Intelligent prompting method and device based on weather data

Abstract

The invention provides an intelligent prompting method and device based on weather data. The method comprises the following steps: acquiring first weather data at a monitoring position at a monitoring moment; performing comparative analysis on the first weather data and second weather data within a certain time before the monitoring moment, and determining whether a prompt triggering condition is met or not; if yes, determining target prompt content for prompting the target user according to the target weather data corresponding to the satisfied prompt trigger condition and personalized parameters of the target user; and displaying the target prompt content to the target user through target equipment according to a target prompt mode at a target moment. Therefore, according to the acquired weather data, personalized prompting is performed on different users in a targeted manner, so that the users can know the weather information at the first time, and convenience is brought to life and travel of the users.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a method and device for intelligent prompting based on weather data. Background Art

[0002] Due to the impact of human activities on nature, environmental problems are becoming increasingly serious, and various types of abnormal weather are also on the rise. For example, the occurrence of abnormal weather such as heavy rain, heavy snow, lightning, hail, fog, dust storms, cold snaps, and frost often has a significant impact on people's daily lives, even causing economic losses and personal injuries. Prompt warnings can effectively reduce such losses and injuries.

[0003] However, current weather forecast software offers very low-level notifications. Most weather forecast software displays updated weather forecast information in the form of text or graphic images on mobile devices to alert users to the latest weather information. However, when the device's screen is off, the software is unable to provide weather information reminders. Furthermore, existing weather forecast software can only provide single weather information notifications when the device is powered on. This makes it difficult to provide targeted notifications for users with special needs, hindering their daily lives and travel. Summary of the Invention

[0004] In view of this, the purpose of this application is to provide an intelligent prompt method and device based on weather data, which provides personalized prompts to different users based on the acquired weather data, so that users can understand the weather information at the first time, making their lives and travel more convenient.

[0005] The present invention provides an intelligent prompting method based on weather data, which includes:

[0006] Acquire first weather data at the monitoring location at the monitoring time;

[0007] Compare and analyze the first weather data with the second weather data within a certain period before the monitoring time to determine whether a prompt triggering condition is met;

[0008] If the condition is met, the target prompt content to be given to the target user is determined based on the target weather data corresponding to the prompt trigger condition and the personalized parameters of the target user;

[0009] The target prompt content is displayed to the target user through the target device in a target prompt manner at the target time.

[0010] Optionally, comparing and analyzing the first weather data with second weather data within a certain period of time before the monitoring moment to determine whether a prompt triggering condition is met includes:

[0011] Comparing the first weather data and the second weather data in the same dimension to determine at least one weather change data;

[0012] For each weather change data, determine whether the weather change data exceeds the weather change threshold corresponding to the dimension to which the weather change data belongs;

[0013] If there is any weather change data that exceeds the corresponding weather change threshold, it is determined that the prompt trigger condition is met.

[0014] Optionally, the target weather data is determined by the following steps: all weather change data exceeding a corresponding weather change threshold are determined as target weather data.

[0015] Optionally, the monitoring time is the current time or a designated time, and the monitoring location is the current location of the target user or a designated location preset by the target user.

[0016] Optionally, determining target prompt content to be prompted to the target user based on target weather data corresponding to the prompt trigger condition and personalized parameters of the target user includes:

[0017] Determining at least one target prompting scenario based on the position data in the personalized parameters of the target user; wherein the position data includes a preset static position and / or target motion data;

[0018] For each target prompt scenario, extracting at least one preferred prompt information under the target prompt scenario from the target information database according to the target weather data and a predetermined information extraction rule;

[0019] All the extracted preferred prompt information is determined as the target prompt content.

[0020] Optionally, the target prompt method includes at least one of the following: voice broadcast, interface prompt and vibration reminder.

[0021] Optionally, the intelligent prompt method further includes:

[0022] Determining whether the target user is a visually impaired person based on the personalized parameters of the target user;

[0023] If so, voice broadcast is determined as the target prompt mode for the target user, or voice broadcast and vibration reminder are determined as the target prompt mode for the target user.

[0024] The present application also provides an intelligent prompting device based on weather data, the intelligent prompting device comprising:

[0025] An acquisition module, configured to acquire first weather data at a monitoring location at a monitoring time;

[0026] An analysis module, configured to compare and analyze the first weather data with second weather data within a certain period of time before the monitoring moment to determine whether a prompt triggering condition is met;

[0027] A determination module is used to determine target prompt content to be prompted to the target user based on the target weather data corresponding to the prompt trigger condition and the personalized parameters of the target user if the prompt trigger condition is met;

[0028] The prompt module is used to display the target prompt content to the target user through the target device at the target time in a target prompt manner.

[0029] Optionally, when the analysis module is used to compare and analyze the first weather data with second weather data within a certain period of time before the monitoring moment to determine whether a prompt triggering condition is met, the analysis module is used to:

[0030] Comparing the first weather data and the second weather data in the same dimension to determine at least one weather change data;

[0031] For each weather change data, determine whether the weather change data exceeds the weather change threshold corresponding to the dimension to which the weather change data belongs;

[0032] If there is any weather change data that exceeds the corresponding weather change threshold, it is determined that the prompt trigger condition is met.

[0033] Optionally, the determination module is further configured to determine target weather data by the following steps: determining all weather change data exceeding a corresponding weather change threshold as target weather data.

[0034] Optionally, the monitoring time is the current time or a designated time, and the monitoring location is the current location of the target user or a designated location preset by the target user.

[0035] Optionally, when the determination module is used to determine the target prompt content to be prompted to the target user based on the target weather data corresponding to the prompt trigger condition and the personalized parameters of the target user, the determination module is used to:

[0036] Determining at least one target prompting scenario based on the position data in the personalized parameters of the target user; wherein the position data includes a preset static position and / or target motion data;

[0037] For each target prompt scenario, extracting at least one preferred prompt information under the target prompt scenario from the target information database according to the target weather data and a predetermined information extraction rule;

[0038] All the extracted preferred prompt information is determined as the target prompt content.

[0039] Optionally, the target prompt method includes at least one of the following: voice broadcast, interface prompt and vibration reminder.

[0040] Optionally, the intelligent prompting device is further used to:

[0041] Determining whether the target user is a visually impaired person based on the personalized parameters of the target user;

[0042] If so, voice broadcast is determined as the target prompt mode for the target user, or voice broadcast and vibration reminder are determined as the target prompt mode for the target user.

[0043] An embodiment of the present application also provides an electronic device, comprising: a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor and the memory communicate through the bus, and when the machine-readable instructions are executed by the processor, the steps of the above-mentioned intelligent prompt method are performed.

[0044] An embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned intelligent prompt method are executed.

[0045] An embodiment of the present application provides an intelligent prompt method and device based on weather data, the method comprising: obtaining first weather data at a monitoring location at a monitoring time; comparing and analyzing the first weather data with second weather data within a certain period of time before the monitoring time to determine whether a prompt trigger condition is met; if so, determining target prompt content to be given to the target user based on target weather data corresponding to the prompt trigger condition and personalized parameters of the target user; and displaying the target prompt content to the target user through a target device at the target time in a target prompt manner.

[0046] In this way, when the present application reminds the target user based on weather data, the target prompt content generated is determined according to the personalized parameters of the target user, thereby achieving personalized recommendations. In addition, when reminding the user in the present application, the desired reminder time (target time) can be set, thereby achieving early reminders or timely reminders, thereby facilitating the user's life and travel. Furthermore, the present application also provides suitable reminder methods for visually impaired people, thereby increasing the scope of application of the present application.

[0047] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without creative work.

[0049] Figure 1 A flow chart of the weather data-based intelligent prompt method provided in an embodiment of the present application;

[0050] Figure 2 A flowchart of a method for determining whether a prompt trigger condition is satisfied provided by this application;

[0051] Figure 3 A schematic diagram of the structure of a weather data-based intelligent prompt device provided in an embodiment of the present application;

[0052] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application for which protection is claimed, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, each other embodiment obtained by those skilled in the art without making creative work falls within the scope of protection of the present application.

[0054] Due to the impact of human activities on nature, environmental problems are becoming increasingly serious, and various types of abnormal weather are also on the rise. For example, the occurrence of abnormal weather such as heavy rain, heavy snow, lightning, hail, fog, dust storms, cold snaps, and frost often has a significant impact on people's daily lives, even causing economic losses and personal injuries. Prompt warnings can effectively reduce such losses and injuries.

[0055] However, current weather forecast software offers very low-level notifications. Most weather forecast software displays updated weather forecast information in the form of text or graphic images on mobile devices to alert users to the latest weather information. However, when the device's screen is off, the software is unable to provide weather information reminders. Furthermore, existing weather forecast software can only provide single weather information notifications when the device is powered on. This makes it difficult to provide targeted notifications for users with special needs, hindering their daily lives and travel.

[0056] Based on this, the embodiment of the present application provides an intelligent prompt method and device based on weather data, which provides personalized prompts to different users based on the acquired weather data, so that users can understand the weather information at the first time, making their lives and travel more convenient.

[0057] See also Figure 1 , Figure 1 This is a flow chart of the intelligent prompt method based on weather data provided by the embodiment of the present application. Figure 1 As shown in , the intelligent prompt method provided by the embodiment of the present application includes:

[0058] S101. Acquire first weather data at a monitoring location at a monitoring time.

[0059] S102: Compare and analyze the first weather data with second weather data within a certain period of time before the monitoring moment to determine whether a prompt triggering condition is met.

[0060] S103: If the condition is satisfied, determine target prompt content to be provided to the target user based on the target weather data corresponding to the prompt trigger condition and the personalized parameters of the target user;

[0061] S104: Displaying the target prompt content to the target user through the target device in a target prompt manner at the target time.

[0062] An embodiment of the present application provides an intelligent prompt method based on weather data. First, first weather data at a monitoring location at a monitoring time is acquired, and the first weather data is compared and analyzed with second weather data within a certain period of time before the monitoring time to determine whether a prompt trigger condition is satisfied. When it is determined that the prompt trigger condition is satisfied, target prompt content for personalized prompting to the target user is determined based on the target weather data corresponding to the prompt trigger condition and the personalized parameters of the target user. Finally, the target prompt content is displayed to the target user through the target device in a target prompt manner at the target time expected by the user, so that the user can timely understand the current and future weather conditions, thereby facilitating the user's life and travel.

[0063] The following describes the exemplary steps of the embodiment of the present application:

[0064] S101. Acquire first weather data at a monitoring location at a monitoring time.

[0065] In this step, the first weather data at the monitoring location at the monitoring time is acquired at the acquisition time set by the target user.

[0066] For example, the acquisition time can be set to real-time acquisition or periodic acquisition.

[0067] In an embodiment provided in the present application, the monitoring time is the current time or a designated time, and the monitoring location is the current location of the target user or a designated location preset by the target user.

[0068] The designated time may be a future time, such as two hours in the future, or two hours later. The specific adaptability setting is not limited here.

[0069] S102: Compare and analyze the first weather data with second weather data within a certain period of time before the monitoring moment to determine whether a prompt triggering condition is met.

[0070] In this step, when the first weather data is weather data after X hours, the second weather data may be weather data from the current time to the Xth hour.

[0071] For this step, see Figure 2 , Figure 2 A flowchart of a method for determining a trigger condition for a prompt provided in this application is shown as follows: Figure 2 As shown, in one embodiment provided in the present application, the comparison and analysis of the first weather data with the second weather data within a certain period of time before the monitoring time to determine whether the prompt triggering condition is met includes:

[0072] S1021. Compare the first weather data and the second weather data in the same dimension to determine at least one weather change data.

[0073] S1022: For each piece of weather change data, determine whether the weather change data exceeds a weather change threshold corresponding to the dimension to which the weather change data belongs.

[0074] S1023: If there is any weather change data exceeding the corresponding weather change threshold, it is determined that the prompt triggering condition is met.

[0075] With respect to step S1021 , the dimension refers to the dimension of weather information included in the weather data, and for example, may be temperature, humidity, wind force, wind direction, cloud cover, precipitation, and the like.

[0076] Each weather change data corresponds to a dimension and is unique. The weather change data may include only the change value of the first weather data and the second weather data in the dimension, or may include the weather change value of the first weather data and the second weather data in the dimension, the first weather data in the dimension, and the second weather data in the dimension.

[0077] Regarding step S1022, in this step, the weather change threshold corresponding to each dimension can be pre-set by the target user.

[0078] Regarding step S1023, when it is determined that the prompt triggering condition is met, step S103 is executed, otherwise, step S101 is returned to be executed.

[0079] S103: If the condition is satisfied, determine target prompt content to be provided to the target user based on the target weather data corresponding to the prompt trigger condition and the personalized parameters of the target user;

[0080] In this step, when the prompt triggering condition is met, the target weather data corresponding to the prompt triggering condition is obtained, and then the target prompt content to be prompted to the target user is determined based on the target weather data and the personalized parameters of the target user.

[0081] Here, the target weather data is determined by the following steps: all weather change data exceeding a corresponding weather change threshold are determined as target weather data.

[0082] The personalized parameters of the target user may be preset, dynamically acquired and determined, or selected and determined by the target user in advance.

[0083] When the personalized parameters of the target user are determined by the target user's selection, a variety of selection parameters can be pre-set for the user to choose from.

[0084] For example, please refer to Table 1, which is a basic framework table of smart clothing recommendations provided by this application.

[0085] Table 1:

[0086]

[0087]

[0088]

[0089] According to the above table, users can choose the mode and style that suits them, so that in subsequent prompts, personalized target prompts that are more suitable for the target users can be determined.

[0090] Continuing with this step, in one embodiment provided in the present application, determining the target prompt content to be prompted to the target user based on the target weather data corresponding to the reminder trigger condition and the personalized parameters of the target user includes:

[0091] S1031. Determine at least one target prompt scenario according to the location data in the personalized parameters of the target user.

[0092] S1032. For each target prompt scenario, extract at least one preferred prompt information under the target prompt scenario from a target information database according to the target weather data and a predetermined information extraction rule.

[0093] S1033: Determine all the extracted preferred prompt information as the target prompt content.

[0094] For step S1031, the location data includes a preset static location and / or target motion data. The static location can be determined by geo-fencing, such as marking common places (home, office, gym, etc.).

[0095] The target motion data may include historical motion data or planned motion data.

[0096] The personalized parameters may also include user personal information, user preference settings, etc.

[0097] Regarding step S1032, in this step, under the same target weather data, different preferred prompt information can be determined for different target prompt scenarios.

[0098] For example, when the target prompt scene is determined by a static position, the preferred prompt message may be "Prompt the target user about how long it will rain or be windy, please check nearby doors and windows." When the target prompt scene is determined by a moving target position, the preferred prompt message may be "Prompt the user about how long it will rain or be windy, please travel safely and avoid wind and rain."

[0099] With respect to step S1033 , the target prompt content may include at least one piece of prompt information.

[0100] Different prompts are given under different weather conditions, for example:

[0101] A rain prevention reminder may be: There will be rain at XX time, please travel safely.

[0102] Wind prevention tips may be: at levels 1-3, "suitable for normal travel; pay attention to crosswinds when riding; pedestrians stay away from temporary structures and watch out for local gusts"; at levels 4-5, "reinforce items on the balcony; reduce speed when riding and choose a sheltered route; pedestrians avoid billboards and construction areas, and be alert to falling objects"; at levels 6-7, "reduce unnecessary outings; drive away from bridges and tunnels; pedestrians stay away from high-rise buildings and trees, and umbrellas are prohibited; at levels 8-9, "avoid outdoor activities; park vehicles in underground garages; keep a safe distance between vehicles when driving, pedestrians stay away from temporary fences, and secure items in the car"; at levels 10 and above, "stay indoors; go out and avoid narrow / open areas, avoid flying objects, and follow emergency instructions."

[0103] S104: Displaying the target prompt content to the target user through the target device in a target prompt manner at the target time.

[0104] In this step, the target prompt method includes at least one of the following: voice broadcast, interface prompt and vibration reminder.

[0105] The target time is set by the target user. For example, if the user has set a commute time, the target time is one hour before the trip. If no time is set, the default time is used and the user is prompted.

[0106] The target device may be a mobile terminal or other smart device.

[0107] Furthermore, when determining the target prompt method, the intelligent prompt method also includes: determining whether the target user is a visually impaired person based on the personalized parameters of the target user; if so, determining voice broadcast as the target prompt method for the target user, or determining voice broadcast and vibration reminder as the target prompt method for the target user.

[0108] In this embodiment, it can ensure that visually impaired people can understand weather changes in a timely and accurate manner.

[0109] In this way, when the present application reminds the target user based on weather data, the target prompt content generated is determined according to the personalized parameters of the target user, thereby achieving personalized recommendations. In addition, when reminding the user in the present application, the desired reminder time (target time) can be set, thereby achieving early reminders or timely reminders, thereby facilitating the user's life and travel. Furthermore, the present application also provides suitable reminder methods for visually impaired people, thereby increasing the scope of application of the present application.

[0110] Based on the same inventive concept, an intelligent prompt device corresponding to the intelligent prompt method is also provided in the embodiment of the present application. Since the principle of solving the problem by the device in the embodiment of the present application is similar to the above-mentioned intelligent prompt method in the embodiment of the present application, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be repeated.

[0111] See also Figure 3 , Figure 3 This is a schematic diagram of the structure of an intelligent reminder device based on weather data provided by an embodiment of the present application. Figure 3 As shown in , the intelligent prompting device 300 includes:

[0112] An acquisition module 310 is configured to acquire first weather data at a monitoring location at a monitoring time;

[0113] An analysis module 320 is configured to compare and analyze the first weather data with second weather data within a certain period of time before the monitoring time to determine whether a prompt triggering condition is met;

[0114] A determination module 330 is configured to determine target prompt content to be provided to the target user based on target weather data corresponding to the prompt trigger condition and personalized parameters of the target user if the prompt trigger condition is met;

[0115] The prompt module 340 is configured to display the target prompt content to the target user via the target device at the target time in a target prompt manner.

[0116] Optionally, when the analysis module 320 is used to compare and analyze the first weather data with second weather data within a certain period of time before the monitoring moment to determine whether the prompt triggering condition is met, the analysis module 320 is used to:

[0117] Comparing the first weather data and the second weather data in the same dimension to determine at least one weather change data;

[0118] For each weather change data, determine whether the weather change data exceeds the weather change threshold corresponding to the dimension to which the weather change data belongs;

[0119] If there is any weather change data that exceeds the corresponding weather change threshold, it is determined that the prompt trigger condition is met.

[0120] Optionally, the determination module 330 is further configured to determine target weather data by the following steps: determining all weather change data exceeding a corresponding weather change threshold as target weather data.

[0121] Optionally, the monitoring time is the current time or a designated time, and the monitoring location is the current location of the target user or a designated location preset by the target user.

[0122] Optionally, when the determination module 330 is used to determine the target prompt content to be prompted to the target user based on the target weather data corresponding to the prompt trigger condition and the personalized parameters of the target user, the determination module 330 is used to:

[0123] Determining at least one target prompting scenario based on the position data in the personalized parameters of the target user; wherein the position data includes a preset static position and / or target motion data;

[0124] For each target prompt scenario, extracting at least one preferred prompt information under the target prompt scenario from the target information database according to the target weather data and a predetermined information extraction rule;

[0125] All the extracted preferred prompt information is determined as the target prompt content.

[0126] Optionally, the target prompt method includes at least one of the following: voice broadcast, interface prompt and vibration reminder.

[0127] Optionally, the intelligent prompting device 300 is further used to:

[0128] Determining whether the target user is a visually impaired person based on the personalized parameters of the target user;

[0129] If so, voice broadcast is determined as the target prompt mode for the target user, or voice broadcast and vibration reminder are determined as the target prompt mode for the target user.

[0130] See also Figure 4 , Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 4 As shown in FIG, the electronic device 400 includes a processor 410 , a memory 420 and a bus 430 .

[0131] The memory 420 stores machine-readable instructions executable by the processor 410. When the electronic device 400 is running, the processor 410 communicates with the memory 420 via the bus 430. When the machine-readable instructions are executed by the processor 410, the above-mentioned Figure 1 as well as Figure 2 The specific implementation of the steps in the method embodiment shown can be found in the method embodiment and will not be repeated here.

[0132] The embodiment of the present application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the computer program can execute the above-mentioned Figure 1 as well as Figure 2 The specific implementation of the steps in the method embodiment shown can be found in the method embodiment and will not be repeated here.

[0133] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0134] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. There may be other division methods in actual implementation. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed may be through some communication interface, indirect coupling or communication connection of devices or units, which may be electrical, mechanical or other forms.

[0135] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0136] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0137] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium that is executable by a processor. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0138] Finally, it should be noted that the above-described embodiments are only specific implementation methods of the present application, which are used to illustrate the technical solutions of the present application, rather than to limit them. The scope of protection of the present application is not limited thereto. Although the present application has been described in detail with reference to the above-mentioned embodiments, those skilled in the art should understand that any person skilled in the art can modify or easily conceive of changes to the technical solutions described in the above-mentioned embodiments within the technical scope disclosed in the present application, or perform equivalent replacements for some of the technical features thereof. These modifications, changes, or replacements do not deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. An intelligent prompt method based on weather data, characterized in that: The intelligent prompt method includes: Acquire first weather data at the monitoring location at the monitoring time; Compare and analyze the first weather data with the second weather data within a certain period before the monitoring time to determine whether a prompt triggering condition is met; If the condition is met, the target prompt content to be given to the target user is determined based on the target weather data corresponding to the prompt trigger condition and the personalized parameters of the target user; The target prompt content is displayed to the target user through the target device in a target prompt manner at the target time.

2. The intelligent prompt method according to claim 1, characterized in that: The comparing and analyzing the first weather data with the second weather data within a certain period of time before the monitoring time to determine whether the prompt triggering condition is met includes: Comparing the first weather data and the second weather data in the same dimension to determine at least one weather change data; For each weather change data, determine whether the weather change data exceeds the weather change threshold corresponding to the dimension to which the weather change data belongs; If there is any weather change data that exceeds the corresponding weather change threshold, it is determined that the prompt trigger condition is met.

3. The intelligent prompting method according to claim 2, characterized in that: The target weather data is determined by the following steps: all weather change data exceeding a corresponding weather change threshold are determined as target weather data.

4. The intelligent prompting method according to claim 1, characterized in that: The monitoring time is the current time or a designated time, and the monitoring location is the current location of the target user or a designated location preset by the target user.

5. The intelligent prompting method according to claim 1, characterized in that: The step of determining target prompt content to be provided to the target user based on target weather data corresponding to the prompt triggering condition and personalized parameters of the target user includes: Determining at least one target prompting scenario based on the position data in the personalized parameters of the target user; wherein the position data includes a preset static position and / or target motion data; For each target prompt scenario, extracting at least one preferred prompt information under the target prompt scenario from the target information database according to the target weather data and a predetermined information extraction rule; All the extracted preferred prompt information is determined as the target prompt content.

6. The intelligent prompting method according to claim 1, characterized in that: The target prompt method includes at least one of the following: voice broadcast, interface prompt and vibration reminder.

7. The intelligent prompting method according to claim 6, characterized in that: The intelligent prompt method further includes: Determining whether the target user is a visually impaired person based on the personalized parameters of the target user; If so, voice broadcast is determined as the target prompt mode for the target user, or voice broadcast and vibration reminder are determined as the target prompt mode for the target user.

8. An intelligent reminder device based on weather data, characterized in that: The intelligent prompting device comprises: An acquisition module, configured to acquire first weather data at a monitoring location at a monitoring time; An analysis module, configured to compare and analyze the first weather data with second weather data within a certain period of time before the monitoring moment to determine whether a prompt triggering condition is met; A determination module is used to determine target prompt content to be prompted to the target user based on the target weather data corresponding to the prompt trigger condition and the personalized parameters of the target user if the prompt trigger condition is met; The prompt module is used to display the target prompt content to the target user through the target device at the target time in a target prompt manner.

9. An electronic device, characterized in that: include: A processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor and the memory communicate through the bus, and the machine-readable instructions are executed by the processor to execute the steps of the intelligent prompt method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the intelligent prompt method according to any one of claims 1 to 7 are executed.

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