Partial amount estimation support device, partial amount estimation support method, partial amount estimation support program and recording medium

Abstract

To provide a partial amount estimation support device which can easily estimate an amount of measurement object at each point.SOLUTION: A partial amount estimation support device includes a work time acquisition part, a total amount acquisition part, and a partial amount estimation part. The work time acquisition part acquires work time information at least at each one measurement point. The work time information is the information in which point identification information for identifying the measurement point is associated with work time of work regarding the measurement object at the measurement point. The total amount acquisition part acquires a total amount of a measurement object in a predetermined period. The partial amount estimation part estimates an amount of measurement object at each measurement point in the predetermined time, based on the work time at each measurement point and the total amount.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present disclosure relates to a portion amount estimation support device, a portion amount estimation support method, a portion amount estimation support program, and a recording medium. [Background technology]

[0002] Regarding garbage collection in a region, there is a demand for collecting data on the amount of garbage collected at each collection point in order to analyze the feasibility of separate collection at the administrative district level. Therefore, a system is known in which a sensor such as a weighing scale is provided in a collection box to measure the amount of collection (Patent Document 1). The recyclable resource collection device in Patent Document 1 includes a recyclable resource identification means for identifying the type of recyclable resource, a collection amount measurement means for measuring the amount of recyclable resource collected, and a communication line connection unit for connecting to a recyclable resource collection management device via a communication network. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2002-046805 A Summary of the Invention [Problem to be solved by the invention]

[0004] However, the system described in Patent Document 1 requires a sensor to be installed in each collection box, which is costly. Also, there is a problem that manually measuring the amount at each collection point is time-consuming and unrealistic. This problem is not limited to garbage collection, but also applies to fields that require measuring the amount at certain points and the total amount, such as a survey of the number of passengers at each bus stop.

[0005] Therefore, an object of the present disclosure is to provide a portion amount estimation support device, a portion amount estimation support method, a portion amount estimation support program, and a recording medium that are capable of easily estimating the amount of a measurement target at each measurement point. [Means for solving the problem]

[0006] In order to achieve the above object, the present disclosure provides a portion amount estimation support device, The apparatus includes an operation time acquisition unit, a total amount acquisition unit, and a partial amount estimation unit, The task time acquisition unit acquires task time information for at least one measurement point, The work time information is information in which point identification information for identifying the measurement point is associated with work time for a work related to a measurement target at the measurement point, The total amount acquisition unit acquires a total amount of the measurement target in a predetermined period of time, The partial amount estimating unit estimates the amount of the measurement target at each of the measurement points in the predetermined period based on the work time at each of the measurement points and the total amount.

[0007] The partial amount estimation support method of the present disclosure includes: The method includes a work time acquisition step, a total amount acquisition step, and a process amount estimation step, The task time acquisition step acquires task time information for at least one measurement point, The work time information is information in which point identification information for identifying the measurement point is associated with work time for a work related to a measurement target at the measurement point, The total amount acquisition step acquires a total amount of the measurement target in a predetermined period of time, The process quantity estimation step estimates the quantity of the measurement target at each of the measurement points in the predetermined period based on the working time at each of the measurement points and the total quantity.

[0008] The partial amount estimation support program of the present disclosure is The method includes a task time acquisition step, a total amount acquisition step, and a step amount estimation step, The task time acquisition step includes acquiring task time information for at least one measurement point, The work time information is information in which point identification information for identifying the measurement point is associated with work time for a work related to a measurement target at the measurement point, the total amount acquisition step acquires a total amount of the measurement target in a predetermined period of time; the procedure amount estimation step estimates an amount of the measurement target at each of the measurement points in the predetermined period based on the work time at each of the measurement points and the total amount; The program is for causing a computer to execute each of the above procedures.

[0009] The recording medium of the present disclosure includes: The method includes a task time acquisition step, a total amount acquisition step, and a step amount estimation step, The task time acquisition step includes acquiring task time information for at least one measurement point, The work time information is information in which point identification information for identifying the measurement point is associated with work time for a work related to a measurement target at the measurement point, the total amount acquisition step acquires a total amount of the measurement target in a predetermined period of time; the procedure amount estimation step estimates an amount of the measurement target at each of the measurement points in the predetermined period based on the work time at each of the measurement points and the total amount; A computer-readable recording medium having recorded thereon a program for causing a computer to execute each of the above procedures. Effect of the Invention

[0010] According to the present disclosure, the amount of a measurement target at each measurement point can be easily estimated. [Brief description of the drawings]

[0011] [Figure 1] FIG. 1 is a block diagram showing a configuration of an example of a portion amount estimation support device according to the present disclosure. [Diagram 2] FIG. 2 is a block diagram showing an example of a hardware configuration of the portion amount estimation support device of the present disclosure. [Diagram 3] FIG. 3 is a flowchart showing an example of processing in the portion amount estimation support device of the present disclosure. [Figure 4]FIG. 4 is a block diagram showing a configuration of an example of a portion amount estimation support device according to the present disclosure. [Diagram 5] FIG. 5 is a flowchart showing an example of processing in the portion amount estimation support device of the present disclosure. [Figure 6] FIG. 6 is a block diagram showing a configuration of an example of a portion amount estimation support device according to the present disclosure. [Figure 7] FIG. 7 is a flowchart showing an example of processing in the portion amount estimation support device of the present disclosure. [Figure 8] FIG. 8 is a block diagram showing a configuration of an example of a portion amount estimation support device according to the present disclosure. [Figure 9] FIG. 9 is a flowchart showing an example of processing in the portion amount estimation support device of the present disclosure. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] In the present disclosure, the "measurement target" is not particularly limited, and may be, for example, a living organism such as a human being, or an object. Specific examples of the measurement target include garbage disposed in a garbage dump, a person waiting at a transportation stop, etc.

[0013] In this disclosure, a "measurement point" refers to, for example, a point where work related to the measurement target is performed. The work may be work performed on the measurement target, or work performed by the measurement target. As a specific example, if the measurement target is garbage, the work is garbage collection, and if the measurement target is a person (passenger) waiting at a bus stop, the work is boarding and disembarking the transportation facility. Specific examples of the measurement point include garbage collection points and transportation stops (bus stops, train stations, etc.).

[0014] The present disclosure can be particularly suitably used, for example, for estimating the amount of garbage (measurement target) collected at each garbage collection point (point) from the total amount collected. However, the present disclosure is not limited thereto, and can also be used, for example, for estimating the number of passengers (measurement target) who boarded at each bus stop (point) from the total number of passengers.

[0015] Hereinafter, an embodiment of the present disclosure will be described with reference to the drawings. The present disclosure is not limited to the following embodiment. In each of the drawings, the same parts are given the same reference numerals. In addition, the description of each embodiment can be mutually incorporated unless otherwise specified, and the configurations of each embodiment can be combined unless otherwise specified. Can be obtained.

[0016] [Embodiment 1] Fig. 1 is a block diagram showing an example of a configuration of a partial amount estimation support device 10 (hereinafter also referred to as "this device") according to this embodiment. As shown in Fig. 1, this device 10 includes an activity time acquisition unit 11, a total amount acquisition unit 12, and a partial amount estimation unit 13. In addition, although not shown, this device 10 may include, for example, an input unit, an output unit, a display unit, and / or a storage unit.

[0017] The device 10 may be, for example, a single device including each of the above-mentioned units, or a device to which each of the above-mentioned units can be connected via a communication line network. The device 10 may be connected to an external device described later via the communication line network. The communication line network is not particularly limited, and a known network may be used, for example, wired or wireless. Examples of the communication line network include an Internet line, a World Wide Web (WWW), a telephone line, a Local Area Network (LAN), a Storage Area Network (SAN), a Delay Tolerant Networking (DTN), a Low Power Wide Area (LPWA), and a Local 5G (L5G). Examples of wireless communication include Wi-Fi (registered trademark), Bluetooth (registered trademark), a Local 5G, and a LPWA. Examples of the wireless communication may include a form in which each device directly communicates with each other (Ad Hoc communication), an infrastructure (infrastructure communication), and an indirect communication via an access point. The device 10 may be incorporated into a server as a system, for example. Furthermore, the present device 10 may be, for example, a personal computer (PC, for example, desktop type or notebook type) in which the program of the present disclosure is installed, a smartphone, a tablet terminal, etc. The present device 10 may be in the form of cloud computing or edge computing, for example, in which at least one of the above-mentioned units is on a server and the other units are on a terminal.

[0018] 2 illustrates a block diagram of a hardware configuration of the present device 10. The present device 10 includes, for example, a central processing unit (CPU, GPU, etc.) 101, a memory 102, a bus 103, a storage device 104, an input device 105, an output device 106, a communication device 107, etc. Each part of the present device 10 is connected to each other via the bus 103 by each interface (I / F).

[0019] The central processing unit 101 cooperates with other components through a controller (such as a system controller or an I / O controller) and controls the entire device 10. In the device 10, the central processing unit 101 executes, for example, the program disclosed herein and other programs, and also reads and writes various information. Specifically, for example, the central processing unit 101 functions as a task time acquisition unit 11, a total amount acquisition unit 12, and a partial amount estimation unit 13. The device 10 may include, as a computing device, other computing devices such as a CPU, a GPU (Graphics Processing Unit), an APU (Accelerated Processing Unit), or a combination of these.

[0020] The bus 103 can also be connected to, for example, an external device. Examples of the external device include a user terminal, an external storage device (external database, etc.), a printer, an external input device, an external display device, an external imaging device, etc. The present device 10 can be connected to an external network (the above-mentioned communication line network) by, for example, a communication device 107 connected to the bus 103, and can also be connected to other devices via the external network.

[0021] An example of the memory 102 is a main memory (primary storage device). When the central processing unit 101 performs processing, the memory 102 reads various operation programs, such as the program of the present disclosure, stored in the storage device 104 described below, and the central processing unit 101 receives data from the memory 102 and executes the program. The main memory is, for example, a RAM (random access memory). The memory 102 may also be, for example, a ROM (read only memory).

[0022] The storage device 104 is also called an auxiliary storage device, for example, in contrast to the main memory (primary storage device). As described above, the storage device 104 stores an operating program including the program of the present disclosure. The storage device 104 may be, for example, a combination of a recording medium and a drive that reads and writes from the recording medium. The recording medium is not particularly limited, and may be, for example, an internal or external type, such as a hard disk (HD), CD-ROM, CD-R, CD-RW, MO, DVD, flash memory, or memory card. The storage device 104 may be, for example, a hard disk drive (HDD) in which the recording medium and the drive are integrated, or a solid state drive (SSD).

[0023] In the present device 10, the memory 102 and the storage device 104 can store various information such as log information, information acquired from an external database (not shown) or an external device, information generated by the present device 10, and information used when the present device 10 executes processing. In this case, the memory 102 and the storage device 104 may store, for example, the above-mentioned information of the user of the present device. Note that at least a part of the information may be stored, for example, in an external server other than the memory 102 and the storage device 104, or may be distributed and stored in a plurality of terminals using blockchain technology or the like. In addition, when the present device 10 includes the storage unit, for example, the memory 102 and the storage device 104 function as the storage unit. The storage unit can store, for example, work time information, total amount, amount of measurement target, total work time, work amount per unit time, worker identification information, worker information, target information, measurement point position information, work reference position information, threshold value, etc.

[0024] The device 10 further includes, for example, an input device 105 and an output device 106. The input device 105 may be, for example, a pointing device such as a touch panel, a track pad, or a mouse; a keyboard; an imaging means such as a camera or a scanner; a card reader such as an IC card reader or a magnetic card reader; and an audio input means such as a microphone. The output device 106 may be, for example, a display device such as an LED display or a liquid crystal display; an audio output device such as a speaker; a printer; or the like. In the first embodiment, the input device 105 and the output device 106 are configured separately, but the input device 105 and the output device 106 may be configured as an integrated device, such as a touch panel display.

[0025] Next, an example of the partial amount estimation support method of this embodiment will be described with reference to the flowchart of Fig. 3. The partial amount estimation support method of this embodiment is implemented as follows, for example, using the device 10 of Fig. 1 or Fig. 2. Note that the partial amount estimation support method of this embodiment is not limited to use of the device 10 of Fig. 1 or Fig. 2.

[0026] The work time acquisition unit 11 acquires work time information for at least one measurement point (S1, work time acquisition step). The work time information is information that links point identification information that identifies the measurement point with work time for work related to the measurement target at the measurement point. The point identification information is, for example, information that identifies the measurement point, and includes information such as the ID, address, and name of the measurement point. When the measurement target is garbage at a garbage collection point, the work time is, for example, the time spent on garbage collection (collection) work at the garbage collection point (measurement point). The work time information may include information on the recording date and time. The recording date and time information is information on the date and time when the work time was recorded at the measurement point (for example, garbage collection date and time). The work time information may include attribute information of the measurement point. The attribute information of the measurement point may be, for example, information on the measurement point (e.g., identification information of a garbage collection site, an address, an area, the type of garbage to be collected, etc.), identification information of a worker at the measurement point (e.g., identification information of a garbage collector), or information on a measurement target at the measurement point (e.g., information on the type of measurement target). The work time acquisition unit 11 may acquire the work time information from, for example, a device that measured the work time (e.g., a terminal of a worker), or may acquire the work time information from a recording medium on which the work time information is recorded. The work time acquisition unit 11 may record the acquired work time information in a memory unit of the present device 10. In this case, the memory unit that records the work time information is also referred to as, for example, a work time memory unit.

[0027] Next, the total amount acquiring unit 12 acquires the total amount of the measurement objects in a predetermined period (S2, total amount acquiring step). The total amount is, for example, information measured on the total amount of the measurement objects present at a plurality of points in a predetermined period. The unit of the total amount is not particularly limited, and may be, for example, the number, the volume, or the weight. The predetermined period is not particularly limited, and may be set appropriately according to, for example, the type of the measurement object and the purpose of use of the present device 10. The predetermined period may be, for example, in hours, days, months, or years. The total amount acquiring unit 12 may acquire the total amount inputted to the input device 105, or may acquire the total amount from an external device via a communication line network. The external device may be, for example, a terminal of a user of the present device 10, a measuring device for the total amount, or the like. The total amount acquiring unit 12 may store the acquired total amount in, for example, the memory 102, the storage device 104, or an external storage device outside the present device 10. In this case, the storage device that stores the total amount is also referred to as a total amount storage unit, for example.

[0028] The partial amount estimation unit 13 estimates the amount of the measurement object for each measurement point in the predetermined period based on the work time for each measurement point and the total amount (S3, partial amount estimation step). The partial amount estimation unit 13 may estimate the amount of the measurement object for each measurement point by distributing the total amount based on the ratio of the work time for each measurement point, or may estimate the amount of the measurement object for each measurement point based on the work time for each measurement point and the work amount per unit time. Specifically, the partial amount estimation unit 13, for example, first calculates a total work time by summing up the work times for each measurement point in the predetermined period. Next, calculates the work amount per unit time based on the total work time and the total amount. The work amount per unit time can be calculated by dividing the total amount by the total work time. Then, the partial amount estimation unit 13 can estimate the amount of the measurement object at the measurement point by multiplying the work time for each measurement point by the work amount per unit time. The partial amount estimation unit 13 may store the amount of the measurement target at the measurement point in the memory 102, the storage device 104, or an external storage device outside the device 10. In this case, the partial amount estimation unit 13 may store the amount of the measurement target and the point identification information in association with each other. In this case, the storage device that stores the total amount is also referred to as a measurement point amount storage unit, for example.

[0029] The device 10 may, for example, store the estimated amount of the measurement target at the point in a storage unit or output the amount. The output may be, for example, to an output device 106 (e.g., a display) of the device 10 or to an external device outside the device 10.

[0030] A specific example of the use of the device 10 will be described below. In the following description, the measurement target is garbage disposed at a garbage collection point. Also, garbage collection points A, B, and C are taken as examples of the at least one measurement point, and a case will be described in which a user of the device 10 (a collection worker who collects garbage from the garbage collection points) collects garbage from the garbage collection points A, B, and C and estimates the amount of garbage disposed at each of the garbage collection points A, B, and C, but the present disclosure is not limited to the following examples in any way.

[0031] A garbage collector, who is a user of the device 10, collects garbage (measurement target) discarded at at least one garbage collection point (measurement point). At this time, the garbage collection truck is stopped at each garbage collection point, garbage collection work is performed, and the time (work time) until collection is completed is measured, and the measured work time and work time information linked to the identification information of the garbage collection point (point identification information: ID, name, address, etc.) are recorded. Specific examples of the recorded work time information are shown in Table 1 below, but the present disclosure is not limited to the following examples. The record of the work time is not particularly limited, and may be recorded, for example, on a terminal (for example, a smartphone) owned by the garbage collection worker, or may be recorded on an on-board device of the garbage collection truck (for example, a PC, a tablet terminal, etc.). A storage unit that stores a pair (work time information) of the work time and the identification information of the garbage collection point is also called, for example, a work time recording unit. [Table 1]

[0032] The device 10 acquires the work time information for collection point IDs: A, B, and C, and adds up the work times at each waste collection point on the same date and time (August 1, 2023) to calculate the total work time (32+17+73=122 seconds).

[0033] After completing collection work at all garbage collection points on the collection route, the worker measures and records the total weight of collected garbage (total amount, for example, 360 kg) at a garbage incineration facility or the like. The device 10 acquires the total amount and calculates the amount of garbage collected per second (amount of work per unit time) based on the total work time and the total amount (360 kg / 122 seconds = 2.951 kg / second). Then, the amount of garbage collected at each garbage collection point is estimated based on the work time at each collection point and the amount of garbage collected per second. Table 2 below shows specific examples of the estimated amount of garbage collected at each garbage collection point, but the present disclosure is not limited to the following examples. [Table 2]

[0034] In the present embodiment, the case where S1 to S3 are executed in sequence has been described as an example, but the present disclosure is not limited to the above example. In the present disclosure, S1 and S2 may be executed in a process upstream of S3. S1 and S2 may be executed simultaneously or sequentially, and in the latter case, the order of execution is not particularly limited and may be any order.

[0035] The partial amount estimation support device of this embodiment can estimate the amount of the measurement object at each measurement point in a predetermined period based on, for example, work time information for at least one measurement point acquired by a work time acquisition unit and the total amount of the measurement object in a predetermined period acquired by a total amount acquisition unit. This makes it possible to easily estimate the amount of the measurement object at each measurement point.

[0036] [Embodiment 2] The second embodiment is another example of the portion amount estimation support device of the present disclosure.

[0037] FIG. 4 is a block diagram showing an example of the configuration of the portion amount estimation support device 10A. As shown in FIG. 4, the portion amount estimation support device 10A includes an operation time correction unit 14 in addition to the configuration of the portion amount estimation support device 10 of the first embodiment. The hardware configuration of the portion amount estimation support device 10A is the same as that of the portion amount estimation support device 10 of FIG. 2, except that the central processing unit 101 has the configuration of the portion amount estimation support device 10A of FIG. 4 instead of the configuration of the portion amount estimation support device 10 of FIG. 1. The processing of the operation time correction unit 14 will be described below. The processing of the operation time correction unit 14 can be appropriately inserted at any position in the flowchart of FIG. 3 described in the first embodiment, for example, but is preferably inserted after S1 and before S3 as shown in FIG. 5.

[0038] The task time acquisition unit 11 acquires, for at least one measurement point, the task time information and the worker identification information that identifies the worker at the measurement point in association with each other (S1, task time acquisition step). The worker identification information is not particularly limited as long as it is information that can identify the worker, and examples of the worker identification information include name, nickname, ID, password, email address, telephone number, IP address, MAC address, device specific information of the terminal (serial number of the terminal, identification number such as International Mobile Equipment Identifier, etc.). The worker may be, for example, a single individual or a team including multiple people. Step S1 can be performed in the same manner as S1 in the first embodiment, except that the task time information and the worker identification information are acquired in association with each other.

[0039] The task time correction unit 14 calculates a corrected task time by correcting the task time based on the worker information (S11, task time correction step). The worker information includes information in which the worker identification information is linked to a time correction coefficient. The time correction coefficient is, for example, a coefficient for correcting the task time determined based on the task efficiency of the worker. The time correction coefficient may be, for example, manually set to an arbitrary value, or may be calculated based on the task performance of the worker. When the time correction coefficient is calculated based on the task performance, for example, the time correction coefficient can be calculated by multiple regression analysis in which the task time of each worker is an explanatory variable and the task amount of each worker is an objective variable. The calculation method of the time correction coefficient is not limited to multiple regression analysis, and may be calculated using a known calculation method for an optimization problem, such as linear programming or simulated annealing (SA). The worker information may be, for example, information generated by the device 10 or information generated outside the device 10. The worker information may be recorded, for example, in the storage unit of the device 10, or may be recorded in an external storage device outside the device 10. The work time correction unit 14 can calculate the corrected work time, for example, based on the worker identification information linked to the work time information, by multiplying the work time information by the time correction coefficient calculated based on the work ability as a coefficient.

[0040] The partial amount estimation unit 13 estimates the amount of the measurement target at each measurement point in the predetermined period based on the corrected operation time at each measurement point and the total amount (S3, partial amount estimation step). The S3 step can be performed in the same manner as S3 in the first embodiment, except that the corrected operation time is used instead of the operation time information.

[0041] A specific example of the use of the device 10 will be described below. In the following description, the measurement target is garbage disposed at a garbage collection point. Also, garbage collection points A, B, and C are taken as examples of the at least one measurement point, and a case will be described in which a user of the device 10 (a collection worker who collects garbage from the garbage collection points) collects garbage from the garbage collection points A, B, and C and estimates the amount of garbage disposed at each of the garbage collection points A, B, and C, but the present disclosure is not limited to the following examples in any way.

[0042] First, a specific example of worker information when the collection target is garbage discarded at a garbage collection site will be described using Table 3 below. As shown in Table 3, information on pairs of work time and total collection amount for each worker identification information is prepared by date. Then, multiple regression analysis is performed with each worker's work time as an explanatory variable and the total collection amount as a response variable to calculate a time correction coefficient. The calculated time correction coefficient for each worker (team) is shown in Table 4 below. [Table 3] [Table 4]

[0043] Next, the device 10A obtains the work time information of the collection points IDs: A, B, and C in association with the worker identification information of each collection point. An example of the obtained work time information and worker identification information is shown in Table 5 below, but the present disclosure is not limited to the following example. Next, the work time shown in Table 5 is corrected based on the time correction coefficient shown in Table 4. Specifically, the device 10A multiplies the work time of 32 seconds at the garbage collection point A by the time correction coefficient of 1.2 for worker A to calculate the corrected work time of the garbage collection point A (38.4 seconds). The device 10A multiplies the work time of 17 seconds at the garbage collection point B by the time correction coefficient of 1.2 for worker A to calculate the corrected work time of the garbage collection point B (20.4 seconds). The device 10A multiplies the work time of 73 seconds at the garbage collection point C by the time correction coefficient of 1.5 for the worker B to calculate the corrected work time at the garbage collection point C (109.5 seconds). [Table 5]

[0044] Next, the device 10A calculates a total corrected work time (38.4 seconds + 20.4 seconds + 109.5 seconds = 168.3 seconds) by adding up the corrected work times. The device 10A obtains the total amount (360 kg), and calculates the amount of garbage collected per second (amount of work per unit time) based on the total corrected work time and the total amount (360 kg / 168.3 seconds = 2.139 kg / second). Then, the amount of garbage collected at each garbage collection point is estimated based on the corrected work time at each collection point and the amount of garbage collected per second. Table 6 below shows specific examples of the estimated amount of garbage collected at each garbage collection point, but the present disclosure is not limited to the following examples. [Table 6]

[0045] In the present embodiment, the case where S1, S11, S2, and S3 are executed in sequence has been described as an example, but the present disclosure is not limited to the above example. In the present disclosure, S1, S11, and S2 may be executed in a process upstream of S3. S1, S11, and S2 may be executed, for example, simultaneously or sequentially, and in the latter case, the order of execution is not particularly limited and may be any order.

[0046] The partial amount estimation support device of this embodiment can, for example, correct the acquired work time based on worker information by the work time correction unit, and estimate the amount of the measurement object for each measurement point based on the corrected work time for each measurement point and the total amount. When the measurement object is garbage discarded at a garbage collection site, for example, the garbage collection time (work time) increases in correlation with the amount of garbage. On the other hand, when the work time is measured by each of multiple workers, even if the amount of garbage is the same, the collection time differs depending on the collection efficiency of the worker. According to the partial amount estimation support device of this embodiment, for example, the work time can be corrected by a time correction coefficient determined based on the work efficiency of the worker, so that the influence of the variation in the work time of each worker can be suppressed, and the amount of the measurement object for each measurement point can be easily estimated with higher accuracy.

[0047] [Embodiment 3] The third embodiment is another example of the portion amount estimation support device of the present disclosure.

[0048] FIG. 6 is a block diagram showing an example of the configuration of the portion amount estimation support device 10B. As shown in FIG. 6, the portion amount estimation support device 10B includes a target information acquisition unit 15 in addition to the configuration of the portion amount estimation support device 10 of the first embodiment. The hardware configuration of the portion amount estimation support device 10B is the same as that of the portion amount estimation support device 10 of FIG. 2, except that the central processing unit 101 has the configuration of the portion amount estimation support device 10B of FIG. 6 instead of the configuration of the portion amount estimation support device 10 of FIG. 1. The processing of the target information acquisition unit 15 will be described below. The processing of the target information acquisition unit 15 can be appropriately inserted at any position in the flowchart of FIG. 3 described in the first embodiment, for example, but is preferably inserted after S3 as shown in FIG. 7.

[0049] First, steps S1 to S3 are carried out in the same manner as steps S1 to S3 in the first embodiment, and the amount of the measurement target at each measurement point is estimated.

[0050] The target information acquisition unit 15 acquires target information including the types of targets contained in the measurement target and their ratios (S21, target information acquisition step). The ratios in the target information are not particularly limited and any ratio can be set. Furthermore, the target information acquisition unit 15 may, for example, further acquire ratio correction information for correcting the types of targets contained in the measurement target and their ratios for each of the measurement points. The ratio correction information is, for example, index information indicating the bias in the amount of the types of targets for each of the measurement points confirmed by the worker.

[0051] The partial amount estimation unit 13 estimates the amount of each type of object for each measurement point based on, for example, the estimated amount of the measurement object and the object information (S22, partial amount estimation step). The partial quantity estimation unit 13 can estimate the quantity of each type of object for each measurement point, for example, by apportioning the estimated quantity of measurement objects according to the ratio of the types of objects contained in the object information and their ratios.

[0052] In the present embodiment, the case where S1, S2, S3, S21, and S22 are executed in sequence has been described as an example, but the present disclosure is not limited to the above example. In the present disclosure, S1 and S2 may be executed in a process upstream of S3, and S21 and S22 may be executed in a process downstream of S3. S1 and S2 may be executed simultaneously or sequentially, and in the latter case, the order of execution is not particularly limited and may be any order.

[0053] When the measurement target is garbage discarded at a garbage collection site, for example, even if the volume of the garbage is the same, the weight differs depending on the specific gravity of the garbage. The partial amount estimation support device of this embodiment can estimate the amount of each type of target at each measurement point based on the target information. Therefore, according to this embodiment, for example, it is also possible to estimate the collected amount of each type of garbage discarded at a garbage collection site.

[0054] [Embodiment 4] The fourth embodiment is another example of the portion amount estimation support device of the present disclosure.

[0055] Fig. 8 is a block diagram showing an example of a configuration of a portion amount estimation support device 10C. As shown in Fig. 8, the portion amount estimation support device 10C includes a position information acquisition unit 16 and an operation time correction unit 14 in addition to the configuration of the portion amount estimation support device 10 of the first embodiment. The hardware configuration of the portion amount estimation support device 10C is the same as that of the portion amount estimation support device 10 of Fig. 2, except that the central processing unit 101 has the configuration of the portion amount estimation support device 10C of Fig. 8 instead of the configuration of the portion amount estimation support device 10 of Fig. 1. The following describes the processing of the location information acquisition unit 16 and the work time correction unit 14. The processing of the location information acquisition unit 16 and the work time correction unit 14 can be inserted at any position in the flowchart of Fig. 3 described in the first embodiment, but is preferably inserted after S1 and before S3, as shown in Fig. 5.

[0056] S1 and S2 are carried out in the same manner as in the first embodiment.

[0057] Next, the position information acquisition unit 16 acquires measurement point position information and work reference position information (S31, position information acquisition step). The measurement point position information is not particularly limited as long as it is information indicating the position of the measurement point, and examples thereof include an address, a GPS (Global Positioning System) information coordinate, and the like. The work reference position information is, for example, information on a reference position at the measurement point where the worker starts work. When the collection target is garbage discarded at a garbage collection site, the measurement point position information is, for example, the address of the garbage collection site, and the work reference position information is, for example, the position information (for example, GPS coordinates) of a garbage collection vehicle. The measurement point position information and the work reference position information may be, for example, recorded in the storage unit of the present device 10, or may be recorded in an external storage device outside the present device 10.

[0058] The task time correction unit 14 calculates the travel distance at the measurement point from the measurement point position information and the task reference position information (S32A), estimates the travel time at the measurement point based on the travel distance (S32B), and calculates a corrected task time by correcting the task time based on the travel time (S32C) (task time correction step). The task time correction unit 14 can calculate the travel distance by using a known calculation method for the relative distance between two points using, for example, spherical trigonometry. The calculation method for the travel distance is not limited to the method using spherical trigonometry. The task time correction unit 14 can estimate the travel time of the worker at the measurement point by, for example, calculating the travel distance for each measurement point and multiplying the calculated travel distance by a predetermined travel speed. The predetermined travel speed is not particularly limited, and can be set to any speed, for example. Specific examples include, but are not limited to, 1 m / sec, 2 m / sec, 3 m / sec, 4 m / sec, 5 m / sec, 10 m / sec, etc. Furthermore, the task time correction unit 14 can calculate a corrected task time by, for example, subtracting the travel time from the task time at the measurement point. The task time correction unit 14 may, for example, subtract the travel time multiple times. This makes it possible to correct the travel time for, for example, the amount of travel time that the worker travels back and forth.

[0059] The partial amount estimation unit 13 estimates the amount of the measurement target at each measurement point in the predetermined period based on the corrected operation time at each measurement point and the total amount (S3, partial amount estimation step). The S3 step can be performed in the same manner as S3 in the first embodiment, except that the corrected operation time is used instead of the operation time information.

[0060] A specific example of the use of the device 10C will be described below. In the following description, the measurement target is garbage disposed at a garbage collection point. In addition, garbage collection points A, B, and C are taken as examples of the at least one measurement point, and a case will be described in which a user of the device 10 (a collection worker who collects garbage from the garbage collection points) collects garbage from the garbage collection points A, B, and C and estimates the amount of garbage disposed at each of the garbage collection points A, B, and C, but the present disclosure is not limited to the following examples.

[0061] First, using Table 7 below, the correction of the work time when the collection target is garbage discarded at a garbage collection point will be described. First, for each collection point ID, the device 10C calculates the distance from the work reference position to the collection point based on the location information of the collection point and the location information of the garbage collection truck during garbage collection work. Then, the device 10C calculates a corrected work time for each collection point ID: A, B, C by subtracting the travel time obtained by multiplying the work distance by the movement speed of the worker (1 m / s) from the work time. Table 7 below shows specific examples of the corrected work time calculated by the device 10C, but the present disclosure is not limited to the following examples. [Table 7]

[0062] Next, the device 10C calculates a total corrected work time (20 seconds + 13 seconds + 67 seconds = 100 seconds) by adding up the corrected work times. Next, the device 10C obtains the total amount (100 kg), and calculates the amount of garbage collected per second (amount of work per unit time) based on the total corrected work time and the total amount (100 kg / 100 seconds = 1 kg / second). Then, the amount of garbage collected at each garbage collection point is estimated based on the corrected work time at each collection point and the amount of garbage collected per second. Table 8 below shows specific examples of the estimated amount of garbage collected at each garbage collection point, but the present disclosure is not limited to the following examples. [Table 8]

[0063] In the present embodiment, the case where S1, S31, S32 (S32A, S32B, S32C), S2, and S3 are executed in sequence has been described as an example, but the present disclosure is not limited to the above example. In the present disclosure, S1, S31, S32 (S32A, S32B, S32C), and S2 may be executed in a process upstream of S3. S1, S31, S32 (S32A, S32B, S32C), and S2 may be executed simultaneously or sequentially, for example. In the latter case, the order of execution is not particularly limited and may be any order.

[0064] The partial amount estimation support device of this embodiment, for example, calculates a travel distance at the measurement point from the measurement point position information and work reference position information acquired by a position information acquisition unit, estimates a travel time at the measurement point based on the travel distance, calculates a corrected work time by correcting the work time based on the travel time, and the partial amount estimation unit can estimate the amount of measurement target at each measurement point in the predetermined period based on the corrected work time for each measurement point and the total amount. When estimating the amount of garbage collection from the work time, by subtracting the travel time from the work time, it is possible to suppress the influence of fluctuations in work time that affect the location of a garbage collection site, for example, and to more accurately estimate the amount of garbage collection.

[0065] (Modification) Next, a modified example of the process of the portion amount estimation support device 10C will be described. In the modified portion amount estimation support device 10C, for example, when the estimated amount of the measurement object at each measurement point exceeds a threshold, the task time correction unit 14 calculates a corrected travel distance by correcting the travel distance, estimates a corrected travel time based on the corrected travel distance, and calculates a recorrected task time by recalculating the task time based on the corrected travel time, and the portion amount estimation unit 13 reestimates the amount of the measurement object at each measurement point in the predetermined period based on, for example, the recorrected task time at each measurement point and the total amount.

[0066] In a modified example, the work time correction unit 14 can determine whether the amount of the measurement object for each measurement point estimated in S3 exceeds a threshold. The threshold can be set to, for example, an arbitrary value. When the measurement object is garbage discarded in a garbage collection site, the threshold can be, for example, the amount that a worker can carry in one round trip from the work reference position to the measurement point position information.

[0067] When the task time correction unit 14 determines that the amount of the measurement target exceeds the threshold, it calculates a corrected moving distance by correcting the moving distance. For example, the task time correction unit 14 can calculate the corrected moving distance by increasing the number of round trips made by the worker for the moving distance. The number of round trips is not particularly limited and may be one, or two or more. The task time correction unit 14 can calculate the corrected moving distance by multiplying, for example, the distance from the task reference position to the measurement point position information by 2n for the number of round trips n. Then, the task time correction unit 14 recalculates the task time based on the corrected moving distance to calculate the re-corrected task time. The calculation of the re-corrected task time is the same as that of S32C, except that the corrected moving distance is used instead of the moving distance.

[0068] The partial amount estimation unit 13 re-estimates the amount of the measurement target for each measurement point in the predetermined period, for example, based on the re-corrected operation time for each measurement point and the total amount. The processing of the partial amount estimation unit 13 in the modified example can be performed in the same manner as S3 in the first embodiment, except that the re-corrected operation time is used instead of the operation time or the corrected operation time.

[0069] The modified device 10C can perform calculations recursively by repeating the processes by the operation time correction unit 14 and the partial amount estimation unit 13 until the amount of the measurement target at each measurement point does not exceed the threshold. This enables estimation that reflects the actual work performed by the worker at the measurement point, and can estimate the amount of the measurement target at each measurement point with higher accuracy.

[0070] A specific example will be given to explain the processing of the operation time correction unit 14 and the partial amount estimation unit 13 in the modified example. In the following example, a case will be explained in which the threshold value indicating the set collection amount per round trip by a worker is 50 kg, and the value shown in Table 8 above is calculated as the estimated collection amount. As shown in Table 9 below, the estimated collection amount for collection point ID: C is 67 kg, which exceeds the threshold value of 50 kg. Therefore, the device 10C in the modified example recalculates the estimated collection amount. [Table 9]

[0071] The device 10C calculates a corrected travel distance by gradually increasing the number of round trips made by the worker at the collection point ID: C, where the estimated collection amount exceeds the threshold, from 1, and estimates a corrected travel time based on the corrected travel distance.The device 10C then calculates a total corrected work time by adding up the corrected travel time at collection point ID: C and the work times at collection points ID: A and B, and calculates the amount of garbage collected per second (work amount per unit time) based on the total work time and the total amount (100 kg). Then, recalculation is performed until the estimated collection amount at each collection point meets the threshold value. At this time, the device 10C also recalculates the threshold value based on the number of round trips each time it recalculates (for example, if the threshold value for one round trip is 50 kg, the threshold value for two round trips is 100 kg, the threshold value for three round trips is 150 kg, and so on, increasing the threshold value according to the number of round trips). Table 10 below shows specific examples of the estimated collection amount at each garbage collection point after recalculation, but the present disclosure is not limited to the following examples. [Table 10]

[0072] [Embodiment 5] The program of this embodiment is a program for causing a computer to execute each step of the above-mentioned partial amount estimation support method. Specifically, the program of this embodiment is a program for causing a computer to execute a task time acquisition procedure, a total amount acquisition procedure, and a partial amount estimation procedure.

[0073] The task time acquisition step includes acquiring task time information for at least one measurement point, The work time information is information in which point identification information for identifying the measurement point is associated with work time for a work related to a measurement target at the measurement point, the total amount acquisition step acquires a total amount of the measurement target in a predetermined period of time; The partial amount estimation step estimates an amount of the measurement target at each of the measurement points in the predetermined period based on the work time at each of the measurement points and the total amount.

[0074] The program of this embodiment can also be said to be a program that causes a computer to function as a task time acquisition procedure, a total amount acquisition procedure, and a partial amount estimation procedure.

[0075] The program of this embodiment can be implemented by using the description of the portion amount estimation support device and the portion amount estimation support method of the present disclosure. In each of the steps, for example, the "step" can be read as "processing". In addition, the program of this embodiment may be recorded in a computer-readable recording medium. The recording medium is, for example, a non-transitory computer-readable storage medium. The recording medium is, for example, a non-transitory computer-readable storage medium. The recording medium is, for example, a non-transitory computer-readable storage medium. The recording medium is not particularly limited, and examples thereof include random access memory (RAM), read-only memory (ROM), hard disk (HD), flash memory (for example, SSD (Solid State Drive), USB flash memory, SD / SDHC card, etc.), optical disk (for example, CD-R / CD-RW, DVD-R / DVD-RW, BD-R / BD-RE, etc.), magneto-optical disk (MO), floppy (registered trademark) disk (FD), etc. Furthermore, the organizational philosophy penetration support program of this embodiment (also referred to as, for example, a programming product or an organizational philosophy penetration support program product) may be in a form distributed from an external computer, for example. The "distribution" may be, for example, distribution via a communication network, or distribution via a device connected by wire. The organizational philosophy penetration support program of this embodiment may be installed and executed on the device to which it is distributed, or may be executed without being installed.

[0076] Although the present disclosure has been described above with reference to the embodiments, the present disclosure is not limited to the above-mentioned embodiments. Various modifications that can be understood by a person skilled in the art can be made to the configuration and details of the present disclosure within the scope of the present disclosure. Furthermore, each embodiment can be appropriately combined with other embodiments.

[0077] <Additional Notes> A part or all of the above-described embodiments can be described as follows, but is not limited to the following. (Appendix 1) The apparatus includes an operation time acquisition unit, a total amount acquisition unit, and a partial amount estimation unit, The task time acquisition unit acquires task time information for at least one measurement point, The work time information is information in which point identification information for identifying the measurement point is associated with work time for a work related to a measurement target at the measurement point, The total amount acquisition unit acquires a total amount of the measurement target in a predetermined period of time, The portion amount estimation unit estimates the amount of the measurement target at each of the measurement points in the predetermined period based on the work time at each of the measurement points and the total amount. (Appendix 2) The partial amount estimator is Calculating a total operation time by adding up the operation times for each of the measurement points in the predetermined period; Calculating a work amount per unit time based on the total work time and the total amount; 2. The partial amount estimation support device according to claim 1, further comprising: a portion estimating unit that estimates an amount of a measurement target at each of the measurement points based on the work time for each of the measurement points and the work amount per unit time. (Appendix 3) Including a work time correction section, the task time acquisition unit acquires, for at least one measurement point, the task time information and worker identification information that identifies a worker at the measurement point in association with each other; The task time correction unit calculates a corrected task time by correcting the task time based on worker information, The worker information includes information in which the worker identification information is associated with a time correction coefficient, The portion amount estimation support device according to claim 1 or 2, wherein the portion amount estimation unit estimates the amount of the measurement target at each of the measurement points in the predetermined period based on the correction operation time at each of the measurement points and the total amount. (Appendix 4) A target information acquisition unit is included, the object information acquisition unit acquires object information including types of objects contained in the measurement object and their ratios; The partial quantity estimation support device according to any one of appendices 1 to 3, wherein the partial quantity estimation unit estimates the quantity of each type of object for each measurement point based on the estimated quantity of the measurement object and the object information. (Appendix 5) the object information acquisition unit acquires, for each of the measurement points, information on the types of objects contained in the measurement object and ratio correction information for correcting the ratio of the objects; The partial amount estimation support device according to claim 4, wherein the partial amount estimation unit corrects the estimated amount of each type of object for each measurement point based on the ratio correction information. (Appendix 6) A location information acquisition unit and an operation time correction unit are included, The position information acquisition unit acquires measurement point position information and work reference position information, The operation time correction unit Calculating a travel distance at the measurement point from the measurement point position information and the work reference position information, and estimating a travel time at the measurement point based on the travel distance; Calculating a corrected task time by correcting the task time based on the travel time; the partial amount estimating unit estimates the amount of the measurement target at each of the measurement points in the predetermined period based on the correction operation time at each of the measurement points and the total amount. 6. A partial quantity estimation support device according to any one of appendix 1 to 5. (Appendix 7) The operation time correction unit If the estimated amount of measurement target at each measurement point exceeds the threshold, Calculating a corrected moving distance by correcting the moving distance, and estimating a corrected moving time based on the corrected moving distance; A re-corrected task time is calculated by recalculating the task time based on the corrected travel time; The partial amount estimation support device according to claim 6, wherein the partial amount estimation unit re-estimates the amount of the measurement target for each of the measurement points in the predetermined period based on the recalibration operation time for each of the measurement points and the total amount. (Appendix 8) The method includes a task time acquisition step, a total amount acquisition step, and a partial amount estimation step, The task time acquisition step acquires task time information for at least one measurement point, The work time information is information in which point identification information for identifying the measurement point is associated with work time for a work related to a measurement target at the measurement point, The total amount acquisition step acquires a total amount of the measurement target in a predetermined period of time, The partial amount estimation step estimates the amount of the measurement target at each of the measurement points in the predetermined period based on the work time at each of the measurement points and the total amount. (Appendix 9) The partial amount estimation step includes: Calculating a total operation time by adding up the operation times for each of the measurement points in the predetermined period; Calculating a work amount per unit time based on the total work time and the total amount; 9. The partial amount estimation support method according to claim 8, further comprising estimating an amount of a measurement target at each of the measurement points based on the work time for each of the measurement points and the work amount per unit time. (Appendix 10) Including a work time correction process, The task time acquisition step acquires, for at least one measurement point, the task time information and worker identification information that identifies a worker at the measurement point in association with each other, The task time correction step calculates a corrected task time by correcting the task time based on worker information, The worker information includes information in which the worker identification information is associated with a time correction coefficient, 10. The partial amount estimation support method according to claim 8, wherein the partial amount estimation step estimates the amount of the measurement target at each measurement point in the predetermined period based on the corrected operation time at each measurement point and the total amount. (Appendix 11) A target information acquisition step is included, The object information acquisition step acquires object information including the types of objects contained in the measurement object and their ratios, 11. The partial amount estimation support method according to any one of claims 8 to 10, wherein the partial amount estimation step estimates the amount of each type of object for each measurement point based on the estimated amount of the measurement object and the object information. (Appendix 12) The object information acquisition step acquires, for each of the measurement points, information on the types of objects contained in the measurement object and ratio correction information for correcting the ratio of the objects, The partial amount estimation support method according to claim 11, wherein the partial amount estimation step corrects the estimated amount of each type of object for each measurement point based on the ratio correction information. (Appendix 13) A location information acquisition step and a task time correction step are included, The position information acquisition step acquires measurement point position information and work reference position information, The operation time correction step includes: Calculating a travel distance at the measurement point from the measurement point position information and the work reference position information, and estimating a travel time at the measurement point based on the travel distance; Calculating a corrected task time by correcting the task time based on the travel time; the partial amount estimation step estimates the amount of the measurement target at each of the measurement points in the predetermined period based on the corrected operation time at each of the measurement points and the total amount; 13. A method for supporting partial quantity estimation according to any one of appendices 8 to 12. (Appendix 14) The operation time correction step includes: If the estimated amount of measurement target at each measurement point exceeds the threshold, Calculating a corrected moving distance by correcting the moving distance, and estimating a corrected moving time based on the corrected moving distance; A re-corrected task time is calculated by recalculating the task time based on the corrected travel time; The partial amount estimation support method according to claim 13, wherein the partial amount estimation step re-estimates the amount of the measurement target for each measurement point in the predetermined period based on the recalibration operation time for each measurement point and the total amount. (Appendix 15) The method includes a task time acquisition step, a total amount acquisition step, and a partial amount estimation step, The task time acquisition step includes acquiring task time information for at least one measurement point, The work time information is information in which point identification information for identifying the measurement point is associated with work time for a work related to a measurement target at the measurement point, the total amount acquisition step acquires a total amount of the measurement target in a predetermined period of time; the partial amount estimation step estimates an amount of the measurement target at each of the measurement points in the predetermined period based on the operation time at each of the measurement points and the total amount; A partial amount estimation support program for causing a computer to execute each of the above steps. (Appendix 16) The partial quantity estimation step comprises: Calculating a total operation time by adding up the operation times for each of the measurement points in the predetermined period; Calculating a work amount per unit time based on the total work time and the total amount; 16. The partial amount estimation support program according to claim 15, which estimates an amount of the measurement target at the measurement point based on the work time for each measurement point and the work amount per unit time. (Appendix 17) Includes work time correction procedures, the task time acquisition step includes acquiring, for at least one measurement point, the task time information and worker identification information that identifies a worker at the measurement point in association with each other; The task time correction step includes calculating a corrected task time by correcting the task time based on worker information; The worker information includes information in which the worker identification information is associated with a time correction coefficient, 17. The partial amount estimation support program according to claim 15, wherein the partial amount estimation step estimates the amount of the measurement target at each measurement point in the predetermined period based on the correction operation time at each measurement point and the total amount. (Appendix 18) Including procedures for obtaining target information, The object information acquisition step acquires object information including types of objects contained in the measurement object and their ratios; 18. The partial amount estimation support program according to any one of appendices 15 to 17, wherein the partial amount estimation step estimates the amount of each type of object for each measurement point based on the estimated amount of the measurement object and the object information. (Appendix 19) the object information acquisition step acquires, for each of the measurement points, information on a ratio correction for correcting the types of objects contained in the measurement object and their ratios; The partial amount estimation support program according to claim 18, wherein the partial amount estimation step corrects the estimated amount of each type of object for each measurement point based on the ratio correction information. (Appendix 20) Including a location information acquisition procedure and a work time correction procedure, The position information acquisition step acquires measurement point position information and work reference position information, The operation time correction procedure includes: Calculating a travel distance at the measurement point from the measurement point position information and the work reference position information, and estimating a travel time at the measurement point based on the travel distance; Calculating a corrected task time by correcting the task time based on the travel time; the partial amount estimation step estimates an amount of the measurement target at each of the measurement points in the predetermined period based on the corrected operation time at each of the measurement points and the total amount; 20. The partial amount estimation support program according to any one of appendix 15 to 19. (Appendix 21) The operation time correction procedure includes: If the estimated amount of measurement target at each measurement point exceeds the threshold, Calculating a corrected moving distance by correcting the moving distance, and estimating a corrected moving time based on the corrected moving distance; A re-corrected task time is calculated by recalculating the task time based on the corrected travel time; 21. The partial amount estimation support program according to claim 20, wherein the partial amount estimation step re-estimates the amount of the measurement target for each measurement point in the specified period based on the recalibration work time for each measurement point and the total amount. (Appendix 22) The method includes a task time acquisition step, a total amount acquisition step, and a partial amount estimation step, The task time acquisition step includes acquiring task time information for at least one measurement point, The work time information is information in which point identification information for identifying the measurement point is associated with work time for a work related to a measurement target at the measurement point, the total amount acquisition step acquires a total amount of the measurement target in a predetermined period of time; the partial amount estimation step estimates an amount of the measurement target at each of the measurement points in the predetermined period based on the operation time at each of the measurement points and the total amount; A computer-readable recording medium having recorded thereon a partial amount estimation support program for causing a computer to execute each of the above procedures. (Appendix 23) The partial quantity estimation step comprises: Calculating a total operation time by adding up the operation times for each of the measurement points in the predetermined period; Calculating a work amount per unit time based on the total work time and the total amount; 23. The recording medium according to claim 22, further comprising: estimating an amount of a measurement target at each of the measurement points based on the work time at each of the measurement points and the work amount per unit time. (Appendix 24) Includes work time correction procedures, the task time acquisition step includes acquiring, for at least one measurement point, the task time information and worker identification information that identifies a worker at the measurement point in association with each other; The task time correction step includes calculating a corrected task time by correcting the task time based on worker information; The worker information includes information in which the worker identification information is associated with a time correction coefficient, 24. The recording medium according to claim 22, wherein the partial amount estimation step estimates an amount of the measurement target for each of the measurement points in the predetermined period based on a correction operation time for each of the measurement points and the total amount. (Appendix 25) Including procedures for obtaining target information, The object information acquisition step acquires object information including types of objects contained in the measurement object and their ratios; 25. The recording medium according to any one of appendices 22 to 24, wherein the partial amount estimation step estimates the amount of each type of object for each measurement point based on the estimated amount of the measurement object and the object information. (Appendix 26) the object information acquisition step acquires, for each of the measurement points, information on a ratio correction for correcting the types of objects contained in the measurement object and their ratios; The recording medium described in Appendix 25, wherein the partial amount estimation step corrects the estimated amount of each type of object for each measurement point based on the ratio correction information. (Appendix 27) Including a location information acquisition procedure and a work time correction procedure, The position information acquisition step acquires measurement point position information and work reference position information, The operation time correction procedure includes: Calculating a travel distance at the measurement point from the measurement point position information and the work reference position information, and estimating a travel time at the measurement point based on the travel distance; Calculating a corrected task time by correcting the task time based on the travel time; the partial amount estimation step estimates an amount of the measurement target at each of the measurement points in the predetermined period based on the corrected operation time at each of the measurement points and the total amount; 27. A recording medium according to any one of appendices 22 to 26. (Appendix 28) The operation time correction procedure includes: If the estimated amount of measurement target at each measurement point exceeds the threshold, Calculating a corrected moving distance by correcting the moving distance, and estimating a corrected moving time based on the corrected moving distance; A re-corrected task time is calculated by recalculating the task time based on the corrected travel time; 28. The recording medium according to claim 27, wherein the partial amount estimation step re-estimates the amount of the measurement target for each of the measurement points in the predetermined period based on a recalibration operation time for each of the measurement points and the total amount. [Industrial Applicability]

[0078] According to the present disclosure, the amount of the measurement object for each measurement point in a predetermined period can be estimated based on the work time information for at least one measurement point acquired by the work time acquisition unit and the total amount of the measurement object for a predetermined period acquired by the total amount acquisition unit. Therefore, according to the partial amount estimation support device of this embodiment, for example, the amount of the measurement object at each point can be estimated by simply recording the work time without measuring the amount of the measurement object at each point. This makes it possible to easily estimate the amount of the measurement object for each point. Therefore, the present disclosure can be suitably used in fields where it is necessary to measure the amount at each certain point and the total amount, particularly in the field of collecting items from a predetermined location such as garbage collection. [Explanation of symbols]

[0079] 10 Partial amount estimation support device 11 Work time acquisition section 12 Total amount acquisition part 13 Partial amount estimator 14 Working time correction section 15 Target information acquisition unit 16 Location information acquisition section 101 Central Processing Unit 102 Memory 103 Bus 104 Storage device 105 Input Device 106 Output Device 107 Communication Devices

Claims

1. The apparatus includes an operation time acquisition unit, a total amount acquisition unit, and a partial amount estimation unit, The task time acquisition unit acquires task time information for at least one measurement point, The work time information is information in which point identification information for identifying the measurement point is associated with work time for a work related to a measurement target at the measurement point, The total amount acquisition unit acquires a total amount of the measurement target in a predetermined period of time, The portion amount estimation unit estimates the amount of the measurement target at each of the measurement points in the predetermined period based on the work time at each of the measurement points and the total amount.

2. The partial amount estimator is Calculating a total operation time by adding up the operation times for each of the measurement points in the predetermined period; Calculating a work amount per unit time based on the total work time and the total amount; 2. The partial amount estimation support device according to claim 1, wherein the amount of the measurement target at the measurement point is estimated based on the work time at each of the measurement points and the work amount per unit time.

3. Including a work time correction section, the task time acquisition unit acquires, for at least one measurement point, the task time information and worker identification information that identifies a worker at the measurement point in association with each other; The task time correction unit calculates a corrected task time by correcting the task time based on worker information, The worker information includes information in which the worker identification information is associated with a time correction coefficient, The portion amount estimation support device according to claim 1 , wherein the portion amount estimation unit estimates the amount of the measurement target at each of the measurement points in the predetermined period based on the correction operation time at each of the measurement points and the total amount.

4. A target information acquisition unit is included, the object information acquisition unit acquires object information including types of objects contained in the measurement object and their ratios; The partial quantity estimation support device according to claim 1 , wherein the partial quantity estimation unit estimates the quantity of each type of object for each measurement point based on the estimated quantity of the measurement object and the object information.

5. the object information acquisition unit acquires, for each of the measurement points, information on the types of objects contained in the measurement object and ratio correction information for correcting the ratio of the objects; The partial amount estimation support device according to claim 4 , wherein the partial amount estimating section corrects the estimated amount of each type of object at each measurement point based on the ratio correction information.

6. The method includes a task time acquisition step, a total amount acquisition step, and a partial amount estimation step, The task time acquisition step acquires task time information for at least one measurement point, The work time information is information in which point identification information for identifying the measurement point is associated with work time for a work related to a measurement target at the measurement point, The total amount acquisition step acquires a total amount of the measurement target in a predetermined period of time, The partial amount estimation step estimates the amount of the measurement target at each of the measurement points in the predetermined period based on the work time at each of the measurement points and the total amount.

7. The partial amount estimation step includes: Calculating a total operation time by adding up the operation times for each of the measurement points in the predetermined period; Calculating a work amount per unit time based on the total work time and the total amount; 7. The partial amount estimation support method according to claim 6, further comprising estimating the amount of the measurement target at the measurement point based on the work time at each of the measurement points and the work amount per unit time.

8. Including a work time correction process, The task time acquisition step acquires, for at least one measurement point, the task time information and worker identification information that identifies a worker at the measurement point in association with each other, The task time correction step calculates a corrected task time by correcting the task time based on worker information, The worker information includes information in which the worker identification information is associated with a time correction coefficient, 8. The method for supporting partial amount estimation according to claim 6, wherein the partial amount estimation step estimates the amount of the measurement target at each of the measurement points in the predetermined period based on the corrected operation time at each of the measurement points and the total amount.

9. The method includes a task time acquisition step, a total amount acquisition step, and a partial amount estimation step, The task time acquisition step includes acquiring task time information for at least one measurement point, The work time information is information in which point identification information for identifying the measurement point is associated with work time for a work related to a measurement target at the measurement point, the total amount acquisition step acquires a total amount of the measurement target in a predetermined period of time; the partial amount estimation step estimates an amount of the measurement target at each of the measurement points in the predetermined period based on the operation time at each of the measurement points and the total amount; A partial amount estimation support program for causing a computer to execute each of the above steps.

10. The method includes a task time acquisition step, a total amount acquisition step, and a partial amount estimation step, The task time acquisition step includes acquiring task time information for at least one measurement point, The work time information is information in which point identification information for identifying the measurement point is associated with work time for a work related to a measurement target at the measurement point, the total amount acquisition step acquires a total amount of the measurement target in a predetermined period of time; the partial amount estimation step estimates an amount of the measurement target at each of the measurement points in the predetermined period based on the operation time at each of the measurement points and the total amount; A computer-readable recording medium having recorded thereon a partial amount estimation support program for causing a computer to execute each of the above procedures.

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