CN114757584A - Multi-scene-oriented meteorological information intelligent accompanying service system and method - Google Patents
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Abstract
The invention discloses a multi-scene-oriented meteorological information intelligent accompanying service system and a multi-scene-oriented meteorological information intelligent accompanying service method. The user can effectively obtain meteorological environment information comprehensive service pushed by the cloud platform in time in single scene or multiple scene activities by customizing the service, and effective information guarantee is provided for safely and efficiently completing the scene activities.
Description
Technical Field
The invention belongs to the technical field of meteorological information service, and particularly relates to a multi-scene-oriented meteorological information intelligent accompanying service system and a multi-scene-oriented meteorological information intelligent accompanying service method.
Background
Along with the popularization and application of mobile communication technology, people acquire meteorological information service more and more conveniently. The user can acquire various weather information services provided by the internet weather information service provider at any time and any place through a smart phone and wearable equipment (such as a smart watch, a smart bracelet or smart glasses and the like). Since these weather information services are popular services, whether the information can reach the terminal device used by the user, and whether the information can cause the user to effectively recognize weather information, especially weather risks, mainly depends on the active retrieval and analysis behavior of the user (for example, the user may use a weather APP to query future weather, or query weather conditions on a future travel route based on a map service, etc.). These weather information services have not been widely and deeply interactive with users to continuously sense and understand the activity scene that the users are about to or are in, so it is difficult to provide the users with weather and associated service information that is needed further for the activity scene, thereby potentially creating weather risks due to the lack of active user behavior retrieval and analysis.
For the existing internet meteorological information service, besides meeting the general requirements of the public information retrieval, decision meteorological information services meeting different professional requirements need to be provided, so that meteorological information can enter into various industries such as life and production more deeply, and the innovative applications are proved in the fields of agricultural meteorology and the like. In order to effectively improve the two-way cognition between the weather information service and the user, the two aspects can be improved. Firstly, the weather information service provides a weather integrated information service solution with different scenes for a user, so that the user can preset activity plans of different scenes such as personal trip and the like, and the weather integrated information service can understand in a digital mode and continuously develop services along with the activity plan of the user; secondly, the terminal equipment used by the user can continuously feed back the live information such as the position of the user and the like to the meteorological comprehensive information service, so that the meteorological comprehensive information service can inform the user of weather influence possibly applied to the activity scene in advance or in real time according to the live information of the user and suggest various measures to be taken.
With the development of communication technology and weather technology, different industries have higher requirements on intelligent environmental information services such as smart weather and smart travel, and weather information further develops in various industries, so that the provision of networked, personalized and specialized weather comprehensive information services becomes inevitable. Therefore, the multi-scene oriented meteorological information intelligent accompanying service system has a wide market in development and application.
Disclosure of Invention
The invention aims to: aiming at the technical defects of the existing meteorological information service, the invention provides a multi-scene-oriented meteorological information intelligent accompanying service system. The system adopts a 'cloud + end' structure, the cloud platform can monitor and sense the activity process of the user end in real time, comprehensive reminding services such as weather information and the like which are in accordance with the needs of the scene are provided for the user end before, during and after the activity time period, and the service contents comprise weather live information, weather forecast information, weather risk early warning information and various important reminding information of the activity scene. The user can effectively obtain the meteorological environment information comprehensive service pushed by the cloud platform in time in the switching of a single scene or a plurality of scenes by customizing the service, and effective information guarantee is provided for safely and efficiently completing scene activities.
The technical scheme adopted by the invention is that a multi-scene-oriented meteorological information intelligent accompanying service system is provided, wherein a plurality of meteorological information accompanying service terminals are connected with a meteorological information intelligent accompanying service cloud platform through a mobile communication network;
the meteorological information accompanying service terminal comprises a data acquisition module, a data storage module and a meteorological information intelligent accompanying service agent system;
The data acquisition module comprises:
1) the temperature sensor is used for collecting the temperature of the wrist of the human body;
2) the heart rate sensor is used for collecting the heart rate of the human body;
3) and the position sensor is used for acquiring the current position information of the user.
The data acquisition module is connected with the data storage module, and the data storage module is used for locally storing the information acquired by the data acquisition module.
The intelligent weather information accompanying service agent system is connected with the data storage module and comprises:
1) a user activity scene customization service module;
the module provides a function of setting one or more appointed time intervals/moments for a user to engage in certain established types of activities within a certain geographical range, and provides preset customized information for the weather information intelligent accompanying service cloud platform to understand user activity plans and scene types of activities and realize accompanying weather information intelligent services.
2) A user scene data circulating and sending module;
the module is responsible for continuously sending data collected by the weather information accompanying service terminal to a weather information intelligent accompanying service cloud platform, and providing data support for continuously and accurately mastering the position, temperature, heart rate and other physical sign information of each terminal user by the cloud platform.
3) User scene comprehensive information receiving module
The module is responsible for receiving and storing comprehensive information such as weather, early warning and reminding continuously pushed by a weather information intelligent accompanying service cloud platform for each terminal user.
4) And the user scene information reminding management module.
The module is responsible for sending out reminding information in time for different terminal users in various modes such as sound, vibration, interface display and the like according to an information processing mechanism.
The weather information intelligent accompanying service cloud platform comprises:
1) a user management module;
the module is responsible for managing the registered user information of the weather information intelligent accompanying service cloud platform, and comprises the step of establishing an identity unique identifier of a terminal user and providing information support for subsequent accurate accompanying services.
2) A scene customization module;
the module provides a service function for setting one or more specified time intervals/moments for a user to engage in certain established types of activities within a certain geographic range, and provides preset customized information for the weather information intelligent accompanying service cloud platform to understand a user activity plan and realize accompanying weather information intelligent services. And logging in a personal account at a terminal or through a browser by a user, and inputting the information to obtain the weather comprehensive information service function associated with the scene.
3) A scene knowledge management module;
the module provides related knowledge cognition and calculation services for an activity scene set by a user, so that different terminal users can obtain decision information services which are required by the scene and are except for meteorological information in advance or in time before, during and after the activity time period of the terminal users, the information comprises important prompting information such as travel preparation, wearing equipment, activity routes, risk prevention and the like, and the cognition level of the user on potential meteorological risks and avoidance in planning and executing the scene activity is improved through the comprehensive information services.
Aiming at four elements of different activity scenes, scene actions, weather influence factors and safety measures, a scene knowledge management module carries out concept distinguishing, semantic definition and relation description on each element through priori knowledge, and a knowledge graph is constructed based on an SAES four-element model, wherein, SAES is { Scenario, Action, Environment and Security }, wherein, Scenario represents an activity scene, Action represents a scene Action, Environment represents a weather influence factor, and Security represents a safety measure, when a weather disaster risk exists, the safety measure is less in place, and the safety risk value is higher.
The user moves in different time sequences and space ranges, the corresponding activity scene is dynamically switched, weather influence factors and safety measure information are scheduled in advance or in real time according to different conditions of the user body and different scene actions, and knowledge service is provided for the intelligent accompanying information calculation module to calculate weather risk information in advance or currently faces.
4) A weather information management module;
the module is responsible for meteorological information comprehensive management of the cloud platform, comprises the functions of multi-source meteorological data acquisition, processing, storage, meteorological thematic product information making and the like, and provides refined meteorological actual condition and forecast information services for different terminal users to develop activities in different scenes.
5) An intelligent accompanying information receiving module;
the module is responsible for receiving and storing the user position and other parameter information which is continuously collected and reported by different terminal users, and ensures that the cloud platform can continuously and stably provide high-quality information push service according to the activity conditions of the terminal users.
6) An intelligent accompanying information calculation module;
the module is responsible for solving comprehensive information which is supposed to be pushed to a user by the scene according to activity scene task time sequences preset by different terminal users, real-time acquired live information such as user positions and weather risk and avoidance knowledge related to the activity scene of the user, weather live and forecast early warning information of position points, action routes and activity areas, and a reasoning model according to reminding time sequences and circularly according to the weather live and forecast early warning information, wherein the comprehensive information comprises weather live information, weather forecast information, weather risk early warning information and various important prompt information of the activity scene.
The reasoning model is the key for the user to obtain high-quality effective reminding information, and generally, if only weather information service based on positions is provided, the channels for obtaining the service are many, so the characteristics of the reasoning model different from other position weather information include:
providing weather information of a place, a path or an area which is at the current position and is about to arrive in the future for the user;
based on a Collaborative Computing of Environmental Risk (CCER) model, providing potential influence which the weather information may generate on the user for the user, and particularly reminding the user of a program according to which weather Risk measure self-checking should be performed if the user propels the action according to a plan;
based on a Collaborative Computing of Environmental Risk (CCER) model, Risk coping Collaborative self-checking reminding of the same weather background is carried out among different role users participating in the same activity and at or about to enter a specified point, path and area, so that professional knowledge for coping with weather risks is brought into a reasoning computing process, and potential cognitive limitations caused by knowledge deficiency or consciousness deficiency are reduced;
7) An intelligent accompanying information pushing module;
the module is responsible for continuously pushing the comprehensive information and the feedback information triggered and reached by the information calculated by the intelligent accompanying information calculation module to different terminal users, and ensures that the users can continuously and stably obtain high-quality information pushing service.
8) An intelligent accompanying information task scheduling module;
the module is in charge of task comprehensive scheduling of a meteorological information intelligent accompanying service cloud platform, is a core engine operated by the cloud platform, and realizes continuous and stable intelligent accompanying comprehensive information service for multiple scenes and multiple users through comprehensive management of various services of the cloud platform, comprehensive processing of data and information circulation of a 'cloud + terminal'.
9) And a cloud platform system management module.
The module is responsible for comprehensive analysis and management of cloud platform system configuration, system logs and operation efficiency.
Has the advantages that:
the system adopts a 'cloud + end' structure, and the cloud platform can monitor and sense the activity process of the user end in real time, continuously sense and understand the activity scene of the user about to or in the user before, during and after the activity time period, and provide weather information comprehensive reminding services such as weather live information, weather forecast information, weather risk early warning information, various important prompt information of the activity scene and the like which are required by the scene. The user can effectively obtain the meteorological environment information comprehensive service pushed by the cloud platform in time in the switching of a single scene or a plurality of scenes by customizing the service, potential meteorological risks caused by the loss of active retrieval and analysis behaviors of the user are reduced, and effective information guarantee is provided for safely and efficiently completing scene activities of the user.
Drawings
FIG. 1 is a schematic view of the system of the present invention;
FIG. 2 is a schematic diagram of a weather information accompanying service terminal of the system of the present invention;
FIG. 3 is a schematic flow chart of the method of the present invention;
FIG. 4 is a schematic diagram of an environmental risk Collaborative Computing (CCER) model.
Detailed Description
The invention is further described with reference to the following figures and detailed description. It should be emphasized that the following description is merely exemplary in nature and is not intended to limit the scope of the invention or its application.
The invention relates to a multi-scene-oriented meteorological information intelligent accompanying service method, which comprises the following steps:
step 1, a user logs in a personal account on a terminal device or through a personal computer browser, and inputs preset activity plan information of a certain scene, wherein the activity plan information comprises the following steps: personal customized information such as plan content and information reminding modes for engaging in certain scene activities in a certain geographic range within one or more specified time intervals/moments;
step 2, a meteorological information intelligent accompanying service cloud platform intelligent accompanying information receiving module receives and stores scene activity plan information submitted by a user;
step 3, the intelligent accompanying information service scheduling module of the meteorological information intelligent accompanying service cloud platform starts to bring the newly added scene activities into a meteorological information intelligent accompanying service queue;
Step 4, a weather information intelligent accompanying service cloud platform weather information management module continuously carries out comprehensive management on weather information of a cloud platform, and the comprehensive management module comprises the functions of multi-source weather data acquisition, processing, storage, weather thematic product information making and the like, and provides refined weather live and forecast information services for different terminal users to develop activities in different scenes;
and 5, continuously transmitting the data acquired at the weather information accompanying service terminal to a weather information intelligent accompanying service cloud platform by a weather information intelligent accompanying service agent system user scene data circulating transmission module, and providing data support for continuously and accurately mastering the position, temperature, heart rate and other physical sign information of each terminal user by cloud service.
And 6, continuously receiving and storing live information such as user positions and the like continuously collected and reported by different terminal users by the intelligent accompanying information receiving module of the meteorological information intelligent accompanying service cloud platform, and ensuring that the cloud platform can continuously and stably provide high-quality information push service according to the activity condition of the terminal users.
Step 7, the meteorological information intelligent accompanying service cloud platform intelligent accompanying information calculation module continuously calculates comprehensive information which is pushed to the user by the scene in real time according to activity scene task time sequences preset by different terminal users and real-time acquired real-time user position and other real-time acquired real-time real-;
Step 8, the meteorological information intelligent accompanying information pushing module of the meteorological information intelligent accompanying service cloud platform continuously pushes the comprehensive information calculated by the intelligent accompanying information calculating module to different terminal users, and the users can be ensured to continuously and stably obtain high-quality information pushing service;
step 9, a user scene comprehensive information receiving module of the weather information intelligent accompanying service agent system continuously receives and stores weather, early warning and other comprehensive information continuously pushed by a weather information intelligent accompanying service cloud platform for each terminal user;
step 10, the weather information intelligent accompanying service agent system user scene information reminding management module sends reminding information to different terminal users in time in various modes such as sound, vibration and interface display according to an information processing mechanism.
Fig. 4 is a schematic diagram of a coordinated environment Risk Calculation (ccor) model, which is essentially configured to schedule weather influence factors and safety measure information in advance or in real time according to the division and usage principles of disaster-causing factors, pregnant disaster environments, and disaster-bearing bodies in a Risk assessment theory and according to the differences of the self-conditions and scene actions of different user subjects, and calculate weather Risk information faced by a previous or current cooperative group.
The disaster causing factors of the environmental risk collaborative computing model comprise typhoon, rainstorm, thunder, strong wind, high temperature, coldness, hail, geological disasters and the like.
The disaster-pregnant environment of the environment risk collaborative computing model comprises scene terrain, ground elevation, forest vegetation, river network density and the like.
The disaster-bearing body of the environment risk collaborative computing model comprises a user main body, a user place building, a user place traffic road and the like.
The environmental risk collaborative computing model comprehensively adopts evaluation methods such as hierarchical analysis, fuzzy comprehensive evaluation, grey theory and the like according to different weather disaster risk evaluation characteristics of the activity scene, and an evaluation index system is constructed according to a scene activity weather risk knowledge graph constructed by the scene knowledge management module based on the SAES four-tuple model, so that weather risk evaluation corresponding to the scene activity is carried out.
The environmental risk collaborative calculation model calls the meteorological disaster forecast early warning information which is issued in a rolling mode to carry out iterative calculation according to different scene actions on an activity scene time sequence chain, and calculates the meteorological disaster risks which are possibly met in different spatial ranges on the action time sequence chain for the user main bodies participating in the special activities respectively according to the spatial and temporal ranges of the different scene actions, such as position points, action routes and action areas, and continuously sends out risk early warning prompts in advance so as to remind the user main bodies to take effective risk check and avoidance measures to the greatest extent and at the earliest time.
The environmental risk collaborative computing model is different from meteorological disaster risk assessment aiming at a single user subject and is mainly characterized in that risk factors related to each type of user subjects in users of a group of participating activity scenes are brought into an environmental risk index system construction and collaborative computing process.
By the aid of the additional risk reminding information, potential unknown risk tracking reminding is provided for the user through the accompanying decision support effect of risk reasoning in a wider range, and accordingly further intelligent accompanying reminding service is provided for the user to engage in scene activities related to the meteorological risk.
Claims (9)
1. A multi-scene oriented meteorological information intelligent accompanying service system is characterized in that: the plurality of weather information accompanying service terminals are connected with a weather information intelligent accompanying service cloud platform through a mobile communication network;
the weather information accompanying service terminal comprises a data acquisition module, a data storage module and a weather information intelligent accompanying service agent system;
The data acquisition module comprises:
1) the temperature sensor is used for collecting the temperature of the wrist of a human body;
2) the heart rate sensor is used for collecting the heart rate of the human body;
3) the position sensor is used for acquiring the current position information of the user;
the data acquisition module is connected with the data storage module, and the data storage module is used for locally storing the information acquired by the data acquisition module;
the intelligent weather information accompanying service agent system is connected with the data storage module and comprises:
1) user activity scene customization service module
The module provides a function of setting one or more appointed time intervals/moments for a user to engage in certain established type activities in a certain geographical range, and provides preset customized information for the weather information intelligent accompanying service cloud platform to understand user activity plans and scene types of activities and realize accompanying weather information intelligent services;
2) user scene data circulation sending module
The module is responsible for continuously sending data acquired at a meteorological information accompanying service terminal to a meteorological information intelligent accompanying service cloud platform, and providing data support for continuously and accurately mastering the position, temperature, heart rate and other physical sign information of each terminal user by background cloud service;
3) User scene comprehensive information receiving module
The module is responsible for receiving and storing meteorological information intelligent accompanying service cloud platform continuously pushed meteorological and early warning reminding and other comprehensive information for each terminal user;
4) user scene information reminding management module
The module is responsible for sending reminding information to different terminal users in time in various modes such as sound, vibration, interface display and the like according to an information processing mechanism;
the weather information intelligent accompanying service cloud platform comprises:
1) user management module
The module is responsible for managing the registered user information of the meteorological information intelligent accompanying service cloud platform, and comprises the steps of establishing an identity unique identifier of a terminal user and providing information support for subsequent accurate accompanying services;
2) scene customization module
The module provides a service function of setting one or more specified time intervals/moments for a user to engage in certain established type of activities in a certain geographical range, and provides preset customized information for the weather information intelligent accompanying service cloud platform to understand a user activity plan and realize accompanying weather information intelligent service; a user logs in a personal account at a terminal or through a browser and inputs the information, so that the weather comprehensive information service function associated with the scene can be acquired;
3) Scene knowledge management module
The module provides related knowledge cognition and calculation services for an activity scene set by a user, so that different terminal users can obtain decision information services which are required by the scene and are except for meteorological information in advance or in time before, during and after the activity time period of the terminal users, the information comprises but is not limited to important prompt information such as travel preparation, wearing equipment, activity routes, risk prevention and the like, and the cognition level of the user on potential meteorological risks and avoidance in planning and executing the scene activity is improved through the comprehensive information services;
4) meteorological information management module
The module is responsible for meteorological information comprehensive management of a cloud platform, and has the functions of multi-source meteorological data acquisition, processing, storage, meteorological thematic product information making and the like, and provides refined meteorological actual condition and forecast information services for different terminal users to develop activities in different scenes;
5) intelligent accompanying information receiving module
The module is responsible for receiving and storing parameter information such as user positions and the like continuously collected and reported by different terminal users, and ensures that the cloud platform can continuously and stably provide high-quality information push service according to the activity condition of the terminal users;
6) Intelligent accompanying information calculation module
The module is responsible for solving comprehensive information which is supposed to be pushed to a user by the scene according to the real-time acquired live information such as the user position and the like and the weather risk and avoidance knowledge related to the activity scene of the user according to the activity scene task time sequence preset by different terminal users, combining the weather live information and the forecast early warning information of the position point, the action route and the activity area, and circularly solving the comprehensive information which is supposed to be pushed to the user by the scene according to the reminding time sequence on the basis of an inference model, wherein the comprehensive information comprises the weather live information, the weather forecast information, the weather risk early warning information and various important prompt information of the activity scene;
7) intelligent accompanying information pushing module
The module is responsible for continuously pushing the comprehensive information and the feedback information triggered and reached by the information calculated by the intelligent accompanying information calculation module to different terminal users, so that the users can continuously and stably obtain high-quality information pushing service;
8) intelligent accompanying information task scheduling module
The module is responsible for task comprehensive scheduling of a meteorological information intelligent accompanying service cloud platform, is a core engine operated by the cloud platform, and realizes continuous and stable intelligent accompanying comprehensive information service for multiple scenes and multiple users through comprehensive management of various services of the cloud platform, comprehensive processing of data and information circulation of a 'cloud + terminal';
9) Cloud platform system management module
The module is responsible for comprehensive analysis and management of cloud platform system configuration, system logs and operation efficiency.
2. The multi-scenario oriented weather information intelligent accompanying service system as claimed in claim 1, wherein: the mobile communication network is a 4G communication network or a 5G communication network.
3. The multi-scenario oriented weather information intelligent accompanying service system as claimed in claim 1, wherein: the reasoning model in the intelligent accompanying information calculation module has the characteristics different from other position meteorological information, including:
providing weather information of a current position live and a future arriving place, path or area for a user;
based on the environmental risk collaborative computing model, providing potential influence which the meteorological information may have on the user for the user, and particularly reminding the user of a program according to which weather risk measure self-checking should be carried out if the user propels actions according to a plan;
based on the environmental risk collaborative computing model, risk coping collaborative self-checking reminding of the same weather background is carried out among different role users participating in the same activity, at or about to enter a designated point, path and area, so that professional knowledge for coping with weather risks is brought into the reasoning computing process, and potential cognitive limitations caused by lack of knowledge or lack of consciousness are reduced or lowered.
4. The multi-scenario oriented weather information intelligent accompanying service system as claimed in claim 3, wherein: the environment risk collaborative computing model is essentially used for scheduling meteorological influence factors and safety measure information in advance or in real time according to the division and use principles of disaster factors, pregnant disaster environments and disaster-bearing bodies in the risk assessment theory and according to the self conditions and the scene actions of different user subjects, and computing meteorological risk information faced by a collaborative group in advance or at present.
5. The multi-scenario oriented weather information intelligent accompanying service system as claimed in claim 4, wherein: the disaster causing factors of the environmental risk collaborative computing model comprise typhoon, rainstorm, thunder, strong wind, high temperature, cold, hail and geological disasters.
6. The multi-scenario-oriented weather information intelligent accompanying service system according to claim 4, wherein: the pregnant disaster environment of the environment risk collaborative computing model comprises scene terrain, ground elevation, forest vegetation and river network density.
7. The multi-scenario oriented weather information intelligent accompanying service system as claimed in claim 4, wherein: the disaster-bearing body of the environment risk collaborative computing model comprises a user main body, a user place building and a user place traffic road.
8. The multi-scenario oriented weather information intelligent accompanying service system as claimed in any one of claims 4 to 7, wherein: the environmental risk collaborative computing model is different from meteorological disaster risk assessment aiming at a single user subject and is mainly characterized in that risk factors related to each type of user subjects in users of a group of participating activity scenes are brought into an environmental risk index system construction and collaborative computing process.
9. The service method of the multi-scenario-oriented weather information intelligent accompanying service system based on claim 1 is characterized by comprising the following steps of:
step 1, a user logs in a personal account at a terminal device or through a personal computer browser, and inputs preset certain scene activity plan information, wherein the method comprises the following steps: personal customized information such as plan content of certain set type scene activities in a certain geographic range in one or more specified time intervals/moments, information reminding modes and the like;
Step 2, a weather information intelligent accompanying service cloud platform intelligent accompanying information receiving module receives and stores scene activity plan information submitted by a user;
step 3, a weather information intelligent accompanying service cloud platform intelligent accompanying information service scheduling module starts to bring newly-added scene activities into a weather information intelligent accompanying service queue;
step 4, a weather information intelligent accompanying service cloud platform weather information management module continuously carries out comprehensive management on weather information of a cloud platform, and the comprehensive management module comprises the functions of multi-source weather data acquisition, processing, storage, weather thematic product information making and the like, and provides refined weather live and forecast information services for different terminal users to develop activities in different scenes;
step 5, a user scene data cycle sending module of the weather information intelligent accompanying service agent system continuously sends data collected at a weather information accompanying service terminal to a weather information intelligent accompanying service cloud platform, and provides data support for cloud service to continuously and accurately master the position, temperature, heart rate and other physical sign information of each terminal user;
step 6, continuously receiving and storing live information such as user positions continuously collected and reported by different terminal users by a meteorological information intelligent accompanying information receiving module of the cloud platform, and ensuring that the cloud platform can continuously and stably provide high-quality information push service according to the activity condition of the terminal users;
Step 7, the meteorological information intelligent accompanying service cloud platform intelligent accompanying information calculation module continuously calculates comprehensive information which is pushed to the user by the scene in real time according to activity scene task time sequences preset by different terminal users and real-time acquired real-time user position and other real-time acquired real-time real-;
step 8, the meteorological information intelligent accompanying information pushing module of the meteorological information intelligent accompanying service cloud platform continuously pushes the comprehensive information calculated by the intelligent accompanying information calculating module to different terminal users, and the users can be ensured to continuously and stably obtain high-quality information pushing service;
step 9, a user scene comprehensive information receiving module of the weather information intelligent accompanying service agent system continuously receives and stores weather, early warning and other comprehensive information continuously pushed by a weather information intelligent accompanying service cloud platform for each terminal user;
step 10, the weather information intelligent accompanying service agent system user scene information reminding management module sends reminding information to different terminal users in time in various modes such as sound, vibration and interface display according to an information processing mechanism.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116347336A (en) * | 2023-05-29 | 2023-06-27 | 江西省气象服务中心(江西省专业气象台、江西省气象宣传与科普中心) | Meteorological information sending method and system |
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| CN116347336A (en) * | 2023-05-29 | 2023-06-27 | 江西省气象服务中心(江西省专业气象台、江西省气象宣传与科普中心) | Meteorological information sending method and system |
| CN116347336B (en) * | 2023-05-29 | 2023-08-11 | 江西省气象服务中心(江西省专业气象台、江西省气象宣传与科普中心) | Meteorological information sending method and system |
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