System and method for dynamic preservation control based on reference object-based multi-environmental index computation

Abstract

According to the aforementioned means for solving the problem of the present disclosure, by sensing the internal state of a reference object having the same or similar physical properties as the object, the effect of more precisely estimating the temperature deviation and moisture change state occurring inside the object is provided, unlike conventional technology that relied on simple air temperature and humidity values. Furthermore, according to the aforementioned means for solving the problem of the present disclosure, by calculating a plurality of preservation environment indices and analyzing them integrally, the effect of quantifying the risk of physical deformation, the possibility of chemical deterioration, and the risk of biological contamination individually or comprehensively is provided. Accordingly, unlike methods that relied on a single environmental reference value, it enables precise risk assessment reflecting complex factors.

Description

Technology Field

[0001] The present disclosure relates to conservation environment management technology, and specifically, to a reference object-based multiple environmental index calculation and dynamic conservation control system and method that senses the internal state of a reference object having the same or similar physical properties as the target object, calculates a plurality of environmental indices to evaluate environmental risk, and actively controls temperature and humidity conditions based on the results. Background Technology

[0002] Unless otherwise indicated in this specification, the contents described in this section are not prior art for the claims of this application, and are not to be recognized as prior art simply because they are included in this section.

[0003] Hygroscopic objects, such as cultural heritage, artworks, records, wooden structures, paper products, and textiles, are sensitive to changes in the temperature and humidity of the surrounding environment. In particular, changes in temperature and relative humidity alter the moisture equilibrium within these objects, which can lead to various damage factors, including physical deformation such as shrinkage and expansion, chemical deterioration, and mold growth.

[0004] Conventional conservation environment management technologies have primarily relied on simple monitoring devices that measure air temperature and relative humidity within the installation space. While these devices collect indoor environmental values ​​via sensors to display or provide alarms, they have limitations in that they cannot directly reflect changes in moisture or stress conditions occurring within the actual object.

[0005] In particular, it is difficult to accurately estimate temperature deviations or moisture content within an object based solely on the temperature and humidity values ​​of the object's surface or surrounding air. Even when rapid environmental changes occur, conventional technology remains limited to simple numerical display, which restricts the ability to quantitatively assess damage risks in advance or respond proactively.

[0006] Furthermore, while some technologies have implemented protection functions by focusing on specific processes or treatment methods, they have limitations in that they lack a structure that integrates environmental data to calculate risk and link it to control signals. In other words, conventional technologies focus only on environmental measurement and have not extended to dynamic risk assessment and control that reflects changes in the state of the target object.

[0007] Furthermore, the deterioration of preserved objects is determined by complex factors, including not only physical factors but also the rate of chemical degradation and the potential for biological contamination; however, systematic indexation and control structures to comprehensively assess these factors have not been sufficiently proposed. Consequently, it is difficult to accurately predict the actual potential for damage using methods that rely on a single environmental variable or static reference values.

[0008] Due to the limitations of conventional technology, there is a need for technology that can indirectly estimate the internal state of an object by utilizing a reference object having the same or similar physical properties as the object, quantify environmental risk by calculating multiple environmental indices, and actively perform control based on the results. Prior art literature

[0009] 1. Korean Patent Publication No. 10-2017-0034315 (March 28, 2017) 2. Korean Patent Publication No. 10-2024-0104568 (July 5, 2024) The problem to be solved

[0010] The present invention has been devised to solve the problems of the conventional technology described above, and its main objective is to overcome the limitations of static monitoring methods based on simple air temperature and humidity measurements and to provide environmental risk assessment and active control technology capable of reflecting changes in the actual internal state of the object to be preserved.

[0011] In addition, the purpose of the embodiment is to provide a system and method capable of more precisely estimating temperature deviations and moisture change states that may occur inside an object by sensing the deep state of a reference object having the same or similar physical properties as the object.

[0012] In addition, the purpose of the embodiment is to provide an environmental risk assessment structure capable of quantitatively determining in advance the risk of physical deformation, the possibility of chemical deterioration, and the risk of biological contamination by calculating a plurality of preservation environment indices based on temperature and humidity data and comprehensively analyzing the plurality of indices.

[0013] In addition, the embodiment aims to provide a technology capable of early detection of warning signs of damage caused by rapid environmental changes by performing dynamic stability judgment that considers not only the absolute value of environmental variables but also the rate of change over time.

[0014] In addition, the purpose of the embodiment is to provide an active preservation control system capable of ensuring the long-term stability of an object by implementing a dynamic control logic that drives temperature and humidity control means in stages based on the results of a risk assessment.

[0015] In addition, the purpose of the embodiment is to implement a structure in which measurement, analysis, judgment, and control are integrated by organically linking a plurality of preservation environment index calculation units, risk evaluation units, and control units.

[0016] Meanwhile, the technical problems of the present invention are not limited to those mentioned above, and other unmentioned technical problems will be clearly understood by a person skilled in the art from the description below. means of solving the problem

[0017] A system for controlling the preservation environment of an object according to the present disclosure for achieving the technical problem described above may include: a deep sensing unit that detects the internal state of a reference object having the same or similar physical properties as the object; a data collection unit that receives temperature and humidity data collected from the deep sensing unit and an ambient environment sensor; a preservation environment index calculation unit that calculates a plurality of preservation environment indices based on the temperature and humidity data; a risk assessment unit that calculates the risk of damage to the object based on the plurality of preservation environment indices; and a control unit that drives at least one of a temperature control means and a humidity control means according to the risk of damage.

[0018] In addition, the deep sensing unit includes a temperature sensing sensor placed inside a reference object, and the reference object may be formed to have thermal characteristics similar to those of the object.

[0019] In addition, the above-mentioned preservation environment index calculation unit can calculate a plurality of indices based on temperature and humidity data, including a first preservation environment index reflecting the moisture equilibrium state of the object, a second preservation environment index reflecting the possibility of deterioration of the object, a third preservation environment index reflecting the possibility of biological damage, and a fourth preservation environment index reflecting environmental stability.

[0020] In addition, the above-mentioned risk assessment unit can calculate environmental risk by reflecting at least one of the absolute value of a plurality of conservation environment indices and the characteristics of change over time.

[0021] In addition, the control unit may set multiple control modes according to the calculated damage risk and adjust the operating intensity or operating time of the temperature control means and humidity control means according to the set control modes.

[0022] In addition, the control unit may determine that a rapid environmental change occurs when the rate of change of an environmental variable exceeds a reference range, and may perform pre-stabilization control based on the result of the determination.

[0023] In addition, the above system can continuously perform measurement, index calculation, risk assessment, and control.

[0024] Additionally, the control unit is configured to perform an Iso-EMC guide algorithm to calculate a target relative humidity so that the Equilibrium Moisture Content (EMC) inside the object is maintained constant according to the current temperature change, and the Iso-EMC guide algorithm calculates the target relative humidity by referring to a lookup table storing the correspondence relationship between the temperature and the equilibrium moisture content based on the current temperature information and the target equilibrium moisture content, and may be configured to control the operation of a humidification means or a dehumidification means based on the difference between the calculated target relative humidity and the current relative humidity. Effects of the invention

[0025] According to the aforementioned means for solving the problem of the present disclosure, by sensing the internal state of a reference object having the same or similar physical properties as the object, the effect of more precisely estimating the temperature deviation and moisture change state occurring inside the object is provided, unlike the prior art that relied on simple air temperature and humidity values.

[0026] Furthermore, according to the aforementioned means for solving the problem of the present disclosure, by calculating a plurality of conservation environment indices and analyzing them integrally, the effect of quantifying the risk of physical deformation, the possibility of chemical deterioration, and the risk of biological contamination individually or comprehensively is provided. Accordingly, unlike methods that relied on a single environmental standard value, it enables precise risk assessment reflecting complex factors.

[0027] Furthermore, according to the aforementioned means for solving the problem of the present disclosure, by including a dynamic stability judgment structure that considers not only the absolute value of environmental variables but also the characteristics of change over time, it provides the effect of detecting early signs of damage caused by rapid environmental changes, thereby enabling proactive conservation management rather than reactive response.

[0028] In addition, according to the aforementioned means for solving the problem of the present disclosure, by applying a dynamic control logic that drives the temperature and humidity control means in stages based on the risk assessment results, it is possible to provide the effect of maintaining the stability of the object while preventing excessive operation of the environmental control or unnecessary energy consumption.

[0029] Furthermore, according to the aforementioned means for solving the problem of the present disclosure, measurement, computation, risk assessment, and control are linked into a single integrated structure, thereby providing the effect of expanding beyond a simple monitoring system into an active preservation management system. Accordingly, a structure scalable to various preservation objects and application environments can be provided.

[0030] In addition, the aforementioned means for solving the problem of the present disclosure provides significant technical effects in terms of securing the long-term stability of the object, preventing the risk of damage in advance, improving maintenance efficiency, and saving energy.

[0031] The effects obtainable from the exemplary embodiments of the present disclosure are not limited to those mentioned above, and other unmentioned effects can be clearly derived and understood by those skilled in the art to which the exemplary embodiments of the present disclosure belong from the description below. That is, unintended effects resulting from the implementation of the exemplary embodiments of the present disclosure can also be derived by those skilled in the art from the exemplary embodiments of the present disclosure. Brief explanation of the drawing

[0032] FIG. 1 is a diagram showing a reference object-based multiple environment index calculation and dynamic conservation control system according to one embodiment of the present invention. FIG. 2 is a schematic cross-sectional view illustrating the structure of a probe unit according to one embodiment of the present invention. FIG. 3 is a schematic diagram illustrating the state in which a reference object-based preservation environment control system according to an embodiment is applied to an exhibition space. FIG. 4 is a diagram showing the data processing configuration of a system for controlling the preservation environment of an object according to an embodiment. FIG. 5 is a block diagram illustrating the data processing and control flow of a reference object-based multi-environment index operation and dynamic preservation control system according to an embodiment. FIG. 6 is a block diagram illustrating the internal operation structure and operation process of a preservation environment index calculation unit according to an embodiment. FIG. 7 is a flowchart illustrating a risk assessment logic that determines the detailed risk status of an object stepwise based on a plurality of preservation indices (PI, EMC, MRF) according to an embodiment, and updates a status flag according to the determination result. FIG. 8 is a diagram showing the conceptual flow of an equivalent equilibrium function rate (Iso-EMC) guide control algorithm according to an embodiment. FIG. 9 is a diagram illustrating a firmware-based three-stage safety control process according to an embodiment. FIG. 10 is a schematic diagram showing a dual-trend graph display structure for verifying safety among user interfaces (UI / UX) according to an embodiment. FIG. 11 is a diagram illustrating a reference object-based multiple environment index calculation and dynamic preservation control process according to an embodiment. Specific details for implementing the invention

[0033] Hereinafter, various embodiments of the present disclosure are described in conjunction with the accompanying drawings. As various embodiments of the present disclosure may be subject to various modifications and may have various forms, specific embodiments are illustrated in the drawings and described in detail. However, this is not intended to limit the various embodiments of the present disclosure to specific forms, and it should be understood that they include all modifications and / or equivalents and substitutions that fall within the spirit and scope of the various embodiments of the present disclosure. In relation to the description of the drawings, similar reference numerals have been used for similar components.

[0034] In various embodiments of the present disclosure, terms such as “comprising” or “having” are intended to indicate the existence of the features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, and should be understood as not precluding the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof.

[0035] In various embodiments of the present disclosure, expressions such as “or” include any and all combinations of the words listed together. For example, “A or B” may include A, may include B, or may include both A and B.

[0036] Expressions such as "first," "second," "first," or "second" used in various embodiments of the present disclosure may modify various components of the various embodiments, but do not limit such components. For example, such expressions do not limit the order and / or importance of such components and may be used to distinguish one component from another.

[0037] When it is mentioned that a component is "connected" or "joined" to another component, it should be understood that the component may be directly connected or joined to the other component, but that a new component may also exist between the component and the other component.

[0038] In the embodiments of the present disclosure, terms such as "module," "unit," "part," etc. are used to refer to a component that performs at least one function or operation, and such component may be implemented in hardware or software, or in a combination of hardware and software. Additionally, a plurality of "modules," "units," "parts," etc. may be integrated into at least one module or chip and implemented as at least one processor, except where each needs to be implemented in specific individual hardware.

[0039] Terms such as those defined in commonly used dictionaries should be interpreted as having meanings consistent with their meanings in the context of the relevant technology, and should not be interpreted in an ideal or overly formal sense unless explicitly defined in the various embodiments of the present disclosure.

[0040] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the attached drawings.

[0041] FIG. 1 is a diagram showing a reference object-based multiple environment index calculation and dynamic conservation control system according to one embodiment of the present invention.

[0042] Referring to FIG. 1, a reference object-based multi-environment index calculation and dynamic conservation control system according to one embodiment of the present invention may be configured to include a control module (10), a probe unit (20) connected to the control module (10), and a reference object (30) formed of the same or similar material as the target object. FIG. 2 illustrates a structure that, as a core hardware configuration of the present invention, overcomes the limitations of simple ambient air measurement through reference object-based deep sensing and provides base data for active conservation control.

[0043] In this embodiment, the reference object (30) is a structure formed to have thermal and hygroscopic properties similar to those of a preservation object, and is configured to measure the internal temperature by inserting a probe unit (20) into the internal center. The probe unit (20) is positioned in the central region (31) of the reference object (30) to detect the internal temperature response characteristics in real time according to changes in the ambient temperature.

[0044] This is intended to overcome the structural and preservation limitations that make it difficult to directly attach sensors to actual objects of preservation, such as artifacts or cultural assets, and includes a technical concept of indirectly estimating the internal state of an object by using a reference object (30) made of the same material as the object.

[0045] The control module (10) may be configured to receive core temperature data of a reference object (30) and simultaneously collect air temperature data input from an external air temperature sensor. Through this, the temperature difference (ΔT) between the air temperature and the core temperature can be calculated, and based on the ΔT, the possibility of internal stress occurring in the object or a state of thermal imbalance can be determined.

[0046] Additionally, the control module (10) may include an external temperature sensor input port. In one embodiment, it may be implemented as a dedicated module that integrates a deep probe connection terminal into an existing temperature and humidity sensor module, and in another embodiment, it may be implemented as a structure that accommodates a commercially available temperature sensor by utilizing a general-purpose terminal block. Accordingly, ease of use or sensor compatibility can be improved.

[0047] As illustrated in FIG. 1, the present invention adopts a structure that monitors the difference in real time by simultaneously measuring the air temperature and the core temperature of a reference object, rather than simply measuring the air temperature of a space. Through this, the internal temperature delayed response to rapid environmental changes can be quantitatively analyzed, and this can be used as basic data for subsequent environmental index calculation and risk assessment.

[0048] FIG. 2 is a schematic cross-sectional view illustrating the structure of a probe unit according to one embodiment of the present invention.

[0049] Referring to FIG. 2, a probe unit (20) according to one embodiment of the present invention may be configured to include a sensor element (21), a probe body (23), and a connection part (25). The sensor element (21) may be configured as a resistive temperature sensor whose resistance value changes according to temperature, and as one embodiment, a platinum resistive temperature sensor may be applied. Specifically, a precision-grade resistive temperature sensor may be used, thereby enabling stable measurement of the core temperature. The sensor element (21) is positioned at the tip of the probe and configured to directly detect the temperature inside an object or reference object.

[0050] The probe body (23) may be formed as a sheath-type structure that protects the sensor element (21) from external impact and environmental influences. In one embodiment, the probe body (23) may be formed of a metal material with excellent corrosion resistance and heat resistance, for example, stainless steel may be used. The outer diameter of the probe body (23) may be formed in the range of about 3 mm to 5 mm, and is designed to maintain structural strength while being inserted into a reference object.

[0051] Additionally, the probe body (23) may be formed as a hollow structure that accommodates a conductive wire for transmitting a sensor signal inside, and the conductive wire is electrically connected to a control module through an external connection part (25). The connection part (25) may be formed as a multi-wire wiring structure, and as an embodiment, a 3-wire connection method may be adopted. The 3-wire connection method is a structure for correcting measurement errors due to lead wire resistance, enabling stable temperature measurement even in a long-distance wiring environment. Thus, the probe unit (20) illustrated in FIG. 2 is configured to stably measure the core temperature inside a reference object for a long period by combining a sheath-type protection structure, a precision resistive sensor element, and a multi-wire wiring structure. Accordingly, the difference between the air temperature and the core temperature can be calculated precisely, and this can be used as basic data for subsequent environmental index calculation and dynamic conservation control.

[0052] FIG. 3 is a schematic diagram illustrating the state in which a reference object-based preservation environment control system according to an embodiment is applied to an exhibition space.

[0053] Referring to FIG. 3, a display case (40) containing a preservation object according to an embodiment of the present invention, a control module (10) installed on the outside of the display case (40), and a probe unit (20) connected to the control module (10) to detect the environmental conditions inside the display case (40) are illustrated. The display case (40) forms a sealed or semi-sealed receiving space in which a preservation object is placed, and may be configured to maintain an internal micro-environment. The probe unit (20) extends from the control module (10) and is positioned in the internal space of the display case (40) or at a location adjacent to the object, and may be configured to detect the internal temperature or the core temperature of a reference object. The probe unit (20) may be implemented as a structure including a single sensor or multiple sensors, and may be configured to include a reference structure having thermal characteristics similar to those of the object.

[0054] The micro-environment area formed inside the display case (40) is a space where temperature and humidity conditions are controlled separately from the external environment, and the micro-environment area can be managed based on data measured through the probe unit (20).

[0055] The control module (10) may be configured to calculate a plurality of preservation environment indices based on data collected from the probe unit (20) and external environment sensor data, and to drive temperature control means and humidity control means according to the calculated risk level. Additionally, the control module (10) may include a function to store the calculation results or transmit them to an external server or user interface. That is, the embodiment illustrates an integrated structure in which the microenvironment inside the display case (40) is detected in real time through the probe unit (20), and the control module (10) performs environmental control based on this. Through this, active control to ensure the preservation stability of the object becomes possible, going beyond simple measurement.

[0056] FIG. 4 is a diagram showing the data processing configuration of a system for controlling the preservation environment of an object according to an embodiment.

[0057] Referring to FIG. 4, a system (1000) for controlling the preservation environment of an object according to an embodiment may be configured to include a deep sensing unit (110), a data collection unit (120), a preservation environment index calculation unit (130), a risk evaluation unit (140), and a control unit (150).

[0058] The deep sensing unit (110) detects the internal state of a reference object having the same or similar physical properties as the object. Specifically, the reference object may be formed of the same or similar material such that at least one of the thermal properties, moisture absorption properties, or thermal conductivity properties is similar to the object, and may be used as a structure to indirectly estimate the internal state of the object by replacing it when it is difficult to directly attach a sensor to the object.

[0059] The above-described deep sensing unit (110) may include a temperature sensing sensor placed in the internal central region or a predetermined depth of the reference object, and the temperature sensing sensor may be configured to measure the deep temperature of the reference object in real time. In one embodiment, the temperature sensing sensor may include a resistive temperature sensor, a thermocouple, a semiconductor temperature sensor, or a temperature sensing element equivalent thereto.

[0060] Additionally, the deep sensing unit (110) may be configured to generate basic data for calculating the rate of change of temperature inside the reference object or for calculating the temperature difference with the external air temperature. Through this, the temperature difference between the air temperature and the deep temperature of the reference object ( T) can be calculated, and the possibility of internal stress occurring in the object or a state of thermal imbalance can be determined based on the temperature difference. The deep sensing unit (110) can be configured to transmit the measured data to a data collection unit and can be connected via at least one of wired or wireless communication methods. Through this, the deep sensing unit (110) can precisely estimate the internal state of the object while preventing physical damage by adopting an indirect measurement method using a reference object rather than direct measurement of the object.

[0061] The data collection unit (120) receives temperature and humidity data collected from the deep body sensing unit and the surrounding environment sensor. Specifically, the data collection unit (120) can collect measurement data from each sensor in real time or periodically through a wired communication method or a wireless communication method. The data collection unit (120) may include a plurality of input channels and may be configured to store deep body temperature data, external air temperature data, and relative humidity data separately, or to maintain them in a processing standby state.

[0062] Additionally, the data collection unit (120) can map the received data together with time information to form time-series data, and can perform data validity verification or outlier filtering functions to determine whether there is a sensor error. In one embodiment, the data collection unit (120) can acquire data according to a preset sampling period and perform missing data correction or averaging processing. Additionally, the data collection unit (120) is configured to transmit the collected data to the preservation environment index calculation unit (130), thereby allowing a plurality of preservation environment indices to be calculated in a subsequent step. As described above, the data collection unit (120) performs the role of providing basic data for subsequent calculations by integrating and collecting core temperature data and external environment data.

[0063] The preservation environment index calculation unit (130) calculates a plurality of preservation environment indices based on the temperature and humidity data. Specifically, the preservation environment index calculation unit (130) receives air temperature, relative humidity, and core temperature data as input values, and compares and converts the input values ​​with a preset calculation model or reference data to calculate a plurality of indices that quantitatively represent the preservation state of the object.

[0064] In one embodiment, the plurality of preservation environment indices may include at least one of the first to fourth indices. The first index is an index for reflecting the moisture equilibrium state that the object ultimately reaches due to air temperature and relative humidity. The second index is an index for reflecting the possibility of chemical deterioration according to temperature and humidity conditions. The third index is an index for reflecting the possibility of biological contamination or mold growth. The fourth index is an index for reflecting the stability of environmental changes or whether there are rapid fluctuations.

[0065] The above preservation environment index calculation unit (130) can calculate each index individually, and, if necessary, can be configured to calculate an integrated index by comparing multiple indices or combining them by weight. In addition, the above preservation environment index calculation unit (130) can calculate the index by reflecting not only the absolute value of the input data but also the characteristics of change over time or the rate of change. Through this, beyond simply determining whether a standard is exceeded, the dynamic stability of environmental conditions can be quantitatively evaluated. The above preservation environment index calculation unit (130) can be implemented by a processor executing computational logic stored in memory, or it can be implemented in the form of a dedicated hardware module. In this way, the above preservation environment index calculation unit (130) calculates multiple preservation environment indices based on temperature and humidity data, thereby providing basic information that can evaluate the physical, chemical, and biological stability of the object from various angles.

[0066] The risk assessment unit (140) calculates the risk of damage to the object based on the plurality of preservation environment indices. Specifically, the risk assessment unit (140) performs a comparison with a preset standard range or threshold value for each of the plurality of preservation environment indices and can determine the risk level corresponding to each index based on the comparison result. The risk level can be divided into multiple stages, such as normal, caution, warning, or danger stages.

[0067] In addition, the risk evaluation unit (140) can calculate the overall damage risk by analyzing the combination relationship of the multiple indices in addition to individually evaluating the multiple preservation environment indices. In one embodiment, it may be configured to determine the weighted risk not only when a specific index exceeds a standard range, but also when multiple indices simultaneously satisfy certain conditions. The risk evaluation unit (140) can calculate the risk by reflecting not only the absolute value of the input index but also the trend of change or the rate of change over time. For example, if a rapid change in the index occurs within a short period, it may be configured to determine this as a precursor to potential damage and adjust the risk upward.

[0068] Additionally, the risk assessment unit (140) may output the calculated damage risk in the form of a quantitative numerical value or a step-by-step signal, and the output may be transmitted to the control unit (150) and used as a standard for subsequent control operations. The risk assessment unit (140) may be implemented by one or more processors executing judgment logic stored in memory, and if necessary, some functions may be implemented by dedicated hardware circuits.

[0069] Additionally, the control unit (150) drives at least one of the temperature control means and the humidity control means according to the damage risk level. Specifically, the control unit (150) determines whether the damage risk level falls within a preset standard range and can set one of a plurality of control modes according to the result of the determination. For example, it may be configured to set a maintenance mode in a normal state, a gradual correction mode in a caution stage, and an active control mode in a warning or danger stage. The temperature control means may include a heater, a cooling device, an air conditioning device, or a temperature control device equivalent thereto, and the humidity control means may include a humidifier, a dehumidifier, an air conditioning device, or a humidity control device equivalent thereto. The control unit (150) can control the microenvironment around the object by adjusting the operation intensity, operation time, or operation cycle of the control means.

[0070] In addition, the control unit (150) may be configured to determine the control priority by reflecting the results of a combination of multiple preservation environment indices as well as control based on a single environment index. For example, if temperature and humidity conditions simultaneously deviate from the standard range, it may be set to prioritize the operation of a specific control means according to the characteristics of the object.

[0071] In the embodiment, the control unit (150) may apply a stepwise or gradual control method to prevent an excessive response when a sudden change in the environment is detected, and may be configured to reduce the control intensity or switch to a maintenance mode when the environment stabilizes. The control unit (150) may be implemented by one or more processors executing control logic stored in memory, and may be implemented in the form of a dedicated control circuit or a microcontroller as needed. In the embodiment, the control unit (150) performs conservation control to maintain the physical, chemical, and biological stability of the object by actively driving an environment control means based on the calculated risk of damage.

[0072] In an embodiment, the deep sensing unit (110) includes a temperature sensing sensor placed inside a reference object, and the reference object may be formed to have thermal characteristics similar to those of a target object. Specifically, the reference object may be formed to have at least one of the same or similar thermal conductivity, specific heat, heat capacity, or hygroscopic characteristics as the target object. In one embodiment, the reference object may be made of the same material as the target object or formed of a material having thermal response characteristics similar to those of the target object. Accordingly, the internal temperature response characteristics of the reference object to changes in the external environment may be configured to appear similar to the internal temperature change characteristics of the actual target object. The temperature sensing sensor may be placed at the center of the reference object or at a preset depth location and is configured to directly measure the deep temperature of the reference object. The temperature sensing sensor may include a resistive temperature sensor, a thermocouple, a semiconductor temperature sensor, or a temperature measuring element equivalent thereto, and may be housed in a protective sheath structure for long-term stable measurement.

[0073] In addition, the temperature sensing sensor may be placed as an insert inside the reference object or embedded integrally when the reference object is formed. Through such a structure, the temperature difference between the external air temperature and the core temperature of the reference object can be precisely calculated, and this can be utilized as basic data to estimate the possibility of thermal stress occurring inside the object.

[0074] Additionally, the preservation environment index calculation unit (130) can calculate a plurality of indices based on temperature and humidity data, including a first preservation environment index reflecting the moisture equilibrium state of the object, a second preservation environment index reflecting the possibility of deterioration of the object, a third preservation environment index reflecting the possibility of biological damage, and a fourth preservation environment index reflecting environmental stability. Specifically, the preservation environment index calculation unit (130) receives air temperature, relative humidity, and, if necessary, core temperature data as input values, and applies the input values ​​to a preset calculation logic to calculate a plurality of indices that quantitatively represent the preservation state of the object. The first preservation environment index is an index that reflects the moisture equilibrium state that the object ultimately reaches due to temperature and humidity conditions, and can be calculated as a value for evaluating stability related to the possibility of shrinkage or expansion of the object.

[0075] In addition, the second preservation environment index is an index reflecting the potential for chemical deterioration of the object according to temperature and humidity conditions, and can be calculated as a value to estimate the long-term deterioration rate or lifespan indicator by considering temperature-dependent reaction characteristics. The third preservation environment index is an index reflecting the potential for biological damage, and can be calculated as a value to determine whether the temperature and humidity conditions constitute an environment suitable for the growth of microorganisms or fungi. The fourth preservation environment index is an index reflecting environmental stability, and can be calculated as a value to evaluate the dynamic stability of the environment by considering not only the absolute values ​​of temperature and humidity but also the rate of change or fluctuation range over time.

[0076] The above preservation environment index calculation unit (130) can calculate each of the above indices individually, and may be configured to calculate an integrated index representing the overall preservation state by comparing, combining, or weighting the indices as needed. Additionally, the above preservation environment index calculation unit (130) may refer to reference data, threshold values, or reference tables during the calculation process, and the reference may be set according to the material characteristics of the object or the preservation policy.

[0077] In the embodiment, the preservation environment index calculation unit (130) may be implemented by one or more processors executing a computation program stored in memory, or it may be implemented in the form of a dedicated computation module. Additionally, the preservation environment index calculation unit (130) provides basic information for multi-facetedly evaluating the possibility of damage to an object by calculating a plurality of preservation environment indices that reflect a complex preservation state from physical, chemical, and biological perspectives based on temperature and humidity data.

[0078] Additionally, the risk assessment unit (140) calculates environmental risk by reflecting at least one of the absolute value and change characteristics over time of a plurality of conservation environment indices. Specifically, the risk assessment unit (140) determines whether the current value of each conservation environment index falls within a preset standard range, and if it falls outside the standard range, determines a risk level corresponding to the index. The risk level may be divided into multiple stages, for example, a normal stage, a caution stage, a warning stage, and a risk stage.

[0079] Additionally, the risk assessment unit (140) can evaluate the dynamic stability of the environment by analyzing at least one of the absolute value of each conservation environment index, as well as the rate of change over time, the fluctuation range, the cumulative change amount, or the trend within a certain period. For example, even if the absolute value of the index exists within a standard range, if a rapid rise or fall occurs within a short period, it may be configured to determine this as a potential risk signal and adjust the environmental risk upward. The risk assessment unit (140) can calculate a single integrated environmental risk by synthesizing the individual risk levels for a plurality of conservation environment indices, and may be configured to assign a higher weight to a specific index as needed, or to increase the overall risk when multiple indices simultaneously satisfy a specific condition.

[0080] Additionally, the risk assessment unit (140) may output the calculated environmental risk in the form of a quantitative numerical value or a step-level signal, and the output may be transmitted to the control unit (150) and used as a standard for subsequent environmental control operations. Furthermore, the risk assessment unit (140) may be implemented by one or more processors executing judgment logic stored in memory, and some functions may be implemented in the form of a dedicated judgment module. In the embodiment, the risk assessment unit (140) enables proactive conservation control by comprehensively analyzing the absolute state and dynamic change characteristics of a plurality of conservation environment indices to quantitatively calculate the environmental risk of the object.

[0081] In addition, in the embodiment, the control unit (150) sets a plurality of control modes according to the calculated damage risk and adjusts the operating intensity or operating time of the temperature control means and humidity control means according to the set control modes. Specifically, the control unit (150) determines which of the preset reference intervals the calculated damage risk corresponds to and can select a control mode corresponding to the result of the determination. The control modes may be classified, for example, into a maintenance mode, a mitigation control mode, an active control mode, or an emergency control mode, and each mode may be set to include different control intensities or control processes.

[0082] The above control unit (150) can adjust the operating intensity or operating time of at least one of the temperature control means and the humidity control means according to the selected control mode. Here, the operating intensity may be defined as output power, airflow, humidification or dehumidification amount, etc., and the operating time may include continuous driving time, intermittent driving cycle, or driving frequency, etc.

[0083] In addition, in one embodiment, the control unit (150) may be configured to perform maintenance control to maintain environmental conditions stably when the risk of damage is low, and to perform correction control to reduce the deviation from the set target value when the risk of damage increases. In addition, when a rapid increase in risk is detected, it may be configured to set a more active control mode to rapidly adjust temperature and humidity conditions. The control unit (150) may apply a stepwise control or a gradual output adjustment method to prevent excessive response or excessive control of the environment, and may be configured to relax the control intensity or switch from a higher mode to a lower mode when the environment is maintained in a stable state for a certain period. The control unit (150) may be implemented by one or more processors executing control logic stored in memory, and may be implemented in the form of a dedicated control circuit or a microcontroller. In an embodiment, the control unit (150) sets multiple control modes corresponding to the risk of damage and adjusts the operating intensity or operating time of the temperature control means and humidity control means according to the set mode, thereby actively and stably maintaining the preservation environment of the object.

[0084] Additionally, the control unit (150) determines that if the rate of change of an environmental variable exceeds a reference range, it is a rapid environmental change, and performs pre-stabilization control based on the result of the determination. Specifically, the control unit (150) can calculate the amount of change or the rate of change by comparing time-series environmental data received from the data collection unit (120) at reference time intervals. The rate of change can be defined as the amount of temperature change per unit time, the amount of humidity change per unit time, or a combined change indicator of multiple environmental variables.

[0085] The control unit (150) may determine that the environment is rapidly changing within a short period of time if the calculated rate of change exceeds a set threshold. Since such rapid environmental change may cause thermal or moisture stress inside the object, it can be considered as an independent risk factor separate from judgment based on simple absolute values. Subsequently, based on the result of the above judgment, the control unit (150) may be configured to perform pre-stabilization control. The pre-stabilization control may include control actions to gradually adjust changes in environmental variables, and may be implemented, for example, by gradually adjusting the output intensity of a temperature control means or a humidity control means, or by performing maintenance control for a certain period of time to reduce the range of fluctuation.

[0086] Additionally, the control unit (150) may adjust the operation frequency, operation time, or output level of the control means by setting a stabilization mode separate from the general control mode when a sudden environmental change is detected. When the environmental change returns to a stable range, the stabilization mode may be released and the control unit may be configured to switch to the normal control mode. In the embodiment, the control unit (150) may be implemented by one or more processors executing a control program stored in memory, and the logic for determining the rate of change of environmental variables and stabilization control may be implemented in the form of software or firmware. In the embodiment, the control unit (150) detects sudden environmental changes in advance by considering not only the absolute value of environmental variables but also the rate of change, and minimizes thermal and moisture stress on the object by performing stabilization control corresponding thereto.

[0087] In addition, the reference object-based multiple environmental index calculation and dynamic preservation control system according to the embodiment can continuously perform measurement, index calculation, risk assessment, and control. Specifically, the system measures temperature and humidity data through a deep sensing unit (110) and an ambient environment sensor, and the measured data is transmitted to a preservation environment index calculation unit (130) through a data collection unit (120). The preservation environment index calculation unit (130) calculates a plurality of preservation environment indices, and the calculated indices are input to a risk assessment unit (140) to determine the risk of damage to the object. The risk assessment result is transmitted to a control unit (150), and the control unit (150) drives a temperature control means and a humidity control means according to the calculated risk to adjust the environmental conditions around the object. Subsequently, the environmental state changed by the control result is measured again in the sensing stage and re-input into the calculation and assessment process. In the embodiment, the system performs dynamic preservation control that responds to environmental changes in real time by forming a structure in which each stage of measurement-calculation-assessment-control is cyclically repeated. In the embodiment, feedback control is enabled to continuously correct errors caused by variations in environmental conditions and maintain stability within a set target range.

[0088] In addition, the control according to the embodiment may have each step implemented as an independent module or executed integrally by one or more processors, and the control cycle or sampling cycle may be variably set as needed. Through this, the system according to the embodiment is configured to enable active preservation environment management based on continuous feedback, going beyond simple environment monitoring.

[0089] FIG. 5 is a block diagram illustrating the data processing and control flow of a reference object-based multi-environment index operation and dynamic preservation control system according to an embodiment.

[0090] Referring to FIG. 5, the system according to the embodiment may be configured to include a sensor and setting input unit (100), a main operation control unit (200), and an external drive and output unit (300). The sensor and setting input unit (100) may include an environment sensing module (110) and a user setting memory unit (120). The environment sensing module (110) may be configured to measure environmental data such as temperature, humidity, and differential pressure in real time as needed and transmit it to the main operation control unit (200).

[0091] The user setting memory unit (120) may be configured to store parameters necessary for control, such as a control mode, reference value, limit value, and delay time, and the stored reference value parameter may be referenced in the control condition determination process described later. The main operation control unit (200) may include a time series data preprocessing unit (210), a preservation environment index calculation unit (220), a risk assessment unit (230), and a control condition determination unit (240).

[0092] The time series data preprocessing unit (210) may be configured to generate preprocessed data by converting the received real-time sensor data into units or buffering it at regular intervals. The preprocessing process may include noise removal, averaging, time synchronization, etc.

[0093] The preservation environment index calculation unit (220) may be configured to receive preprocessed data as input and calculate a plurality of preservation environment indices. In one embodiment, the indices may include an index reflecting moisture equilibrium (EMC), an index reflecting potential for deterioration (PI), an index reflecting potential for biological damage (MRF), and an index related to dew point. The calculated preservation environment index data may be transmitted to the risk assessment unit (230) and the control condition determination unit (240).

[0094] The risk assessment unit (230) may be configured to determine the possibility of damage to the object, such as natural aging or mechanical damage, based on the preservation environment index data, and to generate a risk flag. Additionally, if a risk state is detected, it may generate a risk state alarm signal.

[0095] In an embodiment, the control condition determination unit (240) may be configured to determine the final control condition by comprehensively considering the preservation environment index data, the risk flag, and the reference value parameters stored in the user-set memory unit (120). In one embodiment, the control condition determination unit (240) may be configured to prevent excessive control operations or frequent switching by performing hysteresis, latch condition, and delay time verification. A final relay control signal or a final proportional output signal may be generated according to the determination result.

[0096] The external driving and output unit (300) may include a multi-channel relay driving unit (310), an analog output mapping unit (320), and an integrated alarm generation unit (330). The multi-channel relay driving unit (310) may be configured to control multiple relays, such as relay 1 and relay 2, in an On / Off manner. The analog output mapping unit (320) may be configured to convert a control signal into a proportional control signal in the range of 0 to 100% and output it to an external control device. The integrated alarm generation unit (330) may be configured to notify the user of an abnormal condition by outputting a danger state alarm or a limit exceedance alarm.

[0097] As illustrated in FIG. 5, the present embodiment includes a series of data processing and control flows leading to real-time sensor data input, preprocessing, calculation of multiple preservation environment indices, environmental risk assessment, determination of control conditions, external driving, and alarm output. This allows measurement, computation, judgment, and control to be performed continuously and is configured to actively manage the preservation environment of an object.

[0098] FIG. 6 is a block diagram illustrating the internal operation structure and operation process of a preservation environment index calculation unit according to an embodiment.

[0099] Referring to FIG. 6, the preservation environment index calculation unit (220) may be configured to receive preprocessed average temperature and average humidity data as input and calculate multiple preservation environment indices in parallel. The input data may be average temperature and average humidity values ​​generated through a time series data preprocessing process, and the input data may be transmitted simultaneously to each index calculation module.

[0100] The above preservation environment index calculation unit (220) may include a dew point temperature calculation unit (221), an equilibrium moisture content (EMC) calculation unit (222), a preservation index (PI) calculation unit (223), and a mold risk index (MRF) calculation unit (224). The dew point temperature calculation unit (221) may be configured to calculate a dew point temperature that reflects the state of water vapor in the air based on input temperature and humidity data. The calculation process may include conditional branching according to a temperature range, the application of independent coefficients, and the calculation of water vapor pressure based on logarithmic calculation. The above dew point temperature may be used as a basic indicator for determining the possibility of condensation.

[0101] The equilibrium moisture content calculation unit (222) may be configured to derive temperature-based polynomial parameters and, based thereon, calculate an equilibrium moisture content (EMC) that reflects the moisture equilibrium state of the object. The calculation process may include a structure that determines multiple parameters according to temperature conditions and calculates a value proportional to the moisture content through a relationship with relative humidity. The EMC value may be used as an indicator to determine the possibility of shrinkage, expansion, and internal stress generation of the object.

[0102] The preservation index calculation unit (223) may be configured to calculate a preservation index (PI) by converting the input temperature into absolute temperature and then performing an exponential function calculation based on the chemical degradation rate. The preservation index may be used as an indicator to evaluate long-term degradation trends by reflecting temperature-dependent reaction characteristics. The mold risk index calculation unit (224) may be configured to determine whether temperature and humidity conditions fall within a specific valid range and to calculate the level of mold growth risk by mapping them to a pre-set two-dimensional condition table. The above process may include filtering the temperature and humidity ranges and may be configured to calculate the risk index only when the above conditions are satisfied. The dew point temperature (DP), equilibrium moisture content (EMC), preservation index (PI), and mold risk index (MRF) calculated by each calculation unit may be integrated as output data and transmitted to the environmental risk assessment unit.

[0103] The preservation environment index calculation unit (220) illustrated in FIG. 6 has a structure that calculates multiple indices in parallel from the perspectives of physical (condensation), moisture (equilibrium moisture content), chemical (deterioration rate), and biological (mold growth) based on the pre-processed average temperature and average humidity, and provides basic data for evaluating the possibility of damage to the object from various angles. Thus, in the embodiment, quantitative evaluation based on multiple environment indices is made possible rather than judgment based on a single environment variable.

[0104] The dew point temperature calculation unit (221) according to an embodiment of the present invention may be configured to calculate an accurate dew point temperature in order to predict the risk of condensation occurring in the space in advance.

[0105] The dew point temperature refers to the temperature at which water vapor in the air reaches saturation and condensation begins; if the surface or internal temperature of an object drops below the dew point temperature, condensation may occur. Therefore, the precise calculation of the dew point temperature serves as an important indicator for evaluating the preservation environment of an object. The above dew point temperature calculation can be performed based on input parameters of air temperature (T) and relative humidity (RH). The air temperature can be entered in Celsius, and the relative humidity can be entered in percentage (%) units.

[0106] In this embodiment, computational precision can be improved by applying dual water vapor pressure constants based on the freezing point (0°C). Specifically, different constant coefficients can be applied when the air temperature T is less than 0°C and when it is 0°C or higher. For example, when T < 0°C, C0 = -6150.6, C1 = 273.33, and C2 = 3.61633 x 10¹⁰. 2 It is calculated as such, and when T >= 0℃, it can be calculated as C0 = -3928.5, C1 = 231.667, and C2 = 1.40574 × 10¹°. In the example, C0, C₁, and C₂ are not arbitrary constants, but are coefficients empirically derived to calculate saturation vapor pressure. Specifically, C0 can be the temperature-dependent coefficient entered in the numerator of the exponent, C1 can be the temperature correction constant (including Kelvin transformation and empirical correction), and C2 can be the saturation vapor pressure scaling coefficient. By applying constants separately according to the temperature range as described above, the characteristics of saturation vapor pressure in sub-zero and above-zero regions can be reflected more accurately.

[0107] The dew point temperature calculation unit (221) can first calculate the saturated water vapor pressure (WVP) using the input temperature T. In the embodiment, the saturated water vapor pressure can be calculated by a relationship in the form of an exponential function such as Equation 1.

[0108] Mathematical formula 1

[0109]

[0110] Here, WVP is the saturated water vapor pressure, C0, C1, and C₂ are coefficients selected according to the temperature range, and T is the air temperature.

[0111] The final dew point temperature (T_dp) can be calculated using the calculated saturated water vapor pressure and relative humidity (RH). The dew point temperature can be calculated by a relationship involving the following logarithmic operation.

[0112] Mathematical formula 2

[0113]

[0114] Here, T_dp represents the dew point temperature, RH represents relative humidity (%), and ln represents the natural logarithm operation. Through the above operation, the dew point temperature under current air conditions is calculated, and the dew point temperature can be used as a reference value for determining the possibility of condensation occurrence. In the embodiment, by applying a constant based on the freezing point and performing a saturated vapor pressure and a logarithmic inverse function operation, it is possible to calculate the dew point temperature with high accuracy across the entire temperature range. Accordingly, the present invention can detect the risk of surface condensation and internal moisture condensation of an object in advance by performing condensation prediction based on quantitative dew point temperature rather than a simple critical humidity-based judgment.

[0115] In addition, the preservation environment index calculation unit (220) according to an embodiment of the present invention may be configured to calculate the Equilibrium Moisture Content (EMC) to quantitatively evaluate the moisture equilibrium state of the object. The Equilibrium Moisture Content refers to the moisture content that hygroscopic materials, such as wood and paper, reach over the long term due to air temperature and relative humidity conditions. The Equilibrium Moisture Content can be used as an indicator to predict the possibility of physical deformation, such as shrinkage or expansion, of the object.

[0116] In the embodiment, the equilibrium moisture content calculation is performed using the temperature T converted to Fahrenheit. F and relative humidity H in decimal units D It can be performed based on input parameters (e.g., in the range of 0 to 1). The relative humidity may be a value converted into a decimal form by dividing the percentage value by 100.

[0117] In this embodiment, the Hailwood-Horrobin model may be applied to calculate the equilibrium moisture content. This model is an empirical model that calculates the equilibrium moisture content by combining a temperature-dependent coefficient and a humidity term, and is known to relatively accurately reflect the moisture equilibrium characteristics of hygroscopic materials such as wood.

[0118] The equilibrium function rate calculation unit first calculates the temperature T F Multiple temperature-dependent parameters can be calculated based on this.

[0119] for example,

[0120] , , , It can be produced as follows.

[0122] mp, k, k1, and k2 are temperature-dependent empirical coefficients used in the Hailwood-Horrobin model. In other words, they are intermediate parameters calculated based on temperature, rather than physical constants. mp is a molecular weight correction factor related to moisture adsorption of the material, and k is the basic adsorption equilibrium constant for relative humidity. k1 is a first-order interaction coefficient related to multilayer adsorption, and k2 is a coefficient reflecting the second-order effects of multilayer adsorption. These parameters serve as coefficients to reflect the moisture adsorption characteristics of the material according to temperature changes, modeling the hygroscopic properties that change with increasing temperature.

[0123] Using the parameters calculated above, the equilibrium function rate can be calculated by the following relationship.

[0124] Mathematical formula 3

[0125]

[0126] In Equation 3, the first term reflects single-molecular-layer adsorption, and the second term reflects the multilayer adsorption effect. Accordingly, the EMC value is based on temperature and relative humidity (H D It represents the moisture content at which the object finally reaches an equilibrium state under the conditions. By applying the Hailwood-Horrobin model as described above, the present invention can perform moisture equilibrium prediction based on material properties rather than a simple humidity criterion judgment. Through this, it enables the prediction of the possibility of shrinkage and expansion of the object and the assessment of internal stress risk due to repeated humidity changes, and allows for the determination of long-term preservation stability. Accordingly, the equilibrium moisture content calculation unit according to the present embodiment can function as a core calculation module for quantitatively evaluating the risk of physical deformation of the object.

[0127] In addition, the preservation index calculation unit according to the embodiment may be configured to predict the rate of chemical deterioration (natural aging) of the object and derive a preservation index. In the embodiment, the preservation index is an indicator that quantitatively represents how quickly the object can deteriorate under specific environmental conditions by reflecting the change in the chemical reaction rate according to temperature and humidity conditions. The preservation index calculation may be performed based on input parameters of Celsius temperature T and relative humidity RH. The temperature may be converted to absolute temperature (K) and applied to the calculation, which is to ensure physical consistency of the chemical reaction rate equation.

[0128] In this embodiment, a preservation index can be calculated by applying an exponential function based on the Arrhenius degradation reaction rate equation. The Arrhenius equation is an equation that indicates that the reaction rate depends exponentially on the reciprocal of the temperature, reflecting the characteristic that the reaction rate increases rapidly as the temperature rises. In this embodiment, by applying an absolute temperature T+273 and adding a relative humidity correction term, a preservation index can be calculated using an exponential function of the following form.

[0129] Mathematical formula 4

[0130]

[0131] Here, 8.314 is the gas constant (R), T+273 is the absolute temperature (K), and RH is the relative humidity. In Equation 4, the numerator includes a reaction rate term based on activation energy as a function of temperature, and the humidity-related correction term reflects the effect of the presence of moisture on the degradation rate. The 360 ​​in the denominator can be applied as a unit time conversion or scale correction factor.

[0132] The above preservation index is not determined simply based on the absolute values ​​of temperature or humidity, but can reflect the accelerated degradation effect by applying an exponential function model based on chemical reaction kinetics. In particular, it can simultaneously consider the characteristic that the degradation rate increases non-linearly as temperature rises, and the phenomenon that chemical decomposition reactions are promoted as relative humidity increases. Accordingly, the preservation index calculation unit according to the present embodiment can provide a key indicator for predicting the long-term lifespan of an object or evaluating the risk of degradation.

[0133] In addition, the mold risk index calculation unit according to an embodiment of the present invention may be configured to calculate an index for evaluating the risk of germination and growth of mold, which is one of the biological deterioration factors of an object. The Mold Risk Factor (MRF) is an indicator for quantitatively determining the potential for mold growth based on temperature and relative humidity conditions.

[0134] The above calculation of the mold risk index can be performed based on input parameters of Celsius temperature T and relative humidity RH. The temperature and humidity may be average values ​​obtained through a preprocessing process. In this embodiment, instead of a mathematical continuous function model, a Look-Up Table method based on temperature and humidity condition mapping may be applied. Specifically, mold growth indices corresponding to temperature and relative humidity combinations may be stored in advance in a table format, and the index can be derived by referencing the index of the corresponding table according to the input temperature and humidity values. For example, It can be implemented by converting temperature and humidity into correction indices as shown above, and then extracting corresponding values ​​from a table in the form of a two-dimensional array. Here, mrfTable is a two-dimensional data table storing the probability of mold growth according to temperature and humidity conditions, and T-3 and RH-65 correspond to the table index correction values. The above mold risk index can be calculated only within a specific valid condition range.

[0135] In one embodiment, it can be determined that there is a possibility of mold growth only when the temperature in degrees Celsius is greater than 2 degrees and less than 44 degrees, and the relative humidity is greater than 64 percent. If the above conditions are not satisfied, it is determined that mold growth is impossible, and the MRF value can be set to 0 or an undetected state. The Look-Up Table-based mapping method used in the embodiment simplifies complex biological growth models to improve computational speed and enables the reflection of mold growth ranges based on experimental data. Furthermore, it enables the reflection of rapid growth characteristics under specific temperature and humidity combinations, and since it is a condition mapping method rather than a continuous function-based model, it allows for the precise reflection of critical range characteristics observed in actual preservation environments.

[0136] FIG. 7 is a flowchart illustrating a risk assessment logic that determines the detailed risk status of an object stepwise based on a plurality of preservation indices (PI, EMC, MRF) according to an embodiment, and updates a status flag according to the determination result.

[0137] Referring to FIG. 7, the risk assessment unit may be configured to receive preservation index data (PI, EMC, MRF) and then determine detailed risk items corresponding to each index in stages. The risk assessment may be performed independently for multiple detailed items, such as natural deterioration, mechanical damage, mold risk, and metal corrosion risk, and each item may be classified into a multi-stage state by comparing it with a preset reference value.

[0138] In the embodiments, the natural deterioration state can be determined based on the preservation index (PI) in the process of determining the risk of natural deterioration (PI-based). For example, if the preservation index (PI) is 75 or higher, the natural deterioration can be 2, indicating a good state. If the preservation index (PI) is 45 or higher but less than 75, the natural deterioration can be 1, indicating an OK state. If the preservation index is less than 45, the natural deterioration can be 0, indicating a risk state. As described above, in the embodiments, the risk level of natural deterioration can be classified according to the preservation index. This is intended to quantitatively evaluate the natural aging state of the object based on the rate of chemical deterioration according to temperature and humidity conditions.

[0139] In addition, the risk of shrinkage and expansion of the material can be determined based on the equilibrium moisture content (EMC). For example, if the equilibrium moisture content is between 50 and 125, the mechanical damage may be 1, indicating a good (OK) state. If it falls outside the above range, the mechanical damage may be 0, indicating a risk (Risk) stage. This can be set based on whether the moisture equilibrium state exists within the physical stability range of the material.

[0140] In addition, in the embodiments, the possibility of biological deterioration can be determined based on the Mold Risk Index (MRF). For example, if the Mold Risk Index is 1 or less, the Mold Risk can be judged as 2, indicating a Good condition. Also, if the Mold Risk Index is greater than 1, the Mold Risk can be classified as 0, indicating a Risk. This can be determined based on whether the conditions for mold growth are satisfied.

[0141] The above-mentioned risk assessment unit may be configured to determine the possibility of metal corrosion by utilizing the Equilibrium Moisture Content (EMC) value as an additional criterion. Specifically, the above-mentioned risk assessment unit determines which of a plurality of preset standard ranges the EMC value corresponds to, and accordingly, classifies the metal corrosion state into stages. For example, if the EMC value is 70 or lower, it is determined to be a state with low risk of metal corrosion and set to stage 2 (Good); if the EMC value is 71 or higher and 105 or lower, it is determined to be a state requiring management and set to stage 1 (OK); and if the EMC value exceeds 105, it is determined to be a state with high risk of metal corrosion and set to stage 0 (Risk). This is a judgment criterion that reflects the fact that humidity conditions have a direct influence on the oxidation and corrosion reaction rates of the metal surface.

[0142] In addition, the judgment results for each of the aforementioned detailed risk items can be converted into the form of status flags and transmitted to the integrated status management unit. Each risk item is evaluated independently, but ultimately, multiple status flags can be comprehensively updated, and the integrated status flags can be transferred to the control unit and utilized as a standard for setting the environment control mode, adjusting the control intensity, or determining whether to trigger an alarm.

[0143] As illustrated in FIG. 7, this embodiment has a multi-condition judgment structure that does not rely on a single preservation index, but rather independently evaluates a preservation index (PI) reflecting the risk of chemical deterioration, an equilibrium moisture content (EMC) reflecting the possibility of physical deformation, a mold risk index (MRF) reflecting biological damage, and additional EMC-based judgment criteria reflecting the possibility of metal corrosion, and then integrates these results into a status flag. Accordingly, the risk of damage to the object can be evaluated in a subdivided manner, and more precise and active dynamic preservation control corresponding to each risk factor becomes possible.

[0144] FIG. 8 is a diagram showing the conceptual flow of an equivalent equilibrium function rate (Iso-EMC) guide control algorithm according to an embodiment.

[0145] Referring to FIG. 8, the control logic of the present embodiment can be configured to maintain a constant moisture content, i.e., equilibrium moisture content (EMC), inside the object by correcting relative humidity according to temperature changes. This is not merely a method of maintaining a constant relative humidity, but a control structure for maintaining an equivalent condition (Iso-EMC condition) that reflects the actual physical property changes of the object. Specifically, in the input stage, the current measured temperature (T_curr) and the target equilibrium moisture content (Target EMC) may be input. The target EMC may be a value pre-set according to the material characteristics or preservation purpose of the object, and may be set to a reference value such as 9%, for example.

[0146] In the subsequent process step, the target relative humidity (Target RH) required to satisfy the target EMC under the current temperature conditions can be calculated by referring to an internally stored lookup table. The lookup table is constructed based on the correlation between temperature, humidity, and EMC, and may be a data structure that maps relative humidity values ​​required to maintain the same EMC at a specific temperature. For example, if a 50% RH condition at 20°C corresponds to an EMC of approximately 9.2%, it can be corrected so that a relative humidity in the range of approximately 53–55% RH is required to maintain the same EMC when the temperature rises to 52°C. By dynamically adjusting the relative humidity in response to temperature changes in this way, the moisture equilibrium state inside the object can be maintained at a constant level.

[0147] In the output stage, the calculated target relative humidity (Target RH) can be displayed on the user interface screen and simultaneously automatically set as the PID control target value for an environmental control device such as a humidifier or dehumidifier. Accordingly, the user can create a scientific equivalent humidity environment (Iso-RH environment) based on the recommended humidity value presented by the system without having to perform complex thermodynamic calculations directly.

[0148] That is, the Iso-EMC guide logic illustrated in Fig. 8 is a control algorithm that maintains a constant internal moisture content of an object by correcting relative humidity when the temperature rises, and can function as a core component of dynamic preservation control that minimizes the risk of physical deformation (shrinkage / expansion) and long-term deterioration of the object.

[0149] FIG. 9 is a schematic diagram showing a firmware-based three-stage safety control structure according to an embodiment.

[0150] Referring to FIG. 9, the control structure of the present embodiment can perform cyclic safety control including a first stage, a second stage, and a third stage, and each stage can be designed to be interconnected to simultaneously ensure thermal and humidity stability and safety of the object.

[0151] First, the first stage is the heating control stage, which can perform interlock control based on the difference (ΔT) between the air temperature and the core temperature. Specifically, if the difference between the air temperature and the core temperature inside the object exceeds a preset threshold value, for example, 5°C, the operation of the heater can be forcibly stopped. This functions as a safety device to prevent thermal shock caused by abrupt temperature gradients and plays a role in suppressing cracks, deformation, or the occurrence of internal stress in the object. The second stage is the humidity control stage, which can perform control based on Iso-EMC logic. In this stage, the error between the target relative humidity (Target RH) and the current relative humidity is calculated, and a humidifier or dehumidifier can be precisely driven by performing PID control based on that error. At this time, the control algorithm can be configured to minimize ripples in humidity fluctuations, thereby ensuring that the equilibrium moisture content (EMC) inside the object is stably maintained.

[0152] Phase 3 is the Decontamination Mode, where the target deep temperature (e.g., 52 It can be configured to automatically start an integration timer when it reaches [the threshold]. The timer can be used to determine whether decontamination conditions are met by accumulating the set holding time. Additionally, it can be configured to be linked with a differential pressure sensor to immediately trigger an alarm when the negative pressure (-Pa) state is released or exceeds the set range. This is a safety function to prevent the inflow of external contaminants during the decontamination process. As such, the three-stage safety control process illustrated in FIG. 9 can implement a multi-safety control system that simultaneously ensures physical, chemical, and biological safety of the object by integrating thermal control (ΔT interlock), humidity control (Iso-EMC-based PID control), and decontamination operation control (integration timer and differential pressure linkage) into a cyclic structure.

[0153] FIG. 10 is a schematic diagram showing a dual-trend graph display structure for verifying safety among user interfaces (UI / UX) according to an embodiment.

[0154] Referring to FIG. 10, the present embodiment can be configured to provide a dual trend overlay display method (see FIG. 10 (b)) in contrast to a conventional single trend display method (see FIG. 10 (a)). First, the conventional method has a single trend graph structure that displays only air temperature or specific single sensor data along the time axis. In this case, there is a limitation in that it is difficult to intuitively identify the time delay or temperature gradient between changes in the external environment and the internal state of the object. In contrast, the structure of the present embodiment can provide a dual trend overlay graph that displays air temperature (Air Temp) and core temperature (Core Temp) superimposed on the same time axis. At this time, the difference region between the two curves is It can be visualized as a T (Delta T) region, which allows for an intuitive understanding of the temperature difference between the air temperature and the core temperature, as well as the heat transfer delay characteristics.

[0155] Referring to FIG. 10, in Temperature Mode, the air temperature curve and the core temperature curve are displayed simultaneously, and the ΔT region between the two curves is highlighted to allow visual confirmation of whether there is a delay in heat transfer and the possibility of thermal shock. In addition, a Stability Marker may be displayed in the embodiment. The Stability Marker may be configured to automatically detect a section where the rate of change of temperature or humidity increases rapidly above a preset threshold value (e.g., Stability Index >= 0.5%) and to display a "Stress Point" at that point. This is intended to clearly inform the user of the section where the object is likely to be subjected to thermal or humid stress.

[0156] In addition, the dual trend graph is configured to allow simultaneous comparison of air data and core or target data (e.g., target core temperature), thereby functioning as a means of safety verification rather than simple measurement. The dual trend graph structure outputtable by the system according to the embodiment goes beyond passive monitoring based on a single indicator and enables the implementation of a user interface that allows for intuitive verification of the preservation safety of an object by visually integrating and displaying the temperature gradient between air and the core, thermal retardation characteristics, and sections of rapid environmental change.

[0157] Below, we will look at FIG. 11. The reference object-based multi-environment index calculation and dynamic preservation control method illustrated in FIG. 11 can be performed by a reference object-based multi-environment index calculation and dynamic preservation control system.

[0158] Meanwhile, FIG. 11 is merely illustrative, and the concept of the present invention is not to be interpreted as being limited to that illustrated in FIG. 11. For example, each step may be configured in a different order than that illustrated in FIG. 11, at least one of the steps illustrated in FIG. 11 may not be performed, or one or more steps not illustrated in FIG. 11 may be additionally performed.

[0159] Below, the reference object-based multiple environment index calculation and dynamic preservation control method will be described in turn. Since the operation (function) of the reference object-based multiple environment index calculation and dynamic preservation control method according to the embodiment is essentially the same as the function of the reference object-based multiple environment index calculation and dynamic preservation control system, descriptions that overlap with FIGS. 1 to 10 will be omitted.

[0160] FIG. 11 is a diagram illustrating a reference object-based multiple environment index calculation and dynamic preservation control process according to an embodiment.

[0161] Referring to FIG. 11, in step S110, the internal state of a reference object having the same or similar physical properties as the object is detected. In step S120, temperature and humidity data collected from the deep sensing unit and the surrounding environment sensor are received. In step S130, a plurality of preservation environment indices are calculated based on the temperature and humidity data. In step S140, the risk of damage to the object is calculated based on the plurality of preservation environment indices. In step S150, at least one of the temperature control means and the humidity control means is driven according to the risk of damage.

[0162] Meanwhile, the methods according to the various embodiments of the present invention described above can be implemented in the form of an application or software program that can be installed on an existing electronic device.

[0163] In addition, the whole or part of the method may be composed of multiple software function modules and implemented on an operating system (OS). Alternatively, each step may be composed of a single software function module, or each step may be combined to form a single software function module and implemented on an operating system. Therefore, even if all of the embodiments of the present disclosure are not implemented as a single software function module, if multiple software function modules implement each step of the present disclosure and multiple software function modules are implemented on a single operating system, it can be understood that the method of the present disclosure has been implemented.

[0164] In addition, the methods according to the various embodiments of the present invention described above can be implemented solely through software upgrades or hardware upgrades of existing electronic devices. Furthermore, the various embodiments of the present invention described above can also be performed through an embedded server equipped in an electronic device or an external server of the electronic device.

[0165] Meanwhile, according to one embodiment of the present invention, the various embodiments described above may be implemented as software comprising instructions stored on a computer-readable recording medium using software, hardware, or a combination thereof. In some cases, the embodiments described herein may be implemented as the processor itself. According to the software implementation, embodiments such as the procedures and functions described herein may be implemented as separate software modules. Each of the software modules may perform one or more functions and operations described herein.

[0166] Meanwhile, a computer or a similar device may include a device according to the disclosed embodiments, which is capable of calling instructions stored from a storage medium and operating according to the called instructions. When said instructions are executed by a processor, the processor may perform a function corresponding to said instructions directly or by using other components under the control of said processor. The instructions may include code generated or executed by a compiler or an interpreter.

[0167] A computer-readable recording medium may be provided in the form of a non-transitory computer-readable recording medium. Here, "non-transitory" simply means that the storage medium does not contain a signal and is tangible, without distinguishing whether data is stored semi-permanently or temporarily on the storage medium. In this context, a non-transitory computer-readable medium refers to a medium that stores data semi-permanently and is readable by a device, rather than a medium that stores data for a short moment, such as registers, caches, or memory. Specific examples of non-transitory computer-readable media may include CDs, DVDs, hard disks, Blu-ray discs, USBs, memory cards, and ROMs.

[0168] As described above, exemplary embodiments have been disclosed in the drawings and specification. Although specific terms have been used to describe the embodiments in this specification, they are used only for the purpose of explaining the technical concept of this disclosure and are not intended to limit the meaning or the scope of this disclosure as defined in the claims. Therefore, those skilled in the art will understand that various modifications and equivalent alternative embodiments are possible therefrom. Accordingly, the true technical scope of protection of this disclosure should be determined by the technical concept of the appended claims.

Claims

Claim 1 A reference object-based multiple environment index calculation and dynamic preservation control system comprising: a deep sensing unit for detecting the internal state of a reference object having the same or similar physical properties as the object; a data collection unit for receiving temperature and humidity data collected from the deep sensing unit and an ambient environment sensor; a preservation environment index calculation unit for calculating a plurality of preservation environment indices based on the temperature and humidity data; a risk assessment unit for calculating the risk of damage to the object based on the plurality of preservation environment indices; and a control unit for driving at least one of a temperature control means and a humidity control means according to the risk of damage; wherein the preservation environment index calculation unit calculates a plurality of indices based on the temperature and humidity data, including a first preservation environment index reflecting the moisture equilibrium state of the object, a second preservation environment index reflecting the possibility of deterioration of the object, a third preservation environment index reflecting the possibility of biological damage, and a fourth preservation environment index reflecting environmental stability. Claim 2 A reference object-based multiple environment index calculation and dynamic conservation control system, wherein the deep sensing unit includes a temperature sensing sensor disposed inside a reference object, and the reference object is formed to have thermal characteristics similar to those of an object. Claim 3 delete Claim 4 In claim 1, the risk assessment unit calculates environmental risk by reflecting at least one of the absolute value and time-dependent change characteristics of a plurality of conservation environment indices, a reference object-based multiple environmental index calculation and dynamic conservation control system. Claim 5 A reference object-based multi-environment index calculation and dynamic preservation control system according to claim 1, wherein the control unit sets multiple control modes according to the calculated damage risk and adjusts the operating intensity or operating time of the temperature control means and humidity control means according to the set control modes. Claim 6 A reference object-based multiple environment index calculation and dynamic preservation control system according to claim 1, wherein the control unit determines that a rapid environmental change occurs when the rate of change of an environmental variable exceeds a reference range, and performs pre-stabilization control based on the result of the determination. Claim 7 In claim 1, the system is a reference object-based multi-environment index calculation and dynamic conservation control system that continuously performs measurement, index calculation, risk assessment, and control.

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