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

Abstract

The application provides a kind of nanofluid temperature control system control method, device and temperature control equipment.The method comprises: obtaining target environmental parameter, real-time environmental parameter and nanofluid temperature control system control parameter;Wherein, environmental parameter includes temperature and humidity, control parameter includes nanofluid heat exchanger flow rate;Based on the length of last control cycle, real-time environmental parameter at the beginning and real-time environmental parameter at the end, determine the environmental parameter change rate of last control cycle;Based on the environmental parameter change rate of last control cycle, determine the length of current control cycle, to target environmental parameter and based on the real-time environmental parameter at the end of current control cycle, determine the control parameter of next control cycle.The application can make full use of the advantages of nanofluid heat exchanger, such as high efficiency and fast response, to optimize the response speed and efficiency of the whole temperature control system.

Description

TECHNICAL FIELD

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

[0002] Nanofluid technology has shown great potential in heat conduction and cooling in recent years. Nanofluid is a fluid formed by dispersing nanoscale particles (such as metals, oxides) in a base fluid (such as water, ethylene glycol), which has high thermal conductivity. Nanofluid is significantly superior to traditional fluid in heat transfer performance, and has the following advantages: high thermal conductivity: the high thermal conductivity of nanoscale particles greatly improves the overall thermal conductivity of nanofluid, enhancing the efficiency of heat transfer.

[0003] Based on the intelligent energy-saving household air conditioning system of nanofluid, the high-efficiency heat transfer characteristics of the nanofluid heat exchanger can realize an efficient, energy-saving and environmentally friendly household air conditioning solution. However, the current temperature control system for nanofluid still uses the control method of traditional temperature control system, which is difficult to fully exert the advantage of high heat transfer efficiency of nanofluid heat exchanger. SUMMARY

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

[0005] In a first aspect, the embodiments of the present application provide a control method of a nanofluid temperature control system, comprising:

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

[0007] Based on the length of the last control cycle, the real-time environment parameters at the beginning and the end, the environment parameter change rate of the last control cycle is determined;

[0008] Based on the environment parameter change rate of the last control cycle, the length of the current control cycle is determined, and based on the target environment parameters and the real-time environment parameters at the end of the current control cycle, the control parameters of the next control cycle are determined.

[0009] In a possible implementation manner, based on the environment parameter change rate of the last control cycle, the length of the current control cycle is determined, comprising:

[0010] Based on the target environment parameters and the environment parameter change rate of the last control cycle, the adjustment time for the real-time environment parameters to reach the target environment parameters is predicted;

[0011] Determine the length of the current control period based on the adjustment time and a preset adjustment number.

[0012] In a possible implementation, the length of the current control period is determined based on the change rate of the environmental parameter in the previous control period, including:

[0013] Predict the adjustment time for the real-time environmental parameter to reach the target environmental parameter based on the change rate of the environmental parameter in the previous control period.

[0014] Proportionally adjust the preset control period length corresponding to the preset adjustment time based on the ratio of the adjustment time and the preset adjustment time, 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 environmental parameter and the change rate of the environmental parameter in the previous control period, the method further includes:

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

[0017] Correspondingly, the method of predicting the adjustment time for the real-time environmental parameter to reach the target environmental parameter based on the target environmental parameter and the change rate of the environmental parameter in the previous control period includes:

[0018] Predict the adjustment time for the real-time environmental parameter to reach the target environmental parameter based on the fluctuation rate of the environmental parameter and the change rate of the environmental parameter in the previous control period.

[0019] In a possible implementation, each control period includes a plurality of sampling time points, and each sampling interval is between two sampling time points; the length of the current control period is determined based on the change rate of the environmental parameter in the previous control period, and the method further includes:

[0020] Determine the change rate of the environmental parameter in each sampling interval in the previous control period based on the real-time environmental parameter at the plurality of sampling time points in the previous control period, and take the sampling time point at which the change rate of the environmental parameter changes as a change time point.

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

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

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

[0024] If there is no previous control period, calculate the difference between the real-time environmental parameter and the target environmental parameter.

[0025] If the difference is greater than the first preset threshold, the initial flow rate of the nanofluid heat exchanger is determined based on the difference.

[0026] The initial control period length is determined based on the change rate of the environment parameter corresponding to the initial flow rate.

[0027] In a possible implementation, the control parameter of the next control period is determined based on the real-time environment parameter at the end of the current control period, including:

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

[0029] In a second aspect, an embodiment of the present application provides a control device of a nanofluid temperature regulating system, including:

[0030] An acquisition module is configured to acquire a target environment parameter, a real-time environment parameter, and a control parameter of the nanofluid temperature regulating system, wherein the environment parameter includes temperature and humidity, and the control parameter includes a flow rate of a nanofluid heat exchanger.

[0031] A calculation module is configured to determine a change rate of an environment parameter of a previous control period based on a length of the previous control period, a real-time environment parameter at the beginning of the previous control period, and a real-time environment parameter at the end of the previous control period.

[0032] A control module is configured to determine a length of a current control period based on the change rate of the environment parameter of the previous control period, and determine a control parameter of a next control period based on the target environment parameter and a real-time environment parameter at the end of the current control period.

[0033] In a third aspect, an embodiment of the present application provides a temperature regulating device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the method in the first aspect or any possible implementation of the first aspect.

[0034] In a fourth aspect, an embodiment of the present application provides a computer readable storage medium, which stores a computer program, and the computer program is executable on a processor to implement the steps of the method in the first aspect or any possible implementation of the first aspect.

[0035] The embodiment of the present application provides a control method and device of a nanofluid temperature regulating system and a temperature regulating equipment, the length of a current control period is determined through the change rate of environmental parameters in a previous control period, so that the time when the current control period ends is changed, that is, the time when the control parameter of a next control period is determined, when the temperature regulating and humidifying speed of the nanofluid temperature regulating system is high, the control period can be shortened correspondingly, the advantages of high efficiency and quick response of the nanofluid heat exchanger are fully utilized, and the response speed and efficiency of the whole temperature regulating system are optimized. BRIEF DESCRIPTION OF DRAWINGS

[0036] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without any creative effort on the basis of these drawings.

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

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

[0039] Figure 3 is an implementation flowchart of the control method of the nanofluid temperature regulating system provided by an embodiment of the present application;

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

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

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

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

[0044] Figure 8 is a schematic diagram of the temperature regulating equipment provided by an embodiment of the present application. DETAILED DESCRIPTION

[0045] In the following description, for purposes of explanation and not limitation, specific details are set forth such as particular architectures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application can be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known methods, devices, circuits, and

[0046] In order to make the objects, technical solutions and advantages of the present application clearer, the following will be described by specific embodiments in conjunction with the accompanying drawings.

[0047] Figure 1 The application scenario diagram of the control method of the nanofluid temperature adjustment system provided by the embodiments of the present application is shown in FIG. 1. Figure 1 As shown in FIG. 1, the nanofluid temperature adjustment system includes the following main components: a nanofluid heat exchanger, an intelligent control unit, a fluid delivery unit, an environment detection unit, and a user interface unit. The system performs efficient heat exchange through the nanofluid heat exchanger 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] Environment detection unit: The environment 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 accurate control and optimize the air conditioning effect.

[0049] Intelligent control unit: The sensors monitor the temperature, humidity, flow rate, and other parameters of the system in real time, and the data is sent to the control unit. The control unit generates control signals according to the preset control logic to adjust the working state of the heat exchanger, pump, and valve to ensure stable and efficient operation of the system.

[0050] Fluid delivery unit: The pump and valve control the flow of nanofluid, and the flow and circulation of nanofluid are achieved through the pipeline.

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

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

[0053] Nanofluid refers to a suspension 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 nanoscale particles, nanofluid exhibits excellent heat transfer performance.

[0054] The nanofluid is pumped into the micro-channel structure of the heat exchanger through the pipeline. The nanofluid is in full contact with the heat source or the cold source through the micro-channel structure, and high-efficiency heat exchange is performed. Inside the heat exchanger, the nanofluid absorbs or releases heat through conduction and convection, and quickly adjusts the temperature. Through the fluid conveying system, the nanofluid is returned to the circulating system to complete a heat exchange cycle, and the continuous high-efficiency heat exchange is ensured. The nanofluid heat exchanger utilizes the high thermal conductivity and micro-convection effect of the nanofluid, and realizes high-efficiency heat exchange through the micro-channel structure.

[0055] Referring to Figure 3 , a flow chart for implementing the control method of the nanofluid temperature regulating system provided by the embodiment of the present application is shown, and the details are as follows:

[0056] In step 301, the target environment parameters, real-time environment parameters and control parameters of the nanofluid temperature regulating system are obtained; wherein the environment parameters include temperature and humidity, and the control parameters include the flow rate of the nanofluid heat exchanger.

[0057] In this embodiment, as shown in Figure 4 , the nanofluid temperature regulating system monitors the temperature of the system in real time through the temperature sensor, and sends the temperature data to the controller. The humidity of the system is monitored in real time through the humidity sensor, and the humidity data is sent to the controller. The flow rate of the nanofluid in the system is monitored in real time through the flow rate sensor, and the flow rate data is sent to the controller.

[0058] In the control process, the user can set the target temperature or the target humidity alone, or can set the target temperature and the target humidity at the same time. The controller generates a control signal based on the difference between the real-time environment temperature and the target temperature, and / or the difference between the real-time environment humidity and the target humidity, controls the heat exchanger, the pump and the valve of the nanofluid temperature regulating system, adjusts the running state of the heat exchanger, optimizes the heat exchange process, adjusts the start and stop of the pump, ensures the flow and circulation of the nanofluid in the system, adjusts the on-off state of the valve, and controls the fluid flow path.

[0059] As shown in Figure 5 , in some nanofluid temperature regulating systems, two or more nanofluid heat exchangers can also be included. At this time, the temperature sensor, the humidity sensor and the flow rate sensor monitor the temperature, the humidity and the flow rate of the system in real time, and send the data to the controller. The controller receives the data from the sensors, can allocate the workload of each nanofluid heat exchanger according to the preset logic, for example, each heat exchanger is equally divided into refrigerating capacity, or the refrigerating capacity distribution mode with the highest overall efficiency of the system is adopted. After processing the sensor data, a control signal is generated and sent to the corresponding heat exchanger, pump and valve, the running state of each heat exchanger, pump and valve is adjusted, the heat exchange process is optimized, and the flow and circulation of the nanofluid are ensured.

[0060] Step 302: Determine the environmental parameter change rate of the previous control period based on the duration of the previous control period, the real-time environmental parameter at the beginning, and the real-time environmental parameter 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] Micro-channel structure: Nano heat exchangers are usually designed with micro-channel structures, and the size of these channels is in microns or nanometers, which significantly increases the contact area of the fluid and the heat exchange efficiency.

[0065] Nanofluid: Use of fluids containing nanoparticles with high thermal conductivity, further enhancing heat conduction effects.

[0066] Material selection: Nano heat exchangers are often made of high thermal conductivity materials (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 scale channels, with relatively small contact area, limiting the heat exchange efficiency.

[0069] Traditional fluid: Use of conventional cooling liquids (such as water, glycol, etc.), which have relatively low thermal conductivity, limiting the overall heat exchange effect.

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

[0071] 2. Differences in operation and control methods

[0072] Operation mode:

[0073] Nano heat exchanger:

[0074] High-efficiency heat transfer: Due to the high thermal conductivity of nanofluids and the design of micro-channel structures, nano heat exchangers can complete a large amount of heat exchange in a short period of time.

[0075] Fast response: Nano heat exchangers can quickly respond to temperature changes and quickly adjust system operating conditions 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 have a slow response speed when facing temperature changes, requiring a long time to reach the set temperature.

[0079] Control method:

[0080] Nanometer heat exchanger:

[0081] Intelligent control: Through real-time monitoring of temperature, humidity and flow rate data by sensors, the intelligent control unit can quickly adjust the flow rate of the pump and the on-off state of the valve to optimize the heat exchange process.

[0082] Shortened control cycle: Due to the high efficiency of the nanometer heat exchanger, the control cycle can be shortened. For example, if the traditional system adjusts every 10 minutes, the nanometer heat exchanger can adjust every 5 minutes or even shorter to maintain optimal operating conditions.

[0083] Control cycle refers to the time interval at which the system performs control adjustments. Due to the influence of other factors, the rate of change of environmental parameters during the operation of the temperature adjustment system is not stable, and continuous monitoring should be carried out, and the control parameters should be adjusted based on the monitoring results. In the intelligent energy-saving household air conditioning system based on nanofluids, the determination of the control cycle needs to consider the following factors:

[0084] 1. Sensor data update frequency:

[0085] Data acquisition frequency: The higher the update frequency of temperature, humidity and flow rate data collected by sensors in real time, the faster the system responds to environmental changes.

[0086] 2. Nanofluid heat exchange efficiency:

[0087] High heat exchange efficiency: The high thermal conductivity and micro-channel structure of nanofluids allow for fast heat exchange, enabling the system to reach the set temperature in a short time and allowing for 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, allowing for a shorter control cycle.

[0090] 4. Optimization of control algorithm:

[0091] Prediction model: Through a prediction model, temperature changes can be predicted in advance, allowing for early adjustments and reducing unnecessary frequent adjustments.

[0092] Therefore, the length of the previous control period, the real-time environmental parameter at the beginning, and the real-time environmental parameter at the end can be used to determine the environmental parameter change rate of the previous control period, i.e., the adjustment rate of the nanofluid temperature control system to the environmental temperature and / or the adjustment rate to the environmental humidity in the previous control period, so as to dynamically adjust the length of the control period according to the actual working efficiency of the nanofluid temperature control system, and effectively improve the working efficiency of the nanofluid heat exchanger.

[0093] In step 303, the length of the current control period is determined based on the environmental parameter change rate of the previous control period, and the control parameters of the next control period are determined based on the target environmental parameter and the real-time environmental parameter at the end of the current control period.

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

[0095] Figure 6 The interaction process between the parts of the nanofluid temperature control system is shown, which specifically includes:

[0096] 1. Data acquisition 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 signal: The controller executes the preset control logic according to the received data and generates a control signal.

[0103] 3. Control signal sending stage:

[0104] Control the heat exchanger: The controller adjusts the operating state of the heat exchanger according to the processing result to optimize the heat exchange process.

[0105] Control pump start / stop: The controller adjusts the start and stop of the pump, ensuring the flow and circulation of nanofluid in the system.

[0106] Control valve open / close: The controller adjusts the open / close state of the valve, controlling the fluid flow path.

[0107] 4. State feedback stage:

[0108] Heat exchanger returns state data: The heat exchanger feeds back its running state data to the controller, ensuring the stability and efficiency of the heat exchange process.

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

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

[0111] The embodiment of the present application determines the length of the current control period by the change rate of the environmental parameters in the previous control period, thereby changing the time when the current control period ends, i.e. changing the time when the control parameters of the next control period are determined. When the temperature and humidity adjusting speed of the nanofluid temperature adjusting system is fast, the control period can be shortened accordingly, fully utilizing the advantages of high efficiency and fast response of the nanofluid heat exchanger, and optimizing the response speed and efficiency of the overall temperature adjusting system.

[0112] In one possible implementation, the length of the current control period is determined based on the change rate of the environmental parameters in the previous control period, comprising:

[0113] Based on the target environmental parameters and the change rate of the environmental parameters in the previous control period, the adjustment time for the real-time environmental parameters to reach the target environmental parameters is predicted;

[0114] Based on the adjustment time and the preset number of adjustments, the length of the current control period is determined.

[0115] In this embodiment, an intelligent energy-saving household air conditioning system based on nanofluid is assumed, with the following specific parameters:

[0116] Target set temperature: 24°C

[0117] Current indoor temperature: 28°C

[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 period of traditional heat exchanger:

[0122] For a conventional heat exchanger, assuming it responds slowly, it takes 30 minutes for the temperature to drop from 28°C to 24°C. Therefore, it can be set to adjust 3 times during the entire cooling process, and the control period is set to 10 minutes, i.e. adjusting once every 10 minutes.

[0123] Control period of nanofluid heat exchanger:

[0124] Due to the high efficiency of the nanofluid heat exchanger, it only takes 15 minutes for the temperature to drop from 28°C to 24°C. Therefore, in the case of also setting 3 adjustments during the entire cooling process, the control period can be greatly shortened to 5 minutes, or even shorter.

[0125] In one possible implementation, the length of the current control period is determined based on the change rate of the environmental parameter in the previous control period, including:

[0126] Based on the change rate of the environmental parameter in the previous control period, the adjustment time for the real-time environmental parameter to reach the target environmental parameter is predicted;

[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 by the same proportion to obtain the length of the current control period.

[0128] In this embodiment, based on the previous embodiment, assuming that the temperature response of the conventional heat exchanger to the target temperature is 30 minutes, the corresponding control period is 10 minutes, and when the temperature response of the nanofluid heat exchanger is 15 minutes, the control period is correspondingly shortened to 10*(15 / 30)=5 minutes.

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

[0130] Table 1

[0131]

[0132] As can be seen, by shortening the control period, the nanofluid heat exchanger system can respond more quickly to environmental changes and maintain 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.

[0133] In one possible implementation, before predicting the adjustment time for the real-time environmental parameter to reach the target environmental parameter based on the target environmental parameter and the change rate of the environmental parameter in the previous control period, it further includes:

[0134] Based on the prediction model and the historical fluctuation data of the environmental parameter, the fluctuation rate of the environmental parameter is determined;

[0135] Correspondingly, based on the target environment parameter and the environment parameter change rate of the previous control period, the adjustment time for the real-time environment parameter to reach the target environment parameter is predicted, comprising:

[0136] Based on the environment parameter fluctuation rate and the environment parameter change rate of the previous control period, the temperature adjustment time for the real-time environment parameter to reach the target environment parameter is predicted.

[0137] In this embodiment, in addition to the influence of the temperature adjustment system, the environment parameter is also affected by other factors, such as personnel activities, external cold / hot / humid air entering the space where the temperature adjustment system is located, which will cause the environment parameter of the space where the temperature adjustment system is located to change. The environment parameter fluctuation rate refers to the fluctuation of the environment parameter under the influence of other factors.

[0138] Based on this, the temperature adjustment time for the real-time environment parameter to reach the target environment parameter is accurately estimated by considering the environment parameter fluctuation rate and the environment parameter change rate of the previous control period, so as to adjust the control period length based on the temperature adjustment time, and realize accurate control of the environment parameter, which can quickly respond to temperature changes and prolong the control period in a stable state to save energy consumption.

[0139] In a possible implementation, each control period includes multiple sampling times, and each sampling interval is between two sampling times; based on the environment parameter change rate of the previous control period, the length of the current control period is determined, further comprising:

[0140] Based on the real-time environment parameters at the multiple sampling times in the previous control period, the environment parameter change rate of each sampling interval in the previous control period is determined, and the sampling time at which the environment parameter change rate changes is taken as the change time;

[0141] The response time of the control unit, the pump and the valve is determined based on the difference between the start time of the previous control period and the change time;

[0142] The length of the current control period is adjusted based on the response time.

[0143] In this embodiment, the start time of the previous control period is the time when the adjustment parameter is started, the sampling time at which the environment parameter change rate changes is the time when the adjustment parameter takes effect, and the difference between the two is the response time of the control unit, the pump and the valve to the adjustment of the control parameter. The faster the response speed of the control unit, the pump and the valve, the faster the overall adjustment speed of the system, and the control period can be shortened.

[0144] When the response time is longer, the response speed of the control unit, the pump and the valve is slower, and the actual control period = the response time + the control period length, so in order to ensure the adjustment effect of the control parameter, the actual control period length = the length of the current control period determined based on the change rate of the environmental parameter in the last control period - the response time.

[0145] In a possible implementation, the method further includes:

[0146] If there is no last control period, calculating a difference between the real-time environmental parameter and the target environmental parameter;

[0147] If the difference is greater than a first preset threshold, determining an initial flow rate of the nanofluid heat exchanger based on the difference;

[0148] Determining an initial control period length based on an environmental parameter change rate corresponding to the initial flow rate.

[0149] In the embodiment, the first preset threshold is used as a starting condition of the nanofluid heat exchanger, and when the condition is met, the nanofluid heat exchanger is started, and the initial flow rate and the initial control period length of the nanofluid heat exchanger are determined based on the difference. For example:

[0150] 1. Temperature adjustment control logic:

[0151] Starting condition: when Troom > Tset + ΔT (for example, ΔT = 1 °C).

[0152] Parameter setting:

[0153] Fluid flow rate (Vflow): The flow rate is set according to the temperature difference (ΔTactual = Troom - Tset), for example, Vflow = k1 * ΔTactual + Vbaseline, where k1 is a flow rate adjustment coefficient, and Vbaseline = 1 m / s, and then Vflow = 0.1 * 4 °C + 1 m / s = 1.4 m / s.

[0154] Duration (tlast): It is set according to the temperature change rate and the current temperature difference, and the formula is tlast = ΔTactual / Rcooling, where Rcooling is the cooling rate per unit time.

[0155] 2. Humidity adjustment control logic:

[0156] Starting condition: when Hroom > Hset + ΔH (for example, ΔH = 5%), the dehumidification mode is started.

[0157] Parameter setting:

[0158] Fluid flow rate (Vflow): The flow rate is set according to the humidity difference (ΔHactual = Hroom - Hset), for example, Vflow = k2 * ΔHactual + Vbaseline.

[0159] Duration of the time period (t duration): According to the humidity change rate and the current humidity difference setting, the formula t duration = AH actual / R dehumidification, R dehumidification is the dehumidification rate per unit time.

[0160] When the initial control period ends, the control period length and the control parameters can be dynamically adjusted based on the environmental changes and the system state on the basis of the initial control period.

[0161] In a possible implementation, the control parameters of the next control period are determined based on the real-time environmental parameters at the end of the current control period, including:

[0162] If the difference between the real-time environmental parameters at the end of the current control period and the real-time environmental parameters at the beginning of the current control period is greater than a second preset threshold, the control parameters of the next control period are determined based on the real-time environmental parameters at the end of the current control period.

[0163] In this embodiment, the working state of the temperature regulation system can be divided into two stages. In the initial cooling stage, the control period is relatively short, for example, 5 minutes; after reaching the target temperature, the system enters the maintenance mode, and the control period can be extended to 10 minutes. The steps of determining the control period and the control parameters can be as follows:

[0164] 1. Initial monitoring:

[0165] The temperature sensor collects the current indoor temperature as 28°C and sends the data to the controller.

[0166] 2. First adjustment:

[0167] The controller processes the temperature data, generates a control signal, starts the pump and the valve, increases the flow rate of the nanofluid, and adjusts the flow path.

[0168] 3. Real-time monitoring and adjustment:

[0169] The sensor updates the data every second, and the controller checks the current temperature every 5 seconds.

[0170] Suppose that the temperature change is less than 0.5°C, that is, the second preset threshold, within 5 seconds, the controller continues to maintain the current state.

[0171] If the temperature change exceeds 0.5°C within 5 seconds, the controller adjusts again according to the new temperature data and continues to optimize the system operation.

[0172] 4. Reaching the set temperature:

[0173] After 15 minutes of efficient heat exchange, the indoor temperature drops to 24°C, and the controller enters the maintenance mode.

[0174] In the maintenance mode, the control cycle can be extended to 10 minutes, i.e. checking temperature changes every 10 minutes, ensuring that the temperature stabilizes at 24°C.

[0175] In one specific embodiment, assuming the indoor temperature rises, the user wants to reduce the indoor temperature to the set comfortable temperature.

[0176] Specific working process:

[0177] 1. Environmental detection phase:

[0178] The temperature sensor monitors that the indoor temperature rises to 28°C (higher than the set 24°C).

[0179] The humidity sensor monitors that the indoor humidity is 60% (the set humidity is 50%).

[0180] The flow rate sensor monitors that the current nanofluid flow rate is normal.

[0181] 2. Data transmission and processing:

[0182] The temperature sensor sends the temperature data of 28°C to the controller.

[0183] The humidity sensor sends the humidity data of 60% to the controller.

[0184] The flow rate sensor sends the flow rate data to the controller.

[0185] 3. Controller decision:

[0186] The controller receives temperature, humidity and flow rate data.

[0187] 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 needs to start the cooling and dehumidification process.

[0188] 4. Control signal sending:

[0189] Control the heat exchanger: the controller sends a signal to the nanofluid heat exchanger to adjust its working state, enhance the heat exchange efficiency to accelerate the cooling.

[0190] Control 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.

[0191] Control the valve: the controller sends a signal to open the corresponding valve to adjust the flow path of the nanofluid, so that it passes through the area that needs to be cooled first.

[0192] 5. State feedback and adjustment:

[0193] The nanofluid heat exchanger adjusts according to the control signal and feeds back the current operating state data (such as the temperature in the heat exchanger being reduced to 20°C) to the controller.

[0194] After the pump is started, the increased flow data is fed back to the controller to ensure smooth circulation of the fluid.

[0195] After the valve is opened, its on-off state and flow data are fed back to the controller.

[0196] 6. Continuous monitoring and optimization:

[0197] The controller continuously monitors sensor data and adjusts the operating state of the heat exchanger, pump and valve in real time.

[0198] 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.

[0199] Through the above working process, the system achieves the following goals:

[0200] Efficient cooling: The nanofluid heat exchanger quickly reduces the indoor temperature to the set value by optimizing the heat exchange efficiency.

[0201] Precise control: The controller dynamically adjusts the operating state of each component according to real-time data to ensure efficient operation of the system.

[0202] Energy saving and environmental protection: After reaching the set temperature, the system automatically reduces power consumption to maintain a comfortable environment while saving energy.

[0203] It should be understood that the size of the serial number of each step in the above embodiment does not mean the order of execution, and 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 application.

[0204] The following is a device embodiment of the present application. For details not described in detail, please refer to the corresponding method embodiments described above.

[0205] Figure 7 The structure of the control device of the nanofluid temperature regulating system provided by the embodiment of the present application is shown. For ease of illustration, only the parts related to the embodiment of the present application are shown, and the details are as follows:

[0206] As shown in Figure 7 The control device 7 of the nanofluid temperature regulating system comprises:

[0207] The acquisition module 71 is configured to acquire target environment parameters, real-time environment parameters and control parameters of the nanofluid temperature regulating system; wherein the environment parameters include temperature and humidity, and the control parameters include the flow rate of the nanofluid heat exchanger;

[0208] The computing module 72 is configured to determine an environmental parameter change rate of the previous control period based on a time length of the previous control period, a real-time environmental parameter at the beginning and a real-time environmental parameter at the end.

[0209] The control module 73 is configured to determine a length of the current control period based on the environmental parameter change rate of the previous control period, and determine a control parameter of the next control period based on the target environmental parameter and a real-time environmental parameter at the end of the current control period.

[0210] In a possible implementation, the control module 73 is specifically configured to:

[0211] predict an adjustment time for the real-time environmental parameter to reach the target environmental parameter based on the target environmental parameter and the environmental parameter change rate of the previous control period;

[0212] determine the length of the current control period based on the adjustment time and a preset adjustment number.

[0213] In a possible implementation, the control module 73 is specifically configured to:

[0214] predict an adjustment time for the real-time environmental parameter to reach the target environmental parameter based on the environmental parameter change rate of the previous control period;

[0215] perform equal proportion adjustment on a preset control period length corresponding to a preset adjustment time based on a ratio of the adjustment time to the preset adjustment time, to obtain the length of the current control period.

[0216] In a possible implementation, the control module 73 is specifically configured to:

[0217] determine an environmental parameter fluctuation rate based on the prediction model and historical fluctuation data of the environmental parameter;

[0218] predict an adjustment time for the real-time environmental parameter to reach the target environmental parameter based on the environmental parameter fluctuation rate and the environmental parameter change rate of the previous control period.

[0219] In a possible implementation, each control period includes a plurality of sampling time points, and each sampling interval is between two sampling time points; the control module 73 is further configured to:

[0220] determine an environmental parameter change rate of each sampling interval in the previous control period based on real-time environmental parameters at the plurality of sampling time points in the previous control period, and determine a change time point as a sampling time point at which the environmental parameter change rate changes;

[0221] determine a response time of the control unit, the pump and the valve based on a difference between the beginning time point of the previous control period and the change time point.

[0222] The length of the current control period is adjusted based on the response.

[0223] In a possible implementation, the control module 73 is further configured to:

[0224] If there is no previous control period, calculate the difference between the real-time environment parameter and the target environment parameter;

[0225] If the difference is greater than a first preset threshold, determine the initial flow rate of the nanofluid heat exchanger based on the difference;

[0226] Determine the initial control period length based on the environment parameter change rate corresponding to the initial flow rate.

[0227] In a possible implementation, the control module 73 is specifically configured to:

[0228] If the difference between the real-time environment parameter at the end of the current control period and the real-time environment parameter at the beginning of the current control period is greater than a second preset threshold, determine the control parameter of the next control period based on the real-time environment parameter at the end of the current control period.

[0229] The embodiment of the present application determines the length of the current control period based on the environment parameter change rate of the previous control period, thereby changing the time at which the current control period ends, i.e., changing the time at which the control parameter of the next control period is determined. When the temperature and humidity adjusting speed of the nanofluid temperature adjusting system is fast, the control period can be correspondingly shortened, the advantages of high efficiency and fast response of the nanofluid heat exchanger are fully utilized, and the overall response speed and efficiency of the temperature adjusting system are optimized.

[0230] Figure 8 is a schematic diagram of the temperature adjusting device provided by the embodiment of the present application. As shown in Figure 8 the temperature adjusting 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. The processor 80 implements the steps in the control method embodiments of the various nanofluid temperature adjusting systems described above when executing the computer program 82, such as Figure 3 steps 301 to 303 shown in the figure. Alternatively, the processor 80 implements the functions of the modules / units in the various device embodiments described above when executing the computer program 82, such as Figure 7 the functions of the modules / units 71 to 73 shown in the figure.

[0231] For example, the computer program 82 can be divided into one or more modules / units stored in the memory 81 and executed by the processor 80 to accomplish the present application. The one or more modules / units can be a series of computer program instruction segments capable of accomplishing 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 can be divided into the following modules / units. Figure 7 The modules / units 71 to 73 shown.

[0232] The temperature control device 8 can include, but is not limited to, the processor 80, the memory 81. Those skilled in the art can understand that the temperature control device 8 can include more or fewer components than those shown, or combine certain components, or include different components, for example, the temperature control device can also include an input / output device, a network access device, a bus, etc. Figure 8 The temperature control device 8 shown is only an example and does not constitute a limitation on the temperature control device 8, and can include more or fewer components than those shown, or combine certain components, or include different components, for example, the temperature control device can also include an input / output device, a network access device, a bus, etc.

[0233] The processor 80 can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic components, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0234] The memory 81 can be an internal storage unit of the temperature control device 8, such as a hard disk or a memory of the temperature control device 8. The memory 81 can 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. Further, the memory 81 can 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 can also be used to temporarily store data that has been output or will be output.

[0235] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the above-mentioned division of each functional unit and module is exemplified, and in actual application, the above-mentioned functions can be completed by different functional units and modules according to needs, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be realized in the form of hardware or software. In addition, the specific names of each functional unit and module are only for easy distinction, and do not limit the protection scope of the present application. The specific working process of the units and modules in the above system can refer to the corresponding process in the foregoing method embodiments, which will not be repeated here.

[0236] In the above embodiments, the description of each embodiment has its own emphasis, and the parts not described or recorded in detail in a certain embodiment can be referred to the related description of other embodiments.

[0237] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized in electronic hardware or a combination of computer software and electronic hardware. Whether the functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. A person skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0238] In the embodiments provided by the present application, it should be understood that the disclosed apparatus / terminal and method can be implemented by other ways. For example, the above-mentioned apparatus / terminal embodiments are only schematic, and the division of the modules or units is only a logical function division, and there can be another division way in actual implementation, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual coupling or direct coupling or communication connection can be indirect coupling or communication connection through some interface, device or unit, and can be electrical, mechanical or other forms.

[0239] The units described as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0240] In addition, each function unit in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software function unit.

[0241] The integrated module / unit, if realized in the form of a software function unit and sold or used as an independent product, can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the above-mentioned embodiment methods can also be completed by a computer program instructing related hardware, and the computer program can be stored in a computer-readable storage medium. When the processor executes the computer program, the steps of each nanofluid temperature control system control method embodiment can be implemented. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or some intermediate forms, etc. The computer-readable medium can include any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content included in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction, for example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0242] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of each embodiment of the present application, and should be included in the protection scope of the present application.

Claims

1. A control method of a nanofluid temperature regulating system, characterized by, The method comprises: obtaining a target environment parameter, a real-time environment parameter and a control parameter of a nanofluid temperature adjustment system; wherein the environment parameter comprises temperature and humidity, and the control parameter comprises a flow rate of a nanofluid heat exchanger; determining an environment parameter change rate of a previous control period based on a time length of the previous control period, a real-time environment parameter at the beginning of the previous control period and a real-time environment parameter at the end of the previous control period; determining a length of a current control period based on the environment parameter change rate of the previous control period, and determining a control parameter of a next control period based on the target environment parameter and a real-time environment parameter at the end of the current control period; each control period comprises a plurality of sampling time points, and each sampling interval is between two sampling time points; the determination of the length of the current control period based on the environment parameter change rate of the previous control period further comprises: determining an environment parameter change rate of each sampling interval in the previous control period based on real-time environment parameters at the plurality of sampling time points in the previous control period, and taking a sampling time point at which the environment parameter change rate changes as a change time point; determining a response time of a control unit, a pump and a valve based on a difference between a start time of the previous control period and the change time point; adjusting the length of the current control period based on the response time.

2. The control method of the nanofluid thermoregulation system according to claim 1, wherein The determination of the length of the current control period based on the environment parameter change rate of the previous control period comprises: predicting an adjustment time for the real-time environment parameter to reach the target environment parameter based on the target environment parameter and the environment parameter change rate of the previous control period; determining the length of the current control period based on the adjustment time and a preset adjustment number.

3. The control method of the nanofluid thermoregulation system according to claim 1, wherein The determination of the length of the current control period based on the environment parameter change rate of the previous control period comprises: predicting an adjustment time for the real-time environment parameter to reach the target environment parameter based on the environment parameter change rate of the previous control period; adjusting a preset control period length corresponding to a preset adjustment time in a ratio based on a ratio of the adjustment time to the preset adjustment time, to obtain the length of the current control period.

4. The control method of the nanofluid thermoregulation system according to claim 2, wherein Before the prediction of the adjustment time for the real-time environment parameter to reach the target environment parameter based on the target environment parameter and the environment parameter change rate of the previous control period, the method further comprises: determining an environment parameter fluctuation rate based on a prediction model and historical fluctuation data of the environment parameter; correspondingly, the prediction of the adjustment time for the real-time environment parameter to reach the target environment parameter based on the target environment parameter and the environment parameter change rate of the previous control period comprises: predicting a temperature adjustment time for the real-time environment parameter to reach the target environment parameter based on the environment parameter fluctuation rate and the environment parameter change rate of the previous control period.

5. The control method of the nanofluid thermoregulation system according to claim 1, wherein The method further comprises: if there is no previous control period, calculating a difference between the real-time environment parameter and the target environment 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; determining an initial control period length based on an environment parameter change rate corresponding to the initial flow rate.

6. The control method of the nanofluid thermoregulation system according to claim 1, wherein, The determination of the control parameter of the next control period based on the real-time environment parameter at the end of the current control period comprises: If a difference between the real-time environment parameter at the end of the current control period and the real-time environment parameter at the beginning of the current control period is greater than a second preset threshold, the control parameter of the next control period is determined based on the real-time environment parameter at the end of the current control period.

7. A control device for a nanofluid thermoregulation system, characterized by, The method comprises: an acquisition module configured to acquire a target environment parameter, a real-time environment parameter, and a control parameter of a nanofluid temperature adjustment system; wherein the environment parameter comprises temperature and humidity, and the control parameter comprises a flow rate of a nanofluid heat exchanger; a calculation module configured to determine an environment parameter change rate of a previous control period based on a length of the previous control period, a real-time environment parameter at the beginning of the previous control period, and a real-time environment parameter at the end of the previous control period; a control module configured to determine a length of a current control period based on the environment parameter change rate of the previous control period, and to determine a control parameter of a next control period based on the target environment parameter and a real-time environment parameter at the end of the current control period; each control period comprises a plurality of sampling instants, and each sampling interval is between two sampling instants; the control module is further configured to: determine an environment parameter change rate of each sampling interval in the previous control period based on real-time environment parameters at the plurality of sampling instants in the previous control period, and to determine a change instant as a sampling instant at which the environment parameter change rate changes; determine an active time of the control unit, the pump, and the valve based on a difference between a beginning instant of the previous control period and the change instant; and adjust the length of the current control period based on the active time.

8. A tempering device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, The processor executes the computer program to implement the steps of the method of any one of claims 1 to 6.

9. A computer-readable storage medium storing a computer program, the computer program comprising instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1 to 8. The computer program is executed by the processor to implement the steps of the method of any one of claims 1 to 6.

Images