JP5563683B1 - ENVIRONMENTAL INFORMATION PROVIDING DEVICE AND PROGRAM - Google Patents

Abstract

When using observation data received from a mobile terminal, it is possible to efficiently sort credible data and non-credible data.
In a server device, an observation data receiving unit receives, from each of a plurality of mobile terminals, meteorological data indicating the observed value of the weather and the date and time / latitude / longitude at which the observed value was obtained. . The credibility determination unit 212 compares the observed value of the meteorological data received by the observed data receiving unit 211 with a predetermined value, and the credibility of the observed value of the meteorological data received from each mobile terminal based on the comparison result. Judging. Based on the determination result of the credibility determination unit 212, the environment information providing unit 213 selects and selects the weather data to be counted from the weather data received from the plurality of mobile terminals by the observation data reception unit 211. The observation values of weather data are classified and aggregated according to the date and time, latitude and longitude, and the aggregation results are provided as environmental information.
[Selection] Figure 5

Description

  The present invention relates to an environment information providing apparatus and a program. The present invention relates to a mechanism of weather information collection and broadcast screen creation using, for example, a portable terminal.

  Meteorological data observation by the Japan Meteorological Agency is conducted in AMeDAS, but there are only 1300 observation points (meteorological observation stations) in Japan (as of 2011). This alone cannot cover the whole of Japan. The temperature trends in areas where observation equipment is not installed are unknown, and accurate forecasts are difficult. Even if the number of observation points is increased, the cost of observation equipment, the work cost of installing it, etc. are very high. There is an X-band radar that can be observed with a finer mesh than AMeDAS, but currently it is only used for precipitation observation. Observations using these systems alone cannot cover the entire country of Japan, and there are no accurate data in places where observation equipment is not available in areas with complex topography, so it is possible to quickly deal with disasters such as damage to crops, floods, and inundation. It may not be possible to respond.

  Conventionally, there is a technology for collecting weather data obtained by a sensor together with position information obtained by GPS (Global Positioning System) from a mobile terminal equipped with the sensor, and accumulating it in a database (for example, Patent Document 1). In the same technology, there is a technique in which location information is checked against a map database to determine whether a user of the mobile terminal is indoors or outdoors, and only weather data obtained outdoors is used (for example, Patent Document 2).

JP 2002-358321 A Japanese Patent Laid-Open No. 2004-21778

  In the prior art, when using weather data collected from a mobile terminal, there is a problem that data having no credibility is likely to be included in the usage target. For example, if a map database always stores accurate and up-to-date information, it may be possible to sort out data obtained outdoors and data obtained indoors. Operation takes time and is not efficient.

  An object of the present invention is, for example, to be able to efficiently sort credible data and non-credible data when using observation data received from a mobile terminal.

An environment information providing apparatus according to an aspect of the present invention includes:
An observation data receiving unit for receiving observation data obtained from each of a plurality of mobile terminals equipped with sensors for observing the surrounding environment, observation values obtained by the sensors, observation dates and positions, and observation positions;
A reliability determination unit that compares the observation value of the observation data received by the observation data reception unit with a predetermined value, and determines the credibility of the observation value of the observation data received from each mobile terminal based on the comparison result When,
Based on the determination result of the credibility determination unit, the observation data receiving unit selects observation data to be aggregated from the observation data received from the plurality of mobile terminals, and the observation value of the selected observation data is selected. An environmental information providing unit is provided that classifies the data according to the observation date and time and the observation position and aggregates the results, and provides the total results as environmental information.

In one aspect of the invention,
The credibility determination unit is configured to obtain an observation value of observation data received from each mobile terminal by the observation data reception unit, of observation data received from other mobile terminals whose observation date and time and observation position are close to the observation data. Compared with the observation value, the credibility of the observation value of the observation data received from each mobile terminal is determined based on the comparison result.

In one aspect of the invention,
The credibility determination unit is configured to compare observation values of observation data received from other mobile terminals having an elevation difference between the observation data received from each mobile terminal by the observation data receiving unit and a certain level or more. exclude.

In one aspect of the invention,
The credibility determination unit is received from the observation position of the observation data and other mobile terminals according to the population density of the region including the observation position of the observation data received from each mobile terminal by the observation data reception unit. Change the criteria for determining whether the observed position of the observed data is close.

In one aspect of the invention,
The credibility determination unit is configured to set an observation value of the observation data received from each mobile terminal by the observation data reception unit, a reference value predetermined for the same date and time as the observation date and position of the observation data. And the credibility of the observation value of the observation data received from each mobile terminal is determined based on the comparison result.

In one aspect of the invention,
The credibility determination unit compares the observation value of the observation data with a reference value when the observation position of the observation data received from each mobile terminal by the observation data reception unit is not within an area where the altitude change is large.

In one aspect of the invention,
The observation data receiving unit receives, as observation data, observation data indicating another observation value obtained by another sensor, as observation data, from each mobile terminal,
The credibility determination unit determines whether the observation position of the observation data received from each mobile terminal by the observation data reception unit is indoor, based on another observation value of the observation data,
The environmental information providing unit aggregates observation values of observation data determined to be indoors by the credibility determining unit among observation data received from the plurality of mobile terminals by the observation data receiving unit. Exclude from the target.

In one aspect of the invention,
If the observation date of observation data received from each mobile terminal by the observation data receiver is within a predetermined period, the credibility determination unit determines whether the observation position of the observation data is indoors. judge.

In one aspect of the invention,
In addition to each mobile terminal, the observation data receiving unit receives observation data indicating observation values obtained by the observation equipment, observation date and position, and observation position from observation equipment that performs fixed-point observation of the surrounding environment,
The environment information providing unit includes the observation value of the observation data received from the observation device by the observation data receiving unit in the aggregation target.

In one aspect of the invention,
The observation data receiving unit receives observation data indicating observation values of weather as observation data from each mobile terminal,
The environmental information providing unit categorizes and aggregates the observation values of the selected observation data into areas included in a geographical range divided into a plurality of areas in a mesh form, and displays a total result for each area Is generated and output.

A program according to one aspect of the present invention is:
A program for causing a computer to function as the environment information providing apparatus.

  According to one aspect of the present invention, when using observation data received from a mobile terminal, the observation value of the observation data is compared with a predetermined value, and credible data and non-credible data are obtained. Since it sorts, it is efficient.

1 is a block diagram showing a configuration of an environment information providing system according to Embodiment 1. FIG. 5 is a flowchart showing an operation of a mobile terminal of the environment information providing system according to the first embodiment. 6 is a flowchart showing the operation of the server device of the environment information providing system according to the first embodiment. 6 is a flowchart showing the operation of the server device of the environment information providing system according to the first embodiment. FIG. 2 is a block diagram illustrating a configuration of a server device of the environment information providing system according to the first embodiment. FIG. 3 is a diagram illustrating an example of a hardware configuration of a server device of the environment information providing system according to the first embodiment.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

Embodiment 1 FIG.
FIG. 1 is a block diagram showing a configuration of an environment information providing system 100 according to the present embodiment. FIG. 2 is a flowchart showing the operation of the mobile terminal 101 of the environment information providing system 100. 3 and 4 are flowcharts showing the operation of the server apparatus 201 of the environment information providing system 100.

  In FIG. 1, the environment information providing system 100 includes a plurality of mobile terminals 101, a plurality of observation devices 102, a center 200, and the like.

  The mobile terminal 101 is a mobile terminal of a general user such as a smartphone, a tablet PC (Personal Computer), or a mobile phone, or a car navigation device mounted on a general vehicle. The mobile terminal 101 includes a sensor 111 and a GPS receiver 112. The sensor 111 and the GPS receiver 112 are built in the mobile terminal 101 or connected to the mobile terminal 101 by a cable or the like.

  The sensor 111 is, for example, a temperature sensor, a precipitation sensor, a humidity sensor, an illuminance sensor, a wind direction / wind speed sensor, or a combination of two or more thereof. The sensor 111 observes the surrounding weather (an example of the surrounding environment). Note that this embodiment can be applied even if the sensor 111 observes an object other than the weather (for example, pollen, radioactive substance, photochemical smog causative substance).

  The GPS receiver 112 receives positioning information and time information from GPS satellites.

  As illustrated in FIG. 2, the mobile terminal 101 has received a specific operation (not limited to an operation that explicitly requests weather observation, but may be an operation that causes the mobile terminal 101 to return from the sleep state, for example). When it is detected that a specific date and time has been reached, or when a specific request is received from the center 200, the weather data 300 (an example of observation data) is generated, and the generated weather data 300 is illustrated. It is transmitted to the center 200 via a network including a mobile communication network that is not connected. As shown in FIG. 1, meteorological data 300 includes meteorological observation values such as temperature 301, precipitation 302, humidity 303, illuminance 304, and wind direction / velocity 305 obtained by sensor 111, and the date and time when the observation values were obtained. This is data indicating 306 (an example of observation date) and latitude / longitude 307 (an example of observation position). When generating the weather data 300, the mobile terminal 101 obtains the current date and time 306 based on the time information received by the GPS receiver 112 or from the built-in clock of the mobile terminal 101. Also, the mobile terminal 101 obtains the current latitude / longitude 307 based on the positioning information received by the GPS receiver 112. Note that the mobile terminal 101 may obtain the latitude / longitude 307 using a method other than GPS. For example, the mobile terminal 101 may obtain the current latitude / longitude 307 based on the positioning information from the GPS satellite and the positioning information from the quasi-zenith satellite. Alternatively, the mobile terminal 101 may obtain the current rough latitude / longitude 307 based on the base station information of the mobile communication network.

  The observation device 102 is, for example, a device installed at an AMeDAS observation station. The observation device 102 performs fixed-point observation of surrounding weather (an example of the surrounding environment). As in the case of the sensor 111, the present embodiment can be applied even when the observation device 102 performs fixed-point observation of objects other than weather (for example, pollen, radioactive substances, and photochemical smog causative substances). .

  For example, the observation device 102 periodically generates AMeDAS data 310 (an example of observation data), and transmits the generated AMeDAS data 310 to the center 200 via a network (not shown). Like the meteorological data 300, the AMeDAS data 310 includes meteorological observation values such as temperature, precipitation, humidity, illuminance, wind direction and wind speed obtained by the observation device 102, and the date and time when the observation values were obtained (of the observation date and time). (Example) and latitude / longitude (an example of an observation position). The AMeDAS data 310 may be data indicating the identification number of the AMeDAS observatory instead of the latitude / longitude. In this case, for example, the center 200 side stores data indicating the latitude and longitude of the station for each identification number of the station of AMeDAS, and the observation value of the AMeDAS data 310 is obtained by referring to this data. What is necessary is just to obtain the obtained latitude and longitude.

  In the center 200, a server device 201 (an example of an environment information providing device) and a database 202 are installed.

  The server device 201 is composed of one or a plurality of computers.

  As shown in FIG. 3, the server apparatus 201 converts the weather data 300 transmitted from each mobile terminal 101 into date and time (for example, one hour unit) and region (for example, a preset 50 m (meter) square). And is stored in the database 202. At this time, the server 201 has a time point close to the date and time 306 (for example, within one hour from a certain date and time) and a point close to the latitude and longitude 307 (for example, a 150 m square range including an adjacent area with a 50 m square mesh) Or by comparing the observed values of the meteorological data 300 in the 1 km (km) square range, the meteorological data 300 in which the observed values are prominent (the observed value is the temperature 301, the precipitation 302, etc.) If there are a plurality of conditions, the weather data 300) in which at least one observation value is prominent is deleted as having no credibility. In addition, the server apparatus 201 uses the observation values of the meteorological data 300 as the surrounding areas (preferably not only the latitude / longitude are close but also the altitude are close) of the same period (for example, the same month) Compared with the trend value (or normal value) in the same area), the observed value is out of the range of the trend value (or has a difference of more than a threshold with respect to the normal value) Weather data 300 (when there are multiple observation values such as temperature 301, precipitation 302,..., Weather data 300 where at least one observation value is outside the range of trend values) is deleted as unreliable To do. Further, the server device 201 determines whether or not the observation place is indoors based on the illuminance and the wind speed for the observed values of each weather data 300, and deletes the indoor weather data 300 as having no credibility. Instead of storing only the reliable weather data 300 in the database 202, the server apparatus 201 temporarily stores all the weather data 300 in the database 202, and then determines the authenticity of each weather data 300. May be. Further, the server device 201 may store all the weather data 300 in the database 202 together with flag data indicating the determination result of credibility, instead of deleting the non-credible weather data 300. The server device 201 may store the indoor weather data 300 in the database 202 together with flag data indicating the indoor weather data 300 instead of deleting the indoor weather data 300.

  As shown in FIG. 4, the server device 201 uses temperature data, precipitation, humidity, illuminance, wind direction, wind direction, and the like using the weather data 300 after scrutiny (that is, determined to be credible) accumulated in the database 202. A weather screen 400 (meteorological image) in which a map of Japan is color-coded in a mesh shape (for example, a 50m square mesh) according to weather such as wind speed is created and output. This makes it possible to grasp live data with a fine mesh, for example, heat stroke in areas with particularly high temperatures, effects on frozen crops in areas with particularly low temperatures, and flooding in areas with high precipitation. be able to. The server device 201 may create a weather screen 400 that changes in time series. In that case, it becomes possible to grasp the movement (trend) of the live data.

  Hereinafter, the configuration and operation of the server device 201 will be described in detail.

  FIG. 5 is a block diagram illustrating a configuration of the server apparatus 201.

  In FIG. 5, the server device 201 includes an observation data receiving unit 211, a credibility determining unit 212, and an environment information providing unit 213.

  In addition, the server device 201 includes hardware such as a processing device 291, a storage device 292, an input device 293, and an output device 294. Hardware is used by each unit of the server apparatus 201. For example, the processing device 291 is used to perform calculation, processing, reading, writing, and the like of data and information in each unit of the server device 201. The storage device 292 is used to store the data and information. The input device 293 is used to input the data and information, and the output device 294 is used to output the data and information.

  The observation data receiving unit 211 receives the weather data 300 from each of the plurality of mobile terminals 101 via the network. Further, the observation data receiving unit 211 receives the AMeDAS data 310 from each of the plurality of observation devices 102 via the network. Note that the observation data receiving unit 211 may receive the AMeDAS data 310 from another device that collects the AMeDAS data 310 instead of directly receiving the AMeDAS data 310 from each of the plurality of observation devices 102. That is, the observation data receiving unit 211 may indirectly receive the AMeDAS data 310 from each of the plurality of observation devices 102.

  The credibility determining unit 212 compares the observed value of the weather data 300 received by the observed data receiving unit 211 with a predetermined value. And the credibility judgment part 212 judges the credibility of the observed value of the weather data 300 received from each mobile terminal 101 based on the comparison result. The credibility determining unit 212 estimates that the observed value of the AMeDAS data 310 received by the observed data receiving unit 211 is accurate and does not determine the credibility, but is similar to the observed value of the weather data 300. In addition, credibility may be determined.

  As the predetermined value, for example, as described above, an observation value of another weather data 300 at a time point where the date and time 306 are close and a point where the latitude / longitude 307 is close can be used. In this case, the credibility determination unit 212 uses the observation value of the meteorological data 300 received from each mobile terminal 101 by the observation data receiving unit 211 as other movements whose weather date and time 306 and latitude / longitude 307 are close. The meteorological data 300 received from the terminal 101 is compared with the observed value. And the credibility judgment part 212 judges the credibility of the observed value of the weather data 300 received from each mobile terminal 101 based on the comparison result.

  Specifically, the credibility determination unit 212 determines that the weather data 300 in which the date and time 306 and the latitude and longitude 307 are within a certain range is the weather data 300 in which the date and time 306 and latitude and longitude 307 are close, and stores the storage device 292. And the observed values of the meteorological data 300 are compared by the processing device 291 using an arbitrary statistical method. Then, the credibility determination unit 212 includes any one of the observed weather values such as the temperature 301, the precipitation 302, the humidity 303, the illuminance 304, and the wind direction / wind speed 305 in the meteorological data 300 to be compared (or preset). If there is meteorological data 300 with a projection of more than a few observation values), it is determined that the observed value of the meteorological data 300 is not reliable. The credibility determination unit 212 determines that the other observed values of the weather data 300 are credible. Note that the credibility determination unit 212 may include the observation value of the AMeDAS data 310 in the comparison target if there is the AMeDAS data 310 having the date and time 306 and the latitude / longitude 307 close to the weather data 300 to be compared. As described above, when it is estimated that the observed value of the AMeDAS data 310 is accurate, it is desirable to increase the weighting of the observed value of the AMeDAS data 310 for comparison.

  Here, the weather may vary greatly depending on the altitude even when the date 306 and the latitude / longitude 307 are close. For example, the temperature 301 is considered to be lower as the altitude is higher. Therefore, the credibility determination unit 212 receives from the other mobile terminals 101 where the altitude difference between the weather data 300 received from each mobile terminal 101 by the observation data receiving unit 211 and the point indicated by the latitude / longitude 307 is greater than or equal to a certain level. The observed values of the meteorological data 300 may be excluded from the comparison target. By doing so, it is possible to prevent erroneously judging that a value that is prominent compared to other values due to a difference in altitude is not reliable even though the observed value is correct.

  Further, when comparing observation values, the number of samples is required to some extent. However, if the range to be compared is too wide, there is a risk that the environmental conditions of the samples may vary. Therefore, the credibility determining unit 212 determines the weather data 300 according to the population density of the area including the point indicated by the latitude / longitude 307 of the weather data 300 received from each mobile terminal 101 by the observation data receiving unit 211. The criterion for determining whether or not the latitude / longitude 307 of the weather data 300 received from another mobile terminal 101 is close to the latitude / longitude 307 may be changed. For example, the credibility determination unit 212 narrows the range determined to be closer to the latitude / longitude 307 as the area indicated by the latitude / longitude 307 of the weather data 300 has a higher population density, and the latitude of the weather data 300 The range determined to be closer to the latitude / longitude 307 may be widened as the point indicated by the longitude 307 is a region having a lower population density. By doing so, it is possible to prevent variations in the environmental conditions of the samples while ensuring a certain number of samples.

  As the predetermined value, for example, as described above, a trend value (or a normal value) in the surrounding area at the same time can also be used. In this case, the credibility determination unit 212 uses the observation data reception unit 211 to receive the observation values of the weather data 300 received from each mobile terminal 101 as the same date and time and latitude and longitude 307 as the date and time 306 and the latitude and longitude 307 of the weather data 300. A comparison is made with a reference value (trend value or normal value) predetermined for longitude. And the credibility judgment part 212 judges the credibility of the observed value of the weather data 300 received from each mobile terminal 101 based on the comparison result.

  As described above, the weather may vary greatly depending on the altitude even when the date 306 and the latitude / longitude 307 are close. Therefore, the credibility judgment unit 212 does not have a point indicated by the latitude / longitude 307 of the meteorological data 300 received from each mobile terminal 101 by the observation data receiving unit 211 in an area where the altitude change is large (that is, the undulation is severe). Only in this case, the observed value of the weather data 300 may be compared with a reference value. That is, if the point indicated by the latitude / longitude 307 of the meteorological data 300 is in an area where the altitude change is large, the credibility determining unit 212 does not compare the observed value of the meteorological data 300 with the reference value, and You may judge sex. By doing so, it is possible to prevent erroneous determination of a value having a large difference from the reference value due to a difference in altitude even though the observation value is correct as having no credibility.

  Based on the determination result of the credibility determination unit 212, the environment information provision unit 213 selects the weather data 300 to be aggregated from the weather data 300 received from the plurality of mobile terminals 101 by the observation data reception unit 211. . The environment information providing unit 213 classifies and aggregates the observed values of the selected weather data 300 according to the date 306 and the latitude / longitude 307. At this time, the environment information providing unit 213 also classifies the observed values of the AMeDAS data 310 received from the plurality of observation devices 102 by the observation data receiving unit 211 according to the date and time and the latitude / longitude and includes them in the aggregation target. And the environmental information provision part 213 provides a total result as environmental information.

  Specifically, the environment information providing unit 213 selects only the meteorological data 300 determined to be credible by the credibility determining unit 212 as an aggregation target. The environment information providing unit 213 converts the observation value of the selected meteorological data 300 for each combination of the date / time range and the areas included in the geographical area divided into a plurality of areas in a mesh shape (for example, in units of one hour). The data is classified and totaled (for example, an average value is calculated) by the processing device 291 for each 50 m square area. Then, the environment information providing unit 213 generates the weather screen 400 that displays the total result (for example, the color corresponding to the average value or the range of the average value) for each area by the processing device 291 and outputs it by the output device 294. . For example, the weather screen 400 is a map of Japan divided into a plurality of areas in a 50m square mesh, and each area is colored according to the weather such as temperature, precipitation, humidity, illuminance, wind direction and wind speed. A screen at 11 o'clock, a screen at 11 am to 0:00 pm, a screen at 0 pm to 1 pm, and so on are generated in units of one hour.

  As described above, in the present embodiment, when using the weather data 300 received from the mobile terminal 101, the observed value of the weather data 300 is compared with a predetermined value, and the credibility data and the credibility data are compared. Since it sorts out data that is not available, it is efficient because it saves the trouble of operating a large-scale map database.

  According to the present embodiment, it is possible to provide a data acquisition method that can easily observe the weather and increase the accuracy of the data by deleting the non-credible data and cover the whole of Japan. In recent years, mobile phones, smartphones, and tablet PCs (mobile terminals 101) have been active in every situation, and the number of devices owned has increased. Attached to these devices are devices that can observe temperature, precipitation, humidity, illuminance, wind direction, wind speed, etc., or by sending them to the server device 201 of the center 200 together with location information obtained by GPS, etc. Data of areas that cannot be covered at the point can be subdivided and acquired. By expressing and transmitting data acquisition as a fine mesh (for example, 50 m square) image (meteorological screen 400), it is possible to provide useful information in terms of disaster prevention and people's lives.

  The Japan Meteorological Agency has 1,300 AMeDAS observation points nationwide (as of 2011), but it is difficult to acquire data that covers the entire country of Japan. It becomes possible to collect data to complement

  Moreover, according to this Embodiment, the difference in weather conditions by a topography (mountain part, a basin, etc.) can be covered by the increase in the number of samples. In addition, the collected data can be used for television broadcasting, the web, and the like through various expression methods such as mesh images and ranking information. In addition, it can be used for purchasing plans in combination with sales information of supermarkets and retail stores. Furthermore, it can be applied to disaster prevention-related issues such as warning against guerrilla heavy rain.

  In the present embodiment, the observation data receiving unit 211 receives, as the weather data 300 from each mobile terminal 101, in addition to the observation values (for example, temperature 301, precipitation 302, humidity 303) obtained by one sensor 111. Then, data indicating another observed value (for example, illuminance 304, wind direction / wind speed 305) obtained by another sensor 111 is received. Whether the credibility determination unit 212 has obtained the observation values (for example, temperature 301, precipitation 302, humidity 303) of the weather data 300 received from each mobile terminal 101 by the observation data receiving unit 211 indoors. Whether the observation position is indoors may be determined by another observation value (for example, illuminance 304, wind direction / wind speed 305) of the meteorological data 300 (for example, compared with a nearby location) If the illuminance is low or there is almost no wind speed, it is determined as indoor.) In this case, the environment information providing unit 213 determines that the observation value is obtained indoors by the credibility determining unit 212 among the weather data 300 received from the plurality of mobile terminals 101 by the observation data receiving unit 211. The observed value of the meteorological data 300 is excluded from the total object. Thereby, the counting result (that is, environmental information) becomes more accurate.

  Note that the credibility determination unit 212 indicates that the observation value of the weather data 300 is indoors only when the date and time 306 of the weather data 300 received from each mobile terminal 101 by the observation data reception unit 211 is within a predetermined period. It is desirable to determine whether or not it is obtained in (1). For example, the credibility determination unit 212 illuminates 304 of the weather data 300 only when the date and time 306 of the weather data 300 is outdoors and there is no sunlight (that is, from the evening to the early morning of the next day). It is desirable to determine whether or not the observation value of the weather data 300 is obtained indoors based on the assumption that the interior is brightened by illumination).

  FIG. 6 is a diagram illustrating an example of a hardware configuration of the server apparatus 201.

  In FIG. 6, a server apparatus 201 is a computer, and includes an LCD 901 (Liquid / Crystal / Display), a keyboard 902 (K / B), a mouse 903, an FDD 904 (Flexible Disk / Drive), and a CDD 905 (Compact / Disk / Drive). , A hardware device such as a printer 906 is provided. These hardware devices are connected by cables and signal lines. Instead of the LCD 901, a CRT (Cathode / Ray / Tube) or other display device may be used. Instead of the mouse 903, a touch panel, a touch pad, a trackball, a pen tablet, or other pointing devices may be used.

  The server apparatus 201 includes a CPU 911 (Central Processing Unit) that executes a program. The CPU 911 is an example of a processing device 291. The CPU 911 includes a ROM 913 (Read / Only / Memory), a RAM 914 (Random / Access / Memory), a communication board 915, an LCD 901, a keyboard 902, a mouse 903, an FDD 904, a CDD 905, a printer 906, and an HDD 920 (Hard / Disk) via a bus 912. Connected with Drive) to control these hardware devices. Instead of the HDD 920, a flash memory, an optical disk device, a memory card reader / writer, or other recording medium may be used.

  The RAM 914 is an example of a volatile memory. The ROM 913, the FDD 904, the CDD 905, and the HDD 920 are examples of nonvolatile memories. These are examples of the storage device 292. The communication board 915, the keyboard 902, the mouse 903, the FDD 904, and the CDD 905 are examples of the input device 293. The communication board 915, the LCD 901, and the printer 906 are examples of the output device 294.

  The communication board 915 is connected to a LAN (Local / Area / Network) or the like. The communication board 915 is not limited to a LAN, but includes an IP-VPN (Internet, Protocol, Private, Network), a wide area LAN, an ATM (Asynchronous / Transfer / Mode) network, a WAN (Wide / Area / Network), or the Internet. It does not matter if it is connected to. LAN, WAN, and the Internet are examples of networks.

  The HDD 920 stores an operating system 921 (OS), a window system 922, a program group 923, and a file group 924. The programs in the program group 923 are executed by the CPU 911, the operating system 921, and the window system 922. The program group 923 includes programs that execute the functions described as “˜units” in the description of the present embodiment. The program is read and executed by the CPU 911. The file group 924 includes data, information, and signal values described as “˜data”, “˜information”, “˜ID (identifier)”, “˜flag”, and “˜result” in the description of this embodiment. And variable values and parameters are included as items of “˜file”, “˜database”, and “˜table”. The “˜file”, “˜database”, and “˜table” are stored in a recording medium such as the RAM 914 or the HDD 920. Data, information, signal values, variable values, and parameters stored in a recording medium such as the RAM 914 and the HDD 920 are read out to the main memory and the cache memory by the CPU 911 via a read / write circuit, and extracted, searched, referenced, compared, and calculated. It is used for processing (operation) of the CPU 911 such as calculation, control, output, printing, and display. During the processing of the CPU 911 such as extraction, search, reference, comparison, calculation, calculation, control, output, printing, and display, data, information, signal values, variable values, and parameters are temporarily stored in the main memory, cache memory, and buffer memory. Remembered.

  The arrows in the block diagrams and flowcharts used in the description of this embodiment mainly indicate input / output of data and signals. Data and signals are recorded in memory such as RAM 914, FDD904 flexible disk (FD), CDD905 compact disk (CD), HDD920 magnetic disk, optical disk, DVD (Digital Versatile Disc), or other recording media Is done. Data and signals are transmitted by a bus 912, a signal line, a cable, or other transmission media.

  In the description of the present embodiment, what is described as “to part” may be “to circuit”, “to device”, “to device”, and “to step”, “to process”, “to”. ~ Procedure "," ~ process ". That is, what is described as “˜unit” may be realized by firmware stored in the ROM 913. Alternatively, what is described as “˜unit” may be realized only by software, or only by hardware such as an element, a device, a board, and wiring. Alternatively, what is described as “to part” may be realized by a combination of software and hardware, or a combination of software, hardware and firmware. Firmware and software are stored as programs in a recording medium such as a flexible disk, a compact disk, a magnetic disk, an optical disk, and a DVD. The program is read by the CPU 911 and executed by the CPU 911. That is, the program causes the computer to function as “to part” described in the description of the present embodiment. Or a program makes a computer perform the procedure and method of "-part" described by description of this Embodiment.

  As mentioned above, although embodiment of this invention was described, this invention is not limited to this embodiment, A various change is possible as needed.

  DESCRIPTION OF SYMBOLS 100 Environment information provision system, 101 Mobile terminal, 102 Observation apparatus, 111 Sensor, 112 GPS receiver, 200 center, 201 Server apparatus, 202 Database, 211 Observation data receiving part, 212 Reliability determination part, 213 Environment information provision part, 291 processing device, 292 storage device, 293 input device, 294 output device, 300 weather data, 301 temperature, 302 precipitation, 303 humidity, 304 illuminance, 305 wind direction / wind speed, 306 date / time, 307 latitude / longitude, 310 AMeDAS data, 400 weather screen, 901 LCD, 902 keyboard, 903 mouse, 904 FDD, 905 CDD, 906 printer, 911 CPU, 912 bus, 913 ROM, 914 RAM, 915 communication board, 920 HDD, 921 Operating system, 922 window system, 923 programs, 924 files.

Claims (9)

An observation data receiving unit for receiving observation data obtained from each of a plurality of mobile terminals equipped with sensors for observing the surrounding environment, observation values obtained by the sensors, observation dates and positions, and observation positions;
The observation value of the observation data received from each mobile terminal by the observation data receiving unit is compared with a reference value determined in advance for the same date and position as the observation date and time and observation position of the observation data. Based on the observation data received from each mobile terminal, a credibility determination unit that determines the credibility of the observation value compared to the reference value;
Based on the determination result of the credibility determination unit, the observation data receiving unit selects observation data to be aggregated from the observation data received from the plurality of mobile terminals, and the observation value of the selected observation data is selected. An environmental information providing unit that categorizes and aggregates data according to observation date and position and provides the results as environmental information .
The authenticity determination unit, when the observation position of the observation data received from the mobile terminal by the observation data reception unit is not within a large area of altitude change, comparing the observed values of the observation data with a reference value Rukoto An environmental information providing apparatus characterized by the above.   The credibility determination unit further observes the observation value of the observation data received from each mobile terminal by the observation data reception unit, the observation data received from another mobile terminal whose observation date and time and observation position are close to each other. 2. The environmental information providing apparatus according to claim 1, wherein the environmental information providing apparatus determines the credibility of the observation value of the observation data received from each mobile terminal based on the comparison result by comparing with the observation value of the data. The credibility determination unit is configured to compare observation values of observation data received from other mobile terminals having an elevation difference between the observation data received from each mobile terminal by the observation data receiving unit and a certain level or more. The environment information providing apparatus according to claim 2 , wherein the environment information providing apparatus is excluded. The credibility determination unit is received from the observation position of the observation data and other mobile terminals according to the population density of the region including the observation position of the observation data received from each mobile terminal by the observation data reception unit. The environmental information providing apparatus according to claim 2 , wherein a criterion for determining whether or not the observation position of the observed data is close is changed. The observation data receiving unit receives, as observation data, observation data indicating another observation value obtained by another sensor, as observation data, from each mobile terminal,
The credibility determination unit determines whether the observation position of the observation data received from each mobile terminal by the observation data reception unit is indoor, based on another observation value of the observation data,
The environmental information providing unit aggregates observation values of observation data determined to be indoors by the credibility determining unit among observation data received from the plurality of mobile terminals by the observation data receiving unit. 2. The environment information providing apparatus according to claim 1, wherein the environment information providing apparatus is excluded from a target. If the observation date of observation data received from each mobile terminal by the observation data receiver is within a predetermined period, the credibility determination unit determines whether the observation position of the observation data is indoors. 6. The environment information providing device according to claim 5 , wherein the environment information providing device is determined. In addition to each mobile terminal, the observation data receiving unit receives observation data indicating observation values obtained by the observation equipment, observation date and position, and observation position from observation equipment that performs fixed-point observation of the surrounding environment,
The environment information providing apparatus according to claim 1, wherein the environment information providing unit includes observation values of observation data received from the observation device by the observation data receiving unit as a totaling target. The observation data receiving unit receives observation data indicating observation values of weather as observation data from each mobile terminal,
The environmental information providing unit categorizes and aggregates the observation values of the selected observation data into areas included in a geographical range divided into a plurality of areas in a mesh form, and displays a total result for each area The environment information providing apparatus according to claim 1, wherein: The program for functioning a computer as an environmental information provision apparatus in any one of Claim 1 to 8 .

Images