A coupled hydrogen energy heat pump intelligent adaptive system and device

Abstract

The present invention relates to the field of hydrogen energy storage adaptation, and in particular to an intelligent adaptive system and device coupled to a hydrogen energy heat pump. By dynamically adjusting the cleaning frequency of the evaporator, the system effectively reduces heat conduction losses caused by fouling, ensuring that the evaporator is always in an efficient operating state. Compared with traditional hydrogen energy heat pumps, the system accelerates the efficiency of hydrogen fuel cells in converting hydrogen energy into electrical energy to drive the heat pump, significantly improving the operating efficiency of the heat pump, enabling the heat pump to flexibly adjust its operating state according to actual operating conditions, ensuring that the heat pump can maintain efficient operation in different seasons and environmental conditions, avoiding efficiency losses in traditional fixed parameter operating modes, and further enhancing the adaptability and flexibility of the heat pump.

Description

Technical Field

[0001] The present invention relates to the field of hydrogen energy storage adaptation, and in particular to an intelligent adaptation system and device coupled with a hydrogen energy heat pump. Background Art

[0002] Traditional heat pump systems face numerous operational challenges, particularly when operating under highly variable environmental conditions, which can significantly impact their performance and efficiency. For example, the evaporator surface is susceptible to contaminants such as airborne particles, dust, and oil, forming a fouling layer. This fouling layer significantly reduces the evaporator's evaporation efficiency, increases the heat pump's energy consumption, reduces its operating efficiency, and can even cause failure.

[0003] Traditional heat pump systems typically employ fixed operating parameters and cleaning strategies, unable to dynamically adjust to environmental conditions and equipment status. This fixed operating model not only fails to adapt to environmental changes but can also lead to over- or under-cleaning, increasing heat pump wear and energy consumption, and reducing overall efficiency and service life.

[0004] Chinese Patent Authorization Announcement No.: CN110280031B discloses a heat pump evaporator comprising two base plates, one of which is provided with a first shell above the base plates, ventilation components provided on both sides of the first shell, a first shell cover provided above the first shell, a box body fixed below the connecting ring, a cover plate provided above the tank body, an annular tube placed within the tank body, one end of the annular tube connected to a compressor, the other end of the annular tube connected to a filter component, the other side of the filter component connected to an expansion valve, the expansion valve connected to another main pipe, inlet and outlet pipes provided on both sides of the tank body, and a drainage component provided on one side of the tank body. This device is rationally designed and easy to operate. The through-holes cooperate with the box body to achieve better heat dissipation, enabling the device to operate normally and convenient for people to use.

[0005] Chinese Patent Authorization Announcement No.: CN110388767B discloses an air source heat pump evaporator and an air source heat pump, which are used to solve the problems in the prior art of the rapid frost formation speed on the fin surface of the air source heat pump evaporator, the rapid frost layer blocking the channel, and the short defrost cycle. The air source heat pump evaporator includes a refrigerant pipe and a plurality of fins mounted in series on the refrigerant pipe. The design method is to design a guiding structure on the windward side of the fin that can guide the water vapor in the air to liquefy rather than condense, so that the water vapor in the air freezes instead of frosts, so as to achieve the purpose of extending the defrost cycle, reducing defrost energy consumption, and improving the overall performance of the unit. The defrost cycle of the air source heat pump evaporator of the present invention under the same working conditions and defrost conditions is about three times the original one, which greatly extends the defrost cycle and improves the working efficiency of the air source heat pump. The invention has a simple and reasonable structure, low cost, is easy to implement, and has no effect on the normal operation of the system.

[0006] However, the above method has the following problems: the evaporator cannot be intelligently regulated according to the season, resulting in low efficiency of the heat pump. Summary of the Invention

[0007] To this end, the present invention provides a coupled hydrogen energy heat pump intelligent adaptive system and device to overcome the problem in the prior art that the evaporator cannot be intelligently controlled according to the season, resulting in low efficiency of the heat pump.

[0008] To achieve the above objectives, the present invention provides a coupled hydrogen energy heat pump intelligent adaptive system for monitoring multiple evaporators in the heat pump, comprising:

[0009] an air quality sensing module configured to collect a concentration of particulate matter in the air in real time and, in response to the concentration of particulate matter exceeding a concentration threshold, trigger a dirt layer thickness detection, wherein the concentration threshold is related to the air quality status and pollution source characteristics of the area where the evaporator is located;

[0010] a dirt thickness detection module, connected to the air quality sensing module, for detecting the thickness of the dirt layer on the surface of the evaporator;

[0011] an evaporation efficiency calculation module, connected to the dirt thickness detection module, for calculating the evaporation efficiency of the evaporator according to the thickness of the dirt layer, and determining whether the evaporation efficiency meets the qualified standard;

[0012] An optimization configuration module is connected to the evaporation efficiency calculation module and is used to adjust the cleaning frequency of the evaporator in response to the evaporation efficiency failing to meet the qualification standard.

[0013] Furthermore, the air quality sensing module includes:

[0014] a plurality of particulate matter sensors provided together with the evaporator, which are installed in corresponding areas of the evaporator to collect the concentration of the particulate matter in real time;

[0015] a concentration threshold unit, connected to the particulate matter sensor and provided with the concentration threshold, for screening the concentration of the particulate matter according to the concentration threshold;

[0016] A trigger unit is connected to the concentration threshold unit and is used to issue a thickness detection instruction in response to the particle concentration exceeding the concentration threshold.

[0017] Furthermore, the dirt thickness detection module includes:

[0018] a heating unit for heating the surface of the dirt layer;

[0019] a receiving unit connected to the heating unit and disposed at an interface between the dirt layer and the evaporator, for receiving a thermal radiation phase shift signal reflected from the interface;

[0020] A thickness calculation unit is connected to the receiving unit and is used to calculate the time offset of the thermal radiation phase shift signal, thereby calculating the thickness of the dirt layer.

[0021] Furthermore, the receiving units are connected to each other in series via elastic transition pieces, wherein the length of the elastic transition pieces is adjusted in real time according to the distance between the receiving units.

[0022] Furthermore, a thickness standard is provided in the receiving unit. In response to the thickness of the dirt layer exceeding the thickness standard, the distance between adjacent receiving units is shortened to reduce the length of the elastic transition piece. In response to the thickness of the dirt layer not exceeding the thickness standard, the distance between adjacent receiving units remains unchanged. The thickness standard is a critical value for determining whether the thickness of the dirt layer affects the reception of the thermal radiation phase shift signal.

[0023] Furthermore, the evaporation efficiency calculation module includes:

[0024] A model building unit, which is used to build an efficiency calculation model;

[0025] a processing unit connected to the model building unit, configured to cut the dirt layer thickness according to a standard sampling rate to form thickness prediction data, wherein the standard sampling rate is a sampling rate that can be recognized by the efficiency calculation model, and for a single cutting, the corresponding standard sampling rate is a single sampling rate;

[0026] a calculation unit connected to the processing unit, configured to call the efficiency calculation model in response to input of the thickness prediction data, and start a learning process of the efficiency calculation model to obtain evaporation efficiency;

[0027] The issuing unit is connected to the calculation unit and is provided with the qualification standard for screening the evaporation efficiency using the qualification standard.

[0028] Furthermore, building the efficiency calculation model also includes:

[0029] The dirt layer thickness is selected as the input layer of the efficiency calculation model, and the number of hidden layers of the efficiency calculation model is determined to form the efficiency calculation model, wherein the number of hidden layers is adjusted according to the size of the qualification standard.

[0030] Furthermore, screening the evaporation efficiency further includes:

[0031] In response to the evaporation efficiency reaching the qualified standard, current operating parameters are recorded and the cleaning frequency is not adjusted, wherein the operating parameters include the cleaning frequency, operating time and operating temperature.

[0032] Furthermore, the optimization configuration module further includes:

[0033] The difference between the evaporation efficiency and the qualified standard is calculated, and the cleaning frequency is adjusted according to a preset adjustment strategy based on the difference.

[0034] On the other hand, the present invention provides an intelligent adaptive device coupled with a hydrogen energy heat pump for monitoring a plurality of evaporators in the heat pump, characterized by comprising:

[0035] an air quality sensing device configured to collect a concentration of particulate matter in the air in real time and, in response to the concentration of particulate matter exceeding a concentration threshold, trigger a dirt layer thickness detection, wherein the concentration threshold is related to the air quality condition and pollution source characteristics of the area where the evaporator is located;

[0036] a dirt thickness detection device, connected to the air quality sensing device, for detecting the thickness of the dirt layer on the surface of the evaporator;

[0037] an evaporation efficiency calculation device connected to the dirt thickness detection device, for calculating the evaporation efficiency of the evaporator according to the thickness of the dirt layer and determining whether the evaporation efficiency meets the qualified standard;

[0038] An optimization configuration device is connected to the evaporation efficiency calculation device, and is used to adjust the cleaning frequency of the evaporator in response to the evaporation efficiency failing to meet the qualified standard.

[0039] Compared with existing technologies, this invention effectively reduces heat conduction losses caused by fouling by dynamically adjusting the evaporator's cleaning frequency, ensuring the evaporator always operates efficiently. Compared with traditional hydrogen-powered heat pumps, this accelerates the efficiency of hydrogen fuel cells in converting hydrogen energy into electricity to drive the heat pump, significantly improving the heat pump's operating efficiency. This allows the heat pump to flexibly adjust its operating state based on actual operating conditions, ensuring efficient operation across different seasons and environmental conditions. This avoids the efficiency losses associated with traditional fixed-parameter operating modes, further enhancing the heat pump's adaptability and flexibility.

[0040] Furthermore, by installing several particle sensors in the corresponding areas of the evaporator, the system can collect real-time information on particulate matter concentration in the air, ensuring a rapid response to changes in air quality and avoiding the accumulation of dirt caused by delayed detection. Through a precise triggering mechanism, the system only detects dirt thickness and performs cleaning operations when necessary, avoiding the excessive detection and cleaning that can occur with traditional periodic testing and cleaning methods, thereby reducing energy consumption and maintenance costs.

[0041] Furthermore, by heating the surface of the dirt layer through the heating unit and using the receiving unit to receive the thermal radiation phase shift signal reflected from the interface, the thickness calculation unit can accurately calculate the thickness of the dirt layer and provide high-precision measurement results, avoiding errors caused by human judgment or simple detection means in traditional methods. By accurately measuring the dirt thickness, the system can detect dirt accumulation problems in advance and take cleaning measures in time to avoid decreased evaporation efficiency or equipment failure due to excessive dirt thickness.

[0042] Furthermore, by dynamically adjusting the distance between receiving units based on the dirt layer thickness, the thermal radiation phase shift signal is always optimally received, thereby improving the accuracy of dirt thickness measurement. When the dirt layer thickness exceeds the specified thickness, shortening the distance between receiving units reduces attenuation and interference during signal transmission, enhancing signal stability and reliability. This adaptive adjustment mechanism effectively handles large variations in dirt layer thickness and avoids measurement errors caused by a fixed layout.

[0043] Furthermore, by cutting and processing the dirt layer thickness data according to the standard sampling rate, it is possible to ensure that the format and quality of the input data meet the requirements of the efficiency calculation model, thereby improving the accuracy of the evaporation efficiency calculation. The learning process of the efficiency calculation model can be dynamically adjusted according to the input thickness pre-data, further optimizing the calculation results. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 This is a structural diagram of an intelligent adaptive system for coupling a hydrogen energy heat pump according to an embodiment of the present invention;

[0045] Figure 2 This is a schematic diagram of the structure of the air quality sensing module according to an embodiment of the present invention;

[0046] Figure 3 This is a structural diagram of a dirt thickness detection module according to an embodiment of the present invention;

[0047] Figure 4 Schematic diagram of the structure of the evaporation efficiency calculation module according to an embodiment of the present invention. DETAILED DESCRIPTION

[0048] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0049] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0050] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside", and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0051] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0052] See also Figure 1 , which is a schematic structural diagram of an intelligent adaptive system for coupling a hydrogen energy heat pump according to an embodiment of the present invention, and is used to monitor a plurality of evaporators, including:

[0053] an air quality sensing module configured to collect the concentration of particulate matter in the air in real time and, in response to the particulate matter concentration exceeding a concentration threshold, trigger dirt layer thickness detection, wherein the concentration threshold is related to the air quality conditions and pollution source characteristics of the area where the evaporator is located;

[0054] A dirt thickness detection module, which is connected to the air quality sensing module and is used to detect the thickness of the dirt layer on the evaporator surface;

[0055] An evaporation efficiency calculation module, which is connected to the dirt thickness detection module, is used to calculate the evaporation efficiency of the evaporator according to the thickness of the dirt layer and determine whether the evaporation efficiency meets the qualified standard;

[0056] The optimization configuration module is connected to the evaporation efficiency calculation module and is used to adjust the cleaning frequency of the evaporator in response to the evaporation efficiency failing to meet the qualified standard.

[0057] In practice, the heat pump coupled to hydrogen energy of the present invention utilizes a compression-type heat pump structure, primarily consisting of a compressor, condenser, throttling device, and evaporator. The compressor compresses low-temperature, low-pressure refrigerant gas into high-temperature, high-pressure gas. In the condenser, the refrigerant releases heat to the outside world for heating. After being depressurized and cooled by the throttling device, it absorbs ambient heat in the evaporator, completing the refrigerant's circulation. Poor air quality can affect the evaporator's operating efficiency. The present invention ensures efficient operation by adjusting the evaporator's cleaning frequency or operating parameters.

[0058] In a heat pump system, the evaporator is a key component that absorbs heat from the refrigerant. Its primary function is to transfer heat from the environment by evaporating the low-temperature, low-pressure refrigerant liquid. The performance of the evaporator directly impacts the cooling and heating efficiency of the heat pump system. If the evaporator's evaporation efficiency is low, the refrigerant's ability to absorb heat is weakened, resulting in a decrease in the overall performance of the heat pump system and an inability to effectively meet heating or cooling needs.

[0059] The evaporator is the starting point of the heat pump cycle, and its operating condition determines how efficiently the refrigerant releases heat in the subsequent condenser. An efficient evaporator ensures that the refrigerant fully absorbs heat during the evaporation process, allowing it to more effectively release heat to the environment in need of heating in the condenser, thereby improving the energy efficiency of the entire heat pump system.

[0060] Dirt, such as dust, particulate matter, and oil, easily accumulates on the evaporator surface. This dirt forms an insulating layer, increasing thermal resistance and hindering heat transfer from the outside to the refrigerant. For example, when the dirt thickness reaches a certain level, the refrigerant's heat absorption efficiency decreases significantly. According to experimental data, when the dirt thickness increases from 0.3 mm to 0.5 mm, the evaporation efficiency drops from 85% to 75%, and the signal quality also deteriorates significantly. This increase in thermal resistance causes the heat pump system to consume more energy to maintain the same heating or cooling effect, thereby reducing energy efficiency. Dirt not only affects heat transfer but also changes the flow characteristics of the refrigerant within the evaporator. The dirt layer causes uneven refrigerant flow, preventing the refrigerant from fully absorbing heat in certain areas, further reducing evaporation efficiency. By measuring the evaporation efficiency of the evaporator, it is possible to promptly detect the impact of dirt on the flow characteristics and take appropriate cleaning measures to optimize the refrigerant flow and improve evaporation efficiency.

[0061] Measuring the evaporator's evaporation efficiency allows for optimal cleaning frequency. Traditional cleaning methods typically require periodic cleaning, but this approach can be prone to over-cleaning or under-cleaning. By monitoring evaporation efficiency in real time, cleaning is performed only when it falls below acceptable levels. This avoids unnecessary cleaning, reduces equipment wear and energy waste, and ensures the evaporator remains in efficient operation.

[0062] In summary, measuring evaporation efficiency through the evaporator is a key strategy for improving heat pump efficiency. It directly reflects the core performance of the heat pump system, allowing timely identification and resolution of issues affecting efficiency, optimizing cleaning strategies, reducing energy consumption, and adapting to varying operating environments, ultimately achieving efficient and energy-efficient operation of the heat pump system.

[0063] By dynamically adjusting the evaporator cleaning frequency, heat conduction losses caused by fouling are effectively reduced, ensuring the evaporator is always operating efficiently. Compared with traditional hydrogen-powered heat pumps, this accelerates the efficiency of hydrogen fuel cells in converting hydrogen energy into electricity to drive the heat pump, significantly improving the heat pump's operating efficiency. This allows the heat pump to flexibly adjust its operating state based on actual operating conditions, ensuring efficient operation in different seasons and environmental conditions. This avoids the efficiency losses associated with traditional fixed-parameter operating modes, further enhancing the heat pump's adaptability and flexibility.

[0064] See also Figure 2 As shown in FIG, it is a schematic diagram of the structure of the air quality sensing module according to an embodiment of the present invention, including:

[0065] Several particulate matter sensors are provided together with the evaporator and are installed in corresponding areas of the evaporator to collect the concentration of particulate matter in real time;

[0066] a concentration threshold unit, which is connected to the particulate matter sensor and is provided with a concentration threshold for screening the concentration of particulate matter according to the concentration threshold;

[0067] The trigger unit is connected to the concentration threshold unit and is used to respond to the particle concentration exceeding the concentration threshold and issue a thickness detection instruction.

[0068] In practice, several particulate matter sensors are installed in areas corresponding to the size and shape of the evaporator. The number and distribution of sensors should ensure comprehensive coverage of the air environment surrounding the evaporator, avoiding blind spots. Particle matter sensors are installed near the evaporator's air inlet or other areas susceptible to contamination to more accurately collect air quality data related to evaporator operation.

[0069] Particle size sensor Select a high-precision, high-sensitivity particle sensor to ensure real-time monitoring of particulate matter concentration in the air, including common pollutants such as PM2.5 and PM10.

[0070] Concentration thresholds are set based on the air quality and pollution source characteristics of the evaporator's area. For example, in industrial areas with poor air quality, the concentration threshold can be lowered to more sensitively detect changes in particulate matter concentration. Concentration thresholds can be dynamically adjusted through system software. Based on historical data and real-time monitoring results, the system automatically optimizes threshold settings to adapt to varying environmental conditions and operational requirements.

[0071] Preferably, when the concentration threshold is 15 μg / m³, the system calculates the evaporation efficiency of the evaporator most accurately.

[0072] Upon receiving a signal from the concentration threshold unit, the trigger unit immediately issues a thickness detection command. This command can be sent to the dirt thickness detection module via wired or wireless communication. The trigger unit records information such as the time of each trigger and particle concentration, providing data support for subsequent system analysis and optimization.

[0073] By installing several particle sensors in corresponding areas of the evaporator, the system can collect real-time information on particulate matter concentration in the air, ensuring a rapid response to changes in air quality and avoiding the accumulation of dirt caused by delayed detection. Through a precise triggering mechanism, the system only detects dirt thickness and performs cleaning operations when necessary, avoiding the excessive testing and cleaning that can occur with traditional periodic testing and cleaning methods, thereby reducing energy consumption and maintenance costs.

[0074] See also Figure 3 As shown in FIG, it is a structural diagram of a dirt thickness detection module according to an embodiment of the present invention, comprising:

[0075] a heating unit for heating the surface of the dirt layer;

[0076] a receiving unit connected to the heating unit and disposed at the interface between the dirt layer and the evaporator, for receiving a thermal radiation phase shift signal reflected from the interface;

[0077] The thickness calculation unit is connected to the receiving unit and is used to calculate the time offset of the thermal radiation phase shift signal, thereby calculating the thickness of the dirt layer.

[0078] In practice, the heating unit uses an electric heating element, such as a heating wire or heating film, to quickly and evenly heat the surface of the dirt layer. A temperature sensor and controller precisely control the heating process. The controller adjusts the heating power based on a preset temperature curve or real-time feedback signals to ensure the dirt layer reaches the appropriate surface temperature. Generally, the heated temperature is 20°C. The heating unit should be installed in a suitable position on the evaporator surface to ensure uniform heating of the dirt layer. Installation methods can be surface-mount or embedded, depending on the evaporator's structure and materials.

[0079] The receiving unit amplifies and filters the collected thermal radiation phase-shift signal to improve signal quality, employing analog or digital signal processing techniques to ensure signal accuracy and stability. The receiving unit should be installed at the interface between the dirt layer and the evaporator, using either a fixed or adjustable mounting method to ensure accurate reception of the reflected signal and adapt to different evaporator structures.

[0080] The thickness calculation unit determines the dirt layer thickness by calculating the time offset of the thermal radiation phase shift signal. Fourier transform or other signal processing algorithms are used to extract the time offset information from the thermal radiation phase shift signal. This time offset information, combined with the thermal conductivity characteristics of the dirt layer, is used to calculate the dirt layer thickness. To improve measurement accuracy, the thickness calculation unit requires data calibration. A model is established to establish the relationship between the thermal radiation phase shift signal and the dirt thickness through experimental calibration or numerical simulation.

[0081] The surface of the dirt layer is heated by the heating unit, and the receiving unit receives the phase shift signal of thermal radiation reflected from the interface. The thickness calculation unit can accurately calculate the thickness of the dirt layer and provide high-precision measurement results, avoiding errors caused by human judgment or simple detection methods in traditional methods. By accurately measuring the dirt thickness, the system can detect dirt accumulation problems in advance and take cleaning measures in time to avoid reduced evaporation efficiency or equipment failure due to excessive dirt thickness.

[0082] Specifically, the receiving units are connected to each other in series via elastic transition pieces, wherein the length of the elastic transition pieces is adjusted in real time according to the distance between the receiving units.

[0083] Specifically, a thickness standard is also provided in the receiving unit. In response to the thickness of the dirt layer exceeding the thickness standard, the distance between adjacent receiving units is shortened to reduce the length of the elastic transition piece. In response to the thickness of the dirt layer not exceeding the thickness standard, the distance between adjacent receiving units remains unchanged. The thickness standard is a critical value for determining whether the thickness of the dirt layer affects the reception of the thermal radiation phase shift signal.

[0084] In practice, the elastic transition piece is made of materials with high elasticity, high temperature resistance, and corrosion resistance (such as silicone and polytetrafluoroethylene) to ensure stable operation in harsh environments. The initial length of the elastic transition piece is designed based on the initial layout of the receiving units to ensure that signal transmission requirements are met under normal operating conditions. When the thickness of the dirt layer exceeds the thickness standard, the length adjustment mechanism of the elastic transition piece is triggered. A micromotor or hydraulic device drives the elastic transition piece to contract, shortening the distance between adjacent receiving units. When the dirt layer thickness does not exceed the thickness standard, the length of the elastic transition piece remains unchanged, maintaining the distance between the receiving units.

[0085] The thickness standard is the critical value for determining whether the thickness of the dirt layer affects the reception of the thermal radiation phase shift signal. This standard can be obtained through experimental calibration. The specific method is as follows:

[0086] Multiple measurements were performed under different dirt thickness conditions, and the intensity and quality of the thermal radiation phase shift signal were recorded.

[0087] The relationship between signal strength and dirt thickness is analyzed to determine a critical value. When the dirt thickness exceeds this value, the signal quality decreases significantly, affecting the measurement accuracy.

[0088] The thickness standard can be adjusted according to the actual application scenario. For example, in situations where high precision is required, a lower thickness standard can be set.

[0089] In detail, the experimental equipment is as follows:

[0090] Evaporator: The evaporator used for the experiment should have a clean surface and be free of dirt.

[0091] Dirt simulation device: used to evenly apply dirt of different thicknesses on the evaporator surface.

[0092] Experimental steps:

[0093] 1. Prepare the experimental environment:

[0094] Clean the evaporator surface to ensure there is no dirt, install the dirt thickness detection module, and ensure that all equipment is operating normally.

[0095] 2. Simulate the dirt layer:

[0096] Use a dirt simulation device to evenly apply dirt on the evaporator surface, and set three groups of different dirt thicknesses:

[0097] Group 1: Dirt thickness is 0.3 mm;

[0098] Group 2: Dirt thickness is 0.5 mm;

[0099] Group 3: Dirt thickness is 0.7 mm.

[0100] 3. Data Collection:

[0101] The thickness of each group of dirt is measured multiple times, and the intensity, phase shift amount and signal quality of the thermal radiation phase shift signal are recorded. The actual thickness of each group of dirt is accurately measured using a thickness measurement tool to ensure the accuracy of the data.

[0102] 4. Data Analysis:

[0103] Each set of data was analyzed to evaluate the effect of dirt thickness on the thermal radiation phase shift signal.

[0104] Calculate the relationship between signal strength and dirt thickness to determine the critical point where signal quality degrades.

[0105] Experimental data:

[0106] The first set of data (dirt thickness 0.3 mm):

[0107] Dirt thickness: 0.3mm, signal strength: 85, phase shift: 2.0, signal quality: 95%;

[0108] The second set of data (dirt thickness 0.5 mm):

[0109] Dirt thickness: 0.5mm, signal strength: 70, phase shift: 2.5, signal quality: 85%;

[0110] The third set of data (dirt thickness 0.7 mm):

[0111] Dirt thickness: 0.7mm, signal strength: 50, phase shift: 3.0, signal quality: 65%;

[0112] Signal strength analysis:

[0113] When the dirt thickness is 0.3 mm, the signal strength is 85 units and the signal quality is 95%. When the dirt thickness increases to 0.5 mm, the signal strength drops to 70 units and the signal quality drops to 85%. When the dirt thickness further increases to 0.7 mm, the signal strength further drops to 50 units and the signal quality drops to 65%.

[0114] In terms of signal quality, when the dirt thickness increased from 0.3 mm to 0.5 mm, the signal quality dropped by 10 percentage points. When the dirt thickness increased from 0.5 mm to 0.7 mm, the signal quality dropped further by 20 percentage points.

[0115] It can be seen that when the dirt thickness exceeds 0.5 mm, the signal quality and signal strength decrease significantly. Therefore, 0.5 mm can be used as the thickness standard.

[0116] By dynamically adjusting the distance between receiving units based on the dirt layer thickness, we ensure optimal reception of the thermal radiation phase shift signal, thereby improving the accuracy of dirt thickness measurement. When the dirt layer thickness exceeds the standard, shortening the distance between receiving units reduces attenuation and interference during signal transmission, enhancing signal stability and reliability. This adaptive adjustment mechanism effectively handles large variations in dirt layer thickness and avoids measurement errors caused by a fixed layout.

[0117] See also Figure 4 As shown in FIG, it is a schematic diagram of the structure of the evaporation efficiency calculation module according to an embodiment of the present invention, including:

[0118] A model building unit, which is used to build an efficiency calculation model;

[0119] a processing unit connected to the model building unit, configured to cut the dirt layer thickness according to a standard sampling rate to form thickness pre-data, wherein the standard sampling rate is a sampling rate that can be recognized by the efficiency calculation model, and for a single cutting, the corresponding standard sampling rate is a single sampling rate;

[0120] a calculation unit connected to the processing unit, for calling the efficiency calculation model in response to input of thickness pre-data, and starting a learning process of the efficiency calculation model to obtain evaporation efficiency;

[0121] The issuing unit is connected to the calculating unit and is provided with a qualified standard for screening the evaporation efficiency using the qualified standard.

[0122] In the specific implementation, a neural network was selected as the mathematical model for calculating evaporator efficiency. The initial parameters of the efficiency calculation model were set based on the evaporator's design parameters (such as area, material, and fluid properties) and operating conditions (such as temperature and flow rate). The standard sampling rate was set at 10 data points per second, and the acceptance standard was set at an evaporation efficiency of at least 80%.

[0123] Specifically, a dirt simulation device was used to evenly apply dirt of different thicknesses on the evaporator surface, and three groups of different dirt thicknesses were set:

[0124] Group 1: Dirt thickness is 0.1 mm;

[0125] Group 2: Dirt thickness is 0.3 mm;

[0126] Group 3: Dirt thickness is 0.5 mm.

[0127] The dirt thickness of each group was tested multiple times, and the operating parameters of the evaporator were recorded, including inlet and outlet temperatures, flow rates, pressures, etc. The efficiency calculation module was used to process and calculate each set of data to obtain the evaporation efficiency of the evaporator.

[0128] When the dirt thickness is 0.1 mm, the evaporation efficiency is 95% and the standard deviation is 1.2%.

[0129] When the dirt thickness increases to 0.3 mm, the evaporation efficiency drops to 85% with a standard deviation of 1.5%.

[0130] When the dirt thickness further increases to 0.5 mm, the evaporation efficiency further decreases to 75% with a standard deviation of 2.0%.

[0131] The data shows that evaporation efficiency decreases significantly as dirt thickness increases. According to experimental data, when the dirt thickness is 0.3 mm, the evaporation efficiency is 85%. While this efficiency level is lower than the optimal level (95%), it is still within an acceptable range. Therefore, 85% can be used as the acceptable standard.

[0132] When the evaporation efficiency is less than 85%, it means that the dirt layer thickness may exceed 0.3 mm and needs to be cleaned or optimized.

[0133] By cutting and processing the dirt layer thickness data according to the standard sampling rate, it is possible to ensure that the format and quality of the input data meet the requirements of the efficiency calculation model, thereby improving the accuracy of the evaporation efficiency calculation. The learning process of the efficiency calculation model can be dynamically adjusted according to the input thickness pre-data, further optimizing the calculation results.

[0134] Specifically, building an efficiency calculation model also includes:

[0135] The dirt layer thickness is selected as the input layer of the efficiency calculation model, and the number of hidden layers of the efficiency calculation model is determined to form the efficiency calculation model, wherein the number of hidden layers is adjusted according to the size of the qualification standard.

[0136] Specifically, screening for evaporation efficiency also includes:

[0137] In response to the evaporation efficiency reaching the qualified standard, the current operating parameters are recorded and the cleaning frequency is not adjusted, wherein the operating parameters include the cleaning frequency, the operating time and the operating temperature.

[0138] Specifically, the optimization configuration module also includes:

[0139] Calculate the difference between the evaporation efficiency and the qualified standard, and adjust the cleaning frequency according to the preset adjustment strategy based on the difference.

[0140] In practice, the adjustment strategy is a key mechanism that dynamically adjusts the cleaning frequency based on the difference between evaporation efficiency and acceptable standards. This strategy aims to ensure that the evaporator's operating efficiency remains above acceptable standards while avoiding unnecessary cleaning operations to reduce equipment wear and energy waste.

[0141] In detail, the adjustment strategy adopts a step-by-step adjustment strategy. According to the difference between the evaporation efficiency and the qualified standard, the difference is divided into different intervals, and each interval corresponds to a fixed cleaning frequency adjustment amount.

[0142] If the passing criterion − current efficiency ≤ 5%, the cleaning frequency is increased by 10%.

[0143] If 5% < passing standard − current efficiency ≤ 10%, increase cleaning frequency by 20%.

[0144] If the passing criterion − current efficiency > 10%, the cleaning frequency is increased by 30%.

[0145] On the other hand, the present invention provides an intelligent adaptive device coupled with a hydrogen energy heat pump for monitoring a plurality of evaporators in the heat pump, characterized by comprising:

[0146] an air quality sensing device configured to collect the concentration of particulate matter in the air in real time and, in response to the particulate matter concentration exceeding a concentration threshold, trigger a dirt layer thickness detection, wherein the concentration threshold is related to the air quality conditions and pollution source characteristics of the area where the evaporator is located;

[0147] A dirt thickness detection device, which is connected to the air quality sensing device and is used to detect the thickness of the dirt layer on the surface of the evaporator;

[0148] an evaporation efficiency calculation device, which is connected to the dirt thickness detection device and is used to calculate the evaporation efficiency of the evaporator according to the thickness of the dirt layer and to determine whether the evaporation efficiency meets the qualified standard;

[0149] The optimization configuration device is connected to the evaporation efficiency calculation device and is used to adjust the cleaning frequency of the evaporator in response to the evaporation efficiency failing to meet the qualified standard.

[0150] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

[0151] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that the present invention is susceptible to various modifications and variations. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

Claims

1. A coupled hydrogen energy heat pump intelligent adaptive system for monitoring several evaporators in a heat pump, characterized in that: include: an air quality sensing module configured to collect a concentration of particulate matter in the air in real time and, in response to the concentration of particulate matter exceeding a concentration threshold, trigger a dirt layer thickness detection, wherein the concentration threshold is related to the air quality status and pollution source characteristics of the area where the evaporator is located; a dirt thickness detection module, connected to the air quality sensing module, for detecting the thickness of the dirt layer on the surface of the evaporator; an evaporation efficiency calculation module, connected to the dirt thickness detection module, for calculating the evaporation efficiency of the evaporator according to the thickness of the dirt layer, and determining whether the evaporation efficiency meets the qualified standard; an optimization configuration module connected to the evaporation efficiency calculation module, for adjusting the cleaning frequency of the evaporator in response to the evaporation efficiency failing to meet the qualified standard; The air quality sensing module includes: a plurality of particulate matter sensors provided together with the evaporator, which are installed in corresponding areas of the evaporator to collect the concentration of the particulate matter in real time; a concentration threshold unit, connected to the particulate matter sensor and provided with the concentration threshold, for screening the concentration of the particulate matter according to the concentration threshold; a trigger unit connected to the concentration threshold unit, for issuing a thickness detection instruction in response to the particle concentration exceeding the concentration threshold; The dirt thickness detection module includes: a heating unit for heating the surface of the dirt layer; a receiving unit connected to the heating unit and disposed at an interface between the dirt layer and the evaporator, for receiving a thermal radiation phase shift signal reflected from the interface; a thickness calculation unit connected to the receiving unit and configured to calculate the time offset of the thermal radiation phase shift signal, thereby calculating the thickness of the dirt layer; The evaporation efficiency calculation module includes: A model building unit, which is used to build an efficiency calculation model; a processing unit connected to the model building unit, configured to cut the dirt layer thickness according to a standard sampling rate to form thickness prediction data, wherein the standard sampling rate is a sampling rate that can be recognized by the efficiency calculation model, and for a single cutting, the corresponding standard sampling rate is a single sampling rate; a calculation unit connected to the processing unit, configured to call the efficiency calculation model in response to input of the thickness prediction data, and start a learning process of the efficiency calculation model to obtain evaporation efficiency; The issuing unit is connected to the calculation unit and is provided with the qualification standard for screening the evaporation efficiency using the qualification standard.

2. The coupled hydrogen energy heat pump intelligent adaptive system according to claim 1 is characterized in that: The receiving units are connected to each other in series via elastic transition pieces, wherein the length of the elastic transition pieces is adjusted in real time according to the distance between the receiving units.

3. The coupled hydrogen energy heat pump intelligent adaptive system according to claim 2, characterized in that: A thickness standard is also provided in the receiving unit. In response to the thickness of the dirt layer exceeding the thickness standard, the distance between adjacent receiving units is shortened to reduce the length of the elastic transition piece. In response to the thickness of the dirt layer not exceeding the thickness standard, the distance between adjacent receiving units remains unchanged. The thickness standard is a critical value for determining whether the thickness of the dirt layer affects the reception of the thermal radiation phase shift signal.

4. The coupled hydrogen energy heat pump intelligent adaptive system according to claim 3 is characterized in that: Building the efficiency calculation model also includes: The dirt layer thickness is selected as the input layer of the efficiency calculation model, and the number of hidden layers of the efficiency calculation model is determined to form the efficiency calculation model, wherein the number of hidden layers is adjusted according to the size of the qualification standard.

5. The coupled hydrogen energy heat pump intelligent adaptive system according to claim 4 is characterized in that: Screening the evaporation efficiency further comprises: In response to the evaporation efficiency reaching the qualified standard, current operating parameters are recorded and the cleaning frequency is not adjusted, wherein the operating parameters include the cleaning frequency, operating time and operating temperature.

6. The coupled hydrogen energy heat pump intelligent adaptive system according to claim 5, characterized in that: The optimization configuration module further includes: The difference between the evaporation efficiency and the qualified standard is calculated, and the cleaning frequency is adjusted according to a preset adjustment strategy based on the difference.

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