Humidity field measurement method and system

Abstract

The invention discloses a humidity field measurement method and system. The method comprises the following steps: constructing a water vapor measurement model corresponding to a non-dispersive infrared module; calibrating the output voltage acquired by the thermal imager based on the temperature change and the temperature calibration information to obtain a corresponding temperature field matrix; measuring the detection signal and the air pressure signal according to a water vapor measurement model to obtain a corresponding current actual water vapor partial pressure; analyzing the temperature signal according to the temperature field matrix to obtain corresponding current temperature information; and 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. According to the method, the signals acquired by the modules are processed, the humidity measurement value including regional humidity field distribution is obtained through detection, and the adaptability and reliability of humidity measurement are improved; and under the condition that the regional space temperature change is relatively large, humidity measurement data which accurately reflects the humidity space distribution in the space can be obtained.

Description

Technical Field

[0001] The present invention relates to the technical field of sensors, and particularly 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 basic parameters for describing the water vapor content in the air. In traditional humidity measurement technologies, it mainly relies on point-type humidity sensors, such as capacitive or resistive sensors, to measure the relative humidity to reflect the environmental humidity condition. The principle of measuring humidity is based on the change of capacitance value or resistance value after the moisture-sensitive material absorbs water. However, these traditional humidity sensors have some limitations. Firstly, they are greatly affected by temperature changes and require additional temperature compensation to improve the measurement accuracy. Secondly, they can only measure the humidity value 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 of humidity detection. Thirdly, in an environment where temperature and humidity are constantly changing, the point-type sensor may not be able to reflect the humidity change in a timely and accurate manner, especially in industrial process control that requires rapid response, so its dynamic adaptability is poor. Finally, to achieve multi-point humidity detection, the existing technology needs to deploy a multi-sensor array, but there are problems such as high cost, complex installation, and difficulty in data fusion, making it difficult to achieve true humidity field reconstruction and resulting in low system integration. Therefore, the humidity sensors in the existing technology methods have the problem of being unable to accurately and efficiently measure the spatial distribution of humidity in space. Summary of the Invention

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

[0004] In a first aspect, embodiments of the present invention provide 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), an infrared thermal imager, and a barometric pressure sensor that are communicatively connected to the controller. The method includes: Construct a water vapor measurement model corresponding to the non-dispersive infrared module; Calibrate the output voltage collected by the infrared thermal imager based on temperature changes to obtain a corresponding temperature field matrix; Measure the detection signal and the barometric pressure signal according to the water vapor measurement model to obtain a corresponding current actual water vapor partial pressure; the detection signal is the signal collected by the non-dispersive infrared module, and the barometric pressure signal is the signal collected by the barometric pressure sensor; Analyze the temperature signal according to the temperature field matrix to obtain the corresponding current temperature information; the temperature signal is a voltage signal obtained by the thermal imager detecting the temperatures of multiple grids in the regional space. Calculate 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.

[0005] In a second aspect, an embodiment of the present invention further provides a humidity field measurement system. The controller in the humidity field measurement system applies the humidity field measurement method described in the first aspect above. 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 a barometric 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 barometric pressure sensor is electrically connected to yet another signal transmission end of the controller. The non-dispersive infrared module is configured with a reference channel induction component and a measurement channel induction component; the reference channel induction component and the measurement channel induction component respectively output induction signals and combine them into the detection signal collected by the non-dispersive infrared module.

[0006] An embodiment of the present invention provides a humidity field measurement method and system. 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 the corresponding temperature field matrix; measuring the detection signal and the barometric pressure signal according to the water vapor measurement model to obtain the corresponding current actual water vapor partial pressure; analyzing 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 the preset humidity calculation rule to obtain the corresponding humidity measurement value. The above method processes the signals collected by each module to detect the humidity measurement value including the regional humidity field distribution, improving the adaptability and reliability of humidity measurement; in the case of large temperature changes in the regional space, it can obtain humidity measurement data that accurately reflects the humidity spatial distribution in the space. Description of the Drawings

[0007] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0008] Figure 1 It is a flowchart of the humidity field measurement method provided by an embodiment of the present invention; Figure 2 It is a schematic structural diagram of the humidity field measurement system provided by an embodiment of the present invention; Figure 3 It is a schematic structural diagram of the non-dispersive infrared module provided by an embodiment of the present invention; Figure 4 It is a schematic diagram of the application effect of the humidity field measurement system provided by an embodiment of the present invention; Figure 5 It is a schematic block diagram of a computer device provided by an embodiment of the present invention.

[0009] Reference numerals: 1, non-dispersive infrared module; 2, thermal imager; 3, first signal sampling circuit; 4, second signal sampling circuit; 5, barometric pressure sensor; 6, controller; 11, infrared light source; 12, reference channel induction component; 13, measurement channel induction component; 31, first preamplification circuit; 32, first signal conversion circuit; 41, second preamplification circuit; 42, second signal conversion circuit; 14, gas chamber. Detailed implementation manners

[0010] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0011] It should be understood that when used in this specification and the appended claims, the terms "include" and "comprise" indicate the presence of the described features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.

[0012] It should also be understood that the terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the specification of the present invention and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an", and "the" are intended to include the plural forms.

[0013] It should be further understood that the term " / and" as used in the specification of the present invention and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0014] Please refer to Figure 1, as shown in the figure, an embodiment of the present invention application provides a humidity field measurement method, which is applied to the controller of a humidity field measurement system and is executed by an application software installed in the controller. A specific application scenario is as Figure 2 shown. The controller is respectively communicatively connected to a non-dispersive infrared module, an infrared thermal imager, and a barometric pressure sensor configured in the humidity field measurement system. The controller is a device with the functions of detecting signal acquisition, instruction transceiver, and data processing, such as an MCU chip. Then, the controller can send the humidity measurement value to an external display device through an external display device to visually display the data information; the controller can be a terminal device integrating an MCU chip and a display, such as a desktop computer, a laptop computer, a tablet computer, or a mobile phone, etc. After the controller obtains the humidity measurement value, it can directly perform visual display. As Figure 1 shown, the method includes steps S110 to S150.

[0015] S110. Construct a water vapor measurement model corresponding to the non-dispersive infrared module.

[0016] A water vapor measurement model corresponding to the non-dispersive infrared module can be constructed. 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. By performing digital-to-analog conversion on the voltage signal output by the reference channel sensing component, it is used as the collected reference sensing voltage, and by performing digital-to-analog conversion on the voltage signal output by the measurement channel sensing component, it is used as the collected measurement sensing voltage.

[0017] By obtaining the correspondence relationship between the humidity value, the reference sensing voltage, and the measurement sensing voltage, a water vapor measurement model is constructed. Among them, the water vapor measurement model is constructed corresponding to the non-dispersive infrared module as Figure 3 shown.

[0018] In a specific embodiment, step S110 includes sub-steps: obtaining the measurement result of the non-dispersive infrared module for measuring continuously changing water vapor concentration; setting parameters of a preset initial model according to the measurement result to obtain a corresponding water vapor measurement model.

[0019] First, the measurement result of the non-dispersive infrared module for measuring continuously changing water vapor concentration can be obtained. The measurement result includes the reference sensing voltage and the measurement sensing voltage corresponding to each water vapor concentration. By setting parameters of the initial model according to the measurement result, a corresponding water vapor measurement model can be constructed.

[0020] Specifically, according to the Beer-Lambert law, when a beam of light passes through water vapor, a part 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 represented by formula (1): (1); Among them, 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. It can be seen from this law that the voltage signal output by the sensing component (reference channel sensing component or measurement channel sensing component) has an exponential relationship with the concentration of the medium (water vapor). The higher the concentration, the smaller the voltage value of the voltage signal. Therefore, by measuring the magnitude of the output voltage signal, the concentration of the medium (water vapor) can be deduced.

[0021] For water vapor detection, its absorption spectrum is as Figure 4 shown, and there are main absorption peaks in the range of 2.5 μm to 2.9 μm in the near-infrared band. 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 Figure 3 shown. After the light emitted by the infrared light source is absorbed by water vapor, it reaches the two sensing components of the non-dispersive infrared module respectively; among them, the measurement channel sensing component selects a filter with a central wavelength of 2.7 μm, which matches the absorption spectrum of water vapor molecules; the reference channel sensing component uses a filter with a central wavelength of 3.95 μm to effectively avoid the water vapor absorption peak. During the humidity measurement process, the light intensity received by the reference channel sensing component is mainly used to compensate for the influence of non-absorption factors such as light source intensity change and optical path loss on the measurement result. By comparing the two groups of induced voltages detected by the dual channels, the volume concentration c of water vapor can be accurately analyzed.

[0022] For the reference channel sensing component, its output reference induced voltage U ref ∝I ref , I ref is the light intensity received by the reference channel sensing component; for the measurement channel sensing component, its output measurement induced voltage U mea ∝I mea , I mea is the light intensity received by the measurement channel sensing component. Combining the above formula (1), the relationship formula for the reference channel can be obtained as shown in formula (2), and the relationship formula for the measurement channel is as shown in formula (3): (2); (3); Among them, U ref is the reference induced voltage, U mea is the measurement induced voltage, K ref and K mae respectively represent the transmission efficiencies of the reference channel and the measurement channel, α ref represents the absorption coefficient of the reference channel, and this value is zero here, α meaIt 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.

[0023] By simplifying the above formulas (2) and (3), formula (4) can be obtained: (4); By further transforming formula (4), formula (5) can be obtained: (5); It can be seen from formula (5) that the volume concentration c of the gas is not affected by the strength of the light source power. Then, when the parameter values in formula (5) are not determined, it can be used as the initial model, where L is a fixed value, and c, U ref and U mea are all variables, and α mea , K ref and K mae are unknown parameters. Then, the specific values of the unknown parameters in the above formula can be obtained through analysis and fitting of the reference induction voltage and the measured induction voltage corresponding to each water vapor concentration. After setting the numerical values of the parameters in the initial model, the water vapor measurement model can be obtained.

[0024] S120. Calibrate the output voltage collected by the thermal imager based on the temperature change to obtain the corresponding temperature field matrix.

[0025] Furthermore, the output voltage obtained by the thermal imager for temperature detection can be obtained based on the temperature change. Then, each temperature value corresponds to a set of output voltage values of the thermal imager. Based on the corresponding relationship between the true temperature value and the output voltage value of the thermal imager, the output voltage is calibrated to construct the corresponding temperature field matrix.

[0026] In a specific embodiment, step S120 includes sub-steps: calibrating the output voltage according to the true temperature value to obtain temperature calibration information; performing spatial grid sampling on the output voltage according to the temperature calibration information to construct a discrete temperature field matrix.

[0027] Specifically, the output voltage can be calibrated according to the true temperature value, that is, a one-to-one correspondence between the output voltage and the true temperature value is established. Specifically, a high-precision blackbody radiation source can be used to perform multi-point temperature calibration on the infrared thermal imager; thus, temperature calibration information is obtained. The acquisition of this temperature calibration information is also to establish a conversion model between the output voltage of the thermal imager and the true temperature, so as to ensure that the temperature measurement error within the test range is controlled within ±0.5°C.

[0028] Based on the temperature calibration information obtained from calibration, the output voltage of the thermal imager is re-sampled spatially in a grid pattern. By performing a spatially gridded sampling of the output voltage according to the temperature calibration information, a discrete temperature field matrix T(x, y) (unit: °C) can be constructed to accurately represent the temperature distribution. Then, after determining the corresponding coordinates (x1, y1) of a point in space on the grid and the voltage value of that grid, the temperature value corresponding to the grid coordinates (x1, y1) can be analytically obtained from the temperature field matrix, denoted as T(x1, y1) (unit: °C).

[0029] 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.

[0030] The obtained detection signal and air pressure signal can be measured according to the above water vapor measurement model to determine the current actual water vapor partial pressure. Among them, 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.

[0031] Specifically, the detection signal includes a reference induction voltage and a corresponding measurement induction voltage. Substituting the two voltage values in the detection signal into the water vapor measurement model corresponding to formula (5), the volume concentration c of water vapor can be analytically obtained. Further determine the current actual water vapor partial pressure e = c × p, that is, multiply the volume concentration c of water vapor by the air pressure value p in the air pressure signal, so as to measure the current actual water vapor partial pressure e. The real-time air pressure p under the current environment is measured by the air pressure sensor, so as to correct the volume concentration c of water vapor and improve the accuracy of humidity measurement.

[0032] S140. Analyze the temperature signal according to the temperature field matrix to obtain the corresponding current temperature information.

[0033] Furthermore, the temperature signal obtained can be analyzed by the temperature field matrix constructed through the above steps. Among them, the temperature signal is the voltage signal obtained by the thermal imager detecting the temperatures of multiple grids in the regional space. The current temperature information obtained by the analysis includes the temperature values of each grid. The temperature field matrix can analyze the voltage signal of each grid separately to obtain a corresponding temperature value. Then, by analyzing the voltage signals of each grid through the temperature field matrix respectively, the current temperature information can be obtained. 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.

[0034] 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.

[0035] Calculate the current actual water vapor partial pressure and the current temperature information according to the humidity calculation rule to obtain a humidity measurement value. The humidity measurement value includes the humidity value corresponding to each grid, so the humidity measurement value can reflect the humidity spatial distribution in the space.

[0036] 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 a 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 a corresponding relative humidity value.

[0037] Specifically, the humidity measurement value can include an absolute humidity value or a relative humidity value, and the humidity measurement value can also include both an absolute humidity value and a relative humidity value at the same time. The absolute humidity value can be obtained by 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. The absolute humidity value includes the absolute humidity values of each grid. The relative humidity value can be obtained by 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. The relative humidity value includes the relative humidity values of each grid.

[0038] In a specific embodiment, 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 a corresponding absolute humidity value includes: combining the current actual water vapor partial pressure with the temperature values of each grid in the current temperature information to obtain corresponding combined information; sequentially inputting the combined information into the absolute humidity calculation formula to calculate the absolute humidity value corresponding to each combined information.

[0039] Specifically, the current actual water vapor partial pressure can be combined with the temperature values of each grid in the current temperature information respectively. Then a set of combined information includes the current actual water vapor partial pressure and the temperature value of one grid. The obtained combined information is sequentially input into the absolute humidity calculation formula, and the absolute humidity calculation formula is shown in formula (6): (6); AH(x,y) is the absolute humidity value of the grid coordinates (x,y), M ω is the molar mass of water vapor, R is the universal gas constant, M ωBoth and R are fixed values, e is the current actual water vapor partial pressure, and T(x, y) is the temperature value at the grid coordinates (x, y).

[0040] In a specific embodiment, 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 includes: calculating the temperature values of each grid in the current temperature information respectively through the saturated water vapor pressure calculation formula in the relative humidity calculation formula to obtain the saturated water vapor pressure values of each grid; analyzing the current actual water vapor partial pressure and the saturated water vapor pressure values of each grid through the analytical calculation formula in the relative humidity calculation formula to obtain the relative humidity values corresponding to each grid.

[0041] Further calculate the temperature values of each grid in the current temperature information respectively according to the saturated water vapor pressure calculation formula in the humidity calculation formula, so as to obtain the saturated water vapor pressure values of each grid. The saturated water vapor pressure calculation formula is shown in formula (7): (7); e s (T) is the saturated water vapor pressure value of the grid, and T(x, y) is the temperature value at the grid coordinates (x, y).

[0042] Further analyze the saturated water vapor pressure value and the current actual water vapor partial pressure obtained in the above steps through the analytical calculation formula in the relative humidity calculation formula, so as to obtain the relative humidity value of each grid. The analytical calculation formula is shown in formula (8): (8); RH(x, y) is the relative humidity value at the grid coordinates (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.

[0043] In a specific embodiment, after step S150, the method further includes the steps of: normalizing the humidity measurement value to map and obtain the normalized value corresponding to each humidity value in the humidity measurement value; mapping each normalized value respectively according to the color mapping model to obtain the color value corresponding to each normalized value; performing pixel filling on the color values of each humidity value according to the grid position corresponding to each humidity value in the humidity measurement value to generate a humidity spatial distribution image.

[0044] Further, the humidity measurement values can be normalized to obtain the normalized values of each humidity value, and the numerical range of the normalized values is [0, 1]. According to the color mapping model (such as the rainbow color scale mapping function), the normalized values are mapped to the corresponding color values. For example, the normalized value is correspondingly mapped to an RGB color value. Since the absolute humidity value includes the humidity values of each grid, the color values of each humidity value can be pixel-filled according to the grid positions of the humidity values in the absolute humidity value, so as to obtain a humidity image matrix corresponding to the absolute humidity value. The humidity image matrix can also visually present the spatial distribution of humidity in the form of a pseudo-color map. Similarly, according to the grid positions of the humidity values in the relative humidity value, the color values of each humidity value are pixel-filled, and a humidity image matrix corresponding to the relative humidity value can be obtained. Taking the obtained humidity image matrix as the corresponding humidity spatial distribution image, the humidity spatial distribution image includes one or two humidity image matrices. The humidity spatial distribution image can be sent to an external display device for display, or directly displayed on a display configured in the controller.

[0045] In the humidity field measurement method disclosed in the above embodiments, 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 the temperature change and temperature calibration information to obtain the 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; analyzing 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 the preset humidity calculation rule to obtain the corresponding humidity measurement value. By processing the signals collected by each module, the above method can detect the humidity measurement value including the regional humidity field distribution, improving the adaptability and reliability of humidity measurement; in the case of large regional space temperature changes, it can obtain accurate humidity measurement data reflecting the humidity spatial distribution in the space.

[0046] An embodiment of the present invention also provides a humidity field measurement system, and any embodiment of the foregoing humidity field measurement method is applied in the controller of the humidity field measurement system. Specifically, please refer to Figure 2 and Figure 3 .

[0047] Such as Figure 2 and Figure 3As shown in the figure, 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 a barometric 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 barometric pressure sensor is electrically connected to yet another signal transmission end of the controller. A reference channel induction component and a measurement channel induction component are configured in the non-dispersive infrared module. The reference channel induction component and the measurement channel induction component respectively output induction signals and combine them into the detection signal collected by the non-dispersive infrared module.

[0048] Among them, the non-dispersive infrared module is as Figure 3 shown. The non-dispersive infrared module consists of a gas chamber, an infrared light source, a reference channel induction component, and a measurement channel induction component. The infrared light source and the induction component are respectively arranged on both sides of the gas chamber. When water vapor enters the gas chamber, the reference channel induction component can sense the light beam emitted by the infrared light source and passing through the water vapor, and the measurement channel induction component can also sense the light beam emitted by the infrared light source and passing through the water vapor. The thermal imager can adopt a thermopile array, and the thermopile array includes N×M grids, and each grid can measure the temperature independently.

[0049] In a more specific embodiment, as Figure 2 shown, the first signal sampling circuit includes a first preamplification circuit and a first signal conversion circuit. The input end of the first preamplification circuit is connected to the non-dispersive infrared module, and the output end is connected to the input end of the first signal conversion circuit. The output end of the first signal conversion circuit is connected to the controller. Among them, the second signal sampling circuit includes a second preamplification circuit and a second signal conversion circuit. The input end of the second preamplification circuit is connected to the thermal imager, and the output end is connected to the input end of the second signal conversion circuit. The output end of the second signal conversion circuit is connected to the controller.

[0050] The first preamplification 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 functions of the second preamplification circuit and the second signal conversion circuit are similar.

[0051] The above humidity field measurement system applies the above humidity field measurement method and has the following application effects: (1) It improves the adaptability and reliability of humidity measurement, especially in the case of large temperature changes, providing more accurate humidity data and temperature data; (2) It realizes full-field high-resolution humidity mapping, generates a visualized humidity field distribution, and supports rapid decision-making and precise control; (3) It can 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 application scenarios such as agricultural greenhouse environment monitoring and precise control, industrial drying workshop humidity control, building HVAC (Heating, Ventilation, and Air Conditioning) system optimization, warehouse environment monitoring, semiconductor production workshop environment control, meteorological observation and research, food processing and storage environment monitoring, cultural relic protection environment monitoring, etc.

[0052] In the controller of the humidity field measurement system provided by the embodiment of the present invention, the above humidity field measurement method is applied to construct a water vapor measurement model corresponding to the non-dispersive infrared module; based on the temperature change and temperature calibration information, the output voltage collected by the thermal imager is calibrated to obtain the corresponding temperature field matrix; according to the water vapor measurement model, the detection signal and the air pressure signal are measured to obtain the corresponding current actual water vapor partial pressure; according to the temperature field matrix, the temperature signal is analyzed to obtain the corresponding current temperature information; according to the preset humidity calculation rule, the current actual water vapor partial pressure and the current temperature information are calculated to obtain the corresponding humidity measurement value. The above method processes the signals collected by each module to detect the humidity measurement value including the regional humidity field distribution, improving the adaptability and reliability of humidity measurement; in the case of large regional space temperature changes, it can obtain humidity measurement data that accurately reflects the humidity spatial distribution in the space.

[0053] The above humidity field measurement method can be implemented in the form of a computer program, and this computer program can run on a computer device as shown in Figure 5 Then the controller can be implemented as a computer device as shown in Figure 5 shown.

[0054] Please refer to Figure 5 , Figure 5 which is a schematic block diagram of the computer device provided by the embodiment of the present invention. This computer device can be a controller for executing the humidity field measurement method to measure the humidity field of a regional space.

[0055] Refer to Figure 5 , this computer device 500 includes a processor 502, a memory, and a network interface 505 connected through a communication bus 501. Among them, the memory can include a storage medium 503 and an internal memory 504.

[0056] The storage medium 503 can store an operating system 5031 and a computer program 5032. When the computer program 5032 is executed, it can cause the processor 502 to execute a humidity field measurement method. The storage medium 503 can be a volatile storage medium or a non-volatile storage medium.

[0057] The processor 502 is used to provide computing and control capabilities to support the operation of the entire computer device 500.

[0058] 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, it can cause the processor 502 to execute a humidity field measurement method.

[0059] The network interface 505 is used for network communication, such as providing the transmission of data information, etc. Those skilled in the art can understand that Figure 5 the structure shown in is only a block diagram of some structures 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 those shown in the figure, or combine some components, or have a different component layout.

[0060] Among them, the processor 502 is used to run the computer program 5032 stored in the memory to implement the corresponding functions in the above-mentioned humidity field measurement method.

[0061] Those skilled in the art can understand that Figure 5 the embodiments of the computer device shown in do 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 those shown in the figure, or combine some components, or have a different component layout. For example, in some embodiments, the computer device may only include a memory and a processor. In such an embodiment, the structures and functions of the memory and the processor are the same as those in Figure 5 the shown embodiment and will not be elaborated here.

[0062] It should be understood that in the embodiments 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 (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0063] In another embodiment of the present invention, a computer-readable storage medium is provided. The computer-readable storage medium may be a volatile or non-volatile computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps included in the above humidity field measurement method are implemented.

[0064] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the above-described devices, apparatuses, and units can refer to the corresponding processes in the foregoing method embodiments and will not be described herein again. Those of ordinary skill in the art can realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. To clearly illustrate the interchangeability of hardware and software, the components and steps of the examples have been generally described according to their functions in the above description. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0065] In 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 illustrative. For example, the division of the units is only a logical function division, and there may be other division methods in actual implementation. Units with the same function can also be integrated into a single unit. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the shown or discussed couplings or direct couplings or communication connections to each other can be indirect couplings or communication connections through some interfaces, devices, or units, and can also be in electrical, mechanical, or other forms of connection.

[0066] The unit described as a separation component may or may not be physically separated. The component shown as a unit may or may not be a physical unit, that is, it may be located in one place or may be distributed over multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiments of the present invention.

[0067] In addition, each functional unit in various embodiments of the present invention may be integrated in a processing unit, may exist separately as individual physical units, or two or more units may be integrated in one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of a software functional unit.

[0068] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part 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 may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned computer-readable storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROMs), magnetic disks, or optical discs that can store program codes.

[0069] As described above, it is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of various equivalent modifications or substitutions, and these modifications or substitutions should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A humidity field measurement method, characterized in that, The method is applied to the controller of a humidity field measurement system, and the humidity field measurement system further includes a non-dispersive infrared module, an infrared thermal imager, and a barometric pressure sensor that are communicatively connected to the controller. The method includes: Construct a water vapor measurement model corresponding to the non-dispersive infrared module; Calibrate the output voltage collected by the infrared thermal imager based on temperature changes to obtain a corresponding temperature field matrix; Measure the detection signal and the barometric 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 barometric pressure signal is the signal collected by the barometric pressure sensor; Analyze the temperature signal according to the temperature field matrix to obtain the corresponding current temperature information; the temperature signal is the voltage signal obtained by the infrared thermal imager detecting the temperatures of multiple grids in the regional space; Calculate 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.

2. The humidity field measurement method according to claim 1, characterized in that The constructing a water vapor measurement model corresponding to the non-dispersive infrared module includes: Obtain the measurement results of the non-dispersive infrared module measuring continuously changing water vapor concentrations; Set the parameters of a preset initial model 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 calibrating the output voltage collected by the infrared thermal imager based on temperature changes to obtain a corresponding temperature field matrix includes: Calibrate the output voltage according to the true temperature value to obtain temperature calibration information; Perform spatial grid sampling on the output voltage 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 humidity measurement value includes an absolute humidity value and / or a relative humidity value. The 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 includes: Calculate 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; Calculate 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.

5. The humidity field measurement method according to claim 4, characterized in that, The 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 includes: Respectively combine the current actual water vapor partial pressure with the temperature values of each grid in the current temperature information to obtain corresponding combined information; Input the combined information into the absolute humidity calculation formula in sequence to calculate the absolute humidity values corresponding to each combined information.

6. The humidity field measurement method according to claim 4, wherein The 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 includes: Calculate the saturation water vapor pressure values of each grid by using the saturation water vapor pressure calculation formula in the relative humidity calculation formula for the temperature values of each grid in the current temperature information; Analyze the current actual water vapor partial pressure and the saturated water vapor pressure values of each grid through the analytical calculation formula in the relative humidity calculation formula to obtain the relative humidity value corresponding to each grid.

7. The humidity field measurement method according to claim 5 or 6, 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, it further includes: Perform normalization processing on the humidity measurement value to map and obtain the normalization value corresponding to each humidity value in the humidity measurement value; Respectively map each normalization value according to the color mapping model to obtain the color value corresponding to each normalization value; Perform pixel filling on the color values of each humidity value according to the grid position corresponding to each humidity value in the humidity measurement value to generate a humidity spatial distribution image.

8. 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 1-7. 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 a barometric 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 barometric pressure sensor is electrically connected to another signal transmission end of the controller; A reference channel induction component and a measurement channel induction component are configured in the non-dispersive infrared module; the reference channel induction component and the measurement channel induction component respectively output induction signals and combine them into the detection signal collected by the non-dispersive infrared module.

9. The humidity field measurement system according to claim 8, characterized in that, The first signal sampling circuit includes a first preamplification circuit and a first signal conversion circuit; The input end of the first preamplification circuit is connected to the non-dispersive infrared module, and the output end is connected to the input end of the first signal conversion circuit. The output end of the first signal conversion circuit is connected to the controller.

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

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