Heat pump leakage monitoring and early warning system based on intelligent monitoring

Abstract

The present invention discloses a heat pump leakage monitoring and early warning system based on intelligent monitoring. The system comprises: a first monitoring module for monitoring the concentration of refrigerant in the heat pump system and comparing it with a preset concentration to obtain a first comparison result; a second monitoring module for monitoring the amount of refrigerant in the heat pump system and comparing it with a preset amount to obtain a second comparison result; and an alarm module for issuing an alarm when a refrigerant leakage event is determined based on the first and second comparison results. When a heat pump leak is detected, the early warning mechanism is triggered promptly to prevent large-scale refrigerant leakage, reduce the risk of explosion, and improve application safety.

Description

Technical Field

[0001] The present invention relates to the technical field of heat pump systems, and in particular to a heat pump leakage monitoring and early warning system based on intelligent monitoring. Background Art

[0002] The continuous development and application of R290 variable-frequency heat pump systems have greatly improved people's lives. However, during their use, failure to accurately monitor heat pump leaks can easily lead to large refrigerant leaks, posing a risk of explosion and a significant safety hazard. Summary of the Invention

[0003] The present invention aims to at least partially address one of the technical problems encountered in the aforementioned technologies. To this end, the present invention provides a heat pump leakage monitoring and early warning system based on intelligent monitoring. When a heat pump leak is detected, an early warning mechanism is triggered promptly to prevent large-scale refrigerant leakage, reduce the risk of explosion, and improve application safety.

[0004] To achieve the above objectives, an embodiment of the present invention proposes a heat pump leakage monitoring and early warning system based on intelligent monitoring, comprising:

[0005] A first monitoring module is used to monitor the concentration of the refrigerant in the heat pump system and compare it with a preset concentration to obtain a first comparison result;

[0006] The second monitoring module is used to monitor the amount of refrigerant in the heat pump system and compare it with a preset amount to obtain a second comparison result;

[0007] The alarm module is used to issue an alarm prompt when it is determined that a refrigerant leakage event has occurred based on the first comparison result and the second comparison result.

[0008] According to some embodiments of the present invention, the first monitoring module includes:

[0009] Generate modules for:

[0010] Emit infrared light to the refrigerant in the heat pump system;

[0011] Collecting several infrared spectral lines generated by infrared light irradiating the refrigerant, calculating the wavelength of each infrared spectral line, and screening out infrared spectral lines with wavelengths within a preset wavelength range as target infrared spectral lines;

[0012] Calculating the absorbance of each target infrared spectrum line, and generating a first infrared spectrum graph according to the wavelength and absorbance of each target infrared spectrum line;

[0013] Smoothing the first infrared spectrum based on a sliding average method, estimating a spectral baseline from the smoothed first infrared spectrum based on polynomial fitting, and correcting the baseline in the first infrared spectrum to obtain a second infrared spectrum;

[0014] The output module is used to obtain a refrigerant measurement curve in the heat pump system according to the second infrared spectrum, input the refrigerant measurement curve into a pre-trained refrigerant concentration detection model, and output the refrigerant concentration.

[0015] According to some embodiments of the present invention, the second monitoring module includes:

[0016] The first determining module is configured to:

[0017] emitting a laser beam into a refrigerant storage container;

[0018] receiving a laser ultrasonic signal generated by the laser beam after passing through the refrigerant storage container and generating an internal image of the refrigerant storage container;

[0019] Match the internal image with the preset internal image, calculate the matching degree of each corresponding pixel point, and select the pixel points with a matching degree less than a preset threshold as the target pixel points; connect the target pixel points based on the preset rules to obtain several refrigerant images; select the refrigerant image with the largest image area as the target image;

[0020] Extract features of the target image and determine the liquid level information of the refrigerant in the target image;

[0021] The second determining module is configured to:

[0022] Determine the position information of the pixel points corresponding to the liquid level information in the internal image;

[0023] Sending sound wave signals to several regional points included in the location information, and receiving echo signals generated when the sound wave signals reach the regional points;

[0024] The attenuation values of the echo signals are calculated respectively, and the depth value of each regional point is determined according to the attenuation values of the echo signals; an average depth value is calculated according to the depth value of each regional point as the amount of refrigerant in the refrigerant storage container.

[0025] According to some embodiments of the present invention, the alarm module is configured to issue an alarm when it is determined that the first comparison result is that the concentration of the refrigerant is less than a preset concentration and the second comparison result is that the amount of the refrigerant is less than a preset amount, indicating that a refrigerant leakage event has occurred.

[0026] According to some embodiments of the present invention, the method further includes: a position detection module, which is used to determine the refrigerant leakage location after determining that a refrigerant leakage event has occurred, and send the location to the user terminal for display.

[0027] According to some embodiments of the present invention, the position detection module includes:

[0028] A detection module, used to detect temperature information of various components in the heat pump system after determining that a refrigerant leakage event has occurred;

[0029] Comparison module, used to:

[0030] Generate a thermal conduction model of each component based on the temperature information of each component;

[0031] The thermal conductivity model of each component is compared with the preset thermal conductivity model, and the refrigerant leakage location is determined based on the comparison results and sent to the user terminal for display.

[0032] According to some embodiments of the present invention, the detection module includes:

[0033] An acquisition module, used to acquire infrared thermal images of each component;

[0034] A preprocessing module is used to preprocess the infrared thermal image of each component to obtain a target infrared thermal image;

[0035] The third determining module is used to query a pre-built three-dimensional infrared thermal image model according to the target infrared thermal image to determine the temperature information of the component.

[0036] According to some embodiments of the present invention, the pre-processing module is used to perform image noise reduction processing on the infrared thermal image of each component to obtain a target infrared thermal image.

[0037] According to some embodiments of the present invention, a method for constructing a thermal conductivity model is provided, including:

[0038] Establish the first forward heat conduction model of each component in the heat pump system;

[0039]

[0040] Where W(s) is the first heat transfer model; r i is the thermal resistance of the i-th component in the forward direction; t i is the heat transfer time of the i-th component in the positive direction; s is the material coefficient of each component; N is the number of components;

[0041] Establish a reverse second heat conduction model of each component in the heat pump system;

[0042]

[0043] Where U(s) is the second thermal conductivity model; C1 is the thermal capacitance of the first reverse component; R1 is the thermal resistance of the first reverse component; R Nis the thermal resistance of the Nth component in reverse direction;

[0044] Performing model verification on the first heat conduction model and the second heat conduction model;

[0045]

[0046] Wherein, Q is the numerical value for model verification of the first heat conduction model and the second heat conduction model; sgn is the sign function; exp is the logarithmic function; f is the operating frequency of the heat pump system; U1 is the operating voltage of the heat pump system; U0 is the rated voltage of the heat pump system;

[0047] When the values for model verification of the first heat conduction model and the second heat conduction model are determined to be preset values, a preset heat conduction model is obtained; the preset heat conduction model includes the first heat conduction model and the second heat conduction model.

[0048] According to some embodiments of the present invention, the alarm module is an audible and visual alarm.

[0049] The present invention discloses a heat pump leakage monitoring and early warning system based on intelligent monitoring. When a heat pump leakage is detected, the early warning mechanism is triggered in time to avoid large-scale leakage of refrigerant, reduce the risk of explosion, and improve application safety.

[0050] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0051] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0053] Figure 1 is a block diagram of a heat pump leakage monitoring and early warning system based on intelligent monitoring according to one embodiment of the present invention;

[0054] Figure 2 is a block diagram of a first monitoring module according to one embodiment of the present invention;

[0055] Figure 3 is a block diagram of a second monitoring module according to one embodiment of the present invention. DETAILED DESCRIPTION

[0056] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0057] like Figure 1 As shown, the embodiment of the present invention proposes a heat pump leakage monitoring and early warning system based on intelligent monitoring, including:

[0058] A first monitoring module is used to monitor the concentration of the refrigerant in the heat pump system and compare it with a preset concentration to obtain a first comparison result;

[0059] The second monitoring module is used to monitor the amount of refrigerant in the heat pump system and compare it with a preset amount to obtain a second comparison result;

[0060] The alarm module is used to issue an alarm prompt when it is determined that a refrigerant leakage event has occurred based on the first comparison result and the second comparison result.

[0061] The working principle of the above technical solution: In this embodiment, the preset concentration is the concentration of the refrigerant when no leakage occurs in the heat pump system. The preset amount is the amount of refrigerant present when no leakage occurs in the heat pump system. Based on the first monitoring module, the concentration of the refrigerant in the heat pump system is compared with the concentration of the refrigerant when no leakage occurs; based on the second monitoring module, the amount of refrigerant present in the heat pump system is compared with the amount of refrigerant present when no leakage occurs in the heat pump system. Comprehensive monitoring of the concentration and amount of refrigerant in the heat pump system is carried out, and whether a refrigerant leakage event has occurred is determined based on the first and second comparison results, thereby improving the comprehensiveness and accuracy of the judgment.

[0062] The beneficial effects of the above technical solution are: when a heat pump leak is detected, the early warning mechanism is triggered in time to avoid large-scale leakage of refrigerant, reduce the risk of explosion, and improve application safety.

[0063] like Figure 2 As shown, according to some embodiments of the present invention, the first monitoring module includes:

[0064] Generate modules for:

[0065] Emit infrared light to the refrigerant in the heat pump system;

[0066] Collecting several infrared spectral lines generated by infrared light irradiating the refrigerant, calculating the wavelength of each infrared spectral line, and screening out infrared spectral lines with wavelengths within a preset wavelength range as target infrared spectral lines;

[0067] Calculating the absorbance of each target infrared spectrum line, and generating a first infrared spectrum graph according to the wavelength and absorbance of each target infrared spectrum line;

[0068] Smoothing the first infrared spectrum based on a sliding average method, estimating a spectral baseline from the smoothed first infrared spectrum based on polynomial fitting, and correcting the baseline in the first infrared spectrum to obtain a second infrared spectrum;

[0069] The output module is used to obtain a refrigerant measurement curve in the heat pump system according to the second infrared spectrum, input the refrigerant measurement curve into a pre-trained refrigerant concentration detection model, and output the refrigerant concentration.

[0070] The working principle of the above technical solution: In this embodiment, the preset range is a wavelength of 2.5 to 25 microns. The target infrared spectrum line is the mid-infrared spectrum, which facilitates the determination of valid spectral data and avoids the influence of other noise data.

[0071] In this embodiment, the absorbance of each target infrared spectrum line is calculated: A = -log 10 (H / H0), where A is the absorbance; H is the transmittance of the refrigerant to infrared light of a specific wavelength; and H0 is the transmittance of infrared light incident on the refrigerant. In a graph, take each wavelength as the x-axis and the corresponding absorbance as the y-axis, and then draw a scatter plot of all the points to obtain the first infrared spectrum.

[0072] In this embodiment, a sliding average method is used to smooth the raw spectral data to reduce noise and data fluctuations. A polynomial fitting method is used to estimate the spectral baseline. The baseline generally represents the light intensity level when there are no absorption peaks. The estimated baseline is subtracted from the raw spectral data to obtain a corrected spectrum, i.e., a second infrared spectrum.

[0073] In this embodiment, key information, namely the absorbance values at each wavelength, is extracted from the second infrared spectrum. These data points constitute the measurement curve of the refrigerant. The extracted refrigerant measurement curve is input into a pre-trained refrigerant concentration detection model. The refrigerant concentration detection model is based on a machine learning algorithm, such as a support vector machine (SVM), an artificial neural network (ANN) or other algorithms suitable for such tasks. In the model training stage, spectral data of refrigerant samples of different concentrations are already included, and these data are used to train the model so that it can identify refrigerants of different concentrations.

[0074] The beneficial effects of the above technical solution are as follows: based on emitting infrared light to the refrigerant in the heat pump system and performing data processing and analysis, a second infrared spectrum is obtained, and a refrigerant measurement curve in the heat pump system is obtained according to the second infrared spectrum. The refrigerant measurement curve is input into a pre-trained refrigerant concentration detection model, and the concentration of the refrigerant is output, thereby improving the accuracy of the detected refrigerant.

[0075] like Figure 3As shown, according to some embodiments of the present invention, the second monitoring module includes:

[0076] The first determining module is configured to:

[0077] emitting a laser beam into a refrigerant storage container;

[0078] receiving a laser ultrasonic signal generated by the laser beam after passing through the refrigerant storage container and generating an internal image of the refrigerant storage container;

[0079] Match the internal image with the preset internal image, calculate the matching degree of each corresponding pixel point, and select the pixel points with a matching degree less than a preset threshold as the target pixel points; connect the target pixel points based on the preset rules to obtain several refrigerant images; select the refrigerant image with the largest image area as the target image;

[0080] Extract features of the target image and determine the liquid level information of the refrigerant in the target image;

[0081] The second determining module is configured to:

[0082] Determine the position information of the pixel points corresponding to the liquid level information in the internal image;

[0083] Sending sound wave signals to several regional points included in the location information, and receiving echo signals generated when the sound wave signals reach the regional points;

[0084] The attenuation values of the echo signals are calculated respectively, and the depth value of each regional point is determined according to the attenuation values of the echo signals; an average depth value is calculated according to the depth value of each regional point as the amount of refrigerant in the refrigerant storage container.

[0085] The working principle and beneficial effects of the above technical solution are as follows: In this embodiment, the preset internal image is an image obtained when a normal amount of refrigerant is present in the refrigerant storage container. Based on the first determination module, a laser beam is emitted into the refrigerant storage container; a laser ultrasonic signal generated by the laser beam after passing through the refrigerant storage container is received, and an internal image of the refrigerant storage container is generated. The internal image is matched with the preset internal image, and the matching degree of each corresponding pixel is calculated. Pixels with a matching degree less than a preset threshold value of 0.95 are selected as target pixels. The preset rule is the nearest principle, and the refrigerant at the same location on the inner wall of the refrigerant storage container is calibrated to facilitate subsequent monitoring; the target pixel points are connected based on the preset rules to obtain several refrigerant images; the refrigerant image with the largest image area is selected as the target image; feature extraction is performed on the target image to determine the liquid level information of the refrigerant in the target image; the position information of the pixel point corresponding to the liquid level information in the internal image is determined; an acoustic wave signal is sent to several regional points included in the position information, and the echo signal generated by the acoustic wave signal reaching the regional point is received; the attenuation value of the echo signal is calculated respectively, and the depth value of each regional point is determined based on the attenuation value of the echo signal; the average depth value is calculated based on the depth value of each regional point as the amount of refrigerant present in the refrigerant storage container. The attenuation value of the echo signal is calculated respectively, and the depth value of each regional point is determined based on the attenuation value of the echo signal, including: amplitude attenuation: comparing the amplitude of the transmitted signal with the amplitude of the echo signal. The amount of amplitude reduction (attenuation) is usually related to the distance (i.e., depth) of the signal propagation. Time delay: Measures the time difference (time delay) from the transmitted signal to the received echo signal. Time delay is also proportional to depth. Convert to attenuation value: Calculate the attenuation value based on the amplitude attenuation or time delay (time delay is usually more common). This usually involves converting the time delay to distance (depth) and then calculating the attenuation value based on the characteristics of signal propagation (such as the attenuation rate). Direct use of time delay: If the propagation speed of the signal in the medium is known (such as the speed of sound waves in air), the time delay can be directly multiplied by the speed to obtain the depth value. Accurately determine the amount of refrigerant present in the refrigerant storage container.

[0086] According to some embodiments of the present invention, the alarm module is configured to issue an alarm when it is determined that the first comparison result is that the concentration of the refrigerant is less than a preset concentration and the second comparison result is that the amount of the refrigerant is less than a preset amount, indicating that a refrigerant leakage event has occurred.

[0087] According to some embodiments of the present invention, the method further includes: a position detection module, which is used to determine the refrigerant leakage location after determining that a refrigerant leakage event has occurred, and send the location to the user terminal for display.

[0088] The working principle and beneficial effects of the above technical solution: After determining that a refrigerant leakage event has occurred, the refrigerant leakage location is determined and sent to the user terminal for display, so as to facilitate timely determination of the refrigerant leakage location and timely processing to avoid further refrigerant leakage.

[0089] According to some embodiments of the present invention, the position detection module includes:

[0090] A detection module, used to detect temperature information of various components in the heat pump system after determining that a refrigerant leakage event has occurred;

[0091] Comparison module, used to:

[0092] Generate a thermal conduction model of each component based on the temperature information of each component;

[0093] The thermal conductivity model of each component is compared with the preset thermal conductivity model, and the refrigerant leakage location is determined based on the comparison results and sent to the user terminal for display.

[0094] The working principle and beneficial effects of the above technical solution: In this embodiment, when the heat pump system is operating normally, the temperature of each component in the heat pump system is balanced, that is, there is a corresponding thermal conductivity model between each component, that is, the preset thermal conductivity model. After determining that a refrigerant leakage event has occurred, the temperature information of each component in the heat pump system is detected; the thermal conductivity model of each component is generated based on the temperature information of each component; the thermal conductivity model of each component is compared with the preset thermal conductivity model, and the abnormal component is compared first, which is the location of the refrigerant leakage, and is sent to the user terminal for display. Based on the consideration of the thermal conductivity balance of each component in the heat pump system, the fault location is detected to improve the accuracy of the detection.

[0095] According to some embodiments of the present invention, the detection module includes:

[0096] An acquisition module, used to acquire infrared thermal images of each component;

[0097] A preprocessing module is used to preprocess the infrared thermal image of each component to obtain a target infrared thermal image;

[0098] The third determining module is used to query a pre-built three-dimensional infrared thermal image model according to the target infrared thermal image to determine the temperature information of the component.

[0099] The working principle and beneficial effects of the above technical solution are as follows: The infrared thermal image of each component is acquired and preprocessed to obtain the target infrared thermal image; this improves the accuracy of the target infrared thermal image and avoids the influence of noise points on temperature determination. The pre-built 3D infrared thermal image model is a three-dimensional database or file containing temperature information for each point, facilitating accurate determination of component temperature information.

[0100] According to some embodiments of the present invention, the pre-processing module is used to perform image noise reduction processing on the infrared thermal image of each component to obtain a target infrared thermal image.

[0101] According to some embodiments of the present invention, a method for constructing a thermal conductivity model is provided, including:

[0102] Establish the first forward heat conduction model of each component in the heat pump system;

[0103]

[0104] Where W(s) is the first heat transfer model; r i is the thermal resistance of the i-th component in the forward direction; t i is the heat transfer time of the i-th component in the positive direction; s is the material coefficient of each component; N is the number of components;

[0105] Establish a reverse second heat conduction model of each component in the heat pump system;

[0106]

[0107] Where U(s) is the second thermal conductivity model; C1 is the thermal capacitance of the first reverse component; R1 is the thermal resistance of the first reverse component; R N is the thermal resistance of the Nth component in reverse direction;

[0108] Performing model verification on the first heat conduction model and the second heat conduction model;

[0109]

[0110] Wherein, Q is the numerical value for model verification of the first heat conduction model and the second heat conduction model; sgn is the sign function; exp is the logarithmic function; f is the operating frequency of the heat pump system; U1 is the operating voltage of the heat pump system; U0 is the rated voltage of the heat pump system;

[0111] When the values for model verification of the first heat conduction model and the second heat conduction model are determined to be preset values, a preset heat conduction model is obtained; the preset heat conduction model includes the first heat conduction model and the second heat conduction model.

[0112] The working principle and benefits of the above technical solution are as follows: A first forward heat conduction model is established for each component in the heat pump system, i.e., the forward flow of the refrigerant is considered the forward direction, and the opposite direction is considered the reverse direction. A second reverse heat conduction model is established for each component in the heat pump system, and the first and second heat conduction models are model-verified. When the values obtained from the model-verification of the first and second heat conduction models are determined to be preset values, a preset heat conduction model is obtained; the preset heat conduction model includes the first and second heat conduction models. The preset value is 0, which facilitates obtaining an accurate preset heat conduction model. The temperature equilibrium state model of each component is accurately determined when the heat pump system is in a normal state.

[0113] According to some embodiments of the present invention, the alarm module is an audible and visual alarm.

[0114] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A heat pump leakage monitoring and early warning system based on intelligent monitoring, characterized in that: include: A first monitoring module is used to monitor the concentration of the refrigerant in the heat pump system and compare it with a preset concentration to obtain a first comparison result; A second monitoring module is used to monitor the amount of refrigerant in the refrigerant storage container of the heat pump system and compare it with a preset amount to obtain a second comparison result; The alarm module is used to indicate that a refrigerant leakage event has occurred and issue an alarm prompt when it is determined that the first comparison result is that the concentration of the refrigerant is less than a preset concentration and the second comparison result is that the amount of the refrigerant is less than a preset amount.

2. The heat pump leakage monitoring and early warning system based on intelligent monitoring according to claim 1, characterized in that: The first monitoring module includes: Generate modules for: Emit infrared light to the refrigerant in the heat pump system; Collecting several infrared spectral lines generated by infrared light irradiating the refrigerant, calculating the wavelength of each infrared spectral line, and screening out infrared spectral lines with wavelengths within a preset wavelength range as target infrared spectral lines; Calculating the absorbance of each target infrared spectrum line, and generating a first infrared spectrum graph according to the wavelength and absorbance of each target infrared spectrum line; Smoothing the first infrared spectrum based on a sliding average method, estimating a spectral baseline from the smoothed first infrared spectrum based on polynomial fitting, and correcting the baseline in the first infrared spectrum to obtain a second infrared spectrum; The output module is used to obtain a refrigerant measurement curve in the heat pump system according to the second infrared spectrum, input the refrigerant measurement curve into a pre-trained refrigerant concentration detection model, and output the refrigerant concentration.

3. The heat pump leakage monitoring and early warning system based on intelligent monitoring according to claim 1, characterized in that: The second monitoring module includes: The first determining module is configured to: emitting a laser beam into a refrigerant storage container; receiving a laser ultrasonic signal generated by the laser beam after passing through the refrigerant storage container and generating an internal image of the refrigerant storage container; Match the internal image with the preset internal image, calculate the matching degree of each corresponding pixel point, and select the pixel points with a matching degree less than a preset threshold as the target pixel points; connect the target pixel points based on the preset rules to obtain several refrigerant images; select the refrigerant image with the largest image area as the target image; Extract features of the target image and determine the liquid level information of the refrigerant in the target image; The second determining module is configured to: Determine the position information of the pixel points corresponding to the liquid level information in the internal image; Sending sound wave signals to several regional points included in the location information, and receiving echo signals generated when the sound wave signals reach the regional points; The attenuation values of the echo signals are calculated respectively, and the depth value of each regional point is determined according to the attenuation values of the echo signals; an average depth value is calculated according to the depth value of each regional point as the amount of refrigerant in the refrigerant storage container.

4. The heat pump leakage monitoring and early warning system based on intelligent monitoring according to claim 1, characterized in that: Also includes: The location detection module is used to determine the refrigerant leakage location after determining that a refrigerant leakage event has occurred, and send it to the user terminal for display.

5. The heat pump leakage monitoring and early warning system based on intelligent monitoring according to claim 4, characterized in that: The position detection module includes: A detection module, used to detect temperature information of various components in the heat pump system after determining that a refrigerant leakage event has occurred; Comparison module, used to: Generate a thermal conduction model of each component based on the temperature information of each component; The thermal conductivity model of each component is compared with the preset thermal conductivity model, and the refrigerant leakage location is determined based on the comparison results and sent to the user terminal for display.

6. The heat pump leakage monitoring and early warning system based on intelligent monitoring according to claim 5, characterized in that: Detection module, including: An acquisition module, used to acquire infrared thermal images of each component; A preprocessing module is used to preprocess the infrared thermal image of each component to obtain a target infrared thermal image; The third determining module is used to query a pre-built three-dimensional infrared thermal image model according to the target infrared thermal image to determine the temperature information of the component.

7. The heat pump leakage monitoring and early warning system based on intelligent monitoring according to claim 6, characterized in that: The pre-processing module is used to perform image noise reduction processing on the infrared thermal image of each component to obtain a target infrared thermal image.

8. The heat pump leakage monitoring and early warning system based on intelligent monitoring according to claim 5, characterized in that: Preset thermal conductivity model construction method, including: Establish the first forward heat conduction model of each component in the heat pump system; in, is the first heat transfer model; is the thermal resistance of the i-th component in the forward direction; is the heat transfer time of the i-th component in the forward direction; is the material coefficient of each component; is the number of components; Establish a reverse second heat conduction model of each component in the heat pump system; in, is the second heat conduction model; is the heat capacity of the first component in the reverse direction; is the thermal resistance of the first component in reverse direction; For the reverse Thermal resistance of each component; Performing model verification on the first heat conduction model and the second heat conduction model; in, are numerical values for model verification of the first heat conduction model and the second heat conduction model; is a symbolic function; is a logarithmic function; is the operating frequency of the heat pump system; is the operating voltage of the heat pump system; is the rated voltage of the heat pump system; When the values for model verification of the first heat conduction model and the second heat conduction model are determined to be preset values, a preset heat conduction model is obtained; the preset heat conduction model includes the first heat conduction model and the second heat conduction model.

9. The heat pump leakage monitoring and early warning system based on intelligent monitoring according to claim 1, characterized in that: The alarm module is an audible and visual alarm.

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