Intelligent cemetery interactive security management monitoring system

Abstract

The invention discloses an interactive security management monitoring system for a smart cemetery, and relates to the technical field of smart cemetery. The system comprises a multi-source data fusion system and a dynamic risk assessment system, the multi-source data fusion system comprises an Internet of Things sensing layer composed of a parking management module, an intelligent monitoring module and a fire early warning module, and the parking management module is integrated with a license plate recognition device and a parking space reservation unit. Through a multi-source data fusion system, cross-protocol data integration and real-time interaction of parking management, intelligent monitoring and a fire early warning module are realized, a data transmission channel between heterogeneous equipment is opened based on a LoRaWAN communication protocol, vehicle space-time information, human body behavior characteristics and environmental parameters are fused into a unified data stream, and the data stream is integrated into a whole. The traffic flow scheduling efficiency and the fire prejudgment accuracy in the peak period of tomb sweeping are remarkably improved, and the problems of emergency resource mismatching and response delay caused by module isolation of a traditional system are thoroughly solved.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent cemeteries, and particularly relates to an interactive security management and monitoring system for intelligent cemeteries. Background Technique

[0002] An intelligent cemetery refers to a new type of cemetery form that uses modern technological means, such as information technology, Internet of Things technology, big data technology, etc., to transform and upgrade traditional cemeteries, realizing digital, networked, and intelligent management of cemetery resources, and having multiple advantages such as data management, intelligent services, and sustainable development. The intelligent cemetery integrates ecological environmental protection, technological applications, and user-friendly designs, providing convenient services such as online memorial ceremonies and intelligent navigation. At the same time, it optimizes the growth of cemetery vegetation and water resource utilization, achieving green management. The construction of the intelligent cemetery focuses on improving the technical platform, information security management, management system construction, and user experience improvement, and is the perfect integration of modern technology and traditional mourning culture.

[0003] There are two core problems in the traditional cemetery security system: the isolation of multi-source data leads to the failure of security collaboration, and the static risk assessment model cannot adapt to dynamic scenarios. In the existing system, due to the use of independent communication protocols for modules such as parking management, intelligent monitoring, and fire warning, the data formats are incompatible and not interacted through a unified transport layer (such as LoRaWAN), resulting in the inability to fuse key information such as traffic flow density, open fire use points, and environmental parameters in real time, and unable to support multi-dimensional correlation analysis by the central processor. At the same time, traditional risk assessment algorithms rely on fixed thresholds and do not introduce spatio-temporal dynamic parameters (such as vehicle stay duration, festival weight, real-time wind direction data), resulting in lagging heat map generation and lack of dynamic adaptability in the linkage control of sprinkler devices and emergency lighting systems, and unable to accurately respond to sudden risks in scenarios such as crowd gathering and open fire use during tomb-sweeping.

[0004] Therefore, we provide an interactive security management and monitoring system for intelligent cemeteries to solve the above problems. Summary of the Invention

[0005] The purpose of the present invention is to provide an interactive security management and monitoring system for intelligent cemeteries, which solves the problems in the prior art that the isolation of multi-source data leads to the failure of security collaboration and the static risk assessment model cannot adapt to dynamic scenarios through the cooperation of a multi-source data fusion system and a dynamic risk assessment system.

[0006] To solve the above technical problems, the present invention is realized through the following technical solutions.

[0007] The present invention relates to an interactive security management and monitoring system for a smart cemetery, which includes a multi-source data fusion system and a dynamic risk assessment system. The multi-source data fusion system includes an Internet of Things perception layer composed of a parking management module, an intelligent monitoring module, and a fire warning module. Among them: The parking management module integrates a license plate recognition device and a parking space reservation unit, which is used to collect vehicle spatio-temporal data. The intelligent monitoring module deploys an AI camera and a thermal imager, and identifies the open fire use points through a behavior capture algorithm. The fire warning module includes a multi-spectral flame detector and a meteorological sensor, which are used to collect environmental parameters. Each module is connected to a central processor through the LoRaWAN communication protocol. The dynamic risk assessment system includes a central processor, and the central processor is built-in with: a three-dimensional modeling unit, which constructs a tomb distribution model based on GIS data and marks the single-cave and double-cave burial type attributes; a risk assessment algorithm, which fuses vehicle stay duration, pedestrian flow density, fire frequency, and wind direction data to generate a dynamic heat map; a linkage control interface, which triggers a sprinkler device, an intelligent emergency lighting system, and a broadcast system. The system pushes risk warnings and evacuation routes to users through a mobile terminal interaction module.

[0008] The present invention is further configured such that the license plate recognition device of the parking management module uses the YOLOv5 algorithm to extract vehicle features, and the parking space reservation unit is linked with the GPS positioning data of the user's mobile terminal to generate an optimal parking path.

[0009] The present invention is further configured such that the AI camera of the intelligent monitoring module deploys a human pose recognition model based on the OpenPose algorithm to capture safe open fire use points, and the thermal imager divides four-level warning areas, and the density thresholds are set as: red > 3 people / m², yellow > 2 people / m².

[0010] The present invention is further configured such that the multi-spectral flame detector of the fire warning module uses infrared + ultraviolet dual-band detection, and the meteorological sensor real-time collects wind speed data. When the wind speed > 5m / s, the upwind electronic fence is activated.

[0011] The present invention is further configured such that the risk assessment algorithm calculates the risk value based on the Bayesian network: P(fire) = α × traffic flow density + β × open fire use point frequency + γ × (temperature - 25°C) The heat map rendering rule: high risk area > 0.8 shows red, medium risk area 0.5 - 0.8 shows orange.

[0012] The present invention is further configured such that the algorithm introduces a time decay factor, and the weight is increased by 30% during holidays, and the risk coefficient is automatically multiplied by 1.5 during the period from 14:00 to 16:00 every day.

[0013] The present invention is further configured such that the spray device includes a rotating nozzle controlled by a solenoid valve, with a coverage angle of 120°, the buried depth of the water supply network is >0.5m, and the electric heating antifreeze mode is activated in winter.

[0014] The present invention is further configured such that the intelligent emergency lighting system includes: infrared sensing lamps that automatically adjust the lighting intensity according to the density of human traffic; the emergency path indicator lights that are linked to the dynamic heat map; and high-risk areas that are switched to a strobing red light mode.

[0015] The present invention is further configured such that the mobile terminal interaction module realizes: the open fire use safety guidance function recommends the coordinates of the open fire use point according to the real-time wind direction; the emergency navigation function adopts the A* algorithm to plan the shortest escape route, giving priority to avoiding high-risk areas.

[0016] The present invention is further configured such that the three-dimensional modeling unit includes: a tomb attribute database, which records single and double tombs, upright and lying tombstone types, a terrain elevation layer and a vegetation fire prevention layer, wherein the terrain elevation layer marks areas with a slope > 15° as high-risk areas, and the vegetation fire prevention layer identifies the distribution of flammable vegetation and incorporates it into the risk assessment algorithm.

[0017] The present invention has the following beneficial effects.

[0018] 1. The present invention realizes cross-protocol data integration and real-time interaction of parking management, intelligent monitoring and fire warning modules through a multi-source data fusion system, opens up data transmission channels between heterogeneous devices based on the LoRaWAN communication protocol, integrates vehicle spatiotemporal information, human behavior characteristics and environmental parameters into a unified data stream, significantly improves traffic dispatch efficiency and fire prediction accuracy during peak tomb-sweeping periods, and completely solves the problems of emergency resource mismatch and response delay caused by module isolation in traditional systems.

[0019] 2. The present invention uses a dynamic risk assessment system to construct a Bayesian network decision model that integrates spatiotemporal dynamic factors, and real-time associates multi-dimensional parameters such as vehicle density, frequency of open flame use points, and meteorological changes to generate a dynamically updated hierarchical heat map. It synchronously drives the sprinkler, emergency lighting, and broadcasting systems to form a gradient response mechanism, effectively overcoming the blind spots and linkage failure defects of the traditional static threshold model in risk assessment in scenarios with sudden crowd gatherings and intensive tomb-sweeping activities. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solution of the embodiment of the present invention, the drawings required for describing the embodiment are briefly introduced below.

[0021] Figure 1 It is a flow chart of an interactive security management and monitoring system for a smart cemetery; Figure 2It is a flow chart of a multi-source data fusion system in an intelligent cemetery interactive security management and monitoring system; Figure 3 It is a flow chart of a dynamic risk assessment system in an intelligent cemetery interactive security management and monitoring system; Figure 4 It is a flow chart of a mobile terminal interaction module in an intelligent cemetery interactive security management and monitoring system. Specific implementation manners

[0022] Next, the technical solutions in the embodiments of the present invention will be described with reference to the accompanying drawings in the embodiments of the present invention. The described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments.

[0023] Embodiment 1 Please refer to Figures 1-4, the present invention is an intelligent cemetery interactive security management and monitoring system, including a multi-source data fusion system and a dynamic risk assessment system. The multi-source data fusion system includes an Internet of Things perception layer composed of a parking management module, an intelligent monitoring module, and a fire warning module. Among them: The parking management module integrates a license plate recognition device and a parking space reservation unit, which is used to collect vehicle spatio-temporal data. The intelligent monitoring module deploys an AI camera and a thermal imager, and identifies open fire use points through a behavior capture algorithm. The fire warning module includes a multi-spectral flame detector and a meteorological sensor, which are used to collect environmental parameters. Each module is connected to a central processor through the LoRaWAN communication protocol. The dynamic risk assessment system includes a central processor, and the central processor is built-in: a three-dimensional modeling unit, which constructs a tomb distribution model based on GIS data and marks the attributes of single and double tomb burial types; a risk assessment algorithm, which generates a dynamic heat map by fusing vehicle stay duration, pedestrian flow density, fire frequency, and wind direction data; a linkage control interface, which triggers a sprinkler device, an intelligent emergency lighting system, and a broadcast system. The system pushes risk warnings and evacuation routes to users through a mobile terminal interaction module. The license plate recognition device of the parking management module uses the YOLOv5 algorithm to extract vehicle features. The parking space reservation unit is linked with the GPS positioning data of the user's mobile terminal to generate the optimal parking path. The AI camera of the intelligent monitoring module deploys a human pose recognition model based on the OpenPose algorithm to capture safe open fire use points. The thermal imager divides four levels of warning areas, and the density thresholds are set as: red > 3 people / m², yellow > 2 people / m². The multi-spectral flame detector of the fire warning module uses infrared + ultraviolet dual-band detection. The meteorological sensor collects wind speed data in real time. When the wind speed > 5m / s, the upwind electronic fence is activated. The risk assessment algorithm calculates the risk value based on the Bayesian network: P(fire) = α × traffic flow density + β × open fire use point frequency + γ × (temperature - 25°C). The heat map rendering rule: high risk area > 0.8 shows red, medium risk area 0.5 - 0.8 shows orange. The algorithm introduces a time decay factor, and the weight is increased by 30% during holidays. The risk coefficient is automatically multiplied by 1.5 during the period from 14:00 to 16:00 every day. The sprinkler device includes a rotating sprinkler controlled by a solenoid valve, with a coverage angle of 120°. The depth of the water supply pipe network buried is > 0.5m, and the electric tracing anti-freezing mode is started in winter. The intelligent emergency lighting system includes: infrared induction lamps, which automatically adjust the lighting intensity according to the pedestrian flow density, and emergency path indicator lights, which are linked with the dynamic heat map. The high risk area is switched to a stroboscopic red light mode. The mobile terminal interaction module realizes: a safe open fire use guidance function, which recommends the coordinates of open fire use points according to the real-time wind direction, and an emergency navigation function, which uses the A* algorithm to plan the shortest escape path and preferentially avoids high risk areas. The three-dimensional modeling unit includes: a tomb attribute database, which records single and double tombs, upright and lying tombstone types, terrain elevation layers, and vegetation fire prevention layers. The terrain elevation layer marks areas with a slope > 15° as high risk zones. The vegetation fire prevention layer identifies the distribution of flammable vegetation and incorporates it into the risk assessment algorithm.

[0024] Specifically: Through the multi-source data fusion system, cross-protocol data integration and real-time interaction of parking management, intelligent monitoring and fire warning modules are realized. Based on the LoRaWAN communication protocol, the data transmission channel between heterogeneous devices is opened up, and the vehicle's spatiotemporal information, human behavior characteristics and environmental parameters are integrated into a unified data stream, which significantly improves the traffic dispatch efficiency and fire prediction accuracy during the peak period of tomb sweeping, and completely solves the problems of emergency resource mismatch and response delay caused by module isolation in traditional systems. Through the dynamic risk assessment system, a Bayesian network decision model integrating spatiotemporal dynamic factors is constructed, and multi-dimensional parameters such as traffic density, frequency of open fire use points, and meteorological changes are associated in real time to generate a dynamically updated hierarchical heat map, and synchronously drive the sprinkler, emergency lighting and broadcasting systems to form a gradient response mechanism, effectively overcoming the risk assessment blind spots and linkage failure defects of the traditional static threshold model in scenarios with sudden crowd gathering and intensive tomb sweeping activities.

[0025] Embodiment 2 See also Figure 1 , Figure 2 and Figure 4 Based on the first embodiment, the peak management environment of tomb sweeping during Qingming Festival is as follows: During the Tomb Sweeping Day, concentrated tomb-sweeping activities led to a surge in the flow of people and vehicles. The system activated the festival mode, and the dynamic expansion mechanism was used in the parking lot at the north gate of the cemetery. The backup parking area was allocated in advance according to the GPS data of the reserved vehicles. The thermal imager implemented three-level density monitoring of the main tomb-sweeping area. When the density of people in the tomb passage area exceeded 2 people / m², the AI camera automatically tracked the points where open flames were used, and the broadcasting system was linked to play fire prevention reminders. The risk assessment algorithm superimposed the wind direction data of the day, and pushed route navigation to avoid high-risk points where open flames were used on the mobile terminal.

[0026] Embodiment 3 See also Figures 1-4 , based on the first embodiment, low temperature fire prevention environment in winter: During the winter solstice, the temperature dropped to -5℃. The system activated the antifreeze protection mode and started the electric heating system for the water supply pipes of the sprinkler device to prevent the pipes from freezing and clogging. When the meteorological sensor detected a northwest wind of level 4, the electronic fence locked the flammable pine and cypress forest area on the southeast side of the cemetery. Open flames were prohibited. The thermal imager implemented double sampling frequency in the tomb-sweeping area. When abnormal temperature rise was detected in a certain area for three consecutive times, a patrol robot was automatically dispatched for on-site verification. The mobile terminal sent the location of the "designated heating area" and a safe heating guide to the user.

[0027] Embodiment 4 See also Figures 1-4 , based on the first embodiment, the nighttime emergency handling environment: During the nighttime tomb-sweeping period, there was a sudden heavy rainfall. The system switched to emergency lighting mode, and the infrared sensing lamps automatically increased the tomb passage lighting to 200 lux. The heavy rain caused poor drainage in a certain area, resulting in water accumulation. The 3D modeling unit identified abnormal water flow in the area with a slope of 12°. The dynamic thermal map superimposed the hydrological data and re-marked the risk area. The emergency indicator light switched to blue strobe to guide evacuation, and the sprinkler device temporarily switched to drainage mode. The discharge of accumulated water was accelerated by rotating the nozzles, and the rescue route was pushed to the security personnel's handheld terminal.

[0028] Embodiment 5 See also Figure 2 and Figure 3 , based on the first embodiment, the fire prevention and control environment in windy weather: During the Spring Equinox, there was a force 8 gust of wind. The wind speed sensor triggered the extreme weather protocol, closed the open-air fire area in the cemetery, and directed all open-fire activities to designated indoor places equipped with fireproof covers. The multi-spectral flame detector activated double detection sensitivity, and scanned key control areas every 5 seconds. When the temperature in a certain area suddenly rose by 10°C and was accompanied by an abnormality in the ultraviolet band, the automatic sprinkler system immediately started targeted fire extinguishing. The electronic fence blocked a radius of 50 meters. The mobile APP simultaneously updated the safe exit map and planned an evacuation route that avoided the windward side.

[0029] The working principle of the present invention is as follows: the interactive security management and monitoring system of the smart cemetery consists of three links: data collection, risk assessment, and emergency response. Each link forms a closed-loop management through real-time information flow. The front-end sensing equipment continuously collects on-site information, and the license plate recognition camera records the time and location of vehicle entry and exit. The thermal imager monitors the degree of personnel gathering in each area, the flame detector scans abnormal temperature changes, and the weather station captures wind speed and humidity changes. All data are aggregated to the central processing platform through the wireless network. The data processing center cross-compares information from different sources, combines the geographical features such as tomb distribution, terrain slope, vegetation type, etc. in the three-dimensional map, calculates the risk level of each area, marks different color areas on the electronic map, and automatically associates high-risk areas with surrounding areas. Emergency equipment and the emergency system initiate corresponding plans according to the risk level. When the risk value in a certain area exceeds the standard, the sprinkler automatically adjusts the angle for fixed-point spraying, the lighting equipment switches to warning mode, the broadcasting system plays evacuation prompts, and pushes safe route instructions to nearby tourists' mobile phones. The system has time perception capabilities, automatically increases the monitoring frequency during the peak tomb-sweeping period, adjusts the early warning threshold according to different times of the day, automatically increases the lighting brightness at night, and activates pipeline anti-freeze protection in winter to ensure that the equipment can operate reliably around the clock. The management platform maintains information exchange with the user's mobile phone, and provides functions such as reservation parking, safe open flame use point recommendation, and emergency navigation. Tourist behavior data is synchronously fed back to the system to form a two-way information interaction, helping managers to grasp the on-site situation in a timely manner.

[0030] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific embodiments described. These embodiments are selected and specifically described in this specification in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can well understand and utilize the present invention.

Claims

1. An intelligent cemetery interactive security management and monitoring system, characterized in that: It includes a multi-source data fusion system and a dynamic risk assessment system; The multi-source data fusion system includes an Internet of Things perception layer composed of a parking management module, an intelligent monitoring module, and a fire warning module. Among them: The parking management module integrates a license plate recognition device and a parking space reservation unit, which is used to collect vehicle spatio-temporal data. The intelligent monitoring module deploys an AI camera and a thermal imager, and identifies open fire usage points through a behavior capture algorithm. The fire warning module includes a multi-spectral flame detector and a meteorological sensor, which are used to collect environmental parameters. Each module is connected to a central processor through the LoRaWAN communication protocol; The dynamic risk assessment system includes a central processor, and the central processor is built-in with: a three-dimensional modeling unit, which constructs a tomb distribution model based on GIS data and marks the attributes of single-cave and double-cave burial styles; a risk assessment algorithm, which fuses vehicle stay duration, pedestrian flow density, fire frequency, and wind direction data to generate a dynamic heat map; a linkage control interface, which triggers a sprinkler device, an intelligent emergency lighting system, and a broadcast system. The system pushes risk warnings and evacuation routes to users through a mobile interaction module.

2. The intelligent cemetery interactive security management monitoring system according to claim 1, characterized in that: The license plate recognition device of the parking management module uses the YOLOv5 algorithm to extract vehicle features, and the parking space reservation unit is linked with the GPS positioning data of the user's mobile terminal to generate the optimal parking path.

3. The interactive security management and monitoring system for a smart cemetery according to claim 1, wherein: The AI camera of the intelligent monitoring module deploys a human pose recognition model based on the OpenPose algorithm to capture safe open fire usage points. The thermal imager divides the four-level warning area, and the density threshold is set as: red > 3 people / m², yellow > 2 people / m².

4. The interactive security management and monitoring system for a smart cemetery according to claim 1, wherein: The multi-spectral flame detector of the fire warning module uses infrared + ultraviolet dual-band detection, and the meteorological sensor collects wind speed data in real time. When the wind speed > 5m / s, the upwind electronic fence is activated.

5. The intelligent cemetery interactive security management and monitoring system according to claim 1, characterized in that: The risk assessment algorithm calculates the risk value based on the Bayesian network: P(Fire) = α × traffic flow density + β × open fire usage point frequency + γ × (temperature - 25°C) The heat map rendering rule: high-risk area > 0.8 shows red, and medium-risk area 0.5 - 0.8 shows orange.

6. The intelligent cemetery interactive security management and monitoring system according to claim 1, characterized in that: The algorithm introduces a time decay factor, and the weight is increased by 30% during holidays. The risk coefficient is automatically multiplied by 1.5 during the period from 14:00 to 16:00 every day.

7. An interactive security management and monitoring system for a smart cemetery according to claim 1, characterized in that: The sprinkler device includes a rotary sprinkler controlled by a solenoid valve, with a coverage angle of 120°. The buried depth of the water supply pipe network > 0.5m, and the electric tracing anti-freezing mode is started in winter.

8. The interactive security management and monitoring system for a smart cemetery according to claim 1, characterized in that: The intelligent emergency lighting system includes: infrared induction lamps, which automatically adjust the lighting intensity according to the pedestrian flow density. The emergency path indicator lights are linked with the dynamic heat map, and the high-risk area is switched to the stroboscopic red light mode.

9. The interactive security management and monitoring system for a smart cemetery according to claim 1, characterized in that: The mobile interaction module realizes: the safe open fire usage guidance function, which recommends the coordinates of open fire usage points according to the real-time wind direction. The emergency navigation function uses the A* algorithm to plan the shortest escape path and preferentially avoids high-risk areas.

10. The intelligent cemetery interactive security management and monitoring system according to claim 1, characterized in that: The three-dimensional modeling unit includes: a tomb property database that records single and double tombs, types of standing and lying tombstones, a terrain elevation layer, and a vegetation fire prevention layer. The terrain elevation layer marks areas with a slope > 15° as high-risk zones, and the vegetation fire prevention layer identifies the distribution of flammable vegetation and incorporates it into the risk assessment algorithm.

Images