CN107767212B - Supply-demand relation calculation method, device, server and storage medium - Google Patents
Supply-demand relation calculation method, device, server and storage medium Download PDFInfo
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Abstract
The invention discloses a method, a device, a server and a storage medium for calculating supply-demand relationship, wherein the method comprises the following steps: acquiring the position of a newly generated target order; calculating the current order weight of at least one distributor moving in a preset range according to the position of the target order, wherein the order weight represents the order taking capability of the distributor; and calculating the current flash order ratio of the target order according to the quantity of the at least one distributor and the respective current order weight so as to depict the current supply and demand relationship of the position of the target order. The invention ensures the balance of supply and demand by calculating reasonable supply and demand relation parameters.
Description
Technical Field
The invention relates to the field of internet, in particular to a supply and demand relation calculation method, a supply and demand relation calculation device, a supply and demand relation calculation server and a storage medium.
Background
At present, the situation that the order grabbing rate is reduced due to various weather, special festivals and the like causes unbalanced distribution of platform transport capacity and demand, and bad user experience is brought to customers. In order to increase the satisfaction degree of customers, the price needs to be adjusted, and the supply and demand balance is adjusted by using a price lever.
In the prior art, an optimization algorithm is not provided, so that the supply and demand relationship can be reasonably analyzed, and the supply and demand still cannot reach the expected balance. Calculating reasonable supply and demand relationships is a problem to be solved urgently at present.
Disclosure of Invention
In view of this, the present invention provides a method, an apparatus, a server and a storage medium for calculating a supply-demand relationship, so as to calculate a reasonable supply-demand relationship parameter and ensure supply-demand balance.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, an embodiment of the present invention provides a method for calculating a supply-demand relationship, including:
acquiring the position of a newly generated target order;
calculating the current order weight of at least one distributor moving in a preset range according to the position of the target order, wherein the order weight represents the order taking capability of the distributor;
and calculating the current flash order ratio of the target order according to the quantity of the at least one distributor and the respective current order weight so as to depict the current supply and demand relationship of the position of the target order.
Further, the calculating a current order weight of each of at least one distributor moving within a preset range according to the position of the target order includes:
determining at least one distributor moving within a preset range according to the position of the target order;
and counting the total number of orders which appear in a preset time period in a distribution range determined by taking the current position of each distributor as the center according to the pre-recorded real-time order information, and taking the total number as the current order weight of each distributor.
Further, the calculating a current flash rate of the target order according to the number of the at least one distributor and the respective current order weight comprises:
and calculating the ratio of the number of the at least one distributor to the average value of the current order weight of each distributor to serve as the current flash order ratio of the target order.
In a second aspect, an embodiment of the present invention provides an apparatus for calculating an supply-demand relationship, including:
the position acquisition module is used for acquiring the position of a newly generated target order;
the order weight calculation module is used for calculating the respective current order weight of at least one distributor moving in a preset range according to the position of the target order, and the order weight represents the order taking capability of the distributor;
and the flash order ratio calculating module is used for calculating the current flash order ratio of the target order according to the quantity of the at least one distributor and the respective current order weight so as to depict the current supply and demand relationship of the position of the target order.
Further, the order weight calculation module includes:
the distributor determining submodule is used for determining at least one distributor moving in a preset range according to the position of the target order;
and the order weight determining submodule is used for counting the total number of orders which are determined within a distribution range by taking the current position of each distributor as the center and appear within a preset time period according to the pre-recorded real-time order information, and taking the total number as the current order weight of each distributor.
Further, the flash single ratio calculation module is specifically configured to:
and calculating the ratio of the number of the at least one distributor to the average value of the current order weight of each distributor to serve as the current flash order ratio of the target order.
In a third aspect, an embodiment of the present invention provides a server, where the server includes:
one or more processors;
a storage device for storing one or more programs,
when the one or more programs are executed by the one or more processors, the one or more processors implement a method for calculating an supply-demand relationship as described in any one of the first aspects.
In a fourth aspect, embodiments of the present invention provide a storage medium containing computer-executable instructions which, when executed by a computer processor, implement a method of calculating an supply-demand relationship as described in any one of the first aspects.
The invention has the beneficial effects that: according to the method, the device, the server and the storage medium for calculating the supply-demand relationship, the flash order ratio of the newly generated target order is calculated according to the obtained current order weights of the distributor and the distributor moving within the preset range of the newly generated target order, so that the current supply-demand relationship of the position of the target order is described, the unbalanced supply-demand relationship can be adjusted through the balance of the supply-demand relationship, the unbalanced supply-demand relationship is changed, good platform experience is brought to the distributor and the user, and the competitiveness of a platform is improved.
Drawings
The above and other features and advantages of the present invention will become more apparent to those of ordinary skill in the art by describing in detail exemplary embodiments thereof with reference to the attached drawings, in which:
fig. 1 is a schematic flow chart of a method for calculating a supply-demand relationship according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating an order supply-demand relationship according to an embodiment of the present invention;
FIG. 3 is a block diagram of a supply-demand computing apparatus according to a second embodiment of the present invention;
fig. 4 is a block diagram of a device according to a third embodiment of the present invention.
Detailed Description
The technical scheme of the invention is further explained by the specific implementation mode in combination with the attached drawings. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures. The embodiments of the invention and the features of the embodiments can be combined with each other without conflict.
The method for calculating the supply and demand relationship can obtain the flash order ratio of any point of the map, namely the flash order ratio corresponding to a new order generated at each position on the map. Therefore, according to the order price adjusting method provided by the invention, corresponding price adjustment can be carried out according to the flash order ratio to realize adjustment of supply and demand relations, so that the purpose of adjusting order distribution and transportation capacity distribution in a full map by a platform is achieved.
Example one
The embodiment of the invention provides a method for calculating a supply and demand relationship. The method is suitable for application scenarios of adjusting the order supply and demand balance, such as: the method can be executed by a computing device of supply and demand relationship. The supply-and-demand computing means may be implemented by means of software and/or hardware provided within the server. The following description will take the demand-supply relationship conditions of the flash delivery order as an example. As shown in fig. 1, the method includes:
The newly generated target order is a new order which is just placed by the user, and the position information of the user needing to pick up goods and the destination information of the user needing to deliver goods can be obtained through the order information of the user.
And 120, calculating the current order weight of each at least one distributor moving in the preset range according to the position of the target order, wherein the order weight represents the order taking capability of the distributor.
The preset range is set according to the order receiving capacity of the deliverer, so that the order can be timely acquired by the deliverer, and the deliverer is ensured not to be disturbed by invalid information. Optionally, the preset range may be set to be within a circle with the target order position as a center and three kilometers as a radius; or setting according to the distance of the distributor to the target order position; or setting according to the time when the deliverer reaches the target order position in consideration of the travel section. If no distributor meeting the conditions exists in the preset range, the search range can be expanded according to a certain rule; when the search range is expanded to a preset maximum range, the range is not expanded any more by the distributor which does not meet the conditions, or the specified distributor is dispatched to complete the distribution activity, or the full-platform broadcast is carried out and all the distributors in the whole city are notified to complete the distribution activity.
Order weight is a quantitative assessment of the platform's ability to pick up orders for the distributor based on an algorithm or evaluation criteria.
And searching for the deliverers meeting the conditions according to the preset range, acquiring the current order weights of the corresponding deliverers, and evaluating the order taking capacity of the deliverers by acquiring the current order weights of the deliverers, so that the order taking condition of the target order is predicted.
And step 130, calculating the current flash order ratio of the target order according to the quantity of at least one distributor and the respective current order weight so as to depict the current supply and demand relationship of the position of the target order.
And calculating the flash order ratio of the target order according to the current order weight of one or more distributors moving within the preset range. The current supply and demand relation of the target order position can be quantitatively depicted through the calculation of the flash order ratio.
According to the calculation method of the supply and demand relationship, the flash order ratio of the newly generated target order is calculated according to the obtained distributor moving within the preset range of the newly generated target order and the current order weight of the distributor, so that the current supply and demand relationship of the position of the target order is described, the unbalanced supply and demand relationship can be adjusted through the balance of the supply and demand relationship, the unbalanced supply and demand relationship is changed, good platform experience is brought to the distributor and a user, and the competitiveness of a platform is improved.
Further, calculating the current order weight of each at least one distributor moving within the preset range according to the position of the target order, wherein the method comprises the following steps:
determining at least one distributor moving within a preset range according to the position of the target order;
and counting the total number of orders which appear in a preset time period in a distribution range determined by taking the current position of each distributor as the center according to the pre-recorded real-time order information, and taking the total number as the current order weight of each distributor.
Taking the total number of orders which are within a distribution range determined by taking the current position of a distributor as the center and appear within a preset time period as the current order weight of the distributor, and more accurately evaluating the distribution capacity of the distributor under a specific condition by setting the distribution range and the preset time; the distribution range is set to exclude orders in a range that the distributor cannot receive orders, and the preset time is set to ensure that the distributor does not finish the average time of the orders after receiving the orders, so that the distribution capacity of the distributor can be more accurately evaluated.
Further, calculating a current flash rate for the target order based on the number of the at least one distributor and the respective current order weight, comprising:
and calculating the ratio of the number of at least one distributor to the average value of the current order weight of each distributor as the current flash order ratio of the target order.
And counting the number of the distributors, wherein the number of the distributors is more than or equal to 1, adding the current order weights of the distributors and taking an average value to obtain a ratio of the two values, namely the current flash order ratio of the target order.
The current flash order ratio of the target order is in direct proportion to the number of the distributors and in inverse proportion to the average value of the current order weights of the distributors, and the deviation of the current order weights of the single distributors can be reduced by calculating the average value of the order weights, so that the accuracy and the representativeness of data are improved, and the flash order ratio is obtained more accurately.
Fig. 2 is a schematic diagram of an order supply-demand relationship provided by an embodiment of the present invention, and as shown in fig. 2, a smooth ellipse represents an order, and as shown in the diagram, smooth ellipses 001 to 006 are orders generated within a preset time t, and their longitude and latitude positions; the sawtooth ellipse represents the dispenser, and their longitude and latitude positions; the circle represents an area with radius of r kilometers in a preset range; the five-pointed star represents the location of the newly generated target order, and the latitude and longitude point is required to calculate the obtained flash order ratio svo.
The platform can obtain the longitude and latitude of each courier through the data reported by the couriers in real time, such as the positions of the Jim and Tom in the map. Similarly, the platform may also obtain the longitude and latitude positions of the orders generated within the preset time t in real time, such as the positions of the orders o (1) to o (6) on the map.
Order weight: and s is the number of orders in a circle with a radius of r kilometers and taking each courier as a center, and represents the number of orders which can be served by the courier within the available radius. Namely:
s(Jim)＝o(1)+o(2)＝2
s(Tom)＝o(3)+o(4)+o(5)+o(6)＝4
the flash ratio svo is a ratio of the number of all couriers within r kilometers of the serviceable radius to the average value of the order weight within the radius. Namely:
according to the algorithm, the positions of the couriers on the full map and the positions of orders in unit time are collected, so that the order weights s of all the couriers can be calculated, and then the flash order ratio of any point on the map can be calculated in real time through a flash order ratio formula.
Example two
Fig. 3 is a block diagram of a supply-demand computing device according to a second embodiment of the present invention. As shown in fig. 3, the apparatus includes:
a location obtaining module 310, configured to obtain a location of a newly generated target order;
the order weight calculation module 320 is used for calculating the respective current order weight of at least one distributor moving in a preset range according to the position of the target order, wherein the order weight represents the order taking capability of the distributor;
and the flash order ratio calculating module 330 is configured to calculate a current flash order ratio of the target order according to the number of the at least one distributor and the respective current order weight, so as to characterize a current supply-demand relationship of the position of the target order.
Further, the order weight calculation module 320 includes:
the distributor determining submodule is used for determining at least one distributor moving in a preset range according to the position of the target order;
and the order weight determining submodule is used for counting the total number of orders which are determined within a distribution range by taking the current position of each distributor as the center and appear within a preset time period according to the pre-recorded real-time order information, and taking the total number as the current order weight of each distributor.
Further, the flash single ratio calculation module 330 is specifically configured to:
and calculating the ratio of the number of the at least one distributor to the average value of the current order weight of each distributor to serve as the current flash order ratio of the target order.
The supply and demand relationship calculation device provided by the embodiment of the invention and the supply and demand relationship calculation method provided by any embodiment of the invention belong to the same inventive concept, can execute the supply and demand relationship calculation method provided by any embodiment of the invention, and have corresponding functions and beneficial effects. For details of the technology that are not described in detail in this embodiment, reference may be made to a method for calculating a supply-demand relationship provided in any embodiment of the present invention.
EXAMPLE III
Fig. 4 is a schematic structural diagram of a server according to a third embodiment of the present invention. FIG. 4 illustrates a block diagram of an exemplary server 4100 suitable for use in implementing embodiments of the present invention. The server 4100 shown in fig. 4 is only an example, and should not bring any limitation to the function and the use range of the embodiment of the present invention.
As shown in fig. 4, the server 4100 is embodied in the form of a general purpose computing device. Components of server 4100 may include, but are not limited to: one or more processors or processing units 4110, a system memory 4120, and a bus 4130 that couples the various system components (including the system memory 4120 and the processing unit 4110).
The server 4100 typically includes a variety of computer system readable media. Such media can be any available media that is accessible by server 4100 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 4120 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)4121 and/or cache memory 4122. The server 4100 can further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, the storage system 4123 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 4, commonly referred to as a "hard disk drive"). Although not shown in FIG. 4, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In such cases, each drive may be connected to bus 4130 by one or more data media interfaces. Memory 4120 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 4125 having a set (at least one) of program modules 4124, such program modules 4124 including but not limited to an operating system, one or more application programs, other program modules, and program data, each or some combination of these examples possibly including an implementation of a network environment, may be stored, for example, in the memory 4120. The program modules 4124 generally perform the functions and/or methods of the described embodiments of the invention.
The server 4100 may also communicate with one or more external devices 4300 (e.g., keyboard, pointing device, display 4200, etc.), with one or more devices that enable a user to interact with the server 4100, and/or with any devices (e.g., network card, modem, etc.) that enable the server 4100 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 4140. Also, the server 4100 can communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the internet) via the network adapter 4150. As shown, the network adapter 4150 communicates with the other modules of the server 4100 via bus 4130. It should be appreciated that, although not shown in the figures, other hardware and/or software modules may be used in conjunction with the server 4100, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processing unit 4110 executes various functional applications and data processing, such as implementing a calculation method of supply-demand relationship or a price adjustment method of order price provided by an embodiment of the present invention, by executing a program stored in the system memory 4120.
EXAMPLE five
Embodiments of the present invention provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform a method for calculating a supply-demand relationship provided in any of the embodiments of the present invention.
Yet another storage medium containing computer-executable instructions for performing a method for adjusting order prices provided by any of the embodiments of the present invention when executed by a computer processor is provided.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. 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 (a non-exhaustive list) of the computer readable storage medium would include the following: 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 context of this document, 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.
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, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (4)
1. A method for calculating supply and demand relationships, comprising:
acquiring the position of a newly generated target order;
calculating the current order weight of at least one distributor moving in a preset range according to the position of the target order, wherein the order weight represents the order taking capability of the distributor;
the calculating the respective current order weight of at least one distributor moving in a preset range according to the position of the target order comprises the following steps:
determining at least one distributor moving within a preset range according to the position of the target order;
according to the pre-recorded real-time order information, counting the total number of orders which are in a distribution range determined by taking the current position of each distributor as the center and appear in a preset time period, and taking the total number as the current order weight of each distributor;
and calculating the ratio of the number of the at least one distributor to the average value of the current order weight of each distributor, and taking the ratio as the current flash order ratio of the target order to depict the current supply and demand relationship of the position of the target order.
2. An apparatus for calculating an on-demand relationship, comprising:
the position acquisition module is used for acquiring the position of a newly generated target order;
the order weight calculation module is used for calculating the respective current order weight of at least one distributor moving in a preset range according to the position of the target order, and the order weight represents the order taking capability of the distributor;
the flash order ratio calculation module is used for calculating the current flash order ratio of the target order according to the quantity of the at least one distributor and the respective current order weight so as to depict the current supply and demand relationship of the position of the target order;
the order weight calculation module comprises:
the distributor determining submodule is used for determining at least one distributor moving in a preset range according to the position of the target order;
the order weight determining submodule is used for counting the total number of orders which are determined within a distribution range by taking the current position of each distributor as the center and appear within a preset time period according to the pre-recorded real-time order information, and taking the total number as the current order weight of each distributor;
the flash single ratio calculation module is specifically configured to:
and calculating the ratio of the number of the at least one distributor to the average value of the current order weight of each distributor to serve as the current flash order ratio of the target order.
3. A server, characterized in that the server comprises:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement a method of calculating an supply-demand relationship as recited in claim 1.
4. A storage medium containing computer-executable instructions which, when executed by a computer processor, implement a supply-and-demand relationship calculation method as claimed in claim 1.
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| CN108596723B (en) * | 2018-04-24 | 2022-01-07 | 北京同城必应科技有限公司 | Order pushing method, system, server and storage medium |
| CN108734344B (en) * | 2018-05-07 | 2021-06-04 | 拉扎斯网络科技（上海）有限公司 | Order distribution prediction method, device, equipment and computer readable storage medium |
| CN109523152A (en) * | 2018-11-12 | 2019-03-26 | 达疆网络科技(上海)有限公司 | Order processing method, storage medium and device |
| CN109741142A (en) * | 2019-01-03 | 2019-05-10 | 上海拉扎斯信息科技有限公司 | Order allocation method, Order splitting device, readable storage medium storing program for executing and electronic equipment |
| CN111598519B (en) * | 2020-05-20 | 2021-01-22 | 南京福佑在线电子商务有限公司 | Transport capacity adjusting method and device |
| CN111860914A (en) * | 2020-07-31 | 2020-10-30 | 安徽梦馨信息技术有限公司 | Flower appointment order distribution method and system |
| CN113592524B (en) * | 2021-06-04 | 2024-03-22 | 国电南瑞科技股份有限公司 | Method and system for determining basic supply and demand of carbon market based on microcosmic unit parameters |
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| US9489684B2 (en) * | 2014-10-09 | 2016-11-08 | Wrap Media, LLC | Delivering wrapped packages in response to the selection of advertisements |
| CN111737390A (en) * | 2015-03-04 | 2020-10-02 | 北京嘀嘀无限科技发展有限公司 | Method and equipment for informing order supply and demand density |
| CN105095977B (en) * | 2015-09-09 | 2022-07-08 | 拉扎斯网络科技（上海）有限公司 | Order allocation method and device |
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