JP2013180867A - Delivery system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To make it more efficient to acquire and manage detailed information on delivery work of each delivery person which is needed after leaving a delivery center.SOLUTION: A terminal includes an operation analyzing unit analyzing movements of a delivery person based on voice information, acceleration information and position information acquired by a sensing part arranged on the terminal, and vehicle information from a vehicle used for delivery. By using work items estimated by the analyzed movements of the delivery person, delivery achievement data are generated. A delivery center has a delivery planning part making delivery schedule, a delivery schedule making/processing part making a delivery plan which is made base on the delivery schedule, and a delivery result analyzing/processing part analyzing a difference between the delivery achievement data received from the terminal and the delivery schedule. A delivery difference result made by the delivery result analyzing/processing part is reflected on the delivery schedule.

Description

  The present invention relates to a delivery system that estimates delivery time and manages delivery operations.

  In delivery work, automation of delivery information acquisition for each house is required, and today information terminals used for delivery work have advanced, obtaining business information from the delivery center, and information such as vehicle position information by sensors. Acquisition became easier.

  Further, in the delivery service, there is a demand for fine-grained customer service using a recipient's terminal based on an information service such as providing tracking information of individual packages.

  Therefore, Japanese Patent Laid-Open No. 2008-37563 (Patent Document 1) collects delivery information based on position information using GPS by a portable communication terminal for delivery service and code information of a package read by a code information reading device. The delivery business management system to be managed is described.

JP 2008-37563 A

  However, in the delivery business management system described in Patent Document 1, the position information of the receipt and delivery of goods that have passed through the barcode detector and the position of the vehicle on which the package is loaded are known, but the delivery destination is visited after the vehicle is unloaded. However, the information during the movement by walking until returning to the delivery vehicle can be grasped only to the time information.

  In addition, it is still necessary for the delivery person to input the result information of the detailed information accompanying the delivery work such as the delivery time to the delivery destination, the order of delivery, the completion of delivery, the processing at the time of absence, etc. It takes time to input, and when it is necessary to prepare daily reports after returning home, it takes time to organize them.

  There has been a demand for efficient acquisition / management of detailed information on delivery work for each delivery person required after leaving the delivery center.

  The terminal carried by the delivery person includes an operation analysis unit that analyzes the operation of the delivery person based on voice information, acceleration information, and position information acquired by the sensing unit provided in the terminal, and vehicle information from the vehicle used for delivery, The delivery result data is generated using the work item estimated from the analyzed delivery person's action.

  The distribution center analyzes a difference between a delivery plan section for creating a delivery schedule, a delivery schedule creation processing section for creating a delivery plan created based on the delivery schedule, and the delivery result data received from the terminal and the delivery schedule. A result analysis processing unit is provided, and a delivery difference result by the delivery result analysis processing unit is reflected in the delivery schedule.

  Information on delivery work after unloading a package from the vehicle is collected by the G sensor and voice sensor built in the delivery terminal, collecting the operation record and environment information of the delivery person, and analyzing the collected data to grasp the work status By accumulating these, highly accurate delivery management can be realized.

It is a figure which shows the structure of a delivery management system and a delivery center. It is a block diagram of a delivery terminal. It is a figure which shows the example of action analysis. It is a flowchart of a delivery performance data creation process. It is a figure explaining the format of delivery performance data. It is a figure explaining the format of a dictionary. It is a processing flowchart of the delivery schedule planning by the difference analysis result.

〔Example〕
FIG. 1 shows the entire delivery management system using the present invention and the configuration of its delivery center.

  In the delivery center 1, order data stored in the order DB 19 that collects delivery orders for packages from customers, map data stored in the map DB 10, traffic information stored in the traffic information DB 11, and each road The route calculation unit 12 calculates the delivery route and delivery schedule of the packages of each delivery terminal 2 using data relating to traffic information such as the traveling speed of the vehicle and stores it in the delivery schedule DB 13. From there, the delivery plan instruction unit 14 creates a delivery plan instruction 21 for each delivery person 4 or each vehicle 3 and distributes it to the delivery terminal 2.

  In actual delivery, the delivery schedule for driving the vehicle 3 is calculated based on the map data and traffic information data. After the delivery person 4 arrives at the address of the delivery destination (customer) 5 and gets off, Carry the baggage to the entrance, complete the delivery by talking with the customer, return to the vehicle 3 again, get on the next delivery destination, and calculate the details of the delivery route and delivery schedule I can't. Further, when driving the vehicle 3 such as a road environment where a large transport vehicle such as a truck is difficult to pass or turn, a delay in delivery work due to causes other than traffic information such as fatigue of the delivery person 4 and other troubles occur. The delivery schedule may vary.

  For this reason, detailed information on the delivery work is collected by the delivery terminal 2 that is mounted on the vehicle 3 or carried out by the delivery person 4 from the vehicle 3 and is collected and analyzed. In order to manage the delivery work in detail.

  The delivery center 1 stores the delivery record data 15 received from the delivery terminal 2 in the delivery record DB 16. Further, the delivery result data 15 and the delivery plan instruction sheet 21 are compared, and when there is a delay or an advance from the original delivery schedule, the future delivery destination (customer) 5 is notified in real time. At the same time, the cause of the delivery work differing from the original delivery schedule is analyzed by the delivery result difference analysis unit 17 and stored in the difference analysis result DB 18. Data based on this analysis result is sent to the delivery schedule DB 13 and fed back to future delivery schedule calculations, thereby creating a more accurate delivery plan instruction 21 and sending the delivery plan instruction to the delivery terminal 2 again. This makes it possible to notify the delivery destination (customer) of a more accurate delivery time.

  FIG. 2 shows a configuration diagram of the delivery terminal 2.

  When the delivery terminal 2 is mounted on the vehicle 3 and driven, and when the delivery person 4 arrives at the delivery destination (customer) 5 and gets off, he removes it from the vehicle, carries it, unloads it and goes to the entrance. For a series of operations such as return loading and boarding, information is collected by a sensor etc. possessed and the behavior of the delivery person 4 is analyzed.

  The position detection unit 202 periodically detects position information from the GPS signal received by the GPS 201, and the position analysis unit 203 compares the information in the map DB 204 of the delivery terminal 2 with the detected position information to determine the current position of the delivery terminal 2. Get position data.

  The acceleration detection unit 206 detects acceleration data as movement information of the delivery terminal from the 3G sensor 205, and the acceleration analysis unit 207 compares the detected acceleration data with the data in the acceleration dictionary 208 to analyze the activity of the delivery person 4.

  The sound / voice detection unit 210 obtains voice data from the microphone 209 and compares the pattern data stored in the sound dictionary 212 or the voice dictionary 213 with the sound / voice analysis unit 211 to analyze the contents of the voice data. To do.

  In addition, when the delivery terminal 2 is mounted on a vehicle, a vehicle information receiving unit 216 that acquires vehicle information from CAN or the like is provided. In this vehicle information receiving unit 216, for example, wiper operation data and light lighting data from the vehicle 3, opening / closing of the door, IGN signal, or change in connector connection signal when removing the delivery terminal, and position from the car navigation if possible Vehicle information data such as determination information is obtained.

  The GPS 201 data, which is sensing data acquired by the position detection unit 202, the data of the 3G sensor 205 acquired by the acceleration detection unit 206, the voice data acquired by the sound / voice detection unit 210, and the vehicle information reception unit 216 are acquired. The various types of vehicle information data are sequentially stored and accumulated in a memory (not shown) by the position detection unit 202, the acceleration detection unit 206, the sound / voice detection unit 210, and the vehicle information reception unit 216, respectively. In addition, it is assumed that a delivery plan instruction 21 received from the delivery center 1 is stored in this memory.

  In the motion analysis unit 214, the activity analysis result of the delivery person 4 based on the acceleration data in the acceleration analysis unit 207, the content analysis result of the voice data based on the sound / voice data in the sound / voice analysis unit 211, and the position from the position analysis unit 203. By analyzing the data and vehicle information data from the vehicle information receiving unit 216 together, the operation data of the delivery person 4 is obtained and the work item is determined. Then, based on the analysis result, the delivery record data creation unit 217 creates the delivery record data 218 and stores it in the memory (not shown). The delivery result data 218 is transmitted to the delivery center 1 by the communication unit 219.

  FIG. 3 shows an example of behavior analysis of the delivery person 4 by combining the analysis results of the position data, acceleration data, and voice data in the operation analysis unit 214 of the delivery terminal 2.

  The work items related to the delivery from the delivery center 1 until returning are as follows: (1) During operation, (2) Arrive at the delivery destination and get off the vehicle, (3) Unload the case to the entrance etc. 4) Conversation with the delivery destination, (5) Return to the vehicle depending on the case, (6) Boarding, (7) Resuming operation, there are seven major categories.

  The operation item (1) during driving can be analyzed from a combination of a change in current position information by GPS and an IGN signal On detection result. The work item (2) that arrives at the delivery destination from the driving state and gets off is a change in the current position information by GPS, door opening / closing sound detection by the microphone 209 in the vehicle 3, a delivery terminal by the IGN signal Off or connector connection signal It can be analyzed from combinations such as detection of removal. After getting off, the work item (3) directed to the entrance of the delivery destination is a 3G sensor 205 generated by the rolling of the wheel of the carriage detected after the opening / closing sound of the car door by the microphone 209 or the delivery person 4 starting to walk. By combining the increase in acceleration value, it is possible to analyze with high accuracy.

  Next, the work item (4) in which the delivery person 4 arrives at the entrance of the delivery destination and starts a conversation with the delivery destination person, the work item (4) is obtained by comparing the voice data collected by the microphone 209 with the pattern of the sound dictionary. The detection result of the sound of the sound and the opening of the front door, the detection result of the phrases such as “It is a courier service” and “To deliver the luggage…” by comparing with the pattern of the voice dictionary, and the state where it is stopped By combining the results detected by the decrease in the acceleration value of the sensor 205, it is possible to analyze accurately. Thereafter, the work item (4) to return to the vehicle 3 is based on the detection result of the closing sound of the entrance door by comparing the voice data collected by the microphone 209 with the pattern of the sound dictionary, or by comparing with the pattern of the voice dictionary. By combining the detection results of the phrases such as “Thank you” and “I am sorry”, the result of detecting the start of walking from the increase in the acceleration value of the 3G sensor 205 can be analyzed with high accuracy.

  In places where the reception of radio waves is good even in buildings such as single-family houses and condominiums, the position data by GPS 201 is also combined to determine whether it is an environment where a carriage can be used, whether there is an elevator, In addition to adding information that is a clue to analysis from the microphone 209 and the 3G sensor 205, such as whether or not it is estimated as a building, the vehicle 3 can be stopped in addition to being able to perform analysis with higher accuracy. Therefore, it is possible to accurately estimate how much walking is required before reaching the entrance of the actual delivery destination.

  Further, when the sound of the front door opening is not detected from the voice data from the microphone 209, or when the voice of the fixed phrase is not detected, or when returning to the vehicle 3 from an apartment or the like in general, it is down and the 3G sensor 205 Although the value increases, the result of detecting the opening / closing of the car door without increasing the value of the 3G sensor 205 is combined, so that it is determined that the package of the delivery destination is brought home, and the delivery destination (customer) is absent. It is also possible to analyze that there was.

  The work item (6) in which the work at a series of delivery destinations is completed and the vehicle 3 is boarded is analyzed from a combination of detection results of door opening / closing sound detection by the microphone 209 and delivery terminal attachment detection by the IGN signal On and connector connection signal. can do. The work item (7) whose operation has been resumed can be analyzed from the change in the current position information by GPS following the detection result of the IGN signal On.

  In addition to the analysis of work items related to delivery by such data from the microphone 209, 3G sensor 205 and GPS 201 or vehicle information, the time when the work item was changed is also obtained, so the time taken for each work item Analyzing the delay and the cause of the delivery plan. At that time, generally, when the weather is rainy, it is necessary to waterproof the baggage, and it is dark at night, so it takes more work time than the daytime. By acquiring information on the wiper's operating status and light storefront status from the vehicle, and using these data, it is possible to determine the working environment according to the weather and day / night, thereby excluding the influence of the working environment from the causes of work delays. be able to.

  FIG. 4 shows a processing flow for creating delivery result data.

  After the vehicle 3 leaves the delivery center 1, the work item becomes “driving”, and the delivery terminal 2 starts recording voice recording data by the microphone 209 and sensing data by the GPS 201, the 3G sensor 205, etc. The stored data is stored in a memory file (401). In addition, the first delivery destination ID set based on the delivery plan instruction 21, the wiper operation state for detecting the presence / absence of rainfall, the headlight for detecting ambient brightness, obtained from the vehicle information receiving unit 216. Is recorded in the memory of the delivery terminal 2 (402).

  The sound detected by the microphone 209 and the sensor value by the GPS 201, 3G sensor 205, etc. are continuously recorded / recorded, but the memory capacity of the delivery terminal 2 is limited. For the time zone in which the item is not detected, the data stored in sequence is deleted from the memory, and only the data in the time zone in which the work item is detected is moved to the storage memory area provided in the memory, so that the delivery center 1 Store until you return to.

  Thereafter, the arrival of the vehicle 3 at the delivery destination (customer) 5 is detected based on the detection results such as the door opening / closing detection result from the voice data, the IGN signal OFF from the vehicle information, the connector removal of the delivery terminal 2 and the position determination by the navigation. (403), the work item changes from “driving” to “getting off”.

  After that, the voice data being collected or the fluctuation of the sensor value by the GPS 201 and the 3G sensor 205 is detected (404), the time is recorded, and the recorded voice data and the value of the 3G sensor 205 when the fluctuation is detected are recorded. The value of GPS 201 is moved to the storage memory area (405). Then, in order to analyze the work item corresponding to the action of the delivery person from the stored voice data and sensor value, the acceleration analysis unit 207 extracts the corresponding acceleration factor from the acceleration dictionary 208 for the value of the 3G sensor 205, and the sound The voice analysis unit 211 extracts the corresponding sound / voice factor from the sound dictionary 212 / voice dictionary 213 for the voice data from the microphone 209, and analyzes both of these factors to create delivery person operation data. (406).

  Then, the motion analysis unit 214 determines the work item “facing”, “conversation”, and “return” of the delivery person from the result of the motion analysis as described with reference to FIG. 3, and records the time required for each work item and the file. The delivery result data 218 is created and stored together with the wiper operating state, the headlight lighting state, and the GPS data (407). Data in the delivery record data 218 will be described in detail later.

  Moreover, the return of the delivery person (driver) 4 to the vehicle 3 is detected by the detection result of the door opening / closing detection result from the voice data, the connector connection of the delivery terminal from the vehicle information, the IGN signal ON, the position determination by the navigation, and the like. Until it is detected (408: Yes), the process returns to the process 404 and the operation analysis is continued. When the return to the vehicle 3 is detected, the work state becomes “ride”.

  Then, the return time is recorded in the vehicle 3, and when it is determined that traveling has started again from the change in the IGN signal ON and the current position information, the work item becomes “restart driving”. At that time, a new delivery result data 218 file is created, and the next delivery destination ID, wiper operating state, and headlight lighting state set based on the delivery plan instruction 21 stored in the memory are recorded in the memory. (409). Further, a file obtained by adding the data stored in the storage memory area to the delivery result data 218 relating to the previous delivery destination is transmitted to the delivery center 1 via the communication unit 219 (410). Then, it is determined from the current position information whether it has arrived at the delivery center 1 (411). If it has arrived at the delivery center, sensing by the microphone 209, GPS 201, 3G sensor 205, etc. is terminated (412), and the process is terminated.

  FIG. 5 shows a format of the delivery record data 15 stored in the delivery record DB 16.

  The delivery record data 15 stored in the delivery record DB 16 is a file sent from the delivery terminal 2, and its structure is classified into two parts, a header part and a data part. The header portion includes a delivery plan ID for individually distinguishing the delivery plan after leaving the delivery center 1 and the delivery destination (customer) 5, a delivery destination ID for individually distinguishing the delivery destination (customer) in the delivery plan, and delivery. Delivery date when the plan was executed, wiper movement / immobility when heading to each delivery destination, information on the delivery environment such as lighting / extinguishing of lights, “facing”, “conversation”, “return” work items Stores the planned time based on the actual time and the delivery plan instruction. This delivery plan ID is assumed to be set based on a delivery plan instruction document 21 that is distributed in advance to each delivery terminal 2 and recorded in the memory.

  Following this header section is a data section. Every time a change in sound or sensor value is caught in the data section, the recorded sound / voice, 3G sensor value, GPS value and its data stored in the storage memory area of the memory of the delivery terminal 2 are collected. The actual time and the difference between the start time of the work item determined from the analysis of these data and the planned time based on the delivery plan instruction for each work item are stored line by line.

  Each time the delivery person 4 leaves the vehicle 3, goes to the delivery destination (customer) 5, and returns to the next delivery destination, the data part and the header part corresponding to the data part correspond to the previous delivery destination ID. The file is closed, a new header portion corresponding to the delivery destination ID of the next delivery destination (customer) 5 set based on the delivery plan instruction 21 is created, the delivery plan ID is stored in the same manner, and other data is also stored. Similarly, a file is configured for each delivery destination ID of the delivery plan ID.

  When the vehicle 3 finally returns to the delivery center 1, a file of delivery record data 15 is created for each delivery destination (customer) 5, and these are grouped for each delivery plan ID and one delivery record. It is stored in the delivery record DB 16 as data.

  FIG. 6 shows formats of the acceleration dictionary 208, the sound dictionary 212, and the voice dictionary 213.

  In the acceleration dictionary 208, the value of the 3G sensor corresponding to the walking state, such as when walking slowly, walking normally, or running. Also, sensor values related to moving up and down the stairs, going up the stairs, going down the corridor, and going up the hallway. Sensor values relating to elevators that are rising, falling, and waiting in the elevator are stored. As the sensor value, in addition to the threshold value of the average value of the 3G sensor value, pattern information of the sensor value such as the average of the representative frequency and amplitude value in the waveform of the 3G sensor value may be used. By comparing the value with the sensor value in the dictionary, it is analyzed what kind of activity the worker is in.

  Similarly, the sound dictionary 212 includes sounds related to the vehicle 3 such as a driver door opening / closing sound, a rear luggage door opening / closing sound, an engine stop / starting sound, a traveling sound of the vehicle when using the vehicle, and an elevator getting on / off. Door opening / closing sound, loading / unloading sound such as “doss” related to movement from vehicle to delivery destination door, sound of entrance chime, door opening / closing sound, “pip” when reading barcode on delivery terminal The sound information about the entrance of the delivery destination such as electronic sound is stored. This sound information may be information on the ratio of frequency components in addition to typical sound waveform data.

  The voice dictionary 213 has phrases such as “It is a courier service”, “To deliver”, and “Sign here…” when it gets to the front door. Common phrases such as “Thank you…” or “I ’m sorry” when you leave the front door. The voice data of the standard phrase when talking with the person of the delivery destination etc. is stored.

  Here, if it is analyzed by the GPS or 3G sensor that the delivery person 4 has left the vehicle 3 and headed for the delivery destination, it is not retrieved from all the data in the sound dictionary but delivered from the vehicle. Analyzing the results of sound classification and behavior analysis in the dictionary, such as improving the accuracy of searching correctly by searching for the corresponding sound only from the data related to the movement between the front doors or the sound at the front door. By doing so, more accurate delivery record data can be created.

  Next, FIG. 7 shows a flow of processing for reflecting the difference analysis result on the delivery schedule.

  First, the difference between the delivery plan created by the delivery plan instruction unit 14 and the delivery result data 15 is analyzed by the delivery result difference analysis unit 17 (701). Here, for each delivery destination with a delivery plan having the same delivery plan ID in the delivery result data 15, the difference between the planned time and the actual time of the work item recorded in the delivery result data 15 is determined. Considering lighting conditions, audio data, the validity of the difference, and the cause of the difference that resulted in a different actual time from the original delivery schedule for work items at each delivery destination, such as weather such as rain, address mistakes, complaints, Etc. are analyzed and coded, and the difference analysis result DB is updated (702). When creating a delivery plan, an order form and a delivery destination (customer) list are obtained from the order DB 19, a delivery route reflecting the latest traffic information obtained from the traffic information DB 11 is calculated (703), and a difference analysis is performed. Reflecting the difference analysis result stored in the result DB, a delivery time schedule is created and stored in the delivery schedule DB (704).

  Further, from the data in the past delivery record DB 16 and the difference analysis result DB 18 accumulated in the delivery center 1, customer destination information such as the floor number of the delivery destination apartment, the position of the room, etc. is converted into a DB, and the delivery record DB 16 To record. By using it when creating a delivery plan, if the address listed in the order DB 19 is insufficient, or if the location of a room such as a large-scale condominium or an additional building is difficult to understand, it will not appear in the map DB Even when the vehicle 3 is complicated and cannot be passed, more accurate information on the delivery destination can be grasped by referring to the delivery record DB 16.

  In the embodiment of the present invention, time-consuming work items such as stopping, unloading, confirmation of packages and delivery destinations, facing, moving elevators and stairs, talking, and returning may be further subdivided.

  When the delivery destination is absent due to the presence / absence of a conversation or the like, the center can grasp the trends and predictions of individual deliverers, so that it is possible to propose an optimal delivery time for redelivery requests from the delivery destination. Furthermore, since it is possible to accurately grasp the break time, lunch time, etc. in terms of business management, the legal management of the delivery person also functions effectively.

1 delivery center 2 delivery terminal 3 vehicle 4 delivery person 10, 204 map DB
11 Traffic information DB
12 Route calculation part 13 Delivery schedule DB
14 Delivery plan instruction section 15, 218 Delivery record data 16 Delivery record DB
17 Delivery Result Difference Analysis Unit 18 Difference Analysis Result DB
19 Order DB
20, 219 Communication unit 21 Delivery plan instruction 201 GPS
202 Position Detection Unit 203 Position Analysis Unit 205 3G Sensor 206 Acceleration Detection Unit 207 Acceleration Analysis Unit 208 Acceleration Dictionary 209 Microphone 210 Sound / Voice Detection Unit 211 Sound / Voice Analysis Unit 212 Sound Dictionary 213 Voice Dictionary 214 Motion Analysis Unit 216 Vehicle Information Reception Part 217 delivery result data creation part

Claims (3)

A delivery planning section for creating a delivery schedule;
A delivery record storage unit for storing delivery record data received from a terminal carried by the deliverer;
A delivery schedule creation processing unit for creating a delivery plan created based on the delivery schedule;
In a delivery system comprising a delivery center having
The terminal
A sensing unit that acquires the motion state of the terminal, voice information acquired by the sensing unit, acceleration information and position information, and an operation analysis unit that analyzes a delivery person's operation based on vehicle information from a vehicle used for delivery; Using the work items estimated from the delivery person's action by the action analysis unit, the delivery result data is generated,
The delivery center is
A delivery result analysis processing unit for analyzing a difference between the delivery record data and the delivery schedule;
A delivery system characterized in that a delivery difference result of the delivery result analysis processing unit is reflected in a delivery schedule. The delivery system according to claim 1,
The sensing unit of the terminal includes a GPS receiver, an acceleration sensor, and a microphone.
The delivery result analysis processing unit of the center analyzes the difference between the actual time required to execute the work item and the planned time for the work item in the delivery schedule as an analysis of the difference between the delivery result data and the delivery schedule. And a distribution system characterized by analyzing the cause of the difference. The delivery system according to claim 1,
The delivery system comprising: a dictionary used for recognizing a delivery person's voice and external sounds; an acceleration dictionary corresponding to an action associated with the delivery work of the delivery person; and map data.