Fan self-adaptive regulation and control method and system based on heat pump field installation

Abstract

The invention relates to a fan self-adaptive regulation and control method and system based on heat pump field installation, and the method comprises the steps: obtaining a basic rotating speed for heat pump calibration, and a data set of motor shaft power and corresponding air volume under different preset external static pressures of the basic rotating speed; a fan similarity law principle relational expression is utilized to obtain a data set after motor shaft power and air volume revision of the basic rotating speed for calibration at different altitudes and in different external static pressure environments, and fan operation data of a heat pump under actual working conditions is collected. A change rate correction coefficient of a rotation speed ratio of different rotation speeds to a calibration rotation speed under different external static pressures (external wind resistance) and a corresponding air volume ratio is introduced, a preset algorithm is combined to adjust the target rotation speed more accurately, required rotation speed data corresponding to the target air volume is generated, and a fan rotation speed control strategy is formulated accordingly to control the target air volume according to the required rotation speed data. And the target fan rotating speed is automatically adjusted and revised to meet the air volume requirement, and the heat exchange effect of the heat pump is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent control of heat pump fans, and in particular to a fan adaptive control method and system based on field installation of heat pumps. Background Art

[0002] At present, heat pump technology has received widespread attention as an efficient and energy-saving heating and cooling solution. The heat pump system achieves the purpose of heating (or cooling) by absorbing heat energy from the environment (or inside the building) and transferring it to the inside of the building (or the environment). In the heat pump system, the fan is one of the key components, and its speed directly affects the air volume and heat exchange efficiency of the system.

[0003] Existing heat pump systems usually use fixed or simple feedback control to adjust the fan speed, for example, by adjusting different preset fixed gears to change the speed to control the air volume, and this control method is difficult to fully consider the impact of changes in ambient atmospheric density on the air volume demand. In high-altitude areas (thin air density) and (or) the heat pump unit fan has a certain external static pressure (such as the unit is connected to an external air duct, etc.), the fan needs a higher speed to ensure that the heat exchange of the heat pump unit is better exerted and the required air volume; while in low-altitude areas (slightly higher air density) and (or) the heat pump unit fan does not have an external static pressure (such as no external air duct, free air flow, and even a certain wind field traction pressure), too high a speed may lead to energy waste and poor overall efficiency of the heat pump. Therefore, the existing heat pump system lacks flexibility and adaptability in fan speed control, and it is difficult to automatically adjust the fan of the heat pump unit based on different air densities and different external static pressures according to the actual installation environment, thereby reducing the heat exchange effect of the heat pump. Summary of the invention

[0004] In order to improve the heat exchange effect of the heat pump, the present application provides a fan adaptive control method and system based on the on-site installation of the heat pump.

[0005] In the first aspect, the above-mentioned invention objective of the present application is achieved through the following technical solutions:

[0006] A method and system for adaptively controlling a fan based on field installation of a heat pump, the method comprising the steps of:

[0007] Obtain the motor shaft power and corresponding air volume data set at different preset static pressure values ​​corresponding to the basic speed of the fan gear used for factory calibration of the heat pump.

[0008] in, (工厂) It is the factory preset shaft power value when the fan is at the speed Ri and the external static pressure is k.ΔP Pa; (工厂)The factory preset shaft power value of the fan at the speed Ri and the external static pressure k.ΔP Pa

[0009] k is a natural number 1, 2, 3 to N, and N is a positive integer;

[0010] ΔP is the size of the subdivision interval of the static pressure outside the machine, and the value can be selected as 5 Pa, 10 Pa...

[0011] The fan gear for calibration can be optionally one or multiple speed sets, and multiple different motor shaft powers and corresponding air volume data sets are formed under different preset static pressure values.

[0012] Taking into account the existence of static pressure (external resistance) outside the heat pump, changes in the fan speed will cause changes in the actual static pressure (resistance) outside the machine, and a correction coefficient α of the change rate of the speed ratio and the air volume ratio under different static pressures is introduced.

[0013] In a preferred example of the present application, the correction coefficient α can be further configured as:

[0014]

[0015] Among them, ΔR is the speed subdivision interval size (such as: 10 or 20 or 50...);

[0016] j is 1, 2, 3 to N, where N is a positive integer;

[0017] ΔP is the size of the subdivision interval of the external static pressure;

[0018] k is 0, 1, 2, 3 to N, where N is a positive integer.

[0019] Data sets are formed according to different static pressures and different speeds, and preset in the unit program to facilitate subsequent calls, calculations and analysis to provide a complete database, so as to obtain a more accurate final target fan speed corresponding to the calibration speed after the heat pump unit is installed on site, so as to ensure that the heat pump unit is in the optimal operating state after on-site installation.

[0020] In a preferred example of the present application, the altitude data of the actual installation location of the heat pump can be obtained manually or automatically associated with the unit main control program in combination with meteorological, altitude and other detection technologies, so as to realize the revised calculation of the data set of the motor shaft power and the corresponding air volume at different static pressures for the fan basic speed preset at the factory for calibration.

[0021] Among them, the optional data set revision calculation formula can be based on the preset atmospheric pressure, temperature and altitude relationship, and wind turbine similarity law formula:

[0022]

[0023] in,

[0024] (revised) is the shaft power (unit: W) of the fan after revision based on the preset value when the static pressure outside the fan is P (unit: pa) at the calibration reference speed Ri;

[0025] (factory), is the preset factory shaft power (unit: W) of the fan when the static pressure outside the machine is P (unit: pa) at the calibration reference speed Ri;

[0026] (revised) is the revised air volume (unit: m) based on the preset value of the fan at the calibration reference speed Ri when the static pressure outside the machine is P (unit: pa). 3 / h);

[0027] (factory), is the preset factory air volume (unit: m) of the fan when the static pressure outside the machine is P (unit: pa) at the calibration reference speed Ri. 3 / h);

[0028] B 当地 It is the atmospheric pressure at the corresponding altitude of the heat pump unit installation site (unit: pa). The local atmospheric pressure can be obtained according to the preset formula of atmospheric pressure and altitude.

[0029] B 出厂 The atmospheric pressure (unit: pa) at the altitude where the heat pump unit is calibrated before leaving the factory for the motor shaft power and air volume correspondence table. This is obtained before the heat pump leaves the factory.

[0030] t 当地 The temperature at the corresponding altitude of the heat pump unit installation site (unit: °C). The local temperature can be obtained according to a preset formula of temperature and altitude. The temperature can be calculated as the average temperature.

[0031] t 出厂 The corresponding temperature (unit: °C) at the altitude where the heat pump unit is located when the motor shaft power and air volume correspondence table is calibrated at the factory. This temperature can be calculated as the average temperature;

[0032] ξ is the air density correction coefficient, and its value range is (0.6~1.4).

[0033] After the unit is installed on site, run the calibration speed Ri and obtain the shaft power (local), combined with the revised data set of shaft power and air volume at different static pressures at the calibration speed, optionally using interpolation:

[0034]

[0035] in, (revised) is the shaft power (W) of the fan after revision based on the preset value when the static pressure outside the fan is k.ΔP (unit: pa) at the calibration reference speed Ri;

[0036] (revised) is the shaft power (unit: W) of the fan after revision based on the preset value when the static pressure outside the fan is (k+1).ΔP (unit: pa) at the calibration reference speed Ri;

[0037] (Local) is the static pressure outside the fan after the fan is installed in the heat pump unit at the calibration reference speed Ri, which is P 当地 Motor shaft power at (unit: W);

[0038] P 当地 It is the actual static pressure value at the fan speed Ri after the unit is installed on site.

[0039] When the unit is running at the rated speed, the interpolation method can be used optionally:

[0040]

[0041] get (Local) corresponds to the actual static pressure value (local).

[0042] When the unit is put into operation Ri, if the fan speed is adjusted, the static pressure resistance P 当地 Keep unchanged and get Ri 预估调整 ,in,

[0043] According to Ri 预估调整 The correction coefficient α data set of the speed ratio and air volume ratio change rate under different static pressures is analyzed to obtain the factors that take into account the fan speed change and the external static pressure will be adjusted accordingly.

[0044] Optionally confirm Ri 预估调整 The value falls between [R(i±jΔR), R(i±(j+1)ΔR)], and the static pressure P confirmed to fall between [k.ΔP, (k+1).ΔP] is determined. The average of the sum of the four numbers is taken as the final correction value α.

[0045] By adopting the above technical solution, the correction coefficient α of the speed ratio and air volume ratio change rate under four different static pressures corresponding to different adjacent intervals is 平均The average value of is taken as the final correction value α to correct the speed calculation formula to improve the accuracy of prediction and control, thereby further improving the heat exchange performance of the heat pump.

[0046] in accordance with So as to obtain the final Ri 最终调整 .

[0047] The speed Ri is calibrated according to the factory state 最终调整 , and after field installation, adjust the rated speed to Ri according to actual conditions. 最终调整 The remaining fan gear control strategies are adjusted accordingly based on the adjustment amount, and the fan speed control strategy of the heat pump is generated and the fan speed is controlled. The fan speed control strategy is used to meet the actual air volume requirements when the actual installation environment of the unit (including atmospheric density, external air resistance, etc.) is different from the factory setting state.

[0048] By adopting the above technical scheme, combined with different atmospheric densities and external static pressure environments, a preliminary prediction is made on the working state of the heat pump calibration gear at different altitudes, and preliminary adjustments are made based on the prediction results. After installation on site, the fan speed control strategy is further optimized according to the feedback of actual measurement data and heat pump working data, so that the speed of the heat pump produces an expected air volume, thereby making the heat pump speed have an adaptive control function, improving the flexibility and adaptability of the heat pump during operation, so that it has the function of automatically adjusting according to the static pressure difference changes caused by the real-time ambient pressure, thereby improving the heat exchange effect of the heat pump.

[0049] In the second aspect, the above invention objective of the present application is achieved through the following technical solutions:

[0050] A fan adaptive control method and system based on field installation of a heat pump, the system comprising: a basic parameter acquisition module, used to obtain the basic speed corresponding to each gear of the heat pump, the calibration speed and the corresponding motor shaft power;

[0051] The module for calculating the impact of expected ambient atmospheric density is used to obtain the altitude data of the heat pump installation location, and calculate the expected atmospheric density impact corresponding to the altitude based on the preset atmospheric pressure, temperature and altitude relationship and the similarity law formula of the fan, and obtain the motor shaft power and fan air volume data set after the calibration is updated at different external static pressures at the basic speed;

[0052] An expected motor shaft power calculation module, used for calculating the expected motor shaft power corresponding to the basic speed when the heat pump works in the expected atmospheric density environment based on a preset power prediction model;

[0053] An expected air volume data calculation module, used to calculate the expected air volume data corresponding to the basic speed when the heat pump works in the expected atmospheric density environment based on a preset air volume prediction model;

[0054] The actual working parameter acquisition module is used to obtain the actual motor shaft power and actual air volume data under the actual environment external static pressure corresponding to the calibration basic speed when the heat pump is actually working at the altitude data, and at the same time, it is used to record the actual motor shaft power and actual air volume data under different basic speeds and corresponding different external static pressures, and associate them one by one to construct an actual working data set;

[0055] A demand speed data generating module, which is pre-set with a working correction model to analyze the actual working data set based on a machine self-learning algorithm to generate demand speed data corresponding to a target air volume;

[0056] The fan speed control strategy generation module is used to generate a fan speed control strategy for the heat pump based on the required speed data and control the fan speed. The fan speed control strategy is used to meet the actual air volume demand when the actual static pressure environment differs from the factory setting.

[0057] On the third aspect, the above-mentioned purpose of the present application is achieved through the following technical solutions:

[0058] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned method for adaptively controlling a fan based on field installation of a heat pump are implemented.

[0059] Fourthly, the above-mentioned purpose of the present application is achieved through the following technical solutions:

[0060] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned fan adaptive control method based on on-site installation of a heat pump are implemented.

[0061] In summary, the present application includes at least one of the following beneficial technical effects:

[0062] 1. Combined with different static pressure environments, the working state of the heat pump calibration gear at different altitudes is preliminarily predicted, and preliminary adjustments are made based on the prediction results. After the heat pump unit is installed on site, the fan speed control strategy is further optimized according to the feedback of actual measurement data and heat pump working data, so that the speed of the heat pump produces the expected air volume, so that the heat pump speed has an adaptive control function, improves the flexibility and adaptability of the heat pump during operation, and has the function of automatic adjustment according to the changes in atmospheric density caused by the real-time ambient temperature and pressure and different external static pressure resistance, thereby improving the heat exchange effect of the heat pump;

[0063] 2. Calculate the motor shaft power and the corresponding air volume at the basic speed of the fan for calibration corresponding to the altitude of the actual installation site to generate the expected motor shaft power and the corresponding air volume data set, which provides a basic reference value for the subsequent heat pump speed regulation, improves the rationality of regulation and makes the heat pump fan more adaptable;

[0064] 3. Compare the actual data with the predicted data to generate difference data, and judge the actual external static pressure value, expected air volume, etc. in multiple dimensions, which improves the accuracy of judgment and provides a basis for the optimization of subsequent adaptive control, thereby further improving the adaptability of heat pump control to meet the actual use needs and improve user experience;

[0065] 4. The four adjacent intervals consisting of the expected initial speed and the predicted target external static pressure are divided, and the α correction coefficient of each interval is obtained. The average is taken as the final correction coefficient α of the speed ratio and air volume ratio change rate under different static pressures to correct and obtain the final fan speed calculation formula, so as to improve the accuracy of prediction and control, thereby further improving the heat exchange performance of the heat pump. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 This is a flowchart of a method for adaptively controlling a fan based on field installation of a heat pump in one embodiment of the present application;

[0067] Figure 2 It is a principle block diagram of a fan adaptive control system based on field installation of a heat pump in one embodiment of the present application;

[0068] Figure 3 It is a schematic diagram of an electronic device in an embodiment of the present application.

[0069] Figure Number:

[0070] 1. Basic parameter acquisition module; 2. Expected atmospheric density influencing factor calculation module; 3. Expected motor shaft power calculation module; 4. Expected air volume data calculation module; 5. Actual working parameter acquisition module; 6. Actual working data set construction module; 7. Required speed data generation module; 8. Fan speed control strategy generation module. DETAILED DESCRIPTION

[0071] The present application is further described in detail below in conjunction with the accompanying drawings.

[0072] In one embodiment, if Figure 1 As shown, the present application discloses a fan adaptive control method based on field installation of a heat pump, which specifically includes the following steps:

[0073] S10: Obtain the motor shaft power and corresponding air volume data set at different preset static pressure values ​​corresponding to the basic speed of the fan gear used for factory calibration of the heat pump:

[0074]

[0075] in, (工厂) For the fan, k is a natural number 1, 2, 3 to N, where N is a positive integer; ΔP is the size of the subdivision interval of the static pressure outside the machine, which can be selected as 5 Pa, 10 Pa...

[0076] The fan gear used for calibration can be one or more fan gears, and multiple motor shaft powers and corresponding air volume data sets can be formed under different preset static pressure values.

[0077] S20: Obtaining a data set of speed ratios of different preset speeds to the calibrated speed Ri and their corresponding air volume ratio change rate correction coefficients α under different static pressures (external resistances) preset when the heat pump leaves the factory.

[0078] When there is static pressure (external resistance) outside the heat pump (such as resistance caused by high air pressure outside the external air duct or outlet), changes in the fan speed will also cause changes in the actual static pressure (resistance) outside the machine. The correction coefficient α of the rate of change of the speed ratio and the air volume ratio under different static pressures is introduced to calculate the revised amount of the impact of the above speed change on the external static pressure.

[0079] The correction factor α can be further configured as:

[0080] Among them, ΔR is the speed subdivision interval size (such as: 10 or 20 or 50...);

[0081] j is 1, 2, 3 to N, where N is a positive integer;

[0082] ΔP is the size of the subdivision interval of the external static pressure;

[0083] k is 0, 1, 2, 3 to N, where N is a positive integer.

[0084]

[0085] Data sets are formed according to different static pressures and different speeds, and preset in the unit program to facilitate subsequent calls, calculations and analysis to provide a complete database, so as to obtain a more accurate final target fan speed corresponding to the calibration speed after the heat pump unit is installed on site, so as to ensure that the heat pump unit is in the optimal operating state after on-site installation.

[0086] S30: Acquire the altitude data of the actual installation location of the heat pump, and based on the preset atmospheric pressure, temperature and altitude relationship, the similarity law formula of the fan, and the preset altitude correction coefficient for the change of air density, obtain a revised data set of the fan shaft power and the corresponding air volume;

[0087] Specifically, in the embodiment of the present application, the altitude data of the actual installation location of the heat pump is obtained manually or automatically associated with the main control program of the unit in combination with meteorological, altitude and other detection technologies, so as to realize the revision calculation of the data set of the motor shaft power and the corresponding air volume at different static pressures for the fan basic speed preset at the factory for calibration.

[0088]

[0089] in,

[0090] (revised) is the shaft power (unit: W) of the fan after revision based on the preset value when the static pressure outside the fan is P (unit: Pa) at the calibration reference speed Ri;

[0091] (factory), is the preset factory shaft power (unit: W) of the fan when the static pressure outside the machine is P (unit: Pa) at the calibration reference speed Ri;

[0092] (revised) is the revised air volume (unit: m) based on the preset value of the fan at the calibration reference speed Ri and the static pressure outside the machine is P (unit: Pa). 3 / h);

[0093] (factory), is the preset factory air volume (unit: m) of the fan when the static pressure outside the machine is P (unit: Pa) at the calibration reference speed Ri. 3 / h);

[0094] B 当地It is the atmospheric pressure at the corresponding altitude of the heat pump unit installation site (unit: Pa). The local atmospheric pressure can be obtained according to the preset formula of atmospheric pressure and altitude.

[0095] B 出厂 The atmospheric pressure (unit: Pa) at the altitude where the heat pump unit is calibrated before leaving the factory for the motor shaft power and air volume correspondence table. This is obtained before the heat pump leaves the factory.

[0096] t 当地 The temperature at the corresponding altitude of the heat pump unit installation site (unit: °C). The local temperature can be obtained according to a preset formula of temperature and altitude. The temperature can be calculated as the average temperature.

[0097] t 出厂 The corresponding temperature (unit: °C) at the altitude where the heat pump unit is located when the motor shaft power and air volume correspondence table is calibrated at the factory. This temperature can be calculated as the average temperature;

[0098] ξ is the air density correction coefficient. In the embodiment of the present application, the value range of the air density correction coefficient is 0.6-1.4, and the specific value of the air density correction coefficient is based on the actual altitude. The corresponding air density correction coefficient is selected for different actual altitudes, thereby improving the accuracy of the power prediction model, further improving the accuracy of the heat pump control, and thus improving the heat exchange effect of the heat pump.

[0099] In a preferred example of the present application, the preset atmospheric pressure formula is based on the empirical formula between atmospheric pressure and altitude in Article 8.2.5 of the "Electric Power Industry Standard of the People's Republic of China: Technical Specifications for Design and Calculation of Combustion Systems of Thermal Power Plants (DL / T 5240-2010)" issued by the National Energy Administration:

[0100] B 当地 =101.3×{1-0.0255×(H / 1000)×[6357 / (6357+H / 1000)]} 5.256 , where H is the local altitude. It should be noted that the atmospheric pressure formula can be other actual pressure prediction calculation formulas.

[0101] S40: After the heat pump is installed on site, the fan is tested at the calibrated basic speed Ri to obtain the corresponding fan shaft power (local), and analyze and calculate in combination with the revised benchmark database of fan shaft power under different preset static pressures, to obtain the actual external static pressure value of the fan at the calibrated benchmark speed and the actual air volume data under the external static pressure after the heat pump is installed on site;

[0102] In the embodiment of the present application, the interpolation method can be used to obtain P 当地 :

[0103]

[0104] in, (revised) is the shaft power (unit: W) of the fan after revision based on the preset value at the reference speed Ri for calibration and the static pressure outside the fan is k.ΔP (unit: Pa);

[0105] (revised) is the shaft power (unit: W) of the fan after revision based on the preset value when the external static pressure is (k+1).ΔP (unit: Pa) at the calibration reference speed Ri;

[0106] (Local) is the static pressure outside the fan after the fan is installed in the heat pump unit at the calibration reference speed Ri, which is P 当地 Motor shaft power at (unit: W);

[0107] P 当地 It is the actual static pressure value (unit: Pa) at the fan speed Ri after the unit is installed on site.

[0108] In the embodiment of the present application, when the unit is running at the calibrated speed, the interpolation method can be used to obtain (local):

[0109]

[0110] Through the above formula and the existing calibrated data set, we can obtain (Local) corresponds to the actual static pressure value (Local). S50: The air volume at the calibrated speed Ri and the corresponding external static pressure determined The ratio of the air volume at the speed of 0 Pa in the basic data of the unit (local) is used to obtain the initial estimated speed adjustment value of the reference speed for fan calibration. ;

[0111] When the unit is put into operation Ri, if the fan speed is adjusted, the static pressure resistance P 当地 Keep unchanged and get Ri 预估调整 ,in,

[0112] S60: Based on a data set of correction coefficients α of the speed ratios of different speeds to the calibrated base speed Ri and their corresponding air volume ratios under different preset external static pressures (external wind resistance), the target speed is finally revised and the final adjustment value corresponding to the calibrated speed is obtained.

[0113] In the embodiments of the present application, the specific basis Ri 预估调整The correction coefficient α data set of the speed ratio and air volume ratio change rate under different static pressures is analyzed to obtain a more accurate correction coefficient α after considering the fan speed change and the external static pressure adjustment.

[0114] In a preferred example of this application, first confirm Ri 预估调整 The static pressure P falls between [k.ΔP, (k+1).ΔP], thus determining the The average value of the sum of the four numbers obtained is taken as the final correction value α.

[0115] By adopting the above technical solution, the correction coefficient α of the speed ratio and air volume ratio change rate under four different static pressures corresponding to different adjacent intervals is 平均 The average value of is taken as the final correction value α to correct the speed calculation formula to improve the accuracy of prediction and control, thereby further improving the heat exchange performance of the heat pump.

[0116] in accordance with So as to obtain the final Ri 最终调整 .

[0117] It should be noted that the working correction model can be based on a neural network algorithm to calculate several groups of corresponding correction coefficients α to generate an optimized final correction coefficient α, which is used to update and correct the transfer calculation formula, thereby improving the accuracy of predictive control.

[0118] S70: Adjust the fan speed before and after (Ri and Ri according to the obtained calibration 最终调整 ) data comparison and the required speed sequence data generate a new speed sequence control strategy for the fan of the heat pump and control the speed of the fan. The fan speed sequence control strategy is used to meet the actual air volume demand when the actual installation environment (different altitudes, external static pressure) is different from the factory setting.

[0119] In summary, this scheme combines different external static pressure environments to make a preliminary prediction of the working state of the heat pump calibration speed in different atmospheric density environments, and makes preliminary adjustments based on the prediction results. After installation in the field, according to the feedback of actual measurement data and heat pump working data, the fan speed control strategy is further optimized, so that the speed of the heat pump produces the expected air volume, so that the heat pump speed has the function of adaptive regulation, improves the flexibility and adaptability of the heat pump during operation, and has the function of automatic adjustment according to the static pressure difference caused by the real-time ambient pressure, thereby improving the heat exchange effect of the heat pump.

[0120] It should be understood that the size of the serial numbers of the steps in the above embodiments does not 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 embodiments of the present application.

[0121] In one embodiment, a fan adaptive control system based on a heat pump field installation is provided, and the fan adaptive control system based on a heat pump field installation corresponds one-to-one to the fan adaptive control method based on a heat pump field installation in the above embodiment. Figure 2 As shown, the fan adaptive control system based on the field installation of the heat pump includes a basic parameter acquisition module 1, which is used to obtain the basic speed corresponding to each gear of the heat pump, the calibration speed and the corresponding motor shaft power;

[0122] Module 2 for calculating the influence factors of the expected ambient atmospheric density is used to obtain the altitude data of the heat pump installation location, and calculate the expected atmospheric density influence corresponding to the altitude based on the preset atmospheric pressure, temperature and altitude relationship and the similarity law formula of the fan, and obtain the motor shaft power and the wind volume data set of the fan after the calibration is updated at different external static pressures under the basic speed;

[0123] An expected motor shaft power calculation module 3, used for calculating the expected motor shaft power corresponding to the basic speed when the heat pump works in the expected atmospheric density environment based on a preset shaft power prediction model;

[0124] An expected air volume data calculation module 4 is used to calculate the expected air volume data corresponding to the basic speed when the heat pump works in the expected atmospheric density environment based on a preset air volume prediction model;

[0125] The actual working parameter acquisition module 5 is used to obtain the actual motor shaft power and actual air volume data under the actual ambient external static pressure corresponding to the calibration basic speed when the heat pump is actually working at the altitude data;

[0126] The actual working data set construction module 6 is used to record the actual motor shaft power and actual air volume data at different external static pressures corresponding to the basic speed, and associate them one by one to construct the actual working data set. At the same time, it is used to record the speed ratio of different speeds to the calibrated speed Ri and the change rate correction coefficient α of the air volume ratio corresponding to each of the different speeds under the different external static pressures (external wind resistance), and associate them one by one to construct the actual working data set;

[0127] A demand speed data generating module 7 is used to pre-set a working correction model to analyze the actual working data set based on a machine self-learning algorithm to generate demand speed data corresponding to the target air volume;

[0128] The fan speed control strategy generating module 8 is used to generate the fan speed control strategy of the heat pump based on the required speed data and control the fan speed. The fan speed control strategy is used to meet the actual air volume demand when the actual static pressure environment is different from the factory setting.

[0129] For the specific limitations of the fan adaptive control system based on the field installation of the heat pump, please refer to the limitations of the fan adaptive control method based on the field installation of the heat pump above, which will not be repeated here. Each module in the above-mentioned fan adaptive control system based on the field installation of the heat pump can be implemented in whole or in part through software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the electronic device in the form of hardware, or can be stored in the memory of the electronic device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0130] In one embodiment, an electronic device is provided. The electronic device may be a server, and its internal structure diagram may be as follows: Figure 3 As shown. The electronic device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the electronic device is used to store a database. The network interface of the electronic device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a fan adaptive control method based on field installation of a heat pump is implemented.

[0131] In one embodiment, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program:

[0132] Obtain the basic speed, the rated speed and the corresponding motor shaft power corresponding to each gear of the heat pump;

[0133] Obtain the altitude data of the heat pump installation location, and calculate the expected atmospheric density influence corresponding to the altitude based on the preset atmospheric pressure, temperature and altitude relationship and the fan similarity law formula, and obtain the updated motor shaft power and fan air volume data set at different external static pressures at the calibration base speed;

[0134] Calculating the expected motor shaft power corresponding to the basic speed when the heat pump operates in the expected atmospheric density environment based on a preset shaft power prediction model;

[0135] Calculating the expected air volume data corresponding to the basic speed when the heat pump works in the expected atmospheric density environment based on a preset air volume prediction model;

[0136] Acquire the actual motor shaft power and actual air volume data under the actual ambient external static pressure corresponding to the calibration base speed when the heat pump is actually working at the altitude data;

[0137] Record the actual motor shaft power and actual air volume data at different external static pressures corresponding to the basic speed, and associate them one by one to construct an actual working data set. At the same time, record the speed ratios of different speeds to the calibrated speed Ri and the change rate correction coefficients α of the air volume ratios corresponding to the different speeds under the different external static pressures (external wind resistance), and associate them one by one to construct an actual working data set.

[0138] A demand speed data generation module is configured to be pre-set with a working correction model to analyze the actual working data set based on a machine self-learning algorithm to generate demand speed data corresponding to a target air volume;

[0139] Based on the required speed data, a fan speed control strategy of the heat pump is generated and the fan speed is controlled, wherein the fan speed control strategy is used to meet the actual air volume demand when the actual static pressure environment is different from the factory setting. In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0140] Obtain the basic speed, the rated speed and the corresponding motor shaft power corresponding to each gear of the heat pump;

[0141] Obtain the altitude data of the heat pump installation location, and calculate the expected atmospheric density influence corresponding to the altitude based on the preset atmospheric pressure, temperature and altitude relationship and the fan similarity law formula, and obtain the updated motor shaft power and fan air volume data set at different external static pressures at the calibration base speed;

[0142] Calculating the expected motor shaft power corresponding to the basic speed when the heat pump operates in the expected atmospheric density environment based on a preset shaft power prediction model;

[0143] Calculating the expected air volume data corresponding to the basic speed when the heat pump works in the expected atmospheric density environment based on a preset air volume prediction model;

[0144] Acquire the actual motor shaft power and actual air volume data under the actual ambient external static pressure corresponding to the calibration base speed when the heat pump is actually working at the altitude data;

[0145] Record the actual motor shaft power and actual air volume data at different external static pressures corresponding to the basic speed, and associate them one by one to construct an actual working data set. At the same time, record the speed ratios of different speeds to the calibrated speed Ri and the change rate correction coefficients α of the air volume ratios corresponding to the different speeds under the different external static pressures (external wind resistance), and associate them one by one to construct an actual working data set.

[0146] A demand speed data generation module is configured to be pre-set with a working correction model to analyze the actual working data set based on a machine self-learning algorithm to generate demand speed data corresponding to a target air volume;

[0147] A fan speed control strategy for the heat pump is generated based on the required speed data and the fan speed is controlled. The fan speed control strategy is used to meet the actual air volume demand when the actual static pressure environment differs from the factory setting.

[0148] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0149] Those skilled in the art 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. In actual applications, the above-mentioned functions can be distributed and 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.

[0150] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person 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 application, and should all be included in the protection scope of the present application.

Claims

1. A fan adaptive control method and system based on field installation of a heat pump, characterized in that: By obtaining relevant data under the factory status and on-site installation application scenario status, considering the influence of many factors such as atmospheric density and external resistance, and combining the heat pump adaptive algorithm, the fan speed is intelligently controlled and revised in multiple dimensions, achieving the flexibility and accuracy of the heat pump fan control under changing environmental conditions, and improving the adaptability of the system to ensure the realization of high energy efficiency of the unit.

2. A fan adaptive control method and system based on field installation of a heat pump according to claim 1, characterized in that: The method comprises the steps of: obtaining a motor shaft power and a corresponding air volume data set corresponding to a basic speed corresponding to a fan gear position used for factory calibration of a heat pump at different preset static pressure values.

3. The method for adaptively controlling a fan based on field installation of a heat pump according to claim 1, characterized in that: When there is resistance such as static pressure outside the heat pump, changes in fan speed will cause changes in the actual static pressure outside the machine. By introducing a correction coefficient and forming a data set, it is preset in the program to provide a database for subsequent calculations and analysis, thereby more accurately obtaining the target fan speed that needs to be adjusted in the end.

4. According to claim 3, it is characterized in that: The correction coefficient is further calibrated in the factory to determine the change rate of the speed ratio and the corresponding air volume ratio in different static pressure ranges as the influence coefficient of the actual external static pressure change caused by the change of fan speed: in, For the fan speed R (i±j.ΔR) , the correction coefficient when the external static pressure is k.ΔP; ΔR is the speed subdivision interval size, j is 1, 2, 3...; ΔP is the external static pressure subdivision interval size, k is 0, 1, 2, 3...

5. The method for adaptively controlling a fan based on field installation of a heat pump according to claim 1, characterized in that: After obtaining the altitude data of the actual installation location of the heat pump, the data set of the motor shaft power and the corresponding air volume of the fan basic speed at different static pressures preset at the factory are revised and calculated.

6. The method for adaptively controlling a fan based on on-site installation of a heat pump according to claim 5, characterized in that: The calculation formula for dataset revision can be based on the preset atmospheric pressure, the relationship between temperature and altitude, and the fan similarity law formula: Obtain the local atmospheric pressure B based on the preset formula of atmospheric pressure and altitude 当地 , according to the preset formula of temperature and altitude, the local temperature t is obtained 当地 .in is the shaft power of the fan after revision based on the preset value at the reference speed Ri for calibration and the static pressure outside the fan is P, is the preset factory shaft power of the fan when the static pressure outside the machine is P at the calibration reference speed Ri, B 当地 is the atmospheric pressure at the corresponding altitude where the heat pump unit is installed, B 出厂 The atmospheric pressure at the altitude where the heat pump unit is calibrated at the factory for the motor shaft power and air volume correspondence table), t 当地 is the temperature at the corresponding altitude where the heat pump unit is installed, t 出厂 It is the corresponding air temperature at the altitude where the heat pump unit is calibrated before leaving the factory for the relationship between the motor shaft power and the air volume. ξ is the air density correction factor.

7. The method for adaptively controlling a fan based on field installation of a heat pump according to claim 1, characterized in that: After the unit is installed on site, run the unit at the calibrated speed and obtain the shaft power. Combined with the revised data set of shaft power and air volume at different static pressures at the calibration speed, the actual static pressure value P outside the unit after the unit is installed on site is obtained. 当地 , and the estimated adjustment value Ri of the calibrated speed 预估调整 .

8. The method for adaptively controlling a fan based on on-site installation of a heat pump according to claim 7, characterized in that: When the unit is running at the calibrated speed, the actual static pressure value P outside the unit is obtained by interpolation method. 当地 .

9. According to claim 7, a fan adaptive control method based on field installation of a heat pump is characterized in that: When the unit is running at the rated speed, the interpolation method is used to obtain Corresponding to actual static pressure value 10. The characteristic of the invention according to claim 7 is that when the unit is actually running at a calibrated speed, the When the unit is put into operation Ri, if the fan speed is adjusted, the static pressure resistance P 当地 Keep unchanged and get Ri 预估调整 ,in, 11. The method for adaptively controlling a fan based on a heat pump installed on site according to claim 10, according to Ri 预估调整 The correction coefficient data set of the speed ratio and air volume ratio change rate under different static pressures is analyzed to obtain the factors that consider the fan speed change and the external static pressure will be adjusted accordingly, and the final Ri is obtained. 最终调整 .

12. The method for adaptively controlling a fan based on on-site installation of a heat pump according to claim 11, characterized in that: The speed Ri is calibrated according to the factory state 最终调整 , and after field installation, adjust the rated speed to Ri according to actual conditions. 最终调整 The remaining fan gear control strategies are adjusted accordingly based on the adjustment amount, and the fan speed control strategy of the heat pump is generated and the fan speed is controlled. The fan speed control strategy is used to meet the actual air volume requirements when the actual installation environment of the unit is different from the factory setting state.

13. The method for adaptively controlling a fan based on on-site installation of a heat pump according to claim 1, characterized in that: The calibration speed Ri can be a single speed or a set of speeds.

14. A fan adaptive control system based on on-site installation of a heat pump, applied to a fan adaptive control method based on on-site installation of a heat pump according to any one of claims 1 to 13, characterized in that: The system comprises: a basic parameter acquisition module (1) for acquiring a basic speed corresponding to each gear of the heat pump, a calibration speed and a corresponding motor shaft power; The module (2) for calculating the influence factor of the expected ambient atmospheric density is used to obtain the altitude data of the heat pump installation location, and calculate the expected atmospheric density influence corresponding to the altitude based on the preset atmospheric pressure, temperature and altitude relationship and the similarity law formula of the fan, and obtain the motor shaft power and the wind volume data set of the fan after being updated at different external static pressures at the calibration base speed; An expected motor shaft power calculation module (3), used for calculating the expected motor shaft power corresponding to the basic speed when the heat pump operates in the expected atmospheric density environment based on a preset shaft power prediction model; An expected wind volume data calculation module (4) is used to calculate the expected wind volume data corresponding to the basic speed when the heat pump is working in the expected atmospheric density environment based on a preset wind volume prediction model; An actual working parameter acquisition module (5) is used to obtain actual motor shaft power and actual air volume data under actual ambient external static pressure corresponding to the calibration base speed when the heat pump is actually working at the altitude data; an actual working data set construction module (6), used for recording the actual motor shaft power and actual air volume data at different external static pressures corresponding to the basic speed, and associating them one by one to construct the actual working data set; and at the same time, used for recording the speed ratios of different speeds to the calibrated speed Ri and the change rate correction coefficients α of the air volume ratios respectively corresponding to the different speeds at different external static pressures, and associating them one by one to construct the actual working data set; A demand speed data generating module (7) is used to pre-set a working correction model to analyze and calculate the actual working data set based on a machine self-learning algorithm to generate demand speed data corresponding to the target air volume; A fan speed control strategy generating module (8) is used to generate a fan speed control strategy for the heat pump based on the required speed data and control the speed of the fan, wherein the fan speed control strategy is used to meet the actual air volume demand when the actual static pressure environment differs from the factory setting.

15. An electronic 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 a fan adaptive control method based on field installation of a heat pump are implemented as described in any one of claims 1 to 13.

16. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by the processor, the steps of a fan adaptive control method based on field installation of a heat pump are implemented as described in any one of claims 1 to 13.

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