JP2018156495A - Delivery processing device, delivery processing method, and delivery processing program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To achieve efficiency of delivery of luggage to a delivery destination by a mobile body.SOLUTION: A delivery processing device according to the present application includes a distribution part and an output part. The distribution part distributes luggage to be loaded on a mobile body on the basis of in-home probability during each time zone of a user corresponding to a base point which is a delivery destination of the luggage. The output part outputs an instruction of loading of the luggage according to distribution by the distribution part.SELECTED DRAWING: Figure 1A

Description

  The present invention relates to a delivery processing device, a delivery processing method, and a delivery processing program.

  Conventionally, in the delivery business, for example, a technique has been proposed for identifying the delivery order of delivery vehicles that are mobiles from the probability of staying at each customer's time zone, which is known by delivery performed in the past (for example, Patent Document 1).

JP2013-167972A

  However, with the above-described conventional technology, there is a limit to the efficiency of delivery of packages by specifying the delivery order of delivery vehicles, and there is room for improvement in terms of improving the efficiency of delivery of packages to delivery destinations by delivery vehicles. there were.

  The present application has been made in view of the above, and an object of the present invention is to provide a delivery processing apparatus, a delivery processing method, and a delivery processing program capable of improving the efficiency of delivery of a package to a delivery destination by a mobile body. To do.

  The delivery processing apparatus according to the present application includes a sorting unit and an output unit. The sorting unit sorts the packages loaded on the mobile body based on the at-home probability of each user corresponding to the base to which the packages are delivered. The output unit outputs an instruction to load a load according to the sorting by the sorting unit.

  According to one aspect of the embodiment, it is possible to improve the efficiency of delivery of a package to a delivery destination by a mobile body.

FIG. 1A is a diagram illustrating an example of a delivery process according to the embodiment. FIG. 1B is a diagram illustrating an example of a delivery process according to the embodiment. FIG. 2 is a diagram illustrating a configuration example of the delivery processing system according to the embodiment. FIG. 3 is a diagram illustrating an example of information stored in the home probability database according to the embodiment. FIG. 4 is a diagram illustrating an example of package information registered in the package database according to the embodiment. FIG. 5 is a diagram illustrating an example of delivery vehicle information registered in the delivery database according to the embodiment. FIG. 6 is a diagram illustrating an example of information that is registered in the delivery database according to the embodiment and that associates information about a package with a time zone with a high probability of being at home. FIG. 7 is a flowchart illustrating an example of delivery processing by the delivery processing system according to the embodiment. FIG. 8 is a diagram illustrating an example of a functional configuration of the determination server according to the embodiment. FIG. 9 is a diagram illustrating an example of information registered in the position history database according to the embodiment. FIG. 10 is a diagram illustrating an example of information registered in the estimation result database according to the embodiment. FIG. 11 is a diagram illustrating an example of information registered in the at-home probability database according to the embodiment. FIG. 12 is a flowchart illustrating an example of a flow of estimation processing and determination processing executed by the determination server according to the embodiment. FIG. 13 is a hardware configuration diagram illustrating an example of a computer that realizes the function of the delivery processing apparatus.

  Hereinafter, a delivery processing apparatus, a delivery processing method, and a form for implementing a delivery processing program (hereinafter referred to as “embodiment”) according to the present application will be described in detail with reference to the drawings. Note that the delivery processing apparatus, delivery processing method, and delivery processing program according to the present application are not limited by this embodiment. Moreover, in the following embodiment, the same code | symbol is attached | subjected to the same site | part and the overlapping description is abbreviate | omitted.

  Also, in the following description, as processing executed by the delivery processing device, the home of the users U01, U02,... Based on the history of the location information indicating the locations of the terminal devices 100, 101,. An example of a delivery process in which the probability is estimated and the packages loaded on the delivery vehicle as a moving body are distributed based on the at-home probability will be described.

[1-1. Concept of delivery processing]
First, an example of delivery processing according to the embodiment will be described with reference to FIGS. 1A and 1B. 1A and 1B are diagrams illustrating an example of a delivery process according to the embodiment. FIG. 1A shows a case where the packages # 1 to # 6 loaded on the delivery vehicle H, which is one mobile body, are sorted based on the at-home probability of each user U01, U02. Moreover, FIG. 1B shows a case where the packages # 1 to # 6 loaded on the plurality of delivery vehicles H1, H2,... Are distributed based on the home probabilities of the respective users U01, U02.

  As shown in FIG. 1A, the delivery processing system 1 according to the embodiment includes a delivery processing device 10, a determination server 300, and terminal devices 100, 101,... Used by users U01, U02,. The delivery processing device 10, the determination server 300, and the terminal devices 100, 101,... Are connected, for example, via the Internet.

  The delivery processing device 10 is a device that executes a sorting process that sorts the packages loaded on the delivery vehicle based on the at-home probability of each user U01, U02..., And is realized by a server device, a cloud system, or the like. The

  The determination server 300 is an information processing apparatus that executes an estimation process for estimating the home probability of each user U01, U02... In each time zone, and is realized by a server apparatus, a cloud system, or the like.

  The terminal devices 100, 101,... Are mobile terminals such as smartphones, tablet terminals and PDAs (Personal Digital Assistants), and terminal devices such as notebook PCs (Personal Computers), mobile communication networks, the Internet, and wireless LANs (Local Areas). A terminal device that can communicate with an arbitrary server via a network such as a network. Further, the terminal devices 100, 101... Specify the positions of the terminal devices 100, 101... (Hereinafter referred to as “current location”) at predetermined time intervals using positioning means such as GPS (Global Positioning System). It has a positioning function.

  First, the terminal devices 100, 101,... Measure the current positions of the terminal devices 100, 101,. Then, the determination server 300 collects position information of the current position from the terminal devices 100, 101,... Of each user U01, U02,. For example, the terminal devices 100, 101... May transmit the position information to the determination server 300 by using a function such as a predetermined application installed in advance.

  Further, the determination server 300 executes an estimation process for estimating the home probability in each time zone of each user U01, U02,... Based on the history of position information collected from the terminal devices 100, 101. And the determination server 300 transmits the information of the at-home probability in each time slot | zone of each user U01, U02 ... to the delivery processing apparatus 10 (step S3).

  Next, the delivery processing device 10 sorts the packages loaded on the delivery vehicle based on the home probability in each time zone of each user U01, U02... (Step S4).

  Here, the distribution process executed by the delivery processing apparatus 10 will be described. First, the delivery processing device 10 specifies a time zone in which each user U01, U02... Has a high home probability from the home probability database 2 described later. Then, the delivery processing apparatus 10 associates the package delivered to each user U01, U02,... Registered in the package database 3 to be described later and the delivery destination of the package with the specified time zone with a high home probability. Such associated information is registered in a delivery database 4 described later.

  That is, as information registered in the delivery database 4, information having items such as “user ID”, “package ID”, “time zone with high home probability”, and “delivery destination ID” is registered. In this example, it is assumed that the users U01 to U06 live in different bases ("base # 01", "base # 02", "base # 03" ...).

  Then, the delivery processing device 10 sorts the packages having the same “time zone with a high home probability” from the above information. In this example, the delivery processing apparatus 10 sends a package delivered to “morning” (“package # 1” and “package # 3”), a package delivered to “12: 0 to 14:00” (“package # 2”, and “Package # 4”) and “14:00 to 16:00” (package # 5 and package # 6) are sorted.

  After that, the delivery processing device 10 outputs, for example, an instruction for loading packages (“package # 1” to “package # 6”) according to the sorting to the stacking device 200 described later (step S5). Then, the loading device 200 distributes the loading device 200 to one delivery vehicle H including “location # 01” to “location # 06” in the delivery route, which is selected by the delivery processing device 10 in response to the instruction. Load the luggage ("Luggage # 1" to "Luggage # 6").

  Specifically, for example, in the delivery vehicle H in which the opening / closing door D1 is provided on the rear side of the loading platform P and the opening / closing door D3 is provided on the front side (traveling direction side) of the loading platform P, The first package (“Package # 1” and “Package # 3”) to be delivered to “” is loaded in the region 1 closest to the opening / closing door D1 in the loading platform P.

  Subsequently, the loading device 200 loads the packages (“package # 2” and “package # 4”) delivered to “12:00 to 14:00” in the area 2 on the side of the opening / closing door D3 next to the area 1 in the loading platform P. In addition, the cargoes (“Luggage # 5” and “Luggage # 6”) to be delivered to “14:00 to 16:00” are loaded in the area 3 on the door D3 side next to the area 2 in the loading platform P. To do.

  Then, the loading device 200 loads, for example, the last package to be delivered to “20:00 to 21:00” in the area n closest to the opening / closing door D3 in the loading platform P.

  In this way, the loading device 200 receives the instruction from the delivery processing device 10 and distributes the packages (“package # 1” to “package # 6”) sorted based on the at-home probability of each user U01, U02. , Loaded in the areas 1, 2,... N determined on the loading platform P of the delivery vehicle H.

  As a result, the driver of the delivery vehicle H can take out the first baggage to be delivered “in the morning” from the opening / closing door D1 on the rear side of the loading platform P, and “12: 00 to 14:00” or “14: 00 to The package delivered to 16:00 can be taken out from the opening / closing door D2 provided in the center of one side of the loading platform P, and the last package delivered to "20:00 to 21:00" is forward of the loading platform P. It can be taken out from the open / close door D3 communicating with the driver's seat on the side. Therefore, the driver of the delivery vehicle H can efficiently take out the packages sorted from the delivery vehicle H. Note that the driver in this embodiment corresponds to an operator.

  In addition, the position where the load is loaded on the loading platform P is not limited to the above example. For example, the first load (“load # 1” and “load # 3”) to be delivered in the “morning” is loaded in the region n, The last package delivered to “10:00 to 21:00” may be loaded in the area 1. That is, the position where the load is loaded on the loading platform P may be determined according to the work efficiency of the driver of the delivery vehicle H.

  Further, the installation position and the number of installation doors in the delivery vehicle H are not limited to the above-described form, and may be determined according to the loading place of the sorted cargo platform P. For example, on one side of the cargo platform P A plurality of opening / closing doors may be installed from the rear side to the front side of the loading platform P.

  Further, when there are a plurality of packages in the same delivery time zone, the delivery processing apparatus 10 may distribute the packages to a plurality of delivery vehicles so that the plurality of packages are distributed.

  Specifically, as shown in FIG. 1B, first, the delivery processing apparatus 10 sends the package (“package # 1” and “package # 3”) delivered in “morning”, “12: 00 to 14:00”. (1) “Luggage # 2” and “Luggage # 4” and “14: 00-16: 00” (“Luggage # 5” and “Luggage # 6”).

  Then, the delivery processing apparatus 10 delivers the packages (“package # 1” and “package # 3”) to be delivered in the “morning”, in this example, “base # 01” to “base # 06” in the delivery route. Evenly distributed to cars H01 and H02. In the same manner, the delivery processing apparatus 10 sends a package delivered to “12: 0 to 14:00” (“package # 2” and “package # 4”) and a package delivered to “14:00 to 16:00” (“ The packages # 5 "and" package # 6 ") are equally distributed to the delivery vehicles H01 and H02.

  After that, the delivery processing device 10 outputs an instruction for loading packages (“package # 1” to “package # 6”) according to the sorting to the stacking device 200. Then, the loading device 200 loads the packages (“Luggage # 1” to “Luggage # 6”) sorted according to the instruction on the delivery vehicles H01 and H02.

  In this example, the loading device 200 sends “Luggage # 1” delivered to “Morning” to the delivery vehicle H01, “Luggage # 2” delivered to “12: 0 to 14:00”, and “14: 0 to 16: “Package # 5” to be delivered to “00” is loaded. In addition, the loading apparatus 200 receives “package # 3” delivered to “morning” and “package # 4” delivered to “12:00 to 14:00” and “14:00 to 16:00” to the delivery vehicle H02. "Package # 5" to be delivered.

  In this way, the loading device 200 receives the instruction from the delivery processing device 10 and distributes the packages (“package # 1” to “package #” based on the home probability of each user U01, U02. 6 ") are loaded on the delivery vehicles H01 and H02 so that they are evenly distributed.

  As a result, the burden of delivery of the sorted packages (“Package # 1” to “Package # 6”) can be distributed to a plurality of delivery vehicles H01 and H02 instead of being given to only one delivery vehicle.

  In this way, the delivery processing device 10 loads the packages loaded on the delivery vehicles H, H01, H02 based on the at-home probability of each user U01, U02,. (Package # 1 "to" Package # 6 "). Therefore, according to the delivery processing device 10, it is possible to improve the efficiency of delivery of the packages (“package # 1” to “package # 6”) to the delivery destination by the delivery vehicles H, H01, and H02.

  In the example shown in FIG. 1A and FIG. 1B, the delivery processing device 10 sorts the packages loaded on the delivery vehicle based on the at-home probability of each user living in the base that is the delivery destination of the packages. It was. As another distribution method, in addition to the probability of being at home in each time zone, the delivery vehicle is based on the delivery route information of the delivery vehicle, the specified delivery time of the package by the user, and the evaluation information of the driver driving the delivery vehicle. You may sort the luggage you load. Such various distribution methods will be described in detail in the following embodiments.

[1-2. Example of delivery processing system configuration]
Next, a configuration example of the delivery processing system 1 including the delivery processing apparatus 10 according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram illustrating a configuration example of the delivery processing system 1 according to the embodiment. As shown in FIG. 2, the delivery processing system 1 includes a stacking device 200, a delivery processing device 10, and a determination server 300. A detailed description of the determination server 300 will be described later with reference to FIGS.

  In the delivery processing system 1, the loading device 200, the delivery processing device 10, and the determination server 300 are connected to each other via a network N so as to be capable of wired or wireless communication. Note that the numbers of the stacking apparatuses 200 and the determination servers 300 included in the delivery processing system 1 illustrated in FIG. 2 are not limited to the illustrated numbers.

[1-3. Loading device]
In the loading device 200, for example, a robot automatically picks a package that is sorted based on each user's home probability in each time zone, and loads the picked package at a predetermined position on a predetermined delivery vehicle and a platform of the delivery vehicle. (Picking device). Note that the loading device 200 is not limited to the picking device, and is a device that can automatically load a package distributed based on the probability of being home in each user's time zone at a predetermined position on a predetermined delivery vehicle and the platform of the delivery vehicle. I just need it.

  Another example of the loading device 200 includes hardware elements such as a branching device and a roller conveyor, and a plurality of outlets (for example, rollers) provided in the vicinity of a single delivery vehicle such as right, middle, and left. It may be provided with an end of the conveyor), that is, a load discharging position. In this case, the output unit 8 which will be described later causes the stacking apparatus 200 to discharge the package to one of a plurality of package discharge positions in the order of the time period in which the home probability is high or the order of the delivery route information. An instruction is output to it. The discharged package is a robot and a human delivery person loads it into the delivery vehicle.

[1-4. Configuration example of delivery processing apparatus]
The delivery processing device 10 includes a communication unit 11, a storage unit 12, and a control unit 13. The delivery processing device 10 includes an input unit (for example, a keyboard and a mouse) that receives various operations from an administrator of the delivery processing device 10 and a display unit (for example, a liquid crystal display) for displaying various types of information. It may be a thing.

  The communication unit 11 is realized by, for example, a NIC (Network Interface Card). The communication unit 11 is connected to the network N by wired or wireless means, and transmits and receives information between the loading device 200 and the delivery processing device 10 and between the delivery processing device 10 and the determination server 300.

  The storage unit 12 is realized by, for example, a semiconductor memory element such as a random access memory (RAM) or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 12 includes a home probability database 2, a package database 3, and a delivery database 4.

  The at-home probability database 2 is a database in which information on at-home probability in each time zone of each user transmitted from the determination server 300 is stored.

  FIG. 3 is a diagram illustrating an example of information registered in the at-home probability database 2 according to the embodiment. In the example illustrated in FIG. 3, “terminal ID”, “user ID”, “location information”, “base ID”, and the probability of being at the base of the user in each time zone are registered. In this example, “Morning (8:00 to 12:00)”, “12: 0 to 14:00”, “14: 0 to 16:00”, “16: 0 to 18:00” “18: 00 to 20:00” and “20: 00 to 21:00” are divided into six time zones, but are not limited to these time zones. Further, in the home probability database 2, information having arbitrary items may be registered in addition to the items shown in FIG.

  Here, the “terminal ID” is an identifier indicating the terminal devices 100, 101,... That have acquired the associated position information using a positioning function such as GPS. The “user ID” is an identifier indicating the users U01, U02... Using the terminal devices 100, 101. The “position information” is information indicating the positions of the terminal devices 100, 101... Measured by the terminal devices 100, 101.

  Further, the “base ID” is an identifier for identifying a place as a scaffold for the activities of the users U01, U02. Here, the base is, for example, a predetermined place such as a workplace, a temporary house, a park or the like as long as it is a place where the users U01, U02,... It may be a facility. Furthermore, the base may be a predetermined point or the like that actually exists as long as the position can be specified. For example, the base may be a reception at a predetermined workplace, a guardhouse of a building, or the like. That is, the base can be any point as long as the person delivering the package can meet the users U1, U2,..., Or the place serving as a unit for delivery in the delivery service. .

  For example, in the example illustrated in FIG. 3, the home probability database 2 includes the terminal ID “ID101”, the user ID “U01”, the location information “location # 1”, the location ID “location # 01”, “morning (8 : 00 to 12:00) "home probability" 80% "," 12: 0 to 14:00 "home probability" 50% "," 14:00 to 16:00 "home probability" 30% " Home probabilities of “16:00 to 18:00” “30%”, home probabilities of “18:00 to 20:00” “30%”, home probabilities of “20:00 to 21:00” “30%” Is registered.

  Such information indicates that the terminal device 100 indicated by the terminal ID “ID101” is being used by the user U01 indicated by the user ID “U01”. Further, the location information “location # 1” indicates that the location of the user U01 is “location # 01”. In addition, the probability that the user U01 is “80%” in the “morning (8:00 to 12:00)” at the base indicated by the base ID “base # 01” is indicated.

  The package database 3 is a database in which information on packages delivered to users is registered.

  FIG. 4 is a diagram illustrating an example of package information registered in the package database 3 according to the embodiment. In the example illustrated in FIG. 4, information having items such as “user ID”, “package ID”, “delivery destination ID”, “presence / absence of specified time”, and “specified time zone” are registered. In the package database 3, information having arbitrary items other than the items shown in FIG. 4 may be registered.

  Here, the “package ID” is an identifier of the package delivered to the base where the users U01, U02. For example, when there is a package delivered to the base where the user U01 resides, “package # 1” is registered in the “package ID”. Further, the “delivery destination ID” is a base ID of a base serving as a delivery destination, that is, a base serving as a visiting destination. For example, when the location of the user U01 is from location information “location # 1” to “location # 01”, “location # 01” is registered in the item “delivery destination ID”.

  Further, “presence / absence of designated time” is registered as to whether or not the user U01, U02. For example, when the user U01 does not specify the time of the package # 1 to be delivered, “None” is registered in the item “Presence / absence of specified time”. Further, for example, when the user U04 performs time designation for the package # 4 to be delivered, “present” is registered in the item “presence / absence of designated time”. In this case, if the time zone designated by the user U04 is “morning”, “morning” is registered in the item “designated time zone”.

  The delivery database 4 is a database in which delivery route information of delivery vehicles, evaluation information of drivers driving the delivery vehicles, and the like are registered.

  FIG. 5 is a diagram illustrating an example of delivery vehicle information registered in the delivery database 4 according to the embodiment. In the example illustrated in FIG. 5, information having items such as “delivery vehicle ID”, “driver ID”, “delivery route information”, and “driver evaluation information” is registered. In addition, the information which has arbitrary items other than the item shown in FIG.

  Here, the “delivery vehicle ID” is an identifier of the delivery vehicle that delivers the package to the base. “Driver ID” is an identifier of a driver who drives the delivery vehicle.

  “Delivery route information” indicates information related to a predetermined delivery route of the packages in the delivery vehicles H01, H02. For example, when delivery vehicles H01 and H02 have been assigned a delivery route including “base # 01” in advance, “delivery route 01” is registered in the item “delivery route information”. Further, for example, when the delivery route H03 is assigned in advance with a delivery route including “location # 02”, “delivery route 02” is registered in the item “delivery route information”.

  In addition, the “driver evaluation information” includes information such as “delivery item”, “loading capacity”, “area in charge”, and “date / time zone” in this example.

  Here, the “delivery item” is information regarding the type of package handled by the driver. The “loading capacity” is information relating to the amount of luggage that can be loaded on a delivery vehicle. The “area in charge” is information related to the area mainly handled by the driver. The “date and time zone” is information relating to the date and time when the driver mainly delivered the package.

  For example, the driver D01 mainly handles “Weekday / AM” when delivering a package, the area in charge is “residential area”, and handles “refrigerated / frozen” as a delivery. Yes, if the load capacity of the delivery vehicle H01 is “2 tons or less”, “refrigerated / frozen” is registered in the “delivery items” item, and “2 tons or less” in the “load capacity” item Is registered, “Residential area” is registered in the “Region in charge” item, and “Weekday / AM” is registered in the “Date / time zone” item.

  FIG. 6 is a diagram illustrating an example of information that is registered in the delivery database 4 according to the embodiment and that associates information about a package with a time zone with a high home probability. In the example illustrated in FIG. 6, information including items such as “user ID”, “package ID”, “time zone with high home probability”, “delivery destination ID”, “designated time zone”, and “delivery vehicle ID”. Is registered. In addition, in the delivery database 4, information having arbitrary items may be registered in addition to the items shown in FIG.

  Here, the “time zone with a high home probability” is information indicating a time zone with a high home probability at the base for each user U01, U02. For example, in the user U01, the home probability of “morning” is the highest at “80%” among the above six time zones (see FIG. 3), and the “time zone having a high home probability” based on such information. In the item, “morning” is registered.

  Further, the “charge delivery vehicle” is information indicating a delivery vehicle that is responsible for delivery of the packages # 1, # 2,... Distributed based on the home probability of each user U01, U02. For example, when the delivery vehicle delivering the package # 1 of the user U01 is the delivery vehicle H01, the delivery vehicle ID “H01” is registered in the item “delivery vehicle”.

  Returning to FIG. 2, the description will be continued. The control unit 13 is stored in a storage device inside the delivery processing device 10 by, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or the like. The various programs are executed by using a storage area such as a RAM as a work area. In the example illustrated in FIG. 2, the control unit 13 includes an acquisition unit 5, a specification unit 6, a distribution unit 7, and an output unit 8.

  Each of the processing units 5 to 8 included in the control unit 13 implements / executes functions / actions (for example, FIG. 1A and FIG. 1B) of specific processing and distribution processing as described below. Is a functional unit arranged for explanation, and it does not matter whether it matches with actual hardware elements or software modules. In other words, the delivery processing apparatus 10 may realize and execute the specific process and the distribution process in an arbitrary functional unit as long as the following specific processes and functions of the distribution process can be realized and executed. .

[1-5. Example of the effect of delivery processing]
Next, the contents of the delivery process executed by each of the processing units 5 to 8 will be described with reference to FIG. FIG. 7 is a flowchart illustrating an example of delivery processing by the delivery processing system 1 according to the embodiment.

  As shown in FIG. 7, first, the acquisition unit 5 included in the delivery processing device 10 acquires information on the home probability in each time zone of each user U01, U02... Transmitted from the determination server 300 via the network N. (S10). The acquisition unit 5 stores the acquired home probability information in each time zone of each user U01, U02,... In the home probability database 2 (S11).

  The specifying unit 6 uses the home probability information of each user U01, U02,... Stored in the home probability database 2 based on the home probability information for each user U01, U02,. The designated time zone of the package by the persons U01, U02... Is specified (S12).

  Specifically, the specifying unit 6 uses the home probability in each time zone (“morning”, “12:00 to 14:00”,...) Of each user U01, U02... Stored in the home probability database 2. Based on the information (see FIG. 3), a time zone in which each user U01, U02. For example, when focusing on the user U01, the specifying unit 6 indicates the highest home probability “80%” in the home probability in each time zone (“morning”, “12: 0 to 14:00”...). Identify “Morning”. Further, when focusing on the user U02, the specifying unit 6 specifies “12: 0 to 14:00” indicating the highest home probability “80%” in the home probability in each time zone.

  In addition, in the above example, the specifying unit 6 specifies a relatively high home probability in the home probability in each time zone, but is not limited to such a specifying method. For example, when the home probability of “morning” is “90%” and the home probability of “12: 0 to 14:00” is “90%”, the specifying unit 6 sets “ “Medium” may be specified with priority. That is, the specifying unit 6 may specify the earliest time zone when the same high home probability is registered in a plurality of time zones.

  Further, the specifying unit 6 may not specify the time zone when the home probability of each time zone is relatively low. Specifically, for example, when the value obtained by dividing the total home probability in each time zone by the number of items in the time zone is equal to or less than a predetermined threshold, the specifying unit 6 may not specify the time zone. . For example, when the specific unit 6 pays attention to the user U07 and sets the threshold value to 20%, the total value of the home probability in each time zone is 90%, and the total value (90%) is the item of the time zone. Since the value divided by the number (6) is 15% (below the threshold), the time zone for the user U07 is not specified.

  Further, the specifying unit 6 specifies the designated time zone of the baggage by each user U01, U02... Based on the baggage information registered in the baggage database 3 (see FIG. 4). For example, when focusing on the user U04, the specifying unit 6 specifies “morning” registered in the “specified time zone” because “presence / absence of specified time” is “present”. Further, when focusing on the user U01, the specifying unit 6 does not specify the specified time zone because “presence / absence of specified time” is “none”.

  Next, the sorting unit 7 sorts the packages # 1, # 2... Loaded on the delivery vehicles H01, H02... Based on the time zones of the users U01, U02. Specifically, the allocating unit 7 includes information on a time zone and a designated time zone with a high probability of being home for each identified user U01, U02..., Delivery route information on delivery vehicles H01, H02. .. Are sorted based on the evaluation information of the drivers D01, D02... Driving the vehicles H02.

  For example, as shown in the above-described FIG. 6, the distribution unit 7 determines that “location # 01” and “location # 03” have “package # 1” and “location # 03” when there are parcels # 1 and # 3 delivered to “morning”, respectively. 01 ”and“ location # 03 ”are selected as delivery vehicles H01 and H02 in the delivery route, and the packages # 1 and # 3 are equally distributed to the delivery vehicles H01 and H02. In addition, when there is a package # 5 and # 6 to be delivered to “14: 0 to 16:00” at “base # 05” and “base # 06” respectively, the distribution unit 7 similarly supplies the delivery vehicles H01 and H02. Allocate packages # 5 and # 6 evenly.

  The distribution unit 7 distributes the packages # 1 and # 3 to the delivery vehicles H01 and H02 based on the driver evaluation information (see FIG. 5). Specifically, for example, when the type of luggage # 1, # 3 is “refrigerated / frozen” and the delivery destination is “residential area”, the allocating unit 7 is the main driver of the delivery vehicle H01. Since the responsible area is “residential area”, the package # 1 is preferentially distributed to the delivery vehicle H01 based on such information. Then, the distribution unit 7 distributes the package # 3 to the delivery vehicle H02 after distributing the package # 1 to the delivery vehicle H01. For example, if the type of the packages # 1 and # 3 is “refrigerated / frozen” and the delivery destination is “downtown”, the distribution unit 7 is the main area in charge of the driver of the delivery vehicle H02. Is a “business district”, so that the package # 1 is preferentially distributed to the delivery vehicle H02 based on such information. Then, the distribution unit 7 distributes the package # 3 to the delivery vehicle H01 after distributing the package # 1 to the delivery vehicle H02.

  Further, as shown in FIG. 6 described above, the distribution unit 7 registers “morning” in the item “designated time zone” in the user U04. Do not select “12:00 to 14:00” registered in the item, select “Morning” registered in the “Specified time zone” item, and in accordance with this selection, load the delivery car H01 Sort # 4. That is, in this example, the packages to be delivered in the “morning” are “package # 1”, “package # 3”, and “package # 4”, and the sorting unit 7 has “base # 01”, “base # The packages # 1, # 3, and # 4 are distributed to the delivery vehicles H01 and H02 that include “# 03” and “location # 04” in the delivery route.

  Further, as shown in FIG. 6 described above, the distribution unit 7 does not register (specify) the time zone in the item “time zone with high home probability” in the users U07 and U08, so Relatively low parcels # 7 and # 8 are equally distributed to delivery vehicles H01 and H02 including “base # 07” and “base # 08” in the delivery route.

  Next, the output unit 8 outputs an instruction to load the packages # 1, # 2,... To the loading device 200 according to the sorting by the sorting unit 7. Specifically, the loading apparatus 200 that has received the instruction signal from the output unit 8 via the network N has the home probability of each user U01, U02..., The delivery route information of the delivery vehicles H01, H02. In this example, the packages # 1, # 2... Sorted according to the designated time of delivery of packages # 1, # 2... By the users U01, U02... And the evaluation information of the driver driving the delivery vehicles H01, H02. Then, it loads on delivery vehicles 01 and H02 (refer FIG. 1A and FIG. 1B).

  As described above, the allocating unit 7 has the home probability of each user U01, U02,..., The delivery route information of the delivery vehicles H01, H02, etc., the packages # 1, # 2,. ... Are distributed based on the designated delivery time and the evaluation information of the driver driving the delivery vehicles H01, H02... Thereby, the efficiency of delivery of the package to the delivery destination by the delivery vehicle can be improved. In addition, the sorting unit 7 may generate the delivery route information by permuting the base information (address, position coordinates, etc.) corresponding to the sorted package in the order of the time zone where the home probability is high.

  It should be noted that the above-described probability that each user U01, U02, etc. is at home and the locations # 01, # 02, which are the delivery destinations of the packages # 1, # 2,. It is estimated from a history of position information indicating the positions of the terminal devices 100, 101.

  This estimation process is executed by the determination server 300 in this example. Hereinafter, the estimation process and the determination process executed by the determination server 300 according to the embodiment will be described with reference to FIGS.

[2. Regarding estimation processing and determination processing executed by determination server 300 according to the embodiment]
Hereinafter, an example of a functional configuration and an effect of the determination server 300 that realizes the estimation process and the determination process will be described with reference to the drawings.

[2-1. Example of functional configuration)
FIG. 8 is a diagram illustrating an example of a functional configuration of the determination server 300 according to the embodiment. As illustrated in FIG. 8, the determination server 300 includes a communication unit 20, a storage unit 30, and a control unit 40. The communication unit 20 is realized by, for example, a NIC (Network Interface Card). The communication unit 20 is connected to the network N in a wired or wireless manner, and transmits and receives information between the determination server 300, the delivery processing device 10, and the terminal device 100.

  The storage unit 30 is realized by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 30 includes a position history database 31, an estimation result database 32, and a home probability database 33.

  In the position history database 31, position history information indicating the history of the position where the terminal device 100 stayed is registered. More specifically, position information collected from the terminal device 100 is registered in the position history database 31 as position history information.

  For example, FIG. 9 is a diagram illustrating an example of information registered in the position history database 31 according to the embodiment. In the example illustrated in FIG. 9, the location history database 31 includes “terminal ID (Identifier)”, “user ID”, “location information”, “collection time”, “terminal information”, and “communication device information”. Location history information having items is registered. In the position history database 31, position history information having arbitrary items other than the items shown in FIG. 9 may be registered.

  Here, the “terminal ID” is an identifier indicating the terminal device 100 that has acquired the associated position information using a positioning function such as GPS. The “user ID” is an identifier indicating the user who is using the terminal device 100 indicated by the associated “terminal ID”. The “position information” is information indicating the position of the terminal device 100 measured by the terminal device 100 indicated by the associated “terminal ID”. The “collection time” is the time at which the associated “position information” is measured or the time at which the associated “position information” is collected from the terminal device 100.

  The “terminal information” is information regarding the terminal device 100 indicated by the associated “terminal ID”. For example, the “terminal information” is a model name or model number of the terminal device 100, an IP (Internet Protocol) address assigned to the terminal device 100, a MAC (Media Access Control) address, or the like. Further, for example, “terminal information” includes an OS (Operating System), an application (for example, a disaster prevention breaking news application, a map application, etc.) that collects the associated “position information”, and “position information” to the determination server 300. Information indicating the name and version of the transmitted application or the like. That is, as the “terminal information”, any information indicating what kind of terminal device the terminal device 100 indicated by the associated “terminal ID” can be employed.

  Further, “communication device information” determines the communication device (for example, also referred to as a wireless LAN base unit or a wireless router) that can be communicated by the terminal device 100 indicated by the associated “terminal ID” and position information. This is information indicating the communication device used when transmitting to the server 300. For example, “communication device information” is information regarding specifications including specifications and format of communication that occurs when the terminal device 100 communicates with the communication device, and is acquired from the communication device or collected by the determination server 300. The unit 41 acquires via the communication unit 20. The communication device information includes, for example, a device name and model number of the communication device, an IP (Internet Protocol) address, a port number, an SSID (Service Set Identifier), and the like. To give a more specific example, the “communication device information” is a variety of information related to an access point installed at a base, such as a communication device that the terminal device 100 indicated by the associated “terminal ID” can communicate with. is there.

  For example, in the example illustrated in FIG. 9, the location history database 31 includes a terminal ID “ID101”, a user ID “U01”, location information “location # 1”, and a collection time “2015/01/01/21: 00: 00 ”, terminal information“ terminal information # 1 ”, and communication device information“ communication device # 1 ”are associated with location history information. Such location history information indicates, for example, that the terminal device 101 indicated by the terminal ID “ID101” is being used by the user U01 indicated by the user ID “U01”. Further, such position history information indicates that the position information “position # 1” has been collected by the terminal device 101 at the collection time “2015/01/01/21: 00: 00”. Further, in such location history information, the terminal information of the terminal device 101 is “terminal information # 1”, and the communication device information of the communication device installed at a position where the terminal device 101 can communicate with the communication device information “ This indicates that the communication device is “# 1”. When the terminal device 101 transmits the position information or the like to the determination server 300 via the communication device, the communication device information is the communication device that has transferred the position information transmitted from the terminal device 101 to the determination server 300. IP address etc.

  In the example illustrated in FIG. 9, conceptual values such as “position # 1”, “terminal information # 1”, and “communication device # 1” are described, but the embodiment is not limited thereto. . For example, in the position history database 31, values such as north latitude east longitude and latitude longitude measured using GPS are registered as “position information”, and the model name, model number, and OS of the terminal device 100 are registered as “terminal information”. Are registered, and as “communication device information”, the IP address of the communication device, the SSID used by the communication device, and the like are registered. Of the items shown in FIG. 9, the information of items that could not be collected by the determination server 300 may not be registered.

  In the estimation result database 32, an estimation result by an estimation process described later is registered. More specifically, in the estimation result database 32, estimation result information indicating the correspondence between the estimated terminal device 100 and the base is registered. For example, FIG. 10 is a diagram illustrating an example of information registered in the estimation result database 32 according to the embodiment. In the example illustrated in FIG. 10, estimation result information including items such as “location ID”, “location information”, “terminal ID”, “user ID”, and “room number” is registered in the estimation result database 32. The In addition, in the estimation result database 32, estimation result information having arbitrary items other than the items illustrated in FIG. 10 may be registered.

  Here, the “base ID” is an identifier for identifying a place as a scaffold for the user's activity, that is, a place as the base. Here, the base may be, for example, a predetermined facility such as a workplace, a temporary house, a park or the like as long as it is a place where the user visits regularly as well as the house where the user lives. Furthermore, the base may be a predetermined point or the like that actually exists as long as the position can be specified. For example, the base may be a reception at a predetermined workplace, a guardhouse of a building, or the like. That is, as the base, any point can be adopted as long as it is a place where a visitor can meet a user or a place that is a unit for making a visit in a service for making a visit.

  In addition, in the example shown in FIG. 10, the example which employ | adopted the room where each user lives as an example of a base was described. For example, the “room number” shown in FIG. 10 is the number of the room based on the user indicated by the associated “user ID” among the facilities at the position indicated by the associated “location information”. It is information which shows.

  For example, in the example illustrated in FIG. 10, the estimation result database 32 includes a base ID “base # 1”, location information “position # 1”, terminal IDs “ID101, ID102”, user IDs “U01, U02”, and The estimation result information associated with the room number “R21” is registered. Such estimation result information is a room indicated by the room number “R21” among the rooms in the facility where the base indicated by the base ID “base # 1” exists in the position information “position # 1”. Indicates that the users U01 and U02 who use the terminal devices 101 and 102 indicated by the terminal IDs “ID101 and ID102” are based.

  In the home probability database 33, home probability information indicating the specified home probability is registered by a specific process described later. More specifically, at-home probability database 33 registers at-home probability information indicating the probability that a user is present at each base for each time zone. For example, FIG. 11 is a diagram illustrating an example of information registered in the at-home probability database 33 according to the embodiment. In the example illustrated in FIG. 11, the home probability database 33 registers home probability information that associates the “base ID” with the probability that the user is at the base for each time slot.

  For example, in the example illustrated in FIG. 11, the home probability database 33 registers the probability “70%” that the user exists at the base indicated by the base ID “base # 1” for “10: 0 to 11:00”. In addition, the probability “80%” that the user exists between “11: 00 and 12:00” is registered. Also, in the home probability database 33, the probability “80%” that the user exists at “10:00 to 11:00” at the base indicated by the base ID “base # 2” is registered. The probability “20%” that the user is present for “12:00” is registered.

  Returning to FIG. 8, the description will be continued. The control unit 40 is stored in a storage device inside the determination server 300 by, for example, a central processing unit (CPU), a micro processing unit (MPU), an application specific integrated circuit (ASIC), or a field programmable gate array (FPGA). The various programs are executed by using a storage area such as a RAM as a work area. In the example illustrated in FIG. 8, the control unit 40 includes a collection unit 41, an estimation unit 42, a determination unit 43, a specification unit 44, and an information provision unit 45.

  The processing units 41 to 45 included in the control unit 40 realize and execute functions and operations of estimation processing and determination processing as described below, but these are functional units arranged for explanation. It does not matter whether it matches the actual hardware elements or software modules. That is, the determination server 300 may realize and execute the estimation process and the determination process in an arbitrary function unit as long as the following estimation process and determination process functions and actions can be realized and executed.

[2-2. Example of effects in estimation processing and judgment processing]
Hereinafter, the contents of the estimation process and the determination process executed and realized by the processing units 41 to 45 will be described with reference to the flowchart shown in FIG. FIG. 12 is a flowchart illustrating an example of a flow of estimation processing and determination processing executed by the determination server according to the embodiment.

  First, the collection unit 41 collects position information from each terminal device 101 to 104 (step S101). For example, the terminal device 100 acquires position information at predetermined time intervals. Further, as will be apparent from the description to be described later, the terminal device 100 collects various types of information that can serve as an index for estimating the base in addition to the position information. For example, the terminal device 100 acquires communication device information of a communication device with which the terminal device 100 communicates at the base, such as an SSID of a wireless router provided in the house. In addition, the terminal device 100 acquires the user ID of the user who uses the terminal device 100, for example, through user authentication in a predetermined web service or application. The terminal device 100 includes the terminal ID of the terminal device 100, the user ID of the user who uses the terminal device 100, the acquired location information, the date and time when the location information was acquired, the acquired communication device information, and the terminal device 100. Terminal information indicating the OS, browser, and the like is transmitted to the determination server 300. As a result, the collection unit 41 stores the acquired various types of information as position history information in the position history database 31 (step S102).

  Note that the collection unit 41 may collect information other than position information by an arbitrary method. For example, when the collection unit 41 acquires position information from the terminal device 100, the IP address associated with the terminal device 100 that is the transmission source of the position information by lending or address conversion, the MAC address used by the terminal device 100, or the like The terminal ID and the user ID of the user who uses the terminal device 100 may be collected from a server or the like that provides a mobile communication network service to the terminal device 100 using the identification information as a key. In addition, for example, the collection unit 41 collects the user ID of the user who has logged in via the terminal device 100 from a reception server that accepts the login of the user in order to provide a predetermined web service or the like. Also good.

  The collection unit 41 may collect terminal information and communication device information from various types of information that can be acquired when position information is received from the terminal device 100. For example, the collection unit 41 may acquire, as terminal information, the name and version of the OS assigned when the terminal device 100 transmits information. The collection unit 41 can acquire the IP address and port number of the communication device as the IP address and port number of the transmission source of the position information when the position information is transmitted via the communication device arranged at the base. is there. Therefore, the collection unit 41 may collect the IP address or port number that is the transmission source of the position information as communication device information.

  Next, the estimation unit 42 specifies a place where each user has visited from the position history information registered in the position history database 31 (step S103). More specifically, the estimation unit 42 identifies all places where the terminal devices 100 stayed by extracting all sets of terminal IDs and position information registered in association with the position history database 31. . And the estimation part 42 estimates the response | compatibility with each terminal device 100 and a base based on the quantity (henceforth a stay amount) which each terminal device 100 stayed at each place (step S104). More specifically, the estimation unit 42 identifies a location that is a base of a user who uses the terminal device 100 based on the stay amount of the terminal device 100, and the identified location and the terminal used by the user. The device 100 is associated. And the estimation part 42 registers an estimation result in the estimation result database 32 (step S105).

  For example, the estimation unit 42 refers to the position history database 31 and extracts all position history information including the terminal ID “ID101” indicating the terminal device 101. And the estimation part 42 pinpoints the place where the user who uses the terminal device 101 visited based on the positional information contained in the extracted positional history information. For example, the estimation unit 42 specifies the address or facility name of the place where the user has visited. Subsequently, the estimation unit 42 calculates the stay amount in which the terminal device 100 or the user stays at the specified location based on the collection time included in the extracted location history information. For example, the estimation unit 42 calculates at least one of the number of times the terminal device 100 is present, the length of time that the terminal device 100 has stayed, and the time zone in which the terminal device 100 has stayed for each identified location. . That is, the estimation unit 42 identifies a place where the user using the terminal device 100 has visited, and at least one of the number of times the user has visited the specified place, the period of stay, and the time period during which the user stayed is determined. Calculated as stay amount.

  Then, the estimation unit 42 estimates a base corresponding to the terminal device 100, that is, a base where a user who uses the terminal device 100 is a residence or a business company or the like based on the stay amount. That is, the estimation unit 42 estimates the correspondence between each base and the user based on the heat map of the place visited by the user.

  For example, when a user visits a predetermined place during the day, the place or an area including the place is predicted to be the user's workplace. For example, when a user stays at a predetermined place for a long time during the night, the place is predicted to be the user's house. Also, if the user is a full-time housewife, etc., the place with the longest stay is predicted to be the user's residence, and if the user is an office worker, the place with the longest stay is used. It is predicted that it is the workplace of a person who is a senior citizen.

  Thus, when a user visits a place such as a workplace or a house, a predetermined pattern is predicted to occur. Therefore, the estimation unit 42 calculates the stay amount of the user (that is, the stay amount of the terminal device 100) based on the position history information, and based on the calculated stay amount, which base is at which user's base. In other words, it is possible to estimate the correspondence between the base and the user.

  Moreover, the estimation part 42 estimates a user's base based on the frequency | count and the amount of time each terminal device 100 stayed. For this reason, for example, the estimation unit 42 has a certain amount of error in the position information acquired from the terminal device 100, and even if the position indicated by the position information is slightly different each time it is acquired, the user can repeatedly The visited area and the area where the user stays for a long time can be estimated as the base of the user. For this reason, the estimation part 42 can estimate a user's base, even if there exists a certain amount of error in the positional information acquired from the terminal device 100.

  Here, in the housing complex, there are rooms R11, R12, R21 in which the users U01 to U04 live (see FIG. 10). In such a case, since the location information collected from each of the terminal devices 101 to 104 is similar, when the base of each user U01 to U04 is estimated from the location information, it is possible to estimate the apartment house as the base. However, it may not be possible to estimate which room R11, R12, R21 each user U01 to U04 is based on.

  Therefore, in addition to the position information, the estimation unit 42 determines whether the terminal devices 101 to 104 and the bases are based on the terminal device information about each terminal device 100 and the communication device information about the communication device that communicates with each terminal device 100. By estimating the association, the bases of the users U01 to U04 are estimated.

  For example, in a housing complex such as an apartment or an apartment, a communication device for connecting to a network such as the Internet is installed for each room, and a different SSID is predicted for each communication device. Also, in buildings and the like including a plurality of commercial facilities, communication devices that can be identified by different SSIDs are often installed for each commercial facility.

  For example, the wireless router installed in the room R21 and the wireless router installed in the room R11 are considered to use different SSIDs. For this reason, when the correspondence between the SSID used by the communication device and the room in which the communication device is installed can be specified, the information on the SSID used by the communication device with which the terminal device 100 can communicate is the apartment house. Among them, it can be an index for identifying the room where the user is based. When a room can be specified for at least one of a plurality of terminal devices 100 using the same SSID by user registration information or the like in some service, the correspondence with the room for all the terminal devices 100 using the same SSID Can be attached.

  In addition, different global IP addresses may be lent to communication devices when viewed from the network N side. In such a case, the terminal device 100 capable of communicating with the communication device is lent with a set of an IP address and a port number lent to the communication device when viewed from the network N side. It becomes. For this reason, the information on the IP address lent to the communication device with which the terminal device 100 can communicate can be an index of which room R11, R12, R21 the user is based in in the apartment house.

  In an apartment house, etc., one IP address is lent to a communication device that is a master unit connected to all communication devices installed in each room R11, R12, R21 (that is, in the entire apartment house). One global IP address is lent), and the communication device installed in each room may be designated from the network N side by the port number. In such a case, when the terminal device 100 transmits the position information to the determination server 300 via the communication device installed in the room, on the determination server 300 side, the IP address and port number of the communication device that is the transmission source By using this, it is possible to specify through which communication device the terminal apparatus 100 has transmitted the position information. For this reason, the information on the IP address and the port number lent to the communication device with which the terminal device 100 can communicate can be an index as to which room R11, R12, R21 the user is based in in the housing complex.

  In addition, Internet service providers (ISPs) (hereinafter referred to as “providers”) are selected and contracted for each room, including cases where communication equipment is installed in each room of the apartment. It will be done by the user (per residence). As described above, the SSID, IP address, port number used by the communication device, and various information related to the communication device, such as the provider used when the communication device is connected to the network N, can be obtained from the provider's system from the apartment system room number. By receiving provision of information on the contract address including it, the user of the terminal device 100 that can communicate with the communication device can serve as an index for identifying the room at the base.

  In addition, a user who works for the same company may be provided with the terminal device 100 from the company, but the terminal device 100 supplied from the company is often provided with a common model. . In addition, different companies are expected to be provided with different types of terminal devices 100. For this reason, for example, when a plurality of companies are occupying the same building, the type of the terminal device 100 used by each user is the company in which each user works, that is, each user is a base. It can be an indicator to estimate the companies that are present.

  In addition, the version and model number of the OS, browser, and application executed by the terminal device 100 may vary depending on the model of the terminal device 100. For this reason, the model number of the terminal device 100 and the version and model number of the OS, browser, application, etc. executed by the terminal device 100 can be an index for identifying a user who is based in the same business destination. In addition, a plurality of users who are based in the same home or the same company are likely to be using a mobile communication network service by the same carrier.

  Therefore, the collection unit 41 collects not only the SSID of the communication device but also the IP address and port number of the communication device, provider information, and the like as communication device information. Further, the collection unit 41 collects the version, model number, carrier, and the like of the OS, browser, and application of each terminal device 100 as terminal device information. And the estimation part 42 estimates the base corresponding to each terminal device 100 from the several bases which exist in the same place based on the commonality, a difference, etc. of terminal device information and communication apparatus information in addition to a position history. To do.

  Further, the estimation unit 42, for each base, the base ID, the position information indicating the location of the base indicated by the base ID, the terminal ID of the terminal device 100 used by the user based on the location indicated by the positional information, The estimation result information in which the user ID of the user based on the location indicated by the position information is associated is generated. Then, the estimation unit 42 registers the generated estimation result information in the estimation result database 32.

  For example, when the position information acquired from the terminal devices 101 to 104 indicates the position of the apartment house during the night, the estimation unit 42 has the users U01 to U04 of the terminal devices 101 to 104 based on the apartment house. Estimated. In addition, when the communication device information acquired from the terminal devices 101 and 102 is the same and the communication device information acquired from the terminal devices 103 and 104 is different, the estimation unit 42 has users U01 and U02 of the terminal devices 101 and 102, respectively. Are based on a common room, and the users U03 and U04 of the terminal devices 103 and 104 are estimated to be based on different rooms.

  Further, from the IP address of the communication device, the provider, and the like, the room where the communication device is installed can be specified based on the customer information and the like possessed by the provider. For example, in the customer information management server in which the provider manages customer information, the value of the IP address lent to each communication device, customer information using each communication device, and the like are registered. Such customer information includes the address and user ID of the user who uses each communication device, the address including the room number of the room where each communication device is installed, and the like.

  Therefore, the estimation unit 42 acquires information managed by the provider's customer information management server included in the communication device information, and based on the communication device information received from the terminal device 100, a communication device capable of communicating with the terminal device 100 is obtained. Identify the room where it is installed. For example, the collection unit 41 collects IP addresses lent to communication devices with which the terminal device 100 can communicate together with the position information from the terminal device 100. In another example, when the terminal device 100 transmits position information via a communication device, the collection unit 41 is a communication that allows the terminal device 100 to communicate an IP address or a port number indicating a transmission source of the position information. Collect as device IP address and port number.

  On the other hand, the estimation unit 42 notifies the customer information management server of the IP address and port number collected by the collection unit 41. In such a case, the customer information management server identifies the communication device that is lent to the notified IP address and port number, and the user who uses the identified communication device and the identified communication device are installed. Identify the room in the customer information. Then, the customer information management server transmits a user ID indicating the specified user and a room number indicating the specified room to the determination server 300. In such a case, the estimation unit 42 registers the received user ID and the room number in the estimation result database 32 in association with each other.

  Here, the user's address included in the customer information is considered to be the address of the user's base. Therefore, the estimation unit 42 may estimate the base of the user who uses the terminal device 100 from the customer information managed by the customer information management server based on the user ID received from the terminal device 100. For example, the estimation unit 42 notifies the customer information management server of the user ID received from the terminal device 100. In such a case, the customer information management server specifies the customer information of the user indicated by the notified user ID, information on the communication device used by the user, and the like, and uses the specified customer information and information on the communication device. It transmits to the determination server 300. In such a case, the estimation unit 42 identifies position information, a room number, and the like of the location where the user using the terminal device 100 is based from the user's address included in the received customer information. The information and room number are registered in the estimation result database 32 in association with the user ID.

  For example, the determination server 300 collects communication device information and terminal information including SSIDs of communication devices to which the terminal device 101 can be connected from the terminal device 101 used by the user U01, and collects the collected communication device information and terminal. When it is estimated from the information that the base of the user U01 is the room R21, the correspondence between the SSID of the communication device and the room R21 which is the base where the communication device is installed is estimated. Therefore, when the base corresponding to the SSID included in the collected communication device information has been estimated, the estimation unit 42 sets the estimated base as the base of the terminal device 100 that is the collection source of the communication device information. Also good.

  As a result, for example, the estimation unit 42 can estimate that the users U01 and U02 of the terminal devices 101 and 102 are based on the room R21 of the apartment house. Further, the estimation unit 42 can estimate that the user U03 of the terminal device 103 is based on the apartment house room R11 and the user U04 of the terminal device 104 is based on the apartment house room R12.

  Note that the estimation unit 42 may execute a process of estimating each user's base using any method other than the above-described processes. As described above, information used to identify a room in which each communication device is installed, such as communication device information such as an IP address and a port number that is lent to each communication device, Depending on the route for collecting communication device information from the device, the route for the determination server 300 to receive location information from the terminal device 100, the connection configuration of each communication device in the apartment house, and the like.

  Therefore, the collection unit 41 is used in communication with the terminal device 100 such as not only communication device information such as the SSID and the IP address of the communication device but also any information that can be acquired regarding the route through which the terminal device 100 accesses the network N. Various types of information may be collected as communication information. In such a case, the communication device information is collected as a part of the communication information. And the estimation part 42 may perform the estimation of the base in which the communication apparatus with which the terminal device 100 can communicate is installed based on the collected communication information. In addition, the estimation unit 42 selects information used for base estimation from communication information based on information indicating a route through which the terminal device 100 accesses the network N, and performs base estimation based on the selected information. You may go.

  Moreover, the estimation part 42 may estimate a user's base from terminal information. For example, in the management server in which the carrier of the terminal device 100 supplied by the company or the like to the user manages the customer information, the company information such as the address of the company that is the supply source of the terminal device 100, the model of the terminal device 100, etc. And the type of software to be executed are registered in association with each other. Therefore, the estimation unit 42 transmits the position information received from the terminal device 100 and the terminal information received from the terminal device 100 as a query to the management server. Then, the management server transmits company information corresponding to the position information and terminal information received as a query to the determination server 300. In such a case, the estimation unit 42 may register the received company information in the estimation result database 32 as information indicating the user's base.

  Subsequently, the determination unit 43 determines whether there is a user of the terminal device 100 corresponding to the base at the base to be visited based on the estimation result by the estimation unit 42 (step S106). More specifically, the determination unit 43 selects one of a plurality of users who use the terminal device 100 corresponding to the base as a destination, that is, the base designated as the delivery destination of the package. It is determined whether there are any users. If the determination unit 43 determines that any user is at the base, the determination unit 43 transmits that fact to the delivery processing device 10.

  For example, the determination unit 43 receives information on a base serving as a delivery destination from the delivery processing device 10 or the like. In such a case, the determination unit 43 refers to the estimation result database 32 and extracts the terminal ID associated with the base ID of the base that is the delivery destination. In addition, the determination unit 43 obtains position information that is the latest position information among the position information received from the terminal device 100 indicated by the extracted terminal ID and for which a predetermined time has not elapsed since the acquisition, as a position history. Search from the database 31.

  And the determination part 43 determines with a user being in a base, when the positional information obtained as a search result corresponds with the position of the base contained in the estimation result database 32. FIG. On the other hand, when the position information cannot be obtained as a search result or when the position information obtained as a search result does not match the position of the base included in the estimation result database 32, the determination unit 43 Is determined not to be at the base. Then, the determination unit 43 transmits the determination result to the delivery processing device 10 via the information providing unit 45.

  For example, as illustrated in FIG. 10, the terminal device 101 of the user U01 and the terminal device 102 of the user U02 are associated with the room R21 serving as the base, and the user R04 includes the terminal device 102 of the user U02. A terminal device 104 is associated. Here, since the position information acquired from the terminal device 101 does not match the position information of the apartment house, it can be specified that the user U01 is absent. Further, since the position information acquired from the terminal device 102 matches the position information of the apartment house (or is located within a predetermined range), it can be specified that the user U02 is at the base.

  Here, when delivering a package addressed to the user U01, even if there is no user U01 in the room R21, if there is a user U02 based in the room R21, the package can be visited and delivered. For this reason, the determination unit 43 determines that a visit is possible when any of the users U01 and U02 based on the room R21 is present (for example, the user U02). On the other hand, when there is no user U04 based in the room R12 in the room R12 serving as the base, the determination unit 43 determines that a visit to the room R12 is not possible.

  As described above, when a plurality of terminal devices are associated with a base serving as a delivery destination, and any one of these terminal devices is located at the same location as the base, use using that location as the base It can be estimated that one of the users is at the base. Here, if there is even one user at the base, delivery of the package is possible. Therefore, the determination unit 43 determines that delivery is possible if any of the users associated with the base serving as the delivery destination is at the base.

  Returning to FIG. 12, the description will be continued. The specifying unit 44 calculates the probability that any of the users corresponding to each site is present for each time slot (step S107). And the specific | specification part 44 specifies the time slot | zone when the probability that the user of the terminal device 100 exists in a base is higher than a predetermined | prescribed threshold value based on the log | history which stayed in the base to which the terminal device 100 respond | corresponds. Thereafter, the specifying unit 44 registers the calculation result in the at-home probability database 33 (step S108).

  For example, the specifying unit 44 extracts the correspondence between the base and the user from the estimation result database 32. And the specific | specification part 44 calculates the probability that the user matched with the base remained at the extracted base for every time zone with reference to the position history database 31. For example, the specifying unit 44 calculates the probability that the user U01 or the user U02 is in the room R21 from “10:00 to 11:00”. And the specific | specification part 44 registers into the at-home probability database 33 the probability calculated for every time slot | zone as at-home probability information.

  Subsequently, the information providing unit 45 transmits the determination result by the determining unit 43 to the delivery processing device 10 together with the at-home probability information specified by the specifying unit 44 (step S109). More specifically, the information providing unit 45 transmits the home probability information registered in the home probability database 33 together with the estimation result by the estimation unit 42 to the delivery processing device 10.

  In addition, each process part 41-45 shall each be able to divide | segment and perform the process shown to each step S101-S108 in FIG. 12 by arbitrary granularity. For example, the collection unit 41 may execute steps S101 and S102 at predetermined time intervals. Moreover, the estimation part 42 may perform the process shown to step S103-S105, ie, an estimation process, by a predetermined time interval. In addition, the determination unit 43 may execute the predetermined process shown in step S106, that is, the determination process at predetermined time intervals or when a request is received from the delivery processing device 10. The specifying unit 44 may execute the processes shown in steps S107 and S108, that is, the specifying process at a predetermined time interval.

[2-3. Modifications in the judgment server]
The determination server 300 according to the above-described embodiment may be implemented in various forms other than the above-described embodiment. Therefore, another embodiment of the determination server 300 will be described.

[2-4. (About change of base)
In the above description, the determination server 300 estimates the correspondence between each base and each user U01 to U04. However, depending on the users U01 to U04, the base may change from time to time. For example, a user may be a company during the day and a house during the night. In addition, for example, an individual business owner or the like may not have a base during the day, and a company may be the base during the evening or night time. Therefore, the determination server 300 may estimate the user's base for each time zone based on the time zone when the position information is acquired.

  For example, the determination server 300 estimates the work place of the user U04 as the base of the user U04 during the daytime, and estimates the room R12 as the base of the user U04 during the nighttime. Then, the determination server 300 may determine that there is no user based in the room R12 during the daytime. Further, the determination server 300 may specify the base of the user U04 in the time zone for the visit, and may specify the specified base as the visited place. Further, the determination server 300 may determine that the room R12 is not the base of the user U04 during the daytime period, and may determine that the package cannot be delivered to the room R12.

[2-5. About identification of users)
Further, the determination server 300 may specify a user who uses the terminal device 100 by an arbitrary method. For example, the determination server 300 may accept pre-registration that the user who uses the terminal device 101 is the user U01, and may obtain information on the user U01 from the carrier of the terminal device 101, for example. . In addition, when the user U01 logs in to the auction site or the like using the terminal device 101, the determination server 300 stores the information used by the user U01 for login, the registration authentication information registered in advance by the user U01, or the like. Or the like. Further, the determination server 300 may acquire these pieces of information from a server device that manages various types of information, or may acquire the information from the terminal device 101.

  For example, the determination server 300 may specify a user who uses the terminal device 100 based on the identification information from the terminal device 100. For example, the terminal device 100 stores registration authentication information and the like input by the user when logging in to an auction site or the like, and transmits the stored registration authentication information together with the position information to the determination server 300, whereby the terminal device 100 You may be notified of the users who use. That is, the determination server 300 may collect the terminal ID, user ID, terminal information, and communication device information registered as the position history information by an arbitrary method.

  Further, the determination server 300 does not need to specify correspondence between all users and the terminal device 100. For example, the determination server 300 does not need to specify the correspondence between the user and the terminal device 100 when the user at the visited site does not have to be the recipient of the package, such as a package delivery service. Only the correspondence between the user of the department and the terminal device 100 may be specified. That is, if the determination server 300 can estimate only the correspondence between the terminal device 100 and the base of the user who uses the terminal device 100, that is, the correspondence between the terminal device 100 and the base, the determination server 300 determines whether or not the terminal device 100 is present. Based on this, it may be determined whether or not each base can be visited. When performing such a process, for example, the determination server 300 may not specify or register the “user ID” in the estimation result database 32 illustrated in FIG. 10.

[2-6. About SSID]
In the above description, the determination server 300 uses the position information acquired by the terminal device 100 using positioning means such as GPS as the position history information. However, the embodiment is not limited to this. For example, the determination server 300 may specify the position of the terminal device 100 using communication device information such as SSID. For example, the determination server 300 stores the SSID, IP address, MAC address, port number, and the like set in the communication device in association with the location where the communication device is installed. If the determination server 300 receives communication device information from the terminal device 100, the determination server 300 may specify a position associated with the communication device information and set the specified position as the position of the terminal device 100.

[3. effect]
As described above, the delivery processing apparatus 10 includes the distribution unit 7 and the output unit 8. The sorting unit 7 sorts the packages loaded on the delivery vehicle based on the probability of being at home in each time zone of each user corresponding to the base to which the packages are delivered. The output unit 8 outputs an instruction to load a baggage according to the sorting by the sorting unit 7. Thereby, the delivery processing apparatus 10 can improve the efficiency of delivery of the package to the delivery destination by the delivery vehicle.

  Further, in the delivery processing device 10, the sorting unit 7 sorts the packages based on the at-home probability in each time zone and the delivery route information of the delivery vehicle. Thereby, the delivery processing apparatus 10 can deliver a package to a more optimal delivery vehicle.

  Further, in the delivery processing device 10, the sorting unit 7 sorts the packages based on the at-home probability in each time zone and the designated delivery time of the packages by each user. Thereby, the delivery processing apparatus 10 can deliver a package to the delivery vehicle in a time zone according to each user's request.

  Further, in the delivery processing device 10, the sorting unit 7 sorts the packages based on the at-home probability in each time zone and the evaluation information of the driver driving the delivery vehicle. As a result, the delivery processing apparatus 10 can preferentially sort the packages with respect to a driver having a high delivery capability.

  Further, in the delivery processing device 10, the sorting unit 7 is provided to a plurality of delivery vehicles so that a plurality of packages are distributed when there are a plurality of packages that are in the same delivery time zone and have a relatively high home probability. Sort the luggage against. Thereby, the delivery processing apparatus 10 can distribute the burden of delivery to a plurality of delivery vehicles.

  Further, in the delivery processing device 10, when there are a plurality of packages having a relatively low home probability, the distribution unit 7 distributes the packages to the plurality of delivery vehicles so that the plurality of packages are distributed. Thereby, the delivery processing apparatus 10 can distribute the burden of delivery to a plurality of delivery vehicles.

  Further, in the delivery processing device 10, the sorting unit 7 generates delivery route information by permuting the information on the bases corresponding to the sorted packages in the order of the time zone with the highest home probability. As a result, the delivery processing device 10 can deliver the package via a more optimal route to the delivery vehicle.

  Further, in the delivery processing device 10, the output unit 8 outputs an instruction to load a load according to the sorting by the sorting unit 7 to the loading device 200 that loads the load on the delivery vehicle. As a result, the delivery processing apparatus 10 can automatically load the luggage onto the delivery vehicle.

  Further, the loading device 200 includes a plurality of baggage discharge positions for a single moving body, and the output unit 8 outputs a plurality of baggage items in the order of the time zone in which the home probability is high or the order of delivery route information. An instruction is output to the stacking apparatus 200 so that it is discharged to any of the baggage discharge positions. As a result, the load discharged from the load discharge position of the loading device 200 can be efficiently loaded into a delivery vehicle by a human delivery person such as a robot.

  Further, in the delivery processing device 10, the home probability of each user in each time zone and the base that is the delivery destination of the package are estimated from the history of location information indicating the location of the terminal device used by each user. Thereby, the delivery processing apparatus 10 can obtain the home probability in each time zone of each user and the base that is the delivery destination of the package with high accuracy.

  Further, the determination server 300 estimates the correspondence between the terminal device 100 and the base from the position history information that is a history of position information indicating the position of the terminal device 100. Then, based on the estimation result, the determination server 300 determines whether or not there is a user of the terminal device 100 corresponding to the base at the base to be visited.

  Further, the determination server 300 can link the base and the user even if the correspondence between the terminal device 100 or the user who uses the terminal 100 and the base of the user is not registered in advance. As a result, the determination server 300 can easily determine whether or not the user is at the base to be visited without prior registration. Moreover, since the determination server 300 prevents the number of missed visits and the number of revisits in various visit services, it is possible to improve profitability. In addition, since the determination server 300 can be based on an arbitrary place as long as it can be associated with a user, for example, a visit service such as a delivery service is provided to a user whose address is indefinite. Can be provided.

  Further, the determination server 300 estimates a base corresponding to the terminal device 100 based on the amount of the terminal device 100 remaining at each position indicated by the position history information. For example, the determination server 300 uses at least one of the number of times that the terminal device 100 stays, the length of time that the terminal device 100 stays, and the time zone in which the terminal device 100 stays as the amount that the terminal device 100 stays. Based on this, the base corresponding to the terminal device 100 is estimated.

  For this reason, the determination server 300 can specify the place where the user of each terminal device 100 is really based. For example, the determination server 300 can increase the reliability that the location is the user's base as the user stays longer. When such processing is executed, it is possible to estimate users who have stayed at the visited place for a long time, that is, users who are actually based at the visited place. As a result, for example, the determination server 300 is a user who pretends to be based on a visited place, for example, by sneaking into the visited place or waiting at the entrance of the visited place even though the visited place is not based. You can prevent situations such as handing over your luggage.

  Further, the determination server 300 estimates a base corresponding to the terminal device 100 from a plurality of bases existing at the same place based on the terminal device information related to the terminal device 100 in addition to the position history information. In addition to the location history information, the determination server 300 selects a location corresponding to the terminal device 100 from a plurality of locations existing at the same location based on communication device information related to a communication device communicating with the terminal device 100 at the location. presume. For this reason, the determination server 300 can appropriately estimate the correspondence between a plurality of bases in the same place, such as the rooms R11 to R21 in the apartment house, and each user.

  In addition, the determination server 300 determines whether any of the plurality of users who use the terminal device 100 corresponding to the base to be visited is at the base, and any of the users If it is determined that there is a user, it is determined that there is a user at the base. For this reason, for example, the determination server 300 can determine whether or not it is possible to deliver the package to the user's family or the like even when the user who is the destination does not exist.

  Further, the determination server 300 determines whether there is a user of the terminal device 100 corresponding to the base at the base designated as the delivery destination of the package. Therefore, the determination server 300 can reduce the number of missed visits and revisits in the delivery service based on the determination result.

  Further, the determination server 300 identifies a time zone in which the possibility that the user of the terminal device 100 is at the base is higher than a predetermined threshold based on the history of staying at the base to which the terminal device 100 corresponds.

[4. Hardware configuration]
The delivery processing apparatus 10 according to the embodiment described above is realized by, for example, a computer 400 configured as shown in FIG. Hereinafter, the delivery processing apparatus 10 will be described as an example. FIG. 13 is a hardware configuration diagram illustrating an example of a computer 400 that realizes the functions of the delivery processing apparatus 10. The computer 400 includes a CPU 410, a RAM 420, a ROM 430, an HDD 440, a communication interface (I / F) 450, an input / output interface (I / F) 460, and a media interface (I / F) 470.

  The CPU 410 operates based on a program stored in the ROM 430 or the HDD 440 and controls each unit. The ROM 430 stores a boot program executed by the CPU 410 when the computer 400 is started up, a program depending on the hardware of the computer 400, and the like.

  The HDD 440 stores a program executed by the CPU 410, data used by the program, and the like. The communication interface 450 receives data from other devices via the network N and sends the data to the CPU 410, and transmits the data generated by the CPU 410 to other devices via the network N.

  The CPU 410 controls an output device such as a display and a printer and an input device such as a keyboard and a mouse via the input / output interface 460. The CPU 410 acquires data from the input device via the input / output interface 460. Further, the CPU 410 outputs the generated data to the output device via the input / output interface 460.

  The media interface 470 reads a program or data stored in the recording medium 480 and provides it to the CPU 410 via the RAM 420. The CPU 410 loads such a program from the recording medium 480 onto the RAM 420 via the media interface 470, and executes the loaded program. The recording medium 480 is, for example, an optical recording medium such as a DVD (Digital Versatile Disk) or PD (Phase change rewritable disk), a magneto-optical recording medium such as an MO (Magneto Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. It is.

  For example, when the computer 400 functions as the delivery processing apparatus 10 according to the embodiment, the CPU 410 of the computer 400 implements the function of the control unit 13 by executing a program loaded on the RAM 420. The HDD 440 stores data in the storage unit 12. The CPU 410 of the computer 400 reads these programs from the recording medium 480 and executes them, but as another example, these programs may be acquired from other devices via the network N.

[5. Others]
As described above, some of the embodiments of the present application have been described in detail with reference to the drawings. However, these are merely examples, and various modifications, including the aspects described in the disclosure section of the invention, based on the knowledge of those skilled in the art, It is possible to implement the present invention in other forms with improvements.

  In addition, among the processes described in the above embodiment, all or part of the processes described as being performed automatically can be performed manually, or all of the processes described as being performed manually are performed. Alternatively, a part can be automatically performed by a known method. In addition, the processing procedures, specific names, and information including various data and parameters shown in the document and drawings can be arbitrarily changed unless otherwise specified. For example, the various types of information illustrated in each drawing is not limited to the illustrated information.

  Further, each component of each illustrated apparatus is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution / integration of each device is not limited to that shown in the figure, and all or a part thereof may be functionally or physically distributed or arbitrarily distributed in arbitrary units according to various loads or usage conditions. Can be integrated and configured.

  In the above embodiment, the determination server 300 implements / executes the estimation processing and determination processing functions / actions. However, the delivery processing device 10 has the estimation processing and determination processing functions / operations of the determination server 300. In addition, the delivery processing device 10 may realize and execute functions and operations of estimation processing and determination processing.

  In addition, the processes described in the embodiments described above can be appropriately combined within a range in which the process contents are not contradictory.

  For example, the delivery processing apparatus 10 described above may be realized by a plurality of server computers, and depending on the function, an external platform or the like may be realized by calling an API (Application Programming Interface) or network computing. Can be changed flexibly.

  Moreover, the above-mentioned “section (module, unit)” can be read as “means”, “circuit”, and the like. For example, the distribution unit can be read as a distribution means or a distribution circuit. Moreover, this embodiment can be applied not only to delivery vehicles but also to drones and other mobile objects. Also, the type of package, such as a package, mail, or postcard, is not limited. Further, the correspondence between the base and the user is not limited to residence, but may be work, stay or other correspondence.

DESCRIPTION OF SYMBOLS 1 Delivery processing system 10 Delivery processing apparatus 11 Communication part 12 Storage part 13 Control part 2 Home probability database 3 Luggage database 4 Delivery database 5 Acquisition part 6 Specification part 7 Sorting part 8 Output part 200 Loading apparatus 300 Judgment server 400 Computer

Claims (13)

A sorting unit that sorts the packages to be loaded on the mobile body based on the at-home probability of each user corresponding to the base to which the packages are delivered;
A delivery processing apparatus comprising: an output unit that outputs an instruction to load the package according to the sorting by the sorting unit. The distribution unit is
The delivery processing apparatus according to claim 1, wherein the packages are sorted based on a home probability in each time zone and delivery route information of the mobile body. The distribution unit is
The delivery processing apparatus according to claim 1 or 2, wherein the package is distributed based on a home probability in each time zone and a specified delivery time of the package by each user. The distribution unit is
The delivery processing apparatus according to any one of claims 1 to 3, wherein the packages are sorted based on a home probability in each time zone and evaluation information of an operator who operates the mobile body. The distribution unit is
When there are a plurality of the packages that are in the same delivery time zone and have a relatively high probability of being at home, the packages are distributed to a plurality of the mobile bodies so that the plurality of packages are distributed. The delivery processing apparatus according to any one of claims 1 to 4. The distribution unit is
6. When there are a plurality of the parcels having a relatively low home probability, the parcels are distributed to a plurality of the mobile bodies so that the plural parcels are distributed. The delivery processing apparatus according to one. The distribution unit is
7. The delivery route information is generated by permuting the information on the base corresponding to the sorted package in order of increasing time at home so that the time zone is high. The delivery processing apparatus as described. The output unit is
The delivery processing device according to any one of claims 1 to 7, wherein the instruction is output to a loading device that loads a load on the movable body. The loading device includes a plurality of baggage discharge positions for a single moving body,
The output unit discharges the package to any one of the plurality of package discharge positions for each group in the order of the time period in which the home probability is high or the order of the delivery route information of the mobile body. The delivery processing device according to claim 8, wherein the instruction is output to the loading device. The home probability of each user at each time zone is:
The delivery processing device according to claim 1, wherein the delivery processing device is estimated from a history of location information indicating a location of a terminal device used by each user. The location to which the package is delivered is
The delivery processing device according to claim 1, wherein the delivery processing device is estimated from a history of location information indicating a location of a terminal device used by each user. A delivery processing method executed by a computer,
A distribution step of distributing the packages to be loaded on the moving body based on the at-home probability of each user corresponding to the base to which the packages are delivered;
A delivery processing method comprising: an output step of outputting an instruction for loading the cargo according to the sorting in the sorting step. A distribution procedure for distributing the packages to be loaded on the mobile based on the at-home probability of each user corresponding to the base to which the packages are delivered;
A delivery processing program for causing a computer to execute an output procedure for outputting an instruction for loading the cargo according to the sorting by the sorting procedure.

Images