Intelligent management system and method for leisure and entertainment sleep center

Abstract

The invention discloses an intelligent management system and method for a leisure and entertainment sleep center, and relates to the field of intelligent management, and the system comprises a people flow monitoring module, a data transmission module I, a preliminary data analysis module, a data analysis matching module and a data transmission module II, according to the invention, the people flow condition of each sub-region of the target place is detected while the use functions of each sub-region of the target place are divided, a data basis is provided for the subsequent data transmission change of each type of monitoring equipment, and the data processing center carries out scientific and systematic analysis on the people flow condition of each sub-region. The method comprises the following steps: acquiring a plurality of sub-regions, matching, screening out data transmission conversion signals suitable for various monitoring devices corresponding to each sub-region, and transmitting data to a data processing center by various monitoring devices in each sub-region through a converted standard uploading time period, so as to effectively deal with a complex and changeable entertainment place environment. And the accuracy of branching early warning of the entertainment venue is effectively improved.

Description

Technical Field

[0001] The present application relates to the field of intelligent management, and in particular to an intelligent management system and method for a leisure, entertainment and sleep center. Background Art

[0002] Entertainment venues are crowded areas, and once a safety accident occurs, the consequences are disastrous. Through the intelligent management system, different safety monitoring strategies can be adopted in time to discover potential safety hazards in time and take preventive measures, thereby reducing the probability of accidents and protecting the lives and property of the public. The existing technology still has the following shortcomings;

[0003] When dealing with various risk sources in entertainment venues, existing risk warning technologies may not be able to fully and accurately regulate the safety monitoring equipment corresponding to various risk sources, resulting in some potential dangers being ignored.

[0004] Existing technology is unable to accurately regulate the data transmission of various monitoring equipment according to the usage conditions of entertainment venues, making it impossible for data transmission results to effectively respond to changes in risks in entertainment venues. The accuracy and timeliness of data sources are reduced, which can easily reduce the accuracy of risk warning results for entertainment venues. Summary of the invention

[0005] An object of the present invention is to provide a wireless communication method using a control channel between wireless communication devices to solve the problems raised in the above background technology.

[0006] To achieve the above-mentioned purpose, the present invention provides the following technical solution: an intelligent management system for a leisure, entertainment and sleep center, comprising:

[0007] Crowd flow monitoring module: used to monitor the flow of people in the leisure, entertainment and sleeping centers and obtain the flow information of people in the target places;

[0008] Data transmission module 1: used for data processing and data transmission of the crowd flow information of the target place, and the data processing center receives the crowd flow information of the target place;

[0009] Preliminary data analysis module: used to analyze the flow of people information of the target place received by the data processing center, and obtain the comprehensive safety warning coefficient corresponding to the target place;

[0010] Data analysis and matching module: used to perform data analysis and matching according to the comprehensive safety warning coefficient corresponding to the target place, and obtain the data transmission transformation set of each sub-area corresponding to the target place;

[0011] Data transmission module 2: used to transmit data to the data transmission transformation set of each sub-area corresponding to the target place, and perform data transmission management to obtain the intelligent management result corresponding to the target place.

[0012] In the preferred embodiment of this scheme, the specific implementation method of the crowd flow monitoring module is as follows:

[0013] Establish a data extraction relationship between the crowd flow monitoring module and the database, extract the planning and design scheme corresponding to the target place stored in the database, and obtain the functional zoning information corresponding to the target place by extracting information from the planning and design scheme corresponding to the target place, wherein the functional zoning information includes each sub-area corresponding to the target place and the usage function corresponding to each sub-area;

[0014] The number of connecting channels between each sub-area and each adjacent sub-area and the position coordinates of the connecting channels are obtained through the planning and design scheme corresponding to the target location, and the number of safety channels corresponding to each sub-area and the coordinate position of each safety channel are obtained;

[0015] An infrared sensing device is set up at the position coordinates of each connecting channel, and crowd flow detection is performed through the infrared sensing device set up at the position coordinates of each connecting channel to obtain crowd flow information of each sub-area and each adjacent sub-area corresponding to each connecting channel, wherein the crowd flow information includes information of people entering and people leaving each sub-area corresponding to each connecting channel;

[0016] An infrared sensing device is set up at the location coordinates of each safety channel, and crowd flow detection is performed through the infrared sensing device set up at the location coordinates of each safety channel to obtain crowd flow information corresponding to each safety channel in each sub-area, wherein the crowd flow information includes information of people entering and leaving the safety channel;

[0017] The inbound personnel information refers to each inbound personnel and their inbound timestamp, and the outbound personnel information refers to each outbound personnel and their outbound timestamp;

[0018] The crowd flow information of each connecting channel corresponding to each sub-area and each adjacent sub-area and the crowd flow information of each safety channel corresponding to each sub-area are recorded as the crowd flow information of the target place.

[0019] In a preferred embodiment of this scheme, the specific implementation method of the data transmission module 1 is as follows:

[0020] The detection data is segmented by the data processing unit in each infrared sensing device to obtain a set of crowd flow information data of each infrared sensing device in a preset time period, and the crowd flow information data set of each infrared sensing device in the preset time period is converted by the data processing unit in each infrared sensing device to obtain a digital signal of a specific format corresponding to the preset time period of each infrared sensing device, and the digital signal of the specific format corresponding to the preset time period of each infrared sensing device is transmitted through a wireless network and a preset transmission protocol.

[0021] The data processing center receives the digital signals of specific formats corresponding to the preset time period from each infrared sensing device and performs signal analysis on the digital signals of specific formats corresponding to the preset time period from each infrared sensing device to obtain the data set of the flow of people information of each infrared sensing device in the preset time period.

[0022] In the preferred embodiment of this scheme, the specific implementation method of the preliminary data analysis module is as follows:

[0023] The data processing center extracts and counts the data set of human flow information of each infrared sensing device in the preset time period, obtains the total number of people entering and leaving each connecting channel corresponding to each sub-area and each adjacent sub-area in the preset time period, and obtains the total number of people entering and leaving each safety channel corresponding to each sub-area in the preset time period;

[0024] Statistical calculation is performed to obtain the total number of people entering and leaving each sub-area during the preset time period, the total number of mobile people corresponding to each sub-area during the preset time period is obtained by summing up, the personnel flow frequency corresponding to each sub-area during the preset time period and the net increase in personnel change curve and the total number of permanent personnel change curve corresponding to each sub-area during the preset time period are calculated, and the net increase in personnel and the total number of permanent personnel at the end of the preset time period are extracted;

[0025] Establishing a data extraction relationship between the preliminary data analysis module and the database, extracting data processing sub-node information stored in the database, wherein the data processing sub-node information refers to each data analysis point in a preset time period;

[0026] Extract data from the net increase in personnel change curve and the total number of permanent personnel change curve corresponding to each sub-area in the preset time period through each data analysis point in the preset time period, and obtain the total number of net increase in personnel, the change rate of net increase in personnel, the total number of permanent personnel, and the change rate of permanent personnel corresponding to each data analysis point;

[0027] By calculating the formula Calculate and obtain the preliminary safety warning coefficient msw i corresponding to each sub-area;

[0028] Extract the safety warning impact coefficient corresponding to each use function stored in the database, and obtain the safety warning impact coefficient of each sub-area corresponding to the target place by screening the use functions of each sub-area corresponding to the target place;

[0029] By calculation formula:

[0030] Calculate the comprehensive safety warning coefficient cwc corresponding to the target location, where ni i～α ,ni′ i～α ,pp i～α , pp′ i～αThey are respectively represented by the total number of net increase in personnel, the change rate of net increase in personnel, the total number of permanent personnel and the change rate of permanent personnel corresponding to each data analysis point in each sub-region, Ff i It is represented by the personnel flow frequency corresponding to each sub-area in the preset time period, M′ i , M″ i It is expressed as the total number of net additional personnel and the total number of permanent personnel at the end of the preset time period in each sub-area, swc i It is represented as the safety warning impact coefficient of each sub-area corresponding to the target place, α is represented as the number of each data analysis point, β is represented as the number of data analysis points, i is represented as the number corresponding to each sub-area, k is represented as the number of sub-areas, and e is represented as a natural constant.

[0031] In the preferred embodiment of this solution, the specific implementation method of the data analysis and matching module is as follows:

[0032] Establish a data extraction relationship between the data analysis and matching module and the database, and extract each monitoring signal transformation set stored in the database, wherein the monitoring signal transformation set includes a data transmission transformation set and a feature set, wherein the data transmission transformation set includes data transmission transformation signals of various monitoring devices corresponding to each sub-region, wherein the data transmission transformation signal includes the data upload time interval of various security monitoring devices corresponding to each sub-region and the data upload time interval of infrared sensing devices corresponding to each sub-region, and the feature set includes the preliminary safety warning coefficient corresponding to each sub-region and the comprehensive safety warning coefficient corresponding to the target location;

[0033] The comprehensive safety warning coefficient corresponding to the target location and the preliminary safety warning coefficient corresponding to each sub-area are matched with the feature set of each monitoring signal transformation set to obtain the data transmission transformation set of each sub-area corresponding to the target location.

[0034] In a preferred embodiment of this scheme, the specific implementation method of the data transmission module 2 is as follows:

[0035] The data processing center transmits data to and from each sub-area corresponding to each type of monitoring equipment through wireless networks and communication protocols;

[0036] Each safety monitoring device and each infrared sensing device corresponding to each sub-area receives data from the data processing center. By analyzing the data from the data processing center, each safety monitoring device and each infrared sensing device obtains a corresponding data uploading time interval;

[0037] The corresponding data upload time interval of each safety monitoring device and each infrared sensing device is recorded as the standard upload time period of each safety monitoring device and each infrared sensing device. Each safety monitoring device and each infrared sensing device transmits data to the data processing center according to the standard upload time period. The data transmission of each safety monitoring device and each infrared sensing device to the data processing center according to the standard upload time period is recorded as the intelligent management result corresponding to the target place.

[0038] To achieve the above object, the present invention also provides the following technical solution: an intelligent management method for a leisure and entertainment sleep center, comprising the following steps:

[0039] Monitor the flow of people in leisure, entertainment and sleeping centers to obtain the flow of people information in target places;

[0040] Perform data processing and data transmission on the crowd flow information of the target place, and the data processing center receives the crowd flow information of the target place;

[0041] Perform data analysis on the crowd flow information of the target place received by the data processing center to obtain the comprehensive safety warning coefficient corresponding to the target place;

[0042] Perform data analysis and matching according to the comprehensive safety warning coefficient corresponding to the target location, and obtain a data transmission transformation set for each sub-area corresponding to the target location;

[0043] Data transmission is performed on the data transmission transformation set corresponding to each sub-area of ​​the target place, and data transmission management is performed to obtain an intelligent management result corresponding to the target place.

[0044] Compared with the prior art, the present invention has the following beneficial effects:

[0045] The present invention detects the flow of people in each sub-area of ​​the target place while dividing the sub-areas according to their usage functions, providing a data basis for subsequent data transmission changes for various types of monitoring equipment, thereby improving the accuracy of data transmission control and management of various types of monitoring equipment;

[0046] The present invention detects the crowd flow conditions in each sub-area and transmits the crowd flow conditions in each sub-area. The data processing center conducts a scientific and systematic analysis of the crowd flow conditions in each sub-area, and matches them to screen out data transmission conversion signals suitable for various monitoring devices corresponding to each sub-area. Various monitoring devices in each sub-area transmit data to the data processing center through the converted standard upload time period, thereby effectively coping with the complex and changeable entertainment venue environment and effectively improving the accuracy of entertainment venue line warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0048] Figure 1 This is a schematic diagram of module connection according to an embodiment of the present invention.

[0049] Figure 2 It is a schematic diagram of the connection steps of an embodiment of the present invention. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] See also Figure 1 ,The present invention provides an intelligent management system for a leisure, entertainment and sleep center, the system includes a flow monitoring module, a data transmission module 1, a preliminary data analysis module, a data analysis and matching module and a data transmission module 2;

[0052] The crowd monitoring module is connected to the data transmission module one, the data transmission module one is connected to the preliminary data analysis module, the preliminary data analysis module is connected to the data analysis matching module, and the data analysis matching module is connected to the data transmission module two.

[0053] The crowd flow monitoring module is used to monitor the crowd flow in the leisure, entertainment and sleeping center to obtain the crowd flow information of the target place;

[0054] Furthermore, the specific implementation of the crowd flow monitoring module is as follows:

[0055] Establish a data extraction relationship between the crowd flow monitoring module and the database, extract the planning and design scheme corresponding to the target place stored in the database, and obtain the functional zoning information corresponding to the target place by extracting information from the planning and design scheme corresponding to the target place, wherein the functional zoning information includes each sub-area corresponding to the target place and the usage function corresponding to each sub-area;

[0056] The number of connecting channels between each sub-area and each adjacent sub-area and the position coordinates of the connecting channels are obtained through the planning and design scheme corresponding to the target location, and the number of safety channels corresponding to each sub-area and the coordinate position of each safety channel are obtained;

[0057] An infrared sensing device is set up at the position coordinates of each connecting channel, and crowd flow detection is performed through the infrared sensing device set up at the position coordinates of each connecting channel to obtain crowd flow information of each sub-area and each adjacent sub-area corresponding to each connecting channel, wherein the crowd flow information includes information of people entering and people leaving each sub-area corresponding to each connecting channel;

[0058] An infrared sensing device is set up at the location coordinates of each safety channel, and crowd flow detection is performed through the infrared sensing device set up at the location coordinates of each safety channel to obtain crowd flow information corresponding to each safety channel in each sub-area, wherein the crowd flow information includes information of people entering and leaving the safety channel;

[0059] The inbound personnel information refers to each inbound personnel and their inbound timestamp, and the outbound personnel information refers to each outbound personnel and their outbound timestamp;

[0060] The crowd flow information of each connecting channel corresponding to each sub-area and each adjacent sub-area and the crowd flow information of each safety channel corresponding to each sub-area are recorded as the crowd flow information of the target place.

[0061] The data transmission module 1 is used for data processing and data transmission of the crowd flow information of the target place, and the data processing center receives the crowd flow information of the target place;

[0062] Furthermore, the specific implementation of the data transmission module 1 is as follows:

[0063] The detection data is segmented by the data processing unit in each infrared sensing device to obtain a set of crowd flow information data of each infrared sensing device in a preset time period, and the crowd flow information data set of each infrared sensing device in the preset time period is converted by the data processing unit in each infrared sensing device to obtain a digital signal of a specific format corresponding to the preset time period of each infrared sensing device, and the digital signal of the specific format corresponding to the preset time period of each infrared sensing device is transmitted through a wireless network and a preset transmission protocol.

[0064] The data processing center receives the digital signals of specific formats corresponding to the preset time period from each infrared sensing device and performs signal analysis on the digital signals of specific formats corresponding to the preset time period from each infrared sensing device to obtain the data set of the flow of people information of each infrared sensing device in the preset time period.

[0065] The preliminary data analysis module is used to analyze the flow of people information of the target place received by the data processing center, and obtain the comprehensive safety warning coefficient corresponding to the target place;

[0066] Furthermore, the specific implementation of the preliminary data analysis module is as follows:

[0067] The data processing center extracts and counts the data set of human flow information of each infrared sensing device in the preset time period, obtains the total number of people entering and leaving each connecting channel corresponding to each sub-area and each adjacent sub-area in the preset time period, and obtains the total number of people entering and leaving each safety channel corresponding to each sub-area in the preset time period;

[0068] Statistical calculation is performed to obtain the total number of people entering and leaving each sub-area during the preset time period, the total number of mobile people corresponding to each sub-area during the preset time period is obtained by summing up, the personnel flow frequency corresponding to each sub-area during the preset time period and the net increase in personnel change curve and the total number of permanent personnel change curve corresponding to each sub-area during the preset time period are calculated, and the net increase in personnel and the total number of permanent personnel at the end of the preset time period are extracted;

[0069] Establishing a data extraction relationship between the preliminary data analysis module and the database, extracting data processing sub-node information stored in the database, wherein the data processing sub-node information refers to each data analysis point in a preset time period;

[0070] Extract data from the net increase in personnel change curve and the total number of permanent personnel change curve corresponding to each sub-area in the preset time period through each data analysis point in the preset time period, and obtain the total number of net increase in personnel, the change rate of net increase in personnel, the total number of permanent personnel, and the change rate of permanent personnel corresponding to each data analysis point;

[0071] By calculating the formula Calculate the initial safety warning coefficient msw corresponding to each sub-area i ;

[0072] Extract the safety warning impact coefficient corresponding to each use function stored in the database, and obtain the safety warning impact coefficient of each sub-area corresponding to the target place by screening the use functions of each sub-area corresponding to the target place;

[0073] By calculation formula:

[0074] Calculate the comprehensive safety warning coefficient cwc corresponding to the target location, where ni i～α ,ni′i ～α ,pp i～α , pp′ i～α They are respectively represented by the total number of net increase in personnel, the change rate of net increase in personnel, the total number of permanent personnel and the change rate of permanent personnel corresponding to each data analysis point in each sub-region, Ff i It is represented by the personnel flow frequency corresponding to each sub-area in the preset time period, M′ i , M″ i It is expressed as the total number of net additional personnel and the total number of permanent personnel at the end of the preset time period in each sub-area, swc iIt is represented as the safety warning impact coefficient of each sub-area corresponding to the target place, α is represented as the number of each data analysis point, β is represented as the number of data analysis points, i is represented as the number corresponding to each sub-area, k is represented as the number of sub-areas, and e is represented as a natural constant.

[0075] The data analysis and matching module is used to perform data analysis and matching according to the comprehensive safety warning coefficient corresponding to the target place, and obtain a data transmission transformation set corresponding to each sub-area of ​​the target place;

[0076] Furthermore, the specific execution method of the data analysis and matching module is as follows:

[0077] Establish a data extraction relationship between the data analysis and matching module and the database, and extract each monitoring signal transformation set stored in the database, wherein the monitoring signal transformation set includes a data transmission transformation set and a feature set, wherein the data transmission transformation set includes data transmission transformation signals of various monitoring devices corresponding to each sub-region, wherein the data transmission transformation signal includes the data upload time interval of various security monitoring devices corresponding to each sub-region and the data upload time interval of infrared sensing devices corresponding to each sub-region, and the feature set includes the preliminary safety warning coefficient corresponding to each sub-region and the comprehensive safety warning coefficient corresponding to the target location;

[0078] The comprehensive safety warning coefficient corresponding to the target location and the preliminary safety warning coefficient corresponding to each sub-area are matched with the feature set of each monitoring signal transformation set to obtain the data transmission transformation set of each sub-area corresponding to the target location.

[0079] The second data transmission module is used to transmit data to the data transmission transformation set corresponding to each sub-area of ​​the target place, and to perform data transmission management to obtain the intelligent management result corresponding to the target place.

[0080] Furthermore, the specific implementation of the data transmission module 2 is as follows:

[0081] The data processing center transmits data to and from each sub-area corresponding to each type of monitoring equipment through wireless networks and communication protocols;

[0082] Each safety monitoring device and each infrared sensing device corresponding to each sub-area receives data from the data processing center. By analyzing the data from the data processing center, each safety monitoring device and each infrared sensing device obtains a corresponding data uploading time interval;

[0083] The corresponding data upload time interval of each safety monitoring device and each infrared sensing device is recorded as the standard upload time period of each safety monitoring device and each infrared sensing device. Each safety monitoring device and each infrared sensing device transmits data to the data processing center according to the standard upload time period. The data transmission of each safety monitoring device and each infrared sensing device to the data processing center according to the standard upload time period is recorded as the intelligent management result corresponding to the target place.

[0084] See also Figure 2 To achieve the above purpose, the present invention also provides the following technical solution: an intelligent management method for a leisure and entertainment sleep center, comprising the following steps:

[0085] Monitor the flow of people in leisure, entertainment and sleeping centers to obtain the flow of people information in target places;

[0086] Perform data processing and data transmission on the crowd flow information of the target place, and the data processing center receives the crowd flow information of the target place;

[0087] Perform data analysis on the crowd flow information of the target place received by the data processing center to obtain the comprehensive safety warning coefficient corresponding to the target place;

[0088] Perform data analysis and matching according to the comprehensive safety warning coefficient corresponding to the target location, and obtain a data transmission transformation set for each sub-area corresponding to the target location;

[0089] Data transmission is performed on the data transmission transformation set corresponding to each sub-area of ​​the target place, and data transmission management is performed to obtain an intelligent management result corresponding to the target place.

[0090] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. An intelligent management system for a leisure, entertainment and sleep center, characterized by: include: Crowd flow monitoring module: used to monitor the flow of people in the leisure, entertainment and sleeping centers and obtain the flow information of people in the target places; Data transmission module 1: used for data processing and data transmission of the crowd flow information of the target place, and the data processing center receives the crowd flow information of the target place; Preliminary data analysis module: used to analyze the flow of people information of the target place received by the data processing center, and obtain the comprehensive safety warning coefficient corresponding to the target place; Data analysis and matching module: used to perform data analysis and matching according to the comprehensive safety warning coefficient corresponding to the target place, and obtain the data transmission transformation set of each sub-area corresponding to the target place; Data transmission module 2: used to transmit data to the data transmission transformation set of each sub-area corresponding to the target place, and perform data transmission management to obtain the intelligent management result corresponding to the target place.

2. The intelligent management system for a leisure, entertainment and sleep center according to claim 1, characterized in that: The specific implementation method of the crowd flow monitoring module is as follows: Establish a data extraction relationship between the crowd flow monitoring module and the database, extract the planning and design scheme corresponding to the target place stored in the database, and obtain the functional zoning information corresponding to the target place by extracting information from the planning and design scheme corresponding to the target place, wherein the functional zoning information includes each sub-area corresponding to the target place and the usage function corresponding to each sub-area; The number of connecting channels between each sub-area and each adjacent sub-area and the position coordinates of the connecting channels are obtained through the planning and design scheme corresponding to the target location, and the number of safety channels corresponding to each sub-area and the coordinate position of each safety channel are obtained; An infrared sensing device is set up at the position coordinates of each connecting channel, and crowd flow detection is performed through the infrared sensing device set up at the position coordinates of each connecting channel to obtain crowd flow information of each sub-area and each adjacent sub-area corresponding to each connecting channel, wherein the crowd flow information includes information of people entering and people leaving each sub-area corresponding to each connecting channel; An infrared sensing device is set up at the location coordinates of each safety channel, and crowd flow detection is performed through the infrared sensing device set up at the location coordinates of each safety channel to obtain crowd flow information corresponding to each safety channel in each sub-area, wherein the crowd flow information includes information of people entering and leaving the safety channel; The inbound personnel information refers to each inbound personnel and their inbound timestamp, and the outbound personnel information refers to each outbound personnel and their outbound timestamp; The crowd flow information of each connecting channel corresponding to each sub-area and each adjacent sub-area and the crowd flow information of each safety channel corresponding to each sub-area are recorded as the crowd flow information of the target place.

3. The intelligent management system for a leisure, entertainment and sleep center according to claim 2, characterized in that: The specific implementation method of the data transmission module 1 is as follows: The detection data is segmented by the data processing unit in each infrared sensing device to obtain a set of crowd flow information data of each infrared sensing device in a preset time period, and the crowd flow information data set of each infrared sensing device in the preset time period is converted by the data processing unit in each infrared sensing device to obtain a digital signal of a specific format corresponding to the preset time period of each infrared sensing device, and the digital signal of the specific format corresponding to the preset time period of each infrared sensing device is transmitted through a wireless network and a preset transmission protocol. The data processing center receives the digital signals of specific formats corresponding to the preset time period from each infrared sensing device and performs signal analysis on the digital signals of specific formats corresponding to the preset time period from each infrared sensing device to obtain the data set of the flow of people information of each infrared sensing device in the preset time period.

4. The intelligent management system for a leisure, entertainment and sleep center according to claim 3, characterized in that: The specific implementation method of the preliminary data analysis module is as follows: The data processing center extracts and counts the data set of human flow information of each infrared sensing device in the preset time period, obtains the total number of people entering and leaving each connecting channel corresponding to each sub-area and each adjacent sub-area in the preset time period, and obtains the total number of people entering and leaving each safety channel corresponding to each sub-area in the preset time period; Statistical calculation is performed to obtain the total number of people entering and leaving each sub-area during the preset time period, the total number of mobile people corresponding to each sub-area during the preset time period is obtained by summing up, the personnel flow frequency corresponding to each sub-area during the preset time period and the net increase in personnel change curve and the total number of permanent personnel change curve corresponding to each sub-area during the preset time period are calculated, and the net increase in personnel and the total number of permanent personnel at the end of the preset time period are extracted; Establishing a data extraction relationship between the preliminary data analysis module and the database, extracting data processing sub-node information stored in the database, wherein the data processing sub-node information refers to each data analysis point in a preset time period; Extract data from the net increase in personnel change curve and the total number of permanent personnel change curve corresponding to each sub-area in the preset time period through each data analysis point in the preset time period, and obtain the total number of net increase in personnel, the change rate of net increase in personnel, the total number of permanent personnel, and the change rate of permanent personnel corresponding to each data analysis point; By calculating the formula , calculate the initial safety warning coefficient corresponding to each sub-area ; Extract the safety warning impact coefficient corresponding to each usage function stored in the database, and obtain the safety warning impact coefficient of each sub-area corresponding to the target place by filtering the usage functions of each sub-area corresponding to the target place; By calculation formula: , calculate the comprehensive safety warning coefficient corresponding to the target location ,in , , , They are respectively represented by the total number of net increase in personnel, the change rate of net increase in personnel, the total number of permanent personnel and the change rate of permanent personnel corresponding to each data analysis point in each sub-region. It is represented by the personnel flow frequency corresponding to each sub-area in the preset time period. , It is expressed as the total number of net additional personnel and the total number of permanent personnel at the end of the preset time period in each sub-area. It is expressed as the safety warning impact coefficient of each sub-area corresponding to the target location, It represents the number of each data analysis point. Expressed as the number of data analysis points, It represents the number corresponding to each sub-region. is expressed as the number of sub-regions, Expressed as a natural constant.

5. The intelligent management system for a leisure, entertainment and sleep center according to claim 4, characterized in that: The specific implementation method of the data analysis and matching module is as follows: Establish a data extraction relationship between the data analysis and matching module and the database, and extract each monitoring signal transformation set stored in the database, wherein the monitoring signal transformation set includes a data transmission transformation set and a feature set, wherein the data transmission transformation set includes data transmission transformation signals of various monitoring devices corresponding to each sub-region, wherein the data transmission transformation signal includes the data upload time interval of various security monitoring devices corresponding to each sub-region and the data upload time interval of infrared sensing devices corresponding to each sub-region, and the feature set includes the preliminary safety warning coefficient corresponding to each sub-region and the comprehensive safety warning coefficient corresponding to the target location; The comprehensive safety warning coefficient corresponding to the target location and the preliminary safety warning coefficient corresponding to each sub-area are matched with the feature set of each monitoring signal transformation set to obtain the data transmission transformation set of each sub-area corresponding to the target location.

6. The intelligent management system for a leisure, entertainment and sleep center according to claim 5, characterized in that: The specific implementation method of the data transmission module 2 is as follows: The data processing center transmits data to and from each sub-area corresponding to each type of monitoring equipment through wireless networks and communication protocols; Each safety monitoring device and each infrared sensing device corresponding to each sub-area receives data from the data processing center. By analyzing the data from the data processing center, each safety monitoring device and each infrared sensing device obtains a corresponding data uploading time interval; The corresponding data upload time interval of each safety monitoring device and each infrared sensing device is recorded as the standard upload time period of each safety monitoring device and each infrared sensing device. Each safety monitoring device and each infrared sensing device transmits data to the data processing center according to the standard upload time period. The data transmission of each safety monitoring device and each infrared sensing device to the data processing center according to the standard upload time period is recorded as the intelligent management result corresponding to the target place.

7. An intelligent management method for a leisure, entertainment and sleep center, applied to an intelligent management system for a leisure, entertainment and sleep center as claimed in any one of claims 1 to 6, characterized in that: include: Monitor the flow of people in leisure, entertainment and sleeping centers to obtain the flow of people information in target places; Perform data processing and data transmission on the crowd flow information of the target place, and the data processing center receives the crowd flow information of the target place; Perform data analysis on the crowd flow information of the target place received by the data processing center to obtain the comprehensive safety warning coefficient corresponding to the target place; Perform data analysis and matching according to the comprehensive safety warning coefficient corresponding to the target location, and obtain a data transmission transformation set for each sub-area corresponding to the target location; Data transmission is performed on the data transmission transformation set corresponding to each sub-area of ​​the target place, and data transmission management is performed to obtain an intelligent management result corresponding to the target place.

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