CN116245595A - Method, apparatus, electronic device and computer readable medium for transporting supply end article - Google Patents
Method, apparatus, electronic device and computer readable medium for transporting supply end article Download PDFInfo
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- CN116245595A CN116245595A CN202211567035.4A CN202211567035A CN116245595A CN 116245595 A CN116245595 A CN 116245595A CN 202211567035 A CN202211567035 A CN 202211567035A CN 116245595 A CN116245595 A CN 116245595A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0605—Supply or demand aggregation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
Embodiments of the present disclosure disclose a supply-side item transportation method, apparatus, electronic device, and computer-readable medium. One embodiment of the method comprises the following steps: acquiring a first preset classification information set and a supply end characteristic information set of a target supply end; classifying each supply end characteristic information in the supply end characteristic information set to generate a classified supply end characteristic information set; for each first preset classification information in the first preset classification information set, determining a first classification information score corresponding to the first preset classification information according to the classified supply end characteristic information set; determining a supply end score corresponding to the target supply end according to the determined scores of the first classification information; and controlling the associated vehicle to transport the supply end object produced by the target supply end according to the supply end score. This embodiment improves the matching of the selected supply-side produced items with the actual item production requirements.
Description
Technical Field
Embodiments of the present disclosure relate to the field of computer technology, and in particular, to a method, an apparatus, an electronic device, and a computer readable medium for transporting a supply-side article.
Background
In selecting the supply to produce the item, the supply may be selected by scoring the supply. Currently, in scoring the supply end, the following methods are generally adopted: and acquiring the characteristic information of the supply end, scoring the supply end by staff according to the characteristic information of the supply end, and selecting the production object of the supply end.
However, when the supply end is scored in the above manner, the following technical problems often exist when the supply end is selected to produce the article:
first, when the feature information of the supply end is more, the supply end is scored by the staff, which takes a longer time, and the error rate is higher, so that the matching degree between the selected articles produced by the supply end and the actual article production needs is lower.
Secondly, when scoring the supply ends according to the characteristic information of the supply ends, the level difference of the characteristic information of the same supply end of different supply ends is not considered, so that the matching degree of the product produced by the selected supply end and the actual product production requirement is lower.
Disclosure of Invention
The disclosure is in part intended to introduce concepts in a simplified form that are further described below in the detailed description. The disclosure is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
Some embodiments of the present disclosure propose a supply-side item transportation establishment method, apparatus, electronic device, and computer-readable medium to solve one or more of the technical problems mentioned in the background section above.
In a first aspect, some embodiments of the present disclosure provide a method of supply-side item transport, the method comprising: acquiring a first preset classified information set and a supply end characteristic information set of a target supply end, wherein the first preset classified information in the first preset classified information set corresponds to at least one second preset classified information, the second preset classified information in the at least one second preset classified information corresponds to at least one third preset classified information, and the supply end characteristic information in the supply end characteristic information set comprises one of the following: annual throughput at the supply end, number of production facilities at the supply end; classifying each supply end characteristic information in the supply end characteristic information set according to each third preset classification information corresponding to the first preset classification information set to generate a classified supply end characteristic information set, wherein the classified supply end characteristic information set in the classified supply end characteristic information set corresponds to the third preset classification information in each third preset classification information; for each first preset classification information in the first preset classification information set, determining a first classification information score corresponding to the first preset classification information according to the classified supply end characteristic information set; determining a supply end score corresponding to the target supply end according to the determined scores of the first classification information; and controlling the associated vehicle to transport the supply end articles produced by the target supply end according to the supply end scores.
In a second aspect, some embodiments of the present disclosure provide a supply end item transport device, the device comprising: an obtaining unit, configured to obtain a first preset classification information set and a supply end feature information set of a target supply end, where the first preset classification information in the first preset classification information set corresponds to at least one second preset classification information, and the second preset classification information in the at least one second preset classification information corresponds to at least one third preset classification information, and the supply end feature information in the supply end feature information set includes one of the following: annual throughput at the supply end, number of production facilities at the supply end; the classification processing unit is configured to perform classification processing on each supply end characteristic information in the supply end characteristic information set according to each third preset classification information corresponding to the first preset classification information set so as to generate a classified supply end characteristic information set, wherein a classified supply end characteristic information set in the classified supply end characteristic information set corresponds to the third preset classification information in each third preset classification information; a first determining unit configured to determine, for each of the first preset classification information in the first preset classification information set, a first classification information score corresponding to the first preset classification information according to the classified supply-end feature information set; a second determining unit configured to determine a supply end score corresponding to the target supply end based on the determined respective first classification information scores; and a control unit configured to control the associated vehicle to transport the supply item produced by the target supply according to the supply score.
In a third aspect, some embodiments of the present disclosure provide an electronic device comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors causes the one or more processors to implement the method described in any of the implementations of the first aspect above.
In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect above.
The above embodiments of the present disclosure have the following advantages: by the method for transporting the articles at the supply end, which is disclosed by the embodiment of the invention, the matching degree of the articles produced at the selected supply end and the actual article production requirements is improved. Specifically, the reason for the low matching of the selected supply end produced items to the actual item production needs is that: when the feature information of the supply end is more, the supply end is scored by the staff, so that the time is longer, the error rate is higher, and the matching degree of the selected product produced by the supply end and the actual product production requirement is lower. Based on this, the method for transporting the articles at the supply end according to some embodiments of the present disclosure first obtains a first preset classification information set and a supply end characteristic information set of the target supply end. Thus, data support is provided for determining a score for a target supply. And secondly, classifying the supply end characteristic information in the supply end characteristic information set according to the third preset classification information corresponding to the first preset classification information set so as to generate a classified supply end characteristic information set. Thus, different classified supply-end characteristic information sets can be scored. And then, for each first preset classification information in the first preset classification information set, determining a first classification information score corresponding to the first preset classification information according to the classified supply end characteristic information set. Therefore, the scores of the first preset classification information in the first preset classification information set can be determined through the scores of the different classified supply end characteristic information groups. And then, determining the supply end score corresponding to the target supply end according to the determined scores of the first classification information. Therefore, the supply end score of the supply end can be accurately determined. And because the supply end scores of the supply ends are accurately determined, the articles produced by the supply ends with high supply end scores can be transported, and the matching degree of the articles produced by the selected supply ends and the actual article production requirements is improved. And finally, controlling the associated vehicles to transport the supply end articles produced by the target supply end according to the supply end scores. Thereby, the transportation of the articles produced by the supply end with the high score on the supply end is completed. The matching degree of the selected articles produced by the supply end and the actual article production requirements is improved.
Drawings
The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale.
FIG. 1 is a flow chart of some embodiments of a method of supply-side item transport according to the present disclosure;
FIG. 2 is a schematic structural view of some embodiments of a supply end item transport device according to the present disclosure;
fig. 3 is a schematic structural diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.
It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings. Embodiments of the present disclosure and features of embodiments may be combined with each other without conflict.
It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 illustrates a flow 100 of some embodiments of a supply-side item transport method according to the present disclosure. The method for transporting the articles at the supply end comprises the following steps:
In some embodiments, the execution subject (e.g., server) of the method of transporting the supply item may obtain the first set of preset classification information and the set of supply characteristic information of the target supply from the associated database by means of a wired connection or a wireless connection. Wherein, the first preset classification information in the first preset classification information set corresponds to at least one second preset classification information. The second preset classification information in the at least one second preset classification information corresponds to at least one third preset classification information. The first preset classification information in the first preset classification information set may be a preset first-level index for scoring the supply end. For example, the first preset classification information may include, but is not limited to: supply side production information and supply side equipment quality information. The supply side production information may represent information of production materials of the supply side. The supply end equipment quality information may characterize the quality of equipment of the production items of the supply end. The first preset classification information may be divided into at least one second preset classification information, and the second preset classification information may be a pre-divided secondary index for scoring the supply end. For example, the first preset classification information "supply-side production information" described above may be divided into "supply-side material spot check information" and "supply-side material supply information". The second preset classification information may be divided into at least one third preset classification information, and the third preset classification information may be a three-level index that is divided in advance and used for scoring the supply end. For example, the second preset classification information "supply-side material sampling information" may be divided into "supply-side material sampling result" and "supply-side material sampling matching degree". The supply characteristic information in the supply characteristic information set may represent a supply characteristic of the target supply. The provisioning characteristics information in the provisioning characteristics information set may include, but is not limited to, one of the following: annual throughput at the supply end, and the number of production facilities at the supply end. The third preset classification information may correspond to at least one supply end feature information. For example, the third preset classification information "supply-side material sampling result" may correspond to the supply-side feature information "sampling qualified material quantity" and the supply-side feature information "sampling total material quantity".
In some embodiments, the executing body may perform classification processing on each of the supply-end feature information in the supply-end feature information set according to each of the third preset classification information corresponding to the first preset classification information set, so as to generate a classified supply-end feature information set. In practice, first, for each third preset classification information in the third preset classification information, the executing body may select, from the supply-end feature information set, each supply-end feature information corresponding to the third preset classification information as a classified supply-end feature information set. As an example, for the third preset classification information "supply-end material sampling result", the "sampling qualified material quantity" and the "sampling total material quantity" corresponding to the "supply-end material sampling result" may be used as the classified supply-end feature information set. Second, the executing body may determine each selected classified supply-end feature information group as a classified supply-end feature information group set.
In some embodiments, the executing body may determine, for each first preset classification information in the first preset classification information set, a first classification information score corresponding to the first preset classification information according to the classified supply-end feature information set.
In practice, the executing body may determine a first classification information score corresponding to the first preset classification information by:
the first step, for each piece of first preset classification information in the first preset classification information set, executing the following processing steps:
the first processing step, for each third preset classification information in the third preset classification information corresponding to the first preset classification information set, determines the classified supply end characteristic information group corresponding to the third preset classification information as a target supply end characteristic information group.
And a second processing step of determining, for each of the determined target supply-end feature information sets, a third classification information score corresponding to third preset classification information corresponding to the target supply-end feature information set.
In practice, the executing body may determine a third classification information score corresponding to third preset classification information of the target supply end feature information set through the following substeps:
a first sub-step of, for each of the determined respective target-supply-end characteristic information sets, performing the following scoring step:
and a first scoring step, determining a classification value of third preset classification information corresponding to the target supply end characteristic information group according to each target supply end characteristic information included in the target supply end characteristic information group. For example, for the third preset classification information "supply-end material sampling result", in response to the "sampling-end material qualification number" being 80 and the "sampling-end material total number" being 100, a ratio of "80" to "100" of 0.8 may be determined as the classification value of "supply-end material sampling result".
And a second grading step, namely determining a third classification information grading of the third preset classification information according to the classification value.
In practice, the executing body may determine a third classification information score of the third preset classification information by:
and a first determining step, obtaining a similar classification value set corresponding to the classification value. The class classification value in the class classification value set may be a classification value of the third preset classification information corresponding to a supply end different from the target supply end, which is stored in advance. For example, the classification value of the same class may be a previously stored classification value of "spot check quality qualification number" of a supply end different from the target supply end in response to the classification value representing "spot check quality qualification number" of the target supply end. For example, the class classification value may be 0.9.
And a second determining step, determining a feature minimum value, a feature average value and a feature standard deviation corresponding to the classification value according to the similar classification value set. In practice, first, the executing body may select a smallest class value from the class value set as a feature minimum value. Second, the execution body may determine an average value of the respective class-like classification values in the class-like classification value set as a feature average value. Thirdly, the executing body may input each class classification value in the class classification value set into a standard deviation formula to obtain a feature standard deviation.
And a third determining step of determining a third classification information score of the third preset classification information according to the classification value, the feature minimum value, the feature average value and the feature standard deviation.
In practice, the third classification information score of the above third preset classification information may be determined by the following formula:
where Y represents the third classification information score. x represents a classification value. min represents the feature minimum. μ represents a characteristic average value. σ represents the characteristic standard deviation. a represents a first constant and b represents a second constant. Here, the setting of the first constant and the second constant is not limited, and may be a constant obtained by experiment. For example, a may be 0.5.
The related content in the first determining step-the third determining step is taken as an invention point of the present disclosure, which solves the second technical problem mentioned in the background art, that is, when the supply ends are scored according to the characteristic information of the supply ends, the level difference of the characteristic information of the same supply end of different supply ends is not considered, so that the matching degree of the manufactured articles of the selected supply ends and the actual article manufacturing requirements is lower. Factors that result in a lower degree of matching of the selected supply end to the actual article production needs are often as follows: when scoring the supply ends according to the characteristic information of the supply ends, the level difference of the characteristic information of the same supply end of different supply ends is not considered, so that the matching degree of the product produced by the selected supply end and the actual product production requirement is lower. If the factors are solved, the effect of selecting the supply end with higher matching degree between the produced object and the actual object production requirement can be achieved. To achieve this effect, first, the present disclosure may acquire a homogeneous set of classification values corresponding to the classification values described above. Therefore, the classification value of the same third preset classification information of different supply ends can be obtained. And then, determining the minimum feature value, the average feature value and the standard deviation of the features corresponding to the classification values according to the similar classification value set. Therefore, the feature minimum value, the feature average value and the feature standard deviation can be determined through the obtained classification values of different supply ends. And finally, determining a third classification information score of the third preset classification information according to the classification value, the feature minimum value, the feature average value and the feature standard deviation. And inputting the minimum feature value, the average feature value and the standard deviation feature value into a scoring formula of the third classification information to obtain a third classification information score of the third preset classification information. And when the third preset classification information is scored, the level difference of the same supply end characteristic information of different supply ends is considered, so that the supply end with higher matching degree between the produced article and the actual article production requirement is selected.
And a third processing step of determining a second classification information score corresponding to each piece of second preset classification information in the second preset classification information corresponding to the first preset classification information according to the determined third classification information scores. In practice, the executing body may acquire the third preset weight set from the terminal device through a wired connection or a wireless connection. Wherein the third preset weight in the third preset weight set corresponds to the third preset classification information in the third preset classification information. Here, the setting of the third preset weight in the third preset weight set is not limited, and may be a weight obtained through experiments. Second, for each of the determined third classification information scores, the execution body may select a third preset weight corresponding to the third classification information score from the third preset weight set, and determine a product of the third classification information score and the selected third preset weight as a second classification information sub-score. Third, for each second preset classification information in the second preset classification information corresponding to the first preset classification information, the executing body may determine a sum of second classification information sub-scores corresponding to the third classification information scores corresponding to the second preset classification information as a second classification information score.
And a fourth processing step, determining a first classification information score corresponding to the first preset classification information according to the determined second classification information scores. In practice, the first executing body may acquire the second preset weight set from the terminal device. Wherein the second preset weight in the second preset weight set corresponds to the second preset classification information in the second preset classification information. Here, the setting of the second preset weight in the second preset weight set is not limited, and may be a weight obtained through experiments. Second, for each of the determined second classification information scores, selecting a second preset weight corresponding to the second classification information score from the second preset weight set, and determining a product of the second classification information score and the selected second preset weight as a first classification information sub-score. Third, the sum of the determined respective first classification information sub-scores is determined as the first classification information score.
And 104, determining the supply end score of the corresponding target supply end according to the determined first classification information scores.
In some embodiments, the executing entity may determine a supply end score corresponding to the target supply end according to the determined respective first classification information scores. In practice, first, the executing body may acquire a first preset weight set from the terminal device. Wherein, the first preset weight in the first preset weight set corresponds to the first preset classification information in the first preset classification information set. Here, the setting of the first preset weight in the first preset weight set is not limited, and may be a weight obtained through experiments. Second, for each of the determined first classification information scores, a first preset weight corresponding to the first classification information score is selected from the first preset weight set, and a product of the first classification information score and the selected first preset weight is determined as a supply terminal score. Third, the sum of the determined individual supply terminal scores is determined as the supply terminal score.
In some embodiments, the executing entity may control the associated vehicle to transport the supply item produced by the target supply according to the supply score. Wherein, the associated vehicle may be an intelligent vehicle connected with the execution body in a wired or wireless manner.
In practice, in response to the supply end score being equal to or greater than a preset score value, the executing body may control the vehicle to move to a target supply end item storage address, so as to transport the supply end item stored at the target supply end item storage address. The target supply end article storage address may be a pre-stored address for storing the supply end article produced by the target supply end. The preset score value may be a preset supply end score.
The above embodiments of the present disclosure have the following advantages: by the method for transporting the articles at the supply end, which is disclosed by the embodiment of the invention, the matching degree of the articles produced at the selected supply end and the actual article production requirements is improved. Specifically, the reason for the low matching of the selected supply end produced items to the actual item production needs is that: when the feature information of the supply end is more, the supply end is scored by the staff, so that the time is longer, the error rate is higher, and the matching degree of the selected product produced by the supply end and the actual product production requirement is lower. Based on this, the method for transporting the articles at the supply end according to some embodiments of the present disclosure first obtains a first preset classification information set and a supply end characteristic information set of the target supply end. Thus, data support is provided for determining a score for a target supply. And secondly, classifying the supply end characteristic information in the supply end characteristic information set according to the third preset classification information corresponding to the first preset classification information set so as to generate a classified supply end characteristic information set. Thus, different classified supply-end characteristic information sets can be scored. And then, for each first preset classification information in the first preset classification information set, determining a first classification information score corresponding to the first preset classification information according to the classified supply end characteristic information set. Therefore, the scores of the first preset classification information in the first preset classification information set can be determined through the scores of the different classified supply end characteristic information groups. And then, determining the supply end score corresponding to the target supply end according to the determined scores of the first classification information. Therefore, the supply end score of the supply end can be accurately determined. And because the supply end scores of the supply ends are accurately determined, the articles produced by the supply ends with high supply end scores can be transported, and the matching degree of the articles produced by the selected supply ends and the actual article production requirements is improved. And finally, controlling the associated vehicles to transport the supply end articles produced by the target supply end according to the supply end scores. Thereby, the transportation of the articles produced by the supply end with the high score on the supply end is completed. The matching degree of the selected articles produced by the supply end and the actual article production requirements is improved.
With further reference to fig. 2, as an implementation of the method illustrated in the above figures, the present disclosure provides embodiments of a supply-side article transport device, which correspond to those illustrated in fig. 1, and which are particularly applicable in a variety of electronic devices.
As shown in fig. 2, the supply-side item transport device 200 of some embodiments includes: an acquisition unit 201, a classification processing unit 202, a first determination unit 203, a second determination unit 204, and a control unit 205. The obtaining unit 201 is configured to obtain a first preset classification information set and a supply end feature information set of the target supply end, where the first preset classification information in the first preset classification information set corresponds to at least one second preset classification information, the second preset classification information in the at least one second preset classification information corresponds to at least one third preset classification information, and the supply end feature information in the supply end feature information set includes one of the following: annual throughput at the supply end, number of production facilities at the supply end; the classification processing unit 202 is configured to perform classification processing on each of the supply-end feature information in the supply-end feature information set according to each of the third preset classification information corresponding to the first preset classification information set, so as to generate a classified supply-end feature information set, where a classified supply-end feature information set in the classified supply-end feature information set corresponds to the third preset classification information in each of the third preset classification information; the first determining unit 203 is configured to determine, for each of the first preset classification information sets, a first classification information score corresponding to the first preset classification information according to the classified supply-end feature information set; the second determining unit 204 is configured to determine a supply end score corresponding to the target supply end according to the determined respective first classification information scores; the control unit 205 is configured to control the associated vehicle to transport the supply item produced by the target supply according to the supply score.
It will be appreciated that the elements described in the supply end item transport device 200 correspond to the various steps in the method described with reference to fig. 1. Thus, the operations, features, and advantages described above with respect to the method are equally applicable to the supply-side item transport device 200 and the units contained therein, and are not described herein.
Referring now to fig. 3, a schematic diagram of an electronic device 300 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic devices in some embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), car terminals (e.g., car navigation terminals), and the like, as well as stationary terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 3 is merely an example and should not impose any limitations on the functionality and scope of use of embodiments of the present disclosure.
As shown in fig. 3, the electronic device 300 may include a processing means 301 (e.g., a central processing unit, a graphics processor, etc.) that may perform various suitable actions and processes in accordance with a program stored in a Read Only Memory (ROM) 302 or a program loaded from a storage means 308 into a Random Access Memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the electronic apparatus 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.
In general, the following devices may be connected to the I/O interface 305: input devices 306 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 307 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; and communication means 309. The communication means 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. While fig. 3 shows an electronic device 300 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead. Each block shown in fig. 3 may represent one device or a plurality of devices as needed.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, some 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 shown in the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via communications device 309, or from storage device 308, or from ROM 302. The above-described functions defined in the methods of some embodiments of the present disclosure are performed when the computer program is executed by the processing means 301.
It should be noted that, the computer readable medium described in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any 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 some embodiments of the present disclosure, 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 some embodiments of the present disclosure, however, the computer-readable signal medium may comprise a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. 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: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
In some implementations, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (HyperText Transfer Protocol ), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the internet (e.g., the internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed networks.
The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring a first preset classified information set and a supply end characteristic information set of a target supply end, wherein the first preset classified information in the first preset classified information set corresponds to at least one second preset classified information, the second preset classified information in the at least one second preset classified information corresponds to at least one third preset classified information, and the supply end characteristic information in the supply end characteristic information set comprises one of the following: annual throughput at the supply end, and the number of production facilities at the supply end. And classifying the supply end characteristic information in the supply end characteristic information set according to the third preset classification information corresponding to the first preset classification information set to generate a classified supply end characteristic information set, wherein the classified supply end characteristic information set in the classified supply end characteristic information set corresponds to the third preset classification information in the third preset classification information. For each first preset classification information in the first preset classification information set, determining a first classification information score corresponding to the first preset classification information according to the classified supply end characteristic information set. And determining the supply end score corresponding to the target supply end according to the determined first classification information scores. And controlling the associated vehicle to transport the supply end articles produced by the target supply end according to the supply end scores.
Computer program code for carrying out operations for some embodiments of the present disclosure may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ 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 kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts 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 disclosure. 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 some embodiments of the present disclosure may be implemented by means of software, or may be implemented by means of hardware. The described units may also be provided in a processor, for example, described as: a processor includes an acquisition unit, a classification processing unit, a first determination unit, a second determination unit, and a control unit. The names of these units do not constitute a limitation on the unit itself in some cases, and for example, the acquisition unit may also be described as "a unit that acquires the first preset classification information set and the supply-side feature information set of the target supply side".
The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.
The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above technical features, but encompasses other technical features formed by any combination of the above technical features or their equivalents without departing from the spirit of the invention. Such as the above-described features, are mutually substituted with (but not limited to) the features having similar functions disclosed in the embodiments of the present disclosure.
Claims (7)
1. A method of supply-side item transport, comprising:
acquiring a first preset classified information set and a supply end characteristic information set of a target supply end, wherein the first preset classified information in the first preset classified information set corresponds to at least one second preset classified information, the second preset classified information in the at least one second preset classified information corresponds to at least one third preset classified information, and the supply end characteristic information in the supply end characteristic information set comprises one of the following: annual throughput at the supply end, number of production facilities at the supply end;
classifying each supply end characteristic information in the supply end characteristic information sets according to each third preset classification information corresponding to the first preset classification information sets to generate classified supply end characteristic information set, wherein the classified supply end characteristic information set in the classified supply end characteristic information set corresponds to the third preset classification information in each third preset classification information;
for each piece of first preset classification information in the first preset classification information set, determining a first classification information score corresponding to the first preset classification information according to the classified supply end characteristic information set;
Determining a supply end score corresponding to the target supply end according to the determined first classification information scores;
and controlling the associated vehicles to transport the supply end articles produced by the target supply end according to the supply end scores.
2. The method of claim 1, wherein the controlling the associated vehicle to transport the supply item produced by the target supply according to the supply score comprises:
and controlling the vehicle to move to a target supply end article storage address in response to the supply end score being greater than or equal to a preset score value so as to transport the supply end article stored at the target supply end article storage address, wherein the target supply end article storage address is a pre-stored address for storing the supply end article produced by the target supply end.
3. The method of claim 1, wherein the determining, for each first preset classification information in the first preset classification information set, a first classification information score corresponding to the first preset classification information according to the classified supply-end feature information set comprises:
for each first preset classification information in the first preset classification information set, performing the following processing steps:
For each third preset classification information in the third preset classification information corresponding to the first preset classification information set, determining the classified supply end characteristic information group corresponding to the third preset classification information as a target supply end characteristic information group;
for each of the determined target supply end feature information sets, determining a third classification information score corresponding to third preset classification information corresponding to the target supply end feature information set;
determining a second classification information score corresponding to each piece of second preset classification information in the second preset classification information corresponding to the first preset classification information according to the determined third classification information scores;
and determining a first classification information score corresponding to the first preset classification information according to the determined second classification information scores.
4. A method according to claim 3, wherein said determining, for each of the determined respective target supply characteristic information sets, a third classification information score corresponding to third preset classification information of the target supply characteristic information set comprises:
For each of the determined respective target provider characteristic information sets, performing the scoring step of:
determining a classification value of third preset classification information corresponding to the target supply end characteristic information group according to each target supply end characteristic information included in the target supply end characteristic information group;
and determining a third classification information score of the third preset classification information according to the classification value.
5. A supply end article transport device comprising:
an obtaining unit, configured to obtain a first preset classification information set and a supply end feature information set of a target supply end, where the first preset classification information in the first preset classification information set corresponds to at least one second preset classification information, and the second preset classification information in the at least one second preset classification information corresponds to at least one third preset classification information, and the supply end feature information in the supply end feature information set includes one of the following: annual throughput at the supply end, number of production facilities at the supply end;
the classification processing unit is configured to perform classification processing on each supply end characteristic information in the supply end characteristic information sets according to each third preset classification information corresponding to the first preset classification information set so as to generate a classified supply end characteristic information set, wherein a classified supply end characteristic information set in the classified supply end characteristic information set corresponds to the third preset classification information in each third preset classification information;
A first determining unit configured to determine, for each first preset classification information in the first preset classification information set, a first classification information score corresponding to the first preset classification information according to the classified supply-end feature information set;
a second determining unit configured to determine a supply end score corresponding to the target supply end according to the determined respective first classification information scores;
a control unit configured to control the associated vehicle to transport the supply item produced by the target supply according to the supply score.
6. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon;
when executed by the one or more processors, causes the one or more processors to implement the method of any of claims 1 to 4.
7. A computer readable medium having stored thereon a computer program, wherein the program when executed by a processor implements the method of any of claims 1 to 4.
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