Fuzzy control method and device for solar energy - ground source heat pump heating system

Abstract

The present disclosure relates to a fuzzy control method, device, electronic device and storage medium for a partially variable frequency solar-ground source heat pump heating system. The method comprises: establishing a mathematical model of the solar-ground source heat pump heating system and determining input variables and output variables; fuzzifying the input variables and output variables to generate corresponding fuzzy sets; and generating fuzzy control rules based on the fuzzy sets to achieve partial variable frequency fuzzy control of the solar-ground source heat pump heating system. The present disclosure achieves partial variable frequency control of the solar-ground source heat pump heating system by establishing a mathematical model of the solar-ground source heat pump heating system and designing a corresponding fuzzy control strategy. Under the same operating conditions, the energy consumption of the partial variable frequency system is reduced and the performance coefficient is improved.

Description

Technical Field

[0001] The present disclosure relates to the field of new energy, and in particular to a fuzzy control method, device, electronic device, and computer-readable storage medium for a partially variable frequency solar-ground source heat pump heating system. Background Art

[0002] Building energy consumption is increasing annually, with heating and cooling consuming the most, accounting for 55% of total energy consumption. This represents a significant increase from 10% to 46% of total energy consumption in the last century. Therefore, reducing building energy consumption has become a pressing issue in recent years. The 14th Five-Year Plan emphasizes a "clean, low-carbon, safe, and efficient" modern energy system, accelerating energy transformation and strengthening the integration and complementarity of wind, solar, water, fire, and storage to enhance energy utilization, address the challenges of renewable energy absorption, and reduce energy consumption and costs. Consequently, the increased application of solar energy and ground-source heat pumps in buildings has become a popular method for cooling and heating. Solar energy is an inexhaustible natural resource that is clean, renewable, and easy to collect. However, as a single energy source, it has significant drawbacks: its short-term sustainability is limited and it is highly susceptible to weather and seasonal factors. Ground-source heat pumps, on the other hand, utilize a small amount of high-quality energy to transfer energy from low-temperature to high-temperature sources for cooling or heating. They offer excellent stability, energy efficiency, and a long service life. They are also multi-purpose, environmentally friendly, and renewable. However, it is subject to significant field constraints. Without sufficient space, achieving energy exchange is difficult. Furthermore, the biggest challenge is the inability to address soil thermal imbalance. Because ground-source heat pumps absorb or release significant amounts of heat from the soil during operation, this can cause temperature imbalances in the soil surrounding the buried pipes, impacting the ecosystem and reducing heat exchange, ultimately reducing system performance. Therefore, combining solar energy with ground-source heat pumps for heating can address each other's shortcomings while leveraging their respective strengths.

[0003] Many researchers studying solar-ground-source heat pump combined heating systems have focused on improving system performance and their integration. However, little research has been conducted on improving system performance and reducing energy consumption by changing system control strategies and component usage. Because solar-ground-source heat pump combined heating systems exhibit significant hysteresis, existing systems often utilize fixed-frequency control, resulting in high overall energy consumption.

[0004] Therefore, one or more methods are needed to solve the above problems.

[0005] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present disclosure, and therefore may include information that does not constitute prior art known to ordinary technicians in the field. Summary of the Invention

[0006] The purpose of the present disclosure is to provide a fuzzy control method, device, electronic device and computer-readable storage medium for a partially variable frequency solar-ground source heat pump heating system, thereby overcoming one or more problems caused by the limitations and defects of related technologies to at least some extent.

[0007] According to one aspect of the present disclosure, a fuzzy control method for a partially variable frequency solar-ground source heat pump heating system is provided, comprising:

[0008] Based on the solar-ground source heat pump heating system, mathematical models of the solar collector, stratified water storage tank, water pump, converging three-way valve, flow distributor, heat pump, and heater in the solar-ground source heat pump heating system are established respectively;

[0009] Establishing the subsystems of the solar-ground source heat pump heating system based on the mathematical model, analyzing the logical structure of the subsystems of the solar-ground source heat pump heating system, and determining that the input variables of the solar-ground source heat pump heating system are the temperature set value and the solar collector outlet temperature, and the output variable is the water pump control signal;

[0010] The temperature setting value, the input variable of the solar collector outlet temperature, and the output variable of the water pump control signal are fuzzy processed to generate a temperature setting value fuzzy set, a solar collector outlet temperature fuzzy set, and a water pump control signal fuzzy set;

[0011] Fuzzy control rules are generated based on the temperature setting value fuzzy set, the solar collector outlet temperature fuzzy set, and the water pump control signal fuzzy set to achieve partial variable frequency fuzzy control of the solar-ground source heat pump heating system.

[0012] In an exemplary embodiment of the present disclosure, the subsystem of establishing the solar-ground source heat pump heating system based on the mathematical model includes:

[0013] The solar heating subsystem includes a solar collector, a heat storage tank, and a water pump. The control signals are the outlet temperature of the solar collector and the outlet temperature of the heat transfer medium in the heat storage tank.

[0014] The ground source heat pump heating subsystem includes a heat pump, a U-shaped buried pipe, a water pump, and a hot water storage tank. The control signal is the outlet temperature of the heat transfer medium in the hot water storage tank and the temperature of the heat exchange medium in the hot water storage tank.

[0015] The heater heating subsystem includes a heat storage tank, a water pump, and auxiliary heating equipment. The control signal is the heat exchange medium temperature of the heat storage tank and the temperature set value;

[0016] The working area circulating heating subsystem includes a hot water storage tank, a water pump, and a working area. The control signal includes a temperature setting value and a water pump control signal.

[0017] In an exemplary embodiment of the present disclosure, the method of fuzzifying the temperature setting value to generate a temperature setting value fuzzy set further includes:

[0018] The temperature setting value is fuzzified based on the triangular membership function to generate three fuzzy sets: SD (low temperature), MD (moderate temperature), and LD (high temperature). The value range is [65, 80]. The membership function is as follows:

[0019]

[0020]

[0021]

[0022] Where x is the temperature setting value.

[0023] In an exemplary embodiment of the present disclosure, the method further comprises: fuzzifying the solar collector outlet temperature to generate a solar collector outlet temperature fuzzy set;

[0024] The outlet temperature of the solar collector is fuzzified based on the triangular membership function to generate three fuzzy sets: NG (low temperature), MG (medium temperature), LG (high temperature), with a value range of [-5, 95]. The membership function is as follows:

[0025]

[0026]

[0027]

[0028] Where y is the outlet temperature of the solar collector.

[0029] In an exemplary embodiment of the present disclosure, the method of fuzzifying the water pump control signal to generate a fuzzy set of the water pump control signal further includes:

[0030] The water pump control signal is fuzzified based on the triangular membership function to generate five fuzzy sets: VS (very small), S (small), M (medium), L (large), VL (very large), with a value range of [0,1]. The membership function is as follows:

[0031]

[0032]

[0033]

[0034]

[0035]

[0036] Among them, z is the water pump control signal.

[0037] In an exemplary embodiment of the present disclosure, the fuzzy control rule generated in the method based on the temperature setting value fuzzy set, the solar collector outlet temperature fuzzy set, and the water pump control signal fuzzy set is:

[0038] When the temperature setting value fuzzy set to which the input variable temperature setting value belongs is SD (low temperature) and the solar collector outlet temperature fuzzy set to which the solar collector outlet temperature belongs is NG (low temperature), the water pump control signal fuzzy set applied by the output variable water pump control signal is VS (very small);

[0039] When the temperature setting value fuzzy set to which the input variable temperature setting value belongs is MD (moderate temperature), and the solar collector outlet temperature fuzzy set to which the solar collector outlet temperature belongs is MG (medium temperature), the water pump control signal fuzzy set applied by the output variable water pump control signal is M (medium);

[0040] When the temperature setting value fuzzy set to which the input variable temperature setting value belongs is LD (high temperature) and the solar collector outlet temperature fuzzy set to which the solar collector outlet temperature belongs is LG (high temperature), the water pump control signal fuzzy set applied by the output variable water pump control signal is L (large);

[0041] When the temperature setting value fuzzy set to which the input variable temperature setting value belongs is SD (low temperature) and the solar collector outlet temperature fuzzy set to which the solar collector outlet temperature belongs is NG (low temperature), the water pump control signal fuzzy set applied by the output variable water pump control signal is S (small);

[0042] When the temperature setting value fuzzy set to which the input variable temperature setting value belongs is MD (moderate temperature), and the solar collector outlet temperature fuzzy set to which the solar collector outlet temperature belongs is MG (medium temperature), the water pump control signal fuzzy set applied by the output variable water pump control signal is M (medium);

[0043] When the temperature setting value fuzzy set to which the input variable temperature setting value belongs is LD (high temperature) and the solar collector outlet temperature fuzzy set to which the solar collector outlet temperature belongs is LG (high temperature), the water pump control signal fuzzy set applied by the output variable water pump control signal is L (large);

[0044] When the temperature setting value fuzzy set to which the input variable temperature setting value belongs is SD (low temperature) and the solar collector outlet temperature fuzzy set to which the solar collector outlet temperature belongs is NG (low temperature), the water pump control signal fuzzy set applied by the output variable water pump control signal is M (medium);

[0045] When the temperature setting value fuzzy set to which the input variable temperature setting value belongs is MD (moderate temperature), and the solar collector outlet temperature fuzzy set to which the solar collector outlet temperature belongs is MG (medium temperature), the water pump control signal fuzzy set applied by the output variable water pump control signal is L (large);

[0046] When the temperature setting value fuzzy set to which the input variable temperature setting value belongs is LD (high temperature) and the solar collector outlet temperature fuzzy set to which the solar collector outlet temperature belongs is LG (high temperature), the pump control signal fuzzy set applied by the output variable water pump control signal is VL (very large).

[0047] In one aspect of the present disclosure, a fuzzy control device for a partially variable frequency solar-ground source heat pump heating system is provided, comprising:

[0048] A mathematical model building module is used to build mathematical models of the solar collector, stratified water storage tank, water pump, converging three-way valve, flow distributor, heat pump, and heater in the solar-ground source heat pump heating system based on the solar-ground source heat pump heating system;

[0049] a variable determination module, which establishes subsystems of the solar-ground source heat pump heating system based on the mathematical model, analyzes the logical structure of the subsystems of the solar-ground source heat pump heating system, and determines that the input variables of the solar-ground source heat pump heating system are a temperature set value and a solar collector outlet temperature, and the output variable is a water pump control signal;

[0050] A fuzzy set generation module performs fuzzy processing on the temperature setting value, the input variables of the solar collector outlet temperature, and the output variables of the water pump control signal, respectively, to generate a temperature setting value fuzzy set, a solar collector outlet temperature fuzzy set, and a water pump control signal fuzzy set;

[0051] The fuzzy control module generates fuzzy control rules based on the temperature setting value fuzzy set, the solar collector outlet temperature fuzzy set, and the water pump control signal fuzzy set to achieve partial variable frequency fuzzy control of the solar-ground source heat pump heating system.

[0052] In one aspect of the present disclosure, there is provided an electronic device, comprising:

[0053] processor; and

[0054] A memory having computer-readable instructions stored thereon, wherein the computer-readable instructions, when executed by the processor, implement the method according to any one of the above items.

[0055] In one aspect of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the method according to any one of the above items is implemented.

[0056] The fuzzy control method for a partially variable frequency solar-ground source heat pump heating system in an exemplary embodiment of the present disclosure includes: establishing a mathematical model of the solar-ground source heat pump heating system and determining input variables and output variables; fuzzifying the input variables and output variables to generate corresponding fuzzy sets; generating fuzzy control rules based on the fuzzy sets to achieve partial variable frequency fuzzy control of the solar-ground source heat pump heating system. The present disclosure achieves partial variable frequency control of the solar-ground source heat pump heating system by establishing a mathematical model of the solar-ground source heat pump heating system and designing a corresponding fuzzy control strategy. Under the same operating conditions, the energy consumption of the partial variable frequency system is reduced and the performance coefficient is improved.

[0057] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] The above and other features and advantages of the present disclosure will become more apparent by describing in detail example embodiments thereof with reference to the accompanying drawings.

[0059] Figure 1 A flow chart showing a fuzzy control method for a partially variable frequency solar-ground source heat pump heating system according to an exemplary embodiment of the present disclosure is shown;

[0060] Figures 2A-2D The following is a logic diagram of each subsystem of a partially variable frequency solar-ground source heat pump heating system according to an exemplary embodiment of the present disclosure;

[0061] Figure 3 A schematic diagram of overall control of a working area heating system of a fuzzy control method for a partially variable frequency solar-ground source heat pump heating system according to an exemplary embodiment of the present disclosure is shown;

[0062] Figure 4 A schematic block diagram of a fuzzy control device for a partially variable frequency solar-ground source heat pump heating system according to an exemplary embodiment of the present disclosure is shown;

[0063] Figure 5 A block diagram schematically illustrates an electronic device according to an exemplary embodiment of the present disclosure; and

[0064] Figure 6 A schematic diagram schematically illustrates a computer-readable storage medium according to an exemplary embodiment of the present disclosure. DETAILED DESCRIPTION

[0065] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be embodied in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concepts of the example embodiments to those skilled in the art. Like reference numerals in the drawings represent like or similar parts, and thus repetitive description thereof will be omitted.

[0066] In addition, the described features, structures or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure can be practiced without one or more of the specific details, or other methods, components, materials, devices, steps, etc. can be adopted. In other cases, well-known structures, methods, devices, implementations, materials or operations are not shown or described in detail to avoid obscuring various aspects of the present disclosure.

[0067] The blocks shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically separate entities. Specifically, these functional entities may be implemented in software, or in one or more software-hardened modules, or in different networks and / or processor devices and / or microcontroller devices.

[0068] In this exemplary embodiment, a fuzzy control method for a partially variable frequency solar-ground source heat pump heating system is first provided; Figure 1 As shown in , the fuzzy control method of the partially variable frequency solar-ground source heat pump heating system may include the following steps:

[0069] Step S110, based on the solar-ground source heat pump heating system, respectively establish mathematical models of the solar collector, stratified water storage tank, water pump, converging three-way valve, flow distributor, heat pump, and heater in the solar-ground source heat pump heating system;

[0070] Step S120, establishing the subsystems of the solar-ground source heat pump heating system based on the mathematical model, analyzing the logical structure of the subsystems of the solar-ground source heat pump heating system, determining that the input variables of the solar-ground source heat pump heating system are the temperature set value and the solar collector outlet temperature, and the output variable is the water pump control signal;

[0071] Step S130, fuzzifying the temperature setting value, the input variables of the solar collector outlet temperature, and the output variables of the water pump control signal to generate a temperature setting value fuzzy set, a solar collector outlet temperature fuzzy set, and a water pump control signal fuzzy set;

[0072] Step S140 , generating fuzzy control rules based on the temperature setting value fuzzy set, the solar collector outlet temperature fuzzy set, and the water pump control signal fuzzy set, to implement partial variable frequency fuzzy control of the solar-ground source heat pump heating system.

[0073] The fuzzy control method for a partially variable frequency solar-ground source heat pump heating system in an exemplary embodiment of the present disclosure includes: establishing a mathematical model of the solar-ground source heat pump heating system and determining input variables and output variables; fuzzifying the input variables and output variables to generate corresponding fuzzy sets; generating fuzzy control rules based on the fuzzy sets to achieve partial variable frequency fuzzy control of the solar-ground source heat pump heating system. The present disclosure achieves partial variable frequency control of the solar-ground source heat pump heating system by establishing a mathematical model of the solar-ground source heat pump heating system and designing a corresponding fuzzy control strategy. Under the same operating conditions, the energy consumption of the partial variable frequency system is reduced and the performance coefficient is improved.

[0074] The fuzzy control method for the partially variable frequency solar-ground source heat pump heating system in this exemplary embodiment will be further described below.

[0075] In step S110, based on the solar-ground source heat pump heating system, mathematical models of the solar collector, stratified water storage tank, water pump, converging three-way valve, flow distributor, heat pump, and heater in the solar-ground source heat pump heating system can be established respectively.

[0076] In this example embodiment, mathematical models of various parts of the working district heating system are constructed:

[0077] 1) Mathematical model of solar collector

[0078] A solar thermal collector is an energy collection device that collects light radiation energy and converts it into heat energy. If classified according to whether there is a vacuum space inside the solar thermal collector, it is mainly divided into two categories: vacuum tube solar thermal collectors and flat plate solar thermal collectors. Based on the first law of thermodynamics, both use heat collection efficiency as an important indicator for evaluating the performance of solar thermal collectors. The efficiency is expressed as follows:

[0079]

[0080] Where: H T is the solar radiation flux, W / m 2;T p is the average temperature of the solar collector, °C; T a is the ambient temperature, °C; U L is the heat loss coefficient, W / (m 2 ·℃); α is the absorptivity of the heat absorbing plate to solar radiation; τ is the transmittance of the heat absorbing plate to solar radiation; F is the heat collection efficiency factor; η c is the thermal efficiency of the solar collector.

[0081] The steady-state model of the solar thermal collection system is expressed as:

[0082] P=η c NA c H T =M0c w (T i -T o ) (2)

[0083] Where: P is the output power of the solar collector, W; η c is the thermal efficiency of the solar collector; N is the number of solar collectors in operation; A c is the heat collection area, m 2 ; M0 is the water flow rate in the solar collector system, kg / s; c w is the specific heat capacity of water, kJ / (kg·℃); T i and T o are the water inlet temperature and outlet temperature of the hot water tank, ℃ respectively.

[0084] 2) Mathematical model of stratified heat storage tank

[0085] A stratified heat storage tank is a heat storage device that can store excess heat while maintaining the working medium temperature within a reasonable range on both the heating and load sides. Depending on the heat transfer medium, there are three heat storage methods for heat storage tanks: sensible heat storage, phase change heat storage, and chemical heat storage. The most common heat transfer medium is water. Due to the thermal pressure difference, high-temperature, low-density water rises while low-temperature, high-density water falls. At this time, a stratified phenomenon occurs in the heat storage tank, with the upper layer having a high temperature and the lower layer having a low temperature. This helps improve the heating performance of the system and increase heat utilization. If the heat transfer medium inside the heat storage tank is evenly mixed, the energy balance equation is:

[0086]

[0087] Where Q u Heat supply to solar collector, kW; Q r is the energy supplied to the load side, kW; T s is the average temperature of the hot water tank, ℃; M is the mass of the hot water, kg; C pis the constant pressure specific heat capacity of water, kJ / (kg·℃); U is the average heat loss coefficient of the water tank, W / (m 2 ·K); A is the outer surface area of the water tank, m 2 Among them, Q u -Q r Supply heat to the water tank for the solar collector; (UA) s (T s -T a ) is the heat loss of the hot water tank.

[0088] 3) Water pump mathematical model

[0089] Water pumps are essential circulation equipment in HVAC systems. They primarily receive control signals from a controller, determine and adjust their own speed, and thus regulate output flow to meet fluctuating load demands. Water pumps can be categorized by frequency into two types: fixed-frequency pumps and variable-frequency pumps. Fixed-frequency pumps have a fixed speed, consume a lot of energy, and have a significant impact on energy consumption. Variable-frequency pumps, on the other hand, have variable speeds and lower energy consumption, depending on load. They are a major trend in circulation systems in today's industrial and agricultural sectors.

[0090] Motor speed:

[0091]

[0092] In the formula: n is the speed of the water pump motor (r / min); s is the slip rate of the motor; f is the frequency of the alternating current (Hz); p is the number of pole pairs of the motor.

[0093] The relationship between the power, flow, head and speed of the variable frequency water pump during operation is:

[0094]

[0095]

[0096]

[0097] In the formula: P is the pump power, kW; n is the speed of the pump motor, (r / min); h is the pump head; q is the flow rate, kg / h.

[0098] Effective power equation of variable frequency water pump:

[0099]

[0100] Where: P e is the effective power of the variable frequency water pump, kW; ρ is the fluid density of the heat transfer medium, kg / m 3 ; g is the acceleration due to gravity, m / s 2 .

[0101] Energy consumption equation of variable frequency water pump:

[0102]

[0103] Where: f0 is the power frequency, Hz; P n is the inverter power, kW.

[0104] 4) Mathematical model of converging three-way valve

[0105] The converging three-way valve is a temperature regulating valve with functions such as shutoff, regulation, diversion, backflow prevention, pressure stabilization and converging. It has two inlets and one outlet, which can mix the cold working medium and the hot working medium and output them to obtain an important component that meets the load demand temperature.

[0106] The relationship equation between flow rate and temperature:

[0107]

[0108]

[0109]

[0110] Where: T is the working fluid temperature, °C; is the mass flow rate of heat transfer medium, kg / h; fv is the flow velocity of heat transfer medium, m / s.

[0111] 5) Flow distributor

[0112] The flow distributor is an important component that changes the inlet heat transfer medium and the outlet heat transfer medium flow rate by changing the valve opening to meet the load demand temperature.

[0113] T 1，2 =T i (13)

[0114]

[0115] fv 1，2 =fv i (15)

[0116]

[0117] Where: i is the flow distributor inlet; 1, 2 are the flow distributor outlets; r f is the distribution coefficient.

[0118] 6) Mathematical model of buried pipe

[0119]

[0120] Where: x is the axial distance of the buried pipe, m; t is the time, s; p g is the cross-sectional perimeter of the buried pipe, m; h w is the convection heat transfer coefficient between the fluid and the tube wall, W / (m 2 ·K);ρ w is the fluid density, kg / m 3 ; A g is the cross-sectional area of the buried pipe, m 2 ;c w is the constant pressure specific heat of the fluid, kJ / (kg·K); T is the temperature, K.

[0121] 7) Heat pump mathematical model

[0122]

[0123] Q absorption =Q heat -P comp (19)

[0124]

[0125] Where: h out is the condenser outlet enthalpy, kJ / h; h in is the condenser inlet enthalpy, kJ / h; Q absorption is the energy absorbed by the heat pump, kJ / h; Q heat is the total heating power of the heat pump, kJ / h; P comp is the compressor power, kJ / h; COP is the equipment performance coefficient.

[0126] 8) Heater mathematical model

[0127] Q need＝ m fluid Cp fluid (T set -T in ) (twenty one)

[0128]

[0129] Where: Cp fluid is the specific heat of the liquid flow, kJ / (kg·K); Q need The energy required to heat the liquid from its entry state to the set temperature, kJ / h; Q max is the equipment capacity, kJ / h; m fluid Mass flow rate of liquid flowing through the heater, kg / h; T in is the temperature of the liquid entering the heater, °C; T ou t is the temperature of the liquid flowing out of the heater, °C; T setis the heater set point temperature, °C.

[0130] In step S120, the subsystems of the solar-ground source heat pump heating system can be established based on the mathematical model, the logical structure of the subsystems of the solar-ground source heat pump heating system can be analyzed, and it can be determined that the input variables of the solar-ground source heat pump heating system are the temperature set value and the solar collector outlet temperature, and the output variable is the water pump control signal.

[0131] In the embodiment of this example, the subsystem of establishing the solar-ground source heat pump heating system based on the mathematical model includes:

[0132] The solar heating subsystem includes a solar collector, a heat storage tank, and a water pump. The control signals are the outlet temperature of the solar collector and the outlet temperature of the heat transfer medium in the heat storage tank.

[0133] The ground source heat pump heating subsystem includes a heat pump, a U-shaped buried pipe, a water pump, and a hot water storage tank. The control signal is the outlet temperature of the heat transfer medium in the hot water storage tank and the temperature of the heat exchange medium in the hot water storage tank.

[0134] The heater heating subsystem includes a heat storage tank, a water pump, and auxiliary heating equipment. The control signal is the heat exchange medium temperature of the heat storage tank and the temperature set value;

[0135] The working area circulating heating subsystem includes a hot water storage tank, a water pump, and a working area. The control signal includes a temperature setting value and a water pump control signal.

[0136] In the embodiment of this example, the working area heating system mainly consists of four parts: a solar heating system, a ground source heat pump heating system, a heater heating system and a building circulation heating system.

[0137] 1) Solar heating system

[0138] Figure 2A This is the logical topology of a solar heating system, primarily composed of a solar collector, a heat storage tank, and a water pump. The controller collects data from the outlet temperatures of the heat transfer medium from the solar collector and the heat storage tank, performs a logical difference calculation, and uses the resulting 0 / 1 signal to start and stop the water pump, thereby circulating the heat transfer medium in the system to provide heat.

[0139] 2) Ground source heat pump heating system

[0140] Figure 2BThis is the logical topology of a geothermal heat pump heating system, primarily composed of a heat pump, U-shaped buried pipes, a water pump, and a hot water storage tank. The controller inputs two types of data: the heat transfer medium temperature and the desired temperature. The controller calculates a 0 / 1 signal to start and stop the water pump, circulating the heat transfer medium on the geothermal source side, converting the heat in the heat pump and transferring it to the heat transfer medium on the side requiring heat exchange.

[0141] 3) Heater heating system

[0142] Figure 2C This is the logical topology of the heater heating system, consisting of a heat storage tank, a water pump, and auxiliary heating equipment. The main controller receives two signals: the required heat transfer medium temperature and the desired temperature of the heat storage tank. After internal calculation, it outputs control signals to simultaneously control the start and stop of the water pump and auxiliary heating equipment, heating the heat transfer medium and circulating it within the system.

[0143] 4) Working area circulation heating system

[0144] Figure 2D This is the logical topology of the circulating heating system for the work area, consisting of a heat storage tank, a water pump, and a work area. The setpoint air temperature in the work area, along with feedback on the actual air temperature, is fed into the controller. The controller then calculates a signal to start and stop the water pump, facilitating the transfer of heat transfer fluid from the heat storage tank into the building's floor heating pipes. After heat exchange, the fluid is then pumped back to the heat storage tank for further heating, achieving the goal of circulating heating.

[0145] In step S130, the temperature setting value, the input variable of the solar collector outlet temperature, and the output variable of the water pump control signal can be fuzzy processed respectively to generate a temperature setting value fuzzy set, a solar collector outlet temperature fuzzy set, and a water pump control signal fuzzy set.

[0146] In the embodiment of this example, when using a fuzzy controller, the most important thing is to determine the input and output signals of the controller. The heating system is in a variable flow condition. The input signals of the fuzzy controller are the system temperature setting value and the working medium temperature at the outlet of the solar collector. The output signal is the control signal of the variable frequency water pump. When the fuzzy controller detects the input signal, it first performs fuzzification processing on it, and then performs fuzzy reasoning based on the designed fuzzy rules, and then performs defuzzification processing to obtain the specific output control signal of the variable frequency water pump, and then adjusts the speed of the variable frequency water pump to obtain different outlet working medium flow rates. The overall heating control system is as follows Figure 3 shown.

[0147] In the embodiment of this example, the method of fuzzifying the temperature setting value to generate a temperature setting value fuzzy set further includes:

[0148] The temperature setting value is fuzzified based on the triangular membership function to generate three fuzzy sets: SD (low temperature), MD (moderate temperature), and LD (high temperature). The value range is [65, 80]. The membership function is as follows:

[0149]

[0150]

[0151]

[0152] Where x is the temperature setting value.

[0153] In the embodiment of this example, the method of fuzzifying the solar collector outlet temperature to generate a solar collector outlet temperature fuzzy set further includes:

[0154] The outlet temperature of the solar collector is fuzzified based on the triangular membership function to generate three fuzzy sets: NG (low temperature), MG (medium temperature), LG (high temperature), with a value range of [-5, 95]. The membership function is as follows:

[0155]

[0156]

[0157]

[0158] Where y is the outlet temperature of the solar collector.

[0159] In the embodiment of this example, the method of fuzzifying the water pump control signal to generate a water pump control signal fuzzy set further includes:

[0160] The water pump control signal is fuzzified based on the triangular membership function to generate five fuzzy sets: VS (very small), S (small), M (medium), L (large), VL (very large), with a value range of [0,1]. The membership function is as follows:

[0161]

[0162]

[0163]

[0164]

[0165]

[0166] Among them, z is the water pump control signal.

[0167] In step S140, fuzzy control rules can be generated based on the temperature setting value fuzzy set, the solar collector outlet temperature fuzzy set, and the water pump control signal fuzzy set to implement partial variable frequency fuzzy control of the solar-ground source heat pump heating system.

[0168] In the embodiment of this example, the fuzzy control rules generated in the method based on the temperature setting value fuzzy set, the solar collector outlet temperature fuzzy set, and the water pump control signal fuzzy set are:

[0169] When the temperature setting value fuzzy set to which the input variable temperature setting value belongs is SD (low temperature) and the solar collector outlet temperature fuzzy set to which the solar collector outlet temperature belongs is NG (low temperature), the water pump control signal fuzzy set applied by the output variable water pump control signal is VS (very small);

[0170] When the temperature setting value fuzzy set to which the input variable temperature setting value belongs is MD (moderate temperature), and the solar collector outlet temperature fuzzy set to which the solar collector outlet temperature belongs is MG (medium temperature), the water pump control signal fuzzy set applied by the output variable water pump control signal is M (medium);

[0171] When the temperature setting value fuzzy set to which the input variable temperature setting value belongs is LD (high temperature) and the solar collector outlet temperature fuzzy set to which the solar collector outlet temperature belongs is LG (high temperature), the water pump control signal fuzzy set applied by the output variable water pump control signal is L (large);

[0172] When the temperature setting value fuzzy set to which the input variable temperature setting value belongs is SD (low temperature) and the solar collector outlet temperature fuzzy set to which the solar collector outlet temperature belongs is NG (low temperature), the water pump control signal fuzzy set applied by the output variable water pump control signal is S (small);

[0173] When the temperature setting value fuzzy set to which the input variable temperature setting value belongs is MD (moderate temperature), and the solar collector outlet temperature fuzzy set to which the solar collector outlet temperature belongs is MG (medium temperature), the water pump control signal fuzzy set applied by the output variable water pump control signal is M (medium);

[0174] When the temperature setting value fuzzy set to which the input variable temperature setting value belongs is LD (high temperature) and the solar collector outlet temperature fuzzy set to which the solar collector outlet temperature belongs is LG (high temperature), the water pump control signal fuzzy set applied by the output variable water pump control signal is L (large);

[0175] When the temperature setting value fuzzy set to which the input variable temperature setting value belongs is SD (low temperature) and the solar collector outlet temperature fuzzy set to which the solar collector outlet temperature belongs is NG (low temperature), the water pump control signal fuzzy set applied by the output variable water pump control signal is M (medium);

[0176] When the temperature setting value fuzzy set to which the input variable temperature setting value belongs is MD (moderate temperature), and the solar collector outlet temperature fuzzy set to which the solar collector outlet temperature belongs is MG (medium temperature), the water pump control signal fuzzy set applied by the output variable water pump control signal is L (large);

[0177] When the temperature setting value fuzzy set to which the input variable temperature setting value belongs is LD (high temperature) and the solar collector outlet temperature fuzzy set to which the solar collector outlet temperature belongs is LG (high temperature), the pump control signal fuzzy set applied by the output variable water pump control signal is VL (very large).

[0178] In the embodiment of this example, the fuzzy controller rules can be expressed as Table 1:

[0179] Table 1 Fuzzy control rules table

[0180]

[0181] In this exemplary embodiment, based on the comparison of the total energy consumption of heat pumps during the heating period of the present disclosure, the total energy consumption of all water pumps under the control of the conventional temperature difference controller is approximately 52.5KWh per day, while the total energy consumption of all water pumps under the partial fuzzy control is approximately 47.5KWh per day. The energy consumption of water pumps can be reduced by 9.5% per day. This is because under the same operating conditions, when the fixed frequency system is given a control signal, the unit outlet water temperature is fixed. When the temperature changes, the speed remains unchanged and often runs at full speed, resulting in energy waste. The variable frequency system, on the other hand, can change the flow rate according to the required temperature, thereby controlling the water pump speed to freely change between zero and rated speed according to demand, reducing system energy consumption and saving resources and financial resources.

[0182] It should be noted that although the steps of the method disclosed herein are depicted in a particular order in the accompanying drawings, this does not require or imply that the steps must be performed in that particular order, or that all steps must be performed to achieve the desired result. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one, and / or one step may be decomposed into multiple steps.

[0183] In addition, in this exemplary embodiment, a fuzzy control device for a partially variable frequency solar-ground source heat pump heating system is also provided. Figure 4As shown, the fuzzy control device 400 for the partially variable frequency solar-ground source heat pump heating system may include: a mathematical model building module 410, a variable determination module 420, a fuzzy set generation module 430 and a fuzzy control module 440. Among them:

[0184] A mathematical model building module 410 is used to build mathematical models of the solar collector, stratified water storage tank, water pump, converging three-way valve, flow distributor, heat pump, and heater in the solar-ground source heat pump heating system based on the solar-ground source heat pump heating system;

[0185] a variable determination module 420 for establishing subsystems of the solar-ground source heat pump heating system based on the mathematical model, analyzing the logical structure of the subsystems of the solar-ground source heat pump heating system, and determining that the input variables of the solar-ground source heat pump heating system are a temperature set value and a solar collector outlet temperature, and that the output variable is a water pump control signal;

[0186] The fuzzy set generation module 430 performs fuzzy processing on the temperature setting value, the input variables of the solar collector outlet temperature, and the output variables of the water pump control signal, respectively, to generate a temperature setting value fuzzy set, a solar collector outlet temperature fuzzy set, and a water pump control signal fuzzy set;

[0187] The fuzzy control module 440 generates fuzzy control rules based on the temperature setting value fuzzy set, the solar collector outlet temperature fuzzy set, and the water pump control signal fuzzy set to implement partial variable frequency fuzzy control of the solar-ground source heat pump heating system.

[0188] The specific details of the fuzzy control device modules of the above-mentioned partially variable frequency solar-ground source heat pump heating system have been described in detail in the corresponding fuzzy control method of the partially variable frequency solar-ground source heat pump heating system, so they will not be repeated here.

[0189] It should be noted that although the above detailed description mentions several modules or units of the fuzzy control device 400 for a partially variable frequency solar-ground source heat pump heating system, this division is not mandatory. In fact, according to embodiments of the present disclosure, the features and functions of two or more modules or units described above can be embodied in a single module or unit. Conversely, the features and functions of a single module or unit described above can be further divided and embodied by multiple modules or units.

[0190] In addition, in an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.

[0191] Those skilled in the art will appreciate that various aspects of the present invention may be implemented as systems, methods, or program products. Accordingly, various aspects of the present invention may be implemented as a complete hardware embodiment, a complete software embodiment (including firmware, microcode, etc.), or a combination of hardware and software embodiments, which may be collectively referred to herein as "circuits," "modules," or "systems."

[0192] Refer to the following Figure 5 An electronic device 500 according to such an embodiment of the present invention will be described. Figure 5 The electronic device 500 shown is merely an example and should not limit the functions and scope of use of the embodiments of the present invention.

[0193] like Figure 5 As shown, electronic device 500 is implemented as a general-purpose computing device. Components of electronic device 500 may include, but are not limited to, the aforementioned at least one processing unit 510, the aforementioned at least one storage unit 520, a bus 530 connecting various system components (including storage unit 520 and processing unit 510), and a display unit 540.

[0194] The storage unit stores program codes, which can be executed by the processing unit 510, so that the processing unit 510 performs the steps according to various exemplary embodiments of the present invention described in the above “Exemplary Method” section of this specification. For example, the processing unit 510 can perform the following steps: Figure 1 Steps S110 to S140 shown in FIG.

[0195] The storage unit 520 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 5201 and / or a cache memory unit 5202 , and may further include a read-only memory unit (ROM) 5203 .

[0196] The storage unit 520 may also include a program / utility 5204 having a set (at least one) of program modules 5203, such program modules 5205 including but not limited to: an operating system, one or more application programs, other program modules and program data, each of which or some combination may include an implementation of a network environment.

[0197] Bus 550 may represent one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0198] The electronic device 500 can also communicate with one or more external devices 570 (e.g., a keyboard, a pointing device, a Bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 500, and / or any device that enables the electronic device 500 to communicate with one or more other computing devices (e.g., a router, a modem, etc.). Such communication can occur via an input / output (I / O) interface 550. Furthermore, the electronic device 500 can communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network such as the Internet) via a network adapter 560. As shown, the network adapter 560 communicates with other modules of the electronic device 500 via the bus 550. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with the electronic device 500, including but not limited to microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0199] Through the description of the above embodiments, it is easy for those skilled in the art to understand that the example embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes a number of instructions to enable a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.

[0200] In exemplary embodiments of the present disclosure, a computer-readable storage medium is also provided, storing a program product capable of implementing the aforementioned methods of this specification. In some possible embodiments, various aspects of the present invention may also be implemented in the form of a program product comprising program code. When the program product is executed on a terminal device, the program code is configured to cause the terminal device to perform the steps according to various exemplary embodiments of the present invention described in the "Exemplary Methods" section of this specification.

[0201] refer to Figure 6 , a program product 600 for implementing the above-described method according to an embodiment of the present invention is described. The program product 600 may be a portable compact disc read-only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited thereto. In this document, a readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0202] The program product may be implemented in any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or component, or any combination thereof. More specific examples (a non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0203] A computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A readable signal medium may also be any readable medium other than a readable storage medium that can transmit, propagate, or transfer a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0204] The program code embodied on the readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0205] The program code for performing the operations of the present invention may be written in any combination of one or more programming languages, including object-oriented programming languages such as Java, C++, and the like, as well as conventional procedural programming languages such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a stand-alone software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In cases involving a remote computing device, the remote computing device may be connected to the user computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0206] Furthermore, the figures above are merely illustrative of the processes included in the method according to exemplary embodiments of the present invention and are not intended to be limiting. It is readily understood that the processes illustrated in the figures above do not indicate or limit the temporal order of these processes. Furthermore, it is readily understood that these processes may be executed synchronously or asynchronously, for example, in multiple modules.

[0207] Other embodiments of the present disclosure will readily occur to those skilled in the art after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow from the general principles of the present disclosure and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, with the true scope and spirit of the present disclosure being indicated by the claims.

[0208] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes can be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A fuzzy control method for a partially variable frequency solar-ground source heat pump heating system, characterized in that: The method comprises: Based on the solar-ground source heat pump heating system, mathematical models of the solar collector, stratified water storage tank, water pump, converging three-way valve, flow distributor, heat pump, and heater in the solar-ground source heat pump heating system are established respectively; The subsystems of the solar-ground source heat pump heating system are established based on the mathematical model, and the logical structure of the subsystems of the solar-ground source heat pump heating system is analyzed to determine that the input variables of the solar-ground source heat pump heating system are the temperature set value and the solar collector outlet temperature, and the output variable is the water pump control signal; the subsystems of the solar-ground source heat pump heating system established based on the mathematical model include: a solar heating subsystem, including a solar collector, a heat storage tank, and a water pump, and the control signal is the solar collector outlet temperature and the heat transfer medium outlet temperature of the heat storage tank; a ground source heat pump heating subsystem, including a heat pump, a U-shaped buried pipe, a water pump, and a heat storage tank, and the control signal is the heat transfer medium outlet temperature of the heat storage tank and the heat transfer medium temperature of the heat storage tank; a heater heating subsystem, including a heat storage tank, a water pump, and an auxiliary heating device, and the control signal is the heat transfer medium temperature of the heat storage tank and the temperature set value; a working area circulation heating subsystem, including a heat storage tank, a water pump, and a working area, and the control signal includes a temperature set value and a water pump control signal; The temperature setting value, the input variable of the solar collector outlet temperature, and the output variable of the water pump control signal are fuzzy processed to generate a temperature setting value fuzzy set, a solar collector outlet temperature fuzzy set, and a water pump control signal fuzzy set; wherein: The fuzzy processing of the temperature setting value to generate the temperature setting value fuzzy set includes: performing fuzzy processing on the temperature setting value based on a triangular membership function to generate three fuzzy sets: SD (low temperature), MD (moderate temperature), and LD (high temperature), with a value range of [65, 80]. The membership function is as follows: Where x is the temperature setting value; The fuzzy processing of the solar collector outlet temperature to generate the solar collector outlet temperature fuzzy set also includes: The outlet temperature of the solar collector is fuzzified based on the triangular membership function to generate three fuzzy sets: NG (low temperature), MG (medium temperature), LG (high temperature), with a value range of [-5, 95]. The membership function is as follows: Where y is the outlet temperature of the solar collector; The fuzzy processing of the water pump control signal to generate the water pump control signal fuzzy set further comprises: The water pump control signal is fuzzified based on the triangular membership function to generate five fuzzy sets: VS (very small), S (small), M (medium), L (large), VL (very large), with a value range of [0,1]. The membership function is as follows: Among them, z is the water pump control signal; Fuzzy control rules are generated based on the temperature setting value fuzzy set, the solar collector outlet temperature fuzzy set, and the water pump control signal fuzzy set. The fuzzy control rules are: When the temperature setting value fuzzy set to which the input variable temperature setting value belongs is SD (low temperature) and the solar collector outlet temperature fuzzy set to which the solar collector outlet temperature belongs is NG (low temperature), the water pump control signal fuzzy set applied by the output variable water pump control signal is VS (very small); When the temperature setting value fuzzy set to which the input variable temperature setting value belongs is MD (moderate temperature), and the solar collector outlet temperature fuzzy set to which the solar collector outlet temperature belongs is MG (medium temperature), the water pump control signal fuzzy set applied by the output variable water pump control signal is M (medium); When the temperature setting value fuzzy set to which the input variable temperature setting value belongs is LD (high temperature) and the solar collector outlet temperature fuzzy set to which the solar collector outlet temperature belongs is LG (high temperature), the water pump control signal fuzzy set applied by the output variable water pump control signal is L (large); When the temperature setting value fuzzy set to which the input variable temperature setting value belongs is SD (low temperature) and the solar collector outlet temperature fuzzy set to which the solar collector outlet temperature belongs is NG (low temperature), the water pump control signal fuzzy set applied by the output variable water pump control signal is S (small); When the temperature setting value fuzzy set to which the input variable temperature setting value belongs is MD (moderate temperature), and the solar collector outlet temperature fuzzy set to which the solar collector outlet temperature belongs is MG (medium temperature), the water pump control signal fuzzy set applied by the output variable water pump control signal is M (medium); When the temperature setting value fuzzy set to which the input variable temperature setting value belongs is LD (high temperature) and the solar collector outlet temperature fuzzy set to which the solar collector outlet temperature belongs is LG (high temperature), the water pump control signal fuzzy set applied by the output variable water pump control signal is L (large); When the temperature setting value fuzzy set to which the input variable temperature setting value belongs is SD (low temperature) and the solar collector outlet temperature fuzzy set to which the solar collector outlet temperature belongs is NG (low temperature), the water pump control signal fuzzy set applied by the output variable water pump control signal is M (medium); When the temperature setting value fuzzy set to which the input variable temperature setting value belongs is MD (moderate temperature), and the solar collector outlet temperature fuzzy set to which the solar collector outlet temperature belongs is MG (medium temperature), the water pump control signal fuzzy set applied by the output variable water pump control signal is L (large); When the temperature setting value fuzzy set to which the input variable temperature setting value belongs is LD (high temperature), and the solar collector outlet temperature fuzzy set to which the solar collector outlet temperature belongs is LG (high temperature), the water pump control signal fuzzy set applied by the output variable water pump control signal is VL (very large); Based on the fuzzy control rules, partial variable frequency fuzzy control of the solar-ground source heat pump heating system is implemented.

2. A fuzzy control device for a partially variable frequency solar-ground source heat pump heating system, characterized in that: The device comprises: A mathematical model building module is used to build mathematical models of the solar collector, stratified water storage tank, water pump, converging three-way valve, flow distributor, heat pump, and heater in the solar-ground source heat pump heating system based on the solar-ground source heat pump heating system; a variable determination module, which establishes subsystems of the solar-ground source heat pump heating system based on the mathematical model, analyzes the logical structure of the subsystems of the solar-ground source heat pump heating system, and determines that the input variables of the solar-ground source heat pump heating system are a temperature set value and a solar collector outlet temperature, and the output variable is a water pump control signal; A fuzzy set generation module performs fuzzy processing on the temperature setting value, the input variables of the solar collector outlet temperature, and the output variables of the water pump control signal, respectively, to generate a temperature setting value fuzzy set, a solar collector outlet temperature fuzzy set, and a water pump control signal fuzzy set; The fuzzy control module generates fuzzy control rules based on the temperature setting value fuzzy set, the solar collector outlet temperature fuzzy set, and the water pump control signal fuzzy set to achieve partial variable frequency fuzzy control of the solar-ground source heat pump heating system.

3. An electronic device, characterized in that: include processor; and A memory having computer-readable instructions stored thereon, wherein the computer-readable instructions implement the method according to claim 1 when executed by the processor.

4. A computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the method according to claim 1 when executed by a processor.

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