A meteorological information intelligent accompanying service system and method for multiple scenarios

Abstract

The present invention discloses a meteorological information intelligent accompanying service system and method for multiple scenarios. The system adopts a "cloud + terminal" architecture. The cloud platform can monitor and perceive the activity process of the user terminal in real time, and provide comprehensive reminder services such as meteorological information that meets the needs of the scenario before, during and after the activity time period. The service content includes real-time meteorological information, meteorological forecast information, meteorological risk warning information, and various important reminder information for activity scenarios. By customizing the service, users can obtain the comprehensive meteorological environment information service pushed by the cloud platform in a single scenario or multiple scenario activities in a timely and effective manner, providing effective information guarantee for the safe and efficient completion of scenario activities.

Description

Technical Field

[0001] The present invention belongs to the technical field of meteorological information services, and in particular relates to a meteorological information intelligent accompanying service system and method for multiple scenarios. Background Art

[0002] With the popularization and application of mobile communication technology, it is becoming more and more convenient for people to obtain meteorological information services. Users can obtain a variety of meteorological information services provided by Internet meteorological information service providers anytime and anywhere through smart phones and wearable devices (such as smart watches, smart bracelets or smart glasses, etc.). Since these meteorological information services are common services for the general public, whether the information can reach the terminal devices used by users and whether it can cause users to effectively understand meteorological information, especially meteorological risks, mainly depends on the user's active retrieval and analysis behavior (such as users can use a certain meteorological APP to query future weather, or query the weather conditions on future travel routes based on a certain map service, etc.). These meteorological information services have not yet interacted with users extensively and deeply to continuously perceive and understand the activity scenes that users are about to or are in. Therefore, it is difficult to provide users with more meteorological and related service information required for the activity scenes, which may result in potential meteorological risks caused by the lack of active retrieval and analysis behaviors of users.

[0003] For existing Internet meteorological information services, in addition to meeting the general needs of the general public for universal information retrieval, it is also necessary to provide decision-making meteorological information services that meet the needs of different professions, so that meteorological information can be more deeply integrated into various industries such as life and production. These innovative applications have been proven in fields such as agricultural meteorology. In order to effectively improve the two-way cognition between meteorological information services and users, improvements can be made in the following two aspects. First, meteorological information services should provide users with meteorological comprehensive information service solutions for different types of scenarios, so that users can preset activity plans for different scenarios such as personal travel, so that meteorological comprehensive information services can understand and continue to provide services in a digital way to accompany users' activity plans; second, the terminal devices used by users should be able to continuously feed back real-time information such as the user's location to the meteorological comprehensive information service, ensuring that the meteorological comprehensive information service can inform users in advance or in real time of the meteorological impacts that their activity scenarios may be affected by and the various measures recommended to be taken based on the user's actual situation.

[0004] With the development of communication technology and meteorological science and technology, different industries have put forward higher requirements for intelligent environmental information services such as smart meteorology and smart travel. Meteorological information has further penetrated into the development of various industries, and it has become inevitable to provide networked, personalized and professional meteorological comprehensive information services. Therefore, the development and application of this multi-scenario meteorological information intelligent accompanying service system has a broad market. Summary of the invention

[0005] Purpose of the invention: In view of the deficiencies in existing meteorological information service technology, the present invention provides a meteorological information intelligent accompanying service system for multiple scenarios. The system adopts a "cloud + terminal" architecture. The cloud platform can monitor and perceive the activity process of the user terminal in real time, and provide comprehensive reminder services such as meteorological information that meets the needs of the scene before, during, and after the activity time period. The service content includes real-time meteorological information, meteorological forecast information, meteorological risk warning information, and various important reminder information for activity scenes. By customizing this service, users can obtain the comprehensive meteorological environment information service pushed by the cloud platform in a single scene or multiple scene switching in a timely and effective manner, providing effective information guarantee for the safe and efficient completion of scene activities.

[0006] The technical solution adopted by the present invention is a meteorological information intelligent accompanying service system for multiple scenarios, wherein a plurality of meteorological information accompanying service terminals are connected to a meteorological information intelligent accompanying service cloud platform via a mobile communication network;

[0007] The meteorological information accompanying service terminal includes a data acquisition module, a data storage module, and a meteorological information intelligent accompanying service agent system;

[0008] The data acquisition module comprises:

[0009] 1) Temperature sensor, used to collect human wrist temperature;

[0010] 2) Heart rate sensor, used to collect human heart rate;

[0011] 3) Location sensor, used to collect user's current location information.

[0012] The data acquisition module is connected to the data storage module, and the data storage module is used to locally store the information collected by the data acquisition module.

[0013] The meteorological information intelligent accompanying service agent system is connected to the data storage module, and the meteorological information intelligent accompanying service agent system includes:

[0014] 1) User activity scenario customization service module;

[0015] This module provides users with the function of setting one or more specified time intervals / moments to engage in a certain type of activity within a certain geographical scope, and provides preset customized information for the meteorological information intelligent accompanying service cloud platform to understand user activity plans and activity scenario types and realize accompanying meteorological information intelligent services.

[0016] 2) User scenario data cyclic sending module;

[0017] This module is responsible for continuously sending the data collected at the meteorological information accompanying service terminal to the meteorological information intelligent accompanying service cloud platform, providing data support for the cloud platform to continuously and accurately grasp the location, temperature, heart rate and other vital signs information of each terminal user.

[0018] 3) User scenario comprehensive information receiving module

[0019] This module is responsible for receiving and storing comprehensive information such as weather and early warning reminders that is continuously pushed by the meteorological information intelligent accompanying service cloud platform to each terminal user.

[0020] 4) User scenario information reminder management module.

[0021] This module is responsible for sending reminder information to different terminal users in a timely manner in various ways such as sound, vibration and interface display according to the information processing mechanism.

[0022] The meteorological information intelligent accompanying service cloud platform includes:

[0023] 1) User management module;

[0024] This module is responsible for managing the registered user information of the meteorological information intelligent accompanying service cloud platform, including establishing the unique identity of the terminal user and providing information support for subsequent accurate accompanying services.

[0025] 2) Scenario customization module;

[0026] This module provides users with the service function of setting one or more specified time intervals / times to engage in a certain type of activity within a certain geographical range, and provides preset customized information for the meteorological information intelligent accompanying service cloud platform to understand user activity plans and realize accompanying meteorological information intelligent services. Users can log in to their personal accounts on the terminal or through the browser, enter the above information, and obtain the meteorological comprehensive information service function associated with the scene.

[0027] 3) Scenario knowledge management module;

[0028] This module provides relevant knowledge cognition and computing services for the activity scenarios set by users, so that different terminal users can obtain decision-making information services that meet the needs of the scenario in addition to meteorological information in advance or in time before, during and after their activity time period. This information includes but is not limited to important reminder information such as travel preparation, equipment to be worn, activity routes, risk prevention, etc. Through these comprehensive information services, users' awareness of potential meteorological risks and avoidance is improved when planning and executing activities in this scenario.

[0029] For the four types of elements, namely, different activity scenarios, scenario actions, meteorological influencing factors, and safety measures, the scenario knowledge management module uses prior knowledge to distinguish concepts, define semantics, and describe relationships for each element, and constructs a knowledge graph based on the SAES four-tuple model, SAES = {Scenario, Action, Environment, Security}, where Scenario represents the activity scenario, Action represents the scenario action, Environment represents the meteorological influencing factors, and Security represents the safety measures. When there is a meteorological disaster risk, the less effective the safety measures are, the higher the safety risk value will be.

[0030] Users move in different time sequences and spatial ranges, dynamically switching to the corresponding activity scenes. According to the user's own conditions and scene actions, meteorological influencing factors and safety measures information are scheduled in advance or in real time, providing knowledge services for the intelligent accompanying information calculation module reasoning model to calculate the advance or current meteorological risk information.

[0031] 4) Meteorological information management module;

[0032] This module is responsible for the comprehensive management of meteorological information on the cloud platform, including the acquisition, processing, storage of multi-source meteorological data and the production of meteorological thematic product information, providing refined meteorological real-time and forecast information services for different terminal users to carry out activities in different scenarios.

[0033] 5) Intelligent accompanying information receiving module;

[0034] This module is responsible for receiving and storing parameter information such as user location that is continuously collected and reported by different terminal users, ensuring that the cloud platform can continuously and stably provide high-quality information push services based on the activities of terminal users.

[0035] 6) Intelligent accompanying information calculation module;

[0036] This module is responsible for calculating the comprehensive information that should be pushed to the user in this scenario based on the task sequence of activity scenarios preset by different terminal users, based on real-time information such as user location, as well as the meteorological risks and avoidance knowledge involved in the user's activity scenario, combined with the actual meteorological conditions and forecast warning information of the location point, action route and activity area, based on the inference model and in a cyclical manner according to the reminder sequence, including actual meteorological information, meteorological forecast information, meteorological risk warning information and various important prompt information for the activity scenario.

[0037] The inference model is the key to whether users can obtain high-quality and effective reminder information. Usually, if only location-based weather information services are provided, there are already many channels for obtaining such services. Therefore, the inference model of the present invention is different from other location weather information in terms of features including:

[0038] Provide users with real-time information on their current location and weather information on upcoming locations, routes or areas;

[0039] Based on the Collaborative Calculation of Environmental Risk (CCER) model, users are provided with the potential impact of the above-mentioned meteorological information on them, especially to remind users of the procedures for self-checking measures to deal with weather risks if they proceed with their actions as planned;

[0040] Based on the Collaborative Calculation of Environmental Risk (CCER) model, risk response collaborative self-check reminders for the same weather background are carried out among users of different roles who are participating in the same activity, at or about to enter a designated point, path, and area, so as to incorporate professional knowledge on responding to weather risks into the reasoning and calculation process to reduce or lower potential cognitive limitations caused by lack of knowledge or insufficient awareness;

[0041] 7) Intelligent accompanying information push module;

[0042] This module is responsible for continuously pushing the comprehensive information calculated by the intelligent accompanying information calculation module and the feedback information of message reach to different terminal users, ensuring that users can continuously and stably obtain high-quality information push services.

[0043] 8) Intelligent accompanying information task scheduling module;

[0044] This module is responsible for the comprehensive scheduling of tasks of the meteorological information intelligent accompanying service cloud platform. It is the core engine for the operation of the cloud platform. Through the comprehensive management of various services on the cloud platform, comprehensive processing of data and "cloud + terminal" information flow, it realizes continuous and stable intelligent accompanying comprehensive information services for multiple scenarios and multiple users.

[0045] 9) Cloud platform system management module.

[0046] This module is responsible for the comprehensive analysis and management of cloud platform system configuration, system logs, and operating performance.

[0047] Beneficial effects:

[0048] The system adopts a "cloud + terminal" architecture. The cloud platform can monitor and perceive the activity process of the user in real time, and continuously perceive and understand the activity scene that the user is about to or is in before, during and after the activity time period, and provide comprehensive meteorological information reminder services such as meteorological real-time information, meteorological forecast information, meteorological risk warning information, and various important reminder information of the activity scene that meet the needs of the scene. By customizing this service, users can get the comprehensive meteorological environment information service pushed by the cloud platform in a single scene or multiple scene switching in a timely and effective manner, reducing the potential meteorological risks caused by the lack of active retrieval and analysis behavior of users, and providing effective information guarantee for users to complete scene activities safely and efficiently. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is an overall schematic diagram of the system of the present invention;

[0050] Figure 2 This is a schematic diagram of a meteorological information accompanying service terminal of the system of the present invention;

[0051] Figure 3 It is a principle flow chart of the method of the present invention;

[0052] Figure 4 Schematic diagram of the Collaborative Computing of Environmental Risks (CCER) model. DETAILED DESCRIPTION

[0053] The present invention is further described below in conjunction with the accompanying drawings and specific embodiments. It should be emphasized that the following description is only exemplary and is not intended to limit the scope of the present invention and its application.

[0054] The present invention provides a multi-scenario meteorological information intelligent accompanying service method, which is divided into the following steps:

[0055] Step 1: The user logs in to his / her personal account on a terminal device or through a browser on a personal computer and enters the preset plan information of a certain type of scene activity, including: the plan content of engaging in a certain type of scene activity within a certain geographical range within one or more specified time intervals / times, as well as personal customized information such as information reminder methods;

[0056] Step 2, the meteorological information intelligent accompanying service cloud platform intelligent accompanying information receiving module receives and stores the scene activity plan information submitted by the user;

[0057] Step 3: The intelligent accompanying information service scheduling module of the meteorological information intelligent accompanying service cloud platform begins to include the newly added scene activities into the meteorological information intelligent accompanying service queue;

[0058] Step 4: The meteorological information management module of the meteorological information intelligent accompanying service cloud platform continuously manages the meteorological information of the cloud platform, including the acquisition, processing, storage of multi-source meteorological data and the production of meteorological thematic product information, so as to provide refined meteorological real-time and forecast information services for different end users to carry out activities in different scenarios;

[0059] Step 5: The user scenario data circular sending module of the meteorological information intelligent accompanying service agent system continuously sends the data collected at the meteorological information accompanying service terminal to the meteorological information intelligent accompanying service cloud platform, providing data support for the cloud service to continuously and accurately grasp the location, temperature, heart rate and other vital signs information of each terminal user.

[0060] Step 6: The intelligent accompanying information receiving module of the meteorological information intelligent accompanying service cloud platform continuously receives and stores real-time information such as user location continuously collected and reported by different terminal users, ensuring that the cloud platform can continuously and stably provide high-quality information push services based on the activities of terminal users.

[0061] Step 7: The intelligent accompanying information calculation module of the meteorological information intelligent accompanying service cloud platform continuously calculates the comprehensive information that should be pushed to the user in the scene in real time according to the task sequence of the activity scenes preset by different terminal users and the real-time information such as the user's location obtained in real time, including the real-time meteorological information, meteorological forecast information, meteorological risk warning information and various important prompt information of the activity scene;

[0062] Step 8: The intelligent accompanying information push module of the meteorological information intelligent accompanying service cloud platform continuously pushes the comprehensive information calculated by the intelligent accompanying information calculation module to different terminal users, ensuring that users can continuously and stably obtain high-quality information push services;

[0063] Step 9: The user scenario comprehensive information receiving module of the meteorological information intelligent accompanying service agent system continuously receives and stores comprehensive information such as weather and early warning reminders continuously pushed by the meteorological information intelligent accompanying service cloud platform to each terminal user;

[0064] Step 10, the user scenario information reminder management module of the meteorological information intelligent accompanying service agent system continues to issue reminder information to different terminal users in a timely manner in various ways such as sound, vibration and interface display according to the information processing mechanism.

[0065] Figure 4This is a schematic diagram of the Collaborative Calculation of Environmental Risk (CCER) model. The essence of the Collaborative Calculation of Environmental Risk (CCER) model is to follow the principles of division and use of disaster-causing factors, disaster-prone environments and disaster-bearing bodies in risk assessment theory, and to pre- or real-time dispatch meteorological influencing factors and safety measures information according to the different conditions and scenario actions of different user entities, and calculate the meteorological risk information faced by the collaborative group in advance or currently.

[0066] The disaster-causing factors of the environmental risk collaborative calculation model include typhoons, heavy rains, lightning, strong winds, high temperatures, cold, hail, geological disasters, etc.

[0067] The disaster-prone environment of the environmental risk collaborative calculation model includes scene terrain, ground elevation, forest vegetation, river network density, etc.

[0068] The disaster-bearing bodies of the environmental risk collaborative calculation model include user entities, user site buildings, user site traffic roads, etc.

[0069] The environmental risk collaborative calculation model adopts hierarchical analysis, fuzzy comprehensive evaluation, grey theory and other evaluation methods according to the different characteristics of meteorological disaster risk assessment in activity scenarios, and constructs an evaluation index system based on the scene activity meteorological risk knowledge graph constructed by the scene knowledge management module based on the SAES four-tuple model, so as to conduct meteorological risk assessment for the corresponding scene activities.

[0070] The environmental risk collaborative calculation model calls the rolling released meteorological disaster forecast and warning information for iterative calculation based on different scenario actions on the activity scenario time series chain, and calculates the meteorological disaster risks that may be encountered by user subjects participating in various special activities in different spatial ranges on the action time series chain according to the time and space scope of different scenario actions, such as location points, action routes, and action areas, and issues risk warning prompts in advance and continuously, so as to remind user subjects to take decisive and effective risk inspection and avoidance measures to the greatest extent and at the earliest time.

[0071] The main feature of the environmental risk collaborative calculation model that distinguishes it from the meteorological disaster risk assessment for a single user entity is that the risk factors associated with each type of user entity in the group of users participating in the activity scenario are included in the construction of the environmental risk indicator system and the collaborative calculation process. Its advantage is that it takes activities as the main line, and through risk collaborative calculation, it aggregates the risk factors related to the activity group to the cloud. Through risk association analysis, fusion and redistribution, it expands the risk perception scope of a single user entity, and further enhances the unified understanding of environmental risks by all members of the group.

[0072] Through the above-mentioned additional risk warning information, the accompanying decision-making support function of risk reasoning can provide users with potential unknown risk tracking reminders from a broader range, thereby providing users with further intelligent accompanying reminder services when engaging in scene activities related to meteorological risks.

Claims

1. A multi-scenario meteorological information intelligent accompanying service system, characterized by: Multiple meteorological information accompanying service terminals are connected to the meteorological information intelligent accompanying service cloud platform through mobile communication networks; The meteorological information accompanying service terminal includes a data acquisition module, a data storage module, and a meteorological information intelligent accompanying service agent system; The data acquisition module comprises: 1) Temperature sensor, used to collect human wrist temperature; 2) Heart rate sensor, used to collect human heart rate; 3) Location sensor, used to collect user's current location information; The data acquisition module is connected to the data storage module, and the data storage module is used to locally store the information collected by the data acquisition module; The meteorological information intelligent accompanying service agent system is connected to the data storage module, and the meteorological information intelligent accompanying service agent system includes: 1) User activity scenario customization service module This module provides users with the function of setting one or more specified time intervals / times to engage in a certain type of activity within a certain geographical range, and provides preset customized information for the meteorological information intelligent accompanying service cloud platform to understand user activity plans and activity scenario types and realize accompanying meteorological information intelligent services; 2) User scenario data cyclic sending module This module is responsible for continuously sending the data collected by the meteorological information accompanying service terminal to the meteorological information intelligent accompanying service cloud platform, providing data support for the backend cloud service to continuously and accurately grasp the location, temperature, heart rate and other vital signs information of each terminal user; 3) User scenario comprehensive information receiving module This module is responsible for receiving and storing comprehensive information such as weather and early warning reminders that are continuously pushed by the meteorological information intelligent accompanying service cloud platform to each terminal user; 4) User scenario information reminder management module This module is responsible for sending reminder messages to different terminal users in a timely manner in various ways such as sound, vibration and interface display according to the information processing mechanism; The meteorological information intelligent accompanying service cloud platform includes: 1) User management module This module is responsible for managing the registered user information of the meteorological information intelligent accompanying service cloud platform, including establishing the unique identity of the terminal user and providing information support for subsequent accurate accompanying services; 2) Scene customization module This module provides users with the service function of setting one or more specified time intervals / times to engage in a certain type of activity within a certain geographical range, and provides preset customized information for the meteorological information intelligent accompanying service cloud platform to understand user activity plans and realize accompanying meteorological information intelligent services; users log in to their personal accounts on the terminal or through the browser, enter the above information, and then obtain the meteorological comprehensive information service function associated with the scene; 3) Scenario Knowledge Management Module This module provides relevant knowledge cognition and computing services for the activity scenarios set by users, so that different end users can obtain decision-making information services that meet the needs of the scenario in advance or in a timely manner in addition to meteorological information before, during, and after their activity time period. This information includes but is not limited to important reminder information such as travel preparation, equipment to be worn, activity routes, and risk prevention. Through these comprehensive information services, users can improve their awareness of potential meteorological risks and avoidance when planning and executing activities in this scenario; 4) Meteorological information management module This module is responsible for the comprehensive management of meteorological information on the cloud platform, including the acquisition, processing, storage of multi-source meteorological data and the production of meteorological thematic product information, providing refined meteorological real-time and forecast information services for different end users to carry out activities in different scenarios; 5) Intelligent accompanying information receiving module This module is responsible for receiving and storing parameter information such as user location that is continuously collected and reported by different end users, ensuring that the cloud platform can continuously and stably provide high-quality information push services based on the activities of end users; 6) Intelligent accompanying information calculation module This module is responsible for calculating the comprehensive information that should be pushed to the user in this scenario based on the task sequence of the activity scenarios preset by different terminal users, based on the real-time information such as the user's location, as well as the meteorological risks and avoidance knowledge involved in the user's activity scenario, combined with the meteorological actual and forecast warning information of the location point, action route and activity area, based on the inference model, and according to the reminder sequence. The information includes the actual meteorological information, meteorological forecast information, meteorological risk warning information, and various important reminder information of the activity scenario; 7) Intelligent accompanying information push module This module is responsible for continuously pushing the comprehensive information calculated by the intelligent accompanying information calculation module and the feedback information of message reach to different terminal users, ensuring that users can continuously and stably obtain high-quality information push services; 8) Intelligent accompanying information task scheduling module This module is responsible for the comprehensive scheduling of tasks on the meteorological information intelligent accompanying service cloud platform and is the core engine for the operation of the cloud platform. Through the comprehensive management of various services on the cloud platform, the comprehensive processing of data and the "cloud + terminal" information flow, it realizes continuous and stable intelligent accompanying comprehensive information services for multiple scenarios and multiple users. 9) Cloud platform system management module This module is responsible for the comprehensive analysis and management of cloud platform system configuration, system logs, and operating performance.

2. According to claim 1, a multi-scenario-oriented meteorological information intelligent accompanying service system is characterized by: The mobile communication network is a 4G or 5G communication network.

3. According to claim 1, a multi-scenario-oriented meteorological information intelligent accompanying service system is characterized in that: The inference model in the intelligent accompanying information calculation module has the following features that are different from other location meteorological information: Provide users with real-time information on their current location and weather information on upcoming locations, routes or areas; Based on the collaborative calculation model of environmental risks, users are provided with the potential impact of the above-mentioned meteorological information on them, especially to remind users of the procedures they should follow to conduct self-inspection of measures to cope with weather risks if they proceed with their actions as planned; Based on the environmental risk collaborative calculation model, collaborative self-check reminders for risk response in the same weather background are carried out among users of different roles who are participating in the same activity and are at or about to enter designated points, paths and areas, thereby incorporating professional knowledge on responding to weather risks into the reasoning and calculation process to reduce or mitigate potential cognitive limitations caused by lack of knowledge or insufficient awareness.

4. According to claim 3, a multi-scenario-oriented meteorological information intelligent accompanying service system is characterized in that: The environmental risk collaborative calculation model is essentially based on the principles of division and use of disaster-causing factors, disaster-prone environments and disaster-bearing bodies in risk assessment theory. It dispatches meteorological influencing factors and safety measures information in advance or in real time according to the different conditions and scenario actions of different user subjects, and calculates the meteorological risk information faced by the collaborative group in advance or currently.

5. The multi-scenario-oriented meteorological information intelligent accompanying service system according to claim 4 is characterized in that: The disaster factors of the environmental risk collaborative calculation model include typhoons, heavy rains, lightning, strong winds, high temperatures, cold, hail, and geological disasters.

6. The multi-scenario-oriented meteorological information intelligent accompanying service system according to claim 4 is characterized in that: The disaster-prone environment of the environmental risk collaborative calculation model includes scene terrain, ground elevation, forest vegetation, and river network density.

7. The multi-scenario-oriented meteorological information intelligent accompanying service system according to claim 4 is characterized in that: The disaster-bearing bodies of the environmental risk collaborative calculation model include user entities, user site buildings, and user site traffic roads.

8. A multi-scenario-oriented meteorological information intelligent accompanying service system according to any one of claims 4 to 7, characterized in that: The main feature of the environmental risk collaborative calculation model that distinguishes it from the meteorological disaster risk assessment for a single user entity is that the risk factors associated with each type of user entity in the group of users participating in the activity scenario are included in the construction of the environmental risk indicator system and the collaborative calculation process. Its advantage is that it takes activities as the main line, and through risk collaborative calculation, it aggregates the risk factors related to the activity group to the cloud. Through risk association analysis, fusion and redistribution, it expands the risk perception scope of a single user entity, and further enhances the unified understanding of environmental risks by all members of the group.

9. A service method based on the multi-scenario meteorological information intelligent accompanying service system according to claim 1, characterized in that: The following steps are involved: Step 1: The user logs in to his / her personal account on a terminal device or through a browser on a personal computer and enters the preset plan information of a certain type of scene activity, including: the plan content of engaging in a certain type of scene activity within a certain geographical range within one or more specified time intervals / times, as well as personal customized information such as information reminder methods; Step 2, the meteorological information intelligent accompanying service cloud platform intelligent accompanying information receiving module receives and stores the scene activity plan information submitted by the user; Step 3: The intelligent accompanying information service scheduling module of the meteorological information intelligent accompanying service cloud platform begins to include the newly added scene activities into the meteorological information intelligent accompanying service queue; Step 4: The meteorological information management module of the meteorological information intelligent accompanying service cloud platform continuously manages the meteorological information of the cloud platform, including the acquisition, processing, storage of multi-source meteorological data and the production of meteorological thematic product information, so as to provide refined meteorological real-time and forecast information services for different end users to carry out activities in different scenarios; Step 5: The user scenario data cyclic sending module of the meteorological information intelligent accompanying service agent system continuously sends the data collected at the meteorological information accompanying service terminal to the meteorological information intelligent accompanying service cloud platform, providing data support for the cloud service to continuously and accurately grasp the location, temperature, heart rate and other vital signs information of each terminal user; Step 6: The intelligent accompanying information receiving module of the meteorological information intelligent accompanying service cloud platform continuously receives and stores real-time information such as user locations continuously collected and reported by different terminal users, ensuring that the cloud platform can continuously and stably provide high-quality information push services based on the activities of terminal users; Step 7: The intelligent accompanying information calculation module of the meteorological information intelligent accompanying service cloud platform continuously calculates the comprehensive information that should be pushed to the user in the scene in real time according to the task sequence of the activity scenes preset by different terminal users and the real-time information such as the user's location obtained in real time, including the real-time meteorological information, meteorological forecast information, meteorological risk warning information and various important prompt information of the activity scene; Step 8: The intelligent accompanying information push module of the meteorological information intelligent accompanying service cloud platform continuously pushes the comprehensive information calculated by the intelligent accompanying information calculation module to different terminal users, ensuring that users can continuously and stably obtain high-quality information push services; Step 9: The user scenario comprehensive information receiving module of the meteorological information intelligent accompanying service agent system continuously receives and stores comprehensive information such as weather and early warning reminders continuously pushed by the meteorological information intelligent accompanying service cloud platform to each terminal user; Step 10, the user scenario information reminder management module of the meteorological information intelligent accompanying service agent system continues to issue reminder information to different terminal users in a timely manner in various ways such as sound, vibration and interface display according to the information processing mechanism.

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