The present disclosure relates to an information processing apparatus and an information processing method.
In the landscaping industry and the like, there are cases where a plurality of workers perform work such as lawn mowing on a team. When a plurality of workers perform work using a plurality of types of work machines, the workers need to corporate in terms of areas to which they are assigned for performing work, the order in which they perform work, and the like. Japanese Patent Laid-Open No. 2016-31649 and No. 2018-108034 propose a coordination control system for performing work by sharing the work among a plurality of work vehicles.
In the above-mentioned Patent Documents, it is aimed to efficiently perform work using work vehicles that have been allocated for the work. However, there are cases where it is difficult to efficiently perform work, depending on the number and/or ratio of allocated work machines. Some aspects of the present disclosure provide a technique for appropriately determining the number and/or ratio of a plurality of types of work machines. In an embodiment, an information processing apparatus includes at least one processor circuit with a memory comprising instructions, that when executed by the processor circuit, cause the processor circuit to at least: obtain a work history of work performed by a plurality of types of work machines; and determine a number or ratio of work machines that are to perform work in an area to be subjected to work, based on the work history.
Further features of the present disclosure will become apparent from the following description of exemplary embodiments (with reference to the attached drawings).
Embodiments of the present disclosure will be described below with reference to the accompanying drawings. Some embodiments of the present disclosure relate to an information processing apparatus that can be used by a vendor that performs work using a plurality of types of work machines. In the following examples, landscaping work that is performed in a work area using two or more types out of a ride-on lawn mower, a walk-behind lawn mower, and a blower is handled as an example of work. The ride-on lawn mower is a work machine for a worker to ride on and perform lawn mowing. The ride-on lawn mower is an example of a work vehicle. The walk-behind lawn mower is a work machine for a worker to perform lawn mowing while walking. The blower is a work machine for a worker to perform blowing of lawn grass while walking. Some types out of these work machines do not need to be used for landscaping work. Also, another type of work machine such as a robot lawn mower may also be used for landscaping work. Here, landscaping work is handled as an example of work, but there is no limitation to landscaping work, and the present disclosure may also be applied to agricultural work, snow-plowing work, and the like, and, in this case, examples of a work machine include a cultivator and a snowplow, and there is no limitation to a lawn mower.
A configuration example of an information processing apparatus 100 according to some embodiments of the present disclosure will be described with reference to
The input unit 103 is an apparatus for receiving input from the user of the information processing apparatus 100 (for example, a worker of a landscaping team), and is constituted by push buttons, a touch pad, a keyboard, and the like. The output unit 104 is an apparatus for outputting information to the user of the information processing apparatus 100, and is constituted by a display, a speaker, and the like. The input unit 103 and the output unit 104 may also be constituted by a touch screen.
The communication unit 105 is an apparatus for the information processing apparatus 100 to communicate with another apparatus. If the communication unit 105 performs wired communication, the communication unit 105 is constituted by a communication port, a network card, and the like. If the communication unit 105 performs wireless communication, the communication unit 105 is constituted by an antenna, a baseband processing circuit, and the like. The storage unit 106 stores information used for processing of the information processing apparatus 100. The storage unit 106 is constituted by an HDD, SSD, and the like.
Examples of information stored by the information processing apparatus 100 will be described with reference to
The work machine information 210 is information regarding work machines owned by one landscaping vendor. A column 211 represents an identifier uniquely allocated for each work machine. A column 212 represents a type of work machine. In the column 212, “ride-on” indicates that the work machine is a ride-on lawn mower, “walk-behind” indicates the work machine is a walk-behind lawn mower, and “blower” indicates that the work machine is a blower. The work machine information 210 may include other information such as the use period and the model of each work machine. The user of the information processing apparatus 100 (for example, the landscaping vendor) registers information regarding work machines that can be used for work, in the work machine information 210.
The work area information 220 is information regarding work areas in which one landscaping vendor performs work. Each of these work areas may be an area actually subjected to work in the past (existing work area), or may be an area that will be subjected to work the first time (new work area). A column 221 represents an identifier uniquely allocated for each work area. A column 222 represents information regarding a gradient in the work area. Information regarding a gradient refers to the ratio of a portion of the work area in which the gradient is steep and a ride-on lawn mower cannot perform work, for example. In the example in
A column 223 represents information regarding an obstacle in each work area. The “information regarding an obstacle” refers to the ratio of a portion of the work area in which a ride-on lawn mower cannot perform work due to an obstacle such as a tree and a rock. In the example in
In this manner, the columns 222 to 224 represent terrain information of each work area. The work area information 220 may include other information such as the address of the work area. The user of the information processing apparatus 100 (for example, a landscaping vendor) performs research on information regarding the work area, and registers the research result in the work area information 220. The user of the information processing apparatus 100 may also update the work area information 220 based on information obtained through work performed using a work machine.
The work history information 230 is information regarding work performed by one landscaping vendor in the past. The column 231 represents an identifier uniquely allocated for each work performed in one work area in one day using one work machine. Work for which at least one of work day, work machine, and work area is different is handled as separate work. A column 232 represents an identifier of a work machine used for each work. The identifier in the column 232 has the same numbering system as an identifier in the column 211 of the work machine information 210. A column 233 represents an identifier of a work area in which each work has been performed. The identifier in the column 233 has the same numbering system as an identifier of the column 221 of the work area information 220.
A column 234 represents a date when each work was performed. A column 235 represents a work time, for example, a period of time from when the worker reaches the work area until when the worker leaves the work area. A column 236 represents an idling time during the work, in other words, a time during which a work unit is stopped while the driving source of the work machine is being driven, for example, a waiting time during work, such as a time during which the work machine is waiting for work of another type of work machine. In order to measure an idling time, the work machine may include a detection unit that detects a drive time of the driving source and a drive time of the work unit. A column 237 represents the level of skill of a person in charge of each work that has carried out the work (a score calculated based on the length of service, the number of times the person performed work, and the like). A column 238 represents the weather when each work was performed. Every time work ends, the user of the information processing apparatus 100 (for example, a landscaping vendor) registers information regarding the work in the work history information 230.
An operation example of the information processing apparatus 100 will be described with reference to
In step S301, the information processing apparatus 100 receives input of an area to be subjected to work, from the user. The information processing apparatus 100 may obtain input using the input unit 103, or may obtain input from another apparatus through the communication unit 105. If the area to be subjected to work is an existing work area registered in the work area information 220, the information processing apparatus 100 may obtain, as input, the identifier of the work area in the column 221. If the area to be subjected to work is not an existing work area registered in the work area information 220 (if the area to be subjected to work is a new work area), the information processing apparatus 100 may also obtain, as input, terrain information of the area to be subjected to work (i.e., information regarding a gradient, information regarding an obstacle, and the area dimension).
In step S302, the information processing apparatus 100 determines whether or not the area to be subjected to work is an existing work area registered in the work area information 220. If the area to be subjected to work is an existing work area (YES in step S302), the information processing apparatus 100 advances the procedure to step S303, otherwise (new work area) (NO in step S302) the information processing apparatus 100 advances the procedure to step S304.
In step S303, the information processing apparatus 100 selects the area to be subjected to work as a reference area. The “reference area” refers to a work area that is referenced in order to determine the number or ratio of work machines that are to perform work in the area to be subjected to work. The same applies to step S304 to be described later.
In step S304, the information processing apparatus 100 selects, as a reference area, a work area that has terrain information similar to the terrain information of the area to be subjected to work, from existing work areas registered in the work area information 220. For example, the information processing apparatus 100 selects, as a reference area, a work area for which the information regarding a gradient and information regarding an obstacle match those of the area to be subjected to work, and the difference in area dimension from the area to be subjected to work is smallest. For example, assume that, regarding the terrain information of the area to be subjected to work, information regarding a gradient is “large”, information regarding an obstacle is “small”, and the area dimension is “110”. In this case, a work area for which the identifier in the work area information 220 is “A001” is selected as a reference area. When there is no existing work area for which both information regarding a gradient and information regarding an obstacle match, a work area with as close conditions as possible is selected. In addition, if there are a plurality of work areas that satisfy the conditions, the information processing apparatus 100 may select any one work area, or may perform subsequent processing for each of such areas, and average the results. When, in step S304, a work area whose terrain information similar to the terrain information of the area to be subjected to work is selected as a reference area, the selection may be made in consideration of information regarding the level of skill of the person in charge of work and the weather in the area to be subjected to work. The level of skill of the worker and the weather in the area to be subjected to work significantly relate to the work efficiency, and thus it is possible to perform more optimum team formation.
In step S305, the information processing apparatus 100 obtains the work history of work performed in the reference area by work machines. Specifically, the information processing apparatus 100 reads out, from the work history information 230, work machine IDs, work day, work times, and idling times regarding the work performed in the reference area by work machines.
In step S306, the information processing apparatus 100 obtains the upper limit of the number of work machines that can be allocated for the area to be subjected to work (for example, the total number of machines owned by a vendor). The information processing apparatus 100 may read out the upper limit of the number of machines set in advance and stored in the storage unit 106, or may also receive the upper limit of the number of machines from a worker via the input unit 103 when step S306 is executed.
In step S307, the information processing apparatus 100 determines the number or ratio of work machines that are to perform work in the area to be subjected to work, based on the work history. This processing will be described later in detail.
In step S308, the information processing apparatus 100 outputs the determined number or ratio of machines. The information processing apparatus 100 may output the result using the output unit 104, or may also transmit the result to another apparatus through the communication unit 105.
Step S307 in
In step S402, the information processing apparatus 100 specifies, for each type of machine, the number of work machines used in the reference area on the most recent work day, based on the extracted work history. In work performed on Dec. 5, 2018 in a work area whose area ID is “A001”, two ride-on lawn mowers, two walk-behind lawn mowers, and one blower were used, for example.
In step S403, the information processing apparatus 100 specifies the type of work machine for which the idling time is shortest, from among the work machines used in the reference area on the most recent work day. Regarding the type of work machine for which the idling time is short, there is the possibility that the number of such work machines is not sufficient. Therefore, the information processing apparatus 100 considers increasing the number of such work machines.
In step S404, the information processing apparatus 100 determines whether or not it is possible to increase the number of work machines of the type specified in step S403. If it is possible to increase the number of such work machines (YES in step S404), the information processing apparatus 100 advances the procedure to step S405, otherwise (NO in step S404) advances the procedure to step S406. For example, if the number of work machines specified in step S402 (the number of work machines used in past work) is the upper limit of the number of work machines (for example, the total number of machines owned by a vendor) that can be allocated for the area to be subjected to work, the information processing apparatus 100 determines that it is not possible to increase the number of work machines of the type specified in step S403. In step S405, the information processing apparatus 100 decreases the number of work machines of the type specified in step S403 by one.
In step S406, the information processing apparatus 100 specifies the type of work machine for which the idling time is longest, from among work machines used in the reference area on the most recent work day. There is the possibility that, regarding the type of work machine for which the idling time is long, the number of such machines is more than sufficient. Therefore, the information processing apparatus 100 considers decreasing the number of such work machines.
In step S407, the information processing apparatus 100 determines whether or not it is possible to decrease the number of work machines of the type specified in step S406. If it is possible to decrease the number of such work machines (YES in step S407), the information processing apparatus 100 advances the procedure to step S408, otherwise (NO in step S407) ends the procedure. For example, if the number of work machines specified in step S402 (the number of machines used in past work) is the lower limit of the number of machines (for example, one) that can be allocated for the area to be subjected to work, the information processing apparatus 100 determines that it is not possible to decrease the number of work machines of the type specified in step S406. In step S408, the information processing apparatus 100 decreases the number of work machines of the type specified in step S406 by one.
In step S409, the information processing apparatus 100 determines the result of increasing or decreasing, in step S405 or S408, the number of work machines specified in step S402, as the number of work machines that are to perform work in the area to be subjected to work. The information processing apparatus 100 may also determine the ratio of work machines that are to perform work in the area to be subjected to work, in addition to or in place of determining the number of work machines. Using this ratio, the user of the information processing apparatus 100 can determine an appropriate number of work machines, regarding an area to be subjected to work, for which information regarding a gradient and information regarding an obstacle match but the area dimension is different.
The area to be subjected to work that is input in step S301 in
According to above-described embodiment, it is possible to shorten the idling times of a plurality of types of work machines, and perform team formation for realizing the optimum work efficiency.
Embodiment Overview
obtain a work history (230) of work performed by a plurality of types of work machines (S305); and
determine a number or ratio of work machines that are to perform work in an area to be subjected to work, based on the work history (S307).
According to this configuration, it is possible to calculate the optimum number or ratio of work machines based on the work history, for example, and perform team formation for realizing the optimum work efficiency.
According to this configuration, it is possible to efficiently perform optimum team formation even for a new area to be subjected to work, by performing a determination based on a work history of an area that has similar terrain information.
the work history includes an idling time (236) while work is performed by the plurality of types of work machines.
According to this configuration, it is possible to efficiently perform optimum team formation by performing a determination based on an idling time.
the plurality of types of work machines include a ride-on lawn mower and a walk-behind lawn mower, and
the terrain information of the area to be subjected to work includes information regarding a gradient (222) and information regarding an obstacle (223).
According to this configuration, it is possible to more accurately specify an area in which a ride-on lawn mower does not perform work, and perform team formation for realizing the optimum the work efficiency.
the work history includes at least one of a level of skill of a person in charge of work (237) and a weather in a work location (238).
According to this configuration, the level of skill of the worker and the weather in the area to be subjected to work significantly relate to the work efficiency, and thus it is possible to perform more optimum team formation.
determining the number or ratio of work machines that are to perform work in the area to be subjected to work includes determining the number or ratio such that an upper limit of the number of work machines that can be allocated for the area to be subjected to work is not exceeded (S404).
According to this configuration, it is possible to perform team formation for realizing the optimum work efficiency while satisfying the condition of the number of work machines that can be allocated.
the area to be subjected to work is divided into a plurality of areas, and
determining the number or ratio includes determining the number or ratio of work machines that are to perform work in each of the plurality of areas, based on a work area dimension of the area.
According to this configuration, even if the area to be subjected to work is divided into a plurality of areas, it is possible to efficiently perform optimum team formation.
obtaining a work history (230) of work performed by a plurality of types of work machines (S305); and
determining a number or ratio of work machines that are to perform work in an area to be subjected to work, based on the work history (S307).
According to this configuration, it is possible to calculate the optimum number or ratio of work machines based on the work history, for example, and perform team formation for realizing the optimum work efficiency.
obtain a work history (230) of work performed by a plurality of types of work machines (S305); and
determine a number or ratio of work machines that are to perform work in an area to be subjected to work, based on the work history (S307).
According to this configuration, it is possible to provide the information processing apparatus in the form of a program.
While the present invention has been described with reference to exemplary embodiments, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. The scope of the following claims is to be accorded the broadest interpretation so as to encompass all such modifications and equivalent structures and functions.
This application is a continuation of International Patent Application No. PCT/JP2018/048167 filed on Dec. 27, 2018, the entire disclosure of which is incorporated herein by reference.
Number | Date | Country | |
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Parent | PCT/JP2018/048167 | Dec 2018 | US |
Child | 17338879 | US |