Absolute humidity difference detection device and calculation method applied to agricultural environment

Abstract

The invention relates to an absolute humidity difference detection device applied to an agricultural environment and a calculation method.The absolute humidity difference detection device comprises a support installed in a farmland, a dry and wet bulb thermometer and a mercury barometer are installed in the middle of the support, and the dry and wet bulb thermometer comprises a dry bulb temperature probe, a wet bulb temperature probe and a water storage tank; the wet-bulb temperature probe is wrapped with gauze, the lower end of the gauze is immersed in the water storage tank, and the dry-bulb temperature probe and the wet-bulb temperature probe are used for detecting the dry-bulb temperature and the wet-bulb temperature in the agricultural environment respectively; the mercury barometer is used for measuring the atmospheric pressure in the agricultural environment. The invention aims to provide the absolute humidity difference detection device and the calculation method applied to the agricultural environment so as to solve the problems that in the prior art, when the absolute humidity difference is calculated, a worker often neglects the influence of atmospheric pressure on the absolute humidity difference, and the accuracy of the finally obtained absolute humidity difference is possibly insufficient; and the crop yield may be affected.

Description

Technical Field

[0001] The present invention relates to the technical field of agricultural equipment, and in particular to an absolute humidity difference detection device and a calculation method applied to an agricultural environment. Background Art

[0002] Agricultural meteorological disasters are disasters caused by unfavorable meteorological conditions to agriculture. Heat damage, freezing damage, frost, tropical crop cold damage and low temperature cold damage are caused by temperature factors; drought, flood disasters, snow damage and hail damage are caused by moisture factors; wind damage is caused by wind; dry hot wind, cold rain and freezing waterlogging damage are caused by the combined action of meteorological factors. Different from the concept of meteorology, agricultural meteorological disasters are combined with disasters suffered by agricultural production. For example, cold waves and late spring cold are a kind of weather and climate phenomenon or process in meteorology, which does not necessarily cause disasters. But when they endanger crops such as wheat and rice, they cause agricultural meteorological disasters such as freezing damage, frost, and low temperature cold damage. In particular, air humidity has a serious impact on plant growth and production. In order to improve the efficiency and output of agricultural production, it is necessary to accurately monitor the data in agricultural production, especially the humidity in the air.

[0003] Changes in atmospheric pressure affect the saturated vapor pressure of water vapor in the air. As atmospheric pressure increases, the saturated vapor pressure also increases, which means that the air can hold more water vapor without condensing into liquid water. Therefore, in a high-pressure environment, the absolute humidity may increase even if the relative humidity remains unchanged.

[0004] In the prior art, the humidity in the air is monitored by monitoring the humidity inside and outside the environment, and subtracting the humidity obtained by the internal and external monitoring to obtain the humidity difference of the environment, or using a table lookup method to obtain the humidity difference.

[0005] However, when calculating the absolute humidity difference, workers often ignore the impact of atmospheric pressure on the absolute humidity difference, which may make the final absolute humidity difference inaccurate, and may affect crop yields. Summary of the invention

[0006] In view of this, the purpose of the present invention is to provide an absolute humidity difference detection device and calculation method for application in agricultural environments, so as to solve the problem that when calculating the absolute humidity difference in the prior art, the staff often ignore the influence of atmospheric pressure on the absolute humidity difference, which may make the final absolute humidity difference insufficiently accurate, and thus may affect the crop yield.

[0007] The present invention is achieved through the following technical solutions:

[0008] An absolute humidity difference detection device used in an agricultural environment comprises a bracket installed in a farmland, a dry-bulb and wet-bulb thermometer and a mercury barometer are installed in the middle of the bracket,

[0009] The dry-bulb and wet-bulb thermometer comprises a dry-bulb temperature probe, a wet-bulb temperature probe and a water storage tank, wherein the wet-bulb temperature probe is wrapped with gauze, the lower end of the gauze is immersed in the water storage tank, and the dry-bulb temperature probe and the wet-bulb temperature probe are used to check the dry-bulb temperature and the wet-bulb temperature in the agricultural environment respectively;

[0010] The mercury barometer is used to measure atmospheric pressure in agricultural environments.

[0011] Furthermore, a solar power supply module is installed on the top of the bracket, a camera is installed in the middle of the bracket, the camera is electrically connected to a controller, the controller is electrically connected to a wireless transmission module, and the camera, the controller and the wireless transmission module are all electrically connected to the solar power supply module;

[0012] The solar power supply module includes a solar panel and a storage battery, wherein the solar panel is used to directly convert the solar radiation energy into direct current, and the storage battery is used to store the electric energy generated by the solar panel and to power the camera, the controller and the wireless transmission module;

[0013] The lens of the camera is facing the dry-bulb thermometer and the mercury barometer, and the camera is used to record the values ​​of the dry-bulb thermometer and the mercury barometer;

[0014] The controller is used to control the solar power supply module to convert solar energy into electrical energy, and transmit the values ​​of the dry-bulb thermometer and the mercury barometer recorded by the camera to the controller through the wireless transmission module.

[0015] A method for calculating absolute humidity difference applied to an agricultural environment, comprising obtaining a dry-bulb temperature, a wet-bulb temperature and an atmospheric pressure of the agricultural environment, and determining a dry-bulb and wet-bulb coefficient of the dry-bulb and wet-bulb according to a wind speed, a wet-bulb material and a dry-bulb and wet-bulb measuring box structure in the agricultural environment;

[0016] Calculate the saturated humidity and the absolute humidity according to the dry-bulb temperature, the wet-bulb temperature, the atmospheric pressure, the dry-bulb coefficient, the preset saturated humidity algorithm, and the preset absolute humidity algorithm;

[0017] The absolute humidity difference of the environment is calculated according to the saturated humidity and the absolute humidity.

[0018] Further, the step of calculating the saturated humidity and the absolute humidity using the dry-bulb temperature, the wet-bulb temperature, the atmospheric pressure, the dry-bulb coefficient, the preset saturated humidity algorithm, and the preset absolute humidity algorithm comprises:

[0019] Calculating the saturated water vapor pressure of an ideal gas according to the dry-bulb temperature of the agricultural environment and a first preset algorithm;

[0020] Calculate the saturated water vapor pressure of moist air under a non-ideal state according to the saturated water vapor pressure of the ideal gas and a second preset algorithm;

[0021] Calculate the saturated pressure of water vapor on the surface of the humid air according to the saturated water vapor pressure of the ideal gas, the saturated water vapor pressure of the humid air under non-ideal conditions, and the third preset algorithm;

[0022] Calculating the water vapor pressure on the humid air water surface according to the saturated water vapor pressure on the humid air water surface, the atmospheric pressure, the wet bulb temperature, the dry-bulb coefficient and a fourth preset algorithm;

[0023] Calculating the saturated humidity of the agricultural environment according to the molar mass of water, the saturated pressure of water vapor above the water surface of moist air, the universal gas constant, the Kelvin temperature of the agricultural environment and a fifth preset algorithm;

[0024] Calculating the absolute humidity of the agricultural environment based on the molar mass of water, the water vapor pressure above the water surface of the moist air, the universal gas constant, the Kelvin temperature of the agricultural environment, and a sixth preset algorithm;

[0025] According to the saturated humidity and the absolute humidity, the absolute humidity difference of the agricultural environment is calculated including:

[0026] The difference between the saturated humidity of the agricultural environment and the absolute humidity of the agricultural environment is taken as the absolute humidity difference of the environment.

[0027] Furthermore, the first preset algorithm is:

[0028]

[0029] Wherein a0, a1, a2, a3, a4, a5, a6 represent approximation parameters, and T represents the Kelvin temperature in the agricultural environment.

[0030] Furthermore, the second preset algorithm is:

[0031]

[0032] a(t)=a0+a1t+a2t 2 +a3t 3 1

[0033] β(t)=b0+b1t+b2t 2 +b3t 3 1

[0034] Among them, E WS represents the saturated water vapor pressure of an ideal gas on the water surface, t represents the temperature, p represents the atmospheric pressure, and f(t, p) represents the saturated water vapor pressure of moist air under non-ideal conditions.

[0035] Further, the third preset algorithm is:

[0036] p ws =E WS (t w +273.15)·f(t,p)

[0037] Among them, p ws Indicates the saturated pressure of water vapor on the water surface of moist air

[0038] Further, the fourth preset algorithm is:

[0039] p w =p ws -p·A(tt w )

[0040] Where A represents the dry-bulb coefficient, t w Indicates the wet bulb temperature.

[0041] Further, the fifth preset algorithm is:

[0042]

[0043] Among them, SH represents the saturated humidity of the agricultural environment, M H2O Represents the molar mass of water.

[0044] Further, the sixth preset algorithm is:

[0045]

[0046] Among them, AH represents the absolute humidity of the agricultural environment.

[0047] The beneficial effects of the present invention are:

[0048] This is an absolute humidity difference detection device and calculation method for agricultural environment. A bracket is installed in the farmland, and a dry-bulb thermometer and a mercury barometer are installed on the bracket. The dry-bulb temperature probe and the wet-bulb temperature probe of the dry-bulb thermometer are used to check the dry-bulb temperature and the wet-bulb temperature in the agricultural environment, respectively. The mercury barometer measures the atmospheric pressure in the agricultural environment. The staff records the dry-bulb temperature, the wet-bulb temperature and the atmospheric pressure, and substitutes the values ​​of the dry-bulb temperature, the wet-bulb temperature and the atmospheric pressure into the absolute humidity difference calculation formula to obtain the absolute humidity difference of the agricultural environment. Compared with the prior art, when calculating the absolute humidity difference, the staff combines the influence of the atmospheric pressure on the absolute humidity difference during measurement, thereby improving the accuracy of the absolute humidity difference and reducing the influence on the crop yield.

[0049] Other advantages, objectives and features of the present invention will be described in the following description to some extent, and to some extent, will be obvious to those skilled in the art based on the following examination and study, or can be taught from the practice of the present invention. The objectives and other advantages of the present invention can be realized and obtained through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 It is a structural schematic diagram of the absolute humidity difference detection device applied to an agricultural environment of the present invention;

[0051] Figure 2 For the present invention Figure 1 A partial enlarged view of the middle A;

[0052] Figure 3 It is a schematic flow chart of the absolute humidity difference calculation method applied to an agricultural environment of the present invention;

[0053] Figure 4 It is a flow chart of saturated humidity and absolute humidity in the absolute humidity difference calculation method applied to agricultural environment of the present invention.

[0054] In the figure:

[0055] 1. Bracket; 2. Dry-bulb and wet-bulb thermometers; 3. Mercury barometer; 4. Dry-bulb temperature probe; 5. Wet-bulb temperature probe; 6. Water tank; 7. Gauze; 8. Camera; 9. Solar panel. DETAILED DESCRIPTION

[0056] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0057] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0058] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0059] In the above description of the present invention, it should be noted that the terms "one side", "the other side", etc. indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship in which the product of the invention is usually placed when in use, which is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

[0060] In addition, the term "same" does not mean that the parts must be absolutely the same, but slight differences are allowed. The term "vertical" only means that the positional relationship between the parts is more vertical than "parallel", and does not mean that the structure must be completely vertical, but can be slightly tilted.

[0061] See also Figure 1-2 The present invention provides a technical solution: an absolute humidity difference detection device applied to an agricultural environment, comprising a bracket 1 installed in a farmland, a dry-bulb and wet-bulb thermometer 2 and a mercury barometer 3 installed in the middle of the bracket 1,

[0062] The dry-bulb and wet-bulb thermometer 2 comprises a dry-bulb temperature probe 4, a wet-bulb temperature probe 5 and a water storage tank 6. The wet-bulb temperature probe 5 is wrapped with gauze 7, and the lower end of the gauze 7 is immersed in the water storage tank 6. The dry-bulb temperature probe 4 and the wet-bulb temperature probe 5 are used to check the dry-bulb temperature and the wet-bulb temperature in the agricultural environment, respectively.

[0063] The mercury barometer 3 is used to measure the atmospheric pressure in an agricultural environment.

[0064] In this scheme: the bracket 1 is installed in the farmland, and the dry-bulb thermometer 2 and the mercury barometer 3 are both installed on the bracket 1. The dry-bulb temperature probe 4 and the wet-bulb temperature probe 5 of the dry-bulb thermometer 2 are used to check the dry-bulb temperature and the wet-bulb temperature in the agricultural environment, respectively. The mercury barometer 3 measures the atmospheric pressure in the agricultural environment. The staff records the dry-bulb temperature, the wet-bulb temperature and the atmospheric pressure, and substitutes the values ​​of the dry-bulb temperature, the wet-bulb temperature and the atmospheric pressure into the absolute humidity difference calculation formula to obtain the absolute humidity difference in the agricultural environment. Compared with the prior art, when calculating the absolute humidity difference, the staff combines the influence of the atmospheric pressure on the absolute humidity difference during measurement, thereby improving the accuracy of the absolute humidity difference and reducing the influence on the crop yield.

[0065] In this embodiment: a solar power supply module is installed on the top of the bracket 1, a camera 8 is installed in the middle of the bracket 1, the camera 8 is electrically connected to a controller, the controller is electrically connected to a wireless transmission module, and the camera 8, the controller and the wireless transmission module are all electrically connected to the solar power supply module;

[0066] The solar power supply module includes a solar panel 9 and a storage battery. The solar panel 9 is used to directly convert the solar radiation energy into direct current. The storage battery is used to store the electric energy generated by the solar panel 9 and to supply power to the camera 8, the controller and the wireless transmission module.

[0067] The lens of the camera 8 is facing the dry-bulb thermometer 2 and the mercury barometer 3, and the camera 8 is used to record the values ​​of the dry-bulb thermometer 2 and the mercury barometer 3;

[0068] The controller is used to control the solar power supply module to convert solar energy into electrical energy, and transmit the values ​​of the dry-bulb thermometer 2 and the mercury barometer 3 recorded by the camera 8 to the controller through the wireless transmission module.

[0069] In this solution: by installing the solar power supply module on the top of the bracket 1, the sunlight in the farmland is relatively sufficient, and the solar panel 9 is used to directly convert the solar radiation energy into direct current. The battery stores the electricity generated by the solar panel 9 and powers the camera 8, the controller and the wireless transmission module, which solves the energy problem of some electronic equipment during use. The lens of the camera 8 is facing the dry-bulb thermometer 2 and the mercury barometer 3, and the camera 8 records the values ​​of the dry-bulb thermometer 2 and the mercury barometer 3. The controller transmits the values ​​of the dry-bulb thermometer 2 and the mercury barometer 3 recorded by the camera 8 to the controller through the wireless transmission module. The staff can view the values ​​of the dry-bulb thermometer 2 and the mercury barometer 3 in real time, which is convenient for monitoring the absolute humidity difference in the farmland.

[0070] See also Figure 3-4 The present invention provides a technical solution: a method for calculating absolute humidity difference applied to an agricultural environment, comprising:

[0071] S101, obtaining the dry-bulb temperature, wet-bulb temperature and atmospheric pressure of the agricultural environment, and determining the dry-bulb and wet-bulb coefficients of the dry-bulb and wet-bulb according to the wind speed, wet-bulb material and dry-bulb and wet-bulb measuring box structure in the agricultural environment;

[0072] In practical applications, the wind speed to be measured is the wind speed in the environment, the temperature difference to be measured is obtained by measuring the temperature inside and outside the environment and calculating it, the atmospheric pressure is measured by a mercury manometer or other equipment that can detect atmospheric pressure, and the dry-bulb temperature and wet-bulb temperature can be detected by a dry-bulb hygrometer. The dry-bulb coefficient is the core parameter of the dry-bulb and wet-bulb, which can be obtained by reading.

[0073] The dry-bulb and wet-bulb coefficients are determined according to the wind speed, wet-bulb material, and dry-bulb and wet-bulb measuring box structure in the environment to be measured, and can be obtained by the existing technology in the field, and are not specifically limited here. The specific method for determining the dry-bulb and wet-bulb coefficients is not specifically limited here, and can be directly read or calculated, and is not elaborated here.

[0074] S102, calculating saturated humidity and absolute humidity according to the dry-bulb temperature, the wet-bulb temperature, the atmospheric pressure, the dry-bulb coefficient, a preset saturated humidity algorithm, and a preset absolute humidity algorithm;

[0075] S103: Calculate the absolute humidity difference of the environment according to the saturated humidity and the absolute humidity.

[0076] In this embodiment, the dry-bulb temperature, the wet-bulb temperature, the atmospheric pressure, the dry-bulb coefficient, the preset saturated humidity algorithm, the preset absolute humidity algorithm, and the step of calculating the saturated humidity and the absolute humidity include:

[0077] S201, calculating the saturated water vapor pressure of an ideal gas according to the dry-bulb temperature of the agricultural environment and a first preset algorithm;

[0078] S202, calculating the saturated water vapor pressure of moist air under a non-ideal state according to the saturated water vapor pressure of the ideal gas and a second preset algorithm;

[0079] S203, calculating the saturated pressure of water vapor on the surface of the humid air according to the saturated water vapor pressure of the ideal gas, the saturated water vapor pressure of the humid air under the non-ideal state, and the third preset algorithm;

[0080] S204, calculating the water vapor pressure on the humid air water surface according to the saturated pressure of water vapor on the humid air water surface, the atmospheric pressure, the wet bulb temperature, the dry-bulb coefficient and a fourth preset algorithm;

[0081] S205, calculating the saturated humidity of the agricultural environment according to the molar mass of water, the saturated pressure of water vapor above the water surface of the humid air, the universal gas constant, the Kelvin temperature of the agricultural environment and a fifth preset algorithm;

[0082] S206, calculating the absolute humidity of the agricultural environment according to the molar mass of water, the water vapor pressure above the water surface of the humid air, the universal gas constant, the Kelvin temperature of the agricultural environment and a sixth preset algorithm;

[0083] According to the saturated humidity and the absolute humidity, the absolute humidity difference of the agricultural environment is calculated including:

[0084] The difference between the saturated humidity of the agricultural environment and the absolute humidity of the agricultural environment is taken as the absolute humidity difference of the environment.

[0085] In this embodiment: the first preset algorithm is:

[0086]

[0087] Wherein a0, a1, a2, a3, a4, a5, a6 represent approximation parameters, and T represents the Kelvin temperature in the agricultural environment.

[0088] In this embodiment: the second preset algorithm is:

[0089]

[0090] a(t)=a0+a1t+a2t 2 +a3t 3 1

[0091] β(t)=b0+b1t+b2t 2 +b3t 3 1

[0092] Among them, E WS represents the saturated water vapor pressure of an ideal gas on the water surface, t represents the temperature, p represents the atmospheric pressure, and f(t, p) represents the saturated water vapor pressure of moist air under non-ideal conditions.

[0093] In this embodiment: the third preset algorithm is:

[0094] p ws =E WS (t w +273.15)·f(t,p)

[0095] Among them, p ws Indicates the saturated pressure of water vapor on the water surface of moist air

[0096] In this embodiment: the fourth preset algorithm is:

[0097] p w =p ws -p·A(tt w )

[0098] Where A represents the dry-bulb coefficient, t w Indicates the wet bulb temperature.

[0099] In this embodiment: the fifth preset algorithm is:

[0100]

[0101] Among them, SH represents the saturated humidity of the agricultural environment, M H2O Represents the molar mass of water.

[0102] Saturated humidity refers to the maximum amount of water vapor that can be contained in a unit volume of air at a certain temperature.

[0103] In this embodiment: the sixth preset algorithm is:

[0104]

[0105] Among them, AH represents the absolute humidity of the agricultural environment.

[0106] Absolute humidity refers to the mass of water vapor contained in each cubic meter of wet air, that is, the water vapor density, and its unit is g / m 3 .

[0107] According to the saturated pressure of water vapor on the humid air water surface, the atmospheric pressure, the dry-bulb coefficient and the third preset algorithm, the step of calculating the water vapor pressure on the humid air water surface further includes:

[0108] The relative humidity value of the environment to be measured is calculated according to the water vapor pressure on the humid air water surface and the saturated pressure of water vapor on the humid air water surface.

[0109] Relative humidity refers to the percentage of water vapor pressure in the air to the saturated water vapor pressure at the same temperature, or the ratio of the absolute humidity of humid air to the maximum absolute humidity that can be reached at the same temperature. It can also be expressed as the ratio of the water vapor partial pressure in humid air to the saturated pressure of water at the same temperature.

[0110] Specifically, for the convenience of explanation, an example is given here:

[0111] The water vapor saturation pressure of this application is calculated using the first preset algorithm. The applicable temperature range of this formula is between -100℃ and 100℃.

[0112] The saturated water vapor pressure of the ideal gas is the water vapor pressure when the water vapor reaches saturation. The size of the saturated water vapor pressure is directly related to the temperature. As the temperature rises, the saturated water vapor pressure increases significantly. Changes in air temperature have an important impact on evaporation and condensation. At high temperatures, the saturated water vapor pressure is large, and the amount of water vapor that can be contained in the air increases, so that the evaporation surface that was originally in a saturated state will become unsaturated due to the increase in temperature, and evaporation will reappear; on the contrary, if the temperature of the saturated air is lowered, the saturated water vapor pressure will decrease, and excess water vapor will condense out.

[0113] Add 273.15 to Celsius to get the Kelvin temperature. You can also use a Kelvin temperature measuring device to directly measure the Kelvin temperature.

[0114] The ideal gas saturated water vapor pressure is calculated by the above first preset calculation, and then the saturated water vapor pressure of moist air under non-ideal conditions is calculated by the relationship between the ideal gas saturated water vapor pressure and the saturated water vapor pressure of moist air under non-ideal conditions.

[0115] The water vapor pressure describes the situation where at least two components form a gas mixture. Therefore, the gas cannot be considered as an ideal gas, and an enhancement factor f(t, p) needs to be introduced to correct the non-ideal effect of humid air. The coefficients used in this document are calculated by the second preset algorithm, which requires the atmospheric pressure P < 11000Pa.

[0116] Relative humidity (RH) is defined as the ratio of the water vapor pressure of moist air (Pw) to the saturation pressure of water vapor above the water surface of moist air (Pws) at all temperatures and pressures.

[0117] For example: t = 20 °C, t w =10℃, P=101325Pa, the steps to calculate relative humidity are as follows

[0118] By using the third preset algorithm, we can calculate

[0119] p ws (20, 101325) = E WS (293.15)·f(20,101325)=2348.58p a

[0120]

[0121]

[0122] p ws (10, 101325) = E WS (283.15)·f(10,101325)=1232.87

[0123] A=0.000662(1+0.00115*10)=6.69613

[0124] Then, the fourth preset algorithm is used to calculate

[0125] p ws (10, 101325) = E WS (283.15)·f(10,101325)=1232.87p a

[0126] p w (20, 10, 101325) = 1232.87 - 101325 * 6.69613 * 10 -4=554.392p a

[0127] Pw and Pws are calculated, and then the saturated humidity of the environment to be tested is calculated by the fifth preset algorithm.

[0128] SH=18.0146*2348.58 / (8.3145*293.15)=17.36g / m 3

[0129] The absolute humidity of the environment to be measured is calculated using a sixth preset algorithm.

[0130] AH=18.0146*554.392 / (8.3145*293.15)=4.10g / m 3

[0131] Then, the difference between the saturated humidity of the environment to be measured and the absolute humidity of the environment to be measured is taken as the absolute humidity difference of the environment.

[0132] HD=17.36-4.10=13.26g / m 3

[0133] That is, the absolute humidity difference of the environment to be tested is determined to be 13.26 through calculation.

[0134] Correspondingly, according to the saturated humidity and the absolute humidity, calculating the absolute humidity difference of the environment includes:

[0135] The difference between the saturated humidity of the environment to be measured and the absolute humidity of the environment to be measured is used as the absolute humidity difference of the environment.

[0136] Optionally, after the step of calculating the water vapor pressure on the humid air water surface according to the saturated pressure of water vapor on the humid air water surface, the atmospheric pressure, the dry-bulb coefficient and the third preset algorithm, the step further includes:

[0137] The relative humidity value of the environment to be measured is calculated according to the water vapor pressure on the humid air water surface and the saturated pressure of water vapor on the humid air water surface.

[0138] By obtaining the wind speed, temperature difference, atmospheric pressure and dry-bulb coefficient in the environment to be tested; according to the wind speed, the temperature difference, the dry-bulb coefficient and the preset first relative humidity calculation model, the relative humidity is calculated; according to the atmospheric pressure, the temperature difference and the preset second saturated humidity calculation model, the saturated humidity is calculated; according to the relative humidity and the saturated humidity, the absolute humidity is determined; according to the saturated humidity and the absolute humidity, the absolute humidity difference in the environment to be tested is calculated. Since the parameters to be measured in this application are wind speed, temperature difference, atmospheric pressure, and dry-bulb coefficient, the absolute temperature difference is calculated step by step through the first preset algorithm, the second preset algorithm, the third preset algorithm, the fourth preset algorithm, the fifth preset algorithm, and the sixth preset algorithm, therefore, the parameters to be measured in this application are simple, less affected by the environment, and the calculation process is simple and accurate, and the absolute humidity difference is obtained through the relationship between relative humidity, absolute humidity, saturated humidity and absolute humidity difference, so that the accuracy is high and less affected by the environment.

[0139] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the purpose and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

Claims

1. An absolute humidity difference detection device for use in an agricultural environment, comprising a bracket (1) installed in a farmland, a dry-bulb and wet-bulb thermometer (2) and a mercury barometer (3) installed in the middle of the bracket (1), characterized in that: The dry-bulb and wet-bulb thermometer (2) comprises a dry-bulb temperature probe (4), a wet-bulb temperature probe (5) and a water storage tank (6); the wet-bulb temperature probe (5) is wrapped with gauze (7), the lower end of the gauze (7) is immersed in the water storage tank (6); the dry-bulb temperature probe (4) and the wet-bulb temperature probe (5) are used to check the dry-bulb temperature and the wet-bulb temperature in an agricultural environment, respectively; The mercury barometer (3) is used to measure the atmospheric pressure in an agricultural environment.

2. The absolute humidity difference detection device for agricultural environment according to claim 1, characterized in that: A solar power supply module is installed on the top of the bracket (1), a camera (8) is installed in the middle of the bracket (1), the camera (8) is electrically connected to a controller, the controller is electrically connected to a wireless transmission module, and the camera (8), the controller and the wireless transmission module are all electrically connected to the solar power supply module; The solar power supply module comprises a solar panel (9) and a storage battery, wherein the solar panel (9) is used to directly convert solar radiation energy into direct current, and the storage battery is used to store the electric energy generated by the solar panel (9) and to supply power to the camera (8), the controller and the wireless transmission module; The lens of the camera (8) is facing the dry-bulb thermometer (2) and the mercury barometer (3), and the camera (8) is used to record the values ​​of the dry-bulb thermometer (2) and the mercury barometer (3); The controller is used to control the solar power supply module to convert solar energy into electrical energy, and transmit the values ​​of the dry-bulb thermometer (2) and the mercury barometer (3) recorded by the camera (8) to the controller through the wireless transmission module.

3. A method for calculating absolute humidity difference in an agricultural environment, characterized in that: The method comprises obtaining the dry-bulb temperature, wet-bulb temperature and atmospheric pressure of the agricultural environment, and determining the dry-bulb and wet-bulb coefficients of the dry-bulb and wet-bulb according to the wind speed, wet-bulb material and the structure of the dry-bulb and wet-bulb measuring box in the agricultural environment; Calculate the saturated humidity and the absolute humidity according to the dry-bulb temperature, the wet-bulb temperature, the atmospheric pressure, the dry-bulb coefficient, the preset saturated humidity algorithm, and the preset absolute humidity algorithm; The absolute humidity difference of the environment is calculated according to the saturated humidity and the absolute humidity.

4. The absolute humidity difference calculation method for agricultural environment according to claim 3, characterized in that: The dry-bulb temperature, the wet-bulb temperature, the atmospheric pressure, the dry-bulb coefficient, the preset saturated humidity algorithm, and the preset absolute humidity algorithm are used to calculate the saturated humidity and the absolute humidity, and the steps include: Calculating the saturated water vapor pressure of an ideal gas according to the dry-bulb temperature of the agricultural environment and a first preset algorithm; Calculate the saturated water vapor pressure of moist air under a non-ideal state according to the saturated water vapor pressure of the ideal gas and a second preset algorithm; Calculate the saturated pressure of water vapor on the surface of the humid air according to the saturated water vapor pressure of the ideal gas, the saturated water vapor pressure of the humid air under non-ideal conditions, and the third preset algorithm; Calculating the water vapor pressure on the humid air water surface according to the saturated water vapor pressure on the humid air water surface, the atmospheric pressure, the wet bulb temperature, the dry-bulb coefficient and a fourth preset algorithm; Calculating the saturated humidity of the agricultural environment according to the molar mass of water, the saturated pressure of water vapor above the water surface of moist air, the universal gas constant, the Kelvin temperature of the agricultural environment and a fifth preset algorithm; Calculating the absolute humidity of the agricultural environment based on the molar mass of water, the water vapor pressure above the water surface of the moist air, the universal gas constant, the Kelvin temperature of the agricultural environment, and a sixth preset algorithm; According to the saturated humidity and the absolute humidity, the absolute humidity difference of the agricultural environment is calculated including: The difference between the saturated humidity of the agricultural environment and the absolute humidity of the agricultural environment is taken as the absolute humidity difference of the environment.

5. The absolute humidity difference calculation method for agricultural environment according to claim 4, characterized in that: The first preset algorithm is: Wherein a0, a1, a2, a3, a4, a5, a6 represent approximation parameters, and T represents the Kelvin temperature in the agricultural environment.

6. The absolute humidity difference calculation method for agricultural environment according to claim 5, characterized in that: The second preset algorithm is: a(t)=a0+a1t+a2t 2 +a3t 3 1 β(t)=b0+b1t+b2t 2 +b3t 3 1 Among them, E WS represents the saturated water vapor pressure of an ideal gas on the water surface, t represents the temperature, p represents the atmospheric pressure, and f(t,p) represents the saturated water vapor pressure of moist air under non-ideal conditions.

7. The absolute humidity difference calculation method for agricultural environment according to claim 6, characterized in that: The third preset algorithm is: p ws =E WS (t w +273.15)·f(t,p) Among them, p ws Indicates the saturated pressure of water vapor above the water surface of moist air.

8. The absolute humidity difference calculation method for agricultural environment according to claim 7, characterized in that: The fourth preset algorithm is: p w =p ws -p·A(t-t w ) Where A represents the dry-bulb coefficient, t w Indicates the wet bulb temperature.

9. The absolute humidity difference calculation method for agricultural environment according to claim 8, characterized in that: The fifth preset algorithm is: Among them, SH represents the saturated humidity of the agricultural environment, M H2O Represents the molar mass of water.

10. The absolute humidity difference calculation method for agricultural environment according to claim 9, characterized in that: The sixth preset algorithm is: Among them, AH represents the absolute humidity of the agricultural environment.

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