Scenic area passenger flow monitoring system and method based on multi-source data fusion

Abstract

The invention discloses a scenic spot passenger flow monitoring system and method based on multi-source data fusion, and relates to the technical field of scenic spot management, a scenic spot is divided into a ticket buying admission area and a free passage area, ticket checking gates and sensors are deployed in the two types of areas respectively, tourist data are collected in real time, and the real-time tourist number and density of each area are calculated. The system judges the density grade of each area according to a preset grading threshold value, and dynamically adjusts a management and control strategy according to the density grade change: for a ticket buying admission area, grading management and control are implemented by controlling the start and stop of an entrance gate and combining a queuing people number threshold value; and aiming at the free passing area, guiding tourists to orderly flow from the high-density area to the low-density area by generating an evacuation guiding instruction. According to the system, refined and dynamic management of the passenger flow in the scenic area is realized, and the comfort of tourists and the operation safety of the scenic area are improved.

Description

A scenic area visitor flow monitoring system and method based on multi-source data fusion Technical Field

[0001] This invention relates to the field of scenic area management technology, specifically to a scenic area visitor flow monitoring system and method based on multi-source data fusion. Background Technology

[0002] With the booming development of the tourism industry and the continuous growth in the number of tourists, scenic spots are facing increasingly prominent pressure in visitor flow management. How to ensure visitor safety and a positive experience while achieving efficient utilization and dynamic control of scenic resources has become a key issue in scenic spot operation and management. Excessive visitor density not only easily leads to safety hazards but may also reduce visitor satisfaction and affect the sustainable development of the scenic spot. Therefore, accurate monitoring and scientific scheduling of visitor flow in various areas within the scenic spot are of significant practical importance.

[0003] Currently, common methods for monitoring visitor flow in scenic areas mainly include manual patrols, video surveillance analysis, ticketing system statistics, and local sensing technology based on mobile signals. While these methods can obtain visitor flow information to some extent, they often have limited coverage and lack a systematic approach that can effectively integrate multi-source data and provide intelligent early warning and dynamic control based on visitor density. This is especially true in large scenic areas where different areas have varying functional attributes, access methods, and management requirements, making it difficult to achieve comprehensive, accurate, and adaptive visitor flow management through a single method. Therefore, there is an urgent need to research more integrated and intelligent visitor flow monitoring and control mechanisms to improve the precision of scenic area operation and management and enhance emergency response capabilities. Summary of the Invention

[0004] The purpose of this invention is to provide a scenic area visitor flow monitoring system and method based on multi-source data fusion to solve the problems raised in the prior art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a scenic area visitor flow monitoring method based on multi-source data fusion, the scenic area visitor flow monitoring method comprising the following steps: Step S100: Dividing the scenic area into A ticketed entry areas and B free access areas. Through area division and hardware deployment, structural support is provided for subsequent data collection and control. Ticket gates and sensors are respectively set up in the ticketed entry areas and free access areas; In step S100, the scenic area space is planned into A ticketed entry areas and B free access areas, specifically: the ticketed entry area is a closed area with clear boundaries, and tourists can only enter after ticket verification. The ticketed entry area is equipped with ticket gates with counting functions. The system is divided into entrance and exit gates. The ticket gates use infrared, QR code, or facial recognition for ticket verification and counting, ensuring high data accuracy and suitability for precise control scenarios. The free passage area is an open area without physical ticket checkpoints, allowing tourists to pass freely. Based on function and passage location, it is divided into B free passage areas by professionals, with B sensors deployed in sequence to detect the number of tourists in real time. These sensors are Wi-Fi signal probes that collect the number of mobile phone signals within the area. Regardless of whether they are connected to the scenic area's Wi-Fi, the Wi-Fi signal probes can estimate the number of people by detecting the Wi-Fi signals of tourists' mobile phones. This allows for flexible deployment, requires no tourist cooperation, and is suitable for monitoring visitor flow in open areas.

[0006] Step S200: Real-time visitor data for each area is acquired through turnstiles and sensors, and the real-time visitor number and density for the ticketed entry area and the free passage area are calculated separately to provide a data basis for visitor flow status assessment; Step S200 includes the following steps: Step S201: For the i-th ticketed entry area, the cumulative number of people entering through all its entrance turnstiles since the park's opening time is collected in real time. The cumulative number of people leaving all exit gates since the start of the statistics period. The current real-time number of tourists in the i-th ticket-purchase access area The calculation formula is: ;In the formula, This represents the total number of entrance gates for the current i-th ticket-purchasing and access area. This represents the number of people counted at the p-th entrance gate of the i-th ticket purchase and access area. This represents the total number of exit gates in the current i-th ticket-purchase access area. This represents the number of people counted at the q-th exit gate of the i-th ticketed entry area; for the i-th ticketed entry area, the real-time visitor density. The calculation formula is: ;In the formula, The baseline capacity for the i-th ticketed entry zone is set by professionals; Step S202: For the j-th free access zone, the number of Wi-Fi signals monitored by the sensors is received in real time to obtain the real-time number of tourists in the j-th free access zone. For the j-th free passage zone, calculate the real-time tourist density based on the real-time tourist count. : ;In the formula, The baseline capacity for the j-th free passage zone is set by professionals.

[0007] By using a unified computing framework, gate data and probe data are transformed into comparable density indicators, laying the foundation for integrated passenger flow assessment across the entire scenic area.

[0008] Step S300: Determine the density level based on the tiered threshold. According to the real-time visitor density of each area, determine the density status as Level 1, Level 2, or Level 3 to achieve quantitative judgment of visitor flow status; Step S300 includes the following steps: Step S301: Set the first density tiered threshold for the ticket purchase and access area. With the second density grading threshold The For ticket-restricted areas: when When, it is determined to be a first-order density, when When, it is determined to be a secondary density, when When the density is determined to be level three, step S302: set the first density classification threshold for the free passage area. With the second density grading threshold The For free passage zones: when When, it is determined to be a first-order density, when When, it is determined to be a secondary density, when When the density is determined, it is classified into three levels: Level 1 represents comfort (low load), Level 2 represents warning (medium load), and Level 3 represents congestion (high load or overload), providing trigger conditions for subsequent differentiated management.

[0009] Step S400: Based on the real-time changes in visitor density levels in each area, dynamically adjust the control level to improve the flexibility and safety of scenic area management.

[0010] Step S400 includes the following steps: Step S401: Set the control level Lc for the ticket purchase access area, when W < W thAt that time, Lc takes Level 1 control, specifically: it determines the density level of the ticket purchase access area in real time. When the ticket purchase access area is at Level 2 density, it controls all entrance gates of the ticket purchase access area to suspend ticket checking, and the exit gates to open. When the ticket purchase access area returns to Level 1 density, the entrance gates reopen. W is the number of people queuing at the entrance of the ticket purchase access area. th The threshold for queue congestion, set by professionals, is a preventative and gentle adjustment strategy. It aims to intervene early when visitor flow begins to show an increasing trend, preventing the area from entering a state of high congestion. The core objective is to optimize the visitor experience. Introducing queue numbers as a supplementary judgment condition makes the control more closely reflect the actual situation on-site, avoiding frequent opening and closing of turnstiles due to only temporary fluctuations in density. When W ≥ W... th When Lc is set to Level 2 control, specifically: the density level of the ticket purchase access area is determined in real time. When the ticket purchase access area is at Level 3 density, all entrance gates in the current ticket purchase access area are suspended from ticket checking, and the exit gates are opened. When the ticket purchase access area returns to Level 2 density, the entrance gates are reopened. Level 2 control is an emergency control strategy that is activated when there is queuing congestion. It quickly alleviates safety pressure through strict flow restriction. Its recovery conditions are more relaxed than Level 1 control, ensuring that the passage capacity is restored as soon as possible under the premise of safety. Step S402: Set the control level Lf of the free passage area. When the free passage area is at Level 2 density and the adjacent free passage area is at Level 1 density, Lf is set to Level 1 control. Specifically: the density level of the free passage area is determined in real time. When the free passage area is at Level 2 density, an evacuation guidance instruction is generated to guide tourists in the current free passage area to the adjacent free passage area with a density of Level 1. Once the density of the free-roaming area drops to Level 1, the evacuation guidance command is stopped. Tourists are guided from more crowded areas to less crowded areas to achieve a dynamic and balanced distribution of visitor flow within the scenic area. When the current free-roaming area is at Level 2 density and adjacent free-roaming areas are also at Level 2 density, Level 2 control is implemented. Specifically, the density level of the free-roaming area is determined in real time. When the free-roaming area reaches Level 3 density, an evacuation guidance command is generated to guide tourists in the current free-roaming area to the adjacent free-roaming area with a density of Level 2. When the density of the current free-roaming area drops to Level 2 density, the evacuation guidance command is stopped. Level 2 control is suitable for scenarios with high overall visitor flow. Its guidance strategy aims to avoid extreme congestion points by tiered evacuation: guiding from Level 3 density areas to Level 2 density areas; controlling visitor flow pressure within an acceptable range, and improving the resilience and safety of the overall system. At this time, the guidance goal is not to completely eliminate congestion, but to prevent congestion from worsening.

[0011] A scenic area visitor flow monitoring system based on multi-source data fusion includes a scenic area zoning and equipment deployment module, a visitor flow data acquisition and calculation module, a visitor flow density classification and judgment module, and a dynamic control level adjustment module. The scenic area zoning and equipment deployment module divides the entire scenic area into two types of areas: a ticketed entry area with clearly defined boundaries requiring ticket verification, and a free passage area without physical ticket checks. The ticketed entry area is equipped with entrance and exit gates with counting functions for counting personnel entering and exiting. The free passage area, based on its functional layout and channel structure, is divided into B sub-areas by professionals. Each sub-area deploys Wi-Fi signal probes as sensors to indirectly monitor visitor flow. The execution of this module lays the physical and logical foundation for subsequent real-time data acquisition, visitor flow calculation, and dynamic control. The visitor flow data acquisition and calculation module collects raw data in real time. For the ticketed entry area, the system obtains the cumulative counts of each entrance and exit gate in real time to calculate the real-time visitor density; for the free passage area, the system... This module receives real-time signal counts from Wi-Fi probes in various areas and calculates real-time density. It achieves precise quantification of visitor flow in different types of areas within the scenic area, providing direct data input for subsequent status assessment and control decisions. The visitor flow data acquisition and calculation module includes a visitor flow calculation unit for the ticketed entry area and a visitor flow calculation unit for the free passage area. The ticketed entry area visitor flow calculation unit continuously collects the cumulative number of people entering through all entrance gates and the cumulative number of people leaving through all exit gates within the area to determine the current number of visitors. This number is then compared with the set baseline carrying capacity of the area to calculate the real-time visitor density, reflecting the current spatial carrying capacity pressure of the ticketed entry area. The free passage area visitor flow calculation unit scans and counts the number of mobile device signals within the area using Wi-Fi signal probes deployed within the area. This count is used as an estimate of the equivalent number of visitors to calculate the visitor number. This number is then compared with the set baseline carrying capacity of the area to calculate the real-time visitor density, reflecting the current spatial carrying capacity pressure of the free passage area.

[0012] The passenger flow density classification module presets two density classification thresholds for the ticketed entry area and the free passage area respectively: a first threshold and a second threshold, dividing the real-time passenger density of each area into three levels: Level 1 density, Level 2 density, and Level 3 density. The passenger flow density classification module includes a ticketed entry area classification unit and a free passage area classification unit. The ticketed entry area classification unit sets two density thresholds for the ticketed entry area, judges the real-time density value calculated by the passenger flow calculation unit of the ticketed entry area, and labels the ticketed entry area as Level 1, Level 2, or Level 3 based on the threshold range into which the density value falls. The density status indicates the current carrying capacity and congestion risk level of each ticket purchase and access area, providing a judgment standard for subsequent decisions on whether to take targeted control measures such as flow restriction or suspension of ticket checking; the free passage zone classification unit sets two density thresholds for the free passage zone, judges the real-time density value calculated by the free passage zone passenger flow calculation unit, and marks the free passage zone as a level 1, 2, or 3 density status according to the threshold range in which the density value falls, indicating the current carrying capacity and congestion risk level of the free passage zone, providing a judgment standard for subsequent decisions on whether to take targeted control measures such as flow restriction or diversion.

[0013] The dynamic control level adjustment module dynamically triggers corresponding control strategies based on real-time density level changes, and adopts flow restriction and diversion measures at different thresholds to regulate the number of people in the area, ensure comfort and prevent excessive congestion, and encourage tourists to move from high-density areas to adjacent low-density areas, thereby achieving dynamic balance and safety optimization of visitor flow within the scenic area.

[0014] The dynamic control level adjustment module includes a ticketed entry area control unit and a free passage area control unit. The ticketed entry area control unit implements two levels of dynamic control based on the density level provided by the ticketed entry area grading unit and the real-time queue size at the scenic area entrance. When the queue size is small, the system suspends ticket checking when the area reaches level two density. When the queue size exceeds the congestion threshold, the system raises the intervention threshold, implementing flow control measures only when the area reaches level three density. This flexible strategy aims to balance visitor experience and management efficiency, avoiding overcrowding within the area while minimizing visitor waiting time. The free passage area control unit implements dynamic flow management based on the real-time density level provided by the free passage area grading unit. When the target free passage area is at level two density and an adjacent free passage area at level one is detected... When the density is high, the system initiates Level 1 control, specifically by guiding tourists from the target free-roaming area to adjacent low-density free-roaming areas through information screens and dedicated personnel. Once the target free-roaming area returns to Level 1 density, the system ceases Level 1 control. When the target free-roaming area reaches Level 2 density, and all adjacent free-roaming areas are at Level 2 or higher density, the system implements Level 2 control. Specifically, when the target free-roaming area density rises to Level 3, tourists are guided to adjacent Level 2 density free-roaming areas. Once the target free-roaming area density drops to Level 2, the system ceases Level 2 control. This differentiated and interconnected guidance logic based on the surrounding environment aims to rebalance tourist flow within the scenic area, prevent safety hazards caused by excessive crowding in localized areas, and optimize tourist routes and overall experience.

[0015] Compared with existing technologies, the beneficial effects of this invention are: 1. It enables refined and real-time monitoring of visitor flow in scenic areas. By dividing the scenic area into a ticketed entry area and a free access area, and deploying multi-source sensors such as ticket gates and Wi-Fi probes in each area, the number and density of visitors in each area can be obtained in real time and accurately, providing data support for scenic area management and improving the comprehensiveness and timeliness of monitoring.

[0016] 2. Enhance the visitor experience and safety management. Dynamically adjust management strategies based on real-time visitor density, such as suspending ticket checks at turnstiles during peak hours and guiding visitors to lower-density areas. This effectively alleviates congestion, shortens queuing times, enhances visitor comfort, and prevents safety hazards caused by overcrowding.

[0017] 3. Enhance the intelligence and adaptability of scenic area management. By setting tiered thresholds and control levels, the system can automatically determine the status of visitor flow and implement corresponding control measures, realizing the transformation from passive response to proactive regulation, improving the operational efficiency and management flexibility of the scenic area, and adapting to changes in visitor flow in different time periods and areas. Attached Figure Description

[0018] Figure 1 is a schematic diagram of the steps of applying the present invention to a scenic area visitor flow monitoring system based on multi-source data fusion; Figure 2 is a schematic diagram of the structure of applying the present invention to a scenic area visitor flow monitoring method based on multi-source data fusion. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] Example: As shown in Figures 1-2, this invention provides a technical solution. Considering an existing large-scale comprehensive scenic area containing multiple themed zones, a scenic area visitor flow monitoring method based on multi-source data fusion is used. The scenic area visitor flow monitoring method includes the following steps: Step S100: Divide the scenic area into A ticketed entry zones and B free access zones. Through zone division and hardware deployment, structural support is provided for subsequent data collection and management. Ticket gates and sensors are respectively installed in the ticketed entry zones and free access zones. In step S100, the scenic area space is planned as A ticketed entry zones and B free access zones. Specifically, the ticketed entry zone is a closed area with clearly defined boundaries, where visitors can only enter after ticket verification. The ticketed entry zone is equipped with… The ticket gates, which include entrance and exit gates, use infrared, QR code, or facial recognition for ticket verification and counting. The data accuracy is high, making them suitable for precise control scenarios. The free passage area is an open area without physical ticket checkpoints, allowing free passage for tourists. Based on function and passage location, it is divided into B free passage areas by professionals, with B sensors deployed sequentially to detect the number of tourists in real time. These sensors are Wi-Fi signal probes that collect the number of mobile phone signals within the area. Regardless of whether the tourist area's Wi-Fi is connected, the Wi-Fi signal probes can estimate the number of people by detecting the Wi-Fi signals of tourists' mobile phones. This allows for flexible deployment, requires no tourist cooperation, and is suitable for monitoring visitor flow in open areas.

[0021] Example 1: The scenic area management divides the park into different types of areas: Ticketed Entry Area (A=4): including "Theme Park Area", "Water Park Area", "Science and Technology Experience Hall", and "Cultural Exhibition Hall". Each area has a clear entrance and exit, and visitors need to enter with a ticket. Each entrance and exit is equipped with a ticket gate with counting function; Free Access Area (B=6): including "Central Square", "Lakeside Promenade", "Food Street", "Rest Corridor", "Viewing Platform", and "Children's Play Area". These areas have no physical ticket checkpoints, and visitors can enter and exit freely. Each area is equipped with a Wi-Fi signal probe to detect the number of active mobile phones in the area, thereby estimating the real-time number of visitors.

[0022] Step S200: Real-time visitor data for each area is acquired through turnstiles and sensors, and the real-time visitor number and density for the ticketed entry area and the free passage area are calculated separately to provide a data basis for visitor flow status assessment; Step S200 includes the following steps: Step S201: For the i-th ticketed entry area, the cumulative number of people entering through all its entrance turnstiles since the park's opening time is collected in real time. The cumulative number of people leaving all exit gates since the start of the statistics period. The current real-time number of tourists in the i-th ticket-purchase access area The calculation formula is: ;In the formula, This represents the total number of entrance gates for the current i-th ticket-purchasing and access area. This represents the number of people counted at the p-th entrance gate of the i-th ticket purchase and access area. This represents the total number of exit gates in the current i-th ticket-purchase access area. This represents the number of people counted at the q-th exit gate of the i-th ticketed entry area; for the i-th ticketed entry area, the real-time visitor density. The calculation formula is: ;In the formula, The baseline capacity for the i-th ticketed entry zone is set by professionals; Step S202: For the j-th free access zone, the number of Wi-Fi signals monitored by the sensors is received in real time to obtain the real-time number of tourists in the j-th free access zone. For the j-th free passage zone, calculate the real-time tourist density based on the real-time tourist count. : ;In the formula, The baseline capacity for the j-th free passage zone is set by professionals.

[0023] By using a unified computing framework, gate data and probe data are transformed into comparable density indicators, laying the foundation for integrated passenger flow assessment across the entire scenic area.

[0024] Example 2: Taking the "Theme Park Area" (ticketed entry area 1) as an example: There are 3 entrance turnstiles (P1=3) and 2 exit turnstiles (Q1=2). The base capacity is set at 5000 people. The 3 entrance turnstiles are set to count a total of 12000 people, and the 2 exit turnstiles are set to count a total of 8000 people. Therefore... =4000 people, real-time tourist density =0.8; Taking "Central Plaza" (Free Access Area 1) as an example: with a baseline capacity of 3000 people and 1800 devices detected by Wi-Fi probes, the real-time visitor density is calculated. =0.6.

[0025] Step S300: Determine the density level based on the tiered threshold. According to the real-time visitor density of each area, determine the density status as Level 1, Level 2, or Level 3 to achieve quantitative judgment of visitor flow status; Step S300 includes the following steps: Step S301: Set the first density tiered threshold for the ticket purchase and access area. With the second density grading threshold The For ticket-restricted areas: when When, it is determined to be a first-order density, when When, it is determined to be a secondary density, when When the density is determined to be level three, step S302: set the first density classification threshold for the free passage area. With the second density grading threshold The For free passage zones: when When, it is determined to be a first-order density, when When, it is determined to be a secondary density, when When the density is determined, it is classified into three levels: Level 1 represents comfort (low load), Level 2 represents warning (medium load), and Level 3 represents congestion (high load or overload), providing trigger conditions for subsequent differentiated management.

[0026] Example 3: Setting thresholds for ticket purchase access tiers =0.6、 =0.9, therefore It belongs to the second-level density; set the threshold for free passage classification. =0.5、 =0.8, therefore It belongs to the secondary density category.

[0027] Step S400: Based on the real-time changes in visitor density levels in each area, dynamically adjust the control level to improve the flexibility and safety of scenic area management.

[0028] Step S400 includes the following steps: Step S401: Set the control level Lc for the ticket purchase access area, when W < W th At that time, Lc takes Level 1 control, specifically: it determines the density level of the ticket purchase access area in real time. When the ticket purchase access area is at Level 2 density, it controls all entrance gates of the ticket purchase access area to suspend ticket checking, and the exit gates to open. When the ticket purchase access area returns to Level 1 density, the entrance gates reopen. W is the number of people queuing at the entrance of the ticket purchase access area. th The threshold for queue congestion, set by professionals, is a preventative and gentle adjustment strategy. It aims to intervene early when visitor flow begins to show an increasing trend, preventing the area from entering a state of high congestion. The core objective is to optimize the visitor experience. Introducing queue numbers as a supplementary judgment condition makes the control more closely reflect the actual situation on-site, avoiding frequent opening and closing of turnstiles due to only temporary fluctuations in density. When W ≥ W... th When Lc is set to Level 2 control, specifically: the density level of the ticket purchase access area is determined in real time. When the ticket purchase access area is at Level 3 density, all entrance gates in the current ticket purchase access area are suspended from ticket checking, and the exit gates are opened. When the ticket purchase access area returns to Level 2 density, the entrance gates are reopened. Level 2 control is an emergency control strategy that is activated when there is queuing congestion. It quickly alleviates safety pressure through strict flow restriction. Its recovery conditions are more relaxed than Level 1 control, ensuring that the passage capacity is restored as soon as possible under the premise of safety. Step S402: Set the control level Lf of the free passage area. When the free passage area is at Level 2 density and the adjacent free passage area is at Level 1 density, Lf is set to Level 1 control. Specifically: the density level of the free passage area is determined in real time. When the free passage area is at Level 2 density, an evacuation guidance instruction is generated to guide tourists in the current free passage area to the adjacent free passage area with a density of Level 1. Once the density of the free-roaming area drops to Level 1, the evacuation guidance command is stopped. Tourists are guided from more crowded areas to less crowded areas to achieve a dynamic and balanced distribution of visitor flow within the scenic area. When the current free-roaming area is at Level 2 density and adjacent free-roaming areas are also at Level 2 density, Level 2 control is implemented. Specifically, the density level of the free-roaming area is determined in real time. When the free-roaming area reaches Level 3 density, an evacuation guidance command is generated to guide tourists in the current free-roaming area to the adjacent free-roaming area with a density of Level 2. When the density of the current free-roaming area drops to Level 2 density, the evacuation guidance command is stopped. Level 2 control is suitable for scenarios with high overall visitor flow. Its guidance strategy aims to avoid extreme congestion points by tiered evacuation: guiding from Level 3 density areas to Level 2 density areas; controlling visitor flow pressure within an acceptable range, and improving the resilience and safety of the overall system. At this time, the guidance goal is not to completely eliminate congestion, but to prevent congestion from worsening.

[0029] Example 4: Setting a threshold W for the number of people queuing in a theme park areath =200 people, current queue size set to 220 people, system implements level 2 control: temporarily normal ticket checking, wait... When the temperature reaches ≥0.9, entrance ticket checking will be suspended, and the theme park area will only allow exits, not entry. After the threshold of <0.9 is reached, ticket checking will be reopened; the real-time visitor density of the "Lakeside Trail" adjacent to the "Central Plaza" will be calculated. =0.3, which is at level 1 density. The system will implement level 1 control, diverting tourists from the "Central Plaza" to the "Lakeside Trail" until the tourist density in the "Central Plaza" is reduced to the required level. <0.5.

[0030] A scenic area visitor flow monitoring system based on multi-source data fusion includes a scenic area zoning and equipment deployment module, a visitor flow data acquisition and calculation module, a visitor flow density classification and judgment module, and a dynamic control level adjustment module. The scenic area zoning and equipment deployment module divides the entire scenic area into two types of areas: a ticketed entry area with clearly defined boundaries requiring ticket verification, and a free passage area without physical ticket checks. The ticketed entry area is equipped with entrance and exit gates with counting functions for counting personnel entering and exiting. The free passage area, based on its functional layout and channel structure, is divided into B sub-areas by professionals. Each sub-area deploys Wi-Fi signal probes as sensors to indirectly monitor visitor flow. The execution of this module lays the physical and logical foundation for subsequent real-time data acquisition, visitor flow calculation, and dynamic control. The visitor flow data acquisition and calculation module collects raw data in real time. For the ticketed entry area, the system obtains the cumulative counts of each entrance and exit gate in real time to calculate the real-time visitor density; for the free passage area, the system... This module receives real-time signal counts from Wi-Fi probes in various areas and calculates real-time density. It achieves precise quantification of visitor flow in different types of areas within the scenic area, providing direct data input for subsequent status assessment and control decisions. The visitor flow data acquisition and calculation module includes a visitor flow calculation unit for the ticketed entry area and a visitor flow calculation unit for the free passage area. The ticketed entry area visitor flow calculation unit continuously collects the cumulative number of people entering through all entrance gates and the cumulative number of people leaving through all exit gates within the area to determine the current number of visitors. This number is then compared with the set baseline carrying capacity of the area to calculate the real-time visitor density, reflecting the current spatial carrying capacity pressure of the ticketed entry area. The free passage area visitor flow calculation unit scans and counts the number of mobile device signals within the area using Wi-Fi signal probes deployed within the area. This count is used as an estimate of the equivalent number of visitors to calculate the visitor number. This number is then compared with the set baseline carrying capacity of the area to calculate the real-time visitor density, reflecting the current spatial carrying capacity pressure of the free passage area.

[0031] The passenger flow density classification module presets two density classification thresholds for the ticketed entry area and the free passage area respectively: a first threshold and a second threshold, dividing the real-time passenger density of each area into three levels: Level 1 density, Level 2 density, and Level 3 density. The passenger flow density classification module includes a ticketed entry area classification unit and a free passage area classification unit. The ticketed entry area classification unit sets two density thresholds for the ticketed entry area, judges the real-time density value calculated by the passenger flow calculation unit of the ticketed entry area, and labels the ticketed entry area as Level 1, Level 2, or Level 3 based on the threshold range into which the density value falls. The density status indicates the current carrying capacity and congestion risk level of each ticket purchase and access area, providing a judgment standard for subsequent decisions on whether to take targeted control measures such as flow restriction or suspension of ticket checking; the free passage zone classification unit sets two density thresholds for the free passage zone, judges the real-time density value calculated by the free passage zone passenger flow calculation unit, and marks the free passage zone as a level 1, 2, or 3 density status according to the threshold range in which the density value falls, indicating the current carrying capacity and congestion risk level of the free passage zone, providing a judgment standard for subsequent decisions on whether to take targeted control measures such as flow restriction or diversion.

[0032] The dynamic control level adjustment module dynamically triggers corresponding control strategies based on real-time density level changes, and adopts flow restriction and diversion measures at different thresholds to regulate the number of people in the area, ensure comfort and prevent excessive congestion, and encourage tourists to move from high-density areas to adjacent low-density areas, thereby achieving dynamic balance and safety optimization of visitor flow within the scenic area.

[0033] The dynamic control level adjustment module includes a ticketed entry area control unit and a free passage area control unit. The ticketed entry area control unit implements two levels of dynamic control based on the density level provided by the ticketed entry area grading unit and the real-time queue size at the scenic area entrance. When the queue size is small, the system suspends ticket checking when the area reaches level two density. When the queue size exceeds the congestion threshold, the system raises the intervention threshold, implementing flow control measures only when the area reaches level three density. This flexible strategy aims to balance visitor experience and management efficiency, avoiding overcrowding within the area while minimizing visitor waiting time. The free passage area control unit implements dynamic flow management based on the real-time density level provided by the free passage area grading unit. When the target free passage area is at level two density and an adjacent free passage area at level one is detected... When the density is high, the system initiates Level 1 control, specifically by guiding tourists from the target free-roaming area to adjacent low-density free-roaming areas through information screens and dedicated personnel. Once the target free-roaming area returns to Level 1 density, the system ceases Level 1 control. When the target free-roaming area reaches Level 2 density, and all adjacent free-roaming areas are at Level 2 or higher density, the system implements Level 2 control. Specifically, when the target free-roaming area density rises to Level 3, tourists are guided to adjacent Level 2 density free-roaming areas. Once the target free-roaming area density drops to Level 2, the system ceases Level 2 control. This differentiated and interconnected guidance logic based on the surrounding environment aims to rebalance tourist flow within the scenic area, prevent safety hazards caused by excessive crowding in localized areas, and optimize tourist routes and overall experience.

[0034] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A method for monitoring visitor flow in scenic areas based on multi-source data fusion, characterized in that: The scenic area visitor flow monitoring method includes the following steps: Step S100: Divide the scenic area into A ticketed entry areas and B free access areas, and set up ticket gates and sensors in the ticketed entry areas and free access areas respectively; Step S200: Obtain visitor data in each area in real time through the gates and sensors, and calculate the real-time visitor number and density in the ticketed entry areas and free access areas respectively; Step S300: Determine the density level based on the graded threshold, and determine the density status as Level 1, Level 2, or Level 3 according to the real-time visitor density of each area; Step S400: Dynamically adjust the control level according to the changes in the real-time visitor density level of each area.

2. The method for monitoring visitor flow in scenic areas based on multi-source data fusion according to claim 1, characterized in that, In step S100, the scenic area space is planned into A ticketed entry areas and B free passage areas. Specifically, the ticketed entry areas are closed areas with clear boundaries, where tourists can only enter after their tickets are verified. The ticketed entry areas are equipped with ticket gates with counting functions, which are divided into entrance gates and exit gates. The free passage areas are open areas without physical ticket checks, where tourists can freely pass through. Based on function and passage location, the free passage areas are divided into B free passage areas by professionals, and B sensors that detect the number of tourists in real time are deployed in sequence. The sensors are Wi-Fi signal probes, which collect the number of mobile phone signals in the area.

3. The method for monitoring visitor flow in scenic areas based on multi-source data fusion according to claim 1, characterized in that, Step S200 includes the following steps: Step S201: For the i-th ticket purchase and access area, collect the cumulative number of people entering all its entrance gates from the time the park opens in real time. The cumulative number of people leaving all exit gates since the start of the statistics period. The current real-time number of tourists in the i-th ticket-purchase access area The calculation formula is: ; in the official, This represents the total number of entrance gates for the current i-th ticket-purchasing and access area. This represents the number of people counted at the p-th entrance gate of the i-th ticket purchase and access area. This represents the total number of exit gates in the current i-th ticket-purchase access area. This represents the number of people counted at the q-th exit gate of the i-th ticketed entry area; for the i-th ticketed entry area, the real-time visitor density. The calculation formula is: ; in the official, The baseline capacity for the i-th ticketed entry zone is set by professionals; Step S202: For the j-th free access zone, the number of Wi-Fi signals monitored by the sensors is received in real time to obtain the real-time number of tourists in the j-th free access zone. For the j-th free passage zone, calculate the real-time tourist density based on the real-time tourist count. ： ; in the official, The baseline capacity for the j-th free passage zone is set by professionals.

4. The method for monitoring visitor flow in scenic areas based on multi-source data fusion according to claim 1, characterized in that, Step S300 includes the following steps: Step S301: Set the first density classification threshold for the ticket purchase access area. With the second density grading threshold The For ticket-restricted areas: when When, it is determined to be a first-order density, when When, it is determined to be a secondary density, when When the density is determined to be level three; Step S302: Set the first density classification threshold for the free passage area. With the second density grading threshold The For free passage zones: when When, it is determined to be a first-order density, when When, it is determined to be a secondary density, when At that time, it was determined to be a level three density.

5. The method for monitoring visitor flow in scenic areas based on multi-source data fusion according to claim 1, characterized in that, Step S400 includes the following steps: Step S401: Set the control level Lc for the ticket purchase access area, when W < W th At that time, Lc takes Level 1 control, specifically: it determines the density level of the ticket purchase access area in real time. When the ticket purchase access area is at Level 2 density, it controls all entrance gates of the ticket purchase access area to suspend ticket checking, and the exit gates to open. When the ticket purchase access area returns to Level 1 density, the entrance gates reopen. W is the number of people queuing at the entrance of the ticket purchase access area. th The threshold for the number of people queuing for overcrowding is set by professionals; when W ≥ W th When Lc is set to Level 2 control, specifically: the density level of the ticket purchase access area is determined in real time; when the ticket purchase access area is at Level 3 density, all entrance gates in the current ticket purchase access area are suspended from ticket checking, and the exit gates are opened; when the ticket purchase access area returns to Level 2 density, the entrance gates are reopened; Step S402: Set the control level Lf of the free passage area; when the free passage area is at Level 2 density and the adjacent free passage area is at Level 1 density, Lf is set to Level 1 control, specifically: the density level of the free passage area is determined in real time; when the free passage area is at Level 2 density, evacuation guidance is generated. The system directs visitors in the current free-roaming area to an adjacent free-roaming area with a density of Level 1. Once the density of the current free-roaming area drops to Level 1, the evacuation guidance command is stopped. When the current free-roaming area has a density of Level 2 and the adjacent free-roaming areas also have a density of Level 2, the Lf (Level 2 control) is implemented. Specifically, the density level of the free-roaming area is determined in real time. When the free-roaming area has a density of Level 3, an evacuation guidance command is generated to direct visitors in the current free-roaming area to an adjacent free-roaming area with a density of Level 2. Once the density of the current free-roaming area drops to Level 2, the evacuation guidance command is stopped.

6. A scenic area visitor flow monitoring system based on multi-source data fusion, characterized in that, The scenic area visitor flow monitoring system includes a scenic area zoning and equipment deployment module, a visitor flow data acquisition and calculation module, a visitor flow density classification and judgment module, and a dynamic control level adjustment module. The scenic area zoning and equipment deployment module divides the entire scenic area into two types of areas: a ticketed entry area with clearly defined boundaries requiring ticket verification, and a free passage area without physical ticket checks. The ticketed entry area is equipped with entrance and exit ticket gates with counting functions. The free passage area, based on its functional layout and channel structure, is divided into B sub-areas by professionals. Each sub-area deploys Wi-Fi signal probes as sensors to indirectly monitor visitor flow. The visitor flow data acquisition and calculation module... The system collects raw data in real time. For the ticketed entry area, it obtains the cumulative counts of each entrance and exit gate in real time to calculate the real-time visitor density. For the free passage area, it receives the number of signals detected by Wi-Fi probes in each area in real time to calculate the real-time density. The visitor density classification and determination module presets two levels of density classification thresholds for the ticketed entry area and the free passage area respectively: a first threshold and a second threshold, dividing the real-time visitor density of each area into three levels: level one density, level two density, and level three density. The dynamic control level adjustment module dynamically triggers corresponding control strategies based on changes in the real-time density level, and takes flow restriction and diversion measures under different thresholds.

7. A scenic area visitor flow monitoring system based on multi-source data fusion according to claim 6, characterized in that, The passenger flow data collection and calculation module includes a passenger flow calculation unit for the ticket purchase and access area and a passenger flow calculation unit for the free passage area. The passenger flow calculation unit for the ticket purchase and access area continuously collects the cumulative number of people entering through all entrance gates and the cumulative number of people leaving through all exit gates in the area to obtain the current number of tourists in the area. It then compares the number of tourists with the baseline carrying capacity set for the area to calculate the real-time tourist density. The passenger flow calculation unit for the free passage area uses Wi-Fi signal probes deployed in the area to scan and count the number of mobile device signals in the area. This count is used as an estimate of the equivalent number of tourists to obtain the tourist number. The unit then compares the number of tourists with the baseline carrying capacity set for the area to calculate the real-time tourist density.

8. A scenic area visitor flow monitoring system based on multi-source data fusion according to claim 6, characterized in that, The passenger flow density classification module includes a ticket purchase access zone classification unit and a free passage zone classification unit. The ticket purchase access zone classification unit sets two density thresholds for the ticket purchase access zone, judges the real-time density value calculated by the passenger flow calculation unit of the ticket purchase access zone, and marks the ticket purchase access zone as a level 1, level 2, or level 3 density state according to the threshold range in which the density value falls. The free passage zone classification unit sets two density thresholds for the free passage zone, judges the real-time density value calculated by the passenger flow calculation unit of the free passage zone, and marks the free passage zone as a level 1, level 2, or level 3 density state according to the threshold range in which the density value falls.

9. A scenic area visitor flow monitoring system based on multi-source data fusion according to claim 6, characterized in that, The dynamic control level adjustment module includes a ticket purchase and access area control unit and a free passage area control unit. The ticket purchase and access area control unit implements two levels of dynamic control based on the density level provided by the ticket purchase and access area grading unit and the real-time queue size at the scenic area entrance. When the queue size is small, the system suspends ticket checking when the area reaches level two density. When the queue size exceeds the congestion threshold, the system raises the intervention threshold, implementing flow control measures only when the area reaches level three density. The free passage area control unit implements dynamic flow management based on the real-time density level provided by the free passage area grading unit. When the target free passage area is at level two... When the density of the target free passage area reaches Level 1, and an adjacent free passage area is detected to be at Level 1 density, the system initiates Level 1 control. Specifically, this involves guiding tourists from the target free passage area to an adjacent low-density free passage area. Once the target free passage area returns to Level 1 density, the system ceases Level 1 control. When the target free passage area reaches Level 2 density, and all adjacent free passage areas are at Level 2 or higher density, the system implements Level 2 control. Specifically, when the density of the target free passage area rises to Level 3, tourists are guided to an adjacent Level 2 density free passage area. Once the density of the target free passage area drops to Level 2, the system ceases Level 2 control.

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