A real-time monitoring method and system for intelligent environment of cultural relics

Abstract

The present invention relates to the technical field of monitoring the environment for cultural relics preservation, and in particular to a method and system for real-time monitoring of intelligent environments for cultural relics. The method comprises the following steps: obtaining an infrared image for real-time monitoring of the cultural relics environment through infrared monitoring equipment; performing image enhancement processing based on the infrared image for real-time monitoring of the cultural relics environment to obtain a first optimized image for monitoring the cultural relics environment; reconstructing the first optimized image for monitoring the cultural relics environment to obtain a reconstructed image for monitoring the cultural relics environment; constructing an environmental monitoring model, combining the environmental monitoring model and the reconstructed image for monitoring the cultural relics environment, and completing intelligent real-time monitoring of the cultural relics environment. The present invention solves the problem of real-time and accurate monitoring of the temperature and humidity distribution of the cultural relics preservation environment by enhancing the infrared image and then reconstructing it, and then identifying the change in environmental temperature based on the reconstructed image, which is conducive to ensuring that the cultural relics are in the best preservation environment.

Description

Technical Field

[0001] The present invention relates to the technical field of cultural relics preservation environment monitoring, and in particular to a cultural relics intelligent environment real-time monitoring method and system. Background Art

[0002] China's history and culture have a long history, rich in wisdom and the spirit of inheritance. In the long river of history, batches of precious historical relics have been born. These relics are not only the crystallization of the wisdom of the working people, but also the inheritors of historical culture. As the material carrier of history, the relics have witnessed China's 5,000-year journey of wind and rain, and carry the profoundness of Chinese civilization. Historical relics not only inherit the excellent traditional culture of the Chinese nation, but also play a key role in the development of advanced culture in contemporary China. They promote the national spirit, enhance national self-esteem and pride, and condense the strength of the Chinese nation.

[0003] The protection of cultural relics is an important and complex task. Most of the cultural relics have become very fragile after archaeological excavations, long-term deep underground burials and countless years of corrosion. In the subsequent preservation process, the temperature and humidity in the preservation environment will become key factors leading to the deterioration of cultural relics.

[0004] Temperature has little effect on pure chemical corrosion, but when the temperature rises, the electrochemical corrosion reaction speeds up, which will accelerate the oxidation reaction of cultural relics, which is especially important for metal cultural relics. For example, the formation of rust is closely related to temperature. Under high temperature environment, the oxidation reaction of metal surface will be faster, thus accelerating corrosion. However, too low temperature will also affect the internal structure of cultural relics, leading to irreversible and serious consequences for cultural relics. In addition, low temperature may also cause the water in cultural relics to freeze, causing micro cracks, and ultimately destroying the integrity of cultural relics.

[0005] Humidity is the most important factor causing corrosion of metal cultural relics. The reason is that the water molecule content in the air directly affects the formation of water film on the surface of the cultural relics. For pure atmosphere, it is not enough to form effective ion transfer at this time, and the corrosion is mainly pure chemical corrosion. When the relative humidity reaches 100%, water droplets will form on the surface of the cultural relics, and severe electrochemical corrosion will occur. For paper cultural relics, although the chemical corrosion caused by humidity is weak, humidity will directly affect the biochemical corrosion of the surface of paper cultural relics, especially in high humidity environments, bacteria and fungi will multiply rapidly, causing mold or corrosion. Too low humidity is not conducive to the preservation of cultural relics. In a low humidity environment, some cultural relics will dry out or even crack.

[0006] In order to effectively prevent the irreparable and serious damage to the "cultural heritage carriers" of cultural relics caused by the temperature and humidity of the cultural relics preservation environment, it is particularly important and of great significance to obtain accurate spatiotemporal distribution information of temperature and humidity in the cultural relics preservation environment in real time online. Summary of the invention

[0007] In view of the shortcomings of existing methods and the needs of practical applications, in order to solve the problem of obtaining accurate spatiotemporal distribution information of temperature and humidity in the cultural relic preservation environment in real time online. On the one hand, the present invention provides a method for real-time monitoring of the intelligent environment of cultural relics, comprising the following steps:

[0008] Through infrared monitoring equipment, an infrared image of real-time monitoring of the cultural relic environment is obtained; image enhancement processing is performed based on the infrared image of real-time monitoring of the cultural relic environment to obtain a first optimized image of cultural relic environment monitoring; image reconstruction is performed on the first optimized image of cultural relic environment monitoring to obtain a reconstructed image of cultural relic environment monitoring; an environmental monitoring model is constructed, and the environmental monitoring model and the reconstructed image of cultural relic environment monitoring are combined to complete intelligent real-time monitoring of the cultural relic environment. The present invention solves the problem of real-time and accurate monitoring of the temperature and humidity distribution of the cultural relic preservation environment by enhancing the infrared image and then reconstructing it, and then completing the identification of environmental temperature changes according to the reconstructed image, which is conducive to ensuring that the cultural relics are in the best preservation environment. At the same time, the present invention can also monitor the temperature changes of the cultural relics themselves in real time. Once abnormal temperature changes are found, such as sudden increases or decreases, it may indicate that there are potential problems with the cultural relics, such as diseases, insect bites or fires. At this time, the protection personnel can immediately take measures to intervene to prevent the problem from further deteriorating; further, the present invention can also quickly find the disease points on the cultural relics, such as small cracks on the murals and insect bites on the wooden cultural relics, which is conducive to timely discovery and repair of these disease points, which can extend the life of the cultural relics and maintain their integrity and authenticity.

[0009] Optionally, performing image enhancement processing based on the real-time monitoring infrared image of the cultural relics environment to obtain a first optimized image for cultural relics environment monitoring includes the following steps:

[0010] The improved wavelet transform algorithm is used to divide the real-time monitoring infrared image of the cultural relics environment into a high-frequency component and a low-frequency component; the high-frequency component and the low-frequency component are logarithmically deformed, and Fourier transform is performed according to the deformation result; a transfer function model is constructed, and the Fourier transform result is corrected by using the transfer function model, and the corrected result is inversely Fourier transformed and inversely deformed to obtain the first optimized image of the cultural relics environment monitoring. The present invention removes image noise by performing wavelet decomposition on the infrared image, and then logarithmically deforms and Fourier transforms the decomposed image respectively, which is conducive to improving the quality of the infrared image.

[0011] Optionally, the improved wavelet transform algorithm satisfies the following formula: ,in, Indicates Tier The wavelet coefficients after the improved wavelet transform algorithm are represents the symbolic function, Indicates Tier The standard wavelet coefficients, Indicates The wavelet threshold of the layer, represents the threshold soft and hard control coefficient, Indicates the first layer The standard wavelet coefficients of the components, represents the middle value, represents the discrete signal length, represents the golden ratio, Indicates The number of wavelet coefficients of the layer, represents the base of natural logarithms, Indicates the maximum value, The present invention improves the threshold value by adjusting the wavelet threshold value, so that the wavelet decomposition image can be adaptively switched between the soft threshold value and the hard threshold value, which is further beneficial to improve the image quality.

[0012] The threshold soft and hard control coefficients satisfy:

[0013] ,in, represents the threshold soft and hard control coefficient, represents the number of wavelet decomposition layers, represents the optimal number of wavelet decomposition layers;

[0014] The threshold correction coefficient satisfies:

[0015] ,in, Represents the threshold correction factor.

[0016] Optionally, the transfer function model satisfies the following formula:

[0017]

[0018] in, represents the transfer function, represents the Fourier transform spatial frequency To center frequency The distance represents the hyperparameter, Indicates the image sharpening strength.

[0019] Optionally, reconstructing the first optimized image for cultural relics environment monitoring to obtain a reconstructed image for cultural relics environment monitoring comprises the following steps:

[0020] Decompose the first optimized image of the cultural relics environment monitoring into a base layer image, a low-frequency detail layer image, a medium-frequency detail layer image and a high-frequency detail layer image; perform a first grayscale value adjustment on the base layer image to obtain a base layer adjustment image; perform high-frequency image enhancement adjustment on the high-frequency detail layer image to obtain a high-frequency detail layer adjustment image; perform adaptive contrast stretching adjustment on the medium-frequency detail layer image to obtain a medium-frequency detail layer adjustment image; perform adaptive fuzzy set enhancement adjustment on the low-frequency detail layer image to obtain a low-frequency detail layer adjustment image; combine the base layer adjustment image, the high-frequency detail layer adjustment image, the medium-frequency detail layer adjustment image and the low-frequency detail layer adjustment image for weighted fusion to obtain the reconstructed image of the cultural relics environment monitoring. The present invention improves the clarity of the infrared image by decomposing the first optimized image and adjusting each layer of the decomposed image, and then reconstructing the adjusted image by weighted fusion, which is further conducive to subsequent recognition and monitoring based on the image, and improves the monitoring accuracy of the present invention.

[0021] Optionally, the first grayscale value adjustment is performed based on the base layer image to obtain a base layer adjusted image, which satisfies the following formula:

[0022] , ,in, Indicates the grayscale value of the base layer to adjust the image. Represents the grayscale value of the base layer image, Represents the adaptive gray value adjustment weight, represents the golden ratio, represents the average gray value of the base layer image, Represents the standard deviation of the Gaussian function. By introducing the golden ratio to process the weight of the image grayscale information, it is beneficial to stretch the image contrast and improve the image brightness.

[0023] Optionally, the adaptive contrast stretching adjustment is performed based on the intermediate frequency detail layer image to obtain an intermediate frequency detail layer adjusted image, which satisfies the following formula: ,in, It represents the normalized and adjusted grayscale value of the intermediate frequency detail layer image. Represents the normalized grayscale value of the intermediate frequency detail layer image. represents the stretch coefficient, represents the adaptive contrast adjustment coefficient, represents the golden ratio, It represents the average value of the grayscale value of the intermediate frequency detail layer image after normalization. The present invention adjusts the main edge structure of the image through a nonlinear adaptive contrast adjustment coefficient to achieve the purpose of adaptive brightness adjustment.

[0024] Optionally, the adaptive fuzzy set enhancement adjustment is performed based on the low-frequency detail layer image to obtain a low-frequency detail layer adjusted image, which satisfies the following formula:

[0025] , ,in, Represents the fuzzy membership of the low-frequency detail layer image, Represents the maximum grayscale value of the low-frequency detail layer image, Represents the gray value of the low-frequency detail layer image, Indicates the fuzzy membership of the low-frequency detail layer to adjust the image. The present invention realizes the enhancement of image details through the adaptive fuzzy set enhancement method, which is conducive to highlighting the characteristics of image detail edges and further conducive to improving the monitoring accuracy of the present invention.

[0026] Optionally, the base layer adjusted image, the high frequency detail layer adjusted image, the medium frequency detail layer adjusted image and the low frequency detail layer adjusted image are combined for weighted fusion to obtain the cultural relics environment monitoring reconstructed image, which satisfies the following formula: ,in, represents the reconstructed image of cultural relics environment monitoring, Indicates Layer Adjustment Image The frequency of gray levels, represents a very small constant, Indicates The present invention uses the occurrence probability of each gray value in each decomposition layer to obtain the fusion weight of each decomposition layer, which is conducive to ensuring the quality of the image after fusion.

[0027] In the second aspect, in order to efficiently execute the real-time monitoring method of the intelligent environment of cultural relics provided by the present invention, the present invention also provides a real-time monitoring system of the intelligent environment of cultural relics, including a processor, an input device, an output device and a memory, wherein the processor, the input device, the output device and the memory are interconnected, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions to execute the real-time monitoring method of the intelligent environment of cultural relics as described in the first aspect of the present invention. The real-time monitoring system of the intelligent environment of cultural relics of the present invention has a compact structure and stable performance, and can stably execute the real-time monitoring method of the intelligent environment of cultural relics provided by the present invention, further improving the overall applicability and practical application ability of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 A flow chart of a method for real-time monitoring of cultural relics intelligent environment provided by an embodiment of the present invention;

[0029] Figure 2 A framework diagram of a real-time monitoring system for intelligent environment of cultural relics provided by an embodiment of the present invention;

[0030] Figure 3 A schematic diagram of the structure of a real-time monitoring device for an intelligent environment of cultural relics provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0031] The specific embodiments of the present invention will be described in detail below. It should be noted that the embodiments described herein are only for illustration and are not intended to limit the present invention. In the following description, a large number of specific details are set forth in order to provide a thorough understanding of the present invention. However, it is obvious to those of ordinary skill in the art that these specific details do not need to be adopted to implement the present invention. In other examples, in order to avoid confusing the present invention, known circuits, software or methods are not specifically described.

[0032] Throughout the specification, references to "one embodiment," "an embodiment," "an example," or "an example" mean that a particular feature, structure, or characteristic described in conjunction with the embodiment or example is included in at least one embodiment of the present invention. Therefore, the phrases "in one embodiment," "in an embodiment," "an example," or "an example" appearing in various places throughout the specification do not necessarily all refer to the same embodiment or example. In addition, particular features, structures, or characteristics may be combined in one or more embodiments or examples in any suitable combination and / or subcombination. In addition, it should be understood by those of ordinary skill in the art that the figures provided herein are for illustrative purposes and that the figures are not necessarily drawn to scale.

[0033] See also Figure 1 , in order to solve the problem of obtaining accurate spatiotemporal distribution information of temperature and humidity in the cultural relic preservation environment in real time online. The present invention provides a method for real-time monitoring of the intelligent environment of cultural relics, such as Figure 1 As shown, in one embodiment, the method includes the following steps:

[0034] S1. Obtain real-time infrared images of the cultural relics environment through infrared monitoring equipment.

[0035] Infrared monitoring equipment is a device that uses an infrared imaging system to monitor a target based on infrared technology, including infrared thermal imagers and infrared reflective imagers. Its main principle is to convert infrared signals from the target into electrical signals, amplify the electrical signals, and then perform three major processes: graphics, data, and control, and then transmit the processed signals. In the embodiment, the infrared monitoring equipment has the dual characteristics of receiving both visible light and infrared light, and uses active and passive infrared technologies to capture infrared radiation emitted by objects and convert them into visible temperature images or reflection images.

[0036] Furthermore, the infrared monitoring equipment is also integrated with a humidity sensor, which in turn uses the humidity sensor to obtain humidity information of the cultural relics preservation environment.

[0037] S2. Perform image enhancement processing based on the real-time monitoring infrared image of the cultural relics environment to obtain a first optimized image for cultural relics environment monitoring.

[0038] In an embodiment, the step S2 of performing image enhancement processing based on the real-time monitoring infrared image of the cultural relics environment to obtain a first optimized image for cultural relics environment monitoring includes the following steps:

[0039] S21. Using an improved wavelet transform algorithm, the real-time monitoring infrared image of the cultural relics environment is divided into a high-frequency component and a low-frequency component.

[0040] When acquiring infrared images of real-time monitoring of cultural relics environment, noise will be generated due to equipment or other reasons, also known as error. The wavelet transform algorithm processes the signal in the wavelet domain to effectively suppress the noise while retaining the signal's detailed features. Its core idea is to use wavelet transform to decompose the signal into different scales, and then perform threshold processing on the wavelet coefficients.

[0041] Furthermore, the improved wavelet transform algorithm satisfies the following formula:

[0042] ,in, Indicates Tier The wavelet coefficients after the improved wavelet transform algorithm are represents the symbolic function, Indicates Tier The standard wavelet coefficients, Indicates The wavelet threshold of the layer, represents the threshold soft and hard control coefficient, Indicates the first layer The standard wavelet coefficients of the components, represents the middle value, represents the discrete signal length, represents the golden ratio, Indicates The number of wavelet coefficients of the layer, represents the base of natural logarithms, Indicates the maximum value, Represents the threshold correction factor.

[0043] Furthermore, the threshold soft and hard control coefficients satisfy:

[0044] ,in, represents the threshold soft and hard control coefficient, represents the number of wavelet decomposition layers, represents the optimal number of wavelet decomposition layers;

[0045] The threshold correction coefficient satisfies:

[0046] ,in, Represents the threshold correction factor.

[0047] In the embodiment, a coordinate system is constructed with wavelet coefficients as the horizontal coordinate and wavelet coefficient energy as the vertical coordinate. As the decomposition scale, i.e., the number of wavelet decomposition layers, increases, the wavelet coefficient energy curve will have the first minimum point. The decomposition scale corresponding to this point is defined as ; Wavelet coefficient energy refers to the sum of the squares of the wavelet coefficients, which represents the total energy of the signal in the wavelet transform domain.

[0048] S22, performing logarithmic transformation on the high-frequency component and the low-frequency component, and performing Fourier transform according to the transformation result.

[0049] Specifically, logarithmic deformation is performed on the high frequency component and the low frequency component respectively. It should be understood that the high frequency component and the low frequency component should be subjected to logarithmic deformation with the same base, for example, both are subjected to logarithmic deformation with the natural logarithm as the base.

[0050] Fourier transform can express a function that meets certain conditions as a linear combination of trigonometric functions (sine and / or cosine functions) or their integrals. The core idea is to express a complex signal as a superposition of multiple sine waves and cosine waves of different frequencies, which is convenient for analysis and processing. This principle is based on the orthogonality and completeness of sine and cosine functions.

[0051] S23, constructing a transfer function model, using the transfer function model to correct the Fourier transform result, and performing inverse Fourier transform and inverse logarithmic deformation on the corrected result to obtain a first optimized image for cultural relics environment monitoring.

[0052] In the embodiment, the constructed transfer function model satisfies the following formula:

[0053]

[0054] in, represents the transfer function, represents the Fourier transform spatial frequency To center frequency The distance represents the hyperparameter, Indicates the image sharpening strength.

[0055] The smaller the value, the brighter the image will be, and some images will be overexposed; The larger the value, the darker the image brightness, which will cause the loss of image detail features. It needs to be obtained according to actual conditions and experiments. In the embodiments, ; Image sharpening intensity is the degree of enhancement of edge contrast and sense of distinction, which determines the clarity of edges and details in the image, as well as the sharpness of the overall picture. It is comprehensively considered and adjusted according to factors such as image content, sharpening algorithm and parameter settings. In the embodiment, .

[0056] Furthermore, the transfer function model is used to correct the high-frequency image and the low-frequency image after Fourier transformation respectively, and inverse Fourier transformation and inverse logarithmic deformation are performed, and finally the high-frequency and low-frequency components after the above deformation are fused. In an embodiment, the high-frequency and low-frequency components after the above deformation are fused to satisfy the following formula:

[0057]

[0058] in, Represents the first optimized image for cultural relics environmental monitoring, represents the low-frequency component, Represents high frequency components.

[0059] S3, reconstructing the first optimized image for monitoring the cultural relics environment to obtain a reconstructed image for monitoring the cultural relics environment.

[0060] In the embodiment, the step S3 of reconstructing the first optimized image for the cultural relics environment monitoring to obtain the reconstructed image for the cultural relics environment monitoring includes the following steps:

[0061] S31, decomposing the first optimized image for monitoring the cultural relics environment into a base layer image, a low-frequency detail layer image, a medium-frequency detail layer image and a high-frequency detail layer image.

[0062] The first optimized image for monitoring the cultural relics environment is decomposed into a base layer image, a low-frequency detail layer image, a medium-frequency detail layer image and a high-frequency detail layer image by a weighted guided filtering method.

[0063] It is understandable that the base layer image obtained by the weighted guided filtering method has a low noise content, but it still has the characteristics of low contrast and overall dark image; the low-frequency detail layer image contains a lot of image edge and detail information, but also contains a lot of noise; the medium-frequency detail layer image contains the main edge structure of the image; the high-frequency detail layer image has a low contrast.

[0064] S32: Perform a first grayscale value adjustment on the base layer image to obtain a base layer adjusted image.

[0065] Specifically, the first grayscale value adjustment is performed based on the base layer image to obtain a base layer adjusted image, which satisfies the following formula:

[0066] , ,in, Indicates the grayscale value of the base layer to adjust the image. Represents the grayscale value of the base layer image, Represents the adaptive gray value adjustment weight, represents the golden ratio, , represents the average gray value of the base layer image, Represents the standard deviation of the Gaussian function.

[0067] S33, performing high-frequency image enhancement adjustment on the high-frequency detail layer image to obtain a high-frequency detail layer adjusted image.

[0068] Specifically, an adaptive unsharp masking algorithm, an adaptive median filter or a bilateral filter adaptive gain unsharp masking algorithm is used to enhance and adjust the high-frequency detail layer image to obtain a high-frequency detail layer adjusted image.

[0069] S34, performing adaptive contrast stretching adjustment on the intermediate frequency detail layer image to obtain an intermediate frequency detail layer adjusted image.

[0070] Specifically, the adaptive contrast stretching adjustment is performed based on the intermediate frequency detail layer image to obtain an intermediate frequency detail layer adjusted image, which satisfies the following formula:

[0071] ,in, It represents the normalized and adjusted grayscale value of the intermediate frequency detail layer image. Represents the normalized grayscale value of the intermediate frequency detail layer image. represents the stretch coefficient, represents the adaptive contrast adjustment coefficient, represents the golden ratio, The stretch factor controls the extent of grayscale expansion in the dark area. It is necessary to select a suitable value according to the specific situation of the image and the processing requirements. In this embodiment, .

[0072] S35 , performing adaptive fuzzy set enhancement adjustment on the low-frequency detail layer image to obtain a low-frequency detail layer adjusted image.

[0073] In an embodiment, the adaptive fuzzy set enhancement adjustment is performed based on the low-frequency detail layer image to obtain a low-frequency detail layer adjusted image, which satisfies the following formula:

[0074] , ,in, Represents the fuzzy membership of the low-frequency detail layer image, Represents the maximum grayscale value of the low-frequency detail layer image, Represents the grayscale value of the low-frequency detail layer image, Indicates the fuzzy membership of the low-frequency detail layer to adjust the image. Indicates the blur enhancement threshold.

[0075] S36, combining the base layer adjusted image, the high-frequency detail layer adjusted image, the medium-frequency detail layer adjusted image and the low-frequency detail layer adjusted image for weighted fusion to obtain the cultural relics environment monitoring reconstructed image.

[0076] Specifically, the base layer adjusted image, the high frequency detail layer adjusted image, the medium frequency detail layer adjusted image and the low frequency detail layer adjusted image are combined for weighted fusion to obtain the cultural relics environment monitoring reconstructed image, which satisfies the following formula:

[0077] , among which, among which, represents the reconstructed image of cultural relics environment monitoring, Indicates Layer Adjustment Image The frequency of gray levels, represents the base layer image, represents the low-frequency detail layer image, represents the mid-frequency detail layer image, represents the high-frequency detail layer image, represents a very small constant, Indicates Layer adjustment image.

[0078] S4. Construct an environmental monitoring model, combine the environmental monitoring model with the cultural relics environmental monitoring reconstructed image, and complete intelligent real-time monitoring of the cultural relics environment.

[0079] In an embodiment, the constructed environment monitoring model may adopt the R-CNN series and YOLO algorithm and some other deep learning models such as SSD network.

[0080] Furthermore, the reconstructed image is converted into a standard video signal based on the monitoring of the cultural relic environment, and finally the temperature distribution of the cultural relic environment is represented by different colors or gray levels on the display device.

[0081] Furthermore, historical cultural relics environmental monitoring reconstructs images, temperature distribution and humidity information to establish a data set, and then uses the data set to train and verify the environmental monitoring model. Finally, the trained environmental monitoring model is used to complete intelligent real-time monitoring of the cultural relics environment.

[0082] See also Figure 2 In an embodiment, in order to efficiently execute the real-time monitoring method of the intelligent environment of cultural relics provided by the present invention, the present invention also provides a real-time monitoring system of the intelligent environment of cultural relics, including: an input device, an output device, a processor, and a memory, wherein the input device, the output device, the processor, and the memory are interconnected, and the memory contains program instructions, and the program instructions are used for the steps of the real-time monitoring method of the intelligent environment of cultural relics. The real-time monitoring system of the intelligent environment of cultural relics of the present invention has a compact structure and stable performance, and can stably execute the real-time monitoring method of the intelligent environment of cultural relics of the present invention, further improving the overall applicability and practical application ability of the present invention.

[0083] In an embodiment, the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. An input device may be used to obtain data information. An output device may be used to output the results obtained by storing program instructions contained in a computer program in a memory provided by the present invention. The memory may include a read-only memory and a random access memory, and provide instructions and data to the processor. A portion of the memory may also include a non-volatile random access memory.

[0084] In yet another alternative embodiment, see Figure 3 In order to efficiently execute the real-time monitoring method of the intelligent environment of cultural relics provided by the present invention, this embodiment also provides a real-time monitoring device of the intelligent environment of cultural relics, such as Figure 3 As shown, including:

[0085] The memory 10 is used to store computer programs; the processor 20 is used to execute computer programs to implement the above-mentioned cultural relics intelligent environment real-time monitoring method. The memory 10, the processor 20, the communication interface 31 and the communication bus 32. The memory 10, the processor 20, and the communication interface 31 all communicate with each other through the communication bus 32.

[0086] In an embodiment, the memory 10 is used to store one or more program instructions. The memory 10 may store program instructions for implementing the following functions:

[0087] Through infrared monitoring equipment, a real-time monitoring infrared image of the cultural relics environment is obtained; image enhancement processing is performed based on the real-time monitoring infrared image of the cultural relics environment to obtain a first optimized image for monitoring the cultural relics environment; image reconstruction is performed on the first optimized image for monitoring the cultural relics environment to obtain a reconstructed image for monitoring the cultural relics environment; an environmental monitoring model is constructed, and the intelligent real-time monitoring of the cultural relics environment is completed by combining the environmental monitoring model and the reconstructed image for monitoring the cultural relics environment.

[0088] In one possible implementation, the memory 10 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, and at least one application required for a function, etc.; the data storage area may store data created during use. In addition, the memory 10 may include a read-only memory and a random access memory, and provide instructions and data to the processor. A portion of the memory may also include NVRAM. The memory stores an operating system and operating instructions, executable modules or data structures, or a subset thereof, or an extended set thereof, wherein the operating instructions may include various operating instructions for implementing various operations. The operating system may include various system programs for implementing various basic tasks and processing hardware-based tasks.

[0089] The processor 20 may be a central processing unit (CPU), an application specific integrated circuit, a digital signal processor, a field programmable gate array or other programmable logic device, and the processor 20 may be a microprocessor or any conventional processor, etc. The processor 20 may call a program stored in the memory 10. The communication interface 31 may be an interface of a communication module, and is used to connect with other devices or systems.

[0090] Of course, it should be noted that Figure 3 The structure shown does not constitute a limitation on the real-time monitoring device for the intelligent environment of cultural relics in this embodiment. In actual applications, the real-time monitoring device for the intelligent environment of cultural relics may include Figure 3 More or fewer components than shown, or combinations of certain components.

[0091] The embodiment also provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned method for real-time monitoring of the intelligent environment of cultural relics are implemented.

[0092] The storage medium may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0093] In summary, the present invention solves the problem of real-time and accurate monitoring of the temperature and humidity distribution of the cultural relic preservation environment by enhancing the infrared image and then reconstructing it, and then completing the identification of the environmental temperature change according to the reconstructed image, which is conducive to ensuring that the cultural relics are in the best preservation environment. At the same time, the present invention can also monitor the temperature change of the cultural relic itself in real time. Once an abnormal temperature change is found, such as a sudden increase or decrease, it may indicate that the cultural relic has potential problems, such as disease, insect infestation or fire. At this time, the protection personnel can immediately take measures to intervene to prevent the problem from further deteriorating; further, the present invention can also quickly find the disease points on the cultural relic, such as small cracks on the murals and insect-infested areas on the wooden cultural relics, which is conducive to timely discovery and repair of these disease points, which can extend the life of the cultural relic and maintain its integrity and authenticity; further, it can also realize all-round monitoring of the cultural relic area. Once a heat source appears, such as smoke or flames in the early stage of a fire, it can be quickly captured and an alarm can be issued; it can even detect hidden heat sources, such as people or animals hidden in the dark or in the grass, thereby effectively preventing the occurrence of theft incidents.

[0094] Therefore, the present invention effectively overcomes various shortcomings in the prior art and has high industrial utilization value.

[0095] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope recorded in the present invention.

Claims

1. A method for real-time monitoring of cultural relics intelligent environment, characterized in that: The real-time monitoring method of the cultural relics intelligent environment comprises the following steps: Obtain real-time infrared images of the cultural relics environment through infrared monitoring equipment; Performing image enhancement processing based on the real-time monitoring infrared image of the cultural relics environment to obtain a first optimized image for cultural relics environment monitoring; Reconstructing the first optimized image for cultural relics environment monitoring to obtain a reconstructed image for cultural relics environment monitoring; Constructing an environmental monitoring model, combining the environmental monitoring model with the cultural relics environmental monitoring reconstructed image, and completing intelligent real-time monitoring of the cultural relics environment; The step of performing image enhancement processing based on the real-time monitoring infrared image of the cultural relics environment to obtain a first optimized image for cultural relics environment monitoring comprises the following steps: Using an improved wavelet transform algorithm, the real-time monitoring infrared image of the cultural relics environment is divided into a high-frequency component and a low-frequency component; Performing logarithmic deformation on the high-frequency component and the low-frequency component, and performing Fourier transform according to the deformation result; Constructing a transfer function model, using the transfer function model to correct the Fourier transform result, and performing inverse Fourier transform and antilogarithmic deformation on the corrected result to obtain the first optimized image for cultural relics environment monitoring; The improved wavelet transform algorithm satisfies the following formula: ， ， in, Indicates Tier The wavelet coefficients after the improved wavelet transform algorithm are represents the symbolic function, Indicates Tier The standard wavelet coefficients, Indicates The wavelet threshold of the layer, represents the threshold soft and hard control coefficient, Indicates the first layer The standard wavelet coefficients of the components, represents the middle value, represents the discrete signal length, represents the golden ratio, Indicates The number of wavelet coefficients of the layer, represents the base of natural logarithms, Indicates the maximum value, represents the threshold correction coefficient; The threshold soft and hard control coefficients satisfy: ， in, represents the threshold soft and hard control coefficient, represents the number of wavelet decomposition layers, represents the optimal number of wavelet decomposition layers; The threshold correction coefficient satisfies: ， in, represents a threshold correction coefficient; the image reconstruction of the first optimized image for cultural relics environment monitoring to obtain a reconstructed image for cultural relics environment monitoring comprises the following steps: Decomposing the first optimized image for monitoring the cultural relics environment into a base layer image, a low-frequency detail layer image, a medium-frequency detail layer image and a high-frequency detail layer image; Performing a first grayscale value adjustment on the base layer image to obtain a base layer adjusted image; Performing high-frequency image enhancement adjustment on the high-frequency detail layer image to obtain a high-frequency detail layer adjusted image; Performing adaptive contrast stretching adjustment on the intermediate frequency detail layer image to obtain an intermediate frequency detail layer adjusted image; Performing adaptive fuzzy set enhancement adjustment on the low-frequency detail layer image to obtain a low-frequency detail layer adjusted image; The base layer adjusted image, the high-frequency detail layer adjusted image, the medium-frequency detail layer adjusted image and the low-frequency detail layer adjusted image are combined for weighted fusion to obtain the cultural relics environment monitoring reconstructed image.

2. The method for real-time monitoring of cultural relics intelligent environment according to claim 1 is characterized in that: The transfer function model satisfies the following formula: ， in, represents the transfer function, represents the Fourier transform spatial frequency To center frequency The distance represents the hyperparameter, Indicates the image sharpening strength.

3. The method for real-time monitoring of cultural relics intelligent environment according to claim 1 is characterized in that: The first grayscale value adjustment is performed based on the base layer image to obtain a base layer adjusted image, which satisfies the following formula: ， in, Indicates the grayscale value of the base layer to adjust the image. Represents the grayscale value of the base layer image, Represents the adaptive gray value adjustment weight, represents the golden ratio, represents the average gray value of the base layer image, Represents the standard deviation of the Gaussian function.

4. The method for real-time monitoring of cultural relics intelligent environment according to claim 1 is characterized in that: Based on the intermediate frequency detail layer image, the adaptive contrast stretching adjustment is performed to obtain an intermediate frequency detail layer adjusted image, which satisfies the following formula: ， ， in, It represents the normalized and adjusted grayscale value of the intermediate frequency detail layer image. Represents the normalized grayscale value of the intermediate frequency detail layer image. represents the stretch coefficient, represents the adaptive contrast adjustment coefficient, represents the golden ratio, Represents the normalized average grayscale value of the intermediate frequency detail layer image.

5. The method for real-time monitoring of cultural relics intelligent environment according to claim 1 is characterized in that: The adaptive fuzzy set enhancement adjustment is performed based on the low-frequency detail layer image to obtain a low-frequency detail layer adjusted image, which satisfies the following formula: ， ， in, Represents the fuzzy membership of the low-frequency detail layer image, Represents the maximum grayscale value of the low-frequency detail layer image, Represents the grayscale value of the low-frequency detail layer image, Indicates the fuzzy membership of the low-frequency detail layer to adjust the image. Indicates the blur enhancement threshold.

6. The method for real-time monitoring of cultural relics intelligent environment according to claim 1 is characterized in that: The weighted fusion of the base layer adjusted image, the high frequency detail layer adjusted image, the medium frequency detail layer adjusted image and the low frequency detail layer adjusted image is performed to obtain the cultural relics environment monitoring reconstructed image, which satisfies the following formula: ， in, represents the reconstructed image of cultural relics environment monitoring, Indicates Layer Adjustment Image The frequency of gray levels, represents a very small constant, Indicates Layer adjustment image.

7. A real-time monitoring system for intelligent environment of cultural relics, characterized in that: The cultural relics intelligent environment real-time monitoring system includes: an input device, an output device, a processor, and a memory. The input device, output device, processor, and memory are interconnected. The memory includes program instructions, and the program instructions are used to execute the cultural relics intelligent environment real-time monitoring method according to any one of claims 1 to 6.

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