JP4575990B1 - Moisture fluctuation estimation method and moisture fluctuation estimation system for warehouse-stored rice - Google Patents

Abstract

Provided is a method for estimating moisture fluctuation in warehouse-stored rice, which can estimate and further predict moisture fluctuation of warehouse-stored rice over a long period of time.
A warehouse 1 having a built-in temperature and humidity meter 2 is divided into a plurality of appropriate management sections A1 to Ax that can be regarded as having substantially the same temperature and humidity change behavior. Stores warehouse-stored rice in a specific package, which is the management target samples R1 to Rx in which the moisture mo is measured, and installs the initial mass Wo and the index sample 3 in which the initial moisture Mo is measured and put in the net basket 4 in the management section Then, the equilibrium moisture me of the index sample 3 at an arbitrary measurement time point t after the warehousing is obtained, a diffusion coefficient κx indicating the moisture diffusion ratio of the index sample 3 is obtained in advance, and each measurement time point t1, t2, ... each moisture mt1, mt2, ... mtx of the sample to be managed at tx is sequentially estimated and calculated.
[Selection] Figure 1

Description

  The present invention relates to a moisture fluctuation estimation method and a moisture fluctuation estimation system for warehouse-stored rice that can estimate and further predict moisture fluctuation of warehouse-stored rice over a long period of time with less labor.

  Conventionally, in warehouse storage of rice, management of moisture change of rice has been regarded as important in order to maintain the quality of stored rice. If drying progresses during storage, it becomes a concern of “overdrying”, and if exposed to moisture, there is a concern of “excessive water”.

  When the above-mentioned `` over-drying '' occurs, the brown rice has higher crushing / fracture stiffness, and as a result, it hardens, and the yield rate is reduced by refined processing. It may be reduced.

  If the “excessive water” becomes excessive, mold may be generated. In such a case, it is no longer suitable for edible use, and the “commercial value” is significantly impaired.

  It is not possible with current general technology to improve the quality of goods (storage property, processing yield, taste, etc.) during storage during storage of rice.

  Thus, the purpose of rice storage is simply to focus on how to maintain the “quality of goods” of the incoming rice during storage.

As a necessary technology for storage of warehouse rice,
(1) Temperature and humidity management in the warehouse,
(2) Stirring / circulation of air in the cabinet,
(3) Rearrangement of stored rice in the warehouse,
(4) Schedule for loading and unloading to prevent overloading,
(5) Quality inspection at entry / exit (preventing entry / exit of contaminated rice),
(6) Water leakage prevention and emergency response in the event of an accident,
(7) Monitoring of storage environment and monitoring of moisture change in stored rice
Etc.

Both of these techniques described above result in managing the moisture of stored rice.
If it is a low-temperature warehouse, temperature and humidity can be controlled from spring to summer, which is controlled by air conditioners, but the air conditioners are stopped in winter.

  Even within the same warehouse, depending on the loading, the temperature and humidity varies slightly from storage section to storage section, and it is difficult to manage the temperature and humidity unless it is a low-temperature warehouse, ice room, or dry depot.

  The moisture of stored rice can be measured in a batch system by a moisture meter or a drying method. However, the greater the amount of stored rice, the greater the variation in temperature and humidity in the cabinet, and the greater the measurement effort.

  Moreover, the variation process of moisture fluctuation of stored rice varies depending on the storage section, depending on the packaging of paper bags, resin bags, flexible containers, etc., and also the attachment (stacking method), etc. even in the same internal environment.

  As a method for measuring moisture directly from stored rice, the moisture measurement of the stored rice at that moment can be performed by using a moisture meter of an infrared type or a high-frequency resistance type or resistance type.

  However, with this method alone, just knowing the moisture at the time of measurement of the object to be measured, it is estimated how the moisture of the stored rice will change with respect to the temperature and humidity conditions of the environment that varies or differs for each storage section. It is not possible.

  In other words, by simply measuring the moisture, the temperature and humidity changes in the internal environment, or the moisture fluctuation that is “asymptotically approaching stable moisture (= the reached moisture at this time is called“ equilibrium moisture ”) for an arbitrary time It is difficult to estimate the water change for each.

Several model formulas for obtaining "equilibrium moisture" have been published, but the values are different from each other, and the rate of change of moisture depending on the package is not taken into consideration.
For this reason, it is difficult to obtain specific work guidelines when the packaging changes or when the temperature and humidity of the storage environment change in a short period of time.

  If the temperature and humidity in the chamber is uniform and there is sufficient air convection, the "equilibrium moisture" after a sufficiently long time can be approximated from the previous model equation by measuring the temperature and humidity accurately. It is possible to predict.

  However, in general warehouses, it is difficult to manage the entire chamber so that it can be controlled to a uniform temperature and humidity, and it is usually short-term rather than maintaining long-term stability as the temperature and humidity in the chamber invites to “equilibrium moisture”. Tend to fluctuate. In other words, it was difficult to predict the moisture fluctuation process of stored rice under the prior art.

  Therefore, the moisture management of stored rice is based on the extraction inspection at the time of entering / exiting, measuring the average moisture, and periodically measuring the moisture of samples in a predetermined compartment during storage at that time. It was common to capture the average moisture.

  As a technique related to rice warehouse storage, for example, Patent Document 1 discloses a dehumidifying means for dehumidifying a warehouse and humidifying the warehouse in an agricultural product storage warehouse that supplies cold air to the warehouse where agricultural products are to be stored. And a humidifying means for predicting a difference between the target internal humidity and the internal humidity based on the weight fluctuation speed of the stored agricultural product, and instructing the humidifying means or the dehumidifying means to operate the internal control means to eliminate the difference. In addition, the temperature of the air to be conditioned by the humidifying means and the dehumidifying means is adjusted to be supplied to the preset internal temperature, and the weight fluctuation speed is monitored by the weight measuring means provided in the internal Predicts the difference between the target ideal humidity and the current humidity, and in order to eliminate this difference, the agricultural product storage warehouse is configured to operate the humidifying and dehumidifying means. Key Control devices have been proposed.

  However, in the case of Patent Document 1, it is mainly intended to prevent overdrying of agricultural products and excessive water content, and does not include a technique for estimating or predicting water fluctuation over a long period of stored rice in a warehouse. .

JP-A-11-146724

  The problem to be solved by the present invention is that there is no method for estimating moisture fluctuation of warehouse-stored rice that can estimate or predict moisture fluctuation of warehouse-stored rice over a long period of time with less labor.

The method for estimating moisture fluctuation of warehouse-stored rice according to the present invention divides the inside of a warehouse with a built-in temperature and humidity meter into a plurality of appropriate management sections that can be considered to have almost the same temperature and humidity change behavior, and enters each management section. Store the rice stored in the warehouse in a specific package, which is the sample to be managed, whose moisture mo is measured at the time,
In the control section equipped with a thermo-hygrometer, the initial mass Wo and the indicator sample in which the initial moisture Mo is measured and put in the net basket are installed, the temperature and humidity of the indicator sample are measured, and the indicator sample is stored after 24 hours , Measure the moisture at each measurement time point t1, t2,... Tx whose time interval is longer than 24 hours, store the moisture me1, me2,... Mex as storage history information,
Based on the initial mass Wo of the index sample, the initial moisture Mo, and the mass Wt weighed at a specific measurement time after 24 hours from warehousing, the moisture Mt at the measurement time of the index sample is obtained by the calculation of Equation 1. The water is regarded as the equilibrium water me,
As preliminary tests, the moisture mo at the time of storage of the sample to be managed, the equilibrium moisture me of the index sample, the time data at an arbitrary measurement time t after 24 hours from the storage, and the moisture mt at the measurement time t of the index sample Based on the above, the diffusion coefficient κx is obtained by the calculation of Equation 2,
Moisture mo at the time of warehousing of the sample to be managed, time data of each measurement time t1, t2,... Tx of the index sample after warehousing recorded as storage history information and each moisture me1, me2,. Based on mex and the diffusion coefficient κx, execute the calculation according to Equation 3,
The most important feature is that each moisture mt1, mt2,... Mtx of the sample to be managed at each measurement time point t1, t2,.

According to the first aspect of the present invention, the inside of the warehouse is divided into a plurality of appropriate management sections that can be regarded as having almost the same temperature and humidity change behavior, and the moisture (mo) at the time of storage is measured in each management section. Warehousing rice in a specific packing state that is a sample to be managed is stored and stored under the condition that the initial mass (Wo) and the initial moisture (Mo) in the control section are measured and the indicator sample is placed in a net basket. Provide less labor: 24 hours after the measurement, moisture measurement of the index sample at any time point where the time interval is longer than 24 hours, and mass measurement of the index sample at a specific measurement time after 24 hours from warehousing. By performing the sequential calculation according to Equation 1, Equation 2, and Equation 3, a moisture fluctuation estimation method for warehouse-stored rice that can estimate or predict moisture fluctuation of warehouse-stored rice over a long period of time is realized and provided. be able to.

According to the second aspect of the invention, in addition to the same effects as the first aspect of the invention, the index sample is opened in a bag that does not absorb and release moisture, and has a dustproof function. Since it is installed in the control section in a state of being stored in a stainless steel net cage, moisture at the time of measurement after warehousing of the index sample, moisture in the warehouse storage rice that can improve the accuracy of the measurement data of the mass A fluctuation estimation method can be realized and provided.

According to the invention described in claim 3 , the warehouse is divided into a plurality of appropriate management sections that can be considered to have almost the same temperature and humidity change behavior, and moisture (mo) at the time of storage is measured in each management section. Warehousing rice in a specific packing state that is a sample to be managed is stored and stored under the condition that the initial mass (Wo) and the initial moisture (Mo) in the control section are measured and the indicator sample is placed in a net basket. Provide less labor: 24 hours after the measurement, moisture measurement of the index sample at any time point where the time interval is longer than 24 hours, and mass measurement of the index sample at a specific measurement time after 24 hours from warehousing. Thus, the sequential calculation according to Equation 1, Equation 2, and Equation 3 is executed by the computer for estimating moisture fluctuation , whereby the moisture fluctuation estimation of warehouse-stored rice that can estimate or predict the moisture fluctuation of warehouse-stored rice over a long period of time can be performed. Real system And it is possible to provide.

According to the invention described in claim 4 , in addition to the same effects as those of the invention described in claim 3 , the index sample is opened in a bag that does not absorb and release moisture and has a dustproof function. Since it is installed in the control section in a state of being stored in a stainless steel net cage, moisture at the time of measurement after warehousing of the index sample, moisture in the warehouse storage rice that can improve the accuracy of the measurement data of the mass A fluctuation estimation system can be realized and provided.

FIG. 1 is a schematic view showing a storage state of stored rice in a warehouse of a moisture fluctuation system for stored rice in a warehouse according to an embodiment of the present invention. FIG. 2 is a diagram schematically showing an example of the air flow during the outside temperature rise period of the warehouse in the moisture fluctuation system according to the present embodiment. FIG. 3 is a schematic perspective view of a net basket in the moisture fluctuation system according to the present embodiment. FIG. 4 is a block diagram showing a schematic configuration of a moisture fluctuation estimation computer in the moisture fluctuation system according to the present embodiment. FIG. 5 is a diagram showing the relationship between the (temporary name) Bergman index and the inflection point of the drying curve for the index sample of three modes in the moisture fluctuation system according to this example. FIG. 6 is a diagram showing a moisture changing process when the indicator samples of four modes in the moisture fluctuation system according to the present example are arranged in a stainless steel monkey. FIG. 7 is a diagram showing a state in which brown rice samples and polished rice in the moisture fluctuation system according to the present example are arranged in a stainless monkey.

The present invention has a built-in thermo-hygrometer for the purpose of realizing and providing a moisture fluctuation estimation method for warehouse-stored rice that can estimate and further predict moisture fluctuation of warehouse-stored rice over a long period of time with less labor. The storage area is divided into appropriate control sections that can be considered to have almost the same temperature and humidity change behavior, and warehouse storage of a specific package that is a management target sample in which the moisture mo at the time of storage is measured in each control section About the indicator sample, the rice is stored, the initial mass Wo and the indicator sample in which the initial moisture Mo is measured and put in the net basket are measured in the control section equipped with the temperature and humidity meter, and the temperature and humidity of the indicator sample are measured. After 24 hours from warehousing, moisture is measured at any measurement time point t1, t2,... Tx whose time interval is longer than 24 hours, and the moisture me1, me2,. The initial of the indicator sample Based on the amount Wo, the initial moisture Mo, and the mass Wt weighed at a specific measurement time after 24 hours from warehousing, the moisture Mt at the measurement time of the index sample is obtained by the calculation of Equation 1, and the moisture Is regarded as the equilibrium moisture me,
Based on the moisture mo at the time of storage of the sample to be managed, the equilibrium moisture me of the index sample, the time data at any measurement time t after 24 hours from the storage, and the moisture mt at the measurement time t of the index sample, The diffusion coefficient κx is obtained by the calculation of Equation 2,
Moisture mo at the time of warehousing of the sample to be managed, time data of each measurement time t1, t2,... Tx of the index sample after warehousing recorded as storage history information and each moisture me1, me2,. Based on mex and diffusion coefficient κx, the calculation according to Equation 3 is executed, and the respective moisture mt1, mt2,... Mtx of the sample to be managed at each measurement time t1, t2,. This was realized by a configuration for estimation calculation.

  Hereinafter, the moisture fluctuation estimation method and moisture fluctuation estimation system for warehouse-stored rice according to embodiments of the present invention will be described in detail.

  First, a system configuration of a moisture fluctuation estimation system for warehouse-stored rice according to an embodiment of the present invention will be described with reference to FIGS. 1 to 6.

  As shown in FIG. 1, a moisture fluctuation estimation system for warehouse-stored rice according to an embodiment of the present invention has a warehouse 1 with a built-in thermohygrometer 2. Identified as the management target samples that have been measured for the moisture mo at the time of storage in each of the management sections A1, A2,... Ax, divided into appropriate management sections A1, A2,. Warehouse storage rice R1, R2,... Rx in a packed form (for example, 30 kg of brown rice in a paper bag) is individually installed and stored.

The thermohygrometer 2 is disposed in each of the management sections A1, A2,.
In the warehouse 1, a dehumidifying means for dehumidifying the warehouse 1 and a humidifying means for humidifying the warehouse 1 are provided, but they are not shown.

  FIG. 2 schematically shows an example of an air flow in the warehouse 1 during an outside air temperature rise period.

  As shown in FIG. 2, in each of the management sections A1, A2,.

In addition, in the area of each warehouse storage rice R1, R2,... Rx in each management section A1, A2,... Ax, as shown by the dotted line, the airflow convects very gently as in the silo. .
On the other hand, in the outer area of each of the management sections A1, A2,... Ax in the warehouse 1, as shown by the solid line, convection occurs so that the airflow rises and falls, warm air is accumulated on the upper side, and the bottom side Becomes cold and humid.

  As shown in FIG. 3, the moisture fluctuation estimation system for warehouse-stored rice according to the present embodiment is one in which the initial moisture of the index sample 3 (for example, the brown rice sample 3a or the polished rice sample 3b) is known and the initial mass is measured. Is installed in any one of the management sections A1, A2,... Ax in the warehouse 1 while the index sample 3 is stored in the mesh basket 4. To do.

  The index sample 3 has an initial mass Wo (> 100 g or more) and an initial moisture Mo (> 13% or more) measured before warehousing.

  In addition, as the index sample 3, a rice flour sample which is sealed in an aluminum-deposited bag with a fastener to prevent alteration and stored in a stainless steel basket 4 is used.

  In this case, in the present embodiment, the net basket 4 is provided with a dustproof function, and the bag containing rice flour is made of a glass filter that does not absorb and release moisture.

  Rice flour has the same equilibrium moisture (details will be described later) as the sample to be controlled, and has an asymptotic speed to the equilibrium moisture, which can be regarded as substantially equilibrium in about one day. It is known that a strict equilibrium is reached in ~ 3 days.

In addition, the moisture fluctuation estimation system for warehouse-stored rice according to the present embodiment needs to obtain a diffusion coefficient κx specific to the sample to be managed in advance. For this reason, for example, a BL-2200H type electronic scale manufactured by Shimadzu Corporation, a plastic weighing container, a rotary dryer for heating and drying method, and a temperature / humidity meter built in by Espec Co., Ltd.
Use a PL-2KP environmental tester.

  FIG. 4 is a block diagram showing the moisture fluctuation estimation computer 11 in the moisture fluctuation estimation system for warehouse-stored rice according to the present embodiment.

  The moisture fluctuation estimation computer 11 includes a program memory 12 that stores an operation program including mathematical data of Formulas 1 to 3 described later, a control unit 13 that controls each element based on the operation program, and data for a sample to be managed. File 14, index sample data file 15, calculation unit 16 that executes each calculation based on the following formulas 1 to 3, calculation result data storage unit 17 that stores the calculation results, and display such as a liquid crystal display A unit 18, an input unit 19 such as a keyboard, and a printer 20 that prints out various data are provided.

  Next, referring to FIG. 5, an index sample corresponding to the packing state of warehouse storage rice R1, R2,... Rx which are samples to be managed in the moisture fluctuation estimation system for warehouse storage rice according to the present embodiment. The relationship between the Bergman index and the inflection point of the drying curve for 3 (tentative name, the same applies hereinafter) will be described.

  The horizontal axis in FIG. 5 represents the Bergman index, and the vertical axis represents the inflection point. In this example, the Bergman index represents the surface area when the sample aggregate (lumb) is regarded as a sphere. It is defined as the index divided by the volume.

  This Bergmann index is derived from Bergmann's law, published in 1847 by the biological evolution scholar Carl Bergmann. It is based on the theory that “the larger the species, the larger species live in the colder regions”. This arises from the relationship between body weight and body surface area in relation to maintaining animal body temperature.

  The inflection point indicates the elapsed time until the point at which the curvature of the moisture change curve has suddenly changed to such an extent that it can be visually discerned. It is known that the longer the distance of the curve, the longer it takes to reach equilibrium moisture. It has been.

  FIG. 5 shows (a) a line of powder for the test stainless steel colander 5 shown in FIG. 7, (b) a line of particles for the stainless colander 5 shown in FIG. The inflection points measured for each of the three index samples 3 with a cage are shown.

  Here, the index sample 3 of (a) is obtained by pulverizing the grain and placing the powder passed through a 60 mesh net on the stainless monkey 5, and the index sample 3 of (b) is the case of (a). Similarly, the grains are arranged so as not to overlap each other on the sterle monkey 5, (c) is the one in which the grains are packed in a gauze in a spherical net cage, and (a) → (b) → (c ), The arrangement density of the space increases.

  In addition, in FIG. 7, the state which mounted | wore the two stainless steel monkeys 5 for a test with the brown rice sample of a line of grains and the polished rice sample of a line of grains each mounted is shown.

  FIG. 6 shows an example of the moisture changing process when the index sample 3 in four modes is arranged in a line in the stainless monkey 5.

In FIG. 6, A ₂ is obtained by crushing brown rice “Hinohikari” to which moisture has been humidified to 18.9%, B ₂ is obtained by crushing brown rice “Hitomebore” and humidified to 22.3%, C ₂ Represents the change curves of brown rice “Hinohikari” crushed and dried to 7.9%, and D ₂ crushed brown rice “Hitomebore” and dried to 7.8%.

  From FIG. 6, it is understood that each index sample 3 has an inflection point about 50 hours after warehousing, and the rate of change thereafter is small.

  Next, a moisture fluctuation estimation method using each system element of the moisture fluctuation estimation system for warehouse-stored rice as described above according to the present embodiment will be described.

(Assumption)
(1) It is assumed that the temperature in the warehouse and the storage sample to be managed are kept constant at 15 ° C. during storage.
(2) The humidity of the storage environment can be accurately measured by the thermohygrometer 2 at a necessary time interval.
(3) The “index sample” of the powder is a device in which the contents are not dissipated during storage, and the initial moisture (Mo> 13% or more) and the initial weight (Wo> 100 g or more) are measured in advance. It is recorded in the index sample data file 15.
(4) It is assumed that the index sample is placed in a suitable place in the warehouse 1 in a stainless steel net cage whose mass has been measured. This stainless steel basket does not change its mass during storage due to measures such as dust prevention.
(5) The storage environment history for the sample to be managed has a humidity change record (h1, h2,..., Hx) for each time (t1, t2,..., Tx) after 24 hours after warehousing. Each time interval is longer than 24 hours, and there is data (me1, me2,..., Mex) of “moisture of the index sample” at each time (t1, t2,..., Tx), This is recorded in the index sample data file 15 together with time (t1, t2,..., Tx) data.
(6) Moisture mo at the time of warehousing of one lot that can be regarded as the same base material of the management target sample and the mass wo including the tare at that time are measured in advance and recorded in the management target sample data file 14 To do.

(Moisture fluctuation estimation process)
(7) First, the tare weight of the index sample is precisely weighed using the electronic scale, and the sample mass (Wt) is obtained by removing the tare mass previously examined, and the index sample data file 15 To record.

(8) Next, based on the initial mass Wo of the index sample, the initial moisture Mo, and the mass Wt at a specific measurement time after 24 hours from warehousing, the index is calculated by the following equation 1 by the calculation unit 16. The moisture Mt at the time of measurement of the sample is obtained, and the moisture is regarded as the equilibrium moisture me and recorded in the index sample data file 15.

  It is known that the index sample reaches almost “equilibrium moisture” if it is left for 24 hours under a constant temperature and humidity environment if the ventilation is sufficient. Therefore, the value of the moisture Mt after 24 hours is regarded as Me (= “equilibrium moisture”).

(9) Next, as the first stage of the preliminary test, the initial moisture and the initial tare mass are measured under the ventilation condition under the specified temperature and humidity environment using the environmental test device. The change in moisture after 100 hours to 200 hours after paper bag containing brown rice 30 kg, etc.) is suppressed, the moisture mo at the time of storage of the sample to be managed, the equilibrium moisture me of the index sample, and any 24 hours after the index sample is received Based on the moisture value mt at the measurement time point t and the time data at the measurement time point t, the diffusion coefficient κ of the approximate model equation is obtained by calculating the exponential function of the following formula 2A by the calculation unit 16.

(10) Next, as a second stage of the preliminary test, a test similar to (9) above is performed in a no-air or light wind environment, the calculation unit 16 performs the calculation of Equation 2 below, and the diffusion coefficient κx Ask for.

(11) Next, moisture mo at the time of warehousing of the sample to be managed, time data of each measurement time t1, t2,... Tx of the index sample after warehousing recorded as storage history information and each moisture at that time Based on me1, me2,... mex and the diffusion coefficient κx, the calculation unit 16 performs the calculation according to the following equation (3), and the management target sample at each measurement time t1, t2,. Each moisture mt1, mt2,... Mtx is estimated sequentially.

  The values of mt1, mt2,..., Mtx obtained by the above equation 3 are the moisture values estimated sequentially for the sample to be managed at time t1, time t2, time tx.

  According to the moisture fluctuation estimation system and moisture fluctuation estimation method for warehouse-stored rice according to the present embodiment described above, the following effects can be obtained.

  That is, warehouse storage rice R1, R2,... In a specific packing form (for example, 30 kg of brown rice in a paper bag), which is a management target sample whose moisture mo at the time of storage is measured in each management section A1, A2,. ... Rx is stored, and after storage, under the condition that the initial mass Wo and the index sample 3 in which the initial moisture Mo is measured and placed in the net basket 4 are installed in the control sections A1, A2,. After 24 hours, the moisture measurement of the index sample 3 at any measurement time point whose time interval is longer than 24 hours, and the mass measurement of the index sample 3 at a specific measurement time point after 24 hours from warehousing is less labor By the provision, the calculation according to the equations 1, 2, and 3 is executed by the computer 11 for estimating the moisture fluctuation, whereby the moisture fluctuation estimating method capable of successively estimating or predicting the moisture fluctuation over a long period of time in the warehouse storage rice. And It can be provided to achieve moisture variation estimation system.

  Further, according to the moisture fluctuation estimation system and the moisture fluctuation estimation method for warehouse-stored rice according to the present embodiment, the warehouse storage rice for each of the management sections A1, A2,. Predict moisture fluctuation process, set temperature / humidity management target value as needed, and realize moisture fluctuation prediction for each loading position and storage position of warehouse storage rice of specific packing shape which is the management target sample it can.

  Furthermore, according to the moisture fluctuation estimation system and the moisture fluctuation estimation method for warehouse-stored rice according to the present embodiment, the warehouse-stored rice can be maintained at the management target moisture or the moisture fluctuation can be predicted. It is possible to prevent the quality deterioration of rice and maintain the quality of the rice stored in the warehouse for a long time.

  According to the moisture fluctuation estimation system and moisture fluctuation estimation method for warehouse-stored rice according to the above-described embodiment, the labor cost related to the worker is reduced compared with the conventional management of stored rice by batch measurement, and the management range is expanded. Opening the way to automatic control, the stored rice can be controlled to become the target controlled moisture, which can greatly contribute to quality maintenance.

  The present invention can be widely applied as a moisture fluctuation estimation system at the time of warehouse storage for various grains other than rice such as wheat and beans, as well as the moisture fluctuation estimation system for warehouse rice described above.

DESCRIPTION OF SYMBOLS 1 Warehouse 2 Thermo-humidity meter 3 Index sample 4 Net basket 5 Stainless steel monkey 11 Moisture fluctuation estimation computer 12 Program memory 13 Control unit 14 Data file for sample to be managed 15 Data file for index sample 16 Calculation unit 17 Calculation result data storage unit 18 Display unit 19 Input unit 20 Printer A1 Management section A2 Management section Ax Management section R1 Warehouse storage rice R2 Warehouse storage rice Rx Warehouse storage rice

Claims (4)

Divide the warehouse with built-in thermo-hygrometer into multiple appropriate management zones that can be considered to have almost the same change in temperature and humidity, and specify the samples to be managed whose moisture mo at the time of storage is measured in each management zone Store the warehouse storage rice in the package,
In the control section equipped with a thermo-hygrometer, the initial mass Wo and the indicator sample in which the initial moisture Mo is measured and put in the net basket are installed, the temperature and humidity of the indicator sample are measured, and the indicator sample is stored after 24 hours , Measure the moisture at each measurement time point t1, t2,... Tx whose time interval is longer than 24 hours, store the moisture me1, me2,... Mex as storage history information,
Based on the initial mass Wo of the index sample, the initial moisture Mo, and the mass Wt weighed at a specific measurement time after 24 hours from warehousing, the moisture Mt at the measurement time of the index sample is obtained by the calculation of Equation 1. The water is regarded as the equilibrium water me,
As preliminary tests, the moisture mo at the time of storage of the sample to be managed, the equilibrium moisture me of the index sample, the time data at an arbitrary measurement time t after 24 hours from the storage, and the moisture mt at the measurement time t of the index sample Based on the above, the diffusion coefficient κx is obtained by the calculation of Equation 2,
Moisture mo at the time of warehousing of the sample to be managed, time data of each measurement time t1, t2,... Tx of the index sample after warehousing recorded as storage history information and each moisture me1, me2,. Based on mex and the diffusion coefficient κx, execute the calculation according to Equation 3,
A moisture fluctuation estimation method for warehouse-stored rice, characterized by sequentially estimating and calculating each moisture mt1, mt2,... Mtx of a sample to be managed at each measurement time t1, t2,. The indicator sample is unsealed bagged without Hygroscopic moisture, warehousing rice water according to claim 1, characterized in that housed in a stainless steel net basket wearing dustproof Fluctuation estimation method. A warehouse with a built-in thermo-hygrometer, which is divided into appropriate control zones that can be considered to have almost the same temperature and humidity change behavior,
Warehouse storage rice in a specific packing form, which is a management target sample in which the moisture mo at the time of storage stored in a plurality of management sections in the warehouse is measured;
An initial mass Wo installed in a management section equipped with the thermo-hygrometer, an index sample in which initial moisture Mo is measured and placed in a mesh basket;
Weighing means for weighing the index sample;
Moisture mo at the time of storage of the sample to be managed, mass Wt to be weighed at a specific measurement time after 24 hours from storage of the index sample, and time interval from 24 hours after storage of the index sample is longer than 24 hours Storing storage history information including time data of arbitrary measurement time points t1, t2,... Tx and moisture me1, me2,... Mex data at the respective time points;
An operation for obtaining a moisture Mt that is regarded as an equilibrium moisture me at the time of the measurement of the index sample based on the initial mass Wo, the initial moisture Mo, and the mass Wt of the index sample,
Based on the moisture mo at the time of storage of the sample to be managed, the equilibrium moisture me of the index sample, the time data at any measurement time t after 24 hours from the storage, and the moisture mt at the measurement time t of the index sample , An operation for obtaining the diffusion coefficient κx by Equation 2,
Moisture mo at the time of storage of the sample to be managed, time data of each measurement time point t1, t2,... Tx of the index sample, each moisture me1, me2,... Mex at that time, and a diffusion coefficient κx Based on Equation 3, an estimation calculation for obtaining each moisture mt1, mt2,... Mtx of the sample to be managed at each measurement time t1, t2,.
A computer for estimating moisture fluctuations,
A moisture fluctuation estimation system for warehouse-stored rice, characterized by comprising: The moisture of rice stored in a warehouse according to claim 3 , wherein the indicator sample is stored in a stainless steel net cage that is opened in a bag that does not absorb and release moisture and has a dustproof function. Fluctuation estimation system.