Visual three-dimensional diffusion simulation method and system for organic acid

Abstract

The invention relates to the technical field of air quality monitoring, and provides a visual three-dimensional diffusion simulation method and system for organic acid, aiming at the problems that museum users are difficult to perceive organic acid gas in air, the monitoring cost is high and hardware deployment is difficult. An improved multi-parameter look-up table method and a trapezoidal numerical integration method are innovatively applied to calculate the cumulative corrosion exposure amount of the current week, and the cultural relic health index is calculated; and finally, jointly mapping the cultural relic health index and the current-week accumulated corrosion exposure into a corrosion risk level, generating an organic acid corrosion risk level thermodynamic diagram through a three-dimensional simulation engine, and triggering an adjustment mechanism. Compared with the prior art, the organic acid gas monitoring cost is reduced, meanwhile, the visualization degree of organic acid monitoring and cultural relic health degree evaluation is improved, and the method is suitable for full museum exhibition halls, bronze ware showcases, painting and calligraphy storerooms and other scenes.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of air quality monitoring, and particularly relates to a visualized three-dimensional diffusion simulation method and system for organic acids. BACKGROUND

[0002] Museum indoor air pollutants are various, including organic acids, inorganic acids, volatile organic compounds, ozone, ammonia, etc. Among these pollutants, gaseous organic acids are particularly worth attention, including formic acid, acetic acid, oxalic acid, etc., which are mainly derived from old decoration materials, tourist exhaled air, sebum evaporation and chemical cleaning agents. When organic acids contact with cultural relics surfaces, they will cause serious corrosion problems: copper, silver and other metal cultural relics will generate carboxylate to cause rust; paper and textiles will become brittle and discolored due to cellulose hydrolysis; carbonate components in stone and murals will be dissolved and peeled off. This long-term cumulative corrosion effect often causes irreversible damage to cultural relics.

[0003] Currently, there are three main types of monitoring technologies for organic acids: one is computational fluid dynamics simulation technology, namely CFD simulation technology, which simulates the three-dimensional diffusion of organic acids through computational fluid dynamics to generate concentration distribution cloud maps. Common commercial tools include ANSYS Fluent fluid simulation software and COMSOL multi-physical simulation; two is that some museums use gas chromatograph mass spectrometer, proton transfer reaction mass spectrometer and other equipment to monitor the concentration of organic acids and generate risk heat maps; three is that in recent years, foreign scholars are trying to integrate CFD simulation and artificial intelligence for simulation monitoring, using LSTM, convolutional neural network and other algorithms to correct simulation errors, or using reduced order model ROM to accelerate calculation.

[0004] However, the existing technology still has two major problems: one is that users have difficulty in perception. The existing heat map is based on single or periodic sampling data, only provides transient or steady-state concentration distribution, and cannot reflect the cumulative effect of pollutant concentration over time, and lacks intuitive display and dynamic warning of cultural relic corrosion rate, making it difficult for users to perceive, and there are few mature solutions on the market that can achieve dynamic monitoring of cultural relic corrosion; two is high cost and difficult hardware deployment. The annual fee of professional CFD simulation software such as ANSYS has exceeded 100,000 US dollars, the procurement and maintenance cost of gas chromatograph mass spectrometer and other equipment is expensive, and professional personnel are needed for frequent calibration; CFD transient simulation and AI training require high-performance computing clusters and servers equipped with professional graphics cards for support, and a large database needs to be built, which has a high application threshold for small and medium-sized museums.

[0005] Therefore, it is an urgent need in the current cultural relic protection field to develop a low-cost, lightweight and visualized three-dimensional diffusion simulation method for organic acids. SUMMARY

[0006] The application aims to provide a visual three-dimensional diffusion simulation method and system of organic acid, so as to solve the technical problems of difficult perception of organic acid gas in the air, high monitoring cost and difficult hardware deployment in the prior art.

[0007] In order to achieve the above-mentioned purpose, the application proposes the following technical solutions:

[0008] In a first aspect, the technical solution provides a visual three-dimensional diffusion simulation method of organic acid, which is used for monitoring and simulating organic acid gas in indoor air of an exhibition hall, and includes the following steps:

[0009] S1: deploying a distributed sensor in the exhibition hall, collecting the concentration of organic acid, temperature and humidity of the current environment, and transmitting the collected sensor data to an edge computing node;

[0010] S2: performing moving average filtering on the sensor data by the edge computing node, and uploading the data after compression and packaging to a server;

[0011] S3: mapping the concentration of organic acid, temperature and humidity at the current time to the instantaneous corrosion rate of cultural relics by an improved multi-parameter lookup table method, and caching the instantaneous corrosion rate as an instantaneous corrosion rate sequence according to time;

[0012] S4: reading the instantaneous corrosion rate sequence, using the trapezoidal numerical integration method to calculate the cumulative corrosion exposure of the current week with the current time as the endpoint and the previous 7 days as the starting point;

[0013] S5: calling the instantaneous corrosion rate and the cumulative corrosion exposure of the current week at the same time, and calculating the cultural relic health index by comprehensively considering the temperature, humidity and cultural relic material sensitivity coefficient;

[0014] S6: mapping the cultural relic health index and the cumulative corrosion exposure of the current week to the red, yellow and green three-level corrosion risk level, and generating an organic acid corrosion risk level heat map through a three-dimensional simulation engine; triggering the sensor audible and light alarm, SMS reminder or automatically starting the showcase micro-environment regulation system according to the corrosion risk level.

[0015] Specifically, in S1, the distributed sensor includes an organic acid sensor and an environmental parameter sensor, wherein the organic acid sensor is used to collect the concentration of formic acid and acetic acid in the air, and filter large molecular interferents through a filter device; the environmental parameters include temperature, humidity and air flow speed. This step collects organic acid and environmental data through sensors, providing comprehensive data sources for subsequent corrosion rate calculation and risk assessment.

[0016] Further, the filter device is a filter membrane and activated carbon device arranged at the air inlet or inside the organic acid sensor; the macromolecular interferents include formaldehyde, ethanol and toluene. Since macromolecular interferents such as formaldehyde and ethanol can cross interfere with organic acids in the air, affecting the sensitivity and selectivity of the sensor, the filter device can reduce the influence on the measurement results of the organic acids and enhance the reliability of the system.

[0017] Specifically, in S2, the moving average filtering refers to weighted average of data in a sliding time window to suppress random noise, make the data smoother, and improve the quality and stability of the data; the sliding time window is adjustable, ranging from 1 to 30 seconds. In this way, the flexibility and adaptability of the present application are increased, and it can be adjusted according to different monitoring needs.

[0018] Further, in S2, the data compression and packaging steps are as follows:

[0019] S21: fixing each data frame to 14 bytes;

[0020] S22: using an offline trained static Huffman code table to compress each data frame twice;

[0021] S23: after compression, the data is uploaded in batches through MQTT-SN over UDP message, and the edge node triggers sending once every 30 seconds or when the cache is full 1kB;

[0022] S24: after data compression and packaging, the data is uploaded to the server.

[0023] Data compression and packaging can reduce data transmission volume, improve data transmission efficiency, and also facilitate subsequent processing of the data by the server.

[0024] Specifically, in S3, the steps of calculating the instantaneous corrosion rate by the improved multi-parameter lookup table method are as follows:

[0025] S31: receiving sensor data, including organic acid concentration, temperature, humidity; receiving artifact material types, including bronze, paper, stone and textiles, and finding the corresponding material corrosion rate pre-stored reference table.

[0026] S32: checking whether the organic acid concentration, temperature and humidity of the current environment are within the pre-stored reference table range:

[0027] S321: if within the reference table range, enter the dynamic interpolation lookup table process, and adopt three-linear interpolation, and the calculation formula of the instantaneous corrosion rate R is as follows:

[0028] , weight normalization: ,

[0029] wherein R represents the instantaneous corrosion rate of the cultural relic, in units of pm / y; Ri represents the corrosion rate of the ith vertex in the reference table, in units of pm / y; w represents the weight i Determined by the current environmental parameters in the position of the pre-stored reference table:

[0030]

[0031] wherein w represents the weight, unitless; di represents the normalized distance of the current environmental parameters to each vertex, unitless; e represents the smoothing factor, unitless; HA i i i i respectively represent the organic acid concentration, temperature and humidity values of the ith vertex in the reference table, in units of ppm, °C and %, respectively; AH A, AT and ARH respectively represent the step sizes of the organic acid concentration, temperature and humidity in the reference table, in units of ppm, °C and %, respectively; This has the advantage that the corrosion rate can be calculated according to different parameter risk levels and material characteristics, improving the accuracy and adaptability of the corrosion rate calculation.

[0032] S322: If the reference table range is exceeded, trigger model compensation extrapolation, and call the simplified physical model to calculate the corrosion rate; the formula for calculating the instantaneous corrosion rate R by the simplified physical model is as follows:

[0033]

[0034] wherein R represents the instantaneous corrosion rate of the cultural relic, in units of pm / y; Rmax represents the corrosion rate corresponding to the maximum boundary of the parameters in the reference table, in units of pm / y; HAmax and RHmax respectively represent the upper limits of the organic acid concentration and humidity parameters in the reference table, in units of ppm and %, respectively; n represents the material-related organic acid concentration sensitivity index, k represents the humidity influence coefficient, and a represents the material compensation factor, all of which are dimensionless;

[0035] S33: Output the corrosion rate value;

[0036] ​​​The improved multi-parameter table lookup method refers to the requirements of the standards of JGJ 66-2015 Museum Building Design Specification, WH / T 24-2006 Library Ancient Book Special Collection Library Basic Requirements, and DB4403_T 565-2024 Exhibition and Display Indoor Environment Air Pollutant Control Technical Specification for the control of organic acid and humidity of cultural relics. Compared with the complex model used by the existing CFD simulation tool, the dynamic interpolation lookup table presets the corrosion rate corresponding to different materials, and has high calculation efficiency; the model compensation extrapolation calculates the corrosion rate by simplifying the physical model, ensuring the integrity and continuity of the calculation, and avoiding calculation failure caused by data out of range; the combination of the two can reduce hardware resource consumption, deployment cost and complexity on the basis of ensuring the calculation efficiency and reliability of the corrosion rate.

[0037] Specifically, in the S4, the trapezoidal numerical integration method refers to taking the current time as the end point and the previous 7 days as the starting point, sampling the organic acid concentration data according to the sampling interval and calculating the weekly cumulative corrosion exposure. The calculation formula of the weekly cumulative corrosion exposure D(t) is as follows:

[0038]

[0039] Where i is an integer, representing the i-th sampling point in the time series, Ci represents the organic acid concentration of the i-th sampling; Δt represents the sampling time interval of 5 minutes; when the concentration changes more than 0.1 ppm per minute, the sampling interval is shortened to 1 minute.

[0040] Further, the S3 cultural relic material includes bronze ware, paper cultural relics, stone cultural relics and textile cultural relics, according to GB / T 30688-2014 Museum Collection Bronze Ware Disease and Diagram, WW / T 0067-2015 Paper Cultural Relics Preventive Protection Specification, WW / T 0002-2007 Stone Cultural Relics Disease Classification and Diagram, and GB / T 30236-2013 Textile Cultural Relics Protection Technical Specification, the annual threshold of cultural relic corrosion rate is: bronze 10 ppm·h / year, paper 5 ppm·h / year, stone 20 ppm·h / year, and textile 3 ppm·h / year. In this way, the types and corrosion rate annual thresholds of specific material cultural relics are determined, providing specific reference standards for subsequent corrosion risk assessment.

[0041] Specifically, the calculation formula of the cultural relic health index H in the S5 is:

[0042]

[0043] Wherein Rc is the normalized instantaneous corrosion rate, ranging from 0 to 100; Dc is the cumulative exposure ratio; Ee is the environmental humidity fluctuation coefficient; Mm is the material sensitivity coefficient; and a, b, and g are the weight coefficients corresponding to the normalized instantaneous corrosion rate, the cumulative exposure ratio, and the environmental humidity fluctuation coefficient, respectively. This step refers to the index requirements for organic acids, temperature, and humidity in the museum preservation environment in “WW / T 0016.1-2023 Museum Collection Preservation Environment Quality Part 1: Index Requirements”, and combines the requirements for the preservation environment of collections in Chapter 6 of “JGJ 66-2015 Museum Environment Quality Control Guide” issued by the State Administration of Cultural Heritage, to design the weight distribution principle of the health index H. By comprehensively considering the instantaneous corrosion rate, the cumulative exposure ratio, and the environmental humidity fluctuation coefficient, a scientific and quantitative basis is provided for the evaluation of the health of cultural relics, making the evaluation of the health of cultural relics more objective and accurate, and facilitating users to take appropriate protective measures based on the health of cultural relics.

[0044] Specifically, in S6, the corrosion risk level of cultural relics is divided into red, yellow, and green, wherein red represents high risk, i.e., the health index H of cultural relics is less than or equal to 70 or the weekly cumulative exposure is greater than 30% of the annual threshold; yellow represents ordinary risk, i.e., the health index 70 < H ≤ 85 and the weekly cumulative exposure is less than or equal to 30% of the annual threshold; and green represents no risk, i.e., the health index H of cultural relics is greater than 85 and the weekly cumulative exposure is less than or equal to 5% of the annual threshold.

[0045] Specifically, the corrosion risk level triggering measures specifically include:

[0046] High risk, triggering a sensor sound and light alarm and immediately sending a signal to start the showcase micro-environment regulation system;

[0047] Ordinary risk, sending a text message to the administrator;

[0048] No risk, normal.

[0049] The corrosion risk level of cultural relics is visually distinguished by color, allowing users to quickly and intuitively understand the corrosion risk status of cultural relics and take appropriate protective measures in a timely manner, thereby addressing the technical deficiencies of traditional users in monitoring and perceiving the organic acid and corrosion conditions of cultural relics in the exhibition hall.

[0050] In a second aspect, the technical solution also provides a visual three-dimensional diffusion simulation system for organic acids, which includes a distributed sensor, an edge computing node, and a server.

[0051] The distributed sensor is arranged in the exhibition hall indoor, and is used for collecting the concentration of organic acid, temperature and humidity of the current environment; the distributed sensor comprises an organic acid sensor and an environmental parameter sensor; wherein the organic acid sensor has a range of 0-5ppm, an accuracy of ≤±0.03ppm, a cross-sensitivity of ≤3% to ethanol / formaldehyde, and a response time of ≤30 seconds, so as to ensure that the sensor can meet the high-precision and high-sensitivity measurement requirements of the above method on the organic acid and the environmental parameters; the environmental parameter sensor comprises a temperature sensor and a humidity sensor;

[0052] The edge computing node is used for mobile average filtering of the sensor data, data compression and packaging, and uploading of the sensor data to the server;

[0053] The server comprises a three-dimensional simulation engine and a user interaction module, wherein the user interaction module comprises a cumulative exposure amount query module, an artifact corrosion early warning module and an artifact health degree query module:

[0054] The cumulative exposure amount query module is used for querying the cumulative corrosion exposure amount of the artifact in the current week;

[0055] The artifact health degree query module is used for querying the artifact health index of the artifact;

[0056] The artifact corrosion early warning module is used for triggering a sensor sound-light alarm, sending a short message to remind an administrator or automatically starting a showcase micro-environment adjusting system according to the artifact corrosion risk level.

[0057] Beneficial effects:

[0058] It can be known from the above technical solution that the technical solution of the present application provides a visual three-dimensional diffusion simulation method and system for organic acid gas in the air in the exhibition hall indoor, so as to solve the technical defects of difficult user perception, high monitoring cost and difficult hardware deployment in the prior art.

[0059] 1. In terms of user perception, the present application realizes the calculation of the corrosion rate by using an improved multi-parameter lookup table method, realizes the calculation of the cumulative exposure amount of the organic acid by using the trapezoidal numerical integration method, and realizes the quantitative perception of the health state of the artifact by using the artifact health index. In view of the problem of difficult perception of the organic acid in the past, a scheme for intuitive display and dynamic early warning of the health state of the artifact can be provided to the user, so as to make up for the technical defect of difficult user perception in the prior art.

[0060] 2、In terms of monitoring cost, the application innovatively uses an improved multi-parameter table lookup method to improve the corrosion rate calculation speed by pre-setting the corrosion rate corresponding to different materials; and a thermal map display of the organic acid corrosion risk level is realized through a three-dimensional simulation engine, further reducing the software cost. Compared with the current mainstream CFD simulation software and complex models such as gas chromatography mass spectrometry, the hardware resources consumed by the application are less, the cost is lower, and it is more suitable for small and medium-sized museum users.

[0061] 3、In terms of hardware deployment, the traditional way of using CFD transient simulation and AI training requires a high-performance computing cluster and a server equipped with a professional graphics card, and a large database needs to be built, which has a high application threshold for small and medium-sized museums. The application improves the traditional corrosion rate calculation method and forms an improved multi-parameter table lookup method, which reduces the cost of instantaneous calculation through dynamic interpolation table lookup and model compensation extrapolation, while ensuring the completeness and continuity of the calculation. On the basis of ensuring the corrosion rate calculation efficiency and reliability, this calculation method can reduce hardware resource consumption, deployment cost and complexity.

[0062] It should be understood that all combinations of the aforementioned concepts and additional concepts described in greater detail below can be seen as part of the subject matter of the present disclosure, as long as such concepts do not contradict each other.

[0063] The foregoing and other aspects, embodiments and features of the present teachings can be more fully understood from the following description taken in conjunction with the accompanying drawings. Other aspects, embodiments and features of the present teachings will be apparent from the description that follows, and from the claims. BRIEF DESCRIPTION OF DRAWINGS

[0064] The drawings are not drawn to true scale. In the drawings, like reference numerals can be used to indicate like parts throughout the various figures. For the purposes of clarity, not every component can be called out in every drawing. There will now be described, by way of example, embodiments of various aspects of the application. The following description is provided with reference to the accompanying drawings, of which:

[0065] Figure 1 Flow chart of the organic acid visual three-dimensional diffusion simulation method described in the present embodiment;

[0066] Figure 2 Flow chart of the corrosion rate calculation based on the improved multi-parameter table lookup method of the present embodiment;

[0067] Figure 3 Structure block diagram of the organic acid visual three-dimensional diffusion simulation system described in the present embodiment. DETAILED DESCRIPTION

[0068] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the embodiments of the present application will be described clearly and completely below in conjunction with the drawings of the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the described embodiments of the present application, all other embodiments obtained by a person of ordinary skill in the art without any inventive effort fall within the scope of protection of the present application. Unless otherwise defined, the technical terms or scientific terms used herein should have the usual meanings understood by those skilled in the art.

[0069] The terms "first", "second", and similar terms used in the patent application specification and claims of the present application do not represent any order, quantity, or importance, but are only used to distinguish different components. Similarly, unless the context clearly indicates otherwise, the singular forms "a", "an", or "the" and the like do not represent a quantity limitation, but represent the existence of at least one. The terms "include" or "contain" and the like mean that the elements or objects appearing before "include" or "contain" cover the features, integers, steps, operations, elements, and / or components listed after "include" or "contain", and do not exclude the existence or addition of one or more other features, integers, steps, operations, elements, components, and / or sets thereof. "Up", "down", "left", "right", and the like are only used to represent relative positional relationships, and when the absolute positions of the described objects change, the relative positional relationships may also change accordingly.

[0070] The monitoring of indoor organic acid gases such as formic acid and acetic acid in a museum is an important part of cultural relic protection. Organic acid gases can accelerate metal corrosion, paper acidification, and textile brittleness and discoloration. Long-term cumulative corrosion causes irreversible damage to cultural relics. The existing technology relies on CFD simulation software, gas chromatography-mass spectrometry, and the like, and has technical problems such as difficulty for users to perceive organic acids, high monitoring cost, and difficulty in deploying hardware. Based on this, the embodiments aim to provide a visual three-dimensional diffusion simulation method and system for organic acids to simultaneously solve the above technical problems.

[0071] A visual three-dimensional diffusion simulation method for organic acids according to the embodiments will be described in detail below in conjunction with the drawings.

[0072] In conjunction with Figure 1 As shown in the drawings, the method comprises:

[0073] S1: deploying a distributed sensor in a museum room, collecting the organic acid concentration, temperature, and humidity of the current environment, and transmitting the collected sensor data to an edge computing node;

[0074] S2: Mobile average filtering of sensor data by edge computing node, data compression and packaging after uploading to the server;

[0075] S3: The current moment of organic acid concentration, temperature and humidity are mapped to the instantaneous corrosion rate of cultural relics by improved multi-parameter lookup table method, and the instantaneous corrosion rate is cached as an instantaneous corrosion rate sequence according to time;

[0076] S4: Read the instantaneous corrosion rate sequence, take the current moment as the end point, and use the trapezoidal numerical integration method to calculate the cumulative corrosion exposure of the week from the beginning of the previous 7 days;

[0077] S5: Call the instantaneous corrosion rate at the same time and the cumulative corrosion exposure of the week, and integrate the temperature, humidity and cultural relics material sensitivity coefficient to calculate the cultural relics health index;

[0078] S6: Map the cultural relics health index and the cumulative corrosion exposure of the week to the red, yellow and green three-level corrosion risk level, and generate an organic acid corrosion risk level heat map through a three-dimensional simulation engine; according to the corrosion risk level, trigger the sensor audible and light alarm, SMS reminder or automatically start the showcase micro-environment adjustment system.

[0079] Specifically, the method divides the indoor area of the exhibition hall into key areas and auxiliary areas, and deploys different numbers of distributed sensors in each area. The key area is an area that needs to be monitored, and the auxiliary area is an area that needs to be monitored.

[0080] Specifically, the embodiment takes a museum exhibition hall as an example to illustrate the options and deployment of distributed sensors.

[0081] In this embodiment, the key area is an area where the stored cultural relics are sensitive to material, the cultural relics are of high national grade, or the tourist flow is large and easy to introduce pollutants, including bronze exhibit showcases, ancient literature exhibition halls, silk textile display areas, and other key cultural relic display areas. Deploy 1 node every 5-10 square meters in the key area, and the data sampling frequency is 1 time / minute.

[0082] The auxiliary area is an area where the stored cultural relics are corrosion-resistant, cultural relics replicas or temporary exhibition areas, and well-ventilated edge areas, including stone carving corridors, tourist rest areas, equipment rooms, etc. Deploy 1 node every 20-30 square meters in the auxiliary area, and the data sampling frequency is 1 time / 5 minutes.

[0083] Further, the sensor for collecting organic acid has a range of 0-5 ppm, an accuracy of ≤±0.03 ppm, a cross-sensitivity of ≤3% to ethanol / formaldehyde, and a response time of ≤30 seconds; the selection is to ensure that the sensor can meet the high-precision and high-sensitivity measurement requirements of the application for organic acid and environmental parameters; in this embodiment, the GASS-3000 series electrochemical sensor is selected as the organic acid sensor for use in the key area to meet the above-mentioned high-precision collection requirements; the CHEMS-100 series electrochemical sensor is selected as the organic acid sensor for use in the auxiliary area, which can meet the above-mentioned parameters, and compared with the GASS-3000 series, it has a lower cost to achieve economic coverage; it should be noted that due to the influence of factors such as electrolyte evaporation, temperature and humidity, the measurement value and sensitivity of the organic acid electrochemical sensor will have a small range of drift, therefore, the above-mentioned electrochemical sensor also needs to be calibrated once every 3-6 months to ensure the measurement accuracy and sensitivity.

[0084] Further, the environmental parameter sensor includes a temperature sensor and a humidity sensor; in this embodiment, the ENV-TH1 series temperature and humidity sensor is selected, one set is deployed in the key area every 10 m2, and one set is deployed in the auxiliary area every 30 m2 to achieve global coverage.

[0085] Further, the organic acid sensor is used to collect the content of formic acid and acetic acid in the air, and a filter device is used to filter macromolecular interferents; the environmental parameter sensor is used to collect temperature, humidity and air flow speed; the organic acid and environmental data collected by the sensor provide a comprehensive data source for subsequent corrosion rate calculation and risk assessment.

[0086] Further, in this embodiment, the filter device is a filter membrane and an activated carbon device arranged at the air inlet or inside the organic acid sensor; the macromolecular interferents include formaldehyde, ethanol and toluene. Since macromolecular interferents such as formaldehyde and ethanol can cross interfere with organic acid in the air, affecting the sensitivity and selectivity of the sensor, by arranging the filter device, the influence of the macromolecular interferents on the measurement result of the organic acid can be reduced, and the reliability of the system is enhanced.

[0087] Specifically, in S2, the moving average filtering refers to weighted average of data in a sliding time window to suppress random noise, make the data more smooth, and improve the quality and stability of the data; the sliding time window is adjustable, and the range is 1-30 seconds. In this way, the flexibility and adaptability of the application are increased, and it can be adjusted according to different monitoring requirements.

[0088] Further, the embodiment adopts edge computing single node computing power ≥ 1GOPS, realizes real-time filtering and compression of sensor data; power consumption ≤ 2W, because part of the showcase has no external power supply, relies on battery power supply; at least 2-way UART + 1-way SPI, supports connection of organic acid, temperature and humidity sensor; because the museum has constant temperature but may have dust accumulation in the equipment cabinet, its working temperature is between -10℃~50℃, dustproof. The embodiment adopts the CMS32 series of Xilinx and the ESP32 series of LoongX computing node.

[0089] Further, in S2, the data compression and packaging steps are as follows:

[0090] S21: fix each data frame to 14 bytes;

[0091] S22: use the offline trained static Huffman code table for secondary compression of each data frame;

[0092] S23: after compression, the data is uploaded in batches through MQTT-SN over UDP message, and the edge node triggers sending once every 30s or when the cache is full 1kB;

[0093] S24: after data compression and packaging, upload the data to the server.

[0094] Data compression and packaging can reduce data transmission volume, improve data transmission efficiency, and also facilitate subsequent processing of data by the server.

[0095] In combination with Figure 2 The improved multi-parameter table lookup method is used to map the current moment organic acid concentration, temperature and humidity to the instantaneous corrosion rate of cultural relics, and the steps are as follows:

[0096] S31: receive sensor data, including organic acid concentration, temperature, humidity; receive cultural relic material type, including bronze ware, paper, stone and textile, and find the corresponding material corrosion rate pre-stored reference table.

[0097] S32: check whether the current environment organic acid concentration, temperature and humidity are within the pre-stored reference table range:

[0098] S321: if within the reference table range, enter the dynamic interpolation table lookup process, adopt three linear interpolation, and the calculation formula of instantaneous corrosion rate R is as follows:

[0099] weight normalization: ,

[0100] Wherein, R represents the instantaneous corrosion rate of cultural relics, unit μm / y; Ri represents the corrosion rate of the i-th vertex in the reference table, unit μm / y; weight w iDetermined by the current environmental parameters in the position of the pre-stored reference table:

[0101]

[0102] wherein w i represents the weight, unitless; di represents the normalized distance of the current environmental parameters to each vertex, unitless; e represents the smoothing factor, unitless; HA i , T i , RH i respectively represent the organic acid concentration, temperature and humidity values of the i-th vertex in the reference table, with units of ppm, °C and %, respectively; ΔHA, ΔT, ΔRH respectively represent the step size of the organic acid concentration, temperature and humidity in the reference table, with units of ppm, °C and %; This has the advantage of being able to calculate the corrosion rate according to different parameter risk levels and material characteristics, improving the accuracy and adaptability of corrosion rate calculation.

[0103] Further, taking the corrosion rate calculation of bronze ware as an example, the environmental parameters are as follows:

[0104] Organic acid concentration HA = 0.07 ppm (no direct data in the table, between 0.05 and 0.1 ppm)

[0105] Temperature T = 22°C (between 20 and 25°C)

[0106] Humidity RH = 60% (between 50% and 70%)

[0107] Reference table data (bronze ware corrosion rate, unit μm / y),

[0108] According to the requirements of "GB / T 16545-2015 Metal Corrosion Rate Determination Method", "GB / T 30688-2014 Museum Bronze Ware Disease and Diagram", "WW / T 0066-2015 Museum Artifact Preservation Environment Monitoring Specification" for bronze ware corrosion rate and organic acid concentration, temperature and humidity, the pre-stored reference table for bronze ware corrosion rate is as follows: Number Organic acid concentration H Appm Temperature T °C Humidity RH % Corrosion rate Ri 1 0.05 20 50 0.08 2 0.05 20 70 0.12 3 0.05 25 50 0.10 4 0.05 20 70 0.15 5 0.10 20 50 0.15 6 0.10 20 70 0.20 7 0.10 25 50 0.18 8 0.10 25 70 0.25

[0109] First, calculate the normalized distance of the environmental parameters to each vertex, i.e. step size ΔHA = 0.05 ppm, ΔT = 5°C, ΔRH = 20%, substitute into the formula:

[0110] ,

[0111] Similarly, calculate other di, d2 = 0.70, d3 = 0.85, … d8 = 0.65;

[0112] Then take the smoothing factor e = e -6 , the weight is calculated:

[0113]

[0114] The weighted average corrosion rate R is calculated:

[0115]

[0116] S33: Output the instantaneous corrosion rate of bronze ware under this environment is 0.14 μm / y.

[0117] S322: If it exceeds the range of the reference table, trigger model compensation extrapolation, and call the simplified physical model to calculate the corrosion rate; the formula for calculating the instantaneous corrosion rate R by the simplified physical model is as follows:

[0118]

[0119] Where R represents the instantaneous corrosion rate of cultural relics, unit μm / y, Rmax represents the corrosion rate corresponding to the maximum boundary of the parameters in the reference table, unit μm / y; HAmax and RHmax represent the upper limit of the concentration of organic acid and humidity in the reference table, respectively, units are ppm and %;

[0120] In addition, n represents the material-related organic acid concentration sensitivity index, k represents the humidity influence coefficient, and a represents the material compensation factor, all of which are dimensionless; according to the requirements of GB / T 16545-2015 Metal Corrosion Rate Determination Method, GB / T 30688-2014 Museum Bronze Ware Disease and Diagram, and WW / T 0066-2015 Museum Collection Preservation Environment Monitoring Specification for cultural relics corrosion rate and organic acid concentration, temperature and humidity, the specific parameters are as follows: Material type Organic acid concentration sensitivity index n Humidity influence coefficient k Material compensation factor Bronze 0.9 0.05 1.0 Paper 1.2 0.08 1.3 Stone 0.5 0.03 0.7 Textile 1.0 0.10 1.1

[0121] Further, taking the corrosion rate of bronze ware as an example, the environmental parameters are as follows:

[0122] Organic acid concentration HA = 6 ppm

[0123] Temperature T = 25°C

[0124] Humidity RH = 65%

[0125] According to the above table, the material-related organic acid concentration sensitivity index n of bronze ware is 0.9, the humidity influence coefficient k is 0.05, and the material compensation factor a is 1.0,

[0126] Because the organic acid concentration exceeds the maximum value 5 ppm of the reference table, the model compensation extrapolation is triggered:

[0127] First, calculate the acid concentration correction term:

[0128]

[0129] Then calculate the humidity correction term:

[0130]

[0131] Integrate the extrapolated corrosion rate:

[0132]

[0133] S33: Output the instantaneous corrosion rate of bronze ware in this environment is.83μm / y.

[0134] The improved multi-parameter table lookup method refers to the requirements of the standards for the control of organic acids and humidity of cultural relics in the Design Specification for Museum Buildings (JGJ 66-2015), Basic Requirements for Special Collection Libraries of Ancient Books in Libraries (WH / T 24-2006), and Technical Code for Indoor Environmental Air Pollutant Control in Exhibition and Display (DB4403 / T 565-2024). Compared with the complex model used by existing CFD simulation tools, the dynamic interpolation table lookup presets the corrosion rate corresponding to different materials, which is more efficient. The model compensation extrapolation calculates the corrosion rate by simplifying the physical model, ensuring the completeness and continuity of the calculation, and avoiding calculation failure due to data out of range. The combination of the two can reduce hardware resource consumption, deployment cost, and complexity while ensuring the efficiency and reliability of corrosion rate calculation.

[0135] Further, the S3 Chinese cultural relics material includes bronze ware, paper relics, stone relics, and textile relics, according to the Disease and Diagram of Bronze Ware in Collection (GB / T 30688-2014), Preventive Protection Specification for Paper Relics (WW / T 0067-2015), Classification and Diagram of Stone Relics Disease (WW / T 0002-2007), and Technical Specification for Textile Relics Protection (GB / T 30236-2013), the annual threshold of cultural relics corrosion rate is: bronze 10ppm·h / year, paper 5ppm·h / year, stone 20ppm·h / year, and textile 3ppm·h / year. This clearly defines the types and annual threshold of corrosion rate of specific material cultural relics, providing specific reference standards for subsequent corrosion risk assessment.

[0136] Specifically, in S4, the trapezoidal numerical integration method refers to taking the current time as the end point and tracing back 7 days as the starting point, sampling the organic acid concentration data according to the sampling interval and calculating the weekly cumulative corrosion exposure D(t) with a unit of ppm·h. The calculation formula of the weekly cumulative corrosion exposure D(t) is as follows:

[0137]

[0138] where i is an integer, representing the i-th sampling point in the time series, c i represents the concentration of organic acid at the i-th sampling, unit ppm; Δt represents the sampling interval is 5 minutes; when the concentration changes more than 0.1 ppm per minute, shorten the sampling interval to 1 minute.

[0139] The following examples are taken as paper, to illustrate the calculation process of cumulative exposure of cultural relics:

[0140] At the current time, the museum is closed at the 7th day, and the cumulative corrosion exposure of paper cultural relics in the past 7 days (168 hours) needs to be calculated. The default sampling interval is Δt=5 minutes; the annual threshold of paper cultural relics corrosion rate is 5 ppm·h / year.

[0141] Taking the 20 minutes after the museum opens on the first day as an example, the concentration of organic acid in the air fluctuates once with the influx of tourists within 20 minutes after the museum opens in the morning. The organic acid concentrations at 9:00, 9:05, 9:10, 9:15 and 9:20 are 0.08 ppm, 0.12 ppm, 0.18 ppm, 0.22 ppm and 0.15 ppm respectively. According to the above formula for calculating cumulative exposure, it is calculated in segments:

[0142] 9:00-9:05 period:

[0143] Similarly, every 5 minutes is a time period, and the corresponding exposure is:

[0144] The total cumulative amount in the current 20 minutes is 0.5+0.75+1+0.923=3.175 ppm·min, which is converted to ppm·h=3.175 / 60=0.053 pm·h

[0145] There are 10 times of the above 20 min fluctuation per day, and the total fluctuation time per day is 20 min / time x 10 times=200 min=3.33 hours; the concentration is stable at 0.05 ppm in other periods, and the smooth time is 24h-3.33h=20.67h; then the daily exposure is: 0.053x10+0.05x22.67=1.56pm·h

[0146] The daily exposure is the same, so the weekly cumulative corrosion exposure D(t) is 1.56*7=10.92 ppm·h;

[0147] Compared with the annual threshold of paper cultural relics of 5 ppm·h / year, the cumulative exposure is =10.92 / 5*100%=218.4% of the annual threshold, which is seriously over standard, providing data support for subsequent safety risk warning.

[0148] Specifically, in the S5, the calculation formula of the cultural relic health index H is:

[0149]

[0150] Wherein H is the cultural relic health index, which is defined according to the standards of organic acid, humidity control requirements for cultural relic collections in JGJ 66-2015 Museum Building Design Specification, WH / T 24-2006 Library Ancient Book Special Collection Library Basic Requirements, and DB4403_T 565-2024 Exhibition and Display Indoor Environment Air Pollutant Control Technical Specification, and is used to represent the health degree of cultural relics, which is dimensionless;

[0151] Rc is the normalized instantaneous corrosion rate = instantaneous corrosion rate R / maximum corrosion rate Rmax * 100; Rc ranges from 0 to 100, 0 represents no corrosion, and 100 represents corrosion reaching the maximum value;

[0152] Dc is the cumulative exposure ratio = weekly cumulative corrosion exposure D(t) / annual threshold * 100;

[0153] Ee is the environmental humidity fluctuation coefficient = standard deviation of environmental humidity in the past 1 hour / average value of environmental humidity in the past 1 hour * 100;

[0154] Mm is the material sensitivity coefficient preset according to the type of cultural relics, which is 1.0 for bronze, 1.2 for paper, 0.8 for stone, and 1.1 for textiles;

[0155] α, β, γ are the weight coefficients corresponding to the normalized instantaneous corrosion rate, the cumulative exposure ratio and the environmental fluctuation coefficient respectively, and the coefficients can be adjusted, and the default is 0.4, 0.3 and 0.2.

[0156] The following embodiment takes bronze as an example to illustrate the calculation process of the health degree of cultural relics:

[0157] In this embodiment, the instantaneous corrosion rate is 0.14 μm / y, the maximum corrosion rate is 10 μm / y, and the normalized corrosion rate is = 0.14 / 10 * 100 = 1.4; the weekly cumulative corrosion exposure D(t) is 1.8 ppm·h, the annual threshold is 10 ppm·h / year, and the cumulative exposure ratio = weekly cumulative corrosion exposure D(t) / annual threshold * 100 = 18; the standard deviation of environmental humidity in the past 1 hour is 15%, the average value of environmental humidity in the past 1 hour is 60%, the environmental fluctuation coefficient = 15% / 60% * 100 = 25, the material sensitivity coefficient is 1.0, and the health degree formula is calculated by substituting the values:

[0158]

[0159] Since the system defines the health degree greater than 85 points as no risk, and the normal is improved. If the health degree is lower than 85, it is ordinary risk, and a short message is sent to the administrator.

[0160] This step also refers to the index requirements of organic acids, temperature and humidity in the cultural relic preservation environment in WW / T 0016.1-2023 Quality of Preservation Environment for Collection of Cultural Relics Part 1: Index Requirements, and designs the weight distribution principle of the health index H in combination with the requirements of the collection preservation environment in Chapter 6 of JGJ 66-2015 Museum Environmental Quality Control Guide issued by the State Administration of Cultural Heritage. Through the comprehensive instantaneous corrosion rate, cumulative exposure ratio and environmental humidity fluctuation coefficient, a scientific and quantitative basis is provided for the evaluation of the health degree of cultural relics, making the evaluation of the health condition of cultural relics more objective and accurate, and facilitating users to take appropriate protection measures according to the health degree of cultural relics.

[0161] Specifically, in the S6, the cultural relic corrosion risk level is divided into red, yellow and green, wherein red represents high risk, that is, the cultural relic health index H≤70 or the weekly cumulative exposure amount>30% of the annual threshold; yellow represents ordinary risk, that is, the cultural relic health index 70<H≤85 and the weekly cumulative exposure amount≤30% of the annual threshold; green represents no risk, that is, the cultural relic health index H>85 and the weekly cumulative exposure amount≤5% of the annual threshold; and the risk level triggering measure comprises:

[0162] High risk, triggering sensor sound and light alarm and immediately sending a signal to start the showcase micro-environment regulation system;

[0163] Ordinary risk, sending a short message to remind the administrator;

[0164] No risk, normal.

[0165] This step also refers to the index requirements of organic acids, temperature and humidity in the cultural relic preservation environment in WW / T 0016.1-2023 Quality of Preservation Environment for Collection of Cultural Relics Part 1: Index Requirements, and designs the threshold of the cultural relic health index in combination with the requirements of the collection preservation environment in Chapter 6 of JGJ 66-2015 Museum Environmental Quality Control Guide issued by the State Administration of Cultural Heritage. The cultural relic corrosion risk level is intuitively distinguished by color, so that users can quickly and intuitively understand the corrosion risk condition of cultural relics, and facilitate timely take appropriate protection measures, which makes up for the technical defects of traditional users in monitoring and perceiving the organic acid and cultural relic corrosion in the exhibition hall.

[0166] In combination with Figure 3 As shown in the embodiment, the embodiment also provides a visual three-dimensional diffusion simulation system of organic acid, which comprises a distributed sensor, an edge computing node and a server.

[0167] The distributed sensor is arranged in the exhibition hall indoor to collect the concentration of organic acid, temperature and humidity of the current environment; the distributed sensor comprises an organic acid sensor and an environmental parameter sensor; wherein the organic acid sensor has a range of 0-5ppm, an accuracy of ≤±0.03ppm, a cross-sensitivity of ≤3% to ethanol / formaldehyde and a response time of ≤30 seconds, so as to ensure that the sensor can meet the high-precision and high-sensitivity measurement requirements of the method on the organic acid and the environmental parameters; the environmental parameter sensor comprises a temperature sensor and a humidity sensor; specifically, in the embodiment, a GASS-3000 series or CHEMS-100 series electrochemical sensor is selected as the organic acid sensor, and an ENV-TH1 series temperature and humidity sensor can meet the above requirements.

[0168] The edge computing node is used for mobile average filtering of the sensor data, data compression and packaging and uploading of the sensor data to the server; specifically, a HiHope CMS32 series or a LoRa ESP32 series computing node is adopted as the edge computing node in the embodiment.

[0169] The server comprises a three-dimensional simulation engine and a user interaction module, wherein the user interaction module comprises a cumulative exposure amount query module, an artifact corrosion early warning module and an artifact health degree query module.

[0170] The cumulative exposure amount query module is used for querying the cumulative corrosion exposure amount of the artifact in the current week.

[0171] The artifact health degree query module is used for querying the artifact health index of the artifact.

[0172] The artifact corrosion early warning module is used for triggering a sensor sound-light alarm, sending a short message to remind an administrator or automatically starting a showcase micro-environment adjusting system according to the artifact corrosion risk level.

[0173] Specifically, one of the Inspur NF5180 series servers is adopted for minimum deployment in the embodiment, and the server supports access to data of 20 organic acid sensors and 50 temperature and humidity sensors, and the server is configured as follows: a CPU Feiteng FT-2000 4-core, 2.0GHz or the same configuration, a memory 16GB DDR4, a storage 1* 480GB SATA SSD + 1* 2TB HDD, a network port 1 Gbps network port; an operating system is a domestic Kirin V10 operating system, and other servers with a configuration not lower than the above requirements are also considered. When the number of sensor nodes increases, the number of servers can be increased to meet the core functions of the organic acid visual three-dimensional diffusion simulation system, including the cumulative exposure amount query, the artifact corrosion early warning and the artifact health degree query.

[0174] Since the system is built based on the method, the system also has the technical advantage of high test accuracy in actual application.

[0175] While the application has been described by way of example with reference to preferred embodiments, it is to be understood that this application is not limited to the embodiments disclosed, but is intended to cover modifications and variations within the spirit and scope of the application. Therefore, the scope of the application is defined not by the detailed description of the preferred embodiments but by the following claims.

Claims

1. A method for visualizing three-dimensional diffusion simulation of organic acids for monitoring and simulation of organic acid gases in the air of an exhibition hall, characterized by, The method comprises the following steps: S1: deploying distributed sensors in the exhibition hall room, collecting the current environment organic acid concentration, temperature and humidity, and transmitting the collected sensor data to the edge computing node; S2: filtering the sensor data by the edge computing node, uploading the data compression and packaging to the server; S3: mapping the current time organic acid concentration, temperature and humidity to the instantaneous corrosion rate of cultural relics by improved multi-parameter table lookup method, and caching the instantaneous corrosion rate as an instantaneous corrosion rate sequence according to time; S4: reading the instantaneous corrosion rate sequence, taking the current time as the end point and the previous 7 days as the starting point, and calculating the weekly cumulative corrosion exposure using the trapezoidal numerical integration method; S5: calling the instantaneous corrosion rate and the weekly cumulative corrosion exposure at the same time, and calculating the cultural relic health index by comprehensively considering the temperature, humidity and cultural relic material sensitivity coefficient; S6: mapping the cultural relic health index and the weekly cumulative corrosion exposure to the red, yellow and green three-level corrosion risk level, and generating an organic acid corrosion risk level heat map through a three-dimensional simulation engine; According to the corrosion risk level, trigger the sensor audible and visual alarm, SMS reminder or automatically start the showcase micro-environment regulation system.

2. The method of visualizing three-dimensional diffusion simulation of organic acids according to claim 1, wherein, In S1, the distributed sensor includes an organic acid sensor and an environmental parameter sensor, wherein the organic acid sensor is used to collect the concentration of formic acid and acetic acid in the air, and the filter device is used to filter macromolecular interferents; the environmental parameters include temperature, humidity and air flow speed.

3. The method of visualizing three-dimensional diffusion simulation of organic acids according to claim 1, wherein, In S2, the moving average filtering refers to weighted average of data in the sliding time window to suppress random noise; the sliding time window can be adjusted.

4. The method of visualizing three-dimensional diffusion simulation of organic acids according to claim 1, wherein, In S3, the steps of calculating the instantaneous corrosion rate by improved multi-parameter table lookup method are as follows: S31: receiving sensor data, including organic acid concentration, temperature, humidity; receiving cultural relic material type, including bronze, paper, stone and textiles, and finding the corresponding material corrosion rate pre-stored benchmark table; S32: checking whether the current environment organic acid concentration, temperature and humidity are within the pre-stored benchmark table range: If within the benchmark table range, enter the dynamic interpolation table lookup process, adopt three linear interpolation, and the calculation formula of instantaneous corrosion rate R is as follows: ， ， ， wherein R represents the instantaneous corrosion rate of the cultural relic, Ri represents the corrosion rate of the i-th vertex in the reference table, and the weight w i is determined by the current environmental parameters in the position of the pre-stored reference table, di represents the normalized distance of the current environmental parameters to each vertex, e represents a smoothing factor, and HA i i i respectively represent the organic acid concentration, temperature and humidity value of the i-th vertex in the reference table, and ΔHA, ΔT and ΔRH respectively represent the step of the organic acid concentration, temperature and humidity in the reference table;​​ If out of the benchmark table range, trigger model compensation extrapolation, and call the simplified physical model to calculate the corrosion rate; the formula for calculating the instantaneous corrosion rate R by the simplified physical model is as follows: ， Wherein R represents the instantaneous corrosion rate of cultural relics, Rmax represents the corrosion rate corresponding to the maximum boundary of parameters in the benchmark table, HAmax and RHmax represent the upper limit of organic acid concentration and humidity parameters in the benchmark table respectively, n represents the material related organic acid concentration sensitivity index, k represents the humidity influence coefficient, and a represents the material compensation factor; S33: output the instantaneous corrosion rate R.

5. The method of visualizing three-dimensional diffusion simulation of organic acids according to claim 1, wherein, In S4, the trapezoidal numerical integration method refers to sampling the organic acid concentration data according to the sampling interval and calculating the weekly cumulative corrosion exposure D(t) from the current time as the end point and the previous 7 days as the starting point, and the calculation formula of the weekly cumulative corrosion exposure D(t) is as follows: ， Wherein i is an integer, indicating the i-th sampling point in the time series, Ci represents the organic acid concentration of the i-th sampling; Δt represents the sampling time interval is 5 minutes; when the concentration changes more than 0.1 ppm per minute, shorten the sampling interval to 1 minute.

6. The method of visualizing three-dimensional diffusion simulation of organic acids according to claim 1, wherein, The formula for calculating the cultural relic health index H in S5 is: ， Wherein Rc is the normalized instantaneous corrosion rate, ranging from 0 to 100; Dc is the cumulative exposure ratio; Ee is the environmental humidity fluctuation coefficient; Mm is the material sensitivity coefficient; α, β, γ are the weight coefficients corresponding to the normalized instantaneous corrosion rate, cumulative exposure ratio and environmental humidity fluctuation coefficient respectively.

7. The method of visualizing three-dimensional diffusion simulation of organic acids according to claim 1, wherein, In S6, the corrosion risk level is divided into red, yellow and green, wherein red represents high risk, that is, the cultural relic health index H≤70 or the weekly cumulative exposure> 30% of the annual threshold; yellow represents ordinary risk, that is, the cultural relic health index 70<H≤85 and the weekly cumulative exposure≤30% of the annual threshold; green represents no risk, that is, the cultural relic health index H> 85 and the weekly cumulative exposure≤5% of the annual threshold.

8. The method of visualizing three-dimensional diffusion simulation of organic acids according to claim 1, wherein, In S6, the corrosion risk level triggering measures specifically include: High risk, triggering sensor audible and visual alarm and immediately sending a signal to start the showcase micro-environment regulation system; Ordinary risk, sending a short message to remind the administrator; No risk, normal.

9. A visual three-dimensional diffusion simulation system of organic acid, comprising distributed sensors, edge computing nodes and servers, characterized in that: The distributed sensors are deployed in the exhibition hall to collect the current environmental organic acid concentration, temperature and humidity; the distributed sensors include organic acid sensors and environmental parameter sensors; wherein the organic acid sensor has a range of 0-5 ppm, an accuracy of ≤±0.03 ppm, a cross-sensitivity of ≤3% to ethanol / formaldehyde, a response time of ≤30 seconds, and the environmental parameter sensor includes a temperature sensor and a humidity sensor; The edge computing nodes are used for mobile average filtering of sensor data, data compression and packaging, and uploading of sensor data to the server; The server includes a three-dimensional simulation engine and a user interaction module, wherein the user interaction module includes a cumulative exposure query module, a cultural relic corrosion early warning module and a cultural relic health degree query module: The cumulative exposure query module is used to query the weekly cumulative corrosion exposure of cultural relics; The cultural relic health degree query module is used to query the cultural relic health index of cultural relics; The cultural relic corrosion early warning module is used to trigger sensor audible and visual alarm, send a short message to remind the administrator or automatically start the showcase micro-environment regulation system according to the cultural relic corrosion risk level.

Images