KR101861838B1 - Actual effect precipitaion calculation apparatus and method for weighting precipitation-gauge - Google Patents

Abstract

The present invention relates to an apparatus and a method for calculating effective precipitation of a weighted precipitation meter, which comprises a temperature sensor for detecting the temperature inside the precipitation meter, a load cell for detecting the weight of the reservoir, And a temperature coefficient for converting the basic data to a temperature correction basic data for correcting the difference in detection characteristics of the load cell depending on the temperature is calculated, and the change in the detection value of the load cell according to the temperature change for a predetermined time is a slope A temperature correcting unit for calculating a basic temperature coefficient, extracting only effective temperature coefficients from the basic temperature coefficient to determine an effective temperature coefficient, calculating an average of the effective temperature coefficient to calculate an applied temperature coefficient, The amount of precipitation in the rotation section is obtained using the correction basic data, and the amount of precipitation in the rotation section And an effective precipitation amount calculation unit for calculating a cumulative precipitation amount and then outputting a final cumulative precipitation amount simplified to a specific display unit of the cumulative precipitation amount.

Description

Technical Field [0001] The present invention relates to an effective precipitation calculation apparatus and method for weighted precipitation,

The present invention relates to an effective precipitation calculation method for a gravimetric precipitation meter, and more particularly, to an apparatus and a method for calculating an effective precipitation number through automatic temperature correction.

In general, a precipitation meter for measuring precipitation uses a load cell equipped with a weight and a conduction system that measures the number of times the conduction cup is eccentrically installed due to precipitation.

In the case of the weight measuring method, a plurality of reservoirs are used. The weight of a specific reservoir is measured by a load cell. The result of subtracting the weight of the reservoir from the measurement result is used as the accumulated precipitation weight. And the like. An example of such a weighing-type precipitation meter is specifically described in the Japanese Patent Registration No. 10-0872502.

However, the load cell used in the weighted precipitation system may have a change in the weight measured according to the temperature change. In other words, the bridge equilibrium point moves according to the change of the external temperature, or the inherent elastic modulus changes according to the material of the retaining part due to the change of the external temperature, so that there may be an error in the weight measurement value. A difference occurs.

The error of the load cell due to the temperature may result in an abnormal output corresponding to a rainfall of 0.1 mm to 0.2 mm or more even in the case of rain or snow. Therefore, when manufacturing a weighted precipitation system, the temperature correction formula should be obtained through a black chamber experiment.

However, there is a difference in weight detection characteristics depending on the influence of temperature on each individual load cell. In order to produce an accurate weighted precipitation system, there is a problem that the above-mentioned calibration chamber experiment is required for all weighted precipitation systems.

It is very difficult to remove from the result of precipitation because the effect of temperature error is different from the change of wind pressure due to wind. It is possible to remove the influence easily because of the characteristic that wind pressure fluctuates with short period of vibration. However, since the influence by temperature is characterized by a gradual increase or decrease similar to the weak precipitation phenomenon, It is not easy to remove the effects because they are similar.

A method for compensating for the temperature characteristic of a load cell having characteristics similar to the precipitation phenomenon has not been developed in the past, and a method of measuring weighted precipitation and rainfall having an automatic drain function and a method for measuring precipitation amount, May 8, 2013 A device and a method using insulation, a heat insulating material and a heating device for maintaining the temperature around the load cell at a certain level as in the case of the above-mentioned heat treatment,

However, such a conventional technique is not suitable for use when the temperature difference between summer and winter is large, and there is a problem that the volume is increased due to the addition of additional facilities and the manufacturing cost is increased.

In order to solve the above problems, an object of the present invention is to provide an effective precipitation calculation apparatus of a gravimetric precipitation meter capable of compensating a measurement error component of a load cell caused by a change in temperature itself without adding a separate facility, Method.

Another object of the present invention is to provide an effective precipitation calculation apparatus and method of a gravimetric rainfall gauging system in which temperature correction can be automatically performed in a state where a test chamber is installed on a site without conducting a test of a test chamber for each precipitation gauge manufactured.

It is another object of the present invention to provide an effective precipitation calculation apparatus and method of a weighted precipitation system in which the measurement error of the load cell can be corrected quickly according to temperature.

According to an aspect of the present invention, there is provided an effective precipitation calculation apparatus for a gravimetric rainfall gauge, including a temperature sensor for detecting a temperature inside a rainfall gauge, a load cell for detecting a weight of the reservoir, And a temperature coefficient for converting a basic data periodically input from the temperature sensor into a temperature correction basic data for correcting a difference in detection characteristics of the load cell depending on a temperature, Calculating an effective temperature coefficient by determining an effective temperature coefficient by extracting only a valid temperature coefficient from the basic temperature coefficient, calculating an average of the effective temperature coefficient, and calculating an applicable temperature coefficient, And a temperature-correction basic data of the temperature corrector to obtain a rotation interval precipitation amount, And an effective precipitation amount calculation unit for calculating the cumulative precipitation amount by adding the immediately preceding rotation precipitation amount of the reservoir and outputting the final cumulative precipitation amount simplified to a specific display unit of the cumulative precipitation amount.

According to another aspect of the present invention, there is provided a method for calculating effective precipitation of a weighted precipitation system, comprising the steps of: a) obtaining temperature data and weight data from a temperature sensor and a load cell at regular intervals to obtain basic data; b) Calculating an effective temperature coefficient by removing a singular value from the base temperature coefficient; d) calculating an effective temperature coefficient by subtracting a specific value from the base temperature coefficient; Calculating an average of effective temperature coefficients to calculate an applied temperature coefficient; e) generating a temperature correction basic data by correcting the temperature of the basic data using the applied temperature coefficient; f) And correcting the amount of precipitation to be measured.

The apparatus and method for calculating the effective precipitation of a weighted precipitation system according to the present invention compensates for a change component of a measured value of a load cell caused by a change in the temperature of the precipitation system itself without adding any additional equipment, And an increase in manufacturing cost can be prevented.

In addition, the present invention can solve the inconvenience of performing a calibration chamber test for each weight type precipitation meter to be manufactured, and can automatically compensate for the change component of the measured value of the load cell depending on the temperature, The convenience and reliability can be improved.

In addition, according to the present invention, it is possible to make the time for guaranteeing the change component of the measured value of the load cell according to the temperature described above to be close to real time, thereby improving the reliability of the measured value of precipitation.

1 is a block diagram of an effective precipitation calculation apparatus of a weighted precipitation meter according to an embodiment of the present invention.
2 is a flowchart of an effective precipitation calculation method of a weighted precipitation system according to an embodiment of the present invention.
FIG. 3 is a detailed flowchart of step S20 in FIG.
4 is a detailed flowchart of step S30 in FIG.
5 is a detailed flowchart of step S40 in FIG.
6 is a detailed flowchart of step S60 in FIG.
FIG. 7 is a detailed flowchart of step S70 in FIG.
8 to 11 are graphs of respective parameters applied to the present invention.

The embodiments of the present invention can make various changes and have various embodiments, and specific embodiments will be described in detail with reference to the drawings. It should be understood, however, that the embodiments of the present invention are not limited to specific embodiments, but include all modifications, equivalents, and alternatives falling within the spirit and scope of embodiments of the present invention.

Terms including ordinals, such as first, second, etc., may be used to describe various elements, but the elements are not limited to these terms. The terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the embodiments of the present invention, the first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component. And / or < / RTI > includes any combination of a plurality of related listed items or any of a plurality of related listed items.

The terminology used in the embodiments of the present invention is used only to describe a specific embodiment and is not intended to limit the embodiments of the present invention. The singular expressions include plural expressions unless the context clearly dictates otherwise. In the embodiments of the present invention, terms such as "comprise" or "comprise ", etc. designate the presence of stated features, integers, steps, operations, elements, parts, or combinations thereof, It should be understood that the foregoing does not preclude the presence or addition of other features, numbers, steps, operations, elements, parts, or combinations thereof.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which the embodiments of the present invention belong. Terms such as those defined in commonly used dictionaries are to be interpreted as having a meaning consistent with the meaning of the context in the related art and, unless explicitly defined in the embodiments of the present invention, are intended to mean ideal or overly formal .

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An apparatus and method for calculating effective precipitation of a weighted precipitation system will now be described with reference to the accompanying drawings.

1 is a block diagram of an effective precipitation calculation apparatus of a weighted precipitation meter according to an embodiment of the present invention.

1, the present invention can be configured to include a temperature correction unit 10, an effective precipitation amount calculation unit 20, a storage unit 30, a load cell 40, and a temperature sensor 50, The specific configuration and operation of each component will be described in detail with reference to FIGS. 2 to 9 below.

The main control unit 60 is for controlling the overall operation of the gravimetric rainfall gauge.

2 is a flowchart illustrating an effective precipitation calculation method of a weighted precipitation system according to an embodiment of the present invention.

Referring to FIG. 2, the temperature correction unit 10 receives weight information detected at a predetermined time interval from the load cell 40, and receives a temperature measurement value from the temperature sensor 50 according to a predetermined period (S10). At this time, the weight information input to the temperature corrector 10 is weight information detected by the load cell 40 itself regardless of the current temperature. For the sake of explanation of the present invention, weight information and temperature information of step S10 are defined as basic data (M).

Although the basic data M is directly inputted from the load cell 40 and the temperature sensor 50 to the temperature correction unit 10 in FIG. 1, the basic data M may be inputted through the main control unit 60.

In the present invention, the temperature correction unit 10 and the effective precipitation amount calculation unit 20 perform arithmetic processing sufficiently described below including an arithmetic algorithm. In the present invention, the temperature correction unit 10 and the effective precipitation amount calculation unit 20 are divided into a configuration separated from the main control unit 60 However, the hardware configuration may be configured integrally with the main controller 60.

In this sense, the temperature correction unit 10 can access and use the basic data M from the storage unit 30 storing the weight detection result of the load cell 40, It is enough to be able to be.

The input period of the basic data M input to the temperature corrector 10 is a value that can be arbitrarily set. In the present invention, the detection of the load cell 40 and the temperature sensor 50 And the period is set to 10 seconds.

Such limitation does not limit the scope of the present invention.

Next, the temperature corrector 20 calculates the basic temperature coefficient Cb using the input basic data M (S20). The basic data M and the temperature measurement value at the previous specific time point may be called from the storage unit 30 in which the basic data M are stored.

The method of calculating the basic temperature coefficient Cb is a method of detecting the increase or decrease of the temperature by using the temperature measurement value at the previous time point and the current temperature measurement value among the temperature measurement values of the temperature sensor 50, The ratio of increase / decrease of weight due to increase / decrease of weight can be calculated and calculated.

In the state where the precipitation system is initially operated, since there is no information of the previous temperature measurement value, it is assumed that the step S20 is operated after a predetermined time has elapsed after the initial operation.

A typical weighted precipitation meter is provided with a reservoir for storing precipitation, and performs a reset operation in which the reservoir is multiplied by the precipitation number stored in the reservoir according to a reset condition set at a predetermined time or at a constant water level. The initial operation above can be used with the same meaning as after the reset operation.

In the present invention, after 15 minutes (900 seconds) have elapsed after the reset or the initial operation, step S20 is performed to calculate the basic temperature coefficient Cb.

3 is a detailed flowchart of step S20.

Referring to FIG. 3, in step S20, the difference between the detected temperature Ta (15M) and the currently detected temperature Ta (O) in the state 15 minutes before is obtained as in step S21, To 1 degree.

That is, the absolute value of the difference (Ta (15M) - Ta (0)) between the temperature Ta (15M) 15 minutes before and the current temperature Ta (0) is within a specified range. Since a typical temperature change is unlikely to cause a difference of more than 1 degree in 15 minutes, it can be judged that there is an abnormality in the measurement result when a temperature value exceeding 1 degree is changed.

In particular, for a more accurate measurement result, a 10-minute average at a particular point in time can be used without using the temperature at a particular point in time (15 minutes before or at present).

In Fig. 3, Ta represents a 10-minute average value of the temperature at a specific point in time. Ta (15M) is the average of the temperature at 15 minutes before and around 10 minutes of the temperature, Ta (0) is the average value of the temperature between the present temperature and the previous 10 minutes. Since the detection of temperature and weight is performed at intervals of 10 seconds, the 10 minute average can be understood as a total of 60 data averages.

In step S21, it is determined whether the absolute value of the difference between the weight of the previous state and the weight of the current state is less than a specific weight.

For example, it can be confirmed whether the difference between the 3 minute average (Ma (15M)) of the weight detected by the load cell 40 15 minutes before and the 3 minute average (Ma (0)) of the presently detected weight is less than 3g. This is because the difference between the precipitation amount 15 minutes ago and the present precipitation amount is not more than 3 gram difference.

The above temperature (practically the precipitation system internal temperature) uses a 10-minute average, and the weight uses a 3-minute average because the change in the internal temperature is usually not steeper than the change in the weight, It is aimed at a certain level.

In step S21, the basic temperature coefficient Cb is set to 0 as in step S27 in all cases except that the change amount of the temperature is in the range of 0.1 to 1 占 폚 and the change in weight is less than 3g.

The meaning of setting the basic temperature coefficient Cb to 0 can be regarded as a detection state as long as the basic data M does not match the set condition.
In step S21, it is checked whether the difference between the temperature and the weight at the previous time point and the current time point is within the normal range. If the difference is within the normal range, the value of the basic temperature coefficient Cb is calculated and used. The basic temperature coefficient Cb is set to 0, which is a set value.

Next, as in step S22, the difference between the temperature detected 15 minutes before and the present time is calculated at an adjacent time point that is 10 seconds different from the specific time point and the specific time point.

The temperature detected from 15 minutes ago to now is 90, and the tendency of the temperature change (DT (0-15M)) can be confirmed by calculating the difference between the 90 detected temperatures and the adjacent detected temperatures.

It is determined whether the data having the temperature change DT (0-15M) is less than 0 and whether the number of data having a temperature change DT (0-15M) larger than 0 is 60 or more If both conditions are not satisfied, step S23 is performed.

In step S23, it is determined whether or not the number of data having a value larger than 0 in the temperature change DT (0-15M) is 0 and the value of data having a value smaller than 0 in the temperature change DT (0-15M) Check that the number is 60 or more.

The steps S23 and S22 may be understood to detect the inclination of the temperature change (the direction of the temperature change). That is, a temperature change for 15 minutes can be detected by comparing the temperature 15 minutes before and the current temperature, and calculating the difference in temperature data every 10 seconds, which is the set time.

When all of the determination conditions in step S23 are not satisfied, the basic temperature coefficient Cb is set to 0 as in step S27.

Then, if the determination condition of step S22 is satisfied or the determination condition of step S23 is satisfied, the direction of change of weight detected for 15 minutes is confirmed as in step S24.

In step S24, the weight change (DM (0-15M)) is obtained by subtracting 90 weight detection values detected at intervals of 10 seconds from 15 minutes before to the present weight to the neighboring weight detection values, and DM (0-15M) Check whether the number of data whose value is less than 0 is less than or equal to 1, and whether the number of data whose value is greater than 0 is 7 or more.

If the two conditions of step S24 are not satisfied, step S25 is performed.

In step S25, it is determined whether or not data having a value larger than 0 in the DM (0-15M) is less than or equal to 1, and whether or not data having a value smaller than 0 is 7 or more. If the two conditions in step S25 are not satisfied, the value of the basic temperature coefficient Cb is set to zero.

If the conditions of S24 and S25 are satisfied, a 3-minute average (Ma (0)) of the weights detected in the load cell 15 15 minutes before the 3-minute average (Ma And the result is divided by the difference between the 10 minute average (Ta (0)) of the present detected temperature and the 10 minute average (Ta (15M)) of the temperature detected 15 minutes ago as the base temperature coefficient Cb).

That is, the basic temperature coefficient Cb is calculated by ascertaining the increase or decrease of the temperature and the increase or decrease of the detected weight, and to set the basic temperature coefficient Cb only when the set temperature is met.

When the basic temperature coefficient Cb is determined as described above, the effective temperature coefficient is determined as in step S30. In order to calculate the effective temperature coefficient Ce, an application temperature coefficient (Ca (10S)) of 10 seconds before is used.

The effective temperature coefficient Ce to be obtained in step S30 is intended to eliminate such a specific value because the base temperature coefficient Cb determined above is volatile due to temporal limitation and has a large value in the presence of precipitation phenomenon.

4 is a detailed configuration diagram of the step S30.

First, in step S31, it is checked if the value of the applied temperature coefficient Ca (10S) in the immediately preceding state is 0 and the current basic temperature coefficient Cb (0) calculated in step S20 is greater than 0, The effective temperature coefficient Ce is determined as the basic temperature coefficient Cb (0) calculated in the foregoing manner.

As a result of the judgment in the step S31, if the condition is not satisfied, the value of the application temperature coefficient Ca (10S) in the immediately preceding state is larger than 0 and the absolute value of the present base temperature coefficient Cb (0) It is confirmed whether the absolute value of the number (Ca (10S)) multiplied by 1.8 is larger and whether the absolute value of the applied temperature coefficient Ca (10S) in the immediately preceding state is larger than 0, The value of the effective temperature coefficient Ce is determined as an average value of the current basic temperature coefficient Cb and the immediately preceding application temperature coefficient Ca (10S).

If the condition of step S33 is not satisfied, it is checked whether the present basic temperature coefficient Cb (0) is 0 as in step S35 and whether or not the immediately preceding state applied temperature coefficient Ca (10S) and the present basic temperature coefficient Cb ) Is less than 0, and it is confirmed whether the absolute value of the present basic temperature coefficient Cb is larger than the value obtained by multiplying the immediately preceding state applied temperature coefficient Ca (10S) by 3.

If all the conditions are satisfied, the effective temperature coefficient Ce is set to 0 as in step S36, and if it is determined that the effective temperature coefficient Ce does not satisfy the condition, (10S)).

After determining the effective temperature coefficient Ce, the applied temperature coefficient Ca is calculated using the effective temperature coefficient Ce as in step S40.

The applied temperature coefficient Ca is calculated by averaging the effective temperature coefficient Ce for a maximum of 24 hours, and is a constant applicable to the temperature correction.

As a specific method of determining the applicable temperature coefficient Ca, it is checked whether the number of data indicating a value larger than 0 out of the determined present effective temperature coefficient Ce (0) is 0, as in step S41.

If the number of data is not 0 in step S41, the applied temperature coefficient Ca is set as an average value of the effective temperature coefficient Ce up to the present after reset, as in step S42.

If the condition of step S41 is satisfied, it is checked whether the data having a value smaller than 0 out of the effective temperature coefficient Ce is zero. If it is not 0, the step S42 is performed and if it is 0, the applicable temperature coefficient Ca is set to the applied temperature coefficient Ca (10S) in the immediately preceding state as in the step S44.

That is, in the step S40, the applied temperature coefficient Ca (10S) in the previous state is used as the present applied temperature coefficient Ca only when the present effective temperature coefficient Ce is all 0, The number Ca is set as an average value of all the effective temperature coefficients Ce up to the present after the reset state in which the low-water cistern is conducted. At this time, the time until the present state after the reset state should not exceed 24 hours, which is to prevent an increase in the calculation amount due to the use of excessive data.

Next, the temperature corrector 10 calculates the temperature correction basic data Mc as in step S50.

The temperature correction basic data Mc is a value reflecting the influence of the temperature corresponding to the difference between the temperature at the reset time and the present temperature in the basic data M generated every 10 seconds.

[Equation 1]

Mc = Ma (0) - ((Ta (0) - Ta (reset)) * Ca

That is, the influence of the temperature is determined by multiplying the set applied temperature coefficient Ca by the difference between the 10-minute mean value Ta (0) of the currently detected temperature and the 10-minute temperature average value Ta (reset) The result can be subtracted from the 3-minute average value (Ma (0)) of the weight to obtain the temperature correction basic data (Mc).

The temperature correction unit 10 calculates the temperature correction basic data Mc, and the steps S60, S70, and S80 are performed in the effective precipitation amount calculation unit 20.

In step S60, the effective precipitation amount in the rotation section is calculated. Here, the 'rotation section' is the same as the above-mentioned reset, and the weighted precipitation meter uses a method of rotating the low-water cistern according to the set cycle, so that the section where the water cistern is rotated is referred to as' .

6 is a detailed flowchart of step S60.

In step S60, first, difference results D obtained by calculating the difference between the basic data M input at intervals of 10 seconds and the basic data M 10 seconds before are obtained. Then, as in step S61, it is checked whether the number of data having a value larger than 0 among the difference results D (0-1M) for the past one minute is 6. Since the difference results D (0-1M) are all six, it is a process of confirming whether all the data are greater than zero.

If it is determined in step S61 that all the difference results D (0-1M) do not have a value larger than 0, the rotation section precipitation amount P is set to the immediately preceding rotation section precipitation amount P (10S) as in step S69 .

If it is determined that the sum of the difference results D (0-1M) is equal to or greater than 0.09 in step S62, the rotation interval rainfall amount P is divided into the immediately preceding rotation interval precipitation amount P (10S) And the difference (DMc) between the maximum values of the temperature correction basic data for the past three minutes from now and the temperature correction basic data (Mc).

If the result of step S62 is not equal to or greater than 0.09, step S64 is performed. In step S64, 18 data, which is the difference value (DM (0-3M)) of the average value Ma of the basic data for the past three minutes from the present, is obtained and it is confirmed whether or not the data smaller than 0 is zero.

As a result of the determination in step S64, if it is not 0, the rotation section precipitation amount P is determined as the immediately preceding rotation section precipitation amount P (10S). If it is 0, the basic data average value Ma in the past 3 minutes from the present, Of the difference value DM (0-3M) is greater than zero. If the condition in step S65 is not satisfied, the immediately preceding state rotation section rainfall amount P (10S) is set as the rotation section precipitation amount P.

As a result of the determination in step S65, if the value greater than 0 is greater than 15, the difference value (DMc (0-3M)) of the temperature correction basic data Mc for the past three minutes (P (10S)). If the number of data is not 0, it is determined that the rotation section precipitation amount P is the previous state rotation section precipitation amount P (10S) (0-3M) is greater than 15, and if it does not exceed the previous value, set the previous-period rotation period precipitation amount (P (10S)) as the rotation period precipitation amount (P).

If it is determined in step S67 that the difference is greater than 15, it is determined whether the difference value DM of the basic data and the difference value DMc of the temperature correction basic data exceed 0 both as in step S68, (P (10S)) is set to the rotation section rainfall amount (P), and if all the values are greater than 0, the rotation section rainfall amount P is divided into the immediately preceding rotation section precipitation amount P (DMc) of the maximum value of the temperature correction basic data for the past three minutes from now and a temperature correction basic data (Mc).

Since the rotation section rainfall amount thus obtained becomes zero at the time when the reset is completed, it is necessary to add a new precipitation amount to the immediately preceding rainfall amount after resetting. In the present invention, it is defined as cumulative precipitation amount, and in step S70, cumulative precipitation amount is calculated.

7 is a detailed flowchart of step S70.

First, in step S70, it is determined whether the rolling section rainfall amount P (1M) before 1 minute is 0 mm. If it is not 0 mm, the accumulated rainfall amount PA is reset to the accumulated rainfall amount PA (reset) (P (0)) in step S73.

If the result of step S71 is 0 mm, it is checked whether the current rotation section rainfall amount P (0) is 0.15 mm or more. If it is less than 0.15 mm, the step S73 is performed. Is set as an average of the immediately preceding cumulative precipitation amount PA (10S), the previous cumulative precipitation amount PA (20S), and the current rotation section precipitation amount P (0).

This is because there is a difference in the expression of precipitation because the rotation interval precipitation (P) is based on the temperature correction basic data (Mc) when detecting precipitation for the first time. Considering this fact, Is set as the cumulative precipitation amount PA.

Then, in step S80, the effective precipitation amount calculation unit 20 outputs the final cumulative precipitation amount. The final cumulative precipitation amount (PO) is calculated by rounding off the cumulative precipitation amount (PA) in units of 0.1 mm and rounding off the number of the second decimal place of the cumulative precipitation amount (PA).

As described above, the present invention can measure the precipitation amount in consideration of the difference in weight detected according to the temperature change of the moon river without installing any additional equipment.

Fig. 8 shows an example of three days of precipitation in a water-suspended state.

As shown in the figure, the temperature (T) was changed after two days (172800 seconds) and the temperature (T) changed according to the day cycle on the 1st and 2nd day.

FIG. 9 is a graph enlarging a part of the graph at the time of the Muang River in FIG.

Referring to FIG. 9, the temperature T detected by the temperature sensor 50 is changed in a range of at least 11 degrees Celsius to 25 degrees Celsius for a period. The temperature T detected by the temperature sensor 50 is an internal temperature of the precipitation meter.

As the temperature changes, the average value (Ma) of the basic data (M) for three minutes is close to the temperature (T).

That is, it is possible to output that the precipitation amount is 0.1 to 0.2 mm in accordance with the change of the temperature T even in a non-rain state.

However, in the case of the temperature correction basic data (Mc), it can be seen that it is calibrated similarly to 0mm which is the condition of the rudder water according to the relation with the temperature correction coefficients, and the rotation period precipitation amount (P ) And the final cumulative precipitation (PO) are stabilized at 0 mm.

FIG. 10 is an enlarged graph of the beginning of precipitation in FIG.

As shown in the figure, the temperature (T) decreases as the precipitation starts, and Ma, which is the average weight in three minutes, increases due to the increase in the precipitation stored in the low water cistern.

At this time, Ma is a value without temperature correction, and the correction temperature basic data (Mc) obtained by correcting Ma by the temperature coefficient has a higher value than Ma, and the final corrected data The cumulative precipitation amount PO can be obtained. The final cumulative precipitation (PO) is 0.1 millimeter unit, as described above, and has a shape of a disconnected graph.

FIG. 11 is an enlarged graph of the end portion of the precipitation in FIG. 9. FIG. 11 is a graph in which there is a change in the temperature T even after 259200 seconds of the end of the precipitation, but the final cumulative amount of precipitation PO hardly changes.

As described above, the present invention can measure the accurate precipitation amount through automatic temperature compensation by itself in the installed state.

It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit and scope of the invention will be.

10: Temperature correction unit 20: Effective precipitation amount calculation unit
30: storage unit 40: load cell
50: temperature sensor 60:

Claims (10)

A temperature sensor for detecting the temperature inside the precipitation system;
A load cell for detecting the weight of the cistern;
A temperature coefficient for converting a basic data periodically input from the load cell and the temperature sensor into a temperature correction basic data for correcting a difference in detection characteristics of the load cell depending on a temperature, Calculating an effective temperature coefficient by calculating an elementary temperature coefficient whose change in detection value is a slope of a consistent section and extracting only a valid thermometer number from the basic temperature coefficient and determining an effective temperature coefficient, Complementary government; And
A cumulative precipitation amount is calculated by adding the pre-rotation precipitation amount of the low water column to the rotation section precipitation amount using the temperature correction basic data of the temperature correction unit, And an effective precipitation amount calculating unit for outputting the precipitation amount.
The method according to claim 1,
Wherein the temperature correction unit comprises:
And the basic temperature coefficient is calculated by calculating the weight change amount with respect to the temperature change amount by selecting a case where the change amount of the weight according to the temperature change is consistent for the previous 900 seconds through the basic data input at intervals of 10 seconds. Effective precipitation calculation system.
3. The method of claim 2,
The effective temperature coefficient
Wherein the basic temperature coefficient is compared with the applied temperature coefficient in the immediately preceding state to obtain the effective precipitation amount of the weighted precipitation system.
The method of claim 3,
The temperature correction basic data includes:
Wherein the effective precipitation amount is calculated by adding the value obtained by multiplying the difference between the temperature at the time of reset and the present temperature by the applied temperature coefficient to the basic data.
a) detecting temperature and weight from the temperature sensor and the load cell at regular intervals to obtain basic data;
b) calculating a basic temperature coefficient, which is a slope of the weight change according to the temperature change, by searching for a section in which the weight change according to the temperature change is constant from the basic data;
c) calculating an effective temperature coefficient by removing the singular value from the basic temperature coefficient;
d) determining an average of the effective temperature coefficients and calculating an applied temperature coefficient;
e) generating temperature correction basic data by correcting the temperature of the basic data using the applied temperature coefficient;
f) correcting the measured precipitation using the temperature correction baseline data.
6. The method of claim 5,
The step c)
Wherein the basic temperature coefficient is compared with the applied temperature coefficient in the immediately preceding state to remove the singular value, and the effective precipitation calculation method of the weighted precipitation system.
6. The method of claim 5,
The step e)
Wherein a value obtained by multiplying the difference between the temperature in the reset state and the present temperature by the applied temperature coefficient is added to the basic data to calculate the effective precipitation of the weighted precipitation system.
6. The method of claim 5,
The step (f)
A rolling interval precipitation calculation step in which the basic data is increased to a certain slope during a specific period of time, or the increment is continuously added while the average value of the basic data and the average value of the temperature correction basic data are both increased;
Calculating a cumulative precipitation amount by adding the precipitation amount before reset to the rotation section precipitation amount; And
And outputting a final cumulative precipitation amount by simplifying the cumulative precipitation amount.
9. The method of claim 8,
The final cumulative precipitation amount is calculated as follows:
Wherein the specific precipitation amount is calculated by rounding off a specific value below the decimal point of the cumulative precipitation amount.
6. The method of claim 5,
Wherein the basic data detected in step a) is detected at intervals of 10 seconds.

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