CN117252731A - Portable travel service system - Google Patents
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Abstract
The invention provides a portable travel service system, which comprises a client, a server and a server, wherein the client is configured to carry out service contact with a participant, and acquire a plurality of personal information and perception data about the participant, which are required by the service system; the client comprises a perception module and a tour guide module, wherein the perception module is used for acquiring perception data of a participant in the travelling process and evaluating an actual satisfaction value of the participant; and the service system further comprises a server which is configured to be in communication connection with the client, receives the personal information and the perception data acquired by the client, and generates satisfaction degrees based on a plurality of participants in the team based on the acquired personal information and the perception data of the participants, so that the sum of expected satisfaction values of a plurality of participants in the team is a larger value; and further comprising, when necessary, after grouping one team into two or more sub-teams, generating a corresponding travel route for each sub-team process.
Description
Technical Field
The invention relates to the technical field of systems in the utility or travel industry. And more particularly to a portable travel service system.
Background
The traditional travel group setting is based on the consideration of various aspects such as cost, management, communication and the like, generally adopts a large team to uniformly travel according to the travel preset by a travel agency, and has little consideration on the detail requirements of individual likes and dislikes or interests of travel participants, so that higher travel satisfaction is difficult to achieve.
According to the disclosed technical scheme, the technical scheme with the bulletin number of JP5316181B2 provides a travel participant management system, and whether the participant accords with a preset travel or not is judged by calculating the real-time travel and the real-time position of the participant, and warning information is sent to the participant under the condition that the travel is not met; the technical proposal with the publication number of US20140074747A1 provides a system for assisting tour guide personnel to work, which comprises a portable device arranged on the tour guide personnel, wherein the portable device can be used for answering the tour guide call in real time by the tour guide personnel and displaying the current position of the tour guide personnel; the technical scheme with the bulletin number of CN107426701B provides an intelligent voice tour guide system, and the tourists can make corresponding arrangement on subsequent routes in real time by feeding back a plurality of elements in the scenic spot to the tourists in real time.
The above solutions all provide several solutions for improving the experience of tourists, and for application in a plurality of travel groups that must be used as units by a team, related technical solutions still need to be provided.
The foregoing discussion of the background art is intended to facilitate an understanding of the present invention only. This discussion is not an admission or admission that any of the material referred to was common general knowledge.
Disclosure of Invention
The invention aims to provide a portable travel service system, which comprises a client, a server and a server, wherein the client is configured to conduct service connection with a participant, and acquire a plurality of personal information and perception data about the participant, which are required by the service system; the client comprises a perception module and a tour guide module, wherein the perception module is used for acquiring perception data of a participant in a travelling process and evaluating an actual satisfaction value of the participant; and, the service system further comprises a server configured to be communicatively connected with one or more of the clients, receive the personal information and the perceived data acquired by the clients, and generate a travel route based on the acquired personal information and perceived data of the participants, the travel route being based on travel objectives of a plurality of participants in a team such that a sum of expected satisfaction values of a plurality of participants in the team is a larger value; and further comprising, when necessary, regrouping one team to form at least two sub-teams, and processing each sub-team to generate a corresponding travel route.
The invention adopts the following technical scheme:
a portable travel service system, the service system comprising:
the client is configured to conduct service contact with the participant and acquire a plurality of personal information and perception data about the participant, which are required by the service system; the client comprises a sensing module and a tour guide module which are operated;
the server is configured to be in communication connection with one or more clients and receive the personal information and the perception data acquired by the clients; processing generates a travel route arrangement based on travel targets of a plurality of participants in a team based on the acquired personal information and perception data of the participants; and further comprising, when necessary, regrouping one team to form at least two sub-teams, and processing each sub-team to generate a corresponding travel route;
wherein, the service system comprises a portable travel service method, and the service method comprises the following steps:
collecting, by the perception module, personal information about the participants prior to the tour, and based on first perceived data for each participant during the tour:
two or more tour guide modules lead the group to execute a travel of a travel route, and the perception module acquires second perception data based on the group in the travel process and feeds back the first perception data and the second perception data to the server;
the server dynamically updates the travel objective during travel based on personal information and awareness data of participants in a team and optimizes a current route based on the travel objective; the travel objective refers to an objective that enables the sum of expected satisfaction values of n percent of participants in a team to be optimized in subsequent travel routes;
the server sends the generated new route to a plurality of tour guide modules in real time, and the tour guide modules conduct tour guide service for participants according to the new route;
dividing the team into at least two sub-teams if necessary, and generating a corresponding new route for each sub-team, so that the participants of each sub-team continue traveling according to the corresponding new route of the respective sub-team;
preferably, the service system includes collecting personal information of the participant prior to travel; the personal information includes at least facial images, body measurement data, health features, character features, hobbies, and desired consumption levels;
and generating an initial route based on the personal information of the plurality of participants in the community;
preferably, the content of the travel route at least comprises a travel item and a stay time of the travel item in the route;
preferably, n has a value equal to or greater than 80;
preferably, the method for calculating the expected satisfaction E is as follows:
in the above formula, the expected satisfaction value E is calculated based on the evaluation and summation of satisfaction of each of the I indexes in a travel route by the participants; wherein s is i I.e. the expected evaluation value, k, of the ith index in the travel route by the participant i For calculating the weight value corresponding to the ith index, each k i The specific numerical value of (2) is set by related technicians according to the actual condition of the travel route;
preferably, optimizing the current travel route based on the travel target includes:
calculating a maximum E of the sum of expected satisfaction values of n percent of the participants in the team, which may be reached in the subsequent travel route max ；
Calculating n percent of participants in teamSum of expected satisfaction values of (a) reaches or exceeds h×e max Forming an optimal set of travel routes; wherein the value of h is equal to or greater than 0.9;
sending an optimal set of travel routes to a plurality of participants in a community and collecting feedback of the plurality of participants to generate a final said new route;
preferably, the service system includes evaluating satisfaction of each of the I indicators in a travel route by the participant using an evaluation model to calculate an expected satisfaction value E;
preferably, the service system comprises comparing the actual satisfaction value E' of the travel route by the participant with the expected satisfaction value E, thereby updating the evaluation model of the participant by the application;
wherein the calculating method of the actual satisfaction value E' comprises sending survey questions about the satisfaction value to the participants through the client, or calculating the actual satisfaction value of the participants according to the first perception data and the second perception data.
The beneficial effects obtained by the invention are as follows:
1. the service system is suitable for the collective travel of a plurality of people on the premise of team, can reduce the management difficulty of travel managers to the greatest extent, and simultaneously gives consideration to the experience of most people in travel;
2. the service system is a real-time dynamic processing system, and can acquire the perception data of the participants on the journey in real time so as to evaluate the actual feeling of the participants when the journey is actually executed, and further optimize the subsequent journey arrangement by utilizing the evaluation data;
3. the client of the service system can use various electronic equipment worn by a participant as an implementation mode of the sensing module and the tour guide module, and can be suitable for various application scenes;
4. the service system adopts modularized design for each software and hardware part, thereby being convenient for upgrading or replacing related software and hardware environments in the future and reducing the use cost.
Drawings
The invention will be further understood from the following description taken in conjunction with the accompanying drawings. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the embodiments. Like reference numerals designate corresponding parts throughout the different views.
Reference numerals illustrate: 100-client; 110-participants; 150-a server; 200-evaluating the model; 32-a computer system; 36-a processor; 40-a network adapter; 42-input/output interface; 48-memory; 50-random access memory; 52-a cache; 54-storage system; 60-application; 62-program modules;
FIG. 1 is a schematic diagram of a service system according to the present invention;
FIG. 2 is a schematic diagram of an application of the evaluation model in an embodiment of the present invention;
FIG. 3 is a schematic diagram of a cloud computing system according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a computer system according to an embodiment of the invention.
Detailed Description
In order to make the technical scheme and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the following examples thereof; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention. Other systems, methods, and/or features of the present embodiments will be or become apparent to one with skill in the art upon examination of the following detailed description. It is intended that all such additional systems, methods, features and advantages be included within this description. Included within the scope of the invention and protected by the accompanying claims. Additional features of the disclosed embodiments are described in, and will be apparent from, the following detailed description.
The same or similar reference numbers in the drawings of embodiments of the invention correspond to the same or similar components; in the description of the present invention, it should be understood that, if any, the terms "upper," "lower," "left," "right," and the like indicate an orientation or a positional relationship based on the orientation or the positional relationship shown in the drawings, this is for convenience of description and simplification of the description, and does not indicate or imply that the apparatus or component to be referred to must have a specific orientation. The terms describing the positional relationship in the drawings are merely for illustrative purposes and are not to be construed as limiting the present patent, and specific meanings of the terms are understood by those of ordinary skill in the art according to specific circumstances.
Embodiment one: there is illustratively provided a portable travel service system, the service system comprising:
the client is configured to conduct service contact with the participant and acquire a plurality of personal information and perception data about the participant, which are required by the service system; the client comprises a sensing module and a tour guide module which are operated;
the server is configured to be in communication connection with one or more clients and receive the personal information and the perception data acquired by the clients; processing generates a travel route arrangement based on travel targets of a plurality of participants in a team based on the acquired personal information and perception data of the participants; and further comprising, when necessary, regrouping one team to form at least two sub-teams, and processing each sub-team to generate a corresponding travel route;
wherein, the service system comprises a portable travel service method, and the service method comprises the following steps:
collecting, by the perception module, personal information about the participants prior to the tour, and based on first perceived data for each participant during the tour:
two or more tour guide modules lead the group to execute a travel of a travel route, and the perception module acquires second perception data based on the group in the travel process and feeds back the first perception data and the second perception data to the server;
the server dynamically updates the travel objective during travel based on personal information and awareness data of participants in a team and optimizes a current route based on the travel objective; the travel objective refers to an objective that enables the sum of expected satisfaction values of n percent of participants in a team to be optimized in subsequent travel routes;
the server sends the generated new route to a plurality of tour guide modules in real time, and the tour guide modules conduct tour guide service for participants according to the new route;
dividing the team into at least two sub-teams if necessary, and generating a corresponding new route for each sub-team, so that the participants of each sub-team continue traveling according to the corresponding new route of the respective sub-team;
preferably, the service system includes collecting personal information of the participant prior to travel; the personal information includes at least facial images, body measurement data, health features, character features, hobbies, and desired consumption levels;
and generating an initial route based on the personal information of the plurality of participants in the community;
preferably, the content of the travel route at least comprises a travel item and a stay time of the travel item in the route;
preferably, n has a value equal to or greater than 80;
preferably, the method for calculating the expected satisfaction E is as follows:
in the above formula, the expected satisfaction value E is calculated based on the evaluation and summation of satisfaction of each of the I indexes in a travel route by the participants; wherein s is i I.e. the expected evaluation value, k, of the ith index in the travel route by the participant i For calculating the weight value corresponding to the ith index, each k i The specific numerical value of (2) is set by related technicians according to the actual condition of the travel route;
preferably, optimizing the current travel route based on the travel target includes:
calculation of the following tripMaximum value E of the sum of expected satisfaction values for n percent of the participants in the team that the route may reach max ；
Calculating a sum of expected satisfaction values for n percent of participants in a team to meet or exceed h E max Forming an optimal set of travel routes; wherein the value of h is equal to or greater than 0.9;
sending an optimal set of travel routes to a plurality of participants in a community and collecting feedback of the plurality of participants to generate a final said new route;
preferably, the service system includes evaluating satisfaction of each of the I indicators in a travel route by the participant using an evaluation model to calculate an expected satisfaction value E;
preferably, the service system comprises comparing the actual satisfaction value E' of the travel route by the participant with the expected satisfaction value E, thereby updating the evaluation model of the participant by the application;
wherein the calculating method of the actual satisfaction value E' comprises the steps of sending investigation questions about the satisfaction value to the participants through the client, or calculating the actual satisfaction value of the participants according to the first perception data and the second perception data;
as shown in FIG. 1, a specific embodiment of a travel community employing the present service system is illustratively presented; wherein a plurality of clients 100 and servers 150 in the service system are provided for travel route guidance for two or more participants 110; participant 110 is based on various participant registration information (e.g., the age and health level of the participant) that is useful for scheduling;
in an exemplary embodiment, the service system exhibits characteristics of cognitive computing, such as adapting to changes in travel environments and participants, interacting with participants using various movement techniques, iterating, and being stateful, such that the cognitive tour guide system 100 accumulates cognitive data; the service system generates and applies accumulated data as travel progresses in previous exchanges and is contextually relevant when collecting information from different sources such that the service system continuously generates real-time solutions based on the context containing the various information;
optionally, the service system configures one client 100 for each participant 110; alternatively, the same client 100 is shared for use by two or more participants 110; wherein the client 100 may designate various devices, preferably mobile devices, such as mobile phones, tablets, smart watches, smart bracelets, smart glasses-enabled mobile devices, including applications required for installing the present service system; also, the participant 110 includes two or more mobile devices that are used in conjunction, for example, using a mobile phone or a smart watch simultaneously as a carrier for the client 100, accessing the service system;
preferably, the participant 110 performs the input of personal information before participating in a travel trip using the client 100; the personal information includes basic data of the age, height, weight, sex, etc. of the participant 110; also, in a preferred embodiment, the participant 110 may describe itself, such as character features, hobbies, environmental likes, etc., so that the server 150 is fully aware of the characteristics of the participant 110;
further, the client 100, as a mobile communication terminal in a service system, needs to relay data with the server 150, so that the participant 110 can communicate with the server 150, so that streaming data from a specific participant 110 can be transmitted to the server 150, and so that each participant 110 can receive notification of updated and/or new information about travel from the server 150;
preferably, the client 100 includes a plurality of sensors configured to sense physical states of the participant 110; for example, under the permission of participant 110, client 100 can stream motion data including accelerometer readings to server 150; or the client 100 can sense the data of pulse, blood pressure, body temperature, etc. of the participant 110; or the client 100 can detect the data of the step frequency, the stride, the moving distance, etc. of the participant 110; alternatively, the client 100 can acquire data of the voice, facial expression, etc. of the participant 110;
based on the data collected by the clients 100, the server 150 may perform a multi-aspect analysis on each participant 110 for establishing the assessment model for assessing the participant 110 for the expected satisfaction value E;
as shown in fig. 2, the evaluation model 200 is constructed to basically predict the satisfaction of the participant 110 with each of the indicators in the trip; the evaluation model can be used for establishing a prediction model comprehensively considering a plurality of factors by adopting machine learning, deep learning and other methods and combining a great deal of past participant satisfaction degree expression data, participant personal data, characteristic data of all scenic spots in the journey, weather data, traffic data and other factors;
the process of training the assessment model 200 can be divided into the following steps:
and (3) data collection: collecting satisfaction performance data of past participants, including their satisfaction scores at different sights; meanwhile, personal data of participants, such as gender, age, interest points and the like, and factors such as characteristic data, weather data, traffic data and the like of all scenic spots in a journey are required to be collected;
data preprocessing: preprocessing the collected data, including the steps of data cleaning, abnormal value removal, feature selection, feature engineering and the like; these steps help to improve the accuracy and generalization ability of the model;
model selection and training: selecting a proper machine learning or deep learning model, such as a regression model, a decision tree, a neural network and the like, according to the characteristics of the problem and the characteristics of the data; training the model by using a training data set, and performing model tuning by cross verification and other technologies so as to improve the prediction performance;
model evaluation and verification: evaluating the trained model using the validation data set, wherein the evaluation index can comprise mean square error, accuracy and the like; according to the evaluation result, the model is adjusted and improved so as to improve the prediction capability;
model application: applying the trained evaluation model to an actual travel journey, and evaluating satisfaction degrees of the participants on various indexes when the participants visit different scenic spots according to personal data of the participants and various factors in the journey;
moreover, the evaluation model 200 does not directly give the value of the expected satisfaction value E, but evaluates the expected evaluation value of the first item in a total I index in the travel route, respectively;
these metrics may include dining performance, accommodation performance, tour guide service performance, consumption level, application emergency performance, etc.; the degree of interest of each participant 110 in each index is different and may be embodied in the assessment model, and the degree of interest of the provider of the travel service in each index is also different, so that each k in the calculation of the expected satisfaction value E i The specific values of (2) are additionally set by the related art according to the actual situation of the travel route and based on the individual situation of the participant 110;
embodied in specific examples, as shown in the following table:
in this example, participant a has a higher importance on the dining performance and consumption level, and has set higher weight values (0.3 and 0.4) respectively, while the corresponding other indicators have lower weight values; the participant B has higher importance level on accommodation performance and tour guide service performance, respectively sets higher weight values (0.3 and 0.2), and has lower weight values of other corresponding indexes; the participant C has higher importance level on tour guide service performance and emergency performance, respectively sets higher weight values (0.3 and 0.3), and has lower weight values of other corresponding indexes;
through the above calculations, the expected satisfaction value E for each participant 110 in the team can be obtained and summed;
moreover, the satisfaction of each participant 110 may be changed by selecting different travel routes, or changing different items of the travel routes, or by improving the consumption budget to obtain better travel item experience, etc.; based on the above statement; based on the focus of each participant 110, the server 150 may attempt to find a travel route that achieves a higher level of summation of the expected satisfaction values E of the plurality of participants 110 by varying factors such as different attractions, residence times, traffic patterns, consumption levels, etc. in the travel route.
Embodiment two: this embodiment should be understood to include at least all of the features of any one of the preceding embodiments, and be further modified based thereon;
also, in most cases, the travel route settings do not meet all of the expectations of multiple participants 110, particularly during team outing, based on the premise of collective action, not providing too many personalized service settings for the participants 110;
thus, in one exemplary embodiment, only the sum of the expected satisfaction values E of the participants for n percent or values thereabout is considered; the value of n may be set to, for example, 80, 85, or 90, or other values;
when the plurality of participants 110 have a large characteristic variance, for example, one portion of the participants may focus on the dining aspect and may ignore the consumption level, while another portion of the participants may be more focused on the consumption level and may ignore the dining aspect; schemes to coordinate the travel routes of these participants 110 would become more difficult; thus, in the above manner, the experience of a small portion of the participants may be appropriately ignored for the concerns of a large portion of the participants 110, ultimately maintaining overall team satisfaction;
the server 150 needs to try more combinations through a large number of operations, such as selecting different participants 110, and evaluating each participant in the team with travel items having differences to find a solution for a preferred travel route;
further, in an exemplary embodiment, the method includes sorting the schemes of the plurality of travel routes according to a sum of expected satisfaction values E of each scheme, and selecting the optimal ones of the schemes as selectable items; the team can choose different schemes to implement according to the actual situation.
Embodiment III: this embodiment should be understood to include at least all of the features of any one of the preceding embodiments, and be further modified based thereon;
to further increase the operational capability or response efficiency of the service system, the server 150 may preferably be implemented based on a cloud computing service, as shown in fig. 3;
cloud computing is a service delivery model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, network bandwidth, servers, processes, memory, storage, applications, virtual machines, and services), which can be quickly configured and released with minimal management effort or interaction with service providers;
wherein, in the cloud computing service, a plurality of cloud computing nodes 30 can be set to establish connection with the client 100; and it is known that cloud computing node 30 can be implemented and/or perform any of the functions set forth above;
in cloud computing node 30, there is a computer system 32 that is operable with many other general purpose or special purpose computing system environments or configurations; examples of well known computing systems, environments, and/or configurations that may be suitable for use with computer system 32 include, but are not limited to, personal computer systems, server computer systems, thin clients, thick clients, hand-held or hand-held computers. Notebook computer devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers systems, mainframe computer systems, distributed cloud computing environments that include any of the above systems or devices, and the like;
computer system 32 may be described in the general context of computer-system-executable instructions, such as program modules, being executed by a computer system; generally, program modules may include routines, programs, objects, components, logic, data structures, etc. that perform particular tasks or implement particular abstract data types;
also, computer system 32 may be practiced in distributed cloud computing environments where tasks are performed by remote processing devices that are linked through a communications network; in a distributed cloud computing environment, program modules may be located in both local and remote computer system storage media (including memory storage devices);
preferably, the computer system 32 in the cloud computing node 30 is shown in the form of a general purpose computing device, as in FIG. 4;
components of computer system 32 may include, but are not limited to, one or more processors 36, a system memory 48, and a bus 38 that couples various system components including system memory 48 to processor 36;
bus 38 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures;
by way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus, micro Channel Architecture (MCA) bus, enhanced ISA (EISA) bus, video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus;
computer system 32 typically includes a variety of computer system readable media;
such media can be any available media that is accessible by computer system 32 and includes both volatile and nonvolatile media, removable and non-removable media;
the system memory 48 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 50 and/or cache memory 52;
computer system 32 may also include other removable/non-removable, volatile/nonvolatile computer system storage media; for example only, storage system 54 may be provided for reading from and writing to non-removable, non-volatile magnetic media (commonly referred to as a "hard disk drive");
in which case each may be connected to bus 38 by one or more data media interfaces.
As will be further depicted and described below, memory 48 may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of embodiments of the invention; an application 60 having a set (at least one) of program modules 62 may be stored in memory 48 by way of example and not limitation, as well as an operating system, one or more application programs, or other program modules and program data; an operating system, one or more application programs, other program modules, and program data, or some combination thereof, may each include an implementation of the service system; program modules 62 generally perform the functions and/or methods of embodiments of the present invention as described herein;
the computer system 32 may also communicate with one or more external devices, such as one or more devices, e.g., a keyboard, mouse, display, etc., that enable a user to interact with the computer system 32; and/or any device that enables computer system 32 to communicate with one or more other computing devices, such as a network card, modem, or the like; such communication may occur via the input/output interface 42;
further, computer system 32 may communicate with one or more networks such as a Local Area Network (LAN), a general Wide Area Network (WAN), and/or a public network (e.g., the Internet) via network adapter 40;
as shown, the network adapter 40 communicates with other components of the computer system 32 via the bus 38;
it should be appreciated that although not shown, other hardware and/or software components may be used in conjunction with computer system 12; examples include, but are not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data archive storage systems, among others.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
While the invention has been described above with reference to various embodiments, it should be understood that many changes and modifications can be made without departing from the scope of the invention. That is, the methods, systems and devices discussed above are examples. Various configurations may omit, replace, or add various procedures or components as appropriate. For example, in alternative configurations, the methods may be performed in a different order than described, and/or various components may be added, omitted, and/or combined. Moreover, features described with respect to certain configurations may be combined in various other configurations, such as different aspects and elements of the configurations may be combined in a similar manner. Furthermore, as the technology evolves, elements therein may be updated, i.e., many of the elements are examples, and do not limit the scope of the disclosure or the claims.
Specific details are given in the description to provide a thorough understanding of exemplary configurations involving implementations. However, configurations may be practiced without these specific details, e.g., well-known circuits, processes, algorithms, structures, and techniques have been shown without unnecessary detail in order to avoid obscuring configurations. This description provides only an example configuration and does not limit the scope, applicability, or configuration of the claims. Rather, the foregoing description of the configuration will provide those skilled in the art with an enabling description for implementing the described techniques. Various changes may be made in the function and arrangement of elements without departing from the spirit or scope of the disclosure.
It is intended that the foregoing detailed description be regarded as illustrative rather than limiting, and that it be understood that it is intended that it be regarded as illustrative rather than limiting. Various changes and modifications to the present invention may be made by one skilled in the art after reading the teachings herein, and such equivalent changes and modifications are intended to fall within the scope of the invention as defined in the appended claims.
Claims (8)
1. A portable travel service system, the service system comprising:
the client is configured to conduct service contact with the participant and acquire a plurality of personal information and perception data about the participant, which are required by the service system; the client comprises a sensing module and a tour guide module which are operated;
the server is configured to be in communication connection with one or more clients and receive the personal information and the perception data acquired by the clients; processing generates a travel route arrangement based on travel targets of a plurality of participants in a team based on the acquired personal information and perception data of the participants; and further comprising, when necessary, regrouping one team to form at least two sub-teams, and processing each sub-team to generate a corresponding travel route;
wherein, the service system comprises a portable travel service method, and the service method comprises the following steps:
collecting, by the perception module, personal information about the participants prior to the tour, and based on first perceived data for each participant during the tour:
two or more tour guide modules lead the group to execute a travel of a travel route, and the perception module acquires second perception data based on the group in the travel process and feeds back the first perception data and the second perception data to the server;
the server dynamically updates the travel objective during travel based on personal information and awareness data of participants in a team and optimizes a current route based on the travel objective; the travel objective refers to an objective that enables the sum of expected satisfaction values of n percent of participants in a team to be optimized in subsequent travel routes;
the server sends the generated new route to a plurality of tour guide modules in real time, and the tour guide modules conduct tour guide service for participants according to the new route;
and, if necessary, dividing the team into at least two sub-teams, and generating a corresponding new route for each sub-team, so that the participants of each sub-team continue traveling according to the respective new route corresponding to the respective sub-team.
2. The service system of claim 1, wherein the service system includes collecting personal information of the participant prior to travel; the personal information includes at least facial images, body measurement data, health features, character features, hobbies, and desired consumption levels;
and generating an initial route based on the personal information of the plurality of participants in the community.
3. The service system of claim 2 wherein the contents of the travel route include at least a travel item and a length of time to stay in the travel item in the route.
4. A service system as claimed in claim 3, characterized in that the value of n is equal to or greater than 80.
5. The service system of claim 4, wherein the expected satisfaction value E is calculated by:
in the above formula, the expected satisfaction value E is calculated based on the evaluation and summation of satisfaction of each of the I indexes in a travel route by the participants; wherein s is i I.e. the expected evaluation value, k, of the ith index in the travel route by the participant i For calculating the weight value corresponding to the ith index, each k i The specific numerical values of (2) are set by the related technicians according to the actual conditions of the travel routes and the evaluation models.
6. The service system of claim 5, wherein optimizing the current travel route based on the travel goal comprises:
calculating a maximum E of the sum of expected satisfaction values of n percent of the participants in the team, which may be reached in the subsequent travel route max ；
Calculating a sum of expected satisfaction values for n percent of participants in a team to meet or exceed h E max Forming an optimal set of travel routes; wherein the value of h is equal to or greaterAt 0.9;
an optimal set of travel routes is sent to a plurality of participants in the community and feedback from the plurality of participants is collected to generate the final new route.
7. The service system of claim 6, wherein the service system includes using an assessment model to assess the satisfaction of participants with each of the co-I indicators in a travel route to calculate the expected satisfaction value E.
8. The service system of claim 7, wherein the service system includes updating the evaluation model of the application for the participant based on comparing the actual satisfaction value E' of the participant with the travel route with the expected satisfaction value E;
wherein the calculating method of the actual satisfaction value E' comprises sending survey questions about the satisfaction value to the participants through the client, or calculating the actual satisfaction value of the participants according to the first perception data and the second perception data.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310781709.9A CN117252731A (en) | 2023-06-29 | 2023-06-29 | Portable travel service system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310781709.9A CN117252731A (en) | 2023-06-29 | 2023-06-29 | Portable travel service system |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106254219A (en) * | 2016-08-15 | 2016-12-21 | 蔡宏铭 | Intelligent travel method and system based on route planning |
| US20170211940A1 (en) * | 2016-01-25 | 2017-07-27 | International Business Machines Corporation | Cognitive tour guide system |
| CN111626829A (en) * | 2020-05-29 | 2020-09-04 | 四川亨通网智科技有限公司 | Travel multi-person cooperative system |
| CN113343127A (en) * | 2021-04-25 | 2021-09-03 | 武汉理工大学 | Tourism route recommendation method, system, server and storage medium |
-
2023
- 2023-06-29 CN CN202310781709.9A patent/CN117252731A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170211940A1 (en) * | 2016-01-25 | 2017-07-27 | International Business Machines Corporation | Cognitive tour guide system |
| CN106254219A (en) * | 2016-08-15 | 2016-12-21 | 蔡宏铭 | Intelligent travel method and system based on route planning |
| CN111626829A (en) * | 2020-05-29 | 2020-09-04 | 四川亨通网智科技有限公司 | Travel multi-person cooperative system |
| CN113343127A (en) * | 2021-04-25 | 2021-09-03 | 武汉理工大学 | Tourism route recommendation method, system, server and storage medium |
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