An emergency disposal method and system for cultural relic security management

Abstract

This application relates to the field of cultural relic protection technology, and in particular to a method and system for emergency response to cultural relic security management. The method includes: obtaining a security deviation value based on current security monitoring data and preset security benchmark data; if the security deviation value is greater than or equal to a first deviation threshold, initiating an emergency response process and obtaining the type of security anomaly; determining the emergency response level and obtaining a first emergency response plan based on the emergency response level and the type of security anomaly; if the deviation value is less than the threshold, obtaining historical security data; obtaining a security risk trend based on current security monitoring data and historical security data; determining whether there are potential security hazards based on the security risk trend; and obtaining a second emergency response plan if potential security hazards exist. This application helps to solve the problems of delayed emergency response and unclear handling logic in existing cultural relic security systems, achieving precise handling of visible anomalies and proactive prevention of hidden hazards, thus ensuring the safety of cultural relics.

Description

Technical Field

[0001] This application relates to the field of cultural relic protection technology, and in particular to a method and system for emergency response to cultural relic security management. Background Technology

[0002] Cultural relics, as non-renewable cultural resources, bear the important mission of historical inheritance and cultural continuation, making their safety and protection crucial.

[0003] Currently, security management in cultural relic protection areas relies heavily on traditional monitoring methods, which have two major shortcomings and fail to meet the needs of refined security protection: First, the emergency response mechanism is lagging behind, only able to passively deal with obvious security anomalies that have reached clear warning thresholds, lacking effective prediction and pre-emptive intervention for security hazards that have not reached the threshold but have a potential trend of evolution; Second, the handling of security anomalies lacks precise triggering and advancement logic, making it difficult to scientifically initiate emergency responses and match appropriate solutions based on the degree of security deviation, resulting in low handling efficiency or resource misallocation, and failing to fully guarantee the safety of the cultural relics themselves.

[0004] Therefore, there is an urgent need to develop an emergency response plan for cultural relic security management that can accurately trigger responses based on safety deviations and take into account both the handling of obvious anomalies and the prevention and control of hidden hazards in advance, so as to make up for the shortcomings of existing technologies. Summary of the Invention

[0005] To help address the problems of delayed emergency response and unclear handling logic in existing cultural relic security emergency management, and to achieve precise handling of obvious anomalies and proactive prevention of hidden hazards, thereby ensuring the safety of cultural relics, this application provides a method and system for emergency response in cultural relic security management.

[0006] Firstly, this application provides an emergency response method for the security management of cultural relics, which adopts the following technical solution:

[0007] An emergency response method for the security management of cultural relics includes:

[0008] Obtain current security monitoring data and preset safety benchmark data for cultural relic protection areas;

[0009] Based on current security monitoring data and preset security benchmark data, obtain the security deviation value;

[0010] If the safety deviation value is greater than or equal to the first deviation threshold, the emergency response procedure is initiated and the type of safety anomaly is obtained;

[0011] Determine the emergency response level based on the type of security anomaly;

[0012] Based on the emergency response level and the type of safety anomaly, obtain the first emergency response plan;

[0013] If the safety deviation value is less than the first deviation threshold, then historical security data is obtained;

[0014] Based on current and historical security monitoring data, obtain security risk trends;

[0015] Based on security risk trends, determine whether there are potential security risks;

[0016] If potential safety hazards exist, obtain a second emergency response plan.

[0017] Optionally, if the safety deviation value is greater than or equal to the first deviation threshold, then initiating the emergency response process and obtaining the safety anomaly type includes:

[0018] If the safety deviation value is greater than or equal to the first deviation threshold, a security warning signal will be immediately triggered and the abnormal monitoring area will be locked.

[0019] Acquire multi-dimensional monitoring data of the anomaly monitoring area, including environmental monitoring data, personnel activity data, and cultural relic status data;

[0020] Feature identification is performed on personnel activity data to determine whether there are traces of intruders in the abnormal monitoring area;

[0021] If no traces of unauthorized intruders are found, conduct anomaly screening of environmental monitoring data to identify abnormal environmental indicators;

[0022] Based on the type of environmental anomaly indicators, the safety anomaly type is determined to be an environmental anomaly;

[0023] If traces of intruders are found, their activity trajectory and behavioral characteristics will be obtained.

[0024] Based on the activity trajectory, determine whether there is contact with the cultural relic itself, and combine behavioral characteristics to analyze the intrusion intention;

[0025] If the artifact itself is touched and the intent of the intrusion is to steal or damage it, then the security anomaly type is determined to be a malicious intrusion anomaly.

[0026] If the intrusion does not involve contact with the artifact itself or is merely an unrelated wandering, then the security anomaly type is determined to be a general intrusion anomaly.

[0027] Optionally, the environmental anomalies include abnormal temperature and humidity, abnormal gas concentration, and abnormal fire hazard; if no traces of intruders are found, the environmental monitoring data is screened for anomalies to determine the environmental anomaly indicators, including:

[0028] If no traces of intruders are found, extract the temperature and humidity values, harmful gas concentration values, and smoke concentration values ​​from the environmental monitoring data.

[0029] Compare the temperature and humidity values ​​with the temperature and humidity range that the cultural relic is suitable for, and calculate the temperature and humidity deviation rate.

[0030] Compare the concentration values ​​of harmful gases with the safe concentration thresholds to calculate the multiple by which the concentration exceeds the standard;

[0031] Compare the smoke concentration value with the fire warning threshold to determine whether a fire warning has been triggered.

[0032] If the temperature and humidity deviation rate is greater than the temperature and humidity deviation threshold and other indicators are normal, it is judged as an abnormal temperature and humidity.

[0033] If the concentration of harmful gas exceeds the standard by more than the threshold while other indicators are normal, it is determined to be an abnormal gas concentration.

[0034] If the smoke concentration exceeds the fire warning threshold, it is determined to be an abnormal fire hazard.

[0035] If two or more indicators are abnormal, it is judged as a complex environmental anomaly.

[0036] Optionally, determining the emergency response level based on the type of security anomaly includes:

[0037] Obtain the cultural relic classification of cultural relics within the anomaly monitoring area;

[0038] Based on the grade of cultural relics, the area is divided into core cultural relics area, important cultural relics area and general cultural relics area;

[0039] If the security anomaly is classified as a malicious intrusion anomaly and occurs in the core cultural relics area, the emergency response level will be determined as Level I.

[0040] If the security anomaly is a malicious intrusion anomaly and occurs in an important cultural relics area, or if the security anomaly is a general intrusion anomaly and occurs in a core cultural relics area, then the emergency response level is determined to be Level II.

[0041] If the security anomaly is classified as a general intrusion anomaly and occurs in an important cultural relics area, or if the security anomaly is classified as an environmental anomaly and occurs in a core cultural relics area, then the emergency response level is determined to be Level III.

[0042] If the security anomaly type is environmental anomaly and occurs in an important cultural relics area, or if the security anomaly type is general intrusion anomaly and occurs in a general cultural relics area, then the emergency response level is determined to be Level IV.

[0043] If the safety anomaly is classified as an environmental anomaly and occurs in a general cultural relics area, the emergency response level will be determined as Level V.

[0044] If the safety anomaly is a complex environmental anomaly, the response level should be raised by one level based on the corresponding single anomaly handling level.

[0045] Optionally, obtaining the first emergency response plan based on the emergency response level and the type of safety anomaly includes:

[0046] Establish an emergency response plan database, which pre-stores corresponding plan indexes for different emergency response levels and different types of safety anomalies;

[0047] Based on the determined emergency response level and security anomaly type, generate matching query conditions;

[0048] Based on the matching query conditions, a precise search is performed in the emergency response plan database to locate the corresponding plan index;

[0049] Retrieve the corresponding standardized emergency response framework based on the located solution index;

[0050] Based on the identified anomaly monitoring areas and the obtained cultural relic grades within those areas, the spatial attributes of the anomaly monitoring areas and the protection characteristics of the cultural relic within those areas are determined.

[0051] By adapting the standardized emergency response framework to the aforementioned spatial attributes and protection characteristics, a first emergency response plan is formed.

[0052] Optionally, the standardized emergency response framework includes response process steps, emergency force dispatch paths, response paths, and response measures; the adaptation adjustment of the standardized emergency response framework based on the spatial attributes and protection characteristics to form a first emergency response plan includes:

[0053] Extract regional terrain features and corridor distribution from spatial attributes;

[0054] Extract the material type, preservation status, and protective restrictions of cultural relics from their protective characteristics;

[0055] Compare the handling procedures with the protective restrictions, and mark the conflicting steps;

[0056] Based on the regional terrain features and the distribution of passageways, optimize the emergency response and dispatch routes;

[0057] Adjust disposal measures based on the material type and preservation condition of the cultural relics;

[0058] Replace conflicting steps with replacement markers and supplement alternative disposal steps that are adapted to current cultural relic protection needs;

[0059] The integrated and optimized emergency response force dispatch paths, response paths, adjusted response measures, and alternative response steps were combined to form an adaptation and adjustment draft.

[0060] Obtain the degree of fit between the draft adaptation and spatial attributes and protection characteristics;

[0061] If the fit meets the preset fit threshold, the adaptation and adjustment draft will be determined as the first emergency response plan.

[0062] Optionally, obtaining the fit between the adaptation draft and the spatial attributes and protection characteristics includes:

[0063] Based on the distribution of emergency force dispatch routes and channels, analyze the coverage ratio of dispatch routes to key channels and the activation status of backup channels, generate a route coverage evaluation, and convert the route coverage evaluation into dispatch route fit.

[0064] Based on the disposal route and regional terrain features, assess the difficulty of passage and the number of potential risk points of the disposal route in different terrain sections, generate a route safety assessment, and convert the route safety assessment into disposal route fit.

[0065] Based on the disposal measures, alternative disposal steps, material type and preservation status of the cultural relics, determine whether the impact of the disposal measures on the cultural relics meets the preset cultural relic protection standards, generate a safety assessment of the measures, and convert the safety assessment of the measures into a measure fit.

[0066] Based on the disposal measures, alternative disposal steps, and protective taboo requirements, the number and severity of items in which the disposal measures violate the protective taboo requirements are compared and counted one by one, and a taboo compliance evaluation is generated. The taboo compliance evaluation is then converted into taboo fit.

[0067] Establish a fit aggregation function, take scheduling path fit, disposal path fit, measure fit and taboo fit as input variables, calculate the comprehensive fit value, and take the comprehensive fit value as the final fit.

[0068] Optionally, obtaining security risk trends based on current security monitoring data and historical security data includes:

[0069] Obtain current security monitoring data and historical security data with a unified time reference;

[0070] Based on the type of security indicator, time series data for each security indicator are constructed separately;

[0071] Perform data quality checks on each time series, identifying and removing distorted data points;

[0072] Each validated time series is decomposed into time series components to separate the trend components reflecting long-term changes in the indicators, the periodic components reflecting periodic patterns, and the residual components reflecting random fluctuations.

[0073] Analyze the trend components of each time series, calculate the slope and direction of the trend components within a preset time period, and generate independent trend descriptions for each security indicator.

[0074] Analyze the periodic components of each time series, determine whether there are abnormal fluctuations in the period length and fluctuation amplitude of the periodic components that exceed the historical normal range, and generate a periodic anomaly description for each security indicator.

[0075] Analyze the residual components of each time series, assess whether the fluctuation amplitude and frequency of the residual components are significantly higher than the historical baseline level, and generate a description of the random fluctuation risk of each security indicator.

[0076] By integrating the independent trend descriptions, periodic anomaly descriptions, and random fluctuation risk descriptions of various security indicators, a multidimensional risk evolution map representing the overall security situation evolution characteristics is constructed.

[0077] Based on the multidimensional risk evolution map, the probabilistic evolution path and intensity change of security risks within a preset time period are calculated using a risk extrapolation algorithm, and the output is a security risk trend.

[0078] Secondly, this application also discloses an emergency response system for the security management of cultural relics, which adopts the following technical solution:

[0079] An emergency response system for cultural relic security management includes:

[0080] The first data acquisition module is used to acquire current security monitoring data and preset safety benchmark data for the cultural relic protection area;

[0081] The deviation calculation module is used to obtain the safety deviation value based on the current security monitoring data and the preset safety benchmark data;

[0082] The exception handling module is used to initiate the emergency response process and obtain the type of safety exception if the safety deviation value is greater than or equal to the first deviation threshold.

[0083] The emergency response level determination module is used to determine the emergency response level based on the type of security anomaly.

[0084] The first solution generation module is used to obtain the first emergency response plan based on the emergency response level and the type of safety anomaly.

[0085] The second data acquisition module is used to acquire historical security data if the safety deviation value is less than the first deviation threshold.

[0086] The trend analysis module is used to obtain security risk trends based on current security monitoring data and historical security data;

[0087] The hazard assessment module is used to determine whether there are potential safety hazards based on safety risk trends.

[0088] The second solution generation module is used to obtain a second emergency response plan if there are potential safety hazards.

[0089] In summary, this application includes the following beneficial technical effects:

[0090] By employing the core logic of safety deviation value judgment and classified response, this system can accurately identify obvious safety anomalies based on the comparison between current security monitoring data and preset security benchmark data. It then initiates corresponding emergency responses and matches the first emergency response plan with the anomaly type, effectively solving the problems of vague anomaly judgment and lack of targeted response in traditional security systems, thus improving the accuracy and efficiency of handling obvious anomalies. Furthermore, for scenarios that do not reach the warning threshold, it integrates current and historical security data to obtain security risk trends and predict potential hazards, generating a second emergency response plan for proactive prevention. This breaks the limitations of traditional "post-event handling" in security, extending security management to "pre-event prevention," significantly reducing the probability of safety hazards escalating into major accidents. Simultaneously, through the adaptation of tiered responses and differentiated response plans, it balances the safety of cultural relic protection with the rationality of emergency resource allocation, comprehensively ensuring the safety of the cultural relics themselves. Attached Figure Description

[0091] Figure 1 This is a main flowchart of an emergency response method for cultural relic security management according to an embodiment of this application;

[0092] Figure 2 This is a flowchart outlining the steps to initiate an emergency response process and identify the type of security anomaly.

[0093] Figure 3 This is a flowchart outlining the steps for determining the emergency response level based on the type of security anomaly.

[0094] Figure 4 The first emergency response plan is obtained based on the emergency response level and the type of safety anomaly.

[0095] Figure 5 This is a flowchart outlining the steps involved in obtaining security risk trends.

[0096] Figure 6 This is a module diagram of an emergency response system for cultural relic security management according to an embodiment of this application.

[0097] Explanation of reference numerals in the attached figures:

[0098] 1. First data acquisition module; 2. Deviation calculation module; 3. Anomaly handling module; 4. Level determination module; 5. First scheme generation module; 6. Second data acquisition module; 7. Trend analysis module; 8. Hazard assessment module; 9. Second scheme generation module. Detailed Implementation

[0099] Firstly, this application discloses an emergency response method for the security management of cultural relics.

[0100] Reference Figure 1 An emergency response method for the security management of cultural relics includes steps S101 to S109:

[0101] Step S101: Obtain the current security monitoring data and preset security benchmark data of the cultural relic protection area.

[0102] Specifically, current security monitoring data refers to real-time monitoring data collected by various sensors deployed within the cultural relic protection area (such as temperature and humidity sensors, gas sensors, smoke sensors, infrared sensors, video surveillance equipment, etc.), covering multi-dimensional information such as the environment, personnel, and the status of cultural relics. Preset security benchmark data refers to safety threshold standards pre-set according to the specific conditions of the cultural relic protection area, the type of cultural relics, and protection needs, such as the temperature and humidity range suitable for cultural relics of different materials, the safe concentration threshold of harmful gases, and the safe range of personnel activities, which serve as a reference for judging whether the current security status is safe.

[0103] Step S102: Based on the current security monitoring data and the preset security benchmark data, obtain the security deviation value.

[0104] Specifically, the safety deviation value is a numerical value used to quantify the degree of deviation between the current security monitoring data and the preset safety benchmark data. This value can intuitively reflect the degree of difference between the current security status and the safety benchmark. The calculation method is determined according to the type of monitoring indicator. For example, for continuous indicators such as temperature, humidity, and gas concentration, the deviation rate is calculated as (current value - benchmark value) / benchmark value. For discrete or Boolean indicators such as personnel activity and smoke, a 0-1 quantification score is used to calculate the comprehensive deviation value. For example, if personnel are detected to be active in unauthorized areas, beyond the preset activity range, or exhibiting abnormal behavior (such as climbing or picking locks), the value is quantified as 1. If personnel activity fully complies with safety regulations (such as authorized personnel working normally in designated areas or tourists visiting according to routes), the value is quantified as 0. If the smoke concentration reaches or exceeds the preset minimum monitoring threshold (not triggering a fire alarm but requiring attention), or if signs of smoke generation are detected, the value is quantified as 1. If no smoke is detected, the value is quantified as 0.

[0105] Step S103: If the safety deviation value is greater than or equal to the first deviation threshold, then initiate the emergency response process and obtain the safety anomaly type.

[0106] Specifically, the first deviation threshold is a pre-set critical value that triggers an immediate emergency response. It is determined by cultural relic protection experts in combination with historical security data and the importance of the cultural relic. When the safety deviation value reaches or exceeds this threshold, it indicates that a clear safety anomaly has occurred and the emergency response process must be initiated immediately. The type of safety anomaly is a specific classification of the current safety problem, including environmental anomalies, general intrusion anomalies, and malicious intrusion anomalies.

[0107] Step S104: Determine the emergency response level based on the type of security anomaly.

[0108] Specifically, the emergency response level is a response level classified according to the severity of the safety anomaly, the scope of its impact, and the potential harm to cultural relics. Different levels correspond to different response procedures, resource allocation efforts, and response measures. By clarifying the levels, the rational allocation of resources and the improvement of response efficiency can be achieved.

[0109] Step S105: Obtain the first emergency response plan based on the emergency response level and the type of safety anomaly.

[0110] Specifically, the first emergency response plan is a specific response strategy formulated for the identified types of safety anomalies and corresponding emergency response levels. It includes detailed content such as response procedures, personnel scheduling, equipment operation, and safety protection to ensure that emergency response work is carried out in an orderly and standardized manner.

[0111] Step S106: If the safety deviation value is less than the first deviation threshold, then obtain historical security data.

[0112] Specifically, when the safety deviation value is less than the first deviation threshold, it indicates that the current security status has not met the immediate emergency response standard, but there may be potential evolution risks. At this time, the historical security data obtained refers to the security monitoring data of the cultural relic protection area in the past period (such as the past 1 month or 3 months). It needs to have a unified time benchmark and indicator type with the current data in order to conduct trend comparison analysis.

[0113] Step S107: Based on current security monitoring data and historical security data, obtain security risk trends.

[0114] Specifically, security risk trends refer to predicting the evolution direction and probability of risk escalation of security indicators in the future (such as the next 24 hours or 7 days) by analyzing the changing patterns of current and historical data. For example, whether temperature and humidity show a continuous deviation trend, or whether there is a risk of periodic exceedance of the concentration of a certain type of harmful gas.

[0115] Step S108: Based on the security risk trend, determine whether there are potential security risks.

[0116] Specifically, potential safety hazards refer to potential problems that have not yet reached the emergency response threshold, but are judged to have the potential to escalate into safety anomalies in the future based on the safety risk trend. The judgment criteria are whether the predicted evolution of indicators in the safety risk trend may exceed the preset safety benchmark data, or whether it may have an adverse impact on the preservation status of cultural relics.

[0117] Step S109: If there are potential safety hazards, obtain a second emergency response plan.

[0118] Specifically, the second emergency response plan is a proactive prevention and control plan for potential safety hazards. Compared with the first emergency response plan, it has a lower intensity of response and focuses more on prevention and intervention. Its purpose is to prevent the hazards from escalating into clear safety anomalies through early intervention, such as adjusting the parameters of environmental control equipment and increasing the frequency of patrols in key areas.

[0119] Reference Figure 2 In one embodiment of this example, if the safety deviation value is greater than or equal to the first deviation threshold in step S103, the emergency response process is initiated and the safety anomaly type is obtained, including steps S201 to S209:

[0120] Step S201: If the safety deviation value is greater than or equal to the first deviation threshold, a security warning signal is immediately triggered and the abnormal monitoring area is locked.

[0121] Specifically, security early warning signals include audible and visual warnings (such as sirens and warning lights in protected areas) and internal system warning information (such as warning notifications pushed to security management platforms and mobile terminals of management personnel), which are used to quickly remind management personnel to pay attention to abnormal situations; locking the abnormal monitoring area refers to determining the specific spatial range of the occurrence of security abnormalities by locating the collection location of monitoring data. This range can be precisely defined according to the sensor deployment density and monitoring coverage, such as the area around a certain exhibition hall, a certain cultural relic display case, or a certain outdoor cultural relic area.

[0122] Step S202: Obtain multi-dimensional monitoring data of the abnormal monitoring area, including environmental monitoring data, personnel activity data, and cultural relic status data.

[0123] Specifically, environmental monitoring data refers to parameters reflecting the state of the natural environment within the abnormal monitoring area, including temperature and humidity, concentration of harmful gases (such as sulfur dioxide, nitrogen oxides, formaldehyde, etc.), smoke concentration, light intensity, and precipitation; personnel activity data refers to data related to the flow, stay, and behavior of people within the area collected through equipment such as video surveillance, infrared sensing, and personnel positioning; and cultural relic status data refers to status data of the cultural relic itself and its protective facilities collected through close-range sensors or image recognition technology, such as whether the surface of the cultural relic is damaged or faded, and whether the display case is properly sealed.

[0124] Step S203: Perform feature identification on personnel activity data to determine whether there are traces of intruders in the abnormal monitoring area.

[0125] Specifically, feature recognition of personnel activity data refers to analyzing the outlines, clothing characteristics, and behavioral trajectories of people in video surveillance through image recognition algorithms, and combining this with personnel positioning data to determine whether the people in the area are authorized personnel (such as managers, staff, or registered tourists); traces of unauthorized personnel include entry and exit records, abnormal behavioral trajectories, and left-behind items. If relevant characteristics of unauthorized personnel are identified, it is determined that traces of unauthorized personnel exist.

[0126] Step S204: If there are no traces of external intruders, conduct anomaly screening on the environmental monitoring data to identify abnormal environmental indicators.

[0127] Specifically, anomaly screening of environmental monitoring data refers to comparing the collected values ​​of various environmental indicators with the environmental standards in the preset safety benchmark data one by one, and screening out indicators that exceed the standard range; environmental anomaly indicators refer to these environmental parameters that exceed the standard range, such as temperature and humidity exceeding the suitable range, harmful gas concentration exceeding the standard, and smoke concentration abnormally increasing.

[0128] Step S205: Based on the type of environmental anomaly indicators, determine the safety anomaly type as an environmental anomaly.

[0129] Specifically, environmental anomalies refer to safety anomalies caused by non-human intrusion factors such as changes in the natural environment or malfunctions of environmental control equipment. The criteria for judgment are that only environmental anomaly indicators are present in the anomaly screening results, and there are no traces of external intruders. Subsequently, environmental anomalies can be further refined into specific subcategories such as abnormal temperature and humidity, abnormal gas concentration, etc.

[0130] Step S206: If traces of intruders are found, obtain the intruders' activity trajectory and behavioral characteristics.

[0131] Specifically, the activity trajectory of the intruder refers to the movement path of the intruder in the abnormal monitoring area, which is reconstructed through continuous video surveillance or positioning data, including the entry method, stopping position, and direction of movement; behavioral characteristics refer to the specific actions of the intruder, such as climbing, picking locks, touching cultural relic display cases, carrying tools, etc. These characteristics can be extracted and analyzed through image recognition algorithms.

[0132] Step S207: Determine whether the artifact has been touched based on the activity trajectory, and analyze the intrusion intent in combination with behavioral characteristics.

[0133] Specifically, the criteria for judging contact with the artifact itself are whether the activity trajectory covers the location of the artifact, or whether there are direct contact actions between the intruder and the artifact or the artifact protection facilities in the image; the analysis of the intrusion intent is a logical judgment based on behavioral characteristics. For example, carrying lock picking tools and attempting to open the artifact display case can be judged as theft intent, carrying destructive tools and hitting the artifact can be judged as destructive intent, and wandering around without a clear target can be judged as irrelevant wandering intent.

[0134] Step S208: If the artifact itself is touched and the intent of the intrusion is to steal or damage it, the security anomaly type is determined to be a malicious intrusion anomaly.

[0135] Specifically, a malicious intrusion anomaly refers to an anomaly intrusion by personnel that poses a direct and significant threat to the safety of cultural relics. Its core characteristic is that the intruder has a clear intention to harm the cultural relics and has already taken action to contact them. This type of anomaly poses the highest threat to the safety of cultural relics and requires the activation of the highest or higher level of emergency response.

[0136] Step S209: If the artifact itself is not touched or the intrusion intent is unrelated wandering, the security anomaly type is determined to be a general intrusion anomaly.

[0137] Specifically, general intrusion anomalies refer to abnormal situations where there are traces of intruders but no direct threat to the cultural relics themselves. For example, unauthorized personnel may enter the protected area but not touch the cultural relics, or wander around the area without any clear intention to cause harm. The threat level of such anomalies is lower than that of malign intrusion anomalies, and the corresponding emergency response level is also relatively low.

[0138] In one embodiment of this example, if no traces of intruders are found in step S204, anomaly screening is performed on the environmental monitoring data to determine abnormal environmental indicators, including steps S301 to S308:

[0139] Step S301: If there are no traces of intruders, extract the temperature and humidity values, harmful gas concentration values, and smoke concentration values ​​from the environmental monitoring data.

[0140] Specifically, the environmental anomalies include abnormal temperature and humidity, abnormal gas concentration, and abnormal fire hazard. These three types of anomalies are the most common environmental safety issues in cultural relic protection areas and have the most significant impact on the preservation of cultural relics. Therefore, the corresponding core monitoring values ​​are extracted first. Among them, the temperature and humidity values ​​refer to the real-time temperature and relative humidity in the abnormal monitoring area, the harmful gas concentration values ​​refer to the real-time concentration of various gases that are harmful to cultural relics (such as acidic gases, volatile organic compounds, etc.), and the smoke concentration values ​​refer to the real-time content of smoke particles in the area.

[0141] Step S302: Compare the temperature and humidity values ​​with the temperature and humidity range suitable for the cultural relic, and calculate the temperature and humidity deviation rate.

[0142] Specifically, the suitable temperature and humidity range for cultural relics is a preset temperature and humidity range based on the preservation needs of different cultural relic materials (such as paper, wood, metal, ceramics, textiles, etc.). For example, the suitable temperature and humidity range for paper cultural relics is usually 18-22℃ and 50%-60% relative humidity. The temperature and humidity deviation rate is calculated as (current temperature and humidity value - median of suitable temperature and humidity range) / half width of suitable temperature and humidity range, which is used to quantify the degree of temperature and humidity deviation from the suitable range. Half width of suitable temperature and humidity range is half of the suitable temperature and humidity range.

[0143] Step S303: Compare the concentration values ​​of harmful gases with the safe concentration thresholds to calculate the multiple by which the concentration exceeds the standard.

[0144] Specifically, the safe concentration threshold refers to the maximum permissible concentration of various harmful gases that will not damage cultural relics. It is determined by cultural relic protection experts in combination with relevant standards and the characteristics of the cultural relic materials. The calculation method for the multiple of exceeding the standard is: (current harmful gas concentration value - safe concentration threshold) / safe concentration threshold. If the current value is lower than the safe concentration threshold, the multiple of exceeding the standard is 0.

[0145] Step S304: Compare the smoke concentration value with the fire warning threshold to determine whether a fire warning has been triggered.

[0146] Specifically, the fire warning threshold refers to the critical value at which the smoke concentration may cause a fire or an initial fire has already occurred. This threshold is adjusted with reference to relevant fire protection standards and in combination with factors such as the degree of enclosure of the cultural relic protection area and the amount of flammable materials. If the smoke concentration value is greater than the fire warning threshold, it is determined that a fire warning has been triggered, indicating that there is a fire hazard or a fire has already occurred in the area.

[0147] Step S305: If the temperature and humidity deviation rate is greater than the temperature and humidity deviation threshold and other indicators are normal, then it is determined that the temperature and humidity are abnormal.

[0148] Specifically, the temperature and humidity deviation threshold is a pre-set critical value for judging whether the temperature and humidity are abnormal. When the temperature and humidity deviation rate exceeds this threshold, it indicates that the degree to which the temperature and humidity deviate from the suitable range may have an adverse effect on the preservation of cultural relics (such as paper cultural relics becoming damp and moldy, wooden cultural relics cracking, textiles fading, etc.). Other indicators being normal means that the concentration of harmful gases does not exceed the standard and the smoke concentration does not trigger a fire alarm. At this time, it can be clearly determined that the cause of the abnormality is only a temperature and humidity problem, so it is judged as a temperature and humidity abnormality.

[0149] Step S306: If the concentration of harmful gas exceeds the standard multiple by more than the concentration exceeding the standard threshold and other indicators are normal, it is determined that the gas concentration is abnormal.

[0150] Specifically, the concentration exceedance threshold is the critical value for judging whether the concentration of harmful gases is abnormal. When the exceedance multiple exceeds this threshold, it means that the concentration of harmful gases is sufficient to damage cultural relics (such as acidic gases corroding metal cultural relics, volatile organic compounds polluting paper cultural relics, etc.). If other indicators are normal, that is, the temperature and humidity deviation rate does not exceed the standard and the smoke concentration does not trigger a fire alarm, then it is judged that the gas concentration is abnormal. The abnormality may be caused by industrial emissions in the surrounding area, air pollution caused by dense tourist traffic, or ventilation equipment failure, etc.

[0151] Step S307: If the smoke concentration value is greater than the fire warning threshold, it is determined to be an abnormal fire hazard.

[0152] Specifically, abnormal fire hazards refer to abnormal situations in which there are early signs of fire (such as smoke) or initial fires in the area. Such abnormalities pose a great threat to cultural relics and are sudden and destructive. Therefore, there is no need to consider whether other indicators are normal. As long as the smoke concentration exceeds the fire warning threshold, it can be directly judged as an abnormal fire hazard.

[0153] Step S308: If two or more indicators are abnormal, it is determined to be a complex environmental anomaly.

[0154] Specifically, two or more abnormal indicators refer to the simultaneous occurrence of two or three of the following situations: excessive temperature and humidity deviation rate, excessive concentration of harmful gases, and smoke concentration triggering a fire alarm. For example, abnormal temperature and humidity are accompanied by excessive concentration of harmful gases, or abnormal fire hazards are accompanied by abnormal temperature and humidity. The difficulty in handling complex environmental anomalies and the degree of threat to cultural relics are usually higher than those of single environmental anomalies, so they need to be judged as a separate type of anomaly.

[0155] Reference Figure 3 In one embodiment of this example, step S104, based on the type of security anomaly, determines the emergency response level, including steps S401 to S408:

[0156] Step S401: Obtain the cultural relic level of cultural relics within the anomaly monitoring area.

[0157] Specifically, the classification of cultural relics is based on their historical, artistic, and scientific value. my country's current standards divide cultural relics into three levels: Level 1, Level 2, and Level 3. Level 1 cultural relics are representative relics with particularly important value, Level 2 cultural relics are relics with important value, and Level 3 cultural relics are relics with certain value. The method for obtaining the classification of cultural relics is to retrieve the registration information of all cultural relics in the abnormal monitoring area through the cultural relics information management system of the cultural relics protection area to clarify the specific classification of each cultural relic.

[0158] Step S402: Based on the cultural relic grade, divide the area into core cultural relic area, important cultural relic area and general cultural relic area.

[0159] Specifically, core cultural relic areas refer to areas where first-class cultural relics are stored or distributed. These areas have the highest cultural relic value and the strictest security protection requirements. Important cultural relic areas refer to areas where second-class cultural relics are stored or distributed. The cultural relic value and protection requirements are secondary. General cultural relic areas refer to areas where third-class cultural relics and other ordinary cultural relics are stored or distributed. The protection requirements are relatively low. The classification process should take into account the distribution of cultural relics. If multiple grades of cultural relics exist in a certain area, the area type corresponding to the highest grade of cultural relic shall prevail.

[0160] Step S403: If the security anomaly type is a malicious intrusion anomaly and it occurs in the core cultural relics area, then the emergency response level is determined to be Level 1.

[0161] Specifically, Level 1 response is the highest level of emergency response, corresponding to the most serious security anomaly. Malicious intrusion anomalies themselves pose a direct and significant threat to cultural relics. The cultural relics in the core cultural relic area have the highest value. The combination of the two means that the cultural relics face extremely high security risks. Therefore, it is necessary to activate Level 1 response, mobilize the most emergency resources (such as immediately notifying multiple departments such as public security, fire protection, and cultural relic protection experts to work together), and take the fastest and most severe disposal measures.

[0162] Step S404: If the security anomaly type is a malicious intrusion anomaly and occurs in an important cultural relics area, or if the security anomaly type is a general intrusion anomaly and occurs in a core cultural relics area, then the emergency response level is determined to be Level II.

[0163] Specifically, the urgency and resource allocation of a Level II response are second only to a Level I response. When a malicious intrusion occurs in an important cultural relics area, although the value of the cultural relics is slightly lower than that in a core cultural relics area, the intrusion still poses a direct threat to the cultural relics. When a general intrusion occurs in a core cultural relics area, although the intent of the intrusion is unclear or no cultural relics have been touched, the high-value cultural relics in the core cultural relics area need to be given special protection. Therefore, both of these situations are classified as Level II responses, requiring the rapid dispatch of security personnel and notification of relevant management departments to intervene and handle the situation.

[0164] Step S405: If the security anomaly type is a general intrusion anomaly and occurs in an important cultural relics area, or the security anomaly type is an environmental anomaly and occurs in a core cultural relics area, then the emergency response level is determined to be Level III.

[0165] Specifically, a Level 3 response is a level of moderate urgency. When an intrusion occurs in an important cultural relics area, the threat posed by the intrusion is relatively low, and the value of the relics is secondary. When an environmental anomaly occurs in a core cultural relics area, although the anomaly is classified as an environmental issue, the relics in the core cultural relics area are highly sensitive to environmental changes and require timely intervention to avoid damage. Therefore, these two situations are classified as Level 3 responses, requiring the deployment of security personnel or environmental control personnel for targeted handling.

[0166] Step S406: If the security anomaly type is environmental anomaly and occurs in an important cultural relics area, or if the security anomaly type is general intrusion anomaly and occurs in a general cultural relics area, then the emergency response level is determined to be Level IV.

[0167] Specifically, a Level 4 response is a relatively low level of urgency. When an environmental anomaly occurs in an important cultural relic area, the threat to the cultural relics is relatively controllable, and the value of the cultural relics is moderate. When a general intrusion anomaly occurs in a general cultural relic area, the threat to both the intrusion behavior and the value of the cultural relics is low. Therefore, these two situations are classified as Level 4 responses and can be handled routinely by on-site management personnel or equipment maintenance personnel.

[0168] Step S407: If the safety anomaly type is environmental anomaly and occurs in a general cultural relics area, then the emergency response level is determined to be Level V.

[0169] Specifically, Level 5 response is the lowest level of emergency response, corresponding to the lowest level of security anomaly threat. The destructiveness of the environmental anomaly itself is relatively controllable. The cultural relics in general cultural heritage areas have low cultural value. Therefore, in such cases, it is only necessary to activate routine environmental control or equipment maintenance measures, without mobilizing a large number of emergency resources.

[0170] Step S408: If the safety anomaly type is a complex environmental anomaly, the response level shall be raised by one level based on the corresponding single anomaly handling level.

[0171] Specifically, complex environmental anomalies are more difficult to handle and pose a greater overall threat to cultural relics than single environmental anomalies. For example, when abnormal temperature and humidity are accompanied by excessive concentrations of harmful gases, cultural relics may face multiple damages. Therefore, it is necessary to raise the response level by one level based on the response level of the single environmental anomaly. For example, if the response level of a complex environmental anomaly is level four for a single anomaly, it should be raised to level three to ensure that the intensity of the response measures matches the complexity of the anomaly. It is worth noting that if the safety anomaly type is a complex environmental anomaly, the level corresponding to the single anomaly type with the highest response level should be used as the benchmark, and the level should be raised by one level as the final emergency response level. If the level after the upgrade exceeds the preset highest response level (such as level one response), it should be directly determined as the highest response level.

[0172] Reference Figure 4 In one embodiment of this example, step S105, which obtains the first emergency response plan based on the emergency response level and the type of safety anomaly, includes steps S501 to S506:

[0173] Step S501: Establish an emergency response plan database, wherein the emergency response plan database pre-stores corresponding plan indexes for different emergency response levels and different types of safety anomalies.

[0174] Specifically, the emergency response plan database is a database system that stores various emergency response plans and related index information. The plan index is an identifier used to associate emergency response levels and security anomaly types with specific response plans. For example, "Level 1 Response - Malicious Intrusion Anomaly" corresponds to index A1, and "Level 3 Response - Temperature and Humidity Anomaly" corresponds to index C3, etc. The pre-stored plans cover standardized response content for different levels and types of anomalies, providing basic data support for subsequent plan retrieval.

[0175] Step S502: Generate matching query conditions based on the determined emergency response level and safety anomaly type.

[0176] Specifically, the matching query conditions are search conditions constructed based on the determined emergency response level and security anomaly type. For example, if the emergency response level is Level 2 and the security anomaly type is general intrusion anomaly, then the query condition is "Level 2 response AND general intrusion anomaly". This condition must be consistent with the solution index format in the emergency response solution database to ensure that the corresponding index information can be accurately matched.

[0177] Step S503: Based on the matching query conditions, perform a precise search in the emergency response plan database to locate the corresponding plan index.

[0178] Specifically, precise retrieval refers to using database retrieval algorithms to compare each solution in the solution index according to the matching query conditions, and then filtering out the index information that matches perfectly. The purpose of locating the solution index is to quickly find the standardized emergency response framework corresponding to the current abnormal situation, avoid blindly searching in a massive number of solutions, and improve the efficiency of solution acquisition.

[0179] Step S504: Retrieve the corresponding standardized emergency response framework based on the located solution index.

[0180] Specifically, the standardized emergency response framework is a standardized review of the general procedures and core content of emergency response work. It includes the steps of the response process (such as early warning activation, personnel dispatch, on-site handling, and follow-up investigation), the emergency force dispatch path (such as the arrival route of security personnel and maintenance personnel), the handling path (such as the route to enter the abnormal area), and the handling measures (such as driving away intruders, adjusting environmental equipment, fire fighting and rescue, etc.). It is applicable to common abnormal situations of the same level and type.

[0181] Step S505: Based on the locked anomaly monitoring area and the obtained cultural relic level within the area, determine the spatial attributes of the anomaly monitoring area and the protection characteristics of the cultural relic within the area.

[0182] Specifically, the spatial attributes of an anomaly monitoring area refer to the spatial characteristics of the area, such as topography, building structure, passage distribution, and degree of enclosure. For example, the area may be an indoor exhibition hall (enclosed space), an outdoor mountainous area (complex terrain), or a narrow passage with multiple entrances and exits. The protection characteristics of cultural relics refer to the material type, preservation status, and protection taboos of the cultural relics in the area. For example, if the cultural relic is made of paper (sensitive to moisture and light), is in poor preservation status (damaged), and the protection taboo is that it is forbidden to spray it directly with water.

[0183] Step S506: Adapt the standardized emergency response framework by combining the spatial attributes and protection characteristics to form a first emergency response plan.

[0184] Specifically, adaptation adjustment refers to making personalized modifications to the general content in the standardized emergency response framework based on the spatial attributes and cultural relic protection characteristics of the abnormal monitoring area, so as to make it more in line with the actual situation of the current abnormal scenario, and avoid the failure of the response or secondary damage to cultural relics due to the mismatch between the general solution and the specific scenario. The adjusted framework is the first emergency response plan for the current abnormal situation.

[0185] In one embodiment of this example, step S506, which combines the spatial attributes and protection characteristics to adapt the standardized emergency response framework to form a first emergency response plan, includes steps S601 to S609:

[0186] Step S601: Extract regional terrain features and channel distribution from spatial attributes.

[0187] Specifically, regional terrain features refer to the terrain type and landform characteristics of the abnormal monitoring area, such as the flat terrain of the indoor exhibition hall, the mountainous terrain of the outdoor cultural relics area, and the hilly terrain. Terrain features will affect the passage efficiency of emergency forces and the deployment of disposal equipment. The distribution of passages refers to information such as the location of entrances and exits, the width of passages, the number of passages, and the setting of backup passages in the area, which is directly related to the planning of emergency force dispatching routes and personnel evacuation routes.

[0188] Step S602: Extract the material type, preservation status, and protection taboos of the cultural relic from the protection characteristics.

[0189] Specifically, the types of cultural relics include paper, wood, metal, ceramics, textiles, murals, etc., and cultural relics made of different materials have different tolerances to treatment measures; the preservation status refers to the current integrity of the cultural relics, such as whether there are problems such as damage, fading, mold, and corrosion. Cultural relics in poor preservation status require gentler treatment measures; protective prohibitions refer to operations that need to be avoided during the protection of cultural relics, such as paper cultural relics being prohibited from high humidity, metal cultural relics being prohibited from acidic substances, and murals being prohibited from strong light exposure and mechanical contact.

[0190] Step S603: Compare the handling procedure with the protective taboo requirements, and mark the conflicting steps.

[0191] Specifically, the comparison process involves comparing the steps in the standardized emergency response framework with the extracted cultural relic protection taboos one by one to identify steps that may violate the protection taboos. Conflicting steps refer to those steps that may damage cultural relics. For example, the "spraying water to extinguish fire" step in the standardized framework for abnormal fire hazards is a conflicting step if there are paper cultural relics in the corresponding area (water immersion is prohibited). It needs to be marked for subsequent replacement.

[0192] Step S604: Optimize emergency force dispatch routes and response routes based on regional terrain features and channel distribution.

[0193] Specifically, optimizing emergency response routes means adjusting the routes of emergency personnel and equipment based on regional terrain characteristics (such as avoiding steep sections in mountainous terrain) and the distribution of passages (such as prioritizing main passages that are wide enough and free of obstacles, while planning backup passages in case the main passages are blocked) to ensure rapid arrival at the abnormal area; optimizing response routes means planning the routes for carrying out response work after entering the abnormal area, which must avoid areas with dense cultural relics and dangerous areas (such as dense smoke sections in fire hazard areas) to ensure safe and efficient response work.

[0194] Step S605: Adjust the disposal measures based on the material type and preservation condition of the cultural relic.

[0195] Specifically, adjusting the disposal measures refers to refining and modifying the standardized disposal measures according to the material characteristics and preservation status of the cultural relics. For example, in response to abnormal temperature and humidity, if the cultural relics in the area are paper-based (sensitive to moisture), the standardized measure of "increasing humidity" will be adjusted to "starting dehumidification equipment and controlling the humidity at 50%-60%"; if the cultural relics are in poor preservation condition, the measure of "moving cultural relics on-site" will be adjusted to "transferring them by professional cultural relic protection personnel using special tools" to ensure that the disposal measures are effective and do not damage the cultural relics.

[0196] Step S606: Replace the conflicting steps with alternative disposal steps that are adapted to the current needs of cultural relic protection.

[0197] Specifically, replacing conflicting steps means deleting the steps marked as violating the taboos of cultural relic protection and replacing them with alternative steps that meet the protection requirements. For example, replacing "using water to extinguish the fire" for a fire in a paper cultural relic area with "using a carbon dioxide fire extinguisher to extinguish the fire" (carbon dioxide fire extinguishers leave no residue after extinguishing the fire and will not damage the paper cultural relic). When supplementing alternative disposal steps, the operating entity, operating procedures and precautions must be clearly defined to ensure that the alternative steps can be implemented.

[0198] Step S607: Integrate the optimized emergency force dispatch paths, response paths, adjusted response measures, and alternative response steps to form an adaptation and adjustment draft.

[0199] Specifically, the integration process involves sorting out and combining the optimized paths and adjusted handling steps according to the sequence of the handling process to form a logically coherent and complete adaptation and adjustment draft. The draft must include information on the entire emergency response process, from the mobilization and departure of emergency forces to entering the abnormal area to carry out the response, and then to the follow-up inspections after the response is completed, to ensure that the response work can be carried out in an orderly manner according to the process.

[0200] Step S608: Obtain the fit between the adaptation draft and the spatial attributes and protection characteristics.

[0201] Specifically, the fit is an indicator used to assess the degree to which the draft adjustment is matched with the spatial attributes and cultural relic protection characteristics of the abnormal monitoring area. The higher the fit, the more the draft meets the needs of the actual scenario and the more guaranteed the disposal effect. Obtaining the fit requires a comprehensive evaluation from multiple dimensions such as path adaptability, measure safety, and process rationality.

[0202] Step S609: If the fit meets the preset fit threshold, the adaptation and adjustment draft will be determined as the first emergency response plan.

[0203] Specifically, the preset fit threshold is a pre-set critical value for judging whether a draft is qualified, which is jointly determined by cultural relic protection experts and security management experts. If the fit reaches or exceeds the threshold, it means that the adapted draft can well adapt to the spatial attributes and cultural relic protection needs of the current scenario, and can be directly determined as the first emergency response plan and implemented. If the threshold is not met, it needs to be returned to be optimized and adjusted again until the fit meets the standard.

[0204] In one embodiment of this example, step S608, obtaining the fit between the adaptation draft and the spatial attributes and protection characteristics, includes steps S701 to S705:

[0205] Step S701: Based on the distribution of emergency force dispatch paths and channels, analyze the coverage ratio of dispatch paths to key channels and the activation status of backup channels, generate a path coverage evaluation, and convert the path coverage evaluation into dispatch path fit.

[0206] Specifically, critical channels refer to the core channels that emergency forces must pass through to reach abnormal areas, such as main roads and entrance / exit channels; path coverage ratio refers to the proportion of the length of critical channels included in the dispatch path to the total length of critical channels. The higher the ratio, the stronger the rationality of the dispatch path; the availability of backup channels refers to whether backup channels are planned in the dispatch path and whether backup channels can be quickly activated when the main channel is blocked; path coverage evaluation is a qualitative evaluation (such as excellent, good, average, poor) formed by combining coverage ratio and backup channel availability. Through preset scoring rules, it can be converted into a quantitative value between 0 and 1, that is, the dispatch path fit.

[0207] In this embodiment, the generation of path coverage evaluation needs to be achieved through the following two steps: First, the critical channel coverage ratio is calculated. First, a list of critical channels (including main roads, emergency entrances and exits, core transfer channels, etc.) in and around the abnormal monitoring area is compiled, the total length of each critical channel is counted, and then the overlapping sections of the scheduling path and the critical channels are matched. The ratio of the total length of the overlapping section to the total length of the critical channel is calculated to obtain the coverage ratio (value range 0-1); Second, the effectiveness of backup channel activation is evaluated. It is checked whether the scheduling path includes at least one backup channel that does not overlap with the main scheduling path. At the same time, it is verified whether the width and passage capacity of the backup channel meet the needs of emergency forces (personnel, equipment) for rapid passage, and whether there are obstacles, construction blockades, or other factors that affect activation. Based on the above two analysis results, a path coverage evaluation is generated, with evaluation levels divided into four levels: Excellent, Good, Average, and Poor. "Excellent" indicates coverage ≥ 90% and fully usable backup channels; "Good" indicates coverage ≤ 80% and mostly usable backup channels; "Average" indicates coverage ≤ 60% and slightly restricted backup channels; and "Poor" indicates coverage < 60% and unusable backup channels. The conversion of path coverage evaluation to scheduling path fit uses a preset scoring rule: the four evaluation levels are mapped to quantitative values ​​in the 0-1 range, where "Excellent" corresponds to 1.0, "Good" to 0.8, "Average" to 0.5, and "Poor" to 0.2. In special scenarios (such as complete lack of coverage of core channels, missing backup channels, and congestion risk on the main channel), an additional 0.1-0.3 points are deducted from the corresponding level score, and the final score is the scheduling path fit.

[0208] Step S702: Based on the disposal route and regional terrain features, assess the difficulty of passage and the number of potential risk points of the disposal route in different terrain sections, generate a route safety assessment, and convert the route safety assessment into disposal route fit.

[0209] Specifically, the difficulty of passage in different terrain sections refers to the degree of obstruction to the passage of personnel and equipment by different terrains (such as flat sections, steep sections, narrow passages, etc.) along the disposal route; potential risk points refer to potential safety hazards in the disposal route, such as the risk of falling objects from heights, flammable material storage points, etc.; the route safety evaluation is a qualitative evaluation formed by combining the difficulty of passage and the number of potential risk points, which is also converted into a quantitative value between 0 and 1 through the preset scoring rules used in step S701 as shown in the figure, that is, the disposal route fit.

[0210] Step S703: Based on the disposal measures, alternative disposal steps, material type of cultural relics and preservation status, determine whether the impact of the disposal measures on the cultural relics meets the preset cultural relic protection standards, generate a safety assessment of the measures, and convert the safety assessment of the measures into a measure fit.

[0211] Specifically, the pre-set cultural relic protection standards refer to the national and industry standards related to cultural relic protection, which clarify the safety requirements in the disposal process of various cultural relics; judging the degree of impact of disposal measures on cultural relics refers to analyzing whether the measures will damage the material of the cultural relics and whether they will affect the preservation status of the cultural relics, such as whether they meet the requirements of protective taboos and whether they adopt gentle operation methods; the safety evaluation of the measures is a qualitative evaluation based on the judgment results, which is converted into a quantitative value between 0 and 1, which is the measure fit degree. The higher the value, the safer the disposal measures are.

[0212] Step S704: Based on the treatment measures and alternative treatment steps and the protection taboo requirements, compare and count the number and severity of items in which the treatment measures violate the protection taboo requirements, generate a taboo compliance evaluation, and convert the taboo compliance evaluation into a taboo fit degree.

[0213] Specifically, item-by-item comparison refers to checking the adjusted disposal measures and alternative disposal steps against the extracted cultural relic protection taboo requirements one by one, and counting the number of items that violate the taboo; severity refers to the degree of damage that the violation of the taboo may cause to the cultural relic (such as minor damage, moderate damage, and serious damage); taboo compliance evaluation is a qualitative evaluation formed by combining the number of violations and severity. For example, no violations are excellent, a few minor violations are good, and a large number of serious violations are poor. The taboo compliance degree is converted into a quantitative value between 0 and 1 through the scoring rules.

[0214] Step S705: Establish a fit aggregation function, taking scheduling path fit, disposal path fit, measure fit and taboo fit as input variables, calculate the comprehensive fit value, and take the comprehensive fit value as the final fit.

[0215] Specifically, the fit aggregation function is a mathematical function used to integrate the fit values ​​of various dimensions. Considering that the weights of different dimensions of fit on the overall suitability of the solution are different (e.g., the weights of measure fit and taboo fit should be higher than those of path fit), a weighted summation method is used to construct the function, that is, overall fit = scheduling path fit × a + disposal path fit × b + measure fit × c + taboo fit × d. Wherein, a, b, c, and d are the weight coefficients corresponding to the matching degree of dispatch path, the matching degree of disposal path, the matching degree of measures, and the matching degree of taboo, respectively, and satisfy a+b+c+d=1. The setting of weight coefficients should be determined by cultural relic protection experts, security engineering technicians, and emergency management experts in conjunction with the priority of cultural relic protection and the core needs of emergency response. Alternatively, they can be pre-configured and adjusted according to the different protection characteristics of cultural relics in the abnormal monitoring area, such as grade and material. For example, the weight allocation is: a=0.2 (matching degree of dispatch path), b=0.2 (matching degree of disposal path), c=0.3 (matching degree of measures), d=0.3 (matching degree of taboo), so as to highlight the core role of the safety of disposal measures and the compliance with taboos in cultural relic protection.

[0216] For example, if in a certain scenario the scheduling path fit is 0.8, the handling path fit is 0.7, the measure fit is 0.9, and the taboo fit is 1.0, substituting the above weights, we can calculate: Overall fit = 0.8 × 0.2 + 0.7 × 0.2 + 0.9 × 0.3 + 1.0 × 0.3 = 0.16 + 0.14 + 0.27 + 0.3 = 0.87. If the preset fit threshold is 0.8, then the overall fit of this adaptation and adjustment draft meets the requirements and can be determined as the first emergency response plan.

[0217] It should be noted that the weighting coefficients can be dynamically adjusted according to the cultural relic level of the abnormal monitoring area: for abnormal scenarios in core cultural relic areas, the weights of measure fit and taboo fit can be appropriately increased (e.g., c=0.35, d=0.35), while the weight of path fit can be decreased (e.g., a=0.15, b=0.15); for abnormal scenarios in general cultural relic areas, the basic weight allocation can be maintained or the path fit weight can be slightly increased to balance the efficiency of handling and the needs of cultural relic protection.

[0218] Reference Figure 5 In one embodiment of this example, step S107, based on current security monitoring data and historical security data, obtains security risk trends, including steps S801 to S809:

[0219] Step S801: Obtain current security monitoring data and historical security data with a unified time reference.

[0220] Specifically, a unified time benchmark refers to standardizing and aligning the collection time and statistical period of current security monitoring data with historical security data. For example, both should use "hours" as the statistical unit, extracting monitoring data from the same time period each day (e.g., 9:00-10:00) to avoid distortion in trend analysis due to inconsistent time dimensions. The scope of historical security data acquisition needs to be determined based on the change cycle of monitoring indicators. For short-cycle fluctuation indicators such as temperature, humidity, and gas concentration, historical data from the past month can be selected; for long-cycle change indicators such as the preservation status of cultural relics, historical data from the past 3-6 months can be selected. At the same time, it is necessary to ensure that the monitoring indicator type, data acquisition equipment model, and data accuracy of historical data are consistent with those of current data to guarantee data comparability.

[0221] Step S802: Construct time series data for each security indicator according to the type of security indicator.

[0222] Specifically, each time series includes historical data points arranged in chronological order and the most recently acquired current data point. Security indicator types include environmental indicators (temperature and humidity, harmful gas concentration, smoke concentration, etc.), personnel indicators (personnel flow density, authorized personnel stay duration, etc.), and cultural relic status indicators (surface humidity of cultural relics, sealing performance of display cases, etc.). The time series data is constructed as follows: with time as the horizontal axis and indicator value as the vertical axis, the current and historical data for the same indicator are arranged in chronological order to form a single-indicator time series dataset, such as a "temperature-time" series or a "sulfur dioxide concentration-time" series. Each series must include a data collection timestamp and the corresponding indicator value to facilitate subsequent time series analysis.

[0223] Step S803: Perform data quality verification on each time series, identify and remove distorted data points.

[0224] Specifically, the purpose of data quality verification is to eliminate the interference of abnormal data on trend analysis. Verification includes data completeness (whether there are missing values), data reasonableness (whether it exceeds the physical range of the indicator, such as relative humidity not being greater than 100%), and data consistency (whether the data for the same indicator collected by different devices at the same time point deviates too much). For data points with missing values, linear interpolation or nearest neighbor mean methods can be used to supplement them; distorted data points that exceed the reasonable range or have excessive consistency deviations are directly removed. For example, if the relative humidity value collected by the temperature and humidity sensor at a certain moment is 120%, which clearly exceeds the physical reasonable range, it is judged as a distorted data point and removed.

[0225] Step S804: Perform time series decomposition on each verified time series to separate the trend component reflecting the long-term changes of the indicator, the periodic component reflecting the periodic pattern, and the residual component reflecting random fluctuations.

[0226] Specifically, the time series decomposition employs the STL (Seasonal and Trend decomposition using Loess) algorithm. This algorithm is suitable for decomposing non-stationary time series and can effectively separate trend, periodic, and residual components. The trend component reflects the overall direction of change of security indicators over a longer period, such as the long-term trend of temperature and humidity with seasonal variations. The periodic component reflects the periodic fluctuations of the indicators, such as the daily periodic fluctuations in gas concentration caused by changes in visitor density, and the monthly fluctuations in temperature and humidity caused by the maintenance cycle of ventilation equipment. The residual component reflects random fluctuations after excluding the influence of trend and periodicity, such as short-term temperature and humidity fluctuations caused by sudden weather changes, and occasional equipment interference signals. After decomposition, the validity of each component needs to be verified to ensure that the decomposition results accurately reflect the changing patterns of the indicators.

[0227] Step S805: Analyze the trend components of each time series, calculate the slope and direction of the trend components within the preset time period, and generate independent trend descriptions for each security indicator.

[0228] Specifically, the preset time period can be set according to trend analysis needs, such as the trend component changes over the past 7 days or the past 15 days. The slope of change is calculated using a linear regression method, by fitting the linear equation y=kx+b of the trend component, where the sign of the slope k indicates the trend direction (k>0 for an upward trend, k<0 for a downward trend, and k=0 for a stable trend), and the absolute value of the slope indicates the rate of trend change (the larger the absolute value, the faster the change). Independent trend descriptions need to clearly specify the indicator name, trend direction, rate of change, and possible influencing factors, such as "Temperature indicator: showing an upward trend over the past 15 days, with a slope of 0.05℃ / day, possibly related to seasonal warming and insufficient ventilation in the exhibition hall" and "Sulfur dioxide concentration indicator: showing a stable trend over the past 7 days, with a slope close to 0, and no obvious abnormal changes."

[0229] Step S806: Analyze the periodic components of each time series, determine whether the period length and fluctuation amplitude of the periodic components have abnormal fluctuations that exceed the historical normal range, and generate a periodic anomaly description for each security indicator.

[0230] Specifically, the period length is determined using Fourier transform to identify the main frequency components in the periodic component and determine the period of index fluctuation (e.g., daily, weekly, monthly). The fluctuation amplitude is determined by calculating the standard deviation of the periodic component, reflecting the severity of the periodic fluctuation. The historical normal range refers to the reasonable interval of period length and fluctuation amplitude based on long-term historical data statistics. If the period length of the current periodic component changes significantly (e.g., the original daily period becomes random fluctuation), or the fluctuation amplitude exceeds the upper limit of the historical normal range (e.g., the daily period fluctuation amplitude changes from ±0.5℃ to ±2℃), then a periodic anomaly is determined to exist. The description of the periodic anomaly must clearly specify the type of anomaly (abnormal period length / abnormal fluctuation amplitude), the degree of anomaly, and possible causes. For example, "Relative humidity index: the periodic fluctuation amplitude is ±3%, exceeding the historical normal range (±1.5%), indicating an abnormal fluctuation amplitude, which may be related to the unstable operation of ventilation equipment."

[0231] Step S807: Analyze the residual components of each time series, assess whether the fluctuation amplitude and frequency of the residual components are significantly higher than the historical baseline level, and generate a description of the random fluctuation risk of each security indicator.

[0232] Specifically, the historical baseline level refers to the normal range of fluctuation amplitude (standard deviation) and fluctuation frequency (number of fluctuations per unit time) based on historical residual data. By calculating the standard deviation and fluctuation frequency of the current residual item and comparing them with the historical baseline level, if both are significantly higher than the historical baseline (e.g., the standard deviation is more than twice the historical baseline, and the fluctuation frequency is more than 1.5 times the historical baseline), then a random fluctuation risk is identified, which may indicate potential equipment failure, environmental interference, or other problems. The description of random fluctuation risk needs to clearly specify the risk level (slight / moderate / severe), fluctuation characteristics, and potential risk points. For example, "Smoke concentration index: The fluctuation amplitude of the residual item is 2.3 times the historical baseline, and the fluctuation frequency has increased significantly, indicating a moderate random fluctuation risk, which may be related to the aging of smoke sensors or interference from temporary construction in the surrounding area."

[0233] Step S808: By integrating the independent trend descriptions, periodic anomaly descriptions, and random fluctuation risk descriptions of various security indicators, a multi-dimensional risk evolution map representing the overall security situation evolution characteristics is constructed.

[0234] Specifically, the multidimensional risk evolution map is a comprehensive visualization and analysis tool. Using time as the horizontal axis and security indicator type as the vertical axis, it integrates information such as the trend direction, cyclical anomalies, and random fluctuation risk levels of various indicators. Different colors and symbols are used to mark different risk states (e.g., green indicates no risk, yellow indicates slight risk, orange indicates moderate risk, and red indicates severe risk). The map can intuitively display the risk evolution process of each indicator and the correlation between different indicators, such as the correlation between rising temperature and humidity trends and abnormal fluctuations in harmful gas concentrations, and the synchronicity between cyclical anomalies in personnel flow density and cyclical anomalies in gas concentrations, providing visual support for subsequent risk projection.

[0235] Step S809: Based on the multidimensional risk evolution map, the probabilistic evolution path and intensity change of security risks within a preset time period are calculated using a risk extrapolation algorithm, and the output is a security risk trend.

[0236] Specifically, the risk projection algorithm can employ an LSTM (Long Short-Term Memory) model, which effectively captures long-term dependencies in time-series data and is suitable for trend projection of security risks. The model input consists of the component data (trend, cycle, residual) of each indicator in the multidimensional risk evolution map, with a preset future time period (e.g., the next 24 hours, the next 7 days) as the prediction duration. The model output includes the probabilistic evolution path of each security indicator (e.g., "There is an 85% probability that the temperature will continue to rise in the next 24 hours, and a 15% probability that it will stabilize") and intensity changes (e.g., "If the temperature continues to rise, it may reach 25℃ in the next 12 hours, exceeding the upper limit of the suitable temperature and humidity by 3℃"). The output of the security risk trend should include the probability of risk occurrence, the risk intensity level, the possible risk outbreak time, and the scope of impact, providing a quantitative basis for judging potential security hazards. For example, "In the next 7 days, there is a 90% probability that the relative humidity in the exhibition hall will continue to rise, the risk intensity level is moderate, and it is expected that it may exceed the suitable range (50%-60%) on the 5th day, affecting the paper artifact display cases in the core cultural relic area."

[0237] For example, if in a certain scenario the scheduling path fit is 0.8, the handling path fit is 0.7, the measure fit is 0.9, and the taboo fit is 1.0, substituting the above weights, we can calculate: Overall fit = 0.8 × 0.2 + 0.7 × 0.2 + 0.9 × 0.3 + 1.0 × 0.3 = 0.16 + 0.14 + 0.27 + 0.3 = 0.87. If the preset fit threshold is 0.8, then the overall fit of this adaptation and adjustment draft meets the requirements and can be determined as the first emergency response plan.

[0238] It should be noted that the weighting coefficients can be dynamically adjusted according to the cultural relic level of the abnormal monitoring area: for abnormal scenarios in core cultural relic areas, the weights of measure fit and taboo fit can be appropriately increased (e.g., c=0.35, d=0.35), while the weight of path fit can be decreased (e.g., a=0.15, b=0.15); for abnormal scenarios in general cultural relic areas, the basic weight allocation can be maintained or the path fit weight can be slightly increased to balance the efficiency of handling and the needs of cultural relic protection.

[0239] Secondly, this application also discloses an emergency response system for the security management of cultural relics.

[0240] Reference Figure 6 An emergency response system for the security management of cultural relics includes:

[0241] The first data acquisition module 1 is used to acquire current security monitoring data and preset security benchmark data of the cultural relic protection area;

[0242] Deviation calculation module 2 is used to obtain the safety deviation value based on the current security monitoring data and the preset safety benchmark data;

[0243] Anomaly handling module 3, if the safety deviation value is greater than or equal to the first deviation threshold, is used to initiate the emergency response process and obtain the safety anomaly type;

[0244] Level determination module 4 is used to determine the emergency response level based on the type of security anomaly;

[0245] The first solution generation module 5 is used to obtain the first emergency response plan based on the emergency response level and the type of safety anomaly.

[0246] The second data acquisition module 6 is used to acquire historical security data if the safety deviation value is less than the first deviation threshold.

[0247] Trend analysis module 7 is used to obtain security risk trends based on current security monitoring data and historical security data;

[0248] Hazard assessment module 8 is used to determine whether there are potential safety hazards based on safety risk trends;

[0249] The second solution generation module 9 is used to obtain a second emergency response plan if there are potential safety hazards.

[0250] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. An emergency response method for the security management of cultural relics, characterized in that, include: Obtain current security monitoring data and preset safety benchmark data for cultural relic protection areas; Based on current security monitoring data and preset security benchmark data, obtain the security deviation value; If the safety deviation value is greater than or equal to the first deviation threshold, the emergency response procedure is initiated and the type of safety anomaly is obtained; Determine the emergency response level based on the type of security anomaly; Based on the emergency response level and the type of safety anomaly, obtain the first emergency response plan; If the safety deviation value is less than the first deviation threshold, then historical security data is obtained; Based on current and historical security monitoring data, obtain security risk trends; Based on security risk trends, determine whether there are potential security risks; If potential safety hazards exist, obtain a second emergency response plan; The step of obtaining the first emergency response plan based on the emergency response level and the type of safety anomaly includes: Establish an emergency response plan database, which pre-stores corresponding plan indexes for different emergency response levels and different types of safety anomalies; Based on the determined emergency response level and security anomaly type, generate matching query conditions; Based on the matching query conditions, a precise search is performed in the emergency response plan database to locate the corresponding plan index; Retrieve the corresponding standardized emergency response framework based on the located solution index; Based on the identified anomaly monitoring areas and the obtained cultural relic grades within those areas, the spatial attributes of the anomaly monitoring areas and the protection characteristics of the cultural relic within those areas are determined. The standardized emergency response framework is adapted to fit the aforementioned spatial attributes and protection characteristics to form a first emergency response plan; The standardized emergency response framework includes response process steps, emergency force dispatch paths, response routes, and response measures; the adaptation adjustment of the standardized emergency response framework in conjunction with the spatial attributes and protection characteristics to form a first emergency response plan includes: Extract regional terrain features and corridor distribution from spatial attributes; Extract the material type, preservation status, and protective restrictions of cultural relics from their protective characteristics; Compare the handling procedures with the protective restrictions, and mark the conflicting steps; Based on the regional terrain features and the distribution of passageways, optimize the emergency response and dispatch routes; Adjust disposal measures based on the material type and preservation condition of the cultural relics; Replace conflicting steps with alternative handling steps that are adapted to current cultural relic protection needs; The integrated and optimized emergency response force dispatch paths, response paths, adjusted response measures, and alternative response steps were used to form an adaptation and adjustment draft. Obtain the degree of fit between the draft adaptation and spatial attributes and protection characteristics; If the fit meets the preset fit threshold, the adaptation and adjustment draft will be determined as the first emergency response plan; The degree of fit between the draft adaptation and spatial attributes and protection characteristics includes: Based on the distribution of emergency force dispatch routes and channels, analyze the coverage ratio of dispatch routes to key channels and the activation status of backup channels, generate a route coverage evaluation, and convert the route coverage evaluation into dispatch route fit. Based on the disposal route and regional terrain features, assess the difficulty of passage and the number of potential risk points of the disposal route in different terrain sections, generate a route safety assessment, and convert the route safety assessment into disposal route fit. Based on the disposal measures, alternative disposal steps, material type and preservation status of the cultural relics, determine whether the impact of the disposal measures on the cultural relics meets the preset cultural relic protection standards, generate a safety assessment of the measures, and convert the safety assessment of the measures into a measure fit. Based on the disposal measures, alternative disposal steps, and protective taboo requirements, the number and severity of items in which the disposal measures violate the protective taboo requirements are compared and counted one by one, and a taboo compliance evaluation is generated. The taboo compliance evaluation is then converted into taboo fit. Establish a fit aggregation function, take scheduling path fit, disposal path fit, measure fit and taboo fit as input variables, calculate the comprehensive fit value, and take the comprehensive fit value as the final fit.

2. The emergency response method for cultural relic security management according to claim 1, characterized in that, If the safety deviation value is greater than or equal to the first deviation threshold, the emergency response process is initiated and the type of safety anomaly is obtained, including: If the safety deviation value is greater than or equal to the first deviation threshold, a security warning signal will be immediately triggered and the abnormal monitoring area will be locked. Acquire multi-dimensional monitoring data of the anomaly monitoring area, including environmental monitoring data, personnel activity data, and cultural relic status data; Feature identification is performed on personnel activity data to determine whether there are traces of intruders in the abnormal monitoring area; If no traces of unauthorized intruders are found, conduct anomaly screening of environmental monitoring data to identify abnormal environmental indicators; Based on the type of environmental anomaly indicators, the safety anomaly type is determined to be an environmental anomaly; If traces of intruders are found, their activity trajectory and behavioral characteristics will be obtained. Based on the activity trajectory, determine whether there is contact with the cultural relic itself, and combine behavioral characteristics to analyze the intrusion intention; If the artifact itself is touched and the intent of the intrusion is to steal or damage it, then the security anomaly type is determined to be a malicious intrusion anomaly. If the intrusion does not involve contact with the artifact itself or the intent is merely wandering aimlessly, then the security anomaly type is determined to be a general intrusion anomaly.

3. The emergency response method for cultural relic security management according to claim 2, characterized in that, The environmental anomalies include abnormal temperature and humidity, abnormal gas concentration, and abnormal fire hazard; if no traces of intruders are found, the environmental monitoring data will be screened for anomalies to determine the environmental anomaly indicators, including: If no traces of intruders are found, extract the temperature and humidity values, harmful gas concentration values, and smoke concentration values ​​from the environmental monitoring data. Compare the temperature and humidity values ​​with the temperature and humidity range that the cultural relic is suitable for, and calculate the temperature and humidity deviation rate. Compare the concentration values ​​of harmful gases with the safe concentration thresholds to calculate the multiple by which the concentration exceeds the standard; Compare the smoke concentration value with the fire warning threshold to determine whether a fire warning has been triggered. If the temperature and humidity deviation rate is greater than the temperature and humidity deviation threshold and other indicators are normal, it is judged as an abnormal temperature and humidity. If the concentration of harmful gas exceeds the standard by more than the threshold while other indicators are normal, it is determined to be an abnormal gas concentration. If the smoke concentration exceeds the fire warning threshold, it is determined to be an abnormal fire hazard. If two or more indicators are abnormal, it is judged as a complex environmental anomaly.

4. The emergency response method for cultural relic security management according to claim 1, characterized in that, The determination of the emergency response level based on the type of security anomaly includes: Obtain the cultural relic classification of cultural relics within the anomaly monitoring area; Based on the grade of cultural relics, the area is divided into core cultural relics area, important cultural relics area and general cultural relics area; If the security anomaly is classified as a malicious intrusion anomaly and occurs in the core cultural relics area, the emergency response level will be determined as Level I. If the security anomaly is classified as a malicious intrusion anomaly and occurs in an important cultural relics area, or if the security anomaly is classified as a general intrusion anomaly and occurs in a core cultural relics area, then the emergency response level is determined to be Level II. If the security anomaly is classified as a general intrusion anomaly and occurs in an important cultural relics area, or if the security anomaly is classified as an environmental anomaly and occurs in a core cultural relics area, then the emergency response level is determined to be Level III. If the security anomaly type is environmental anomaly and occurs in an important cultural relics area, or if the security anomaly type is general intrusion anomaly and occurs in a general cultural relics area, then the emergency response level is determined to be Level IV. If the safety anomaly is classified as an environmental anomaly and occurs in a general cultural relics area, the emergency response level will be determined as Level V. If the safety anomaly is a complex environmental anomaly, the response level should be raised by one level based on the corresponding single anomaly handling level.

5. The emergency response method for cultural relic security management according to claim 1, characterized in that, The process of obtaining security risk trends based on current and historical security monitoring data includes: Obtain current security monitoring data and historical security data with a unified time reference; Based on the type of security indicator, time series data for each security indicator are constructed separately; Perform data quality checks on each time series, identifying and removing distorted data points; Each validated time series is decomposed into time series components to separate the trend components reflecting long-term changes in the indicators, the periodic components reflecting periodic patterns, and the residual components reflecting random fluctuations. Analyze the trend components of each time series, calculate the slope and direction of the trend components within a preset time period, and generate independent trend descriptions for each security indicator. Analyze the periodic components of each time series, determine whether there are abnormal fluctuations in the period length and fluctuation amplitude of the periodic components that exceed the historical normal range, and generate a periodic anomaly description for each security indicator. Analyze the residual components of each time series, assess whether the fluctuation amplitude and frequency of the residual components are significantly higher than the historical baseline level, and generate a description of the random fluctuation risk of each security indicator. By integrating the independent trend descriptions, periodic anomaly descriptions, and random fluctuation risk descriptions of various security indicators, a multidimensional risk evolution map representing the overall security situation evolution characteristics is constructed. Based on the multidimensional risk evolution map, the probabilistic evolution path and intensity change of security risks within a preset time period are calculated using a risk extrapolation algorithm, and the output is a security risk trend.

6. A cultural relic security management emergency response system, used to execute the method according to any one of claims 1 to 5, characterized in that, include: The first data acquisition module (1) is used to acquire the current security monitoring data and preset security benchmark data of the cultural relic protection area; Deviation calculation module (2) is used to obtain the safety deviation value based on the current security monitoring data and the preset safety benchmark data; The exception handling module (3) is used to initiate the emergency response process and obtain the type of safety exception if the safety deviation value is greater than or equal to the first deviation threshold. The level determination module (4) is used to determine the emergency response level based on the type of security anomaly; The first solution generation module (5) is used to obtain the first emergency response plan based on the emergency response level and the type of safety anomaly. The second data acquisition module (6) is used to acquire historical security data if the safety deviation value is less than the first deviation threshold. The trend analysis module (7) is used to obtain security risk trends based on current security monitoring data and historical security data; The hazard assessment module (8) is used to determine whether there are potential safety hazards based on safety risk trends; The second solution generation module (9) is used to obtain a second emergency response plan if there are potential safety hazards.

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