Remaining amount prediction system, remaining amount prediction method, and remaining amount prediction program

Abstract

To predict a remaining amount of a stored object.SOLUTION: A remaining amount prediction system 80 includes: an acquisition unit 11A which acquires a remaining amount of an object that includes at least one of domestic water and fuel for each constant time; a derivation unit 11B which derives a consumption rate of the object from the remaining amount for each constant time acquired by the acquisition unit 11A and derives a predicted remaining amount after the elapse of the prescribed time; and an output unit 11C which displays the predicted remaining amount on a display device.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to a remaining amount prediction system, a remaining amount prediction method, and a remaining amount prediction program. [Background technology]

[0002] The following Patent Document 1 describes a disaster support system, a disaster support method, and a disaster support program for supporting the management of resources necessary for activities so that people in the building can continue their activities in the event of a disaster. This disaster support system detects the status of various facilities such as water tanks, fuel tanks, gas tanks, emergency supplies, and drainage tanks. It also predicts the total usage per unit time of the facilities in the building according to the location information of people in the building. It then controls the use of the facilities in the building so that the people in the building can use them. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent Publication No. 2022-029984 Summary of the Invention [Problem to be solved by the invention]

[0004] The disaster support system of Patent Document 1 predicts the total usage of facilities in the building per unit time according to location information of people in the building. This location information includes the location, number of people, and attributes of the people. However, the usage of the facilities in the building does not necessarily match such predicted values. In this case, there is a possibility that the stock of the facilities in the building will be depleted sooner than expected. For this reason, a method for predicting the remaining amount of stored items such as water for daily use and fuel is required.

[0005] In consideration of the above, an object of the present invention is to predict the remaining amount of a stored object. [Means for solving the problem]

[0006] The remaining amount prediction system of claim 1 comprises an acquisition unit that acquires a remaining amount of an object containing at least one of stored domestic water and fuel at regular intervals, a derivation unit that derives a consumption rate of the object from the remaining amount at regular intervals acquired by the acquisition unit to derive a predicted remaining amount after a predetermined time has elapsed, and an output unit that displays the predicted remaining amount on a display device.

[0007] In the remaining amount prediction system of claim 1, the remaining amount of an object including at least one of stored domestic water and fuel is acquired at regular intervals. Then, the consumption rate of the object is derived from the remaining amount at each regular interval. From this consumption rate, a predicted remaining amount of the object is derived and displayed on a display device. Thus, in this embodiment, the predicted remaining amount of the object is derived from the actual measured value of the remaining amount of the stored object.

[0008] Therefore, the accuracy of predicting the remaining amount of the object after a certain time has elapsed is improved compared to the case where the predicted value of the consumption amount of the object is derived from the location of the occupants of the building, the number of occupants, etc. This makes it easier to consider the time when the object will run out and the amount of replenishment required to prevent it from running out for a certain period of time.

[0009] The remaining amount prediction system of claim 2 is the remaining amount prediction system of claim 1, in which the derivation unit derives the predicted remaining amount after obtaining a predetermined number or more of the remaining amounts, and the output unit displays a tentative predicted remaining amount on the display device before deriving the predicted remaining amount.

[0010] In the remaining amount prediction system of claim 2, the predicted remaining amount of the object is derived after acquiring a predetermined number or more of the remaining amount of the object. This improves the accuracy of predicting the remaining amount of the object compared to when prediction is made from less than the predetermined number of acquired values.

[0011] Furthermore, before the estimated remaining amount is derived, the tentative estimated remaining amount is displayed on the display device, which makes it easier to raise the awareness of saving among the target person compared to a case where such a tentative estimated remaining amount is not displayed.

[0012] A remaining amount prediction system according to claim 3 is the remaining amount prediction system according to claim 1 or 2, wherein the derivation unit intermittently corrects the predicted remaining amount using the acquired remaining amount.

[0013] In the remaining amount prediction system of claim 3, the predicted remaining amount is intermittently corrected using the obtained remaining amount, so that the longer the elapsed time, the more accurate the prediction of the remaining amount of the object becomes.

[0014] A remaining amount prediction system according to claim 4 is the remaining amount prediction system according to claim 1 or 2, wherein the acquisition unit starts acquiring the remaining amount in response to a cutoff of supply of the object.

[0015] In the remaining amount prediction system of claim 4, the acquisition of the remaining amount is started in response to the interruption of the supply of the object. This allows the remaining amount prediction to start more quickly after the occurrence of a disaster, compared to when the acquisition of the remaining amount is started in response to an instruction from a human.

[0016] In addition, the remaining amount prediction system of claim 4 may be a remaining amount prediction system according to any one of claims 1 to 3, wherein the acquisition unit starts acquiring the remaining amount in response to a cutoff in supply of the object.

[0017] The remaining amount prediction method of claim 5 acquires the remaining amount of an object containing at least one of domestic water and fuel at regular intervals, derives a consumption rate of the object from the acquired remaining amount at regular intervals, derives a predicted remaining amount after a predetermined time has elapsed, and displays the predicted remaining amount on a display device.

[0018] The remaining amount prediction method of claim 5 provides the same effects as the remaining amount prediction system of claim 1.

[0019] The remaining amount prediction program of claim 6 causes a computer to function as an acquisition unit that acquires the remaining amount of an object including at least one of domestic water and fuel at regular intervals, a derivation unit that derives a consumption rate of the object from the remaining amount at regular intervals acquired by the acquisition unit, and derives a predicted remaining amount after a predetermined time has elapsed, and an output unit that displays the predicted remaining amount on a display device.

[0020] The remaining amount prediction program of claim 6 provides the same effects as the remaining amount prediction system of claim 1. Effect of the Invention

[0021] According to the present invention, the remaining amount of a stored object can be predicted. [Brief description of the drawings]

[0022] [Figure 1] 1 is a block diagram showing a functional configuration of a remaining amount prediction system and a remaining amount prediction device according to an embodiment of the present invention; [Diagram 2] 2 is a block diagram showing the electrical configuration of the remaining amount predicting device according to the embodiment of the present invention; FIG. [Diagram 3] FIG. 2 is a conceptual diagram showing a display example of a display device according to an embodiment of the present invention. [Figure 4] FIG. 13 is a conceptual diagram showing a modified example of the display example of the display device according to the embodiment of the present invention. [Diagram 5] 5 is a flowchart illustrating an example of a remaining amount prediction process according to the embodiment of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0023] Hereinafter, a remaining amount prediction system, a remaining amount prediction method, and a remaining amount prediction program according to an embodiment of the present invention will be described with reference to the drawings. Components indicated by the same reference numerals in each drawing are the same components. However, unless otherwise specified in the specification, each component is not limited to one, and may be present in multiple numbers.

[0024] In addition, explanations of configurations and symbols that are duplicated in each drawing may be omitted. Note that the present disclosure is not limited to the following embodiments, and may be implemented by making appropriate modifications, such as omitting configurations, replacing them with different configurations, or combining one embodiment and various modified examples, within the scope of the purpose of the present disclosure.

[0025] <Remaining amount prediction system> The remaining fuel prediction system 80 shown in Fig. 1 is a system for preventing buildings from losing electricity or running out of water during disasters such as earthquakes. By using this system, the predicted remaining amounts of emergency fuel and water can be displayed on a display device, encouraging building users to conserve electricity and water.

[0026] In the present invention, the term "system" includes a system composed of multiple devices, a system composed of a single device, and a system composed of a higher-level device or system. For example, in the remaining amount prediction system 80 of the present disclosure, the remaining amount prediction device 10 described later is not limited to being constructed as a single device, and may be constructed across multiple devices.

[0027] (Prediction target) Examples of objects for which the remaining amount is predicted include fuel stored in the fuel tank of the emergency generator 30A and water for daily use stored in the water tank 30B. The object can also be wastewater from the drainage tank 30C. When the object is wastewater from the drainage tank 30C, the predicted remaining amount of wastewater (hereinafter, sometimes referred to as the remaining amount of wastewater) refers to the volume that can be drained into the drainage tank (the remaining capacity of the drainage tank). The drainage tank 30C is an emergency water tank used when it becomes impossible to drain water into a drain pipe connected to the sewer system.

[0028] In the present invention, at least one of fuel and domestic water may be the target, but in this specification, the case where fuel, domestic water, and residual wastewater are the target will be described. In addition, examples of the water tank 30B include a receiving tank for storing clean water, and a grey water tank for storing grey water. Furthermore, domestic water includes clean water and grey water. In the present invention, when domestic water is the target, both clean water and grey water may be the target, or either one of them may be the target.

[0029] (Object sensor) The emergency generator 30A, the water tank 30B, and the drainage tank 30C are provided with sensors 20A, 20B, and 20C, respectively. The sensor 20A can measure the amount (remaining amount) of heavy oil or light oil as fuel stored in the emergency generator 30A. Similarly, the sensor 20B can measure the amount (remaining amount) of domestic water stored in the water tank 30B. Furthermore, the sensor 20C can measure the amount of wastewater stored in the drainage tank 30C. For example, level sensors are used as these sensors 20A, 20B, and 20C.

[0030] (display device) The display device 40 is, for example, as shown in FIG. 3, a device equipped with a screen 40A capable of displaying the predicted remaining amount of an object after a predetermined time has elapsed, and is installed, for example, in a disaster prevention center or a manager's room of a building.

[0031] Screen 40A shows the history (actual value) of the remaining amount of fuel stored in emergency generator 30A in graph K1, and the predicted value in graph K2. Similarly, screen 40A shows the history (actual value) of the remaining amount of domestic water stored in water tank 30B in graph L1, and the predicted value in graph L2. Screen 40A also shows the remaining amount of wastewater (actual value) in drainage tank 30C in graph M1, and the predicted value in graph M2. These actual values ​​and predicted values ​​are displayed with the current time T1 as the boundary line.

[0032] Moreover, the status of the power supply, tap water supply, and drainage conditions can be displayed on the screen 40A.

[0033] Specifically, for example, when the power supply from the power grid to the building is stopped, the screen 40A can display "Power outage" or the like. Similarly, when the supply of clean water from the water pipes to the building is stopped, the screen 40A can display "Water outage" or the like. Also, when it is impossible to discharge wastewater from the building to the sewer pipes, the screen 40A can display "Drainage not possible" or the like.

[0034] Furthermore, the remaining amounts of the emergency generator 30A, the water tank 30B, and the drainage tank 30C at the current time T1 can be displayed on the screen 40A.

[0035] Specifically, the remaining amount of fuel stored in the emergency generator 30A can be displayed on the screen 40A as "fuel remaining XX% (XX L)". Similarly, the remaining amount of domestic water stored in the water tank 30B can be displayed on the screen 40A as "water volume remaining XX% (XX L)". In addition, the remaining amount of drainage in the drainage tank 30C can be displayed on the screen 40A as "water volume remaining XX% (XX L)".

[0036] Furthermore, on the screen 40A, a message for the user of the remaining amount prediction system 80 can be displayed according to the remaining amount of fuel, the remaining amount of stored water, and the remaining amount of drainage.

[0037] Specifically, depending on the remaining fuel level, for example, screen 40A can display, "Less than 30% remaining. Please switch to power saving mode or arrange for fuel refueling." Similarly, depending on the remaining water level, screen 40A can display, "Less than 50% remaining. Please encourage people to conserve water." Also, depending on the remaining drainage level, screen 40A can display, "The toilet is nearly full. Please switch to the emergency toilet immediately."

[0038] <Remaining amount prediction device> The remaining amount predicting device 10 shown in FIG. 1 is a device for predicting the remaining amount of fuel, the remaining amount of stored water, and the remaining amount of drainage, and displaying the predicted values ​​after a predetermined time has elapsed on a display device 40.

[0039] (Electrical configuration of the remaining amount prediction device) 2, the remaining amount prediction device 10 includes a CPU (Central Processing Unit: processor) 11, a memory 12 as a temporary storage area, a non-volatile storage unit 13, an input unit 14 such as a keyboard and a mouse, a display unit 15 such as a liquid crystal display, a medium read / write device (R / W) 16, a communication interface (I / F) unit 18, and an external I / F unit 19. The CPU 11, the memory 12, the storage unit 13, the input unit 14, the display unit 15, the medium read / write device 16, the communication I / F unit 18, and the external I / F unit 19 are connected to each other via a bus B1. The medium read / write device 16 reads information written in the recording medium 17 and writes information to the recording medium 17.

[0040] (Storage part) The storage unit 13 is realized by an HDD (Hard Disk Drive), an SSD (Solid State Drive), a flash memory, or the like. A remaining amount prediction program 13A is stored in the storage unit 13 as a storage medium. The remaining amount prediction program 13A is stored in the storage unit 13 by setting a recording medium 17 on which the remaining amount prediction program 13A is written in the medium reading and writing device 16, and the medium reading and writing device 16 reading the remaining amount prediction program 13A from the recording medium 17. The CPU 11 reads the remaining amount prediction program 13A from the storage unit 13, expands it in the memory 12, and sequentially executes the processes of the remaining amount prediction program 13A. A remaining amount database 13B, which will be described later, is stored in this storage unit 13.

[0041] (Input section) At the input unit 14, a user who uses the remaining amount prediction system 80 performs operations for starting and ending the remaining amount prediction program 13A.

[0042] (Display) Information for starting and ending the remaining amount predicting program 13A is displayed on the display unit 15. The display unit 15 and the input unit 14 may be formed integrally with the display device 40 described above.

[0043] (Functional configuration of remaining amount prediction device) A functional configuration of a remaining amount prediction device 10 according to this embodiment will be described with reference to Fig. 1. As shown in Fig. 1, the remaining amount prediction device 10 includes an acquisition unit 11A, a derivation unit 11B, and an output unit 11C. The CPU 11 of the remaining amount prediction device 10 executes a remaining amount prediction program 13A to function as the acquisition unit 11A, the derivation unit 11B, and the output unit 11C.

[0044] (Acquisition Department) The acquisition unit 11A acquires the remaining amount of an object containing at least one of domestic water and fuel at regular time intervals.

[0045] More specifically, the acquisition unit 11A acquires the amount (remaining amount) of heavy oil or light oil stored as fuel in the emergency generator 30A from the sensor 20A at regular intervals. Similarly, the acquisition unit 11A acquires the amount (remaining amount) of domestic water stored in the water tank 30B from the sensor 20B at regular intervals. The acquisition unit 11A also acquires the amount of wastewater, etc. stored in the drainage tank 30C from the sensor 20C at regular intervals. The "regular interval" can be set to any time, such as 1 minute, 10 minutes, or 1 hour.

[0046] The acquisition unit 11A intermittently acquires whether or not there is power supply from the power grid, whether or not there is clean water supply from the water pipe, and whether or not wastewater can be discharged into the water distribution pipe. Therefore, the acquisition unit 11A can detect whether or not the supply of fuel and water for daily use as the object has been cut off. The acquisition unit 11A can also detect whether or not wastewater as the object can be discharged into the drainage pipe.

[0047] (Outline of the extraction section) The derivation unit 11B derives the consumption speed (actual value) of fuel and domestic water from the remaining fuel amount and domestic water amount for each fixed time acquired by the acquisition unit 11A, and derives a predicted remaining amount after a predetermined time has elapsed. The derivation unit 11B also derives the consumption speed of the drainage capacity (actual value of the speed at which the surplus capacity of the drainage tank 30C is used) from the amount of drainage for each fixed time acquired by the acquisition unit 11A, and derives a predicted remaining amount (drainage remaining amount) after a predetermined time has elapsed.

[0048] (Derivation part - derivation of actual consumption speed value) First, the derivation unit 11B derives the amount of fuel consumed per unit time, i.e., the fuel consumption rate, from the remaining fuel amount (Kt1, Kt2) acquired at regular intervals (for example, at times t1 and t2). Kt1 is the remaining fuel amount at time t1, and Kt2 is the remaining fuel amount at time t2. As a result, the actual fuel consumption rate value V real t is derived as follows:

[0049] V real t=(Kt1-Kt2) / (t2-t1)

[0050] (Derivation part - derivation of predicted consumption speed value) Next, the derivation unit 11B calculates the consumption rate actual value V real t is used to derive a predicted value Vt of the consumption rate. In order to derive the predicted value Vt, the derivation unit 11B can use a method such as regression analysis, machine learning, or Bayesian updating. A program for executing a process of deriving a predicted value Vt of the consumption rate by regression analysis, machine learning, or Bayesian updating is included in the remaining amount prediction program 13A.

[0051] When deriving the predicted value Vt of the fuel consumption rate, the derivation unit 11B acquires a fuel remaining amount equal to or greater than a predetermined number. The "predetermined number" is a value that is set in advance, and various values ​​can be applied. For example, the case where the predetermined number is set to "4" will be described.

[0052] At this time, the derivation unit 11B derives the fuel consumption rate actual value V from the remaining fuel amounts (Kt1, Kt2, Kt3, Kt4) acquired at every fixed time, for example, at times t1, t2, t3, and t4. real Derive multiple t's as follows:

[0053] V real t1=(Kt1-Kt2) / (t2-t1) V real t2=(Kt2-Kt3) / (t3-t2) V real t3=(Kt3-Kt4) / (t4-t3)

[0054] The derivation unit 11B calculates these multiple consumption rate actual values ​​V real t1, V real t2, V real From t3, a predicted value Vt of the consumption rate is derived.

[0055] In addition, when fuel is refueled, the actual consumption rate V real t is a negative value. The derivation unit 11B calculates the consumption rate actual value V real If t is a negative value, the negative value is not used to derive the predicted value Vt of the consumption rate.

[0056] (Derivation part - Derivation of predicted remaining amount) Next, the derivation unit 11B uses the amount K of fuel at the current time and the predicted value Vt of the consumption rate to derive the predicted remaining amount K(T) of fuel after a predetermined time (T) has elapsed as a function of time T as follows:

[0057] K(T) = K-Vt T

[0058] Similarly, the derivation unit 11B derives the predicted remaining amount of domestic water after a predetermined time has elapsed and the predicted remaining amount of wastewater after a predetermined time has elapsed as a function of time.

[0059] (Derivation part - provisional forecast remaining amount) Before the predicted remaining amount is derived, that is, at the stage when the number of acquired object remaining amounts is less than a predetermined number, the derivation unit 11B uses the tentative predicted remaining amount as the predicted remaining amount of the object after a predetermined time has elapsed.

[0060] A user of the remaining amount prediction system 80 can input an arbitrary value in advance as the tentative predicted remaining amount via the input unit 14. The tentative predicted remaining amount can also be derived by the derivation unit 11B from an arithmetic expression stored in the remaining amount prediction program 13A.

[0061] The arithmetic expression is an arithmetic expression for predicting a predicted value of a future consumption amount from a time-series record of the remaining amount of the object in the past. The remaining amount of the object in the past is acquired by the acquisition unit 11A and stored in the remaining amount database 13B.

[0062] (Derivation part - Correction of predicted value) The derivation unit 11B intermittently corrects the predicted remaining amount by using the remaining amount of the object acquired by the acquisition unit 11A. For example, as described above, after the remaining amount of the object is acquired four times to derive the predicted value of the consumption rate of the object, the predicted value of the consumption rate is corrected every time the remaining amount of the object is newly acquired.

[0063] (Output section) As shown in FIG. 4, the output unit 11C causes the display device 40 to display the predicted remaining amount of fuel after a predetermined time has elapsed (graph K2), the predicted remaining amount of domestic water after a predetermined time has elapsed (graph L2), and the predicted remaining amount of wastewater after a predetermined time has elapsed (graph M2), which are derived by the derivation unit 11B.

[0064] Since these predicted remaining amounts are shown as a function of time (T), the display device 40 can also display the predicted time when the fuel in the emergency generator 30A will run out, the predicted time when the water for daily use in the water tank 30B will run out, and the predicted time when the drainage tank 30C will become full.

[0065] 4, the output unit 11C causes the display device 40 to display the actual value of the remaining amount of fuel (graph K1), the actual value of the remaining amount of domestic water (graph L1), and the actual value of the remaining amount of wastewater (graph M1).

[0066] (Derivation and output part - Derivation and display of multiple predicted values) The derivation unit 11B can derive multiple values ​​for each same time period as the predicted remaining amount of the object after a predetermined time has elapsed. For example, when deriving a predicted value of the consumption rate of the object by Bayesian updating, for example, an 80% confidence interval is derived from the average value and standard deviation of multiple actual values ​​used in the prediction. The lower and upper limit thresholds of the 80% confidence interval can also be used as additional predicted values.

[0067] In this case, the output unit 11C can display the lower and upper thresholds as graphs K2A and K2B on the display device 40, as shown in FIG.

[0068] <Remaining amount prediction process> The remaining amount prediction process in the remaining amount prediction system 80 according to this embodiment will be described with reference to Fig. 5. In response to an execution instruction from a user via the input unit 14, the CPU 11 of the remaining amount prediction device 10 executes the remaining amount prediction program 13A, thereby executing the remaining amount prediction process shown in Fig. 5.

[0069] When the execution of the remaining amount prediction program 13A is started, in step S102, the CPU 11 executes waiting for the supply of the object to be cut off. The CPU 11 repeatedly executes step S102 until the supply of the object is cut off, that is, until at least one of the fuel and the domestic water is cut off. When the supply of the object is cut off, the process proceeds to step S104.

[0070] When the target object is the drainage of the drainage tank 30C, the CPU 11 determines in step S102 whether or not the drainage to the drainage pipe connected to the sewer system is no longer possible. In this case, step 102 is repeatedly executed until at least one of the fuel and domestic water is cut off or the drainage to the water distribution pipe is no longer possible. When the supply of the target object is cut off, the process proceeds to step S104.

[0071] In step S104, the CPU 11 derives or reads out the tentative predicted remaining amount of the object after a predetermined time has elapsed, and displays it on the display device 40 as the graphs K2, L2, and M2 shown in Fig. 3. After step S104, the process proceeds to step S106.

[0072] In step S106, CPU 11 acquires the remaining amount of the object. After step S106, the process proceeds to step S108, where it is determined whether the remaining amount of the object has been acquired a predetermined number of times. If the determination in step S108 is negative, step S106 is repeatedly executed until the remaining amount of the object has been acquired a predetermined number of times. If the determination in step S108 is positive, the process proceeds to step S110.

[0073] In step S110, the CPU 11 derives a predicted remaining amount of the object after a predetermined time has elapsed, updates the graphs K2, L2, and M2 shown in Fig. 3, and displays them on the display device 40. The CPU 11 also displays the measured remaining amount actual values ​​of the object as the graphs K1, L1, and M1 on the display device 40.

[0074] In step S112, the CPU 11 waits for a predetermined time to elapse, and then proceeds to step S114.

[0075] In step S114, CPU 11 derives and updates a predicted remaining amount of the object after a predetermined time has elapsed. CPU 11 also updates graphs K2, L2, and M2 shown in FIG. 3 using the updated predicted remaining amount and displays them on display device 40. CPU 11 also displays the measured remaining amount actual value of the object as graphs K1, L1, and M1 on display device 40. After step S114, the process proceeds to step S116.

[0076] In step S116, the CPU 11 determines whether or not the timing for ending the remaining amount prediction process has arrived, and ends the remaining amount prediction process if the determination is affirmative. This ending timing arrives, for example, when the user inputs an instruction to end the remaining amount prediction process via the input unit 14. If the determination is negative in step S116, the process returns to step 112 and waits for a predetermined time to elapse.

[0077] <Action and Effects> In the remaining amount prediction system 80 according to the embodiment of the present invention, the remaining amount of an object including at least one of stored domestic water and fuel is acquired at regular intervals. Then, the consumption rate of the object is derived from the remaining amount at each regular interval. From this consumption rate, the predicted remaining amount of the object is derived and displayed on the display device 40. Thus, in this embodiment, the predicted remaining amount of the object is derived from the "actual measured value" of the remaining amount of the object.

[0078] This improves the accuracy of predicting the remaining amount of the object compared to deriving a predicted value of the consumption amount of the object from the location of the occupants of the building, the number of occupants, etc. This makes it easier to consider the time when the object will run out and the amount of replenishment required to prevent it from running out for a certain period of time.

[0079] In addition, in the remaining amount prediction system 80 according to the embodiment of the present invention, the predicted remaining amount of the object is derived after acquiring a predetermined number or more of the remaining amount of the object. This improves the prediction accuracy of the remaining amount of the object compared to the case where prediction is made from less than the predetermined number of acquired values.

[0080] Furthermore, before the estimated remaining amount is derived, a tentative estimated remaining amount input in advance is displayed on the display device 40. Therefore, it is easier to increase the object's awareness of saving compared to a case where such a tentative estimated remaining amount is not displayed.

[0081] Furthermore, in the remaining amount prediction system 80 according to the embodiment of the present invention, the predicted remaining amount is intermittently corrected using the acquired remaining amount. As a result, the prediction accuracy of the remaining amount of the object improves as the elapsed time increases.

[0082] Furthermore, in the remaining amount prediction system 80 according to the embodiment of the present invention, acquisition of the remaining amount of the target object is started in response to a cutoff in the supply of the target object. This allows the remaining amount prediction to start more quickly after the occurrence of a disaster, compared to a case in which acquisition of the remaining amount is started in response to an instruction given by a human being.

[0083] <Other embodiments> In the above embodiment, the acquisition of the remaining amount of the object is started (step S106) in response to the detection of the interruption of the supply of the object (step S102), but the embodiment of the present invention is not limited to this. For example, the acquisition of the remaining amount of the object may be started in response to an instruction from the user of the remaining amount prediction system 80 via the input unit 14, or in response to the detection of shaking of a predetermined seismic intensity, acceleration, or displacement or more.

[0084] In addition, in the above embodiment, the predicted remaining amount is derived after obtaining a predetermined number or more of the remaining amounts of the object, and before deriving the predicted remaining amount, a tentative predicted remaining amount input in advance is displayed on the display device 40, but the embodiment of the present invention is not limited to this.

[0085] For example, such a tentative remaining amount does not have to be displayed on the display device 40. If the tentative remaining amount is not displayed on the display device 40, it is possible to display a predicted remaining amount of the object based only on the "actual measured value" of the remaining amount of the object. Therefore, it is possible to display a predicted remaining amount in an emergency and in accordance with the most recent consumption trend of the object.

[0086] In the above embodiment, for example, the hardware structure of the processing unit that executes each process of the acquisition unit 11A, the derivation unit 11B, and the output unit 11C may be any of the following various processors: As described above, the above various processors include a CPU, which is a general-purpose processor that executes software (programs) and functions as a processing unit, as well as a programmable logic device (PLD), which is a processor whose circuit configuration can be changed after manufacture such as an FPGA (Field-Programmable Gate Array), a dedicated electric circuit, which is a processor having a circuit configuration designed specifically for executing specific processes such as an ASIC (Application Specific Integrated Circuit), etc.

[0087] The processing unit may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA).The processing unit may also be configured with a single processor.

[0088] As an example of configuring the processing unit with one processor, first, there is a form in which one processor is configured with a combination of one or more CPUs and software, as represented by computers such as client and server, and this processor functions as the processing unit. Second, there is a form in which a processor is used that realizes the functions of the entire system including the processing unit with one IC (Integrated Circuit) chip, as represented by System On Chip (SoC), etc. In this way, the processing unit is configured using one or more of the above various processors as a hardware structure.

[0089] Furthermore, as the hardware structure of these various processors, more specifically, an electric circuit combining circuit elements such as semiconductor elements can be used. Thus, the present invention can be embodied in various forms. [Explanation of symbols]

[0090] 10 Remaining amount prediction device 11A Acquisition Department 11B Derivation part 11C output section 13A Remaining battery prediction program (program) 40 Display device 80 Remaining amount prediction system

Claims

1. an acquisition unit that acquires a remaining amount of an object including at least one of stored domestic water and fuel at regular intervals; a derivation unit that derives a consumption speed of the object from the remaining amount at each fixed time interval acquired by the acquisition unit, and derives a predicted remaining amount after a predetermined time has elapsed; an output unit that displays the predicted remaining amount on a display device; A remaining amount prediction system equipped with

2. The lead-out portion is After acquiring a predetermined number or more of the remaining amounts, the predicted remaining amount is derived; The output unit is before deriving the predicted remaining amount, a tentative predicted remaining amount is displayed on the display device; The remaining amount prediction system according to claim 1 .

3. The lead-out portion is intermittently correcting the predicted remaining amount using the obtained remaining amount; The remaining amount prediction system according to claim 1 or 2.

4. The acquisition unit is In response to the interruption of the supply of the object, acquisition of the remaining amount is started. The remaining amount prediction system according to claim 1 or 2.

5. Acquire the remaining amount of the object including at least one of domestic water and fuel at regular intervals; deriving a consumption speed of the object from the remaining amount at each fixed time interval acquired, and deriving a predicted remaining amount after a predetermined time has elapsed; displaying the predicted remaining amount on a display device; Remaining amount prediction method.

6. Computer, an acquisition unit that acquires a remaining amount of an object including at least one of domestic water and fuel at regular intervals; a derivation unit that derives a consumption speed of the object from the remaining amount at each fixed time interval acquired by the acquisition unit, and derives a predicted remaining amount after a predetermined time has elapsed; an output unit that displays the predicted remaining amount on a display device; A remaining amount prediction program that functions as a

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