A method, device, electronic equipment, and medium for detecting acts of vandalism against cultural relics.

Abstract

This application discloses a method, apparatus, electronic device, and medium for detecting acts of cultural relic vandalism. The method includes: detecting whether there are obstructions around a cultural relic within a preset area; selecting a target detection device from candidate detection devices based on the obstruction detection results; wherein the candidate detection devices include a radar device, a sound detection device, and a thermal imaging device; controlling the target detection device to detect within the preset area and determining the detection results; determining whether there are acts of vandalism against the cultural relic within the preset area based on the detection results; and detecting the acoustic signature characteristics and duration of sound within the preset area. This solution adaptively selects a target detection device to detect within the preset area based on the obstruction detection results, thereby avoiding the problem of false detections or missed detections due to the detection method being unsuitable for different scenarios, thus improving the accuracy and stability of the detection method for detecting acts of cultural relic vandalism.

Description

Technical Field

[0001] This application relates to the field of behavior detection technology, and in particular to a method, device, electronic device and medium for detecting cultural relic damage behavior. Background Technology

[0002] Many outdoor settings contain valuable cultural relics, equipment, and buildings. Due to their historical formation and operational requirements, these valuable artifacts can only be located outdoors, making effective security protection difficult. Individuals with malicious intent can easily damage or steal these artifacts.

[0003] Currently, the main method for protecting outdoor cultural relics involves using vibrating fiber optic devices combined with cameras for detection. However, vibrating fiber optic devices struggle to detect damage that hasn't actually touched the fiber optic cable, and they are ineffective at identifying incidents where the fiber optic cable has been touched during normal activities. They are also susceptible to external influences leading to misjudgments, and there are time delays in detection, resulting in high installation costs. Cameras, on the other hand, suffer from low detection accuracy due to limitations in their field of view and surrounding visibility. Summary of the Invention

[0004] This application provides a method, apparatus, electronic device, and medium for detecting acts of vandalism against cultural relics, thereby improving the accuracy of vandalism detection.

[0005] According to one aspect of this application, a method for detecting acts of damage to cultural relics is provided, the method comprising:

[0006] The system detects whether there are any obstructions around the cultural relics within a preset area, and selects a target detection device from candidate detection devices based on the obstruction detection results. The candidate detection devices include radar devices, sound detection devices, and thermal imaging devices.

[0007] The target detection device is controlled to perform detection within the preset area, and the detection result is determined.

[0008] Based on the detection results, it is determined whether there is any destructive behavior against cultural relics within the preset area. The voiceprint characteristics and duration of the sound in the preset area are detected.

[0009] According to one aspect of this application, a device for detecting acts of damage to cultural relics is provided, the device comprising:

[0010] The system detects whether there are any obstructions around the cultural relics within a preset area, and selects a target detection device from candidate detection devices based on the obstruction detection results. The candidate detection devices include radar devices, sound detection devices, and thermal imaging devices.

[0011] The target detection device is controlled to perform detection within the preset area, and the detection result is determined.

[0012] Based on the detection results, it is determined whether there is any destructive behavior against cultural relics within the preset area. The voiceprint characteristics and duration of the sound in the preset area are detected.

[0013] According to another aspect of this application, an electronic device is provided, the electronic device comprising:

[0014] At least one processor; and

[0015] Memory connected to at least one processor for data processing; wherein,

[0016] The memory stores a computer program that can be executed by at least one processor, such that the at least one processor is able to execute the cultural relic damage detection method of any embodiment of this application.

[0017] According to another aspect of this application, a computer-readable storage medium is provided, which stores computer instructions for causing a processor to execute the method for detecting cultural relic damage according to any embodiment of this application.

[0018] The technical solution of this application embodiment detects whether there are obstructions around cultural relics within a preset area, and selects a target detection device from candidate detection devices based on the obstruction detection results. The candidate detection devices include a radar device, a sound detection device, and a thermal imaging device. The target detection device is controlled to detect within the preset area, and the detection results are determined. Based on the detection results, it is determined whether there is any destructive behavior towards the cultural relics within the preset area. This solution adaptively selects a target detection device to detect the preset area based on the obstruction detection results, thereby avoiding the problem of false detections or missed detections due to the detection method being unsuitable for different scenarios. This improves the accuracy of detecting destructive behavior towards cultural relics and the stability of the detection method.

[0019] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent from the following description. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 A flowchart illustrating a method for detecting cultural relic damage as provided in this application embodiment;

[0022] Figure 2 A flowchart illustrating a method for detecting damage to cultural relics, provided in another embodiment of this application;

[0023] Figure 3 A flowchart of a method for detecting damage to cultural relics provided in another embodiment of this application;

[0024] Figure 4 A flowchart illustrating a method for detecting damage to cultural relics, provided in yet another embodiment of this application;

[0025] Figure 5 This is a schematic diagram of the structure of a device for detecting damage to cultural relics provided in an embodiment of this application;

[0026] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0027] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0028] It should be noted that the terms "first," "second," "third," "fourth," "actual," "preset," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0029] Figure 1This is a flowchart illustrating a method for detecting acts of vandalism against cultural relics, provided in an embodiment of this application. This embodiment is applicable to detecting vehicles honking their horns. Typically, this embodiment is applicable to detecting vehicles honking their horns without adding additional hardware. This method can be executed by a device for detecting acts of vandalism against cultural relics, which can be implemented in hardware and / or software and can be configured in an electronic device. Figure 1 As shown, the method includes:

[0030] S110. Detect whether there are obstructions around the cultural relics in the preset area, and select the target detection device from the candidate detection devices based on the obstruction detection results; wherein, the candidate detection devices include radar devices, sound detection devices and thermal imaging devices.

[0031] The preset area can be an area containing cultural relics that need protection. The radar device can be a target detection device that emits radar signals, and can be set up outside the preset area, detecting the preset area from any direction. If vegetation exists around the cultural relics in the preset area that may obstruct the relics, the radar device can be a low-frequency radar device. Because low-frequency radar devices have strong penetrating power, they can penetrate trees and dense vegetation to detect targets, thereby eliminating the impact of vegetation obstruction on behavior detection. The sound detection device is set up in the same way as the radar device; it can be set up at the same location as the radar device or at a different location. The thermal imaging device is a device that detects infrared energy (heat) non-contactly and converts it into an electrical signal. The thermal imaging device can generate thermal images and temperature values.

[0032] In this embodiment, different situations within the preset area require different candidate detection devices. For example, if there are obstructions around the cultural relics within the preset area, a regular radar may not be able to accurately detect targets intruding into the preset area, requiring the use of other candidate detection devices. If there are no obstructions around the cultural relics within the preset area, any two candidate detection devices can be selected to detect the preset area. Therefore, in this embodiment, the presence of obstructions around the cultural relics within the preset area is first detected. Based on the obstruction detection results, a target detection device is selected from the candidate detection devices to detect the preset area, thereby obtaining more accurate detection results.

[0033] For example, when detecting whether there are obstructions around a cultural relic within a preset area, a radar device installed around the preset area can be used. If the radar detection device continuously detects the target within a preset time period, it can be determined that there are obstructions around the cultural relic. The preset time period can be 5 days, 7 days, etc. Alternatively, an image acquisition device installed around the preset area can also be used to detect whether there are obstructions around the cultural relic. Generally, image acquisition devices perform better during the day, so they can be used to detect whether there are obstructions around the cultural relic during the day. At night, when visibility is poor and the image acquisition quality of the image acquisition device is poor, image acquisition devices are no longer used for detection.

[0034] S120. Control the target detection device to perform detection within the preset area and determine the detection result.

[0035] For example, for the selected target detection device, the target detection device is controlled to perform detection within a preset area, and the detection result is determined, thereby adaptively meeting the scene conditions within the current preset area, and accurately performing detection within the preset area without wasting detection resources.

[0036] S130. Based on the detection results, determine whether there is any act of damaging cultural relics within the preset area.

[0037] For example, based on the detection results of each target detection device, it can be determined whether there is any destructive behavior towards cultural relics in the preset area, thereby realizing the monitoring of cultural relics in the outdoor environment and preventing cultural relics in the outdoor environment from being wantonly destroyed.

[0038] In this embodiment of the application, selecting a target detection device from candidate detection devices based on the obstruction detection results includes:

[0039] If the obstruction detection result indicates that there are no obstructions around the cultural relic, then the target detection device includes at least two of the following: a radar device, a sound detection device, and a thermal imaging device.

[0040] If the obstruction detection result indicates that there is an obstruction around the cultural relic, the target detection device includes a sound detection device and a thermal imaging device, or a sound detection device and a radar device, or a radar device, a sound detection device and a thermal imaging device.

[0041] For example, if no obstructions are detected around the artifact, the target detection device selected from the candidate detection devices includes at least two of the following: a radar device, a sound detection device, and a thermal imaging device. By using at least two of these target detection devices in conjunction to detect the preset area, the accuracy of detection can be improved, solving the problem of false detections easily caused by environmental influences when using conventional image acquisition devices. Furthermore, using at least two target detection devices to detect the preset area allows for a more comprehensive assessment of the situation within the preset area, enabling the analysis of destructive behavior within the preset area based on the detection results of different types of indicators, thus improving the accuracy of detection.

[0042] If obstructions are detected around the artifact, the candidate detection devices selected include a sound detection device and a thermal imaging device, or a sound detection device and a radar device. Obstructions may affect the detection capabilities of some devices, making accurate detection difficult. Sound has strong penetrating power, allowing for sound detection within a preset area. Combining sound detection with thermal imaging further improves accuracy. Alternatively, radar (low-frequency radar with strong penetrating power) can be used for target detection. Detection can also be performed using radar, sound detection, and thermal imaging, improving accuracy and reducing false positives.

[0043] The technical solution of this application embodiment detects whether there are obstructions around cultural relics within a preset area, and selects a target detection device from candidate detection devices based on the obstruction detection results. The candidate detection devices include a radar device, a sound detection device, and a thermal imaging device. The target detection device is controlled to detect within the preset area, and the detection results are determined. Based on the detection results, it is determined whether there is any destructive behavior towards the cultural relics within the preset area. This solution adaptively selects a target detection device to detect the preset area based on the obstruction detection results, thereby avoiding the problem of false detections or missed detections due to the detection method being unsuitable for different scenarios. This improves the accuracy of detecting destructive behavior towards cultural relics and the stability of the detection method. The solution also detects the voiceprint characteristics and sound duration of sound within the preset area.

[0044] Figure 2 This is a flowchart illustrating a method for detecting damage to cultural relics, provided as another embodiment of this application. This embodiment is an optimization based on the above embodiment; schemes not described in detail in this embodiment are found in the above embodiment. Figure 2 As shown, the method in this embodiment of the application specifically includes the following steps:

[0045] S210. If the target detection device includes a radar device, then control the radar device to perform behavior detection on the target in the preset area and determine the first detection result.

[0046] Among them, behavior detection can detect the movement trajectory and dwell time of a target within a preset area.

[0047] In this embodiment, a radar device can transmit radar signals to a preset area at a preset frequency. If a target enters the preset area, the radar signal is reflected by the target and received by the radar device. After receiving the reflected radar signal, the radar device can perform feature analysis to identify the type of target, including people, vehicles, animals, etc. If the target is a person and / or a vehicle, behavior detection can continue. If the target is an animal, it can be ruled out that there is any intentional damage to the cultural relic, and behavior detection will not continue. After the radar device performs behavior detection on the target, a first detection result is determined.

[0048] S220. If the target detection device includes a sound detection device, then control the sound detection device to detect the voiceprint characteristics and sound duration of the sound in the preset area, and determine the second detection result.

[0049] For example, if a target entering the preset area engages in destructive behavior towards a cultural relic, such as cutting, striking, or dragging, a sound will be emitted. A sound detection device detects the sound within the preset area. If sound is detected, the voiceprint characteristics and sound duration are detected to determine whether the sound is caused by destructive behavior towards the cultural relic in the preset area, thus obtaining a second detection result.

[0050] S230. If the target detection device includes a thermal imaging device, the thermal imaging device is controlled to perform heat detection on a preset area to generate a thermal image. The heat generated by the destructive behavior is detected based on the thermal image, and a third detection result is determined.

[0051] For example, if a target entering the preset area engages in destructive behavior towards a cultural relic, such as cutting, striking, or dragging, heat will be generated on the damaged surface of the relic. A thermal imaging device can detect this heat in the preset area, presenting it as temperature. The thermal imaging device generates thermal images based on the heat in different areas, with areas of different temperatures appearing in different colors. The heat generated by the destructive behavior can be detected based on the thermal images; that is, based on the heat reflected in each area of ​​the thermal image, it can be determined whether destructive behavior exists in the preset area, resulting in a third detection result.

[0052] S240. Based on the detection results of the target detection device, determine whether there is any act of damaging cultural relics within the preset area.

[0053] For example, the presence of destructive behavior within a preset area can be determined based on the detection results of the target detection device. For instance, if the target detection device includes all candidate detection devices, and if the first detection result is that the target remains continuously in the preset area for a duration longer than a preset duration, the second detection result is the presence of sound indicating destructive behavior within the preset area, and the third detection result is the presence of heat generated by destructive behavior within the preset area, then it can be determined that destructive behavior exists within the preset area. If the first detection result is that the target does not remain continuously in the preset area, or the target remains continuously in the preset area but for a duration less than or equal to the preset duration, the second detection result is the absence of sound indicating destructive behavior within the preset area, and the third detection result is the absence of heat generated by destructive behavior within the preset area, then it can be determined that no destructive behavior exists within the preset area. In other cases, the presence of destructive behavior within the preset area can be determined by combining the time corresponding to each detection result.

[0054] In the technical solution of this application embodiment, if the target detection device includes a radar device, the radar device is controlled to perform behavior detection on the target in the preset area to determine a first detection result; if the target detection device includes a sound detection device, the sound detection device is controlled to detect the voiceprint characteristics and duration of sound in the preset area to determine a second detection result; if the target detection device includes a thermal imaging device, the thermal imaging device is controlled to perform heat detection on the preset area to generate a thermal image, and the heat generated by the destructive behavior is detected based on the thermal image to determine a third detection result. Based on the detection results of the target detection device, it is determined whether there is any destructive behavior against cultural relics in the preset area. The above solution solves the problems of low detection accuracy and high cost caused by susceptibility to external influences or performance limitations in current detection methods. By selecting a target detection device according to the specific scenario to detect the situation in the preset area from different aspects, the detection results from at least two aspects are combined to more comprehensively and accurately detect destructive behavior. Furthermore, the detection device has high stability, is not easily affected by external factors, and reduces costs.

[0055] Figure 3 This is a flowchart illustrating a method for detecting damage to cultural relics, provided as another embodiment of this application. This embodiment is an optimization based on the above embodiments; schemes not described in detail in this embodiment are found in the above embodiments. Figure 3 As shown, the method in this embodiment of the application specifically includes the following steps:

[0056] S310. If the target detection device includes a radar device, the radar device is used to detect targets appearing in a preset area and to track the targets for behavior detection.

[0057] For example, a radar device transmits radar signals to a preset area. If a target enters the preset area, the radar signal is reflected by the target and received by the radar device. The type of target can be identified based on the received radar signal; the type can include people, vehicles, animals, etc. For example, for the radar signal S(t,f), a short-time Fourier transform is used for analysis: S(t,f)=∫s(τ)ω(t-τ)e -j2πfτ dτ, where t is time and f is frequency. s(τ) is the received radar signal, and ω(t-τ) is the window function. The time-domain and frequency-domain characteristics of radar signals reflected from different types of targets can be predetermined and compared with the time-domain and frequency-domain characteristics of the currently received radar signal to determine the target type. If the target type is a destructive target, then behavior detection is performed on that target.

[0058] For example, a target can be tracked to determine whether it stays within a preset area and the duration of its stay within that area. Target tracking can be performed using a Kalman filter algorithm.

[0059] S320. Determine the first score value based on the time the target stays in the preset area, and use it as the first detection result.

[0060] For example, if a target is suspected of damaging cultural relics within a preset area, it will generally remain there for a period of time, but not for an excessively long period. If a target is detected remaining within the preset area, the duration of its stay is determined, and a first score is calculated based on this duration. This first score is then used as the first detection result.

[0061] S330. If the target detection device includes a sound detection device, and the sound detection device detects that there is a target sound signal in the preset area, then the voiceprint features of the target sound signal are compared with the preset voiceprint features for similarity; wherein, the preset voiceprint features are the sound signals of sounds generated by predetermined destructive behaviors.

[0062] For example, a sound detection device can detect sound within a preset area. If sound exists within the preset area, the sound detection device will obtain the target sound signal, identify the target sound signal, and determine whether it is a sound signal generated by destructive behavior.

[0063] Specifically, noise can be removed from the target sound signal first. For example, the frequency range corresponding to the sound produced by the destructive act can be predetermined. Noise signals outside this frequency range are removed from the target sound signal, resulting in a sound signal that, based on frequency analysis, is likely the source of the destructive act. Bandpass filters can be used for noise removal. For the noise-removed target sound signal, key features are extracted, including energy, frequency band, harmonic features, Mel-frequency cepstral coefficients, etc., to construct a feature vector.

[0064] For example, the sound signal of the destructive act can be predetermined as a preset voiceprint feature. For instance, destructive acts such as cutting, knocking, or dragging can be pre-created, and the sound signal can be collected using a sound detection device as the preset voiceprint feature. After the preset voiceprint feature undergoes a processing procedure to match the target sound signal, a similarity comparison is performed between the preset voiceprint feature and the target sound signal. The similarity comparison can employ methods such as distance similarity or cosine similarity.

[0065] S340. If the similarity is greater than or equal to a preset similarity threshold, then the target sound signal is determined to be the sound signal generated by the destructive behavior.

[0066] Assume the feature vector of the target sound signal is S A The preset feature vector of voiceprint features is S. B The similarity is

[0067]

[0068] Where i is the target sound signal number and n is the total number of target sound signals.

[0069] A preset similarity threshold (pre) can be determined in advance based on the actual situation. If the similarity (S) A ,S B If the similarity(pre) is greater than or equal to the value of the target sound signal, the target sound signal is determined to be a sound signal generated by the destructive behavior; otherwise, the target sound signal is determined not to be a sound signal generated by the destructive behavior.

[0070] S350. For the sound generated by continuous destructive behavior, determine a second score value based on the duration of the sound, as a second detection result.

[0071] For example, if a target damages cultural relics within a preset area, the sound generated by the destructive act will last for a period of time, but not for too long to be detected. The duration of the sound is determined for the continuous sounds generated by destructive acts. Specifically, for target sound signals corresponding to different times, if consecutive target sound signals are all sound signals generated by destructive acts, the duration of the sound is determined based on the time corresponding to each target sound signal, and a second score is determined based on the sound duration as the second detection result.

[0072] S360. If the target detection device includes a thermal imaging device, then the thermal imaging device is controlled to perform heat detection on a preset area to generate a thermal image, the heat source area in the thermal image is determined, and the temperature distribution characteristics in the heat source area are determined.

[0073] For example, a thermal imaging device is used to detect heat in a preset area to generate a thermal image. Heat source regions are then identified from the thermal image. Specifically, a pixel threshold T can be determined, and the thermal image can be classified based on this threshold to identify heat source regions and non-heat source regions. For each pixel in the thermal image, if the pixel value is greater than the pixel threshold T, the pixel is classified as a heat source region; otherwise, it is classified as a non-heat source region.

[0074] The pixel threshold T can be determined using algorithms such as minimizing intra-class variance or maximizing inter-class variance.

[0075] If a target causes damage to a cultural relic, the destructive tool will generate heat at the point of contact with the relic. For example, cutting a stone relic with a cutting tool will generate heat. It is possible to detect whether the temperature distribution characteristics within the heat source area match those generated by the destructive act, thereby determining whether the heat in the heat source area is indeed generated by the destructive act.

[0076] S370. Identify the heat generated by the destructive behavior based on the temperature distribution characteristics, and determine a third score value based on the duration of the heat generated by the destructive behavior, as the third detection result.

[0077] For example, if the heat is generated by destructive behavior, there is generally only high heat at the contact point, contact line, or contact surface between the tool and the artifact; that is, the temperature is concentrated at the contact point, contact line, or contact surface. Analysis of the temperature distribution characteristics can determine whether the temperature is concentrated, and thus whether the heat is generated by destructive behavior. A third score is determined based on the duration of the heat generated by the destructive behavior, serving as the third detection result. The duration of the heat is the duration during which the temperature distribution characteristics corresponding to the destructive behavior are maintained in the heat source area.

[0078] In this embodiment of the application, identifying the heat generated by the destructive behavior based on the temperature distribution characteristics includes:

[0079] Determine the average temperature of the heat source region;

[0080] The temperature standard deviation is determined based on the temperature values ​​of each pixel in the heat source region and the average temperature.

[0081] If the temperature standard deviation is less than a preset standard deviation threshold, then the heat in the heat source area is determined to be heat generated by destructive behavior.

[0082] For example, each pixel in a thermal image has a corresponding temperature value. The average temperature of the heat source region can be calculated based on the temperature values ​​of each pixel in the heat source region.

[0083]

[0084] Where R is the heat source region, T avg The average temperature is T(x,y), where T(x,y) is the temperature value at pixel (x,y), and A is the total number of pixels in the heat source region.

[0085] Based on the temperature values ​​and average temperature of each pixel in the heat source area, the temperature standard deviation is determined to reflect the temperature distribution characteristics, such as the degree of temperature dispersion. Among them, T std This represents the temperature standard deviation.

[0086] If the temperature standard deviation is less than the preset standard deviation threshold, it is determined that the temperature dispersion is small, that is, it is concentrated in the contact area between the destructive tool and the cultural relic, and the heat in the heat source area can be determined to be the heat generated by the destructive behavior.

[0087] The temperature standard deviation in the above scheme is one feasible method. Other algorithms that can reflect the characteristics of temperature distribution can also be used, such as temperature range, mean difference, variance, etc., which reflect the degree of temperature dispersion.

[0088] S380. Based on the detection results of the target detection device, determine whether there is any act of damaging cultural relics within the preset area.

[0089] This application provides a method for detecting acts of vandalism against cultural relics. If the target detection device includes a radar device, the radar device detects targets appearing within a preset area and tracks the targets to detect their behavior. A first score is determined based on the time the target stays within the preset area, serving as a first detection result. If the target detection device includes a sound detection device, and the sound detection device detects a target sound signal within the preset area, the voiceprint features of the target sound signal are compared with preset voiceprint features for similarity. If the similarity is greater than or equal to a preset similarity threshold, the target sound signal is determined to be a sound signal generated by vandalism. For sounds generated by continuous vandalism, a second score is determined based on the duration of the sound, serving as a second detection result. If the target detection device includes a thermal imaging device, the thermal imaging device is controlled to perform heat detection on the preset area to generate a thermal image, identify heat source areas in the thermal image, and determine the temperature distribution characteristics within the heat source areas. The heat generated by the vandalism is identified based on the temperature distribution characteristics, and a third score is determined based on the duration of the heat generated by the vandalism, serving as a third detection result. Based on the detection results of the target detection device, it is determined whether vandalism against cultural relics exists within the preset area. The above scheme detects whether there are features in the preset area that match the characteristics of destructive behavior, and further judges the possibility of destructive behavior by combining time. It detects the situation in the preset area from multiple aspects such as the target's behavior, sound and heat, which improves the accuracy of destructive behavior detection.

[0090] Figure 4 This is a flowchart illustrating a method for detecting damage to cultural relics, provided as another embodiment of this application. This embodiment is an optimization based on the above embodiments; schemes not described in detail in this embodiment are found in the above embodiments. Figure 4 As shown, the method in this embodiment of the application specifically includes the following steps:

[0091] S410. If the target detection device includes a radar device, then control the radar device to perform behavior detection on the target in the preset area and determine the first detection result.

[0092] S420. If the target detection device includes a sound detection device, then control the sound detection device to detect the voiceprint characteristics and sound duration of the sound in the preset area, and determine the second detection result.

[0093] S430. If the target detection device includes a thermal imaging device, the thermal imaging device is controlled to perform heat detection on a preset area to generate a thermal image. The heat generated by the destructive behavior is detected based on the thermal image, and a third detection result is determined.

[0094] S440. The score values ​​corresponding to the detection results of the target detection device are weighted and summed to obtain the overall score value.

[0095] S450. If the overall score is greater than the preset score threshold, it is determined that there is destructive behavior in the preset area.

[0096] In this embodiment of the application, the first detection result includes a first score value, the second detection result includes a second score value, and the third detection result includes a third score value.

[0097] The process of determining the score includes:

[0098] Set the score corresponding to the preset time to the highest value;

[0099] If the time is less than the preset time, the score is proportional to the time.

[0100] If the time is longer than the preset time, the score value is inversely proportional to the time.

[0101] Wherein, if the time is the time the target stays in the preset area, the score is the first score; if the time is the duration of the sound generated by the destructive behavior, the score is the second score; if the time is the duration of the heat generated by the destructive behavior, the score is the third score.

[0102] For example, the duration of a target's stay, sound duration, and heat duration within a preset area are not necessarily indicative of sabotage if they are longer. Generally, sabotage occurs only for a short period to avoid detection. Therefore, a preset time can be established, which can be a single point in time or a time interval. It is considered that sabotage is most likely to occur when the time is at or within the preset time interval. Thus, the score corresponding to the preset time is set to the highest value, reflecting the highest probability of sabotage. If the time is less than the preset time, the score is directly proportional to the time, indicating that the longer the time, the greater the likelihood of sabotage. If the time is greater than the preset time, the score is inversely proportional to the time, indicating that the longer the time, the lower the likelihood of sabotage. The range of the score can be determined based on the actual situation, for example, within the range of 0-100 or 0-1. The first, second, and third score values ​​should have the same range to ensure consistent evaluation criteria.

[0103] In this embodiment, the weights corresponding to the three scoring values ​​can be predetermined, representing the importance of the three scoring values ​​to the final detection result. The weights can be determined and adjusted according to the actual situation, and the sum of the weights of the three scoring values ​​is 1. For example, if the radar device detects that the target type is not human, the weight of the first scoring value can be determined to be 0, and the sum of the second and third scoring values ​​can be 1. Alternatively, the weight of the first scoring value can be set to be greater than the weight of the second scoring value, and the weight of the second scoring value can be greater than the weight of the third scoring value.

[0104] For example, the total score obtained by weighted summing of the first, second, and third score values ​​is F. 总 =F R *w r +F S *w s +F T *w t , of which F R The first score is F. S The second score, F T As the third rating value, w r As the weight of the first score, w s As the weight of the second score, w t This is the weight of the third score. A preset scoring threshold can be set in advance. If the total score is greater than the preset scoring threshold, it is determined that there is damage to cultural relics within the preset area, and an alarm can be triggered. Otherwise, it is determined that there is no damage to cultural relics within the preset area, and no alarm is triggered.

[0105] This application provides a method for detecting acts of vandalism against cultural relics. A weighted sum of the first, second, and third score values ​​is obtained to arrive at a total score value. If the total score value is greater than a preset score threshold, it is determined that vandalism exists within a preset area. By obtaining a quantified score value based on the detection results of three detection devices, and determining whether vandalism exists within the preset area based on the total score value, the method more accurately detects vandalism, is less susceptible to external environmental influences, and exhibits high stability.

[0106] Figure 5 This is a schematic diagram of a device for detecting cultural relic damage, provided in an embodiment of this application. This device can execute the method for detecting cultural relic damage provided in any embodiment of this application, and possesses the corresponding functional modules and beneficial effects for executing the method. Figure 5 As shown, the device includes:

[0107] The scene detection module 510 is used to detect whether there are obstructions around the cultural relics in the preset area, and select the target detection device from the candidate detection devices based on the obstruction detection results; wherein, the candidate detection devices include radar devices, sound detection devices and thermal imaging devices.

[0108] The detection result determination module 520 is used to control the target detection device to perform detection within the preset area and determine the detection result;

[0109] The destructive behavior determination module 530 is used to determine, based on the detection results, whether there is any destructive behavior against cultural relics within the preset area.

[0110] In this embodiment, the scene detection module 510 selects a target detection device from candidate detection devices based on the occlusion detection results, including:

[0111] If the obstruction detection result indicates that there are no obstructions around the cultural relic, then the target detection device includes at least two of the following: a radar device, a sound detection device, and a thermal imaging device.

[0112] If the obstruction detection result indicates that there is an obstruction around the cultural relic, the target detection device includes a sound detection device and a thermal imaging device, or a sound detection device and a radar device, or a radar device, a sound detection device and a thermal imaging device.

[0113] In this embodiment, the detection result determination module 520 controls the target detection device to perform detection within the preset area and determine the detection result, including:

[0114] If the target detection device includes a radar device, then the radar device is controlled to perform behavior detection on the target in the preset area to determine the first detection result;

[0115] If the target detection device includes a sound detection device, then the sound detection device is controlled to detect the voiceprint features and sound duration of the sound in the preset area to determine the second detection result;

[0116] If the target detection device includes a thermal imaging device, then the thermal imaging device is controlled to perform heat detection on a preset area to generate a thermal image, and the heat generated by the destructive behavior is detected based on the thermal image to determine a third detection result.

[0117] In this embodiment, the detection result determination module 520 controls the target detection device to perform detection within the preset area and determine the detection result, including:

[0118] If the sound detection device detects a target sound signal within the preset area, the similarity of the voiceprint features of the target sound signal with the preset voiceprint features is compared; wherein, the preset voiceprint features are the sound signals of sounds generated by predetermined destructive acts.

[0119] If the similarity is greater than or equal to a preset similarity threshold, then the target sound signal is determined to be the sound signal generated by the destructive behavior;

[0120] For the sound generated by continuous destructive behavior, a second score is determined based on the duration of the sound, which serves as the second detection result.

[0121] In this embodiment, the detection result determination module 520 controls the target detection device to perform detection within the preset area and determine the detection result, including:

[0122] Identify the heat source region in the thermal image and determine the temperature distribution characteristics within the heat source region;

[0123] The heat generated by the destructive behavior is identified based on the temperature distribution characteristics, and a third score is determined based on the duration of the heat generated by the destructive behavior, which serves as the third detection result.

[0124] In this embodiment of the application, the detection result determination module 520 identifies the heat generated by the destructive behavior based on the temperature distribution characteristics, including:

[0125] Determine the average temperature of the heat source region;

[0126] The temperature standard deviation is determined based on the temperature values ​​of each pixel in the heat source region and the average temperature.

[0127] If the temperature standard deviation is less than a preset standard deviation threshold, then the heat in the heat source area is determined to be heat generated by destructive behavior.

[0128] In this embodiment of the application, the device further includes:

[0129] The maximum value determination module is used to ensure that the score value corresponding to the preset time is the maximum value.

[0130] A proportionality determination module is used to determine that if the time is less than a preset time, the score value is proportional to the time.

[0131] An inverse ratio determination module is used to determine that if the time is greater than a preset time, the score value is inversely proportional to the time.

[0132] Wherein, if the time is the time the target stays in the preset area, the score is the first score; if the time is the duration of the sound generated by the destructive behavior, the score is the second score; if the time is the duration of the heat generated by the destructive behavior, the score is the third score.

[0133] In this embodiment of the application, the first detection result includes a first score value, the second detection result includes a second score value, and the third detection result includes a third score value;

[0134] The destructive behavior determination module 530 determines, based on the detection results, whether any destructive behavior towards cultural relics exists within the preset area, including:

[0135] The overall score is obtained by weighted summing of the score values ​​corresponding to the detection results of the target detection device.

[0136] If the overall score is greater than the preset score threshold, then it is determined that there is destructive behavior within the preset area.

[0137] The cultural relic damage detection device provided in this application can execute the cultural relic damage detection method provided in any embodiment of this application, and has the corresponding functional modules and beneficial effects of the method.

[0138] Figure 6 A schematic diagram of an electronic device 10, which can be used to implement embodiments of this application, is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (such as helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the application described and / or claimed herein.

[0139] like Figure 6As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, connected to the at least one processor 11 for data processing. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded into the RAM 13 from storage unit 18. The RAM 13 can also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0140] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of monitors, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and data processing unit 19, such as network card, modem, wireless data processing transceiver, etc. Data processing unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0141] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as methods for detecting acts of cultural relic damage.

[0142] In some embodiments, the method for detecting acts of cultural relic damage can be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 10 via ROM 12 and / or data processing unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the method for detecting acts of cultural relic damage described above can be performed. Alternatively, in other embodiments, processor 11 can be configured to perform the method for detecting acts of cultural relic damage by any other suitable means (e.g., by means of firmware).

[0143] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0144] Computer programs used to implement the methods of this application may be written in any combination of one or more programming languages. These computer programs may be provided to the processor of a general-purpose computer, a special-purpose computer, or other programmable anti-vandalism detection device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0145] In the context of this application, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium can be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0146] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0147] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected through digital data processing (e.g., data processing networks) of any form or medium. Examples of data processing networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0148] A computing system can include clients and servers. Clients and servers are generally geographically separated and typically interact via data processing networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0149] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this application can be executed in parallel, sequentially, or in different orders, as long as the desired information of the technical solution of this application can be achieved, and this is not limited herein.

[0150] The specific embodiments described above do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method of detecting a cultural property destruction behavior, characterized by, The method includes: The system detects whether there are any obstructions around the cultural relics within a preset area, and selects the target detection device from the candidate detection devices based on the obstruction detection results; the candidate detection devices include radar devices, sound detection devices, and thermal imaging devices. The target detection device is controlled to perform detection within the preset area, and the detection result is determined. Based on the detection results, determine whether there are any acts of damage to cultural relics within the preset area; Controlling the target detection device to perform detection within the preset area and determining the detection result includes: If the target detection device includes a radar device, then the radar device is controlled to perform behavior detection on the target in the preset area to determine the first detection result; If the target detection device includes a sound detection device, then the sound detection device is controlled to detect the voiceprint features and sound duration of the sound in the preset area to determine the second detection result; If the target detection device includes a thermal imaging device, then the thermal imaging device is controlled to perform heat detection on a preset area to generate a thermal image, and the heat generated by the destructive behavior is detected based on the thermal image to determine a third detection result.

2. The method of claim 1, wherein, The target detection device is selected from the candidate detection devices based on the obstruction detection results, including: If the obstruction detection result indicates that there are no obstructions around the cultural relic, then the target detection device includes at least two of the following: a radar device, a sound detection device, and a thermal imaging device. If the obstruction detection result indicates that there is an obstruction around the cultural relic, the target detection device includes a sound detection device and a thermal imaging device, or a sound detection device and a radar device, or a radar device, a sound detection device and a thermal imaging device.

3. The method according to claim 1, characterized in that, The sound detection device is controlled to detect the voiceprint characteristics and duration of sound in a preset area, and a second detection result is determined, including: If the sound detection device detects a target sound signal within the preset area, the similarity of the voiceprint features of the target sound signal with the preset voiceprint features is compared; wherein, the preset voiceprint features are the sound signals of sounds generated by predetermined destructive acts. If the similarity is greater than or equal to a preset similarity threshold, then the target sound signal is determined to be the sound signal generated by the destructive behavior; For the sound generated by continuous destructive behavior, a second score is determined based on the duration of the sound, which serves as the second detection result.

4. The method according to claim 1, characterized in that, Based on the thermal image, the heat generated by the destructive behavior is detected, and a third detection result is determined, including: Identify the heat source region in the thermal image and determine the temperature distribution characteristics within the heat source region; The heat generated by the destructive behavior is identified based on the temperature distribution characteristics, and a third score is determined based on the duration of the heat generated by the destructive behavior, which serves as the third detection result.

5. The method according to claim 4, characterized in that, Identifying the heat generated by the destructive behavior based on the temperature distribution characteristics includes: Determine the average temperature of the heat source region; The temperature standard deviation is determined based on the temperature values ​​of each pixel in the heat source region and the average temperature. If the temperature standard deviation is less than a preset standard deviation threshold, then the heat in the heat source area is determined to be heat generated by destructive behavior.

6. The method according to any one of claims 1-5, characterized in that, The process of determining the score includes: Set the score corresponding to the preset time to the highest value; If the time is less than the preset time, the score is proportional to the time. If the time is longer than the preset time, the score value is inversely proportional to the time. Wherein, if the time is the dwell time of the target detected by the radar device within the preset area, the score value is a first score value determined based on the dwell time; if the time is the duration of the sound generated by the destructive act, the score value is a second score value; if the time is the duration of the heat generated by the destructive act, the score value is a third score value.

7. The method according to claim 6, wherein the first detection result includes a first score value, the second detection result includes a second score value, and the third detection result includes a third score value; Based on the detection results, determine whether there is any act of vandalism against cultural relics within the preset area, including: The overall score is obtained by weighted summing of the score values ​​corresponding to the detection results of the target detection device. If the overall score is greater than the preset score threshold, then it is determined that there is destructive behavior within the preset area.

8. An electronic device, characterized in that, The electronic device includes: At least one processor; and The memory is connected to the at least one processor for data processing; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the method for detecting cultural relic damage as described in any one of claims 1-7.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the method for detecting cultural relic damage as described in any one of claims 1-7.

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