A travel safety management method and system for the elderly based on big data

Abstract

The present invention relates to the technical field of big data tourism management, and in particular to a method and system for elderly tourism safety management based on big data; an estimated result corresponding to each tourist output by the tourist lost estimation model is obtained through a tourist lost estimation model and actual tourism information corresponding to each tourist, and a user terminal worn by a tourist with an estimated result of being estimated to be lost is marked as a first target terminal, and then other user terminals are marked as second target terminals; then a tour guide terminal obtains a first sound signal emitted by the first target terminal and a second sound signal emitted by the second target terminal; the tour guide terminal determines the lost risk level of the tourist wearing the first target terminal based on the first sound signal and the second sound signal, thereby timely warning tourists with high lost risk, and avoiding the elderly from being lost when traveling in a group as much as possible.

Description

Technical Field

[0001] The present invention relates to the technical field of big data tourism management, and in particular to a tourism safety management method and system for the elderly based on big data. Background Art

[0002] In the era of big data, the form of tourism is changing, and a modern smart tourism management model with tourists' interactive experience as the core has gradually been formed. At the same time, with the vigorous development of the sunset industry, the elderly tourism industry has also ushered in explosive growth. Due to the high density of people and high mobility of tourists during tourism, the elderly are more likely to have potential safety hazards during group travel than other groups, such as being more likely to get lost; there is currently no technical solution for targeted safety prevention against the situation where the elderly are prone to getting lost during group travel. Summary of the invention

[0003] The main purpose of the present invention is to provide a method and system for elderly travel safety management based on big data, aiming to solve the problem that there is currently no technical solution for targeted safety prevention against the situation where the elderly are prone to getting lost when traveling in a group.

[0004] The technical solution proposed by the present invention is:

[0005] A method for elderly tourism safety management based on big data is applied to an elderly tourism safety management system based on big data; the system comprises a user terminal, a tour guide terminal, a management terminal and a server; the user terminal, the management terminal and the tour guide terminal are all communicatively connected to the server; the user terminal is worn by the user; the tour guide terminal is carried by the tour guide; the method comprises:

[0006] The server constructs and trains a tourist lost prediction model;

[0007] The server obtains actual travel information corresponding to each tourist, wherein the actual travel information includes actual weather information of the day uploaded by the tour guide through the tour guide terminal, the actual age of each tourist, and the actual flow of people in the scenic spot on the day uploaded by the scenic spot manager through the management terminal;

[0008] The server inputs actual travel information into the trained tourist lost prediction model to obtain an estimated result output by the tourist lost prediction model, wherein the estimated result is any one of estimated lost and estimated normal;

[0009] The server marks the user terminal worn by the tourist whose estimated result is that he is lost as the first target terminal, and marks other user terminals as the second target terminals;

[0010] The tour guide terminal respectively obtains a first sound signal sent by the first target terminal and a second sound signal sent by the second target terminal;

[0011] The tour guide terminal determines the risk level of getting lost of the tourist wearing the first target terminal based on the first sound signal and the second sound signal, wherein the risk level of getting lost is high risk or low risk.

[0012] Preferably, the server constructs and trains a tourist lost prediction model, including:

[0013] The server constructs a tourist lost prediction model;

[0014] The server obtains historical travel information corresponding to each tourist within a first preset time period in the past, wherein the historical travel information includes the tourist's age, historical weather information on the day, historical flow of people in the scenic spot on the day, and whether the tourist is lost, wherein the historical flow of people in the scenic spot on the day is uploaded to the server by the scenic spot manager through the management terminal;

[0015] The server uses the age of tourists in the historical travel information, the historical weather information of the day, and the historical flow of people in the scenic spot on the day as input parameters of the tourist lost prediction model, and uses whether the tourists in the historical travel information are lost as the output parameter of the tourist lost prediction model for training.

[0016] Preferably, the number of the second target terminals is multiple; the first sound signal and the second sound signal are both ultrasonic signals; the user terminal includes an ultrasonic speaker; the tour guide terminal includes a sound sensor for receiving sound signals; the tour guide terminal respectively obtains the first sound signal sent by the first target terminal and the second sound signal sent by the second target terminal, including:

[0017] The first target terminal sends a first sound signal through an ultrasonic speaker, so that the tour guide terminal receives the first sound signal, wherein the duration of the first sound signal is a second preset duration, and the intensity value of the first sound signal is a preset intensity value;

[0018] Each of the second target terminals sequentially sends out a second sound signal through an ultrasonic speaker, so that the tour guide terminal sequentially receives the second sound signal sent by each of the second target terminals, wherein the duration of the second sound signal is a second preset duration, and the intensity value of the second sound signal is a preset intensity value;

[0019] The guide terminal determines the risk level of loss of a tourist wearing the first target terminal based on the first sound signal and the second sound signal, including:

[0020] The tour guide terminal calculates an average intensity value of the received first sound signal within a second preset time period and marks it as a first average intensity value;

[0021] The tour guide terminal calculates an average intensity value of each received second sound signal within a second preset time period, and marks the average intensity value as a second average intensity value corresponding to each second sound signal;

[0022] The tour guide terminal determines the risk level of getting lost of the tourist wearing the first target terminal based on the first average intensity value and the second average intensity value.

[0023] Preferably, the guide terminal determines the risk level of loss of the tourist wearing the first target terminal based on the first average intensity value and the second average intensity value, including:

[0024] The tour guide terminal calculates a first difference ratio that can reflect the distance difference between the tourist wearing the first target terminal and the tour guide, and between the tourist wearing the second target terminal and the tour guide based on the first average intensity value and the second average intensity value:

[0025] ,

[0026] In the formula, is the first difference ratio; is the first average intensity value; is the second average intensity value corresponding to the j-th second sound signal, j is a positive integer less than or equal to J, and J is the total number of second sound signals received by the tour guide terminal;

[0027] When the first difference ratio is greater than a first preset value, the tour guide terminal determines that the risk level of getting lost of the tourist wearing the first target terminal is high risk.

[0028] Preferably, the user terminal further includes a sound sensor for receiving a sound signal; the server marks the user terminal worn by the tourist whose estimated result is that he is lost as the first target terminal, and marks other user terminals as the second target terminal, and then further includes:

[0029] The first target terminal sends a third sound signal through the ultrasonic speaker, wherein the duration of the third sound signal is the second preset duration, and the intensity value of the third sound signal is the preset intensity value;

[0030] Each of the second target terminals receives the third sound signal respectively, and calculates an average strength value of the received third sound signal within a second preset time length, and marks it as a third average strength value, wherein, is a third average strength value calculated for the j-th second target terminal, where j is a positive integer less than or equal to J, and J is the total number of second target terminals;

[0031] Each of the second target terminals sends the calculated third average strength value to the server;

[0032] The server sets j=1;

[0033] The server controls the j-th second target terminal to emit a fourth sound signal through the ultrasonic speaker, so that the remaining second target terminals receive the fourth sound signal, wherein the duration of the fourth sound signal is the second preset duration, and the intensity value of the fourth sound signal is the preset intensity value;

[0034] The remaining second target terminals calculate the average strength value of the received fourth sound signal within the second preset time length, and mark it as the fourth average strength value corresponding to the fourth sound signal, where: a fourth average intensity value corresponding to the fourth sound signal emitted by the j-th second target terminal calculated for the k-th remaining second target terminal, where k is a positive integer less than or equal to J-1;

[0035] The remaining second target terminals send the calculated fourth average strength values ​​to the server;

[0036] The server sets j=j+1 and determines whether j>J holds;

[0037] If yes, the server calculates a normal average intensity value that can reflect the distance between visitors wearing the second target terminal based on all the fourth average intensity values;

[0038] If not, executing the server controlling the j-th second target terminal to send a fourth sound signal through the ultrasonic speaker, so that the remaining second target terminals receive the fourth sound signal, and subsequent steps;

[0039] The server calculates a second difference ratio that can reflect the distance between the tourist wearing the first target terminal and other tourists based on the normal average intensity value and the third average intensity value;

[0040] The server determines the risk level of loss of the visitor wearing the first target terminal based on the second difference ratio.

[0041] Preferably, the server calculates a normal average intensity value based on all fourth average intensity values, which can reflect the distance between visitors wearing the second target terminal, using the following calculation formula:

[0042] ,

[0043] In the formula, is the normal average intensity value;

[0044] The server calculates a second difference ratio based on the normal average intensity value and the third average intensity value, which can reflect the distance between the tourist wearing the first target terminal and other tourists. The calculation formula is:

[0045] ,

[0046] In the formula, is the second difference ratio;

[0047] The server determines the risk level of loss of the tourist wearing the first target terminal based on the second difference ratio, including:

[0048] When the second difference ratio is less than a second preset value, the server determines that the risk level of getting lost of the visitor wearing the first target terminal is high risk.

[0049] Preferably, the tour guide terminal further includes an ultrasonic speaker for emitting a sound signal; the sampling period of the sound sensor of the user terminal is a third preset time length; the third preset time length is less than the second preset time length, and the second preset time length is an integer multiple of the third preset time length; the tour guide terminal calculates a first difference ratio that can reflect the distance difference between a tourist wearing the first target terminal and the tour guide, and a tourist wearing the second target terminal and the tour guide based on the first average intensity value and the second average intensity value, and then further includes:

[0050] When the first difference ratio is greater than a first preset value, the tour guide terminal sends a fifth sound signal through the ultrasonic speaker, wherein the duration of the fifth sound signal is the second preset duration, and the intensity of the fifth sound signal is the preset intensity value. When the tour guide terminal sends the fifth sound signal, the tour guide moves closer to the location of the tourist body;

[0051] The first target terminal receives a fifth sound signal, wherein the fifth sound signal received by the first target terminal includes a preset number of fifth sub-signals, and the preset number is , is the second preset duration, The third preset duration;

[0052] The first target terminal obtains the sound intensity value of each received fifth sub-signal, wherein: is the sound intensity value of the hth fifth sub-signal received by the first target terminal, where h is less than or equal to A positive integer of ;

[0053] The first target terminal calculates a first sound intensity change rate that can reflect the movement of the tourist wearing the first target terminal relative to the tour guide based on the sound intensity values ​​of each received fifth sub-signal;

[0054] The first target terminal sends the first sound intensity change rate to the tour guide terminal;

[0055] The second target terminal receives a fifth sound signal, wherein the fifth sound signal received by the second target terminal includes a preset number of fifth sub-signals;

[0056] The second target terminal obtains the sound intensity value of each received fifth sub-signal, wherein: is the sound intensity value of the hth fifth sub-signal received by the jth second target terminal, where j is a positive integer less than or equal to J, and J is the total number of second target terminals;

[0057] The second target terminal calculates a second sound intensity change rate that can reflect the movement of the tourist wearing the second target terminal relative to the tour guide based on the sound intensity values ​​of each received fifth sub-signal;

[0058] The second target terminal sends the second sound intensity change rate to the tour guide terminal;

[0059] The tour guide terminal determines the risk level of the tourist wearing the first target terminal for getting lost based on the first sound intensity change rate and the second sound intensity change rate sent by each of the second target terminals.

[0060] Preferably, the first target terminal calculates the first sound intensity change rate that can reflect the movement of the tourist wearing the first target terminal relative to the tour guide based on the sound intensity values ​​of each received fifth sub-signal. The calculation formula is:

[0061] ,

[0062] In the formula, is the first sound intensity change rate;

[0063] The second target terminal calculates the second sound intensity change rate based on the sound intensity values ​​of each received fifth sub-signal, which can reflect the movement of the tourist wearing the second target terminal relative to the tour guide. The calculation formula is:

[0064] ,

[0065] In the formula, a second sound intensity change rate calculated for the j-th second target terminal;

[0066] The guide terminal determines the risk level of loss of the tourist wearing the first target terminal based on the first sound intensity change rate and the second sound intensity change rate sent by each of the second target terminals, including:

[0067] The tour guide terminal calculates the second sound intensity average change rate based on the second sound intensity change rate sent by each of the second target terminals:

[0068] ,

[0069] In the formula, is the average change rate of the second sound intensity;

[0070] When the first sound intensity change rate and the second sound intensity average change rate are both positive numbers, and the first sound intensity change rate is less than the second sound intensity average change rate, the tour guide terminal determines that the risk level of the tourist wearing the first target terminal is high risk;

[0071] When the first sound intensity change rate and the second sound intensity average change rate are both negative numbers, and the first sound intensity change rate is less than the second sound intensity average change rate, the tour guide terminal determines that the risk level of the tourist wearing the first target terminal is high risk;

[0072] When the first sound intensity change rate is a negative number, and the second sound intensity average change rates are both positive numbers, the tour guide terminal determines that the risk level of the tourist wearing the first target terminal to be lost is high risk.

[0073] Preferably, the tour guide terminal determines the risk level of loss of the tourist wearing the first target terminal based on the first sound signal and the second sound signal, and then further includes:

[0074] When the risk level of the tourist wearing the first target terminal to get lost is high risk, the tour guide terminal generates and displays warning information.

[0075] The present invention also proposes a tourism safety management system for the elderly based on big data, and applies a tourism safety management method for the elderly based on big data; the system includes a user terminal, a tour guide terminal, a management terminal and a server; the user terminal, the management terminal and the tour guide terminal are all communicatively connected to the server; the user terminal is worn by the user; and the tour guide terminal is carried by the tour guide.

[0076] Through the above technical solution, the following beneficial effects can be achieved:

[0077] The present invention proposes a method for managing elderly tourism safety based on big data, which can take targeted safety precautions against the situation that elderly people are prone to get lost when traveling in a group; firstly, the tourist lost prediction model and the actual tourism information corresponding to each tourist are used to obtain the prediction results corresponding to each tourist output by the tourist lost prediction model, and the user terminal worn by the tourist with the estimated result as the lost tourist is marked as the first target terminal, and then the other user terminals are marked as the second target terminals; then the tour guide terminal obtains the first sound signal emitted by the first target terminal and the second sound signal emitted by the second target terminal; because the tourist wearing the first target terminal The distance between the tourist wearing the first target terminal and the tour guide is negatively correlated with the intensity value of the first sound signal received by the tour guide terminal. The distance between the tourist wearing the second target terminal and the tour guide is negatively correlated with the intensity value of the second sound signal received by the tour guide terminal. Therefore, the tour guide terminal can determine the distance of the tourist wearing the first target terminal relative to the tour guide, and the distance of the tourist wearing the second target terminal relative to the tour guide based on the first sound signal and the second sound signal, and then more accurately determine the risk level of loss of the tourist wearing the first target terminal, so as to timely warn tourists with high risk of loss, and avoid the loss of elderly people when traveling in a group as much as possible. BRIEF DESCRIPTION OF THE DRAWINGS

[0078] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying creative work.

[0079] Figure 1 This is a flowchart of the steps of the first embodiment of the method for elderly travel safety management based on big data proposed by the present invention. DETAILED DESCRIPTION

[0080] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0081] The present invention proposes a travel safety management method and system for the elderly based on big data.

[0082] As attached Figure 1As shown, in a first embodiment of a method for elderly tourism safety management based on big data proposed by the present invention, the method is applied to an elderly tourism safety management system based on big data; the system includes a user terminal, a tour guide terminal, a management terminal and a server; the user terminal, the management terminal and the tour guide terminal are all communicatively connected to the server; the user terminal is worn by the user; the tour guide terminal is carried by the tour guide; this embodiment includes the following steps:

[0083] Step S110: The server constructs a tourist lost prediction model and performs training.

[0084] Step S120: The server obtains actual travel information corresponding to each tourist, wherein the actual travel information includes the actual weather information of the day uploaded by the tour guide through the tour guide terminal, the actual age of each tourist, and the actual flow of people in the scenic area on the day uploaded by the scenic area manager through the management terminal.

[0085] Specifically, when a tour guide leads a group to travel in a scenic spot, relevant factors for people getting lost include the actual age of the tourists, the actual weather information on that day, and the actual flow of people in the scenic spot on that day; the older the actual age, the easier it is to get lost; the worse the weather conditions, the easier it is to get lost; and the more people there are in the scenic spot, the easier it is to get lost.

[0086] Step S130: the server inputs the actual travel information into the trained tourist lost prediction model to obtain an estimated result output by the tourist lost prediction model, wherein the estimated result is any one of estimated lost and estimated normal.

[0087] Step S140: the server marks the user terminal worn by the tourist estimated to be lost as the first target terminal, and marks other user terminals as the second target terminals.

[0088] Specifically, through the tourist lost prediction model, it can be known that the risk of tourists corresponding to the first target terminal being lost is higher, and the risk of tourists corresponding to the remaining second target terminals being lost is lower.

[0089] Step S150: the tour guide terminal obtains the first sound signal sent by the first target terminal and the second sound signal sent by the second target terminal.

[0090] Step S160: The tour guide terminal determines the risk level of getting lost of the tourist wearing the first target terminal based on the first sound signal and the second sound signal, wherein the risk level of getting lost is high risk or low risk.

[0091] Specifically, the distance between the tourist wearing the first target terminal and the tour guide is negatively correlated with the intensity value of the first sound signal received by the tour guide terminal, and the distance between the tourist wearing the second target terminal and the tour guide is negatively correlated with the intensity value of the second sound signal received by the tour guide terminal; therefore, the tour guide terminal can determine the relative position of the tourist wearing the first target terminal based on the first sound signal sent by the first target terminal, and determine the relative position of the tourist wearing the second target terminal based on the second sound signal sent by the second target terminal; if the tourist wearing the first target terminal is farther away from the tour guide than the tourist wearing the second target terminal, the risk level of the tourist wearing the first target terminal is high risk; in this way, the risk level of the tourist wearing the first target terminal can be determined, so that timely warning can be given to tourists with high risk of getting lost.

[0092] The present invention proposes a method for managing elderly tourism safety based on big data, which can take targeted safety precautions against the situation that elderly people are prone to get lost when traveling in a group; firstly, the tourist lost prediction model and the actual tourism information corresponding to each tourist are used to obtain the prediction results corresponding to each tourist output by the tourist lost prediction model, and the user terminal worn by the tourist with the estimated result as the lost tourist is marked as the first target terminal, and then the other user terminals are marked as the second target terminals; then the tour guide terminal obtains the first sound signal emitted by the first target terminal and the second sound signal emitted by the second target terminal; because the tourist wearing the first target terminal The distance between the tourist wearing the first target terminal and the tour guide is negatively correlated with the intensity value of the first sound signal received by the tour guide terminal. The distance between the tourist wearing the second target terminal and the tour guide is negatively correlated with the intensity value of the second sound signal received by the tour guide terminal. Therefore, the tour guide terminal can determine the distance of the tourist wearing the first target terminal relative to the tour guide, and the distance of the tourist wearing the second target terminal relative to the tour guide based on the first sound signal and the second sound signal, and then more accurately determine the risk level of loss of the tourist wearing the first target terminal, so as to timely warn tourists with high risk of loss, and avoid the loss of elderly people when traveling in a group as much as possible.

[0093] In addition, tourists can also use smart terminals to self-service and view and place orders for travel products provided by the management platform (i.e., the travel product service agency that uses the management terminal), which is more efficient and convenient. During the tour, the user terminal can also obtain the user's location and main health information (such as heart rate, blood pressure, pulse, etc.) in real time, and feed it back to the tour guide terminal.

[0094] In a second embodiment of a method for elderly travel safety management based on big data proposed by the present invention, based on the first embodiment, step S110 includes the following steps:

[0095] Step S210: The server constructs a tourist lost prediction model.

[0096] Step S220: The server obtains historical travel information corresponding to each tourist within a first preset period of time in the past (for example, the past year), wherein the historical travel information includes the tourist's age, historical weather information of the day, historical flow of people in the scenic area on the day, and whether the tourist is lost. The historical flow of people in the scenic area on the day is uploaded to the server by the scenic area manager through the management terminal.

[0097] Step S230: The server uses the age of tourists in the historical travel information, the historical weather information of the day, and the historical flow of people in the scenic spot on the day as input parameters of the tourist lost prediction model, and uses whether the tourists in the historical travel information are lost as the output parameter of the tourist lost prediction model for training.

[0098] Specifically, the present invention provides a specific solution for how to construct and train a tourist lost prediction model.

[0099] In a third embodiment of a method for managing elderly travel safety based on big data proposed by the present invention, based on the first embodiment, the number of the second target terminals is multiple; the first sound signal and the second sound signal are both ultrasonic signals (ultrasonic signals in the external environment are less than other interfering sound signals, thereby reducing other noise interference); the user terminal includes an ultrasonic speaker; the tour guide terminal includes a sound sensor for receiving sound signals; step S150 includes the following steps:

[0100] Step S310: The first target terminal sends a first sound signal through an ultrasonic speaker so that the tour guide terminal receives the first sound signal, wherein the duration of the first sound signal is a second preset duration (e.g., 3 seconds), and the intensity value of the first sound signal is a preset intensity value (e.g., 80 decibels).

[0101] Step S320: Each of the second target terminals sequentially sends out a second sound signal through an ultrasonic speaker, so that the tour guide terminal sequentially receives the second sound signal sent by each of the second target terminals, wherein the duration of the second sound signal is a second preset duration, and the intensity value of the second sound signal is a preset intensity value.

[0102] Specifically, it should be noted that the first target terminal and the second target terminal do not send out sound signals at the same time to avoid interference with each other, and the second target terminals do not send out sound signals at the same time to avoid interference with each other.

[0103] Step S150 includes the following steps:

[0104] Step S330: the tour guide terminal calculates an average intensity value of the received first sound signal within a second preset time period, and marks it as a first average intensity value.

[0105] Step S340: the tour guide terminal calculates an average intensity value of each received second sound signal within a second preset time period, and marks it as a second average intensity value corresponding to each second sound signal.

[0106] Step S350: The tour guide terminal determines the risk level of loss of the tourist wearing the first target terminal based on the first average intensity value and the second average intensity value.

[0107] Specifically, the distance between a tourist wearing the first target terminal and the tour guide is negatively correlated with the intensity value of the first sound signal received by the tour guide terminal, and the distance between a tourist wearing the second target terminal and the tour guide is negatively correlated with the intensity value of the second sound signal received by the tour guide terminal; therefore, the tour guide terminal can determine the distance of the tourist wearing the first target terminal relative to the tour guide, as well as the distance of the tourist wearing the second target terminal relative to the tour guide based on the first sound signal and the second sound signal, thereby more accurately determining the risk level of the tourist wearing the first target terminal to be lost.

[0108] In a fourth embodiment of a method for elderly travel safety management based on big data proposed by the present invention, based on the third embodiment, step S350 includes the following steps:

[0109] Step S410: The tour guide terminal calculates a first difference ratio based on the first average intensity value and the second average intensity value, which can reflect the distance difference between the tourist wearing the first target terminal and the tour guide, and the tourist wearing the second target terminal and the tour guide:

[0110] ,

[0111] In the formula, is the first difference ratio; is the first average intensity value; is the second average intensity value corresponding to the j-th second sound signal, j is a positive integer less than or equal to J, and J is the total number of second sound signals received by the tour guide terminal.

[0112] Specifically, since the sound intensity is inversely proportional to the square of the distance, the average distance between the tourists wearing the first target terminal and the tour guide is set as the second distance, then the first difference ratio here is: the ratio of the distance between the tourists wearing the first target terminal and the tour guide to the average distance between the tourists wearing the second target terminal and the tour guide.

[0113] Step S420: When the first difference ratio is greater than a first preset value (eg, 2), the tour guide terminal determines that the risk level of getting lost of the tourist wearing the first target terminal is high risk.

[0114] Therefore, the larger the first difference ratio is, the greater the distance between the tourist wearing the first target terminal and the tour guide is than the average distance between the tourist wearing the second target terminal and the tour guide; therefore, when the first difference ratio is greater than the first preset value, it means that the tourist wearing the first target terminal is far away from the tour guide alone and is prone to getting lost, so the risk level of getting lost of the tourist wearing the first target terminal is determined to be high risk.

[0115] In a fifth embodiment of a method for managing elderly travel safety based on big data proposed by the present invention, based on the third embodiment, the user terminal further includes a sound sensor for receiving sound signals; step S140, and then further includes the following steps:

[0116] Step S501: the first target terminal sends a third sound signal through an ultrasonic speaker, wherein the duration of the third sound signal is a second preset duration, and the intensity value of the third sound signal is a preset intensity value.

[0117] Step S502: Each of the second target terminals receives the third sound signal respectively, and calculates an average strength value of the received third sound signal within a second preset time period, and marks it as a third average strength value, wherein: The third average strength value calculated for the j-th second target terminal, where j is a positive integer less than or equal to J, and J is the total number of the second target terminals.

[0118] Specifically, the third average intensity value corresponding to the third sound signal received by each second target terminal here can reflect the distance between each second target terminal and the first target terminal; the larger the third average intensity value, the smaller the distance between each second target terminal and the first target terminal; conversely, the larger the distance between each second target terminal and the first target terminal.

[0119] Step S503: each of the second target terminals sends the calculated third average intensity value to the server.

[0120] Step S504: The server sets j=1.

[0121] Step S505: The server controls the jth second target terminal to emit a fourth sound signal through the ultrasonic speaker so that the remaining second target terminals receive the fourth sound signal, wherein the duration of the fourth sound signal is the second preset duration, and the intensity value of the fourth sound signal is the preset intensity value.

[0122] Step S506: The remaining second target terminals calculate the average strength value of the received fourth sound signal within the second preset time length, and mark it as the fourth average strength value corresponding to the fourth sound signal, where: The fourth average intensity value corresponding to the fourth sound signal emitted by the j-th second target terminal is calculated for the k-th remaining second target terminal, where k is a positive integer less than or equal to J-1.

[0123] Specifically, the fourth average strength value calculated by the second target terminal (except the jth second target terminal, the remaining kth second target terminals) can reflect the distance between the jth second target terminal and the second target terminal; the larger the fourth average strength value, the smaller the distance between the jth second target terminal and the second target terminal; conversely, the larger the distance between the jth second target terminal and the second target terminal.

[0124] Step S507: the remaining second target terminals send the calculated fourth average intensity values ​​to the server.

[0125] Step S508: The server sets j=j+1 and determines whether j>J holds.

[0126] If yes, step S509 is executed: the server calculates a normal average intensity value that can reflect the distance between visitors wearing the second target terminals based on all the fourth average intensity values.

[0127] If not, execute step S505 and subsequent steps.

[0128] Specifically, steps S505-S509 enable each second target terminal to sequentially obtain the average strength value of the fourth sound signal sent by the other second target terminals (i.e., the fourth average strength value, which can reflect the distance between the other second target terminals and the home of the second target terminal).

[0129] At the same time, the normal average intensity value that can reflect the distance between the visitors wearing the second target terminals can be obtained by averaging all the fourth average intensity values ​​obtained above.

[0130] Step S510: The server calculates a second difference ratio that can reflect the distance between the tourist wearing the first target terminal and other tourists based on the normal average intensity value and the third average intensity value.

[0131] Step S511: the server determines the risk level of loss of the tourist wearing the first target terminal based on the second difference ratio.

[0132] Specifically, since the third average intensity value can reflect the distance between each second target terminal and the first target terminal (that is, the distance between each tourist wearing the second target terminal and the tourist wearing the first target terminal), and the normal intensity average value can reflect the distance between the tourists wearing the second target terminals, the second difference ratio reflecting the distance between the tourist wearing the first target terminal and other tourists can be calculated based on the normal average intensity value and the third average intensity value; and then the risk level of lost of the tourist wearing the first target terminal is determined based on the second difference ratio.

[0133] In a sixth embodiment of a method for elderly tourism safety management based on big data proposed by the present invention, based on the fifth embodiment, the server calculates the normal average intensity value that can reflect the distance between tourists wearing the second target terminal based on all the fourth average intensity values. The calculation formula is:

[0134] ,

[0135] In the formula, is the normal average intensity value.

[0136] Specifically, the normal intensity average value here is the average value of all fourth average intensity values.

[0137] The server calculates a second difference ratio based on the normal average intensity value and the third average intensity value, which can reflect the distance between the tourist wearing the first target terminal and other tourists. The calculation formula is:

[0138] ,

[0139] In the formula, is the second difference ratio.

[0140] Specifically, this embodiment provides a specific calculation formula for the second difference ratio. The smaller the second difference ratio is, the smaller the ratio between the third average intensity value and the normal average intensity value is, which means that the distance between each second target terminal and the first target terminal is greater than the average distance between each second target terminal and other second target terminals. Therefore, it means that the first target terminal is far away from the "tour group", which is prone to getting lost.

[0141] The server determines the risk level of loss of the tourist wearing the first target terminal based on the second difference ratio, including the following steps:

[0142] Step S610: When the second difference ratio is less than a second preset value (eg, 0.7), the server determines that the risk level of getting lost of the visitor wearing the first target terminal is high risk.

[0143] Specifically, based on the above analysis, in this embodiment, the second preset value is set to 0.7. When the second difference ratio is less than the second preset value, it means that the distance between each second target terminal and the first target terminal is greater than the average distance between each second target terminal and other second target terminals. Therefore, it means that the first target terminal is far away from the "tour group", which means that it is easy to get lost. Therefore, the risk level of getting lost for tourists wearing the first target terminal is high.

[0144] In a seventh embodiment of a method for elderly travel safety management based on big data proposed by the present invention, based on the fifth embodiment, the tour guide terminal further includes an ultrasonic speaker for emitting a sound signal; the sampling period of the sound sensor of the user terminal is a third preset time length (for example, 0.1 seconds); the third preset time length is less than the second preset time length, and the second preset time length is an integer multiple of the third preset time length (30 times in this embodiment); step S410, and then further includes the following steps:

[0145] Step S701: When the first difference ratio is greater than the first preset value, the tour guide terminal sends out a fifth sound signal through the ultrasonic speaker, wherein the duration of the fifth sound signal is the second preset duration, and the intensity value of the fifth sound signal is the preset intensity value. When the tour guide terminal sends out the fifth sound signal, the tour guide approaches the position of the tourist body (i.e., the tour guide approaches the tourists).

[0146] Specifically, when the first difference ratio is greater than the first preset value, it means that the tourist wearing the first target terminal is alone and far away from the tour guide and is prone to getting lost. However, in order to prevent misjudgment, the tourist wearing the first target terminal can be further verified to determine whether the risk level of getting lost of the tourist wearing the first target terminal is indeed high risk.

[0147] Therefore, the tour guide approaches the location of the main body of tourists, and at the same time, the tour guide terminal sends a fifth sound signal through the ultrasonic speaker, and both the first target terminal and the second target terminal can receive the fifth sound signal; by analyzing the fifth sound signal received by the first target terminal and the fifth sound signal received by the second target terminal, it is possible to judge the movement trend between the tourist wearing the first target terminal and the tour guide, as well as the movement trend between the tourist wearing the second target terminal and the tour guide, so as to further determine whether the risk level of the tourist wearing the first target terminal is indeed high risk.

[0148] Step S702: The first target terminal receives a fifth sound signal, wherein the fifth sound signal received by the first target terminal includes a preset number of fifth sub-signals, the value of which is , is the second preset duration, The third preset duration.

[0149] Specifically, the preset number in this embodiment is set to 30.

[0150] Step S703: The first target terminal obtains the sound intensity value of each received fifth sub-signal, where: is the sound intensity value of the hth fifth sub-signal received by the first target terminal, where h is less than or equal to A positive integer.

[0151] Specifically, since the sampling period of the sound sensor is the third preset time length, after the first target terminal receives the fifth sound signal, it actually receives In this embodiment, the sound intensity value of the hth fifth sub-signal received by the first target terminal is recorded as .

[0152] Step S704: the first target terminal calculates a first sound intensity change rate that can reflect the movement of the tourist wearing the first target terminal relative to the tour guide based on the sound intensity values ​​of each received fifth sub-signal.

[0153] Specifically, the first sound intensity change rate here can reflect the change of the fifth sub-signal received by the first target terminal; when the first sound intensity change rate is positive, it means that the fifth sub-signal received by the first target terminal is gradually increasing, that is, the distance between the tour guide and the tourist wearing the first target terminal is gradually decreasing during the process of the tour guide terminal sending the fifth sound signal, so the probability of the tourist wearing the first target terminal getting lost is actually not high.

[0154] On the contrary, when the first sound intensity change rate is negative, it means that the fifth sub-signal received by the first target terminal is getting smaller and smaller, that is, the distance between the tour guide and the tourist wearing the first target terminal is gradually increasing during the process of the tour guide terminal sending the fifth sound signal, so the probability of the tourist wearing the first target terminal getting lost is further increased.

[0155] Step S705: the first target terminal sends the first sound intensity change rate to the tour guide terminal.

[0156] Step S706: the second target terminal receives a fifth sound signal, wherein the fifth sound signal received by the second target terminal includes a preset number of fifth sub-signals.

[0157] Step S707: The second target terminal obtains the sound intensity value of each received fifth sub-signal, where: is the sound intensity value of the hth fifth sub-signal received by the jth second target terminal, j is a positive integer less than or equal to J, and J is the total number of the second target terminals.

[0158] Specifically, since the sampling period of the sound sensor is the third preset time length, after the second target terminal receives the fifth sound signal, it actually receives Since there are multiple second target terminals, in this embodiment, the sound intensity value of the hth fifth sub-signal received by the jth second target terminal is recorded as .

[0159] Step S708: the second target terminal calculates a second sound intensity change rate that can reflect the movement of the tourist wearing the second target terminal relative to the tour guide based on the sound intensity values ​​of the received fifth sub-signals.

[0160] Specifically, the second sound intensity change rate here can reflect the change of the fifth sub-signal received by the second target terminal; when the second sound intensity change rate is positive, it means that the fifth sub-signal received by the second target terminal is gradually increasing, that is, the distance between the tour guide and the tourist wearing the second target terminal is gradually decreasing during the process of the tour guide terminal sending the fifth sound signal.

[0161] On the contrary, when the second sound intensity change rate is negative, it means that the fifth sub-signal received by the second target terminal is gradually getting smaller, that is, the distance between the tour guide and the tourist wearing the second target terminal is gradually increasing during the process of the tour guide terminal sending the fifth sound signal.

[0162] Step S709: the second target terminal sends the second sound intensity change rate to the tour guide terminal.

[0163] Step S710: The tour guide terminal determines the risk level of getting lost of the tourist wearing the first target terminal based on the first sound intensity change rate and the second sound intensity change rate sent by each of the second target terminals.

[0164] Specifically, the movement trend between the tourist wearing the first target terminal and the tour guide can be determined by the first sound intensity change rate, and the movement trend between the tourist wearing the second target terminal and the tour guide can be determined by the second sound intensity change rate.

[0165] In an eighth embodiment of a method for elderly tourism safety management based on big data proposed by the present invention, based on the seventh embodiment, the first target terminal calculates the first sound intensity change rate that can reflect the movement of the tourist wearing the first target terminal relative to the tour guide based on the sound intensity value of each fifth sub-signal received. The calculation formula is:

[0166] ,

[0167] In the formula, is the first sound intensity change rate.

[0168] The second target terminal calculates the second sound intensity change rate based on the sound intensity values ​​of each received fifth sub-signal, which can reflect the movement of the tourist wearing the second target terminal relative to the tour guide. The calculation formula is:

[0169] ,

[0170] In the formula, The second sound intensity change rate calculated for the j-th second target terminal.

[0171] Specifically, in this embodiment, specific calculation formulas for the first sound intensity change rate and the second sound intensity change rate are provided.

[0172] Step S710 includes the following steps:

[0173] Step S810: the tour guide terminal calculates the average change rate of the second sound intensity based on the change rate of the second sound intensity sent by each of the second target terminals:

[0174] ,

[0175] In the formula, is the average change rate of the second sound intensity.

[0176] Specifically, the second sound intensity average change rate here is an average value of the second sound intensity change rates corresponding to each second target terminal.

[0177] Step S820: When the first sound intensity change rate and the second sound intensity average change rate are both positive numbers, and the first sound intensity change rate is less than the second sound intensity average change rate, the tour guide terminal determines that the risk level of getting lost of the tourist wearing the first target terminal is high risk.

[0178] Specifically, when the first sound intensity change rate and the second sound intensity average change rate are both positive numbers, and the first sound intensity change rate is less than the second sound intensity average change rate; it means that the movement trends of the tourist wearing the first target terminal and the tourist wearing the second target terminal are both approaching the tour guide, but the approach speed of the first target terminal is less than the average approach speed of other tourists. Therefore, it is determined that the tourist wearing the first target terminal does have a risk of getting lost, and the risk level of getting lost for the tourist wearing the first target terminal is determined to be high risk.

[0179] Step S830: When the first sound intensity change rate and the second sound intensity average change rate are both negative, and the first sound intensity change rate is less than the second sound intensity average change rate, the tour guide terminal determines that the risk level of getting lost of the tourist wearing the first target terminal is high risk.

[0180] Specifically, when the first sound intensity change rate and the second sound intensity average change rate are both negative, and the first sound intensity change rate is less than the second sound intensity average change rate; it means that the movement trends of the tourist wearing the first target terminal and the tourist wearing the second target terminal are both away from the tour guide, but the moving speed of the first target terminal is greater than the average moving speed of other tourists. Therefore, it is determined that the tourist wearing the first target terminal does have a risk of getting lost, and the risk level of getting lost for the tourist wearing the first target terminal is determined to be high risk.

[0181] Step S840: When the first sound intensity change rate is a negative number, and the second sound intensity average change rates are both positive numbers, the tour guide terminal determines that the risk level of the tourist wearing the first target terminal is high risk.

[0182] Specifically, when the first sound intensity change rate is a negative number, and the second sound intensity average change rate is a positive number, it means that the movement trend of the tourists wearing the first target terminal is away from the tour guide, while the movement trend of the tourists wearing the second target terminal is close to the tour guide. Therefore, it is determined that the tourists wearing the first target terminal do have a risk of getting lost, and the risk level of getting lost for the tourists wearing the first target terminal is determined to be high risk.

[0183] In a ninth embodiment of a method for elderly tourism safety management based on big data proposed by the present invention, based on the first embodiment, the tour guide terminal determines the risk level of loss of a tourist wearing the first target terminal based on the first sound signal and the second sound signal, and then further includes:

[0184] Step S910: When the risk level of the tourist wearing the first target terminal to get lost is high risk, the tour guide terminal generates and displays warning information.

[0185] The present invention also proposes a tourism safety management system for the elderly based on big data, and applies a tourism safety management method for the elderly based on big data; the system includes a user terminal, a tour guide terminal, a management terminal and a server; the user terminal, the management terminal and the tour guide terminal are all communicatively connected to the server; the user terminal is worn by the user; and the tour guide terminal is carried by the tour guide.

[0186] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0187] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation modes, which are merely illustrative rather than restrictive. Under the guidance of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the present invention and the claims, all of which are within the protection of the present invention.

Claims

1. A travel safety management method for the elderly based on big data, characterized in that: Applicable to a tourism safety management system for the elderly based on big data; the system comprises a user terminal, a tour guide terminal, a management terminal and a server; the user terminal, the management terminal and the tour guide terminal are all communicatively connected to the server; The user terminal is worn by the user; The tour guide terminal is carried by the tour guide; The method comprises: The server constructs and trains a tourist lost prediction model; The server obtains actual travel information corresponding to each tourist, wherein the actual travel information includes actual weather information of the day uploaded by the tour guide through the tour guide terminal, the actual age of each tourist, and the actual flow of people in the scenic spot on the day uploaded by the scenic spot manager through the management terminal; The server inputs actual travel information into the trained tourist lost prediction model to obtain an estimated result output by the tourist lost prediction model, wherein the estimated result is any one of estimated lost and estimated normal; The server marks the user terminal worn by the tourist whose estimated result is that he is lost as the first target terminal, and marks other user terminals as the second target terminals; The tour guide terminal respectively obtains a first sound signal sent by the first target terminal and a second sound signal sent by the second target terminal; The tour guide terminal determines the risk level of loss of the tourist wearing the first target terminal based on the first sound signal and the second sound signal, wherein the risk level of loss is high risk or low risk; The number of the second target terminals is multiple; the first sound signal and the second sound signal are both ultrasonic signals; the user terminal includes an ultrasonic speaker; the tour guide terminal includes a sound sensor for receiving sound signals; the tour guide terminal respectively obtains the first sound signal sent by the first target terminal and the second sound signal sent by the second target terminal, including: The first target terminal sends a first sound signal through an ultrasonic speaker, so that the tour guide terminal receives the first sound signal, wherein the duration of the first sound signal is a second preset duration, and the intensity value of the first sound signal is a preset intensity value; Each of the second target terminals sequentially sends out a second sound signal through an ultrasonic speaker, so that the tour guide terminal sequentially receives the second sound signal sent by each of the second target terminals, wherein the duration of the second sound signal is a second preset duration, and the intensity value of the second sound signal is a preset intensity value; The guide terminal determines the risk level of loss of a tourist wearing the first target terminal based on the first sound signal and the second sound signal, including: The tour guide terminal calculates an average intensity value of the received first sound signal within a second preset time period and marks it as a first average intensity value; The tour guide terminal calculates an average intensity value of each second sound signal received within a second preset time period, and marks the average intensity value as a second average intensity value corresponding to each second sound signal; The tour guide terminal determines the risk level of getting lost of the tourist wearing the first target terminal based on the first average intensity value and the second average intensity value.

2. According to the big data-based elderly tourism safety management method of claim 1, it is characterized in that: The server constructs and trains a tourist lost prediction model, including: The server constructs a tourist lost prediction model; The server obtains historical travel information corresponding to each tourist within a first preset time period in the past, wherein the historical travel information includes the tourist's age, historical weather information on the day, historical flow of people in the scenic spot on the day, and whether the tourist is lost, wherein the historical flow of people in the scenic spot on the day is uploaded to the server by the scenic spot manager through the management terminal; The server uses the age of tourists in the historical travel information, the historical weather information of the day, and the historical flow of people in the scenic spot on the day as input parameters of the tourist lost prediction model, and uses whether the tourists in the historical travel information are lost as the output parameter of the tourist lost prediction model for training.

3. According to the big data-based elderly tourism safety management method of claim 1, it is characterized in that: The guide terminal determines the risk level of loss of the tourist wearing the first target terminal based on the first average intensity value and the second average intensity value, including: The tour guide terminal calculates a first difference ratio that can reflect the distance difference between the tourist wearing the first target terminal and the tour guide, and between the tourist wearing the second target terminal and the tour guide based on the first average intensity value and the second average intensity value: ， In the formula, is the first difference ratio; is the first average intensity value; is the second average intensity value corresponding to the j-th second sound signal, j is a positive integer less than or equal to J, and J is the total number of second sound signals received by the tour guide terminal; When the first difference ratio is greater than a first preset value, the tour guide terminal determines that the risk level of getting lost of the tourist wearing the first target terminal is high risk.

4. The method for elderly travel safety management based on big data according to claim 1 is characterized in that: The user terminal also includes a sound sensor for receiving sound signals; the server marks the user terminal worn by the tourist estimated to be lost as the first target terminal, and marks other user terminals as the second target terminal, and then further includes: The first target terminal sends a third sound signal through the ultrasonic speaker, wherein the duration of the third sound signal is the second preset duration, and the intensity value of the third sound signal is the preset intensity value; Each of the second target terminals receives the third sound signal respectively, and calculates an average strength value of the received third sound signal within a second preset time length, and marks it as a third average strength value, wherein, is a third average strength value calculated for the j-th second target terminal, where j is a positive integer less than or equal to J, and J is the total number of second target terminals; Each of the second target terminals sends the calculated third average strength value to the server; The server sets j=1; The server controls the j-th second target terminal to emit a fourth sound signal through the ultrasonic speaker, so that the remaining second target terminals receive the fourth sound signal, wherein the duration of the fourth sound signal is the second preset duration, and the intensity value of the fourth sound signal is the preset intensity value; The remaining second target terminals calculate the average strength value of the received fourth sound signal within the second preset time length, and mark it as the fourth average strength value corresponding to the fourth sound signal, where: a fourth average intensity value corresponding to the fourth sound signal emitted by the j-th second target terminal calculated for the k-th remaining second target terminal, where k is a positive integer less than or equal to J-1; The remaining second target terminals send the calculated fourth average strength values ​​to the server; The server sets j=j+1 and determines whether j>J holds; If yes, the server calculates a normal average intensity value that can reflect the distance between visitors wearing the second target terminal based on all the fourth average intensity values; If not, executing the server controlling the j-th second target terminal to send a fourth sound signal through the ultrasonic speaker, so that the remaining second target terminals receive the fourth sound signal, and subsequent steps; The server calculates a second difference ratio that can reflect the distance between the tourist wearing the first target terminal and other tourists based on the normal average intensity value and the third average intensity value; The server determines the risk level of loss of the visitor wearing the first target terminal based on the second difference ratio.

5. The method for elderly travel safety management based on big data according to claim 4 is characterized in that: The server calculates the normal average intensity value based on all the fourth average intensity values ​​to reflect the distance between the visitors wearing the second target terminal: ， In the formula, is the normal average intensity value; The server calculates a second difference ratio based on the normal average intensity value and the third average intensity value, which can reflect the distance between the tourist wearing the first target terminal and other tourists. The calculation formula is: ， In the formula, is the second difference ratio; The server determines the risk level of loss of the tourist wearing the first target terminal based on the second difference ratio, including: When the second difference ratio is less than a second preset value, the server determines that the risk level of getting lost of the visitor wearing the first target terminal is high risk.

6. The method for elderly travel safety management based on big data according to claim 4 is characterized in that: The tour guide terminal further includes an ultrasonic speaker for emitting a sound signal; the sampling period of the sound sensor of the user terminal is a third preset time length; the third preset time length is less than the second preset time length, and the second preset time length is an integer multiple of the third preset time length; The tour guide terminal calculates a first difference ratio that can reflect the distance difference between a tourist wearing the first target terminal and the tour guide, and a tourist wearing the second target terminal and the tour guide based on the first average intensity value and the second average intensity value, and then further includes: When the first difference ratio is greater than a first preset value, the tour guide terminal sends a fifth sound signal through the ultrasonic speaker, wherein the duration of the fifth sound signal is the second preset duration, and the intensity of the fifth sound signal is the preset intensity value. When the tour guide terminal sends the fifth sound signal, the tour guide moves closer to the location of the tourist body; The first target terminal receives a fifth sound signal, wherein the fifth sound signal received by the first target terminal includes a preset number of fifth sub-signals, and the value of the preset number is , is the second preset duration, The third preset duration; The first target terminal obtains the sound intensity value of each received fifth sub-signal, wherein: is the sound intensity value of the hth fifth sub-signal received by the first target terminal, where h is less than or equal to A positive integer of ; The first target terminal calculates a first sound intensity change rate that can reflect the movement of the tourist wearing the first target terminal relative to the tour guide based on the sound intensity values ​​of each received fifth sub-signal; The first target terminal sends the first sound intensity change rate to the tour guide terminal; The second target terminal receives a fifth sound signal, wherein the fifth sound signal received by the second target terminal includes a preset number of fifth sub-signals; The second target terminal obtains the sound intensity value of each received fifth sub-signal, wherein: is the sound intensity value of the hth fifth sub-signal received by the jth second target terminal, where j is a positive integer less than or equal to J, and J is the total number of second target terminals; The second target terminal calculates a second sound intensity change rate that can reflect the movement of the tourist wearing the second target terminal relative to the tour guide based on the sound intensity values ​​of each received fifth sub-signal; The second target terminal sends the second sound intensity change rate to the tour guide terminal; The tour guide terminal determines the risk level of the tourist wearing the first target terminal for getting lost based on the first sound intensity change rate and the second sound intensity change rate sent by each of the second target terminals.

7. The method for managing elderly people's travel safety based on big data according to claim 6 is characterized in that: The first target terminal calculates the first sound intensity change rate that can reflect the movement of the tourist wearing the first target terminal relative to the tour guide based on the sound intensity values ​​of each received fifth sub-signal. The calculation formula is: ， In the formula, is the first sound intensity change rate; The second target terminal calculates the second sound intensity change rate based on the sound intensity values ​​of each received fifth sub-signal, which can reflect the movement of the tourist wearing the second target terminal relative to the tour guide. The calculation formula is: In the formula, a second sound intensity change rate calculated for the j-th second target terminal; The guide terminal determines the risk level of loss of the tourist wearing the first target terminal based on the first sound intensity change rate and the second sound intensity change rate sent by each of the second target terminals, including: The tour guide terminal calculates the second sound intensity average change rate based on the second sound intensity change rate sent by each of the second target terminals: ， In the formula, is the average change rate of the second sound intensity; When the first sound intensity change rate and the second sound intensity average change rate are both positive numbers, and the first sound intensity change rate is less than the second sound intensity average change rate, the tour guide terminal determines that the risk level of the tourist wearing the first target terminal is high risk; When the first sound intensity change rate and the second sound intensity average change rate are both negative numbers, and the first sound intensity change rate is less than the second sound intensity average change rate, the tour guide terminal determines that the risk level of the tourist wearing the first target terminal is high risk; When the first sound intensity change rate is a negative number, and the second sound intensity average change rates are both positive numbers, the tour guide terminal determines that the risk level of the tourist wearing the first target terminal to be lost is high risk.

8. The method for elderly travel safety management based on big data according to claim 1 is characterized in that: The guide terminal determines the risk level of loss of the tourist wearing the first target terminal based on the first sound signal and the second sound signal, and then further includes: When the risk level of the tourist wearing the first target terminal to get lost is high risk, the tour guide terminal generates and displays warning information.

9. A big data-based elderly tourism safety management system, characterized in that: The big data-based elderly tourism safety management method described in any one of claims 1 to 8 is applied; the system includes a user terminal, a tour guide terminal, a management terminal and a server; the user terminal, the management terminal and the tour guide terminal are all communicatively connected to the server; the user terminal is worn by the user; and the tour guide terminal is carried by the tour guide.

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