Humidity sensor monitoring method and system for moisture resistance evaluation

Abstract

The invention discloses a humidity sensor monitoring method and system for moisture resistance evaluation, and belongs to the technical field of environment monitoring. The method comprises the following steps: acquiring monitoring performance data of humidity sensors, determining initial layout positions of the humidity sensors in a target area, performing redundancy analysis, and constructing a humidity monitoring system after optimizing the layout positions; acquiring humidity change data under different environment characteristics and humidity conditions through a monitoring system, and constructing a humidity difference atlas; analyzing moisture diffusion characteristics based on the humidity difference atlas, and establishing a humidity change prediction model; monitoring humidity information and environmental condition data in real time, and importing the humidity information and the environmental condition data into the prediction model to predict humidity change so as to obtain a prediction result; and determining a monitoring weight and a monitoring strategy of the humidity sensor according to a prediction result. The sensor layout and monitoring method is optimized, the moisture resistance of the target area can be efficiently evaluated, and the humidity monitoring precision and efficiency are improved.

Description

Technical Field

[0001] The present invention relates to the field of sensor monitoring technology, and in particular to a humidity sensor monitoring method and system for moisture-proof performance evaluation. Background Art

[0002] Humidity monitoring plays an important role in environmental control, storage management, and building protection. Changes in humidity not only affect the preservation of items, but may also cause structural damage to facilities. Traditional humidity monitoring methods usually rely on a single humidity sensor or a fixed sensor network, which is difficult to adapt to complex environmental characteristics and dynamic humidity changes. At the same time, due to the unreasonable location of the monitoring system or insufficient sensor performance, the acquisition of humidity information may be incomplete or the monitoring accuracy may be low.

[0003] In recent years, with the development of environmental monitoring technology, the performance and types of humidity sensors have been continuously improved, but how to make full use of existing sensor resources to optimize the monitoring system is still an urgent problem to be solved. On the one hand, the moisture diffusion characteristics are complex, and the traditional sensor deployment method is difficult to fully capture the humidity changes in the target area; on the other hand, the redundancy of monitoring data may lead to resource waste and reduce monitoring efficiency. In addition, the existing methods lack the ability to predict dynamic moisture diffusion characteristics, and it is difficult to respond to the needs of moisture-proof performance evaluation in a timely manner due to humidity changes.

[0004] Therefore, there is an urgent need for a method and system that can optimize the layout of humidity sensors and improve the efficiency and accuracy of humidity monitoring, especially for the moisture diffusion characteristics in complex environments, by building a prediction model to enhance the analysis and prediction capabilities of humidity changes, thereby achieving more efficient moisture-proof performance evaluation. Summary of the invention

[0005] In order to solve at least one of the above technical problems, the present invention proposes a humidity sensor monitoring method and system for moisture-proof performance evaluation.

[0006] A first aspect of the present invention provides a humidity sensor monitoring method for moisture-proof performance evaluation, comprising:

[0007] Acquire monitoring performance data of humidity sensors, determine the initial layout position of humidity sensors in the target area to be evaluated for moisture-proof performance according to the monitoring performance data, perform redundancy analysis on the humidity sensors at the initial layout position, optimize the position of the humidity sensors according to the redundancy analysis, and construct a humidity monitoring system for the target area;

[0008] Acquire humidity change data at each location of the target area under various environmental characteristics and different humidity conditions according to the humidity monitoring system, and construct a humidity difference map of the target area according to the humidity change data;

[0009] Determine the moisture diffusion characteristics of the target area under different humidity conditions and various environmental characteristics according to the humidity difference map, and construct a humidity change prediction model for the target area according to the moisture diffusion characteristics;

[0010] According to the humidity monitoring system, the humidity information of the target area is monitored in real time, and the environmental condition data of the target area is obtained, and the humidity information and the environmental condition data are imported into the humidity change prediction model to predict the humidity change of the target area, so as to obtain the humidity change prediction result;

[0011] The humidity sensor monitoring weight of the target area is determined according to the humidity change prediction result, and the humidity sensor monitoring strategy is determined according to the monitoring weight.

[0012] In this solution, the monitoring performance data of the humidity sensor is obtained, the initial layout position of the humidity sensor in the target area to be evaluated for moisture-proof performance is determined according to the monitoring performance data, the humidity sensor at the initial layout position is subjected to redundancy analysis, the position of the humidity sensor is optimized according to the redundancy analysis, and a humidity monitoring system for the target area is constructed, specifically:

[0013] Acquire monitoring performance data of the humidity sensor, and determine the humidity sensor layout spacing of the target area to be evaluated for moisture-proof performance according to the monitoring performance data;

[0014] Acquire spatial structure information of the target area, and determine the initial layout position of the humidity sensor according to the spatial structure information and the layout spacing of the humidity sensors;

[0015] By sequentially placing moisture release devices at multiple preset positions in the target area, the moisture release devices are operated at preset power for a preset time length, and humidity information of each initial layout position in the target area is obtained according to the humidity sensors at the initial layout positions;

[0016] constructing a humidity distribution map of the target area according to the humidity information, calculating the Euclidean distance of the humidity information between the monitoring areas of each humidity sensor according to the humidity distribution map, performing similarity analysis according to the Euclidean distance, and constructing a similarity matrix;

[0017] Classifying monitoring areas whose similarity is greater than a preset similarity according to the similarity matrix to obtain similarity monitoring classification areas;

[0018] Performing data monitoring repeatability analysis on the humidity information of each similarity monitoring classification area, determining the data repetition rate of the humidity information of each similarity monitoring classification area, calculating the humidity information acquisition redundancy according to the data repetition rate, merging the areas with redundancy greater than a preset value, and obtaining a merged monitoring area;

[0019] The initial layout positions of the humidity sensors are optimized according to the combined monitoring areas, and a humidity monitoring system for the target area is constructed based on the humidity sensors with optimized positions.

[0020] In this solution, the humidity monitoring system obtains humidity change data at each location of the target area under various environmental characteristics and different humidity conditions, and constructs a humidity difference map of the target area according to the humidity change data, specifically:

[0021] According to the humidity monitoring system, humidity change data and timestamp data of each position in the target area under various environmental characteristics and different humidity conditions are obtained, wherein the environmental characteristics include temperature, air flow velocity, air pressure, and light intensity, and the different humidity conditions include the location and range of the humidity source, and the humidity value;

[0022] Constructing a data matrix based on the timestamp data using the humidity data of the target area under each environmental feature and humidity condition acquired by the humidity monitoring system at each time point;

[0023] Acquire the layout location information of the humidity sensor in the target area, perform a humidity spatial interpolation operation on the layout location information and the humidity data of each location at each time point in the target area based on the Kriging interpolation algorithm, and construct a humidity distribution map of the target area at each time point;

[0024] Performing data annotation on the humidity distribution map, wherein the data annotation includes a timestamp annotation, an environmental feature annotation, and a humidity condition annotation, to obtain a data-annotated humidity distribution map;

[0025] Setting a reference humidity value of the target area, and assigning a reference color value to the reference humidity value, analyzing the reference humidity value and the reference color value according to histogram homogenization, and constructing a color mapping table for different humidity values;

[0026] The data-annotated humidity distribution map is color mapped according to the color mapping table to construct a humidity difference map of the target area.

[0027] In this solution, the humidity diffusion characteristics of the target area under different humidity conditions and the environmental characteristics are determined according to the humidity difference map, and a humidity change prediction model for the target area is constructed according to the humidity diffusion characteristics, specifically:

[0028] According to the humidity difference map, the humidity difference maps under the same environmental characteristics and the same humidity conditions are sorted in time series to obtain a time series humidity difference map under each environmental characteristic and humidity condition;

[0029] Determine the humidity change at each location of the target area under each environmental feature and humidity condition according to the time series humidity difference map, analyze the humidity change at each location based on the gradient field algorithm, and construct a gradient field of humidity distribution;

[0030] Identify the moisture diffusion direction and trend of the target area under various environmental characteristics and different humidity conditions according to the gradient field of the moisture distribution, and identify the moisture diffusion characteristics according to the moisture diffusion direction and trend, wherein the moisture diffusion characteristics include moisture diffusion path characteristics, diffusion rate characteristics, and diffusion degree characteristics;

[0031] Building a humidity change prediction model for the target area based on a decision tree algorithm, building a feature vector with the environmental characteristics, humidity conditions and corresponding moisture diffusion characteristics, and dividing the feature vector into training set features and test set features according to a preset ratio;

[0032] The training set features are imported into the humidity change prediction model to construct a decision tree, the humidity change prediction model is trained according to the decision tree, and the test set features are imported into the humidity change prediction model after training to optimize the model parameters, so as to obtain a humidity change prediction model with prediction capability for each location in the target area.

[0033] In this solution, the humidity information of the target area is monitored in real time according to the humidity monitoring system, and the environmental condition data of the target area is obtained, and the humidity information and environmental condition data are imported into the humidity change prediction model to predict the humidity change of the target area, and the humidity change prediction result is obtained, which is specifically:

[0034] According to the humidity monitoring system, the humidity information of the target area is obtained in real time, wherein the humidity information includes the location and range of the humidity source and the humidity value, and the environmental condition data of the target area is obtained in real time;

[0035] Importing the humidity information and environmental condition data into the humidity change prediction model, predicting the moisture diffusion information in the target area within a future preset time period, and obtaining moisture diffusion prediction information;

[0036] The humidity change at each location in the target area is predicted according to the moisture diffusion prediction information to obtain a humidity change prediction result.

[0037] In this solution, the humidity sensor monitoring weight of the target area is determined according to the humidity change prediction result, and the humidity sensor monitoring strategy is determined according to the monitoring weight, specifically:

[0038] Acquire humidity control demand data of the target area, and mark the area where the humidity is greater than the humidity control demand in a future preset time period according to the humidity change prediction result and the humidity control demand data to obtain a marked area;

[0039] Adjust the humidity sensor monitoring weight of the marked area according to the humidity change prediction result, and determine the sampling frequency of each humidity sensor in the target area according to the humidity sensor monitoring weight;

[0040] Acquire data transmission performance data of the humidity monitoring system, and calculate performance consumption information of the humidity monitoring system for data sampling according to the sampling frequency;

[0041] Determine the humidity monitoring response speed of the humidity monitoring system for the target area according to the performance consumption information and the data transmission performance data;

[0042] Obtain humidity monitoring response speed requirement data for the target area; if the humidity monitoring response speed is less than the humidity monitoring response speed requirement, determine the data transmission priority of each humidity monitoring sensor according to the humidity sensor monitoring weight; and construct a humidity sensor monitoring strategy according to the sampling frequency and data transmission priority;

[0043] According to the monitoring strategy, the humidity of the target area is monitored in real time to obtain real-time humidity information of the target area, and the moisture-proof performance of the target area is evaluated according to the real-time humidity information to obtain a moisture-proof performance evaluation result.

[0044] The second aspect of the present invention further provides a humidity sensor monitoring system for moisture-proof performance evaluation, the system comprising: a memory, a processor, the memory comprising a humidity sensor monitoring method program for moisture-proof performance evaluation, and when the humidity sensor monitoring method program for moisture-proof performance evaluation is executed by the processor, the following steps are implemented:

[0045] Acquire monitoring performance data of humidity sensors, determine the initial layout position of humidity sensors in the target area to be evaluated for moisture-proof performance according to the monitoring performance data, perform redundancy analysis on the humidity sensors at the initial layout position, optimize the position of the humidity sensors according to the redundancy analysis, and construct a humidity monitoring system for the target area;

[0046] Acquire humidity change data at each location of the target area under various environmental characteristics and different humidity conditions according to the humidity monitoring system, and construct a humidity difference map of the target area according to the humidity change data;

[0047] Determine the moisture diffusion characteristics of the target area under different humidity conditions and various environmental characteristics according to the humidity difference map, and construct a humidity change prediction model for the target area according to the moisture diffusion characteristics;

[0048] According to the humidity monitoring system, the humidity information of the target area is monitored in real time, and the environmental condition data of the target area is obtained, and the humidity information and the environmental condition data are imported into the humidity change prediction model to predict the humidity change of the target area, so as to obtain the humidity change prediction result;

[0049] The humidity sensor monitoring weight of the target area is determined according to the humidity change prediction result, and the humidity sensor monitoring strategy is determined according to the monitoring weight.

[0050] The present invention discloses a humidity sensor monitoring method and system for moisture-proof performance evaluation, belonging to the field of environmental monitoring technology. The method includes: obtaining humidity sensor monitoring performance data, determining the initial layout position of the humidity sensor in the target area and performing redundancy analysis, and constructing a humidity monitoring system after optimizing the layout position; obtaining humidity change data under different environmental characteristics and humidity conditions through the monitoring system, and constructing a humidity difference map; analyzing moisture diffusion characteristics based on the humidity difference map, and establishing a humidity change prediction model; real-time monitoring of humidity information and environmental condition data, and importing them into the prediction model to predict humidity changes and obtain prediction results; determining the monitoring weight and monitoring strategy of the humidity sensor based on the prediction results. The present invention optimizes the sensor layout and monitoring method, can efficiently evaluate the moisture-proof performance of the target area, and improve the humidity monitoring accuracy and efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 A flow chart showing a humidity sensor monitoring method for moisture-proof performance evaluation according to the present invention is shown;

[0052] Figure 2 A flow chart showing a humidity change prediction model for a target area constructed by the present invention is shown;

[0053] Figure 3 A flow chart showing the humidity change prediction result obtained by the present invention is shown;

[0054] Figure 4 A block diagram of a humidity sensor monitoring system for moisture-proof performance evaluation according to the present invention is shown. DETAILED DESCRIPTION

[0055] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0056] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0057] Figure 1 A flow chart of a humidity sensor monitoring method for moisture-proof performance evaluation according to the present invention is shown.

[0058] like Figure 1 As shown, the first aspect of the present invention provides a humidity sensor monitoring method for moisture-proof performance evaluation, comprising:

[0059] S102, acquiring monitoring performance data of humidity sensors, determining the initial layout position of humidity sensors in the target area to be evaluated for moisture-proof performance according to the monitoring performance data, performing redundancy analysis on the humidity sensors at the initial layout position, optimizing the position of the humidity sensors according to the redundancy analysis, and constructing a humidity monitoring system for the target area;

[0060] S104, obtaining humidity change data of each position in the target area under various environmental characteristics and different humidity conditions according to the humidity monitoring system, and constructing a humidity difference map of the target area according to the humidity change data;

[0061] S106, determining each environmental characteristic and moisture diffusion characteristics of the target area under different humidity conditions according to the humidity difference map, and constructing a humidity change prediction model for the target area according to the moisture diffusion characteristics;

[0062] S108, monitoring the humidity information of the target area in real time according to the humidity monitoring system, and acquiring the environmental condition data of the target area, importing the humidity information and the environmental condition data into the humidity change prediction model to predict the humidity change of the target area, and obtaining the humidity change prediction result;

[0063] S110, determining a humidity sensor monitoring weight for a target area according to the humidity change prediction result, and determining a humidity sensor monitoring strategy according to the monitoring weight.

[0064] It should be noted that by collecting the performance data of humidity sensors (such as accuracy, response speed, measurement range, etc.), combined with the spatial structure information of the target area, the layout location of the humidity sensors is preliminarily determined to effectively cover the monitoring area. Through redundancy analysis and optimization of the layout location, the monitoring blind area and data redundancy are reduced, the sensor distribution is ensured to be reasonable, and an efficient and accurate humidity monitoring system is constructed; the humidity monitoring system records the humidity change data under multiple environmental characteristics (such as temperature, airflow, pressure, light, etc.) and humidity conditions (such as humidity source location, humidity range), and forms a humidity data set in time and space dimensions. Based on these data, a humidity difference map is constructed to intuitively display the spatial differences in humidity distribution in the target area; using the humidity difference map, the path, rate and degree of humidity diffusion are identified to reveal the law of humidity change. Based on these diffusion characteristics, a humidity change prediction model is constructed through machine learning algorithms (such as decision trees, etc.) to achieve accurate prediction of the dynamic changes of humidity in complex environments; through real-time monitoring of humidity information and environmental condition data, combined with the humidity change prediction model, the humidity change trend is dynamically analyzed to warn of possible moisture diffusion problems in advance. This step enhances the system's dynamic response to moisture diffusion; based on the humidity change prediction results, the monitoring weights (such as importance and priority) of each humidity sensor are determined, and the monitoring strategy (such as sampling frequency and data transmission priority) is optimized. This adaptive monitoring strategy improves the resource utilization of the humidity monitoring system, reduces energy consumption and costs, and ensures the monitoring accuracy of high-risk areas, providing efficient support for the moisture-proof performance evaluation of the target area.

[0065] According to an embodiment of the present invention, the monitoring performance data of the humidity sensor is obtained, the initial layout position of the humidity sensor in the target area to be evaluated for moisture-proof performance is determined according to the monitoring performance data, the humidity sensor at the initial layout position is subjected to redundancy analysis, the position of the humidity sensor is optimized according to the redundancy analysis, and the humidity monitoring system of the target area is constructed, specifically as follows:

[0066] Acquire monitoring performance data of the humidity sensor, and determine the humidity sensor layout spacing of the target area to be evaluated for moisture-proof performance according to the monitoring performance data;

[0067] Acquire spatial structure information of the target area, and determine the initial layout position of the humidity sensor according to the spatial structure information and the layout spacing of the humidity sensors;

[0068] By sequentially placing moisture release devices at multiple preset positions in the target area, the moisture release devices are operated at preset power for a preset time length, and humidity information of each initial layout position in the target area is obtained according to the humidity sensors at the initial layout positions;

[0069] constructing a humidity distribution map of the target area according to the humidity information, calculating the Euclidean distance of the humidity information between the monitoring areas of each humidity sensor according to the humidity distribution map, performing similarity analysis according to the Euclidean distance, and constructing a similarity matrix;

[0070] Classifying monitoring areas whose similarity is greater than a preset similarity according to the similarity matrix to obtain similarity monitoring classification areas;

[0071] Performing data monitoring repeatability analysis on the humidity information of each similarity monitoring classification area, determining the data repetition rate of the humidity information of each similarity monitoring classification area, calculating the humidity information acquisition redundancy according to the data repetition rate, merging the areas with redundancy greater than a preset value, and obtaining a merged monitoring area;

[0072] The initial layout positions of the humidity sensors are optimized according to the combined monitoring areas, and a humidity monitoring system for the target area is constructed based on the humidity sensors with optimized positions.

[0073] It should be noted that the initial layout position of the humidity sensor in the target area is determined by analyzing the monitoring performance data of the humidity sensor, and then the moisture release device is placed at multiple preset positions in the target area to perform humidity release operations, simulating the moisture diffusion process, and combining the humidity sensors at the initial layout positions to collect humidity change information and construct a humidity distribution map of the target area. This process can intuitively display the moisture diffusion characteristics and humidity change trends; the environmental characteristics (such as temperature, air flow velocity, pressure, etc.) in some target areas may be distributed more evenly, resulting in smaller spatial differences in humidity changes. In this case, the humidity data collected by multiple sensors may be highly consistent, resulting in information redundancy. Therefore, by calculating the Euclidean distance of humidity information, analyzing the similarity between humidity monitoring areas, and generating a similarity matrix, the similarity of humidity characteristics between monitoring areas can be quantified, which helps to identify data redundant areas, classify monitoring areas with higher similarity, merge areas with redundancy exceeding a preset threshold, optimize the layout of humidity sensors, and reduce excessive deployment of sensors; only adjacent areas with redundancy exceeding a preset threshold can be merged, and only one humidity sensor is set in the merged area for monitoring. Through the optimization of layout positions and the merging of monitoring areas, an efficient humidity monitoring system is finally constructed to ensure that humidity sensors can comprehensively monitor the target area with the optimal number and distribution pattern.

[0074] According to an embodiment of the present invention, the humidity monitoring system obtains humidity change data at each position of the target area under various environmental characteristics and different humidity conditions, and constructs a humidity difference map of the target area according to the humidity change data, specifically:

[0075] According to the humidity monitoring system, humidity change data and timestamp data of each position in the target area under various environmental characteristics and different humidity conditions are obtained, wherein the environmental characteristics include temperature, air flow velocity, air pressure, and light intensity, and the different humidity conditions include the location and range of the humidity source, and the humidity value;

[0076] Constructing a data matrix based on the timestamp data using the humidity data of the target area under each environmental feature and humidity condition acquired by the humidity monitoring system at each time point;

[0077] Acquire the layout location information of the humidity sensor in the target area, perform a humidity spatial interpolation operation on the layout location information and the humidity data of each location at each time point in the target area based on the Kriging interpolation algorithm, and construct a humidity distribution map of the target area at each time point;

[0078] Performing data annotation on the humidity distribution map, wherein the data annotation includes a timestamp annotation, an environmental feature annotation, and a humidity condition annotation, to obtain a data-annotated humidity distribution map;

[0079] Setting a reference humidity value of the target area, and assigning a reference color value to the reference humidity value, analyzing the reference humidity value and the reference color value according to histogram homogenization, and constructing a color mapping table for different humidity values;

[0080] The data-annotated humidity distribution map is color mapped according to the color mapping table to construct a humidity difference map of the target area.

[0081] It should be noted that humidity changes are not only affected by spatial position, but also closely related to environmental conditions (such as temperature, airflow velocity, air pressure, light intensity) and humidity sources (such as humidity source location and humidity value). By integrating timestamps, environmental characteristics (such as temperature, airflow velocity, air pressure, light intensity) and humidity conditions (such as humidity source location, range and humidity value), a humidity change data matrix of the target area is constructed. By constructing a humidity distribution map of the target area at each time point, since the layout positions of humidity sensors in the target area are sparse and humidity sensors are not deployed at every location, it is necessary to perform spatial interpolation of humidity sensor data through the Kriging interpolation algorithm to generate a humidity distribution map of the target area at each time point, which improves the resolution of humidity distribution, makes up for the monitoring blind spots that may be caused by the large spacing of sensors, and makes the humidity data coverage more comprehensive and accurate; by constructing a color mapping table, the humidity distribution map is converted into a humidity difference map, and different humidity values ​​are intuitively presented as different colors, which can quickly identify areas or change trends that exceed the baseline humidity.

[0082] Figure 2 A flow chart of the present invention for constructing a humidity change prediction model for a target area is shown.

[0083] According to an embodiment of the present invention, the humidity diffusion characteristics of the target area under different humidity conditions and the environmental characteristics are determined according to the humidity difference map, and a humidity change prediction model of the target area is constructed according to the humidity diffusion characteristics, specifically:

[0084] S202, sorting the humidity difference maps under the same environmental characteristics and the same humidity conditions in time series according to the humidity difference maps, to obtain a time series humidity difference map under each environmental characteristic and humidity condition;

[0085] S204, determining the humidity change of each position of the target area under each environmental feature and humidity condition according to the time series humidity difference map, analyzing the humidity change of each position based on a gradient field algorithm, and constructing a gradient field of humidity distribution;

[0086] S206, identifying the moisture diffusion direction and trend of the target area under various environmental characteristics and different humidity conditions according to the gradient field of the humidity distribution, and identifying moisture diffusion characteristics according to the moisture diffusion direction and trend, wherein the moisture diffusion characteristics include moisture diffusion path characteristics, diffusion rate characteristics, and diffusion degree characteristics;

[0087] S208, constructing a humidity change prediction model for the target area based on a decision tree algorithm, constructing a feature vector with the environmental characteristics, humidity conditions and corresponding moisture diffusion characteristics, and dividing the feature vector into training set features and test set features according to a preset ratio;

[0088] S210, importing the training set features into the humidity change prediction model to construct a decision tree, training the humidity change prediction model according to the decision tree, and importing the test set features into the humidity change prediction model after training to optimize model parameters, so as to obtain a humidity change prediction model with prediction capability for each location in the target area.

[0089] It should be noted that by analyzing the moisture diffusion data under different environmental characteristics and humidity conditions in the humidity difference map, combined with the gradient field algorithm and the identification of moisture diffusion direction and trend, the diffusion path, diffusion rate and diffusion degree of moisture in the target area can be accurately determined. This means that we can fully understand how moisture propagates under different conditions; by constructing a humidity change prediction model based on time series, combined with humidity difference maps, environmental characteristics and moisture diffusion characteristics, we can achieve dynamic prediction of humidity changes in the target area, analyze humidity changes using the gradient field algorithm, and train and optimize the humidity change prediction model in combination with the decision tree algorithm, so as to achieve high-precision prediction of humidity changes in the target area. By dividing the feature vector and optimizing the training set and test set, it is ensured that the model can adapt to different environmental conditions and humidity change patterns; the gradient field represents the spatial variation of humidity in the target area.

[0090] Figure 3 A flow chart of the present invention for obtaining humidity change prediction results is shown.

[0091] According to an embodiment of the present invention, the humidity information of the target area is monitored in real time according to the humidity monitoring system, and the environmental condition data of the target area is obtained, and the humidity information and the environmental condition data are imported into the humidity change prediction model to predict the humidity change of the target area, and the humidity change prediction result is obtained, which is specifically:

[0092] S302, obtaining humidity information of the target area in real time according to the humidity monitoring system, wherein the humidity information includes the location and range of the humidity source and the humidity value, and obtaining environmental condition data of the target area in real time;

[0093] S304, importing the humidity information and environmental condition data into the humidity change prediction model, predicting the moisture diffusion information in the target area within a future preset time period, and obtaining moisture diffusion prediction information;

[0094] S306: Predict the humidity change at each location in the target area according to the moisture diffusion prediction information to obtain a humidity change prediction result.

[0095] It should be noted that the humidity information (such as the location, range and humidity value of the humidity source) and environmental condition data (such as temperature, airflow, air pressure, etc.) of the target area are monitored in real time; by importing the real-time humidity information and environmental condition data into the humidity change prediction model, the moisture diffusion information of the target area can be predicted, covering the moisture diffusion path, rate and diffusion range. This prediction is not limited to the current moment, but can also accurately estimate the humidity changes in the future.

[0096] According to an embodiment of the present invention, the humidity sensor monitoring weight of the target area is determined according to the humidity change prediction result, and the monitoring strategy of the humidity sensor is determined according to the monitoring weight, specifically:

[0097] Acquire humidity control demand data of the target area, and mark the area where the humidity is greater than the humidity control demand in a future preset time period according to the humidity change prediction result and the humidity control demand data to obtain a marked area;

[0098] Adjust the humidity sensor monitoring weight of the marked area according to the humidity change prediction result, and determine the sampling frequency of each humidity sensor in the target area according to the humidity sensor monitoring weight;

[0099] Acquire data transmission performance data of the humidity monitoring system, and calculate performance consumption information of the humidity monitoring system for data sampling according to the sampling frequency;

[0100] Determine the humidity monitoring response speed of the humidity monitoring system for the target area according to the performance consumption information and the data transmission performance data;

[0101] Obtain humidity monitoring response speed requirement data for the target area; if the humidity monitoring response speed is less than the humidity monitoring response speed requirement, determine the data transmission priority of each humidity monitoring sensor according to the humidity sensor monitoring weight; and construct a humidity sensor monitoring strategy according to the sampling frequency and data transmission priority;

[0102] According to the monitoring strategy, the humidity of the target area is monitored in real time to obtain real-time humidity information of the target area, and the moisture-proof performance of the target area is evaluated according to the real-time humidity information to obtain a moisture-proof performance evaluation result.

[0103] It should be noted that in areas with higher humidity (marked areas), humidity monitoring needs to be performed more frequently, while in areas with lower humidity, frequent monitoring may be redundant, wasting computing and transmission resources. By adjusting the monitoring weight and sampling frequency, resources can be concentrated in areas with large humidity changes, improving the monitoring efficiency of sensors, avoiding invalid data collection, reducing unnecessary data collection and transmission, improving the overall performance of the system, and reducing energy consumption; the performance consumption of data transmission is crucial in wireless humidity monitoring systems. Too high a sampling frequency may cause the system to be overloaded, increase data transmission delays, reduce monitoring response speed, and even affect the stability of the system. The humidity monitoring system needs to respond to humidity changes in the target area in a timely manner, especially in moisture-proof assessment and moisture diffusion prediction. Response speed is the key to ensuring early warning and decision-making efficiency. If the system responds too slowly, moisture-proof measures may not be started in time, thereby increasing risks. By dynamically adjusting the priority and sampling frequency of sensors, it is possible to ensure that humidity changes in important areas are monitored in a timely manner, avoiding response delays when moisture risks are higher. Based on the humidity monitoring response speed requirements of the target area, the monitoring strategy can be flexibly adjusted so that the system can provide fast and accurate humidity change data at critical moments. Based on real-time humidity information and optimization of the monitoring strategy, the moisture-proof performance of the target area can be evaluated efficiently and accurately, and potential problems of excessive humidity can be discovered in a timely manner.

[0104] Figure 4 A block diagram of a humidity sensor monitoring system for moisture-proof performance evaluation according to the present invention is shown.

[0105] The second aspect of the present invention further provides a humidity sensor monitoring system 4 for moisture-proof performance evaluation, the system comprising: a memory 41, a processor 42, the memory comprising a humidity sensor monitoring method program for moisture-proof performance evaluation, and when the humidity sensor monitoring method program for moisture-proof performance evaluation is executed by the processor, the following steps are implemented:

[0106] Acquire monitoring performance data of humidity sensors, determine the initial layout position of humidity sensors in the target area to be evaluated for moisture-proof performance according to the monitoring performance data, perform redundancy analysis on the humidity sensors at the initial layout position, optimize the position of the humidity sensors according to the redundancy analysis, and construct a humidity monitoring system for the target area;

[0107] Acquire humidity change data at each location of the target area under various environmental characteristics and different humidity conditions according to the humidity monitoring system, and construct a humidity difference map of the target area according to the humidity change data;

[0108] Determine the moisture diffusion characteristics of the target area under different humidity conditions and various environmental characteristics according to the humidity difference map, and construct a humidity change prediction model for the target area according to the moisture diffusion characteristics;

[0109] According to the humidity monitoring system, the humidity information of the target area is monitored in real time, and the environmental condition data of the target area is obtained, and the humidity information and the environmental condition data are imported into the humidity change prediction model to predict the humidity change of the target area, so as to obtain the humidity change prediction result;

[0110] The humidity sensor monitoring weight of the target area is determined according to the humidity change prediction result, and the humidity sensor monitoring strategy is determined according to the monitoring weight.

[0111] The present invention discloses a humidity sensor monitoring method and system for moisture-proof performance evaluation, belonging to the field of environmental monitoring technology. The method includes: obtaining humidity sensor monitoring performance data, determining the initial layout position of the humidity sensor in the target area and performing redundancy analysis, and constructing a humidity monitoring system after optimizing the layout position; obtaining humidity change data under different environmental characteristics and humidity conditions through the monitoring system, and constructing a humidity difference map; analyzing moisture diffusion characteristics based on the humidity difference map, and establishing a humidity change prediction model; real-time monitoring of humidity information and environmental condition data, and importing them into the prediction model to predict humidity changes and obtain prediction results; determining the monitoring weight and monitoring strategy of the humidity sensor based on the prediction results. The present invention optimizes the sensor layout and monitoring method, can efficiently evaluate the moisture-proof performance of the target area, and improve the humidity monitoring accuracy and efficiency.

[0112] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0113] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0114] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0115] A person of ordinary skill in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks or optical disks, and other media that can store program codes.

[0116] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

[0117] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A humidity sensor monitoring method for moisture-proof performance evaluation, characterized in that: The following steps are involved: Acquire monitoring performance data of humidity sensors, determine the initial layout position of humidity sensors in the target area to be evaluated for moisture-proof performance according to the monitoring performance data, perform redundancy analysis on the humidity sensors at the initial layout position, optimize the position of the humidity sensors according to the redundancy analysis, and construct a humidity monitoring system for the target area; Acquire humidity change data at each location of the target area under various environmental characteristics and different humidity conditions according to the humidity monitoring system, and construct a humidity difference map of the target area according to the humidity change data; Determine the moisture diffusion characteristics of the target area under different humidity conditions and various environmental characteristics according to the humidity difference map, and construct a humidity change prediction model for the target area according to the moisture diffusion characteristics; According to the humidity monitoring system, the humidity information of the target area is monitored in real time, and the environmental condition data of the target area is obtained, and the humidity information and the environmental condition data are imported into the humidity change prediction model to predict the humidity change of the target area, so as to obtain the humidity change prediction result; The humidity sensor monitoring weight of the target area is determined according to the humidity change prediction result, and the humidity sensor monitoring strategy is determined according to the monitoring weight.

2. A humidity sensor monitoring method for moisture-proof performance evaluation according to claim 1, characterized in that: The monitoring performance data of the humidity sensor is obtained, and the initial layout position of the humidity sensor in the target area to be evaluated for moisture-proof performance is determined according to the monitoring performance data, and the humidity sensor at the initial layout position is subjected to redundancy analysis, and the position of the humidity sensor is optimized according to the redundancy analysis, so as to construct a humidity monitoring system for the target area, specifically: Acquire monitoring performance data of the humidity sensor, and determine the humidity sensor layout spacing of the target area to be evaluated for moisture-proof performance according to the monitoring performance data; Acquire spatial structure information of the target area, and determine the initial layout position of the humidity sensor according to the spatial structure information and the layout spacing of the humidity sensors; By sequentially placing moisture release devices at multiple preset positions in the target area, the moisture release devices are operated at preset power for a preset time length, and humidity information of each initial layout position in the target area is obtained according to the humidity sensors at the initial layout positions; Constructing a humidity distribution map of the target area according to the humidity information, calculating the Euclidean distance of the humidity information between the monitoring areas of each humidity sensor according to the humidity distribution map, performing similarity analysis according to the Euclidean distance, and constructing a similarity matrix; Classifying monitoring areas whose similarity is greater than a preset similarity according to the similarity matrix to obtain similarity monitoring classification areas; Performing data monitoring repeatability analysis on the humidity information of each similarity monitoring classification area, determining the data repetition rate of the humidity information of each similarity monitoring classification area, calculating the humidity information acquisition redundancy according to the data repetition rate, merging the areas with redundancy greater than a preset value, and obtaining a merged monitoring area; The initial layout positions of the humidity sensors are optimized according to the combined monitoring areas, and a humidity monitoring system for the target area is constructed based on the humidity sensors with optimized positions.

3. A humidity sensor monitoring method for moisture-proof performance evaluation according to claim 1, characterized in that: The humidity monitoring system obtains humidity change data at each position of the target area under various environmental characteristics and different humidity conditions, and constructs a humidity difference map of the target area according to the humidity change data, specifically: According to the humidity monitoring system, humidity change data and timestamp data of each position in the target area under various environmental characteristics and different humidity conditions are obtained, wherein the environmental characteristics include temperature, air flow velocity, air pressure, and light intensity, and the different humidity conditions include the location and range of the humidity source, and the humidity value; Constructing a data matrix based on the timestamp data using the humidity data of the target area under each environmental feature and humidity condition acquired by the humidity monitoring system at each time point; Acquire the layout location information of the humidity sensor in the target area, perform a humidity spatial interpolation operation on the layout location information and the humidity data of each location at each time point in the target area based on the Kriging interpolation algorithm, and construct a humidity distribution map of the target area at each time point; Performing data annotation on the humidity distribution map, wherein the data annotation includes a timestamp annotation, an environmental feature annotation, and a humidity condition annotation, to obtain a data-annotated humidity distribution map; Setting a reference humidity value of the target area, and assigning a reference color value to the reference humidity value, analyzing the reference humidity value and the reference color value according to histogram homogenization, and constructing a color mapping table for different humidity values; The data-annotated humidity distribution map is color mapped according to the color mapping table to construct a humidity difference map of the target area.

4. A humidity sensor monitoring method for moisture-proof performance evaluation according to claim 1, characterized in that: The step of determining the humidity diffusion characteristics of the target area under different humidity conditions and the environmental characteristics according to the humidity difference map, and constructing a humidity change prediction model for the target area according to the humidity diffusion characteristics is specifically as follows: According to the humidity difference map, the humidity difference maps under the same environmental characteristics and the same humidity conditions are sorted in time series to obtain a time series humidity difference map under each environmental characteristic and humidity condition; Determine the humidity change at each location of the target area under each environmental feature and humidity condition according to the time series humidity difference map, analyze the humidity change at each location based on the gradient field algorithm, and construct a gradient field of humidity distribution; Identify the moisture diffusion direction and trend of the target area under various environmental characteristics and different humidity conditions according to the gradient field of the moisture distribution, and identify the moisture diffusion characteristics according to the moisture diffusion direction and trend, wherein the moisture diffusion characteristics include moisture diffusion path characteristics, diffusion rate characteristics, and diffusion degree characteristics; Building a humidity change prediction model for the target area based on a decision tree algorithm, building a feature vector with the environmental characteristics, humidity conditions and corresponding moisture diffusion characteristics, and dividing the feature vector into training set features and test set features according to a preset ratio; The training set features are imported into the humidity change prediction model to construct a decision tree, the humidity change prediction model is trained according to the decision tree, and the test set features are imported into the humidity change prediction model after training to optimize the model parameters, so as to obtain a humidity change prediction model with prediction capability for each location in the target area.

5. A humidity sensor monitoring method for moisture-proof performance evaluation according to claim 1, characterized in that: The humidity information of the target area is monitored in real time according to the humidity monitoring system, and the environmental condition data of the target area is obtained, and the humidity information and the environmental condition data are imported into the humidity change prediction model to predict the humidity change of the target area, and the humidity change prediction result is obtained, which is specifically: According to the humidity monitoring system, the humidity information of the target area is obtained in real time, wherein the humidity information includes the location and range of the humidity source and the humidity value, and the environmental condition data of the target area is obtained in real time; Importing the humidity information and environmental condition data into the humidity change prediction model, predicting the moisture diffusion information in the target area within a future preset time period, and obtaining moisture diffusion prediction information; The humidity change at each location in the target area is predicted according to the moisture diffusion prediction information to obtain a humidity change prediction result.

6. A humidity sensor monitoring method for moisture-proof performance evaluation according to claim 1, characterized in that: The humidity sensor monitoring weight of the target area is determined according to the humidity change prediction result, and the humidity sensor monitoring strategy is determined according to the monitoring weight, specifically: Acquire humidity control demand data of the target area, and mark the area where the humidity is greater than the humidity control demand in a future preset time period according to the humidity change prediction result and the humidity control demand data to obtain a marked area; Adjust the humidity sensor monitoring weight of the marked area according to the humidity change prediction result, and determine the sampling frequency of each humidity sensor in the target area according to the humidity sensor monitoring weight; Acquire data transmission performance data of the humidity monitoring system, and calculate performance consumption information of the humidity monitoring system for data sampling according to the sampling frequency; Determine the humidity monitoring response speed of the humidity monitoring system for the target area according to the performance consumption information and the data transmission performance data; Obtain humidity monitoring response speed requirement data for the target area; if the humidity monitoring response speed is less than the humidity monitoring response speed requirement, determine the data transmission priority of each humidity monitoring sensor according to the humidity sensor monitoring weight; and construct a humidity sensor monitoring strategy according to the sampling frequency and data transmission priority; According to the monitoring strategy, the humidity of the target area is monitored in real time to obtain real-time humidity information of the target area, and the moisture-proof performance of the target area is evaluated according to the real-time humidity information to obtain a moisture-proof performance evaluation result.

7. A humidity sensor monitoring system for moisture-proof performance evaluation, characterized in that: The humidity sensor monitoring system for moisture-proof performance evaluation includes a storage device and a processor. The storage device includes a humidity sensor monitoring method program for moisture-proof performance evaluation. When the humidity sensor monitoring method program for moisture-proof performance evaluation is executed by the processor, the following steps are implemented: Acquire monitoring performance data of humidity sensors, determine the initial layout position of humidity sensors in the target area to be evaluated for moisture-proof performance according to the monitoring performance data, perform redundancy analysis on the humidity sensors at the initial layout position, optimize the position of the humidity sensors according to the redundancy analysis, and construct a humidity monitoring system for the target area; Acquire humidity change data at each location of the target area under various environmental characteristics and different humidity conditions according to the humidity monitoring system, and construct a humidity difference map of the target area according to the humidity change data; Determine the moisture diffusion characteristics of the target area under different humidity conditions and various environmental characteristics according to the humidity difference map, and construct a humidity change prediction model for the target area according to the moisture diffusion characteristics; According to the humidity monitoring system, the humidity information of the target area is monitored in real time, and the environmental condition data of the target area is obtained, and the humidity information and the environmental condition data are imported into the humidity change prediction model to predict the humidity change of the target area, so as to obtain the humidity change prediction result; The humidity sensor monitoring weight of the target area is determined according to the humidity change prediction result, and the humidity sensor monitoring strategy is determined according to the monitoring weight.

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