Control method and device of nanofluid temperature adjusting system and temperature adjusting equipment

Abstract

The invention provides a control method and device of a nanofluid temperature adjusting system and temperature adjusting equipment. The method comprises the following steps: acquiring a target environment parameter, a real-time environment parameter and a control parameter of a nanofluid temperature adjusting system; wherein the environmental parameters comprise temperature and humidity, and the control parameters comprise the flow velocity of the nanofluid heat exchanger; based on the duration of the previous control period, the real-time environment parameters at the beginning and the real-time environment parameters at the ending, determining the environment parameter change rate of the previous control period; and determining the length of the current control period based on the environmental parameter change rate of the previous control period, and determining the control parameter of the next control period according to the target environmental parameter and the real-time environmental parameter at the end of the current control period. The advantages of high efficiency and fast response of the nanofluid heat exchanger can be fully utilized, and the overall response speed and efficiency of the temperature adjusting system are optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of temperature control, and in particular to a control method, device and temperature control equipment for a nanofluid temperature control system. Background Art

[0002] Nanofluid technology has shown great potential in the field of heat conduction and cooling in recent years. Nanofluids are nanoscale particles (such as metals, oxides) dispersed in a base liquid (such as water, ethylene glycol) to form a fluid with high thermal conductivity. Nanofluids are significantly better than traditional fluids in heat transfer performance and have the following advantages: High thermal conductivity: The high thermal conductivity of nanoparticles greatly improves the overall thermal conductivity of nanofluids and enhances heat transfer efficiency.

[0003] The intelligent energy-saving household air-conditioning system based on nanofluids can realize efficient, energy-saving and environmentally friendly household air-conditioning solutions through the efficient heat transfer characteristics of nanofluid heat exchangers. However, the current temperature control system for nanofluids still uses the control method of traditional temperature control systems, which makes it difficult to give full play to the advantages of high heat exchange efficiency of nanofluid heat exchangers. Summary of the invention

[0004] The embodiments of the present invention provide a control method, a device and a temperature control equipment of a nanofluid temperature control system to solve the problem of improving the temperature control effect of the nanofluid temperature control system.

[0005] In a first aspect, an embodiment of the present invention provides a control method for a nanofluid temperature control system, comprising:

[0006] Obtaining target environmental parameters, real-time environmental parameters and control parameters of the nanofluid temperature control system; wherein the environmental parameters include temperature and humidity, and the control parameters include the flow rate of the nanofluid heat exchanger;

[0007] Determine the rate of change of the environmental parameters of the previous control cycle based on the duration of the previous control cycle, the real-time environmental parameters at the beginning, and the real-time environmental parameters at the end;

[0008] The length of the current control cycle is determined based on the rate of change of the environmental parameters of the previous control cycle, and the control parameters of the next control cycle are determined based on the target environmental parameters and the real-time environmental parameters at the end of the current control cycle.

[0009] In a possible implementation, determining the length of the current control cycle based on the rate of change of the environmental parameter in the previous control cycle includes:

[0010] Based on the target parameters and the rate of change of the environmental parameters in the previous control cycle, predict the time required for the real-time environmental parameters to reach the target environmental parameters;

[0011] The length of the current control cycle is determined based on the adjustment time and the preset number of adjustments.

[0012] In a possible implementation, determining the length of the current control cycle based on the rate of change of the environmental parameter in the previous control cycle includes:

[0013] Based on the rate of change of environmental parameters in the previous control cycle, predict the time required for the real-time environmental parameters to reach the target environmental parameters;

[0014] Based on the ratio of the adjustment time to the preset adjustment time, the preset control period length corresponding to the preset adjustment time is adjusted proportionally to obtain the length of the current control period.

[0015] In a possible implementation, before predicting the adjustment time for the real-time environmental parameter to reach the target environmental parameter based on the target parameter and the rate of change of the environmental parameter in the previous control cycle, the method further includes:

[0016] Determine the environmental parameter fluctuation rate based on the prediction model and the historical fluctuation data of the environmental parameters;

[0017] Accordingly, based on the target parameter and the rate of change of the environmental parameter in the previous control cycle, the adjustment time for the real-time environmental parameter to reach the target environmental parameter is predicted, including:

[0018] Based on the environmental parameter fluctuation rate and the environmental parameter change rate of the previous control cycle, the temperature adjustment time required for the real-time environmental parameters to reach the target environmental parameters is predicted.

[0019] In a possible implementation, each control cycle includes a plurality of sampling moments, and a sampling interval is formed between each two sampling moments; determining the length of the current control cycle based on the rate of change of the environmental parameter of the previous control cycle further includes:

[0020] Based on the real-time environmental parameters at multiple sampling moments in the previous control cycle, determine the environmental parameter change rate of each sampling interval in the previous control cycle, and use the sampling moment when the environmental parameter change rate changes as the change moment;

[0021] Determine the response time of the control unit, the pump and the valve based on the difference between the start time and the change time of the previous control cycle;

[0022] Adjust the length of the current control cycle based on the response time.

[0023] In a possible implementation, the method further includes:

[0024] If there is no previous control cycle, the difference between the real-time environmental parameter and the target environmental parameter is calculated;

[0025] If the difference is greater than a first preset threshold, determining an initial flow rate of the nanofluid heat exchanger based on the difference;

[0026] The duration of the initial control cycle is determined based on the rate of change of the environmental parameter corresponding to the initial flow rate.

[0027] In a possible implementation, determining the control parameters of the next control cycle based on the real-time environmental parameters at the end of the current control cycle includes:

[0028] If the difference between the real-time environmental parameters at the end of the current control cycle and the real-time environmental parameters at the beginning of the current control cycle is greater than a second preset threshold, the control parameters of the next control cycle are determined based on the real-time environmental parameters at the end of the current control cycle.

[0029] In a second aspect, an embodiment of the present invention provides a control device for a nanofluid temperature control system, comprising:

[0030] An acquisition module, used to acquire target environmental parameters, real-time environmental parameters and control parameters of the nanofluid temperature control system; wherein the environmental parameters include temperature and humidity, and the control parameters include the flow rate of the nanofluid heat exchanger;

[0031] A calculation module, for determining a rate of change of the environmental parameters of the previous control cycle based on the duration of the previous control cycle, the real-time environmental parameters at the beginning, and the real-time environmental parameters at the end;

[0032] The control module is used to determine the length of the current control cycle based on the rate of change of the environmental parameters of the previous control cycle, and to determine the control parameters of the next control cycle based on the target environmental parameters and the real-time environmental parameters at the end of the current control cycle.

[0033] In a third aspect, an embodiment of the present invention provides a temperature control device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the method described in the first aspect or any possible implementation method of the first aspect are implemented.

[0034] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method described in the first aspect or any possible implementation method of the first aspect are implemented.

[0035] The embodiments of the present invention provide a control method, device and temperature control equipment for a nanofluid temperature control system. The length of the current control cycle is determined by the rate of change of the environmental parameters of the previous control cycle, thereby changing the time when the current control cycle ends, that is, changing the time when the control parameters of the next control cycle are determined. When the temperature and humidity control speeds of the nanofluid temperature control system are fast, the control cycle can be shortened accordingly, fully utilizing the advantages of the high efficiency and fast response of the nanofluid heat exchanger, and optimizing the overall response speed and efficiency of the temperature control system. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0037] Figure 1 This is an application scenario diagram of a control method for a nanofluid temperature control system provided by an embodiment of the present invention;

[0038] Figure 2 is a schematic structural diagram of a nanofluid heat exchanger provided by an embodiment of the present invention;

[0039] Figure 3 is a flow chart of a control method for a nanofluid temperature control system provided by an embodiment of the present invention;

[0040] Figure 4 is a control logic block diagram of a nanofluid temperature control system provided by an embodiment of the present invention;

[0041] Figure 5 is a schematic structural diagram of a nanofluid temperature control system provided by another embodiment of the present invention;

[0042] Figure 6 A control logic block diagram of a nanofluid temperature control system provided by another embodiment of the present invention;

[0043] Figure 7 is a schematic structural diagram of a control device for a nanofluid temperature control system provided by an embodiment of the present invention;

[0044] Figure 8 It is a schematic diagram of a temperature control device provided in one embodiment of the present invention. DETAILED DESCRIPTION

[0045] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present invention.

[0046] In order to make the purpose, technical solutions and advantages of the present invention more clear, specific embodiments will be described below in conjunction with the accompanying drawings.

[0047] Figure 1 This is an application scenario diagram of the control method of the nanofluid temperature control system provided by the embodiment of the present invention. Figure 1 As shown in the figure, the nanofluid temperature control system includes the following main components: nanofluid heat exchanger, intelligent control unit, fluid delivery unit, environmental detection unit, and user interface unit. The system uses the nanofluid heat exchanger for efficient heat exchange and uses the intelligent control unit to adjust the operating parameters in real time to achieve the best air conditioning effect. The operating logic of each part is as follows:

[0048] Environmental detection unit: The environmental detection unit includes temperature sensors, humidity sensors and air quality sensors, which are used to monitor indoor and outdoor environmental parameters and provide data support to the intelligent control unit to achieve precise control and optimize air conditioning effects.

[0049] Intelligent control unit: The sensor monitors the system's temperature, humidity, flow rate and other parameters in real time, and the data is sent to the control unit. The control unit generates control signals according to the preset control logic, adjusts the working status of the heat exchanger, pump and valve, and ensures the stable and efficient operation of the system.

[0050] Fluid delivery unit: Pumps and valves control the flow of nanofluids, and realize the flow and circulation of nanofluids through pipelines.

[0051] User interface unit: Users can view the operating status of the air conditioning system through the touch screen and mobile application, adjust the set parameters such as temperature and humidity, and set functions such as timed power on and off.

[0052] The main structure of the nanofluid heat exchanger is as follows: Figure 2 As shown, the working principle is:

[0053] Nanofluids refer to suspensions formed by dispersing nanoscale particles (such as metals, oxides, etc.) in a base fluid (such as water, ethylene glycol, etc.). Due to the high thermal conductivity and Brownian motion of nanoparticles, nanofluids exhibit excellent heat transfer properties.

[0054] Under the action of the pump, the nanofluid enters the microchannel structure of the heat exchanger through the pipeline. Through the microchannel structure, the nanofluid fully contacts the heat source or cold source for efficient heat exchange. Inside the heat exchanger, the nanofluid absorbs or releases heat through conduction and convection to quickly adjust the temperature. It flows back to the circulation system through the fluid delivery system to complete a heat exchange cycle, ensuring continuous and efficient heat exchange. The nanofluid heat exchanger uses the high thermal conductivity and micro-convection effect of the nanofluid to achieve efficient heat exchange through the microchannel structure.

[0055] See also Figure 3 , which shows a flow chart of the implementation of the control method of the nanofluid temperature control system provided by the embodiment of the present invention, and is described in detail as follows:

[0056] Step 301, obtaining target environmental parameters, real-time environmental parameters and control parameters of the nanofluid temperature control system; wherein the environmental parameters include temperature and humidity, and the control parameters include the flow rate of the nanofluid heat exchanger.

[0057] In this embodiment, if Figure 4 As shown, the nanofluid temperature control system monitors the temperature of the system in real time through a temperature sensor and sends the temperature data to the controller, monitors the humidity of the system in real time through a humidity sensor and sends the humidity data to the controller, and monitors the flow rate of the nanofluid in the system in real time through a flow rate sensor and sends the flow rate data to the controller.

[0058] During the control process, the user can set the target temperature or target humidity separately, or set the target temperature and target humidity at the same time. Based on the difference between the real-time ambient temperature and the target temperature, and / or the difference between the real-time ambient humidity and the target humidity, the controller generates a control signal to control the heat exchanger, pump and valve of the nanofluid temperature control system, adjust the operating state of the heat exchanger, optimize the heat exchange process, adjust the start and stop of the pump, ensure the flow and circulation of the nanofluid in the system, adjust the switch state of the valve, and control the fluid flow path.

[0059] like Figure 5 As shown, in some nanofluid temperature control systems, two or more nanofluid heat exchangers may be included. In this case, temperature sensors, humidity sensors, and flow rate sensors monitor the temperature, humidity, and flow rate of the system in real time and send the data to the controller. The controller receives the data from the sensors and can distribute the workload of each nanofluid heat exchanger according to a preset logic. For example, each heat exchanger evenly shares the cooling capacity, or adopts the cooling capacity distribution method with the highest overall system efficiency. After processing the sensor data, a control signal is generated and sent to the corresponding heat exchanger, pump, and valve, respectively, to adjust the operating status of each heat exchanger, pump, and valve, optimize the heat exchange process, and ensure the flow and circulation of the nanofluid.

[0060] Step 302 : determining the rate of change of the environmental parameters of the previous control cycle based on the duration of the previous control cycle, the real-time environmental parameters at the beginning, and the real-time environmental parameters at the end.

[0061] In this embodiment, the differences between the nano heat exchanger and the existing heat exchanger include:

[0062] 1. Structural differences

[0063] Nano heat exchanger:

[0064] Microchannel structure: Nano heat exchangers are usually designed with microchannel structures. The size of these channels is at the micron or nanometer level, which significantly increases the contact area and heat transfer efficiency of the fluid.

[0065] Nanofluids: Use fluids containing nanoparticles, which have high thermal conductivity, further enhancing the heat transfer effect.

[0066] Material selection: Nano heat exchangers are often made of materials with high thermal conductivity (such as copper or aluminum alloy) to maximize heat exchange efficiency.

[0067] Existing heat exchanger:

[0068] Traditional channel structure: Existing heat exchangers usually use larger channels with relatively small contact area, which limits the heat exchange efficiency.

[0069] Traditional fluid: Using conventional coolant (such as water, ethylene glycol, etc.), its thermal conductivity is relatively low, which limits the overall heat exchange effect.

[0070] Material selection: Traditional heat exchangers may also use high thermal conductivity materials, but the overall design limits the improvement of their heat exchange efficiency.

[0071] 2. Differences in operation and control methods

[0072] How to run:

[0073] Nano heat exchanger:

[0074] Efficient heat transfer: Due to the high thermal conductivity of nanofluids and the design of microchannel structure, nano heat exchangers are able to complete a large amount of heat exchange in a shorter time.

[0075] Fast response: Nano heat exchangers can respond quickly to temperature changes and quickly adjust the system operating status to achieve the set temperature target.

[0076] Existing heat exchanger:

[0077] Lower heat transfer efficiency: Due to the limitations of traditional fluids and larger channel structures, the heat exchange efficiency of existing heat exchangers is relatively low.

[0078] Slow response: Existing heat exchangers respond slowly to temperature changes and take a long time to reach the set temperature.

[0079] Control method:

[0080] Nano heat exchanger:

[0081] Intelligent control: Through sensors that monitor temperature, humidity and flow rate data in real time, the intelligent control unit can quickly adjust the flow rate of the pump and the switch status of the valve to optimize the heat exchange process.

[0082] Shortened control cycle: Due to the high efficiency of the nano heat exchanger, the control cycle can be shortened. For example, if the traditional system is adjusted every 10 minutes, the nano heat exchanger can be adjusted every 5 minutes or even less to maintain optimal operation.

[0083] The control cycle refers to the time interval for the system to perform control adjustments. Due to the influence of other factors, the rate of change of environmental parameters when the temperature control system is working is not stable. It should be continuously monitored and the control parameters should be adjusted based on the monitoring results. In the smart energy-saving household air-conditioning system based on nanofluids, the following factors need to be considered in determining the control cycle:

[0084] 1. Sensor data update frequency:

[0085] Data collection frequency: The higher the update frequency of the sensor's real-time collection of temperature, humidity and flow rate data, the faster the system responds to environmental changes.

[0086] 2. Nanofluid heat transfer efficiency:

[0087] Efficient heat exchange: The high thermal conductivity and microchannel structure of nanofluids enable fast heat exchange, and the system can reach the set temperature in a shorter time, allowing more frequent control adjustments.

[0088] 3. System response time:

[0089] Response speed: The faster the response speed of the control unit, pump and valve, the faster the overall adjustment speed of the system, and the control cycle can be shortened.

[0090] 4. Optimization of control algorithm:

[0091] Prediction model: Predict temperature changes through the prediction model, make adjustments in advance, and reduce unnecessary frequent adjustments.

[0092] Therefore, the length of the previous control cycle, the real-time environmental parameters at the beginning and the real-time environmental parameters at the end can be used to determine the rate of change of the environmental parameters of the previous control cycle, that is, the rate of regulation of the ambient temperature and / or the rate of regulation of the ambient humidity by the nanofluid temperature control system during the previous control cycle, so as to dynamically adjust the length of the control cycle according to the actual working efficiency of the nanofluid temperature control system, thereby effectively adjusting the working efficiency of the nanofluid heat exchanger.

[0093] Step 303, based on the rate of change of the environmental parameters of the previous control cycle, determine the length of the current control cycle, and determine the control parameters of the next control cycle based on the target environmental parameters and the real-time environmental parameters at the end of the current control cycle.

[0094] In this embodiment, since the heat exchange rate of the nanofluid heat exchanger is significantly higher than that of the traditional heat exchanger, if the nanofluid temperature control system is controlled according to the control cycle of the traditional heat exchanger, the control parameter adjustment may be delayed. Therefore, the heat exchange rate of the nanofluid heat exchanger can be quantitatively described based on the rate of change of the environmental parameters, and the length of the control cycle can be adjusted in real time, so as to achieve the target environmental parameters set by the user through shorter temperature and humidity control time.

[0095] Figure 6 The interaction between the various parts of the nanofluid temperature control system is demonstrated, including:

[0096] 1. Data collection stage:

[0097] Temperature sensor collects temperature data: The temperature sensor monitors the temperature of the system in real time and sends the temperature data to the controller.

[0098] Humidity sensor collects humidity data: The humidity sensor monitors the humidity of the system in real time and sends the humidity data to the controller.

[0099] Flow rate sensor collects flow rate data: The flow rate sensor monitors the flow rate of the system in real time and sends the flow rate data to the controller.

[0100] 2. Data processing stage:

[0101] The controller receives temperature, humidity and flow rate data: The controller receives data from the temperature sensor, humidity sensor and flow rate sensor, and processes the data.

[0102] Process data and generate control signals: The controller executes the preset control logic and generates control signals based on the received data.

[0103] 3. Control signal sending stage:

[0104] Control heat exchanger: The controller adjusts the operating status of the heat exchanger according to the processing results and optimizes the heat exchange process.

[0105] Control pump start / stop: The controller regulates the start and stop of the pump to ensure the flow and circulation of the nanofluid in the system.

[0106] Control valve on / off: The controller adjusts the on / off state of the valve to control the fluid flow path.

[0107] 4. Status feedback stage:

[0108] Heat exchanger returns status data: The heat exchanger feeds back its operating status data to the controller to ensure the stability and efficiency of the heat exchange process.

[0109] Pump returns to working status: The pump feeds back its working status to the controller to ensure the reliability of the fluid delivery process.

[0110] Valve returns to working status: The valve feeds back its working status to the controller to ensure the correctness of the fluid flow path.

[0111] The embodiment of the present invention determines the length of the current control cycle by the rate of change of the environmental parameters of the previous control cycle, thereby changing the time when the current control cycle ends, that is, changing the time when the control parameters of the next control cycle are determined. When the temperature and humidity control speeds of the nanofluid temperature control system are fast, the control cycle can be shortened accordingly, making full use of the advantages of the high efficiency and fast response of the nanofluid heat exchanger, and optimizing the overall response speed and efficiency of the temperature control system.

[0112] In a possible implementation, determining the length of the current control cycle based on the rate of change of the environmental parameter in the previous control cycle includes:

[0113] Based on the target parameters and the rate of change of the environmental parameters in the previous control cycle, predict the time required for the real-time environmental parameters to reach the target environmental parameters;

[0114] The length of the current control cycle is determined based on the adjustment time and the preset number of adjustments.

[0115] In this embodiment, a nanofluid-based intelligent energy-saving household air conditioning system is assumed, and the specific parameters are as follows:

[0116] Target setting temperature: 24℃

[0117] Current indoor temperature: 28℃

[0118] Sensor data update frequency: 1 second

[0119] Controller response time: 0.5 seconds

[0120] Response time of pump and valve: 0.5 seconds

[0121] Control cycle of traditional heat exchanger:

[0122] For a traditional heat exchanger, assuming that it has a slow response, it takes 30 minutes for the temperature to drop from 28°C to 24°C. Therefore, it can be set to make three adjustments during the entire cooling process, and the control cycle can be set to 10 minutes, that is, one adjustment every 10 minutes.

[0123] Control cycle of nanofluid heat exchanger:

[0124] Due to the high efficiency of the nanofluid heat exchanger, it only takes 15 minutes to reduce the temperature from 28°C to 24°C. Therefore, with the same setting of making three adjustments during the entire cooling process, the control cycle can be greatly shortened to 5 minutes, or even shorter.

[0125] In a possible implementation, determining the length of the current control cycle based on the rate of change of the environmental parameter in the previous control cycle includes:

[0126] Based on the rate of change of environmental parameters in the previous control cycle, predict the time required for the real-time environmental parameters to reach the target environmental parameters;

[0127] Based on the ratio of the adjustment time to the preset adjustment time, the preset control period length corresponding to the preset adjustment time is adjusted proportionally to obtain the length of the current control period.

[0128] In this embodiment, based on the previous embodiment, it is assumed that the temperature response time of the traditional heat exchanger to cool down to the target temperature is 30 minutes, and the corresponding control cycle is 10 minutes. When the temperature response time of the nanofluid heat exchanger is 15 minutes, the control cycle is shortened to 10*(15 / 30)=5 minutes.

[0129] Based on the above steps, the data comparison of the traditional heat exchanger and the nanofluid heat exchanger is shown in Table 1:

[0130] Table 1

[0131]

[0132]

[0133] It can be seen that by shortening the control cycle, the nanofluid heat exchanger system can respond to environmental changes more quickly and keep the indoor temperature within the set range. This not only improves the efficiency of the system, but also significantly reduces energy consumption and provides a more comfortable user experience.

[0134] In a possible implementation, before predicting the adjustment time for the real-time environmental parameter to reach the target environmental parameter based on the target parameter and the rate of change of the environmental parameter in the previous control cycle, the method further includes:

[0135] Determine the environmental parameter fluctuation rate based on the prediction model and the historical fluctuation data of the environmental parameters;

[0136] Accordingly, based on the target parameter and the rate of change of the environmental parameter in the previous control cycle, the adjustment time for the real-time environmental parameter to reach the target environmental parameter is predicted, including:

[0137] Based on the environmental parameter fluctuation rate and the environmental parameter change rate of the previous control cycle, the temperature adjustment time required for the real-time environmental parameters to reach the target environmental parameters is predicted.

[0138] In this embodiment, in addition to the influence of the temperature control system, the environmental parameters are also affected by other factors. For example, human activities and external cold / hot / humid air entering the space where the temperature control system is located will cause the environmental parameters of the space where the temperature control system is located to change. The environmental parameter fluctuation rate refers to the fluctuation of the environmental parameters under the influence of other factors.

[0139] Based on this, by considering the environmental parameter fluctuation rate and the environmental parameter change rate of the previous control cycle at the same time, the temperature adjustment time for the real-time environmental parameters to reach the target environmental parameters can be accurately estimated, and the control cycle duration can be adjusted based on the temperature adjustment time to achieve precise control of the environmental parameters. It can not only respond quickly to temperature changes, but also extend the control cycle in a stable state to save energy.

[0140] In a possible implementation, each control cycle includes a plurality of sampling moments, and a sampling interval is formed between each two sampling moments; determining the length of the current control cycle based on the rate of change of the environmental parameter of the previous control cycle further includes:

[0141] Based on the real-time environmental parameters at multiple sampling moments in the previous control cycle, determine the environmental parameter change rate of each sampling interval in the previous control cycle, and use the sampling moment when the environmental parameter change rate changes as the change moment;

[0142] Determine the response time of the control unit, the pump and the valve based on the difference between the start time and the change time of the previous control cycle;

[0143] Adjust the length of the current control cycle based on the response time.

[0144] In this embodiment, the start time of the previous control cycle is the time when the parameters are adjusted, the sampling time when the environmental parameter change rate changes is the time when the adjustment parameters take effect, and the difference between the two is the response time of the control unit, pump and valve to the adjustment of the control parameters. The faster the response speed of the control unit, pump and valve, the faster the overall adjustment speed of the system, and the control cycle can be shortened.

[0145] When the response time is long, the response speed of the control unit, pump and valve is slow. The actual cycle for adjusting the control parameters = response time + control cycle length. Therefore, to ensure the adjustment effect of the control parameters, the actual control cycle length should be set = the length of the current control cycle determined based on the rate of change of environmental parameters in the previous control cycle - response time.

[0146] In a possible implementation, the method further includes:

[0147] If there is no previous control cycle, the difference between the real-time environmental parameter and the target environmental parameter is calculated;

[0148] If the difference is greater than a first preset threshold, determining an initial flow rate of the nanofluid heat exchanger based on the difference;

[0149] The duration of the initial control cycle is determined based on the rate of change of the environmental parameter corresponding to the initial flow rate.

[0150] In this embodiment, the first preset threshold is used as a start-up condition for the nanofluid heat exchanger. When this condition is met, the nanofluid heat exchanger is started, and the initial flow rate and initial control cycle duration of the nanofluid heat exchanger are determined based on the difference. For example:

[0151] 1. Temperature regulation control logic:

[0152] Start condition: When Tindoor>Tsetting+ΔT (for example, ΔT=1°C).

[0153] Parameter settings:

[0154] Fluid flow rate (Vflow rate): Set the flow rate according to the temperature difference (ΔTactual=Tindoor-Tsetting), for example, Vflow rate=k1*ΔTactual+Vbenchmark, where k1 is the flow rate adjustment coefficient, assuming k1=0.1, Vbenchmark=1m / s, then Vflow rate=0.1*4℃+1m / s=1.4m / s.

[0155] Duration (tduration): set according to the temperature change rate and the current temperature difference. The formula is tduration = ΔTactual / Rcooling, where Rcooling is the cooling rate per unit time.

[0156] 2. Humidity adjustment control logic:

[0157] Start condition: When Hindoor>Hsetting+ΔH (for example, ΔH=5%), the dehumidification mode is started.

[0158] Parameter settings:

[0159] Fluid flow rate (Vflow rate): The flow rate is set according to the humidity difference (ΔHactual = Hroom - Hset), for example, Vflow rate = k2*ΔHactual + Vbase.

[0160] Duration (tContinuous): It is set according to the humidity change rate and the current humidity difference. The formula is tContinuous = ΔHactual / RDehumidification, where RDehumidification is the dehumidification rate per unit time.

[0161] When the initial control cycle ends, the control cycle length and control parameters can be dynamically adjusted based on the initial control cycle and according to environmental changes and system status.

[0162] In a possible implementation, determining the control parameters of the next control cycle based on the real-time environmental parameters at the end of the current control cycle includes:

[0163] If the difference between the real-time environmental parameters at the end of the current control cycle and the real-time environmental parameters at the beginning of the current control cycle is greater than a second preset threshold, the control parameters of the next control cycle are determined based on the real-time environmental parameters at the end of the current control cycle.

[0164] In this embodiment, the working state of the temperature control system can be divided into two stages. In the initial cooling stage, the control cycle is short, for example, 5 minutes; after reaching the target temperature, it enters the maintenance mode, and the control cycle can be extended to 10 minutes. The steps for determining the control cycle and control parameters can be as follows:

[0165] 1. Initial monitoring:

[0166] The temperature sensor collects the current indoor temperature of 28°C and sends the data to the controller.

[0167] 2. First adjustment:

[0168] The controller processes the temperature data and generates control signals to activate pumps and valves, increase the flow rate of the nanofluid, and adjust the flow path.

[0169] 3. Real-time monitoring and adjustment:

[0170] The sensor updates data every second, and the controller checks the current temperature every 5 seconds.

[0171] Assume that within 5 seconds, the temperature change is less than 0.5°C, which is the second preset threshold, and the controller continues to maintain the current state.

[0172] If the temperature changes by more than 0.5°C within 5 seconds, the controller will adjust again based on the new temperature data to continue optimizing system operation.

[0173] 4. Reach the set temperature:

[0174] After 15 minutes of efficient heat exchange, the indoor temperature drops to 24°C and the controller will enter maintenance mode.

[0175] In the maintenance mode, the control cycle can be extended to 10 minutes, that is, the temperature change is checked every 10 minutes to ensure that the temperature is stable at 24°C.

[0176] In a specific embodiment, assuming that the indoor temperature rises, the user hopes to lower the indoor temperature to a set comfort temperature.

[0177] Specific working process:

[0178] 1. Environmental testing stage:

[0179] The temperature sensor detected that the indoor temperature rose to 28°C (higher than the set 24°C).

[0180] The humidity sensor detects that the indoor humidity is 60% (the set humidity is 50%).

[0181] The flow rate sensor detects that the current flow rate of the nanofluid is a normal value.

[0182] 2. Data transmission and processing:

[0183] The temperature sensor sends the temperature data of 28℃ to the controller.

[0184] The humidity sensor sends 60% humidity data to the controller.

[0185] The flow rate sensor sends the flow rate data to the controller.

[0186] 3. Controller decision:

[0187] The controller receives temperature, humidity and flow rate data.

[0188] The controller determines according to the set control logic that the current indoor temperature is higher than the set value and the humidity is also higher than the set value, and the cooling and dehumidification process needs to be started.

[0189] 4. Control signal sending:

[0190] Controlling heat exchangers: The controller sends signals to the nanofluid heat exchanger to adjust its working state and enhance the heat exchange efficiency to accelerate cooling.

[0191] Controlling the pump: The controller sends a signal to start the pump to increase the circulation flow rate of the nanofluid, ensuring more efficient heat exchange.

[0192] Control valve: The controller sends a signal to open the corresponding valve and adjust the flow path of the nanofluid so that it passes through the area that needs to be cooled first.

[0193] 5. Status feedback and adjustment:

[0194] The nanofluid heat exchanger is adjusted according to the control signal and feeds back the current operating status data (such as the temperature in the heat exchanger is reduced to 20°C) to the controller.

[0195] After the pump is started, the increased flow data is fed back to the controller to ensure smooth fluid circulation.

[0196] After the valve is opened, its switch status and flow data are fed back to the controller.

[0197] 6. Continuous monitoring and optimization:

[0198] The controller continuously monitors sensor data and adjusts the operating status of heat exchangers, pumps and valves in real time.

[0199] When the indoor temperature drops to 24°C and the humidity drops to 50%, the controller will send a signal to reduce the flow rate of the pump and close some valves to maintain the current comfortable environment while saving energy.

[0200] Through the above working process, the system achieves the following goals:

[0201] Efficient cooling: The nanofluid heat exchanger optimizes heat exchange efficiency and quickly reduces the indoor temperature to the set value.

[0202] Precise control: The controller dynamically adjusts the operating status of each component based on real-time data to ensure efficient operation of the system.

[0203] Energy saving and environmental protection: After reaching the set temperature, the system automatically reduces power consumption, maintaining a comfortable environment while saving energy.

[0204] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0205] The following is an embodiment of the device of the present invention. For details not described in detail therein, reference may be made to the corresponding method embodiment described above.

[0206] Figure 7 The schematic diagram of the structure of the control device of the nanofluid temperature control system provided by the embodiment of the present invention is shown. For the convenience of description, only the part related to the embodiment of the present invention is shown, which is described in detail as follows:

[0207] like Figure 7 As shown, the control device 7 of the nanofluid temperature control system includes:

[0208] An acquisition module 71 is used to acquire target environmental parameters, real-time environmental parameters and control parameters of the nanofluid temperature control system; wherein the environmental parameters include temperature and humidity, and the control parameters include the flow rate of the nanofluid heat exchanger;

[0209] A calculation module 72, for determining a rate of change of the environmental parameters of the previous control cycle based on the duration of the previous control cycle, the real-time environmental parameters at the beginning, and the real-time environmental parameters at the end;

[0210] The control module 73 is used to determine the length of the current control cycle based on the rate of change of the environmental parameters of the previous control cycle, and to determine the control parameters of the next control cycle based on the target environmental parameters and the real-time environmental parameters at the end of the current control cycle.

[0211] In a possible implementation, the control module 73 is specifically configured to:

[0212] Based on the target parameters and the rate of change of the environmental parameters in the previous control cycle, predict the time required for the real-time environmental parameters to reach the target environmental parameters;

[0213] The length of the current control cycle is determined based on the adjustment time and the preset number of adjustments.

[0214] In a possible implementation, the control module 73 is specifically configured to:

[0215] Based on the rate of change of environmental parameters in the previous control cycle, predict the time required for the real-time environmental parameters to reach the target environmental parameters;

[0216] Based on the ratio of the adjustment time to the preset adjustment time, the preset control period length corresponding to the preset adjustment time is adjusted proportionally to obtain the length of the current control period.

[0217] In a possible implementation, the control module 73 is specifically configured to:

[0218] Determine the environmental parameter fluctuation rate based on the prediction model and the historical fluctuation data of the environmental parameters;

[0219] Based on the environmental parameter fluctuation rate and the environmental parameter change rate of the previous control cycle, the temperature adjustment time required for the real-time environmental parameters to reach the target environmental parameters is predicted.

[0220] In a possible implementation, each control cycle includes a plurality of sampling moments, and a sampling interval is between every two sampling moments; the control module 73 is further used for:

[0221] Based on the real-time environmental parameters at multiple sampling moments in the previous control cycle, determine the environmental parameter change rate of each sampling interval in the previous control cycle, and use the sampling moment when the environmental parameter change rate changes as the change moment;

[0222] Determine the response time of the control unit, the pump and the valve based on the difference between the start time and the change time of the previous control cycle;

[0223] Adjust the length of the current control cycle based on the response time.

[0224] In a possible implementation, the control module 73 is further configured to:

[0225] If there is no previous control cycle, the difference between the real-time environmental parameter and the target environmental parameter is calculated;

[0226] If the difference is greater than a first preset threshold, determining an initial flow rate of the nanofluid heat exchanger based on the difference;

[0227] The duration of the initial control cycle is determined based on the rate of change of the environmental parameter corresponding to the initial flow rate.

[0228] In a possible implementation, the control module 73 is specifically configured to:

[0229] If the difference between the real-time environmental parameters at the end of the current control cycle and the real-time environmental parameters at the beginning of the current control cycle is greater than a second preset threshold, the control parameters of the next control cycle are determined based on the real-time environmental parameters at the end of the current control cycle.

[0230] The embodiment of the present invention determines the length of the current control cycle by the rate of change of the environmental parameters of the previous control cycle, thereby changing the time when the current control cycle ends, that is, changing the time when the control parameters of the next control cycle are determined. When the temperature and humidity control speeds of the nanofluid temperature control system are fast, the control cycle can be shortened accordingly, making full use of the advantages of the high efficiency and fast response of the nanofluid heat exchanger, and optimizing the overall response speed and efficiency of the temperature control system.

[0231] Figure 8 Schematic diagram of a temperature control device provided by an embodiment of the present invention. Figure 8 As shown, the temperature control device 8 of this embodiment includes: a processor 80, a memory 81, and a computer program 82 stored in the memory 81 and executable on the processor 80. When the processor 80 executes the computer program 82, the steps in the above-mentioned control method embodiments of the nanofluid temperature control system are implemented, for example Figure 3 Alternatively, when the processor 80 executes the computer program 82, the functions of each module / unit in the above-mentioned device embodiments are realized, for example Figure 7 Functions of modules / units 71 to 73 are shown.

[0232] Exemplarily, the computer program 82 may be divided into one or more modules / units, which are stored in the memory 81 and executed by the processor 80 to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, which are used to describe the execution process of the computer program 82 in the temperature control device 8. For example, the computer program 82 may be divided into Figure 7 Modules / units 71 to 73 are shown.

[0233] The temperature control device 8 may include, but is not limited to, a processor 80 and a memory 81. Those skilled in the art will appreciate that Figure 8 It is only an example of the temperature control device 8 and does not constitute a limitation of the temperature control device 8. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the temperature control device may also include input and output devices, network access devices, buses, etc.

[0234] The processor 80 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0235] The memory 81 may be an internal storage unit of the temperature control device 8, such as a hard disk or memory of the temperature control device 8. The memory 81 may also be an external storage device of the temperature control device 8, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the temperature control device 8. Further, the memory 81 may also include both an internal storage unit and an external storage device of the temperature control device 8. The memory 81 is used to store the computer program and other programs and data required by the temperature control device. The memory 81 may also be used to temporarily store data that has been output or is to be output.

[0236] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0237] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0238] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0239] In the embodiments provided by the present invention, it should be understood that the disclosed devices / terminals and methods can be implemented in other ways. For example, the device / terminal embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0240] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0241] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0242] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the control method embodiments of the above-mentioned nanofluid temperature control system can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device that can carry the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practices in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practices, computer-readable media does not include electrical carrier signals and telecommunication signals.

[0243] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A control method for a nanofluid temperature control system, characterized in that: include: Obtaining target environmental parameters, real-time environmental parameters and control parameters of the nanofluid temperature control system; wherein the environmental parameters include temperature and humidity, and the control parameters include the flow rate of the nanofluid heat exchanger; Determine the rate of change of the environmental parameters of the previous control cycle based on the duration of the previous control cycle, the real-time environmental parameters at the beginning, and the real-time environmental parameters at the end; The length of the current control cycle is determined based on the rate of change of the environmental parameters of the previous control cycle, and the control parameters of the next control cycle are determined based on the target environmental parameters and the real-time environmental parameters at the end of the current control cycle.

2. The control method of the nanofluid temperature control system according to claim 1, characterized in that: The determining the length of the current control cycle based on the rate of change of the environmental parameters of the previous control cycle includes: Based on the target parameter and the rate of change of the environmental parameter in the previous control cycle, predict the adjustment time for the real-time environmental parameter to reach the target environmental parameter; The length of the current control cycle is determined based on the adjustment time and the preset number of adjustments.

3. The control method of the nanofluid temperature control system according to claim 1, characterized in that: The determining the length of the current control cycle based on the rate of change of the environmental parameters of the previous control cycle includes: Based on the rate of change of the environmental parameters in the previous control cycle, predict the adjustment time for the real-time environmental parameters to reach the target environmental parameters; Based on the ratio of the adjustment time to the preset adjustment time, the preset control period length corresponding to the preset adjustment time is adjusted in proportion to obtain the length of the current control period.

4. The control method of the nanofluid temperature control system according to claim 1 or 2, characterized in that: Before predicting the adjustment time for the real-time environmental parameter to reach the target environmental parameter based on the target parameter and the environmental parameter change rate of the previous control cycle, the method further includes: Determine the environmental parameter fluctuation rate based on the prediction model and the historical fluctuation data of the environmental parameters; Accordingly, the step of predicting the adjustment time required for the real-time environmental parameter to reach the target environmental parameter based on the target parameter and the rate of change of the environmental parameter in the previous control cycle includes: Based on the environmental parameter fluctuation rate and the environmental parameter change rate of the previous control cycle, the temperature adjustment time required for the real-time environmental parameter to reach the target environmental parameter is predicted.

5. The control method of the nanofluid temperature control system according to claim 1, characterized in that: Each control cycle includes a plurality of sampling moments, and a sampling interval is between each two sampling moments; the determining the length of the current control cycle based on the rate of change of the environmental parameters of the previous control cycle also includes: Based on the real-time environmental parameters at multiple sampling moments in the previous control cycle, determine the environmental parameter change rate of each sampling interval in the previous control cycle, and use the sampling moment when the environmental parameter change rate changes as the change moment; Determining the response time of the control unit, the pump and the valve based on the difference between the start time of the previous control cycle and the change time; The length of the current control cycle is adjusted based on the response time.

6. The control method of the nanofluid temperature control system according to claim 1, characterized in that: Also includes: If there is no previous control cycle, then calculating the difference between the real-time environmental parameter and the target environmental parameter; If the difference is greater than a first preset threshold, determining an initial flow rate of the nanofluid heat exchanger based on the difference; The duration of the initial control cycle is determined based on the rate of change of the environmental parameter corresponding to the initial flow rate.

7. The control method of the nanofluid temperature control system according to claim 1, characterized in that: The step of determining the control parameters of the next control cycle based on the real-time environmental parameters at the end of the current control cycle includes: If the difference between the real-time environmental parameters at the end of the current control cycle and the real-time environmental parameters at the beginning of the current control cycle is greater than a second preset threshold, the control parameters of the next control cycle are determined based on the real-time environmental parameters at the end of the current control cycle.

8. A control device for a nanofluid temperature control system, characterized in that: include: An acquisition module, used to acquire target environmental parameters, real-time environmental parameters and control parameters of the nanofluid temperature control system; wherein the environmental parameters include temperature and humidity, and the control parameters include the flow rate of the nanofluid heat exchanger; A calculation module, for determining a rate of change of the environmental parameters of the previous control cycle based on the duration of the previous control cycle, the real-time environmental parameters at the beginning, and the real-time environmental parameters at the end; The control module is used to determine the length of the current control cycle based on the rate of change of the environmental parameters of the previous control cycle, and to determine the control parameters of the next control cycle based on the target environmental parameters and the real-time environmental parameters at the end of the current control cycle.

9. A temperature control device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method as claimed in any one of claims 1 to 7 are implemented.

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