Energy management method and system for fluid conduction

Abstract

The present invention provides an energy management method and system for liquid flow conduction, which relates to the field of liquid cooling control technology. The specific implementation scheme is: when the current heat transfer efficiency and / or current conduction energy consumption of the liquid flow conduction system do not meet the preset conditions, the turbulence and reflux in the liquid flow conduction system are optimized by optimizing the liquid flow flow characteristic curve under different turbulence conditions and the liquid flow flow characteristic curve under different reflux conditions in the liquid flow conduction system, thereby improving the heat transfer efficiency of the liquid flow conduction system and reducing its conduction energy consumption.

Description

Technical Field

[0001] The present invention relates to the field of liquid cooling control technology, and in particular to an energy management method and system for liquid flow conduction. Background Art

[0002] In the field of liquid cooling technology, the energy management of liquid flow conduction faces a complex technical problem. During the conduction process of liquid flow, due to differences in flow characteristics, such as the occurrence of turbulence and backflow, the heat dissipation efficiency is reduced and energy consumption is increased. Turbulence will make the flow of liquid flow disordered, destroy the orderliness of the liquid flow, increase the resistance of the liquid flow, and thus lead to a decrease in heat dissipation efficiency. At the same time, the emergence of backflow causes part of the liquid flow to flow in the opposite direction, which not only reduces the heat dissipation efficiency, but also increases energy consumption. How to optimize the heat dissipation efficiency and reduce energy consumption during the liquid flow conduction process is a technical problem that needs to be solved urgently. Summary of the invention

[0003] The present invention provides a method, system, electronic device and storage medium for managing energy conducted by liquid flow, which can solve at least one of the above technical problems.

[0004] According to one aspect of the present invention, there is provided a method for managing energy in fluid conduction, comprising:

[0005] When the current heat transfer efficiency and / or the current conduction energy consumption of the liquid flow conduction system do not meet the preset conditions, based on the historical liquid flow parameters of the liquid flow conduction system, a first liquid flow characteristic curve of the liquid flow conduction system under different turbulent conditions and a second liquid flow characteristic curve of the liquid flow conduction system under different reflux conditions are simulated;

[0006] Based on a preset target heat transfer efficiency and a target conduction energy consumption, optimizing the first liquid flow characteristic curve to obtain a third liquid flow characteristic curve;

[0007] Based on the target heat transfer efficiency and the target conduction energy consumption, optimizing the second liquid flow characteristic curve to obtain a fourth liquid flow characteristic curve;

[0008] Determining a target rotation speed of a fluid pump of the fluid conduction system based on the third fluid flow characteristic curve;

[0009] determining a target opening of a return valve of the fluid conducting system based on the fourth fluid flow characteristic curve;

[0010] Based on the target rotation speed of the fluid pump and the target opening of the return valve of the fluid conduction system, the rotation speed of the fluid pump and the opening of the return valve are adjusted respectively.

[0011] According to another aspect of the present invention, there is provided an energy management system for fluid conduction, comprising:

[0012] a characteristic curve simulation module, for simulating and obtaining a first liquid flow characteristic curve of the liquid flow conduction system under different turbulent conditions and a second liquid flow characteristic curve of the liquid flow conduction system under different reflux conditions based on historical liquid flow parameters of the liquid flow conduction system when the current heat transfer efficiency and / or the current conduction energy consumption of the liquid flow conduction system do not meet preset conditions;

[0013] A first curve optimization module, configured to optimize the first liquid flow characteristic curve based on a preset target heat transfer efficiency and a target conduction energy consumption to obtain a third liquid flow characteristic curve;

[0014] A second curve optimization module, configured to optimize the second liquid flow characteristic curve based on the target heat transfer efficiency and the target conduction energy consumption to obtain a fourth liquid flow characteristic curve;

[0015] a target speed determination module, configured to determine a target speed of a fluid pump of the fluid conduction system based on the third fluid flow characteristic curve;

[0016] a target opening determination module, configured to determine a target opening of a return valve of the liquid flow conducting system based on the fourth liquid flow characteristic curve;

[0017] The liquid flow adjustment module is used to adjust the rotation speed of the liquid flow pump and the opening of the return valve of the liquid flow conduction system based on the target rotation speed of the liquid flow pump and the target opening of the return valve.

[0018] According to another aspect of the present invention, there is provided an electronic device, comprising:

[0019] at least one processor; and

[0020] a memory communicatively connected to the at least one processor; wherein,

[0021] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute any energy management method for liquid flow conduction in the embodiments of the present invention.

[0022] According to another aspect of the present invention, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable the computer to execute the energy management method for fluid conduction according to any one of the embodiments of the present invention.

[0023] According to the technical solution of the present invention, when the current heat transfer efficiency and / or current conduction energy consumption of the liquid flow conduction system do not meet the preset conditions, based on the historical liquid flow parameters of the liquid flow conduction system, the first liquid flow characteristic curve of the liquid flow conduction system under different turbulent conditions and the second liquid flow characteristic curve of the liquid flow conduction system under different reflux conditions are simulated. Furthermore, based on the preset target heat transfer efficiency and target conduction energy consumption, the first liquid flow characteristic curve and the second liquid flow characteristic curve are optimized respectively to obtain the third liquid flow characteristic curve and the fourth liquid flow characteristic curve. In this way, the third liquid flow characteristic curve under each turbulent condition and the fourth liquid flow characteristic curve under each different reflux condition can meet the requirements of the target heat transfer efficiency and the target conduction energy consumption. Therefore, based on the third liquid flow characteristic curve, the target speed of the liquid flow pump of the liquid flow conduction system is determined, and based on the fourth liquid flow characteristic curve, the target opening of the reflux valve of the liquid flow conduction system is determined, and the speed of the liquid flow pump and the opening of the reflux valve are adjusted respectively. In this way, the heat transfer efficiency of the liquid flow conduction system is improved and its conduction energy consumption is reduced by optimizing the turbulence and backflow in the liquid flow in the liquid flow conduction system.

[0024] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The accompanying drawings are used to better understand the present invention and do not constitute a limitation of the present invention.

[0026] Figure 1 is a flow chart of a method for managing energy in fluid conduction according to an embodiment of the present invention;

[0027] Figure 2 is a structural block diagram of a liquid flow-conducted energy management system according to an embodiment of the present invention;

[0028] Figure 3 The block diagram is a block diagram of an electronic device for implementing the method according to the embodiment of the present invention. DETAILED DESCRIPTION

[0029] The following is a description of exemplary embodiments of the present invention in conjunction with the accompanying drawings, including various details of the embodiments of the present invention to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be appreciated by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope of the present invention. Similarly, for clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0030] Figure 1FIG. 4 is a flow chart of a method for managing energy of fluid conduction according to an embodiment of the present invention.

[0031] like Figure 1 As shown, the energy management method of the liquid flow conduction may include:

[0032] S110, when the current heat transfer efficiency and / or the current conduction energy consumption of the liquid flow conduction system do not meet the preset conditions, based on the historical liquid flow parameters of the liquid flow conduction system, simulate and obtain a first liquid flow characteristic curve of the liquid flow conduction system under different turbulence conditions and a second liquid flow characteristic curve of the liquid flow conduction system under different reflux conditions;

[0033] S120, optimizing the first liquid flow characteristic curve based on a preset target heat transfer efficiency and a target conduction energy consumption to obtain a third liquid flow characteristic curve;

[0034] S130, optimizing the second liquid flow characteristic curve based on the target heat transfer efficiency and the target conduction energy consumption to obtain a fourth liquid flow characteristic curve;

[0035] S140, determining a target rotation speed of a liquid flow pump of a liquid flow conducting system based on a third liquid flow characteristic curve;

[0036] S150, determining a target opening of a reflux valve of a liquid flow conducting system based on a fourth liquid flow characteristic curve;

[0037] S160, adjusting the rotation speed of the liquid flow pump and the opening of the reflux valve of the liquid flow conduction system respectively based on the target rotation speed of the liquid flow pump and the target opening of the reflux valve.

[0038] For example, for the current heat transfer efficiency of the liquid flow conduction system, the current liquid flow parameters of the liquid flow conduction system may be calculated based on a pre-established liquid flow conduction thermodynamic model to obtain the current heat transfer efficiency of the liquid flow conduction system.

[0039] For example, for the current conduction energy consumption of the liquid flow conduction system, the current liquid flow parameters of the liquid flow conduction system may be calculated based on a pre-established liquid flow conduction energy consumption prediction model to obtain the current conduction energy consumption of the liquid flow conduction system.

[0040] For example, for the liquid flow conduction thermodynamic model, a support vector machine regressor may be used to learn the historical liquid flow parameters of the liquid flow conduction system and the corresponding historical heat transfer efficiency to obtain the liquid flow conduction thermodynamic model.

[0041] For example, for the liquid flow conduction energy consumption prediction model, a long short-term memory neural network can be used to learn the historical liquid flow parameters and the corresponding historical conduction energy consumption of the liquid flow conduction system to obtain the liquid flow conduction energy consumption prediction model.

[0042] For example, for historical liquid flow parameters and the corresponding historical heat transfer efficiency, sensors can be used to collect data from the liquid flow conduction system, and then the collected data can be filtered and calculated to obtain the historical liquid flow parameters and the corresponding historical heat transfer efficiency.

[0043] Exemplarily, the historical liquid flow parameters may include the turbulence amount, turbulence velocity, backflow amount, backflow velocity, liquid flow temperature, liquid flow velocity and liquid flow pressure at each historical time point.

[0044] Exemplarily, historical liquid flow parameters only related to liquid flow turbulence are selected from historical liquid flow parameters, and then, based on the historical liquid flow parameters only related to liquid flow turbulence, a first liquid flow characteristic curve of the liquid flow conduction system under different turbulence conditions is simulated.

[0045] Exemplarily, the historical liquid flow parameters only related to the liquid flow turbulence may include the turbulence amount, turbulence velocity, liquid flow temperature, liquid flow velocity and liquid flow pressure at each historical time point.

[0046] For example, the least square method or polynomial function may be used to fit the historical liquid flow parameters only related to the liquid flow turbulence to obtain the first liquid flow characteristic curve of the liquid flow conduction system under different turbulence conditions.

[0047] Exemplarily, historical liquid flow parameters only related to liquid flow reflux are selected from the historical liquid flow parameters, and then based on the historical liquid flow parameters only related to liquid flow reflux, a second liquid flow characteristic curve of the liquid flow conduction system under different reflux conditions is simulated.

[0048] Exemplarily, the historical liquid flow parameters only related to the liquid flow reflux may include the reflux volume, reflux velocity, liquid flow temperature, liquid flow velocity, liquid flow pressure, etc. at each historical time point.

[0049] For example, the least square method or polynomial function may be used to fit the historical liquid flow parameters only related to the liquid flow reflux, so as to obtain the second liquid flow characteristic curve of the liquid flow conducting system under different reflux conditions.

[0050] Exemplarily, the first liquid flow characteristic curve is used to describe the liquid flow temperature, liquid flow velocity and liquid flow pressure under different turbulent conditions, such as different turbulence amounts and different turbulent velocities.

[0051] Exemplarily, the second liquid flow characteristic curve is used to describe the liquid temperature, liquid flow velocity and liquid flow pressure under different reflux conditions, such as different reflux amounts and different reflux speeds.

[0052] Exemplarily, based on the preset target heat transfer efficiency and target conduction energy consumption, the data in the first liquid flow characteristic curve that does not meet the target heat transfer efficiency and target conduction energy consumption are optimized to obtain a third liquid flow characteristic curve. In this way, the obtained third liquid flow characteristic curve can also meet the requirements of the target heat transfer efficiency and target conduction energy consumption.

[0053] Exemplarily, based on the target heat transfer efficiency and the target conduction energy consumption, the data in the second liquid flow characteristic curve that does not meet the target heat transfer efficiency and the target conduction energy consumption are optimized to obtain a fourth liquid flow characteristic curve. In this way, the obtained fourth liquid flow characteristic curve can meet the requirements of the target heat transfer efficiency and the target conduction energy consumption.

[0054] According to the above-mentioned embodiment, when the current heat transfer efficiency and / or the current conduction energy consumption of the liquid flow conduction system do not meet the preset conditions, the turbulence and reflux in the liquid flow conduction system are optimized by optimizing the liquid flow characteristic curve under different turbulence conditions and the liquid flow characteristic curve under different reflux conditions in the liquid flow conduction system, thereby improving the heat transfer efficiency of the liquid flow conduction system and reducing its conduction energy consumption.

[0055] In one embodiment, the first liquid flow characteristic curve is used to describe the liquid flow parameter change curve under different turbulent conditions, the turbulent conditions include turbulent amount and turbulent velocity, and the liquid flow parameter change curve includes the liquid flow temperature change curve, the liquid flow velocity change curve and the liquid flow pressure change curve.

[0056] It can be understood that under different turbulence amounts and different turbulence velocities, the temperature, overall flow rate and pressure of the liquid flow in the liquid flow tube are all different.

[0057] It can be understood that the liquid flow temperature variation curve may include a curve showing that the liquid flow temperature varies with changes in turbulence amount and turbulence speed.

[0058] It can be understood that the liquid flow velocity variation curve may include a curve showing that the liquid flow velocity varies with changes in turbulence amount and turbulence velocity.

[0059] It can be understood that the liquid flow pressure variation curve may include a curve showing that the liquid flow pressure varies with changes in turbulence amount and turbulence speed.

[0060] According to the above implementation, the historical liquid flow parameters of the liquid flow conducting system can be fitted to obtain the liquid flow characteristic curves under different turbulent conditions.

[0061] In one embodiment, based on a preset target heat transfer efficiency and a target conduction energy consumption, the first liquid flow characteristic curve is optimized to obtain a third liquid flow characteristic curve, including: based on a pre-established liquid flow conduction thermodynamic model, the liquid flow temperature, liquid flow velocity and liquid flow pressure under each turbulent condition in the first liquid flow flow characteristic curve are calculated to obtain the heat transfer efficiency under each turbulent condition; based on a pre-established liquid flow conduction energy consumption prediction model, the liquid flow temperature, liquid flow velocity and liquid flow pressure under each turbulent condition in the first liquid flow flow characteristic curve are calculated to obtain the predicted conduction energy consumption under each turbulent condition; based on the heat transfer efficiency and the predicted conduction energy consumption under each turbulent condition, in each turbulent condition, the target turbulence condition corresponding to the heat transfer efficiency being lower than the target heat transfer efficiency and / or the predicted conduction energy consumption being higher than the target conduction energy consumption is determined; based on the target turbulent condition, the first liquid flow flow characteristic curve is optimized to obtain the third liquid flow flow characteristic curve.

[0062] Exemplarily, by inputting the liquid flow temperature, liquid flow velocity and liquid flow pressure under specified turbulent conditions into the liquid flow conduction thermodynamic model, the heat transfer efficiency under the turbulent conditions output by the liquid flow conduction thermodynamic model can be obtained.

[0063] Exemplarily, by inputting the liquid flow temperature, liquid flow velocity and liquid flow pressure under specified turbulent conditions into the liquid flow conduction energy consumption prediction model, the predicted conduction energy consumption under the turbulent conditions output by the liquid flow conduction energy consumption prediction model can be obtained.

[0064] It will be appreciated that the target turbulence condition may include one or more.

[0065] Exemplarily, the liquid flow temperature, liquid flow velocity and liquid flow pressure under each target turbulent condition in the first liquid flow characteristic curve are deleted to obtain a third liquid flow characteristic curve.

[0066] According to the above embodiment, based on the preset target heat transfer efficiency and target conduction energy consumption, the first liquid flow characteristic curve is optimized to obtain the third liquid flow characteristic curve, so that the obtained third liquid flow characteristic curve can also meet the requirements of the target heat transfer efficiency and the target conduction energy consumption.

[0067] In one embodiment, based on the third liquid flow characteristic curve, the target speed of the liquid flow pump of the liquid flow conduction system is determined, including: based on the third liquid flow characteristic curve, determining the turbulence amount variation range and the turbulence velocity variation range; based on the turbulence amount variation range and the turbulence velocity variation range, determining the allowable speed variation range of the liquid flow pump; based on the allowable speed variation range of the liquid flow pump, determining the target speed of the liquid flow pump.

[0068] Exemplarily, the turbulence amount variation range is determined based on the turbulence amount peak value and the turbulence amount valley value in the third liquid flow flow characteristic curve.

[0069] Exemplarily, the turbulent velocity variation range is determined based on the turbulent velocity peak value and the turbulent velocity valley value in the third liquid flow flow characteristic curve.

[0070] Exemplarily, based on the turbulence amount variation range and the turbulence velocity variation range, the corresponding speed variation range is determined in the pre-established mapping relationship between the turbulence amount, turbulence velocity and rotational speed, and the speed variation range is used as the allowable speed variation range of the liquid flow pump.

[0071] Exemplarily, any speed, median, maximum value or minimum value in the allowable speed variation range of the liquid flow pump is used as the target speed of the liquid flow pump.

[0072] According to the above embodiment, since the third liquid flow characteristic curve can meet the requirements of target heat transfer efficiency and target conduction energy consumption, the target speed of the liquid flow pump determined based on the third liquid flow characteristic curve also enables the liquid flow conduction system to meet the requirements of target heat transfer efficiency and target conduction energy consumption.

[0073] In one embodiment, the second liquid flow characteristic curve is used to describe the liquid flow parameter change curve under different reflux conditions, the reflux conditions include reflux volume and reflux velocity, and the liquid flow parameter change curve includes the liquid flow temperature change curve, the liquid flow velocity change curve and the liquid flow pressure change curve.

[0074] It can be understood that under different turbulence amounts and different turbulence velocities, the temperature, overall flow rate and pressure of the liquid flow in the liquid flow tube are all different.

[0075] It can be understood that the liquid flow temperature variation curve may include a curve showing that the liquid flow temperature varies with changes in turbulence amount and turbulence speed.

[0076] It can be understood that the liquid flow velocity variation curve may include a curve showing that the liquid flow velocity varies with changes in turbulence amount and turbulence velocity.

[0077] It can be understood that the liquid flow pressure variation curve may include a curve showing that the liquid flow pressure varies with changes in turbulence amount and turbulence speed.

[0078] According to the above implementation, the historical liquid flow parameters of the liquid flow conducting system can be fitted to obtain the liquid flow characteristic curves under different turbulent conditions.

[0079] In one embodiment, based on the target heat transfer efficiency and the target conduction energy consumption, the second liquid flow characteristic curve is optimized to obtain a fourth liquid flow characteristic curve, including:

[0080] Based on the pre-established liquid flow conduction thermodynamic model, the liquid flow temperature, liquid flow velocity and liquid flow pressure under each reflux condition in the second liquid flow flow characteristic curve are calculated to obtain the heat transfer efficiency under each reflux condition;

[0081] Based on a pre-established liquid flow conduction energy consumption prediction model, the liquid flow temperature, liquid flow velocity and liquid flow pressure under each reflux condition in the second liquid flow flow characteristic curve are calculated to obtain the predicted conduction energy consumption under each reflux condition;

[0082] Based on the heat transfer efficiency and predicted conduction energy consumption under each reflow condition, determining, in each reflow condition, a target reflow condition corresponding to when the heat transfer efficiency is lower than the target heat transfer efficiency and / or the predicted conduction energy consumption is higher than the target conduction energy consumption;

[0083] Based on the target reflux condition, the second liquid flow characteristic curve is optimized to obtain a fourth liquid flow characteristic curve.

[0084] Exemplarily, the liquid flow temperature, liquid flow velocity and liquid flow pressure under specified reflux conditions are input into the liquid flow conduction thermodynamic model to obtain the heat transfer efficiency under the specified reflux conditions output by the liquid flow conduction thermodynamic model.

[0085] Exemplarily, the liquid flow temperature, liquid flow velocity and liquid flow pressure under specified reflux conditions are input into the liquid flow conduction energy consumption prediction model to obtain the predicted conduction energy consumption under the specified reflux conditions output by the liquid flow conduction energy consumption prediction model.

[0086] It will be appreciated that the target reflux condition may include one or more.

[0087] Exemplarily, the liquid flow temperature, liquid flow velocity and liquid flow pressure under each target reflux condition in the second liquid flow characteristic curve are deleted to obtain a fourth liquid flow characteristic curve.

[0088] According to the above embodiment, based on the preset target heat transfer efficiency and target conduction energy consumption, the second liquid flow characteristic curve is optimized to obtain the fourth liquid flow characteristic curve, so that the obtained fourth liquid flow characteristic curve can also meet the requirements of the target heat transfer efficiency and the target conduction energy consumption.

[0089] In one embodiment, based on the fourth liquid flow characteristic curve, the target opening of the reflux valve of the liquid flow conduction system is determined, including: based on the fourth liquid flow characteristic curve, determining the reflux amount variation range and the reflux speed variation range; based on the reflux amount variation range and the reflux speed variation range, determining the allowable opening variation range of the reflux valve; based on the allowable opening variation range of the reflux valve, determining the target opening of the liquid flow pump.

[0090] Exemplarily, the reflux amount variation range is determined based on the reflux amount peak value and the reflux amount valley value in the fourth liquid flow flow characteristic curve.

[0091] Exemplarily, the reflux velocity variation range is determined based on the reflux velocity peak value and the reflux velocity valley value in the fourth liquid flow flow characteristic curve.

[0092] Exemplarily, based on the reflux amount variation range and the reflux speed variation range, the corresponding opening variation range is determined in the pre-established mapping relationship between the reflux amount, the reflux speed and the opening degree, and the opening variation range is used as the allowable opening variation range of the reflux valve.

[0093] Exemplarily, any rotation speed, median, maximum value or minimum value in the allowable opening variation range of the return valve is used as the target opening of the return valve.

[0094] According to the above embodiment, since the fourth liquid flow characteristic curve can meet the requirements of target heat transfer efficiency and target conduction energy consumption, the target opening of the return valve determined based on the fourth liquid flow characteristic curve also enables the liquid flow conduction system to meet the requirements of target heat transfer efficiency and target conduction energy consumption.

[0095] Figure 2 It is a structural block diagram of a liquid flow-conducting energy management system according to an embodiment of the present disclosure.

[0096] like Figure 2 As shown, the energy management system conducted by the liquid flow comprises:

[0097] The characteristic curve simulation module 210 is used to simulate and obtain a first liquid flow characteristic curve of the liquid flow conduction system under different turbulence conditions and a second liquid flow characteristic curve of the liquid flow conduction system under different reflux conditions based on historical liquid flow parameters of the liquid flow conduction system when the current heat transfer efficiency and / or the current conduction energy consumption of the liquid flow conduction system do not meet the preset conditions;

[0098] A first curve optimization module 220, configured to optimize the first liquid flow characteristic curve based on a preset target heat transfer efficiency and a target conduction energy consumption to obtain a third liquid flow characteristic curve;

[0099] A second curve optimization module 230, configured to optimize the second liquid flow characteristic curve based on the target heat transfer efficiency and the target conduction energy consumption to obtain a fourth liquid flow characteristic curve;

[0100] A target speed determination module 240, configured to determine a target speed of a fluid pump of the fluid conduction system based on the third fluid flow characteristic curve;

[0101] A target opening determination module 250, configured to determine a target opening of a return valve of the fluid conducting system based on the fourth fluid flow characteristic curve;

[0102] The liquid flow adjustment module 260 is used to adjust the speed of the liquid flow pump and the opening of the return valve of the liquid flow conduction system based on the target speed of the liquid flow pump and the target opening of the return valve.

[0103] In one embodiment, the first liquid flow characteristic curve is used to describe the liquid flow parameter change curve under different turbulent conditions, the turbulent conditions include turbulence amount and turbulent velocity, and the liquid flow parameter change curve includes a liquid flow temperature change curve, a liquid flow velocity change curve and a liquid flow pressure change curve.

[0104] In one embodiment, the first curve optimization module 220 includes:

[0105] a first efficiency determination unit, configured to calculate the liquid flow temperature, liquid flow velocity and liquid flow pressure under each turbulent flow condition in the first liquid flow characteristic curve based on a pre-established liquid flow conduction thermodynamic model, and obtain the heat transfer efficiency under each turbulent flow condition;

[0106] a first energy consumption determination unit, configured to calculate the liquid flow temperature, liquid flow velocity and liquid flow pressure under each turbulent flow condition in the first liquid flow characteristic curve based on a pre-established liquid flow conduction energy consumption prediction model, and obtain predicted conduction energy consumption under each turbulent flow condition;

[0107] A first condition determination unit is used to determine, based on the heat transfer efficiency and the predicted conduction energy consumption under each turbulent condition, a target turbulence condition corresponding to when the heat transfer efficiency is lower than the target heat transfer efficiency and / or the predicted conduction energy consumption is higher than the target conduction energy consumption under each turbulent condition;

[0108] The first curve optimization unit is used to optimize the first liquid flow characteristic curve based on the target turbulence condition to obtain the third liquid flow characteristic curve.

[0109] In one implementation, the target speed determination module 240 includes:

[0110] A first range determination unit, configured to determine a turbulence amount variation range and a turbulence velocity variation range based on the third liquid flow characteristic curve;

[0111] A second range determination unit, configured to determine an allowable rotation speed variation range of the liquid flow pump based on the turbulence amount variation range and the turbulence velocity variation range;

[0112] The target rotation speed determination unit is used to determine the target rotation speed of the liquid flow pump based on the allowable rotation speed variation range of the liquid flow pump.

[0113] In one embodiment, the second liquid flow characteristic curve is used to describe the liquid flow parameter change curve under different reflux conditions, the reflux conditions include reflux volume and reflux velocity, and the liquid flow parameter change curve includes a liquid flow temperature change curve, a liquid flow velocity change curve and a liquid flow pressure change curve.

[0114] In one embodiment, the second curve optimization module 230 includes:

[0115] A second efficiency determination unit is used to calculate the liquid flow temperature, liquid flow velocity and liquid flow pressure under each reflux condition in the second liquid flow characteristic curve based on a pre-established liquid flow conduction thermodynamic model to obtain the heat transfer efficiency under each reflux condition;

[0116] a second energy consumption determination unit, configured to calculate the liquid flow temperature, liquid flow velocity and liquid flow pressure under each reflux condition in the second liquid flow characteristic curve based on a pre-established liquid flow conduction energy consumption prediction model, and obtain predicted conduction energy consumption under each reflux condition;

[0117] A second condition determination unit is used to determine, based on the heat transfer efficiency and the predicted conduction energy consumption under each reflow condition, a target reflow condition corresponding to when the heat transfer efficiency is lower than the target heat transfer efficiency and / or the predicted conduction energy consumption is higher than the target conduction energy consumption in each reflow condition;

[0118] The second curve optimization unit is used to optimize the second liquid flow characteristic curve based on the target reflux condition to obtain the fourth liquid flow characteristic curve.

[0119] In one implementation, the target opening determination module 250 includes:

[0120] a third range determination unit, configured to determine a reflux amount variation range and a reflux speed variation range based on the fourth liquid flow flow characteristic curve;

[0121] a fourth range determination unit, configured to determine an allowable opening variation range of the reflux valve based on the reflux amount variation range and the reflux speed variation range;

[0122] The target opening determination unit is used to determine the target rotation speed of the liquid flow pump based on the allowable opening variation range of the liquid flow pump.

[0123] For the description of specific functions and examples of each module and submodule in the system of the embodiment of the present invention, reference can be made to the relevant description of the corresponding steps in the above method embodiment, which will not be repeated here.

[0124] In the technical solution of the present invention, the acquisition, storage and application of user personal information involved are in compliance with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0125] According to an embodiment of the present invention, the present invention also provides an electronic device and a readable storage medium.

[0126] Figure 3 A schematic block diagram of an example electronic device 800 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0127] like Figure 3 As shown, the device 800 includes a computing unit 801, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 802 or a computer program loaded from a storage unit 808 to a random access memory (RAM) 803. In the RAM 803, various programs and data required for the operation of the device 800 can also be stored. The computing unit 801, the ROM 802, and the RAM 803 are connected to each other via a bus 804. An input / output (I / O) interface 805 is also connected to the bus 804.

[0128] A number of components in the device 800 are connected to the I / O interface 805, including: an input unit 806, such as a keyboard, a mouse, etc.; an output unit 807, such as various types of displays, speakers, etc.; a storage unit 808, such as a disk, an optical disk, etc.; and a communication unit 809, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 809 allows the device 800 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0129] The computing unit 801 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 801 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 801 performs the various methods and processes described above, such as the industrial equipment data processing method. For example, in some embodiments, the industrial equipment data processing method may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 808. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 800 via the ROM 802 and / or the communication unit 809. When the computer program is loaded into the RAM 803 and executed by the computing unit 801, one or more steps of the industrial equipment data processing method described above may be performed. Alternatively, in other embodiments, the computing unit 801 may be configured to perform the industrial equipment data processing method in any other appropriate manner (e.g., by means of firmware).

[0130] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0131] The program code for implementing the method of the present invention can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code can be executed entirely on the machine, partially on the machine, partially on the machine as a stand-alone software package and partially on a remote machine, or entirely on a remote machine or server.

[0132] In the context of the present invention, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0133] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0134] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0135] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0136] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution disclosed in the present invention can be achieved, and this document does not limit this.

[0137] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for managing energy in fluid conduction, characterized in that: include: When the current heat transfer efficiency and / or the current conduction energy consumption of the liquid flow conduction system do not meet the preset conditions, based on the historical liquid flow parameters of the liquid flow conduction system, a first liquid flow characteristic curve of the liquid flow conduction system under different turbulent conditions and a second liquid flow characteristic curve of the liquid flow conduction system under different reflux conditions are simulated; Based on a pre-established thermodynamic model of liquid flow conduction, the liquid flow temperature, liquid flow velocity and liquid flow pressure under each turbulent condition in the first liquid flow flow characteristic curve are calculated to obtain the heat transfer efficiency under each turbulent condition; based on a pre-established liquid flow conduction energy consumption prediction model, the liquid flow temperature, liquid flow velocity and liquid flow pressure under each turbulent condition in the first liquid flow flow characteristic curve are calculated to obtain the predicted conduction energy consumption under each turbulent condition; based on the heat transfer efficiency and predicted conduction energy consumption under each turbulent condition, in each turbulent condition, the target turbulent condition corresponding to the heat transfer efficiency being lower than the target heat transfer efficiency and / or the predicted conduction energy consumption being higher than the target conduction energy consumption is determined; based on the target turbulent condition, the first liquid flow flow characteristic curve is optimized to obtain a third liquid flow flow characteristic curve; Based on a pre-established liquid flow conduction thermodynamic model, the liquid flow temperature, liquid flow velocity and liquid flow pressure under each reflux condition in the second liquid flow characteristic curve are calculated to obtain the heat transfer efficiency under each reflux condition; Based on a pre-established liquid flow conduction energy consumption prediction model, the liquid flow temperature, liquid flow velocity and liquid flow pressure under each reflux condition in the second liquid flow flow characteristic curve are calculated to obtain the predicted conduction energy consumption under each reflux condition; based on the heat transfer efficiency and predicted conduction energy consumption under each reflux condition, in each reflux condition, a target reflux condition corresponding to when the heat transfer efficiency is lower than the target heat transfer efficiency and / or the predicted conduction energy consumption is higher than the target conduction energy consumption is determined; Based on the target reflux condition, optimizing the second liquid flow characteristic curve to obtain a fourth liquid flow characteristic curve; Determining a target rotation speed of a fluid pump of the fluid conduction system based on the third fluid flow characteristic curve; determining a target opening of a return valve of the fluid conducting system based on the fourth fluid flow characteristic curve; Based on the target rotation speed of the fluid pump and the target opening of the return valve of the fluid conduction system, the rotation speed of the fluid pump and the opening of the return valve are adjusted respectively.

2. The method according to claim 1, characterized in that The first liquid flow characteristic curve is used to describe the liquid flow parameter change curve under different turbulent conditions, the turbulent conditions include turbulent amount and turbulent velocity, and the liquid flow parameter change curve includes a liquid flow temperature change curve, a liquid flow velocity change curve and a liquid flow pressure change curve.

3. The method according to claim 1, characterized in that Determining a target rotation speed of a liquid flow pump of the liquid flow conducting system based on the third liquid flow characteristic curve includes: Based on the third liquid flow characteristic curve, determining a turbulence amount variation range and a turbulence velocity variation range; Determining an allowable speed variation range of the liquid flow pump based on the turbulence amount variation range and the turbulence velocity variation range; Based on the allowable speed variation range of the liquid flow pump, a target speed of the liquid flow pump is determined.

4. The method according to claim 1, characterized in that: The second liquid flow characteristic curve is used to describe the liquid flow parameter change curve under different reflux conditions, the reflux conditions include reflux volume and reflux velocity, and the liquid flow parameter change curve includes a liquid flow temperature change curve, a liquid flow velocity change curve and a liquid flow pressure change curve.

5. The method according to claim 1, characterized in that Determining the target opening of the return valve of the liquid flow conducting system based on the fourth liquid flow characteristic curve includes: Determining a reflux amount variation range and a reflux velocity variation range based on the fourth liquid flow flow characteristic curve; Determining an allowable opening variation range of the reflux valve based on the reflux amount variation range and the reflux speed variation range; Based on the allowable opening variation range of the return valve, a target opening of the return valve is determined.

6. A fluid-conducting energy management system, characterized in that: include: a characteristic curve simulation module, for simulating and obtaining a first liquid flow characteristic curve of the liquid flow conduction system under different turbulent conditions and a second liquid flow characteristic curve of the liquid flow conduction system under different reflux conditions based on historical liquid flow parameters of the liquid flow conduction system when the current heat transfer efficiency and / or the current conduction energy consumption of the liquid flow conduction system do not meet preset conditions; A first curve optimization module, configured to optimize the first liquid flow characteristic curve based on a preset target heat transfer efficiency and a target conduction energy consumption to obtain a third liquid flow characteristic curve; A second curve optimization module, configured to optimize the second liquid flow characteristic curve based on the target heat transfer efficiency and the target conduction energy consumption to obtain a fourth liquid flow characteristic curve; a target speed determination module, configured to determine a target speed of a fluid pump of the fluid conduction system based on the third fluid flow characteristic curve; a target opening determination module, configured to determine a target opening of a return valve of the liquid flow conducting system based on the fourth liquid flow characteristic curve; A liquid flow adjustment module, used to adjust the speed of the liquid flow pump and the opening of the return valve of the liquid flow conduction system based on the target speed of the liquid flow pump and the target opening of the return valve; Wherein, the first curve optimization module includes: a first efficiency determination unit, configured to calculate the liquid flow temperature, liquid flow velocity and liquid flow pressure under each turbulent flow condition in the first liquid flow characteristic curve based on a pre-established liquid flow conduction thermodynamic model, and obtain the heat transfer efficiency under each turbulent flow condition; a first energy consumption determination unit, configured to calculate the liquid flow temperature, liquid flow velocity and liquid flow pressure under each turbulent flow condition in the first liquid flow characteristic curve based on a pre-established liquid flow conduction energy consumption prediction model, and obtain predicted conduction energy consumption under each turbulent flow condition; A first condition determination unit is used to determine, based on the heat transfer efficiency and the predicted conduction energy consumption under each turbulent condition, a target turbulence condition corresponding to when the heat transfer efficiency is lower than the target heat transfer efficiency and / or the predicted conduction energy consumption is higher than the target conduction energy consumption under each turbulent condition; A first curve optimization unit, configured to optimize the first liquid flow characteristic curve based on the target turbulence condition to obtain the third liquid flow characteristic curve; Wherein, the second curve optimization module includes: A second efficiency determination unit is used to calculate the liquid flow temperature, liquid flow velocity and liquid flow pressure under each reflux condition in the second liquid flow characteristic curve based on a pre-established liquid flow conduction thermodynamic model to obtain the heat transfer efficiency under each reflux condition; a second energy consumption determination unit, configured to calculate the liquid flow temperature, liquid flow velocity and liquid flow pressure under each reflux condition in the second liquid flow characteristic curve based on a pre-established liquid flow conduction energy consumption prediction model, and obtain predicted conduction energy consumption under each reflux condition; A second condition determination unit is used to determine, based on the heat transfer efficiency and the predicted conduction energy consumption under each reflow condition, a target reflow condition corresponding to when the heat transfer efficiency is lower than the target heat transfer efficiency and / or the predicted conduction energy consumption is higher than the target conduction energy consumption in each reflow condition; The second curve optimization unit is used to optimize the second liquid flow characteristic curve based on the target reflux condition to obtain the fourth liquid flow characteristic curve.

7. An electronic device comprising: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 5.

8. A non-transitory computer-readable storage medium storing computer instructions, wherein: The computer instructions are used to make a computer execute the method according to any one of claims 1-5.

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