TWI453452B - Mobile device, meteorology counting system, and meteorology counting method - Google Patents

Description

Mobile devices, weather statistics systems, and meteorological statistical methods

The present invention relates to an apparatus and method, and more particularly to a mobile device, a weather statistical system, and a weather statistical method.

The general weather enquiry system does not provide weather information in a small area (for example, a street) for users to query, but provides weather forecasts for a wide range of geographic scales (eg, a city).

However, the weather information provided by the general weather enquiry system is not the real-time information, but the estimated information made based on the weather map data. It cannot provide a small area (for example, within 1 square kilometer) of a specific location. .

It can be seen that the above existing methods obviously have inconveniences and defects, and need to be improved. In order to solve the above problems, the relevant fields have not tried their best to find a solution, but for a long time, no suitable solution has been developed. Therefore, how to provide users with instant and accurate weather information and to enable users to inquire about a small range of weather information is one of the current important research and development topics, and has become an urgent target for improvement in related fields.

It is an object of the present invention to provide a mobile device, a weather statistical system, and a weather statistical method to provide instant and accurate weather information for a user, and to enable a user to query a small range of weather information.

To achieve the above object, one aspect of the present invention relates to a mobile device. The mobile device includes a satellite positioning module, a microphone, a processing module, a mobile communication module, and an operation interface generating module. The satellite positioning module is used to obtain position data, and the microphone is used to collect sound. The processing module is configured to process the sound and determine whether the sound is a rain sound. If the sound is a rain sound, the volume of the rain sound is calculated to obtain the rain intensity data.

In addition, the mobile communication module is configured to receive location data and rain intensity data, and transmit location data and rain intensity data to the server through the Internet, wherein the server is configured to receive the foregoing information transmitted by the plurality of mobile devices. The location data and the aforementioned rain intensity data are used to integrate and analyze the foregoing location data and the aforementioned rain intensity data to generate meteorological statistics. The operation interface generates a module for generating an operation interface. The mobile device uses the mobile communication module to obtain weather statistics from the servo device. The operation interface is used to open the map application and display weather statistics on the map application.

According to an embodiment of the invention, the mobile device further comprises a gravity sensor. The gravity sensor is configured to sense the movement state of the mobile device to generate the movement state data, wherein the processing module determines whether the rain intensity data is used according to the movement state data.

In order to achieve the above object, another aspect of the present invention relates to a weather statistical system. The weather statistics system includes a plurality of mobile devices and servo devices. Each of the aforementioned mobile devices includes a satellite positioning module, a microphone, a processing module, a mobile communication module, and an operation interface generating module. The satellite positioning module is used to obtain position data, and the microphone is used to collect sound. The processing module is configured to process the sound and determine whether the sound is a rain sound. If the sound is a rain sound, the volume of the rain sound is calculated to obtain the rain intensity data. The mobile communication module is used to receive location data and rain intensity data, and transmit location data and rain intensity data through the Internet. The operation interface generates a module for generating an operation interface.

In addition, the servo device includes a communication module, a storage module, and a processing module. The communication module is configured to receive the foregoing location data of the foregoing mobile devices and the foregoing rain intensity data through the Internet. The storage module is configured to store the foregoing location data and the aforementioned rain intensity data. The processing module is configured to integrate and analyze the foregoing location data and the aforementioned rain intensity data to generate weather statistics. The mobile device uses the mobile communication module to obtain weather statistics from the servo device. The operation interface is used to open the map application and display weather statistics on the map application.

According to an embodiment of the invention, the mobile device of the weather statistical system further comprises a gravity sensor. The gravity sensor is configured to sense the movement state of the mobile device to generate the movement state data, wherein the processing module determines whether the rain intensity data is used according to the movement state data.

According to another embodiment of the present invention, the location data and the rain intensity data are time-sensitive, and the processing module of the servo device re-sets the location data and the rain intensity data in the aging period at a fixed time. Conduct integration and analysis to update meteorological statistics.

According to still another embodiment of the present invention, the servo device further includes a historical data storage module. The historical data storage module is configured to store the foregoing location data over time and the aforementioned rain intensity data. The processing module integrates and analyzes the foregoing location data in the historical data storage module and the aforementioned rain intensity data to generate historical meteorological statistics, and the mobile device obtains historical weather through the mobile communication module to the servo device. Statistics, by operating the interface to open the map application and display historical weather statistics on the map application.

In order to achieve the above object, yet another aspect of the present invention relates to a meteorological statistical method. The meteorological statistical method comprises the steps of: collecting sounds and obtaining location data collected by the sound; determining whether the sound is rain sound, and if the sound is rain sound, calculating the volume of the rain sound to obtain rain intensity data; The road transmits the location data and the rain intensity data to the servo device; the servo device is configured to receive the foregoing location data transmitted by the plurality of locations and the rain intensity data, and the foregoing location data and the rain intensity data Perform integration and analysis to generate weather statistics; open the map application and display weather statistics on the map application.

According to an embodiment of the invention, the step of collecting the sound and obtaining the location data collected to the sound is performed by the mobile device. Therefore, the meteorological statistical method further comprises the steps of: sensing the movement state of the mobile device to generate the movement state data, and determining whether to use the rain intensity data according to the movement state data.

According to another embodiment of the present invention, the location data and the rain intensity data are time-sensitive, and the servo device re-aligns the location data and the rain intensity data in the aging period at a fixed time. Analyze to update weather statistics.

According to still another embodiment of the present invention, the servo device includes a historical data storage module. The meteorological statistical method further comprises the steps of: storing the foregoing location data exceeding the aging time and the aforementioned rain intensity data to the historical data storage module; and the foregoing location data in the historical data storage module and the aforementioned rain intensity Data are consolidated and analyzed to produce historical meteorological statistics.

Therefore, according to the technical content of the present invention, an embodiment of the present invention provides a mobile device, a weather statistical system, and a meteorological statistical method, which collects rain intensity data and returns it to the servo device through a large number of mobile devices. Users can obtain statistical and analyzed local meteorological statistics from the mobile device through their mobile devices, and use the map application, such as Google Map, to display weather statistics on the map application. Instant and accurate weather information can be found, and users can be queried for weather information in a small area (for example, an office building or a playground).

In order to make the description of the present disclosure more complete and complete, reference is made to the accompanying drawings and the accompanying drawings. However, the embodiments provided are not intended to limit the scope of the invention, and the description of the operation of the structure is not intended to limit the order of its execution, and any device that is recombined by the components produces equal devices. The scope covered by the invention.

The drawings are for illustrative purposes only and are not drawn to the original dimensions. On the other hand, well-known elements and steps are not described in the embodiments to avoid unnecessarily limiting the invention.

1 is a schematic diagram of a weather statistics system 1000 in accordance with an embodiment of the invention. As shown in FIG. 1, the weather statistics system 1000 includes a plurality of mobile devices 1200, 1300, and 1400 and a servo device 1100. The servo device 1100 includes a communication module 1110, a storage module 1120, and a processing module 1130. Hereinafter, the mobile device 1200 will be taken as an example, and the components of the mobile device 1200 are shown in FIG. 2, wherein the second image is A block diagram of a circuit of a mobile device 1200 is shown in accordance with another embodiment of the present invention. As shown, the mobile device 1200 includes a satellite positioning module 1210, a microphone 1220, an operation interface generating module 1230, a processing module 1250, and a mobile communication module 1260.

In an embodiment, the mobile device can be a mobile phone, a laptop, a lithographic computer, etc., but it is not intended to limit the present invention. It is well known to those skilled in the art that the device of the present invention can be selectively implemented by using a loadable software. As a mobile device.

Please refer to Figure 1 and Figure 2 together. For example, in the mobile device 1200, the satellite positioning module 1210 of the mobile device 1200 is used to obtain location data, and the microphone 1220 is used to collect sound. The processing module 1250 of the mobile device 1200 is configured to process the sound and determine whether the sound is rain. If the sound is rain, calculate the volume of the rain sound to obtain the rain intensity data. The mobile communication module 1260 of the mobile device 1200 is configured to receive location data and rain intensity data, and transmit location data and rain intensity data through the Internet. The operation interface generation module 1230 is configured to generate an operation interface.

In addition, the communication module 1110 of the server 1100 is configured to receive the foregoing location data of the mobile devices 1200, 1300, and 1400 and the rain intensity data by using the Internet. The storage module 1120 of the servo device 1100 is configured to store the foregoing location data and the aforementioned rain intensity data. The processing module 1130 of the servo device 1100 is configured to integrate and analyze the foregoing location data and the rain intensity data to generate weather statistics.

Through the above operation, the mobile device 1200 can obtain the weather statistics from the server device 1100 through the mobile communication module 1260, and open the map application through the operation interface 1230, and display the weather statistics on the map application.

In this way, the rain intensity data is collected by a large number of mobile devices and returned to the servo device. The user can obtain statistical and analyzed meteorological statistics from the mobile device through the mobile device, and cooperate with the map. Applications such as Google Maps can display weather statistics on the Maps app, allowing users to find real-time and accurate weather information and allow users to query small-scale weather information.

In an embodiment, the mobile device 1200 of the weather statistical system 1000 further includes a gravity sensor 1240. The gravity sensor 1240 is configured to sense the movement state of the mobile device 1200 to generate the movement state data. The processing module 1250 of the mobile device 1200 determines whether the rain intensity data is used according to the movement state data.

In detail, since the user may use the mobile device 1200 in driving, the use of the mobile device 1200 in the driving situation may result in an error in the rain intensity data. Therefore, in order to avoid the situation, the mobile device 1200 may further include a gravity sensor 1240 to generate the moving state data, and the processing module 1250 of the mobile device 1200 may determine whether the rain intensity data is incorrect according to the moving state data, and then determine Do you want to use this rain intensity data?

In an optional embodiment, the location data and the rain intensity data are time-sensitive, and the processing module 1130 of the server 1100 re-sets the location data and the rain in the aging period at a fixed time. The potential intensity data is integrated and analyzed to update meteorological statistics.

For example, the aging of the foregoing location data and the aforementioned rain intensity data may be set to 15 minutes. During the 15 minutes aging, the location data and the rain intensity data may be stored in the storage module 1120. The processing module 1130 of the servo device 1100 integrates and analyzes the foregoing location data in the storage module 1120 and the aforementioned rain intensity data to update the weather statistics. However, it is not intended to limit the present invention, and the aging of the above-mentioned location data and the aforementioned rain intensity data can be set according to actual needs.

In one embodiment, the servo device 1100 further includes a historical data storage module 1140 for storing the foregoing location data over time and the aforementioned rain intensity data. For example, when the location data and the rain intensity data have been stored in the storage module 1120 for more than 15 minutes, the time data expiration of the location data and the rain intensity data will be stored in the historical data of the server 1100. In the storage module 1140.

In operation, the processing module 1130 of the servo device 1100 integrates and analyzes the foregoing location data in the historical data storage module 140 and the aforementioned rain intensity data to generate historical weather statistics, and the mobile device 1200 transmits The mobile communication module 1260 obtains historical weather statistics from the server 1100, opens the map application by operating the interface, and displays historical weather statistics on the map application.

In this way, the user can search for the real-time and accurate weather information and the small-scale weather information by using the mobile device 1200 of the embodiment of the present invention, and can search for a small range of historical weather statistics to understand a certain area. For example, historical meteorological statistics of a particular street in a city, users can decide whether to buy a house on the street based on historical weather statistics.

FIG. 3 is a flow chart showing a weather statistical method 300 according to still another embodiment of the present invention. The weather statistical method 300 includes the steps of: collecting sounds, and obtaining location data collected to the sound (step 310); determining whether the sound is rain sound (step 320), and if the sound is rain sound, calculating the volume of the rain sound Obtaining rain intensity data (step 330); transmitting location data and rain intensity data to the servo device via the Internet (step 350); the servo device is configured to receive the foregoing location data transmitted by the plurality of locations and the rain Potential intensity data, and the foregoing location data and the aforementioned rain intensity data are integrated and analyzed to generate weather statistics (step 360); and the map application is opened and the weather statistics are displayed on the map application ( Step 390).

Please refer to Figures 1 to 3 together. In step 310, the satellite positioning module 1210 of the mobile device 1200 can be utilized to retrieve location data and utilize its microphone 1220 to collect sound. In step 320 and step 330, the processing module 1250 of the mobile device 1200 can be used to determine whether the sound is rain. If the sound is determined to be rain, the volume of the rain sound is calculated to obtain the rain intensity data. If the sound is not raining, step 310 is performed.

Then, referring to step 350, the mobile communication module 1260 of the mobile device 1200 can transmit the location data and the rain intensity data through the Internet. Then, the server 1100 can receive the location data and the rain intensity data transmitted by the plurality of locations by using the communication module 1110. For example, the server 1100 can receive the mobile devices 1200 by using the communication module 1110. The aforementioned location data of 1300 and 1400 and the aforementioned rain intensity data.

In addition, in step 360, the servo device 1100 can use the processing module 1130 to integrate and analyze the foregoing location data and the aforementioned rain intensity data to generate weather statistics.

Referring to step 390, the map application can be opened by the operation interface 1230 of the mobile device 1200, and the weather statistics can be displayed on the map application.

In this way, the weather statistical method 300 of the embodiment of the present invention can collect the rain intensity data of each place and transmit it back to the servo device, and the user can obtain the statistical and analyzed meteorological statistics from the servo device through the mobile device. And with a map application, such as Google Maps, you can display weather statistics on the map application, allowing users to find real-time and accurate weather information, and to allow users to query a small range of weather information.

In an embodiment, the weather statistical method 300 further includes the steps of: sensing a movement state of the mobile device to generate the movement state data (step 342), and determining whether to use the rain intensity data according to the movement state data (step 344) .

In step 342, the gravity sensor 1240 can be utilized to sense the movement state of the mobile device 1200 to generate the movement status data. In step 344, the processing module 1250 of the mobile device 1200 can be used to determine whether to use the rain intensity data according to the movement state data. If the rain intensity data is used, step 350 is performed, and if the rain intensity data is not used, If yes, go to step 310.

In detail, since the user may use the mobile device 1200 in driving, the use of the mobile device 1200 in the driving situation may result in an error in the rain intensity data. Therefore, in order to avoid such a situation, the gravity sensor 1240 of the mobile device 1200 can be utilized to generate the mobile state data, and the processing module 1250 of the mobile device 1200 can be used to determine whether the rain intensity data is incorrect according to the movement state data. Decide whether you want to use this rain intensity data.

In an optional embodiment, the location data and the rain intensity data are time-sensitive, and the processing module of the servo device re-sets the location data and the rain intensity in the aging period at a fixed time. Data are consolidated and analyzed to update meteorological statistics.

For example, the aging of the foregoing location data and the aforementioned rain intensity data may be set to 15 minutes. During the 15 minutes aging, the location data and the rain intensity data may be stored in the storage module 1120. The processing module 1130 of the servo device 1100 integrates and analyzes the foregoing location data in the storage module 1120 and the aforementioned rain intensity data to update the weather statistics. However, it is not intended to limit the present invention, and the aging of the above-mentioned location data and the aforementioned rain intensity data can be set according to actual needs.

In addition, the servo device includes a historical data storage module, and the weather statistical method 300 further includes the steps of: storing the foregoing location data exceeding the time limit and the rain intensity data to the historical data storage module (step 370); The foregoing location data in the historical data storage module is integrated and analyzed with the aforementioned rain intensity data to generate historical weather statistics (step 380).

In step 370, the historical data storage module 1140 of the servo device 1100 can be used to store the foregoing location data over time and the aforementioned rain intensity data. For example, when the location data and the rain intensity data have been stored in the storage module 1120 for more than 15 minutes, the time data expiration of the location data and the rain intensity data will be stored in the historical data of the server 1100. In the storage module 1140.

Referring to step 380, the processing module 1130 of the server 1100 can be used to integrate and analyze the location data and the rain intensity data in the historical data storage module to generate historical weather statistics. Then, the mobile device 1200 can be used to obtain historical meteorological statistics from the server 1100 through the mobile communication module 1260. The operation interface is used to open the map application and the historical weather data is displayed on the map application.

In this way, the user can search for the real-time and accurate weather information and query the small-scale weather information by using the weather statistical method 300 of the embodiment of the present invention, and can search for a small range of historical weather statistics to understand a certain street. Historical weather statistics, users can decide whether to buy a house on the street based on historical weather statistics.

4 is a schematic diagram showing an interface of a map application according to still another embodiment of the present invention. As shown in the figure, the user can open the query interface. For example, using GoogleMap as the base map, the map application downloads the weather statistics of the current map block from the servo device, and the user can select the reference server to collect and analyze the future. Suggested meteorological statistics, in which meteorological statistics can be used to indicate the weather conditions of the area with different shades of color, such as the color block shown in Figure 4, which represents a larger rain in the indicated area.

FIG. 5 is a schematic diagram showing an interface of a map application according to still another embodiment of the present invention. Each of these points represents a mobile device that transmits data to the servo device and displays the magnitude of the rain in shades of dots. FIG. 6 is a schematic diagram showing an interface of a map application according to still another embodiment of the present invention. The mobile device receives unprocessed raw data from the server and directly displays the ratio of various rainstorm sizes in the data. In this way, the user can open the query interface, for example, using GoogleMap as the base map, and the map application downloads the weather statistics of the current map block from the server, and the user can select to display all the personal information providing the weather information of the block. Reference judgment.

The meteorological statistical method 300 as described above can all be performed by software, hardware, and/or carcass. For example, if the execution speed and accuracy are the primary considerations, the hardware and/or the carcass may be mainly used; if the design flexibility is the primary consideration, the software may be mainly used; or At the same time, the software, hardware and carcass work together. It should be understood that the above examples are not intended to limit the present invention, and are not intended to limit the present invention. Those skilled in the art will need to design elastically at that time.

Moreover, those of ordinary skill in the art can understand that the steps in the meteorological statistical method 300 are named according to the functions they perform, only to make the technology of the present invention more obvious and understandable, and not to limit the steps. . It is still an embodiment of the present disclosure to integrate the steps into the same step or to split into multiple steps, or to replace any of the steps into another step.

It will be apparent from the above-described embodiments of the present invention that the application of the present invention has the following advantages. The embodiment of the present invention provides a mobile device, a weather statistical system, and a meteorological statistical method, which collects rain intensity data from a plurality of mobile devices and returns it to the servo device so that the user can The servo device obtains the statistics and analysis of the local meteorological statistics, and with the map application, such as Google Map, the weather statistics can be displayed on the map application, allowing users to search for instant and accurate weather information. And allows users to query a small range of weather information.

Although the present invention has been disclosed in the above embodiments, it is not intended to limit the present invention, and the present invention can be modified and modified without departing from the spirit and scope of the present invention. The scope is subject to the definition of the scope of the patent application attached.

1000. . . Meteorological statistics system

1100. . . Servo device

1110. . . Communication module

1120. . . Storage module

1130. . . Processing module

1140. . . Historical data storage module

1200. . . Mobile device

1210. . . Satellite positioning module

1220. . . microphone

1230. . . Operation interface generation module

1240. . . Gravity sensor

1250. . . Processing module

1260. . . Mobile communication module

300. . . Meteorological statistics method

310～390. . . step

The above and other objects, features, advantages and embodiments of the present invention will become more apparent and understood.

1 is a schematic diagram of a weather statistics system in accordance with an embodiment of the present invention.

2 is a block diagram showing the circuit of a mobile device according to another embodiment of the present invention.

FIG. 3 is a flow chart showing a weather statistics method according to still another embodiment of the present invention.

4 is a schematic diagram showing an interface of a map application according to still another embodiment of the present invention.

FIG. 5 is a schematic diagram showing an interface of a map application according to still another embodiment of the present invention.

FIG. 6 is a schematic diagram showing an interface of a map application according to still another embodiment of the present invention.

1200. . . Mobile device

1210. . . Satellite positioning module

1220. . . microphone

1230. . . Operation interface generation module

1240. . . Gravity sensor

1250. . . Processing module

1260. . . Mobile communication module

Claims (10)

A mobile device includes: a satellite positioning module for acquiring a position data; a microphone for collecting a sound; and a processing module for processing the sound and determining whether the sound is rain sound, if The sound is rain, the volume of the rain sound is calculated to obtain a rain intensity data; a mobile communication module is configured to receive the location data and the rain intensity data, and transmit the location data through the Internet and The rain intensity data is sent to a servo device, wherein the servo device is configured to receive the location data and the rain intensity data transmitted by the plurality of mobile devices, and the location data and the rain intensity data Performing an integration and analysis to generate a weather statistic; and an operation interface generation module for generating an operation interface, wherein the mobile device transmits the weather statistic to the servo device through the mobile communication module, The operation interface is used to open a map application and display the weather statistics on the map application. The mobile device of claim 1, further comprising: a gravity sensor for sensing a moving state of the mobile device to generate a mobile state data, wherein the processing module determines the mobile state data according to the mobile device Whether to use the rain intensity data. A meteorological statistical system includes: a plurality of mobile devices, each of the mobile devices comprising: a satellite positioning module for acquiring a location data; a microphone for collecting a sound; and a processing module; For processing the sound, and determining whether the sound is rain sound, if the sound is rain sound, calculating the volume of the rain sound to obtain a rain intensity data; a mobile communication module for receiving the position data And the rain intensity data, and transmitting the location data and the rain intensity data through the Internet; and an operation interface generating module for generating an operation interface; and a servo device comprising: a communication module, The location data and the rain intensity data for receiving the mobile devices through the Internet; a storage module for storing the location data and the rain intensity data; and a processing module, For synthesizing and analyzing the location data and the rain intensity data to generate a meteorological data, wherein the mobile device transmits the weather data through the mobile communication module The device acquires meteorological statistics, by the user interface to open a map application, and displays the meteorological statistics on the Maps app. The weather statistics system of claim 3, wherein the mobile device further comprises: a gravity sensor for sensing a movement state of the mobile device to generate a mobile state data, wherein the processing module is configured according to the Move the status data to determine whether the rain intensity data is used. The weather statistics system of claim 3, wherein the location data and the rain intensity data are time-sensitive, and the processing module of the servo device re-reads the location data within the aging period at a fixed time. The rain intensity data are consolidated and analyzed to update the meteorological statistics. The weather statistics system of claim 5, wherein the server further comprises: a historical data storage module, configured to store the location data and the rain intensity data over time, wherein the processing module The location data in the historical data storage module is integrated and analyzed with the rain intensity data to generate a historical weather data, wherein the mobile device obtains the history from the mobile device through the mobile communication module. Meteorological statistics, through the operation interface to open the map application and display the historical weather statistics on the map application. A meteorological statistical method includes: collecting a sound and obtaining a position data collected to the sound; determining whether the sound is rain sound, and if the sound is rain sound, calculating a volume of the rain sound to obtain a rain force Intensity data; transmitting the location data and the rain intensity data to a servo device through the Internet; the servo device is configured to receive the location data and the rain intensity data transmitted by the plurality of locations, and The location data is integrated and analyzed with the rain intensity data to generate a weather statistic; and a map application is opened and displayed on the map application. The weather statistics method of claim 7, wherein the mobile device collects the sound by using a mobile device, and obtains the location data collected by the sound, wherein the weather statistical method further comprises: sensing the mobile state of the mobile device, A moving state data is generated, and based on the moving state data, whether the rain intensity data is used is determined. The weather statistics method of claim 7, wherein the location data and the rain intensity data are time-sensitive, and the servo device re-applies the location data and the rain intensity in the aging period at a fixed time. The data is consolidated and analyzed to update the meteorological statistics. The meteorological statistical method of claim 9, wherein the servo device comprises a historical data storage module, wherein the meteorological statistical method further comprises: storing the location data exceeding the time limit and the rain intensity data to the historical data The storage module; and the location data in the historical data storage module and the rain intensity data are integrated and analyzed to generate a historical weather data.