Intelligent adaptation system and device for coupling hydrogen energy heat pump

Abstract

The invention relates to the field of hydrogen energy storage self-adaption, in particular to an intelligent adaption system and device for a coupling hydrogen energy heat pump, which effectively reduces heat conduction loss caused by dirt and ensures that an evaporator is always in a high-efficiency operation state by dynamically adjusting the cleaning frequency of the evaporator. Compared with a traditional hydrogen energy heat pump, the efficiency that the hydrogen fuel cell converts hydrogen energy into electric energy to drive the heat pump is improved, the operation efficiency of the heat pump is remarkably improved, the heat pump can flexibly adjust the operation state according to actual working conditions, it is ensured that the heat pump can operate efficiently in different seasons and under different environmental conditions, and the service life of the heat pump is prolonged. The efficiency loss in a traditional fixed parameter operation mode is avoided, and the adaptability and flexibility of the heat pump are further improved.

Description

Technical Field

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

[0002] Traditional heat pump systems face numerous challenges during actual operation. Especially when environmental conditions change significantly, their performance and efficiency are significantly affected. For example, the surface of the evaporator is easily affected by pollutants such as particulate matter, dust, and oil stains in the air, forming a fouling layer. These fouling layers will significantly reduce the evaporation efficiency of the evaporator, increase the energy consumption of the heat pump, reduce the operating efficiency of the heat pump, and may even cause heat pump failures.

[0003] Traditional heat pump systems usually adopt fixed operating parameters and cleaning strategies and cannot be dynamically adjusted according to environmental conditions and equipment status. This fixed operating mode not only fails to adapt to environmental changes but may also lead to over-cleaning or insufficient cleaning, increasing heat pump wear and energy consumption, and reducing the overall efficiency and service life of the heat pump.

[0004] Chinese Patent Authorization Publication No.: CN110280031B discloses a heat pump evaporator, which includes two bottom plates. Above one of the bottom plates is provided a first housing, on both sides of the first housing are provided ventilation components, above the first housing is provided a first shell cover, below the connecting ring is fixed a box body, above the tank body is provided a cover plate, inside the tank body is placed an annular tube, one end of the annular tube is connected to a compressor, the other end of the annular tube is connected to a filtering component, the other side of the filtering component is connected to an expansion valve, the expansion valve is connected to another main pipe, on both sides of the tank body are respectively provided inlet and outlet pipes, and on one side of the tank body is provided a drainage component. This device is reasonably designed and convenient to operate. Through the cooperation of the through holes and the box body, a better heat dissipation purpose is achieved, enabling the device to work properly and facilitating normal use by people.

[0005] Chinese Patent Grant Publication No.: CN110388767B, which discloses an air source heat pump evaporator and an air source heat pump, and is used to solve the problems in the prior art that the frosting speed on the fin surface of the air source heat pump evaporator is relatively fast, the speed of the frost layer blocking the channel is relatively fast, and the defrosting cycle is relatively short. The air source heat pump evaporator includes a refrigerant pipeline and a plurality of fins strung on the refrigerant pipeline. The design method is to design a guiding structure on the windward side of the fins that can guide the liquefaction rather than the sublimation of water vapor in the air, so that the water vapor in the air freezes instead of frosting, so as to achieve the purpose of extending the freezing and defrosting cycle, reducing the defrosting energy consumption, and improving the overall performance of the unit. The defrosting cycle of the air source heat pump evaporator of the present invention is about three times that of the original under the same working conditions and defrosting conditions, which greatly extends the defrosting 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 impact on the normal operation of the system.

[0006] However, the above method has the following problems: it is impossible to intelligently control the evaporator according to seasons, resulting in low working efficiency of the heat pump. Summary of the Invention

[0007] Therefore, the present invention provides a coupled hydrogen energy heat pump intelligent adaptation system and device to overcome the problem in the prior art that it is impossible to intelligently control the evaporator according to seasons, resulting in low working efficiency of the heat pump.

[0008] To achieve the above object, the present invention provides a coupled hydrogen energy heat pump intelligent adaptation system for monitoring several evaporators in a heat pump, including: An air quality perception module for real-time collecting the particulate matter concentration in the air and triggering the detection of the fouling layer thickness in response to the particulate matter concentration exceeding a concentration threshold, where the concentration threshold is related to the air quality condition and pollution source characteristics of the area where the evaporator is located; A fouling thickness detection module connected to the air quality perception module for detecting the fouling layer thickness on the surface of the evaporator; An evaporation efficiency calculation module connected to the fouling thickness detection module for calculating the evaporation efficiency of the evaporator according to the fouling layer thickness 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 not meeting the qualified standard.

[0009] Further, the air quality perception module includes: A plurality of particulate matter sensors jointly arranged with the evaporator, which are installed in the corresponding area of the evaporator for real-time collecting the particulate matter concentration; A concentration threshold unit, which is connected to the particulate matter sensor and is provided with the concentration threshold for screening the particulate matter concentration according to the concentration threshold; A trigger unit, which is connected to the concentration threshold unit and is used for issuing a thickness detection instruction in response to the particulate matter concentration exceeding the concentration threshold.

[0010] Further, the dirt thickness detection module includes: A heating unit for heating the surface of the dirt layer; A receiving unit, which is connected to the heating unit and is arranged at the interface between the dirt layer and the evaporator for receiving the thermal radiation phase shift signal reflected by the interface; A thickness calculation unit, which is connected to the receiving unit and is used for calculating the time offset of the thermal radiation phase shift signal so as to calculate the dirt layer thickness.

[0011] Further, the receiving units are connected to each other in series through elastic transition members, wherein the length of the elastic transition members is adjusted in real time according to the distance between the receiving units.

[0012] Further, a thickness standard is also set in the receiving unit. In response to the dirt layer thickness exceeding the thickness standard, the distance between adjacent receiving units is shortened to reduce the length of the elastic transition member, and in response to the dirt layer thickness not exceeding the thickness standard, the distance between adjacent receiving units remains unchanged, wherein the thickness standard is a critical value for judging whether the dirt layer thickness affects the reception of the thermal radiation phase shift signal.

[0013] Further, the evaporation efficiency calculation module includes: A model building unit for building an efficiency calculation model; A processing unit, which is connected to the model building unit and is used for cutting the dirt layer thickness at a standard sampling rate to form thickness pre-data, wherein the standard sampling rate is the sampling rate that the efficiency calculation model can recognize, and for a single cut, the corresponding standard sampling rate is a single sampling rate; A calculation unit, which is connected to the processing unit and is used for calling the efficiency calculation model in response to the input of the thickness pre-data and starting the learning process of the efficiency calculation model to obtain the evaporation efficiency; An issuing unit, which is connected to the calculation unit and is provided with the qualified standard for screening the evaporation efficiency by using the qualified standard.

[0014] Further, building the efficiency calculation model further includes: Select the thickness of the fouling layer as the input layer of the efficiency calculation model, and determine the number of hidden layers of the efficiency calculation model to form the efficiency calculation model, where the number of hidden layers is adjusted according to the size of the qualified standard.

[0015] Further, the screening of the evaporation efficiency further includes: In response to the evaporation efficiency reaching the qualified standard, record the current operating parameters and do not adjust the cleaning frequency, where the operating parameters include the cleaning frequency, operating time, and operating temperature.

[0016] Further, for the optimization configuration module, it further includes: Calculate the difference between the evaporation efficiency and the qualified standard, and adjust the cleaning frequency according to the difference according to a preset adjustment strategy.

[0017] On the other hand, the present invention provides a coupled hydrogen energy heat pump intelligent adaptation device for monitoring a plurality of evaporators in a heat pump, which is characterized by including: An air quality sensing device for real-time collecting the particulate matter concentration in the air, and in response to the particulate matter concentration exceeding a concentration threshold, triggering the detection of the fouling layer thickness, where the concentration threshold is related to the air quality condition and pollution source characteristics of the area where the evaporator is located; A fouling thickness detection device connected to the air quality sensing device for detecting the fouling layer thickness on the surface of the evaporator; An evaporation efficiency calculation device connected to the fouling thickness detection device for calculating the evaporation efficiency of the evaporator according to the fouling layer thickness and determining whether the evaporation efficiency reaches the qualified standard; An optimization configuration device connected to the evaporation efficiency calculation device for adjusting the cleaning frequency of the evaporator in response to the evaporation efficiency not reaching the qualified standard.

[0018] Compared with the prior art, the present invention effectively reduces the heat conduction loss caused by fouling by dynamically adjusting the cleaning frequency of the evaporator, ensuring that the evaporator is always in a high-efficiency operating state. Compared with traditional hydrogen energy heat pumps, it accelerates the efficiency of converting hydrogen energy into electrical energy by a hydrogen fuel cell to drive the heat pump, significantly improves the operating efficiency of the heat pump, enables the heat pump to flexibly adjust the operating state according to the actual working conditions, ensures that the heat pump can maintain high-efficiency operation in different seasons and environmental conditions, avoids the efficiency loss in the traditional fixed-parameter operation mode, and further improves the adaptability and flexibility of the heat pump.

[0019] Furthermore, by installing a number of particulate matter sensors in the corresponding area of the evaporator, the concentration of particulate matter in the air can be collected in real time, ensuring a rapid response to changes in air quality and avoiding problems of dirt accumulation caused by delayed detection. Through a precise triggering mechanism, the system only performs dirt thickness detection and cleaning operations when necessary, avoiding over-detection and over-cleaning problems that may occur in traditional regular detection and cleaning methods, thereby reducing energy consumption and maintenance costs.

[0020] Furthermore, by heating the surface of the dirt layer with a heating unit and using a receiving unit to receive the thermal radiation phase shift signal reflected by the interface, the thickness calculation unit can accurately calculate the thickness of the dirt layer, providing high-precision measurement results and 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 a timely manner, avoiding a decrease in evaporation efficiency or equipment failure caused by excessive dirt thickness.

[0021] Furthermore, by dynamically adjusting the distance between the receiving units according to the dirt layer thickness, it can ensure that the reception of the thermal radiation phase shift signal is always in the best state, thereby improving the accuracy of dirt thickness measurement. When the dirt layer thickness exceeds the thickness standard, shortening the distance between the receiving units can reduce attenuation and interference during signal transmission, enhancing signal stability and reliability. This adaptive adjustment mechanism can effectively cope with large changes in dirt layer thickness and avoid measurement errors caused by a fixed layout.

[0022] Furthermore, by cutting and processing the dirt layer thickness data at a standard sampling rate, it can ensure that the format and quality of the input data meet the requirements of the efficiency calculation model, thereby improving the accuracy of 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

[0023] Figure 1 It is a schematic structural diagram of a coupled hydrogen energy heat pump intelligent adaptation system according to an embodiment of the present invention; Figure 2 It is a schematic structural diagram of an air quality perception module according to an embodiment of the present invention; Figure 3 It is a schematic structural diagram of a dirt thickness detection module according to an embodiment of the present invention; Figure 4 It is a schematic structural diagram of an evaporation efficiency calculation module according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0024] In order to make the objectives and advantages of the present invention more clear and understandable, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0025] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and do not limit the protection scope of the present invention.

[0026] It should be noted that in the description of the present invention, the terms indicating directions or positional relationships such as "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings. This is only for the convenience of description and does not indicate or imply that the device or component must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation to the present invention.

[0027] In addition, it should also be noted that in the description of the present invention, unless otherwise clearly specified and defined, the terms "installation", "connection", and "coupling" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0028] Please refer to Figure 1 as shown, which is a schematic structural diagram of a coupled hydrogen energy heat pump intelligent adaptation system according to an embodiment of the present invention, used to monitor a plurality of evaporators, including: An air quality sensing module, which is used to collect the particulate matter concentration in the air in real time, and, in response to the particulate matter concentration exceeding the concentration threshold, trigger the detection of the fouling layer thickness, wherein the concentration threshold is related to the air quality status and pollution source characteristics of the area where the evaporator is located; A fouling thickness detection module, which is connected to the air quality sensing module and is used to detect the fouling layer thickness on the surface of the evaporator; An evaporation efficiency calculation module, which is connected to the fouling thickness detection module and is used to calculate the evaporation efficiency of the evaporator according to the fouling layer thickness and determine whether the evaporation efficiency meets the qualified standard; An optimization configuration module, which 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 not meeting the qualified standard.

[0029] In specific implementations, the heat pump capable of coupling hydrogen energy in the present invention adopts a compression-type heat pump structure, which mainly consists of a compressor, a condenser, a throttling device, and an evaporator. The compressor compresses the refrigerant gas at low temperature and low pressure into a high-temperature and high-pressure gas. The refrigerant releases heat to the outside for heating in the condenser. After being depressurized and cooled by the throttling device, it absorbs heat from the external environment in the evaporator to realize the circulation of the refrigerant. If the air quality is poor, it will affect the working efficiency of the evaporator. The present invention can adjust the cleaning frequency or operating parameters of the evaporator to ensure its efficient operation.

[0030] In a heat pump system, the evaporator is a key component for the refrigerant to absorb heat from the outside. Its main function is to absorb the heat in the environment during the evaporation process of the low-temperature and low-pressure refrigerant liquid, thereby realizing the transfer of heat. The performance of the evaporator directly affects the refrigeration and heating effects of the heat pump system. If the evaporation efficiency of the evaporator is low and the heat absorption capacity of the refrigerant weakens, it will lead to a decline in the overall performance of the heat pump system and cannot effectively meet the heating or cooling requirements.

[0031] The evaporator is the starting point of the heat pump cycle, and its working state determines the heat release efficiency of the refrigerant in the subsequent condenser. An efficient evaporator can ensure that the refrigerant fully absorbs heat during the evaporation process, so that it can more effectively release heat to the environment that needs heating in the condenser, improving the energy efficiency of the entire heat pump system.

[0032] Dirt is likely to accumulate on the surface of the evaporator, such as dust, particulate matter, oil stains, etc. These dirt will form a heat-insulating layer, increasing the thermal resistance and hindering the transfer of heat from the outside to the refrigerant. For example, when the dirt thickness reaches a certain value, the heat absorption efficiency of the refrigerant will decrease 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 decreases significantly. This increase in thermal resistance will cause the heat pump system to consume more energy to maintain the same heating or cooling effect, thereby reducing the energy utilization efficiency. Dirt not only affects heat conduction but also can change the flow characteristics of the refrigerant in the evaporator. The dirt layer will cause uneven refrigerant flow, and the refrigerant in local areas cannot fully absorb heat, further reducing the evaporation efficiency. By measuring the evaporation efficiency of the evaporator, the impact of dirt on the flow characteristics can be detected in time, corresponding cleaning measures can be taken, the flow state of the refrigerant can be optimized, and the evaporation efficiency can be improved.

[0033] By measuring the evaporation efficiency of the evaporator, the cleaning frequency can be reasonably arranged. The traditional cleaning method is usually to clean regularly, but this method has problems of over-cleaning or under-cleaning. By real-time monitoring the evaporation efficiency and only cleaning when the evaporation efficiency is lower than the qualified standard, unnecessary cleaning operations can be avoided, equipment wear and energy waste can be reduced, and at the same time, the evaporator can always be in an efficient operating state.

[0034] In summary, choosing to measure the evaporation efficiency through the evaporator is a key strategy to improve the working efficiency of the heat pump. It can directly reflect the core performance of the heat pump system, timely detect and solve problems affecting efficiency, optimize the cleaning strategy, reduce energy consumption, and adapt to different operating environments, thus achieving the efficient and energy-saving operation of the heat pump system.

[0035] By dynamically adjusting the cleaning frequency of the evaporator, the heat conduction loss caused by dirt is effectively reduced, ensuring that the evaporator is always in a highly efficient operating state. Compared with traditional hydrogen energy heat pumps, it accelerates the efficiency of converting hydrogen energy into electrical energy by the hydrogen fuel cell to drive the heat pump, significantly improves the operating efficiency of the heat pump, enables the heat pump to flexibly adjust its operating state according to the actual working conditions, ensures that the heat pump can maintain high efficiency in different seasons and environmental conditions, avoids the efficiency loss in the traditional fixed-parameter operation mode, and further enhances the adaptability and flexibility of the heat pump.

[0036] Please refer to Figure 2 as shown, which is a schematic structural diagram of the air quality perception module of the embodiment of the present invention, including: Several particulate matter sensors arranged together with the evaporator, which are installed in the corresponding area of the evaporator to collect the particulate matter concentration in real time; A concentration threshold unit, which is connected to the particulate matter sensor and is provided with a concentration threshold to screen the particulate matter concentration according to the concentration threshold; A trigger unit, which is connected to the concentration threshold unit and is used to issue a thickness detection instruction in response to the particulate matter concentration exceeding the concentration threshold.

[0037] In specific implementation, several particulate matter sensors are installed in the corresponding area according to the size and shape of the evaporator. The number and distribution of the sensors should ensure that the air environment around the evaporator can be comprehensively covered to avoid detection blind spots. The particulate matter sensors are installed near the air inlet of the evaporator or other areas vulnerable to pollution to more accurately collect the air quality data related to the operation of the evaporator.

[0038] The particle size sensor selects high-precision and high-sensitivity particulate matter sensors to ensure real-time monitoring of the particulate matter concentration in the air, including common pollutants such as PM2.5 and PM10.

[0039] The concentration threshold is set according to the air quality status and pollution source characteristics of the area where the evaporator is located. For example, in industrial areas with poor air quality, the concentration threshold is appropriately reduced to more sensitively detect changes in the particulate matter concentration. The concentration threshold can be dynamically adjusted through the system software. The system can automatically optimize the threshold setting according to historical data and real-time monitoring results to adapt to different environmental conditions and operating requirements.

[0040] Preferably, when the concentration threshold is selected as 15 μg / m³, the system calculates the evaporation efficiency of the evaporator most accurately.

[0041] After receiving the signal from the concentration threshold unit, the trigger unit immediately issues a thickness detection instruction. The instruction can be sent to the fouling thickness detection module through wired or wireless communication means. The trigger unit can record information such as the time of each trigger and the particulate matter concentration, providing data support for subsequent system analysis and optimization.

[0042] By installing a number of particulate matter sensors in the corresponding area of the evaporator, the concentration of particulate matter in the air can be collected in real time, ensuring a rapid response to changes in air quality and avoiding the problem of fouling accumulation caused by delayed detection. Through the precise trigger mechanism, the system only performs fouling thickness detection and cleaning operations when necessary, avoiding the problems of over-detection and over-cleaning that may occur in traditional regular detection and cleaning methods, thereby reducing energy consumption and maintenance costs.

[0043] Please refer to Figure 3 as shown, which is a schematic structural diagram of the fouling thickness detection module according to an embodiment of the present invention, including: a heating unit for heating the surface of the fouling layer; a receiving unit connected to the heating unit and disposed at the interface between the fouling layer and the evaporator for receiving the thermal radiation phase shift signal reflected from the interface; a thickness calculation unit connected to the receiving unit for calculating the time offset of the thermal radiation phase shift signal and thus calculating the fouling layer thickness.

[0044] In a specific implementation, the heating unit uses an electric heating element, such as an electric heating wire or an electric heating film, to quickly and evenly heat the surface of the fouling layer. Precise control of the heating process is achieved through a temperature sensor and a controller. The controller can adjust the heating power according to a preset temperature curve or a real-time feedback signal to ensure that the surface of the fouling layer reaches an appropriate temperature. Generally, the temperature after heating is 20°C. The heating unit should be installed at an appropriate position on the surface of the evaporator to ensure uniform heating of the fouling layer. The installation method can be a patch type or an embedded installation method, depending on the structure and material of the evaporator.

[0045] The receiving unit needs to amplify and filter the collected thermal radiation phase shift signal to improve the signal quality, using analog or digital signal processing techniques to ensure the accuracy and stability of the signal. The receiving unit should be installed at the interface between the fouling layer and the evaporator, using a fixed installation or an adjustable installation method to ensure accurate reception of the reflected signal to adapt to different evaporator structures.

[0046] The thickness calculation unit determines the thickness of the fouling layer by calculating the time offset of the thermal radiation phase shift signal. Using Fourier transform or other signal processing algorithms, it extracts the time offset information from the thermal radiation phase shift signal. Based on the time offset information and combined with the heat conduction characteristics of the fouling layer, it calculates the thickness of the fouling layer. To improve the measurement accuracy, it is necessary to calibrate the data of the thickness calculation unit. Through experimental calibration or numerical simulation methods, a relationship model between the thermal radiation phase shift signal and the fouling thickness is established.

[0047] By heating the surface of the fouling layer through the heating unit and using the receiving unit to receive the thermal radiation phase shift signal reflected by the interface, the thickness calculation unit can accurately calculate the thickness of the fouling layer, provide high-precision measurement results, and avoid the errors caused by human judgment or simple detection means in traditional methods. By accurately measuring the fouling thickness, the system can detect the fouling accumulation problem in advance, take cleaning measures in time, and avoid the decrease in evaporation efficiency or equipment failure caused by excessive fouling thickness.

[0048] Specifically, the receiving units are connected to each other in series through elastic transition members, where the length of the elastic transition member is adjusted in real time according to the distance between the receiving units.

[0049] Specifically, a thickness standard is also set inside the receiving unit. In response to the fouling layer thickness exceeding the thickness standard, the distance between adjacent receiving units is shortened to reduce the length of the elastic transition member. And in response to the fouling layer thickness not exceeding the thickness standard, the distance between adjacent receiving units remains unchanged, where the thickness standard is the critical value for judging whether the fouling layer thickness affects the reception of the thermal radiation phase shift signal.

[0050] In specific implementation, the elastic transition member uses materials with high elasticity, high temperature resistance, and corrosion resistance (such as silicone, polytetrafluoroethylene, etc.) as the elastic transition member to ensure its stable operation in harsh environments. The initial length of the elastic transition member is designed according to the initial layout of the receiving units to ensure that the signal transmission requirements are met under normal working conditions. When the fouling layer thickness exceeds the thickness standard, the length adjustment mechanism of the elastic transition member is triggered. The elastic transition member is driven to contract by a micro motor or a hydraulic device to shorten the distance between adjacent receiving units. When the fouling layer thickness does not exceed the thickness standard, the length of the elastic transition member remains unchanged to maintain the distance between the receiving units.

[0051] The thickness standard is the critical value for judging whether the fouling layer thickness affects the reception of the thermal radiation phase shift signal. This standard can be obtained through experimental calibration, and the specific method is as follows: Perform multiple measurements under different fouling thickness conditions, and record the intensity and quality of the thermal radiation phase shift signal.

[0052] Analyze the relationship between the signal strength and the fouling thickness, and determine a critical value. When the fouling thickness exceeds this value, the signal quality will significantly decrease, affecting the measurement accuracy.

[0053] The thickness standard can be adjusted according to the actual application scenario. For example, in the case of high-precision requirements, a lower thickness standard can be set.

[0054] Specifically, the experimental equipment is as follows: Evaporator: The evaporator used for the experiment has a clean surface without fouling.

[0055] Fouling simulation device: Used to evenly apply fouling of different thicknesses on the surface of the evaporator.

[0056] Experimental procedure: 1. Prepare the experimental environment: Clean the surface of the evaporator to ensure there is no fouling, install the fouling thickness detection module, and ensure that all equipment is operating normally.

[0057] 2. Simulate the fouling layer: Use the fouling simulation device to evenly apply fouling on the surface of the evaporator, and set three groups of different fouling thicknesses respectively: The first group: The fouling thickness is 0.3 mm; The second group: The fouling thickness is 0.5 mm; The third group: The fouling thickness is 0.7 mm.

[0058] 3. Data acquisition: Measure each group of fouling thicknesses multiple times, record the intensity, phase shift amount, and signal quality of the thermal radiation phase shift signal, and use a thickness measurement tool to accurately measure the actual thickness of each group of fouling to ensure the accuracy of the data.

[0059] 4. Data analysis: Analyze each group of data and evaluate the influence of the fouling thickness on the thermal radiation phase shift signal.

[0060] Calculate the relationship between the signal strength and the fouling thickness, and determine the critical point at which the signal quality decreases.

[0061] Experimental data: The first group of data (fouling thickness 0.3 mm): Fouling thickness: 0.3 mm, Signal strength: 8, Phase shift amount: 2.0, Signal quality: 95%; The second group of data (fouling thickness 0.5 mm): Fouling thickness: 0.5 mm, Signal strength: 70, Phase shift amount: 2.5, Signal quality: 85%; The third group of data (fouling thickness 0.7 mm): Dirt thickness: 0.7 mm, signal strength: 50, phase shift amount: 3.0, signal quality: 65%; Signal strength analysis: 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%.

[0062] From the perspective of signal quality, when the dirt thickness increases from 0.3 mm to 0.5 mm, the signal quality drops by 10 percentage points. When the dirt thickness increases from 0.5 mm to 0.7 mm, the signal quality further drops by 20 percentage points.

[0063] It can be seen that when the dirt thickness exceeds 0.5 mm, the signal quality drops significantly and the signal strength decreases significantly. Therefore, 0.5 mm can be used as the thickness standard.

[0064] By dynamically adjusting the distance between receiving units according to the dirt layer thickness, it can ensure that the reception of the thermal radiation phase shift signal is always in the best state, thereby improving the accuracy of dirt thickness measurement. When the dirt layer thickness exceeds the thickness standard, shortening the distance between receiving units can reduce the attenuation and interference during signal transmission, enhance the stability and reliability of the signal. This adaptive adjustment mechanism can effectively cope with the situation where the dirt layer thickness changes greatly and avoid measurement errors caused by fixed layouts.

[0065] Please refer to Figure 4 as shown, which is a schematic structural diagram of the evaporation efficiency calculation module of an embodiment of the present invention, including: A model building unit for building an efficiency calculation model; A processing unit connected to the model building unit for cutting the dirt layer thickness at a standard sampling rate to form thickness pre-data, where the standard sampling rate is the sampling rate that the efficiency calculation model can recognize, and for a single cut, the corresponding standard sampling rate is a single sampling rate; A calculation unit connected to the processing unit for calling the efficiency calculation model in response to the input of the thickness pre-data and starting the learning process of the efficiency calculation model to obtain the evaporation efficiency; An issuing unit connected to the calculation unit, provided with a passing standard for screening the evaporation efficiency using the passing standard.

[0066] In a specific implementation, a neural network is selected as the mathematical model for calculating the evaporator efficiency. Based on the design parameters of the evaporator (such as area, material, fluid properties, etc.) and operating conditions (such as temperature, flow rate, etc.), the initial parameters of the efficiency calculation model are set. The standard sampling rate is set to 10 data points per second. The passing standard is set that the evaporation efficiency is not less than 80%.

[0067] Specifically, a fouling simulation device is used to evenly apply different thicknesses of fouling on the evaporator surface, and three groups of different fouling thicknesses are set respectively: The first group: the fouling thickness is 0.1 mm; The second group: the fouling thickness is 0.3 mm; The third group: the fouling thickness is 0.5 mm.

[0068] Multiple tests are carried out for each group of fouling thicknesses, and the operating parameters of the evaporator are recorded, including the inlet and outlet temperatures, flow rates, pressures, etc. The efficiency calculation module is used to process and calculate each group of data to obtain the evaporation efficiency of the evaporator.

[0069] When the fouling thickness is 0.1 mm, the evaporation efficiency is 95% and the standard deviation is 1.2%.

[0070] When the fouling thickness increases to 0.3 mm, the evaporation efficiency drops to 85% and the standard deviation is 1.5%.

[0071] When the fouling thickness further increases to 0.5 mm, the evaporation efficiency further drops to 75% and the standard deviation is 2.0%.

[0072] It can be seen from the data that as the fouling thickness increases, the evaporation efficiency decreases significantly. According to the experimental data, when the fouling thickness is 0.3 mm, the evaporation efficiency is 85%. Although this efficiency level is lower than the optimal state (95%), it is still within the acceptable range. Therefore, 85% can be used as the passing standard.

[0073] When the evaporation efficiency is lower than 85%, it indicates that the fouling layer thickness may exceed 0.3 mm, and cleaning or optimization operations are required.

[0074] By cutting and processing the fouling layer thickness data according to the standard sampling rate, it can 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.

[0075] Specifically, building the efficiency calculation model also includes: Select the fouling layer thickness as the input layer of the efficiency calculation model, and determine the number of hidden layers of the efficiency calculation model to form the efficiency calculation model, wherein the number of hidden layers is adjusted according to the size of the qualified standard.

[0076] Specifically, the screening of the evaporation efficiency further includes: In response to the evaporation efficiency reaching the qualified standard, record the current operating parameters and do not adjust the cleaning frequency, wherein the operating parameters include the cleaning frequency, the operating time, and the operating temperature.

[0077] Specifically, for the optimization configuration module, it further includes: Calculate the difference between the evaporation efficiency and the qualified standard, and adjust the cleaning frequency according to the difference according to a preset adjustment strategy.

[0078] In a specific implementation, the adjustment strategy is the key mechanism for dynamically adjusting the cleaning frequency according to the difference between the evaporation efficiency and the qualified standard. This strategy aims to ensure that the operating efficiency of the evaporator always remains above the qualified standard, while avoiding unnecessary cleaning operations to reduce equipment wear and energy waste.

[0079] Specifically, the adjustment strategy adopts a stepped 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.

[0080] If the qualified standard - the current efficiency ≤ 5%, the cleaning frequency is increased by 10%.

[0081] If 5% < the qualified standard - the current efficiency ≤ 10%, the cleaning frequency is increased by 20%.

[0082] If the qualified standard - the current efficiency > 10%, the cleaning frequency is increased by 30%.

[0083] On the other hand, the present invention provides a coupled hydrogen energy heat pump intelligent adaptation device for monitoring a plurality of evaporators in a heat pump, which is characterized by including: An air quality sensing device for real-time collecting the particulate matter concentration in the air, and triggering the fouling layer thickness detection in response to the particulate matter concentration exceeding the concentration threshold, wherein the concentration threshold is related to the air quality condition and the pollution source characteristics of the area where the evaporator is located; A fouling thickness detection device connected to the air quality sensing device for detecting the fouling layer thickness on the surface of the evaporator; An evaporation efficiency calculation device connected to the fouling thickness detection device for calculating the evaporation efficiency of the evaporator according to the fouling layer thickness and determining whether the evaporation efficiency reaches the qualified standard; An optimization configuration device is connected to an evaporation efficiency calculation device and is used to adjust the cleaning frequency of the evaporator in response to the evaporation efficiency not reaching the qualified standard.

[0084] So far, the technical solution of the present invention has been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0085] The above are only the preferred embodiments of the present invention and are not used to limit the present invention; for those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A coupled hydrogen energy heat pump intelligent adaptation system for monitoring several evaporators in a heat pump, characterized in that, Including: An air quality sensing module for real-time collection of particulate matter concentration in the air and triggering dirt layer thickness detection in response to the particulate matter concentration exceeding a concentration threshold, where the concentration threshold is related to the air quality condition and pollution source characteristics in the area where the evaporator is located; A dirt thickness detection module connected to the air quality sensing module for detecting the dirt layer thickness 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 based on the dirt layer thickness 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 not meeting the qualified standard.

2. The coupled hydrogen energy heat pump intelligent adaptation system according to claim 1, characterized in that The air quality sensing module includes: A number of particulate matter sensors co-located with the evaporator, installed in the corresponding area of the evaporator for real-time collection of the particulate matter concentration; A concentration threshold unit connected to the particulate matter sensor, provided with the concentration threshold for screening the particulate matter concentration according to the concentration threshold; A triggering unit connected to the concentration threshold unit for issuing a thickness detection instruction in response to the particulate matter concentration exceeding the concentration threshold.

3. The coupled hydrogen energy heat pump intelligent adaptation system according to claim 2, characterized in that, 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, arranged at the interface between the dirt layer and the evaporator for receiving the thermal radiation phase shift signal reflected by the interface; A thickness calculation unit connected to the receiving unit for calculating the time offset of the thermal radiation phase shift signal to calculate the dirt layer thickness.

4. The coupled hydrogen energy heat pump intelligent adaptation system according to claim 3, characterized in that The receiving units are connected in series through an elastic transition member, where the length of the elastic transition member is adjusted in real time according to the distance between the receiving units.

5. The coupled hydrogen energy heat pump intelligent adaptation system according to claim 4, characterized in that, A thickness standard is also set in the receiving unit. In response to the dirt layer thickness exceeding the thickness standard, the distance between adjacent receiving units is shortened to reduce the length of the elastic transition member, and in response to the dirt layer thickness not exceeding the thickness standard, the distance between adjacent receiving units remains unchanged, where the thickness standard is the critical value for judging whether the dirt layer thickness affects the reception of the thermal radiation phase shift signal.

6. The coupled hydrogen energy heat pump intelligent adaptation system according to claim 5, wherein The evaporation efficiency calculation module includes: A model building unit for building an efficiency calculation model; A processing unit connected to the model building unit for cutting the dirt layer thickness at a standard sampling rate to form thickness pre-data, where the standard sampling rate is the sampling rate that the efficiency calculation model can recognize, and for a single cut, the corresponding standard sampling rate is a single sampling rate; A calculation unit connected to the processing unit for calling the efficiency calculation model in response to the input of the thickness pre-data and starting the learning process of the efficiency calculation model to obtain the 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.

7. The coupled hydrogen energy heat pump intelligent adaptation system according to claim 6, 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.

8. The coupled hydrogen energy heat pump intelligent adaptation system according to claim 7, wherein, 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.

9. The coupled hydrogen energy heat pump intelligent adaptation system according to claim 8, wherein, 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.

10. A coupled hydrogen energy heat pump intelligent adaptation device for monitoring a plurality of evaporators in a heat pump, characterized in that, include: 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; 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; 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; 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.

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