Indoor carbon dioxide concentration detection method and system

Abstract

The present invention provides a method and system for detecting indoor carbon dioxide solubility, which belongs to the field of indoor air conditioning technology, and includes: identifying and obtaining indoor carbon dioxide release rate; based on the indoor carbon dioxide release rate and indoor ventilation volume, combined with the indoor carbon dioxide equilibrium diffusion model, calculating the indoor carbon dioxide solubility, the indoor ventilation volume is divided into indoor mechanical ventilation volume and indoor natural ventilation volume; wherein, the identified carbon dioxide release rate is used as a known quantity to identify and calculate the indoor natural ventilation volume. The present invention fully considers the breathing volume and frequency of indoor personnel, can repeatedly and accurately obtain indoor carbon dioxide release rate and ventilation volume parameters under natural ventilation conditions, and based on the established carbon dioxide diffusion model, simulates the change law of indoor carbon dioxide solubility, reduces the consumption of manpower and material resources, improves efficiency, and ensures the accuracy of indoor carbon dioxide solubility detection.

Description

Technical Field

[0001] The invention relates to the technical field of indoor air conditioning, and in particular to a method and system for detecting indoor carbon dioxide solubility. Background Art

[0002] Indoor carbon dioxide solubility has an important impact on human health, mental state, and work efficiency. At the same time, carbon dioxide solubility is often used as an evaluation indicator of indoor air quality. Therefore, studying the changing law of indoor carbon dioxide solubility can be used to evaluate indoor air quality, analyze the main factors affecting indoor air quality, and control them, which is of great significance to improving the air quality of the living environment and improving human health and comfort.

[0003] At present, the use of actual measurement methods to study the changing laws of indoor carbon dioxide solubility often requires a lot of manpower, material resources and financial resources. In particular, when some working conditions require long-term carbon dioxide solubility testing, not only does it increase a lot of investment, but it may even be impossible to use personnel to conduct experiments.

[0004] Therefore, a carbon dioxide diffusion model can be established to simulate the changing pattern of indoor carbon dioxide solubility. In the carbon dioxide diffusion model, the indoor carbon dioxide release rate M and ventilation volume (called Gn) under natural ventilation conditions cannot be measured with ordinary measuring instruments. Parameter M is related to the breathing volume and frequency of indoor personnel, and it is not easy to measure it with instruments for a long time to avoid affecting the state of the subjects. Parameter Gn is affected by many complex factors, such as air tightness, wind pressure and thermal pressure. It can be measured by fan pressurization method or tracer gas dilution method, but these two methods have poor repeatability and require multiple measurements to evaluate the average air permeability of the building, which requires a lot of manpower, time and equipment. Summary of the invention

[0005] The object of the present invention is to provide a method and system for detecting indoor carbon dioxide solubility with accurate measurement, high efficiency, time saving and labor saving, so as to solve at least one technical problem existing in the above-mentioned background technology.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] The present invention provides a method for detecting indoor carbon dioxide solubility, comprising:

[0008] Identify and obtain the indoor carbon dioxide release rate;

[0009] Based on the indoor carbon dioxide release rate and the indoor ventilation volume, combined with the indoor carbon dioxide equilibrium diffusion model, the indoor carbon dioxide solubility is calculated. The indoor ventilation volume is divided into indoor mechanical ventilation volume and indoor natural ventilation volume. Among them, the identified carbon dioxide release rate is used as a known quantity to identify and calculate the indoor natural ventilation volume.

[0010] Preferably, the indoor carbon dioxide release rate and the indoor natural ventilation volume are obtained through a parameter identification method.

[0011] Preferably, an error function between the test data and the simulation data is established, and the indoor carbon dioxide release rate and the indoor natural ventilation volume are determined by minimizing the error function.

[0012] Preferably, an error function is established by combining the indoor carbon dioxide solubility test value and the simulation value in parameter identification; the indoor carbon dioxide release rate is determined by taking the carbon dioxide release rate between the minimum carbon dioxide release amount and the maximum carbon dioxide release amount of indoor personnel as a constraint condition.

[0013] Preferably, the indoor natural ventilation volume is determined in combination with determining the indoor carbon dioxide release rate, with the indoor ventilation volume being between the indoor minimum ventilation volume and the indoor maximum ventilation volume as a constraint condition.

[0014] Preferably, in a room with a certain volume, at any time interval, the amount of carbon dioxide obtained indoors is equal to the amount of carbon dioxide increased or decreased in the entire room, and an indoor carbon dioxide equilibrium diffusion model is established.

[0015] In a second aspect, the present invention provides an indoor carbon dioxide solubility detection system, comprising:

[0016] An acquisition module is used to identify and acquire the indoor carbon dioxide release rate;

[0017] A calculation module is used to calculate the indoor carbon dioxide solubility based on the indoor carbon dioxide release rate and the indoor ventilation volume in combination with the indoor carbon dioxide equilibrium diffusion model. The indoor ventilation volume is divided into indoor mechanical ventilation volume and indoor natural ventilation volume; wherein the identified carbon dioxide release rate is used as a known quantity to identify and calculate the indoor natural ventilation volume.

[0018] In a third aspect, the present invention provides a non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium is used to store computer instructions, and when the computer instructions are executed by a processor, the indoor carbon dioxide solubility detection method as described above is implemented.

[0019] In a fourth aspect, the present invention provides a computer program product, including a computer program, wherein the computer program, when executed on one or more processors, is used to implement the indoor carbon dioxide concentration detection method as described above.

[0020] In a fifth aspect, the present invention provides an electronic device, comprising: a processor, a memory and a computer program; wherein the processor is connected to the memory, the computer program is stored in the memory, and when the electronic device is running, the processor executes the computer program stored in the memory so that the electronic device executes instructions for implementing the indoor carbon dioxide solubility detection method as described above.

[0021] The beneficial effects of the present invention are as follows: the breathing volume and frequency of indoor personnel are fully considered, the indoor carbon dioxide release rate and ventilation volume parameters under natural ventilation conditions can be repeatedly and accurately obtained, and based on the established carbon dioxide diffusion model, the changing law of indoor carbon dioxide solubility is simulated, which reduces the consumption of manpower and material resources, improves efficiency, and ensures the accuracy of indoor carbon dioxide solubility detection.

[0022] Additional advantages of the present invention will be more clearly presented in the following description or learned through the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0024] Figure 1 This is a schematic diagram of the installation structure of the experimental cabin described in Example 2 of the present invention.

[0025] Figure 2 This is a schematic diagram of the arrangement of personnel and instruments in the experimental cabin described in Example 2 of the present invention.

[0026] Figure 3 This is a schematic diagram of the test flow for detecting carbon dioxide solubility in an experimental chamber as described in Example 2 of the present invention.

[0027] Figure 4 Schematic diagram of the CO2 concentration test curve under different experimental conditions described in the embodiments of the present invention.

[0028] Figure 5 This is a graph of CO2 test data and simulation data under another natural ventilation rate described in Example 2 of the present invention.

[0029] Figure 6 This is a graph of CO2 test data and simulation data under high-end ventilation volume described in Example 2 of the present invention.

[0030] Figure 7This is a schematic diagram of the CO2 concentration change curve in the cabin under natural conditions as described in Example 2 of the present invention. DETAILED DESCRIPTION

[0031] The embodiments of the present invention are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements with the same or similar functions. The embodiments described below by the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be interpreted as limiting the present invention.

[0032] It should be understood by those skilled in the art that unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by those skilled in the art to which this invention belongs.

[0033] It should also be understood that terms, such as those defined in commonly used dictionaries, should be understood to have a meaning consistent with that in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless as defined herein.

[0034] Those skilled in the art will appreciate that, unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the term "comprising" used in the specification of the present invention refers to the presence of the features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements and / or groups thereof.

[0035] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine different embodiments or examples described in this specification and the features of different embodiments or examples, unless they are contradictory.

[0036] To facilitate understanding of the present invention, the present invention is further explained below with reference to specific embodiments in conjunction with the accompanying drawings, and the specific embodiments do not constitute a limitation on the embodiments of the present invention.

[0037] Those skilled in the art should understand that the drawings are merely schematic diagrams of embodiments, and the components in the drawings are not necessarily necessary for implementing the present invention.

[0038] Example 1

[0039] This embodiment 1 provides an indoor carbon dioxide concentration detection system, the system comprising:

[0040] An acquisition module is used to identify and acquire the indoor carbon dioxide release rate;

[0041] A calculation module is used to calculate the indoor carbon dioxide solubility based on the indoor carbon dioxide release rate and the indoor ventilation volume in combination with the indoor carbon dioxide equilibrium diffusion model. The indoor ventilation volume is divided into indoor mechanical ventilation volume and indoor natural ventilation volume; wherein the identified carbon dioxide release rate is used as a known quantity to identify and calculate the indoor natural ventilation volume.

[0042] In this embodiment 1, the above system can be used to implement a method for detecting indoor carbon dioxide concentration, which includes:

[0043] The indoor carbon dioxide release rate is obtained by using an acquisition module; for example, a calculated carbon dioxide release rate is manually input; or parameters for calculating the indoor carbon dioxide release rate are manually input, and the acquisition module obtains the indoor carbon dioxide release rate through parameter calculation.

[0044] The calculation module is used to calculate the indoor carbon dioxide solubility based on the indoor carbon dioxide release rate and the indoor ventilation volume, combined with the indoor carbon dioxide equilibrium diffusion model. The indoor ventilation volume includes the indoor mechanical ventilation volume and the indoor natural ventilation volume. The identified carbon dioxide release rate is used as a known quantity to identify and calculate the indoor natural ventilation volume.

[0045] In the method of this embodiment 1, the indoor carbon dioxide release rate and the indoor natural ventilation volume are obtained by a parameter identification method. Specifically, an error function of test data and simulation data is established, and the indoor carbon dioxide release rate and the indoor natural ventilation volume are determined by minimizing the error function.

[0046] In which, the error function is established by combining the indoor carbon dioxide solubility test value and the simulation value in the parameter identification; the indoor carbon dioxide release rate is determined by taking the carbon dioxide release rate between the minimum and maximum carbon dioxide release of indoor personnel as a constraint condition. In combination with determining the indoor carbon dioxide release rate, the indoor natural ventilation volume is determined by taking the indoor natural ventilation volume between the minimum and maximum ventilation volume as a constraint condition.

[0047] For example, in Example 1, the indoor carbon dioxide release rate M and ventilation volume G are step-by-step analyzed by parameter identification method technology. n Identify and obtain the indoor carbon dioxide release rate and indoor natural ventilation volume:

[0048] The indoor carbon dioxide release rate mainly depends on the breathing of indoor people, so it is assumed that its release rate remains unchanged under mechanical ventilation and natural ventilation conditions. In addition, when mechanical ventilation exists, the indoor mechanical ventilation volume can be measured by a flow meter installed on the pipe. At this time, the influence of indoor natural ventilation volume can be ignored, and the indoor carbon dioxide solubility can be calculated using the mechanical ventilation volume; when only natural ventilation exists, only the influence of indoor natural ventilation volume on carbon dioxide solubility is considered.

[0049] Therefore, in this embodiment 1, the parameter indoor carbon dioxide release rate M is first identified, and then used as the indoor natural ventilation rate G n The known parameters identified for G n To identify.

[0050] Step 1: Identify the indoor carbon dioxide emission rate. Establish the error function of the test data and simulation data, and determine the model parameters, i.e. the parameters to be identified M, by minimizing the error function. The error function of the indoor personnel carbon dioxide emission identification problem can be expressed as shown below:

[0051]

[0052] Its constraints can be expressed as follows:

[0053] M min ≤M≤M max ;

[0054] Where N represents the number of indoor fan operating conditions used to identify the calculation parameter M; C ic,τ Indicates the test value of indoor carbon dioxide solubility under working condition i, in g / m 3 ; C im,τ It indicates the simulated value of indoor carbon dioxide solubility under working condition i, in g / m 3 ;M min Indicates the minimum emission of carbon dioxide by indoor personnel, in L / min; M max Indicates the maximum emission of carbon dioxide by indoor personnel, in L / min.

[0055] Step 2: Identify the indoor natural ventilation volume G under natural conditions n After identifying the carbon dioxide emission of indoor personnel, substitute it into the parameter G n In the identification problem of , it is a known parameter. n The objective function of identification is as follows:

[0056]

[0057] The constraints are as follows:

[0058] G n,min ≤G n ≤G n,max ;

[0059] Among them, K represents the parameter G n The number of indoor fan operating conditions calculated by identification; C jc,τ Indicates the test value of indoor carbon dioxide solubility under working condition j, in g / m 3 ; C jm,τ It indicates the simulated value of indoor carbon dioxide solubility under working condition j, in g / m 3 ; G n,min Indicates the minimum indoor ventilation volume under natural conditions, in m 3 / s; G n,max Indicates the maximum indoor ventilation volume under natural conditions, in m 3 / s.

[0060] In Example 1, in a room with a certain volume, at any time interval, the amount of carbon dioxide obtained in the room is equal to the amount of carbon dioxide increased or decreased in the entire room, and an indoor carbon dioxide equilibrium diffusion model is established.

[0061] Specifically, when establishing a diffusion model, for example, in a room with a volume of V, the CO2 concentration emitted per unit time is M, and the initial CO2 concentration in the room is C1. Assuming that full ventilation is used to dilute the CO2 in the indoor air, according to the law of conservation of mass: at any small time interval d τ The amount of CO2 obtained indoors (i.e. the sum of the CO2 emitted by the pollution source and the CO2 brought in by the supply air, minus the amount of CO2 discharged from the room) should be equal to the amount of CO2 increased or decreased in the entire room. The indoor CO2 balance equation can be established as shown below:

[0062]

[0063] Where V is the volume of the room in m 3 ; C τ It represents the concentration of carbon dioxide in the indoor air at time τ, in g / m 3 ; G represents the indoor comprehensive ventilation volume, the unit is m 3 / s;C s Indicates the concentration of carbon dioxide in the supply air, in g / m 3 ; M represents indoor carbon dioxide emission, unit is g / s; τ represents time.

[0064] Solving the above model, we can get the indoor carbon dioxide concentration C τ , as shown below:

[0065]

[0066] Wherein, C0 represents the indoor carbon dioxide concentration at the initial moment.

[0067] Example 2

[0068] like Figure 3 As shown, in this embodiment 2, an experimental method for detecting indoor carbon dioxide solubility is provided, wherein in this experiment, an experimental cabin with a length, width and height of 4m, 3m and 2.5m respectively is built to simulate the indoor environment, and the change law of CO2 solubility in the indoor space is measured. The schematic diagram of the simulation experimental cabin is shown in Figure 1 shown.

[0069] The experimental cabin in this embodiment 2 is constructed with purification panels, and structural adhesive is used to seal the seams of the cabin. The outer door of the experimental cabin is also sealed with a sealing strip to ensure the airtightness of the experimental cabin when it is closed.

[0070] The experimental chamber has a volume of 30m 3 , which is equipped with an air supply and exhaust system. Under the action of the supply fan, the outdoor fresh air passes through the supply valve, the supply fan and the air supply port in the supply pipe in turn and enters the experimental cabin; under the action of the exhaust fan, the air in the experimental cabin passes through the exhaust port, the exhaust fan and the exhaust valve in the exhaust pipe in turn and is discharged to the outside.

[0071] Experimenters and test equipment:

[0072] The number of people in an indoor space is usually 2, so this experiment selected 2 subjects, 1 male and 1 female, both aged 22. This test uses two IAQ-CALCTM TSI7545 carbon dioxide measuring instruments, and their technical parameters are shown in Table 1.

[0073] Table 1 Technical parameters of carbon dioxide measuring instrument

[0074]

[0075] During the experiment, the field test was arranged as follows: Figure 2 As shown in the figure, the experimenter sat quietly on one side, and two CO2 concentration testers of the same model were placed in the middle of the experimental cabin, with the horizontal height of their CO2 sensors both at 1.5m.

[0076] Experimental test:

[0077] The experimental test conditions in this paper include four types: natural state (fan off), ventilation volume 12m 3 / h (low), ventilation volume 17m 3 / h (medium), ventilation volume 25m 3 / h (high). The experimental test process is as follows Figure 3 shown.

[0078] After each set of experimental conditions begins, the outdoor CO2 concentration is measured first. The measurement results show that the outdoor CO2 concentration is basically around 500ppm. Therefore, the judgment condition for conducting formal working condition tests is "whether the CO2 concentration in the cabin is around 550ppm."

[0079] During the test, the door of the experimental cabin remained closed and the test subjects remained seated. The test duration of each test condition was 1 hour, and the data collection time step was 5 seconds.

[0080] Results and Analysis:

[0081] The indoor CO2 concentration change curves under natural ventilation and low, medium and high ventilation conditions are as follows: Figure 4 shown.

[0082] The first step of identification: Based on the CO2 test data at low and high ventilation rates, the parameter identification method is used to identify that the indoor CO2 emission is 0.49 L / min and the average CO2 exhalation rate per person is about 0.25 L / min. Therefore, the M value of the CO2 diffusion model in this embodiment is 0.49 L / min.

[0083] The second step of identification: The M value is 0.49L / min and substituted into the ventilation volume identification under natural working conditions. The results show that the ventilation volume of the closed test chamber under natural conditions is about 3m 3 / h, the air tightness of the experimental cabin is good.

[0084] Model Validation:

[0085] In order to verify the accuracy of the CO2 diffusion model, this embodiment uses another natural ventilation condition and high-end ventilation conditions to compare and analyze the CO2 test data and simulation data. The results are as follows: Figure 5 , Figure 6 Another natural ventilation condition has different starting values ​​of indoor CO2 concentration and CO2 concentration in the supply air from the previous natural condition.

[0086] according to Figure 5 According to the calculation results, under natural working conditions, the absolute error and relative error between the simulation value and the test value after 1 hour were 32ppm and 2% respectively; the maximum absolute error and relative error were both at 56min, which were 43ppm and 2.8% respectively.

[0087] according to Figure 6The calculation results show that when the initial CO2 concentration is 555ppm, after 1 hour, the CO2 concentration test value is 1185ppm, the simulation value is about 1188ppm, and the relative error between the test value and the simulation value is -0.3%; the maximum absolute error is 24ppm at 52min, and the maximum relative error is 2.2% at 48min. The accuracy of the model can meet the simulation needs.

[0088] After correction by the distribution parameter identification method, the CO2 diffusion model can be used to analyze the long-term indoor CO2 solubility change law. Figure 7 As shown in the figure, the simulated curve of CO2 concentration change under natural conditions is shown. Figure 7 It can be concluded that under natural working conditions, the CO2 concentration in the cabin reaches 1000ppm after about 0.5h, reaches 5000ppm after 6h, and tends to be stable after 40h, with the CO2 solubility reaching 10000ppm. Therefore, under natural ventilation conditions, the CO2 concentration will far exceed 5000ppm, affecting human health and safety.

[0089] Example 3

[0090] Embodiment 3 of the present invention provides a non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium is used to store computer instructions. When the computer instructions are executed by a processor, the indoor carbon dioxide concentration detection method as described above is implemented. The method includes:

[0091] Identify and obtain the indoor carbon dioxide release rate;

[0092] Based on the indoor carbon dioxide release rate and the indoor ventilation volume, combined with the indoor carbon dioxide equilibrium diffusion model, the indoor carbon dioxide solubility is calculated. The indoor ventilation volume is divided into indoor mechanical ventilation volume and indoor natural ventilation volume. Among them, the identified carbon dioxide release rate is used as a known quantity to identify and calculate the indoor natural ventilation volume.

[0093] Example 4

[0094] Embodiment 4 of the present invention provides a computer program (product), including a computer program, wherein when the computer program is executed on one or more processors, the computer program is used to implement the indoor carbon dioxide concentration detection method as described above, the method comprising:

[0095] Identify and obtain the indoor carbon dioxide release rate;

[0096] Based on the indoor carbon dioxide release rate and the indoor ventilation volume, combined with the indoor carbon dioxide equilibrium diffusion model, the indoor carbon dioxide solubility is calculated. The indoor ventilation volume is divided into indoor mechanical ventilation volume and indoor natural ventilation volume. Among them, the identified carbon dioxide release rate is used as a known quantity to identify and calculate the indoor natural ventilation volume.

[0097] Example 5

[0098] Embodiment 5 of the present invention provides an electronic device, including: a processor, a memory, and a computer program; wherein the processor is connected to the memory, the computer program is stored in the memory, and when the electronic device is running, the processor executes the computer program stored in the memory, so that the electronic device executes instructions for implementing the indoor carbon dioxide solubility detection method as described above, the method comprising:

[0099] Identify and obtain the indoor carbon dioxide release rate;

[0100] Based on the indoor carbon dioxide release rate and the indoor ventilation volume, combined with the indoor carbon dioxide equilibrium diffusion model, the indoor carbon dioxide solubility is calculated. The indoor ventilation volume is divided into indoor mechanical ventilation volume and indoor natural ventilation volume. Among them, the identified carbon dioxide release rate is used as a known quantity to identify and calculate the indoor natural ventilation volume.

[0101] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0102] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0103] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0104] These computer program instructions can also be loaded onto a computer or other programmable data processing device, and a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable device provide for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0105] Although the above describes the specific implementation mode of the present invention in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art without creative work on the basis of the technical solution disclosed in the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for detecting indoor carbon dioxide solubility, characterized in that: include: Identify and obtain the indoor carbon dioxide release rate; Based on the indoor carbon dioxide release rate and indoor ventilation volume, combined with the indoor carbon dioxide equilibrium diffusion model, the indoor carbon dioxide solubility is calculated, and the indoor ventilation volume is divided into indoor mechanical ventilation volume and indoor natural ventilation volume; wherein the identified carbon dioxide release rate is used as a known quantity to identify and calculate the indoor natural ventilation volume; The indoor carbon dioxide equilibrium diffusion model is: ； in, Indicates the volume of the room in m 3 ; Indicates at time The concentration of carbon dioxide in the indoor air at 1 sec., in g / m 3 ; Indicates the indoor comprehensive ventilation volume, in m 3 / s; Indicates the concentration of carbon dioxide in the supply air, in g / m 3 ; Indicates indoor carbon dioxide emission in g / s; Indicates time; Solving the above model, we can get the indoor carbon dioxide concentration , as shown below: ； in, Indicates the indoor carbon dioxide concentration at the initial moment.

2. The indoor carbon dioxide solubility detection method according to claim 1, characterized in that: The indoor carbon dioxide release rate and indoor natural ventilation volume are obtained through parameter identification method.

3. The indoor carbon dioxide solubility detection method according to claim 2, characterized in that: The error function of the test data and the simulation data is established, and the indoor carbon dioxide release rate and the indoor natural ventilation volume are determined by minimizing the error function.

4. The indoor carbon dioxide solubility detection method according to claim 3, characterized in that: The error function is established by combining the indoor carbon dioxide solubility test value and the simulation value in parameter identification; the indoor carbon dioxide release rate is determined by taking the carbon dioxide release rate between the minimum carbon dioxide release amount and the maximum carbon dioxide release amount of indoor personnel as a constraint condition.

5. The indoor carbon dioxide solubility detection method according to claim 4, characterized in that: In combination with determining the indoor carbon dioxide release rate, the indoor natural ventilation volume is determined with the indoor natural ventilation volume being between the indoor minimum ventilation volume and the indoor maximum ventilation volume as a constraint condition.

6. The method for detecting indoor carbon dioxide solubility according to any one of claims 1 to 4, characterized in that: In a room with a certain volume, at any time interval, the amount of carbon dioxide obtained indoors is equal to the amount of carbon dioxide increased or decreased in the entire room, and an indoor carbon dioxide equilibrium diffusion model is established.

7. An indoor carbon dioxide solubility detection system, characterized in that: include: An acquisition module is used to identify and acquire the indoor carbon dioxide release rate; A calculation module is used to calculate the indoor carbon dioxide solubility based on the indoor carbon dioxide release rate and the indoor ventilation volume in combination with the indoor carbon dioxide equilibrium diffusion model, wherein the indoor ventilation volume is divided into indoor mechanical ventilation volume and indoor natural ventilation volume; wherein the identified carbon dioxide release rate is used as a known quantity to identify and calculate the indoor natural ventilation volume; The indoor carbon dioxide equilibrium diffusion model is: ； in, Indicates the volume of the room in m 3 ; Indicates at time The concentration of carbon dioxide in the indoor air at 1 sec., in g / m 3 ; Indicates the indoor comprehensive ventilation volume, in m 3 / s; Indicates the concentration of carbon dioxide in the supply air, in g / m 3 ; Indicates indoor carbon dioxide emission in g / s; Indicates time; Solving the above model, we can get the indoor carbon dioxide concentration , as shown below: ； in, Indicates the indoor carbon dioxide concentration at the initial moment.

8. A non-transitory computer-readable storage medium, characterized in that: The non-transitory computer-readable storage medium is used to store computer instructions. When the computer instructions are executed by a processor, the indoor carbon dioxide solubility detection method according to any one of claims 1 to 6 is implemented.

9. A computer program product, characterized in that The invention comprises a computer program, which, when running on one or more processors, is used to implement the indoor carbon dioxide solubility detection method according to any one of claims 1 to 6.

10. An electronic device, characterized in that: include: A processor, a memory and a computer program; wherein the processor is connected to the memory, the computer program is stored in the memory, and when the electronic device is running, the processor executes the computer program stored in the memory so that the electronic device executes instructions for implementing the indoor carbon dioxide solubility detection method as described in any one of claims 1-6.

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