JPS5876790A - Weather forecasting device - Google Patents

Abstract

PURPOSE:To improve accuracy in forecast without increasing memory contents, by a method wherein a region selecting switch is provided in the titled device in which the variation value of atmospheric pressure is calculated based upon the present atmospheric pressure and the pressure at constant time before, and the weather is forecasted by selecting rainfall probability corresponding to the above value in a memory. CONSTITUTION:The present atmospheric pressure is measured by a pressure sensor 18, and is stored in a data memory 21 through a pressure-voltage converter 19 and an A-D converter 20. A comparator 22 reads out an atmospheric pressure value at fixed time before to compare it with the present pressure. An operating means 23 calculates the variation value between them and takes an absolute value when the region is changed over from the Pacific side to the Japan-sea side by a region selecting switch 16. The variation value is inputted to a circuit 24, and the rainfall probability is read out according to the variation value from a memory 25, and is displayed on a display 13. By the provision of the region selecting switch 16, the memory 25 is required to store atmospheric pressure of the Pacific side only, thus, the forecasting accuracy is improved without increasing memory contents.

Description

DETAILED DESCRIPTION OF THE INVENTION The present invention relates to fair and rainy weather #I', and the present invention allows the probability of rain to be known at will, and also increases the stored content of correlation data between atmospheric pressure changes and rainfall probability. The purpose is to obtain the probability of rain.

Embodiment of the present invention] Figures to Figures 7 and 7 r (shown in Figure 7) conceptually, this barometer has a four-dimensional relationship between the atmospheric pressure change value obtained from meteorological data and the probability of rain. Paying close attention to the correlation shown in the figure, we stored data on the probability of rain corresponding to various atmospheric pressure changes in all microcombinators.
The current atmospheric pressure change value is calculated from the difference between the measured current atmospheric pressure value and the atmospheric pressure value several hours ago, and the rain probability corresponding to this atmospheric pressure change value is selected from the conbeater and displayed using VC. As shown in Figure 1, the barometer has a built-in microcomputer (not shown) inside the case body 1.
In addition, an air pressure detection sensor (not shown) is installed on the surface of the case body J or is installed separately via a lead wire to input signals to the microcomputer. I am trying to display 0 without displaying 1
A predetermined schedule d11] time r(
A weather guide for the weather: 2. A picture showing rainy conditions and the word ``bad luru.'' 2. A picture showing heading for rain, and 3. A picture showing heading downhill. and ``Kamishizaka Jkichi'' display 4. A picture showing the state of clear weather and a display 5 with the words ``Good, Do'' were installed, and light emitting diodes 6 to 9 were installed on each of these thrones to display the corresponding part. In addition, today's date display 10 and current time display 11 are provided in the middle part of the case body 10.
” and the current time are output. Current atmospheric pressure value display 12 and rainfall probability display 1 on the lower surface of the case body
3, and the air pressure sensor detected by the air pressure sensor [Th
In addition to the output from the microconbeater, the probability of rain calculated from the atmospheric pressure value is also displayed. On the other hand, the operation unit is located on the side of the case body J to change the time (
Adjustment] Switch 14 and date change switch 15 are all provided to adjust the date display] 0 and time display 110 type display contents.
Sea of Japan region selection switch] 6 is provided, and 17 prediction time selection switches are provided on the surface of the case body J. This prediction time switch 17 targets predictions from how many hours later to what hours, and corresponds to the former value. ``0'' as a knob 6JJ
12J, r24J are set, and F6J, r12L "18" sweat 24" are set as the values corresponding to the latter numerical value.

The block diagram and flowchart of the microcomputer inside the case body 1 are shown in FIGS. - The voltage conversion s19 converts the voltage into a voltage, and the K A-D converter 20 converts it into an analog lid total digital amount. The air pressure of this digital lid (
FMXn is stored in the atmospheric pressure value data storage section 21 and is also inputted to the atmospheric pressure comparison section 22VC. This atmospheric pressure value data storage $21 stores the atmospheric pressure value for each hour, and the 0 atmospheric pressure comparison section 22 in which the atmospheric pressure value of the pressure sensor 18 is written is the atmospheric pressure chain hole - Called from the atmospheric pressure value data storage unit 2J, compared with the atmospheric pressure value
The atmospheric pressure change value DX is calculated by calculating n-□. This atmospheric pressure change value DX, i atmospheric pressure change - display content selection [! ll
l! The circuit 24 selects all the rainfall probabilities corresponding to the atmospheric pressure change value DXn from the contents of the atmospheric pressure change to rainfall probability storage section 25. The rain probability storage section 25 stores the rain probabilities for changes in atmospheric pressure obtained from weather data as described above, and displays the selected rain probabilities on the rain probability display 13 through the driver 26. By measuring the current atmospheric pressure in this way, the probability of rain (5) for a predetermined period of time can be obtained, making it easy to predict whether it will be sunny or rainy.

Next, various additional configurations will be explained. The first is regional selection. This is based on the fact that the correlation between atmospheric pressure changes and rainfall probability differs depending on the region.

This area is divided into the Pacific Ocean side and the Sea of Japan side. Figure 4 shows the atmospheric pressure changes versus rainfall probability in Osaka (regional meteorological observatory) as a representative example of the former, and that of Kanazawa (local Kekandai) as a representative example of the latter. is shown in Figure 5 VC.

As can be seen from these figures, in Osaka, the probability of rain decreases as the atmospheric pressure change DXn becomes more intense.
In Kanazawa, the probability of rain is minimal when the atmospheric pressure change DXn is around 0, and increases as the atmospheric pressure change becomes more positive or negative.

-f: A region selection switch 16 is provided as shown in Figs. The atmospheric pressure change value DX calculated by the atmospheric pressure change calculation unit 23 when switching to the sea side area.

Rather than calculating the entire absolute value of . ；f Niji is the absolute (
6] The absolute value of the 0 atmospheric pressure change value DXn that selects all the rain probabilities in the rain probability memory m25 corresponding to the value means that -T)Xn is treated as DXn. In other words, the characteristics shown in Figure 5 can be considered as a reference for all locations where the pressure change value is 0, and the characteristics of the absolute value of the pressure change value IDX, 1 vs. the probability of rain are VC as shown in Figure 6, which corresponds to the Pacific Ocean. It shows the same characteristics as the side characteristics. Therefore, by storing data for each region in the storage unit 25, the rainfall probability for each region can be obtained using only the data on the Pacific side, and the memory capacity of the rainfall probability storage unit 25 can be completely reduced. 〇Secondly, a prediction time selection switch 17 is provided that allows selection of multiple types of prediction time ranges, and a rainfall probability storage unit 25 is provided.
VC stores all the correlation data of atmospheric pressure change versus rainfall probability for each forecast time range u14, and when selecting the rainfall probability, the correlation data of the forecast time range set by the selection switch 17 is sent from the section 25. The 0 data that is the configuration to be called is created from weather data, but in this embodiment, the current time (0, 6.12, and 24 hours later from (III fixed time)) and 6.12 hours after these times are used. 12.1
Data is stored for each period of 8 and 24 hours. With this configuration, it is possible to know well the probability of rain at an arbitrary time that the user wants to know.

The third is the function of season selection 27. Considering that the correlation between atmospheric pressure changes and rainfall probability differs depending on the season, the correlation data for each of the four seasons is stored in the rainfall probability storage section 25 instead of the annual average data VC.

Based on the date set by the date change switch 15, a season is selected by the function of the yearly calendar 28, and all corresponding data in the storage section are automatically recalled.

The fourth is the correction of atmospheric pressure values based on time, i.e. daily variation correction 29
This function corrects the difference between the hourly average atmospheric pressure value and the daily average atmospheric pressure value by adding or subtracting it to the measured value during all measurements. From July 1, 1982 to Osaka and Kanazawa
What is the result of calculating the average value of the atmospheric pressure values every 3 hours on June 30th? The results are shown in the table below, and the average graph is shown in FIG.

! X7 Diagram r (where Q1r/'i is the daily average value of atmospheric pressure value, and Q2 is the hourly average value of atmospheric pressure value. From the above Ebisu and Figure 7, the maximum difference is 2.2 mb in Osaka, and Kanazawa. Maximum difference l, 5mb4, 9 o'clock, 21 o'clock r max i/c
&su, 3 o'clock and 15 o'clock VC It is known that the minimum VC is 0. Therefore, even though the daily change is corrected for the atmospheric pressure value, is the probability of rain accurate with past correlation data? For example, at 9 o'clock, the measured atmospheric pressure value VCa(m
b) If the negative value is 15 o'clock, the measured atmospheric pressure value is 1 cb (m
b) Perform "plus 1" change correction (9) If you calculate a smaller atmospheric pressure change, the accuracy of prediction will increase. This correction is performed by automatically correcting the atmospheric pressure value output from the A/D converter 20 using the daily change correction 29 based on the function of the calendar 28 in which the date is set.

As described above, the barometer of the present invention compares the current atmospheric pressure value with the atmospheric pressure value a certain time ago to calculate the atmospheric pressure change value, and selects the rain probability corresponding to this atmospheric pressure change value from the rain probability storage unit. A region selection switch and a region correction section that corrects the region of the obtained atmospheric pressure change value are provided in the fair and rainy needle that predicts clear and rainy weather, and the rain probability corresponding to the corrected atmospheric pressure change value is calculated from the entire storage section. Since the selection is made, it is possible to predict whether it will be rainy or sunny when necessary, and the regional VC rainfall probability can be predicted without increasing the total capacity of the VC storage unit, thereby improving prediction accuracy.

[Brief explanation of drawings]

FIG. 1 is an external perspective view of an embodiment of the present invention, and FIG. 2 is a block diagram of the operation of the microcomputer. Figure 3 is the flowchart, and Figure 4 is the (10
) Figure 5 is a graph of pressure change versus rainfall probability in Kanazawa, Figure 6 is a graph of absolute pressure change versus rainfall probability, and Figure 7 is a graph of daily pressure value data. be. 1. Case body, 13. Rainfall probability display, ] 6. Area selection switch, 17. Forecast range selection switch, ] 8.
Pressure sensor, 2]...Atmospheric pressure value data, 1 piece memory, 23.
・Atmospheric pressure change calculation unit, 24 ・Atmospheric pressure change - display content selection (b) path, 25 ・Rainfall probability storage unit, 27 Season selection, 2
9. Daily change correction (11) Ki noshi = strange iji Oxn (mb/3ax) 4th
Figure 6 Graphical 1ffi-(h) Figure 7 Atmospheric pressure change” (”b/3aqm) Figure 5 2 1 5C

Claims (2)

[Claims] (1) A pressure sensor that detects the current atmospheric pressure, an atmospheric pressure data storage section that stores the atmospheric pressure value a predetermined time before that point in time, and the atmospheric pressure value of the pressure sensor and the atmospheric pressure value of the atmospheric pressure data storage section. a region selection switch, and a region correction section that corrects the pressure change value of the pressure change calculation section in accordance with the region selection of the region selection switch; a rainfall probability storage section that stores rainfall probabilities corresponding to various atmospheric pressure change values; a selection section that selects from all the rainfall probability storage sections that correspond to the atmospheric pressure change values corrected by the region correction section; and this selection section. A barremeter equipped with a display section that displays the probability of rain. (2) The rainfall probability storage unit stores correlation data of rainfall probabilities corresponding to each pressure change value in the Pacific Ocean side area, and the area correction unit stores correlation data of the rain probability corresponding to each of the pressure change values in the Pacific Ocean side area, and the area correction unit stores the rain probability correlation data in the area V on the Sea of Japan side.
When C is switched, all the absolute values of the pressure change values of the pressure change wave X section are determined, and the selection section selects a rain probability corresponding to the absolute value from the rain probability storage section. The barremeter described in (1).