CN111967829A - Unmanned distribution method based on user time keeping evaluation - Google Patents

Unmanned distribution method based on user time keeping evaluation Download PDF

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CN111967829A
CN111967829A CN202010856940.6A CN202010856940A CN111967829A CN 111967829 A CN111967829 A CN 111967829A CN 202010856940 A CN202010856940 A CN 202010856940A CN 111967829 A CN111967829 A CN 111967829A
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user
evaluation
distribution
time
delivery
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马辰
金长新
高明
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Shandong New Generation Information Industry Technology Research Institute Co Ltd
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Shandong New Generation Information Industry Technology Research Institute Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0282Rating or review of business operators or products

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Abstract

The invention particularly relates to an unmanned distribution method based on user time keeping evaluation. According to the unmanned distribution method based on the user time keeping evaluation, a set of shared user time keeping credit evaluation system is established on the basis of an unmanned distribution trolley, the time for each user to take a piece is recorded and scored, the piece is divided into A, B, C, D four grades from high to low according to the score of the user, the unmanned distribution trolley makes a distribution strategy according to an evaluation result, the distribution strategy preferentially tends to the user with the highest evaluation score, and therefore distribution efficiency is improved to the maximum extent. According to the unmanned delivery method based on user timekeeping evaluation, the effective maintenance of the unmanned delivery order is realized by using the user timekeeping credit evaluation system, so that the express delivery timeliness is obviously improved, and the user experience is greatly improved.

Description

Unmanned distribution method based on user time keeping evaluation
Technical Field
The invention relates to the technical field of automatic driving and logistics distribution, in particular to an unmanned distribution method based on user time keeping evaluation.
Background
Distribution is a non-single business form in logistics activity, which is closely combined with business flow, logistics and fund flow and mainly comprises the business flow activity, the logistics activity and the fund flow activity, and can be said to be a business form comprising most necessary factors in the logistics activity. In terms of logistics, distribution includes almost all the logistics functional elements, and is a miniature of logistics or a representation of the whole logistics activity in a certain small range. The general distribution integrates loading, unloading, packaging, keeping and transporting, and is completed through a series of activities.
Under the market condition of the buyers, the demands of the customers are flexible and changeable, and the consumption characteristics are various and small-batch, so that the single delivery function cannot well meet the demands of the customers on the logistics service, and the delivery activity is a unified body of a plurality of logistics activities. But the current logistics system of the whole market is actually faced with 4 pain points:
1. the labor population is aggravated and reduced, the personnel flow cost is high
The population growth rate of China in 2019 is 3.34%, and a new low is created again after 2018, so that the shortage of employment population can be expected. And the logistics industry is seen, data show that the separation rate of the rider in one year is as high as 40%, and the mobility is strong. The main reasons for this are that the job intensity is high, the fault tolerance rate is low, and the job of the practitioner is unstable. On this premise, supplementing machine labor becomes a solution.
2. The retail delivery market of food and beverage expands at a very fast speed and needs to be matched with transportation resources
With data estimation, the business proportion on the catering industry line in this year reaches 20%, the share of the takeout market breaks through trillions, and in order to meet the market demands, the platform must improve the capacity, which returns to the introduction of this paper. Unmanned distribution will become the market demand in the new era.
3. The tail end distribution efficiency is low, and the adaptability of the machine is stronger
After entering areas such as community buildings and the like, the distribution efficiency is reduced on a par because the navigation routing is relatively inconvenient. Meanwhile, high-frequency distribution and all-weather distribution are easy to cause serious burden to riders, and the pressure can be compensated by an unmanned distribution vehicle.
4. Traffic safety problem
In order to guarantee the distribution speed, the phenomenon that a rider violates traffic rules in the distribution process is quite common, and the behavior causes huge potential traffic hidden dangers to the rider and pedestrians and is difficult to fundamentally solve. After the end delivery efficiency is improved through unmanned delivery, more time can be released for a rider, and therefore the problem of delivery which is not in compliance is reduced.
With the continuous development of the technology level, more and more automatic driving technologies are applied to the field of logistics. As a novel delivery mode, unmanned delivery can greatly improve the operating efficiency and the customer satisfaction degree of logistics delivery, and meanwhile, the manpower delivery cost of logistics enterprises is greatly reduced.
The unmanned delivery trolley solves the problem of 'last 500 meters' of tail end delivery, and the assistance of powerful 5G communication technology to the unmanned technology is behind the unmanned delivery trolley. The method breaks through the technical limitations of connection speed, quantity and quality, and can really realize the interconnection of everything in the physical world. Massive data operation is carried out in real time information interaction through a 5G technology and a cloud computing platform, and great development of artificial intelligence is promoted.
Under 5G technical support, unmanned delivery dolly can carry out the planning of destination setting and route, realize multiple functions such as accurate point-to-point goods and materials delivery, retrieve, take things to follow, can not only help dining room, hotel independently send a meal, can also extensively apply to places such as hospital, asylum for the aged, take out, express delivery and exempt from to contact delivery article, articles for daily use, medicine, apparatus etc. avoid personnel cross infection through intelligent means, simultaneously also greatly reduced service staff's working strength.
However, how to improve the user experience while reducing the cost and facilitating the user becomes a problem of important consideration for logistics companies. The unmanned distribution is divided into two steps of distribution and pickup, wherein the distribution is completed by the logistics company, and the pickup is completed by the user. Only if both parties are mutually matched and the unmanned distribution order is commonly maintained, the distribution efficiency can be improved, and then the experience effect of all users is improved.
However, as the individual user delays the pickup without reason, the unmanned delivery vehicle waits for a long time for a certain user to pick up the pickup, so that the public resource is occupied, the delivery timeliness of other users is influenced, and the overall user experience effect is reduced. Therefore, how to avoid the phenomenon becomes a problem to be solved urgently for unmanned delivery trolleys.
Based on the problems, the invention provides an unmanned distribution method based on user time keeping evaluation.
Disclosure of Invention
In order to make up for the defects of the prior art, the invention provides a simple and efficient unmanned distribution method based on user time keeping evaluation.
The invention is realized by the following technical scheme:
an unmanned distribution method based on user time keeping evaluation is characterized in that: a set of shared user timekeeping credit evaluation system is established on the basis of an unmanned distribution trolley, the time for each user to take a piece is recorded and scored, the score of the user is divided into A, B, C, D four grades from high to low, the unmanned distribution trolley formulates a distribution strategy according to the evaluation result, and the distribution strategy preferentially tends to evaluate the user with the highest score, so that the distribution efficiency is improved to the maximum extent.
When goods are delivered, the delivery trolley extracts timekeeping evaluation information of all consignees, sorts the information according to the order of the evaluation grades from top to bottom, takes the user with the highest evaluation as the first delivery user, and delivers the goods according to the credit scores of the other users and the route forward index.
And after the route of the first delivery user is determined, weighting the evaluation results of the remaining users and the route forward index to obtain a weighted average value of each user, and executing subsequent delivery tasks according to the sequence from high to low of the weighted average value.
And after the route of the distribution user is determined each time, weighting the evaluation results of the remaining users and the route forward index to obtain a weighted average value of each user, taking the user with the highest weighted average value as the next distribution user, and executing distribution tasks until all the distribution tasks are completed.
And after the distribution sequence is determined, the distribution trolley informs and confirms whether the user can receive goods or not through a short message communication mode, if the user can receive goods, the distribution is carried out, and if the user cannot receive goods, the user is confirmed to be distributed again after 1 hour.
And (4) scoring the distribution trolley according to rules after the distribution is finished each time, averaging the scored result with the previous result, and taking the averaged result as a new punctuality evaluation result.
The scoring criteria were as follows:
when the delivery trolley arrives downstairs of the user or appoints a delivery place, the user is informed, and timing is started;
if the user takes the goods within ten minutes, the current time-keeping evaluation of taking the goods is 10 minutes, otherwise, the time-keeping evaluation is overtime, and the time-keeping evaluation is deducted by 1 minute every time the time-keeping evaluation is overtime; and after ten minutes of timeout, the delivery trolley cancels the delivery, and the time-keeping evaluation of the delivery is scored as 0.
Further, after the delivery trolley evaluates the user in time, the delivery trolley averages the previous evaluation result, and the obtained result is used as the latest user evaluation;
if the user score is less than 2.5, the score is D grade, if the score reaches 2.5 but less than 5, the score is C grade, if the score reaches 5 but less than 7.5, the score is B grade, and the rest is A grade.
The invention has the beneficial effects that: according to the unmanned delivery method based on user timekeeping evaluation, the effective maintenance of the unmanned delivery order is realized by using the user timekeeping credit evaluation system, so that the express delivery timeliness is obviously improved, and the user experience is greatly improved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic diagram of the unmanned distribution method based on user time keeping evaluation.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution in the embodiment of the present invention will be clearly and completely described below with reference to the embodiment of the present invention. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
According to the unmanned distribution method based on the user time keeping evaluation, a set of shared user time keeping credit evaluation system is established on the basis of an unmanned distribution trolley, the time for each user to take a piece is recorded and scored, the piece is divided into A, B, C, D four grades from high to low according to the score of the user, the unmanned distribution trolley makes a distribution strategy according to an evaluation result, the distribution strategy preferentially tends to the user with the highest evaluation score, and therefore distribution efficiency is improved to the maximum extent.
When goods are delivered, the delivery trolley extracts timekeeping evaluation information of all consignees, sorts the information according to the order of the evaluation grades from top to bottom, takes the user with the highest evaluation as the first delivery user, and delivers the goods according to the credit scores of the other users and the route forward index.
And after the route of the first delivery user is determined, weighting the evaluation results of the remaining users and the route forward index to obtain a weighted average value of each user, and executing subsequent delivery tasks according to the sequence from high to low of the weighted average value.
And after the route of the distribution user is determined each time, weighting the evaluation results of the remaining users and the route forward index to obtain a weighted average value of each user, taking the user with the highest weighted average value as the next distribution user, and executing distribution tasks until all the distribution tasks are completed.
And after the distribution sequence is determined, the distribution trolley informs and confirms whether the user can receive goods or not through a short message communication mode, if the user can receive goods, the distribution is carried out, and if the user cannot receive goods, the user is confirmed to be distributed again after 1 hour.
And (4) scoring the distribution trolley according to rules after the distribution is finished each time, averaging the scored result with the previous result, and taking the averaged result as a new punctuality evaluation result.
The scoring criteria were as follows:
when the delivery trolley arrives downstairs of the user or appoints a delivery place, the user is informed, and timing is started;
if the user takes the goods within ten minutes, the current time-keeping evaluation of taking the goods is 10 minutes, otherwise, the time-keeping evaluation is overtime, and the time-keeping evaluation is deducted by 1 minute every time the time-keeping evaluation is overtime; and after ten minutes of timeout, the delivery trolley cancels the delivery, and the time-keeping evaluation of the delivery is scored as 0.
Further, after the delivery trolley evaluates the user in time, the delivery trolley averages the previous evaluation result, and the obtained result is used as the latest user evaluation;
if the user score is less than 2.5, the score is D grade, if the score reaches 2.5 but less than 5, the score is C grade, if the score reaches 5 but less than 7.5, the score is B grade, and the rest is A grade.
The above-described embodiment is only one specific embodiment of the present invention, and general changes and substitutions by those skilled in the art within the technical scope of the present invention are included in the protection scope of the present invention.

Claims (8)

1. An unmanned distribution method based on user time keeping evaluation is characterized in that: a set of shared user timekeeping credit evaluation system is established on the basis of an unmanned distribution trolley, the time for each user to take a piece is recorded and scored, the score of the user is divided into A, B, C, D four grades from high to low, the unmanned distribution trolley formulates a distribution strategy according to the evaluation result, and the distribution strategy preferentially tends to evaluate the user with the highest score, so that the distribution efficiency is improved to the maximum extent.
2. The unmanned distribution method based on user time keeping evaluation according to claim 1, wherein: when goods are delivered, the delivery trolley extracts timekeeping evaluation information of all consignees, sorts the information according to the order of the evaluation grades from top to bottom, takes the user with the highest evaluation as the first delivery user, and delivers the goods according to the credit scores of the other users and the route forward index.
3. The unmanned distribution method based on user time keeping evaluation according to claim 2, wherein: and after the route of the first delivery user is determined, weighting the evaluation results of the remaining users and the route forward index to obtain a weighted average value of each user, and executing subsequent delivery tasks according to the sequence from high to low of the weighted average value.
4. The unmanned distribution method based on user time keeping evaluation according to claim 3, wherein: and after the route of the distribution user is determined each time, weighting the evaluation results of the remaining users and the route forward index to obtain a weighted average value of each user, taking the user with the highest weighted average value as the next distribution user, and executing distribution tasks until all the distribution tasks are completed.
5. The unmanned distribution method based on user's time keeping evaluation according to claim 2, 3 or 4, wherein: and after the distribution sequence is determined, the distribution trolley informs and confirms whether the user can receive goods or not through a short message communication mode, if the user can receive goods, the distribution is carried out, and if the user cannot receive goods, the user is confirmed to be distributed again after 1 hour.
6. The unmanned distribution method based on user's time keeping evaluation according to claim 2, 3 or 4, wherein: and (4) scoring the distribution trolley according to rules after the distribution is finished each time, averaging the scored result with the previous result, and taking the averaged result as a new punctuality evaluation result.
7. The unmanned distribution method based on user time keeping evaluation according to claim 6, wherein: the scoring criteria were as follows:
when the delivery trolley arrives downstairs of the user or appoints a delivery place, the user is informed, and timing is started;
if the user takes the goods within ten minutes, the current time-keeping evaluation of taking the goods is 10 minutes, otherwise, the time-keeping evaluation is overtime, and the time-keeping evaluation is deducted by 1 minute every time the time-keeping evaluation is overtime; and after ten minutes of timeout, the delivery trolley cancels the delivery, and the time-keeping evaluation of the delivery is scored as 0.
8. The unmanned distribution method based on user time keeping evaluation according to claim 7, wherein: further, after the delivery trolley evaluates the user in time, the delivery trolley averages the previous evaluation result, and the obtained result is used as the latest user evaluation;
if the user score is less than 2.5, the score is D grade, if the score reaches 2.5 but less than 5, the score is C grade, if the score reaches 5 but less than 7.5, the score is B grade, and the rest is A grade.
CN202010856940.6A 2020-08-24 2020-08-24 Unmanned distribution method based on user time keeping evaluation Pending CN111967829A (en)

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Citations (10)

* Cited by examiner, † Cited by third party
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CN107093081A (en) * 2016-11-24 2017-08-25 北京小度信息科技有限公司 Service strategy formulating method and device
CN107292561A (en) * 2017-06-26 2017-10-24 ***带西东网络科技有限公司 A kind of dispatching method matched based on mobile interchange big data along band
CN108596443A (en) * 2018-04-02 2018-09-28 广东电网有限责任公司 A kind of Electricity customers method for evaluating credit rating based on multi-dimensional data
CN109214739A (en) * 2017-07-04 2019-01-15 北京小度信息科技有限公司 order processing method and device
CN109345161A (en) * 2018-08-29 2019-02-15 广西大学 A kind of delivery assignment method towards monetary value flow
CN110060000A (en) * 2019-03-15 2019-07-26 青岛日日顺物流有限公司 Community distribution path generating method and device
CN110852626A (en) * 2019-11-12 2020-02-28 上海德启信息科技有限公司 Dispatching method and device for receiving order, electronic equipment and storage medium
CN111080204A (en) * 2019-12-18 2020-04-28 圆通速递有限公司 Intelligent sorting and dispatching system based on client priority evaluation
CN111191973A (en) * 2019-08-23 2020-05-22 坎德拉(深圳)科技创新有限公司 Dynamic dispatching system
CN111476527A (en) * 2020-04-17 2020-07-31 蔡敏 Logistics distribution method based on cooperation of multiple unmanned aerial vehicles and cloud control center

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107093081A (en) * 2016-11-24 2017-08-25 北京小度信息科技有限公司 Service strategy formulating method and device
CN107292561A (en) * 2017-06-26 2017-10-24 ***带西东网络科技有限公司 A kind of dispatching method matched based on mobile interchange big data along band
CN109214739A (en) * 2017-07-04 2019-01-15 北京小度信息科技有限公司 order processing method and device
CN108596443A (en) * 2018-04-02 2018-09-28 广东电网有限责任公司 A kind of Electricity customers method for evaluating credit rating based on multi-dimensional data
CN109345161A (en) * 2018-08-29 2019-02-15 广西大学 A kind of delivery assignment method towards monetary value flow
CN110060000A (en) * 2019-03-15 2019-07-26 青岛日日顺物流有限公司 Community distribution path generating method and device
CN111191973A (en) * 2019-08-23 2020-05-22 坎德拉(深圳)科技创新有限公司 Dynamic dispatching system
CN110852626A (en) * 2019-11-12 2020-02-28 上海德启信息科技有限公司 Dispatching method and device for receiving order, electronic equipment and storage medium
CN111080204A (en) * 2019-12-18 2020-04-28 圆通速递有限公司 Intelligent sorting and dispatching system based on client priority evaluation
CN111476527A (en) * 2020-04-17 2020-07-31 蔡敏 Logistics distribution method based on cooperation of multiple unmanned aerial vehicles and cloud control center

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Application publication date: 20201120