Temperature and humidity adjusting system for museum collections

By combining video collection and environmental data analysis, the temperature and humidity of the museum exhibition area are dynamically adjusted, and the problem of damage to the collection in temperature and humidity changes is solved, real-time monitoring and adjustment of the collection environment is achieved.

CN120066173APending Publication Date: 2025-05-30JIANGSU SCI DREAM EXHIBITION TECH CO LTD
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Patent Information

Application Number
CN202510526645.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-25
Publication Date
2025-05-30

AI Technical Summary

Technical Problem

Museum collections are easily affected by changes in temperature and humidity, and it is difficult for the prior art to predict in advance and avoid the impact of temperature and humidity changes on the collection.

Method used

The video acquisition module and data acquisition module are used to calculate the abnormal coefficient of the collection storage through the analysis of video data and environmental data, and determine whether the temperature and humidity of the exhibition area need to be adjusted based on the threshold. Dynamic temperature and humidity adjustment is achieved through the decision module and the adjustment module.

Benefits of technology

By monitoring visitors’ information and environmental data in advance, temperature and humidity changes can be predicted, avoid damage to the collection during the adjustment process, and ensure that the collection is always in a stable and suitable temperature and humidity environment.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of temperature and humidity control, and particularly discloses a temperature and humidity adjusting system for museum collections, which comprises a video acquisition module used for acquiring image data of different exhibition areas in a museum, extracting required features in the data, and combining data of the video acquisition module and an environment acquisition module to obtain a temperature and humidity adjusting result; according to the method, the collection storage abnormal coefficients of different exhibition areas in different time periods can be calculated, and whether the storage environments of the collection in different exhibition areas in different time periods are abnormal or not is judged by combining a threshold value, so that whether tourists in different exhibition areas influence the temperature and humidity in the areas or not is reflected; and the temperature and humidity released by tourists need to be diffused in time, so that the temperature and humidity of different exhibition areas can be adjusted in advance by monitoring the data, and the situation that the collections are damaged due to the influence of temperature and humidity changes in the adjustment process due to the fact that temperature and humidity adjustment needs a certain time is avoided.
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Description

Technical Field

[0001] The present invention relates to the technical field of temperature and humidity control, and particularly to a temperature and humidity regulation system for museum collections. Background Art

[0002] The working principle of the temperature and humidity regulation system is based on the data collected by sensors and the control logic of the controller. When the temperature and humidity of the environment exceed the preset range, the sensor sends a signal to the controller, and after receiving the signal, the controller controls the actuator to perform corresponding operations.

[0003] The collections in museums are often made of various materials, such as metals, woods, papers, textiles, etc. These materials are very sensitive to changes in temperature and humidity. An inappropriate temperature and humidity environment may cause phenomena such as deformation, cracking, mildew, and rust of the collection materials, thereby damaging the integrity of the collections. However, since the human body is a heat source and continuously releases heat to the surrounding environment, and the human body releases moisture when breathing, when there are too many visitors in the museum, the temperature and humidity in the museum will change greatly. In this case, the temperature and humidity regulation system will sense the changes in temperature and humidity by monitoring the temperature sensors and humidity sensors around the collections, and adjust the temperature and humidity around different collections, so as to ensure the integrity of the collections.

[0004] In the prior art, the temperature and humidity regulation system for museum collections senses the changes in temperature and humidity by detecting the temperature sensors and humidity sensors around the collections, and adjusts the temperature and humidity around different collections according to the change situation. However, since the temperature sensors and humidity sensors are relatively close to the collections and it takes a certain amount of time to adjust the temperature and humidity, during the process of adjusting the temperature and humidity, the collections will still be affected by the changes in temperature and humidity, resulting in damage to the collections. Summary of the Invention

[0005] The purpose of the present invention is to provide a temperature and humidity regulation system for museum collections, and solve the following technical problems: How to predict the changes in temperature and humidity around the collections to avoid the influence of the changes in temperature and humidity on the collections.

[0006] The purpose of the present invention can be achieved by the following technical solutions: A temperature and humidity regulation system for museum collections, the system includes: A video acquisition module, which is used to acquire the image data of different exhibition areas in the museum and extract the required features from the data, including the number of visitors and the closest viewing distance of the collections in different exhibition areas; A data acquisition module, which is used to acquire the environmental information data of different exhibition areas in the museum and the environmental information data outside the exhibition areas; The data analysis module is used to calculate the abnormal coefficient of the collection storage in different exhibition areas of the museum at different time periods by combining the data obtained from the video acquisition module and the data acquisition module, and to determine whether there is an abnormality in the storage environment of the collections in different exhibition areas at different time periods by combining the threshold value; The decision-making module is used to further decide whether to adjust the preset temperature and humidity of different exhibition area positions by combining the analysis results of the data analysis module; The adjustment module is used to dynamically adjust the temperature and humidity of different exhibition areas in the museum at different time periods by combining the analysis data in the data analysis module when it is decided to adjust the preset temperature and humidity.

[0007] Furthermore, the environmental information data collected by the data acquisition module includes the temperature, humidity and outdoor temperature around different exhibition areas in the museum.

[0008] Furthermore, the analysis process of the data analysis module includes: By the formula Calculate the temperature and humidity influence coefficient of the ath exhibition area in the museum at the ith monitoring time period ; Where a is any exhibition area in the museum, i is a data monitoring time period at the same time interval after the museum opens, Is the total number of visitors in the ath exhibition area at the ith monitoring time period, Is The standard value of, t is any visiting tourist, and , Is the viewing duration of the tth tourist in the ath exhibition area during the ith monitoring time period, Is the metabolic weight coefficient of the tth visiting tourist, set by empirical fitting, y is the number of data acquisition time points at a fixed time interval in a time period, and z = 1, 2,..., y, Is the outdoor temperature at the zth time point during the ith monitoring time period, Is the preset indoor temperature of the museum, Is The standard value of, Is a defined function, if , then let , otherwise, let , Is the nearest viewing distance of the collections in the ath exhibition area, Is The standard value of.

[0009] Furthermore, the analysis process of the data analysis module also includes: By comparing the temperature and humidity influence coefficient of the \(i\)-th monitoring time period in the \(a\)-th exhibition area in the museum with the preset temperature and humidity influence coefficient threshold range in the \(a\)-th exhibition area for comparison; If , the system determines that the number of people in the \(a\)-th exhibition area during the current time period will not affect the storage environment of the collections; If , the system determines that the number of people in the \(a\)-th exhibition area during the current time period will have a slight impact on the storage environment of the collections; If , the system determines that the number of people in the \(a\)-th exhibition area during the current time period will have a serious impact on the storage environment of the collections.

[0010] Furthermore, the decision-making process of the decision-making module includes: When the system determines that the number of people in the \(a\)-th exhibition area during the current time period will not affect the storage environment of the collections, it is decided that the temperature and humidity in the current area do not need to be adjusted; When the system determines that the number of people in the \(a\)-th exhibition area during the current time period will have a slight impact on the storage environment of the collections, it is decided that the temperature and humidity in the current area need to be adjusted, and the temperature and humidity of the \(a\)-th exhibition area in the museum are dynamically adjusted through the adjustment module in combination with the analysis data in the data analysis module; When the system determines that the number of people in the \(a\)-th exhibition area during the current time period will have a serious impact on the storage environment of the collections, it is decided that the temperature and humidity in the current area need to be adjusted.

[0011] Furthermore, the decision-making process of the decision-making module also includes: When the system determines that the number of people in the \(a\)-th exhibition area during the current time period will have a serious impact on the storage environment of the collections, some exhibition areas are temporarily closed to ensure the safety of the collections as a priority.

[0012] Furthermore, the adjustment process of the adjustment module includes: By using the data of different time periods obtained in real time by the data analysis module, a change curve of the temperature and humidity influence coefficient in the \(a\)-th exhibition area in the museum is established ; And through the formula the change amount of the temperature and humidity influence coefficient from the opening of the museum to the \(i\)-th monitoring time period in the \(a\)-th exhibition area in the museum is calculated ; where is the first monitoring time period after the opening of the museum, is the \(i\)-th monitoring time period after the opening of the museum, is the proportionality coefficient, which is set by empirical fitting, is all the maximum value in is the average value of all .

[0013] Furthermore, the adjustment process of the adjustment module further includes: Calculating the adjusted temperature in the (i + 1)-th monitoring period in the a-th exhibition area in the museum through the formula ; And calculating the adjusted humidity in the (i + 1)-th monitoring period in the a-th exhibition area in the museum through the formula ; Wherein, is the preset temperature in the a-th exhibition area in the museum, and are weight coefficients, set by empirical fitting, is the adjustment coefficient comparison table function, which is obtained based on the influence degree of the value range of in the empirical data on the temperature from test data, is the preset humidity in the a-th exhibition area in the museum.

[0014] Furthermore, the adjustment process of the adjustment module further includes: After one adjustment of temperature or humidity is completed, it lasts for at least two time periods, and continues to dynamically monitor the temperature and humidity influence coefficients in different exhibition areas and different monitoring time periods in the museum.

[0015] Furthermore, the adjustment process of the adjustment module further includes: When the temperature and humidity in any exhibition area in the museum are adjusted, increase the air supply volume in this exhibition area to accelerate the indoor air flow.

[0016] Furthermore, the video acquisition module includes a camera unit and an identification unit. The camera unit is used to acquire video information data in different exhibition areas in the museum, and the identification unit is used to identify the video information data acquired by the camera unit and extract the required features.

[0017] Advantages of the present invention: ​​(1) By combining the data of the video acquisition module and the environment acquisition module, the present invention can calculate the abnormal coefficient of the storage of collections in different exhibition areas at different time periods, and by combining the threshold value, it can judge whether there is an abnormality in the storage environment of the collections in different exhibition areas at different time periods, so as to reflect whether the visitors in different exhibition areas will affect the temperature and humidity in that area. And because the temperature and humidity released by the visitors need time to spread, by monitoring this data, the temperature and humidity of different exhibition areas can be adjusted in advance, so as to avoid the situation that the collections are damaged due to the influence of the temperature and humidity change during the adjustment process because the adjustment of the temperature and humidity takes a certain amount of time.

[0018] (2) By comparing the temperature and humidity influence coefficient in the i-th monitoring time period of the a-th exhibition area in the museum with the preset temperature and humidity influence coefficient threshold interval in the a-th exhibition area, through this comparison method, it can accurately judge whether the number of people in the a-th exhibition area during the current time period will affect the storage environment of the collections, so as to provide strong data support for the subsequent decision-making module and ensure that the decision-making module can make accurate decisions.

[0019] (3) By combining the comparison results in the data analysis module, the decision-making module can accurately decide whether to adjust the temperature and humidity in the current area. And because this data is obtained by monitoring the information of the visitors in the exhibition area, and the temperature and humidity released by the visitors need a certain amount of diffusion time to affect the environment around the collections, so based on this judgment result, deciding whether to adjust the temperature and humidity can avoid the situation that the collections are damaged due to the influence of the temperature and humidity change during the adjustment process of the temperature and humidity because the adjustment of the temperature and humidity takes time.

[0020] (4) After monitoring the a-th exhibition area in the museum in the i-th time period, at the start time point of the next time period, by combining the temperature and humidity influence coefficient in the i-th monitoring time period of this exhibition area and the change amount of the temperature and humidity influence coefficient from the opening of the museum to the i-th monitoring time period, the temperature and humidity in the next time period of this exhibition area can be adjusted to ensure that the temperature and humidity after the adjustment can offset the heat and moisture released by the visitors during the i-th time period, so as to ensure that the collections in this exhibition area are always in a relatively stable and suitable temperature and humidity environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The present invention will be further described below with reference to the accompanying drawings.

[0022] Figure 1 is a schematic block diagram of a temperature and humidity adjustment system for museum collections in the present invention; Figure 2 It is a schematic block diagram of the video acquisition module in the present invention. Specific embodiments

[0023] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0024] Please refer to Figure 1 As shown, in one embodiment, the present application provides a temperature and humidity regulation system for museum collections, and the system includes: A video acquisition module, configured to collect image data of different exhibition areas in the museum and extract the required features in the data, including the number of visitors and the closest viewing distance of the collections in different exhibition areas; A data acquisition module, configured to collect environmental information data of different exhibition areas in the museum and environmental information data outside the exhibition areas; A data analysis module, configured to calculate the abnormal coefficient of the collection storage in different exhibition areas of the museum at different time periods in combination with the data obtained in the video acquisition module and the data acquisition module, and determine whether there is an abnormality in the storage environment of the collections in different exhibition areas at different time periods in combination with a threshold; A decision-making module, configured to further decide whether to adjust the preset temperature and humidity at different exhibition area positions in combination with the analysis results of the data analysis module; An adjustment module, configured to dynamically adjust the temperature and humidity of different exhibition areas in the museum at different time periods in combination with the analysis data in the data analysis module when it is decided to adjust the preset temperature and humidity; Through the above technical solutions, this embodiment provides a video acquisition module and a data acquisition module. When the museum is open, the video acquisition module can collect image data of different exhibition areas in the museum and extract the required features in the data, including the number of visitors and the closest viewing distance of the collections in different exhibition areas. Then, the data acquisition module collects environmental information data of different exhibition areas in the museum and environmental information data outside the exhibition areas, and the data analysis module calculates the abnormal coefficient of the collection storage in different exhibition areas of the museum at different time periods in combination with the two sets of data, and determines whether there is an abnormality in the storage environment of the collections in different exhibition areas at different time periods in combination with a threshold. Subsequently, the decision-making module can further decide whether to adjust the preset temperature and humidity at different exhibition area positions in combination with the analysis results of the data analysis module, and when it is decided to adjust the preset temperature and humidity, the adjustment module dynamically adjusts the temperature and humidity of different exhibition areas in the museum at different time periods in combination with the analysis data in the data analysis module; By setting it like this, by combining the data of the video acquisition module and the environment acquisition module, the abnormal coefficient of the collection storage in different exhibition areas at different time periods can be calculated, and by combining the threshold value, it can be judged whether there is an abnormality in the storage environment of the collections in different exhibition areas at different time periods, so as to reflect whether the visitors in different exhibition areas will affect the temperature and humidity in that area. And because the temperature and humidity released by the visitors take time to spread, by monitoring this data, the temperature and humidity of different exhibition areas can be adjusted in advance, so as to avoid the situation that the collections are damaged due to the influence of temperature and humidity changes during the adjustment process because it takes a certain amount of time to adjust the temperature and humidity.

[0025] The environmental information data collected by the data acquisition module includes the temperature, humidity and outdoor temperature around different exhibition areas in the museum; Through the above technical solution, this example provides the environmental information data collected by the data acquisition module, including the temperature, humidity and outdoor temperature around different exhibition areas in the museum. By combining this data, it can provide accurate data support for the subsequent dynamic adjustment of the temperature and humidity in different exhibition areas of the museum to ensure the accuracy of the adjustment results.

[0026] The analysis process of the data analysis module includes: Through the formula Calculate the temperature and humidity influence coefficient of the a-th exhibition area in the museum at the i-th monitoring time period ; Among them, a is any exhibition area in the museum, i is a data monitoring time period at the same time interval after the museum opens, is the total number of visitors in the a-th exhibition area at the i-th monitoring time period in the museum, is 's standard value. The above standard value can be selected and set according to the allowable error in the empirical data. t is any visiting tourist, and , is the viewing duration of the t-th tourist in the a-th exhibition area during the i-th monitoring time period in the museum, is the metabolic weight coefficient of the t-th visiting tourist, set by empirical fitting. y is the number of data acquisition time points at a fixed time interval in a time period, and z = 1, 2,..., y, is the outdoor temperature at the z-th time point during the i-th monitoring time period, is the preset indoor temperature of the museum, is 's standard value. The above standard value can be selected and set according to the allowable error in the empirical data, is a defined function. If , then let , otherwise, let , is the closest viewing distance of the collections in the a-th exhibition area, is the standard value, and the above standard value can be selected and set according to the allowable error in the empirical data; Through the above technical solution, this example provides the temperature and humidity influence coefficient in the i-th monitoring time period of the a-th exhibition area in the museum, which can be obtained by the formula Obviously, when the number of visitors in the i-th monitoring time period of the a-th exhibition area in the museum is larger, the visiting time of each visiting tourist is longer, the outdoor temperature is higher than the indoor temperature of the museum, and the closest viewing distance of the collections in the a-th exhibition area is smaller, then the temperature and humidity influence coefficient in the i-th monitoring time period of the a-th exhibition area in the museum is larger. That is because when the number of visitors in the i-th monitoring time period of the a-th exhibition area in the museum is larger and the visiting time of each visiting tourist is longer, the heat released by the visitors in this exhibition area and the humidity released during breathing are more, which is more likely to affect the temperature and humidity balance in this area. And when the outdoor temperature is higher than the indoor temperature of the museum, the visitors will bring more heat and have a higher breathing frequency. Moreover, the smaller the closest viewing distance of the collections in the a-th exhibition area, it means that the distance between the visitors and the collections during the visit is smaller, and the heat and humidity released by the visitors are more likely to spread to the surrounding of the collections; On the contrary, when the number of visitors in the i-th monitoring time period of the a-th exhibition area in the museum is smaller, the visiting time of each visiting tourist is shorter, the outdoor temperature is lower than the indoor temperature of the museum, and the closest viewing distance of the collections in the a-th exhibition area is larger, then the temperature and humidity influence coefficient in the i-th monitoring time period of the a-th exhibition area in the museum is smaller. Through this calculation method, it is possible to combine the visitor data and environmental information data in different exhibition areas to reflect whether the temperature and humidity balance in the current exhibition area will be damaged, thereby providing accurate data for subsequent judgment on whether temperature and humidity adjustment operations are required.

[0027] The analysis process of the data analysis module further includes; By comparing the temperature and humidity influence coefficient in the i-th monitoring time period of the a-th exhibition area in the museum with the preset temperature and humidity influence coefficient threshold range in the a-th exhibition area; If , the system determines that the number of visitors in the a-th exhibition area during the current time period will not affect the storage environment of the collections; If , the system determines that the number of visitors in the a-th exhibition area during the current time period will have a slight impact on the storage environment of the collections; If , the system determines that the number of people in the a-th exhibition area during the current time period will have a serious impact on the storage environment of the collections; Through the above technical solution, in this example, the temperature and humidity influence coefficient of the i-th monitoring time period in the a-th exhibition area of the museum is compared with the preset temperature and humidity influence coefficient threshold range in the a-th exhibition area By this comparison method, it is possible to accurately judge whether the number of people in the a-th exhibition area during the current time period will affect the storage environment of the collections, thereby providing strong data support for the subsequent decision-making module and ensuring that the decision-making module can make accurate decisions; It should be noted that the preset temperature and humidity influence coefficient threshold range in the above-mentioned a-th exhibition area can be set by fitting empirical data.

[0028] The decision-making process of the decision-making module includes: When the system determines that the number of people in the a-th exhibition area during the current time period will not affect the storage environment of the collections, it is decided that the temperature and humidity of the current area do not need to be adjusted; When the system determines that the number of people in the a-th exhibition area during the current time period will have a slight impact on the storage environment of the collections, it is decided that the temperature and humidity of the current area need to be adjusted, and the temperature and humidity of the a-th exhibition area in the museum are dynamically adjusted through the adjustment module in combination with the analysis data in the data analysis module; When the system determines that the number of people in the a-th exhibition area during the current time period will have a serious impact on the storage environment of the collections, it is decided that the temperature and humidity of the current area need to be adjusted; Through the above technical solution, this example provides the decision-making process of the decision-making module. By combining the comparison results in the data analysis module, the decision-making module can accurately decide whether the temperature and humidity of the current area need to be adjusted. And because this data is obtained by monitoring the information of the visitors in the exhibition area, and the temperature and humidity released by the visitors need a certain diffusion time to affect the environment around the collections, so based on this judgment result to decide whether to adjust the temperature and humidity can avoid the situation that the collections are damaged due to the influence of temperature and humidity changes during the process of temperature and humidity adjustment.

[0029] The decision-making process of the decision-making module also includes: When the system determines that the number of people in the a-th exhibition area during the current time period will have a serious impact on the storage environment of the collections, some exhibition areas are temporarily closed to ensure the safety of the collections first; Through the above technical solution, in this example, when it is determined that the number of people in the a-th exhibition area during the current time period will seriously affect the storage environment of the collections, a decision to temporarily close some exhibition areas is made, which can ensure the safety of the collections first. This decision is applicable during holidays when the number of tourists surges. In order to avoid excessive heat and water vapor released by tourists and the inability to adjust the temperature and humidity in the exhibition area in time, the exhibition areas in this area can be temporarily closed, so that the temperature and humidity in this area can be adjusted faster, thus avoiding damage to the collections.

[0030] The adjustment process of the adjustment module includes: Based on the data at different time periods obtained in real time by the data analysis module, establish a curve of the change of the temperature and humidity influence coefficient in the a-th exhibition area in the museum ; And through the formula Calculate the change amount of the temperature and humidity influence coefficient in the a-th exhibition area in the museum from the opening of the museum to the i-th monitoring time period ; Among them, Is the first monitoring time period after the opening of the museum, Is the i-th monitoring time period after the opening of the museum, Is the proportionality coefficient, set by empirical fitting, Is all The maximum value in, Is all The average value of; Through the above technical solution, this example provides the change amount of the temperature and humidity influence coefficient in the a-th exhibition area in the museum from the opening of the museum to the i-th monitoring time period, which can be calculated through the formula By this calculation method, this data can reflect the change of the number of tourists in the a-th exhibition area in the museum from the opening of the museum to the i-th monitoring time period. The larger this data is, it means that the number of tourists in the a-th exhibition area is gradually increasing, and the smaller this data is, it means that the number of tourists in the a-th exhibition area is gradually decreasing or tending to be stable. By setting it like this, it can provide correction data for subsequent adjustment of the temperature and humidity in different exhibition areas, so as to ensure the accuracy of the temperature and humidity adjustment results.

[0031] The adjustment process of the adjustment module also includes: Through the formula Calculate the adjusted temperature in the (i + 1)-th monitoring time period in the a-th exhibition area in the museum; And through the formula Calculate the adjusted humidity in the (i + 1)-th monitoring time period in the a-th exhibition area in the museum; Among them, Is the preset temperature in the a-th exhibition area in the museum, and is the weight coefficient, which is set by empirical fitting. is the adjustment coefficient comparison table function. Since the influence degree of the value range of the numerical values in the empirical data on the temperature is obtained based on the test data, is the preset humidity in the a-th exhibition area in the museum; Through the above technical solution, this example provides the adjusted humidity in the (i + 1)-th monitoring period in the a-th exhibition area in the museum and the adjusted temperature in the (i + 1)-th monitoring period in the a-th exhibition area in the museum, which can be respectively obtained through the formula and the formula By this calculation method, after monitoring the a-th exhibition area in the museum in the i-th time period, at the start time point of the next time period, combined with the temperature and humidity influence coefficient in the i-th monitoring period of this exhibition area and the change amount of the temperature and humidity influence coefficient from the opening of the museum to the i-th monitoring period of the two groups of data, the temperature and humidity in the next time period in this exhibition area are adjusted to ensure that the temperature and humidity after the adjustment can offset the heat and moisture released by the visitors in the i-th time period, so as to ensure that the collections in this exhibition area are always in a relatively stable and suitable temperature and humidity environment, and avoid situations such as deformation, cracking, mildew, and rust of the collection materials caused by unsuitable temperature and humidity environments.

[0032] The adjustment process of the adjustment module further includes: After the adjustment of the temperature or humidity is completed once, it lasts for at least two time periods, and continue to dynamically monitor the temperature and humidity influence coefficients of different exhibition areas and different monitoring time periods in the museum; Through the above technical solution, this example provides the adjustment process of the adjustment module. After the adjustment of the temperature or humidity is completed once, it lasts for at least two time periods, and continue to dynamically monitor the temperature and humidity influence coefficients of different exhibition areas and different monitoring time periods in the museum. Continuously and dynamically monitoring the temperature and humidity influence coefficients of different exhibition areas and different monitoring time periods can realize the dynamic adjustment of the temperature and humidity, thereby improving the adjustment speed and accuracy.

[0033] The adjustment process of the adjustment module further includes: When the temperature and humidity in any exhibition area in the museum are adjusted, increase the air supply volume in this exhibition area to accelerate the flow of indoor air; Through the above technical solution, after adjusting the temperature and humidity in any exhibition area, further increasing the air supply volume in this exhibition area to accelerate the flow of indoor air can effectively improve the temperature and humidity balance in this exhibition area, thereby further avoiding the situation that the collections are damaged due to the influence of temperature and humidity changes during the process of temperature and humidity adjustment because it takes a certain amount of time for temperature and humidity adjustment.

[0034] Please refer to Figure 2 As shown, the video acquisition module includes a camera unit and an identification unit. The camera unit is used to collect video information data of different exhibition areas in the museum, and the identification unit is used to identify the video information data collected by the camera unit and extract the required features. Through the above technical solution, this embodiment provides the acquisition process of the video acquisition module. First, the camera unit collects video information data of different exhibition areas in the museum, and then the identification unit identifies the video information data collected by the camera unit and extracts the required features, so as to accurately obtain the data of visitors in different exhibition areas at different time periods, thereby ensuring the accuracy of the analysis results of the data analysis module. It should be noted that the identification process of the identification unit is a prior art and will not be elaborated here.

[0035] The above has described a detailed description of an embodiment of the present invention, but the content described is only a preferred embodiment of the present invention and cannot be considered as used to limit the scope of implementation of the present invention. Any equivalent changes and improvements made according to the scope of the application of the present invention should still fall within the scope covered by the patent of the present invention.

Claims

1. A temperature and humidity control system for museum collections, characterized in that: The system comprises: The video acquisition module is used to collect image data from different exhibition areas in the museum and extract the required features from the data, including the number of visitors and the closest visiting distance of the collections in different exhibition areas; Data collection module, used to collect environmental information data of different exhibition areas in the museum and environmental information data outside the exhibition areas; The data analysis module is used to combine the data obtained by the video acquisition module and the data acquisition module to calculate the storage anomaly coefficient of the collections in different exhibition areas and different time periods in the museum, and to judge whether there are any anomalies in the storage environment of the collections in different exhibition areas and different time periods in combination with the threshold value; The decision-making module is used to combine the analysis results of the data analysis module to further decide whether it is necessary to adjust the preset temperature and humidity of different exhibition areas; The adjustment module is used to dynamically adjust the temperature and humidity of different exhibition areas in the museum at different time periods in combination with the analysis data in the data analysis module when the decision needs to adjust the preset temperature and humidity.

2. A temperature and humidity control system for museum collections according to claim 1, characterized in that: The environmental information data collected by the data collection module includes the temperature, humidity and outdoor temperature around different exhibition areas in the museum.

3. A temperature and humidity control system for museum collections according to claim 1, characterized in that: The analysis process of the data analysis module includes: By formula Calculate the temperature and humidity influence coefficient of the ath exhibition area in the museum during the i-th monitoring period ; Among them, a is any exhibition area in the museum, i is a data monitoring period at the same time interval after the museum opens, is the total number of visitors to the a-th exhibition area in the museum during the i-th monitoring period, for The standard value of , t is any visiting tourist, and , is the viewing time of the t-th visitor in the a-th exhibition area during the i-th monitoring period in the museum, is the metabolic weight coefficient of the t-th visitor, which is set according to empirical fitting, y is the number of data collection time points at fixed time intervals in a time period, and z=1, 2, …, y, is the outdoor temperature at the zth time point in the ith monitoring period, is the preset museum indoor temperature. for The standard value of To define a function, , then let , otherwise, let , is the shortest visiting distance of the collections in the ath exhibition area, for The standard value of .

4. A temperature and humidity control system for museum collections according to claim 2, characterized in that: The analysis process of the data analysis module also includes: By calculating the temperature and humidity influence coefficient of the i-th monitoring period in the a-th exhibition area in the museum The preset temperature and humidity influence coefficient threshold interval in the ath exhibition area Make a comparison; like , the system determines that the flow of people in the ath exhibition area in the current time period will not affect the storage environment of the collections; like , the system determines that the flow of people in the ath exhibition area in the current time period will have a slight impact on the storage environment of the collections; like , the system determines that the flow of people in the ath exhibition area in the current time period will have a serious impact on the storage environment of the collections.

5. The temperature and humidity control system for museum collections according to claim 1, characterized in that: The decision-making process of the decision-making module includes: When the system determines that the flow of people in the ath exhibition area in the current time period will not affect the storage environment of the collections, it decides that the temperature and humidity of the current area do not need to be adjusted; When the system determines that the flow of people in the ath exhibition area in the current time period will have a slight impact on the storage environment of the collections, it decides that the temperature and humidity of the current area need to be adjusted, and dynamically adjusts the temperature and humidity of the ath exhibition area in the museum through the adjustment module combined with the analysis data in the data analysis module; When the system determines that the flow of people in the ath exhibition area in the current time period will have a serious impact on the storage environment of the collections, it decides that the temperature and humidity of the current area need to be adjusted.

6. A temperature and humidity control system for museum collections according to claim 5, characterized in that: The decision-making process of the decision-making module also includes: When the system determines that the flow of people in the ath exhibition area in the current time period will have a serious impact on the storage environment of the collections, some exhibition areas will be temporarily closed to prioritize the safety of the collections.

7. The temperature and humidity control system for museum collections according to claim 3, characterized in that: The adjustment process of the adjustment module includes: Through the data analysis module, the data of different time periods are obtained in real time to establish the temperature and humidity influence coefficient change curve in the ath exhibition area in the museum. ; And through the formula Calculate the change in the temperature and humidity influence coefficient of the ath exhibition area in the museum from the opening to the ith monitoring time period ; in, This is the first monitoring period after the museum opens. is the i-th monitoring period after the museum opens, is the proportionality coefficient, which is set according to empirical fitting. For all The maximum value in For all The average value of .

8. The temperature and humidity control system for museum collections according to claim 7, characterized in that: The adjustment process of the adjustment module also includes: By formula Calculate the adjusted temperature of the i+1th monitoring period in the ath exhibition area in the museum ; And through the formula Calculate the adjusted humidity in the ath exhibition area in the museum during the i+1th monitoring period ; in, is the preset temperature in the ath exhibition area in the museum, and is the weight coefficient, which is set according to empirical fitting. It is the adjustment coefficient comparison table function, because according to the empirical data The influence of the range of values ​​on temperature is based on test data. It is the preset humidity in the ath exhibition area in the museum.

9. A temperature and humidity control system for museum collections according to claim 8, characterized in that: The adjustment process of the adjustment module also includes: After a temperature or humidity adjustment is completed, it will continue for at least two time periods, and continue to dynamically monitor the temperature and humidity influence coefficients in different exhibition areas and different monitoring time periods in the museum.

10. A temperature and humidity control system for museum collections according to claim 9, characterized in that: The adjustment process of the adjustment module also includes: When the temperature and humidity in any exhibition area of ​​the museum are adjusted, the air supply in that exhibition area is increased to accelerate the flow of indoor air.

11. The temperature and humidity control system for museum collections according to claim 1, characterized in that: The video acquisition module includes a camera unit and a recognition unit. The camera unit is used to collect video information data of different exhibition areas in the museum, and the recognition unit is used to recognize the video information data collected by the camera unit and extract required features.