Work time estimation support device, work time estimation support method, work time estimation support program, and recording medium

Abstract

To provide a work time estimation support device, a method, and a program for easily estimating work time.SOLUTION: In a work time estimation support device 10, a work determination unit 11 determines, on the basis of work place location information, worker location history information linking worker location information with measurement date and time of the worker location information, and a work determination threshold which is a threshold of a distance between a worker and a work place, for determining whether or not the worker has performed work at the work place, whether or not the worker has performed work at the work place, and a work time estimation unit 12 estimates, when it is determined that the worker has performed work at the work place, work time of the worker at the work place on the basis of the work place location information, the worker location history information, and a work time estimation threshold. The work time estimation threshold is a threshold of the distance between the worker and the work place for estimating the work time, and is a different value from the work determination threshold and the work time estimation threshold.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

[0002] Regarding local garbage collection, 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 attached to a collection box to measure the amount collected (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] Japanese Patent Application Laid-Open No. 2002-046805 Summary of the Invention [Problem to be solved by the invention]

[0004] In order to improve the efficiency of local waste collection work, it is important not only to collect data on the amount of waste collected, but also to measure the time workers spend collecting waste. However, recording waste collection work time requires measuring and recording the time manually, which is a time-consuming task. This issue is not limited to waste collection, but is applicable to various fields related to streamlining work.

[0005] Therefore, an object of the present disclosure is to provide a task time estimation support device, a task time estimation support method, a task time estimation support program, and a recording medium that are capable of easily estimating task time. [Means for solving the problem]

[0006] In order to achieve the above object, the work time estimation support device of the present disclosure includes: A task determination unit and a task time estimation unit are included, the work determination unit determines whether the worker has performed work at the work place based on worker location history information, work place location information, and a work determination threshold; the worker location history information is information in which worker location information is linked to measurement dates and times of the worker location information, the work determination threshold is a threshold of the distance between the worker and the work location for determining whether the worker has performed work at the work location, the work time estimation unit, when it is determined that the worker has performed work at the work place, estimates a work time of the worker at the work place based on the worker position history information, the work place position information, and a work time estimation threshold; the task time estimation threshold is a threshold of the distance between the worker and the task location for estimating the task time, The task determination threshold and the task time estimation threshold are different values.

[0007] The task time estimation support method of the present disclosure includes: A task determination step and a task time estimation step are included, the task determination step determines whether the worker has performed a task at the task location based on worker location history information, task location information, and a task determination threshold; the worker location history information is information in which worker location information is linked to measurement dates and times of the worker location information, the work determination threshold is a threshold of the distance between the worker and the work location for determining whether the worker has performed work at the work location, the work time estimation step, when it is determined that the worker has performed work at the work place, estimates a work time of the worker at the work place based on the worker location history information, the work place location information, and a work time estimation threshold; the task time estimation threshold is a threshold of the distance between the worker and the task location for estimating the task time, The task determination threshold and the task time estimation threshold are different values.

[0008] The work time estimation support program disclosed herein is A task determination procedure and a task time estimation procedure are included. The task determination step determines whether or not the worker has performed a task at the task location based on worker location history information, task location information, and a task determination threshold value; the worker location history information is information in which worker location information is linked to measurement dates and times of the worker location information, the work determination threshold is a threshold of the distance between the worker and the work location for determining whether the worker has performed work at the work location, the work time estimation step, when it is determined that the worker has performed work at the work place, estimates a work time of the worker at the work place based on the worker location history information, the work place location information, and a work time estimation threshold; the task time estimation threshold is a threshold of the distance between the worker and the task location for estimating the task time, the task determination threshold and the task time estimation threshold are different values, This is a program for causing a computer to execute each of the above procedures.

[0009] The recording medium of the present disclosure includes: A task determination procedure and a task time estimation procedure are included. The task determination step determines whether or not the worker has performed a task at the task location based on worker location history information, task location information, and a task determination threshold value; the worker location history information is information in which worker location information is linked to measurement dates and times of the worker location information, the work determination threshold is a threshold of the distance between the worker and the work location for determining whether the worker has performed work at the work location, the work time estimation step, when it is determined that the worker has performed work at the work place, estimates a work time of the worker at the work place based on the worker location history information, the work place location information, and a work time estimation threshold; the task time estimation threshold is a threshold of the distance between the worker and the task location for estimating the task time, the task determination threshold and the task time estimation threshold are different values, A computer-readable recording medium on which a program for causing a computer to execute each of the above procedures is recorded. [Effects of the Invention]

[0010] According to the present disclosure, task time can be easily estimated. [Brief explanation of the drawings]

[0011] [Figure 1] FIG. 1 is a block diagram showing a configuration of an example of an operation time estimation support device according to the present disclosure. [Figure 2] FIG. 2 is a block diagram showing an example of a hardware configuration of an operation time estimation support device according to the present disclosure. [Figure 3] FIG. 3 is a flowchart showing an example of processing in the task time estimation support device of the present disclosure. [Figure 4] FIG. 4 is a graph for explaining an example of processing by the work behavior classification unit. [Figure 5] FIG. 5 is a graph for explaining an example of processing by the work behavior classification unit. DETAILED DESCRIPTION OF THE INVENTION

[0012] In the present disclosure, "work" is not particularly limited and includes, for example, work performed by a worker at at least one work location, such as garbage collection, mail delivery, construction work, etc. In the present disclosure, a "worker" is not particularly limited and includes, for example, a person who performs the work, and may be a single person or a group of multiple people. Examples of the worker include a garbage collector, a mail carrier, a construction worker, etc. In the present disclosure, a "work location" is not particularly limited and includes, for example, a location where the work is performed, such as a garbage collection site, a mailbox, a construction site, etc. In the present disclosure, a "work-related vehicle" is not particularly limited and includes, for example, a vehicle used by the worker in connection with the work, such as a garbage truck (garbage collection truck), a mail delivery truck, a construction vehicle, etc.

[0013] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. The present disclosure is not limited to the following embodiments. In the following drawings, the same parts are denoted by the same reference numerals. Furthermore, the descriptions of the embodiments can be mutually incorporated unless otherwise specified, and the configurations of the embodiments can be combined unless otherwise specified. It can be obtained.

[0014] [Embodiment 1] Fig. 1 is a block diagram showing an example of the configuration of an activity time estimation support device 10 (hereinafter also referred to as "the device") according to this embodiment. As shown in Fig. 1, the device 10 includes an activity determination unit 11 and an activity time estimation unit. Furthermore, although not shown, the device 10 may also include, for example, an input unit, an output unit, a display unit, and / or a storage unit.

[0015] The device 10 may be, for example, a single device including the above-described units, or a device in which the units can be connected via a communication network. The device 10 can also be connected to an external device (described later) via the communication network. The communication network is not particularly limited and any known network can be used, for example, a wired or wireless network. Examples of the communication network include the Internet, the 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 Network (LPWA), and a Local 5G (L5G). Examples of wireless communication include Wi-Fi (registered trademark), Bluetooth (registered trademark), Local 5G, and LPWA. Examples of the wireless communication include direct communication between devices (Ad Hoc communication), infrastructure communication, and indirect communication via an access point. The device 10 may be incorporated into a server as a system. Furthermore, the present device 10 may be, for example, a personal computer (PC, for example, desktop or notebook type) on 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 located on a server and the other units are located on a terminal.

[0016] 2 shows a block diagram of the hardware configuration of the device 10. The 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, and a communication device 107. The components of the device 10 are connected to each other via the bus 103 and their respective interfaces (I / F).

[0017] The central processing unit 101 operates in cooperation with other components via a controller (such as a system controller or an I / O controller) and is responsible for overall control of the device 10. In the device 10, the central processing unit 101 executes, for example, the program of the present disclosure and other programs, and also reads and writes various types of information. Specifically, for example, the central processing unit 101 functions as an operation determination unit 11 and an operation time estimation unit 12. The device 10 may include other operation units such as a CPU, a GPU (Graphics Processing Unit), an APU (Accelerated Processing Unit), or a combination of these as the operation unit.

[0018] The bus 103 can also be connected to, for example, external devices. Examples of the external devices include a user terminal, an external storage device (such as an external database), a printer, an external input device, an external display device, and an external imaging device. The device 10 can be connected to an external network (the 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.

[0019] The memory 102 may be, for example, a main memory (primary storage device). When the central processing unit 101 performs processing, the memory 102 reads various operating programs, such as the program of the present disclosure, stored in the storage device 104 (described later), and the central processing unit 101 receives data from the memory 102 and executes the programs. The main memory may be, for example, a RAM (random access memory). The memory 102 may also be, for example, a ROM (read only memory).

[0020] The storage device 104 is also referred to as 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 data from and to 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) or a solid state drive (SSD) in which the recording medium and drive are integrated.

[0021] 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 by the present device 10 when executing processing. In this case, the memory 102 and the storage device 104 may store, for example, the above-mentioned information about the user of the present device. Note that at least a portion 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 stored in a distributed manner on multiple terminals using blockchain technology or the like. Furthermore, 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, worker location history information, work location location information, various thresholds, speed history information, and the like.

[0022] The device 10 further includes, for example, an input device 105 and an output device 106. Examples of the input device 105 include pointing devices such as a touch panel, track pad, and mouse; a keyboard; imaging means such as a camera and scanner; card readers such as an IC card reader and a magnetic card reader; and audio input means such as a microphone. Examples of the output device 106 include display devices such as an LED display and a liquid crystal display; audio output devices such as a speaker; a printer; and 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.

[0023] Next, an example of the task time estimation support method of this embodiment will be described with reference to the flowchart of Fig. 3. The task time 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 task time estimation support method of this embodiment is not limited to use of the device 10 of Fig. 1 or Fig. 2.

[0024] The work determination unit 11 determines whether or not the worker has performed work at the work place based on the worker position history information, work place position information, and a work determination threshold value (S1, work determination step). Specifically, the work determination unit 11 estimates the distance between the worker and the work location for each measurement date and time based on, for example, the worker location history information and the work location location information, and determines that the worker has performed work at the work location if the distance between the worker and the work location is equal to or less than the work determination threshold. Furthermore, the work determination unit 11 may determine that the worker has not performed work at the work location if, for example, the distance between the worker and the work location exceeds the work determination threshold. The distance can be estimated using, for example, a known distance estimation method based on two points of position information. For example, the work determination unit 11 may record the distance between the worker and the work location in association with the measurement date and time included in the worker location history information used to estimate the distance.

[0025] The worker position history information is information in which the worker position information and the measurement date and time of the worker position information are linked. The position information may be, for example, coordinate information from a Global Positioning System (GPS). The measurement interval of the worker position information in the worker position history information is not particularly limited, and measurement can be performed at any interval. Specific examples of the measurement interval include 1 second, 5 seconds, 10 seconds, 30 seconds, 60 seconds (1 minute), 10 minutes, and 30 minutes. The worker position history information can be generated, for example, by recording position information acquired from a device with a GPS positioning function (e.g., a smartphone, tablet, GPS receiver, etc.) owned by the worker. The worker position history information may be linked, for example, to worker identification information. The worker identification information is not particularly limited as long as it is information that can identify the worker, and examples thereof include name, nickname, ID, password, email address, telephone number, IP address, MAC address, and device-specific information of the terminal (identification number such as the terminal serial number or International Mobile Equipment Identifier). The worker may be, for example, a single individual or a team including multiple people. The worker location history information may be, for example, recorded in the memory unit of the device 10, or may be recorded outside the device 10 (for example, on the worker's terminal).

[0026] The task determination threshold is a threshold value of the distance between the worker and the task location for determining whether the worker has performed a task at the task location. The task determination threshold and a task time estimation threshold, which will be described later, are not particularly limited except that they are different values, and any value can be appropriately set depending on, for example, the type of task, the purpose of task time estimation, etc. The task determination threshold is, for example, a value smaller than the task time estimation threshold.

[0027] The work place location information is, for example, information on the location of the work place. Examples of the work place location information include GPS coordinate information of the work place, the address of the work place, and the like. Examples of the work place location information include information such as the ID, address, and name of the work place. The work place location information may also include, for example, attribute information of the work place. The attribute information of the work place may be, for example, information on the work place (e.g., identification information of a garbage collection site, address, area, type of garbage to be collected, etc.), identification information of a worker at the work place (e.g., identification information of a garbage collector), or information on a measurement target at the work place (e.g., information on the type of measurement target). The work place location information may be, for example, recorded in the memory unit of the device 10.

[0028] When it is determined that the worker has performed work at the work location (S1, Yes), the work time estimation unit 12 estimates the worker's work time at the work location based on the worker location history information, the work location location information, and a work time estimation threshold (S2, work time estimation step). The work time estimation threshold is a threshold value of the distance between the worker and the work location for estimating the work time. The work time estimation threshold is not particularly limited except that it is different from the work determination threshold, and can be set to any value depending on, for example, the type of work, the purpose of work time estimation, etc. The work time estimation threshold is, for example, a value greater than the work determination threshold. Specifically, the work time estimation unit 12 estimates the worker's work time at the work location as, for example, a period that includes the time when it is determined that the worker performed work at the work location, from the date and time when the distance between the worker and the work location falls within the work time determination threshold to the date and time when the distance between the worker and the work location falls outside the work time determination threshold. When there are multiple work locations, the work time estimation unit 12 may estimate, for example, the travel time from one work location to another. For example, the work time estimation unit 12 can estimate, as the travel time from one work location to another, the time from the date and time when the distance between the worker and the work location at one work location falls outside the work time determination threshold to the date and time when the distance between the worker and the work location at another work location where work is determined to have been performed falls within the work time determination threshold.

[0029] Example 1 Next, an example of the processing of this device will be described using a specific example. In the following description, an example will be given in which a garbage collection worker (worker) travels around to multiple garbage collection sites (work locations) in a compactor truck (work-related vehicle) to collect garbage, and the work time required to collect garbage at each garbage collection site is estimated, but the present disclosure is not limited to the following example. In the following example, the work determination threshold is set to "3 m" and the work time estimation threshold is set to "12 m", but the work determination threshold and the work time estimation threshold are not limited to these.

[0030] First, prior to processing by the device 10, a garbage collection worker drives a compactor truck to collect garbage at garbage collection point A, passes by garbage collection point B, which is not his / her responsibility, and collects garbage at garbage collection point C. During this time, the garbage collection worker uses his / her device (smartphone) to measure location information (worker location information) every five seconds, and generates worker location history information by linking the worker location information with the measurement date and time. Table 1 below shows an example of worker location history information. Table 2 below shows a specific example of work location location information. As shown in Table 2 below, the work location location information is linked to information on the work location position (latitude, longitude) for each collection point ID (work location identification information). In Tables 1 and 2 below, a, b, c, X, and Y represent any natural number from 0 to 9, for example. In Tables 1 and 2 below, a, b, c, X, and Y may be the same or different numbers, for example. [Table 1] [Table 2]

[0031] Based on the worker location history information and the work location location information (location information for each garbage collection point) shown in Table 2, the work judgment unit 11 identifies the nearest work location (garbage collection point) for each date and time in the work location history information, and calculates the distance between the worker and the nearest collection point. The distance may be calculated, for example, as a straight-line distance, or as a distance along a route on a map with the worker location information as the starting point and the work location information as the end point. The distance may be calculated, for example, by appropriately using a known method for calculating the distance between two points. Table 3 below shows an example of the distance between the worker and the nearest collection point calculated by the work judgment unit 11. [Table 3]

[0032] Next, the work determination unit 11 determines whether the worker performed work at the work location based on the distance between the worker and the nearest collection point and the work determination threshold (3 m). Table 4 below shows the results of the work determination by the work determination unit 11. In Table 4 below, a circle indicates that the worker performed work, and a cross indicates that the worker did not perform work. Next, the work time estimation unit 12 estimates the time that includes the time that it was determined that the worker performed work at the work location, from the date and time when the distance between the worker and the work location became within the work time determination threshold (12 m) to the date and time when the distance between the worker and the work location became outside the work time determination threshold, as the worker's work time at the work location. Furthermore, the work time estimation unit 12 can estimate, for example, that the time when the distance between the worker and the work location is outside the work time determination threshold (12 m) is travel time rather than work time. Specifically, based on the results of Table 4 below, the work time estimation unit 12 estimates that the garbage collection worker performed garbage collection work at garbage collection point A for 25 seconds from 10:00:35 to 10:01:00, and then estimates that the worker traveled from garbage collection point A to garbage collection point C via the vicinity of garbage collection point B for 35 seconds from 10:01:00 to 10:01:35, and estimates that the worker performed garbage collection work at garbage collection point C for 25 seconds from 10:01:35 to 10:02:00, and can record this. [Table 4]

[0033] According to the work time estimation support device of the present disclosure, the work determination unit determines whether a worker has worked at a work location based on worker location history information, work location information, and a work determination threshold, and when the work time estimation unit determines that the worker has worked at the work location, the work time estimation unit can estimate the worker's work time at the work location based on the worker location history information, the work location information, and the work time estimation threshold. Therefore, the work time estimation support device of the present disclosure, for example, eliminates the need for workers to measure their work time, making it possible to easily estimate work time.

[0034] In garbage collection work, a compactor truck is parked near a garbage collection site, and workers walk to the collection site to collect garbage. When estimating the work time for such work, if the time the worker spends at the collection site is estimated as work time, the time spent transporting garbage to the compactor truck is not included in the work time, and the work time cannot be accurately estimated. Conversely, if the location where the compactor truck is parked is taken into account and it is assumed that a worker is working when they are within a wide area of ​​the work site, this may result in an erroneous estimation of work time even when the compactor truck is stopped for reasons such as waiting at a traffic light near the collection site and no work is actually being performed. The present disclosure sets two types of thresholds, a threshold for work determination and a threshold for work time estimation, so that work time can be accurately estimated even in the above-mentioned situations.

[0035] <Variation 1> The work time estimation unit 12 may further correct the work time based on, for example, speed history information of the work-related vehicle. The speed history is information linking the speed of the work-related vehicle with the speed measurement date and time. The speed of the work-related vehicle may be, for example, speed information estimated based on vehicle movement history information or speed information acquired from the speedometer of the work-related vehicle. The vehicle position history information is, for example, information linking and recording the position information (vehicle position information) of the work-related vehicle with the measurement date and time of the vehicle position information. An example of the position information is GPS (Global Positioning System) coordinate information. In the vehicle position history information, the measurement interval of the vehicle position information is not particularly limited and can be measured at any interval. Specific examples of the measurement interval include 1 second, 5 seconds, 10 seconds, 30 seconds, 60 seconds (1 minute), 10 minutes, 30 minutes, etc. The vehicle location history information can be generated, for example, by recording location information acquired from a terminal with a GPS positioning function installed in the vehicle (for example, a smartphone, tablet terminal, GPS receiver, car navigation system, or other in-vehicle device). The vehicle location history information may be linked to, for example, vehicle identification information. The vehicle identification information is not particularly limited as long as it is information that can identify the vehicle, and examples include an identification number, license plate, identification symbol, name, and device-specific information of the terminal (such as a terminal serial number or an International Mobile Equipment Identifier). The vehicle location history information may be recorded, for example, in the memory unit of the device 10, or may be recorded outside the device 10 (for example, in the in-vehicle device).

[0036] The work time estimation unit 12 can determine the driving state of the work-related vehicle at the speed measurement date and time, for example, based on speed history information of the work-related vehicle, and correct the work time based on the driving state. Examples of the driving state include stopped, moving slowly, and driving. The work time estimation unit 12 can estimate the driving state of the work-related vehicle at the speed measurement date and time, for example, based on speed thresholds for each type of driving state and speed history information. The "stopped" state may be, for example, a state of complete stop (speed 0) or a state of substantial stop (speed greater than or equal to 0 and less than or equal to the stop determination threshold). The speed threshold can be set to any value depending on, for example, the type of work, the type of work-related vehicle, the purpose of analysis, etc.

[0037] Example 2 Next, another example of the processing of the present device in Variation 1 will be described using another specific example. In the following description, an example will be given in which a garbage collection worker (worker) travels around to multiple garbage collection sites (work locations) in a compactor truck (work-related vehicle) to collect garbage, and the work time required to collect garbage at each garbage collection site is estimated, but the present disclosure is in no way limited to the following example. Also, in the following example, the work determination threshold is set to "3 m" and the work time estimation threshold is set to "12 m", but the work determination threshold and the work time estimation threshold are not limited to these.

[0038] First, prior to processing by the device 10, a garbage collection worker drives a compactor truck to collect garbage at garbage collection point A, passes by garbage collection point B, which is not his / her responsibility, and collects garbage at garbage collection point C. During this time, the garbage collection worker uses his / her device (smartphone) to measure location information (worker location information) every 5 seconds, and generates worker location history information by linking the worker location information with the measurement date and time. Table 1 shows an example of worker location history information. Table 2 shows a specific example of work location location information. As shown in Table 2, the work location location information is linked to information on the work location position (latitude, longitude) for each collection point ID (work location identification information). In Tables 1 and 2, a, b, c, X, and Y represent any natural numbers from 0 to 9, for example. In Tables 1 and 2, a, b, c, X, and Y may be the same or different numbers, for example.

[0039] Additionally, in this embodiment, the location information (vehicle location information) is measured every 5 seconds using an onboard device (e.g., a tablet terminal, car navigation system) of the compactor truck, and vehicle location history information is generated by linking the vehicle location information with the measurement date and time. Table 5 below shows an example of vehicle location history information. In Table 5 below, a, b, c, X, and Y represent any natural numbers from 0 to 9, for example. In Table 5 below, a, b, c, X, and Y may each be the same number or different numbers, for example. [Table 5]

[0040] Next, the work determination unit 11 and the work time estimation unit 12 determine whether or not the worker performed work at each work location, in the same manner as in the first embodiment, and further estimate the work time at the work location where the work was performed. Next, in this embodiment, the work time estimation unit 12 estimates the speed history information of the compactor truck based on the vehicle position history information. The speed history information is, for example, information about the speed of the compactor truck at a specific time. For example, the work time estimation unit 12 calculates the difference in distance for each measurement time based on the vehicle position history information, and can estimate the speed history of the compactor truck based on the calculated travel distance for each measurement interval. Next, the work time estimation unit 12 determines the traveling state of the compactor truck (moving or stopped) at each time based on the stop determination threshold (3 km / h). Table 6 below shows an example of an estimated speed history and an example of a moving / stopped determination result based on the speed history. [Table 6]

[0041] Next, the work time estimation unit 12 corrects the work time in Table 4 based on the driving state. Specifically, the time when the compactor truck is determined to be moving is excluded from the times used to estimate the work time, and only the times when the compactor truck is stopped are counted to estimate the work time. Table 7 below shows the results of correcting the work time in Table 4. As shown in Table 7 below, the work time estimation unit 12 excludes from the work time the five seconds from 10:00:35 to 10:00:40 at garbage collection point A and the five seconds from 10:01:35 to 10:01:40 at garbage collection point C based on the results of Table 4. The work time estimation unit 12 then estimates that the garbage collection worker performed garbage collection work at garbage collection point A for 20 seconds from 10:00:40 to 10:01:00, and then estimates that the worker traveled from garbage collection point A to garbage collection point C via the vicinity of garbage collection point B for 40 seconds from 10:01:00 to 10:01:40, and estimates that the worker performed garbage collection work at garbage collection point C for 20 seconds from 10:01:40 to 10:02:00, and can record this. [Table 7]

[0042] As in Example 2, the driving state of the work-related vehicle at the time and date of speed measurement is determined based on the speed history information of the work-related vehicle, and the work time is corrected based on the driving state. This makes it possible to exclude, for example, the time when the work-related vehicle is in the vicinity of the work site but the worker has not actually started work from the estimation of work time, thereby enabling more accurate estimation of work time.

[0043] (Variation 2) The work time estimation unit 12 may also include, for example, a work activity classification unit (not shown). The work activity classification unit classifies the work time into actual work time and work-related time. Specifically, the work activity classification unit can classify the work time into actual work time and work-related time based on, for example, a change in the distance between the worker and the work-related vehicle. The actual work time is, for example, the time during which the worker actually performs work out of the estimated work time. The work-related time is, for example, the time during which the worker spends performing activities incidental to the work out of the estimated work time. Examples of activities incidental to the work out of the estimated work time include time spent preparing for the work, time spent traveling to the work, and time spent cleaning up after the work. As a specific example, if the work is collecting garbage at a garbage collection site, the actual work time is, for example, the time spent loading the collected garbage into a garbage compactor truck, and the work-related time is, for example, the time spent by the worker traveling from the garbage compactor truck to the garbage collection site and transporting the garbage back to the garbage compactor truck. By including the work behavior classification unit in the work time estimation unit 12, for example, work time can be classified into actual work time and work-related time, which enables more detailed analysis of work behavior.

[0044] An example of the processing by the work activity classification unit will be described with reference to FIG. 4. FIG. 4 is a graph showing the change in the distance between a garbage collection worker and a compactor truck when the worker gets off the compactor truck at a garbage collection site, collects garbage from the garbage collection site, and dumps the collected garbage into the compactor truck twice. The work activity classification unit calculates the distance between the worker and the work-related vehicle and the date and time based on, for example, the worker location history information and the vehicle location history information. Then, the work activity classification unit can classify, for example, of the time classified as working, the time when the distance between the worker and the work-related vehicle exceeds a threshold as garbage transport time (work-related time), and the time when the distance between the worker and the work-related vehicle is equal to or less than the threshold as time when garbage is being dumped into the compactor truck (work time).

[0045] The work behavior classification unit may estimate the change in distance based on, for example, a communication strength between the worker and the work-related vehicle. The communication strength is not particularly limited and may be, for example, a beacon signal strength, a communication strength (e.g., Bluetooth (registered trademark), Wi-Fi (registered trademark)) between the worker's terminal and the on-board terminal of the work-related vehicle, or a combination thereof.

[0046] Another example of the processing by the work behavior classification unit will be described with reference to Fig. 5. Fig. 5 is a graph showing changes in the received signal strength (RSSI: Received Signal Strength Indicator) of the beacon signal between a compactor truck and a garbage collection worker when the worker gets off the compactor truck at a garbage collection site, collects garbage from the garbage collection site, and dumps the collected garbage into the compactor truck twice. In this example, for example, the beacon signal transmitter is located at the garbage dump opening of the compactor truck, and the worker carries the beacon signal receiver, but the example is not limited to this. The work activity classification unit acquires, for example, information on the history of changes in the received signal strength of the beacon signal from the beacon signal receiver. Then, as shown in Fig. 5, the work activity classification unit can classify, for example, among the times classified as working, the time when the received signal strength of the beacon signal is below a threshold, i.e., the time when the worker and the compactor truck are far apart, as waste transportation time (work-related time), and the time when the received signal strength of the beacon signal is above the threshold, i.e., the time when the worker and the compactor truck are close, as time when waste is being dumped into the compactor truck (work time).

[0047] [Embodiment 2] The program of this embodiment is a program for causing a computer to execute each step of the above-described task time estimation support method. Specifically, the program of this embodiment is a program for causing a computer to execute a task determination procedure and a task time estimation procedure.

[0048] The task determination step determines whether or not the worker has performed a task at the task location based on worker location history information, task location information, and a task determination threshold value; the worker location history information is information in which worker location information is linked to measurement dates and times of the worker location information, the work determination threshold is a threshold of the distance between the worker and the work location for determining whether the worker has performed work at the work location, the work time estimation step, when it is determined that the worker has performed work at the work place, estimates a work time of the worker at the work place based on the worker location history information, the work place location information, and a work time estimation threshold; the task time estimation threshold is a threshold of the distance between the worker and the task location for estimating the task time, The task determination threshold and the task time estimation threshold are different values.

[0049] The program of this embodiment can also be said to be a program that causes a computer to function as an activity determination procedure and an activity time estimation procedure.

[0050] The program of this embodiment can be implemented by invoking the descriptions of the task time estimation support device and task time estimation support method of the present disclosure. For example, the term "step" in each of the steps can be read as "processing." The program of this embodiment may be recorded on a computer-readable recording medium. The recording medium may be, for example, a non-transitory computer-readable storage medium. The recording medium may be, 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 (e.g., solid state drive (SSD), USB flash memory, SD / SDHC card, etc.), optical disc (e.g., CD-R / CD-RW, DVD-R / DVD-RW, BD-R / BD-RE, etc.), magneto-optical disk (MO), and floppy disk (FD). Furthermore, the task time estimation support program of this embodiment (also referred to as a programming product or a task time estimation support program product, for example) may be distributed from an external computer. The "distribution" may be, for example, distribution via a communication network or distribution via a device connected via a wire. The task time estimation 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.

[0051] Although the present disclosure has been described above with reference to the embodiments, the present disclosure is not limited to the above embodiments. Various modifications that can be understood by those 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 combined with other embodiments as appropriate.

[0052] <Additional Notes> Some or all of the above embodiments can be described as, but not limited to, the following supplementary notes. (Appendix 1) A task determination unit and a task time estimation unit are included, the work determination unit determines whether the worker has performed work at the work place based on worker location history information, work place location information, and a work determination threshold; the worker location history information is information in which worker location information is linked to measurement dates and times of the worker location information, the work determination threshold is a threshold of the distance between the worker and the work location for determining whether the worker has performed work at the work location, the work time estimation unit, when it is determined that the worker has performed work at the work place, estimates a work time of the worker at the work place based on the worker position history information, the work place position information, and a work time estimation threshold; the task time estimation threshold is a threshold of the distance between the worker and the task location for estimating the task time, The task determination threshold and the task time estimation threshold are different values. (Appendix 2) 2. The task time estimation support device according to claim 1, wherein the task time estimation threshold is a value greater than the task determination threshold. (Appendix 3) The work determination unit estimating a distance between the worker and the work place for each measurement date and time based on the worker position history information and the work place position information; If the distance between the worker and the work location is equal to or less than the work determination threshold, it is determined that the worker has performed work at the work location; The work time estimation unit The work time of the worker at the work place is estimated to be the time including the time when it is determined that the worker performed work at the work place, and the time from the date and time when the distance between the worker and the work place becomes within the work time determination threshold to the date and time when the distance between the worker and the work place becomes outside the work time determination threshold. 3. An operation time estimation support device according to claim 1 or 2. (Appendix 4) The work time estimation unit further corrects the work time based on speed history information of the work-related vehicle, 4. The work time estimation support device according to any one of appendices 1 to 3, wherein the speed history is information linking the speed of the work-related vehicle with the date and time of speed measurement. (Appendix 5) The work time estimation unit determining a traveling state of the work-related vehicle at the speed measurement date and time based on speed history information of the work-related vehicle; 5. The task time estimation support device according to claim 4, wherein the task time is corrected based on the driving state. (Appendix 6) The work time estimation unit includes a work behavior classification unit, 6. The task time estimation support device according to any one of appendices 1 to 5, wherein the task behavior classification unit classifies the task time into actual task time and task-related time. (Appendix 7) The work behavior classification unit 7. A work time estimation support device according to claim 6, wherein the work time is classified into actual work time and work-related time based on a change in the distance between the worker and the work-related vehicle. (Appendix 8) 8. The work time estimation support device according to claim 7, wherein the work behavior classification unit estimates the change in distance based on communication strength between the worker and the work-related vehicle. (Appendix 9) 9. A work time estimation support device according to any one of appendices 1 to 8, for estimating the work time required for garbage collection at a garbage collection site. (Appendix 10) A task determination step and a task time estimation step are included, the task determination step determines whether the worker has performed a task at the task location based on worker location history information, task location information, and a task determination threshold; the worker location history information is information in which worker location information is linked to measurement dates and times of the worker location information, the work determination threshold is a threshold of the distance between the worker and the work location for determining whether the worker has performed work at the work location, the work time estimation step, when it is determined that the worker has performed work at the work place, estimates a work time of the worker at the work place based on the worker location history information, the work place location information, and a work time estimation threshold; the task time estimation threshold is a threshold of the distance between the worker and the task location for estimating the task time, The task time estimation support method, wherein the task determination threshold and the task time estimation threshold are different values. (Appendix 11) 11. The task time estimation support method according to claim 10, wherein the task time estimation threshold is a value greater than the task determination threshold. (Appendix 12) The work determination step includes: estimating a distance between the worker and the work place for each measurement date and time based on the worker position history information and the work place position information; If the distance between the worker and the work location is equal to or less than the work determination threshold, it is determined that the worker has performed work at the work location; The work time estimation step includes: The work time of the worker at the work place is estimated to be the time including the time when it is determined that the worker performed work at the work place, and the time from the date and time when the distance between the worker and the work place becomes within the work time determination threshold to the date and time when the distance between the worker and the work place becomes outside the work time determination threshold. 12. The task time estimation support method according to claim 10 or 11. (Appendix 13) The work time estimation step further includes correcting the work time based on speed history information of the work-related vehicle; The work time estimation support method according to any one of appendices 10 to 12, wherein the speed history is information linking the speed of the work-related vehicle with the date and time of speed measurement. (Appendix 14) The work time estimation step includes: determining a traveling state of the work-related vehicle at the speed measurement date and time based on speed history information of the work-related vehicle; 14. The task time estimation support method according to claim 13, wherein the task time is corrected based on the driving state. (Appendix 15) The task time estimation step includes a task behavior classification step, 15. The task time estimation support method according to any one of appendices 10 to 14, wherein the task behavior classification step classifies the task time into actual task time and task-related time. (Appendix 16) The work behavior classification step includes: 16. A work time estimation support method according to claim 15, wherein the work time is classified into actual work time and work-related time based on a change in the distance between the worker and the work-related vehicle. (Appendix 17) 17. The work time estimation support method according to claim 16, wherein the work behavior classification step estimates the change in distance based on communication strength between the worker and the work-related vehicle. (Appendix 18) A work time estimation support method according to any one of appendices 10 to 17 for estimating the work time of garbage collection at a garbage collection site. (Appendix 19) A task determination procedure and a task time estimation procedure are included. The task determination step determines whether or not the worker has performed a task at the task location based on worker location history information, task location information, and a task determination threshold value; the worker location history information is information in which worker location information is linked to measurement dates and times of the worker location information, the work determination threshold is a threshold of the distance between the worker and the work location for determining whether the worker has performed work at the work location, the work time estimation step, when it is determined that the worker has performed work at the work place, estimates a work time of the worker at the work place based on the worker location history information, the work place location information, and a work time estimation threshold; the task time estimation threshold is a threshold of the distance between the worker and the task location for estimating the task time, the task determination threshold and the task time estimation threshold are different values, An operation time estimation support program for causing a computer to execute each of the above procedures. (Appendix 20) 20. The task time estimation support program according to claim 19, wherein the task time estimation threshold is a value greater than the task determination threshold. (Appendix 21) The work determination procedure includes: estimating a distance between the worker and the work place for each measurement date and time based on the worker position history information and the work place position information; If the distance between the worker and the work location is equal to or less than the work determination threshold, it is determined that the worker has performed work at the work location; The work time estimation procedure includes: The work time of the worker at the work place is estimated to be the time including the time when it is determined that the worker performed work at the work place, and the time from the date and time when the distance between the worker and the work place becomes within the work time determination threshold to the date and time when the distance between the worker and the work place becomes outside the work time determination threshold. 21. An operation time estimation support program according to claim 19 or 20. (Appendix 22) The work time estimation step further includes correcting the work time based on speed history information of the work-related vehicle; 22. A work time estimation support program according to any one of appendices 19 to 21, wherein the speed history is information linking the speed of the work-related vehicle with the date and time of speed measurement. (Appendix 23) The work time estimation procedure includes: determining a traveling state of the work-related vehicle at the speed measurement date and time based on speed history information of the work-related vehicle; 23. The work time estimation support program according to claim 22, wherein the work time is corrected based on the driving state. (Appendix 24) The task time estimation procedure includes a task behavior classification procedure; 24. The work time estimation support program according to any one of appendices 19 to 23, wherein the work activity classification procedure classifies the work time into actual work time and work-related time. (Appendix 25) The work activity classification procedure includes: 25. A work time estimation support program according to claim 24, wherein the work time is classified into actual work time and work-related time based on a change in the distance between the worker and the work-related vehicle. (Appendix 26) 26. The work time estimation support program according to claim 25, wherein the work behavior classification step estimates the change in distance based on communication strength between the worker and the work-related vehicle. (Appendix 27) 27. A work time estimation support program according to any one of appendices 19 to 26, for estimating the work time of garbage collection at a garbage collection site. (Appendix 28) A task determination procedure and a task time estimation procedure are included. The task determination step determines whether or not the worker has performed a task at the task location based on worker location history information, task location information, and a task determination threshold value; the worker location history information is information in which worker location information is linked to measurement dates and times of the worker location information, the work determination threshold is a threshold of the distance between the worker and the work location for determining whether the worker has performed work at the work location, the work time estimation step, when it is determined that the worker has performed work at the work place, estimates a work time of the worker at the work place based on the worker location history information, the work place location information, and a work time estimation threshold; the task time estimation threshold is a threshold of the distance between the worker and the task location for estimating the task time, the task determination threshold and the task time estimation threshold are different values, A computer-readable recording medium storing an operation time estimation support program for causing a computer to execute each of the above procedures. (Appendix 29) 20. The recording medium according to claim 19, wherein the task time estimation threshold is greater than the task determination threshold. (Appendix 30) The work determination procedure includes: estimating a distance between the worker and the work place for each measurement date and time based on the worker position history information and the work place position information; If the distance between the worker and the work location is equal to or less than the work determination threshold, it is determined that the worker has performed work at the work location; The work time estimation procedure includes: The work time of the worker at the work place is estimated to be the time including the time when it is determined that the worker performed work at the work place, and the time from the date and time when the distance between the worker and the work place becomes within the work time determination threshold to the date and time when the distance between the worker and the work place becomes outside the work time determination threshold. 30. A recording medium according to claim 28 or 29. (Appendix 31) The work time estimation step further includes correcting the work time based on speed history information of the work-related vehicle; 31. The recording medium according to any one of appendices 28 to 30, wherein the speed history is information linking the speed of the work-related vehicle with the date and time of speed measurement. (Appendix 32) The work time estimation procedure includes: determining a traveling state of the work-related vehicle at the speed measurement date and time based on speed history information of the work-related vehicle; 32. The recording medium of claim 31, wherein the operation time is corrected based on the driving state. (Appendix 33) The task time estimation procedure includes a task behavior classification procedure; 33. The recording medium according to any one of appendices 28 to 32, wherein the work behavior classification procedure classifies the work time into actual work time and work-related time. (Appendix 34) The work activity classification procedure includes: 34. The recording medium of claim 33, wherein the work time is classified into actual work time and work-related time based on a change in the distance between the worker and the work-related vehicle. (Appendix 35) 35. The storage medium of claim 34, wherein the work behavior classification step estimates the change in distance based on a communication strength between the worker and the work-related vehicle. (Appendix 36) 36. A recording medium according to any one of appendices 28 to 35, for estimating the work time of garbage collection at a garbage collection site. [Industrial Applicability]

[0053] According to the present disclosure, it is possible to easily estimate the working time of a worker at a work site. Therefore, the present disclosure can be suitably used in fields where the work behavior of workers in various tasks needs to be analyzed, particularly in fields where items are collected from predetermined locations, such as garbage collection. [Explanation of symbols]

[0054] 10. Work time estimation support device 11 Work judgment section 12 Work time estimation section 101 Central Processing Unit 102 memory 103 Bus 104 Storage device 105 Input Device 106 Output Device 107 Communication Devices

Claims

1. A task determination unit and a task time estimation unit are included, the work determination unit determines whether the worker has performed work at the work place based on worker location history information, work place location information, and a work determination threshold; the worker location history information is information in which worker location information is linked to measurement dates and times of the worker location information, the work determination threshold is a threshold of the distance between the worker and the work location for determining whether the worker has performed work at the work location, the work time estimation unit, when it is determined that the worker has performed work at the work place, estimates a work time of the worker at the work place based on the worker position history information, the work place position information, and a work time estimation threshold; the task time estimation threshold is a threshold of the distance between the worker and the task location for estimating the task time, The task determination threshold and the task time estimation threshold are different values.

2. The task time estimation support device according to claim 1 , wherein the task time estimation threshold is greater than the task determination threshold.

3. The work determination unit estimating a distance between the worker and the work place for each measurement date and time based on the worker position history information and the work place position information; If the distance between the worker and the work location is equal to or less than the work determination threshold, it is determined that the worker has performed work at the work location; The work time estimation unit The work time of the worker at the work place is estimated to be the time including the time when it is determined that the worker performed work at the work place, and the time from the date and time when the distance between the worker and the work place becomes within the work time determination threshold to the date and time when the distance between the worker and the work place becomes outside the work time determination threshold. The operation time estimation support device according to claim 1 or 2.

4. The work time estimation unit further corrects the work time based on speed history information of the work-related vehicle, The task time estimation support device according to claim 1 or 2, wherein the speed history is information in which the speed of the task-related vehicle is linked to a date and time of speed measurement.

5. The work time estimation unit determining a traveling state of the work-related vehicle at the speed measurement date and time based on speed history information of the work-related vehicle; The task time estimation support device according to claim 4 , wherein the task time is corrected based on the driving state.

6. The work time estimation unit includes a work behavior classification unit, The task time estimation support device according to claim 1 , wherein the task behavior classification unit classifies the task time into actual task time and task-related time.

7. The work behavior classification unit 7. A work time estimation support device according to claim 6, wherein the work time is classified into actual work time and work-related time based on a change in the distance between the worker and the work-related vehicle.

8. The work time estimation support device according to claim 7 , wherein the work behavior classifier estimates the change in distance based on a communication strength between the worker and the work-related vehicle.

9. A task determination step and a task time estimation step are included, the task determination step determines whether the worker has performed a task at the task location based on worker location history information, task location information, and a task determination threshold; the worker location history information is information in which worker location information is linked to measurement dates and times of the worker location information, the work determination threshold is a threshold of the distance between the worker and the work location for determining whether the worker has performed work at the work location, the work time estimation step, when it is determined that the worker has performed work at the work place, estimates a work time of the worker at the work place based on the worker location history information, the work place location information, and a work time estimation threshold; the task time estimation threshold is a threshold of the distance between the worker and the task location for estimating the task time, The task time estimation support method, wherein the task determination threshold and the task time estimation threshold are different values.

10. A task determination procedure and a task time estimation procedure are included. The task determination step determines whether or not the worker has performed a task at the task location based on worker location history information, task location information, and a task determination threshold value; the worker location history information is information in which worker location information is linked to measurement dates and times of the worker location information, the work determination threshold is a threshold of the distance between the worker and the work location for determining whether the worker has performed work at the work location, the work time estimation step, when it is determined that the worker has performed work at the work place, estimates a work time of the worker at the work place based on the worker location history information, the work place location information, and a work time estimation threshold; the task time estimation threshold is a threshold of the distance between the worker and the task location for estimating the task time, the task determination threshold and the task time estimation threshold are different values, An operation time estimation support program for causing a computer to execute each of the above procedures.

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