Indoor temperature and humidity digital detection method and system

CN122961479APending Publication Date: 2026-10-23JIANGSU CHUANGSHITUO ELECTRONIC EQUIPMENT CO LTD
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Patent Information

Application Number
CN202510071974.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-16
Publication Date
2026-10-23

AI Technical Summary

Technical Problem

[0004]上述技术方案虽然能够检测室内空气质量并改善室内空气质量,但是在具体检测时仍存在其他问题,如难以通过室内外的温度数据以及各项因素的影响而实现对温湿度的准确测量,不利于对室内温湿度的调节

Benefits of technology

本发明所述的一种室内温湿度数字化检测方法和系统,通过将室内和室外的温度的影响,以及空气流通区域和空气不流通区域的各项影响因子进行比对排除,以及递进式对温度进行检测分析,提高了空气温度的检测精度,同时通过改善的空气温度来对空气湿度进行分析,提高了对空气湿度的调控。

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Abstract

The application belongs to the technical field of temperature and humidity detection, and discloses an indoor temperature and humidity digital detection method and system, which comprises a temperature and humidity data acquisition module, a temperature and humidity data analysis module and a temperature and humidity adjustment module. The temperature and humidity data acquisition module is used for collecting indoor temperature data, humidity data, outdoor temperature data and humidity data. The temperature and humidity data analysis module is used for analyzing indoor temperature data, humidity data, outdoor temperature data and humidity data. The temperature and humidity data analysis module comprises a temperature and humidity influence factor analysis unit, which is used for analyzing whether there are influence factors in indoor temperature data, humidity data, outdoor temperature data and humidity data. If there are influence factors, the influence factors are excluded through the data analysis module.
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Description

Technical Field

[0001] This invention belongs to the field of temperature and humidity detection technology, specifically a digital detection method and system for indoor temperature and humidity. Background Technology

[0002] As people's living standards improve, their demands for the comfort and health of indoor environments are increasing. Indoor temperature and humidity are important factors affecting human health and comfort, therefore, real-time monitoring and control of indoor temperature and humidity are of great significance.

[0003] Existing technologies have also proposed some solutions for temperature and humidity detection. For example, a Chinese patent application with publication number CN113654204A discloses an artificial intelligence-based indoor air humidity control system, which includes a temperature and humidity detection system, an air quality detection system, a data analysis system, a data storage system, a central control system, and an air purification system. The air purification system is used to purify the air and improve air quality, and the temperature and humidity control system is used to regulate the temperature and humidity of the indoor air. This invention can detect indoor air quality and improve indoor air quality.

[0004] While the above-mentioned technical solutions can detect and improve indoor air quality, there are still other problems in the actual detection process. For example, it is difficult to accurately measure temperature and humidity based on indoor and outdoor temperature data and the influence of various factors, which is not conducive to the regulation of indoor temperature and humidity.

[0005] Therefore, the present invention provides a digital detection method and system for indoor temperature and humidity. Summary of the Invention

[0006] In order to overcome the shortcomings of the prior art, at least one technical problem raised in the background art is solved.

[0007] The technical solution adopted by the present invention to solve its technical problem is: the indoor temperature and humidity digital detection system of the present invention includes a temperature and humidity data acquisition module, a temperature and humidity data analysis module and a temperature and humidity adjustment module; Temperature and humidity data acquisition module: The temperature and humidity data acquisition module is used to collect indoor temperature data and humidity data, as well as outdoor temperature data and humidity data; Temperature and humidity data analysis module: This module analyzes indoor and outdoor temperature and humidity data. It includes a temperature and humidity influencing factor analysis unit, which analyzes whether influencing factors exist in the indoor and outdoor temperature and humidity data. If influencing factors exist, they are eliminated through the data analysis module; otherwise, the analysis results are transmitted to the temperature and humidity control module. Temperature and humidity control module: The temperature and humidity control module adjusts the indoor temperature and humidity based on the analysis results of the data analysis module; Specifically, when it is necessary to detect indoor temperature and humidity, the detection command is transmitted to the temperature and humidity acquisition module. The temperature and humidity acquisition module collects indoor temperature and humidity data as well as outdoor temperature and humidity data, and transmits this data to the temperature and humidity data analysis module. The temperature and humidity data analysis module analyzes the data to identify any influencing factors and removes them to improve the accuracy of temperature and humidity measurements. Finally, the analysis results from the temperature and humidity data analysis module are used to accurately adjust the indoor temperature and humidity.

[0008] The human body generally feels more comfortable at a temperature of 20-25℃ and a relative humidity of 40%-60%.

[0009] Preferably, the temperature and humidity data analysis module analyzes indoor and outdoor temperature and humidity data as follows: Indoor and outdoor temperatures were collected for a period of time, which was then set as a time threshold. Indoor and outdoor temperature data within this time threshold were obtained, representing the initial indoor and outdoor temperature measurements. Based on these data, an indoor temperature assessment index and an indoor-outdoor temperature influence factor deviation coefficient were calculated. These two coefficients were then labeled as follows: and ; And calculate the standard value of indoor temperature. , indoor temperature standard value Compare with the preset indoor temperature threshold: If the standard value of indoor temperature If the indoor temperature is greater than or equal to the preset maximum indoor temperature threshold, the temperature and humidity control module will output a signal to lower the indoor temperature. If the standard value of indoor temperature If the temperature is between the preset minimum indoor temperature threshold and the maximum indoor temperature threshold, no signal will be generated. If the standard value of indoor temperature If the indoor temperature is less than or equal to the preset minimum indoor temperature threshold, the temperature and humidity control module will output a signal to increase the indoor temperature. Specifically, when measuring indoor temperature, both indoor and outdoor temperatures need to be obtained. The difference between indoor and outdoor temperatures is used to determine if an indoor / outdoor temperature influence factor deviation coefficient exists. If the indoor / outdoor temperature difference is too large, it indicates the presence of an indoor / outdoor temperature influence factor deviation coefficient, because outdoor air enters the room, affecting the accuracy of indoor temperature measurement. Therefore, removing the indoor / outdoor temperature influence factor deviation coefficient can improve the accuracy of indoor temperature measurement. If no indoor / outdoor temperature influence factor deviation coefficient exists, then the standard value of indoor temperature is... The formula then becomes , The value is 1.

[0010] Preferably, the indoor temperature standard value The specific calculation method is as follows: ,in and These are preset scaling factor coefficients for the indoor temperature assessment index and the deviation coefficient of the indoor and outdoor temperature influence factors, respectively. The scaling factor coefficients are used to correct for deviations in the calculation of various parameters, thereby making the calculation results more accurate. Equals 1, It can take the value 0.635. It can take the value 0.365.

[0011] Preferably, the indoor temperature assessment index The analysis process is as follows: Based on the size, shape, and partitions of the indoor space, multiple temperature detection points were designed, spaced two meters apart. Temperature and humidity data acquisition modules were used to acquire the temperature at each detection point. A temperature set was established based on the temperatures from each detection point, and the average temperature within the set was calculated. ,in Let n be the temperature at the j-th measuring point, and n be the number of measuring points. Indoor temperature assessment index , This is the indoor temperature correction factor.

[0012] Preferably, based on each temperature detection point, the temperature detection points are divided into heat source area detection points and cold source area detection points, specifically as follows: Obtain the temperature at each detection point, and calculate the temperature and average temperature at each detection point. Compare: Temperature is greater than the average temperature. The detection points are marked as heat source area detection points. Temperature is lower than the average temperature The detection points are marked as cold source area detection points; And the detection points in the heat source area were obtained respectively. and cold source area testing point The number of [items], and based on the detection points in the heat source area. and cold source area testing point Calculation of the number of temperature correction factors ; ,in The number of monitoring points in the heat source area. The number of detection points in the cold source area. The average temperature at all monitoring points in the heat source area. This represents the average temperature at all monitoring points in the cold source area.

[0013] Preferably, the deviation coefficient of the indoor and outdoor temperature influence factors The specific analysis process is as follows: Based on the interior layout, the room is divided into air-circulating areas and non-air-circulating areas, which are then labeled as follows: and ; Within a time threshold, the temperature of the air-circulated area and the non-air-circulated area is acquired at 1-minute intervals. A temperature curve (time-temperature curve) is then established based on this temperature. Horizontal points on the time-temperature curve in the air-circulated area (temperature values ​​where the curve approaches horizontal) and in the non-air-circulated area (temperature values ​​where the curve approaches horizontal) are identified and marked. The horizontal point of the time-temperature curve in the poorly ventilated area is marked as... Calculate the deviation coefficient of indoor and outdoor temperature influence factors. .

[0014] Preferably, humidity data within a time threshold and standard indoor temperature values ​​are used. Calculate the standard value of indoor humidity. Acquire indoor humidity measurement data and label the measured values ​​as follows. ; And calculate the standard value of indoor humidity using a formula. Indoor humidity standard value Compare with the preset minimum and maximum indoor humidity thresholds: If the indoor humidity standard value If the indoor humidity is greater than or equal to the preset maximum indoor humidity threshold, the temperature and humidity control module will output a signal to lower the indoor humidity. If the indoor humidity standard value If the humidity is between the preset minimum indoor humidity threshold and the maximum indoor humidity threshold, no signal will be generated; If the indoor humidity standard value If the indoor temperature is less than or equal to the preset minimum threshold, the temperature and humidity control module will output a signal to increase the indoor humidity.

[0015] Preferably, the indoor humidity standard value The specific calculation method is as follows: , This is the humidity correction factor. This refers to the hygroscopic properties of wood materials. Specifically, when measuring indoor humidity, it is generally related to indoor temperature. For example, as the temperature rises, the air can hold more water vapor, so the relative humidity decreases; conversely, as the temperature decreases, the relative humidity increases. Relative humidity refers to the percentage of actual water vapor content in the air compared to the maximum water vapor content that air can hold at the same temperature. Therefore, a humidity correction factor is used. With humidity measurement value The standard value of indoor humidity can be obtained through calculation. ; Indoor humidity is also affected by the hygroscopicity of indoor decoration materials, so the hygroscopicity parameter of wood materials also needs to be added. The hygroscopicity parameter of wood materials is calculated through the hygroscopicity table of wood materials.

[0016] Preferably, the humidity correction factor is... The main analysis process is as follows: Based on the initial indoor temperature measurement and the adjusted temperature value (i.e., the temperature value after the temperature and humidity control module outputs the adjusted indoor temperature signal), the saturated vapor pressure of the initial temperature measurement and the adjusted temperature value are calculated respectively. The saturated vapor pressure of the initial temperature measurement is then marked as... The temperature and humidity control module marks the saturated vapor pressure of the temperature value after temperature adjustment as follows: ; ; Saturated vapor pressure refers to the partial pressure of water vapor in the air when it reaches saturation at a given temperature. Saturated vapor pressure can be obtained by looking up the temperature in a table.

[0017] Preferably, a digital method for detecting indoor temperature and humidity includes the following steps: S1. The temperature and humidity data acquisition module is used to collect indoor and outdoor temperature and humidity data. S2. Analyze indoor and outdoor temperature and humidity data through the temperature and humidity data analysis module, and eliminate influencing factors; S3. Adjust the indoor temperature and humidity through the temperature and humidity control module.

[0018] The beneficial effects of this invention are as follows: The present invention discloses a digital indoor temperature and humidity detection method and system. By comparing and eliminating the influence of indoor and outdoor temperatures, as well as various influencing factors in air-circulated and non-air-circulated areas, and progressively analyzing temperature, the accuracy of air temperature detection is improved. At the same time, by analyzing air humidity through improved air temperature, the control of air humidity is enhanced. Attached Figure Description

[0019] The invention will now be further described with reference to the accompanying drawings.

[0020] Figure 1 This is a system flowchart of the present invention; Figure 2 This is a flowchart of the method in this invention. Detailed Implementation

[0021] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below in conjunction with specific embodiments.

[0022] Example 1 like Figure 1 As shown in the figure, an indoor temperature and humidity digital detection system according to an embodiment of the present invention includes a temperature and humidity data acquisition module, a temperature and humidity data analysis module, and a temperature and humidity adjustment module; Temperature and humidity data acquisition module: The temperature and humidity data acquisition module is used to collect indoor temperature and humidity data as well as outdoor temperature and humidity data; Temperature and humidity data analysis module: This module analyzes indoor and outdoor temperature and humidity data. It includes a temperature and humidity influencing factor analysis unit, which analyzes whether influencing factors exist in the indoor and outdoor temperature and humidity data. If influencing factors are present, they are eliminated through the data analysis module; otherwise, the analysis results are transmitted to the temperature and humidity control module. Temperature and humidity control module: The temperature and humidity control module adjusts the indoor temperature and humidity based on the analysis results of the data analysis module; Specifically, when it is necessary to detect indoor temperature and humidity, the detection command is transmitted to the temperature and humidity acquisition module. The temperature and humidity acquisition module collects indoor temperature and humidity data as well as outdoor temperature and humidity data, and transmits this data to the temperature and humidity data analysis module. The temperature and humidity data analysis module analyzes the data to identify any influencing factors and removes them to improve the accuracy of temperature and humidity measurements. Finally, the analysis results from the temperature and humidity data analysis module are used to accurately adjust the indoor temperature and humidity.

[0023] The human body generally feels more comfortable at a temperature of 20-25℃ and a relative humidity of 40%-60%.

[0024] The temperature and humidity data analysis module analyzes indoor and outdoor temperature and humidity data as follows: Indoor and outdoor temperatures were collected for a period of time, which was then set as a time threshold. Indoor and outdoor temperature data within this time threshold were obtained, representing the initial indoor and outdoor temperature measurements. Based on these data, an indoor temperature assessment index and an indoor-outdoor temperature influence factor deviation coefficient were calculated. These two coefficients were then labeled as follows: and ; And calculate the standard value of indoor temperature. , indoor temperature standard value Compare with the preset indoor temperature threshold: If the standard value of indoor temperature If the indoor temperature is greater than or equal to the preset maximum indoor temperature threshold, the temperature and humidity control module will output a signal to lower the indoor temperature. If the standard value of indoor temperature If the temperature is between the preset minimum indoor temperature threshold and the maximum indoor temperature threshold, no signal will be generated. If the standard value of indoor temperature If the indoor temperature is less than or equal to the preset minimum indoor temperature threshold, the temperature and humidity control module will output a signal to increase the indoor temperature. Specifically, when measuring indoor temperature, both indoor and outdoor temperatures need to be obtained. The difference between indoor and outdoor temperatures is used to determine if an indoor / outdoor temperature influence factor deviation coefficient exists. If the indoor / outdoor temperature difference is too large, it indicates the presence of an indoor / outdoor temperature influence factor deviation coefficient, because outdoor air enters the room, affecting the accuracy of indoor temperature measurement. Therefore, removing the indoor / outdoor temperature influence factor deviation coefficient can improve the accuracy of indoor temperature measurement. If no indoor / outdoor temperature influence factor deviation coefficient exists, then the standard value of indoor temperature is... The formula then becomes , The value is 1.

[0025] Indoor temperature standard value The specific calculation method is as follows: ,in and These are preset scaling factor coefficients for the indoor temperature assessment index and the deviation coefficient of the indoor and outdoor temperature influence factors, respectively. The scaling factor coefficients are used to correct for deviations in the calculation of various parameters, thereby making the calculation results more accurate. Equals 1, It can take the value 0.635. It can take the value 0.365; Indoor temperature assessment index The analysis process is as follows: Based on the size, shape, and partitions of the indoor space, multiple temperature detection points were designed, spaced two meters apart. Temperature and humidity data acquisition modules were used to acquire the temperature at each detection point. A temperature set was established based on the temperatures from each detection point, and the average temperature within the set was calculated. ,in Let be the temperature at the j-th measuring point, and n be the number of measuring points; Indoor temperature assessment index , This is the indoor temperature correction factor; Specifically, in this embodiment of the invention, "indoor" mainly refers to the living environment or office space. Since the temperature varies in different living environments or office spaces, multiple detection points need to be designed. That is, temperature sensors are placed in suitable locations based on the size, shape, and partitions of the indoor space. The sum of all temperatures is obtained through the detection of multiple detection points, and the average indoor temperature is calculated based on the sum of all temperatures. An indoor temperature assessment index is then calculated based on the average temperature. ; Based on each temperature detection point, the temperature detection points are divided into heat source area detection points and cold source area detection points, specifically: Obtain the temperature at each detection point, and calculate the temperature and average temperature at each detection point. Compare: Temperature is greater than the average temperature. The detection points are marked as heat source area detection points. Temperature is lower than the average temperature The detection points are marked as cold source area detection points; And the detection points in the heat source area were obtained respectively. and cold source area testing point The number of [items], and based on the detection points in the heat source area. and cold source area testing point Calculation of the number of temperature correction factors ; ,in The number of monitoring points in the heat source area. The number of detection points in the cold source area. The average temperature at all monitoring points in the heat source area. The average temperature at all monitoring points in the cold source area; Specifically, due to the size, shape, and partitions of an indoor space, there will be multiple heat source areas, namely, areas exposed to direct sunlight, and areas where heat is generated by human activity and equipment operation. These can all be designated as heat source areas. In this embodiment of the invention, a heat source area is defined as a temperature higher than the average temperature. The detection point is the corresponding temperature sensor area; the cold source area includes outdoor cold air introduced by the ventilation system, which will lower the temperature in these areas, as well as the temperature of the refrigerator or freezer, which will be lower than the average temperature in this embodiment of the invention. The detection points are marked as cold source area detection points, which are the corresponding temperature sensor areas; By obtaining the sum of temperatures from monitoring points in both the heat source and cold source areas, as well as the number of monitoring points in each area, and then calculating the difference between the sum of temperatures and the number of monitoring points in the heat source area and the sum of temperatures and the number of monitoring points in the cold source area, the temperature correction coefficient is obtained. Where the temperature correction factor The higher the value, the greater the difference in indoor environmental conditions, which may require a temperature and humidity control module to adjust the temperature. If the temperature correction coefficient... The smaller the value, the smaller the indoor temperature difference. Finally, the indoor temperature standard value is used. To conduct further temperature testing.

[0026] Indoor and outdoor temperature influence factor deviation coefficient The specific analysis process is as follows: Based on the interior layout, the room is divided into air-circulating areas and non-air-circulating areas, which are then labeled as follows: and ; Within a time threshold, the temperature of the air-circulated area and the non-air-circulated area is acquired at 1-minute intervals. A temperature curve (time-temperature curve) is then established based on this temperature. Horizontal points on the time-temperature curve in the air-circulated area (temperature values ​​where the curve approaches horizontal) and in the non-air-circulated area (temperature values ​​where the curve approaches horizontal) are identified and marked. The horizontal point of the time-temperature curve in the poorly ventilated area is marked as... Calculate the deviation coefficient of indoor and outdoor temperature influence factors. ; Specifically, if the temperature difference between indoors and outdoors is too large, it will affect the normal detection of indoor temperature in areas with good air circulation and areas with poor air circulation. Therefore, it is necessary to remove the factors that affect temperature detection. If the current indoor and outdoor temperature difference is too large, that is, the temperature value in the air-circulated area is too different from the temperature value in the air-stagnant area, it can be explained through the following specific implementation method: If the temperature in a well-ventilated area is 10℃, and the horizontal point on the time-temperature curve is 15℃; and the temperature in a poorly ventilated area is 18℃, and the horizontal point on the time-temperature curve for that area is 19℃, then the deviation coefficient of the indoor / outdoor temperature influence factor is... .

[0027] Based on humidity data within a time threshold and standard indoor temperature values Calculate the standard value of indoor humidity. Acquire indoor humidity measurement data and label the measured values ​​as follows. ; And calculate the standard value of indoor humidity using a formula. Indoor humidity standard value Compare with the preset minimum and maximum indoor humidity thresholds: If the indoor humidity standard value If the indoor humidity is greater than or equal to the preset maximum indoor humidity threshold, the temperature and humidity control module will output a signal to lower the indoor humidity. If the indoor humidity standard value If the humidity is between the preset minimum indoor humidity threshold and the maximum indoor humidity threshold, no signal will be generated; If the indoor humidity standard value If the indoor temperature is less than or equal to the preset minimum threshold, the temperature and humidity control module will output a signal to increase the indoor humidity. Specifically, when measuring indoor humidity, it is generally related to indoor temperature. For example, as the temperature rises, the air can hold more water vapor, so the relative humidity will decrease; conversely, when the temperature decreases, the relative humidity will increase. Relative humidity refers to the percentage of actual water vapor content in the air compared to the maximum water vapor content that air can hold at the same temperature. Therefore, by combining humidity data with standard indoor temperature values... To calculate the standard value of indoor humidity and through indoor humidity standard values The output signal of the temperature and humidity control module is fed back by comparing the preset minimum and maximum indoor humidity thresholds.

[0028] Example 2 Indoor humidity standard value The specific calculation method is as follows: , This is the humidity correction factor. This refers to the hygroscopic properties of wood materials. Specifically, when measuring indoor humidity, it is generally related to indoor temperature. For example, as the temperature rises, the air can hold more water vapor, so the relative humidity decreases; conversely, as the temperature decreases, the relative humidity increases. Relative humidity refers to the percentage of actual water vapor content in the air compared to the maximum water vapor content that air can hold at the same temperature. Therefore, a humidity correction factor is used. With humidity measurement value The standard value of indoor humidity can be obtained through calculation. ; Indoor humidity is also affected by the hygroscopicity of indoor decoration materials, so the hygroscopicity parameter of wood materials also needs to be added. The hygroscopicity parameter of wood materials is calculated through the hygroscopicity table of wood materials.

[0029] Humidity correction factor The main analysis process is as follows: Based on the initial indoor temperature measurement and the adjusted temperature value (i.e., the temperature value after the temperature and humidity control module outputs the adjusted indoor temperature signal), the saturated vapor pressure of the initial temperature measurement and the adjusted temperature value are calculated respectively. The saturated vapor pressure of the initial temperature measurement is then marked as... The temperature and humidity control module marks the saturated vapor pressure of the temperature value after temperature adjustment as follows: ; ; Saturated vapor pressure refers to the partial pressure of water vapor in the air when it reaches saturation at a given temperature. Saturated vapor pressure can be obtained by looking up the temperature in a table.

[0030] like Figure 2 As shown: A digital method for detecting indoor temperature and humidity includes the following steps: S1. The temperature and humidity data acquisition module is used to collect indoor and outdoor temperature and humidity data. S2. Analyze indoor and outdoor temperature and humidity data through the temperature and humidity data analysis module, and eliminate influencing factors; S3. Adjust the indoor temperature and humidity through the temperature and humidity control module.

[0031] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by those skilled in the art for each set of sample data; as long as it does not affect the ratio between the parameter and the quantized value, it is acceptable.

[0032] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A digital indoor temperature and humidity detection system, characterized in that: It includes a temperature and humidity data acquisition module, a temperature and humidity data analysis module, and a temperature and humidity control module; Temperature and humidity data acquisition module: The temperature and humidity data acquisition module is used to collect indoor temperature data and humidity data, as well as outdoor temperature data and humidity data; Temperature and humidity data analysis module: This module analyzes indoor and outdoor temperature and humidity data. It includes a temperature and humidity influencing factor analysis unit, which analyzes whether influencing factors exist in the indoor and outdoor temperature and humidity data. If influencing factors exist, they are eliminated through the data analysis module; otherwise, the analysis results are transmitted to the temperature and humidity control module. Temperature and humidity control module: The temperature and humidity control module adjusts the indoor temperature and humidity based on the analysis results of the data analysis module.

2. The indoor temperature and humidity digital detection system according to claim 1, characterized in that: The temperature and humidity data analysis module analyzes indoor and outdoor temperature and humidity data as follows: Indoor and outdoor temperatures were collected for a period of time, which was then set as a time threshold. Indoor and outdoor temperature data within this time threshold were obtained, representing the initial indoor and outdoor temperature measurements. Based on these data, an indoor temperature assessment index and an indoor-outdoor temperature influence factor deviation coefficient were calculated. These two coefficients were then labeled as follows: and ; And calculate the standard value of indoor temperature. ; indoor temperature standard value Compare with the preset indoor temperature threshold: If the standard value of indoor temperature If the indoor temperature is greater than or equal to the preset maximum indoor temperature threshold, the temperature and humidity control module will output a signal to lower the indoor temperature. If the standard value of indoor temperature If the temperature is between the preset minimum indoor temperature threshold and the maximum indoor temperature threshold, no signal will be generated; If the standard value of indoor temperature If the indoor temperature is less than or equal to the preset minimum indoor temperature threshold, the temperature and humidity control module will output a signal to increase the indoor temperature.

3. The indoor temperature and humidity digital detection system according to claim 2, characterized in that: The indoor temperature standard value The specific calculation method is as follows: ,in and These are the preset proportional factor coefficients for the indoor temperature assessment index and the deviation coefficient of the indoor and outdoor temperature influence factors, respectively.

4. The indoor temperature and humidity digital detection system according to claim 3, characterized in that: Indoor temperature assessment index The analysis process is as follows: Based on the size, shape, and partitions of the indoor space, multiple temperature detection points were designed, spaced two meters apart. Temperature and humidity data acquisition modules were used to acquire the temperature at each detection point. A temperature set was established based on the temperatures from each detection point, and the average temperature within the set was calculated. ,in Let be the temperature at the j-th measuring point, and n be the number of measuring points; Indoor temperature assessment index , This is the indoor temperature correction factor.

5. The indoor temperature and humidity digital detection system according to claim 4, characterized in that: Based on each temperature detection point, the temperature detection points are divided into heat source area detection points and cold source area detection points, specifically: Obtain the temperature at each detection point, and calculate the temperature and average temperature at each detection point. Compare: Temperature is greater than the average temperature. The detection points are marked as heat source area detection points. Temperature is lower than the average temperature The detection points are marked as cold source area detection points; And the detection points in the heat source area were obtained respectively. and cold source area testing point The number of [items], and based on the detection points in the heat source area. and cold source area testing point Calculation of the number of temperature correction factors ; ,in The number of monitoring points in the heat source area. The number of detection points in the cold source area. The average temperature at all monitoring points in the heat source area. This represents the average temperature at all monitoring points in the cold source area.

6. The indoor temperature and humidity digital detection system according to claim 4, characterized in that: Indoor and outdoor temperature influence factor deviation coefficient The specific analysis process is as follows: Based on the interior layout, the room is divided into air-circulating areas and non-air-circulating areas, which are then labeled as follows: and ; Within a time threshold, the temperature of the air-circulated area and the non-air-circulated area is acquired at 1-minute intervals. A temperature curve (time-temperature curve) is then established based on this temperature. Horizontal points on the time-temperature curve in the air-circulated area (temperature values ​​where the curve approaches horizontal) and in the non-air-circulated area (temperature values ​​where the curve approaches horizontal) are identified and marked. The horizontal point of the time-temperature curve in the poorly ventilated area is marked as... Calculate the deviation coefficient of indoor and outdoor temperature influence factors. .

7. The indoor temperature and humidity digital detection system according to claim 6, characterized in that: Based on humidity data within a time threshold and standard indoor temperature values Calculate the standard value of indoor humidity. ; Acquire indoor humidity measurement data and label the measured values ​​as follows. ; And calculate the standard value of indoor humidity using a formula. Indoor humidity standard value Compare with the preset minimum and maximum indoor humidity thresholds: If the indoor humidity standard value If the indoor humidity is greater than or equal to the preset maximum indoor humidity threshold, the temperature and humidity control module will output a signal to lower the indoor humidity. If the indoor humidity standard value If the humidity is between the preset minimum indoor humidity threshold and the maximum indoor humidity threshold, no signal will be generated; If the indoor humidity standard value If the indoor temperature is less than or equal to the preset minimum threshold, the temperature and humidity control module will output a signal to increase the indoor humidity.

8. The indoor temperature and humidity digital detection system according to claim 7, characterized in that: The indoor humidity standard value The specific calculation method is as follows: , This is the humidity correction factor. This refers to the hygroscopicity parameter of wood materials.

9. The indoor temperature and humidity digital detection system according to claim 8, characterized in that: Humidity correction factor The main analysis process is as follows: Based on the initial indoor temperature measurement and the adjusted temperature value (i.e., the temperature value after the temperature and humidity control module outputs the adjusted indoor temperature signal), the saturated vapor pressure of the initial temperature measurement and the adjusted temperature value are calculated respectively. The saturated vapor pressure of the initial temperature measurement is then marked as... The temperature and humidity control module marks the saturated vapor pressure of the temperature value after temperature adjustment as follows: ; 。 10. A digital indoor temperature and humidity detection method, employing the digital indoor temperature and humidity detection system described in claims 1-9, characterized in that: Includes the following steps: S1. The temperature and humidity data acquisition module is used to collect indoor and outdoor temperature and humidity data. S2. Analyze indoor and outdoor temperature and humidity data through the temperature and humidity data analysis module, and eliminate influencing factors; S3. Adjust the indoor temperature and humidity through the temperature and humidity control module.

Citation Information

Patent Citations

  • Indoor air humidity adjusting system based on artificial intelligence

    CN113654204A