Humidity field measurement method and system

Abstract

The present invention discloses a humidity field measurement method and system, which includes: constructing a water vapor measurement model corresponding to a non-dispersive infrared module; calibrating the output voltage collected by a thermal imager based on temperature changes and temperature calibration information to obtain a corresponding temperature field matrix; measuring the detection signal and the air pressure signal according to the water vapor measurement model to obtain the corresponding current actual water vapor partial pressure; parsing the temperature signal according to the temperature field matrix to obtain the corresponding current temperature information; calculating the current actual water vapor partial pressure and the current temperature information according to a preset humidity calculation rule to obtain the corresponding humidity measurement value. The above method processes the signals collected by each module to detect and obtain a humidity measurement value containing the regional humidity field distribution, thereby improving the adaptability and reliability of humidity measurement; in the case of large regional spatial temperature changes, humidity measurement data that accurately reflects the spatial distribution of humidity in the space can be obtained.

Description

Technical Field

[0001] The present invention relates to the field of sensor technology, and in particular to a humidity field measurement method and system. Background Art

[0002] In the field of humidity measurement, absolute humidity (AH) and relative humidity (RH) are two fundamental parameters that describe the water vapor content in air. Traditional humidity measurement techniques rely primarily on point-type humidity sensors, such as capacitive or resistive sensors, to reflect ambient humidity conditions by measuring relative humidity. These sensors exploit the principle that the capacitance or resistance of a hygroscopic material changes when it absorbs water. However, these traditional humidity sensors have several limitations. First, they are significantly affected by temperature fluctuations, requiring additional temperature compensation to improve measurement accuracy. Second, they can only measure humidity at a single point in space and cannot effectively capture the spatial heterogeneity of the humidity field caused by temperature gradients, resulting in insufficient spatial resolution for humidity detection. Third, in environments with constantly changing temperature and humidity, point-type sensors may not be able to accurately and timely reflect humidity changes, especially in industrial process control applications that require rapid response. Consequently, their dynamic adaptability is poor. Finally, to achieve multi-point humidity detection, existing technologies require the deployment of multi-sensor arrays, but these technologies are subject to high cost, complex installation, and difficulty in data fusion. This makes true humidity field reconstruction difficult, leading to low system integration. Therefore, the humidity sensor in the prior art method has the problem of being unable to accurately and efficiently measure the spatial distribution of humidity in a space. Summary of the Invention

[0003] The embodiments of the present invention provide a humidity field measurement method and system, aiming to solve the problem that humidity sensors in prior art methods cannot accurately and efficiently measure the spatial distribution of humidity in a space.

[0004] In a first aspect, an embodiment of the present invention provides a humidity field measurement method, which is applied to a controller of a humidity field measurement system. The humidity field measurement system further includes a non-dispersive infrared module (NDIR), a thermal imager, and an air pressure sensor that are communicatively connected to the controller. The method includes:

[0005] Constructing a water vapor measurement model corresponding to the non-dispersive infrared module;

[0006] Calibrate the output voltage collected by the thermal imager based on temperature changes to obtain a corresponding temperature field matrix;

[0007] Measure the detection signal and the air pressure signal according to the water vapor measurement model to obtain the corresponding current actual water vapor partial pressure; the detection signal is the signal collected by the non-dispersive infrared module, and the air pressure signal is the signal collected by the air pressure sensor;

[0008] The temperature signal is parsed according to the temperature field matrix to obtain corresponding current temperature information; the temperature signal is a voltage signal obtained by the thermal imager detecting the temperature of multiple grids in the regional space;

[0009] The current actual water vapor partial pressure and the current temperature information are calculated according to a preset humidity calculation rule to obtain a corresponding humidity measurement value.

[0010] In a second aspect, an embodiment of the present invention further provides a humidity field measurement system, wherein a controller in the humidity field measurement system applies the humidity field measurement method described in the first aspect above, and the humidity field measurement system further includes a non-dispersive infrared module, a thermal imager, a first signal sampling circuit, a second signal sampling circuit, and an air pressure sensor;

[0011] The non-dispersive infrared module is electrically connected to a signal transmission terminal of the controller via the first signal sampling circuit, and the thermal imager is electrically connected to another signal transmission terminal of the controller via the second signal sampling circuit; the air pressure sensor is electrically connected to another signal transmission terminal of the controller;

[0012] The non-dispersive infrared module is equipped with a reference channel sensing component and a measurement channel sensing component; the reference channel sensing component and the measurement channel sensing component respectively output sensing signals and are combined into a detection signal collected by the non-dispersive infrared module.

[0013] An embodiment of the present invention provides a humidity field measurement method and system, comprising: constructing a water vapor measurement model corresponding to a non-dispersive infrared module; calibrating the output voltage collected by a thermal imager based on temperature changes and temperature calibration information to obtain a corresponding temperature field matrix; measuring the detection signal and the air pressure signal according to the water vapor measurement model to obtain the corresponding current actual water vapor partial pressure; parsing the temperature signal according to the temperature field matrix to obtain the corresponding current temperature information; and calculating the current actual water vapor partial pressure and current temperature information according to preset humidity calculation rules to obtain the corresponding humidity measurement value. The above method processes the signals collected by each module to detect and obtain a humidity measurement value that includes the regional humidity field distribution, thereby improving the adaptability and reliability of humidity measurement. In the case of large regional spatial temperature changes, humidity measurement data that accurately reflects the spatial distribution of humidity within the space can be obtained. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0015] Figure 1 A flow chart of a humidity field measurement method provided by an embodiment of the present invention;

[0016] Figure 2 A schematic structural diagram of a humidity field measurement system provided in an embodiment of the present invention;

[0017] Figure 3 A schematic structural diagram of a non-dispersive infrared module provided in an embodiment of the present invention;

[0018] Figure 4 A schematic diagram of the application effect of the humidity field measurement system provided by an embodiment of the present invention;

[0019] Figure 5 It is a schematic block diagram of a computer device provided by an embodiment of the present invention.

[0020] Figure numerals: 1. non-dispersive infrared module; 2. thermal imager; 3. first signal sampling circuit; 4. second signal sampling circuit; 5. air pressure sensor; 6. controller; 11. infrared light source; 12. reference channel sensing component; 13. measurement channel sensing component; 31. first preamplifier circuit; 32. first signal conversion circuit; 41. second preamplifier circuit; 42. second signal conversion circuit; 14. air chamber. DETAILED DESCRIPTION

[0021] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0022] It will be understood that when used in this specification and the appended claims, the terms “comprises” and “comprising” indicate the presence of described features, integers, steps, operations, elements and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof.

[0023] It should also be understood that the terms used in the present specification are only for the purpose of describing particular embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0024] It should be further understood that the term "and / or" used in the present description and appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0025] See also Figure 1 As shown in the figure, the embodiment of the present invention provides a humidity field measurement method, which is applied to the controller of the humidity field measurement system and is executed by the application software installed in the controller. Figure 2 As shown, the controller is respectively connected to the non-dispersive infrared module, thermal imager and air pressure sensor configured in the humidity field measurement system. The controller is a device with detection signal acquisition, instruction transmission and reception and data processing, such as an MCU chip. The controller can send the humidity measurement value to the external display device through an external display device to visualize the data information; the controller can be a terminal device with an integrated MCU chip and a display, such as a desktop computer, laptop computer, tablet computer or mobile phone, etc., and the controller can directly display the humidity measurement value after obtaining it. Figure 1 As shown, the method includes steps S110 to S150.

[0026] S110: Construct a water vapor measurement model corresponding to the non-dispersive infrared module.

[0027] A water vapor measurement model corresponding to a non-dispersive infrared module can be constructed, wherein the non-dispersive infrared module is configured with a reference channel sensing component and a measurement channel sensing component; the reference channel sensing component and the measurement channel sensing component respectively output a set of voltage signals, and the voltage signal output by the reference channel sensing component is converted into a digital-to-analog conversion to serve as the collected reference induced voltage, and the voltage signal output by the measurement channel sensing component is converted into a digital-to-analog conversion to serve as the collected measurement induced voltage.

[0028] By obtaining the corresponding relationship between humidity value, reference induced voltage and measured induced voltage, a water vapor measurement model is constructed. Figure 3 The non-dispersive infrared module shown corresponds to the build.

[0029] In a specific embodiment, step S110 includes the sub-steps of: obtaining a measurement result obtained by the non-dispersive infrared module measuring the continuously changing water vapor concentration; and setting parameters of a preset initial model according to the measurement result to obtain a corresponding water vapor measurement model.

[0030] First, obtain the measurement results of the continuously changing water vapor concentration using the non-dispersive infrared module. These results include the reference induced voltage and the measured induced voltage corresponding to each water vapor concentration. By setting the parameters of the initial model based on the measurement results, the corresponding water vapor measurement model can be constructed.

[0031] Specifically, according to the Beer-Lambert law, when a beam of light passes through water vapor, some of the light energy will be absorbed by the water vapor, resulting in a decrease in the intensity of the transmitted light. Its mathematical expression can be expressed using formula (1):

[0032] (1);

[0033] Where I is the transmitted light intensity, I0 is the initial light intensity, α is the water vapor absorption coefficient, c is the water vapor concentration, and L is the optical path length. This law shows that the voltage signal output by the sensing component (reference channel sensing component or measurement channel sensing component) is exponentially related to the medium (water vapor) concentration: the higher the concentration, the smaller the voltage signal value. Therefore, by measuring the magnitude of the output voltage signal, the medium (water vapor) concentration can be inferred.

[0034] For water vapor detection, its absorption spectrum is as follows Figure 4 As shown in the figure, it has a main absorption peak in the near-infrared band of 2.5μm to 2.9μm. Based on this principle, the technical method of this application constructs a non-dispersive infrared module based on dual-channel differential infrared humidity detection, and its structure is as follows: Figure 3 As shown in the figure, after being absorbed by water vapor, the infrared light emitted by the infrared light source reaches the two sensing components of the non-dispersive infrared module. The measurement channel sensing component uses a filter with a central wavelength of 2.7μm to match the absorption spectrum of water vapor molecules, while the reference channel sensing component uses a filter with a central wavelength of 3.95μm to effectively avoid the water vapor absorption peak. During humidity measurement, the light intensity received by the reference channel sensing component is mainly used to compensate for the effects of non-absorption factors such as light source intensity variations and optical path loss on the measurement results. By comparing the two sets of induced voltages detected by the two channels, the volume concentration c of water vapor can be accurately analyzed.

[0035] For the reference channel sensing component, the reference sensing voltage U ref ∝I ref , I refThat is, the light intensity received by the reference channel sensing component; for the measurement channel sensing component, the output measurement induction voltage U mea ∝I mea , I mea This is the light intensity received by the sensing component of the measurement channel. Combining the above formula (1), the corresponding relationship of the reference channel can be obtained as shown in formula (2), and the relationship of the measurement channel can be obtained as shown in formula (3):

[0036] (2);

[0037] (3);

[0038] Among them, U ref is the reference induced voltage, U mea To measure the induced voltage, K ref and K mae Represent the transmission efficiency of the reference channel and the measurement channel respectively, α ref Represents the absorption coefficient of the reference channel, which is zero here, α mea It represents the absorption coefficient of the measurement channel, L is the optical path length (the straight-line distance between the infrared light source and the sensing component), and c is the volume concentration of water vapor.

[0039] By simplifying the above formulas (2) and (3), we can obtain formula (4):

[0040] (4);

[0041] Further transforming formula (4) can obtain formula (5):

[0042] (5);

[0043] From formula (5), we can know that the volume concentration c of the gas is not affected by the power of the light source. Therefore, formula (5) can be used as the initial model when the parameter values ​​are not determined, where L is a fixed value, c, U ref and U mea are all variables, α mea , K ref and K mae is an unknown parameter. The reference induced voltage and measured induced voltage corresponding to each water vapor concentration can be analyzed and fitted to obtain the specific values ​​of the unknown parameters in the above formula. After setting the values ​​of each parameter in the initial model, the water vapor measurement model can be obtained.

[0044] S120 , calibrating the output voltage collected by the thermal imager based on temperature changes to obtain a corresponding temperature field matrix.

[0045] Furthermore, the output voltage obtained by the thermal imager for temperature detection can be obtained based on the temperature change. Each temperature value corresponds to a set of output voltage values ​​of the thermal imager. Through the correspondence between the real temperature value and the output voltage value of the thermal imager, the output voltage is calibrated to construct the corresponding temperature field matrix.

[0046] In a specific embodiment, step S120 includes sub-steps of: calibrating the output voltage according to the actual temperature value to obtain temperature calibration information; and performing spatial grid sampling on the output voltage according to the temperature calibration information to construct a discrete temperature field matrix.

[0047] Specifically, the output voltage can be calibrated based on the actual temperature value, establishing a one-to-one correspondence between the output voltage and the actual temperature value. Specifically, a high-precision blackbody radiation source can be used to perform multi-point temperature calibration on the infrared thermal imager, thereby obtaining temperature calibration information. Acquiring this temperature calibration information involves establishing a conversion model between the thermal imager's output voltage and the actual temperature, thereby ensuring that the temperature measurement error within the test range is controlled within ±0.5°C.

[0048] Based on the temperature calibration information obtained during calibration, the thermal imager's output voltage is resampled in a spatial grid. This spatial grid sampling of the output voltage based on the temperature calibration information constructs a discrete temperature field matrix T(x,y) (unit: °C) to accurately represent the temperature distribution. Once the coordinates (x1,y1) corresponding to a point in space on the grid and the voltage value at that grid are determined, the temperature value corresponding to that grid coordinate (x1,y1) can be obtained from the temperature field matrix, expressed as T(x1,y1) (unit: °C).

[0049] S130 : Measure the detection signal and the air pressure signal according to the water vapor measurement model to obtain the corresponding current actual water vapor partial pressure.

[0050] The detection signal and air pressure signal obtained can be measured according to the above-mentioned water vapor measurement model to determine the current actual water vapor partial pressure. The detection signal is the signal collected by the non-dispersive infrared module, and the air pressure signal is the signal collected by the air pressure sensor.

[0051] Specifically, the detection signal includes a reference induced voltage and a corresponding measured induced voltage. Substituting the two voltage values ​​in the detection signal into the water vapor measurement model corresponding to Equation (5) yields the water vapor volume concentration c. The current actual water vapor partial pressure e = c × p is further determined by multiplying the water vapor volume concentration c by the air pressure value p in the air pressure signal. The current actual water vapor partial pressure e is measured by measuring the real-time air pressure p in the current environment using the air pressure sensor, thereby correcting the water vapor volume concentration c and improving the accuracy of humidity measurement.

[0052] S140 , analyzing the temperature signal according to the temperature field matrix to obtain corresponding current temperature information.

[0053] Furthermore, the temperature signal obtained by constructing the temperature field matrix obtained by the above steps can be analyzed, wherein the temperature signal is a voltage signal obtained by the thermal imager detecting the temperature of multiple grids in the regional space. The current temperature information obtained by the analysis includes the temperature value of each grid. The temperature field matrix can analyze the voltage signal of each grid separately to obtain a corresponding temperature value. The voltage signal of each grid is analyzed by the temperature field matrix separately to obtain the current temperature information. The current temperature information can be specifically expressed as T(x i ,y j ), where i is the horizontal identifier of the grid, i∈N and i is an integer, N is the total number of horizontal grids; j is the vertical identifier of the grid, j∈M and j is an integer, M is the total number of vertical grids.

[0054] S150: Calculate the current actual water vapor partial pressure and the current temperature information according to a preset humidity calculation rule to obtain a corresponding humidity measurement value.

[0055] According to the humidity calculation rules, the current actual water vapor partial pressure and current temperature information are calculated to obtain the humidity measurement value. The humidity measurement value includes the humidity value corresponding to each grid. The humidity measurement value can reflect the spatial distribution of humidity in the space.

[0056] In a specific embodiment, the humidity measurement value includes an absolute humidity value and / or a relative humidity value. Step S150 includes sub-steps: calculating the current actual water vapor partial pressure and the current temperature information according to the absolute humidity calculation formula in the humidity calculation rule to obtain the corresponding absolute humidity value; calculating the current actual water vapor partial pressure and the current temperature information according to the relative humidity calculation formula in the humidity calculation rule to obtain the corresponding relative humidity value.

[0057] Specifically, the humidity measurement value may include an absolute humidity value or a relative humidity value, or may include both absolute and relative humidity values. The absolute humidity value, which includes the absolute humidity value for each grid, can be calculated using the absolute humidity calculation formula in the humidity calculation rules based on the current actual water vapor partial pressure and current temperature information. The relative humidity value, which includes the relative humidity value for each grid, can be calculated using the relative humidity calculation formula in the humidity calculation rules based on the current actual water vapor partial pressure and current temperature information.

[0058] In a specific embodiment, the current actual water vapor partial pressure and the current temperature information are calculated according to the absolute humidity calculation formula in the humidity calculation rule to obtain the corresponding absolute humidity value, including: combining the current actual water vapor partial pressure with the temperature value of each grid in the current temperature information to obtain corresponding combination information; and inputting the combination information into the absolute humidity calculation formula in sequence to calculate the absolute humidity value corresponding to each combination information.

[0059] Specifically, the current actual water vapor partial pressure can be combined with the temperature value of each grid in the current temperature information. Then, a set of combined information includes the current actual water vapor partial pressure and the temperature value of a grid. The obtained combined information is sequentially input into the absolute humidity calculation formula, which is shown in formula (6):

[0060] (6);

[0061] AH(x,y) is the absolute humidity value of the grid coordinate (x,y), M ω is the molar mass of water vapor, R is the universal gas constant, M ω and R are fixed values, e is the current actual water vapor partial pressure, and T(x,y) is the temperature value of the grid coordinate (x,y).

[0062] In a specific embodiment, the current actual water vapor partial pressure and the current temperature information are calculated according to the relative humidity calculation formula in the humidity calculation rule to obtain the corresponding relative humidity value, including: calculating the temperature value of each grid in the current temperature information by the saturated water vapor pressure calculation formula in the relative humidity calculation formula to obtain the saturated water vapor pressure value of each grid; and analyzing the current actual water vapor partial pressure and the saturated water vapor pressure value of each grid by the analytical calculation formula in the relative humidity calculation formula to obtain the relative humidity value corresponding to each grid.

[0063] The temperature value of each grid in the current temperature information is further calculated according to the saturated water vapor pressure calculation formula in the humidity calculation formula, thereby obtaining the saturated water vapor pressure value of each grid. The saturated water vapor pressure calculation formula is shown in formula (7):

[0064] (7);

[0065] e s (T) is the saturated water vapor pressure value of the grid, and T(x,y) is the temperature value of the grid coordinate (x,y).

[0066] The saturated water vapor pressure value and the current actual water vapor partial pressure obtained in the above steps are further analyzed by the analytical calculation formula in the relative humidity calculation formula to obtain the relative humidity value of each grid. The analytical calculation formula is shown in formula (8):

[0067] (8);

[0068] RH(x,y) is the relative humidity value of the grid coordinate (x,y), e s (T) is the saturated water vapor pressure value of the grid, and e is the current actual water vapor partial pressure.

[0069] In a specific embodiment, after step S150, the steps are further included: normalizing the humidity measurement values ​​to map and obtain normalized values ​​corresponding to each humidity value in the humidity measurement values; mapping each normalized value according to a color mapping model to obtain a color value corresponding to each normalized value; and pixel-filling the color value of each humidity value according to a grid position corresponding to each humidity value in the humidity measurement values ​​to generate a humidity spatial distribution image.

[0070] Furthermore, the humidity measurements can be normalized to obtain normalized values ​​for each humidity value, with the normalized values ​​falling within the range [0, 1]. The normalized values ​​are mapped to corresponding color values ​​using a color mapping model (such as a rainbow color mapping function), for example, to an RGB color value. The absolute humidity values ​​include the humidity values ​​for each grid. The color values ​​for each humidity value in the absolute humidity values ​​can be filled in pixels based on their grid positions, thereby generating a humidity image matrix corresponding to the absolute humidity values. This humidity image matrix can also be used to visually present the spatial distribution of humidity in the form of a pseudo-color image. Similarly, the color values ​​for each humidity value in the relative humidity values ​​can be filled in pixels based on their grid positions, thereby generating a humidity image matrix corresponding to the relative humidity values. The resulting humidity image matrix serves as the corresponding humidity spatial distribution image, which then includes one or two humidity image matrices. This humidity spatial distribution image can be displayed on an external display device or directly on the controller's internal display.

[0071] In the humidity field measurement method disclosed in the above embodiment, the method includes: constructing a water vapor measurement model corresponding to the non-dispersive infrared module; calibrating the output voltage collected by the thermal imager based on temperature changes and temperature calibration information to obtain a corresponding temperature field matrix; measuring the detection signal and the air pressure signal according to the water vapor measurement model to obtain the corresponding current actual water vapor partial pressure; parsing the temperature signal according to the temperature field matrix to obtain the corresponding current temperature information; calculating the current actual water vapor partial pressure and the current temperature information according to a preset humidity calculation rule to obtain the corresponding humidity measurement value. The above method processes the signals collected by each module to detect and obtain a humidity measurement value containing the regional humidity field distribution, thereby improving the adaptability and reliability of humidity measurement; in the case of large regional spatial temperature changes, humidity measurement data that accurately reflects the spatial distribution of humidity in the space can be obtained.

[0072] The embodiment of the present invention further provides a humidity field measurement system, wherein the controller in the humidity field measurement system applies any embodiment of the humidity field measurement method described above. Figure 2 and Figure 3 .

[0073] like Figure 2 and Figure 3 As shown, the humidity field measurement system also includes a non-dispersive infrared module, a thermal imager, a first signal sampling circuit, a second signal sampling circuit and an air pressure sensor; the non-dispersive infrared module is electrically connected to a signal transmission end of the controller through the first signal sampling circuit, and the thermal imager is electrically connected to another signal transmission end of the controller through the second signal sampling circuit; the air pressure sensor is electrically connected to another signal transmission end of the controller; the non-dispersive infrared module is configured with a reference channel sensing component and a measurement channel sensing component; the reference channel sensing component and the measurement channel sensing component respectively output sensing signals and are combined into a detection signal collected by the non-dispersive infrared module.

[0074] Among them, non-dispersive infrared modules such as Figure 3 As shown, the non-dispersive infrared module consists of an air chamber, an infrared light source, a reference channel sensing component, and a measurement channel sensing component. The infrared light source and sensing components are placed on either side of the air chamber. When water vapor enters the air chamber, the reference channel sensing component senses the light beam emitted by the infrared light source and passes through the water vapor. The measurement channel sensing component also senses the light beam emitted by the infrared light source and passes through the water vapor. A thermal imager can use a thermopile array, which consists of N×M grids, each of which can perform independent temperature measurements.

[0075] In a more specific embodiment, Figure 2As shown, the first signal sampling circuit includes a first preamplifier circuit and a first signal conversion circuit; the input of the first preamplifier circuit is connected to the non-dispersive infrared module, the output of the first signal conversion circuit is connected to the input of the first signal conversion circuit, and the output of the first signal conversion circuit is connected to the controller. The second signal sampling circuit includes a second preamplifier circuit and a second signal conversion circuit; the input of the second preamplifier circuit is connected to the thermal imager, the output of the second preamplifier circuit is connected to the input of the second signal conversion circuit, and the output of the second signal conversion circuit is connected to the controller.

[0076] The first preamplifier circuit is used to amplify the analog signal, and the first signal conversion circuit is used to convert the amplified analog signal into a digital signal. The second preamplifier circuit and the second signal conversion circuit have similar functions.

[0077] The humidity field measurement system described above applies the humidity field measurement method described above, and has the following application effects: (1) improving the adaptability and reliability of humidity measurement, especially providing more accurate humidity and temperature data in situations where temperature changes are large; (2) achieving full-field high-resolution humidity mapping, generating a visual humidity field distribution, and supporting rapid decision-making and precise control; (3) being able to flexibly adjust the humidity measurement and display methods according to different application scenarios to meet the needs of different users. The humidity field measurement system in this application can be applied to agricultural greenhouse environment monitoring and precise control, industrial drying workshop humidity control, building heating, ventilation and air conditioning (HVAC) system optimization, storage environment monitoring, semiconductor production workshop environment control, meteorological observation and research, food processing and storage environment monitoring, and cultural relics protection environment monitoring.

[0078] The controller in the humidity field measurement system provided in the embodiment of the present invention applies the above-mentioned humidity field measurement method to construct a water vapor measurement model corresponding to the non-dispersive infrared module; calibrates the output voltage collected by the thermal imager based on the temperature change and temperature calibration information to obtain the corresponding temperature field matrix; measures the detection signal and the air pressure signal according to the water vapor measurement model to obtain the corresponding current actual water vapor partial pressure; analyzes the temperature signal according to the temperature field matrix to obtain the corresponding current temperature information; calculates the current actual water vapor partial pressure and the current temperature information according to the preset humidity calculation rules to obtain the corresponding humidity measurement value. The above-mentioned method processes the signals collected by each module to detect and obtain the humidity measurement value containing the regional humidity field distribution, thereby improving the adaptability and reliability of humidity measurement; in the case of large regional spatial temperature changes, humidity measurement data that accurately reflects the spatial distribution of humidity in the space can be obtained.

[0079] The above humidity field measurement method can be implemented in the form of a computer program. The computer program can be used in Figure 5If the computer device shown in FIG. 1 is used, the controller can be implemented as follows: Figure 5 Computer equipment shown.

[0080] See also Figure 5 , Figure 5 1 is a schematic block diagram of a computer device provided by an embodiment of the present invention. The computer device may be a controller for executing a humidity field measurement method to measure the humidity field of a regional space.

[0081] See Figure 5 The computer device 500 includes a processor 502 , a memory, and a network interface 505 connected via a communication bus 501 , wherein the memory may include a storage medium 503 and an internal memory 504 .

[0082] The storage medium 503 may store an operating system 5031 and a computer program 5032. When the computer program 5032 is executed, the processor 502 may execute the humidity field measurement method. The storage medium 503 may be a volatile storage medium or a non-volatile storage medium.

[0083] The processor 502 is used to provide computing and control capabilities to support the operation of the entire computer device 500.

[0084] The internal memory 504 provides an environment for the operation of the computer program 5032 in the storage medium 503. When the computer program 5032 is executed by the processor 502, the processor 502 can execute the humidity field measurement method.

[0085] The network interface 505 is used for network communication, such as providing data information transmission. Those skilled in the art will understand that Figure 5 The structure shown in the figure is merely a block diagram of a portion of the structure related to the solution of the present invention and does not constitute a limitation on the computer device 500 to which the solution of the present invention is applied. The specific computer device 500 may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0086] The processor 502 is configured to run a computer program 5032 stored in the memory to implement corresponding functions in the above-mentioned humidity field measurement method.

[0087] Those skilled in the art will understand that Figure 5 The embodiment of the computer device shown in the figure does not constitute a limitation on the specific composition of the computer device. In other embodiments, the computer device may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently. For example, in some embodiments, the computer device may only include a memory and a processor. In such an embodiment, the structure and function of the memory and processor are the same as those in the figure. Figure 5 The embodiments shown are consistent and will not be described again here.

[0088] It should be understood that in the embodiment of the present invention, the processor 502 may be a central processing unit (CPU), and the processor 502 may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc.

[0089] In another embodiment of the present invention, a computer-readable storage medium is provided. The computer-readable storage medium may be volatile or non-volatile. The computer-readable storage medium stores a computer program, wherein when the computer program is executed by a processor, the steps included in the above-mentioned humidity field measurement method are implemented.

[0090] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described equipment, devices and units can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here. Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented with electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0091] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, or units with the same function may be combined into one unit. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interfaces, devices or units, or may be an electrical, mechanical or other form of connection.

[0092] 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 these units may be selected according to actual needs to achieve the objectives of the embodiments of the present invention.

[0093] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0094] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a computer-readable storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in various embodiments of the present invention. The aforementioned computer-readable storage medium includes various media that can store program code, such as USB flash drives, mobile hard drives, read-only memories (ROMs), magnetic disks, or optical disks.

[0095] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and such modifications or substitutions are intended to be within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be subject to the scope of protection of the claims.

Claims

1. A humidity field measurement method, characterized in that: The method is applied to a controller of a humidity field measurement system, wherein the humidity field measurement system further includes a non-dispersive infrared module, a thermal imager, and an air pressure sensor that are communicatively connected to the controller. The method includes: Constructing a water vapor measurement model corresponding to the non-dispersive infrared module; Calibrate the output voltage collected by the thermal imager based on temperature changes to obtain a corresponding temperature field matrix; Calculating the detection signal and the air pressure signal according to the water vapor measurement model to obtain the corresponding current actual water vapor partial pressure; the detection signal is the signal collected by the non-dispersive infrared module, and the air pressure signal is the signal collected by the air pressure sensor; The temperature signal is parsed according to the temperature field matrix to obtain corresponding current temperature information; the temperature signal is obtained by parsing the voltage signal obtained by the thermal imager detecting the temperature of multiple grids in the regional space; Calculating the current actual water vapor partial pressure and the current temperature information according to a preset humidity calculation rule to obtain a corresponding humidity measurement value; The humidity measurement value includes an absolute humidity value and / or a relative humidity value, and the current actual water vapor partial pressure and the current temperature information are calculated according to a preset humidity calculation rule to obtain a corresponding humidity measurement value, including: Calculate the current actual water vapor partial pressure and current temperature information according to the absolute humidity calculation formula in the humidity calculation rule to obtain a corresponding absolute humidity value; Calculate the current actual water vapor partial pressure and current temperature information according to the relative humidity calculation formula in the humidity calculation rule to obtain a corresponding relative humidity value; The current actual water vapor partial pressure and current temperature information are calculated according to the relative humidity calculation formula in the humidity calculation rule to obtain a corresponding relative humidity value, including: Calculating the temperature value of each grid in the current temperature information using the saturated water vapor pressure calculation formula in the relative humidity calculation formula to obtain the saturated water vapor pressure value of each grid; The current actual water vapor partial pressure and the saturated water vapor pressure value of each grid are analyzed by the analytical calculation formula in the relative humidity calculation formula to obtain the relative humidity value corresponding to each grid.

2. The humidity field measurement method according to claim 1, characterized in that: The constructing of a water vapor measurement model corresponding to the non-dispersive infrared module includes: Obtaining a measurement result obtained by the non-dispersive infrared module measuring the continuously changing water vapor concentration; The parameters of the preset initial model are set according to the measurement results to obtain a corresponding water vapor measurement model.

3. The humidity field measurement method according to claim 1, characterized in that: The step of calibrating the output voltage collected by the thermal imager based on the temperature change to obtain a corresponding temperature field matrix includes: Calibrate the output voltage according to the actual temperature value to obtain temperature calibration information; The output voltage is spatially gridded and sampled according to the temperature calibration information to construct a discrete temperature field matrix.

4. The humidity field measurement method according to claim 1, characterized in that: The calculating of the current actual water vapor partial pressure and the current temperature information according to the absolute humidity calculation formula in the humidity calculation rule to obtain the corresponding absolute humidity value includes: Combining the current actual water vapor partial pressure with the temperature value of each grid in the current temperature information to obtain corresponding combination information; The combination information is sequentially input into the absolute humidity calculation formula to calculate the absolute humidity value corresponding to each combination information.

5. The humidity field measurement method according to claim 1 or 4, characterized in that: After calculating the current actual water vapor partial pressure and the current temperature information according to the preset humidity calculation rule to obtain the corresponding humidity measurement value, the method further includes: Normalizing the humidity measurement values ​​to obtain normalized values ​​corresponding to the humidity values ​​in the humidity measurement values; Map each normalized value according to the color mapping model to obtain the color value corresponding to each normalized value; According to the grid position corresponding to each humidity value in the humidity measurement value, pixel filling is performed on the color value of each humidity value to generate a humidity spatial distribution image.

6. A humidity field measurement system, characterized in that: The controller in the humidity field measurement system applies the humidity field measurement method according to any one of claims 1 to 5, and the humidity field measurement system further includes a non-dispersive infrared module, a thermal imager, a first signal sampling circuit, a second signal sampling circuit, and an air pressure sensor; The non-dispersive infrared module is electrically connected to a signal transmission terminal of the controller via the first signal sampling circuit, and the thermal imager is electrically connected to another signal transmission terminal of the controller via the second signal sampling circuit; the air pressure sensor is electrically connected to another signal transmission terminal of the controller; The non-dispersive infrared module is equipped with a reference channel sensing component and a measurement channel sensing component; the reference channel sensing component and the measurement channel sensing component respectively output sensing signals and are combined into a detection signal collected by the non-dispersive infrared module.

7. The humidity field measurement system according to claim 6, characterized in that: The first signal sampling circuit includes a first preamplifier circuit and a first signal conversion circuit; The input end of the first preamplifier circuit is connected to the non-dispersive infrared module, the output end is connected to the input end of the first signal conversion circuit, and the output end of the first signal conversion circuit is connected to the controller.

8. The humidity field measurement system according to claim 6, characterized in that: The second signal sampling circuit includes a second preamplifier circuit and a second signal conversion circuit; The input end of the second preamplifier circuit is connected to the thermal imager, the output end is connected to the input end of the second signal conversion circuit, and the output end of the second signal conversion circuit is connected to the controller.

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