Integrated environment monitoring method based on real-time humidity

Abstract

The invention discloses an integrated environment monitoring method based on real-time humidity, and relates to the technical field of environment monitoring, and the method comprises the following steps: S1, collecting the historical humidity of each sensor installation position in an environment monitoring area; s2, calculating a simulation characteristic value of the environment monitoring area according to the historical humidity of each installation position, and generating a humidity simulation set; s3, predicting the real-time humidity of the environment monitoring area at the next moment according to the humidity simulation set of the environment monitoring area, and completing environment monitoring. By integrating data of a plurality of sensors and monitoring stations, the humidity of an environment monitoring area is comprehensively covered and monitored in real time, and richer and more accurate environment information can be provided.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental monitoring, and in particular to an integrated environmental monitoring method based on real-time humidity. Background Art

[0002] Indoor environmental monitoring refers to the real-time monitoring and evaluation of indoor parameters, such as temperature and humidity, with the goal of ensuring people's comfort, health, and safety in indoor environments. Monitoring indoor environmental parameters can promptly identify and resolve potential problems, while also providing a scientific basis for improving the indoor environment, such as adjusting air conditioning systems and optimizing ventilation equipment. However, traditional environmental monitoring methods often rely on a single sensor or monitoring station, which has limitations such as limited coverage. This is particularly true in large-scale indoor factories, where excessively high humidity can cause equipment corrosion or product deterioration, while low humidity can cause static electricity, impacting production efficiency and product quality. To overcome these limitations, integrated environmental monitoring methods based on real-time humidity have emerged. Summary of the Invention

[0003] In order to solve the above problems, the present invention proposes an integrated environmental monitoring method based on real-time humidity.

[0004] The technical solution of the present invention is: an integrated environmental monitoring method based on real-time humidity comprises the following steps:

[0005] S1, collect the historical humidity of each sensor installation location in the environmental monitoring area;

[0006] S2. Calculate the simulated characteristic values ​​of the environmental monitoring area based on the historical humidity of each installation location and generate a humidity simulation set;

[0007] S3. Based on the humidity simulation set of the environmental monitoring area, the real-time humidity of the environmental monitoring area at the next moment is predicted to complete the environmental monitoring.

[0008] Furthermore, S2 includes the following sub-steps:

[0009] S21. Generate a humidity change curve for each installation location based on the historical humidity of each installation location;

[0010] S22. Calculate a number of relative humidity values ​​based on the humidity change curve of each installation location;

[0011] S23. Generate a humidity simulation set for the environmental monitoring area based on the humidity change curve of each installation location.

[0012] The beneficial effect of the above further scheme is: in the present invention, the humidity change curve can intuitively display the historical humidity changes of each installation location, extract characteristic values, and the humidity simulation set can be used for spatial analysis to determine the humidity differences and spatial distribution characteristics between different locations, more efficiently monitor and analyze the humidity conditions in the environmental monitoring area, and improve the efficiency and accuracy of environmental monitoring.

[0013] Further, in S22, the installation position Relative humidity value at the moment The calculation formula is:

[0014] ;

[0015] Where, Indicates the humidity change curve from the first moment to the The number of extreme points in the moment, Indicates the humidity change curve Time to The number of extreme points in the moment, Indicates the humidity change curve from the first moment to the The moment The historical humidity corresponding to the extreme point is Indicates the humidity change curve Time to The moment The historical humidity corresponding to the extreme point is Indicates the installation location The historical humidity of the moment, Represents a constant.

[0016] Furthermore, S23 includes the following sub-steps:

[0017] S231. Constructing a humidity simulation model for each installation location based on a plurality of relative humidity values ​​corresponding to each installation location;

[0018] S232. Calculate simulation characteristic values ​​according to the humidity simulation models of all installation locations;

[0019] S233: Generate a humidity simulation set according to the humidity change curve and simulation characteristic value of each installation location.

[0020] The beneficial effect of this further solution is that, in this invention, a separate humidity simulation model is constructed for each installation location, fully accounting for the specific environment and conditions at that location. This improves the accuracy and specificity of the simulation, reflecting the actual humidity trends and patterns. The constructed humidity simulation model is used to generate a humidity simulation set, providing strong support for environmental monitoring and early warning.

[0021] Furthermore, in S231, Humidity simulation model for each installation location The expression is:

[0022] ;

[0023] Where, Indicates the The installation location is The relative humidity value at the time, Indicates the The weight of each installation location, Indicates the The installation location is The historical humidity of the moment, Represents the total number of historical moments.

[0024] The weight of a certain location can be determined according to the distance between the locations. For example, the closer the location is to the center point of the environmental monitoring area, the greater the weight, and the farther the location is from the center point of the environmental monitoring area, the smaller the weight.

[0025] Furthermore, in S232, the simulated characteristic value The calculation formula is:

[0026] ;

[0027] Where, represents the row matrix generated by the humidity simulation model for each installation location, represents the matrix transpose, represents the identity matrix, Indicates the Humidity simulation model for each installation location, represents the maximum function, represents the trace of the matrix, Represents the matrix norm operation.

[0028] Furthermore, in S233, the humidity simulation set The expression is:

[0029] ;

[0030] ;

[0031] Where, Indicates the sample value of the first installation position, Indicates the sample value of the second installation position, Indicates the Sample values ​​for each installation location, Indicates the Sample values ​​for each installation location, represents the simulated eigenvalue, Indicates the The maximum value of the humidity variation curve at each installation position, Indicates the Minimum value of the humidity variation curve for each installation position.

[0032] Furthermore, in S3, the real-time humidity of the environmental monitoring area at the next moment The calculation formula is:

[0033] ;

[0034] Where, represents the humidity simulation set, represents the median function, Indicates the The maximum value of the humidity variation curve at each installation position, Indicates the The minimum value of the humidity change curve for each installation position, Indicates the number of sensor installation locations, Represents the maximum function.

[0035] The present invention has the following beneficial effects: by collecting historical humidity data from each sensor installation location in the environmental monitoring area, the present invention generates a humidity change curve for each installation location, and calculates the relative humidity value based on these curves, ultimately generating a humidity simulation set. Through this simulation set, the real-time humidity of the environmental monitoring area at the next moment can be predicted, thereby achieving accurate monitoring and prediction of environmental humidity. The present invention's integrated environmental monitoring method based on real-time humidity achieves comprehensive coverage and real-time monitoring of the humidity in the environmental monitoring area by integrating data from multiple sensors and monitoring sites, and can provide richer and more accurate environmental information. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 Flowchart of an integrated environmental monitoring method based on real-time humidity. DETAILED DESCRIPTION

[0037] The embodiments of the present invention will be further described below with reference to the accompanying drawings.

[0038] like Figure 1 As shown, the present invention provides an integrated environmental monitoring method based on real-time humidity, comprising the following steps:

[0039] S1, collect the historical humidity of each sensor installation location in the environmental monitoring area;

[0040] S2. Calculate the simulated characteristic values ​​of the environmental monitoring area based on the historical humidity of each installation location and generate a humidity simulation set;

[0041] S3. Based on the humidity simulation set of the environmental monitoring area, the real-time humidity of the environmental monitoring area at the next moment is predicted to complete the environmental monitoring.

[0042] In this embodiment of the present invention, S2 includes the following sub-steps:

[0043] S21. Generate a humidity change curve for each installation location based on the historical humidity of each installation location;

[0044] S22. Calculate a number of relative humidity values ​​based on the humidity change curve of each installation location;

[0045] S23. Generate a humidity simulation set for the environmental monitoring area based on the humidity change curve of each installation location.

[0046] In the present invention, the humidity change curve can intuitively display the historical humidity changes of each installation location, extract characteristic values, and the humidity simulation set can be used for spatial analysis to determine the humidity differences and spatial distribution characteristics between different locations, more efficiently monitor and analyze the humidity conditions in the environmental monitoring area, and improve the efficiency and accuracy of environmental monitoring.

[0047] In the embodiment of the present invention, in S22, the installation position Relative humidity value at the moment The calculation formula is:

[0048] ;

[0049] Where, Indicates the humidity change curve from the first moment to the The number of extreme points in the moment, Indicates the humidity change curve Time to The number of extreme points in the moment, Indicates the humidity change curve from the first moment to the The moment The historical humidity corresponding to the extreme point is Indicates the humidity change curve Time to The moment The historical humidity corresponding to the extreme point is Indicates the installation location The historical humidity of the moment, Represents a constant.

[0050] In this embodiment of the present invention, S23 includes the following sub-steps:

[0051] S231. Constructing a humidity simulation model for each installation location based on a plurality of relative humidity values ​​corresponding to each installation location;

[0052] S232. Calculate simulation characteristic values ​​according to the humidity simulation models of all installation locations;

[0053] S233: Generate a humidity simulation set according to the humidity change curve and simulation characteristic value of each installation location.

[0054] In this paper, a separate humidity simulation model is constructed for each installation location. This model fully accounts for the specific environment and conditions of that location, improving the accuracy and specificity of the simulation and reflecting the actual humidity trends and patterns. The constructed humidity simulation model is used to generate a humidity simulation set, providing strong support for environmental monitoring and early warning.

[0055] In the embodiment of the present invention, in S231, Humidity simulation model for each installation location The expression is:

[0056] ;

[0057] Where, Indicates the The installation location is The relative humidity value at the time, Indicates the The weight of each installation location, Indicates the The installation location is The historical humidity of the moment, Represents the total number of historical moments.

[0058] The weight of a certain location can be determined according to the distance between the locations. For example, the closer the location is to the center point of the environmental monitoring area, the greater the weight, and the farther the location is from the center point of the environmental monitoring area, the smaller the weight.

[0059] In the embodiment of the present invention, in S232, the simulated characteristic value The calculation formula is:

[0060] ;

[0061] Where, represents the row matrix generated by the humidity simulation model for each installation location, represents the matrix transpose, represents the identity matrix, Indicates the Humidity simulation model for each installation location, represents the maximum function, represents the trace of the matrix, Represents the matrix norm operation.

[0062] In the embodiment of the present invention, in S233, the humidity simulation set The expression is:

[0063] ;

[0064] ;

[0065] Where, Indicates the sample value of the first installation position, Indicates the sample value of the second installation position, Indicates the Sample values ​​for each installation location, Indicates the Sample values ​​for each installation location, represents the simulated eigenvalue, Indicates the The maximum value of the humidity variation curve at each installation position, Indicates the Minimum value of the humidity variation curve for each installation position.

[0066] In the embodiment of the present invention, in S3, the real-time humidity of the environmental monitoring area at the next moment The calculation formula is:

[0067] ;

[0068] Where, represents the humidity simulation set, represents the median function, Indicates the The maximum value of the humidity variation curve at each installation position, Indicates the The minimum value of the humidity change curve for each installation position, Indicates the number of sensor installation locations, Represents the maximum function.

[0069] Those skilled in the art will appreciate that the embodiments described herein are intended to help readers understand the principles of the present invention, and it should be understood that the scope of protection of the present invention is not limited to such specific descriptions and embodiments. Those skilled in the art can make various other specific variations and combinations based on the technical teachings disclosed in the present invention without departing from the essence of the present invention, and such variations and combinations are still within the scope of protection of the present invention.

Claims

1. An integrated environmental monitoring method based on real-time humidity, characterized in that: The following steps are involved: S1, collect the historical humidity of each sensor installation location in the environmental monitoring area; S2. Calculate the simulated characteristic values ​​of the environmental monitoring area based on the historical humidity of each installation location and generate a humidity simulation set; S3. Based on the humidity simulation set of the environmental monitoring area, the real-time humidity of the environmental monitoring area at the next moment is predicted to complete the environmental monitoring.

2. The integrated environmental monitoring method based on real-time humidity according to claim 1, characterized in that: The S2 includes the following sub-steps: S21. Generate a humidity change curve for each installation location based on the historical humidity of each installation location; S22. Calculate a number of relative humidity values ​​based on the humidity change curve of each installation location; S23. Generate a humidity simulation set for the environmental monitoring area based on the humidity change curve of each installation location.

3. The integrated environmental monitoring method based on real-time humidity according to claim 2, characterized in that: In said S22, the installation position Relative humidity value at the moment The calculation formula is: ； Where, Indicates the humidity change curve from the first moment to the The number of extreme points in the moment, Indicates the humidity change curve Time to The number of extreme points in the moment, Indicates the humidity change curve from the first moment to the The moment The historical humidity corresponding to the extreme point is Indicates the humidity change curve Time to The moment The historical humidity corresponding to the extreme point is Indicates the installation location The historical humidity of the moment, Represents a constant.

4. The integrated environmental monitoring method based on real-time humidity according to claim 2, characterized in that: The S23 includes the following sub-steps: S231. Constructing a humidity simulation model for each installation location based on a plurality of relative humidity values ​​corresponding to each installation location; S232. Calculate simulation characteristic values ​​according to the humidity simulation models of all installation locations; S233: Generate a humidity simulation set according to the humidity change curve and simulation characteristic value of each installation location.

5. The integrated environmental monitoring method based on real-time humidity according to claim 4, characterized in that: In the above S231, Humidity simulation model for each installation location The expression is: ； Where, Indicates the The installation location is The relative humidity value at the time, Indicates the The weight of each installation location, Indicates the The installation location is The historical humidity of the moment, Represents the total number of historical moments.

6. The integrated environmental monitoring method based on real-time humidity according to claim 4, characterized in that: In the step S232, the simulated characteristic value The calculation formula is: ； Where, represents the row matrix generated by the humidity simulation model for each installation location, represents the matrix transpose, represents the identity matrix, Indicates the Humidity simulation model for each installation location, represents the maximum function, represents the trace of the matrix, Represents the matrix norm operation.

7. The integrated environmental monitoring method based on real-time humidity according to claim 4, characterized in that: In S233, humidity simulation set The expression is: ； ； Where, Indicates the sample value of the first installation position, Indicates the sample value of the second installation position, Indicates the Sample values ​​for each installation location, Indicates the Sample values ​​for each installation location, represents the simulated eigenvalue, Indicates the The maximum value of the humidity variation curve at each installation position, Indicates the Minimum value of the humidity variation curve for each installation position.

8. The integrated environmental monitoring method based on real-time humidity according to claim 1, characterized in that: In S3, the real-time humidity of the environmental monitoring area at the next moment The calculation formula is: ； Where, represents the humidity simulation set, represents the median function, Indicates the The maximum value of the humidity variation curve at each installation position, Indicates the The minimum value of the humidity change curve for each installation position, Indicates the number of sensor installation locations, Represents the maximum function.

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