CN112365020A - Intelligent logistics based pickup analysis management system and method - Google Patents

Intelligent logistics based pickup analysis management system and method Download PDF

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CN112365020A
CN112365020A CN202011247588.2A CN202011247588A CN112365020A CN 112365020 A CN112365020 A CN 112365020A CN 202011247588 A CN202011247588 A CN 202011247588A CN 112365020 A CN112365020 A CN 112365020A
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彭次梅
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Abstract

The invention discloses a pickup analysis management system and a method based on intelligent logistics, which relate to the technical field of intelligent logistics, and comprise a reservation pickup unit, a central processing unit, a database and a user side; the system comprises a reservation pickup unit, a central processing unit, a database, a client and a post station, wherein the reservation pickup unit is used for a user to reserve pickup time periods on the system, the central processing unit is used as the core of the whole system, the database is used for storing logistics information of all users in a certain area, the client is used as a client for the user to control the whole system, and the output end of the client is electrically connected with the reservation pickup unit and the input end of the central processing unit.

Description

Intelligent logistics based pickup analysis management system and method
Technical Field
The invention relates to the technical field of intelligent logistics, in particular to a pickup analysis management system and method based on intelligent logistics.
Background
With the continuous development of society and the continuous improvement of living standard of people, online shopping becomes the mainstream of the development of the current era, the online shopping also contributes to the development of the logistics industry, and the current logistics mode is as follows: the commodity that the user bought arrives the user regional through the commodity circulation to leave the posthouse in user place area, the user need get the piece to the posthouse after receiving the notice, accomplishes the last link of whole online shopping, however, this kind of mode of getting the piece to the posthouse has following problem:
since the courier station accumulates all the express deliveries in a certain area, the queuing phenomenon is serious due to too many express delivery persons when a user goes to the courier station to take the express deliveries, a large amount of time is wasted for the user, and the shopping experience of the user is influenced;
therefore, there is a need for a system and a method for analyzing and managing pickup based on intelligent logistics to solve the above problems.
Disclosure of Invention
The invention aims to provide a pickup analysis management system and method based on intelligent logistics, so as to solve the problems in the prior art.
In order to achieve the purpose, the invention provides the following technical scheme: a pick-up analysis management system based on intelligent logistics comprises a reservation pick-up unit, a central processing unit, a database and a user side;
the system comprises a central processing unit, a reservation pickup unit, a database and a database, wherein the reservation pickup unit is used for a user to make a reservation of pickup time periods on the system, the output end of the reservation pickup unit is electrically connected with the input end of the central processing unit, the reserved pickup time periods of all users are realized, the serious problem of queuing phenomenon caused by the pickup of large batches of users is avoided, the time of the user is wasted, and the online shopping experience of the user is influenced, the central processing unit is used as the core of the whole system and is used for intelligently controlling the whole system to realize the stable operation of the system, the central processing unit is electrically connected with the database, the database is used for storing the logistics information of all users in a certain area and is also used for storing the historical pickup information of all users in a certain area so as to call the pickup information according to the requirements of the user and the reserved pickup time periods in the later period, the output electric connection of database data transfer unit's input, the data transfer unit is arranged in transferring the corresponding data of storage in the database according to central processing unit's demand, the output electric connection central processing unit's of data transfer unit input, the user side is the customer end for the user controls entire system, realizes intelligent analysis and the management of getting, the input of the output electric connection reservation of user side getting unit and central processing unit.
According to the technical scheme, the data calling unit calls the quantity of the reserved pickup of the user from the database according to the reserved pickup information of the reserved pickup unit, and the quantity P of the reserved pickup is obtained according to the quantity P of the reserved pickupkAnd a time period (T) for reserving pickupi,Ti+1) Determining the quantity P of the reserved pickup of the user by using a quantity judgment unitkAnd a time period (T) for reserving pickupi,Ti+1) Whether normal pickup of other users is affected or not is judged according to the user is (T)i,Ti+1) Number P of reserved and taken time periodkWhether or not the threshold value is set to be equal to or greater than a set threshold value and (T) is determinedi,Ti+1) Whether the time period is a peak reservation pickup time period or not;
the output end of the central processing unit is electrically connected with the input end of a quantity verification unit, the output end of the quantity verification unit is electrically connected with the input end of a reserved pickup unit, and the quantity verification unit is used for reserving a pickup time period (T)i,Ti+1) And the number verification unit is also used for verifying the time period (T) of the user to reserve and take the piecei,Ti+1) Whether the pickup time period is reserved for the peak or not.
Because the total reserved pickup quantity of a certain time period is limited, when the total reserved pickup quantity of the certain time period is greater than or equal to the set threshold value, if the user continues to accept the reserved pickup in the time period, the normal pickup in the time period will be affected.
According to the above technical scheme, the output end of the central processing unit is electrically connected with the input end of the time period analysis unit, and the time period is divided intoThe analyzing unit is used for analyzing the optimal reserved pickup time period of the user because the user reserves the pickup quantity P at one timekMore than or equal to the set threshold value and when being located in the peak reservation pickup time period, pickup experience of other users can be influenced, and by the mode, users who have a large number of pickup in one reservation are recommended to the time period with a small number of pickup, so that the time period of pickup in peak reservation can be avoided, and influence on normal pickup of other users can be avoided.
According to the above technical solution, the system further comprises a map importing unit, when the user makes an appointment to fetch a piece successfully, in order to avoid that the time point when the user goes to the courier to fetch a piece in the appointment time period is the peak time of the piece fetching in the time period, the map of the area where the user is located is imported by the map importing unit, an output end of the map importing unit is electrically connected with an input end of the model establishing unit, the model establishing unit is used for establishing a two-dimensional model of the map imported by the map importing unit and establishing a rectangular plane coordinate system for positioning the position of each point on the map, so as to facilitate calculation of the distance between the user position and the courier position in the later period, an output end of the model establishing unit is electrically connected with an input end of the central processing unit, and an output end of the central processing unit is electrically connected with an input end, the data processing unit is used for determining the optimal starting and pickup time point of a user in the reserved pickup time period, the optimal starting and pickup time period can be analyzed by combining the two-dimensional model established by the model establishing unit, the distance between the position of the user and the post station, the speed of the user, the number of people waiting for pickup in the reserved pickup time period at the moment and the number of people going to the post station for pickup, and the queuing phenomenon caused by the fact that the user goes to the post station for pickup at the same time with the user reserved in the reserved pickup time period can be effectively avoided when the user picks up the pickup in the reserved pickup time period, and the analysis of the starting time point going to the post station in the reserved pickup time period is triggered based on the requirement that the user side starts to avoid queuing.
According to the technical scheme, the positions of other users in the same reserved pickup time period are determined through the GPS positioning unit, the output end of the GPS positioning unit is electrically connected with the input end of the user end, the data processing unit sends the analyzed information of the non-queuing pickup starting pickup time point to the message notification unit, and the message notification unit sends the starting pickup time point to the user end for the user to check.
A pickup analysis management method based on intelligent logistics comprises the following steps:
s1, the user end appoints to go to the post station to take the time section of the pickup through the appointment pickup unit;
s2, calling the number of the parts to be taken by the user from the database by using the data calling unit;
s3, determining whether the user' S pickup quantity and time period will cause other users to wait in a queue for a long time by using the CPU and the quantity judging unit;
s4, verifying whether the total quantity of the current reserved articles taking in the reserved article taking time period of the user is larger than a set threshold value by using a quantity verification unit;
s5, importing a map of the area where the user is located through a map importing unit, establishing a two-dimensional model of the area by using a model establishing unit, and establishing a plane rectangular coordinate system;
and S6, calculating the departure time point of the user without queuing before the reserved time period by using the data processing unit, and sending the departure time point to the user side through the message notification unit.
According to the above technical solution, in the steps S1-S2, the user uses the reserved pickup unit to reserve the time period (T) for picking up the posthousei，Ti+1) The data calling unit calls the quantity P of the reserved pickup of the user from the database according to the pickup requirement of the userk。
According to the above technical solution, in the steps S3-S4, the central processing unit sets the total number of reserved pickup pieces per time period as Y, and the central processing unit retrieves the time length T of the historical reserved pickup piece number reaching Y of each time period from the database to form a set (T) of the time lengths of the historical reserved pickup piece number reaching Y of each time periodi，Ti+1)＝{t1，t2，t3，...，tnWhere t is1，t2，t3，...，tnRespectively representing the time length spent on the reservation of taking the total number of the articles to reach Y in each time period, and calculating the average time length of the historical reservation of taking the articles of which the number reaches Y in each time period according to the following formula
Figure BDA0002770548610000061
Figure BDA0002770548610000062
The average duration data after calculation is sorted,
Figure BDA0002770548610000063
the peak pick-up time period for reserving pick-up is the peak time period for reserving pick-up because the largest total quantity of reserved pick-up is reserved in the shortest time period;
when P is presentkWhen the reserved pickup time period of the user is the peak reserved pickup time period, the user is prohibited from picking up the pickup in the time period, wherein P is a set pickup quantity threshold value, the time period is the peak time period of reserved pickup, the pickup quantity of the user is more than or equal to the set threshold value P, and the total quantity Y of reserved pickup in each time period is constant, so that the number of people who reserve pickup at the time is reduced, and normal pickup of other users is influenced;
selecting average duration data greater than
Figure BDA0002770548610000064
And the time period when the total number of the taken pieces is not fully reserved is supplied to the user for reserved taking, the analysis result is sent to the user side through the message notification unit and is supplied to the user for checking, because the taken piece number of the user is larger, the user is recommended to avoid influencing the taken piece experience of the userIn the latest time period, the long-time waiting of the user can be avoided;
the number of the reserved pickup units for each reserved time section forms a set PCollection＝{P1，P2，P3，...，PmThe quantity verification unit reserves and takes the total quantity P of the articles in each time period according to the following formulaGeneral assemblyAnd (3) calculating:
Figure BDA0002770548610000065
when P is more than or equal to Y, the quantity verification unit feeds back the calculation result to the reserved pickup unit, and the reserved pickup unit stops the reserved pickup service in the time period.
According to the above technical solution, in step S5, the map importing unit imports the map of the area where the user is located, the model establishing unit establishes a two-dimensional model of the imported map, and establishes a planar rectangular coordinate system, in the planar rectangular coordinate system, the coordinates of the posthouse location are (0,0), the coordinates of the user location are (X, Y), and the coordinates of each inflection point on the way for the user to go to the posthouse are (X, Y)i，Yi) The map importing unit and the model establishing unit are started based on the requirement that a user side starts queuing-free, and the distance L between the position of the user and the stager is calculated according to the following formula:
Figure BDA0002770548610000072
wherein (X)1，Y1) Indicating the first inflection point on the way for the user to go to the courier to pick up the parts.
According to the above technical solution, in step S6, the user reserves the pickup timeSegment is (T)i，Ti+1) The total reserved pickup number of the time period is Y, the total reserved pickup number of the time period is Z, and Z is less than or equal to Y;
the data processing unit carries out real-time positioning on the positions of the user ends of all users according to the GPS positioning unit, and the time spent on taking the goods of each goods is determined according to the following formula
Figure BDA0002770548610000081
And (3) calculating:
Figure BDA0002770548610000082
the current GPS positioning unit displays that M persons wait for taking the parts at the courier station in a time period (Ti, Ti +1), N persons wait for taking the parts at the forward courier station, and the total waiting time length T required for taking the parts at present is calculated according to the following formulaEtc. of：
Figure BDA0002770548610000083
The walking speed of the user for getting the posthouse is V, and the time T spent by the user for getting the posthouse is calculated according to the following formulaRoad surface：
TRoad surface＝L*V；
Determining a starting and pickup time point of a user according to the following formula:
T＝Ti+(Tetc. of-TRoad surface)；
The user goes to the posthouse at the T time point to take the parts without queuing to take the parts.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the phenomenon that the post station queues up to take the parts is avoided by using the mode of reserving the parts taking, so that the user can take the parts from the post station at the reserved part taking time and at the reserved time, the parts taking personnel are shunted, and the online shopping experience of the user is improved.
2. According to the invention, the number of people currently going to the post station to pick up the mail and the number of people waiting in line at the post station are verified in the time period of reserving picking up the mail, the optimal starting picking-up time point is determined through calculation and analysis, the peak time of picking up the mail at a certain time period is staggered when the post station is going to pick up the mail at the time point, and the picking-up efficiency is higher.
3. According to the invention, the users who reserve and take the parts in the peak time period with the number of the parts taken at one time being more than or equal to the set threshold value recommend the close time period to reserve and take the parts, so that the reduction of the number of the parts taken in the peak time period is avoided, the allocation of the parts taking personnel is realized to the greatest extent, and the efficiency of the post station to take the parts is improved.
Drawings
FIG. 1 is a schematic diagram of a module connection structure of an intelligent logistics-based pickup analysis management system according to the present invention;
FIG. 2 is a schematic diagram illustrating steps of a method for picking up and analyzing management based on intelligent logistics according to the present invention;
fig. 3 is a schematic flow chart of a pickup analysis management method based on intelligent logistics according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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.
As shown in fig. 1 to 3, the present invention provides a pick-up analysis management system based on intelligent logistics, which includes a reservation pick-up unit, a central processing unit, a database and a user end;
the system comprises a central processing unit, a reservation pickup unit, a database and a database, wherein the reservation pickup unit is used for a user to make a reservation of pickup time periods on the system, the output end of the reservation pickup unit is electrically connected with the input end of the central processing unit, the reserved pickup time periods of all users are realized, the serious problem of queuing phenomenon caused by the pickup of large batches of users is avoided, the time of the user is wasted, and the online shopping experience of the user is influenced, the central processing unit is used as the core of the whole system and is used for intelligently controlling the whole system to realize the stable operation of the system, the central processing unit is electrically connected with the database, the database is used for storing the logistics information of all users in a certain area and is also used for storing the historical pickup information of all users in a certain area so as to call the pickup information according to the requirements of the user and the reserved pickup time periods in the later period, the output electric connection of database data transfer unit's input, the data transfer unit is arranged in transferring the corresponding data of storage in the database according to central processing unit's demand, the output electric connection central processing unit's of data transfer unit input, the user side is the customer end for the user controls entire system, realizes intelligent analysis and the management of getting, the input of the output electric connection reservation of user side getting unit and central processing unit.
The data calling unit calls the quantity of the reserved pickup of the user from the database according to the reserved pickup information of the reserved pickup unit and the quantity P of the reserved pickupkAnd a time period (T) for reserving pickupi,Ti+1) Determining the quantity P of the reserved pickup of the user by using a quantity judgment unitkAnd a time period (T) for reserving pickupi,Ti+1) Whether normal pickup of other users is affected or not is judged according to the user is (T)i,Ti+1) Number P of reserved and taken time periodkWhether or not the threshold value is set to be equal to or greater than a set threshold value and (T) is determinedi,Ti+1) Whether the time period is a peak reservation pickup time period or not;
the output end of the central processing unit is electrically connected with the input end of a quantity verification unit, the output end of the quantity verification unit is electrically connected with the input end of a reserved pickup unit, and the quantity verification unit is used for reserving a pickup time period (T)i,Ti+1) The number verification unit is also used for verifying the user to reserve and take the pieceTime period (T)i,Ti+1) Whether the pickup time period is reserved for the peak or not.
Because the total reserved pickup quantity of a certain time period is limited, when the total reserved pickup quantity of the certain time period is greater than or equal to the set threshold value, if the user continues to accept the reserved pickup in the time period, the normal pickup in the time period will be affected.
The output end of the central processing unit is electrically connected with the input end of the time period analysis unit, and the time period analysis unit is used for analyzing the optimal reserved pickup time period of the user, because the user can reserve the pickup quantity P at one timekMore than or equal to the set threshold value and when being located in the peak reservation pickup time period, pickup experience of other users can be influenced, and by the mode, users who have a large number of pickup in one reservation are recommended to the time period with a small number of pickup, so that the time period of pickup in peak reservation can be avoided, and influence on normal pickup of other users can be avoided.
The system also comprises a map importing unit, when the user makes a reservation and fetching, in order to avoid that the time point of the user going to the courier station to fetch the piece in the reserved time period is the piece fetching peak time of the reserved piece fetching in the time period, the map of the area where the user is located is imported by the map importing unit, the output end of the map importing unit is electrically connected with the input end of the model establishing unit, the model establishing unit is used for establishing a two-dimensional model of the map imported by the map importing unit and establishing a plane rectangular coordinate system for positioning the position of each point on the map so as to be convenient for calculating the distance between the user position and the courier station position in the later period, the output end of the model establishing unit is electrically connected with the input end of the central processing unit, the output end of the central processing unit is electrically connected with the input end of the data processing unit, and the data processing unit is used for determining the optimal piece fetching time point of the user, because the optimal starting and taking time period can be analyzed by combining the two-dimensional model established by the model establishing unit, the distance between the position of the user and the courier station, the speed of the user, the number of people waiting for taking the parts in the reserved taking time period at the moment and the number of people going to the courier station to take the parts, the queuing phenomenon caused by the fact that the user goes to the courier station to take the parts simultaneously with the user reserved in the reserved taking time period when the user takes the parts in the reserved taking time period can be effectively avoided, and the analysis of the starting time point going to the courier station in the reserved taking time period by the data processing unit is triggered based on the requirement of starting and avoiding queuing by the user terminal.
The positions of other users in the same reserved pickup time period are determined through a GPS positioning unit, the output end of the GPS positioning unit is electrically connected with the input end of a user end, the data processing unit sends the analyzed information of the non-queuing departure pickup time point to a message notification unit, and the message notification unit sends the departure pickup time point to the user end for the user to check.
A pickup analysis management method based on intelligent logistics comprises the following steps:
s1, the user end appoints to go to the post station to take the time section of the pickup through the appointment pickup unit;
s2, calling the number of the parts to be taken by the user from the database by using the data calling unit;
s3, determining whether the user' S pickup quantity and time period will cause other users to wait in a queue for a long time by using the CPU and the quantity judging unit;
s4, verifying whether the total quantity of the current reserved articles taking in the reserved article taking time period of the user is larger than a set threshold value by using a quantity verification unit;
s5, importing a map of the area where the user is located through a map importing unit, establishing a two-dimensional model of the area by using a model establishing unit, and establishing a plane rectangular coordinate system;
and S6, calculating the departure time point of the user without queuing before the reserved time period by using the data processing unit, and sending the departure time point to the user side through the message notification unit.
In steps S1-S2, the user uses the reserved pickup unit to reserve the time period for picking up the posthouse (T)i，Ti+1) The data calling unit is used for calling according to the pickup requirement of the userCalling the number P of the user for the reserved pickup from the databasek。
In steps S3-S4, the central processing unit sets the total number of reserved pickup pieces per time period to Y, retrieves from the database the time length T for which the number of reserved pickup pieces per time period has reached Y, and forms a set of time lengths (T) for which the number of reserved pickup pieces per time period has reached Yi，Ti+1)＝{t1，t2，t3，...，tnWhere t is1，t2，t3，...，tnRespectively representing the time length spent on the reservation of taking the total number of the articles to reach Y in each time period, and calculating the average time length of the historical reservation of taking the articles of which the number reaches Y in each time period according to the following formula
Figure BDA0002770548610000131
Figure BDA0002770548610000132
The average duration data after calculation is sorted,
Figure BDA0002770548610000133
the peak pick-up time period for reserving pick-up is the peak time period for reserving pick-up because the largest total quantity of reserved pick-up is reserved in the shortest time period;
when P is presentkWhen the reserved pickup time period of the user is the peak reserved pickup time period, the user is prohibited from picking up the pickup in the time period, wherein P is a set pickup quantity threshold value, the time period is the peak time period of reserved pickup, the pickup quantity of the user is more than or equal to the set threshold value P, and the total quantity Y of reserved pickup in each time period is constant, so that the number of people who reserve pickup at the time is reduced, and normal pickup of other users is influenced;
selecting average duration data greater than
Figure BDA0002770548610000141
The time period in which the total number of the taken pieces is not fully reserved is supplied to the user for reserved taking, the analysis result is sent to the user side through the message notification unit and is supplied to the user for checking, although the number of the taken pieces of the user is large, the latest time period is recommended for the user in order to avoid influencing the user's experience of taking the pieces, and the user can be prevented from waiting for a long time;
the number of the reserved pickup units for each reserved time section forms a set PCollection＝{P1，P2，P3，...，PmThe quantity verification unit reserves and takes the total quantity P of the articles in each time period according to the following formulaGeneral assemblyAnd (3) calculating:
Figure BDA0002770548610000142
when P is more than or equal to Y, the quantity verification unit feeds back the calculation result to the reserved pickup unit, and the reserved pickup unit stops the reserved pickup service in the time period.
In step S5, the map importing unit imports a map of an area where the user is located, establishes a two-dimensional model of the imported map using the model establishing unit, and establishes a planar rectangular coordinate system in which coordinates of a position where the courier is located are (0,0), coordinate values of the position where the user is located are (X, Y), and coordinate values of each inflection point on a road where the user goes to the courier are (X, Y)i，Yi) The map importing unit and the model establishing unit are started based on the requirement that a user side starts queuing-free, and the distance L between the position of the user and the stager is calculated according to the following formula:
Figure BDA0002770548610000152
wherein (X)1，Y1) Indicating the first inflection point on the way for the user to go to the courier to pick up the parts.
In step S6, the time period for the user to reserve pickup is (T)i，Ti+1) The total reserved pickup number of the time period is Y, the total reserved pickup number of the time period is Z, and Z is less than or equal to Y;
the data processing unit carries out real-time positioning on the positions of the user ends of all users according to the GPS positioning unit, and the time spent on taking the goods of each goods is determined according to the following formula
Figure BDA0002770548610000154
And (3) calculating:
Figure BDA0002770548610000155
the current GPS positioning unit displays that M persons wait for taking the parts at the courier station in a time period (Ti, Ti +1), N persons wait for taking the parts at the forward courier station, and the total waiting time length T required for taking the parts at present is calculated according to the following formulaEtc. of：
Figure BDA0002770548610000156
The walking speed of the user for getting the posthouse is V, and the time T spent by the user for getting the posthouse is calculated according to the following formulaRoad surface：
TRoad surface＝L*V；
Determining a starting and pickup time point of a user according to the following formula:
T＝Ti+(Tetc. of-TRoad surface)；
The user goes to the posthouse at the T time point to take the parts without queuing to take the parts.
Example (b):
user utilization predictionThe reservation and pickup unit reserves a time period (17:00, 18:00) for proceeding to the posthouse for pickup, and the data retrieval unit retrieves the quantity P of the reserved pickup of the user from the database according to the pickup requirement of the userk＝2。
The central processing unit sets the total number of reserved and taken pieces per time period to be Y100 pieces, the central processing unit calls time length t of the reserved and taken piece number per time period reaching Y from the database, and a set of time lengths (17:00, 18:00) of the reserved and taken piece number per time period reaching Y is formed, wherein t is equal to {23, 12, 20, 5, 32, 41, 15, 12, 14}, and t is equal to1，t2，t3，...，tnRespectively representing the time length spent by the fact that the total number of reserved and taken articles in the time period reaches Y to 100 every day, and calculating the average time length of the historical reserved and taken articles in each time period until the number of the reserved and taken articles reaches Y according to the following formula
Figure BDA0002770548610000161
Figure BDA0002770548610000162
The average duration data after calculation is sorted,
Figure BDA0002770548610000163
taking a time period for a peak of scheduled taking;
Pk2 < P < 5, where P is a set threshold of picking up the pieces, because the time period is a peak time period of reserved picking up the pieces, the picking up number of the user is greater than or equal to the set threshold P, and the total number Y of reserved picking up the pieces in each time period is constant, the number of people who reserve picking up the pieces at the time is reduced, and normal picking up of other users is affected;
the map importing unit imports a map of an area where a user is located, the model establishing unit is utilized to establish a two-dimensional model of the imported map, a plane rectangular coordinate system is established, coordinates of the posthouse location position in the plane rectangular coordinate system are (0,0), and the posthouse location information is usedThe coordinate value of the position of the user is (X, Y) ═ 125,85, and the coordinate value of each inflection point on the way for the user to the post is (X)i，Yi) The map importing unit and the model establishing unit are started based on the requirement that a user side starts queuing-free, and the distance L between the position of the user and the stager is calculated according to the following formula:
Figure BDA0002770548610000172
wherein (X)1，Y1) Indicating the first inflection point on the way for the user to go to the courier to pick up the parts.
The time period for the user to reserve and take the piece is (17:00, 18:00), the total reserved piece taking number in the time period is Y (100), the total reserved piece taking number in the time period is Z (76), and Z is less than or equal to Y;
the data processing unit carries out real-time positioning on the positions of the user ends of all users according to the GPS positioning unit, and the time spent on taking the goods of each goods is determined according to the following formula
Figure BDA0002770548610000174
And (3) calculating:
Figure BDA0002770548610000181
the current GPS positioning unit displays that in a time period (Ti, Ti +1), 23 persons wait for taking the parts at the post station, and 15 persons wait for taking the parts at the forward post station, and calculates the total waiting time length T of the current parts taking according to the following formulaEtc. of：
Figure BDA0002770548610000182
The walking speed of the user for getting the goods from the post station is V1.2 m/s, and the time T spent by the user for getting the goods from the post station is calculated according to the following formulaRoad surface：
TRoad surface＝L*V＝135*1.2＝2.7min；
Determining a starting and pickup time point of a user according to the following formula:
T＝Ti+(Tetc. of-TRoad surface)＝17：00+(22.8-2.7)＝17：20；
The user goes to the post station at the time point T17: 20 to take the parts, so that the parts can be taken without queuing.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.

Claims (10)

1. The utility model provides a get an analysis management system based on wisdom commodity circulation which characterized in that: the pickup analysis management system comprises a reservation pickup unit, a central processing unit, a database and a user side;
the system comprises a reservation pickup unit, a central processing unit, a database, a data calling unit, a central processing unit and a client side, wherein the reservation pickup unit is used for making a reservation of pickup time periods on the system by a user, the output end of the reservation pickup unit is electrically connected with the input end of the central processing unit, the central processing unit is used as the core of the whole system and is used for intelligently controlling the whole system, the central processing unit is electrically connected with the database, the database is used for storing logistics information of all users in a certain area and is also used for storing historical pickup information of all users in a certain area, the output end of the database is electrically connected with the input end of the data calling unit, the data calling unit is used for calling corresponding data stored in the database according to the requirement of the central processing unit, the output end of the data calling unit is electrically connected with the input end of the central processing unit, the client side is used for controlling the whole system, the output end of the user end is electrically connected with the input ends of the reserved pickup unit and the central processing unit.
2. The system of claim 1, wherein the system comprises: the data calling unit calls the quantity of the reserved pickup of the user from the database according to the reserved pickup information of the reserved pickup unit and the quantity P of the reserved pickupkAnd a time period (T) for reserving pickupi,Ti+1) Determining the quantity P of the reserved pickup of the user by using a quantity judgment unitkAnd a time period (T) for reserving pickupi,Ti+1) Whether normal pickup of other users is affected or not is judged according to the user is (T)i,Ti+1) Number P of reserved and taken time periodkWhether or not the threshold value is set to be equal to or greater than a set threshold value and (T) is determinedi,Ti+1) Whether the time period is a peak reservation pickup time period or not;
the output end of the central processing unit is electrically connected with the input end of a quantity verification unit, the output end of the quantity verification unit is electrically connected with the input end of a reserved pickup unit, and the quantity verification unit is used for reserving a pickup time period (T)i,Ti+1) And the number verification unit is also used for verifying the time period (T) of the user to reserve and take the piecei,Ti+1) Whether the pickup time period is reserved for the peak or not.
3. The system according to claim 2, wherein the system comprises: the output end of the central processing unit is electrically connected with the input end of the time period analysis unit, and the time period analysis unit is used for analyzing the optimal reserved pickup time period of the user.
4. The system according to claim 3, wherein the system comprises: the system also comprises a map importing unit, when the user makes a reservation to fetch the parts successfully, the map importing unit is used for importing the map of the area where the user is located, the output end of the map importing unit is electrically connected with the input end of the model establishing unit, the model establishing unit is used for establishing a two-dimensional model of the map imported by the map importing unit and establishing a plane rectangular coordinate system, the output end of the model establishing unit is electrically connected with the input end of the central processing unit, the output end of the central processing unit is electrically connected with the input end of the data processing unit, the data processing unit is used for determining the optimal starting pickup time point of a user in the reserved pickup time period, the data processing unit analyzes the starting time point of the courier station in the reserved pickup time period based on the requirement of starting the queue-free at the user terminal.
5. The system according to claim 4, wherein the system comprises: the positions of other users in the same reserved pickup time period are determined through a GPS positioning unit, the output end of the GPS positioning unit is electrically connected with the input end of a user end, the data processing unit sends the analyzed information of the non-queuing departure pickup time point to a message notification unit, and the message notification unit sends the departure pickup time point to the user end for the user to check.
6. A pickup analysis management method based on intelligent logistics is characterized in that: the method comprises the following steps:
s1, the user end appoints to go to the post station to take the time section of the pickup through the appointment pickup unit;
s2, calling the number of the parts to be taken by the user from the database by using the data calling unit;
s3, determining whether the user' S pickup quantity and time period will cause other users to wait in a queue for a long time by using the CPU and the quantity judging unit;
s4, verifying whether the total quantity of the current reserved articles taking in the reserved article taking time period of the user is larger than a set threshold value by using a quantity verification unit;
s5, importing a map of the area where the user is located through a map importing unit, establishing a two-dimensional model of the area by using a model establishing unit, and establishing a plane rectangular coordinate system;
and S6, calculating the departure time point of the user without queuing before the reserved time period by using the data processing unit, and sending the departure time point to the user side through the message notification unit.
7. The method of claim 6, wherein the method comprises: in steps S1-S2, the user uses the reserved pickup unit to reserve the time period for picking up the posthouse (T)i，Ti+1) The data calling unit calls the quantity P of the reserved pickup of the user from the database according to the pickup requirement of the userk。
8. The method of claim 7, wherein the method comprises: in steps S3-S4, the central processing unit sets the total number of reserved pickup pieces per time period to Y, retrieves from the database the time length T for which the number of reserved pickup pieces per time period has reached Y, and forms a set of time lengths (T) for which the number of reserved pickup pieces per time period has reached Yi，Ti+1)＝{t1，t2，t3，...，tnWhere t is1，t2，t3，...，tnRespectively representing the time length spent on the reservation of taking the total number of the articles to reach Y in each time period, and calculating the average time length of the historical reservation of taking the articles of which the number reaches Y in each time period according to the following formula
Figure FDA0002770548600000041
Figure FDA0002770548600000042
The average duration data after calculation is sorted,
Figure FDA0002770548600000043
taking a time period for a peak of scheduled taking;
when P is presentkWhen the reserved pickup time period of the user is the peak reserved pickup time period, forbidding the user to pick up the pickup in the time period, wherein P is a set pickup quantity threshold;
selecting average duration data greater than
Figure FDA0002770548600000044
The time period when the total quantity of the taken pieces is not fully reserved is supplied to the user for reserved taking of the pieces, and the analysis result is sent to the user side through the message notification unit for the user to check;
the number of the reserved pickup units for each reserved time section forms a set PCollection＝{P1，P2，P3，...，PmThe quantity verification unit reserves and takes the total quantity P of the articles in each time period according to the following formulaGeneral assemblyAnd (3) calculating:
Figure FDA0002770548600000051
and when the P total is larger than or equal to Y, the quantity verification unit feeds back the calculation result to the reserved pickup unit, and the reserved pickup unit stops the reserved pickup service in the time period.
9. The method of claim 8, wherein the method comprises: in step S5, the map importing unit imports a map of an area where the user is located, establishes a two-dimensional model of the imported map using the model establishing unit, and establishes a planar rectangular coordinate system in which coordinates of a position where the courier is located are (0,0), coordinate values of a position where the user is located are (X, Y), and coordinate values of each inflection point on a road where the user goes to the courierIs (X)i，Yi) The map importing unit and the model establishing unit are started based on the requirement that a user side starts queuing-free, and the distance L between the position of the user and the stager is calculated according to the following formula:
Figure FDA0002770548600000052
wherein (X)1，Y1) Indicating the first inflection point on the way for the user to go to the courier to pick up the parts.
10. The method of claim 9, wherein the method comprises: in step S6, the time period for the user to reserve pickup is (T)i，Ti+1) The total reserved pickup number of the time period is Y, the total reserved pickup number of the time period is Z, and Z is less than or equal to Y;
the data processing unit carries out real-time positioning on the positions of the user ends of all users according to the GPS positioning unit, and the time spent on taking the goods of each goods is determined according to the following formula
Figure FDA0002770548600000061
And (3) calculating:
Figure FDA0002770548600000062
the current GPS positioning unit displays that M persons wait for taking the parts at the courier station in a time period (Ti, Ti +1), N persons wait for taking the parts at the forward courier station, and the total waiting time length T required for taking the parts at present is calculated according to the following formulaEtc. of：
Figure FDA0002770548600000063
The walking speed of the user going to the post station to take the parts is V, and the user going to the post station is calculated according to the following formulaTime T spent on the road for taking the piece from the stationRoad surface：
TRoad surface＝L*V；
Determining a starting and pickup time point of a user according to the following formula:
T＝Ti+(Tetc. of-TRoad surface)；
The user goes to the posthouse at the T time point to take the parts without queuing to take the parts.
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