CN107451785B - Method and apparatus for outputting information - Google Patents
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- CN107451785B CN107451785B CN201710707706.5A CN201710707706A CN107451785B CN 107451785 B CN107451785 B CN 107451785B CN 201710707706 A CN201710707706 A CN 201710707706A CN 107451785 B CN107451785 B CN 107451785B
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Abstract
The embodiment of the application discloses a method and a device for outputting information. One embodiment of the method comprises: receiving a parameter group aiming at a first region, wherein the parameter group comprises a target order number, a unit number to be distributed and a target average distribution time length; based on the target amount of orders, the number of units to be distributed and the target average distribution time length, executing the following output steps: determining the average distribution time length for distributing the goods indicated by the orders according to the historical distribution records; determining whether a time length difference between the average distribution time length and the target average distribution time length is less than a time length difference threshold value; if yes, generating and outputting first associated information; if not, adjusting the number of the units to be distributed, and continuing to execute the output step based on the adjusted number of the units to be distributed. This embodiment enriches the variety of output information.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to the field of internet technologies, and in particular, to a method and an apparatus for outputting information.
Background
With the development of computer technology, especially internet technology, electronic commerce becomes an increasingly important form of commerce. Electronic commerce generally refers to commerce activity centered on commodity exchange by means of Internet technology, and can also be understood as transaction activity and related service activity performed in an electronic transaction manner on the Internet (Internet), an Intranet (Intranet) and a Value Added Network (VAN), and is electronization, networking and informatization of each link of the traditional commerce activity.
With the continuous development of electronic commerce, the types of information to be output are various. The conventional information output method has the problem that the type of output information is limited.
Disclosure of Invention
It is an object of the embodiments of the present application to provide an improved method and apparatus for outputting information, which solve the technical problems mentioned in the background section above.
The embodiment of the application discloses A1, a method for outputting information, the method comprises: receiving a parameter group aiming at a first region, wherein the parameter group comprises a target order number, a unit number to be distributed and a target average distribution time length; based on the target amount of orders, the number of units to be distributed and the target average distribution time length, executing the following output steps: determining an average delivery duration for delivering the goods indicated by the orders of the target order according to historical delivery records, wherein the goods are delivered by the units to be delivered; determining whether a time length difference between the average distribution time length and the target average distribution time length is smaller than a time length difference threshold value; if yes, first associated information is generated and output, wherein the first associated information is used for indicating the association relation between the target amount of orders and the number of the units to be distributed; if not, adjusting the number of the undetermined delivery units, and continuously executing the output step based on the adjusted number of the undetermined delivery units.
A2, the method as defined above in a1, said method further comprising: determining the average amount of orders of the distribution units according to the target amount of orders and the number of the units to be distributed indicated by the first related information; determining the order density of the first region according to the area of the first region and the target order number; and generating and outputting second associated information, wherein the second associated information is used for indicating an associated relationship between the average amount of orders and the order density.
A3, the method as defined in a2, wherein the received parameter sets are multiple sets, and the generated second related information is multiple pieces of second related information respectively corresponding to the parameter sets; and the above method further comprises: receiving a reference distribution unit number determination request, wherein the reference distribution unit number determination request comprises an area of a second region and the order number of the second region; determining the order density of the second region according to the area of the second region and the order number of the second region; searching order density matched with the order density of the second region in the plurality of generated second associated information; and determining the reference distribution unit number of the second region according to the average order number associated with the searched order density and the order number of the second region.
A4, the method as defined above in A3, said method further comprising: receiving a reference amount of orders specification request including an area of a third region and the number of delivery units of the third region; setting an amount of pending orders, and determining the order density of the third area according to the amount of pending orders and the area of the third area; determining an average amount of orders of the third region based on the amount of pending orders and the number of delivery units of the third region; determining whether the order density of the third region and the average order number of the third region have a correlation or not according to the plurality of generated second correlation information; and determining the undetermined order number as the reference order number of the third region in response to determining that the order density of the third region has an incidence relation with the average order number of the third region.
A5, the method as defined in any one of a1-a4, wherein determining an average delivery duration for delivering the goods based on historical delivery records comprises: generating a plurality of order information of the target order and a plurality of distribution unit information of the undetermined distribution unit; importing the generated order information and the generated distribution unit information into a distribution time estimation model, and generating distribution time length for distributing the goods indicated by each order information, wherein the distribution time estimation model is used for representing the corresponding relation between the order information and the distribution unit information and the distribution time length; and determining the average distribution time length according to the determined distribution time lengths.
The embodiment of the application discloses B1, a device for outputting information, above-mentioned device includes: the system comprises a first receiving unit, a second receiving unit and a third receiving unit, wherein the first receiving unit is configured to receive a parameter group aiming at a first region, and the parameter group comprises a target order number, the number of units to be distributed and a target average distribution time length; a first output unit configured to execute the following output steps based on the target amount of orders, the number of units to be distributed, and the target average distribution time length: determining an average distribution time length of distribution according to historical distribution records, wherein the goods are distributed by a plurality of distribution units of the unit to be distributed; determining whether a time length difference between the average distribution time length and the target average distribution time length is smaller than a time length difference threshold value; if yes, first associated information is generated and output, wherein the first associated information is used for indicating the association relation between the target amount of orders and the number of the units to be distributed; and the jumping unit is configured to adjust the number of undetermined delivery units according to the average delivery duration and the target average delivery duration if the average delivery duration is not the same as the target delivery duration, and continuously execute the output step based on the target order number, the target average delivery duration and the adjusted number of undetermined delivery units.
B2, the apparatus of B1, further comprising: a first determining unit configured to determine an average amount of orders for the delivery units based on the target amount of orders and the number of units to be delivered indicated by the first related information; a second determining unit configured to determine an order density of the first region based on the area of the first region and the target amount of orders; a second output unit configured to generate and output second associated information, wherein the second associated information is used for indicating an associated relationship between the average amount of orders and the order density.
B3, the apparatus according to B2, wherein the received parameter sets are plural sets, and the generated second related information is plural sets of second related information respectively corresponding to the parameter sets; and the above apparatus further comprises: a second receiving unit configured to receive a reference distribution unit number determination request, where the reference distribution unit number determination request includes an area of a second region and an order number of the second region; a third determining unit configured to determine an order density of the second region according to an area of the second region and the order number of the second region; a searching unit configured to search for an order density matching with the order density of the second region in the generated plurality of second associated information; and a fourth determining unit configured to determine the reference number of distribution units in the second region according to the average number of orders associated with the searched order density and the number of orders in the second region.
B4, the apparatus of B3, further comprising: a third receiving unit configured to receive a reference amount of orders specification request including an area of a third region and the number of delivery units of the third region; a fifth determining unit configured to set an amount of pending orders and determine an order density of the third region based on the amount of pending orders and an area of the third region; a sixth determining unit configured to determine an average amount of orders of the third area based on the amount of pending orders and the number of distribution units of the third area; a seventh determining unit configured to determine whether or not the order density of the third area and the average amount of orders of the third area have an association relationship based on the plurality of pieces of generated second association information; and the eighth determining unit is configured to determine the pending order number as the reference order number of the third region in response to determining that the order density of the third region has an association relationship with the average order number of the third region.
B5, the apparatus of any one of B1-B4, the first output unit further configured to: generating a plurality of order information of the target order and a plurality of distribution unit information of the undetermined distribution unit; and importing the generated order information and the distribution unit information into a distribution time estimation model, and generating distribution time length for distributing the goods indicated by each order information.
The embodiment of the application discloses C1, an electronic equipment, above-mentioned electronic equipment includes: one or more processors; a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the method as described in any of implementations a1 through a 5.
The embodiment of the application discloses D1, a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the method as described in any of the implementations A1 to A5.
According to the method and the device for outputting the information, the parameter set aiming at the first region is received, wherein the parameter set comprises the target order number, the number of the units to be distributed and the target average distribution time length; executing the following output step based on the target amount of orders, the number of units to be distributed and the target average distribution time length, and generating and outputting first associated information, wherein the first associated information is used for indicating the association relationship between the target amount of orders and the number of the units to be distributed; or adjusting the number of undetermined delivery units according to the average delivery duration and the target average delivery duration, and continuously executing the output step based on the target order number, the target average delivery duration and the adjusted number of undetermined delivery units, so as to generate and output the first association relation information, thereby enriching the types of the output information.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 is an exemplary system architecture diagram in which the present application may be applied;
FIG. 2 is a flow diagram for one embodiment of a method for outputting information, in accordance with the present application;
FIG. 3 is a flow diagram of one implementation of step 2021 in step 202;
FIG. 4 is a schematic diagram of an application scenario of a method for outputting information according to the present application;
FIG. 5 is a flow diagram of yet another embodiment of a method for outputting information according to the present application;
FIG. 6 is a flow chart of one implementation of the embodiment shown in FIG. 5;
FIG. 7 is a flow chart of yet another implementation of the embodiment shown in FIG. 5;
FIG. 8 is a schematic block diagram illustrating one embodiment of an apparatus for outputting information according to the present application;
FIG. 9 is a block diagram of a computer system suitable for use in implementing the electronic device of an embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Fig. 1 shows an exemplary system architecture 100 to which embodiments of the present method for outputting information or apparatus for outputting information may be applied.
As shown in fig. 1, the system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The user may use the terminal devices 101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages (e.g., order information) or the like. Various communication client applications, such as logistics/takeaway applications, document management applications, search applications, mailbox clients, social platform software, and the like, may be installed on the terminal devices 101, 102, and 103.
The terminal devices 101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, e-book readers, MP3 players (Moving Picture Experts Group Audio Layer III, mpeg compression standard Audio Layer 3), MP4 players (Moving Picture Experts Group Audio Layer IV, mpeg compression standard Audio Layer 4), laptop portable computers, desktop computers, and the like.
The server 105 may be a server providing various services, such as a background server providing support for logistics/takeaway type applications etc. on the terminal devices 101, 102, 103. The background server can store, analyze and the like the orders received from the terminal equipment, feed back the processing results to the terminal equipment and the logistics distribution unit executing the orders, monitor the distribution process and generate historical distribution records after distribution is finished.
It should be noted that the method for outputting information provided in the embodiment of the present application is generally performed by the server 105, and accordingly, the apparatus for outputting information is generally disposed in the server 105.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation. In the present system architecture, the terminal device may not be provided.
With continued reference to FIG. 2, a flow 200 of one embodiment of a method for outputting information in accordance with the present application is shown. The method for outputting information comprises the following steps:
In the present embodiment, an electronic device (e.g., a server shown in fig. 1) on which the method for outputting information operates may receive a parameter set for a first zone. Here, the parameter group includes the target amount of orders, the number of pending delivery units, and the target average delivery time period.
In this embodiment, the parameter set may be input by a user, or may be received by the electronic device from another electronic device.
In this embodiment, the target amount of orders input by the user may be used to indicate the number of orders to be delivered in the first region, for example, 100. The number of pending delivery units may be used to indicate the number of delivery units, for example 10, within the target zone. The target average delivery duration may be used to indicate an average duration that a user desires to deliver a number of orders for a target delivery order to be delivered by a number of delivery units to be delivered.
As an example, the first region may be a city. If a city is divided into a plurality of business circles, the first region may be one of the plurality of business circles.
In this embodiment, the delivery unit may include various means of conveyance for delivery of the items operated by the delivery personnel, which may include, for example and without limitation: bicycles, motorcycles, automobiles, boats, and the like. Each delivery unit may deliver goods indicated by one or more orders.
It should be noted that, when the plurality of distribution units of the pending distribution unit distribute the plurality of orders of the target order, the actually used average time length may be greater than the target average distribution time length, and the actually used average time length may also be less than the target average distribution time length.
In this embodiment, the electronic device (for example, the server shown in fig. 1) on which the method for outputting information is executed may perform the outputting step based on the target amount of orders, the number of units to be distributed, and the target average distribution time period. Here, the output step 202 may include a step 2021, a step 2022, and a step 2023.
In this implementation, the historical delivery record may include various information related to delivery of historical orders, and for example, for a historical order, the historical delivery record may include a delivery address of the historical order, a delivery unit delivering the historical order, an order placing time and a receiving time of the historical order, and the like.
In this embodiment, the goods indicated by the orders of the target orders are delivered by the delivery units of the pending delivery units.
In some optional implementations of this embodiment, step 2021 may be implemented by: and selecting a plurality of historical orders of the target orders from the historical distribution records as a historical order group, wherein the orders in the historical order group are executed by a plurality of distribution units of the unit to be distributed. The delivery times for each order in the historical order set are obtained and an average delivery time for the historical order set is determined. The selected historical order group can be one or a plurality of historical order groups, and if the selected historical order group is a plurality of historical order groups, the average distribution time of the plurality of historical order groups is averaged again to obtain the average distribution time.
In some optional implementations of this embodiment, step 2021 may also be implemented by a process 2021 shown in fig. 3, where the process 2021 may include step 20211, step 20212, and step 20213:
In this implementation manner, the generated order information includes an order placing time and an address of a recipient, and optionally, if the order is a takeout order, the generated order information may further include a pickup address. The generated delivery unit information may include an identification of the delivery unit, and optionally, the delivery unit information may also include location information of the delivery unit at the time of placing the order.
Alternatively, the target order number of order information may be selected from the historical delivery record, and the delivery unit number of delivery unit information may be selected from the historical delivery record.
Alternatively, a number of orders for the target order and a number of units to be delivered may be randomly generated.
In this implementation manner, the delivery time estimation model is used to represent the correspondence between the order information and the delivery unit information and the delivery duration.
Optionally, the delivery time estimation model may be established by: and taking the historical order information of the delivered historical orders, the delivery unit information for delivering the historical orders and the delivery time for delivering the historical orders as training samples, and training a machine learning model to obtain a delivery time estimation model.
Optionally, the delivery time estimation model may also be a lookup table, and the three parameters of the receiving address of the historical order, the delivery unit information for delivering the historical order, and the delivery time for delivering the historical order are used as a triplet. If the delivery address and delivery unit are the same as the historical order, the corresponding delivery time may be looked up from the look-up table.
At step 20213, an average delivery duration is determined based on the determined delivery durations.
It should be noted that the time difference between the average distribution time length and the target average distribution time length may be a difference obtained by subtracting the target average distribution time length from the average distribution time length, or may be a difference obtained by subtracting the average distribution time length from the target average distribution time length, and the time difference between the average distribution time length and the target average distribution time length should be a positive number.
It should be noted that, if the time difference is smaller than the preset time difference threshold, it may be considered that the actual average delivery time length is already close to the target average delivery time length.
If the time difference between the average delivery time length and the target average delivery time length is less than the time difference threshold, step 2023 is performed. If the time length difference between the average delivery time length and the target average delivery time length is greater than or equal to the time length difference threshold, step 203 is executed.
If the result of the determination in step 2022 is yes, step 2023 is executed, i.e. the first correlation information is generated and output.
In this embodiment, the first related information may be output to the local electronic device for local display or further calculation by using the first related information. The first associated information may also be output to other electronic devices for display by the other electronic devices or for further calculation using the same.
In this embodiment, the first association information is used to indicate an association relationship between the number of target units and the number of units to be distributed.
And step 203, continuing to execute the output step according to the number of the units to be distributed which is adjusted and the number of the adjusted units to be distributed.
In this embodiment, in the case that the result determined in step 202 is negative, the electronic device (for example, the server shown in fig. 1) on which the method for outputting information is executed may continue to execute the outputting step according to the number of the units to be distributed that is adjusted and the number of the adjusted units to be distributed.
As an example, the number of pending delivery units may be adjusted according to the average delivery time length and the target average delivery time length, and the outputting step may be continuously performed based on the use of the target amount of orders, the target average delivery time length, and the adjusted number of pending delivery units.
In this embodiment, adjusting the number of units to be configured can be implemented by the following principle: if the average distribution time length is longer than the target average distribution time length, increasing the number of the units to be distributed; and if the average distribution time length is less than the target average distribution time length, reducing the number of the units to be distributed.
With continued reference to fig. 4, fig. 4 is a schematic diagram of an application scenario of the method for outputting information according to the present embodiment. In the application scenario of fig. 4, the user 401 first inputs a parameter set 402, which may include a target amount of orders, a number of pending delivery units, and a target average delivery duration. Thereafter, the electronic device 403 may receive the above parameter set. Then, the electronic device may perform an output step based on the parameter set, as shown in 404: firstly, determining the average distribution time length of the orders of the target amount of orders; and if the average distribution time length is close to the target average distribution time length, generating and outputting first associated information, wherein the first associated information is used for indicating the association relationship between the target orders and the number of the units to be distributed. If not, the electronic device may adjust the undetermined delivery singular number, and then continue to perform the outputting step using the adjusted undetermined delivery singular number, as shown in 405.
The method provided by the above embodiment of the present application receives a parameter set for a first region, where the parameter set includes a target order number, a number of units to be distributed, and a target average distribution time length; executing the following output step based on the target amount of orders, the number of units to be distributed and the target average distribution time length, and generating and outputting first associated information, wherein the first associated information is used for indicating the association relationship between the target amount of orders and the number of the units to be distributed; or adjusting the number of undetermined delivery units according to the average delivery duration and the target average delivery duration, and continuously executing the output step based on the target order number, the target average delivery duration and the adjusted number of undetermined delivery units, so as to generate and output the first association relation information, thereby enriching the types of the output information.
With further reference to fig. 5, a flow 500 of yet another embodiment of a method for outputting information is shown. The process 500 of the method for outputting information includes the following steps:
It should be noted that, for the description of step 501, step 502, and step 503, reference may be made to step 201, step 202, and step 203, which are not described herein again.
In this embodiment, the electronic device (for example, the server shown in fig. 1) on which the method for outputting information is executed may determine the average amount of orders for the delivery units based on the target amount of orders and the number of units to be delivered indicated by the above-described first related information.
And 505, determining the order density of the first region according to the area of the first region and the target order number.
In this embodiment, the electronic device (for example, the server shown in fig. 1) on which the method for outputting information is executed may determine the order density of the first region according to the area of the first region and the target amount of orders.
In this embodiment, the order density may be a quotient of the target amount of orders and the area of the first region.
In the present embodiment, an electronic device (e.g., a server shown in fig. 1) on which the method for outputting information operates may generate and output the second associated information.
In the present embodiment, the second association information is used to indicate the association relationship between the average amount of orders and the order density.
In this embodiment, the received parameter sets may be multiple sets, and a plurality of second related information may be generated by using steps 501 to 506, where each second related information corresponds to each parameter set. And then, the generated plurality of second associated information are utilized to provide reference information for the first region or other regions different from the first region.
In this embodiment, the reference information may be the number of reference delivery units that need to be allocated in the area when the order number is fixed. When the number of the distribution units is referred to, the distribution region can ensure that the distribution time is within the permitted range and the number of the distribution units is not too large.
In this embodiment, the reference number of delivery units may be determined by the flow 600 shown in fig. 6.
In this implementation, the reference delivery unit number determination request includes the area of the second region and the amount of orders of the second region.
In this implementation, the second region may be the same as the first region or may be different from the first region.
In this implementation, the quotient of the number of orders and the area of the second region may be used as the order density of the second region.
In this implementation, the matches may be the same or close. The proximity may be that the difference between the two is less than a preset difference threshold.
In this implementation manner, the quotient of the amount of orders of the second region and the average amount of orders associated with the found order density may be used as the reference number of delivery units of the second region.
In this embodiment, the reference information may also be the number of reference orders in the area that the server can take over from the server under the condition that the number of the delivery units is constant.
In the present embodiment, the reference amount of orders can be determined by the flow 700 shown in fig. 7.
In this implementation, the reference order number determination request includes an area of the third region and the number of delivery units of the third region.
In this implementation, the third region and the second region may be the same region or different regions.
In this implementation, the quotient of the number of pending orders and the area of the third region may be used as the order density of the third region.
In this embodiment, the quotient of the number of pending orders and the number of delivery units in the third region may be determined as the average number of orders in the third region.
As can be seen from fig. 5, 6 and 7, compared with the embodiment corresponding to fig. 2, the flow 500 of the method for outputting information in the present embodiment highlights the steps of generating the second association information and providing the reference information by using the second association information. Thus, the scheme described in this embodiment outputs richer information.
With further reference to fig. 8, as an implementation of the method shown in the above figures, the present application provides an embodiment of an apparatus for outputting information, which corresponds to the method embodiment shown in fig. 2, and which is particularly applicable to various electronic devices.
As shown in fig. 8, the apparatus 800 for outputting information described above in this embodiment includes: a first receiving unit 801, a first output unit 802, and a jumping unit 803. The first receiving unit is configured to receive a parameter set aiming at a first region, wherein the parameter set comprises a target order number, the number of units to be distributed and a target average distribution time length; a first output unit configured to execute the following output steps based on the target amount of orders, the number of units to be distributed, and the target average distribution time length: determining an average delivery duration for delivering the goods indicated by the orders of the target order according to historical delivery records, wherein the goods are delivered by the units to be delivered; determining whether a time length difference between the average distribution time length and the target average distribution time length is smaller than a time length difference threshold value; if yes, first associated information is generated and output, wherein the first associated information is used for indicating the association relation between the target amount of orders and the number of the units to be distributed; and the jumping unit is configured to adjust the number of undetermined delivery units according to the average delivery duration and the target average delivery duration if the average delivery duration is not the same as the target delivery duration, and continuously execute the output step based on the target order number, the target average delivery duration and the adjusted number of undetermined delivery units.
In this embodiment, the detailed processing of the first receiving unit 801, the first output unit 802, and the jumping unit 803 and the technical effects thereof can refer to the related descriptions of step 201, step 202, and step 203 in the corresponding embodiment of fig. 2, which are not described herein again.
In some optional implementations of this embodiment, the apparatus further includes: a first determining unit (not shown) configured to determine an average amount of orders for the delivery units based on the target amount of orders and the number of units to be delivered indicated by the first related information; a second determining unit (not shown) configured to determine an order density of the first region based on the area of the first region and the target amount of orders; a second output unit (not shown) configured to generate and output second associated information, wherein the second associated information is used for indicating an associated relationship between the average amount of orders and the order density.
In some optional implementation manners of this embodiment, the received parameter sets are multiple sets, and the generated second associated information is multiple second associated information respectively corresponding to the parameter sets; and the above apparatus further comprises: a second receiving unit (not shown) configured to receive a reference distribution unit number determination request, wherein the reference distribution unit number determination request includes an area of a second region and an order number of the second region; a third determining unit (not shown) configured to determine an order density of the second region according to an area of the second region and the order number of the second region; a search unit (not shown) configured to search for an order density matching the order density of the second region from the plurality of generated second correlation information; a fourth determining unit (not shown) configured to determine the reference number of delivery units of the second region according to the average number of orders associated with the searched order density and the number of orders of the second region.
In some optional implementation manners of this embodiment, the received parameter sets are multiple sets, and the generated second associated information is multiple second associated information respectively corresponding to the parameter sets; and the above apparatus further comprises: a third receiving unit (not shown) configured to receive a reference amount of orders determination request including an area of the third zone and the number of delivery units of the third zone; a fifth determining unit (not shown) configured to set an amount of pending orders and determine an order density of the third region based on the amount of pending orders and an area of the third region; a sixth determining unit (not shown) configured to determine an average amount of orders of the third area based on the amount of pending orders and the number of distribution units of the third area; a seventh determining unit (not shown) configured to determine whether the order density of the third area has an association relationship with the average amount of orders of the third area, based on the plurality of generated second association information; an eighth determining unit (not shown) configured to determine the pending order number as the reference order number of the third area in response to determining that the order density of the third area has an association relationship with the average order number of the third area.
In some optional implementation manners of this embodiment, the first output unit is further configured to: generating a plurality of order information of the target order and a plurality of distribution unit information of the undetermined distribution unit; importing the generated order information and the generated distribution unit information into a distribution time estimation model, and generating distribution time length for distributing the goods indicated by each order information, wherein the distribution time estimation model is used for representing the corresponding relation between the order information and the distribution unit information and the distribution time length; and determining the average distribution time length according to the determined distribution time lengths.
It should be noted that, for details of implementation and technical effects of each unit in the apparatus for outputting information provided in this embodiment, reference may be made to descriptions of other embodiments in this application, and details are not described herein again.
Referring now to FIG. 9, shown is a block diagram of a computer system 900 suitable for use in implementing the electronic device of an embodiment of the present application. The electronic device shown in fig. 9 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 9, the computer system 900 includes a Central Processing Unit (CPU)901 that can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)902 or a program loaded from a storage section 908 into a Random Access Memory (RAM) 903. In the RAM 903, various programs and data necessary for the operation of the system 900 are also stored. The CPU 901, ROM 902, and RAM 903 are connected to each other via a bus 904. An input/output (I/O) interface 905 is also connected to bus 904.
The following components are connected to the I/O interface 905: an input portion 906 including a keyboard, a mouse, and the like; an output section 907 including components such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 908 including a hard disk and the like; and a communication section 909 including a network interface card such as a LAN card, a modem, or the like. The communication section 909 performs communication processing via a network such as the internet. The drive 910 is also connected to the I/O interface 905 as necessary. A removable medium 911 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 910 as necessary, so that a computer program read out therefrom is mounted into the storage section 908 as necessary.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 909, and/or installed from the removable medium 911. The above-described functions defined in the method of the present application are executed when the computer program is executed by a Central Processing Unit (CPU) 901.
It should be noted that the computer readable medium mentioned above in the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present application may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes a first receiving unit, a first output unit, and a jumping unit. Where the names of the units do not in some cases constitute a limitation of the unit itself, for example, the first receiving unit may also be described as a "unit receiving a set of parameters for the first zone".
As another aspect, the present application also provides a computer-readable medium, which may be contained in the apparatus described in the above embodiments; or may be present separately and not assembled into the device. The computer readable medium carries one or more programs which, when executed by the apparatus, cause the apparatus to: receiving a parameter group aiming at a first region, wherein the parameter group comprises a target order number, a unit number to be distributed and a target average distribution time length; based on the target amount of orders, the number of units to be distributed and the target average distribution time length, executing the following output steps: determining an average delivery duration for delivering the goods indicated by the orders of the target order according to historical delivery records, wherein the goods are delivered by the units to be delivered; determining whether a time length difference between the average distribution time length and the target average distribution time length is smaller than a time length difference threshold value; if yes, first associated information is generated and output, wherein the first associated information is used for indicating the association relation between the target amount of orders and the number of the units to be distributed; if not, adjusting the number of undetermined delivery units according to the average delivery time length and the target average delivery time length, and continuously executing the output step based on the target order number, the target average delivery time length and the adjusted number of undetermined delivery units.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (10)
1. A method for outputting information, the method comprising:
receiving a parameter group aiming at a first region, wherein the parameter group comprises a target order number, a target average distribution time length and the number of undetermined distribution units in the output step, the target average distribution time length is used for indicating the average time length for distributing a plurality of target orders expected by a user, and the number of undetermined distribution units is input by the user or obtained by adjusting the number of undetermined distribution units in the last execution step;
determining the average distribution time length for distributing the goods indicated by the orders of the target orders in the output step according to the historical distribution records, wherein the goods are distributed by the distribution units corresponding to the number of the units to be distributed in the output step;
determining whether a time difference between the average distribution time length and the target average distribution time length is less than a time difference threshold value;
responding to that the time length difference between the average distribution time length and the target average distribution time length is smaller than a time length difference threshold value, and generating and outputting first associated information according to the target orders and the number of the units to be distributed in the output step, wherein the first associated information is used for indicating the association relationship between the target orders and the number of the units to be distributed;
responding to the fact that the time length difference between the average distribution time length and the target average distribution time length is larger than or equal to a time length difference threshold value, adjusting the number of units to be distributed, and executing the next output step;
determining the average amount of orders of the distribution units according to the target amount of orders and the number of the units to be distributed indicated by the first associated information;
determining the order density of the first region according to the area of the first region and the target order number;
generating and outputting second associated information, wherein the second associated information is used for indicating an associated relationship between the average amount of orders and the order density;
and determining the reference delivery unit number and/or the reference order number according to the second correlation information.
2. The method according to claim 1, wherein the received parameter sets are a plurality of sets, and the generated second correlation information is a plurality of second correlation information respectively corresponding to the parameter sets;
wherein the determining the reference number of delivery units according to the second correlation information comprises:
receiving a reference distribution unit number determination request, wherein the reference distribution unit number determination request comprises an area of a second region and an order number of the second region;
determining the order density of the second region according to the area of the second region and the order number of the second region;
searching the order density matched with the order density of the second region in the plurality of generated second associated information;
and determining the reference distribution unit number of the second region according to the average order number associated with the searched order density and the order number of the second region.
3. The method according to claim 1, wherein the received parameter sets are a plurality of sets, and the generated second correlation information is a plurality of second correlation information respectively corresponding to the parameter sets;
wherein determining the reference order number according to the second correlation information comprises:
receiving a reference amount of orders determination request including an area of a third region and the number of delivery units of the third region;
setting an undetermined order number, and determining the order density of the third region according to the undetermined order number and the area of the third region;
determining the average amount of orders of the third region according to the amount of orders to be determined and the number of distribution units of the third region;
determining whether the order density of the third region and the average order number of the third region have an association relation or not according to the generated plurality of second association information;
determining the number of pending orders as a reference order number of a third zone in response to determining that the order density of the third zone has an association relationship with the average order number of the third zone.
4. The method according to any one of claims 1-3, wherein determining the average delivery duration for delivering the goods indicated by the orders of the target order in the outputting step according to the historical delivery records comprises:
generating a plurality of pieces of order information of the target order and a plurality of pieces of distribution unit information of the undetermined distribution unit;
importing the generated order information and the distribution unit information into a distribution time estimation model, and generating distribution time length for distributing the goods indicated by each order information;
and determining the average distribution time length according to the determined distribution time lengths.
5. An apparatus for outputting information, the apparatus comprising:
the system comprises a first receiving unit, a second receiving unit and a third receiving unit, wherein the first receiving unit is configured to receive a parameter set aiming at a first region, the parameter set comprises a target order number, a target average distribution time length and the number of undetermined distribution units in the step of outputting this time, the target average distribution time length is used for indicating the average time length for distributing a plurality of orders of a target order expected by a user, and the number of undetermined distribution units is input by the user or is obtained by adjusting the number of undetermined distribution units in the step of executing the last time;
the first output unit is configured to determine the average delivery duration for delivering the goods indicated by the orders of the target orders in the output step according to a historical delivery record, wherein the goods are delivered by the delivery unit corresponding to the number of the units to be delivered in the output step; determining whether a time difference between the average distribution time length and the target average distribution time length is less than a time difference threshold value; responding to that the time length difference between the average distribution time length and the target average distribution time length is smaller than a time length difference threshold value, and generating and outputting first associated information according to the target orders and the number of the units to be distributed in the output step, wherein the first associated information is used for indicating the association relationship between the target orders and the number of the units to be distributed;
the skip unit is configured to respond that the time length difference between the average distribution time length and the target average distribution time length is greater than or equal to a time length difference threshold value, adjust the number of the units to be distributed and execute the next output step;
the first determining unit is configured to determine the average amount of orders of the distribution units according to the target amount of orders indicated by the first associated information and the number of units to be distributed;
the second determining unit is configured to determine the order density of the first region according to the area of the first region and the target order number;
a second output unit configured to generate and output second associated information, wherein the second associated information is used for indicating an associated relationship between the average amount of orders and the order density;
and the reference data determining unit is used for determining the reference delivery unit number and/or the reference order number according to the second associated information.
6. The apparatus according to claim 5, wherein the received parameter sets are plural sets, and the generated second related information is plural second related information respectively corresponding to the parameter sets;
wherein the reference data determination unit includes:
a second receiving unit, configured to receive a reference distribution unit number determination request, where the reference distribution unit number determination request includes an area of a second region and an order number of the second region;
a third determining unit, configured to determine an order density of the second region according to the area of the second region and the order number of the second region;
the searching unit is configured to search the order density matched with the order density of the second region in the plurality of generated second associated information;
and the fourth determining unit is configured to determine the reference distribution unit number of the second region according to the average order number associated with the searched order density and the order number of the second region.
7. The apparatus according to claim 5, wherein the received parameter sets are plural sets, and the generated second related information is plural second related information respectively corresponding to the parameter sets;
the reference data determination unit includes:
a third receiving unit configured to receive a reference amount of orders determination request including an area of a third region and the number of delivery units of the third region;
the fifth determining unit is configured to set the number of pending orders and determine the order density of the third region according to the number of pending orders and the area of the third region;
a sixth determining unit configured to determine an average amount of orders of the third region based on the amount of pending orders and the number of distribution units of the third region;
a seventh determining unit configured to determine whether the order density of the third region and the average amount of orders of the third region have an association relationship, based on the plurality of generated second association information;
an eighth determining unit configured to determine the number of pending orders as a reference order number of the third region in response to determining that the order density of the third region has an association relationship with the average order number of the third region.
8. The apparatus of any of claims 5-7, wherein the first output unit is further configured to:
generating a plurality of pieces of order information of the target order and a plurality of pieces of distribution unit information of the undetermined distribution unit;
importing the generated order information and the distribution unit information into a distribution time estimation model, and generating distribution time length for distributing the goods indicated by each order information;
and determining the average distribution time length according to the determined distribution time lengths.
9. An electronic device, characterized in that the electronic device comprises:
one or more processors;
a storage device for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method recited in any of claims 1-4.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-4.
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| CN109978418B (en) * | 2017-12-27 | 2021-06-22 | 拉扎斯网络科技（上海）有限公司 | Order distribution duration determining method and device |
| CN110110950A (en) * | 2018-02-01 | 2019-08-09 | 北京京东振世信息技术有限公司 | Generate the method, apparatus and computer readable storage medium in dispatching road area |
| CN110288276B (en) * | 2018-03-19 | 2024-01-16 | 北京京东尚科信息技术有限公司 | Method and device for generating information |
| CN110119847B (en) * | 2019-05-14 | 2021-07-09 | 拉扎斯网络科技（上海）有限公司 | Distribution time length prediction method and device, storage medium and electronic equipment |
| CN110210946A (en) * | 2019-06-10 | 2019-09-06 | 网易无尾熊（杭州）科技有限公司 | Data processing method and device, medium and calculating equipment |
| CN112348422B (en) * | 2019-08-13 | 2023-11-03 | 北京京东振世信息技术有限公司 | Information generation method and device |
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