A method for measuring the weight of material trapped using a filter

Abstract

To measure weight of a collected substance, using a filter.SOLUTION: A method, which measures weight of a collected substance using a filter, includes the steps of: measuring weight of only a filter under a plurality of humidity conditions; calculating a regression line expression from the plurality of humidity conditions, and the weight of the only filter measured under the plurality of humidity conditions; calculating the weight of the only filter at specific humidity, using the regression line expression; measuring weight of a filter used in substance collection under the plurality of humidity conditions; calculating a regression line expression from the plurality of humidity conditions, and the weight of the filter measured under the plurality of humidity conditions, and used in the substance collection; calculating the weight of the filter used in the substance collection at the specific humidity, using the regression line expression; and calculating weight of the collected substance by subtracting the calculated weight of the only filter from the calculated weight of the filter used in the substance collection.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present invention relates to a method for measuring the weight of material trapped by a filter. [Background technology]

[0002] In solar power plants, if flying particles such as sand carried by the wind adhere to and accumulate on the surface of solar panels, there is a risk that the solar panels will not be able to generate sufficient power. Power generation can be restored by cleaning the solar panels, but it is difficult to determine the timing of cleaning. If it is possible to measure when and how much flying particles accumulate and use that data, it is possible to effectively clean the flying particles in one cleaning session. Therefore, there is a need to accurately measure the amount of accumulated flying particles.

[0003] When a filter is used to collect substances such as flying particles, the weight of the filter can be measured before and after collection, and the weight of the collected substances can be calculated by calculating the difference between the weights. However, with some filters, the weight of the filter also varies when the humidity at the time of measurement varies. Therefore, in order to accurately measure the weight of the substances collected by the filter, it is necessary to keep the humidity constant when measuring the weight of the filter before and after collection.

[0004] As an example of a substance measurement system, Patent Document 1 discloses a measurement system in which a work space in which a measuring device can be installed has its temperature and humidity controlled by a temperature and humidity control device. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Patent application No. 2015-559718 Summary of the Invention [Problem to be solved by the invention]

[0006] However, the technique disclosed in Patent Document 1 requires a temperature and humidity control device to keep the humidity constant, making the measurement system large-scale.

[0007] Therefore, the present invention has been made in consideration of the above circumstances, and an object of the present invention is to provide a method capable of easily measuring the weight of a substance captured using a filter. [Means for solving the problem]

[0008] In order to achieve the above object, a method for measuring a weight of a substance collected using a filter includes the steps of: measuring the weight of only the filter under a plurality of humidity conditions; calculating a regression line equation of humidity and the weight of only the filter from the plurality of humidity conditions and the weight of only the filter measured under the plurality of humidity conditions; substituting a specific humidity into the regression line equation of humidity and the weight of only the filter to calculate the weight of only the filter at the specific humidity; measuring the weight of the filter used to collect the substance under the plurality of humidity conditions; The present invention provides a method for measuring the weight of a substance collected using a filter, the method including the steps of: calculating a linear regression equation of humidity and the weight of the filter used to collect the substance from the measured weight of the filter used to collect the substance; calculating the weight of the filter used to collect the substance at the specific humidity by substituting the specific humidity into the linear regression equation of humidity and the weight of the filter used to collect the substance; and calculating the weight of the substance collected by subtracting the weight of the filter alone at the specific humidity from the weight of the filter used to collect the substance at the specific humidity.

[0009] According to this method, the weight of the substance trapped by the filter can be measured without using a dedicated device such as a temperature and humidity control device to keep the humidity constant. That is, according to the above method, the weight of the filter under a plurality of humidity conditions and the total weight of the filter and the trapped substance under a plurality of humidity conditions are measured, so that the weight of the substance trapped by the filter can be easily measured. Effect of the Invention

[0010] According to an embodiment of the present invention, the weight of material captured using a filter can be easily measured. [Brief description of the drawings]

[0011] [Figure 1] FIG. 2 is a cross-sectional view of the collection device 10. [Diagram 2] FIG. 1 is a block diagram of a measurement system 100. [Diagram 3] 4 is a flowchart of a measurement method using the measurement system 100. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] Hereinafter, the embodiments of the present invention will be described with reference to the drawings. The embodiments described below are subject to various technically preferable limitations for carrying out the present invention, and the scope of the present invention is not limited to the following embodiments and illustrated examples.

[0013] <Collection device> 1 is a cross-sectional view of a collection device 10 that collects a substance using a filter according to the present embodiment. The collection device 10 includes a main body 11, a funnel 12, gauze 13, and filter paper 14. The gauze 13 and filter paper 14 according to the present embodiment are examples of a "filter."

[0014] The main body 11 is a tubular member. The main body 11 is cylindrical (with a circular cross section). Both ends of the main body 11 are openings 41U and 41L. Here, the long axis direction of the main body 11 is the vertical direction, and the upper opening is 41U and the lower opening is 41L.

[0015] The funnel 12 is a cone-shaped member. The funnel 12 has a first opening 21, a second opening 22, a tapered portion 23, and a tube portion 24. The diameter of the second opening 22 is smaller than the diameter of the first opening 21. The tapered portion 23 corresponds to the inclined surface portion of the cone shape, and the inner diameter decreases from the first opening 21 at one end toward the other end. The tube portion 24 is a tubular member. One end of the tube portion 24 is connected to the small diameter end of the tapered portion 23. The other end of the tube portion 24 is the second opening 22.

[0016] The funnel 12 is attached to one end of the main body 11 by adhesive tape or adhesive. The funnel 12 closes the opening 41U at one end of the main body 11. In this state, the second opening 22 is disposed inside the main body 11.

[0017] The gauze 13 is a member for collecting substances. The gauze 13 is a soft, coarse, plain-woven cloth. The gauze 13 collects substances larger than the size of its mesh.

[0018] The gauze 13 is attached to the funnel 12. The gauze 13 covers the outer periphery of the tube portion 24 and the outside of the second opening 22. The gauze 13 is tied and fixed to the tube portion 24 from the outside with a thread 25.

[0019] The filter paper 14 is a member for collecting the substances that have passed through the gauze 13. The filter paper 14 is made of, for example, cotton fiber or glass fiber. The mesh of the filter paper 14 is finer than that of the gauze 13.

[0020] The filter paper 14 is placed on the upper surface of the filter paper holder 15. The filter paper holder 15 is a dish-shaped member. The size of the filter paper holder 15 is slightly smaller than the inner diameter of the main body 11. The filter paper 14 is expanded on the upper surface of the filter paper holder 15 to a size almost equal to the inner diameter of the main body 11.

[0021] The filter paper holder 15 has a plurality of holes 32 on its bottom surface. Substances may be taken into the collection device 10 together with liquids such as rainwater. In this case, the gauze 13 and the filter paper 14 separate the substances from the liquid and collect only the substances. The holes 32 drain the liquid that has permeated the filter paper 14 and prevent the liquid from accumulating on the bottom surface of the filter paper holder 15.

[0022] The filter paper 14 and the filter paper holder 15 are inserted from the opening 41L of the main body 11 in that order, the filter paper 14, then the filter paper holder 15. Then, the multiple wires 16 are passed through the inside of the main body 11. The multiple wires 16 pass through holes provided in the main body 11 (not shown) and are passed through the inside of the main body 11. The multiple wires 16 are stretched out in a lattice pattern in a cross section perpendicular to the longitudinal direction of the main body 11. By providing the multiple wires 16, the filter paper 14 and the filter paper holder 15 can be held inside the main body 11.

[0023] The collection device 10 is installed at a specific location for a period of time, such as one day, one week, or one month, that is determined in advance by the installer of the collection device 10, and collects materials that arrive at the specific location during that period. The specific location is, for example, an empty space adjacent to the installation space of solar panels installed within the site of a solar power plant.

[0024] The collector 10 takes in the naturally falling material from the first opening 21. Some of the material taken in from the first opening 21 reaches the second opening 22 directly. Meanwhile, some material may accumulate in the tapered portion 23. Such material is guided along the inclination of the tapered portion 23 to the tube portion 24 and the second opening 22. Of the material that reaches the gauze 13 attached to the second opening 22, material larger than the mesh size of the gauze 13 is collected by the gauze 13. Meanwhile, material smaller than the mesh size of the gauze 13 passes through the gauze 13 and is collected by the filter paper 14. After a predetermined collection period has elapsed, the collected material is recovered from the collector 10 together with the gauze 13 and the filter paper 14.

[0025] In this embodiment, the collection device 10 uses two different types of "filters", namely gauze 13 and filter paper 14. However, the collection device 10 may use only one type of "filter", such as only gauze 13 or only filter paper 14. The "filter" may be any material capable of collecting substances, and is not limited to gauze or filter paper. Furthermore, the collection device 10 is an example of a device to which the "filters", namely gauze 13 and filter paper 14, are attached, and the "filter" may be attached to a device other than the collection device 10 to collect substances.

[0026] <Measurement system configuration> A measurement system for measuring the weight of a substance trapped by a filter will be described. The measurement system 100 includes a measurement box 110, a computer 120, a monitor 130, and a storage 140. A block diagram of the measurement system 100 is shown in FIG.

[0027] (Measurement box) The measurement box 110 is a box that is at least partially transparent. A weight measuring device 111, a hygrometer 112, and a humidity regulator 113 are placed in the internal space of the measurement box 110. At least two work holes (not shown) are provided in the wall surface of the measurement box 110. The work holes are used when inserting a filter into the measurement box 110 or when an operator works in the internal space.

[0028] =Weighing device= The weight measuring device 111 is a device that measures the weight of an object. The weight measuring device 111 is, for example, a general digital scale. The weight measuring device 111 converts the weight of the object into numerical data and displays the numerical data. In this embodiment, the weight measuring device 111 is used to measure the weight of a filter before use (i.e., a filter before collecting substances) and a used filter (i.e., a filter that has collected substances).

[0029] =Hygrometer= The hygrometer 112 is a device that measures the humidity in the internal space of the measurement box 110. The hygrometer 112 measures the humidity, converts it into numerical data, and displays the numerical data.

[0030] = Humidity regulator = The humidity regulator 113 is a chemical that adjusts the humidity of the internal space of the measurement box 110. The humidity regulator 113 humidifies or dehumidifies the internal space of the measurement box 110, changing the humidity of the internal space. The humidity regulator 113 is, for example, a dehumidifier, a drying agent, or a humidifier. In this embodiment, the humidity regulator 113 is a dehumidifier.

[0031] (computer) The computer 120 is a small computer equipped with a CPU, RAM, ROM, GPU, a system bus, various interfaces, etc. The computer 120 is connected to a monitor 130 and a storage 140. The computer 120 reads a program stored in the storage 140 and executes the program. When the computer 120 executes a program stored in the storage 140, processing is performed according to the program.

[0032] In this embodiment, the computer 120 reads out and executes a program from the storage 140, thereby functioning as a memory means 121, a first regression line equation calculation means 122, a first predicted value calculation means 123, a second regression line equation calculation means 124, a second predicted value calculation means 125, and a weight calculation means 126.

[0033] The memory means 121 stores the specific humidity input to the computer 120, the measurement data Mp1-Mpn of the weight of the filter before use, and the measurement data Mq1-Mqn of the weight of the used filter in the RAM and the storage 140. Here, the specific humidity refers to an arbitrary humidity value.

[0034] The first regression line equation calculation means 122 calculates a regression line equation of humidity and the weight of the filter before use from a plurality of humidity conditions and the weight of the filter before use measured under each of the plurality of humidity conditions.

[0035] The first expected value calculation means 123 substitutes a specific humidity into the regression line equation of humidity and the weight of the filter before use, and calculates an expected value of the weight of the filter before use at the specific humidity.

[0036] The second regression line equation calculation means 124 calculates a regression line equation of humidity and the weight of the used filter from a plurality of humidity conditions and the weight of the used filter measured under each of the plurality of humidity conditions.

[0037] The second expected value calculation means 125 substitutes a specific humidity into the regression line equation of humidity and the weight of the used filter, and calculates an expected value of the weight of the used filter at the specific humidity.

[0038] The weight calculation means 126 calculates the weight of the material trapped by the filter by subtracting the predicted weight of the filter before use at a particular humidity from the predicted weight of the used filter at a particular humidity.

[0039] (Monitor) The monitor 130 is an image display device. The monitor 130 is connected to the computer 120. The monitor 130 displays numerical values ​​based on numerical data output from the computer 120 and the results of program processing.

[0040] (Storage) The storage 140 is a storage device to which data can be written and read. Programs that are readable and executable by the computer 120 are stored in the storage 140. The storage 140 is, for example, a semiconductor memory, a solid state drive, or a hard disk drive.

[0041] <Method of measuring the weight of particles captured using a filter> A method for measuring the weight of a substance collected using the gauze 13 and filter paper 14 (hereinafter referred to as "filter") of the collection device 10 using the measurement system 100 (hereinafter referred to as the measurement method) will be described. Figure 3 is a flow chart showing each step. The measurement method is composed of seven steps from S10 to S16.

[0042] (S10) S10 is a process of measuring the weight of the filter before use under multiple humidity conditions. Multiple humidity conditions refer to different humidity values. The humidity value indicated by the humidity condition of the first measurement is hp1, and the humidity value indicated by the humidity condition of the nth measurement is hpn. The weight of the filter changes depending on the humidity. Therefore, an arbitrary humidity value is defined as a specific humidity. In this embodiment, the specific humidity is 25% (humidity H).

[0043] In preparation for measurement, the filter before use and the inside of the measurement box 110 are dehumidified by the humidity regulator 113. First, the worker places the filter before use on the weight measuring device 111. Next, the worker places new humidity regulator 113 inside the measurement box 110. Then, the worker starts the hygrometer 112. The hygrometer 112 measures the humidity inside the measurement box 110 and displays the measured humidity value h.

[0044] The humidity regulator 113 disposed inside the measurement box 110 dehumidifies the inside of the measurement box 110. As a result, the humidity inside the measurement box 110 decreases. The humidity regulator 113 continues to dehumidify the inside of the measurement box 110 until it loses its humidity adjusting effect. When the humidity adjusting effect of the humidity regulator 113 disappears, the decrease in humidity inside the measurement box 110 stops. Since the measurement box 110 has gaps such as work holes, the humidity inside the measurement box 110 gradually increases.

[0045] The operator checks the value of humidity h displayed by the hygrometer 112. The operator then checks that the value of humidity h displayed by the hygrometer 112 gradually increases. This completes the preparation for measurement.

[0046] The worker measures the weight of the filter before the first use. First, the worker activates the weight measuring device 111. The weight measuring device 111 measures the weight Wp of the filter before use and displays the measured value of the weight Wp of the filter before use. The worker records the value of the humidity h displayed by the hygrometer 112 and the value of the weight Wp of the filter before use displayed by the weight measuring device 111 as the first measurement data Mp1 (humidity hp1, weight Wp1).

[0047] When an arbitrary time has passed since the first measurement, the humidity inside the measurement box 110 increases. In other words, the humidity inside the measurement box 110 changes by allowing an arbitrary time to pass after each measurement. The worker confirms that the value of the humidity h displayed by the hygrometer 112 has changed from the humidity hp1 in the first measurement. Then, the worker measures the weight of the filter before the second use. The method of the second measurement is the same as the method of the first measurement. Then, the worker records the value of the humidity h displayed by the hygrometer 112 and the weight Wp of the filter before use displayed by the weight measuring device 111 as the second measurement data Mp2 (humidity hp2, weight Wp2).

[0048] Thereafter, the worker measures the weight of the filter before use n times using the same method. In this manner, n pieces of measurement data Mp1 to Mpn are obtained. In this embodiment, the weight of the filter before use is measured five times. Therefore, five pieces of measurement data Mp1 to Mp5 are obtained. Note that, in measuring the weight of the filter before use, it is desirable that the humidities hp1 to hpn include both values ​​smaller and larger than the specific humidity H.

[0049] (S11) S11 is a step of calculating a regression line equation from the measurement data of humidity and the weight of the filter before use, i.e., the measurement data Mp1 to Mp5. The first regression line equation calculation means 122 calculates a regression line equation from the measurement data Mp1 to Mp5, with the weight of the filter before use being Wp, the humidity being hp, the slope being a, and the intercept being b. Here, the humidity in the nth measurement is called hpn, and the weight of the filter before use being Wpn. The least squares method is used to calculate the regression line equation. If the regression line equation is the following equation (1), the slope a and the intercept b are calculated using the following (2) and (3).

[0050]

number

[0051] In formula (2), S hpWp is the covariance of the humidity hp and the weight of the filter before use Wp, and S hp 2 is the variance of humidity hp. Here, equation (2) can be expressed as equation (4) below. Also, in equation (3), hp ave is the average humidity hp, Wp ave is the average weight Wp of the filter before use, and is calculated using equations (5) and (6), respectively.

[0052]

number

[0053] The operator operates the input device of the computer 120 to start a program stored in the storage 140 .

[0054] The computer 120 displays a measurement data input screen for the weight of the filter before use on the monitor 130, and urges the operator to input the measurement data. The storage means 121 acquires the measurement data Mp1 to Mp5 input by the operator operating an input device of the computer 120. The storage means 121 stores the measurement data Mp1 to Mp5 in the RAM and storage 140.

[0055] Next, the first regression line equation calculation means 122 reads the measurement data Mp1 to Mp5 from the RAM or storage 140. The first regression line equation calculation means 122 extracts the values ​​of humidity hp1 to hp5 from the measurement data Mp1 to Mp5. The first regression line equation calculation means 122 substitutes the extracted values ​​of humidity hp1 to hp5 into equation (5) to obtain hp ave Calculate.

[0056] The first regression line equation calculation means 122 also extracts values ​​of weights Wp1 to Wp5 of the filters before use from the measurement data Mp1 to Mp5. The first regression line equation calculation means 122 substitutes the extracted values ​​of weights Wp1 to Wp5 of the filters before use into equation (6) to obtain Wp ave Calculate.

[0057] Then, the first regression line calculation means 122 calculates the hp ave and Wp ave The first regression line equation calculation means 122 calculates the slope a and intercept b by substituting the extracted humidity values ​​hp1 to hp5 and the weights of the filters before use Wp1 to Wp5 into the equations (3) and (4). The first regression line equation calculation means 122 stores the calculated slope a and intercept b in the RAM or storage 140.

[0058] (S12) S12 is a step of substituting the specific humidity into the regression line calculated in S11 to calculate an expected value of the weight of the filter before use at the specific humidity.

[0059] The computer 120 displays a specific humidity setting screen on the monitor 130 and prompts the operator to input a specific humidity value. The storage means 121 acquires the value of humidity H input by the operator operating an input device of the computer 120. The storage means 121 stores the value of humidity H in the RAM and the storage 140.

[0060] The first expected value calculation means 123 substitutes the humidity H into the regression line equation in which the slope a and intercept b have been calculated, and calculates the expected value Wph of the weight of the filter before use at the humidity H. The first expected value calculation means 123 reads the values ​​of the slope a, intercept b, and humidity H from the RAM or storage 140. Next, the first expected value calculation means 123 substitutes the slope a and intercept b into equation (1). The first expected value calculation means 123 substitutes the value of the humidity H for "hp" in the regression line equation, and calculates the expected value Wph of the weight of the filter before use at the humidity H. The first expected value calculation means 123 stores the calculated expected value Wph of the weight of the filter before use in the RAM or storage 140.

[0061] Thereafter, the filter whose weight was measured in S10 is attached to the collection device 10, and the material is collected by the collection device 10. In this embodiment, the collection device 10 is attached to a stepladder installed in an open space adjacent to the solar panel. Then, one month after the collection device 10 is installed, the collection device 10 is collected.

[0062] (S13) S13 is a process of collecting used filters from the collection device 10 and measuring their weights under multiple humidity conditions. Multiple humidity conditions refer to different humidity values. The humidity value indicated by the humidity condition of the first measurement is hq1, and the humidity value indicated by the humidity condition of the nth measurement is hqn.

[0063] In preparation for the measurement, the used filter and the inside of the measurement box 110 are dehumidified by the humidity regulator 113. The preparation for the measurement is the same as that performed in S10, and therefore a description thereof will be omitted.

[0064] After completing preparations for measurement, the worker performs the first measurement of the weight of the used filter. First, the worker activates the weight measuring device 111. The weight measuring device 111 measures the weight Wq of the used filter and displays the measured value of the weight Wq of the used filter. The worker records the humidity h value displayed by the hygrometer 112 and the weight value Wq of the used filter displayed by the weight measuring device 111 as the first measurement data Mq1 (humidity hq1, weight Wq1).

[0065] When an arbitrary time has passed since the first measurement, the humidity inside the measurement box 110 increases. In other words, the humidity inside the measurement box 110 changes by allowing an arbitrary time to pass after each measurement. The worker confirms that the value of the humidity h displayed by the hygrometer 112 has changed from the humidity hq1 in the first measurement. Then, the worker measures the weight of the second used filter. The method of the second measurement is the same as the method of the first measurement. Then, the worker records the value of the humidity h displayed by the hygrometer 112 and the weight Wq of the used filter displayed by the weight measuring device 111 as the second measurement data Mq2 (humidity hq2, weight Wq2).

[0066] Thereafter, the worker measures the weight of the used filter n times using the same method. In this manner, n pieces of measurement data Mq1 to Mqn are obtained. In this embodiment, the weight of the used filter is measured 10 times. Therefore, 10 pieces of measurement data Mq1 to Mq10 are obtained. Note that, in measuring the weight of the used filter, it is desirable that the humidities hq1 to hqn include both values ​​smaller and larger than the specific humidity H.

[0067] (S14) S14 is a step of calculating a regression line equation from the measurement data of humidity and the weight of the used filter, i.e., the measurement data Mq1 to Mq10. The second regression line equation calculation means 124 calculates a regression line equation from the measurement data Mq1 to Mq10, with the weight of the used filter as Wq, the humidity as hq, the slope as α, and the intercept as β. Here, the humidity in the nth measurement is called hqn, and the weight of the used filter as Wqn. The least squares method is used to calculate the regression line equation. If the regression line equation is the following equation (7), the slope α and the intercept β are calculated by the following equations (8) and (9).

[0068]

number

[0069] In equation (8), S hqWq is the covariance of humidity hq and the weight of used filters Wq, and S hq 2 is the variance of humidity hq. Here, equation (8) can be expressed as equation (10) below. Also, in equation (9), hq ave is the average humidity hq, Wq ave is the average weight Wq of the used filters, and is calculated using equations (11) and (12), respectively.

[0070]

number

[0071] The operator operates the input device of the computer 120 to start a program stored in the storage 140 .

[0072] The computer 120 displays a measurement data input screen for the weight of the used filter on the monitor 130, and urges the worker to input the measurement data. The storage means 121 acquires the measurement data Mq1 to Mq10 input by the worker operating an input device of the computer 120. The storage means 121 stores the measurement data Mq1 to Mq10 in the RAM and the storage 140.

[0073] Next, the second regression line equation calculation means 124 reads the measurement data Mq1 to Mq10 from the RAM or storage 140. The second regression line equation calculation means 124 extracts the humidity values ​​hq1 to hq10 from the measurement data Mq1 to Mq10. The second regression line equation calculation means 124 substitutes the extracted humidity values ​​hq1 to hq10 into equation (11) to obtain hq ave Calculate.

[0074] The second regression line equation calculation means 124 extracts the values ​​of the weights Wq1 to Wq10 of the used filters from the measurement data Mq1 to Mq10. The second regression line equation calculation means 124 substitutes the extracted values ​​of the weights Wq1 to Wq10 of the used filters into the formula (12) to obtain Wq ave Calculate.

[0075] Then, the second regression line equation calculation means 124 calculates the hq ave and Wq ave The second regression line equation calculation means 124 calculates the slope α and intercept β by substituting the extracted humidity values ​​hq1 to hq10 and the weights Wq1 to Wq10 of the used filters into the equations (9) and (10). The second regression line equation calculation means 124 stores the calculated slope α and intercept β in the RAM or storage 140.

[0076] (S15) S15 is a step of substituting the specific humidity into the regression line calculated in S14 to calculate an expected value of the weight of the used filter at the specific humidity.

[0077] The second predicted value calculation means 125 substitutes the humidity H into the regression line equation in which the slope α and intercept β have been calculated, and calculates the predicted value Wqh of the weight of the used filter at the humidity H. The second predicted value calculation means 125 reads the values ​​of the slope α, intercept β, and humidity H from the RAM or storage 140. Next, the second predicted value calculation means 125 substitutes the slope α and intercept β into equation (7). The second predicted value calculation means 125 substitutes the value of the humidity H for "hq" in the regression line equation, and calculates the predicted value Wqh of the weight of the used filter at the humidity H. The second predicted value calculation means 125 stores the calculated predicted value Wqh of the weight of the used filter in the RAM or storage 140.

[0078] (S16) S16 is a step of calculating the weight We of the material trapped by the filter by subtracting the predicted weight Wph of the filter before use at the specific humidity calculated in S12 (i.e., the weight of the filter alone) from the predicted weight Wqh of the used filter at the specific humidity calculated in S15.

[0079] The weight calculation means 126 calculates the weight We of the substance by subtracting the estimated value Wph of the weight of the filter before use from the estimated value Wqh of the weight of the used filter. The weight calculation means 126 reads the estimated value Wph of the weight of the filter before use at humidity H calculated in S12 and the estimated value Wqh of the weight of the used filter at humidity H calculated in S15 from the RAM or storage 140. The weight calculation means 126 subtracts the estimated value Wph of the weight of the filter before use at humidity H from the estimated value Wqh of the weight of the used filter at humidity H to calculate the weight We of the substance. The weight calculation means 126 stores the calculated weight We of the substance in the storage 140. The weight calculation means 126 displays the calculated weight We of the substance on the monitor 130.

[0080] <Effects> A method for measuring a weight of a substance collected using a filter, comprising the steps of: measuring the weight of the filter alone under a plurality of humidity conditions; calculating a regression line equation of humidity and the weight of the filter alone from the plurality of humidity conditions and the weight of the filter alone measured under the plurality of humidity conditions; substituting a specific humidity into the regression line equation of humidity and the weight of the filter alone to calculate the weight of the filter alone at the specific humidity; measuring the weight of the filter used to collect the substance under the plurality of humidity conditions; The present invention discloses a method for measuring the weight of a substance collected using a filter, the method comprising the steps of: calculating a linear regression equation of humidity and the weight of the filter used to collect the substance from the weight of the filter used to collect the substance; calculating the weight of the filter used to collect the substance at the specific humidity by substituting the specific humidity into the linear regression equation of humidity and the weight of the filter used to collect the substance; and calculating the weight of the substance collected by subtracting the weight of the filter alone at the specific humidity from the weight of the filter used to collect the substance at the specific humidity.

[0081] According to this method, the weight of the substance trapped by the filter can be measured without using a dedicated device such as a temperature and humidity control device to keep the humidity constant. That is, according to the above method, the weight of the substance trapped by the filter can be easily measured.

[0082] In addition, the method of measuring the weight of a substance in this embodiment is a method of using a measurement box 110 having a weight measuring device 111, a humidity regulator 113, and a hygrometer 112 therein, and measuring the weight of a substance collected using a filter, wherein the humidity regulator 113 adjusts the humidity inside the measurement box 110 to a humidity based on multiple humidity conditions, the hygrometer 112 measures the humidity inside the measurement box 110 for each of the multiple humidity conditions, the weight measuring device 111 measures the weight of the filter only when the measured humidity inside the measurement box 110 matches the multiple humidity conditions, the humidity regulator 113 adjusts the humidity inside the measurement box 110 to a humidity based on the multiple humidity conditions, the hygrometer 112 measures the humidity inside the measurement box 110 for each of the multiple humidity conditions, and the weight measuring device 111 measures the weight of the filter used to collect the substance when the measured humidity inside the measurement box 110 matches the multiple humidity conditions.

[0083] According to the above method, a weight measuring device 111, a hygrometer 112, and a humidity regulator 113 are placed inside the measurement box 110. Since the inside and outside of the measurement box 110 are separated by the measurement box 110, the humidity adjustment effect of the humidity regulator 113 is limited to the inside of the measurement box 110. Therefore, the humidity adjustment inside the measurement box 110 by the humidity regulator 113 is completed quickly. Accordingly, the measurement of the weight of the substance captured using the filter is completed quickly. <Modification> The modifications described below may be applied in combination.

[0084] (1) Variation 1 The humidity adjusting agent 113 may be a humidifier. In this case, when an operator places the humidity adjusting agent 113 inside the measurement box 110 in preparation for measurement, the inside of the measurement box 110 is humidified. Then, when the humidity adjusting effect of the humidity adjusting agent 113 is lost, the increase in humidity inside the measurement box 110 stops. Since the inside of the measurement box 110 has gaps such as working holes, the humidity inside the measurement box 110 gradually decreases. [Explanation of symbols]

[0085] 13…Gauze (filter) 14…Filter paper 110…Measuring box 111…Weight measuring device 112…Hygrometer 113...Humidity regulator

Claims

1. A method for measuring the weight of a substance captured using a filter, comprising the steps of: measuring the weight of the filter alone under a plurality of humidity conditions; calculating a regression line equation of humidity and the weight of only the filter from the plurality of humidity conditions and the weight of only the filter measured under the plurality of humidity conditions; Substituting a specific humidity into a regression line of the humidity and the weight of the filter alone to calculate the weight of the filter alone at the specific humidity; measuring the weight of the filter used to collect the substance under the multiple humidity conditions; calculating a regression line equation of humidity and the weight of the filter used to capture the substance from the plurality of humidity conditions and the weight of the filter used to capture the substance measured under the plurality of humidity conditions; A step of calculating the weight of the filter used to capture the substance at the specific humidity by substituting the specific humidity into a regression line equation of the humidity and the weight of the filter used to capture the substance; calculating a weight of the collected material by subtracting a weight of the filter alone at the specific humidity from a weight of the filter used to collect the material at the specific humidity; A method for measuring the weight of a substance collected using a filter comprising:

2. A method for measuring the weight of a substance collected using a filter by using a measuring box having a weight measuring device, a humidity adjusting agent, and a hygrometer therein, the method comprising the steps of: The humidity adjusting agent adjusts the humidity inside the measurement box to a humidity based on the plurality of humidity conditions, The hygrometer measures the humidity inside the measurement box for each of the plurality of humidity conditions, the weight measuring device measures the weight of only the filter when the measured humidity inside the measurement box coincides with the plurality of humidity conditions; The humidity adjusting agent adjusts the humidity inside the measurement box to a humidity based on the plurality of humidity conditions, The hygrometer measures the humidity inside the measurement box for each of the plurality of humidity conditions, the weight measuring device measures the weight of the filter used to collect the substance when the measured humidity inside the measurement box coincides with the plurality of humidity conditions. A method for measuring the weight of material trapped by the filter of claim 1.

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