Method and device for detecting the content of liquid water in air with a hot-wire hygrometer

Abstract

The present application relates to the technical field of liquid water content detection in air, and particularly relates to a method and device for detecting liquid water content in air by using a hot-wire water content meter. The method comprises obtaining first data related to the hot-wire water content meter and second data related to a cloud particle probe, wherein the hot-wire water content meter and the cloud particle probe are on the same detection platform; establishing a data set of physical parameters changing with time according to the first data and the second data; setting a cloud entering standard and calculating liquid water content according to a liquid water content calculation formula; calculating the liquid water content of each sub-class according to the sub-class of the cloud particle probe, and selecting the optimal value of the liquid water content. The present application solves the problems of error overlap caused by multi-parameter combination calculation in the laboratory empirical formula of the prior art, and the error caused by human operation.

Description

Technical Field

[0001] This invention relates to the field of air liquid water content detection technology, and more particularly to a method and apparatus for detecting air liquid water content using a hot-wire moisture meter. Background Technology

[0002] Clouds are composed of water droplets (cloud droplets, raindrops) and ice particles. The liquid water content in clouds is a crucial parameter of cloud physics and an important indicator for artificial rain (snow) enhancement. Its size and distribution are essential for determining the location of catalysts and their dispersal within the cloud. Improving the efficiency of artificial catalysis requires accurate cloud detection, with the detection of liquid water content being particularly critical. The accuracy of liquid water content measurement directly impacts the effectiveness of weather modification.

[0003] The water content in clouds can be obtained by the following methods: (1) calculating the liquid water content in clouds by detecting the diameter and number of cloud droplets and raindrops; (2) measuring the cloud water content by directly sensing and measuring the power dissipated by liquid water in clouds using a hot-wire water content meter. The hot-wire water content meter calculates the liquid water content by measuring the heat released when water droplets evaporate. A heated cylinder is exposed to the airflow to intercept oncoming droplets. Electronic equipment keeps the sensor at a constant temperature and monitors the power required to regulate the temperature when droplets collide with the coil and evaporate during flight.

[0004] The formula for calculating the liquid water content (LWC) measured by a hot-wire moisture meter is as follows:

[0005]

[0006] Where l is the sensor length, d is the sensor diameter, v is the air velocity, LWC is the liquid water content, and L v It is the latent heat of vaporization, c is the specific heat of water, and T is the specific heat of vaporization. b It is the boiling point of water, T. a It is the air temperature, P t This is the power consumed by the sensor wire of the hot-wire moisture meter, P. d Convection heat loss, P w It is latent heat loss, P t =P d +P w There are two algorithms for calculating the convective heat loss power Pd:

[0007] The first method is to calculate using empirical formulas from the laboratory:

[0008]

[0009] Where k is the thermal conductivity of air, T s It is the sensor temperature, T aWhere is the air temperature, Pr is the Prandtl number, A0, x and y are constants for heating a cylinder at high Reynolds numbers, and ρ, V, P and v are the air density, velocity, pressure and viscosity, respectively.

[0010] The second method is to calculate based on the power formula:

[0011] P d2 =I·U d

[0012] Where I is the current, U d It is the coil voltage under dry air conditions before entering the cloud.

[0013] The above calculation of liquid water content has the following problems:

[0014] First, in the formula for calculating liquid water content, P... d It can be calculated using empirical formulas in the laboratory, but these formulas contain many parameters, and the cumulative error of each parameter will increase the calculated LWC error.

[0015] Second, in the formula for calculating liquid water content, P d The LWC can be calculated using the dry air power formula before cloud entry. However, during the aircraft detection phase, various situations may occur, such as: ① failure to calibrate and zero the instruments before cloud entry; ② multiple cloud entry-exit-cloud entry processes during the entire aircraft detection process, but only one cloud entry zeroing operation is performed; ③ judging the timing of cloud entry by visual inspection, resulting in large observation errors; ④ delayed manual cloud entry zeroing operation, and insufficient timing accuracy. All of these can lead to errors in LWC. Summary of the Invention

[0016] In view of this, the purpose of the present invention is to provide a method, apparatus and storage medium for detecting the liquid water content in air using a hot-wire moisture meter, which solves the problems of overlapping errors caused by multi-parameter combination calculations in laboratory empirical formulas in the prior art, as well as errors caused by human operation.

[0017] The present invention solves the above-mentioned technical problems through the following technical means:

[0018] In a first aspect, the present invention provides a method for detecting the liquid water content in air using a hot-wire moisture meter, comprising:

[0019] Acquire first data related to the hot wire moisture content meter and second data related to the cloud particle probe, wherein the hot wire moisture content meter and the cloud particle probe are on the same detection platform;

[0020] A dataset of physical parameters changing over time is established based on the first and second data;

[0021] Set cloud access standards and calculate the liquid water content according to the liquid water content calculation formula;

[0022] Based on the classification of the cloud particle probe, the liquid water content of each classification is calculated, and the optimal value of liquid water content is selected.

[0023] The formula for calculating the liquid water content is as follows:

[0024]

[0025] In the formula, I is the current, and U... w It is the coil voltage under humid air conditions after entering the clouds, U d This refers to the coil voltage in dry air before entering the cloud, where l is the sensor length, d is the sensor diameter, v is the air velocity, LWC is the liquid water content, and L... v It is the latent heat of vaporization, c is the specific heat capacity of water, and T is the specific heat capacity of water. b It is the boiling point of water, T. a It refers to the air temperature.

[0026] In conjunction with the first aspect, in some embodiments, the first data includes the sensor length and sensor diameter of the hot-wire moisture meter, as well as the time, coil voltage, and air speed collected during the aircraft's flight.

[0027] In conjunction with the first aspect, in some embodiments, the second data includes the time during the aircraft's flight, particle size, particle number concentration, and air temperature.

[0028] In conjunction with the first aspect, in some implementations, establishing a dataset of physical parameters changing over time based on the first data and the second data includes:

[0029] The first data collected by the hot wire moisture meter and the second data collected by the cloud particle probe are synchronized and calibrated at the corresponding time.

[0030] Establish a dataset of coil voltage, air velocity, particle size, particle number concentration, and air temperature changes over time.

[0031] In conjunction with the first aspect, in some embodiments, setting cloud access standards and calculating liquid water content according to the liquid water content calculation formula includes:

[0032] The cloud entry standard is set as follows: the particle number concentration collected by the cloud particle probe is greater than 0 cm⁻¹ at a certain scale. -3 And calculate the cloud entry time;

[0033] Determine the coil voltage value under dry air conditions before cloud entry based on the cloud entry time;

[0034] The liquid water content is calculated using the formula based on the coil voltage value under dry air conditions before entering the cloud, and the coil voltage value under humid air conditions after entering the cloud, as well as air velocity and air temperature.

[0035] In conjunction with the first aspect, in some embodiments, the coil voltage value under dry air conditions before cloud entry is the coil voltage value one second before cloud entry, and the coil voltage U under dry air conditions before cloud entry... d and the coil voltage U under humid air conditions after entering the clouds w The determination is as follows:

[0036] When time is T n At that time, the particle number concentration N of the m-th size and sizes larger than that size is... m,n =0, then LWC m,n =0, representing dry air with no liquid water, U d =U w =U n ;

[0037] When time is T n+1 At that time, the particle number concentration N of the m-th size and sizes larger than that size is... m,n+1 If T > 0, then T n+1 The moment is the moment of cloud access, U d =U n U w =U n+1 ;

[0038] When time is T n+2 At that time, the particle number concentration N of the m-th size and sizes larger than that size is... m,n+2 If T > 0, then T n+1 The moment is the moment of cloud access, U d =U n U w =U n+2 ;

[0039] When time is T n+3 At that time, the particle number concentration N of the m-th size and sizes larger than that size is... m,n+3 =0, then LWC m,n+3 =0, no liquid water, U d =U w =U n+3 ;

[0040] When time is T n+4 When the particle number concentration of the m-th size and sizes larger than that size is greater than 0, then T n+4 The moment is the moment of cloud access, U d =U n+3 U w =U n+4 .

[0041] In conjunction with the first aspect, in some embodiments, the reference indicators for the optimal value of liquid water content include the negative percentage, minimum value, and maximum value of liquid water content. The smaller the negative percentage, the better the liquid water content value. The closer the minimum value is to 0, the better the liquid water content value. The closer the maximum value is to 0, the worse the liquid water content value.

[0042] Secondly, the present invention also provides a device for detecting the liquid water content in air using a hot-wire moisture meter, comprising:

[0043] The data acquisition module is used to acquire first data related to the hot wire moisture content meter and second data related to the cloud particle probe, wherein the hot wire moisture content meter and the cloud particle probe are on the same detection platform;

[0044] The data processing module is used to establish a dataset of physical parameters changing over time based on the first data and the second data.

[0045] The calculation module is used to set cloud access standards and calculate the liquid water content according to the liquid water content calculation formula;

[0046] The optimal value selection module is used to calculate the liquid water content of each category according to the classification of the cloud particle probe, and select the optimal value of the liquid water content.

[0047] The formula for calculating the liquid water content is as follows:

[0048]

[0049] In the formula, I is the current, and U... w It is the coil voltage under humid air conditions after entering the clouds, U d This refers to the coil voltage in dry air before entering the cloud, where l is the sensor length, d is the sensor diameter, v is the air velocity, LWC is the liquid water content, and L... v It is the latent heat of vaporization, c is the specific heat capacity of water, and T is the specific heat capacity of water. b It is the boiling point of water, T. a It refers to the air temperature.

[0050] Thirdly, the present invention also provides an electronic device comprising a processor and a memory, the memory storing at least one program, the at least one program being loaded and executed by the processor to implement the method for detecting liquid water content in air using a hot-wire moisture meter as described above.

[0051] Fourthly, the present invention also provides a computer-readable storage medium having at least one program therein, the at least one program being loaded and executed by the processor to implement the method for detecting liquid water content in air using a hot-wire moisture meter as described above.

[0052] The method and apparatus for detecting liquid water content in air using a hot-wire moisture meter of the present invention avoid the error overlap caused by multi-parameter combination calculations in laboratory empirical formulas, and reduce the impact of multi-parameter error overlap. The present invention combines data such as coil voltage under dry air conditions before cloud entry, coil voltage under humid air conditions after cloud entry, cloud particle size, and cloud particle number concentration, proposing a method for determining "a particle number concentration greater than 0 cm⁻¹ at a certain scale." -3 This invention employs a quantitative judgment method for "cloud entry," dynamically determining the timing of cloud entry in real time. This allows for the acquisition of the coil voltage value under dry air conditions before cloud entry, precise calculation of the liquid water content (LWC), and calculation of the liquid water content value for each cloud particle probe segment. This process selects the optimal value and reduces measurement errors in liquid water content. The invention establishes a quantitative discrimination index for dynamic cloud entry zeroing throughout the entire probe flight, thereby reducing errors caused by human operation. Attached Figure Description

[0053] Figure 1 This is a schematic flowchart of a method for detecting liquid water content in air using a hot-wire moisture meter, as provided in an embodiment of the present invention.

[0054] Figure 2 This is a structural block diagram of a hot-wire moisture meter for detecting liquid water content in air, provided in an embodiment of the present invention.

[0055] The device includes a hot-wire moisture meter for detecting liquid water content in the air (200), a data acquisition module (210), a data processing module (220), a calculation module (230), and an optimal value selection module (240). Detailed Implementation

[0056] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0057] Unless otherwise specified in the following examples, the conditions are as per standard conditions or the manufacturer's recommendations. Raw materials, equipment, or instruments whose manufacturers are not specified are all commercially available products.

[0058] Unless the context otherwise specifies, the terms “contains,” “has,” and “includes” are synonyms. The phrase “A / B” means “A or B,” and the phrase “A and / or B” means “(A and B) or (A or B).”

[0059] It should be noted that in this specification, similar reference numerals or letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0060] As used herein, the term "module or unit" may refer to or include application-specific integrated circuits (ASICs), electronic circuits, processors (shared, dedicated, or grouped) and / or memories (shared, dedicated, or grouped) that execute one or more software or firmware programs, combinational logic circuits, and / or other suitable components that provide the described functionality, or may be part of an application-specific integrated circuit (ASIC), electronic circuits, processors (shared, dedicated, or grouped) that execute one or more software or firmware programs, combinational logic circuits, and / or other suitable components that provide the described functionality.

[0061] Please refer to Figure 1 This application provides a method for detecting the liquid water content in air using a hot-wire moisture meter, comprising the following steps:

[0062] Step 110: Acquire first data related to the hot-wire moisture content meter and second data related to the cloud particle probe, wherein the hot-wire moisture content meter and the cloud particle probe are on the same detection platform. The first data includes the sensor length and sensor diameter of the hot-wire moisture content meter, as well as the time, coil voltage, and air speed during the flight of the aircraft. The second data includes the time, particle size, particle number concentration, and air temperature during the flight of the aircraft.

[0063] Step 120: Establish a dataset of physical parameters changing over time based on the first and second data. Specifically, synchronize the first data collected by the hot-wire moisture meter and the second data collected by the cloud particle probe at corresponding times, and then establish a dataset of coil voltage, air velocity, particle size, particle number concentration, and air temperature changing over time.

[0064] Step 130: Set the cloud ingress standard and calculate the liquid water content according to the liquid water content calculation formula. Specifically, the cloud ingress standard is set as follows: the particle number concentration collected by the cloud particle probe at a scale not lower than 0 cm⁻¹ is greater than 0 cm⁻¹. -3 The time of cloud entry is estimated, and the coil voltage value under dry air conditions before cloud entry is determined based on the time of cloud entry. The liquid water content value is calculated using the liquid water content calculation formula based on the coil voltage value under dry air conditions before cloud entry, the coil voltage value under humid air conditions after cloud entry, air velocity, and air temperature.

[0065] Among them, the coil voltage value under dry air conditions before cloud entry is the coil voltage value 1 second before cloud entry, and the coil voltage U under dry air conditions before cloud entry is... dand the coil voltage U under humid air conditions after entering the clouds w The determination is as follows:

[0066] When time is T n At that time, the particle number concentration N of the m-th size and sizes larger than that size is... m,n =0, then LWC m,n =0, representing dry air with no liquid water, U d =U w =U n ;

[0067] When time is T n+1 At that time, the particle number concentration N of the m-th size and sizes larger than that size is... m,n+1 If T > 0, then T n+1 The moment is the moment of cloud access, U d =U n U w =U n+1 ;

[0068] When time is T n+2 At that time, the particle number concentration N of the m-th size and sizes larger than that size is... m,n+2 If T > 0, then T n+1 The moment is the moment of cloud access, U d =U n U w =U n+2 ;

[0069] When time is T n+3 At that time, the particle number concentration N of the m-th size and sizes larger than that size is... m,n+3 =0, then LWC m,n+3 =0, no liquid water, U d =U w =U n+3 ;

[0070] When time is T n+4 When the particle number concentration of the m-th size and sizes larger than that size is greater than 0, then T n+4 The moment is the moment of cloud access, U d =U n+3 U w =U n+4 .

[0071] The formula for calculating liquid water content is as follows:

[0072]

[0073] In the formula, I is the current, and U... w It is the coil voltage under humid air conditions after entering the clouds, U dThis refers to the coil voltage in dry air before entering the cloud, where l is the sensor length, d is the sensor diameter, v is the air velocity, LWC is the liquid water content, and L... v It is the latent heat of vaporization, c is the specific heat capacity of water, and T is the specific heat capacity of water. b It is the boiling point of water, T. a It refers to the air temperature.

[0074] Step 140: Based on the classification of the cloud particle probe, calculate the liquid water content for each classification and select the optimal value of the liquid water content. The reference indicators for the optimal liquid water content include the percentage of negative values, the minimum value, and the maximum value of the liquid water content. A smaller percentage of negative values ​​corresponds to a better liquid water content value; a minimum value closer to 0 corresponds to a better liquid water content value; and a maximum value closer to 0 corresponds to a worse liquid water content value.

[0075] This application presents a method for detecting liquid water content in air using a hot-wire moisture meter. This method combines data such as coil voltage under dry air conditions before cloud entry, coil voltage under humid air conditions after cloud entry, cloud particle size, and cloud particle number concentration. It proposes a method where "the particle number concentration at a certain scale is greater than 0 cm⁻¹". -3 The quantitative judgment method of "cloud entry" dynamically determines the timing of cloud entry in real time, thereby obtaining the coil voltage value under dry air conditions before cloud entry, accurately calculating LWC, and calculating the liquid water content value for each segment according to the cloud particle probe, thus selecting the optimal value, which is more conducive to reducing the measurement and calculation error of liquid water content. The method of detecting liquid water content in the air by the hot wire moisture meter of this application avoids the error overlap caused by multi-parameter combination calculation in laboratory empirical formulas, and reduces the impact of multi-parameter error overlap.

[0076] The steps of the method for detecting liquid water content in air using the hot-wire moisture meter of this application will be described in detail below:

[0077] Step 110 may include placing the hot-wire moisture content meter and the cloud particle probe on the same detection platform to facilitate more comparative analysis of the data collected by the two instruments. First data regarding the hot-wire moisture content meter is collected, including but not limited to: data provided by the Hot-wire Liquid Water Content Sensor (LWC-100), specifically, the sensor length, sensor diameter, and flight time, coil voltage, and air velocity of the airborne hot-wire moisture content meter used in the detection flight as first data. Second data regarding the cloud particle probe is collected, including but not limited to: data provided by the Cloud Droplet Probe (CDP) probe, specifically, the flight time, particle size, particle number concentration, and air temperature collected by the cloud particle probe used in the detection flight as second data.

[0078] Step 120 may include selecting the time unit as seconds, the dataset as second-by-second data, and, based on the sensor length and diameter of the airborne hot-wire moisture meter and the data collected during the aircraft's flight (time, coil voltage, air velocity) and the data collected during the aircraft's flight (time, particle size, particle number concentration, air temperature) by the cloud particle probe, calibrating and synchronizing the time data of the two instruments to establish a dataset of coil voltage, air velocity, particle size, particle number concentration, and air temperature changes over time. The time period includes all data with recorded detection.

[0079] Step 130 may include the following: In this embodiment, the CDP probe measures particle sizes ranging from 2 to 5 μm, divided into 30 levels. The first 12 levels have a resolution of 1 μm, and the last 18 levels have a resolution of 2 μm. The cloud entry standard is set as a particle number concentration greater than 0 cm⁻¹ at a particle size not lower than a certain level, as collected by the cloud particle probe. -3 The time of cloud entry is calculated, and the coil voltage under dry air conditions before cloud entry is the coil voltage value one second before cloud entry. The coil voltage U under dry air conditions before cloud entry is then determined. d and the coil voltage U under humid air conditions after entering the clouds w The details are as follows:

[0080] When time is T n At that time, the particle number concentration N of the m-th size and sizes larger than that size is... m,n =0, then LWC m,n =0, representing dry air with no liquid water, U d =U w =U n ;

[0081] When time is T n+1 At that time, the particle number concentration N of the m-th size and sizes larger than that size is...m,n+1 If T > 0, then T n+1 The moment is the moment of cloud access, U d =U n U w =U n+1 ;

[0082] When time is T n+2 At that time, the particle number concentration N of the m-th size and sizes larger than that size is... m,n+2 If T > 0, then T n+1 The moment is the moment of cloud access, U d =U n U w =U n+2 ;

[0083] When time is T n+3 At that time, the particle number concentration N of the m-th size and sizes larger than that size is... m,n+3 =0, then LWC m,n+3 =0, no liquid water, U d =U w =U n+3 ;

[0084] When time is T n+4 When the particle number concentration of the m-th size and sizes larger than that size is greater than 0, then T n+4 The moment is the moment of cloud access, U d =U n+3 U w =U n+4 .

[0085] The liquid water content is calculated using the formula based on the coil voltage under dry air conditions before cloud entry, and the coil voltage under humid air conditions after cloud entry, along with air velocity and air temperature. The liquid water content is calculated second by second.

[0086] The formula for calculating liquid water content is as follows:

[0087]

[0088] In the formula, I is the current, and U... w It is the coil voltage under humid air conditions after entering the clouds, U d This refers to the coil voltage in dry air before entering the cloud, where l is the sensor length, d is the sensor diameter, v is the air velocity, LWC is the liquid water content, and L... v It is the latent heat of vaporization, c is the specific heat capacity of water, and T is the specific heat capacity of water. b It is the boiling point of water, T. a It refers to the air temperature.

[0089] In addition, due to the influence of instrument startup errors, when the valid data in the dataset is abnormal, the data in the corresponding time period is discarded and not calculated.

[0090] Step 140 may include calculating the liquid water content for each category of the cloud particle probe, comparing the liquid water content of each category, and comprehensively evaluating the optimal selection of the cloud particle probe's category-based calculation of liquid water content based on three reference indicators: the proportion of negative values, the minimum value, and the maximum value. Specifically, the proportion of negative values ​​measures the overall negative situation of the calculated liquid water content; the smaller the proportion of negative values, the better the liquid water content value. The minimum value measures the degree of deviation of the negative liquid water content; the closer the minimum value is to 0, the better the liquid water content value. The maximum value measures the degree of smoothing of the liquid water content after category-based calculation; the closer the maximum value is to 0, the worse the liquid water content value.

[0091] For example: Suppose that after a flight probe, samples were collected for 2 hours (120 minutes, or 7200 seconds) of data. Then, there would be 7200 calculated liquid water content results. If 72 of these 7200 samples have negative liquid water content values, then the percentage of negative values ​​is 72 / 7200*100% = 1%. The minimum value is the extreme value of a negative value; for example, if the negative values ​​are -1, -10, and -100, then the minimum value is -100. The maximum value is the extreme value of a positive value; for example, if the positive values ​​are 0.1, 1, and 10, then the maximum value is 10.

[0092] The optimal operation for calculating liquid water content using cloud particle probes, taking into account various parameters, is as follows:

[0093] Calculate the average of the scores for three reference indicators (proportion of negative values, minimum value, and maximum value). The scale with the highest score is determined as the scale for cloud entry. The liquid water content calculated using this scale as the reference standard is the optimal value.

[0094] The calculated percentages of negative values ​​for different categories are sorted from largest to smallest, and then divided into 100 equal parts according to the size of the sort. The percentile of the value in the m-th category within its sort is the negative value percentage score for that m-th category, which is TS1. The larger the percentage of negative values, the lower the score, and vice versa.

[0095] The calculated minimum values ​​for different ranges are sorted in ascending order, and then divided into 100 equal parts according to the size of the range. The percentile of the value in the m-th range is the minimum value score for that m-th range, which is TS2. The smaller the minimum value, the lower the score, and vice versa.

[0096] The calculated maximum values ​​for different ranges are sorted in ascending order, and then divided into 100 equal parts according to the size of the sort. The percentile of the value in the m-th range is the maximum value of that m-th range, and its score is TS3. The smaller the maximum value, the lower the score, and vice versa.

[0097] Calculate the average values ​​of TS1, TS2, and TS3 for all scales. If the average value for the m-th scale is the largest, then the particle number concentration at or above the m-th scale is determined to be greater than 0 cm⁻¹. -3 The calculated liquid water content is the optimal value.

[0098] The following is an embodiment of the device for detecting liquid water content in air using a hot-wire moisture meter according to this application. For details not described in detail in this device embodiment, please refer to the above method embodiment.

[0099] Please refer to Figure 2 , Figure 2 This is a structural block diagram of a device 200 for detecting the liquid water content in air using a hot-wire moisture meter, provided in an exemplary embodiment of this application. The device includes:

[0100] The data acquisition module 210 is used to acquire first data related to the hot wire moisture content meter and second data related to the cloud particle probe, wherein the hot wire moisture content meter and the cloud particle probe are on the same detection platform.

[0101] The data processing module 220 is used to establish a dataset of physical parameters changing over time based on the first data and the second data.

[0102] Specifically, the data processing module 220 includes:

[0103] The synchronous calibration unit is used to synchronously calibrate the corresponding time of the first data collected by the hot wire moisture meter and the second data collected by the cloud particle probe.

[0104] The dataset creation unit is used to create a dataset of coil voltage, air velocity, particle size, particle number concentration, and air temperature changes over time.

[0105] Calculation module 230 is used to set cloud access standards and calculate liquid water content according to the liquid water content calculation formula;

[0106] The optimal value selection module 240 is used to calculate the liquid water content of each category according to the classification of the cloud particle probe, and select the optimal value of the liquid water content.

[0107] An electronic device according to this embodiment includes a processor and a memory, the memory storing at least one computer program executable on the processor. When the processor executes the computer program, it implements the steps of the methods described above for detecting liquid water content in air using various hot-wire moisture meters, as illustrated in this embodiment. Figure 1 The illustrated hot-wire moisture meter detects all the steps involved in detecting the liquid water content in the air. Alternatively, when the processor executes the computer program, it implements the functions of each module in the above-described apparatus embodiment for detecting the liquid water content in the air using a hot-wire moisture meter, for example: Figure 2 All modules in the device shown are used by a hot-wire moisture meter to detect the liquid water content in the air.

[0108] In addition, embodiments of the present invention also provide a computer-readable storage medium, the computer-readable storage medium including a stored computer program, wherein, when the computer program is executed, it controls the device where the computer-readable storage medium is located to perform the method for detecting the liquid water content in the air using a hot-wire moisture meter as described in any of the above embodiments.

[0109] Those skilled in the art will understand that the schematic diagram is merely an example of an electronic device and does not constitute a limitation on the electronic device. It may include more or fewer components than shown in the diagram, or combine certain components, or different components. For example, the electronic device may also include input / output devices, network access devices, buses, etc.

[0110] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the electronic device, connecting all parts of the electronic device via various interfaces and lines.

[0111] Memory can be used to store computer programs and / or modules. The processor implements various functions of the electronic device by running or executing the computer programs and / or modules stored in the memory, and by accessing data stored in the memory. Memory can mainly include a program storage area and a data storage area. The program storage area can store the operating system, at least one application program required for a function (such as sound playback, image playback, etc.), etc.; the data storage area can store data created based on the use of the mobile phone (such as audio data, phonebook, etc.). In addition, memory can include high-speed random access memory, and can also include non-volatile memory, such as hard disks, RAM, plug-in hard disks, smart media cards (SMC), secure digital cards (SD cards), flash cards, at least one disk storage device, flash memory device, or other volatile solid-state storage devices.

[0112] In this invention, if the modules / units integrated into the electronic device are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.

[0113] It should be noted that the device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Furthermore, in the accompanying drawings of the device embodiments provided by this invention, the connection relationships between modules indicate that they have communication connections, which can be specifically implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without any creative effort.

[0114] The above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the present invention, and all such modifications and substitutions should be covered within the scope of the claims of the present invention. Technical aspects, shapes, and structures not described in detail in this invention are all well-known technologies.

Claims

1. A method for detecting the liquid water content in air using a hot-wire moisture meter, characterized in that, include: Acquire first data related to the hot wire moisture content meter and second data related to the cloud particle probe, wherein the hot wire moisture content meter and the cloud particle probe are on the same detection platform; A dataset of physical parameters changing over time is established based on the first and second data; Set cloud access standards and calculate the liquid water content according to the liquid water content calculation formula; Based on the classification of the cloud particle probe, the liquid water content of each classification is calculated, and the optimal value of liquid water content is selected. The setting of cloud access standards and the calculation of liquid water content according to the liquid water content calculation formula include: The cloud entry standard is set as follows: the particle number concentration collected by the cloud particle probe is greater than 0 cm⁻¹ at a certain scale. −3 And calculate the cloud entry time; Determine the coil voltage value under dry air conditions before cloud entry based on the cloud entry time; The liquid water content is calculated using the liquid water content calculation formula based on the coil voltage value under dry air conditions before entering the cloud, and the coil voltage value under humid air conditions after entering the cloud, as well as air velocity and air temperature. The formula for calculating the liquid water content is as follows: In the formula, I is the current, and U... w It is the coil voltage under humid air conditions after entering the clouds, U d This refers to the coil voltage in dry air before entering the cloud, where l is the sensor length, d is the sensor diameter, v is the air velocity, LWC is the liquid water content, and L... v It is the latent heat of vaporization, c is the specific heat capacity of water, and T is the specific heat capacity of water. b It is the boiling point of water, T. a It is the air temperature; The coil voltage value under dry air conditions before cloud entry is the coil voltage value 1 second before cloud entry, and the coil voltage U under dry air conditions before cloud entry is... d and the coil voltage U under humid air conditions after entering the clouds w The determination is as follows: When time is T n At that time, the particle number concentration N of the m-th size and sizes larger than that size is... m,n =0, then LWC m,n =0, indicating dry air with no liquid water, U d =U w =U n ; When time is T n+1 At that time, the particle number concentration N of the m-th size and sizes larger than that size is... m,n+1 If T > 0, then T n+1 The moment is the moment of cloud access, U d =U n U w =U n+1 ; When time is T n+2 At that time, the particle number concentration N of the m-th size and sizes larger than that size is... m,n+2 If T > 0, then T n+1 The moment is the moment of cloud access, U d =U n U w =U n+2 ; When time is T n+3 At that time, the particle number concentration N of the m-th size and sizes larger than that size is... m,n+3 =0, then LWC m,n+3 =0, no liquid water, U d = U w =U n+3 ; When time is T n+4 When the particle number concentration of the m-th size and sizes larger than that size is greater than 0, then T n+4 The moment is the moment of cloud access, U d =U n+3 U w =U n+4 .

2. The method for detecting liquid water content in air using a hot-wire moisture meter according to claim 1, characterized in that, The first data includes the sensor length and sensor diameter of the hot-wire moisture meter, as well as the time, coil voltage, and air speed collected during the aircraft's flight.

3. The method for detecting liquid water content in air using a hot-wire moisture meter according to claim 2, characterized in that, The second set of data includes the flight time, particle size, particle number concentration, and air temperature.

4. The method for detecting liquid water content in air using a hot-wire moisture meter according to claim 3, characterized in that, The step of establishing a dataset of physical parameters changing over time based on the first data and the second data includes: Synchronize and calibrate the time corresponding to the first and second data; Establish a dataset of coil voltage, air velocity, particle size, particle number concentration, and air temperature changes over time.

5. The method for detecting the liquid water content in air using a hot-wire moisture meter according to claim 1, characterized in that, The reference indicators for the optimal value of liquid water content include the negative percentage, minimum value, and maximum value of liquid water content. The smaller the negative percentage, the better the liquid water content value. The closer the minimum value is to 0, the better the liquid water content value. The closer the maximum value is to 0, the worse the liquid water content value.

6. A device for detecting the liquid water content in air using a hot-wire moisture meter, characterized in that, include: The data acquisition module is used to acquire first data related to the hot wire moisture content meter and second data related to the cloud particle probe, wherein the hot wire moisture content meter and the cloud particle probe are on the same detection platform; The data processing module is used to establish a dataset of physical parameters changing over time based on the first data and the second data. The calculation module is used to set cloud access standards and calculate the liquid water content according to the liquid water content calculation formula; The optimal value selection module is used to calculate the liquid water content of each category according to the classification of the cloud particle probe, and select the optimal value of the liquid water content. The setting of cloud access standards and the calculation of liquid water content according to the liquid water content calculation formula include: The cloud entry standard is set as follows: the particle number concentration collected by the cloud particle probe is greater than 0 cm⁻¹ at a certain scale. −3 And calculate the cloud entry time; Determine the coil voltage value under dry air conditions before cloud entry based on the cloud entry time; The liquid water content is calculated using the liquid water content calculation formula based on the coil voltage value under dry air conditions before entering the cloud, and the coil voltage value under humid air conditions after entering the cloud, as well as air velocity and air temperature. The formula for calculating the liquid water content is as follows: In the formula, I is the current, and U... w It is the coil voltage under humid air conditions after entering the clouds, U d This refers to the coil voltage in dry air before entering the cloud, where l is the sensor length, d is the sensor diameter, v is the air velocity, LWC is the liquid water content, and L... v It is the latent heat of vaporization, c is the specific heat capacity of water, and T is the specific heat capacity of water. b It is the boiling point of water, T. a It is the air temperature; The coil voltage value under dry air conditions before cloud entry is the coil voltage value 1 second before cloud entry, and the coil voltage U under dry air conditions before cloud entry is... d and the coil voltage U under humid air conditions after entering the clouds w The determination is as follows: When time is T n At that time, the particle number concentration N of the m-th size and sizes larger than that size is... m,n =0, then LWC m,n =0, indicating dry air with no liquid water, U d =U w =U n ; When time is T n+1 At that time, the particle number concentration N of the m-th size and sizes larger than that size is... m,n+1 If T > 0, then T n+1 The moment is the moment of cloud access, U d =U n U w =U n+1 ; When time is T n+2 At that time, the particle number concentration N of the m-th size and sizes larger than that size is... m,n+2 If T > 0, then T n+1 The moment is the moment of cloud access, U d =U n U w =U n+2 ; When time is T n+3 At that time, the particle number concentration N of the m-th size and sizes larger than that size is... m,n+3 =0, then LWC m,n+3 =0, no liquid water, U d = U w =U n+3 ; When time is T n+4 When the particle number concentration of the m-th size and sizes larger than that size is greater than 0, then T n+4 The moment is the moment of cloud access, U d =U n+3 U w =U n+4 .

7. An electronic device, characterized in that, The electronic device includes a processor and a memory, the memory storing at least one program, which is loaded and executed by the processor to implement the method for detecting the liquid water content in air using a hot-wire moisture meter as described in any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The readable storage medium contains at least one program, which is loaded and executed by a processor to implement the method for detecting the liquid water content in air using a hot-wire moisture meter as described in any one of claims 1-5.

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