Smart message travel operation and maintenance management system

Abstract

The invention discloses a smart message travel operation and maintenance management system, and relates to the technical field of scenic region operation management, and the system comprises a data collection module which is used for collecting scenic region operation data in real time; the data processing module is used for cleaning, storing and analyzing the collected multi-source data and supporting real-time data processing and historical data analysis; the operation management module is used for displaying the operation state, resource distribution and tourist behavior information of the scenic spot, and supporting scenic spot workers to make real-time decisions and resource scheduling; and the tourist service module provides safe and reasonable touring suggestions for the tourists based on the analysis result. According to the system, by integrating the functions of multi-source data acquisition, intelligent analysis and prediction, real-time monitoring, decision support and the like, the operation efficiency and tourist experience of the scenic spot are remarkably improved, and meanwhile, the system also has strong safety management and emergency response capabilities and can effectively reduce the occurrence probability of safety accidents.

Description

Technical Field

[0001] The present invention relates to the technical field of scenic spot operation management, and in particular to a smart cultural tourism operation and maintenance management system. Background Art

[0002] With the rapid development of tourism, the operation management and tourist services of scenic spots are facing more and more complex challenges. The traditional management methods of scenic spots often rely on manual operation and experience judgment, which makes it difficult to achieve real-time monitoring and scientific decision-making of the operation status of scenic spots. At the same time, tourists' demand for scenic spot services is also increasing, hoping to obtain a more personalized, intelligent and safe service experience. At present, although there are some scenic spot management systems on the market, there are generally the following problems: there is a lack of effective data interoperability and integration between the ticketing system, security system, passenger flow statistics system and other supporting facilities of the scenic spot, resulting in low data utilization; most of the existing systems can only provide historical data analysis, which is difficult to meet the needs of scenic spots for real-time operation status monitoring and rapid decision-making; traditional management systems lack the ability to intelligently predict passenger flow, ticketing and safety risks, and it is difficult to respond to possible operational problems in advance; existing tourist service systems are mostly limited to simple guide functions and cannot provide personalized tour suggestions and real-time safety tips.

[0003] In response to the above problems, there is an urgent need for an intelligent and integrated smart cultural tourism operation and maintenance management system that can realize real-time collection, cleaning, storage and analysis of multi-source data in scenic spots, and provide scientific operational decision-making support for scenic spot staff based on the analysis results, while providing tourists with safe and reasonable tour suggestions. Summary of the invention

[0004] In order to solve the above technical problems, a smart cultural tourism operation and maintenance management system is provided. This technical solution solves the above problems.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] A smart cultural tourism operation and maintenance management system, comprising:

[0007] Data collection module: used to connect to the scenic spot's ticketing system, security system, passenger flow statistics system and other systems to collect scenic spot operation data in real time;

[0008] Data processing module: The data processing module is electrically connected to the data acquisition module. The data processing module is used to clean, store and analyze the collected multi-source data, and supports real-time data processing and historical data analysis;

[0009] Operation management module: The operation management module is electrically connected to the data processing module. The operation management module is used to display the operation status, resource distribution and tourist behavior information of the scenic spot, and supports the scenic spot staff to make real-time decisions and resource scheduling;

[0010] Tourist service module: Based on the analysis results, it provides tourists with safe and reasonable tour suggestions, including attraction recommendations, route planning and real-time notifications.

[0011] Preferably, the data acquisition module specifically includes:

[0012] Ticketing data collection unit: connects to the scenic spot's ticketing system based on the API interface to obtain ticket sales data and visitor entry information in real time;

[0013] Security data acquisition unit: access to the video surveillance, access control and emergency alarm equipment of the security system to obtain the security status data of the scenic area in real time;

[0014] Passenger flow data collection unit: collects passenger flow data of scenic spots based on sensors and cameras, including tourist density and flow trend information;

[0015] Other data collection units: support data interface connection with other scenic area supporting facilities, including catering, transportation and accommodation.

[0016] Preferably, the data processing module specifically includes:

[0017] Data cleaning unit: denoise the collected raw data and complete the data based on the data completion formula;

[0018] Data storage unit: uses a distributed database to store massive data and supports efficient data retrieval and query;

[0019] Data analysis unit: Based on the operating status of the scenic spot, use the time series prediction model to predict the passenger flow, and generate operational decision support information based on the predicted data.

[0020] Preferably, the data completion processing based on the data completion formula specifically includes:

[0021] The completion formula is:

[0022]

[0023] In the formula, x j represents the value of the jth data point after completion, x j-1 represents the value of the j-1th data point, x j+1 Represents the value of the j+1th data point, and j represents the index of the data point.

[0024] Preferably, the method of predicting passenger flow based on the operation status of the scenic spot using a time series prediction model and generating operation decision support information based on the prediction data specifically includes:

[0025] Among them, the time series prediction model formula is:

[0026]

[0027] In the formula, y t is the tourist flow at time t, p is the autoregressive order, q is the moving average order, e t is the white noise term, c is the constant term;

[0028] The dataset is divided into 70% training set, 15% validation set and 15% test set, and the selected model is trained using the training set;

[0029] Use the trained model to predict future passenger flow, output the prediction results, compare the prediction results with historical data, draw a time series graph, and use heat maps and bar graphs to show the spatial distribution of the prediction results;

[0030] According to the prediction results, the resource allocation formula is used to dynamically adjust the scenic area resources;

[0031] When large passenger flow and abnormal situations are predicted, the emergency plan will be activated in advance. If the predicted passenger flow exceeds 90% of the scenic area capacity, the emergency plan will be triggered.

[0032] Preferably, the method of dynamically adjusting scenic spot resources by using a resource allocation formula according to the prediction results specifically includes:

[0033] The resource allocation formula is:

[0034] R i = k·F i

[0035] In the formula, R i represents the resource allocation of the i-th scenic spot, F i represents the predicted passenger flow of the i-th scenic spot, and k is the resource allocation ratio coefficient.

[0036] Preferably, the operation management module specifically includes:

[0037] Data visualization unit: displays the operation status of the scenic spot through charts and heat maps;

[0038] Resource dispatching unit: scenic spot staff conduct real-time monitoring and management of ticketing, security and passenger flow systems;

[0039] Permission management unit: different operation permissions are assigned according to different roles.

[0040] Preferably, the scenic spot staff conducts real-time monitoring and management of ticketing, security and passenger flow systems, specifically including:

[0041] Obtain information on ticket sales quantity, sales channels and sales periods in real time, record visitor entry time and method, and monitor ticket refund quantity and reasons;

[0042] View the images of each surveillance camera in the scenic area in real time, focus on the entrances and exits and popular scenic spots, obtain the switch status of the access control system and card swiping record information, and receive signals from emergency alarm buttons and other alarm devices;

[0043] Obtain tourist flow data, tourist movement trajectories and stay time behavior characteristics, and obtain queue lengths and waiting time information for popular attractions and projects;

[0044] Based on video surveillance data and historical cases, the safety risk level in the scenic area is assessed, and image recognition technology is used to automatically identify abnormal events in the surveillance footage;

[0045] When ticket sales approach the set threshold, an alarm is triggered. When the remaining ticket inventory is lower than the safety inventory, staff are reminded to replenish it.

[0046] When an abnormal event is found in the monitoring screen, an alarm will be immediately issued and security personnel will be notified;

[0047] When the number of tourists in an area exceeds the safe capacity, a congestion alarm is triggered and flow control measures are recommended. When the waiting time at popular attractions exceeds the set threshold, an alarm is issued and it is recommended to increase service staff and open alternate channels.

[0048] Based on the results of the security risk assessment, increase the frequency of security personnel patrols in high-risk areas.

[0049] Preferably, the ticketing, security, and passenger flow systems are regularly maintained and upgraded to ensure the stable operation of the systems, regular training is provided for scenic area staff, and emergency drills are regularly organized.

[0050] Preferably, the tourist service module specifically includes:

[0051] Tour suggestion generation unit: Generates personalized tour route recommendations based on real-time passenger flow data and tourists’ interest preferences;

[0052] Real-time navigation unit: provides real-time navigation services in the scenic area, allowing tourists to quickly find their target attractions;

[0053] Safety Tips Unit: Provides safety tips and emergency risk avoidance suggestions to tourists based on weather and crowd flow factors;

[0054] Emergency Response Unit: In the event of emergencies, including fire and earthquake, the emergency plan is quickly activated and emergency notifications are pushed through the operation management interface and the visitor terminal.

[0055] Compared with the prior art, the present invention has the following beneficial effects:

[0056] The present invention proposes to significantly improve the operational efficiency of scenic spots and tourist experience by integrating functions such as multi-source data collection, intelligent analysis and prediction, real-time monitoring and decision support. At the same time, the system also has powerful safety management and emergency response capabilities, which can effectively reduce the probability of safety accidents. As an intelligent and integrated solution, the present invention provides important technical support and practical reference for the development of the smart cultural and tourism industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 It is a system framework diagram of the present invention. DETAILED DESCRIPTION

[0058] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0059] Reference Figure 1 As shown, a smart cultural tourism operation and maintenance management system includes:

[0060] Data collection module: used to connect to the scenic spot's ticketing system, security system, passenger flow statistics system and other systems to collect scenic spot operation data in real time;

[0061] Data processing module: The data processing module is electrically connected to the data acquisition module. The data processing module is used to clean, store and analyze the collected multi-source data, and supports real-time data processing and historical data analysis;

[0062] Operation management module: The operation management module is electrically connected to the data processing module. The operation management module is used to display the operation status, resource distribution and tourist behavior information of the scenic spot, and supports the scenic spot staff to make real-time decisions and resource scheduling;

[0063] Tourist service module: Based on the analysis results, it provides tourists with safe and reasonable tour suggestions, including attraction recommendations, route planning and real-time notifications.

[0064] The data acquisition module specifically includes:

[0065] Ticketing data collection unit: connects to the scenic spot's ticketing system based on the API interface to obtain ticket sales data and visitor entry information in real time;

[0066] Security data acquisition unit: access to the video surveillance, access control and emergency alarm equipment of the security system to obtain the security status data of the scenic area in real time;

[0067] Passenger flow data collection unit: collects passenger flow data of scenic spots based on sensors and cameras, including tourist density and flow trend information;

[0068] Other data collection units: support data interface connection with other scenic area supporting facilities, including catering, transportation and accommodation;

[0069] The system uses API interfaces, sensors, cameras and other means to realize real-time collection of ticketing, security, passenger flow and other supporting facilities data, covering all aspects of scenic spot operations.

[0070] The data processing module specifically includes:

[0071] Data cleaning unit: denoise the collected raw data and complete the data based on the data completion formula;

[0072] Data storage unit: uses a distributed database to store massive data and supports efficient data retrieval and query;

[0073] Data analysis unit: Based on the operating status of the scenic spot, use the time series prediction model to predict the passenger flow, and generate operational decision support information based on the predicted data.

[0074] The data completion processing based on the data completion formula specifically includes:

[0075] The completion formula is:

[0076]

[0077] In the formula, x j represents the value of the jth data point after completion, x j-1 represents the value of the j-1th data point, x j+1 Represents the value of the j+1th data point, and j represents the index of the data point.

[0078] The method of using a time series prediction model to predict passenger flow based on the operation status of the scenic spot and generating operation decision support information based on the prediction data specifically includes:

[0079] Among them, the time series prediction model formula is:

[0080]

[0081] In the formula, y t is the tourist flow at time t, p is the autoregressive order, q is the moving average order, et is the white noise term, c is the constant term;

[0082] The dataset is divided into 70% training set, 15% validation set and 15% test set, and the selected model is trained using the training set;

[0083] Use the trained model to predict future passenger flow, output the prediction results, compare the prediction results with historical data, draw a time series graph, and use heat maps and bar graphs to show the spatial distribution of the prediction results;

[0084] According to the prediction results, the resource allocation formula is used to dynamically adjust the scenic area resources;

[0085] When large passenger flow and abnormal situations are predicted, the emergency plan will be activated in advance. If the predicted passenger flow exceeds 90% of the scenic area's capacity, the emergency plan will be triggered;

[0086] Through the time series prediction model, the system can accurately predict future passenger flow trends, and dynamically adjust scenic area resources in combination with the resource allocation formula to avoid resource waste and congestion. The operation management module displays the scenic area operation status in real time through the data visualization unit, and triggers alarms when key indicators such as ticket sales and tourist flow reach the threshold, assisting managers to make quick decisions. The system can initiate emergency plans in advance when large passenger flows or abnormal situations are predicted, and optimize the patrol frequency of security personnel and key area monitoring through safety risk assessment results.

[0087] The method of dynamically adjusting scenic spot resources using a resource allocation formula according to the prediction results specifically includes:

[0088] The resource allocation formula is:

[0089] R i = k·F i

[0090] In the formula, R i represents the resource allocation of the i-th scenic spot, F i represents the predicted passenger flow of the i-th scenic spot, k is the resource allocation ratio coefficient;

[0091] Based on real-time passenger flow data and tourists' interest preferences, the system can generate personalized tour route recommendations to help tourists avoid crowded areas and plan their itineraries reasonably.

[0092] The operation management module specifically includes:

[0093] Data visualization unit: displays the operation status of the scenic spot through charts and heat maps;

[0094] Resource dispatching unit: scenic spot staff conduct real-time monitoring and management of ticketing, security and passenger flow systems;

[0095] Permission management unit: different operation permissions are assigned according to different roles.

[0096] The scenic spot staff conducts real-time monitoring and management of ticketing, security and passenger flow systems, including:

[0097] Obtain information on ticket sales quantity, sales channels, sales periods, and sales time in real time, record visitor entry time and entry method, and monitor the number and reasons of ticket refunds;

[0098] View the images of each surveillance camera in the scenic area in real time, focus on the entrances and exits and popular scenic spots, obtain the switch status of the access control system and card swiping record information, and receive signals from emergency alarm buttons and other alarm devices;

[0099] Obtain tourist flow data, tourist movement trajectories and stay time behavior characteristics, and obtain queue lengths and waiting time information for popular attractions and projects;

[0100] Based on video surveillance data and historical cases, the safety risk level in the scenic area is assessed, and image recognition technology is used to automatically identify abnormal events in the surveillance footage;

[0101] When ticket sales approach the set threshold, an alarm is triggered. When the remaining ticket inventory is lower than the safety inventory, staff are reminded to replenish it.

[0102] When an abnormal event is found in the monitoring screen, an alarm will be immediately issued and security personnel will be notified;

[0103] When the number of tourists in an area exceeds the safe capacity, a congestion alarm is triggered and flow control measures are recommended. When the waiting time at popular attractions exceeds the set threshold, an alarm is issued and it is recommended to increase service staff and open alternate channels.

[0104] Increase the frequency of security patrols in high-risk areas based on security risk assessment results;

[0105] Through the real-time navigation unit and safety reminder unit, the system provides tourists with accurate location guidance and emergency risk avoidance suggestions, enhancing their sense of security and satisfaction. When emergencies such as fire and earthquake occur, the system can quickly activate emergency plans and push emergency notifications through the operation management interface and the tourist end to ensure the safety of tourists' lives and property.

[0106] Regularly maintain and upgrade the ticketing, security, and passenger flow systems to ensure the stable operation of the systems, conduct regular training for scenic area staff, and organize emergency drills regularly.

[0107] The visitor service module specifically includes:

[0108] Tour suggestion generation unit: Generates personalized tour route recommendations based on real-time passenger flow data and tourists’ interest preferences;

[0109] Real-time navigation unit: provides real-time navigation services in the scenic area, allowing tourists to quickly find their target attractions;

[0110] Safety Tips Unit: Provides safety tips and emergency risk avoidance suggestions to tourists based on weather and crowd flow factors;

[0111] Emergency Response Unit: In the event of emergencies, including fire and earthquake, the emergency plan is quickly activated and emergency notifications are pushed through the operation management interface and the visitor terminal.

[0112] In summary, the advantages of the present invention are:

[0113] The system uses API interfaces, sensors, cameras and other methods to collect data on ticketing, security, passenger flow and other supporting facilities in real time, covering all aspects of scenic spot operations.

[0114] Use data cleaning units and completion formulas to effectively remove noise data and fill in missing values ​​to ensure data integrity and accuracy;

[0115] Based on distributed databases, it stores massive amounts of data and supports fast retrieval and query, providing a reliable data foundation for subsequent analysis;

[0116] Through the time series prediction model, the system can accurately predict future passenger flow trends and dynamically adjust scenic area resources in combination with the resource allocation formula to avoid resource waste and congestion;

[0117] The operation management module displays the operation status of the scenic spot in real time through the data visualization unit, and triggers alarms when key indicators such as ticket sales and tourist flow reach thresholds, assisting managers in making quick decisions. The system can initiate emergency plans in advance when large passenger flows or abnormal situations are predicted, and optimize the patrol frequency of security personnel and key area monitoring based on safety risk assessment results;

[0118] Based on real-time passenger flow data and tourists’ interest preferences, the system can generate personalized tour route recommendations to help tourists avoid crowded areas and plan their trips reasonably;

[0119] Through the real-time navigation unit and safety reminder unit, the system provides tourists with accurate location guidance and emergency avoidance suggestions, improving tourists' sense of security and satisfaction;

[0120] When emergencies such as fire and earthquake occur, the system can quickly launch emergency plans and push emergency notifications through the operation management interface and the tourist terminal to ensure the safety of tourists' lives and property;

[0121] Through intelligent prediction and dynamic adjustment, the system can effectively alleviate resource shortages during peak periods in scenic spots and improve operational efficiency;

[0122] Through real-time monitoring, abnormal event identification and emergency plan activation, the system significantly reduces the safety risks of scenic spots. Through personalized services and real-time responses, the system provides tourists with a more convenient, safe and comfortable tour experience.

[0123] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A smart cultural tourism operation and maintenance management system, characterized in that: include: Data collection module: used to connect to the scenic spot's ticketing system, security system, passenger flow statistics system and other systems to collect scenic spot operation data in real time; Data processing module: The data processing module is electrically connected to the data acquisition module. The data processing module is used to clean, store and analyze the collected multi-source data, and supports real-time data processing and historical data analysis; Operation management module: The operation management module is electrically connected to the data processing module. The operation management module is used to display the operation status, resource distribution and tourist behavior information of the scenic spot, and supports the scenic spot staff to make real-time decisions and resource scheduling; Tourist service module: Based on the analysis results, it provides tourists with safe and reasonable tour suggestions, including attraction recommendations, route planning and real-time notifications.

2. According to claim 1, a smart cultural tourism operation and maintenance management system is characterized in that: The data acquisition module specifically includes: Ticketing data collection unit: connects to the scenic spot's ticketing system based on the API interface to obtain ticket sales data and visitor entry information in real time; Security data acquisition unit: access to the video surveillance, access control and emergency alarm equipment of the security system to obtain the security status data of the scenic area in real time; Passenger flow data collection unit: collects passenger flow data of scenic spots based on sensors and cameras, including tourist density and flow trend information; Other data collection units: support data interface connection with other scenic area supporting facilities, including catering, transportation and accommodation.

3. A smart cultural tourism operation and maintenance management system according to claim 2, characterized in that: The data processing module specifically includes: Data cleaning unit: denoise the collected raw data and complete the data based on the data completion formula; Data storage unit: uses a distributed database to store massive data and supports efficient data retrieval and query; Data analysis unit: Based on the operating status of the scenic spot, use the time series prediction model to predict the passenger flow, and generate operational decision support information based on the predicted data.

4. A smart cultural tourism operation and maintenance management system according to claim 3, characterized in that: The data completion process based on the data completion formula is as follows: include: The completion formula is: In the formula, x j represents the value of the jth data point after completion, x j-1 represents the value of the j-1th data point, x j+1 Represents the value of the j+1th data point, and j represents the index of the data point.

5. The smart cultural tourism operation and maintenance management system according to claim 4 is characterized in that: Based on the operation status of the scenic spot, the time series prediction model is used to predict the passenger flow, and the operation decision support information is generated based on the prediction data. include: Among them, the time series prediction model formula is: In the formula, y t is the tourist flow at time t, p is the autoregressive order, q is the moving average order, e t is the white noise term, c is the constant term; The dataset is divided into 70% training set, 15% validation set and 15% test set, and the selected model is trained using the training set; Use the trained model to predict future passenger flow, output the prediction results, compare the prediction results with historical data, draw a time series graph, and use heat maps and bar graphs to show the spatial distribution of the prediction results; According to the prediction results, the resource allocation formula is used to dynamically adjust the scenic area resources; When large passenger flow and abnormal situations are predicted, the emergency plan will be activated in advance. If the predicted passenger flow exceeds 90% of the scenic area capacity, the emergency plan will be triggered.

6. A smart cultural tourism operation and maintenance management system according to claim 5, characterized in that: According to the prediction results, the resource allocation formula is used to dynamically adjust the specific resources of the scenic area. include: The resource allocation formula is: R i =k·F i In the formula, R i represents the resource allocation of the i-th scenic spot, F i represents the predicted passenger flow of the i-th scenic spot, and k is the resource allocation ratio coefficient.

7. A smart cultural tourism operation and maintenance management system according to claim 6, characterized in that: The operation management module specifically includes: Data visualization unit: displays the operation status of the scenic spot through charts and heat maps; Resource dispatching unit: scenic spot staff conduct real-time monitoring and management of ticketing, security and passenger flow systems; Permission management unit: different operation permissions are assigned according to different roles.

8. The smart cultural tourism operation and maintenance management system according to claim 7, characterized in that: The scenic spot staff conducts real-time monitoring and management of ticketing, security and passenger flow systems, including: Obtain information on ticket sales quantity, sales channels, sales periods, and sales time in real time, record visitor entry time and entry method, and monitor the number and reasons of ticket refunds; View the images of each surveillance camera in the scenic area in real time, focus on the entrances and exits and popular scenic spots, obtain the switch status of the access control system and card swiping record information, and receive signals from emergency alarm buttons and other alarm devices; Obtain tourist flow data, tourist movement trajectories and stay time behavior characteristics, and obtain queue lengths and waiting time information for popular attractions and projects; Based on video surveillance data and historical cases, the safety risk level in the scenic area is assessed, and image recognition technology is used to automatically identify abnormal events in the surveillance footage; When ticket sales approach the set threshold, an alarm is triggered. When the remaining ticket inventory is lower than the safety inventory, staff are reminded to replenish it. When an abnormal event is found in the monitoring screen, an alarm will be immediately issued and security personnel will be notified; When the number of tourists in an area exceeds the safe capacity, a congestion alarm is triggered and flow control measures are recommended. When the waiting time at popular attractions exceeds the set threshold, an alarm is issued and it is recommended to increase service staff and open alternate channels. Based on the results of the security risk assessment, increase the frequency of security personnel patrols in high-risk areas.

9. The smart cultural tourism operation and maintenance management system according to claim 8, characterized in that: Regularly maintain and upgrade the ticketing, security, and passenger flow systems to ensure the stable operation of the systems, conduct regular training for scenic area staff, and organize emergency drills regularly.

10. The smart cultural tourism operation and maintenance management system according to claim 9, characterized in that: The visitor service module specifically includes: Tour suggestion generation unit: Generates personalized tour route recommendations based on real-time passenger flow data and tourists’ interest preferences; Real-time navigation unit: provides real-time navigation services in the scenic area, allowing tourists to quickly find their target attractions; Safety Tips Unit: Provides safety tips and emergency risk avoidance suggestions to tourists based on weather and crowd flow factors; Emergency Response Unit: In the event of emergencies, including fire and earthquake, the emergency plan is quickly activated and emergency notifications are pushed through the operation management interface and the visitor terminal.

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