A non-contact liquid measurement method, device, electronic equipment and storage medium

Abstract

The application provides a kind of non-contact liquid measurement method, device, electronic equipment and storage medium, it is related to liquid measurement technical field.The method comprises the following steps: controlling radar device to emit detection wave to the liquid in the closed container, and receiving echo signal, while obtaining ambient temperature;According to the time length of receiving echo signal, the target distance is calculated;According to the target distance, the reflection signal intensity of the energy reflected at the liquid surface interface in the closed container is calculated;Based on the preset prediction model, according to the ambient temperature and the reflection signal intensity, the target parameter of the liquid in the closed container is measured.The method of the application aims to solve the problem of accurate measurement of the volume, density, mass and other parameter properties of the liquid in the closed container, and considers the influence of temperature on the liquid in the measurement, so that the penetration type measurement can be realized without opening the jar, without contaminating the liquid and without destroying the liquid composition.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of liquid measurement, in particular to a non-contact liquid measurement method and device, electronic equipment and storage medium. BACKGROUND

[0002] In many industrial fields such as food fermentation and alcohol brewing, the accurate measurement of the volume, density, mass and alcohol content of the liquid in an irregular container is still a problem to be solved. Taking base liquor in the liquor industry as an example, in the brewing and storage process of Maotai-flavor liquor, enterprises have long been challenged by the accurate measurement of base liquor. Because it is difficult to perform non-destructive and accurate measurement of the properties of base liquor in a closed container (i.e. measurement without opening the cover), it is difficult to realize the mortgage and credit expansion of core assets.

[0003] The temperature in the liquor storage warehouse of the liquor enterprise is not constant, and is greatly affected by the outside temperature. The known temperature in the liquor warehouse is about 0-30℃. In summer, the temperature is relatively high, reaching 30℃. In winter, the temperature is relatively low, dropping to 0℃. The density of the liquor is obviously affected by the temperature. In order to realize the non-contact accurate measurement of the density of the liquor in a closed container, the influence of temperature must be considered.

[0004] However, the prior art lacks a measurement method for non-destructive measurement of the properties of base liquor (liquid level, volume, density, alcohol content) in a closed container and meets the requirements of accuracy, non-contact, small power and explosion-proof (the main component of base liquor is ethanol, which is a flammable and explosive material. Therefore, the base liquor warehouse is a dangerous goods warehouse, and strict explosion-proof is required. Except for emergency equipment, no high-power equipment is allowed to be put in. The measurement method provided by the present application can realize non-contact measurement of the volume, density, mass and alcohol content of the liquid in a closed container, and can realize non-destructive measurement of the properties of the liquid in the container without opening the cover. SUMMARY

[0005] The present application provides a non-contact liquid measurement method, device, electronic equipment and storage medium, which aims to solve the problem of accurate measurement of the volume, density, mass and other parameters of the liquid in a closed container. The influence of temperature on the liquid is considered in the measurement, and the penetrating measurement can be realized without opening the cover, without polluting the liquid and without destroying the composition of the liquid.

[0006] In a first aspect, the present application provides a non-contact liquid measurement method applied to a measurement system for the liquid in a closed container, wherein the measurement system comprises a radar device fixedly attached above the closed container and an environmental temperature acquisition device, the radar device is used for emitting a detection wave to the liquid in the closed container and receiving a return wave signal; and the environmental temperature acquisition device is used for acquiring the environmental temperature of the closed container.

[0007] The non-contact liquid measurement method comprises the following steps:

[0008] S1. controlling the radar device to emit a detection wave to the liquid in the closed container and receive a return signal, while obtaining the ambient temperature of the closed container;

[0009] S2. calculating a target distance between the liquid surface in the closed container and the radar device according to the time length of receiving the return signal;

[0010] S3. calculating a reflection signal strength of the energy of the detection wave reflected at the liquid surface interface in the closed container according to the target distance;

[0011] S4. measuring a target parameter of the liquid in the closed container according to the ambient temperature and the reflection signal strength based on a preset prediction model.

[0012] The non-contact liquid measuring method provided by the application considers the influence of temperature on the liquid, and performs non-contact and lossless accurate measurement on the liquid level height and density of the liquid in the irregular closed container without opening the cover and polluting the quality of the liquid, so as to ensure that the user can clearly understand the properties of the liquid in the closed container, realize the estimation of the product value, and facilitate the fine management of the product.

[0013] Further, the specific steps in step S3 include:

[0014] S31. obtaining the thickness of the sealing material between the inner cavity of the closed container and the radar device;

[0015] S32. calculating the energy loss of the detection wave caused by the shielding of the sealing material according to the thickness of the sealing material;

[0016] S33. calculating the distance between the liquid surface in the closed container and the sealing material according to the thickness of the sealing material and the target distance;

[0017] S34. calculating the energy loss of the detection wave in the free space path and the energy loss of the detection wave caused by the absorption of gas molecules according to the distance between the liquid surface in the closed container and the sealing material;

[0018] S35. calculating the reflection signal strength according to the energy loss of the detection wave caused by the shielding of the sealing material, the energy loss of the detection wave in the free space path and the energy loss of the detection wave caused by the absorption of gas molecules.

[0019] Further, the specific steps in step S32 include:

[0020] The energy loss of the detection wave caused by the shielding of the sealing material is calculated according to the following formula:

[0021] ;

[0022] ;

[0023] The specific steps in step S33 include:

[0024] The distance between the liquid surface inside the closed container and the sealing material is calculated according to the following formula:

[0025] ;

[0026] The specific steps in step S34 include:

[0027] The energy loss of the probe wave in the free space path is calculated according to the following formula:

[0028] ;

[0029] The energy loss of the probe wave due to gas molecule absorption is calculated according to the following formula:

[0030] ;

[0031] wherein, is the energy loss of the probe wave in the free space path, is the energy loss of the probe wave due to gas molecule absorption, is the energy loss of the probe wave due to the shielding of the sealing material, is the distance between the liquid surface inside the closed container and the sealing material, is the preset working frequency of the probe wave, is the preset atmospheric attenuation coefficient, is the intensity reflection coefficient of the probe wave passing through the obstacle, is the preset attenuation coefficient of the sealing material, is the thickness of the sealing material, is the target distance, is the wave impedance of air, is the wave impedance of the obstacle.

[0032] Further, the specific steps in step S35 include:

[0033] A1. The reflected signal intensity is calculated according to the following formula:

[0034] ;

[0035] wherein, is the reflected signal intensity, is the received probe wave intensity.

[0036] Further, the specific steps in step S35 include:

[0037] B1. The reflected signal intensity is calculated according to the following formula:

[0038] ;

[0039] ;

[0040] wherein, is the reflected signal intensity, is the energy intensity of the probe wave when reaching the liquid surface inside the closed container, is the preset energy intensity reflection coefficient, is the intensity of the emitted probe wave, is the wave impedance of the liquid to be measured inside the closed container.

[0041] Further, the prediction model is established by the following steps:

[0042] A1. After the liquid sample is contained in the closed container and the closed container is placed in the constant temperature and humidity chamber, the humidity in the constant temperature and humidity chamber is controlled to remain unchanged, while the temperature in the constant temperature and humidity chamber is changed and the reflected signal intensity of the liquid sample surface inside the closed container at different temperatures in the constant temperature and humidity chamber is recorded;

[0043] A2. The target parameters of the liquid sample at different temperatures in the constant temperature and humidity chamber are measured and recorded by using the instrument;

[0044] A3. The reflected signal intensity of the liquid sample surface inside the closed container and the target parameters recorded at the same temperature in the constant temperature and humidity chamber are taken as a group of correlation data, and a plurality of groups of the correlation data are obtained;

[0045] A4. According to a plurality of groups of the correlation data, a preliminary prediction model is trained and verified, and after the preliminary prediction model passes the verification, it is taken as the final prediction model.

[0046] Further, when the liquid contained in the closed container is wine, the target parameters include the density and alcohol content of the wine.

[0047] In a second aspect, the present application provides a non-contact liquid measuring device applied to a measuring system for the liquid inside a closed container, wherein the measuring system comprises a radar device fixedly attached above the closed container and an ambient temperature acquisition device, the radar device is used for emitting a probe wave to the liquid inside the closed container and receiving a return wave signal, and the ambient temperature acquisition device is used for acquiring the ambient temperature where the closed container is located.

[0048] The non-contact liquid measuring device comprises:

[0049] The control module is configured to control the radar device to emit a detection wave to the liquid in the sealed container and receive a return wave signal, and to obtain an ambient temperature of the sealed container;

[0050] The first calculation module is configured to calculate a target distance between the liquid surface in the sealed container and the radar device according to a time length for receiving the return wave signal.

[0051] The second calculation module is configured to calculate a reflection signal strength of the energy of the detection wave reflected at the liquid surface interface in the sealed container according to the target distance.

[0052] The measurement module is configured to measure a target parameter of the liquid in the sealed container based on a preset prediction model according to the ambient temperature and the reflection signal strength.

[0053] The non-contact liquid measurement device provided by the present application can be measured by a non-contact radar, avoiding direct contact with the liquid, thereby achieving non-destructive measurement and improving safety.

[0054] In a third aspect, the present application provides an electronic device comprising a processor and a memory, wherein the memory stores computer readable instructions, and when the computer readable instructions are executed by the processor, the steps of the non-contact liquid measurement method provided in the first aspect are executed.

[0055] In a fourth aspect, the present application provides a computer readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the steps of the non-contact liquid measurement method provided in the first aspect are executed.

[0056] As can be seen from the above, the non-contact liquid measurement method provided by the present application emits a detection wave by a radar device and receives a return wave signal, obtains an ambient temperature by an ambient temperature acquisition device, and measures a target parameter of the liquid in the sealed container based on a preset prediction model according to the ambient temperature and the reflection signal strength. This method effectively solves the problem of precise measurement of the volume, density, mass and alcohol content of the liquid in an irregular container in the prior art, especially for the non-destructive and precise measurement of the base liquor in a sealed container. Through non-contact measurement, the opening operation is avoided, the risk of measurement in a flammable and explosive environment is reduced, and the method has the characteristics of small power and explosion-proof. The method overcomes the limitations of the prior art measurement method that cannot meet the characteristics of precision, non-destructive, small power and explosion-proof, thereby widening the practical application in the fields of food fermentation and alcohol brewing. The method can fully consider the influence of temperature on the density of the liquid, improve the measurement accuracy, and provide reliable data support for the mortgage and credit expansion of core assets.

[0057] Other features and advantages of the present application will be set forth in the description that follows, and in part will be apparent from the description, or can be learned by practice of the application. The purposes and other advantages of the present application will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings. BRIEF DESCRIPTION OF DRAWINGS

[0058] Figure 1 A flow chart of a non-contact liquid measuring method provided by an embodiment of the present application.

[0059] Figure 2 A structural diagram of a sealed container in an embodiment of the present application.

[0060] Figure 3 A structural diagram of a non-contact liquid measuring device provided by an embodiment of the present application.

[0061] Figure 4 A structural diagram of an electronic device provided by an embodiment of the present application.

[0062] LIST OF REFERENCES:

[0063] 100, control module; 200, first calculation module; 300, second calculation module; 400, measurement module; 13, electronic device; 1301, processor; 1302, memory; 1303, communication bus. DETAILED DESCRIPTION

[0064] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the accompanying drawings of the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. The components of the embodiments of the present application described and shown in the accompanying drawings can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the claimed present application, but only represents selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of protection of the present application.

[0065] It should be noted that: similar reference numerals and letters represent similar items in the following drawings, therefore, once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings. Meanwhile, in the description of the present application, the terms “first”, “second” and the like are only used to distinguish description, and cannot be understood as indicating or implying relative importance.

[0066] Reference is made to the accompanying drawings that form a part of this disclosure Figure 1The application provides a non-contact liquid measurement method, which is applied to a measurement system for measuring the liquid in a closed container. The measurement system comprises a radar device fixedly attached above the closed container and an ambient temperature acquisition device. The radar device is used for emitting a detection wave to the liquid in the closed container and receiving a return wave signal. The ambient temperature acquisition device is used for acquiring the ambient temperature of the closed container.

[0067] The non-contact liquid measurement method comprises the following steps:

[0068] S1. Emitting a detection wave to the liquid in the closed container by the radar device, receiving a return wave signal, and acquiring the ambient temperature of the closed container at the same time.

[0069] S2. Calculating the target distance between the liquid surface in the closed container and the radar device according to the time length of the received return wave signal.

[0070] S3. Calculating the reflection signal strength of the energy of the detection wave reflected at the liquid surface interface in the closed container according to the target distance.

[0071] S4. Measuring the target parameter of the liquid in the closed container according to the ambient temperature and the reflection signal strength based on a preset prediction model.

[0072] The measurement system applied in the application is characterized by the cooperative work of the radar device and the ambient temperature acquisition device. The radar device is a non-contact sensor, and its working principle is to emit a detection wave to a target and receive a return wave signal reflected by the target, and to obtain target information by analyzing the characteristics of the return wave signal. In the application, the radar device is fixedly attached above the closed container, and is used for emitting a detection wave to the liquid in the closed container and receiving a return wave signal. The ambient temperature acquisition device is used for acquiring the ambient temperature of the closed container in real time, and provides important environmental correction data for subsequent target parameter measurement. The closed container can be a container commonly used in industrial production or storage, such as a fermentation tank, a wine storage tank, etc., and the liquid contained in the container can be wine, fermentation liquid or other liquid to be measured. The target parameter refers to the property of the liquid to be measured, such as the density, alcohol content, volume, etc. of the liquid. The prediction model is a mathematical model trained based on a large amount of experimental data, and is used to establish the mapping relationship between the ambient temperature, the reflection signal strength and the target parameter.

[0073] The non-contact liquid measurement method of the application is characterized by realizing the accurate measurement of the target parameter of the liquid in the closed container through a series of steps.

[0074] Firstly, in step S1, the radar device needs to be controlled to emit a detection wave to the liquid inside the closed container and receive a return signal, while obtaining the ambient temperature of the environment where the closed container is located. Specifically, the radar device can be configured to emit detection waves periodically, for example, once every certain time interval, to ensure that the state of the liquid can be continuously monitored. The type of detection wave can be an electromagnetic wave, such as a microwave radar, or an ultrasonic wave. When a microwave radar is used, the radar device emits electromagnetic waves of a specific frequency, which penetrate the container wall and reach the liquid surface and are reflected. The return signal is received by the radar device. At the same time, the ambient temperature acquisition device acquires the ambient temperature of the environment where the closed container is located in real time, for example, by acquiring temperature data through a thermistor or an infrared temperature sensor. These data are transmitted to the processing unit for subsequent processing.

[0075] Secondly, in step S2, the target distance between the liquid surface inside the closed container and the radar device is calculated according to the time length of the received return signal. For example, the total time of the detection wave from emission to reception of the return signal can be measured, and the distance can be calculated by combining the propagation speed of the detection wave in the medium. One implementation is to accurately record the flight time of the detection wave through a timer, then multiply the time by the propagation speed of the detection wave in air, and divide by two to obtain the target distance.

[0076] Thirdly, in step S3, the reflection signal strength of the detection wave on the liquid surface inside the closed container is calculated according to the target distance. The reflection signal strength is an important indicator to measure the reflection ability of the detection wave on the liquid surface, which is closely related to the physical properties of the liquid such as dielectric constant and density. For example, the amplitude information of the received return signal can be extracted by demodulation and filtering processing, and the actual reflection signal strength on the liquid surface can be calculated by combining the emission intensity of the detection wave and the energy loss in the propagation process.

[0077] Finally, in step S4, the target parameter of the liquid inside the closed container is measured based on the pre-set prediction model according to the ambient temperature and the reflection signal strength. The prediction model is the key to realizing accurate measurement in this application. For example, the prediction model can be a multiple regression model, with the ambient temperature and the reflection signal strength as input variables, and the target parameter as output variable. In actual application, the collected ambient temperature and the calculated reflection signal strength can be input into the prediction model, and the model will output the corresponding target parameter value according to the mapping relationship established inside the model.

[0078] The non-contact liquid measurement method proposed in the present application realizes accurate measurement of the target parameters of the liquid in the closed container by combining the radar device and the environment temperature acquisition device and introducing a prediction model. The method first transmits a detection wave by the radar device and receives a return signal, while obtaining the environment temperature in which the closed container is located. Then, the target distance between the liquid surface and the radar device is calculated according to the time of flight of the return signal. On this basis, the reflection signal strength of the detection wave on the liquid surface is calculated. Finally, the environment temperature and the reflection signal strength are taken as inputs, and the target parameters of the liquid in the closed container are measured by the preset prediction model. The whole process does not need to open the container, realizing non-destructive measurement.

[0079] Compared with the prior art, the present application has significant advantages and innovations. The traditional method often needs contact measurement, or it is difficult to ensure measurement accuracy in a non-constant temperature and humidity environment, and there are safety hazards for flammable and explosive liquids. The present application avoids direct contact with the liquid through non-contact radar measurement, thereby realizing non-destructive measurement and improving safety. In addition, the present application fully considers the influence of the environment temperature on the liquid parameters, takes the environment temperature as one of the inputs of the prediction model, effectively compensates for the measurement error caused by temperature changes, and significantly improves the measurement accuracy. For example, in the measurement of base liquor in the liquor industry, the density of the liquor body is obviously affected by the temperature, and the present application can more accurately measure the density and alcohol content of the liquor body by introducing the environment temperature parameter. At the same time, the present application uses a low-power radar device, which meets the explosion-proof requirements of the dangerous goods warehouse, and widens its application scenarios. Therefore, the present application shows significant progress in accuracy, non-destructiveness, safety and applicability.

[0080] In some embodiments, reference is made to the accompanying drawings Figure 2 The specific steps in step S2 include:

[0081] S21. Calculate the target distance according to the following formula:

[0082] ;

[0083] Wherein, is the target distance, is the speed of light, is the time length for receiving the return signal.

[0084] The scheme of the present application introduces the above distance calculation formula, so that the calculation process of the target distance has a clear physical basis and mathematical model. The formula directly uses the propagation speed and round-trip time of the detection wave, ensuring the accuracy and reliability of the distance measurement. By accurately measuring the time length of the echo signal and combining the known physical constant (speed of light), the distance between the liquid surface and the radar device can be directly and effectively calculated, providing solid foundation data for subsequent reflection signal strength calculation and target parameter measurement.

[0085] Through the above technical scheme, the calculation result of the target distance can be ensured to have high precision and reliability. This direct calculation method based on physical principles avoids errors that may be introduced by empirical estimation or simplified models, thereby providing more accurate input data for subsequent reflection signal strength calculation and final target parameter measurement. As a result, the accuracy and stability of the overall measurement method are significantly improved, which helps to obtain more accurate liquid target parameters.

[0086] In some embodiments, the specific steps in step S3 include:

[0087] S31. Obtain the thickness of the sealing material between the inner cavity of the sealed container and the radar device;

[0088] S32. Calculate the energy loss of the detection wave caused by the shielding of the sealing material according to the thickness of the sealing material;

[0089] S33. Calculate the distance between the liquid surface inside the sealed container and the sealing material according to the thickness of the sealing material and the target distance;

[0090] S34. Calculate the energy loss of the detection wave in the free space path and the energy loss of the detection wave caused by gas molecule absorption according to the distance between the liquid surface inside the sealed container and the sealing material;

[0091] S35. Calculate the reflection signal strength according to the energy loss of the detection wave caused by the shielding of the sealing material, the energy loss of the detection wave in the free space path, and the energy loss of the detection wave caused by gas molecule absorption.

[0092] Specifically, referring to the accompanying drawings, Figure 2 The specific steps in step S32 include:

[0093] The energy loss of the detection wave caused by the shielding of the sealing material is calculated according to the following formula:

[0094] Formula 1;

[0095] ;

[0096] The specific steps in step S33 include:

[0097] The distance between the liquid surface inside the closed container and the sealing material is calculated according to the following formula:

[0098] Formula 2

[0099] The specific steps in step S34 include:

[0100] The energy loss of the probe wave in the free space path is calculated according to the following formula:

[0101] Formula 3

[0102] The energy loss of the probe wave due to gas molecule absorption is calculated according to the following formula:

[0103] Formula 4

[0104] Wherein, is the energy loss of the probe wave in the free space path, is the energy loss of the probe wave due to gas molecule absorption, is the energy loss of the probe wave due to the shielding of the sealing material, is the distance between the liquid surface inside the closed container and the sealing material, is the preset operating frequency of the probe wave, is the preset atmospheric attenuation coefficient, is the intensity reflection coefficient of the probe wave passing through the obstacle, is the preset attenuation coefficient of the sealing material, is the thickness of the sealing material, is the target distance, is the wave impedance of air, is the wave impedance of the obstacle.

[0105] The scheme of the present application can accurately quantify the reflection signal strength of the energy reflected at the liquid surface interface inside the sealed container by introducing the specific calculation formula. Specifically, the shielding loss of the sealing material is modeled by formula 1, which considers the attenuation characteristics of the material itself and the interface reflection effect, ensuring accurate evaluation of the transmission loss. Based on the geometric relationship (formula 2), the relationship between the distance parameters is determined, providing a basis for subsequent propagation loss calculation. The application of formula 3 enables the free-space propagation loss to be calculated based on the classic radar equation, and formula 4 further improves the propagation loss model by considering the absorption of electromagnetic waves by gases in the actual environment. Finally, by subtracting the received intensity from the transmitted intensity and all the calculated losses, the reflected energy only at the liquid surface interface can be accurately stripped out, thereby obtaining the true reflection signal strength. This step-by-step and detailed calculation method ensures a comprehensive consideration of the energy changes of the detection wave in complex environments, improving the accuracy of the reflection signal strength calculation.

[0106] Among them, for common industrial gases and detection wave frequencies, the relevant attenuation coefficient data may have been published in professional technical manuals, scientific literature or industry standards, and the atmospheric attenuation coefficient can be directly consulted and obtained. It can also be measured by experiment in a controlled experimental environment. Similarly, the intensity reflection coefficient can also be measured by experiment.

[0107] For the attenuation coefficient of the sealing material, it can be found in the material technical manual or the supplier's data sheet, or different thickness of the sealing material sample can be prepared, and the radar device (or ultrasonic transducer) and receiver are placed on both sides of the material to measure the signal intensity attenuation before and after the detection wave passes through the material. By comparing the attenuation of samples of different thicknesses and combining the material thickness, the attenuation coefficient per unit thickness can be calculated.

[0108] Through the above technical scheme, since specific mathematical formulas are used to quantitatively calculate the energy loss of the detection wave in different media, the calculation process of the reflection signal strength is more standardized and accurate. This not only improves the reliability of the measurement results, but also provides a solid data foundation for subsequent measurement of liquid target parameters based on the reflection signal strength. Specifically, by accurately modeling the shielding loss of the sealing material, the free-space propagation loss and the gas absorption loss, the interference of environmental factors on the reflection signal strength can be effectively eliminated, thereby more accurately reflecting the physical properties of the liquid itself, and thus improving the overall precision and applicability of the non-contact liquid measurement method.

[0109] In actual application, when the electromagnetic wave enters the liquid, part of the electromagnetic wave is reflected at the interface, and part of the electromagnetic wave is absorbed by the liquid. The reflected signal strength of the reflected part of the energy, that is, the reflected energy of the detection wave reflected at the liquid surface interface inside the sealed container, can be calculated in the following two ways:

[0110] In step S35, the first calculation method of the reflected signal strength is to calculate the reflected signal strength according to the received detection wave signal strength, and specifically includes the following steps:

[0111] A1. The reflected signal strength is calculated according to the following formula:

[0112] ;

[0113] Wherein, is the reflected signal strength, is the received detection wave strength.

[0114] The core of this calculation method is to regard the received detection wave strength (that is, the received echo strength) as already containing the reflection information, and to directly calculate the reflected signal strength actually reflected at the liquid surface interface by compensating all energy losses on the propagation path in reverse. This method avoids the direct dependence on the transmission strength, and does not need to preset or calculate the energy strength reflection coefficient (that is, the proportion of reflected energy), thereby simplifying the calculation process.

[0115] The scheme of the present application directly back calculates the reflected signal strength of the energy of the detection wave reflected at the liquid surface interface inside the sealed container by accumulating the echo strength received by the radar device and the energy losses (including the energy losses of the free space path, the energy losses caused by gas molecule absorption, and the energy losses caused by the shielding of the sealing material) experienced by the detection wave on the propagation path. This calculation logic is based on the principle of energy conservation, that is, the received echo strength is the result of the attenuation of the reflected signal strength in the propagation process. Therefore, by adding the energy loss of the attenuation to the received signal strength, the original reflected signal strength can be restored. Compared with the calculation method which needs to consider the transmission strength or the energy strength reflection coefficient, this method is more direct and simplified, reduces the dependence on system parameters, and improves the convenience of calculation.

[0116] Through the above technical scheme, the present application provides a more simple and efficient reflected signal strength calculation method. This method does not need to introduce a preset energy strength reflection coefficient Also, the emitted probe wave intensity does not need to be measured accurately, thereby effectively reducing the complexity of calculation and the requirement for the accuracy of the measuring equipment. Thus, under the premise of ensuring the measurement accuracy, the practicability and deployment flexibility of the non-contact liquid measurement method are significantly improved, and the method is particularly suitable for application scenarios with high requirements for computing resources and system cost.

[0117] In step S35, the second calculation method of the reflected signal intensity is to calculate according to the emitted probe wave signal intensity, specifically including:

[0118] B1. The reflected signal intensity is calculated according to the following formula:

[0119] ;

[0120] When the probe wave is vertically incident to the liquid surface, the calculation formula of the energy intensity reflection coefficient is:

[0121] ;

[0122] wherein, is the reflected signal intensity, is the energy intensity of the probe wave reaching the liquid surface in the closed container, is a preset energy intensity reflection coefficient, is the emitted probe wave intensity, is the wave impedance of the liquid to be measured in the closed container.

[0123] The scheme of the present application can more accurately simulate the reflection physical process of the probe wave at the liquid surface interface in the closed container by introducing the energy intensity reflection coefficient. Specifically, first, the probe wave energy intensity actually reaching the liquid surface is calculated according to the emitted probe wave intensity and various energy losses. Then, the preset energy intensity reflection coefficient is used, which is calculated according to the wave impedance of air and the liquid to be measured, and directly reflects the energy reflection ratio at the interface. Thus, by multiplying the energy intensity reaching the liquid surface by the reflection coefficient, a more accurate reflected signal intensity can be obtained. This method more directly describes the interface reflection phenomenon from the physical principle, so that the calculation of the reflected signal intensity is no longer dependent only on the difference between the emitted and received signals, but combines the electromagnetic properties of the medium itself.

[0124] By the above technical solution, the calculation of the reflection signal intensity takes into account the physical reflection characteristics of the probe wave at the air-liquid interface, making the calculation result more physically based and accurate. Especially in the case where the wave impedance (or its related dielectric constant, magnetic permeability) of the liquid to be measured is known or can be estimated, this method can provide more accurate reflection signal intensity, thereby improving the accuracy and reliability of subsequent measurement of the target parameters of the liquid in the closed container based on the prediction model. This calculation method avoids direct dependence on the received echo intensity and is based on the transmission intensity and medium characteristics, providing a more robust and accurate reflection signal intensity evaluation method for non-contact liquid measurement.

[0125] In some embodiments, the prediction model is established by the following steps:

[0126] A1. After the liquid sample is placed in the closed container and the closed container is placed in the constant temperature and humidity chamber, the humidity in the constant temperature and humidity chamber is kept constant, while the temperature in the constant temperature and humidity chamber is changed and the reflection signal intensity of the surface of the liquid sample inside the closed container at different temperatures is recorded;

[0127] A2. Measure and record the target parameters of the liquid sample at different temperatures using the instrument;

[0128] A3. Obtain multiple sets of correlation data by recording the reflection signal intensity of the surface of the liquid sample inside the closed container and the target parameters at the same temperature as a set of correlation data;

[0129] A4. According to the multiple sets of correlation data, train a preliminary prediction model and verify it, and after the preliminary prediction model passes the verification, it is used as the final prediction model.

[0130] Wherein, step A1 aims to simulate the environmental conditions in which the closed container is placed in actual application, and by precisely controlling the constant temperature and humidity chamber to keep the humidity constant and systematically changing the temperature, the variation of the reflection signal intensity of the liquid sample surface at different temperatures is obtained. This process ensures the accuracy of data collection and the controllability of environmental factors. The liquid sample can be the measured liquid itself or a substitute liquid with the same or similar physical and chemical properties as the measured liquid.

[0131] In step A2, the target parameters of the liquid sample at different environmental temperatures are measured and recorded using the instrument. This step is performed simultaneously with step A1 to ensure that the corresponding true target parameter values are obtained under the same environmental temperature conditions as the reflection signal intensity collection. The target parameters can be the density of the liquid, alcohol content, etc., depending on the actual measurement requirements.

[0132] Step A3 associates the reflection signal intensity and the target parameter recorded at the same ambient temperature in Step A1 and Step A2 to form a set of corresponding data pairs. By collecting multiple sets of such associated data, a comprehensive dataset can be constructed for subsequent model training. These associated data are the basis for establishing the prediction model, and their quantity and quality directly affect the performance of the model.

[0133] Step A4 trains the prediction model using multiple sets of the associated data and determines whether the model is usable through validation. The training process can employ various machine learning algorithms, such as linear regression, support vector machines, neural networks, etc., to establish the mapping relationship between the ambient temperature, reflection signal intensity, and target parameter. Through training, the model can learn and capture the complex patterns in the data, so that in actual measurement, the target parameter of the liquid can be accurately predicted according to the input ambient temperature and reflection signal intensity. After training is completed, the preliminary model can be evaluated for performance using validation set data, such as calculating its mean square error and correlation coefficient of determination. If the mean square error is lower than a pre-set threshold (e.g., 0.01) and the correlation coefficient of determination is higher than a pre-set threshold (e.g., 0.95), the preliminary model is considered to pass the validation and is saved as the final prediction model. Otherwise, the model parameters need to be adjusted or the algorithm needs to be reselected for training until the model passes the validation (model validation is a prior art and will not be described here).

[0134] The scheme of the present application solves the problem of uncertain or inaccurate prediction model source in the basic scheme by systematically establishing a prediction model. Specifically, by collecting reflection signal intensity at different temperatures in a controlled environment (Step A1) and simultaneously measuring the true target parameter (Step A2), the authenticity and correspondence of the training data are ensured. Subsequently, these data are associated to form a dataset (Step A3), providing a rich and accurate sample for model learning. Finally, the prediction model is trained and validated using these associated data (Step A4), enabling the model to accurately learn the intrinsic relationship between ambient temperature, reflection signal intensity, and liquid target parameter. It is precisely due to this rigorous modeling process that in actual measurement, the target parameter of the liquid inside the closed container can be accurately measured based on the ambient temperature and reflection signal intensity.

[0135] Through the above technical scheme, the present application can provide a scientific and reliable prediction model establishment method, significantly improving the accuracy and stability of target parameter measurement in non-contact liquid measurement methods. This method effectively avoids measurement errors caused by inaccurate models by obtaining a large amount of real data under controlled conditions and training the model, thereby ensuring the reliability of the measurement results and providing a solid foundation for non-contact accurate measurement of liquids inside closed containers.

[0136] In some preferred embodiments, the following is illustrated by a specific example. Assume that it is necessary to measure the alcohol content of the wine body inside a sealed container. First, a wine body sample with known alcohol content and density is placed in a sealed container and placed in a constant temperature and humidity chamber. While keeping the ambient humidity constant, the ambient temperature is gradually increased from 5°C to 35°C, and the echo signal received by the radar device is recorded every 5°C, and the reflection signal intensity of the wine body surface is calculated. At the same time, at each temperature point, the actual density and alcohol content of the wine body are measured and recorded using high-precision instruments. For example, at 10°C, the reflection signal intensity is recorded as X dBm, the alcohol content is Y%, and the density is Z kg / m³. Repeat this process to collect multiple sets of reflection signal intensity, alcohol content, and density data at different temperatures. Then, these associated data are input into a machine learning algorithm (for example, using a support vector regression model) for training. After training is complete, a prediction model is obtained that can accurately predict the alcohol content and density of the wine body based on the ambient temperature and reflection signal intensity. In practical applications, this model can be used to non-contact measure the alcohol content and density of the wine body inside a sealed container.

[0137] It should be noted that for baijiu, there are different flavor types, such as Jiangxiang type, Nongxiang type, Qingxiang type, etc. The composition of the wine body is not the same for different flavor types. If accurate measurement is desired, a database of the relationship between reflection signal intensity and alcohol content and density of different flavor types of baijiu under different temperature conditions needs to be established.

[0138] In some embodiments, when the liquid inside the sealed container is a wine body, the target parameters include the density and alcohol content of the wine body.

[0139] The theoretical basis of the present application is that under stable temperature conditions, the alcohol content of the wine body is linearly related to the density, and the slope of the linear relationship between the alcohol content and the density of the wine body is different at different stable temperatures. By measuring the alcohol content of the wine body at a certain fixed temperature, the density of the wine body can be determined according to the linear relationship between the alcohol content and the density, and non-contact accurate measurement of the density of the wine body can be achieved.

[0140] Temperature can change the physical properties of liquid media, such as dielectric constant, magnetic permeability, and absorption coefficient. Changes in these parameters will directly affect the propagation characteristics of electromagnetic waves in the medium, including their speed, refractive index, reflectivity, transmissivity, and absorption. This results in a change in the intensity of the received electromagnetic waves. Therefore, under the premise that the frequency band of the transmitted electromagnetic waves and the material and thickness of the material penetrated by the non-destructive testing remain unchanged, a relationship between the received electromagnetic wave signal intensity and the dielectric constant under different temperature conditions needs to be established.

[0141] For homogeneous liquid, under the same temperature condition, if the electromagnetic wave frequency band and the boundary of the container to be measured (container material and its thickness, shape) remain unchanged, the electromagnetic wave intensity received by the liquid to be measured in the container is only related to the dielectric constant of the liquid. Under the same temperature condition, the dielectric constant of the wine body corresponds to a unique alcohol content of the wine body, and the unique alcohol content of the wine body corresponds to a unique density of the wine body. Therefore, the relationship between the received electromagnetic wave signal intensity and the density of the wine body at a certain fixed temperature can be directly established, and therefore the present application is also applicable to other liquids whose dielectric constant and density have a certain rule or relationship.

[0142] In some embodiments, the probe wave is an electromagnetic wave or an ultrasonic wave. When the closed container is made of metal or has a metal coating, electromagnetic waves cannot penetrate the closed container, resulting in the inability to perform non-destructive testing. At this time, ultrasonic radar can be used as a substitute.

[0143] In some embodiments, the method further comprises the steps of:

[0144] S5. Monitoring the target distance and the target parameter and uploading them to the monitoring end in real time through NB, 4G or wifi network, so as to form effective monitoring of enterprise assets.

[0145] Specifically, step S5 aims to continuously monitor the target distance and the target parameter obtained through steps S2 and S4. The monitoring can be understood as continuously tracking and recording these measurement results. After monitoring the target distance and the target parameter, these data will be uploaded to the monitoring end in real time through NB, 4G or wifi network. NB network refers to Narrow Band Internet of Things, 4G network refers to the fourth generation mobile communication technology, and wifi network refers to wireless local area network. These network technologies can be used to realize wireless transmission of data. The monitoring end can be a remote server, a cloud platform, a user terminal device (such as a smartphone, a tablet computer or a computer) or any system capable of receiving, storing, processing and displaying measurement data. The purpose of real-time uploading is to ensure that the monitoring end can obtain the latest measurement data in time for immediate analysis, early warning or decision-making.

[0146] The scheme of the present application effectively solves the limitations of the basic measurement scheme in data utilization and remote management by adding the steps of monitoring and real-time uploading in the measurement method. Specifically, step S5 makes the measured target distance and target parameter no longer limited to the local, but can be transmitted to the remote monitoring end through the wireless communication network. Thus, even if the operator is not on site, the real-time state information of the liquid inside the closed container can be obtained anytime and anywhere. The establishment of this real-time data flow provides a necessary data basis for subsequent data analysis, trend prediction, abnormal warning and automatic control.

[0147] By the above technical solution, the application can realize remote real-time monitoring of the state of the liquid inside the sealed container, greatly improving the practicality and intelligent level of the measurement method. This scheme enables users or management systems to timely grasp the changes in liquid level position and key parameters, thereby enabling rapid response to potential problems such as liquid leakage, excessively high or low liquid level, abnormal liquid properties, etc. In addition, real-time data uploading also makes it possible for big data analysis and predictive maintenance, which helps to optimize production processes, reduce operating costs and improve safety.

[0148] Please refer to Figure 3 , Figure 3 is a non-contact liquid measurement device in some embodiments of the application, applied to a measurement system for the liquid inside a sealed container. The measurement system includes a radar device fixedly attached above the sealed container and an ambient temperature acquisition device. The radar device is used to emit a detection wave to the liquid inside the sealed container and receive a return signal. The ambient temperature acquisition device is used to acquire the ambient temperature of the sealed container. The non-contact liquid measurement device is integrated in the form of a computer program in a backend control device, including:

[0149] A control module 100 is used to control the radar device to emit a detection wave to the liquid inside the sealed container and receive a return signal, while obtaining the ambient temperature of the sealed container.

[0150] A first calculation module 200 is used to calculate the target distance between the liquid surface inside the sealed container and the radar device according to the time length of receiving the return signal.

[0151] A second calculation module 300 is used to calculate the reflection signal strength of the energy of the detection wave reflected at the liquid surface interface inside the sealed container according to the target distance.

[0152] A measurement module 400 is used to measure the target parameters of the liquid inside the sealed container based on a preset prediction model according to the ambient temperature and the reflection signal strength.

[0153] In some embodiments, the second calculation module 300 performs the following when calculating the reflection signal strength of the detection wave at the liquid surface inside the sealed container according to the target distance:

[0154] S31. Obtain the thickness of the sealing material between the inner cavity of the sealed container and the radar device.

[0155] S32. Calculate the energy loss of the detection wave due to the shielding of the sealing material according to the thickness of the sealing material.

[0156] S33. Calculate the distance between the liquid surface inside the sealed container and the sealing material according to the thickness of the sealing material and the target distance.

[0157] S34. Calculate the energy loss of the probe wave in free space path and the energy loss of the probe wave due to absorption by gas molecules according to the distance between the liquid level inside the sealed container and the sealing material;

[0158] S35. Calculate the reflected signal intensity according to the energy loss of the probe wave due to the shielding of the sealing material, the energy loss of the probe wave in free space path and the energy loss of the probe wave due to absorption by gas molecules.

[0159] In some embodiments, the second calculation module 300 performs, when calculating the energy loss of the probe wave due to the shielding of the sealing material according to the thickness of the sealing material:

[0160] The energy loss of the probe wave due to the shielding of the sealing material is calculated according to the following formula:

[0161] ;

[0162] ;

[0163] The second calculation module 300 performs, when calculating the distance between the liquid level inside the sealed container and the sealing material according to the thickness of the sealing material and the target distance:

[0164] The distance between the liquid level inside the sealed container and the sealing material is calculated according to the following formula:

[0165] ;

[0166] The second calculation module 300 performs, when calculating the energy loss of the probe wave in free space path and the energy loss of the probe wave due to absorption by gas molecules according to the distance between the liquid level inside the sealed container and the sealing material:

[0167] The energy loss of the probe wave in free space path is calculated according to the following formula:

[0168] ;

[0169] The energy loss of the probe wave due to absorption by gas molecules is calculated according to the following formula:

[0170] ;

[0171] wherein, is the energy loss of the probe wave in free space path, is the energy loss of the probe wave due to absorption by gas molecules, is the energy loss of the probe wave due to the shielding of the sealing material, a distance between a liquid level inside the closed container and the sealing material, a preset frequency of the probe wave, a preset atmospheric attenuation coefficient, a strength reflection coefficient of the probe wave passing through the barrier, a preset attenuation coefficient of the sealing material, a thickness of the sealing material, a target distance, a wave impedance of air, a wave impedance of the barrier.

[0172] In some embodiments, the second calculation module 300 performs the following when calculating the reflected signal strength according to the energy loss of the probe wave due to the shielding of the sealing material, the energy loss of the probe wave in the free space path, and the energy loss of the probe wave due to the absorption of gas molecules:

[0173] A1. The reflected signal strength is calculated according to the following formula:

[0174] ;

[0175] wherein, the reflected signal strength, the received probe wave strength.

[0176] In some embodiments, the second calculation module 300 performs the following when calculating the reflected signal strength according to the energy loss of the probe wave due to the shielding of the sealing material, the energy loss of the probe wave in the free space path, and the energy loss of the probe wave due to the absorption of gas molecules:

[0177] B1. The reflected signal strength is calculated according to the following formula:

[0178] ;

[0179] ;

[0180] wherein, the reflected signal strength, the energy strength of the probe wave reaching the surface of the liquid inside the closed container, a preset energy strength reflection coefficient, the transmitted probe wave strength, a wave impedance of the liquid to be measured inside the closed container.

[0181] In some embodiments, the non-contact liquid measuring device further comprises a monitoring module for monitoring the target distance and the target parameter and uploading to the monitoring end in real time through the NB, 4G or wifi network.

[0182] Reference is made to Figure 4 , Figure 4 A structural schematic diagram of an electronic device provided by an embodiment of the present application, the present application provides an electronic device 13, comprising: a processor 1301 and a memory 1302, the processor 1301 and the memory 1302 are interconnected and communicate with each other through a communication bus 1303 and / or other forms of connection mechanism (not marked), the memory 1302 stores computer readable instructions executable by the processor 1301, when the electronic device runs, the processor 1301 executes the computer readable instructions, to execute the non-contact liquid measurement method in any optional implementation manner of the above-mentioned embodiments, to realize the following functions: control the radar device to emit detection wave to the liquid in the closed container, and receive the echo signal, while obtaining the environment temperature where the closed container is located; according to the time length of receiving the echo signal, the target distance between the liquid surface in the closed container and the radar device is calculated; according to the target distance, the reflection signal strength of the energy reflected at the liquid surface interface in the closed container is calculated; based on the preset prediction model, according to the environment temperature and the reflection signal strength, the target parameter of the liquid in the closed container is measured.

[0183] The embodiment of the present application provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to execute the non-contact liquid measurement method in any optional implementation manner of the above-mentioned embodiments, to realize the following functions: control the radar device to emit detection wave to the liquid in the closed container, and receive the echo signal, while obtaining the environment temperature where the closed container is located; according to the time length of receiving the echo signal, the target distance between the liquid surface in the closed container and the radar device is calculated; according to the target distance, the reflection signal strength of the energy reflected at the liquid surface interface in the closed container is calculated; based on the preset prediction model, according to the environment temperature and the reflection signal strength, the target parameter of the liquid in the closed container is measured.

[0184] The computer readable storage medium can be realized by any type of volatile or nonvolatile storage devices or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk or optical disk.

[0185] In the embodiments of the present application, it should be understood that the disclosed device and method can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division. In actual implementation, another division manner can be used. For example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some communication interfaces, devices or units, and can be electrical, mechanical or other forms.

[0186] In addition, the units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units. According to actual needs, some or all of the units can be selected to achieve the purpose of the embodiments.

[0187] Furthermore, each functional module in each embodiment of the present application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0188] In this article, the relationship terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between the entities or operations.

[0189] The above merely illustrates the embodiments of the present application but should not be taken as limitations to the protection scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A non-contact liquid measurement method applied to a measurement system for a liquid in a closed container, the measurement system comprising a radar device fixedly attached above the closed container and an ambient temperature acquisition device, the radar device being configured to emit a probe wave to the liquid in the closed container and receive a return signal, and the ambient temperature acquisition device being configured to acquire an ambient temperature of the closed container; the non-contact liquid measurement method comprising the following steps: S1.controlling the radar device to emit a probe wave to the liquid in the closed container and receive a return signal, and acquiring an ambient temperature of the closed container; S2.calculating a target distance between a liquid surface in the closed container and the radar device according to a time length for receiving the return signal; S3.calculating a reflection signal strength of energy of the probe wave reflected at a liquid surface interface in the closed container according to the target distance; S4.measuring a target parameter of the liquid in the closed container according to the ambient temperature and the reflection signal strength based on a preset prediction model; the specific steps in step S3 include: S31.acquiring a thickness of a sealing material between an inner cavity of the closed container and the radar device; S32.calculating energy loss of the probe wave caused by the sealing material according to the thickness of the sealing material; S33.calculating a distance between the liquid surface in the closed container and the sealing material according to the thickness of the sealing material and the target distance; S34.calculating energy loss of the probe wave in a free space path and energy loss of the probe wave caused by gas molecule absorption according to the distance between the liquid surface in the closed container and the sealing material; S35.calculating the reflection signal strength according to the energy loss of the probe wave caused by the sealing material, the energy loss of the probe wave in the free space path, and the energy loss of the probe wave caused by the gas molecule absorption; the specific steps in step S32 include: calculating the energy loss of the probe wave caused by the sealing material according to the following formula: the specific steps in step S33 include: calculating the distance between the liquid surface in the closed container and the sealing material according to the following formula: the specific steps in step S34 include: calculating the energy loss of the probe wave in the free space path according to the following formula: calculating the energy loss of the probe wave caused by the gas molecule absorption according to the following formula: the specific steps in step S35 include: A1.calculating the reflection signal strength according to the following formula: the specific steps in step S35 include: B1.calculating the reflection signal strength according to the following formula: the prediction model is established by the following steps: A1.after a liquid sample is contained in a closed container and the closed container is placed in a constant temperature and humidity chamber, the humidity in the constant temperature and humidity chamber is controlled to remain unchanged, while the temperature in the constant temperature and humidity chamber is changed and the reflection signal strength of a liquid sample surface in the closed container at different temperatures in the constant temperature and humidity chamber is recorded; A2.the target parameter of the liquid sample at different temperatures in the constant temperature and humidity chamber is measured and recorded by an instrument. characterized in that ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ； ； ​ ​ ； ​ ​ ； ​ ； wherein, is the energy loss of the probe wave in the free space path, is the energy loss of the probe wave due to absorption by gas molecules, is the energy loss of the probe wave due to obstruction by the sealing material, is the distance between the liquid surface inside the closed container and the sealing material, is the preset operating frequency of the probe wave, is the preset atmospheric attenuation coefficient, is the intensity reflection coefficient of the probe wave passing through the obstacle, is the preset attenuation coefficient of the sealing material, is the thickness of the sealing material, is the target distance, is the wave impedance of air, is the wave impedance of the obstacle.

2. The non-contact liquid measurement method of claim 1, wherein, ​ ​ ； wherein is the reflected signal intensity, is the received probe wave intensity.

3. The non-contact liquid measurement method of claim 1, wherein, ​ ​ ； ； wherein is the reflected signal intensity, is the energy intensity of the probe wave reaching the surface of the liquid inside the closed container, is the preset energy intensity reflection coefficient, is the intensity of the emitted probe wave, is the wave impedance of the liquid to be measured inside the closed container.

4. The non-contact liquid measurement method of claim 1, wherein, ​ ​ ​ A3. obtaining a plurality of sets of the correlation data by recording the reflection signal intensity of the liquid sample surface inside the sealed container and the target parameter at the same temperature inside the box as a set of correlation data; A4. training a preliminary prediction model and verifying the preliminary prediction model according to the plurality of sets of the correlation data, and taking the preliminary prediction model as the final prediction model after the preliminary prediction model passes the verification.

5. The non-contact liquid measurement method of claim 1, wherein, When the liquid in the sealed container is wine, the target parameter includes the density and alcohol content of the wine.

6. A non-contact liquid measuring device applied to a measuring system for a liquid in a sealed container, the measuring system comprising a radar device fixedly attached above the sealed container and an ambient temperature acquisition device, the radar device being used for emitting a detection wave to the liquid in the sealed container and receiving a return wave signal, and the ambient temperature acquisition device being used for acquiring an ambient temperature in which the sealed container is located. characterized in that The non-contact liquid measuring device comprises: a control module configured to control the radar device to emit a detection wave to the liquid in the sealed container and receive a return wave signal, and simultaneously acquire an ambient temperature in which the sealed container is located; a first calculation module configured to calculate a target distance between a liquid surface in the sealed container and the radar device according to a total time length for receiving the return wave signal; a second calculation module configured to calculate a reflection signal intensity of energy of the detection wave reflected at a liquid surface interface in the sealed container according to the target distance; a measurement module configured to measure a target parameter of the liquid in the sealed container based on a preset prediction model according to the ambient temperature and the reflection signal intensity; the second calculation module performs the following when calculating the reflection signal intensity of the detection wave reflected at the liquid surface in the sealed container according to the target distance: S31. acquiring a thickness of a sealing material between an inner cavity of the sealed container and the radar device; S32. calculating energy loss of the detection wave caused by the sealing material according to the thickness of the sealing material; S33. calculating a distance between the liquid surface in the sealed container and the sealing material according to the thickness of the sealing material and the target distance; S34. calculating energy loss of the detection wave in a free space path and energy loss of the detection wave caused by gas molecule absorption according to the distance between the liquid surface in the sealed container and the sealing material; S35. calculating the reflection signal intensity according to the energy loss of the detection wave caused by the sealing material, the energy loss of the detection wave in the free space path, and the energy loss of the detection wave caused by the gas molecule absorption; the second calculation module performs the following when calculating the energy loss of the detection wave caused by the sealing material according to the thickness of the sealing material: the energy loss of the detection wave caused by the sealing material is calculated according to the following formula: ； ； the second calculation module performs the following when calculating the distance between the liquid surface in the sealed container and the sealing material according to the thickness of the sealing material and the target distance: the distance between the liquid surface in the sealed container and the sealing material is calculated according to the following formula: ； The second calculation module performs the following calculations: The energy loss of the probe wave in the free space path is calculated according to the following formula: ； The energy loss of the probe wave due to absorption by gas molecules is calculated according to the following formula: ； wherein, is the energy loss of the probe wave in the free space path, is the energy loss of the probe wave due to absorption by gas molecules, is the energy loss of the probe wave due to obstruction by the sealing material, is the distance between the liquid surface inside the closed container and the sealing material, is the preset operating frequency of the probe wave, is the preset atmospheric attenuation coefficient, is the intensity reflection coefficient of the probe wave passing through the obstacle, is the preset attenuation coefficient of the sealing material, is the thickness of the sealing material, is the target distance, is the wave impedance of air, is the wave impedance of the obstacle.

7. An electronic device, comprising: A processor and a memory are included, the memory storing computer readable instructions that, when executed by the processor, perform the steps of the non-contact liquid measurement method of any one of claims 1-5.

8. A computer readable storage medium having stored thereon a computer program, characterized in that, The computer program, when executed by a processor, performs the steps of the non-contact liquid measurement method of any one of claims 1-5.

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