Multifunctional guiding system applied to human body intelligent wearing equipment

Abstract

The invention relates to the technical field of intelligent wearable devices, and discloses a multifunctional guiding system applied to a human body intelligent wearable device, and the system comprises a geographic position scanning recognition module which is used for carrying out the scanning recognition of the geographic position of a user, and provides an optimal and most accurate walking route; the merchant appointment and real-time monitoring module is used for making an appointment with a merchant and knowing the dining condition of the merchant in real time; the tourist attraction dynamic monitoring module is used for knowing real-time dynamic information of each tourist attraction in real time through an AI system so as to avoid the peak period of people flow; and the weather and flight information monitoring module is used for knowing weather and flight information in real time through an AI system, reminding a user to avoid inconvenience in travel and automatically arranging convenient travel and cost budget. And the user is helped to avoid the travel peak period, so that congestion is reduced, and the comfort of travel experience is improved. And through the scenic spot recommendation unit, the user can obtain personalized tourism suggestions, so that the convenience and satisfaction degree of tourism are further improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent wearable devices, and in particular to a multifunctional guidance system applied to intelligent wearable devices for human bodies. Background Art

[0002] In recent years, with the rapid development and widespread application of smart wearable devices, users' demand for multifunctional integrated systems has been increasing. Traditional smart wearable devices, such as smart bracelets and smart watches, mainly focus on functions such as health monitoring, exercise recording and simple notifications. However, with the advancement of technology and the diversification of user needs, smart wearable devices need to provide more practical functions and cover a wider range of application scenarios.

[0003] Currently, smart wearable devices on the market still have many deficiencies in terms of functional integration and user experience. For example, in terms of navigation, many devices only provide simple direction guidance, lack the integration of real-time traffic information, and cannot provide users with the best walking routes. In terms of social functions, the interaction between devices and users is relatively simple, making it difficult to achieve in-depth personalized services.

[0004] In order to solve these problems, the present invention proposes a multifunctional guidance system applied to a human intelligent wearable device. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides a multifunctional guidance system applied to a human intelligent wearable device, which solves the problem that the guidance system in the prior art only provides simple direction guidance, lacks the integration of real-time traffic information, and cannot provide users with the best walking route. In terms of social functions, the interaction between the device and the user is relatively simple, and it is difficult to achieve deep personalized services.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a multifunctional guidance system applied to a human intelligent wearable device, comprising:

[0007] The geographic location scanning and recognition module is used to scan and identify the user's geographic location and provide the best and most accurate walking route;

[0008] Merchant reservation and real-time monitoring module, used to make reservations with merchants and understand the merchant's dining situation in real time;

[0009] The dynamic monitoring module of tourist attractions is used to obtain real-time dynamic information of major tourist attractions through the AI ​​system to avoid peak traffic periods;

[0010] Weather and flight information monitoring module, which is used to obtain real-time weather and flight information through the AI ​​system, remind users to avoid travel inconveniences, automatically arrange convenient travel and cost budget, and provide the best time plan;

[0011] The real-name authentication and appointment reminder module is used to implement the user's real-name authentication and appointment reminder functions, and is bound to personal credit to safeguard the interests of individuals and businesses;

[0012] The business processing optimization module is used to process user appointments in real time and make the best arrangements;

[0013] User demand analysis module, used to provide corresponding services according to user descriptions, retain the contents of various completed services, and automatically arrange them;

[0014] Personal big data intelligent analysis module, used to intelligently analyze the user's personal personality, lifestyle, taste preferences, consumption level, and provide the best choice;

[0015] The multi-device connection module is used to establish connections with mobile phones, smart watches, smart homes and tablet devices to achieve interoperability of data and functions.

[0016] Preferably, the geographic location scanning and identification module includes:

[0017] GPS positioning unit, used to accurately locate the user's current location;

[0018] A map data storage unit, used for storing detailed map information;

[0019] A route optimization algorithm unit, used to perform route optimization calculations based on the user's current location and destination;

[0020] The real-time traffic information acquisition unit is used to acquire and integrate real-time traffic information.

[0021] Preferably, the merchant appointment and real-time monitoring module includes:

[0022] Merchant information interface unit, used for exchanging data with merchant system;

[0023] An appointment management unit, used to manage user appointment requests;

[0024] A dining situation monitoring unit is used to obtain and display the merchant's dining situation in real time;

[0025] The reservation status feedback unit is used to feedback the reservation status and update information to the user.

[0026] Preferably, the tourist attraction dynamic monitoring module includes:

[0027] Scenic spot data collection unit, used to collect real-time data of major tourist attractions;

[0028] A crowd flow analysis unit, used to analyze crowd flow data of scenic spots;

[0029] Peak period prediction unit, used to predict the peak period of tourist flow at scenic spots;

[0030] The scenic spot recommendation unit is used to recommend the best visiting time and route to the user based on the analysis results. Preferably, the weather and flight information monitoring module includes:

[0031] A meteorological data acquisition unit, used for acquiring real-time meteorological data;

[0032] A flight information acquisition unit, used to acquire real-time flight information;

[0033] A travel suggestion generation unit, used to generate travel suggestions based on weather and flight information;

[0034] A risk warning unit is used to send warning information to users in case of bad weather or flight delays. Preferably, the real-name authentication and appointment reminder module includes:

[0035] User identity verification unit, used to verify the identity information of the user;

[0036] A credit score interface unit, used to obtain the user's credit score information;

[0037] An appointment reminder unit, used to remind the user before the appointment time;

[0038] The security authentication unit is used to perform additional identity authentication at the key stage of the user's appointment. Preferably, the business processing optimization module includes:

[0039] An appointment time management unit, used to manage the user's appointment time;

[0040] The actual time required calculation unit is used to calculate the actual time required for the user to reach the destination; the task content management unit is used to inform the user of the specific content of the task in advance; the task record storage unit is used to record and store the user's task record.

[0041] Preferably, the user demand analysis module includes:

[0042] A user history data storage unit for storing user history behavior data;

[0043] User demand analysis unit, used to analyze the current needs of users;

[0044] A service recommendation unit, used to recommend matching services based on the analysis results;

[0045] The service recording unit is used to record and store the user's service usage.

[0046] Preferably, the personal big data intelligent analysis module includes:

[0047] A personality analysis unit, used to analyze the user's personal personality color;

[0048] A lifestyle analysis unit, used to analyze the user's lifestyle;

[0049] A taste preference analysis unit, used to analyze the user's taste preference;

[0050] The consumption level analysis unit is used to analyze the user's consumption level.

[0051] A smart wearable device based on the above multifunctional guidance system comprises:

[0052] Base body 1, as the main structure of the wristband device, has an AI cloud processor system installed inside, elastic wristbands are provided at both ends of the base body 1, and a buffer port for ventilation is provided on the wristband, an operation screen for displaying real-time information is installed inside the base body 1, and speakers for collecting and broadcasting sounds are installed on both sides of the base body 1, and a charging interface 1 for charging and information transmission is provided on the top of the base body 1;

[0053] Base 2, as the main structure of the ring device, has an AI cloud processor system installed inside. Rigid rings are installed at both ends of the base 2. A display screen for displaying real-time information is installed on the top of the base 2, as well as microphones installed on both sides for collecting and broadcasting sounds. The side wall of the base 2 is provided with a charging interface 2 for charging and information transmission.

[0054] The present invention provides a multifunctional guidance system applied to a human intelligent wearable device. It has the following beneficial effects:

[0055] 1. The present invention uses a dynamic monitoring module for tourist attractions, so that users can obtain the best travel itinerary. This module collects real-time data of major tourist attractions, including opening hours, passenger flow and weather conditions, and predicts future passenger flow trends and peak periods through big data analysis and time series prediction technology. The ARI MA model is used for time series analysis to provide accurate passenger flow predictions, and the best visiting time and route are recommended in combination with user preferences and actual conditions. This module helps users avoid peak tourist seasons, reduce congestion, and improve the comfort and pleasure of the travel experience. Through the attraction recommendation unit, users can also obtain personalized travel suggestions, further improving the convenience and satisfaction of travel.

[0056] 2. The present invention uses a geographic location scanning and identification module to enable users to obtain the best and most accurate walking route. The module integrates high-precision GPS positioning, detailed map data and real-time traffic information, and optimizes the path using the Dijkstra algorithm to ensure that users reach their destination in the shortest time. The real-time traffic information acquisition unit is connected to the traffic information service platform to provide the latest road conditions and congestion information, and dynamically integrates this information into the path calculation. The module effectively reduces the user's travel time and detour routes, significantly improving travel efficiency. In addition, the real-time update of map data and traffic information further ensures the accuracy and reliability of the route, and enhances the user's overall travel experience.

[0057] 3. Through the business processing optimization module of the present invention, users can significantly improve the efficiency and quality of business processing. This module intelligently arranges the user's appointment time through the appointment time management unit, avoiding appointment time conflicts and long waiting times. The actual time required calculation unit dynamically adjusts the appointment time according to the user's geographical location and traffic conditions to ensure that the user can arrive at the destination on time to handle the business. The processing matter content management unit informs the user of the specific matters that need to be handled in advance, so that the user can be fully prepared, reducing the uncertainty in the business processing process. Finally, through the processing record storage unit, the system can record and store the user's processing records, which is convenient for the user to query and track the processing progress at any time. The intelligent scheduling and time management functions of this module greatly improve the efficiency of business processing and user experience, reduce waiting time and repeated appointments, and ensure the smooth progress and high-quality completion of business processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 is a system architecture diagram of the present invention;

[0059] Figure 2 A schematic diagram of a geographic location scanning and identification module of the present invention;

[0060] Figure 3 A schematic diagram of a merchant reservation and real-time monitoring module of the present invention;

[0061] Figure 4 It is a schematic diagram of a dynamic monitoring module for tourist attractions of the present invention;

[0062] Figure 5 It is a schematic diagram of the weather and flight information monitoring module of the present invention;

[0063] Figure 6 A schematic diagram of a real-name authentication and appointment reminder module of the present invention;

[0064] Figure 7 This is a schematic diagram of the business processing optimization module of the present invention;

[0065] Figure 8 It is a schematic diagram of a user demand analysis module of the present invention;

[0066] Fig. 9 This is a schematic diagram of the personal big data intelligent analysis module of the present invention;

[0067] Fig.10 It is a schematic diagram of the structure of the wristband wearing device of the present invention;

[0068] Fig.11 It is a schematic diagram of the structure of the ring wearing device of the present invention.

[0069] Among them, 1. Base body 1; 2. Wristband; 3. Buffer port; 4. Speaker; 5. Charging port 1; 6. Operation screen; 7. Base body 2; 8. Ring; 9. Display screen; 10. Microphone; 11. Charging port 2. DETAILED DESCRIPTION

[0070] The following will be combined with the drawings in the specification of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0071] Example:

[0072] Please see attached Figure 1 -Attached Fig.11 The embodiment of the present invention provides a multifunctional guidance system applied to a human intelligent wearable device, including:

[0073] Geographic location scanning and recognition module

[0074] First, the system uses the geographic location scanning and recognition module to accurately locate the user's geographic location, and combines real-time traffic information and map data to calculate and provide the optimal walking route.

[0075] In this embodiment:

[0076] GPS Positioning Unit: By integrating a high-precision GPS module, the user's geographic location data is acquired in real time. The unit continuously updates the user's current location and transmits the data to the map data storage unit.

[0077] Map data storage unit: stores detailed electronic map information, including streets, buildings and landmarks. This unit obtains and updates map data through an API interface with a third-party map service provider.

[0078] Route Optimization Algorithm Unit: Use Dijkstra algorithm to implement route optimization through programming. This algorithm takes into account factors such as real-time traffic conditions, road congestion, and user preferences to ensure that the route provided is both fast and efficient.

[0079] Di jkstra algorithm formula:

[0080] 1. Initialize the distance table: the distance from all nodes to the starting point is set to infinity (∞), and the distance from the starting point is set to 0.

[0081] 2. Select the node u with the smallest distance from the starting point from the unvisited nodes and mark it as visited.

[0082] 3. For each unvisited neighbor node v of node u, calculate the distance from the starting point through u to v. If the distance is less than the currently recorded distance, update the distance.

[0083] dist[v]=min(dist[v],dist[u]+weight(u,v))

[0084] Among them, dist[v] is the current shortest distance from the starting point to node v, and weight(u,v) is the edge weight from node u to node v, which can be determined according to the actual traffic conditions and distance (the node location data is provided by the GPS module; the edge weight can be calculated from the distance data provided by the map data storage unit and the traffic condition data provided by the real-time traffic information acquisition unit).

[0085] 4. Repeat steps 2 and 3 until all nodes have been visited.

[0086] Real-time traffic information acquisition unit: Through the API connection with the traffic information service platform, it obtains the latest traffic conditions, including road congestion and accident information, and integrates this information into the route optimization algorithm to provide dynamically adjusted route suggestions.

[0087] In the specific implementation process, the smart ring or smart bracelet worn by the user obtains the current location data through the built-in GPS module, and exchanges data with the server through the wireless communication module. After the server obtains the map data and real-time traffic information, it calculates the optimal route through the algorithm and returns the result to the user.

[0088] Merchant appointment and real-time monitoring module

[0089] Next, the system helps users make reservations with merchants and understand the dining situation of merchants in real time through merchant reservation and real-time monitoring modules.

[0090] In this embodiment:

[0091] Merchant information interface unit: Establish a connection with the merchant system's API interface to obtain the merchant's business status, menu information, and seating situation in real time. The interface can use the RESTful API protocol.

[0092] Reservation management unit: uses the database management system (MySQL) to store and manage user reservation requests, including creating, modifying and canceling reservations. The reservation management unit processes user reservation requests and feeds back reservation results by querying the data of the merchant information interface unit.

[0093] Meal situation monitoring unit: Real-time monitoring of the merchant's dining situation, such as the current number of available seats and queue situation. Regularly refresh the merchant system data through a scheduled task (Cron Job) to ensure that users obtain the latest dining situation.

[0094] Reservation status feedback unit: Feedback reservation status and update information to users. When the reservation status changes, use the message push service (Firebase Cloud Messaging) or SMS gateway (Twilio) to notify users in time.

[0095] In the specific implementation process, the user makes a merchant reservation through the touch screen or voice assistant on the smart ring or smart bracelet. The system sends the reservation request to the merchant information interface unit, obtains real-time merchant information, processes the reservation, and notifies the user of the result through the reservation status feedback unit.

[0096] Tourist attractions dynamic monitoring module

[0097] In order to help users optimize their travel itineraries, the system also integrates a dynamic monitoring module for tourist attractions, providing the best travel recommendations through real-time data analysis and prediction.

[0098] In this embodiment:

[0099] Attraction data collection unit: Through web crawler technology or API connection with the attraction management system, it collects real-time information of major tourist attractions, including opening hours, visitor flow, and weather conditions.

[0100] Crowd flow analysis unit: Use the big data analysis platform (Apache Hadoop) to process and analyze the crowd flow data of scenic spots, compare historical data with current data, and predict the crowd flow trend in the future.

[0101] Peak period prediction unit: Based on the data from the crowd flow analysis unit, the time series analysis algorithm is used to predict the peak period of crowd flow at the scenic spot, and combined with factors such as weather and special events (holidays), accurate peak period prediction is provided.

[0102] Time series analysis formula:

[0103] The model consists of an autoregressive (AR) part, a differencing (I) part, and a moving average (MA) part. The AR part predicts the current value through historical data, the MA part predicts the current value through historical errors, and the differencing part is used to deal with non-stationarity.

[0104] ARI MA(p,d,q) model:

[0105]

[0106] Among them, y t is a time series value, ∈ t is white noise, φ is the autoregressive coefficient, θ j is the moving average coefficient, c is the constant term, p is the order of the AR part, d is the number of differences, and q is the order of the MA part (time series data are obtained through the scenic spot data collection unit, including passenger flow data, weather data, etc.; autoregression coefficients and moving average coefficients are obtained through statistical analysis and fitting of historical data).

[0107] Attraction recommendation unit: Based on user preferences and crowd flow prediction results, the recommendation algorithm (collaborative filtering) is used to recommend the best visiting time and route.

[0108] In the specific implementation process, users can view the real-time data of scenic spots and recommended visiting times through smart rings or smart bracelets. The system obtains data through the scenic spot data collection unit, and after processing by the flow analysis unit and the peak prediction unit, the recommended results are displayed to the user.

[0109] Weather and flight information monitoring module

[0110] In order to ensure that users' travel plans proceed smoothly, the system provides a weather and flight information monitoring module to update relevant information in real time and provide travel suggestions.

[0111] In this embodiment:

[0112] Meteorological data acquisition unit: obtains real-time weather information, including temperature, precipitation, and wind speed, by connecting to the API (OpenWeatherMap) of the meteorological data service platform. The unit refreshes data regularly to ensure the timeliness of the information.

[0113] Flight information acquisition unit: By connecting with the API (FlightAware) of airlines and flight information service platforms, it obtains real-time flight dynamic information, including departure time, delays, and boarding gate changes.

[0114] Travel suggestion generation unit: Based on the acquired weather and flight information, a rule engine (Drools) is used to generate travel suggestions. For example, in case of bad weather conditions, it is recommended that users adjust their travel time or route.

[0115] Risk warning unit: When severe weather or flight delays are detected, warning information is sent to users in a timely manner through message push services or SMS gateways to remind users to make corresponding preparations or adjust plans.

[0116] During the specific implementation process, users obtain real-time weather and flight information through smart rings or smart bracelets. The system regularly updates data through the meteorological data acquisition unit and the flight information acquisition unit. The travel suggestion generation unit generates travel suggestions based on the current information and notifies users through the risk warning unit.

[0117] Real-name authentication and appointment reminder module

[0118] In order to protect the rights and interests of users and merchants, the system also includes real-name authentication and appointment reminder modules, which improve the security of appointment and identity authentication through strict identity authentication and reminder mechanisms.

[0119] In this embodiment:

[0120] User identity verification unit: Verifies user identity and ensures user authenticity by integrating face recognition module (FaceNet), fingerprint recognition module and mobile phone verification code verification module.

[0121] Credit scoring interface unit: connects to the credit scoring system (such as Sesame Credit) through an API to obtain the user's credit scoring information and decides whether to accept the user's reservation request based on the scoring results.

[0122] Appointment reminder unit: Before the appointment time, remind users through message push service, SMS gateway or automatic voice call system (Twilio) to ensure that users arrive on time.

[0123] Security Authentication Unit: Perform additional identity authentication at key stages of booking (such as payment, confirming booking), and use two-factor authentication (such as mobile phone verification code + fingerprint recognition) to further ensure security.

[0124] In the specific implementation process, users use smart rings or smart bracelets to perform real-name authentication and receive reminder notifications before and after the appointment. The system uses the user identity verification unit to perform multiple identity authentication, the credit score interface unit obtains the user's credit score, the appointment reminder unit reminds the user in time, and the security authentication unit performs double verification at key links.

[0125] Business processing optimization module

[0126] The system also provides a business processing optimization module to improve business processing efficiency and user experience through intelligent scheduling and time management.

[0127] In this embodiment:

[0128] Appointment time management unit: Use the time management system (Google Calendar API) to intelligently manage users' appointment times to avoid appointment time conflicts.

[0129] Actual time calculation unit: Based on the user's geographical location and traffic conditions, the distance calculation algorithm is used to calculate the actual time it takes for the user to reach the destination, and the appointment time is dynamically adjusted.

[0130] Distance calculation algorithm formula:

[0131]

[0132] Where: d is the geographical distance between the two points, r is the radius of the earth (about 6371 kilometers), φ1, φ2 are the latitudes of the user's current location and destination, obtained by the GPS module (expressed in radians), λ1, λ2 are the longitudes of the user's current location and destination, obtained by the GPS module (expressed in radians).

[0133] Task content management unit: inform users of the specific content of tasks in advance to ensure that users are fully prepared and improve processing efficiency.

[0134] Processing record storage unit: Use the database system (PostgreSQL) to record and store the user's processing records, so that users can query and track the processing progress.

[0135] During the specific implementation process, the user makes an appointment for business processing time through a smart ring or smart bracelet, the system arranges the time through the appointment time management unit, dynamically adjusts the time through the actual time required calculation unit, and informs the user of the specific content in advance through the processing matter content management unit, and finally records the processing process through the processing record storage unit.

[0136] User needs analysis module

[0137] The system also includes a user demand analysis module, which provides personalized service recommendations by analyzing users' historical behaviors and current needs.

[0138] In this embodiment:

[0139] User history data storage unit: Use the database system (MongoDB) to store users' historical behavior data, including consumption records and usage preferences.

[0140] User demand analysis unit: Based on the user's historical data and current description, use data analysis tools (Python's Pandas and Scikit-learn) to analyze user needs and generate personalized service recommendations.

[0141] Service recommendation unit: Based on the analysis results, use the recommendation algorithm to recommend matching services such as catering, travel, and shopping.

[0142] Recommended algorithm formula:

[0143] User-based collaborative filtering:

[0144]

[0145] Among them, pred(u,i) is the predicted score of user u for item i, is the average rating of user u, r v,i is the rating of item i by user v, sim(u,v) is the similarity between users u and v, and N(u) is the set of users similar to user u (the user's rating data is obtained through the user history data storage unit; the user similarity is obtained by calculating the historical rating data, and the commonly used similarity calculation methods include Pearson correlation coefficient and cosine similarity).

[0146] Service recording unit: records and stores users’ service usage for easy query and tracking.

[0147] During the specific implementation process, the user's historical behavior data is stored by the user history data storage unit, the user demand analysis unit analyzes the data, the service recommendation unit provides recommendations based on the analysis results, and the user's usage is recorded by the service recording unit.

[0148] Personal big data intelligent analysis module

[0149] In order to better understand user characteristics and needs, the system also integrates a personal big data intelligent analysis module, which provides intelligent personality analysis results by comprehensively analyzing the user's personality, lifestyle, taste preferences and consumption level.

[0150] In this embodiment:

[0151] Personality analysis unit: Analyze the user's personal personality through the user's behavioral data and psychological test results using data analysis tools (R language).

[0152] Lifestyle analysis unit: Analyze the user's lifestyle, including daily habits, interests and hobbies.

[0153] Taste preference analysis unit: Use data analysis tools to analyze users' taste preferences based on their historical consumption records and evaluations.

[0154] Consumption level analysis unit: Use data analysis tools to analyze users' consumption levels and capabilities based on their consumption records.

[0155] During the specific implementation process, the system conducts a comprehensive analysis of user data through the personality analysis unit, lifestyle analysis unit, taste preference analysis unit and consumption level analysis unit, and generates personalized analysis results to provide a basis for subsequent service recommendations.

[0156] Multi-device connection module

[0157] The system also provides a multi-device connection module to achieve seamless connection and data exchange with other smart devices, improving the user's overall experience.

[0158] In this embodiment:

[0159] Wireless communication unit: Data interaction with mobile phones, smart watches, smart homes and tablet devices is achieved through Wi-Fi or Bluetooth communication technology.

[0160] Device Identification Unit: Uses the device identification protocol (Zigbee) to identify and connect different types of devices to ensure compatibility and stability between devices.

[0161] Data synchronization unit: Synchronizes user data and settings between multiple devices, using the data synchronization protocol (MQTT) to ensure data consistency.

[0162] Device status monitoring unit: monitors the status of connected devices and uses status monitoring tools (Nagios) to provide timely feedback on device operation and fault information.

[0163] During the specific implementation process, the system realizes data interaction with other devices through the wireless communication unit, the device identification unit identifies the connected device, the data synchronization unit synchronizes the data, and the device status monitoring unit monitors the device status and provides timely feedback.

[0164] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A multifunctional guidance system for human intelligent wearable devices, It is characterized in that include: The geographic location scanning and recognition module is used to scan and identify the user's geographic location and provide the best and most accurate walking route; Merchant reservation and real-time monitoring module, used to make reservations with merchants and understand the merchant's dining situation in real time; The dynamic monitoring module of tourist attractions is used to obtain real-time dynamic information of major tourist attractions through the AI ​​system to avoid peak traffic periods; The weather and flight information monitoring module is used to obtain real-time weather and flight information through the AI ​​system, remind users to avoid travel inconveniences, automatically arrange convenient travel and cost budgets, and provide the best time plan; The real-name authentication and appointment reminder module is used to implement the user's real-name authentication and appointment reminder functions, and is bound to personal credit to safeguard the interests of individuals and businesses; The business processing optimization module is used to process user appointments in real time and make the best arrangements; User demand analysis module, used to provide corresponding services according to user descriptions, retain the contents of various completed services, and automatically arrange them; Personal big data intelligent analysis module, used to intelligently analyze the user's personal personality, lifestyle, taste preferences, consumption level, and provide the best choice; The multi-device connection module is used to establish connections with mobile phones, smart watches, smart homes and tablet devices to achieve interoperability of data and functions.

2. A multifunctional guidance system for a human intelligent wearable device according to claim 1, It is characterized in that The geographic location scanning and identification module includes: GPS positioning unit, used to accurately locate the user's current location; A map data storage unit, used for storing detailed map information; A route optimization algorithm unit, used to perform route optimization calculations based on the user's current location and destination; The real-time traffic information acquisition unit is used to acquire and integrate real-time traffic information.

3. A multifunctional guidance system for a human intelligent wearable device according to claim 1, It is characterized in that The merchant reservation and real-time monitoring module includes: Merchant information interface unit, used for exchanging data with merchant system; An appointment management unit, used to manage user appointment requests; A dining situation monitoring unit is used to obtain and display the merchant's dining situation in real time; The reservation status feedback unit is used to feedback the reservation status and update information to the user.

4. A multifunctional guidance system for a human intelligent wearable device according to claim 1, It is characterized in that The tourist attraction dynamic monitoring module includes: Scenic spot data collection unit, used to collect real-time data of major tourist attractions; A crowd flow analysis unit, used to analyze crowd flow data of scenic spots; Peak period prediction unit, used to predict the peak period of tourist flow at scenic spots; The attraction recommendation unit is used to recommend the best visiting time and route to users based on the analysis results.

5. A multifunctional guidance system for a human intelligent wearable device according to claim 1, It is characterized in that The weather and flight information monitoring module includes: A meteorological data acquisition unit, used for acquiring real-time meteorological data; A flight information acquisition unit, used to acquire real-time flight information; A travel suggestion generation unit, used to generate travel suggestions based on weather and flight information; The risk warning unit is used to send warning information to users in case of bad weather or flight delays.

6. A multifunctional guidance system for a human intelligent wearable device according to claim 1, It is characterized in that The real-name authentication and appointment reminder module includes: User identity verification unit, used to verify the identity information of the user; A credit score interface unit, used to obtain the user's credit score information; An appointment reminder unit, used to remind the user before the appointment time; The security authentication unit is used to perform additional identity authentication at key stages of user reservations.

7. A multifunctional guidance system for a human intelligent wearable device according to claim 1, It is characterized in that The business handling optimization module includes: An appointment time management unit, used to manage the user's appointment time; An actual time calculation unit, used to calculate the actual time required for the user to travel to the destination; The task content management unit is used to inform the user of the specific content of the task in advance; The processing record storage unit is used to record and store the user's processing records.

8. A multifunctional guidance system for a human intelligent wearable device according to claim 1, It is characterized in that The user demand analysis module includes: A user history data storage unit for storing user history behavior data; User demand analysis unit, used to analyze the current needs of users; A service recommendation unit, used to recommend matching services based on the analysis results; The service recording unit is used to record and store the user's service usage.

9. The multifunctional guidance system for a human intelligent wearable device according to claim 1, It is characterized in that The personal big data intelligent analysis module includes: A personality analysis unit, used to analyze the user's personal personality color; A lifestyle analysis unit, used to analyze the user's lifestyle; A taste preference analysis unit, used to analyze the user's taste preference; The consumption level analysis unit is used to analyze the user's consumption level.

10. A smart wearable device based on the multifunctional guidance system of claim 1, It is characterized in that include: A base (1) is a main structure of a wristband device, and an AI cloud processor system is installed inside the base (1). Both ends of the base (1) are provided with wristbands (2) of an elastic structure, and a buffer port (3) for ventilation is provided on the wristband (2). An operation screen (6) for displaying real-time information is installed inside the base (1), and loudspeakers (4) for collecting and broadcasting sounds are installed on both sides of the base (1). A charging interface (5) for charging and information transmission is arranged on the top of the base (1); The base body 2 (7) is the main structure of the finger ring device, and an AI cloud processor system is installed inside the base body 2 (7). Rigid rings (8) are installed at both ends of the base body 2 (7). A display screen (9) for displaying real-time information is installed on the top of the base body 2 (7), and microphones (10) for collecting and broadcasting sounds are installed on both sides. The side wall of the base body 2 (7) is provided with a charging interface 2 (11) for charging and information transmission.

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