JPH0560879A - Weather forecasting device - Google Patents

Abstract

PURPOSE:To obtain a weather forecasting device capable of weather forecast indication which a user never be puzzled even in the case with difference between a weather forecast based on measurements and a weather probability (rainfall probability) based on statistics. CONSTITUTION:A ROM 8 stores weather probability data (rainfall data) of each day of a year at each city on the basis of rainfall data for past 20 years. A CPU 1 calculates weather prediction data based on the pressure data measured with a pressure sensor 9, calculates the reliability as regards the difference in comparison with the rainfall data stored in the ROM 8 and indicates on a display part 12, for example, 'date of today', 'December 23', time '10:30', day of week 'Sunday', rainfall probability '60-100%', weather forecast 'fine and cloudy', and prediction reliability 'low'.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a weather forecast device for displaying a weather forecast together with the reliability of the forecast.

[0002]

2. Description of the Related Art In recent years, the time for enjoying leisure has increased, and it is often convenient if the weather conditions for the day ahead can be predicted in advance when going out. It can be said that it is not convenient for a weather forecast to be made once or twice a day on a TV or the like. In such a case, it is possible to know the future weather of the day at an arbitrary time, and the conventional clock There is known a weather forecasting device incorporated in the above. This weather forecasting device is designed to display the date as well as the time. The atmospheric pressure sensor measures the atmospheric pressure of the day to predict and display the weather of the day. Further, for each day of the year, the rainfall probability data based on the average value calculated from the rainfall data of the past 20 years is stored, and based on the stored rainfall probability data, the day when the weather is predicted and displayed. The rainfall probability data of is also graphed and displayed together.

[0003]

However, in the above weather forecast device, for example, although the weather is displayed as "clear" in the weather forecast based on the measured atmospheric pressure, the rainfall on the day according to the rainfall probability data based on the stored statistics. The probability prediction has a drawback that the rainfall rate is displayed as "60% or more".
In this way, if the two weather forecasts are displayed differently, there is a problem for the user to be confused about which display should be used to predict the future weather. ..

[0004]

It is an object of the present invention to provide a weather forecasting device capable of displaying a weather forecast without a user's hesitation in making a decision even when the weather forecast by measurement and the weather probability (rainfall probability) by statistics are different. Especially.

[0005]

SUMMARY OF THE INVENTION In order to achieve the above object, the present invention provides:
When displaying the weather forecast data based on the measured atmospheric pressure and the weather probability (rainfall probability) data based on past statistics, the difference between the weather forecast data and the weather probability (rainfall probability) data is automatically determined, and the determination is made. The point is that the reliability of the weather forecast data displayed is determined according to the degree of the difference, and the reliability is also displayed.

[0006]

Embodiments of the present invention will be described below with reference to the drawings. FIG. 1 is a block diagram showing an internal circuit of a weather forecast device according to an embodiment of the present invention. In the figure, the CPU 1 is composed of a microprocessor or the like,
In particular, the entire system is controlled according to a micro program stored in a built-in ROM (not shown).

The transmitting section 2 generates a clock signal having a constant cycle and outputs it to the frequency dividing circuit 3. The frequency divider circuit 3 includes the transmitter 2
The clock signal input from is divided by a predetermined cycle to generate a time signal, and the time signal is output to the time counting circuit 4.

The time counting circuit 4 counts the time signal input from the frequency dividing circuit 3 and outputs the current time data to the CPU 1, and when the current time is 24:00, the count becomes "0" and the daily carry signal is output. Output to the date counting circuit 5.

The date counting circuit 5 updates the date data by the date carry signal input from the time counting circuit 4, and outputs the updated current date data to the CPU 1. Further, the time counting circuit 4 has a current time of 0:00, 1:00, 2:00, 3
An hour carry signal is output to the CPU 1 every hour on the hour. The CPU 1 outputs an activation signal to the pressure sensor 9 and the A / D conversion circuit 10 based on the time carry signal input from the time counting circuit 4, and measures the atmospheric pressure.

The RAM 6 is a random access memory, and is composed of various registers for storing measured atmospheric pressure data, weather forecast data, reliability data, etc., which will be described in detail later.

The city selection switch unit 7 is provided with a pressure-sensitive or push-button type switch (not shown), and the cities stored in the ROM 8 described later can be sequentially selected arbitrarily by key input of the switch. it can.

The ROM 8 is a fixed memory and has a history of the past 20.
12 from January 1 calculated based on annual rainfall data
The weather probability data for each date up to the 31st of the month is “0” when the rainfall probability is 0 to 20%, and the rainfall probability is 20 to 4
It is stored as "1" for 0%, "2" for a rainfall probability of 40-60% and "3" for a rainfall probability of 60-100% for each city. The CPU 1 reads the weather probability data for each date of the city selected by the key input of 7.

The pressure sensor 9 is activated by an activation signal input from the CPU 1 every hour, measures the atmospheric pressure at that time, converts it into an analog electric signal, and converts the analog electric signal to A
Output to the / D conversion circuit 11.

The A / D conversion circuit 10 is also activated together with the pressure sensor 9 by an activation signal input from the CPU 1 every hour, converts an analog electric signal input from the pressure sensor 9 into a digital signal, and outputs the digital signal to the CPU 1.

The CPU 1 creates weather forecast data by performing the calculation described later based on the digital signal of the measured atmospheric pressure input from the A / D conversion circuit 10, and the rainfall probability data read from the ROM 8 and the time counting circuit 4 are prepared. Also, display data is created together with the current date and time data created by the data input from the date counting circuit 5, and reliability data described later, and output to the display drive circuit 11.

The display drive circuit 11 is composed of a decoder, a driver, etc., decodes display data input from the CPU 1, creates a display drive signal, and outputs it to the display section 12.

The display unit 12 is equipped with a liquid crystal display device, which will be described in detail later, and turns on, blinks, or turns off the liquid crystal display body based on a display drive signal input from the display drive circuit 11 to perform a predetermined display. ..

Next, FIG. 2A shows a main internal structure of the RAM 7. In the figure, a register P is a register that stores measured atmospheric pressure data. Register Q is 24
It is a register that stores time average atmospheric pressure data.

The register E is a register for storing the difference data between the measured atmospheric pressure and the average atmospheric pressure for 24 hours. Register X
Is a register for storing a weather forecast value which will be described later and is determined by the value of the register E.

The register Y is a register for storing the reliability of forecast. Although not particularly shown, the RAM 6 is provided with registers N (0) to N (23).
Store the measured atmospheric pressure for 4 hours.

Next, FIG. 2B shows a detailed structure of the display electrodes of the display section 12. The display unit 12 shown in the figure is provided with a weather forecast display unit 21 which is a combination of display bodies representing the sun, clouds, and rain on the upper left side from the center, and is calculated, for example, after 8 hours from the present. The weather condition is predicted, and one of the four types of weather forecast display shown in the figure 65 of FIG. 6 described later is displayed. For example,
When you say "The weather will be getting better"
Turn on the "upper half of the sun and clouds" as shown in.

On the left side of the weather forecast display section 21, there is provided a reliability display section 25, and the letters "large", "medium", and "small" are respectively printed under the display of "reliability". Display bodies surrounded by squares are arranged. For example, when the reliability of the forecast is low, the “small” display bodies surrounded by the squares are turned on as shown in FIG.

In the lower left part of the center, there is a time display portion consisting of a 4-digit segment display body 22 and a colon display body 23 between the second and third digit segment display bodies from the right. 24 is provided to display the current time “10:31” as shown in FIG. 8, for example.

In addition, on the upper right side from the center, a printed frame of 7 columns and 4 rows, a total of 28 probability display bodies 26 arranged in the frame, and a rainfall rate printed on the left side of the frame are shown. Number "1
"00", "60", "40", "20", "0" and the "%" below it, as well as the day of the week display "Mon", "Tue", "Wed", which is arranged below the frame. A rainfall probability display unit 27 including “Thurs”, “Fri”, “Sat”, and “Sun” is provided. For example, as shown in FIG. 8, today's day indicator “Sun” is displayed in a blinking manner, and from today to Monday. The probability indicators 26 showing the rainfall probabilities for one week are 4, 1, 4, 1, 2, 3, and 2 respectively.
Lights individually.

Below the rainfall probability display portion 27, a 4-digit segment display body 28, a "month" display printed between the second and third digits from the right of the segment display body 28, and the right end. Date display part 2 consisting of "day" display printed on
9 is provided, for example, as shown in FIG. 8, the current date “December 23” is displayed.

Here, the forecast algorithm of the weather forecast displayed on the weather forecast display section 21 in this embodiment is as follows.
This will be described with reference to FIG. First, as will be described later in detail, 2
The average pressure Q for 4 hours is measured, and the current pressure P
Is measured, and the difference E (= P−Q) is calculated.

Then, as shown in the horizontal column 61 in the figure, E> 3
mb (millibars), that is, the current atmospheric pressure is the past 24
If it is much higher than the average pressure over time, it is predicted that the weather will be fine in the next 8 hours. And
"0" is stored in the register X, the display of the forecast graphic at this time is set to "Sun" only, and the forecast state is "fine".
And

Next, if 3 mb ≧ E ≧ 0 mb, that is, if the current atmospheric pressure is slightly higher than the average atmospheric pressure in the past 24 hours, it is predicted that the weather will improve 8 hours after this. Then, in this case, "1" is stored in the register X, the forecast graphic is displayed as "sun half and cloud", and the forecast state is set to "clear cloud".

When 0 mb> E ≧ -3 mb, that is, when the atmospheric pressure at the present time is slightly lower than the average atmospheric pressure in the past 24 hours, it is predicted that the weather will gradually come from now on.
Then, "2" is stored in the register X, the forecast figure is "cloud" only, and the forecast state is "rain cloud".

Further, when -3 mb> E, that is, when the current atmospheric pressure is extremely lower than the average atmospheric pressure in the past 24 hours, it is predicted that bad weather such as rain or snow will occur. Then, "3" is stored in the register X, the forecast figure is "cloud and rain", and the forecast state is "rain".

Next, a weather forecast reliability determination algorithm in this embodiment will be described with reference to FIG. The weather forecast column 71 in the figure is a column for four types of weather forecast calculated by the weather forecast algorithm described in FIG. The rainfall probability column 72 is a column of rainfall probability data of the day stored in the ROM 8. The reliability column 73 is a column that indicates the reliability is high, medium, or low in correspondence with the degree of coincidence or inconsistency between the weather forecast in the weather forecast column 71 and the rainfall probability data in the rainfall probability column 72. .. For example, column 7 of "fine"
As shown in FIG. 4, if today's weather forecast is “fine” and today's rainfall probability data is 0 to 20%, the reliability of the “fine” forecast is considered to be high, and the forecast reliability is “ Large ”.
Conversely, if today's weather forecast is “fine” but today's rainfall probability data is 60 to 100%, the reliability of the “fine” forecast is considered to be low, and the reliability of the forecast is “small”. ".
And, if today's weather forecast is "fine" and the rainfall probability data of today is 20-40%, or 40-60%, the reliability of the "fine" forecast is neither high nor low. , The reliability of the forecast is "medium".

Also, for weather forecasts other than "fine", as in the above, the "clear cloud" column 75, the "rain cloud" column 76,
And the reliability of the forecast is determined based on the comparison shown in the column 77 of "rain".

Next, in the above configuration, the weather forecast processing performed by the control of the CPU 1, the reliability determination processing of the weather forecast, the display processing of the weather forecast and the forecast reliability,
The operation of each input data storage process for the display and the calculation process corresponding to the input data will be described with reference to the flow charts shown in FIGS.

FIG. 3 is a general flow chart showing the flow of the entire program. This process is started especially when a power source (not shown) is turned on. Also,
It is assumed that the city of the present location is selected by a switch (not shown) of the city selection switch unit 7.

In the figure, the CPU 1 first determines in step S301 whether or not the hour carry signal is output from the time counting circuit 4. If the hour carry signal is output, the time is updated by 1 hour. However, in this case, the process proceeds to step S302, the start signal is output to the pressure sensor 9 to measure the atmospheric pressure, and the A / D
The pressure sensor 9 outputs the activation signal to the conversion circuit 10 as well.
The atmospheric pressure measured by is converted into digital data, and the atmospheric pressure data converted into the digital data is stored in the register P of the RAM 6. Next, in step S303,
After performing the weather forecast processing shown in FIG. 4 described later in detail,
In step S304, the reliability determination process shown in FIG. 5, which will be described later in detail, is performed. As a result, the atmospheric pressure at the present time is measured every time the time elapses for one hour, and the weather forecast process described later is performed based on the measured atmospheric pressure data.

Next, in step S305, the current time is displayed on the time display section 22 of the display section 12 based on the time data input from the time counting circuit 4. As a result, the current time is displayed as 10:31, for example, as shown in FIG.

Subsequently, in step S306, the forecast data obtained by the weather forecast process of step S303 is read from the register X of the RAM 6 and the weather forecast display unit 21 of the display unit 12 is read based on the read forecast data. The weather forecast is displayed on. As a result, for example, as shown in FIG. 8, today's weather forecast (the tendency of weather after 8 hours) is displayed in the form of “clear cloud”.

Next, in step S307, today's date is displayed on the date display unit 29 of the display unit 12 based on the date data input from the date counting circuit 5. This allows
For example, today's date is displayed as December 23, as shown in FIG.

Subsequently, in step S308, day of the week data is calculated from today's date data, and the day of the week is displayed on the display unit 12 based on the obtained day of the week data. This allows
For example, as shown in FIG. 8, today's day "Sun" indicator indicating Sunday is displayed blinking.

Then, in step S309, the ROM
From 8, read the rainfall probability data for one week from today,
Based on the read probability data, the rainfall probability display unit 27 of the display unit 12 displays the rainfall probability data for one week. As a result, for example, as shown in FIG. 8, the rainfall probability data for one week from today is lit and displayed on the probability indicator 26 for each day of the week.

When the process of step S309 is completed, the process returns to step S301. If the hour carry signal is not input in step S301, the time is not updated, so it is not necessary to measure the atmospheric pressure, and in this case, the process proceeds to step S310. Step S
When the key input from the switch unit 7 is detected at 310, the process proceeds to step S311, and the process such as city selection and time adjustment is performed based on the key input signal, and the process proceeds to step S305. In step S310,
If there is no key input, the process immediately returns to step S301.

Next, the weather forecast process will be described with reference to the flowchart of FIG. In the figure, CP
In step S401, the U1 first reads the measured atmospheric pressure for the past 24 hours from the registers N (0) to N (23) of the RAM 6, calculates the average atmospheric pressure, and stores the calculated average atmospheric pressure in the register Q. Next, in step S402, RA
The atmospheric pressure data measured in step S302 of FIG. 3 is read from the register P of M6, the difference “PQ” from the calculated average atmospheric pressure is calculated, and the obtained result is stored in the register E. Then, in step S403, the register E
Atmospheric pressure difference data E obtained at 3 mb (mbar)
Determine if it is greater than. If the value of E is larger, the process proceeds to step S404, the value "0" representing "clear" is stored in the register X, and then the process proceeds to step S405, where the measured atmospheric pressure data read from the register P is stored in the time counting circuit. RAM corresponding to the current time data input from 4
The data is stored in the register N (i) (i = 0, 1, 2, ..., 23) of No. 7 and the process is completed.

At step S403, the pressure difference data E
Is less than 3 mb, the process proceeds to step S406, it is determined whether or not the range is 3 mb ≧ E ≧ 0 mb,
If it is within this range, the process proceeds to step S407, the value "1" representing "clear cloud" is stored in the register X, and then the process proceeds to step S405.

If the atmospheric pressure difference data E is not in the range of 3 mb ≧ E ≧ 0 mb in step S406, the process proceeds to step S408, and it is determined whether or not it is in the range of 0 mb> E ≧ −3 mb. If it is within the range, step S40
At 9, the value "2" representing "rain cloud" is stored in the register X, and then the process proceeds to step S405.

In step S408, if the pressure difference data E is not within the range of 0 mb> E ≧ −3 mb, that is, E <−3 mb, the process proceeds to step S410 in this case, and the register X After the value "3" representing "rain" is stored in, the process proceeds to step S405.

As a result, the weather forecasting algorithm for deciding one of the four types of forecast display graphics based on the measured value of the current atmospheric pressure and the average value of the measured atmospheric pressure for the past 24 hours shown in FIG. 6 is realized. ..

Next, regarding the above-described reliability determination processing,
This will be described with reference to the flowchart of FIG. In the figure, the CPU 1 firstly executes the ROM 8 in step S501.
Read the rainfall probability data on the date 8 hours after the current time. Next, in step S502, it is determined whether or not the value of the weather forecast data obtained in the register X in the weather forecast process is "0" (X = 0), that is, whether the forecast is "clear". If it is "clear", the process proceeds to step S503 to refer to the rainfall probability data on the date 8 hours after the current time read from the ROM 8.

The rainfall probability data is "0-20.
If it indicates "%", the flow advances to step S504 to set "3" in the register Y. As a result, in the above-described rainfall probability data display processing, the value “3” is read from the register Y, and based on this, the “large” indicator of the reliability display section 25 of the display section 12 is lit and displayed. .. In this way, if the weather forecast is fine and the rainfall probability indicated by the rainfall probability data is 0 to 20%, the reliability of the forecast is displayed as high.

If the rainfall probability data indicates "20-40%" in step S503, the flow advances to step S505 to set "2" in the register Y.
As a result, in the rainfall probability data display process, the value “2” is read from the register Y, and based on this value,
The "medium" indicator of the reliability indicator 25 of the display 12 is displayed in a lighted state. Thus, if the weather forecast is fine and the rainfall probability is 20 to 40%, the reliability of the forecast is displayed as medium.

If it is determined in step S503 that the rainfall probability data indicates "40-60%", the flow advances to step S506 to set "2" in the register Y in this case as well. As a result, also in this case, the value "2" is read from the register Y in the rainfall probability data display process, and the "medium" indicator of the reliability indicator 25 of the display 12 is lit and displayed. As described above, even when the weather forecast is fine and the rainfall probability is 40 to 60%, the reliability of the forecast is displayed as medium.

Then, in step S503,
If the rainfall probability data indicates "60 to 100%", the flow advances to step S507 to set "1" in the register Y. As a result, in the rainfall probability data display process,
By reading the value “1” from the register Y, the “small” indicator of the reliability indicator 25 of the display 12 is lit and displayed. In this way, although the weather forecast is fine,
If the rainfall probability is 60 to 100%, the reliability of the forecast is displayed as low.

By the way, in step S502, if the weather forecast is not "fine" (X = 0), the process proceeds to step S508, and this time the weather forecast is "clear cloud" (X = 1).
Is determined. Then, if it is "clear cloud", the process proceeds to step S509 to refer to the rainfall probability data.

The rainfall probability data is "0-20%".
If so, the process proceeds to step S510 and “2” is stored in the register Y. If the rainfall probability data is “20-40%”, the process proceeds to step S511 and “3” is stored in the register Y.
If the rainfall probability data is "40-60%", the process proceeds to step S512, and in this case also, the register Y is set to "2". If the rainfall probability data is "60-190%", the process proceeds to step S513. Store “1” in register Y. As a result, when the weather forecast is cloudy and the rainfall probability is 20 to 40%, the reliability of the forecast is displayed as high, and the rainfall probability is 0 to 20% or 40 to 60%. Indicates that the reliability of the forecast is medium, and that the reliability of the forecast is low when the rainfall probability is 60 to 100%.

If it is determined in step S508 that the weather forecast is not "clear cloud" (X = 1), the process proceeds to another step (not shown) to determine whether the weather forecast is "rain cloud". If it is “rain cloud”, refer to the rainfall probability data.
If the rainfall probability data is "0 to 20%", the register Y is set to "1" and the rainfall probability data is "20 to 40%".
If the rainfall probability data is "40 to 60%", the register Y is set to "2", and the register Y is set to "3".
If the rainfall probability data is "60 to 190%", "2" is stored in the register Y also in this case. Thereby, when the weather forecast is cloudy, the rainfall probability is 40 to 6
If it is 0%, the reliability of the forecast is displayed as high,
If the rainfall probability is 20 to 40% or 60 to 100%, the forecast reliability is displayed as medium, and the rainfall probability is 0.
If it is ˜20%, it is displayed that the reliability of the forecast is low.

If the weather forecast is not "rain cloud", the remaining weather forecast is "rain", and the procedure goes to another step to refer to the rainfall probability data in the "rain" weather forecast. And the rainfall probability data is "0-20%"
Then, if the register Y is "1", the rainfall probability data is "20-40%", the register Y is "2", and if the rainfall probability data is "40-60%", in this case Also register "2" in register Y, and rainfall probability data is "6".
If it is "0 to 190%", "3" is stored in the register Y. Accordingly, when the weather forecast is rain, it is displayed that the reliability of the forecast is high when the rainfall probability is 60 to 100%, and when the rainfall probability is 20 to 40% or 40 to 60%. The reliability of the forecast is displayed as medium, and the reliability of the forecast is displayed as small when the rainfall probability is 0 to 20%.

As described above, the reliability determination algorithm described with reference to FIG. 7 is realized. In the above-mentioned embodiment, the display of the rainfall probability display section 27 is displayed in four stages, but the present invention is not limited to this, and may be displayed for every 10% of rainfall probability, for example, and displayed in any probability stage. You can do it. Further, the reliability display is not limited to “large”, “medium”, and “small”, and display bodies such as circles, triangles, and crosses may be used.

[0057]

According to the present invention, the weather forecast data displayed by the atmospheric pressure measurement and the weather probability (rainfall probability) data based on the past statistics are automatically discriminated to the extent of the difference between them and displayed. Since the reliability of the data is determined and the reliability is also displayed, even if the weather forecast and the display of rainfall probability are different, the display of the reliability indicates to the user the tendency of the weather forecast displayed. You can use the forecast based on your own judgment. Moreover, even if the weather forecast and the rainfall probability display are different, the correlation between the weather forecast display and the rainfall probability display can be well understood by the display of the reliability, and therefore the tendency of the weather forecast can be known, so that it is not difficult to make a decision. ..

[Brief description of drawings]

FIG. 1 is a block diagram of an internal configuration of a weather forecast device according to an embodiment of the present invention.

2A is an internal configuration diagram of the block RAM, and FIG.
FIG. 3 is an external view of the display unit of the block diagram.

FIG. 3 is a general flow chart.

FIG. 4 is a flowchart showing details of weather forecast processing of a general flowchart.

FIG. 5 is a flowchart showing details of reliability determination processing in the general flowchart.

FIG. 6 is a diagram illustrating an algorithm for determining a weather forecast display figure from the difference between the measured atmospheric pressure and the average atmospheric pressure in the present embodiment.

FIG. 7 is a diagram illustrating an algorithm for determining the reliability of the weather forecast according to the difference between the weather forecast and the rainfall probability in the present embodiment.

FIG. 8 is a diagram showing an example of a display on the display unit 12.

[Explanation of symbols]

 1 CPU 2 Oscillator 3 Frequency Divider 4 Time Counting Circuit 5 Date Counting Circuit 6 RAM 7 City Selection Switch 8 Rainfall Data Storage ROM 9 Pressure Sensor 10 A / D Converter 11 Display Drive Circuit 12 Display Section 21 Weather Forecast Display Section 24 Current time display section 25 Reliability display section 27 Rainfall probability display section 29 Date display section

Claims (1)

[Claims] 1. A barometric pressure measuring unit for measuring barometric pressure at predetermined time intervals to obtain barometric pressure data, a weather forecast data calculating unit for obtaining weather forecast data based on the barometric pressure data measured by the barometric pressure measuring unit, Weather probability data storage means for storing the weather probability data obtained from the weather for each date, the weather forecast data calculated by the weather forecast data calculation means, and the same date as the date on which the weather forecast data was calculated. It is characterized by further comprising: a discriminating means for discriminating a difference from the weather probability data stored in the weather probability data storing means, and a notifying means for notifying according to the difference discriminated by the discriminating means. Weather forecast device.