Artificial intelligence-based cultural relic safety assessment and analysis system

Abstract

The invention discloses a cultural relic safety assessment and analysis system based on artificial intelligence, and the system comprises a data collection module, a data analysis module, a scheme generation module, a user interaction interface, an execution and monitoring module, and a maintenance and updating module. The cultural relics are in a good storage environment, the safety of the cultural relics is improved, meanwhile, early warning can be conducted on external disasters, and the protection effect of the cultural relics is improved.

Description

Technical Field

[0001] The invention belongs to the technical field of cultural relics safety assessment and analysis systems, and relates to a cultural relics safety assessment and analysis system based on artificial intelligence. Background Art

[0002] Museums house a large number of precious cultural relics, which are not only important heritages of human civilization, but also indispensable physical evidence for studying history, culture, art and other fields. However, due to changes in the natural environment, the influence of human factors and the threat of natural disasters, cultural relics face many security risks.

[0003] At present, the cultural relics protection measures commonly adopted by museums are mainly to maintain constant temperature, humidity and air quality in the cultural relics storage environment by installing air conditioners, dehumidifiers, air purifiers and other equipment;

[0004] Use anti-vibration tables, anti-vibration brackets, UV-proof glass and other facilities to reduce the direct impact of the external environment on cultural relics.

[0005] Install various sensors to monitor environmental parameters in real time, and detect potential problems through manual inspections.

[0006] and developing detailed emergency response plans, including response measures in the event of fire, flood, earthquake, etc.;

[0007] Although these measures have protected cultural relics to a certain extent, there are still the following shortcomings:

[0008] Lack of intelligence: Existing systems mostly rely on manual operations and cannot achieve all-weather, all-round real-time monitoring and automatic response.

[0009] Limited data analysis capabilities: Traditional methods make it difficult to conduct in-depth analysis of large amounts of environmental data and are unable to accurately identify the main risk factors facing cultural relics.

[0010] Insufficient personalized protection: Cultural relics made of different materials and from different ages have different sensitivities to the environment, and existing measures often make it difficult to achieve personalized protection.

[0011] Slow emergency response: When faced with sudden disasters, the speed and efficiency of human intervention are low, and the best time for protection may be missed. Therefore, it is necessary to design an artificial intelligence-based cultural relics safety assessment and analysis system to solve the above problems. Summary of the invention

[0012] In order to achieve the above object, the technical solution adopted by the present invention is as follows: The present invention comprises

[0013] Data collection module: used to collect basic information of cultural relics, storage environment conditions and relevant data of natural disasters, and provide basic data of cultural relics for data analysis module;

[0014] Data analysis module: Process and analyze the collected data to assess the current storage environment of the cultural relics, as well as the status of the cultural relics and potential risks;

[0015] Plan generation module: based on the analysis results of the data analysis module on the cultural relics, it generates protection plans for the cultural relics, including preventive protection plans and emergency treatment measures plans;

[0016] User interaction interface: provides a platform for users to interact with the system, which can display the information analyzed by the data analysis module and the cultural relics protection plan generated, and is used for users to select the protection plan for cultural relics and provide feedback;

[0017] Execution and monitoring module: responsible for implementing the protection plan and monitoring the implementation effect of the plan in real time to ensure the safety of cultural relics.

[0018] Preferably, the data collection module comprises:

[0019] Cultural relics basic information collection submodule: responsible for collecting the basic information of cultural relics, including the name, type, material, size, age and origin of cultural relics. The cultural relics basic information collection submodule is combined with the environmental data collection submodule and the disaster information collection submodule to provide the basic data of cultural relics for the data analysis module;

[0020] Environmental data collection submodule: collects various parameters of the environment where the cultural relics are located in real time, and works synchronously with the cultural relics basic information collection submodule to ensure that the environmental data matches the specific cultural relics and provide accurate data for the data analysis module;

[0021] Disaster information collection submodule: Integrates various disaster warning system interfaces to obtain real-time warning information on natural disasters such as earthquakes, floods and typhoons, and works in collaboration with the environmental data collection submodule to collect information on the storage environment of cultural relics and the external disaster environment.

[0022] Preferably, the data analysis module includes:

[0023] Physical and chemical property analysis submodule: Based on the material and structure of the cultural relics, the physical and chemical principles are used to analyze their stability under different environmental conditions, which is linked with the risk assessment submodule;

[0024] Historical data mining submodule: uses big data technology to analyze historical records, identify the main causes of damage to cultural relics and storage patterns, and combines it with the physical and chemical properties analysis submodule;

[0025] Risk assessment submodule: Integrate the results of the physical and chemical properties analysis submodule and the historical data mining submodule to assess the risk level faced by each cultural relic, provide information for the personalized protection plan design submodule, and convert the assessment results into specific protection recommendations.

[0026] Preferably, the solution generation module includes:

[0027] Personalized protection plan design submodule: Based on the risk assessment results of cultural relics, design protection measures that meet the characteristics of cultural relics, receive the risk assessment results from the data analysis module, and output personalized protection plans;

[0028] Multi-scheme comparison submodule: compares the cost, effect and operability factors of multiple protection schemes, selects the best scheme, receives the schemes proposed by the personalized protection scheme design submodule, evaluates and compares them, and recommends the best scheme;

[0029] Conflict resolution submodule: When there are conflicts between multiple protection measures or plans, the algorithm lists the plans with the most protection types and arranges the solutions in order to ensure the safety of cultural relics. If conflicts are found during the comparison of multiple plans, intervention is made to resolve and optimize the plan;

[0030] Emergency plan submodule: formulate quick response protection measures for possible natural disasters or other emergencies, and work with the disaster information collection submodule to formulate or adjust emergency plans based on disaster warning information;

[0031] Virtual reality simulation submodule: Use virtual reality technology to simulate the implementation effect of the protection plan, verify the effectiveness of the plan, receive the plan of the personalized protection plan design submodule, simulate the actual effect of the test plan, and feedback it to the personalized protection plan design submodule for optimization, and output a new protection plan.

[0032] Preferably, the user interaction interface includes:

[0033] Data visualization submodule: displays complex analysis results in a graphical form, combined with the protection scheme display submodule;

[0034] Protection plan display submodule: lists the recommended protection measures, including implementation steps, expected effects and precautions, and works with the data visualization submodule to display the protection measures;

[0035] User feedback collection submodule: collects users' experience and suggestions for improvement of the system, and continuously optimizes system performance;

[0036] The speech recognition and natural language processing submodule can recognize the user's accent and automatically process voice information for recognition.

[0037] Preferably, the execution and monitoring module includes:

[0038] Automation execution submodule: automatically controls the operation of related equipment, such as air conditioners, dehumidifiers and blackout curtains, according to the selected protection scheme;

[0039] Status monitoring submodule: monitors the execution effect of protection measures in real time, and immediately alarms if there is any abnormality. It forms a closed-loop control system with the automatic execution submodule to monitor the automatic execution submodule in real time;

[0040] Log recording submodule: records all operation logs, including the execution time and results of protection measures, and provides data support for subsequent analysis. In conjunction with the status monitoring submodule, it can record the information during monitoring by the status monitoring submodule, and assist in troubleshooting and responsibility definition.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] The present invention realizes the intelligentization and automation of cultural relics safety assessment by introducing artificial intelligence technology. The system can collect and analyze environmental data in real time, automatically identify the main risk factors faced by cultural relics, and generate corresponding protection plans, which not only improves the accuracy and efficiency of monitoring, but also reduces the burden of manual operation and ensures the reliability and stability of the system.

[0043] The present invention uses advanced artificial intelligence learning algorithms to conduct in-depth analysis of the physical and chemical properties and historical data of each cultural relic, and accurately assess its risk level under different environmental conditions. This precise risk assessment helps museum managers take effective protective measures in a timely manner to avoid damage to cultural relics.

[0044] The present invention can generate a personalized protection plan according to the specific situation of each cultural relic. The system not only considers the basic information of the cultural relic, such as the material and age, but also integrates environmental data and disaster warning information to ensure the pertinence and effectiveness of the protection measures. This personalized protection plan can better meet the needs of different cultural relics and improve the protection effect.

[0045] The present invention designs an interactive interface so that museum staff can easily view the status of cultural relics, risk assessment reports and protection suggestions. Users can select protection suggestions through the interface. This highly interactive design improves the usability and flexibility of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 Schematic diagram of the process of the system of the present invention. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] The following is combined with Figure 1 The specific implementation modes of the present invention are described in further detail.

[0049] In this embodiment, by Figure 1 As shown, the present invention includes:

[0050] Data collection module: used to collect basic information of cultural relics, storage environment conditions and relevant data of natural disasters, and provide basic data of cultural relics for data analysis module;

[0051] Data analysis module: Process and analyze the collected data to assess the current storage environment of the cultural relics, as well as the status of the cultural relics and potential risks;

[0052] Plan generation module: based on the analysis results of the data analysis module on the cultural relics, it generates protection plans for the cultural relics, including preventive protection plans and emergency treatment measures plans;

[0053] User interaction interface: provides a platform for users to interact with the system, which can display the information analyzed by the data analysis module and the cultural relics protection plan generated, and is used for users to select the protection plan for cultural relics and provide feedback;

[0054] Execution and monitoring module: responsible for implementing the protection plan and monitoring the implementation effect of the plan in real time to ensure the safety of cultural relics.

[0055] In this embodiment, the data collection module includes:

[0056] Cultural relics basic information collection submodule: responsible for collecting the basic information of cultural relics, including the name, type, material, size, age and origin of cultural relics. The cultural relics basic information collection submodule is combined with the environmental data collection submodule and the disaster information collection submodule to provide the basic data of cultural relics for the data analysis module;

[0057] Environmental data collection submodule: collects various parameters of the environment where the cultural relics are located in real time, such as temperature, humidity, light intensity, carbon dioxide concentration, PM2.5 index, etc., and works synchronously with the cultural relics basic information collection submodule to ensure that the environmental data matches the specific cultural relics and provide accurate input for the data analysis module;

[0058] Disaster information collection submodule: Integrates various disaster warning system interfaces to obtain early warning information of natural disasters such as earthquakes, floods, and typhoons in real time, and works in collaboration with the environmental data collection submodule to collect information on the storage environment of cultural relics and external disaster environments, especially during disaster warning periods, to increase the frequency of environmental monitoring and take protective measures in advance;

[0059] When the cultural relics basic information collection submodule collects data on the corresponding cultural relics, the environmental data collection submodule and the disaster information collection submodule will collect the environmental parameters of the cultural relics according to the information of the cultural relics, so that the information of the cultural relics and the environmental information can be recorded and stored synchronously to avoid information confusion. At the same time, the environmental data collection submodule and the disaster information collection submodule will monitor the environmental information in real time and provide reminders when the environment changes and disasters occur.

[0060] In this embodiment, the data analysis module includes:

[0061] Physical and chemical property analysis submodule: Based on the material and structure of the cultural relics, the physical and chemical principles are used to analyze their stability under different environmental conditions. This is linked with the risk assessment submodule to provide a scientific basis for the potential risks of each material in a specific environment.

[0062] Historical data mining submodule: Use big data technology to analyze historical records, identify the main causes of damage to cultural relics and storage patterns, and combine with the physical and chemical properties analysis submodule to enhance the accuracy and comprehensiveness of risk assessment;

[0063] Risk assessment submodule: Integrate the results of physical and chemical property analysis and historical data mining, use machine learning algorithms to assess the risk level faced by each cultural relic, provide information for the personalized protection plan design submodule, and convert the assessment results into specific protection recommendations;

[0064] By analyzing the physical and chemical properties of the cultural relics themselves, we can understand the environmental factors that the cultural relics are suitable for. Combined with the historical storage records and damage records of the cultural relics, we can improve the accuracy of the analysis data, analyze the environment suitable for each cultural relic, and provide data for the personalized protection plan design sub-module to generate suitable cultural relic protection plans.

[0065] In this embodiment, the solution generation module includes:

[0066] Personalized protection plan design submodule: Based on the risk assessment results of cultural relics, design protection measures that meet the characteristics of cultural relics, such as environmental control, physical isolation, restoration plan, etc., receive the risk assessment results from the data analysis module, and output personalized protection plans;

[0067] Multi-scheme comparison submodule: compares factors such as cost, effect and operability of multiple protection schemes, selects the best scheme, receives the schemes proposed by the personalized protection scheme design submodule, evaluates and compares them, and recommends the best scheme;

[0068] Conflict resolution submodule: When there are conflicts between multiple protection measures or plans, the algorithm lists the plans with the most protection types and arranges the solutions in order to ensure the safety of cultural relics. If conflicts are found during the comparison of multiple plans, intervention is made to resolve and optimize the plan;

[0069] Because cultural relics are generally stored in museums, they are stored in large quantities each time. When storing a large number of cultural relics at the same time, it is not necessarily possible to ensure that each cultural relic storage plan is the optimal plan. Therefore, for some cultural relics, the overall storage plan is not optimal, so it is necessary to optimize, so as to form multiple plans that are the optimal plans for most cultural relics, and list them. At the same time, each plan will mark the cultural relics that are not the optimal plan, and point out which factors of this plan are not the optimal plan for the cultural relic, and explain the reasons, so that the staff can understand the situation and make a choice;

[0070] Emergency plan submodule: formulate quick response protection measures for possible natural disasters or other emergencies, and work with the disaster information collection submodule to formulate or adjust emergency plans based on disaster warning information;

[0071] For emergencies, such as earthquakes, fires and other natural disasters, we will formulate corresponding protection plans in advance, and when the disaster strikes, we will receive information and implement the plan quickly;

[0072] Virtual reality simulation submodule: Use virtual reality technology to simulate the implementation effect of the protection plan, verify the effectiveness of the plan, receive the plan of the personalized protection plan design submodule, simulate the actual effect of the test plan, and feed it back to the personalized protection plan design submodule for optimization;

[0073] Through AR simulation of the implementation effect of the cultural relics under the protection plan, the accuracy of the protection plan can be tested and optimized based on the results.

[0074] In this embodiment, the user interaction interface includes:

[0075] Data visualization submodule: displays complex analysis results in a graphical form, which is convenient for users to understand quickly. It is combined with the protection scheme display submodule to improve user experience.

[0076] Protection plan display submodule: lists the recommended protection measures in detail, including implementation steps, expected effects, precautions, etc., and works with the data visualization submodule to ensure the clarity and completeness of information presentation;

[0077] Allow users to see the effect of the solution more intuitively;

[0078] User feedback collection submodule: collects users' experience and suggestions for improvement of the system, and continuously optimizes system performance;

[0079] Users can provide feedback, and the system can understand the feedback and improve the solution accordingly.

[0080] Speech recognition and natural language processing submodules to improve system usability;

[0081] The multi-language support sub-module can adapt to the needs of users in different countries and regions, and can convert between multiple languages, making it suitable for use in different countries.

[0082] In this embodiment, the execution and monitoring module includes:

[0083] Automatic execution submodule: According to the selected protection scheme, it automatically controls the operation of related equipment (such as air conditioners, dehumidifiers, blackout curtains, etc.), and is closely linked with the status monitoring submodule to ensure parameter stability during the execution process;

[0084] The system needs to be electrically connected to various external devices, so as to control the operation of external devices according to the solution and meet the standards in the solution;

[0085] Status monitoring submodule: monitors the execution effect of protection measures in real time, and immediately alarms if there is any abnormality, forming a closed-loop control system with the automation execution submodule to improve response speed and processing efficiency;

[0086] Log recording submodule: records all operation logs, including the execution time and results of protection measures, etc., to provide data support for subsequent analysis, and cooperates with the status monitoring submodule to assist in troubleshooting and responsibility definition.

[0087] First, the data collection module is used to connect to the network information database to collect and input cultural relic information and establish archives;

[0088] Then, the environmental data collection submodule and the disaster information collection submodule monitor the data in real time and transmit it to the data analysis module;

[0089] The data analysis module analyzes the collected data, and the risk assessment submodule outputs the risk level;

[0090] The scheme generation module designs protection schemes according to the risk assessment results, and determines the best scheme through the multi-scheme comparison submodule and the conflict resolution submodule;

[0091] The user views the analysis results displayed in the data visualization submodule through the user interaction interface and selects the measures listed in the protection scheme display submodule;

[0092] The automated execution submodule controls the environmental conditioning equipment to implement protective measures according to the scheme selected by the user;

[0093] The status monitoring submodule monitors the execution of measures in real time. If there is any abnormality, it will be recorded and alarmed immediately through the logging submodule.

[0094] Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A cultural relics safety assessment and analysis system based on artificial intelligence, characterized in that: include: Data collection module: used to collect basic information of cultural relics, storage environment conditions and relevant data of natural disasters, and provide basic data of cultural relics for data analysis module; Data analysis module: Process and analyze the collected data to assess the current storage environment of the cultural relics, as well as the status of the cultural relics and potential risks; Plan generation module: based on the analysis results of the data analysis module on the cultural relics, it generates protection plans for the cultural relics, including preventive protection plans and emergency treatment measures plans; User interaction interface: provides a platform for users to interact with the system, which can display the information analyzed by the data analysis module and the cultural relics protection plan generated, and is used for users to select the protection plan for cultural relics and provide feedback; Execution and monitoring module: responsible for implementing the protection plan and monitoring the implementation effect of the plan in real time to ensure the safety of cultural relics.

2. The cultural relics safety assessment and analysis system based on artificial intelligence according to claim 1 is characterized in that: The data collection module includes: Cultural relics basic information collection submodule: responsible for collecting the basic information of cultural relics, including the name, type, material, size, age and origin of cultural relics. The cultural relics basic information collection submodule is combined with the environmental data collection submodule and the disaster information collection submodule to provide the basic data of cultural relics for the data analysis module; Environmental data collection submodule: collects various parameters of the environment where the cultural relics are located in real time, and works synchronously with the cultural relics basic information collection submodule to ensure that the environmental data matches the specific cultural relics and provide accurate data for the data analysis module; Disaster information collection submodule: Integrates various disaster warning system interfaces to obtain real-time warning information on natural disasters such as earthquakes, floods and typhoons, and works in collaboration with the environmental data collection submodule to collect information on the storage environment of cultural relics and the external disaster environment.

3. The cultural relics safety assessment and analysis system based on artificial intelligence according to claim 2 is characterized in that: The data analysis module includes: Physical and chemical property analysis submodule: Based on the material and structure of the cultural relics, the physical and chemical principles are used to analyze their stability under different environmental conditions, which is linked with the risk assessment submodule; Historical data mining submodule: uses big data technology to analyze historical records, identify the main causes of damage to cultural relics and storage patterns, and combines it with the physical and chemical properties analysis submodule; Risk assessment submodule: Integrate the results of the physical and chemical properties analysis submodule and the historical data mining submodule to assess the risk level faced by each cultural relic, provide information for the personalized protection plan design submodule, and convert the assessment results into specific protection recommendations.

4. The cultural relics safety assessment and analysis system based on artificial intelligence according to claim 2 is characterized in that: The solution generation module includes: Personalized protection plan design submodule: Based on the risk assessment results of cultural relics, design protection measures that meet the characteristics of cultural relics, receive the risk assessment results from the data analysis module, and output personalized protection plans; Multi-scheme comparison submodule: compares the cost, effect and operability factors of multiple protection schemes, selects the best scheme, receives the schemes proposed by the personalized protection scheme design submodule, evaluates and compares them, and recommends the best scheme; Conflict resolution submodule: When there are conflicts between multiple protection measures or plans, the algorithm lists the plans with the most protection types and arranges the solutions in order to ensure the safety of cultural relics. If conflicts are found during the comparison of multiple plans, intervention is made to resolve and optimize the plan; Emergency plan submodule: formulate quick response protection measures for possible natural disasters or other emergencies, and work with the disaster information collection submodule to formulate or adjust emergency plans based on disaster warning information; Virtual reality simulation submodule: Use virtual reality technology to simulate the implementation effect of the protection plan, verify the effectiveness of the plan, receive the plan of the personalized protection plan design submodule, simulate the actual effect of the test plan, and feedback it to the personalized protection plan design submodule for optimization, and output a new protection plan.

5. The cultural relics safety assessment and analysis system based on artificial intelligence according to claim 2 is characterized in that: The user interaction interface comprises: Data visualization submodule: displays complex analysis results in a graphical form, combined with the protection scheme display submodule; Protection plan display submodule: lists the recommended protection measures, including implementation steps, expected effects and precautions, and works with the data visualization submodule to display the protection measures; User feedback collection submodule: collects users' experience and suggestions for improvement of the system, and continuously optimizes system performance; The speech recognition and natural language processing submodule can recognize the user's accent and automatically process voice information for recognition.

6. The cultural relics safety assessment and analysis system based on artificial intelligence according to claim 3 is characterized by: The execution and monitoring module includes: Automation execution submodule: automatically controls the operation of related equipment, such as air conditioners, dehumidifiers and blackout curtains, according to the selected protection scheme; Status monitoring submodule: monitors the execution effect of protection measures in real time, and immediately alarms if there is any abnormality. It forms a closed-loop control system with the automatic execution submodule to monitor the automatic execution submodule in real time; Log recording submodule: records all operation logs, including the execution time and results of protection measures, and provides data support for subsequent analysis. It cooperates with the status monitoring submodule to record the information during monitoring by the status monitoring submodule, and assists in troubleshooting and responsibility definition.

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