JP6375689B2 - Water supply amount prediction device, water supply amount prediction system, water supply amount prediction method, and water supply amount prediction program - Google Patents

Description

  The present invention relates to a technique for predicting the amount of water supplied to agricultural land or the like.

  Conventionally, as a technique for managing water supply for farmland, there are those shown in Patent Documents 1 and 2 shown below.

  Patent Document 1 describes a technique for appropriately distributing water to each field when the irrigation water available in the field area is insufficient in a field area composed of a plurality of fields.

  Patent Document 2 describes a technique capable of managing the drawing of water from an irrigation channel to farmland without going to the site.

Japanese Patent No. 4301691 Japanese Patent No. 5020343

  However, the above-described Patent Document 1 does not consider the control for supplying irrigation water to the field area without waste when there is not a shortage of irrigation water available in the field area. That is, Patent Document 1 does not appropriately control the amount of irrigation water supplied to each field area when there is not enough irrigation water available in the field area.

  In addition, in the above-mentioned Patent Document 2, the farmland operator reserves water from the irrigation channel to the farmland, and performs watering from the irrigation channel to the farmland in accordance with the reservation. It did not properly control the amount of water used to feed the farmland.

  An object of the present invention is to provide a technique for appropriately controlling the amount of water supplied to the cultivated area.

  In order to achieve the above object, the water supply amount prediction apparatus of the present invention is configured as follows.

  In this water supply amount prediction device, the cultivation area storage unit stores the history of the cultivation area in the target region, and the water supply amount history storage unit stores the history of the water supply amount of water for the target region. The target area is farmland where agricultural products such as vegetables and grains are cultivated.

  A prediction part performs the process shown below and predicts the amount of water to be supplied to the target area during the designated prediction period. The prediction unit first determines a performance period corresponding to the prediction period. What is necessary is just to determine the period when the growth condition of the agricultural product currently cultivated is substantially the same as a performance period with respect to a prediction period. For example, the performance period may be the week corresponding to the prediction period and the same day of the week in the past year, or may be the same month and day in the past year. That is, a period in which the growth status of the cultivated agricultural product is substantially the same as the prediction period may be set as the performance period. In this case, the performance period may be determined over a plurality of years.

  The prediction unit reads the actual period and the cultivation area of the target area in the prediction period from the cultivation area storage unit, and reads the amount of water supplied to the target area during the actual period from the water supply history storage unit. And the prediction unit uses the actual period read from the cultivation area storage unit, the cultivation area of the target area in the prediction period, and the amount of water supplied to the target area during the actual period read from the water supply history storage unit Thus, the amount of water supplied to the target area during the forecast period is predicted. For example, for the performance period, the amount of water supply per unit cultivated area [1 ha] in the target area is calculated and multiplied by the cultivated area in the prediction period. Use water.

Thus, the water supply amount of water that water in the target area in the prediction period, changes in the area under cultivation, it is possible to predict depending on the growth conditions of agricultural cultivated in the target area. Therefore, it is possible to appropriately control the amount of water supplied to the cultivated area.
Further, the comparison unit compares the amount of water supplied to the target area with the predicted amount of water supplied to the target area predicted by the prediction unit. And an output part outputs the comparison result in a comparison part to a pump drive control part. As a result, the pump can be efficiently operated based on the prediction result, so that an increase in running cost can be suppressed and natural destruction caused by unnecessarily pumping water from the water source can be suppressed.

  In addition, when the forecast period is specified by date, even if the forecast period is divided into a plurality of time intervals of 30 minutes, 1 hour, 2 hours, etc., and the water supply amount is predicted for each divided segment period Good. In this case, the allocation rate may be determined using the area of the area where the water is used in the target area for each division period, and the water supply amount may be predicted based on this allocation rate.

  In this way, the amount of water supplied to the cultivated area can be finely controlled.

  Further, when predicting the water supply amount of water to be supplied to the target area during the prediction period, the prediction unit determines a correction period based on the current time point, and the predicted water supply amount of water for this correction period, The actual water supply amount during the correction period may be used. The correction period may be, for example, a period immediately before performing this prediction (the most recent one week). If it does in this way, the amount of water supply can be estimated in consideration of an environmental change etc. between a prediction period and a performance period.

  According to this invention, it is possible to appropriately control the amount of water supplied to the cultivated area.

It is the schematic which shows the structure of a water supply prediction management system. It is a block diagram which shows the structure of the principal part of a water supply amount prediction apparatus. It is a figure which shows the structure of cultivation area DB. It is a figure which shows the structure of water supply amount log | history DB. It is a figure which shows the allocation rate of the amount of water supply for every time slot | zone which a time schedule memory | storage part memorize | stores. It is a figure which shows the flow volume of the water for every time slot | zone memorize | stored in the amount-of-time supply water amount memory | storage part. It is a functional block diagram which shows the function structure of an arithmetic processing part. It is a figure which shows the actual value of the total amount of water supply in the cultivation area A, and a predicted value. It is a block diagram which shows the structure of the principal part of a pump control apparatus. It is a flowchart which shows a prediction process. It is a figure which shows the relationship between the predicted total water supply amount of water and the total water supply amount of water actually supplied. It is a figure which shows the relationship between the amount of water supply which estimated water supply, and the amount of water supply of water actually supplied. It is a figure which shows the change of the actual water supply amount per unit allocation rate according to time zone.

  Embodiments of the present invention will be described below.

  FIG. 1 is a schematic diagram illustrating a configuration of a water supply amount prediction management system according to this example. This water supply amount prediction management system includes a water supply amount prediction device 1, a pump control device 2, a pump 3 (3a, 3b, 3c), and a flow meter 4 (4a, 4b, 4c, 4d). . The water supply amount prediction management system according to this example individually predicts water supply amounts for the three cultivation areas A, B, and C shown in FIG. Moreover, based on this prediction, the water supply with respect to the three cultivation areas A, B, and C, the monitoring of the water supply condition, etc. are performed. Cultivated areas A, B, and C correspond to the target areas referred to in the present invention.

  The water supply amount prediction device 1 individually predicts the amount of water supply for the three cultivated areas A, B, and C. The pump control device 2 controls the drive of the pumps 3 (3a, 3b, 3c) that supply water to each of the three cultivation areas A, B, and C. The pump 3 draws water from a water source such as a river into the water channel. As shown in FIG. 1, this irrigation channel is connected to each cultivation area A, B, C. The pump control device 2 controls the number of pumps 3 to be driven and the number of rotations of the pumps 3 in accordance with the water supply amount predicted by the water supply amount prediction device 1. The rotation speed control of the pump is performed by inverter control, for example.

  In FIG. 1, three pumps (3a, 3b, 3c) controlled by the pump control device 2 are illustrated, but the number of the pumps 3 is the amount of water supplied to the three cultivation areas A, B, C. Any number of water can be used as long as the water can be pumped from the water source to the water channel.

Flowmeter 4a detects the flow rate of water that is water in the cultivation area A [m ³ / s], the flow meter. 4b detects the flow rate of water that is water in the cultivated area B [m ³ / s] The flow meter 4c detects the flow rate [m ³ / s] of the irrigation water supplied to the cultivation area D. In addition, the flow meter 4d detects the flow rate [m ³ / s] of the irrigation water pumped up from the water source to the irrigation channel by the pump 3 (3a, 3b, 3c). Each flow meter 4 (4a, 4b, 4c, 4d) is connected to the pump control device 2 and inputs a detected value of the flow rate of the water to the pump control device 2.

  Moreover, the water supply amount prediction apparatus 1 and the pump control apparatus 2 are connected so that data communication is possible. In this example, the water supply amount prediction device 1 will be described as a cloud server on the Internet. The water supply amount prediction device 1 and the pump control device 2 are connected so as to be capable of data communication via a network such as the Internet.

  In addition, the structure connected to the pump control apparatus 2 so that data communication was possible via LAN etc. may be sufficient as the water supply amount prediction apparatus 1. FIG. Moreover, the structure which accommodated the water supply amount prediction apparatus 1 and the pump control apparatus 2 in one housing | casing, and was connected so that data communication was possible inside this housing | casing may be sufficient.

  FIG. 2 is a block diagram showing a configuration of a main part of the water supply amount prediction apparatus according to this example. The water supply amount prediction apparatus 1 includes an arithmetic processing unit 11, a cultivation area database 12 (hereinafter referred to as a cultivation area DB12), a water supply history database 13 (hereinafter referred to as a water supply history DB13), and a time schedule storage unit. 14, a water supply amount storage unit 15 according to time zone, and a communication unit 16.

  The arithmetic processing unit 11 performs a prediction process for individually predicting the amount of water supplied to the cultivation areas A, B, and C. Moreover, the arithmetic processing part 11 performs the monitoring process of the water supply condition of the irrigation water with respect to each of the cultivation areas A, B, and C. The arithmetic processing unit 11 corresponds to the prediction unit referred to in the present invention.

  In this example, the arithmetic processing unit 11 performs a prediction process for predicting the water supply amount for the cultivation areas A, B, and C in units of one day. Specifically, the arithmetic processing unit 11 sets the date on which the date is designated as the prediction date, and individually predicts the amount of water supplied on the prediction date for each of the cultivation areas A, B, and C. The designated date corresponds to the prediction period referred to in the present invention.

  Details of the prediction process and the monitoring process will be described later. The arithmetic processing unit 11 executes the water supply amount prediction method according to the present invention. The arithmetic processing unit 11 has a computer and executes the installed water supply amount prediction program according to the present invention.

  FIG. 3 is a diagram illustrating the configuration of the cultivation area DB. The cultivation area DB 12 stores a history of cultivation areas in the cultivation areas A, B, and C. Specifically, the cultivation area DB 12 stores the cultivation areas of the cultivation areas A, B, and C in association with each other for each year. In the example shown in FIG. 3, in 2010, the cultivation area of the cultivation area A is A1 [ha], the cultivation area of the cultivation area B is B1 [ha], and the cultivation area of the cultivation area C is C1 [ha]. It is. In 2011, the cultivation area of the cultivation area A is A2 [ha], the cultivation area of the cultivation area B is B2 [ha], and the cultivation area of the cultivation area C is C2 [ha]. The cultivated area DB 12 corresponds to the cultivated area storage unit referred to in the present invention.

  In this example, the period in which the cultivation area DB 12 stores the cultivation areas of the cultivation areas A, B, and C in association with each other is set to one year, but this period is set to a period such as three months or six months. May be.

FIG. 4 is a diagram showing the configuration of the water supply history DB. The water supply amount history DB 13 stores the water supply amount (actual value) for each cultivation area A, B, C, and the history of the predicted total water supply amount. Specifically, the water supply amount history DB 13 is predicted by the water supply amount [m ³ ] (actual value) of water actually supplied to each cultivation area A, B, and C, and a prediction process described later, every day. The predicted total amount of water [m ³ ] is stored in association with it. In the example shown in FIG. 4, on March 15, 2011, the actual value of the water supply amount for the cultivation area A is AV1 [m ³ ], and the actual value of the supply water amount for the cultivation area B is BV1 [m ³ ], and the actual value of the amount of water supplied to the cultivation area C is CV1 [m ³ ]. On March 15, 2011, the predicted total water supply for the cultivated area A is A'V1 [m ³ ], and the predicted total water supply for the cultivated area B is B'V1 [m ³ ]. Yes, the actual value of the predicted total water supply for the cultivated area C is C′V1 [m ³ ].

Moreover, on October 21, 2011, the actual value of the amount of water supplied to the cultivation area A is AV2 [m ³ ], and the actual value of the amount of water supplied to the cultivation area B is BV2 [m ³ ], The actual value of the amount of water supplied to the cultivation area C is CV2 [m ³ ]. In addition, on October 21, 2011, the predicted total water supply for the cultivated area A is A'V2 [m ³ ], and the predicted total water supply for the cultivated area B is B'V2 [m ³ ]. Yes, the actual value of the predicted total water supply for the cultivated area C is C′V2 [m ³ ].

  In addition, in FIG. 4, the predicted total water volume is predicted on May 20, 2014, but since the current time is not after May 21, 2014, the water volume of water supplied to each cultivated area A, B, C The (actual value) is not measured, and the water supply amount (actual value) for each cultivation area A, B, C is not registered. The water supply amount history DB 13 corresponds to the water supply amount history storage unit referred to in the present invention.

  The time schedule memory | storage part 14 memorize | stores the allocation rate of the water supply amount of the water for every time slot | zone in an estimated day. The time zone mentioned here is one hour in this example, and its start is on the hour. That is, one day is divided into 24 time zones. This divided time zone corresponds to the division period referred to in the present invention.

  FIG. 5 is allocation rate data of the water supply amount by time zone indicating the allocation rate of the water supply amount for each time zone, which is stored in the time schedule storage unit. FIG. 5 shows an allocation rate of the water supply amount for each time zone on May 20, 2014 (predicted date). In each cultivation area A, B, C, the total sum of the allocation rate in each time zone is 100%. The time schedule storage unit 14 stores at least allocation data of the water supply amount by time zone on the prediction date when the arithmetic processing unit 11 predicts the water supply amount of the irrigation water in the prediction process described later.

  The allocation rate of the water supply amount for each time zone on an arbitrary day is calculated using the area of the field where the water is used in each time zone on that day. The area of the field that uses water in each time zone is obtained from the work schedule of the farmer who owns the field in the cultivated areas A, B, and C. In other words, by confirming the work schedule with a farmer who owns the fields in the cultivated areas A, B, and C, the area of the fields that use the water in each time zone can be obtained. The allocation rate of the amount of water used for each time period is 100 minutes divided by the cumulative area that is the sum of the areas of the fields that use water in each time zone of the day. Rate value. For example, the allocation rate of the water supply amount for each time zone is calculated as follows.

Specifically, using the cultivation area A as an example, the area of the field using the water for each time zone on any day in the cultivation area A is Ax0 (0 o'clock), Ax1 (1 o'clock), Ax2 ( 2 o'clock), Ax3 (3 o'clock), Ax4 (4 o'clock), Ax5 (5 o'clock), Ax6 (6 o'clock), Ax7 (7 o'clock), Ax8 (8 o'clock), Ax9 (9 ), Ax10 (10 o'clock), Ax11 (11 o'clock), Ax12 (12 o'clock), Ax13 (13 o'clock), Ax14 (14 o'clock), Ax15 (15 o'clock), Ax16 (16:00) Stand), Ax17 (17 o'clock), Ax18 (18 o'clock), Ax19 (19 o'clock), Ax20 (20 o'clock), Ax21 (21 o'clock), Ax22 (22 o'clock), and Ax23 (23:00) Stand). In this case, the cumulative area SAx on this arbitrary day is
SAx = Ax0 + Ax1 + Ax2 + Ax3 + Ax4 + Ax5 + Ax6 + Ax7 + Ax8
+ Ax9 + Ax10 + Ax11 + Ax12 + Ax13 + Ax14 + Ax15 + Ax16
+ Ax17 + Ax18 + Ax19 + Ax20 + Ax21 + Ax22 + Ax23
become.

The quota rate an for the amount of water used for each interzone is
an = Axn / SAx × Aαn × 100
become. However, Aαn is a correction coefficient for each time zone detected by the water supply amount pattern learning function unit 58 for each time zone described later. Moreover, n shows a time zone and is 0-23. This time schedule memory | storage part 14 is corresponded to the water storage amount memory | storage part classified by division period said by this invention.

  FIG. 6 is data on the amount of water supplied by time zone indicating the amount of water supplied for each time zone, which is stored in the water amount storage unit by time zone. FIG. 6 shows the water supply amount for each time zone on May 20, 2014, and is a prediction result by a prediction process described later. Here, the flow volume of the water per unit time [sec] is memorize | stored as a water supply amount. In FIG. 6, avn shows the flow volume of the water supplied to the cultivation area A for every time slot | zone. bvn shows the flow volume of the water supplied to the cultivation area B for every time slot | zone. cvn shows the flow volume of the water supplied to the cultivation area C for every time slot | zone. However, n shows a time zone and is 0-23. In addition, the unit time of the flow rate stored as the water supply amount is not limited to the above [sec], and may be [min], [hour], or the like.

  The communication unit 16 transmits the prediction result to the pump control device 2 for each prediction day in which the water supply amount is predicted. Further, the communication unit 16 receives data transmitted from the pump control device 2. The data transmitted from the pump control device 2 is, for example, the flow rate of irrigation water detected by each flow meter 4 (4a, 4b, 4c, 4d). The communication unit 16 corresponds to the output unit referred to in the present invention.

  FIG. 7 is a functional block diagram illustrating a functional configuration of the arithmetic processing unit. The arithmetic processing unit 11 includes an actual period determining function unit 51, an actual period data reading function unit 52, a predicted total water supply amount calculating function unit 53, a correction period data reading function unit 54, and a predicted total water supply amount correcting function unit 55. A time-dependent water supply amount calculation function unit 56, a time-specific pump operation amount calculation function unit 57, a time-specific water supply amount pattern learning function unit 58, and a comparison function unit 59.

  The performance period determination function unit 51 determines the performance period corresponding to the designated prediction date. In this example, one year from January 1 to December 31 is managed in 53 weeks, and the same week as the designated prediction date and the same day of the week are determined as the actual period. For example, if the predicted date is May 20, 2014 (21st week Tuesday), the 21st week of Tuesday in the last few years (3-5 years) is determined as the performance period. That is, May 21, 2013 (Tuesday, 21st week), May 22, 2012 (Tuesday, 21st week), May 23, 2011 (Tuesday, 21st week), etc. are determined as the performance period. The The actual period may be one day, but is preferably a plurality of days.

  The actual period may be the same month and day in each year, or may be a period of several days before and after the same month and day in each year.

  The actual period data reading function unit 52 reads, for each cultivation area A, B, C, the cultivation area of the year to which the actual period determined from the cultivation area DB 12 belongs, and the cultivation area of the year to which the prediction date belongs. Moreover, the performance period data reading function part 52 reads the water supply amount of the performance period determined from the water supply amount history DB 13 for each cultivation area A, B, C.

  The predicted total water supply calculation function unit 53 calculates the water supply amount per unit area for each determined performance period, and multiplies the average of these by the cultivation area of the year to which the prediction date belongs. Calculate as The predicted total water supply amount calculation function unit 53 calculates the predicted total water supply amount for each of the cultivation areas A, B, and C.

  The correction period data reading function unit 54 reads the actual value of the total water supply amount and the predicted value for each day belonging to the correction period determined for the predicted date. The correction period may be determined based on the current time point. In this example, the past one week immediately before the prediction date is determined as the correction period. As shown in FIG. 4, the water supply history DB 13 stores the actual value and the predicted value of the total water supply for each cultivated area A, B, and C. FIG. 8 is a diagram showing the actual value and the predicted value of the total water supply amount in the cultivation area A.

  The predicted total water supply correction function unit 55 corrects the predicted total water supply amount calculated by the predicted total water supply amount calculation function unit 53 using the actual value and the predicted value of the total water supply amount for each day belonging to the correction period. To do. Specifically, the predicted total water supply correction function unit 55 calculates (actual value / predicted value) as a daily correction coefficient for each day belonging to the correction period, and uses the average of these daily correction coefficients as the correction coefficient. To do. Then, the predicted total water supply correction function unit 55 calculates a value obtained by multiplying the predicted total water supply amount calculated by the predicted total water supply amount calculation function unit 53 and the correction coefficient as a corrected predicted total water supply amount. The predicted total water supply correction function unit 55 calculates a corrected predicted total water supply amount for each of the cultivation areas A, B, and C.

The water supply amount calculation function unit 56 for each time zone calculates the flow rate of water for each time zone using the allocation rate of the water supply amount for each time zone on the prediction date shown in FIG. 5, and the time of the prediction date shown in FIG. Create water volume data for each band. The water flow rates avn, bvn, cvn for each time zone are as follows:
(Predicted total water supply amount corrected by predicted total water supply correction function unit 55) × (Allocation rate of water supply amount in corresponding time zone) / 3600
Is calculated by The hourly water supply amount storage unit 15 stores the hourly water supply amount data created by the hourly water supply amount calculation function unit 56.

  The pump operation amount calculation function unit 57 for each time zone calculates the number of pumps 3 to be driven and the drive parameters of each pump 3 according to the amount of water supplied to the cultivation areas A, B, and C. The drive parameter is, for example, a drive frequency that controls the rotation speed of the pump.

  Further, the time period water volume pattern learning function unit 58 calculates a correction coefficient for each time period used in the calculation of the allocation rate data of the time period water volume shown in FIG. The calculation of the correction coefficient will be described later.

  The comparison function unit 59 compares the flow rate of the water measured by the flow meter 4 with the predicted flow rate of the water to monitor whether or not the water supply is properly performed, and the water supply is not possible. If there are proper cultivation areas A, B, and C, a message indicating that fact and data related to the warning image are output. The comparison function unit 59 corresponds to the comparison unit referred to in the present invention.

  FIG. 9 is a diagram illustrating a configuration of the pump control device. The pump control device 2 includes a control unit 21, a pump drive unit 22, a flow rate measurement unit 23, a display / operation unit 24, and a communication unit 25.

  The control unit 21 controls the operation of each part of the main body of the pump control device 2.

  The pump drive unit 22 performs drive control of the connected pump 3 (3a, 3b, 3c).

  The flow rate measuring unit 23 receives an input of the flow rate of the water measured by the connected flow meter 4 (4a, 4b, 4c, 4d).

  The display / operation unit 24 includes an input device such as a mouse or a keyboard, and accepts an operator's input operation on the pump control device 2 main body. The display / operation unit 24 includes a display and controls screen display on the display.

  The communication unit 25 transmits the prediction result to the pump control device 2 for each prediction day in which the water supply amount is predicted. The communication unit 25 receives the data transmitted from the water supply amount prediction device 1. The data transmitted from the water supply amount prediction device 1 is data related to the pump operation amount for each time zone, for example.

  Hereinafter, the operation of the water supply amount prediction management system according to this example will be described.

  First, prediction processing for predicting the amount of water supplied to the cultivation areas A, B, and C will be described. FIG. 10 is a flowchart showing the prediction process. The water supply amount prediction device 1 according to this example automatically executes this prediction process at midnight every day (when the date changes). The forecast date is the current day. In addition, by this time, the allocation rate of the water supply amount for each time zone on the prediction date is stored in the time schedule storage unit 14.

  The water supply amount prediction device 1 determines a prediction date for predicting the water supply amount of water to be supplied to the cultivation areas A, B, and C (s1).

  In addition, it is good also as a structure where an operator performs input operation concerning execution of a prediction process. In this case, the operator may be configured to perform an input operation for specifying a prediction date in an operation unit (not shown) provided in the water supply amount prediction device 1, or a display / operation unit provided in the pump control device 2 24 may be configured to perform an input operation related to the specification of the predicted date in 24 and transmit the predicted date and the like input using the communication unit 25 to the water supply amount prediction device 1. Moreover, it is good also as a structure which can specify an estimated date arbitrarily by an operator.

  The arithmetic processing part 11 determines the performance period corresponding to the designated prediction date (s2). The performance period determination function unit 51 performs the process related to s2. The actual period is determined to be the same week as the predicted date and the same day of the week in the recent several years (about 3 to 5 years). In this example, since the number of part-time farmers is increasing, the performance period is adjusted to the day of the week. The actual period may be one day, but is preferably a plurality of days.

  For each of the cultivation areas A, B, and C, the arithmetic processing unit 11 reads the water supply amount (actual value) from the water supply amount history DB 13 for each result period determined in s2 (s3). Moreover, the arithmetic processing part 11 reads the cultivation area of the year to which the performance period belongs for every performance period determined by s2 from cultivation area DB12 about each of cultivation area A, B, and C (s4). In s4, the cultivation area of the year to which the prediction date belongs is also read out from the cultivation area DB 12 for each of the cultivation areas A, B, and C. The actual period data reading function unit 52 performs the processes related to s3 and s4.

  The arithmetic processing unit 11 individually calculates the predicted total water supply amount of water to be supplied on the prediction date for each of the cultivation areas A, B, and C (s5). Specifically, the arithmetic processing unit 11 calculates the water supply amount per unit cultivation area [1 ha] for each performance period determined in s2 for the cultivation area A. The water supply amount per unit cultivation area [1 ha] can be calculated by dividing the water supply amount (actual value) read in s3 by the cultivation area read in s4.

  The arithmetic processing unit 11 calculates the average water supply amount per unit cultivation area [1 ha] for the cultivation area A as the amount of water supply per unit cultivation area [1 ha] calculated for each performance period. calculate. Further, for the cultivation area A, the arithmetic processing unit 11 supplies the amount of irrigation water per unit cultivated area [1 ha] in the actual period (the average amount of irrigated water per unit cultivated area [1 ha] calculated for each actual period). ) And the cultivation area of the cultivation area A to which the prediction date read in s4 belongs is calculated as the predicted total water supply amount of water to be supplied on the prediction date.

  Moreover, the arithmetic processing part 11 performs the same calculation also about the cultivation areas B and C, and calculates the estimated total water supply amount of the water to be supplied on the prediction date. The predicted total water supply amount calculation function unit 53 performs the process related to s5.

  In addition, the arithmetic processing unit 11 divides the sum of the water supply amount (actual value) in the actual period determined in s2 by the total cultivation area in the actual period determined in s2, and the unit cultivation area in the actual period. It is good also as a structure calculated as the amount of water supply of water for [1ha].

  For each day to which the correction period corresponding to the prediction date belongs, the arithmetic processing unit 11 calculates the total water supply amount predicted for each of the cultivation areas A, B, and C, and the total water supply amount actually supplied. Read out as correction period data (s6). In this example, the correction period is the last seven days (one week) based on the current time. The total water supply amount (predicted total water supply amount) predicted for each correction period of the cultivation areas A, B, and C is stored in the water supply amount history DB 13. In addition, the water supply amount (actual value) of water actually supplied during the correction periods of the cultivation areas A, B, and C is also stored in the water supply history DB 13. The correction period data reading function unit 54 performs the process related to s6.

The arithmetic processing unit 11 calculates a correction coefficient for the predicted date (s7). In s7, a daily correction coefficient is calculated for each day belonging to the correction period. The daily correction factor is
Daily correction factor = (Total amount of water actually supplied) / (Predicted total amount of water supplied)
(See FIG. 8). And the average of the daily unit correction coefficient calculated about each day of the correction period is calculated as a correction coefficient.

  The arithmetic processing unit 11 corrects the predicted total water supply amount calculated in s5 using the correction coefficient calculated in s7 (s8). In s8, a value obtained by multiplying the predicted total water volume calculated in s5 by the correction coefficient calculated in s7 is calculated as a corrected predicted total water volume. The predicted total water supply amount correction function unit 55 performs the processes related to s7 and s8. In addition, the arithmetic processing unit 11 registers the predicted total water supply amount corrected in s8 in the water supply amount history DB13.

  The arithmetic processing unit 11 calculates the amount of water supplied for each predicted time zone (s9). Specifically, a value obtained by multiplying the predicted total water volume corrected in s8 by the allocation rate of the water volume for each time zone stored in the time schedule storage unit 14 is calculated as the water volume in that time zone. . Then, the water supply amount calculated for each time zone is converted into a water supply amount (that is, a flow rate) per unit time [sec] and stored in the time schedule storage unit 14 (s10). The processing related to s9 is performed by the hourly water supply amount calculation function unit 56.

  As described above, the water supply amount to be supplied to the cultivation areas A, B, and C on the prediction day is predicted using the water supply amount per unit area in the same period in the past several years. Therefore, the amount of water to be supplied can be accurately predicted according to the change in the cultivation area and the growth situation of the agricultural products cultivated in the target area.

  Next, the monitoring process of the water supply amount will be described. The water supply amount prediction device 1 calculates the operation amount of the pump 3 (3a, 3b, 3c) for each time zone of the day, and transmits this to the pump control device 2. The pump control device 2 drives the pump 3 (3a, 3b, 3c) in the pump drive unit 22.

  The flow rate of the irrigation water measured by each flow meter 4 (4a, 4b, 4c, 4d) is input to the flow rate measurement unit 23 of the pump control device 2. The pump control device 2 transmits the water flow rate measured by each flow meter 4 (4a, 4b, 4c, 4d) input to the flow rate measurement unit 23 to the water supply amount prediction device 1 in the communication unit 25.

  FIG. 11 is a flowchart showing the monitoring process. In the arithmetic processing unit 11, the water supply amount prediction device 1 determines the water supply status of the irrigation water for each cultivation area A, B, C (s21). Specifically, the flow rate of the water measured by each flow meter 4 (4a, 4b, 4c) transmitted from the pump control device 2 and the flow rate stored in the hourly water supply amount storage unit 15 are In contrast, it is determined whether the water supply for the cultivation areas A, B, and C is appropriate. The comparison function unit 59 performs the process related to s21.

  In s21, for the cultivation area A, the flow rate of the irrigation water measured by the flow meter 4a is compared with the flow rate for the cultivation area A stored in the hourly water supply storage unit 15. Further, for the cultivation area B, the flow rate of the water measured by the flow meter 4b is compared with the flow rate for the cultivation area B stored in the hourly water supply storage unit 15. Further, for the cultivation area C, the flow rate of the irrigation water measured by the flow meter 4c is compared with the flow rate for the cultivation area C stored in the hourly water supply storage unit 15.

  In the above comparison, if the flow rate of the water measured by the flow meter 4 is more than a predetermined amount (for example, 10%) more than the flow rate stored in the hourly water volume storage unit 15, the supply of water to the target area is performed. It is determined that the amount of water is not appropriate.

  The water supply amount prediction device 1 transmits the determination result in s21 to the pump control device 2 (s22). The water supply amount prediction device 1 repeats the processes related to s21 and s22.

  In addition, the pump control device 2 is provided in the display / operation unit 24 for each of the cultivation areas A, B, and C in comparison with the predicted water flow rate and the actual water flow rate measured by the flow meter 4. You may display on the display. For example, as shown in FIG. 12, the predicted flow rate of water and the actual flow rate of water measured by the flow meter 4 are displayed in a graph in which the horizontal axis is the time axis and the vertical axis is the water supply amount. To do. As a result, the operator can visually check the difference between the predicted water supply amount (flow rate) of the service water and the actual water supply amount (flow rate) measured by the flow meter 4.

  Further, the pump control device 2 may perform feedback control of the operation amount of the pump 3. For example, the pump control device 2 controls the operation amount of the pump 3 when the amount of water supplied to a certain cultivated area increases and cannot supply enough water to another cultivated area. You may control so that water can fully be supplied with respect to an area.

  Moreover, the water supply amount prediction apparatus 1 obtains the amount of water supplied to the cultivated area A by integrating the flow rate of the water measured by the flow meter 4a over time. Similarly, the amount of water supplied to the cultivation area B can be calculated by time-integrating the flow rate of the water measured by the flow meter 4b, and the amount of water supplied to the cultivation area C is: It can be calculated by time integration of the flow rate of the water measured by the flow meter 4c. The water supply amount prediction device 1 stores the water supply amount of water supplied to each cultivation area A, B, C in the water supply amount history DB 13.

  Thus, the water supply amount prediction apparatus 1 can predict the water supply amount of the water to be supplied according to the change in the cultivation area and the growth situation of the agricultural products cultivated in the target area. That is, it is possible to appropriately control the amount of water supplied to each cultivation area A, B, C.

  Moreover, since the pump 3 (3a, 3b, 3c) is controlled based on this prediction result, the pump 3 (3a, 3b, 3c) can be operated efficiently. Therefore, it is possible to suppress an increase in running cost and to suppress natural destruction caused by unnecessarily pumping water from a water source.

  Further, the arithmetic processing unit 11 may be configured not to include the correction period data reading function unit 54 and the predicted total water supply amount correction function unit 55 in the above example. In this case, the hourly water supply amount calculation function unit 56 may be configured to calculate the hourly water supply amount using the predicted total water supply amount calculated by the predicted total water supply amount calculation function unit 53.

  In addition, the time-dependent pump operation amount calculation function unit 57 and the comparison function unit 59 in the above example may be provided on the pump control device 2 side. If it does in this way, in the above-mentioned monitoring process, the amount of data (data concerning the measured value of the flow rate of the water by flow meter 4) communicated between water supply amount prediction device 1 and pump control device 2 is suppressed. be able to.

  Here, a process in which the hourly water supply amount pattern learning function unit 58 learns the correction coefficient for each time zone will be described. As described above, the amount of water used during the day tends to increase compared to the amount of water used in the early morning and evening.

  For each time zone, the hourly water amount pattern learning function unit 58 calculates a value obtained by dividing the actual water supply amount of water for that time zone by the allocation rate for that time zone. The value calculated here is the actual water supply amount per unit allocation rate. FIG. 13 is a diagram showing a change in the actual water supply amount per unit allocation rate for each time zone. For example, the hourly water supply amount pattern learning function unit 58 calculates a variation count for each time zone using data for the most recent one week on the predicted date. This variation count is calculated by dividing (actual water supply amount per unit allocation rate in that time zone) by (average of actual water supply amount per unit allocation rate) for each time zone. This variation count is the correction coefficient for each time zone described above. Thereby, the influence of the fluctuation | variation of the usage-amount of the water supply by a time slot | zone is suppressed for the allocation rate of the water supply amount which the time schedule memory | storage part 14 memorize | stores.

DESCRIPTION OF SYMBOLS 1 ... Water supply amount prediction apparatus 2 ... Pump control apparatus 3 (3a-3c) ... Pump 4 (4a-4d) ... Flowmeter 11 ... Arithmetic processing part 12 ... Cultivated area database (cultivated area DB)
13 ... Water supply history database (Water supply history DB)
14 ... Time schedule storage unit 15 ... Time-based water supply storage unit 16 ... Communication unit 21 ... Control unit 22 ... Pump drive unit 23 ... Flow rate measurement unit 24 ... Operation unit 25 ... Communication unit 51 ... Result period determination function unit 52 ... Result Period data reading function unit 53 ... Predicted total water volume calculating function unit 54 ... Correction period data reading function unit 55 ... Predicted total water volume correcting function unit 56 ... Time zone water volume calculating function unit 57 ... Time zone pump operation amount calculating function Unit 58 ... Water volume pattern learning function by time zone 59 ... Comparison function unit

Claims (9)

A cultivated area storage unit for storing a history of cultivated area in the target area;
A water supply amount history storage unit for storing a history of the amount of water supply for the target area;
A prediction unit that predicts the amount of water to be supplied to the target area during a designated prediction period, and
The prediction unit determines an actual period corresponding to the prediction period, reads the actual period and the cultivation area of the target area in the prediction period from the cultivation area storage unit, and sets the target area in the actual period. From the water supply history storage unit, the amount of water supplied is read from the water supply history storage unit, and further from the farming area of the target area in the actual period and the prediction period read from the cultivation area storage unit, from the water supply history storage unit Using the amount of water supplied to the target area during the read performance period, predicting the amount of water to be supplied to the target area during the prediction period ,
Furthermore, a comparison unit that compares the amount of water supplied to the target area with the predicted amount of water supplied to the target area predicted by the prediction unit;
An output unit that outputs a comparison result in the comparison unit to a pump drive control device that controls driving of a pump that supplies water to a target area . For each of the division periods divided into a plurality of the prediction periods, a water storage amount storage unit for each division period that stores an allocation rate of water to be supplied to the target area,
The prediction unit predicts the amount of water to be supplied to the target area for each segment period using the allocation rate stored for each segment period by the segment-specific water amount storage unit. Item 2. A water supply amount prediction apparatus according to item 1.   The amount of water supply according to claim 2, wherein the amount-of-water-transfer storage unit according to the division period stores, for each of the division periods, an allocation rate determined using an area of the area where water is used in the target area during the division period. Prediction device.   The said prediction part is the week corresponding to the said prediction period and the same day of the week in the past year, The water supply amount prediction apparatus in any one of Claims 1-3 which determines the said performance period.   The prediction unit is configured to calculate the prediction period for the target area based on a water supply amount per unit cultivation area of the target area in the actual period and a cultivation area of the target area in the prediction period. The water supply amount prediction apparatus according to any one of claims 1 to 4, wherein the water supply amount is predicted to be supplied to the water.   The prediction unit determines a correction period based on a current time point when predicting a water supply amount of water to be supplied to the target area in the prediction period, and an estimated water supply amount for the correction period The water supply amount prediction apparatus according to any one of claims 1 to 4, wherein an actual water supply amount of water during the correction period is used. A cultivated area storage unit for storing a history of cultivated area in the target area;
A water supply amount history storage unit for storing a history of the amount of water supply for the target area;
For the target area, a prediction unit that predicts the amount of water to be supplied during a designated prediction period;
A pump drive control unit that controls driving of a pump that supplies water to the target area based on a prediction result of the prediction unit;
The prediction unit determines an actual period corresponding to the prediction period, reads the actual period and the cultivation area of the target area in the prediction period from the cultivation area storage unit, and sets the target area in the actual period. From the water supply history storage unit, the amount of water supplied is read from the water supply history storage unit, and further from the farming area of the target area in the actual period and the prediction period read from the cultivation area storage unit, from the water supply history storage unit Using the amount of water supplied to the target area during the read performance period, predicting the amount of water to be supplied to the target area during the prediction period ,
Furthermore, a comparison unit that compares the amount of water supplied to the target area with the predicted amount of water supplied to the target area predicted by the prediction unit;
A water supply amount prediction system comprising: an output unit that outputs a comparison result in the comparison unit to the pump drive control unit . A water supply amount prediction method for predicting the amount of water to be supplied to a target area during a designated prediction period,
An actual period determining step for determining an actual period corresponding to the forecast period;
The cultivation area reading step of reading the cultivation area of the target area in the actual period and the prediction period from the cultivation area storage unit that stores the history of the cultivation area in the target area;
A water supply amount reading step for reading out a water supply amount of water supplied to the target area during the performance period from a water supply history storage unit that stores a history of the water supply amount for the target area;
The actual period read from the cultivation area storage unit, the cultivation area of the target area in the prediction period, and the amount of water supplied to the target area during the actual period read from the water supply history storage unit Using the prediction step of predicting the amount of water to be supplied to the target area during the prediction period;
A comparison step of comparing the water supply amount for the target area with the predicted water supply amount for the target area predicted in the prediction step;
An output step of outputting a comparison result in the comparison step to a pump drive control device that controls driving of a pump that supplies water to the target area . A water supply amount prediction program for causing a computer to predict the amount of water to be supplied to a target area during a specified prediction period,
An actual period determining step for determining an actual period corresponding to the forecast period;
The cultivation area reading step of reading the cultivation area of the target area in the actual period and the prediction period from the cultivation area storage unit that stores the history of the cultivation area in the target area;
A water supply amount reading step for reading out a water supply amount of water supplied to the target area during the performance period from a water supply history storage unit that stores a history of the water supply amount for the target area;
The actual period read from the cultivation area storage unit, the cultivation area of the target area in the prediction period, and the amount of water supplied to the target area during the actual period read from the water supply history storage unit Using the prediction step of predicting the amount of water to be supplied to the target area during the prediction period;
A comparison step of comparing the water supply amount for the target area with the predicted water supply amount for the target area predicted in the prediction step;
A water supply amount prediction program that causes a computer to execute an output step of outputting a comparison result in the comparison step to a pump drive control device that controls driving of a pump that supplies water to a target area .

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