JP3173051B2 - Weather forecasting device - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

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

[0002]

2. Description of the Related Art In recent years, leisure time has been increasing, but when going out in such a case, it is often convenient if it is possible to predict the weather condition ahead of the day in advance. It is not convenient to use a weather forecast about once or twice a day on a television or the like. In such a case, it is known that a user can know the future weather of the day at an arbitrary time. There is known a weather forecasting device incorporated in such as. This weather forecasting device displays the date along with the time, and measures the pressure of the day by a pressure sensor to predict and display the weather of the day. Further, for each day of the year, rain probability data based on the average value calculated from the rain data for the past 20 years is stored, and based on the stored rain probability data, the weather is predicted and displayed on the day. Rainfall probability data is also graphed and displayed together.

[0003]

However, in the above-mentioned weather forecasting apparatus, for example, in the weather forecast based on the measured atmospheric pressure, the weather is displayed as "fine", but the rainfall of the day is calculated based on the rainfall probability data based on the stored statistics. In the probability prediction, there was a drawback such as displaying the rainfall rate “60% or more”.
If the two weather forecasts are displayed differently in this way, there is a problem that a user may be confused as to which display should be used to predict the weather in the future. .

[0004]

An object of the present invention is to provide a weather forecasting apparatus capable of displaying a weather forecast without a user being confused even when the weather forecast based on measurement and the weather probability based on statistics (rainfall probability) are different. It is in.

[0005]

SUMMARY OF THE INVENTION In order to achieve the above object, the present invention provides
When displaying weather forecast data based on measured atmospheric pressure and 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. depending on the degree of difference that, with so as to display to suit also its reliability in determining the reliability of the weather forecast data that is the display, communication, including the current day
Reads past weather probability data for a specified number of consecutive days
The point is that they are displayed simultaneously .

[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 one embodiment of the present invention. In FIG. 1, a CPU 1 includes a microprocessor and the like.
In particular, it controls the entire system according to a microprogram stored in a built-in ROM (not shown).

The transmitting section 2 generates a clock signal having a constant period and outputs the clock signal to the frequency dividing circuit 3. The dividing circuit 3 includes the transmitting unit 2
A time signal is generated by dividing the clock signal input from the CPU at a predetermined cycle, 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. When the current time reaches 24:00, the count becomes "0" and the day carry signal is output. Output to the date counting circuit 5.

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

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

The city selection switch unit 7 includes a pressure-sensitive switch or a push-button switch (not shown), and can arbitrarily sequentially select a city stored in a ROM 8 described later by key input of the switch. it can.

The ROM 8 is a fixed memory.
It is 12 from January 1 calculated based on annual rainfall data
Until the 31st of the month, weather probability data for each date, for example, "0" when the rainfall probability is 0 to 20%, and the rainfall probability is 20 to 4
The value 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 weather probability data for each date of the city selected by the key input of No. 7 is read out by the CPU 1.

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

The A / D conversion circuit 10 also starts up together with the pressure sensor 9 in response to a start signal input every hour from the CPU 1, 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 performs a later-described operation based on the digital signal of the measured atmospheric pressure input from the A / D conversion circuit 10 to create weather forecast data, which is read from the ROM 8 for rainfall probability data and a time counting circuit 4. Then, display data is created together with the current date and time data created from the data input from the date counting circuit 5 and reliability data described later, and is 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 unit 12.

The display unit 12 includes a liquid crystal display device, which will be described in detail later, and performs a predetermined display by turning on, blinking, or extinguishing the liquid crystal display based on a display drive signal input from the display drive circuit 11. .

Next, FIG. 2A shows a main internal configuration diagram of the RAM 7. In the figure, a register P is a register for storing measured atmospheric pressure data. Register Q is 24
This is a register for storing average pressure data of time.

The register E is a register for storing 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 to be described later, which is determined by the value of the register E.

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

Next, FIG. 2B shows a detailed configuration of the display electrode 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 objects representing the sun, clouds and rain at the upper left side from the center. The weather condition is predicted, and one of the four types of weather forecast displays shown in FIG. For example,
Figure 8 shows "the weather will get better"
Turn on the "sun and cloud" as shown in.

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

In the lower left part of the center, a time display part comprising a four-digit segment display 22 and a colon display 23 between the second and third digit display from the right. 24, for example, displays the current time “10:31” as shown in FIG.

In the upper right part of the center, a printed frame of 7 columns and 4 rows, a total of 28 probability indicators 26 arranged in the frame, and the rainfall rate printed on the left of the frame are shown. The number "1"
"00", "60", "40", "20", "0" and the "%" display thereunder, and the day of the week display objects "Month", "Tue", "Wed", A rainfall probability display unit 27 including “Thu”, “Fri”, “Sat” and “Sun” is provided. For example, as shown in FIG. Up to 4, 1, 4, 1, 2, 3, and 2 respectively.
Lights up.

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

Here, a forecast algorithm of the weather forecast displayed on the weather forecast display unit 21 in the present embodiment will be described.
This will be described with reference to FIG. First, as will be described in detail later,
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 side column 61 of FIG.
mb (millibar), that is, the current barometric pressure
If it is much higher than the average hourly pressure, it predicts that the weather will be sunny in the next eight hours. And
"0" is stored in the register X, and the display of the forecast figure at this time is set to display only the "sun", and the forecast state is set to "fine".
And

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

When 0 mb> E ≧ −3 mb, that is, when the current air pressure is slightly lower than the average air pressure in the past 24 hours, it is predicted that the weather will soon begin.
Then, "2" is stored in the register X, the forecast figure is only "cloud", and the forecast state is "rain and cloudy".

Further, when -3 mb> E, that is, when the atmospheric pressure at the present time is extremely lower than the average atmospheric pressure in the past 24 hours, it is predicted that the weather will be rainy or snowy. Then, “3” is stored in the register X, the forecast figure is “cloud and rain”, and the forecast state is “rain”.

Next, the algorithm for determining the reliability of the weather forecast in this embodiment will be described with reference to FIG. The weather prediction column 71 in FIG. 7 is a column of four types of weather prediction calculated by the weather forecast algorithm described in FIG. The rainfall probability column 72 is a column of the rainfall probability data of the day stored in the ROM 8. The reliability column 73 is a column indicating a large, medium, or small degree of reliability in accordance with the degree of coincidence or non-coincidence between the weather prediction in the weather prediction column 71 and the rain probability data in the rain probability column 72. . For example, column 7 of "sunny"
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 reliability of the forecast is “ Large ".
Conversely, if today's weather forecast is “fine” and 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”. ".
If today's weather forecast is “fine” and today's rainfall probability data is 20 to 40% or 40 to 60%, the reliability of the “fine” forecast is not considered to be high or low. , The reliability of the forecast is “medium”.

As for the weather forecasts other than "sunny", the "sunny and cloudy" column 75, the "rainy and cloudy" 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, a weather forecasting process performed under the control of the CPU 1, a process of determining the reliability of the weather forecast, a process of displaying the weather forecast and the reliability of the forecast,
The operation of each input data storing process for the display and the calculation process corresponding to the input data will be described with reference to the flowcharts shown in FIGS.

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

Referring to FIG. 3, the CPU 1 first determines whether or not an hour carry signal is output from the time counting circuit 4 in step S301. If the hour carry signal has been output, the time has been updated for one hour. In this case, however, the process proceeds to step S302, in which an activation signal is output to the pressure sensor 9 to measure the atmospheric pressure, and the A / D
The start signal is also output to the conversion circuit 10 to output the pressure
Converts the measured pressure into digital data, and stores the converted pressure data into the register P of the RAM 6. Next, the process proceeds to step S303,
After performing the weather forecast processing shown in FIG.
In step S304, a reliability determination process shown in FIG. Thus, each time one hour elapses, the current air pressure is measured, and a weather forecast process described later is performed based on the measured air 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. Thus, the current time is displayed as, for example, 10:31 as shown in FIG.

Subsequently, in step S306, the forecast data obtained in the weather forecast process of step S303 is read from the register X of the RAM 6, and based on the read forecast data, the weather forecast display unit 21 of the display unit 12 is read. To display the weather forecast. As a result, for example, as shown in FIG. 8, the weather forecast for the current day (the tendency of the weather eight hours later) is displayed in the form of “fine and cloudy”.

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, as shown in FIG. 8, today's date is displayed as December 23.

Subsequently, in step S308, the 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, the current day of the week “Sun” indicating Sunday is blinking.

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

Upon completion of the process in the step S309, the process returns to the step S301. If the hour carry signal is not input in step S301, the time is not updated, so that the atmospheric pressure need not be measured. In this case, the process proceeds to step S310. Step S
If a key input from the switch unit 7 is detected at 310, the process proceeds to step S311 to perform processing such as city selection and time correction based on the key input signal, and then proceeds to step S305. Also, in the above 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 FIG.
First, in step S401, U1 reads the measured pressure in the past 24 hours from the registers N (0) to N (23) of the RAM 6, calculates the average pressure, and stores the calculated average pressure in the register Q. Next, the process proceeds to step S402, where RA
The pressure data measured in step S302 of FIG. 3 is read from the register P of M6, the difference “PQ” from the calculated average pressure is calculated, and the obtained result is stored in the register E. Subsequently, the process proceeds to step S403, where the register E
Pressure difference data E obtained at 3 mb (millibar)
It is determined whether it is greater than. If the value of E is larger, the process proceeds to step S404 to store a value “0” representing “fine” in the register X, and then 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 current time data input from 4
7 is stored in the register N (i) (i = 0, 1, 2,..., 23), and the process is terminated.

At step S403, the pressure difference data E
If is not larger than 3 mb, the process proceeds to step S406, and it is determined whether or not 3 mb ≧ E ≧ 0 mb.
If it is within this range, the process proceeds to step S407 to store the value “1” representing “fine / cloudy” in the register X, and then proceeds to step S405.

If it is determined in step S406 that the pressure difference data E is not in the range of 3 mb ≧ E ≧ 0 mb, the flow advances to step S 408 to determine whether or not the range of 0 mb> E ≧ −3 mb. If within the range, step S40
In step 9, after the value "2" representing "rainy and cloudy" is stored in the register X, the flow shifts to step S405.

If the pressure difference data E is not in the range of 0 mb> E ≧ −3 mb in step S 408, that is, if E <−3 mb, the process proceeds to step S 410 in this case, and the register X After the value “3” representing “rain” is stored in step S405, the process proceeds to step S405.

Thus, a weather forecast algorithm for determining one of the four types of forecast display graphics based on the measured value of the current air pressure and the average value of the measured air pressure in 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, CPU 1 first reads ROM 8 in step S501.
, The rainfall probability data of the date eight hours after the current time is read. Next, in step S502, it is determined whether or not the value of the weather forecast data obtained in the register X in the above-described weather forecast processing is “0” (X = 0), that is, whether or not the forecast is “fine”. If "clear", the process proceeds to step S503, in which the rainfall probability data on the date eight hours after the current time read from the ROM 8 is referred to.

Then, the rainfall probability data is "0-20
If it indicates "%", the process proceeds to step S504, and "3" is set in the register Y. As a result, in the rainfall probability data display process described above, the value “3” is read from the register Y, and based on this, the “large” indicator of the reliability display unit 25 of the display unit 12 is lit and displayed. . As described above, 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 to be large.

If it is determined in step S503 that the rainfall probability data indicates "20 to 40%", the flow advances to step S505 to set "2" in the register Y.
Thereby, in the rainfall probability data display processing, the value “2” is read from the register Y, and based on this,
The “medium” indicator of the reliability display unit 25 of the display unit 12 is lit on. As described above, 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 to 60%", the process proceeds to step S506. In this case, "2" is set in the register Y. Thus, also in this case, by reading the value “2” from the register Y in the rainfall probability data display process, the “medium” indicator of the reliability display unit 25 of the display unit 12 is lit. Thus, 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 the above step S503,
If the rainfall probability data indicates “60 to 100%”, the process proceeds to step S507, and “1” is set in the register Y. Thereby, in the rainfall probability data display process,
By reading the value “1” from the register Y, the “small” indicator of the reliability display unit 25 of the display unit 12 is lit. In this way, the weather forecast is fine,
If the rainfall probability is 60 to 100%, it is displayed that the reliability of the forecast is low.

If the weather forecast is not "fine" (X = 0) in step S502, the process proceeds to step S508, and the weather forecast is "fine and cloudy" (X = 1).
Is determined. If it is “fine cloudy”, the process proceeds to step S509, and the rainfall probability data is referred to.

Then, the rainfall probability data is "0 to 20%".
If so, the process proceeds to step S510, where "2" is stored in the register Y. If the rainfall probability data is "20 to 40%", the process proceeds to step S511, where "3" is stored in the register Y.
If the rainfall probability data is “40 to 60%”, the process proceeds to step S512, and in this case also, “2” is stored in the register Y. If the rainfall probability data is “60 to 190%”, the process proceeds to step S513. "1" is stored in the register Y. Thus, when the weather forecast is fine and cloudy, if the rainfall probability is 20 to 40%, the reliability of the forecast is displayed as large, and if the rainfall probability is 0 to 20% or 40 to 60%. Indicates that the reliability of the forecast is medium, and when the rainfall probability is 60 to 100%, the reliability of the forecast is displayed as low.

If the weather forecast is not "clear and cloudy" (X = 1) in step S508, the process proceeds to another step (not shown) to determine whether or not the weather forecast is "rainy and cloudy". If it is “rainy cloudy”, rainfall probability data is referred to.
If the rain probability data is “0 to 20%”, “1” is stored in the register Y, and the rain probability data is “20 to 40”.
%, "2" is stored in the register Y, and if the rainfall probability data is "40-60%", "3" is stored in the register Y.
If the rainfall probability data is “60 to 190%”, “2” is stored in the register Y in this case as well. Thus, when the weather forecast is rainy and cloudy, the probability of rainfall is 40 to 6
If it is 0%, the reliability of the forecast is displayed as large,
When the rainfall probability is 20 to 40% or 60 to 100%, the reliability of the forecast is displayed as medium, and the rainfall probability is 0.
If it is ２０20%, it is displayed that the reliability of the forecast is low.

If the weather forecast is not “rainy cloudy”, the remaining weather forecast is “rain”, and the process proceeds to another step to refer to the rainfall probability data in the “rainy” weather forecast. And the rainfall probability data is "0-20%"
Then, if the register Y is “1”, the rainfall probability data is “20 to 40%”, the register Y is “2”, and if the rainfall probability data is “40 to 60%”, Also stores “2” in the register Y, and the rainfall probability data is “6”.
If it is "0 to 190%", "3" is stored in the register Y. Thereby, when the weather forecast is rain, if the rainfall probability is 60 to 100%, the reliability of the forecast is displayed as large, and if the rainfall probability is 20 to 40% or 40 to 60%. The reliability of the forecast is displayed as medium, and when the rainfall probability is 0 to 20%, the reliability of the forecast is displayed as small.

As described above, the algorithm for determining the reliability described with reference to FIG. 7 is realized. In the above embodiment, the display of the rainfall probability display unit 27 is displayed in four stages. However, the present invention is not limited to this. For example, the display may be performed every 10% of the rainfall probability. May do it. The reliability display is not limited to “large”, “medium”, and “small”, and a display such as a circle, a triangle, and a cross may be used.

[0057]

According to the present invention, the degree of difference between weather forecast data based on atmospheric pressure measurement and weather probability (rainfall probability) data based on past statistics is automatically determined, and the weather forecast is displayed. Determines the reliability of the data and displays the reliability together with the number of consecutive days including the current day.
Since the past weather probability data of the day is read and displayed at the same time, even if the weather forecast and the rainfall probability display are different, the user can view the displayed weather forecast by the reliability display. The tendency can be judged independently and the forecast can be used. In addition, even if the weather forecast and the display of the rainfall probability 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 understood, so that the judgment is not lost. . Ma
Also, since it can be compared with the next day's weather probability data,
You can make accurate decisions.

[Brief description of the drawings]

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

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

FIG. 3 is a general flowchart.

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

FIG. 5 is a flowchart illustrating details of a reliability determination process in the general flowchart.

FIG. 6 is a diagram illustrating an algorithm for determining a display pattern of a weather forecast from a difference between a measured atmospheric pressure and an 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 embodiment.

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

[Explanation of symbols]

 REFERENCE SIGNS LIST 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 unit 21 weather forecast display unit 24 Current time display section 25 Reliability display section 27 Rainfall probability display section 29 Date display section

──────────────────────────────────────────────────続 き Continued on the front page (58) Fields surveyed (Int. Cl. ⁷ , DB name) G01W 1/00-1/18 G04G 1/00 JICST file (JOIS)

Claims (1)

(57) [Claims] And pressure measuring means for obtaining pressure data as claimed in claim 1] by measuring the pressure at every predetermined time, and weather forecast data calculating means for obtaining a weather forecast data based on the measured atmospheric pressure data in said pressure measuring means, the Weather forecast data obtained by weather forecast data calculation means
And weather forecast data display control means for displaying, and the weather probability data storage means for storing the weather probability data obtained from the past of the weather for each date, weather data, which is stored in the weather probability data storage means
Weather probability data for a predetermined number of consecutive days including the current day
Weather probability data display for reading and displaying data simultaneously
Difference between the weather forecast data calculated by the control means, the weather forecast data calculation means, and the weather probability data stored in the weather probability data storage means on the same date as the date on which the weather forecast data was calculated. And a notifying means for performing a notification according to the difference determined by the determining means.