CN116823534A - Intelligent service virtual man system for text travel industry based on multi-mode large model - Google Patents

Intelligent service virtual man system for text travel industry based on multi-mode large model Download PDF

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CN116823534A
CN116823534A CN202311099953.3A CN202311099953A CN116823534A CN 116823534 A CN116823534 A CN 116823534A CN 202311099953 A CN202311099953 A CN 202311099953A CN 116823534 A CN116823534 A CN 116823534A
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park
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CN116823534B (en
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张卫平
王晶
吴茜
王丹
李显阔
丁园
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Global Digital Group Co Ltd
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Abstract

The invention relates to the technical field of intelligent service virtual man systems, in particular to a text travel industry intelligent service virtual man system based on a multi-mode large model, which comprises a collecting module, a multi-mode identification module, a control module and a communication module; the control module calculates a selection function of the region information according to the region reference coefficient, obtains the region information according to the selection function of the region information and transmits the region information to the communication module; the communication module transmits the area information to the user side. The above-mentioned area that can screen the tourism according to user's demand helps improving the matching degree of user's demand and planned travel route, in addition, the multimodal recognition module can handle user's preset's tourism plan text, user's preset's tourism plan pronunciation and user's preset's information of tourism plan video simultaneously, carries out more accurate understanding and description to the complicated information of input, then feeds back to control module to improve the speed and the accuracy of screening.

Description

Intelligent service virtual man system for text travel industry based on multi-mode large model
Technical Field
The invention relates to the technical field of intelligent service virtual man systems, in particular to a multi-mode large model-based intelligent service virtual man system for the text travel industry.
Background
The basic principle of the multi-mode large model refers to a deep learning model capable of processing multiple mode data simultaneously, processing multiple types of data such as images, texts, audios and the like, and effectively fusing the data, so that more accurate understanding and description of complex scenes are realized.
With the economic development and the life style transition, the travel life has become a trend of current leisure and recreation, shows extremely strong market vitality and consumption acceleration, and the travel service business state taking a travel agency as a theme is a current mainstream travel service mode.
Many service systems of multi-mode large models have been developed, and through extensive searching and reference, the service systems of multi-mode large models disclosed in publication numbers CN116150345A and CN115827882a in the prior art are found, and these generally include multi-mode data processing processes, that is, collecting text, voice and video information, then identifying and extracting the text, voice and video information, and finally analyzing to obtain results.
However, the current multi-mode large-model service system planning travel routes are not very specific, so that the requirements of users cannot be met.
Disclosure of Invention
The invention aims to improve the matching degree of a planned travel route and user demands, and provides an intelligent virtual service man system for the text travel industry based on a multi-mode large model aiming at the defects of the service system of the current multi-mode large model.
The invention adopts the following technical scheme:
a virtual man system for intelligent service of the text travel industry based on a multi-mode large model comprises a collection module, a multi-mode identification module, a control module and a communication module which are sequentially connected in a communication way;
the collection module is used for collecting information of a travel plan text preset by a user, a travel plan voice preset by the user and a travel plan video preset by the user, and transmitting the information to the multi-modal identification module;
the multi-mode recognition module extracts the information of the weight index of the weather factors, the weight index of the physical factors, the weight index of the distance factors, the travel type, the preset temperature, the preset single-day step number and the preset distance according to the information of the travel plan text preset by the user, the travel plan voice preset by the user and the travel plan video preset by the user, and transmits the information to the control module;
the control module calculates a selection function of the physical ability reference index according to the preset number of single-day steps, calculates a selection function of the distance reference index according to the preset distance, calculates a travel type reference index according to the travel type, calculates a regional reference coefficient according to the travel type reference index, the preset temperature, the weight index of the weather factor, the selection function of the physical ability reference index, the weight index of the physical ability factor, the selection function of the distance reference index and the weight index of the distance factor, calculates a selection function of regional information according to the regional reference coefficient, obtains regional information according to the selection function of the regional information and transmits the regional information to the communication module;
and the communication module transmits the region information to the user terminal.
Optionally, the collecting module comprises a video collecting sub-module, a voice collecting sub-module and a text collecting sub-module, and the video collecting sub-module, the voice collecting sub-module and the text collecting sub-module are all in communication connection with the multi-mode identifying module;
the video collecting submodule is used for collecting information of a travel plan video preset by a user and transmitting the information to the multi-mode identification module;
the voice collecting submodule is used for collecting information of travel plan voices preset by a user and transmitting the information to the multi-mode identification module;
the text collecting sub-module is used for collecting information of travel plan texts preset by users and transmitting the information to the multi-mode identification module.
Optionally, when the control module calculates the region reference coefficient, the following formula is satisfied:
；
；
；
wherein ,for regional reference coefficients, ++>For travel type reference index->The values of->Or (b)Or->When the travel type is sightseeing holiday type +.>When the travel type is recreation type +.>When the travel type is cultural knowledge type/>，/>Is at a preset temperature->Weight index for weather factor, +.>For the selection function of the physical ability reference index +.>Weight index for physical fitness factor, +.>For a selection function from a reference index, +.>A weight index that is a distance factor;
the number of single steps is preset;
is a preset distance.
Optionally, when the control module calculates the selection function of the area information, the following formula is satisfied:
；
wherein ,for the selection function of the region information +.>To->For different area information, ++>To->Thresholds are selected for different region reference coefficients.
Optionally, the system further comprises an information storage module in communication with the control module;
the information storage module is used for storing information of the average consumption amount of the park and transmitting the information to the control module;
the multi-mode identification module also extracts information of preset playing time, preset rest time, the number of special people and the total number of people and transmits the information to the control module;
the control module calculates the ratio of the number of special people to the total number of people according to the number of the special people and the information of the total number of people, calculates the reference coefficient of the park according to the ratio of the number of the special people to the total number of people, the reference index with the special people, the average consumption amount of the park, the total number of people, the preset playing time and the preset rest time, calculates the selection function of the recommendation information of the park according to the reference coefficient of the park, obtains the recommendation information of the park according to the selection function of the recommendation information of the park and transmits the recommendation information of the park to the communication module;
and the communication module transmits the park recommendation information to the user terminal.
Optionally, when the control module calculates the reference coefficient of the campus, the following formula is satisfied:
；
；
wherein ,for the reference coefficient of the park, +.>For the preset play time,/a->For presetting rest time, < > for>For the average amount of money per person in the park +.>For reference index with special population +.>The values of->Or->When there is no special crowd +.>When having special crowd +.>，/>A selection function for a group type reference index;
is the ratio of the number of special people to the total number of people, < ->For the number of special people>Is the total number of people.
Optionally, when the control module calculates the selection function of the campus recommendation information, the following formula is satisfied:
；
wherein ,selection function for park recommendation information, +.>Is the threshold of the reference coefficient of the park whenWhen +.>And not recommending the park to play.
The beneficial effects obtained by the invention are as follows:
1. the invention combines the business and large multi-mode models, the multi-mode recognition module can process the information of the user preset travel plan text, the user preset travel plan voice and the user preset travel plan video input by the user at the same time, more accurately understand and describe the input complex information, and then feed back to the control module, thereby improving the screening speed and accuracy;
2. the control module calculates a selection function of the physical ability reference index according to the preset number of steps per day, calculates a selection function of the distance reference index according to the preset distance, calculates a travel type reference index according to the travel type reference index, the preset temperature, the weight index of the weather factor, the selection function of the physical ability reference index, the weight index of the physical ability factor, the selection function of the distance reference index and the weight index of the distance factor, calculates a region reference coefficient, calculates a selection function of region information according to the region reference coefficient, and obtains region information according to the selection function of the region information, namely the region information can be obtained through the control module, and the travel region can be screened according to the requirements of users, so that the operation is convenient and the practicability is higher;
3. the control module calculates the ratio of the number of special people to the total number of people according to the number of the special people and the information of the total number of people, calculates the reference coefficient of the park according to the ratio of the number of the special people to the total number of people, the reference index with the special people, the average consumption amount of the park, the total number of people, the preset playing time and the preset rest time, calculates the selection function of the recommendation information of the park according to the reference coefficient of the park, and obtains the recommendation information of the park according to the selection function of the recommendation information of the park, namely, the recommendation information of the park can be obtained through the control module, different parks are evaluated according to the requirements of users, and more satisfactory playing parks can be screened, so that the operation is more convenient and the practicability is higher;
4. because the control module considers the travelling situation of special people during calculation, the screened route can meet the requirements of users in a larger range, and the satisfaction degree of the users is improved to a certain extent;
5. in the actual operation process of the control module, the average consumption amount corresponding to the park and the preset playing time and the preset rest time are reasonably considered, and the desirable playing park can be screened out more accurately.
For a further understanding of the nature and the technical aspects of the present invention, reference should be made to the following detailed description of the invention and the accompanying drawings, which are provided for purposes of reference only and are not intended to limit the invention.
Drawings
FIG. 1 is a schematic diagram of the overall structure of the present invention;
FIG. 2 is a schematic diagram of a collection module according to the present invention;
FIG. 3 is a flow chart illustrating the operation of the system of the present invention;
FIG. 4 is a schematic diagram of an information storage module according to a second embodiment of the present invention;
fig. 5 is a schematic overall structure of a third embodiment of the present invention.
Detailed Description
The following embodiments of the present invention are described in terms of specific examples, and those skilled in the art will appreciate the advantages and effects of the present invention from the disclosure herein. The invention is capable of other and different embodiments and its several details are capable of modification and variation in various respects, all without departing from the spirit of the present invention. The drawings of the present invention are merely schematic illustrations, and are not drawn to actual dimensions, and are stated in advance. The following embodiments will further illustrate the related art of the present invention in detail, but the disclosure is not intended to limit the scope of the present invention.
Embodiment one: the embodiment provides an intelligent service virtual man system for the text travel industry based on a multi-mode large model, which is shown in combination with figures 1 to 3.
A virtual man system for intelligent service of the text travel industry based on a multi-mode large model comprises a collection module, a multi-mode identification module, a control module and a communication module which are sequentially connected in a communication way;
the collection module is used for collecting information of a travel plan text preset by a user, a travel plan voice preset by the user and a travel plan video preset by the user, and transmitting the information to the multi-modal identification module;
the multi-mode recognition module extracts the information of the weight index of the weather factors, the weight index of the physical factors, the weight index of the distance factors, the travel type, the preset temperature, the preset single-day step number and the preset distance according to the information of the travel plan text preset by the user, the travel plan voice preset by the user and the travel plan video preset by the user, and transmits the information to the control module;
the control module calculates a selection function of the physical ability reference index according to the preset number of single-day steps, calculates a selection function of the distance reference index according to the preset distance, calculates a travel type reference index according to the travel type, calculates a regional reference coefficient according to the travel type reference index, the preset temperature, the weight index of the weather factor, the selection function of the physical ability reference index, the weight index of the physical ability factor, the selection function of the distance reference index and the weight index of the distance factor, calculates a selection function of regional information according to the regional reference coefficient, obtains regional information according to the selection function of the regional information and transmits the regional information to the communication module;
and the communication module transmits the region information to the user terminal.
The multi-mode recognition module can process information of the travel plan text preset by the user, the travel plan voice preset by the user and the travel plan video preset by the user, which are input by the user, through combining the business industry and the multi-mode large model, so that the input complex information is more accurately understood and described, and then the complex information is fed back to the control module, thereby improving the screening speed and accuracy.
Optionally, the collecting module comprises a video collecting sub-module, a voice collecting sub-module and a text collecting sub-module, and the video collecting sub-module, the voice collecting sub-module and the text collecting sub-module are all in communication connection with the multi-mode identifying module;
the video collecting submodule is used for collecting information of a travel plan video preset by a user and transmitting the information to the multi-mode identification module;
the voice collecting submodule is used for collecting information of travel plan voices preset by a user and transmitting the information to the multi-mode identification module;
the text collecting sub-module is used for collecting information of travel plan texts preset by users and transmitting the information to the multi-mode identification module.
Specifically, after the multi-mode recognition module collects the information of the travel plan text preset by the user, the travel plan voice preset by the user and the travel plan video preset by the user, the information of the travel plan voice preset by the user and the travel plan video preset by the user is converted into text information, and then the feature extraction is carried out on the travel plan text preset by the user and the converted text information, so that the required information is extracted.
Optionally, when the control module calculates the region reference coefficient, the following formula is satisfied:
；
；
；
wherein ,for regional reference coefficients, ++>Is a travel type reference index, which is preset empirically by a person skilled in the art, < >>The values of->Or->Or->When the travel type is sightseeing holiday type +.>When the travel type is recreation type +.>When the travel type is cultural knowledge type +.>，/>Is at a preset temperature->Weight index for weather factor, +.>For the selection function of the physical ability reference index +.>Weight index for physical fitness factor, +.>For a selection function from a reference index, +.>A weight index that is a distance factor;
the number of single steps is preset;
the preset distance is specifically centered on the user's home position.
Optionally, when the control module calculates the selection function of the area information, the following formula is satisfied:
；
wherein ,for the selection function of the region information +.>To->Is different area information, which is preset by the person skilled in the art according to experience,/for each area>To->The threshold values for the different region reference coefficients are chosen and are preset empirically by a person skilled in the art.
Optionally, the system further comprises an information storage module in communication with the control module;
the information storage module is used for storing information of the average consumption amount of the park and transmitting the information to the control module;
the multi-mode identification module also extracts information of preset playing time, preset rest time, the number of special people and the total number of people and transmits the information to the control module;
the control module calculates the ratio of the number of special people to the total number of people according to the number of the special people and the information of the total number of people, calculates the reference coefficient of the park according to the ratio of the number of the special people to the total number of people, the reference index with the special people, the average consumption amount of the park, the total number of people, the preset playing time and the preset rest time, calculates the selection function of the recommendation information of the park according to the reference coefficient of the park, obtains the recommendation information of the park according to the selection function of the recommendation information of the park and transmits the recommendation information of the park to the communication module;
and the communication module transmits the park recommendation information to the user terminal.
Above-mentioned, control module obtains regional information according to regional information's selection function, and above-mentioned regional information that can obtain through control module promptly filters the region of tourism according to user's demand, and above-mentioned operation is comparatively convenient and the practicality is higher. In addition, the control module considers that a part of special people travel and play during calculation, so that the route screening is more reasonable.
Optionally, when the control module calculates the reference coefficient of the campus, the following formula is satisfied:
；
；
wherein ,for the reference coefficient of the park, +.>For the preset play time,/a->For presetting rest time, < > for>For the average amount of money per person in the park +.>Is a reference index with a specific population, which is empirically preset by a person skilled in the art,/->The values of->Or->When there is no special crowd +.>When having special crowd +.>，/>A selection function for a group type reference index;
is the ratio of the number of special people to the total number of people, < ->For the number of special people>Is the total number of people.
Specifically, the special crowd refers to pregnant women, infants, the elderly and people with mobility impairment.
Optionally, when the control module calculates the selection function of the campus recommendation information, the following formula is satisfied:
；
wherein ,selection function for park recommendation information, +.>The threshold value for the reference coefficient of the park, which is preset empirically by the person skilled in the art, is +.>When +.>And not recommending the park to play.
When the intelligent service virtual man system of the text travel industry works based on the multi-mode large model, the steps are as follows:
s1: the collection module collects information of a travel plan text preset by a user, a travel plan voice preset by the user and a travel plan video preset by the user, and transmits the information to the multi-modal identification module;
s2: the multi-mode recognition module extracts relevant information according to the information of the travel plan text preset by the user, the travel plan voice preset by the user and the travel plan video preset by the user, and transmits the relevant information to the control module;
s3: the control module obtains regional information according to the related information and transmits the regional information to the communication module;
s4: the communication module transmits the regional information to the user side, and the user side can obtain the information of all parks in the screened region;
s5: the user selects the corresponding information of the average consumption amount of the parks according to the information of all the parks in the screened area, stores the information into the information storage module and transmits the information to the control module;
s6: the control module obtains park recommendation information according to the related information and the information of the average consumption amount of the park personnel and transmits the park recommendation information to the communication module;
s7: the communication module transmits the park recommendation information to the user side.
Firstly screening out the desirable area information, for example, selecting the areas with the azimuth in the east direction, the west direction, the south direction and the north direction, wherein the screened area information is provided for a user to reference, namely, the user can properly adjust the satisfactory area according to the actual requirement;
and then, all parks in the corresponding area information can be manually screened according to the area information, then, the system calculates each park one by one to finally obtain park recommendation information, and finally, the user screens the desirable parks in the recommended parks to play.
The method solves the problem that the traditional intelligent service virtual man system for the text travel industry is not screened by combining with the actual demands of users, specifically, the text travel industry and the multi-mode large model are combined in the method, the multi-mode recognition module can process information of the travel plan text preset by the user and the travel plan voice preset by the user and the travel plan video preset by the user, input complex information is more accurately understood and described, and then the complex information is fed back to the control module, so that screening speed and screening accuracy are improved.
In addition, the control module obtains regional information, namely can obtain regional information through the control module, screens the region of tourism according to user's demand, above operation is comparatively convenient and the practicality is higher.
Finally, the control module can obtain park recommendation information, namely, different parks are evaluated according to the requirements of users, and more satisfactory playing parks can be screened out.
Embodiment two: the embodiment includes the whole content of the first embodiment, and provides a virtual man system for intelligent service of the text traveling industry based on a multi-mode large model, which is shown in fig. 4.
The information storage module is also used for storing the firstPeople entering garden on daily basisThe information of the flow, the number of scenic spots and the number of hot scenic spots is transmitted to the control module;
the control module according to the firstCalculating average flow of people entering a park in a week by the flow of people entering the park in the day, calculating reference coefficients of the number of scenic spots according to the average flow of people entering the park in the week, the number of scenic spots and the number of popular scenic spots, calculating a selection function of playing information according to the reference coefficients of the number of scenic spots, obtaining the playing information according to the selection function of the playing information, and transmitting the playing information to a communication module; specifically, the average people flow entering the park in a week is of more reference significance, the people flow in actual playing can be estimated, and playing information can be reasonably obtained.
The communication module transmits the play information to the user side.
The information storage module comprises a test information storage sub-module and a fixed value information storage sub-module, and the test information storage sub-module and the fixed value information storage sub-module are both in communication connection with the control module;
the test information storage sub-module is used for storing the average consumption amount of the park and storing the first timeThe information of the people flow and the number of hot spots in the daily park is transmitted to the control module;
the fixed value information storage submodule is used for storing information of the number of scenic spots and transmitting the information to the control module.
When the control module calculates the reference coefficient of the number of the scenic spots, the following formula is satisfied:
；
；
wherein ,as the number of scenic spotsReference coefficient->For average traffic of people entering the park within one week, < > for>For the number of scenic spots,the number of hot spots;
is->Daily traffic to the campus.
When the control module calculates a selection function of the play information, the following equation is satisfied:
；
wherein ,for the selection function of the play information, +.>The threshold value of the reference coefficient for the number of spots, which is preset empirically by the person skilled in the art, is +.>When indicated as recommended all attractions to be played, when +.>And is indicated as recommended play part sights.
Firstly screening out the desirable area information, for example, selecting the areas with the azimuth in the east direction, the west direction, the south direction and the north direction, wherein the screened area information is provided for a user to reference, namely, the user can properly adjust the satisfactory area according to the actual requirement;
and then, all parks in the corresponding area information can be manually screened according to the area information, then, the system calculates each park one by one to finally obtain park recommendation information, and finally, the user screens the desirable parks in the recommended parks to play.
Before the user actually plays, the control module can obtain play information through calculation, and the route of actually playing and the number of scenic spots that play in a certain garden can be planned according to the play information, so that limited play time is better utilized.
The method solves the problem that the traditional intelligent service virtual man system in the text travel industry is low in processing speed, and specifically, the control module obtains the playing information, and the control module calculates whether to recommend playing all classical information according to the actual demands of the user, so that the user selects part of cold scenic spots in the actual playing process, and plays hot scenic spots in more time.
In addition, in the actual playing process, the user can also play the scenic spot of interest according to the actual situation, and the playing information is only used as a reference.
Embodiment III: the embodiment includes the whole content of the second embodiment, and provides a virtual man system for intelligent service of the text traveling industry based on a multi-mode large model, which is shown in fig. 5.
The system also comprises an evaluation module which is in communication connection with the control module;
the evaluation module is used for storing the firstSatisfaction and +.>The satisfaction degree information of the evaluation of the special crowd is transmitted to the control module;
the control module calculates the number of non-special people according to the number of special people and the total number of people, and calculates the number of non-special people according to the number and the first number of non-special peopleSatisfaction of evaluation of individual non-specific group, total number of people, number of specific group, +.>Calculating satisfaction reference coefficients according to the ratio of the satisfaction evaluated by the special crowd and the number of the special crowd to the total crowd, calculating a selection function of satisfaction information according to the satisfaction reference coefficients, obtaining the satisfaction information according to the selection function of the satisfaction information, and transmitting the satisfaction information to a communication module;
the communication module transmits satisfaction information to the user side.
Optionally, the evaluation module comprises a non-special crowd evaluation sub-module and a special crowd evaluation sub-module, and the non-special crowd evaluation sub-module and the special crowd evaluation sub-module are both in communication connection with the control module;
non-special crowd evaluation submodule for storing the firstThe satisfaction degree information of the evaluation of the non-special crowd is transmitted to the control module; the special crowd evaluation submodule is used for storing the +.>And transmitting the satisfaction degree information of the evaluation of the special crowd to the control module.
When the control module calculates the satisfaction reference coefficient, the following formula is satisfied:
；
；
wherein ,for satisfaction reference coefficient, ++>Is->Satisfaction of individual non-specific group evaluation, +.>Is the number of non-special people, +.>Is->Satisfaction of individual group evaluations.
Specifically, the satisfaction degree of the evaluation can comprehensively consider the two aspects of the screened parks and the scenic spots recommended to play.
When the control module calculates a selection function of satisfaction information, the following formula is satisfied:
；
wherein ,for the selection function of satisfaction information, +.>The threshold value for the reference coefficient of satisfaction is chosen in advance, which is empirically set by the person skilled in the art, when +.>Is indicated as unsatisfactory when +.>And is indicated as satisfactory.
The embodiment solves the problem that the traditional intelligent service virtual man system in the text travel industry lacks a module for feeding back later information, specifically, an evaluation module in communication connection with a control module is additionally arranged in the embodiment, different satisfaction is transmitted to the control module through the evaluation module, the control module obtains satisfaction information, whether the screened route in the system meets the requirements of users or not can be fed back through the satisfaction information, and when the requirements of most users are not met, the system needs to be regulated according to actual conditions, so that the screened route of the system meets the requirements of the users more; even when the demands of most users are met, the system can be further adjusted according to the demands of the users, so that the screening speed of the system is increased, and the service efficiency is further improved.
In addition, all the comments are adopted in the satisfaction evaluation, namely the satisfaction of the special crowd and the non-special crowd can be adopted, the scope of the adoption of the comments is wider, and the satisfaction evaluation method has a larger reference meaning in the later adjustment of the system.
The foregoing disclosure is only a preferred embodiment of the present invention and is not intended to limit the scope of the invention, so that all equivalent technical changes made by the application of the present invention and the accompanying drawings are included in the scope of the invention, and in addition, the elements in the invention can be updated with the technical development.

Claims (7)

1. The intelligent service virtual man system for the travel industry based on the multi-mode large model is characterized by comprising a collection module, a multi-mode identification module, a control module and a communication module which are sequentially connected in a communication mode;
the collection module is used for collecting information of a travel plan text preset by a user, a travel plan voice preset by the user and a travel plan video preset by the user, and transmitting the information to the multi-modal identification module;
the multi-mode recognition module extracts the information of the weight index of the weather factors, the weight index of the physical factors, the weight index of the distance factors, the travel type, the preset temperature, the preset single-day step number and the preset distance according to the information of the travel plan text preset by the user, the travel plan voice preset by the user and the travel plan video preset by the user, and transmits the information to the control module;
the control module calculates a selection function of the physical ability reference index according to the preset number of single-day steps, calculates a selection function of the distance reference index according to the preset distance, calculates a travel type reference index according to the travel type, calculates a regional reference coefficient according to the travel type reference index, the preset temperature, the weight index of the weather factor, the selection function of the physical ability reference index, the weight index of the physical ability factor, the selection function of the distance reference index and the weight index of the distance factor, calculates a selection function of regional information according to the regional reference coefficient, obtains regional information according to the selection function of the regional information and transmits the regional information to the communication module;
and the communication module transmits the region information to the user terminal.
2. The intelligent service virtual man system for the travel industry based on the multi-mode large model according to claim 1, wherein the collection module comprises a video collection sub-module, a voice collection sub-module and a text collection sub-module, and the video collection sub-module, the voice collection sub-module and the text collection sub-module are all in communication connection with the multi-mode identification module;
the video collecting submodule is used for collecting information of a travel plan video preset by a user and transmitting the information to the multi-mode identification module;
the voice collecting submodule is used for collecting information of travel plan voices preset by a user and transmitting the information to the multi-mode identification module;
the text collecting sub-module is used for collecting information of travel plan texts preset by users and transmitting the information to the multi-mode identification module.
3. The intelligent service virtual man system for the travel industry based on the multi-mode large model according to claim 2, wherein when the control module calculates the regional reference coefficient, the following formula is satisfied:
；
；
；
wherein ,for regional reference coefficients, ++>For travel type reference index->The values of->Or->Or (b)When the travel type is sightseeing holiday type +.>When the travel type is recreation type +.>When the travel type is cultural knowledge type +.>，/>Is at a preset temperature->Weight index for weather factor, +.>For the selection function of the physical ability reference index +.>Weight index for physical fitness factor, +.>For a selection function from a reference index, +.>A weight index that is a distance factor;
the number of single steps is preset;
is a preset distance.
4. A virtual human system for intelligent service in the travel industry based on a multi-modal large model as claimed in claim 3, wherein the control module, when calculating the selection function of the regional information, satisfies the following equation:
；
wherein ,for the selection function of the region information +.>To->For different area information, ++>To->Thresholds are selected for different region reference coefficients.
5. The intelligent service virtual man system of the travel industry based on the multi-mode big model according to claim 4, wherein the system further comprises an information storage module which is in communication connection with the control module;
the information storage module is used for storing information of the average consumption amount of the park and transmitting the information to the control module;
the multi-mode identification module also extracts information of preset playing time, preset rest time, the number of special people and the total number of people and transmits the information to the control module;
the control module calculates the ratio of the number of special people to the total number of people according to the number of the special people and the information of the total number of people, calculates the reference coefficient of the park according to the ratio of the number of the special people to the total number of people, the reference index with the special people, the average consumption amount of the park, the total number of people, the preset playing time and the preset rest time, calculates the selection function of the recommendation information of the park according to the reference coefficient of the park, obtains the recommendation information of the park according to the selection function of the recommendation information of the park and transmits the recommendation information of the park to the communication module;
and the communication module transmits the park recommendation information to the user terminal.
6. The intelligent service virtual man system for the travel industry based on the multi-mode big model according to claim 5, wherein the control module calculates the reference coefficient of the campus, and the following formula is satisfied:
；
；
wherein ,for the reference coefficient of the park, +.>For the preset play time,/a->For presetting rest time, < > for>For the average amount of money per person in the park +.>For reference index with special population +.>The values of->Or->When there is no special crowd +.>When having special crowd +.>，/>A selection function for a group type reference index;
is the ratio of the number of special people to the total number of people, < ->For the number of special people>Is the total number of people.
7. The intelligent service virtual man system for the travel industry based on the multi-mode big model according to claim 6, wherein the control module calculates the selection function of the recommended information of the park, and the following formula is satisfied:
；
wherein ,selection function for park recommendation information, +.>Is the threshold value of the reference coefficient of the park, when +.>When +.>And not recommending the park to play.
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