CN111429078B - E-commerce platform delivery system - Google Patents

E-commerce platform delivery system Download PDF

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CN111429078B
CN111429078B CN202010509865.6A CN202010509865A CN111429078B CN 111429078 B CN111429078 B CN 111429078B CN 202010509865 A CN202010509865 A CN 202010509865A CN 111429078 B CN111429078 B CN 111429078B
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陈亮
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Fresh Food (Chongqing) Ecological Agriculture Technology Co.,Ltd.
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Beijing Missfresh Ecommerce Co Ltd
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    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
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Abstract

The invention relates to an e-commerce platform delivery system, which comprises an automatic sorting module, a loading module and a transport delivery vehicle, wherein the automatic sorting module is used for sorting goods; the automatic sorting module classifies commodities ordered in the online orders according to delivery addresses in the received online orders, and instructs the loading module to load the commodities classified in the same class into the same transport delivery vehicle; the transport delivery vehicle includes a control panel, a memory containing machine readable media, a delivery cabinet, and at least one processor; the machine-readable medium has stored therein machine-executable code comprising instructions for communicating an online order; the processor is communicatively coupled to the memory and is capable of executing the machine executable code to cause the at least one processor to receive identification information from the customer at the control panel, authenticate the customer, and retrieve the package from at least one delivery cabinet containing the package in the customer order and paid for.

Description

E-commerce platform delivery system
Technical Field
The invention relates to the technical field of electronic commerce, in particular to an e-commerce platform delivery system.
Background
In the prior art, after receiving order information of a customer, an e-commerce platform packages commodities ordered in a customer order by background staff, and delivers the commodities to the customer through an express company. Express companies mainly rely on couriers to distribute a plurality of commodities with similar addresses (such as the same cell, the same office building and the like) together. The delivery in the prior art excessively depends on the number of couriers and can be operated when the human resource cost is low, but with the low global fertility rate, the expected human resource cost is higher and higher in the future, and once the human resource cost exceeds the range capable of being borne by the e-commerce platform, the current delivery mode is difficult to operate normally.
The user experience of an online shopping customer is largely related to how long the customer receives the ordered goods. The closer the time an order is received to the time the customer places an order, the better the customer experience and the more likely the customer is to give a high rating. But the sorting efficiency of express companies in the prior art is not high, and many companies still rely on manual sorting and are difficult to meet the development requirements of electronic commerce.
Disclosure of Invention
The invention aims to provide a delivery system of an E-commerce platform, and aims to solve the technical problems of reducing the dependence of a delivery process on manpower and improving the delivery efficiency.
In order to achieve the purpose, the invention provides an E-commerce platform delivery system, which comprises an automatic sorting module, a loading module and a transport delivery vehicle; the automatic sorting module classifies commodities ordered in the online orders according to delivery addresses in the received online orders, and instructs the loading module to load the commodities classified in the same class into the same transport delivery vehicle; the transport delivery vehicle includes a control panel, a memory containing machine readable media, a delivery cabinet, and at least one processor; the machine-readable medium has stored therein machine-executable code comprising instructions for communicating an online order; the processor is communicatively coupled to the memory and is capable of executing the machine executable code to cause the at least one processor to receive identification information from the customer at the control panel, authenticate the customer, and retrieve the package from at least one delivery cabinet containing the package in the customer order and paid for.
The automatic sorting module comprises a calculation module, the calculation module determines delivery addresses in all online orders received on the same day as a delivery address sample set X, wherein,
X={x1，x2，x3，……xn}; wherein n is the total number of samples;
assuming that the e-commerce platform has m storerooms, each sample has at least m paths to reach each storeroom of the e-commerce platform, and the row matrix of each sample is as follows:
xj={xj1，xj2，xj3，……xjm}；
wherein j =1,2,3 … … n, m being a positive integer greater than 0;
dividing the sample set X into C types, wherein C is more than or equal to 2 and less than or equal to n, and determining a constraint matrix U as follows:
Figure 713113DEST_PATH_IMAGE001
the constraint conditions of the constraint matrix are as follows:
Figure 294267DEST_PATH_IMAGE002
0≤uij≤1
Figure 629433DEST_PATH_IMAGE003
wherein i =1,2,3 … … C, j =1,2,3 … … n,
uijthe determination method of (2) is as follows:
firstly, calculating the sum of the distances between each of m storehouses and each of n delivery addresses, and sequencing the sum of the distances from small to large; taking the storeroom corresponding to the sum of C distances arranged in front, uijThe value of (a) is the ratio of the distance between the ith warehouse in the warehouse corresponding to the sum of the jth delivery address and the sequenced C distances to the sum of the ith distance in the sum of the sequenced C distances;
all of the warehouse locations of the e-commerce platform are represented as a warehouse sample set V, wherein,
V={v11，v12，v13，……v1m}；
sample xjThe Euclidean distance from the storehouse sample set V is as follows:
Figure 358355DEST_PATH_IMAGE004
according to sample xjThe euclidean distance to the library sample set V determines the minimum objective function G, where,
Figure 125585DEST_PATH_IMAGE005
selecting all goods meeting G and A, and loading the goods classified into one type into the same transport delivery vehicle through the loading module; where a is a numerical value greater than 0 specified by the user.
Further preferably, after the goods satisfying G ≦ A are loaded into the same delivery vehicle, the calculation module iteratively calculates a new minimum objective function repeatedly using the delivery addresses of the goods without classification as a new sample set of delivery addresses until all the goods are classified.
The control panel is provided with a screen for data input, a customer inputs an order and a goods taking code through the screen to finish authentication, the transport delivery vehicle conveys goods ordered by the authenticated customer to a delivery container after the authentication is finished, and the delivery container is opened so as to finish the goods taking.
The control panel is provided with an infrared scanner, a customer scans the two-dimensional code or the bar code through the infrared scanner to finish authentication, the transport delivery vehicle conveys commodities ordered by the authenticated customer to a delivery container after the authentication is finished, and the delivery container is opened so as to finish goods taking.
Further preferably, the processor of the transportation delivery vehicle is further provided with a path planning module, and the path planning module plans a path according to the principle that the travel distance is shortest and/or the travel time is shortest by taking the delivery addresses of all the goods loaded in the transportation delivery vehicle as a destination.
The transport delivery vehicle is an automatic drive truck.
The internal part of the transportation delivery vehicle is provided with a multilayer goods shelf and an automatic conveyer belt, when a customer who gets goods finishes authentication, all goods in the transportation delivery vehicle are stored in the multilayer goods shelf, each goods has a unique goods identification code, the goods identification code corresponds to an order getting code, a two-dimensional code or a bar code of the customer one by one, and after the customer finishes authentication, the automatic conveyer belt conveys the goods marked by the order getting code, the two-dimensional code or the bar code one by one corresponding to the goods identification code of the customer from the multilayer goods shelf to a delivery cabinet and opens the delivery cabinet to finish delivery.
Further preferably, the processor of the delivery vehicle is further provided with an information notification module, and the information notification module is used for notifying a user in an order with a delivery address whose distance from the predetermined location is less than a predetermined value to pick up goods from the predetermined location when the delivery vehicle arrives at the predetermined location. The processor of the transport delivery vehicle is also provided with a timing module, the timing module starts timing when the transport delivery vehicle arrives at a preset place, after a preset time, the transport delivery vehicle is controlled to leave the preset place and start to the next place, meanwhile, the control information notification module sends a notification to a client who does not get goods in time, and the client who does not get goods in time is informed that the goods ordered by the client will be delivered continuously on the next day because the client does not arrive at the appointed place in time to get goods.
Advantageous effects
Compared with the prior art, the invention has the beneficial effects that: the E-commerce platform delivery system determines the minimum objective function through the Euclidean distance between the delivery address sample set and the storehouse sample set, further classifies commodities ordered in online orders according to the minimum objective function, determines commodities which are loaded in the same transport delivery vehicle, greatly improves the automatic sorting efficiency, reduces the dependence on manpower in the sorting and delivery processes, adopts the transport delivery vehicle and the automatic driving technology to automatically carry out path planning, automatically informs a customer of getting goods at an appointed place, and informs the customer of the time of getting goods next time under the condition that the customer does not get goods in time, so that the delivery efficiency is improved.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
Fig. 1 is a schematic structural diagram of the delivery system of the e-commerce platform of the invention.
Detailed Description
The present invention is described in more detail below to facilitate an understanding of the present invention.
As shown in fig. 1, the e-commerce platform delivery system of the present invention includes an automatic sorting module, a loading module and a transport delivery vehicle; the automatic sorting module classifies commodities ordered in the online orders according to delivery addresses in the received online orders, and instructs the loading module to load the commodities classified in the same class into the same transport delivery vehicle; the transport delivery vehicle includes a control panel, a memory containing machine readable media, a delivery cabinet, and at least one processor; the machine-readable medium has stored therein machine-executable code comprising instructions for communicating an online order; the processor is communicatively coupled to the memory and is capable of executing the machine executable code to cause the at least one processor to receive identification information from the customer at the control panel, authenticate the customer, and retrieve the package from at least one delivery cabinet containing the package in the customer order and paid for.
The automatic sorting module comprises a calculation module, the calculation module determines delivery addresses in all online orders received on the same day as a delivery address sample set X, wherein,
X={x1，x2，x3，……xn}; wherein n is the total number of samples;
assuming that the e-commerce platform has m storerooms, each sample has at least m paths to reach each storeroom of the e-commerce platform, and the row matrix of each sample is as follows:
xj={xj1，xj2，xj3，……xjm}；
wherein j =1,2,3 … … n, m being a positive integer greater than 0;
dividing the sample set X into C types, wherein C is more than or equal to 2 and less than or equal to n, and determining a constraint matrix U as follows:
Figure 623562DEST_PATH_IMAGE001
the constraint conditions of the constraint matrix are as follows:
Figure 395209DEST_PATH_IMAGE002
0≤uij≤1
Figure 283531DEST_PATH_IMAGE003
wherein i =1,2,3 … … C, j =1,2,3 … … n,
uijthe determination method of (2) is as follows:
firstly, calculating the sum of the distances between each of m storehouses and each of n delivery addresses, and sequencing the sum of the distances from small to large; taking the storeroom corresponding to the sum of C distances arranged in front, uijThe value of (a) is the ratio of the distance between the ith warehouse in the warehouse corresponding to the sum of the jth delivery address and the sequenced C distances to the sum of the ith distance in the sum of the sequenced C distances;
all of the warehouse locations of the e-commerce platform are represented as a warehouse sample set V, wherein,
V={v11，v12，v13，……v1m}；
sample xjThe Euclidean distance from the storehouse sample set V is as follows:
Figure 166036DEST_PATH_IMAGE004
according to sample xjThe euclidean distance to the library sample set V determines the minimum objective function G, where,
Figure 518520DEST_PATH_IMAGE005
selecting all goods meeting G and A, and loading the goods classified into one type into the same transport delivery vehicle through the loading module; where a is a numerical value greater than 0 specified by the user.
To better illustrate the above embodiments, in a preferred embodiment, assume that a platform has a total of m =6 stores (denoted as m1, m2, m3, m4, m5, m 6), and n =4 delivery addresses (denoted as n1, n2, n3, n 4) in all online orders received on the same day, and determine u according to the following stepsij：
Firstly, m =6 storehouses are calculatedThe distance between each of the warehouses (denoted as m1, m2, m3, m4, m5, m 6) and each of the n =4 delivery addresses (denoted as n1, n2, n3, n 4) is denoted as m1n1, m1n2, m1n3, m1n4, m2n1, m2n2, m2n3, m2n4, m3n1, m3n2, m4n2, m5n2, m6n2, m = 4n2, m = 1n + 2; l2= m2n1+ m2n2+ m2n3+ m2n 4; l3= m3n1+ m3n2+ m3n3+ m3n 4; l4= m4n1+ m4n2+ m4n3+ m4n 4; l5= m5n1+ m5n2+ m5n3+ m5n 4; l6= m6n1+ m6n2+ m6n3+ m6n 4; the sum of the distances L1, L2, L3, L4, L5 and L6 are sorted in the order from small to large (assuming L1)<L2<L3<L4<L5<L6); dividing the sample set X into C =3 classes (and 2 ≦ C ≦ n), and taking the storeroom corresponding to the sum of the C (= 3) distances arranged in the front (namely, the storerooms m1, m2 and m3 corresponding to the sum of the distances L1, L2 and L3), and uijThe value of (a) is the ratio of the distance between the ith storeroom in the storeroom corresponding to the sum of the jth delivery address and the sequenced C distances to the sum of the ith distance in the storeroom corresponding to the sum of the sequenced C distances, and specifically comprises the following steps:
U11= m1n1/ L1；U12= m1n2/ L1；U13= m1n3/ L1；U14= m1n4/ L1；
U21= m2n1/ L2；U22= m2n2/ L2；U21= m2n1/ L2；U22= m2n2/ L2；
U31= m3n1/ L3；U32= m3n2/ L3；U33= m3n3/ L3；U34= m3n4/ L3；
determine uijAnd then determining a constraint matrix U.
Further preferably, after the goods satisfying G ≦ A are loaded into the same delivery vehicle, the calculation module iteratively calculates a new minimum objective function repeatedly using the delivery addresses of the goods without classification as a new sample set of delivery addresses until all the goods are classified.
The control panel is provided with a screen for data input, a customer inputs an order and a goods taking code through the screen to finish authentication, the transport delivery vehicle conveys goods ordered by the authenticated customer to a delivery container after the authentication is finished, and the delivery container is opened so as to finish the goods taking.
The control panel is provided with an infrared scanner, a customer scans the two-dimensional code or the bar code through the infrared scanner to finish authentication, the transport delivery vehicle conveys commodities ordered by the authenticated customer to a delivery container after the authentication is finished, and the delivery container is opened so as to finish goods taking.
Further preferably, the processor of the transportation delivery vehicle is further provided with a path planning module, and the path planning module plans a path according to the principle that the travel distance is shortest and/or the travel time is shortest by taking the delivery addresses of all the goods loaded in the transportation delivery vehicle as a destination.
The transport delivery vehicle is an automatic drive truck.
The internal part of the transportation delivery vehicle is provided with a multilayer goods shelf and an automatic conveyer belt, when a customer who gets goods finishes authentication, all goods in the transportation delivery vehicle are stored in the multilayer goods shelf, each goods has a unique goods identification code, the goods identification code corresponds to an order getting code, a two-dimensional code or a bar code of the customer one by one, and after the customer finishes authentication, the automatic conveyer belt conveys the goods marked by the order getting code, the two-dimensional code or the bar code one by one corresponding to the goods identification code of the customer from the multilayer goods shelf to a delivery cabinet and opens the delivery cabinet to finish delivery.
Further preferably, the processor of the delivery vehicle is further provided with an information notification module, and the information notification module is used for notifying a user in an order with a delivery address whose distance from the predetermined location is less than a predetermined value to pick up goods from the predetermined location when the delivery vehicle arrives at the predetermined location.
The processor of the transport delivery vehicle is also provided with a timing module, the timing module starts timing when the transport delivery vehicle arrives at a preset place, after a preset time, the transport delivery vehicle is controlled to leave the preset place and start to the next place, meanwhile, the control information notification module sends a notification to a client who does not get goods in time, and the client who does not get goods in time is informed that the goods ordered by the client will be delivered continuously on the next day because the client does not arrive at the appointed place in time to get goods.
The foregoing describes preferred embodiments of the present invention, but is not intended to limit the invention thereto. Modifications and variations of the embodiments disclosed herein may be made by those skilled in the art without departing from the scope and spirit of the invention.

Claims (9)

1. The E-commerce platform delivery system is characterized by comprising an automatic sorting module, a loading module and a transport delivery vehicle; the automatic sorting module classifies commodities ordered in the online orders according to delivery addresses in the received online orders, and instructs the loading module to load the commodities classified in the same class into the same transport delivery vehicle; the transport delivery vehicle includes a control panel, a memory containing machine readable media, a delivery cabinet, and at least one processor; the machine-readable medium has stored therein machine-executable code comprising instructions for communicating an online order; said processor being communicatively connected to said memory, said processor being capable of executing said machine executable code to cause said at least one processor to receive identification information from a customer at a control panel, authenticate the customer, and retrieve the package from at least one delivery cabinet containing the package in an online order placed and paid by the customer;
the automatic sorting module comprises a calculation module, the calculation module determines delivery addresses in all online orders received on the same day as a delivery address sample set X, wherein,
X={x1，x2，x3，……xn}; wherein n is the total number of samples;
assuming that the e-commerce platform has m storerooms, each sample has at least m paths to reach each storeroom of the e-commerce platform, and the row matrix of each sample is as follows:
xj={xj1，xj2，xj3，……xjm}；
wherein j =1,2,3 … … n, m being a positive integer greater than 0;
dividing the sample set X into C types, wherein C is more than or equal to 2 and less than or equal to n, and determining a constraint matrix U as follows:
Figure 816687DEST_PATH_IMAGE001
the constraint conditions of the constraint matrix are as follows:
Figure 83720DEST_PATH_IMAGE002
0≤uij≤1
Figure 282620DEST_PATH_IMAGE003
wherein i =1,2,3 … … C, j =1,2,3 … … n,
uijthe determination method of (2) is as follows:
firstly, calculating the sum of the distances between each of m storehouses and each of n delivery addresses, and sequencing the sum of the distances from small to large; taking the storeroom corresponding to the sum of C distances arranged in front, uijThe value of (a) is the ratio of the distance between the ith warehouse in the warehouse corresponding to the sum of the jth delivery address and the sequenced C distances to the sum of the ith distance in the sum of the sequenced C distances;
all of the warehouse locations of the e-commerce platform are represented as a warehouse sample set V, wherein,
V={v11，v12，v13，……v1m}；
sample xjThe Euclidean distance from the storehouse sample set V is as follows:
Figure 295706DEST_PATH_IMAGE004
according to sample xjThe euclidean distance to the library sample set V determines the minimum objective function G, where,
Figure 289070DEST_PATH_IMAGE005
selecting all goods meeting G and A, and loading the goods classified into one type into the same transport delivery vehicle through the loading module; where a is a numerical value greater than 0 specified by the user.
2. The e-commerce platform delivery system of claim 1, wherein the calculation module iteratively calculates a new minimum objective function repeatedly using the delivery addresses of the goods without classification as a new sample set of delivery addresses after the goods satisfying G ≦ A are loaded into the same delivery vehicle until all the goods are classified.
3. The e-commerce platform delivery system of claim 1, wherein the control panel is provided with a screen for data input, the customer inputs an order pick-up code through the screen to complete authentication, the delivery vehicle delivers the goods ordered by the authenticated customer to the delivery container after the authentication is completed, and the delivery container is opened to complete the pick-up.
4. The e-commerce platform delivery system of claim 1, wherein the control panel is provided with an infrared scanner, the customer scans the two-dimensional code or the bar code through the infrared scanner to complete authentication, the delivery vehicle delivers the goods ordered by the authenticated customer to the delivery container after the authentication is completed, and the delivery container is opened to complete the delivery.
5. The e-commerce platform delivery system of claim 1, wherein a path planning module is further arranged in the processor of the transport delivery vehicle, and the path planning module performs path planning by using delivery addresses of all goods loaded in the transport delivery vehicle as destinations according to the principle of shortest driving distance and/or shortest driving time.
6. An e-commerce platform delivery system of any one of claims 1 to 5, wherein the transport delivery vehicle is an automated guided vehicle.
7. The e-commerce platform delivery system of claim 1, wherein the delivery vehicle is provided with a plurality of shelves and an automatic conveyor belt, all goods in the delivery vehicle are stored in the shelves after the customer has authenticated, each goods has a unique goods identification code, the goods identification code is in one-to-one correspondence with the order pick-up code, the two-dimensional code or the bar code of the customer, and after the customer has authenticated, the automatic conveyor belt conveys the goods marked by the goods identification code in one-to-one correspondence with the order pick-up code, the two-dimensional code or the bar code of the customer from the shelves to the delivery container and opens the delivery container to complete delivery.
8. An e-commerce platform delivery system of claim 1, wherein the processor of the transport delivery vehicle is further provided with an information notification module for notifying a user in an order of a delivery address having a distance from a predetermined location less than a predetermined value to pick up a delivery to the predetermined location when the transport delivery vehicle arrives at the predetermined location.
9. The e-commerce platform delivery system of claim 1, wherein a timing module is further arranged in the processor of the transport delivery vehicle, the timing module starts timing when the transport delivery vehicle arrives at a predetermined place, after a predetermined time, the transport delivery vehicle is controlled to leave the predetermined place and start to the next place, and meanwhile, the control information notification module gives a notification to a client who does not pick up goods in time, and informs the client who does not pick up goods in time that the client orders goods will be delivered continuously on the next day because the client does not arrive at a specified place in time to pick up goods.
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