Park safety operation and maintenance management method based on digital twinborn technology

Abstract

The invention discloses a park safety operation and maintenance management method based on a digital twinborn technology, and relates to the technical field of park safety operation and maintenance management, and the method comprises the following steps: S1, obtaining park information which comprises park structure information, environment information and real-time operation and maintenance data; and S2, constructing a digital twinborn model of the park based on the obtained park structure information. According to the park safety operation and maintenance management method based on the digital twin technology, the conditions after different emergency measures are implemented are simulated, and different evacuation routes and guide modes are simulated for multiple times to evaluate the advantages and disadvantages of the scheme, so that the optimal evacuation scheme is selected, the safety of personnel in an emergency is improved, and the safety of the personnel is improved. The response efficiency and effect when the security event occurs are improved, so that the security event can be timely and effectively controlled when the security event occurs, and greater loss is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of park security operation and maintenance management, and specifically to a park security operation and maintenance management method based on digital twin technology. Background Art

[0002] In the security operation and maintenance management of the campus, for security incidents such as fire and illegal intrusion, the existing management system often relies on manual monitoring to detect anomalies before reporting and handling the process. This process may lead to delayed response; in actual scenarios, monitoring personnel may be inattentive or fatigued and unable to detect the occurrence of security incidents in time; and from the discovery of anomalies to the notification of relevant personnel and the organization of response measures, it takes a certain amount of time for information transmission and decision-making, which may result in the security incident not being promptly and effectively controlled in the early stages, thereby causing greater losses. Summary of the invention

[0003] In order to solve the above technical problems, the present invention is implemented through the following technical solutions: a park safety operation and maintenance management method based on digital twin technology, comprising the following steps: S1. Obtain park information, including park structure information, environmental information and real-time operation and maintenance data; S2. Constructing a digital twin model of the park based on the acquired park structure information; S3. Smart sensors are deployed in the park, including temperature sensors, humidity sensors, light sensors, and smoke sensors. Environmental information is collected through smart sensors, and the environmental information is linked with the digital twin model to perform intelligent monitoring and alarm of security events, and provide emergency response measures; S4. When a security incident occurs, based on the real-time simulation capability of the digital twin model, the effects of different emergency response measures are predicted to obtain effect feedback data, and the effect feedback data is combined with real-time operation and maintenance data to generate an emergency decision-making plan.

[0004] Preferably, the park structure information in step S1 includes the three-dimensional coordinates of the park, building layout, road traffic, equipment location and equipment attributes, the environmental information includes temperature, humidity, light, and smoke, and the real-time operation and maintenance data includes security monitoring video, equipment status data and personnel distribution data; wherein, the three-dimensional coordinates of the park include the three-dimensional coordinates of each sensor in the park coordinate system when it is installed.

[0005] Preferably, step S2 comprises the following steps: S21: The three-dimensional coordinate data of the park is converted by a coordinate conversion algorithm to obtain initial three-dimensional coordinate data; for the building layout information, the plane outline of the building is represented by a polygon, and the use of each layer is marked to obtain the initial building layout information; key parameters of road traffic information are extracted and roads are classified, and the locations of traffic facilities are marked to obtain initial road traffic information; the equipment location and attribute data are sorted and classified to obtain initial equipment location and attribute data; S22: Using satellite remote sensing technology and total station ground measurement to collect information related to the park's topography and obtain the park's topographic data; S23: Then, based on Unity3D as the basic framework of the digital twin model, the park is taken as the root node, and the buildings, roads, and equipment are taken as child nodes to establish the model infrastructure and obtain the digital twin platform; S24: In the digital twin platform, a topographic model of the park is created based on the initial three-dimensional coordinate data and terrain data; based on the initial building layout information, a three-dimensional model of the building in the park is constructed by AutoCAD to obtain a building model, and the building model is imported into the digital twin platform, and the building model is placed on the topographic model; S25: At the same time, for various types of equipment in the park, three-dimensional modeling is performed according to the equipment attributes and location data to obtain the equipment model; and the equipment model is integrated into the digital twin platform of the park, and integrated with the building model and terrain model to obtain the digital twin model of the park.

[0006] Preferably, in step S3, the environmental information is linked with the digital twin model, and the process is as follows: The collected environmental information is integrated with the digital twin model on the monitoring center server of the park. The temperature, humidity, light and smoke data are mapped to the corresponding positions in the digital twin model through the location information of the sensor. In the digital twin model, the current temperature and humidity values ​​are displayed in the rooms of each building according to the location of the sensor, and the light intensity values ​​are displayed on the roads of the park. The smoke sensor data is presented in the form of a smoke concentration cloud map in the entire park model, which intuitively shows the distribution of environmental information in the park. Establish a data association model to associate each element in the digital twin model with environmental information: associate the structural material properties of the building with temperature and humidity data. Different temperature and humidity conditions will affect the performance of building materials (for example, metal materials may be corroded faster in high temperature and high humidity environments); associate the lighting facilities in the park with light sensor data to automatically adjust the brightness and switch status of the lighting equipment according to the light intensity; and associate the smoke sensor data with the fire extinguishers, sprinkler systems and evacuation passages in the fire-fighting facilities in the park. Once smoke is detected, the affected area can be quickly identified and the corresponding emergency measures can be initiated; Design a real-time data-driven mechanism to enable the digital twin model to be updated in real time according to changes in environmental information: when the sensor collects new environmental data, the model update event is immediately triggered; during the model update process, the corresponding elements in the model are visually adjusted according to the data changes; Visual adjustment process: When the temperature of area A rises, the color of area A in the digital twin model gradually changes from cold to warm according to the degree of temperature increase; humidity changes are reflected by changing the glossiness of the object surface; light intensity changes are directly reflected in the luminous effect and shadow changes of the lighting facilities; when the smoke concentration increases, the corresponding area in the model displays a gradually denser smoke effect, simulating the actual smoke diffusion situation, and providing an intuitive visual basis for the monitoring and analysis of security incidents.

[0007] Preferably, step S25 includes utilizing environmental information to implement an environmental simulation function in the digital twin model, and the process is as follows: The temperature data of the park is obtained through temperature sensors, and the temperature effect of the digital twin model is adjusted based on the temperature data to simulate the hot and cold performance in different seasons and weather conditions; The humidity data of the park is obtained through humidity sensors, and the air humidity in the digital twin model scene is changed based on the humidity data to show the degree of humidity influence on the surface of objects and the effect of fog influence; The lighting data of the park is obtained through light sensors, and based on the lighting data, the angle, intensity and shadow changes of sunlight are simulated in the digital twin model to express the natural transition and light and shadow effects between day and night; The smoke data of the park is obtained through smoke sensors, and the smoke diffusion in fire emergencies is simulated based on the smoke data.

[0008] Preferably, in step S3, intelligent monitoring and alarming of security events are performed, and emergency response measures are given, and the process is as follows: According to the park's security requirements and historical data, security event thresholds are set for each environmental parameter. In the monitoring center server, the collected environmental information is compared with the set security event threshold in real time. When no less than two environmental parameters exceed the corresponding security event threshold, it is determined that a security event has occurred. Once a security event is detected, an audible alarm, visual alarm, and message push are immediately triggered. Among them, security incidents include fire, high-temperature equipment failure, damage to items in humid environments, lighting failure, and illegal intrusion; At the same time, the alarm information is graded according to the severity, with illegal intrusion set to the most serious level 1, fire set to level 2, high temperature equipment failure set to level 3, damage to items in a humid environment set to level 4, and lighting failure set to level 5, the lowest level of severity; For serious safety incidents, high-pitched alarms and emergency SMS push notifications are used; serious safety incidents include fire warnings; ensuring that relevant personnel can receive notifications in a timely manner; Establish an emergency response plan library based on possible security incidents in the park; The emergency response plan library includes emergency response measures for fire, emergency response measures for high temperature equipment failure, emergency response measures for property damage, emergency response measures for lighting failure and emergency response measures for illegal intrusion; each emergency response measure describes the response measures for specific security incidents, including emergency handling procedures, personnel and equipment involved, action steps and time requirements; Among them, the emergency response plan for fire includes immediately activating the automatic sprinkler system and fire extinguishers in the fire-fighting facilities, organizing the evacuation of personnel, determining the evacuation route and assembly point, and notifying the fire department; Emergency response plan for high-temperature equipment failure, including notifying equipment maintenance personnel and taking temporary cooling measures: opening the backup cooling system, inspecting and repairing the equipment; When a security incident occurs and triggers an alarm, the monitoring center server matches the corresponding emergency plan from the emergency response plan library as an emergency response measure based on the type and severity of the security incident. This includes if there is a fire warning caused by high temperature in the warehouse, the fire emergency plan is selected and key information is extracted. Then, emergency measures are automatically executed according to the steps in the plan, and detailed action instructions are sent to relevant personnel, notifying warehouse managers to organize personnel evacuation and sending fire alarm information and park location to the fire department.

[0009] Preferably, according to the security requirements and historical data of the park, a security event threshold is set for each environmental parameter, and the process is as follows: For temperature, different temperature threshold ranges are set according to different functional areas. In the equipment room, the normal operating temperature range is set to 18-27°C. When the temperature exceeds 30°C or is lower than 15°C, it will affect the normal operation of the equipment and be regarded as a potential safety incident. In warehouses, set temperature thresholds based on the characteristics of the stored items, including warehouses storing flammable items, where temperatures exceeding 35°C may cause fire risks, and humidity thresholds are set between 30% and 60%; The light intensity threshold is set according to the lighting design and safety requirements of the park: the minimum light intensity of the park roads at night should meet the requirements for safe passage of pedestrians, and values ​​below the minimum light intensity are considered insufficient lighting safety events; For smoke concentration, a smoke critical value is set according to the sensitivity of the smoke sensor and the fire warning requirements. When the smoke concentration exceeds the smoke critical value, it is determined that a fire incident may occur.

[0010] Preferably, for the sound alarm: an alarm is sounded in the monitoring center, and the alarm information is broadcast to the entire park through the park broadcasting system; For visual alarms: The area where the security incident occurred is highlighted on the display screen of the monitoring center, and the corresponding area in the digital twin model flashes a red warning light; For message push: security event notifications are sent to the mobile APP of park managers, including event type, location, and environmental parameter values.

[0011] Preferably, when a security incident occurs, based on the real-time simulation capability of the digital twin model, the effects of different emergency response measures are predicted to obtain effect feedback data, and the process is as follows: By comparing the data collected by the smart sensor with the preset security event threshold, after determining that a security event has occurred, the security event information is transmitted to the digital twin model system; the security event information includes the event type, location, and severity of the event; In the digital twin model, security events are visually marked with flashing red icons, and event information is highlighted at the corresponding location of the model. At the same time, environmental parameters related to the event are displayed so that managers can intuitively understand the basic situation of the security event. Based on the type of security event, possible emergency response measures are extracted from the emergency response plan library; and the parameters and operation instructions corresponding to the emergency response measures are loaded into the digital twin model. Set simulation parameters in the digital twin model, including simulation time range, simulation step, and model accuracy. The simulation time range is set according to the urgency and expected duration of the security incident, including the next 10-30 minutes for fire simulation; simulation step: one simulation step per minute; model accuracy: determined according to the level of detail required for simulation, such as high accuracy required in personnel evacuation simulation to accurately reflect the flow of personnel; ensure that the simulation can accurately reflect the effects of different emergency response measures after implementation; simulate each emergency response measure in the digital twin model to obtain the simulated security incident parameter change information and campus facility change information; take the activation of the fire sprinkler system in a fire incident as an example, simulate the effect of water spraying into the fire area in the model based on the layout, water spraying intensity, and coverage of the sprinkler system; For personnel evacuation measures, collect personnel distribution data in the park and the layout and capacity of the evacuation channels. Based on the personnel distribution data and the layout and capacity of the evacuation channels, simulate the movement of personnel under different evacuation plans, and calculate the evacuation progress and success rate of personnel at different time points based on the walking speed of personnel and the congestion of the evacuation channels. And evaluate the advantages and disadvantages of various plans by simulating different evacuation routes and guidance methods multiple times, so as to obtain information on personnel evacuation changes and park operation changes. When simulating equipment overheating emergency response measures, adjust the equipment operating parameters, observe the changes in equipment temperature and pressure, and evaluate the impact on equipment performance and production processes. Simulate the cooling effect after the standby cooling system is started, including the cooling speed and the impact on the surrounding environment temperature, to determine whether the measure can effectively alleviate the problem of equipment overheating without causing other secondary disasters. After completing the simulation of each emergency response measure, collect the simulation result data output by the digital twin model; the simulation result data includes information on changes in security event parameters, park facility changes, personnel evacuation changes, and park operation changes; The collected simulation result data are collated and analyzed, the simulation results are presented in the form of graphs, and effect feedback data is generated. The effect feedback describes in detail the effect evaluation of each emergency response measure after implementation, including advantages and potential problems, so that managers can quickly understand and compare the effects of different measures.

[0012] Preferably, the effect feedback data and real-time operation and maintenance data are combined to generate an emergency decision-making plan, and the process is as follows: Establish effect feedback evaluation standards, evaluate simulation results from multiple dimensions, and set major evaluation indicators, including safety incident control effect, personnel safety level, park facility protection level, impact on park operations, and the possibility of secondary disasters; among them, safety incident control effect includes whether the fire is effectively controlled and whether equipment overheating is alleviated; personnel safety level includes the number of casualties and whether evacuation is timely and efficient; park facility protection level includes the degree of damage to buildings and equipment; the impact on park operations includes the time and scope of production and service interruption; the possibility of secondary disasters includes whether new safety issues are caused by emergency measures: electrical short circuit or flooding; The real-time operation and maintenance data is integrated with the optimal measures obtained by the digital twin model simulation, and the time synchronization and consistency of the data are ensured during the integration process; the actual occurrence of security incidents is compared and analyzed with the security incidents simulated by the digital twin model, the difference between the simulation and the actual situation is clarified, and the difference information is obtained. Based on the difference information, the parameters in the personnel evacuation simulation model are adjusted in combination with the real-time data of personnel distribution to make the simulation results more consistent with the actual situation, and the initial emergency decision after integration and adjustment is obtained; through data fusion, the actual status of security incidents and emergency responses can be more comprehensively understood, and the accuracy of emergency decisions can be improved; According to the evaluation criteria, each initial emergency decision is quantitatively scored to obtain a scoring result, and the decision with the highest score in the scoring result is taken as the preferred decision, and thus used as the emergency decision-making plan. For example, for fire emergency response measures, if the fire can be effectively controlled in a short period of time, the success rate of personnel evacuation is high, the damage to park facilities is small, the impact on operations is small, and no secondary disasters occur, then a high score is given; conversely, if the fire spreads more and more, casualties are serious, facilities are extensively damaged or new problems are caused, then a low score is given; through quantitative scoring, the advantages and disadvantages of different emergency response measures can be compared more intuitively, providing a basis for emergency decision-making.

[0013] The present invention provides a park safety operation and maintenance management method based on digital twin technology, which has the following beneficial effects: This campus security operation and maintenance management method based on digital twin technology uses the real-time simulation capabilities of the digital twin model to predict the effects of different emergency response measures when a security incident occurs. It simulates the situations after the implementation of different emergency measures, and evaluates the pros and cons of the plans through multiple simulations of different evacuation routes and guidance methods, thereby selecting the best evacuation plan, improving the safety of personnel in emergency situations, and improving the efficiency and effectiveness of response to security incidents, so that security incidents can be controlled in a timely and effective manner, thereby avoiding greater losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1This is a flowchart of a campus safety operation and maintenance management method based on digital twin technology in the present invention. DETAILED DESCRIPTION

[0015] The present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. The embodiments of the present invention are provided for the purpose of illustration and description, and are not intended to be exhaustive or to limit the present invention to the disclosed forms. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiments are selected and described in order to better illustrate the principles and practical applications of the present invention, and to enable those of ordinary skill in the art to understand the present invention and thereby design various embodiments with various modifications suitable for specific uses.

[0016] like Figure 1 As shown, the present invention provides a technical solution: a park safety operation and maintenance management method based on digital twin technology, comprising the following steps: S1. Obtain park information, including park structure information, environmental information and real-time operation and maintenance data; S2. Build a digital twin model of the park based on the acquired park structure information; S3. Smart sensors are deployed in the park, including temperature sensors, humidity sensors, light sensors, and smoke sensors. Environmental information is collected through smart sensors, and the environmental information is linked with the digital twin model to conduct intelligent monitoring and alarm of security events, and provide emergency response measures; S4. When a security incident occurs, based on the real-time simulation capability of the digital twin model, the effects of different emergency response measures are predicted, and effect feedback data is obtained. The effect feedback data is then combined with real-time operation and maintenance data to generate an emergency decision-making plan.

[0017] By acquiring the park's structural information, environmental information and real-time operation and maintenance data, the park's all-round information is integrated; this comprehensive information collection provides a rich data foundation for the park's safe operation and maintenance management, enabling managers to understand the park's actual situation from multiple angles, no longer limited to a single type of data, and thus more accurately grasp the park's operating status and potential problems.

[0018] The park structure information in step S1 includes the park's three-dimensional coordinates, building layout, road traffic, equipment location and equipment attributes; the environmental information includes temperature, humidity, light, and smoke; the real-time operation and maintenance data includes security monitoring videos, equipment status data, and personnel distribution data; among them, the park's three-dimensional coordinates include the three-dimensional coordinates of each sensor in the park coordinate system when it is installed.

[0019] Step S2 includes the following steps: S21: The three-dimensional coordinate data of the park is converted by a coordinate conversion algorithm to obtain initial three-dimensional coordinate data; for the building layout information, the plane outline of the building is represented by a polygon, and the use of each layer is marked to obtain the initial building layout information; key parameters of road traffic information are extracted and roads are classified, and the locations of traffic facilities are marked to obtain initial road traffic information; the equipment location and attribute data are sorted and classified to obtain initial equipment location and attribute data; S22: Using satellite remote sensing technology and total station ground measurement to collect information related to the park's topography and obtain the park's topographic data; S23: Then, based on Unity3D as the basic framework of the digital twin model, the park is taken as the root node, and the buildings, roads, and equipment are taken as child nodes to establish the model infrastructure and obtain the digital twin platform; S24: In the digital twin platform, a topographic model of the park is created based on the initial three-dimensional coordinate data and terrain data; based on the initial building layout information, a three-dimensional model of the building in the park is constructed by AutoCAD to obtain a building model, and the building model is imported into the digital twin platform, and the building model is placed on the topographic model; S25: At the same time, for various types of equipment in the park, three-dimensional modeling is performed according to the equipment attributes and location data to obtain the equipment model; and the equipment model is integrated into the digital twin platform of the park, and integrated with the building model and terrain model to obtain the digital twin model of the park; The process of building a digital twin model of the park based on the acquired park structure information is as follows: First, preprocess and standardize the park structure information: For the three-dimensional coordinate data of the park, the coordinate data from different sources are converted into a common coordinate system through the coordinate conversion algorithm to obtain the initial three-dimensional coordinate data; coordinate system unification is performed to ensure that the coordinates of all buildings and equipment are in the same reference system so as to accurately present their spatial position relationship in the model; For building layout information, polygons are used to represent the plane outline of the building, the purpose of each floor is marked, and the connection relationship between buildings is established, so as to complete the structural processing of the building layout information and obtain the initial building layout information; the purpose of each floor is marked, that is, the function of the building is divided into office area, production area, and storage area; the connection relationship between buildings is established, including connecting buildings through corridors and passages; For road traffic information, the key parameters of the road are extracted and the roads are classified into main roads, secondary roads and branch roads. The locations of traffic facilities are marked to obtain the initial road traffic information. The key parameters include center line, width, slope and turning radius. Traffic facilities include traffic lights, zebra crossings and parking lot entrances. Arrange and classify the equipment location and attribute data: mark the location according to the equipment type, and record the detailed attributes of the equipment to obtain the initial equipment location and attribute data; equipment types include power equipment, ventilation equipment, water supply and drainage equipment; detailed attributes include equipment model, power, production date, maintenance cycle; at the same time, collect information related to the park's terrain to obtain terrain data; Unity3D in the 3D modeling engine is selected as the basic framework of the digital twin model; the park is taken as the root node, and the buildings, roads, and equipment are taken as child nodes to establish the model infrastructure and obtain the digital twin platform; the digital twin model is divided into geographic information layer, building structure layer, equipment management layer, and environmental simulation layer; the geographic information layer is used to present the topography, geographical location, and surrounding environment of the park; the building structure layer is used to construct a 3D model of the building, including the appearance, internal structure, and decoration details; the equipment management layer is used to display and control various equipment in the park in real time, and realize the visualization and remote operation of the equipment status; the environmental simulation layer simulates the environmental effects of temperature, humidity, and light in the park in real time according to environmental data, and provides a realistic scene experience; the equipment management layer is connected with the real-time operation and maintenance data, and the equipment status is updated in real time through the data interface, and operation buttons are provided for remote control; the operation buttons include start, stop, and adjust parameters; the environmental simulation layer receives environmental information and uses the physical engine to simulate environmental changes, including the impact of temperature on airflow and the impact of light on shadows; Create a topographic model of the park based on the initial three-dimensional coordinate data and terrain data, including modeling of natural landscapes and laying of ground materials to ensure compliance with the actual geographical environment of the park; natural landscapes include hills, rivers, and lakes; ground materials include grass, concrete, and asphalt roads; based on the initial building layout information, use AutoCAD in the architectural design software to build a three-dimensional model of the building in the park, including the exterior design of the building to the internal structure, to obtain the building model; then import the building model into the digital twin platform; the exterior design of the building includes wall material, color, and roof shape; the internal structure includes room layout, stairs, and elevators; place the building model on the topographic model and adjust it according to the actual location and orientation of the building to ensure the natural integration of the building and the terrain; at the same time, establish a connection between the building model and the roads, parking lots, and green areas in the surrounding environment to form a complete park scene; At the same time, for various types of equipment in the park, three-dimensional modeling is carried out according to the equipment attributes and location data to obtain equipment models; various types of equipment in the park include power transformers, air-conditioning units, and fire-fighting equipment; among them, for power transformers, their oil tanks, windings, and radiators can be modeled so that the status and operation of the equipment can be intuitively displayed in the digital twin model; and the equipment model is integrated into the park's digital twin platform and integrated with the building model and terrain model; ensuring that the location of the equipment is accurate and can be associated with real-time operation and maintenance data. When the equipment status data changes, the equipment model in the digital twin model can update its display status in real time, including equipment color changes to indicate faults and animation effects to show the equipment's operating status; Other facilities in the park, including street lights, trash cans, and signboards, are also modeled and integrated to enrich the details and realism of the park's digital twin model. Although these facilities have little impact on the key functions of the park's operation, they play an important role in improving the level of refinement of park management and user experience, thus obtaining a digital twin model of the park.

[0020] The digital twin model built based on the park's structural information presents abstract data in an intuitive three-dimensional visualization form. Managers can clearly see the layout and status of the park's topography, buildings, roads, and equipment in the digital twin model. This visualization effect greatly improves the efficiency of information comprehension. Compared with traditional data reports in tables or text forms, managers can more quickly identify abnormal situations and potential safety hazards in the park. By rationally deploying a variety of smart sensors in the park and setting thresholds for each environmental parameter based on the park's security requirements and historical data, accurate monitoring of security events is achieved; this threshold-based monitoring method can promptly detect abnormal changes in environmental parameters and effectively capture potential security issues; Once a security incident is detected, the system will immediately trigger sound alarms, visual alarms and message push notifications. This multi-mode alarm method can ensure that relevant personnel in the park can receive security incident notifications in a timely manner no matter where they are.

[0021] In step S3, the environmental information is linked with the digital twin model, and the process is as follows: The collected environmental information is integrated with the digital twin model on the monitoring center server of the park. The temperature, humidity, light and smoke data are mapped to the corresponding positions in the digital twin model through the location information of the sensor. In the digital twin model, the current temperature and humidity values ​​are displayed in the rooms of each building according to the location of the sensor, and the light intensity values ​​are displayed on the roads of the park. The smoke sensor data is presented in the form of a smoke concentration cloud map in the entire park model, which intuitively shows the distribution of environmental information in the park. Establish a data association model to associate each element in the digital twin model with environmental information: associate the structural material properties of the building with temperature and humidity data. Different temperature and humidity conditions will affect the performance of building materials. Associate the lighting facilities in the park with light sensor data to automatically adjust the brightness and switch status of the lighting equipment according to the light intensity. The smoke sensor data is associated with the fire extinguishers, sprinkler systems and evacuation passages in the fire protection facilities in the park. Once smoke is detected, the affected area can be quickly determined and the corresponding emergency measures can be initiated. Design a real-time data-driven mechanism to enable the digital twin model to be updated in real time according to changes in environmental information: when the sensor collects new environmental data, the model update event is immediately triggered; during the model update process, the corresponding elements in the model are visually adjusted according to the data changes; Visual adjustment process: When the temperature of area A rises, the color of area A in the digital twin model gradually changes from cold to warm according to the degree of temperature increase; humidity changes are reflected by changing the glossiness of the object surface; light intensity changes are directly reflected in the luminous effect and shadow changes of the lighting facilities; when the smoke concentration increases, the corresponding area in the model displays a gradually denser smoke effect, simulating the actual smoke diffusion situation, and providing an intuitive visual basis for the monitoring and analysis of security incidents.

[0022] Step S25 includes utilizing environmental information to implement environmental simulation functions in the digital twin model, and the process is as follows: The temperature data of the park is obtained through temperature sensors, and the temperature effect of the digital twin model is adjusted based on the temperature data to simulate the hot and cold performance in different seasons and weather conditions; The humidity data of the park is obtained through humidity sensors, and the air humidity performance in the digital twin model scene is changed based on the humidity data to show the degree of humidity influence on the surface of objects and the effect of fog influence; The lighting data of the park is obtained through light sensors, and based on the lighting data, the angle, intensity and shadow changes of sunlight are simulated in the digital twin model to express the natural transition and light and shadow effects between day and night; The smoke data of the park is obtained through smoke sensors, and the smoke diffusion in fire emergencies is simulated based on the smoke data to provide visual support for emergency drills and safety management; Among them, the temperature data of the park is obtained through the temperature sensor, and the temperature effect of the digital twin model is adjusted based on the temperature data to simulate the hot and cold performance under different seasons and weather conditions. The process is as follows: In large-scale parks, temperature sensors are arranged at a grid spacing of 100 meters by 100 meters, and are deployed densely in key areas; key areas include computer rooms, production workshops, and areas with dense personnel. Temperature sensors are deployed reasonably in the park, and the number and location of sensors are determined according to the scale and layout of the park and the key areas that need to be monitored; Establish a temperature sensor data acquisition system to receive data from the sensor in real time and mark each data point with an accurate timestamp; set the acquisition frequency to once per minute, use Wi-Fi wireless transmission technology, and set up a communication protocol and signal strength monitoring mechanism. Once data transmission abnormalities are found, retransmission or alarm will be carried out in a timely manner; Then, the collected temperature data is cleaned to remove invalid data points. The data threshold is set as follows: data below -50℃ or above 60℃ is considered invalid to identify and filter invalid data points. The moving average method in the data smoothing algorithm is used to process data fluctuations caused by short-term interference. The processing process is as follows: the average value of the data in the past 10-minute window is used to replace the current abnormal data point, making the temperature data curve smoother and better reflecting the real temperature change trend. At the same time, the data is checked for integrity. For missing data points, linear interpolation can be used to supplement them to ensure the continuity of the temperature data in the time series. In the digital twin model, different temperature ranges are defined to correspond to different seasonal characteristics: The temperature range below 0℃ is mapped as a winter scene. The vegetation in the model appears withered, the water surface may be frozen, and the sky is darker and may be accompanied by falling snowflakes. The range of 10℃ to 25℃ is mapped to spring and autumn, when vegetation is green and growing moderately, and the sky is brighter; The temperature above 25℃ is mapped as summer, with more lush vegetation and stronger sunlight, which may be accompanied by heat wave distortion effects; In addition, under high temperature and high humidity conditions, the model simulates the effect of sultry weather, with condensation on the surface of objects in the model; under low temperature and low humidity conditions, the model simulates a dry and cold feeling, with higher air transparency and clearer surface textures; at the same time, combined with wind speed data, the model simulates the swaying effect of objects when the wind blows through the park, including swaying branches and fluttering flags, enhancing the realism of the scene; Physically based rendering (PBR) technology is used to adjust the temperature effect. In the PBR model, the reflectivity, roughness and color of the material are adjusted according to the temperature data. In cold weather, the reflectivity of the material increases, making it look colder; in hot weather, the color saturation of the material increases, making the surface look brighter; by calculating the propagation and scattering effects of light in different temperature environments, the lighting changes in different seasons and weather conditions are simulated; when the sunlight is weak in winter, the intensity and direct angle of the light are reduced, and the scattering effect of the ambient light is increased to create a cold and gloomy atmosphere; when the sunlight is strong in summer, the direct effect of the light is enhanced, the contrast of the shadows is increased, and the scene is brighter and hotter; Use particle systems to simulate weather effects, including snowflakes and raindrops; and determine the generation rate, size, and movement trajectory of particles based on temperature and humidity data: In snowy weather, when the temperature is below 0℃ and the humidity is high, a large number of snowflake particles are generated in the sky area of ​​the model. The size and shape of the snowflake particles are modeled according to the actual snowflake morphology. Their movement trajectory is affected by wind speed and gravity, and they fall and accumulate on the ground and the surface of objects. In rainy weather, when the humidity reaches the set threshold and the temperature is suitable, raindrop particles are generated, and the falling speed and splashing effect of the raindrop particles are dynamically adjusted according to the rainfall and wind speed, interacting with the objects in the model, including forming water accumulation on the ground and flowing on the surface of buildings. A real-time data-driven mechanism is established in the digital twin model. This mechanism is connected to the temperature sensor data acquisition system through a data interface, and the latest temperature data is obtained every ten seconds. Once new data is received, the model update event is triggered immediately to ensure that the temperature data can update the temperature effect of the model in a timely manner; in the model update event handler, the corresponding temperature effect adjustment algorithm is called according to the temperature data; first, the season and weather condition range to which the current temperature belongs are determined, and then the parameters of the material, lighting, particle system and other elements in the model are adjusted according to the preset mapping relationship and algorithm; if the current temperature is -5℃, it is determined to be cold winter weather, and the system will adjust the material parameters of the buildings, ground, and vegetation in the model to make them appear cold. At the same time, the snowflake particle system is started to simulate the snowfall effect, and the light intensity and color are adjusted to create a winter atmosphere; To ensure the performance of the model when updating the temperature effect in real time, an optimization strategy is adopted: Elements that are most affected by temperature, including vegetation, water bodies, and particle systems, are divided into dynamic layers. When updating the temperature effect, only the elements in the dynamic layer are recalculated and rendered to reduce unnecessary calculations. Graphics hardware acceleration technology: GPU acceleration is used to offload the complex calculation tasks in the temperature effect adjustment algorithm, including lighting calculations and particle motion simulation, to the GPU for execution, improving calculation efficiency and rendering speed. After the model is updated, the updated temperature effect is presented to the user in real time through the graphical user interface GUI; allowing the user to intuitively see the hot and cold performance of the park under different temperature conditions in the digital twin model, including the color changes on the surface of the building, the growth status of the vegetation, and the simulation of weather phenomena; At the same time, it provides user interaction functions. Users can adjust the time scale and quickly view the impact of temperature changes in different seasons and different times of the day on the park environment, enhance users' perception and understanding of the park environment, and provide strong support for the planning, management and operation of the park. Among them, park managers can formulate energy management strategies, personnel scheduling plans and emergency response plans in advance according to the park simulation effects under different seasons and weather conditions. Energy management strategies include increasing the operating power of refrigeration equipment during high temperatures in summer and strengthening warming measures during cold winters. Personnel scheduling plans include reasonably arranging outdoor workers under extreme weather conditions. Emergency response plans include launching corresponding drainage and snow removal emergency measures in severe weather such as heavy rain and blizzards. Among them, the simulation operation principle of realizing the environmental simulation function in the digital twin model by using the humidity data, light data and smoke data in the environmental information is the same as the operation method of simulating the environment by using temperature data as mentioned above.

[0023] In step S3, intelligent monitoring and alarm of security events are performed, and emergency response measures are given. The process is as follows: According to the park's security requirements and historical data, security event thresholds are set for each environmental parameter. In the monitoring center server, the collected environmental information is compared with the set security event threshold in real time. When no less than two environmental parameters exceed the corresponding security event threshold, it is determined that a security event has occurred. Once a security event is detected, an audible alarm, visual alarm, and message push are immediately triggered. Among them, security incidents include fire, high-temperature equipment failure, damage to items in humid environments, lighting failure, and illegal intrusion; At the same time, the alarm information is graded according to the severity, with illegal intrusion set to the most serious level 1, fire set to level 2, high temperature equipment failure set to level 3, damage to items in a humid environment set to level 4, and lighting failure set to level 5, the lowest level of severity; For serious safety incidents, high-pitched alarms and emergency SMS push notifications are used; serious safety incidents include fire warnings; ensuring that relevant personnel can receive notifications in a timely manner; Establish an emergency response plan library based on possible security incidents in the park; The emergency response plan library includes emergency response measures for fire, emergency response measures for high temperature equipment failure, emergency response measures for property damage, emergency response measures for lighting failure and emergency response measures for illegal intrusion; each emergency response measure describes the response measures for specific security incidents, including emergency handling procedures, personnel and equipment involved, action steps and time requirements; Among them, the emergency response plan for fire includes immediately activating the automatic sprinkler system and fire extinguishers in the fire-fighting facilities, organizing the evacuation of personnel, determining the evacuation route and assembly point, and notifying the fire department; Emergency response plan for high-temperature equipment failure, including notifying equipment maintenance personnel and taking temporary cooling measures: opening the backup cooling system, inspecting and repairing the equipment; When a security incident occurs and triggers an alarm, the monitoring center server matches the corresponding emergency plan from the emergency response plan library as an emergency response measure based on the type and severity of the security incident. This includes selecting the fire emergency plan and extracting key information if a fire warning is caused by high temperature in the warehouse. Then, the emergency measures are automatically executed according to the steps in the plan, and detailed action instructions are sent to relevant personnel, notifying warehouse managers to organize personnel evacuation, and sending fire alarm information and park location to the fire department. Among them, for the emergency response measures plan in the emergency response plan library: The emergency plan is modified according to the changes in the park's building structure, equipment updates, personnel adjustments and emerging safety risks, and the emergency response measures in the emergency response plan library are updated through monthly drills. At the same time, park staff are organized to conduct monthly emergency drills to improve their ability and proficiency in responding to safety incidents.

[0024] According to the park's security requirements and historical data, security event thresholds are set for each environmental parameter. The process is as follows: For temperature, different temperature threshold ranges are set according to different functional areas. In the equipment room, the normal operating temperature range is set to 18-27°C. When the temperature exceeds 30°C or is lower than 15°C, it will affect the normal operation of the equipment and be regarded as a potential safety incident. In warehouses, set temperature thresholds based on the characteristics of the stored items, including warehouses storing flammable items, where temperatures exceeding 35°C may cause fire risks, and humidity thresholds are set between 30% and 60%; The light intensity threshold is set according to the lighting design and safety requirements of the park: the minimum light intensity of the park roads at night should meet the requirements for safe passage of pedestrians, and values ​​below the minimum light intensity are considered insufficient lighting safety events; For smoke concentration, a smoke critical value is set according to the sensitivity of the smoke sensor and the fire warning requirements. When the smoke concentration exceeds the smoke critical value, it is determined that a fire incident may occur.

[0025] For sound alarms: an alarm is sounded in the monitoring center, and the alarm information is broadcast to the entire park through the park broadcasting system; For visual alarms: The area where the security incident occurred is highlighted on the display screen of the monitoring center, and the corresponding area in the digital twin model flashes a red warning light; For message push: security event notifications are sent to the mobile APP of park managers, including event type, location, and environmental parameter values.

[0026] When a security incident occurs, the real-time simulation capability of the digital twin model is used to predict the effects of different emergency response measures and obtain effect feedback data. The process is as follows: By comparing the data collected by the smart sensor with the preset security event threshold, after determining that a security event has occurred, the security event information is transmitted to the digital twin model system; the security event information includes the event type, location, and severity of the event; In the digital twin model, security events are visually marked with flashing red icons, and event information is highlighted at the corresponding location of the model. At the same time, environmental parameters related to the event are displayed so that managers can intuitively understand the basic situation of the security event. Based on the type of security event, possible emergency response measures are extracted from the emergency response plan library; and the parameters and operation instructions corresponding to the emergency response measures are loaded into the digital twin model. Set simulation parameters in the digital twin model, including simulation time range, simulation step, and model accuracy. The simulation time range is set according to the urgency and expected duration of the security incident, including the next 10-30 minutes for fire simulation; simulation step: one simulation step per minute; model accuracy: determined according to the level of detail required for simulation, such as high accuracy required in personnel evacuation simulation to accurately reflect the flow of personnel; ensure that the simulation can accurately reflect the effects of different emergency response measures after implementation; simulate each emergency response measure in the digital twin model to obtain the simulated security incident parameter change information and campus facility change information; take the activation of the fire sprinkler system in a fire incident as an example, simulate the effect of water spraying into the fire area in the model according to the layout, water spray intensity, and coverage of the sprinkler system; including evaluating the changes in the spread speed of the fire and the impact on surrounding equipment and building structures by calculating temperature and smoke concentration, including whether electrical equipment will short-circuit and building materials will be damaged due to water stains; For personnel evacuation measures, we collect data on personnel distribution in the park and the layout and capacity of evacuation passages. Based on the data on personnel distribution and the layout and capacity of evacuation passages, we simulate the movement of personnel under different evacuation plans. Based on the walking speed of personnel and the congestion of evacuation passages, we calculate the evacuation progress and success rate of personnel at different time points. We also evaluate the advantages and disadvantages of various plans by simulating different evacuation routes and guidance methods multiple times, thereby obtaining information on changes in personnel evacuation and park operations.

[0027] It should be further explained that, in the specific implementation process, when simulating the emergency response measures for equipment overheating, the equipment operating parameters can be adjusted to observe the changes in equipment temperature and pressure, and evaluate the impact on equipment performance and production processes; at the same time, the cooling effect after the backup cooling system is started is simulated, including the cooling speed and the impact on the surrounding environment temperature, to determine whether the measure can effectively alleviate the equipment overheating problem without causing other secondary disasters; After completing the simulation of each emergency response measure, collect the simulation result data output by the digital twin model; the simulation result data includes information on changes in security event parameters, park facility changes, personnel evacuation changes, and park operation changes; that is, information on changes in security event parameters, the impact on park facilities and personnel, and the degree of interference with the normal operation of the park; It should be further explained that, in the specific implementation process, the trend of the change of parameters related to the safety incident includes the temperature and smoke concentration change curve of the fire, the temperature and pressure change curve of the equipment overheating; the impact on the park facilities and personnel includes the degree of damage to the building structure, the damage to the equipment, the progress of personnel evacuation and the casualties; the degree of interference with the normal operation of the park includes the interruption time of the production process and the scope of service interruption; The collected simulation result data are collated and analyzed, the simulation results are presented in the form of graphs, and effect feedback data is generated. The effect feedback describes in detail the effect evaluation of each emergency response measure after implementation, including advantages and potential problems, so that managers can quickly understand and compare the effects of different measures.

[0028] The effect feedback data and real-time operation and maintenance data are combined to generate an emergency decision-making plan. The process is as follows: Establish effect feedback evaluation standards, evaluate simulation results from multiple dimensions, and set major evaluation indicators, including safety incident control effect, personnel safety level, park facility protection level, impact on park operations, and the possibility of secondary disasters; among them, safety incident control effect includes whether the fire is effectively controlled and whether equipment overheating is alleviated; personnel safety level includes the number of casualties and whether evacuation is timely and efficient; park facility protection level includes the degree of damage to buildings and equipment; the impact on park operations includes the time and scope of production and service interruption; the possibility of secondary disasters includes whether new safety issues are caused by emergency measures: electrical short circuit or flooding; The real-time operation and maintenance data is integrated with the optimal measures obtained by the digital twin model simulation, and the time synchronization and consistency of the data are ensured during the integration process; the actual occurrence of security incidents is compared and analyzed with the security incidents simulated by the digital twin model, the difference between the simulation and the actual situation is clarified, and the difference information is obtained. Based on the difference information, the parameters in the personnel evacuation simulation model are adjusted in combination with the real-time data of personnel distribution to make the simulation results more consistent with the actual situation, and the initial emergency decision after integration and adjustment is obtained; through data fusion, the actual status of security incidents and emergency responses can be more comprehensively understood, and the accuracy of emergency decisions can be improved; According to the evaluation criteria, each initial emergency decision is quantitatively scored to obtain a scoring result, and the decision with the highest score in the scoring result is taken as the preferred decision, and thus used as the emergency decision-making plan. It should be further explained that in the specific implementation process, for fire emergency response measures, high scores will be given if they can effectively control the fire in a short period of time, have a high success rate in evacuating personnel, have little damage to park facilities, have little impact on operations, and no secondary disasters occur; conversely, low scores will be given if the fire spreads more, casualties are serious, facilities are extensively damaged, or new problems are caused; through quantitative scoring, the advantages and disadvantages of different emergency response measures can be compared more intuitively, providing a basis for emergency decision-making.

[0029] It should be further explained that, in the specific implementation process, the effect feedback data and real-time operation and maintenance data are combined to generate emergency decision-making plans; by establishing effect feedback evaluation standards, the simulation results are evaluated from multiple dimensions such as the safety incident control effect, the degree of personnel safety protection, the level of protection of park facilities, the degree of impact on park operations and the possibility of secondary disasters, and the real-time operation and maintenance data are integrated with the simulation results, considering the differences between the actual situation and the simulation, and adjusting the model parameters to make the emergency decision more in line with the actual situation; This emergency decision-making method based on data fusion and quantitative scoring can select the optimal decision with the highest score as the emergency decision-making plan, ensuring that the emergency response measures are more scientific and effective during implementation, minimizing the losses caused by security incidents to the park, and ensuring the safety of personnel and normal operation of the park.

[0030] Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field and related fields without creative work should fall within the scope of protection of the present invention. The structures, devices and operating methods not specifically described and explained in the present invention are implemented according to the conventional means in the field unless otherwise specified and limited.

Claims

1. A campus safety operation and maintenance management method based on digital twin technology, characterized in that: The steps include: S1. Obtain park information, including park structure information, environmental information and real-time operation and maintenance data; S2. Constructing a digital twin model of the park based on the acquired park structure information; S3. Smart sensors are deployed in the park, including temperature sensors, humidity sensors, light sensors, and smoke sensors. Environmental information is collected through smart sensors, and the environmental information is linked with the digital twin model to perform intelligent monitoring and alarm of security events, and provide emergency response measures; S4. When a security incident occurs, based on the real-time simulation capability of the digital twin model, the effects of different emergency response measures are predicted to obtain effect feedback data, and the effect feedback data is combined with real-time operation and maintenance data to generate an emergency decision-making plan.

2. According to a method for park safety operation and maintenance management based on digital twin technology according to claim 1, it is characterized by: The park structure information in step S1 includes the park's three-dimensional coordinates, building layout, road traffic, equipment location and equipment attributes; the environmental information includes temperature, humidity, light, and smoke; the real-time operation and maintenance data includes security monitoring videos, equipment status data, and personnel distribution data; among them, the park's three-dimensional coordinates include the three-dimensional coordinates of each sensor in the park coordinate system when it is installed.

3. According to a method for park safety operation and maintenance management based on digital twin technology according to claim 2, it is characterized by: Step S2 includes the following steps: S21: The three-dimensional coordinate data of the park is converted by a coordinate conversion algorithm to obtain initial three-dimensional coordinate data; for the building layout information, the plane outline of the building is represented by a polygon, and the use of each layer is marked to obtain the initial building layout information; key parameters of road traffic information are extracted and roads are classified, and the locations of traffic facilities are marked to obtain initial road traffic information; the equipment location and attribute data are sorted and classified to obtain initial equipment location and attribute data; S22: Using satellite remote sensing technology and total station ground measurement to collect information related to the park's topography and obtain the park's topographic data; S23: Then, based on Unity3D as the basic framework of the digital twin model, the park is taken as the root node, and the buildings, roads, and equipment are taken as child nodes to establish the model infrastructure and obtain the digital twin platform; S24: In the digital twin platform, a topographic model of the park is created based on the initial three-dimensional coordinate data and terrain data; based on the initial building layout information, a three-dimensional model of the building in the park is constructed by AutoCAD to obtain a building model, and the building model is imported into the digital twin platform, and the building model is placed on the topographic model; S25: At the same time, for various types of equipment in the park, three-dimensional modeling is performed according to the equipment attributes and location data to obtain the equipment model; and the equipment model is integrated into the digital twin platform of the park, and integrated with the building model and terrain model to obtain the digital twin model of the park.

4. According to a method for park safety operation and maintenance management based on digital twin technology according to claim 3, it is characterized by: In step S3, the environmental information is linked with the digital twin model, and the process is as follows: The collected environmental information is integrated with the digital twin model on the monitoring center server of the park: the temperature, humidity, light and smoke data are mapped to the corresponding positions in the digital twin model through the location information of the sensor; Establish a data association model to associate the various elements in the digital twin model with environmental information: associate the structural material properties of the building with temperature and humidity data; associate the lighting facilities in the park with light sensor data; The smoke sensor data is linked to the fire extinguishers, sprinkler systems and evacuation routes in the fire protection facilities within the campus; Design a real-time data-driven mechanism to enable the digital twin model to be updated in real time according to changes in environmental information: when the sensor collects new environmental data, the model update event is immediately triggered; during the model update process, the corresponding elements in the model are visually adjusted according to the data changes; Visual adjustment process: When the temperature of area A rises, the color of area A in the digital twin model gradually changes from cold to warm according to the degree of temperature increase; changes in humidity are reflected by changing the glossiness of the object surface; changes in light intensity are directly reflected in the luminous effect and shadow changes of the lighting facilities; when the smoke concentration increases, the corresponding area in the model displays a gradually denser smoke effect, simulating the actual smoke diffusion situation.

5. According to a method for park safety operation and maintenance management based on digital twin technology according to claim 4, it is characterized in that: Step S25 includes using environmental information to implement environmental simulation functions in the digital twin model, and the process is as follows: The temperature data of the park is obtained through temperature sensors, and the temperature effect of the digital twin model is adjusted based on the temperature data to simulate the hot and cold performance in different seasons and weather conditions; The humidity data of the park is obtained through humidity sensors, and the air humidity performance in the digital twin model scene is changed based on the humidity data to show the degree of humidity influence on the surface of objects and the effect of fog influence; The lighting data of the park is obtained through light sensors, and based on the lighting data, the angle, intensity and shadow changes of sunlight are simulated in the digital twin model to express the natural transition and light and shadow effects between day and night; The smoke data of the park is obtained through smoke sensors, and the smoke diffusion in fire emergencies is simulated based on the smoke data.

6. According to a method for park safety operation and maintenance management based on digital twin technology according to claim 5, it is characterized in that: In step S3, intelligent monitoring and alarm of security events are performed, and emergency response measures are given. The process is as follows: According to the park's security requirements and historical data, security event thresholds are set for each environmental parameter. In the monitoring center server, the collected environmental information is compared with the set security event threshold in real time. When no less than two environmental parameters exceed the corresponding security event threshold, it is determined that a security event has occurred. Once a security event is detected, an audible alarm, visual alarm, and message push are immediately triggered. Among them, security incidents include fire, high-temperature equipment failure, damage to items in humid environments, lighting failure, and illegal intrusion; At the same time, the alarm information is graded according to the severity, with illegal intrusion set to level one, fire set to level two, high temperature equipment failure set to level three, damage to items in a humid environment set to level four, and lighting failure set to level five; Establish an emergency response plan library based on possible security incidents in the park; The emergency response plan library includes emergency response measures for fire, emergency response measures for high temperature equipment failure, emergency response measures for property damage, emergency response measures for lighting failure and emergency response measures for illegal intrusion; each emergency response measure describes the response measures for specific security incidents, including emergency handling procedures, personnel and equipment involved, action steps and time requirements; When a security incident occurs and triggers an alarm, the monitoring center server matches the corresponding emergency plan from the emergency response plan library as an emergency response measure based on the type and severity of the security incident.

7. The park safety operation and maintenance management method based on digital twin technology according to claim 6 is characterized by: According to the park's security requirements and historical data, security event thresholds are set for each environmental parameter. The process is as follows: For temperature, different temperature threshold ranges are set according to different functional areas. In the equipment room, the normal operating temperature range is set to 18-27°C. When the temperature exceeds 30°C or is lower than 15°C, it will affect the normal operation of the equipment and be regarded as a potential safety incident. In warehouses, set temperature thresholds based on the characteristics of the stored items, including warehouses storing flammable items, where temperatures exceeding 35°C may cause fire risks, and humidity thresholds are set between 30% and 60%; For smoke concentration, a smoke critical value is set according to the sensitivity of the smoke sensor and the fire warning requirements. When the smoke concentration exceeds the smoke critical value, it is determined that a fire incident may occur.

8. The park safety operation and maintenance management method based on digital twin technology according to claim 6 is characterized by: For sound alarms: an alarm is sounded in the monitoring center, and the alarm information is broadcast to the entire park through the park broadcasting system; For visual alarms: The area where the security incident occurred is highlighted on the display screen of the monitoring center, and the corresponding area in the digital twin model flashes a red warning light; For message push: security event notifications are sent to the mobile APP of park managers, including event type, location, and environmental parameter values.

9. The park safety operation and maintenance management method based on digital twin technology according to claim 8 is characterized by: When a security incident occurs, based on the real-time simulation capability of the digital twin model, the effects of different emergency response measures are predicted and effect feedback data is obtained. The process is as follows: By comparing the data collected by the smart sensor with the preset security event threshold, after determining that a security event has occurred, the security event information is transmitted to the digital twin model system; the security event information includes the event type, location, and severity of the event; In the digital twin model, security events are visually marked with flashing red icons, event information is highlighted at the corresponding location of the model, and environmental parameters related to the event are displayed. Based on the type of security event, possible emergency response measures are extracted from the emergency response plan library; and the parameters and operation instructions corresponding to the emergency response measures are loaded into the digital twin model; Set simulation parameters in the digital twin model, including simulation time range, simulation step size, and model accuracy. Simulate each emergency response measure in the digital twin model to obtain the simulated safety event parameter change information and park facility change information; For personnel evacuation measures, we collect personnel distribution data in the park and the layout and capacity of the evacuation channels. Based on the personnel distribution data and the layout and capacity of the evacuation channels, we simulate the movement of personnel under different evacuation plans. Based on the walking speed of personnel and the congestion of the evacuation channels, we calculate the evacuation progress and success rate of personnel at different time points. We also evaluate the pros and cons of the plans by simulating different evacuation routes and guidance methods multiple times, thereby obtaining information on changes in personnel evacuation and park operations. After completing the simulation of each emergency response measure, collect the simulation result data output by the digital twin model; the simulation result data includes information on changes in security event parameters, park facility changes, personnel evacuation changes, and park operation changes; The collected simulation result data are collated and analyzed, the simulation results are presented in the form of graphs, and effect feedback data is generated.

10. The park safety operation and maintenance management method based on digital twin technology according to claim 9 is characterized in that: The effect feedback data and real-time operation and maintenance data are combined to generate an emergency decision-making plan. The process is as follows: Establish effect feedback evaluation standards, evaluate simulation results from multiple dimensions, and set major evaluation indicators, including safety incident control effects, personnel safety assurance, park facility protection level, impact on park operations, and the possibility of secondary disasters; Integrate the real-time operation and maintenance data with the optimal measures obtained by the digital twin model simulation, compare and analyze the actual safety incidents with the safety incidents simulated by the digital twin model, clarify the differences between the simulation and the actual situation, obtain the difference information, and adjust the parameters in the personnel evacuation simulation model based on the difference information and the real-time data of personnel distribution to make the simulation results more consistent with the actual situation, and obtain the initial emergency decision after integration and adjustment; According to the evaluation criteria, each initial emergency decision is quantitatively scored to obtain a scoring result, and the decision with the highest score in the scoring result is taken as the preferred decision, thereby being used as the emergency decision plan.

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