Target collection task matching method and device, electronic device, and storage medium

Abstract

The present disclosure provides a target collection task matching method and device, electronic device, and storage medium, and relates to the field of data processing technology. The target collection task matching method includes: obtaining a collection task; determining the logistics transportation label data corresponding to the characteristic information by extracting the characteristic information of the outbound order information, and screening the initial collection task that matches the logistics transportation label data from the collection task; matching the target collection task corresponding to the target outbound order information and the target to-be-collected order information from the initial collection task; determining the current location information of the to-be-collected items corresponding to the target collection task, and sending the current location information to the collection terminal device, so as to collect the to-be-collected items according to the current location information displayed by the collection terminal device. The technical solution of the embodiment of the present disclosure can avoid manual verification of order information, improve the efficiency of generating target collection tasks, and improve the collection accuracy of the to-be-collected items.

Description

Background Art

[0002] With the rapid development of the Internet, online shopping has become more and more popular, and the efficient collection of items has become an important factor affecting users' online shopping experience.

[0003] At present, there are two main modes for collecting related items. Either the courier compares the merchant order information noted in the logistics company's logistics waybill with the outbound order information in the outbound waybill on the package. If the comparison is successful, the logistics waybill is pasted on the package and the logistics waybill is scanned to collect the items. Or the unique identification code of the item is manually scanned to determine the product order information, and the product order information is matched with the logistics order information in the collection task one by one. If the match is successful, the item is collected.

[0004] However, the collection of target items requires manual verification of outbound order information and collection order information, or manual scanning of unique identification codes, which results in low efficiency and accuracy in the collection of items.

[0005] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present disclosure, and therefore may include information that does not constitute the prior art known to ordinary technicians in the field. Summary of the invention

[0006] The purpose of the embodiments of the present disclosure is to provide a target collection task matching method, a target collection task matching device, an electronic device and a computer-readable storage medium, thereby overcoming the problems of low efficiency in generating target collection tasks for items and low collection accuracy of items to be collected, at least to a certain extent.

[0007] Other features and advantages of the present disclosure will become apparent from the following detailed description, or may be learned in part by the practice of the present disclosure.

[0008] According to a first aspect of an embodiment of the present disclosure, a target collection task matching method is provided, comprising: obtaining a collection task; the collection task comprises outbound order information and to-be-collected order information; by extracting characteristic information of the outbound order information, determining logistics transport label data corresponding to the characteristic information, and screening out an initial collection task matching the logistics transport label data from the collection task; when a query request for target outbound order information is detected, screening out target to-be-collected order information corresponding to the target outbound order information from the to-be-collected order information; matching out a target collection task corresponding to the target outbound order information and the target to-be-collected order information from the initial collection task; when a positioning request for the target collection task is detected, determining the current location information of the to-be-collected item corresponding to the target collection task, and sending the current positioning information to a collection terminal device, so as to collect the to-be-collected item according to the current location information displayed by the collection terminal device.

[0009] In some example embodiments of the present disclosure, based on the aforementioned solution, the collection task is established by reading the associated data of the outbound order information and the to-be-collected order information reported by the logistics management center and based on the associated data.

[0010] In some example embodiments of the present disclosure, based on the aforementioned scheme, the method of extracting the characteristic information of the outbound order information to determine the logistics transportation label data corresponding to the characteristic information includes: extracting the characteristic information of the outbound order information, and determining the initiator information corresponding to the outbound order information based on the characteristic information; calling the historical collection task corresponding to the initiator information, and determining the logistics service provider information corresponding to the historical collection order information based on the historical collection task; obtaining the current time point data and the collection time point data in the historical collection order information, calculating the time interval data between the current time point data and the collection time point data, and determining the minimum value in the time interval data, and the target historical collection order information corresponding to the minimum value; determining the target logistics service provider information corresponding to the target historical collection order information from the logistics service provider information; and generating the logistics transportation label data corresponding to the characteristic information based on the target logistics service provider information.

[0011] In some example embodiments of the present disclosure, based on the aforementioned scheme, the filtering out the initial collection task that matches the logistics transportation label data from the collection tasks includes: determining the attribute identification data of the to-be-collected order information corresponding to the logistics transportation label data; and filtering out the initial collection task that matches the attribute identification data from the collection tasks.

[0012] In some example embodiments of the present disclosure, based on the aforementioned scheme, when a query request for target outbound order information is detected, target to-be-collected order information corresponding to the target outbound order information is screened out from the to-be-collected order information, including: when a scanning operation of the unique serial code of the to-be-collected item is detected through the collection terminal device, the unique serial code is identified, and the target outbound order information corresponding to the unique serial code is obtained; and the target to-be-collected order information corresponding to the target outbound order information is determined based on the associated data.

[0013] In some example embodiments of the present disclosure, based on the aforementioned scheme, the target collection task corresponding to the target outbound order information and the target to-be-collected order information is matched from the initial collection task, including: when the radio frequency tag data of the to-be-collected item collected by the collection terminal device is detected, determining the collection area range based on the video tag data; reading the target outbound order information and the target to-be-collected order information corresponding to the collection area range; and matching the target collection task corresponding to the target outbound order information and the target to-be-collected order information from the initial collection task.

[0014] In some example embodiments of the present disclosure, based on the aforementioned scheme, when a positioning request for the target collection task is detected, the current position information of the items to be collected corresponding to the target collection task is determined, and the current position information is sent to the collection terminal device, so that the items to be collected are collected according to the current position information displayed by the collection terminal device, including: obtaining the initial address information of the positioning device of the items to be collected corresponding to the target collection task, and the target address information of the target to-be-collected order information corresponding to the items to be collected; generating a logistics transportation map corresponding to the target collection task based on the initial address information and the target address information, and tracking the items to be collected in real time based on the logistics transportation map; when a positioning request for the target collection task is detected, the current position information of the items to be collected is determined, and the current position information is sent to the collection terminal device, so that the items to be collected are collected according to the current position information displayed by the collection terminal device.

[0015] According to a second aspect of an embodiment of the present disclosure, a target collection task matching device is provided, comprising: a task acceptance module for acquiring a collection task; the collection task comprises an outbound order information of an item and an order information to be collected; an initial collection task screening module for determining the logistics transport label data corresponding to the characteristic information by extracting the characteristic information of the outbound order information, and screening the collection task to obtain an initial collection task matching the logistics transport label data; a target to-be-collected order information determination module for, when a query request for the target outbound order information is detected, filtering the initial collection task from the collection task to obtain the logistics transport label data; and a target to-be-collected order information determination module for determining the initial collection task from the collection task to obtain the logistics transport label data. A target to-be-collected order information corresponding to the target outbound order information is screened out from the to-be-collected order information; a target collection task matching module is used to match the target collection task corresponding to the target outbound order information and the target to-be-collected order information from the initial collection task; a to-be-collected item positioning module is used to determine the current location information of the to-be-collected item when a positioning request for the target collection task is detected, and send the current location information to the collection terminal device, so as to collect the to-be-collected item according to the current location information displayed by the collection terminal device.

[0016] In some example embodiments of the present disclosure, based on the aforementioned scheme, the target collection task matching device also includes a collection task establishment module, which is used to read the associated data of the outbound order information and the to-be-collected order information reported by the logistics management center, and establish the collection task based on the associated data.

[0017] In some example embodiments of the present disclosure, based on the aforementioned scheme, the initial collection task screening module also includes a logistics label data determination unit, which is used to extract characteristic information of the outbound order information, and determine the initiator information corresponding to the outbound order information based on the characteristic information; call the historical collection task corresponding to the initiator information, and determine the logistics service provider information corresponding to the historical collection order information based on the historical collection order information in the historical collection task; obtain the current time point data and the collection time point data in the historical collection order information, calculate the time interval data between the current time point data and the collection time point data, and determine the minimum value in the time interval data, and the target historical collection order information corresponding to the minimum value; determine the target logistics service provider information corresponding to the target historical collection order information from the logistics service provider information; generate logistics transportation label data corresponding to the characteristic information based on the target logistics service provider information.

[0018] In some example embodiments of the present disclosure, based on the aforementioned scheme, the initial collection task screening module also includes an initial collection task screening unit, and the initial collection task screening unit is used to determine the attribute identification data of the to-be-collected order information corresponding to the logistics transportation label data; and to filter out the initial collection tasks that match the attribute identification data from the collection tasks.

[0019] In some example embodiments of the present disclosure, based on the aforementioned scheme, the module for determining target order information to be collected further includes a target order information to be collected determination unit, and the target order information to be collected determination unit is used to, when detecting a scanning operation of the unique serial code of the item to be collected by the collection terminal device, identify the unique serial code and obtain the target outbound order information corresponding to the unique serial code; and determine the target outbound order information corresponding to the target outbound order information based on the associated data.

[0020] In some example embodiments of the present disclosure, based on the aforementioned scheme, the target collection task matching module also includes a target collection task matching unit, and the target collection task matching unit is used to determine the collection area range based on the video tag data when the radio frequency tag data of the to-be-collected item collected by the collection terminal device is detected; read the target outbound order information and the target to-be-collected order information corresponding to the collection area range; and match the target collection task corresponding to the target outbound order information and the target to-be-collected order information from the initial collection task.

[0021] In some example embodiments of the present disclosure, based on the aforementioned scheme, the to-be-collected item positioning module further includes a to-be-collected item positioning unit, the to-be-collected item positioning unit being used to obtain the initial address information of the positioning device of the to-be-collected item corresponding to the target collection task, and the target address information of the target to-be-collected order information corresponding to the to-be-collected item; based on the initial address information and the target address information, a logistics transportation map corresponding to the target collection task is generated, and the to-be-collected item is tracked in real time based on the logistics transportation map; when a positioning request for the target collection task is detected, the current location information of the to-be-collected item is determined, and the current location information is sent to the collection terminal device, so that the to-be-collected item is collected according to the current location information displayed by the collection terminal device.

[0022] According to a third aspect of an embodiment of the present disclosure, there is provided an electronic device, comprising: a processor; and a memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the target collection task matching method described in any one of the above is implemented.

[0023] According to a fourth aspect of an embodiment of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the target collection task matching method according to any one of the above items is implemented.

[0024] The technical solution provided by the embodiments of the present disclosure may have the following beneficial effects:

[0025] The target collection task matching method in the example embodiment of the present disclosure obtains a collection task; the collection task includes outbound order information and to-be-collected order information; by extracting feature information of the outbound order information, the logistics transport label data corresponding to the feature information is determined, and an initial collection task matching the logistics transport label data is screened from the collection task; when a query request for the target outbound order information is detected, the target to-be-collected order information corresponding to the target outbound order information is screened from the to-be-collected order information; the target collection task corresponding to the target outbound order information and the target to-be-collected order information is matched from the initial collection task; when a positioning request for the target collection task is detected, the current location information corresponding to the to-be-collected item is determined, and the current location information is sent to the collection terminal device, so that the to-be-collected item is collected according to the current location information displayed by the collection terminal device. On the one hand, by extracting the characteristic information of the outbound order information, and determining the logistics transportation label data corresponding to the outbound order information based on the characteristic information, and matching the initial collection task corresponding to the logistics transportation label data from the collection task, the collection task can be classified according to the logistics label data, and the preliminary screening of the collection task can be achieved, thereby reducing the screening range of the target collection task and improving the generation efficiency of the target collection task; on the other hand, the target collection task corresponding to the target outbound order information and the target to-be-collected order information can be matched from the initial collection task, and the to-be-collected items corresponding to the target collection task can be located, avoiding Manually checking the outbound order information and the order information to be picked up improves the accuracy of picking up the items to be picked up; on the other hand, when a query request for the target outbound order information is detected, multiple target to-be-picked order information corresponding to the target outbound order information can be screened out from the to-be-picked order information, and multiple target collection tasks corresponding to the target outbound order information and the target to-be-picked order information can be synchronously matched from the initial collection tasks, thereby avoiding the need to match the multiple target to-be-picked order information corresponding to the target outbound order information one by one after splitting the outbound order information, thereby improving the convenience of obtaining the target collection tasks and also improving the management efficiency of the collection tasks.

[0026] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The drawings herein are incorporated into the specification and constitute a part of the specification, showing embodiments consistent with the present disclosure, and together with the specification, are used to explain the principles of the present disclosure. Obviously, the drawings described below are only some embodiments of the present disclosure, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0028] Figure 1 A schematic diagram schematically shows a target collection task matching method process according to some embodiments of the present disclosure;

[0029] Figure 2 A schematic diagram schematically illustrates a process of a method for determining logistics transport label data according to some embodiments of the present disclosure;

[0030] Figure 3 A schematic diagram schematically shows the process of a method for determining an initial collection task according to some embodiments of the present disclosure;

[0031] Figure 4 A schematic diagram schematically shows a target acquisition task matching method process according to some embodiments of the present disclosure;

[0032] Figure 5 A schematic diagram schematically shows the process of a method for locating items to be collected according to some embodiments of the present disclosure;

[0033] Figure 6 A schematic diagram of a target collection task matching device according to some embodiments of the present disclosure is schematically shown;

[0034] Figure 7 A schematic diagram schematically shows a structure of a computer system of an electronic device according to some embodiments of the present disclosure;

[0035] Figure 8 A schematic diagram of a computer-readable storage medium according to some embodiments of the present disclosure is schematically shown.

[0036] In the drawings, the same or corresponding reference numerals represent the same or corresponding parts. DETAILED DESCRIPTION

[0037] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be more comprehensive and complete and will fully convey the concept of the example embodiments to those skilled in the art.

[0038] In addition, the described features, structures or characteristics may be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced without one or more of the specific details, or other methods, components, devices, steps, etc. may be adopted. In other cases, known methods, devices, implementations or operations are not shown or described in detail to avoid blurring the various aspects of the present disclosure.

[0039] Furthermore, the drawings are only schematic illustrations and are not necessarily drawn to scale. The block diagrams shown in the drawings are only functional entities and do not necessarily correspond to physically separate entities. That is, these functional entities may be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0040] In this exemplary embodiment, a target acquisition task matching method is first provided, and the target acquisition task matching method can be applied to a server. Figure 1 The following is a schematic diagram of a target collection task matching method process according to some embodiments of the present disclosure. Figure 1 As shown, the target collection task matching method may include the following steps:

[0041] In step S110, a collection task is obtained; the collection task includes outbound order information and to-be-collected order information;

[0042] In step S120, by extracting characteristic information of the outbound order information, the logistics transport label data corresponding to the characteristic information is determined, and the initial collection task matching the logistics transport label data is screened from the collection tasks;

[0043] In step S130, when a query request for target outbound order information is detected, target to-be-collected order information corresponding to the target outbound order information is obtained from the to-be-collected order information;

[0044] In step S140, a target collection task corresponding to the target outbound order information and the target to-be-collected order information is obtained by matching from the initial collection task;

[0045] In step S150, when a positioning request for the target collection task is detected, the current location information corresponding to the item to be collected corresponding to the target collection task is determined, and the current location information is sent to the collection terminal device, so that the item to be collected is collected according to the current location information displayed by the collection terminal device.

[0046] According to the target collection task matching method in this example embodiment, on the one hand, by extracting the feature information of the outbound order information, and determining the logistics transportation label data corresponding to the outbound order information based on the feature information, and matching the initial collection task corresponding to the logistics transportation label data from the collection task, the collection task can be classified according to the logistics label data to achieve preliminary screening of the collection tasks, thereby reducing the screening scope of the target collection task and improving the generation efficiency of the target collection task; on the other hand, the target collection task corresponding to the target outbound order information and the target to-be-collected order information can be matched from the initial collection task, and the to-be-collected order corresponding to the target collection task can be matched. On the other hand, when detecting the query request of the target outbound order information, multiple target to-be-collected order information corresponding to the target outbound order information can be screened out from the to-be-collected order information, and multiple target collection tasks corresponding to the target outbound order information and the target to-be-collected order information can be synchronously matched from the initial collection task, thus avoiding the need to match the multiple target to-be-collected order information corresponding to the target outbound order information one by one after splitting the outbound order information, thereby improving the convenience of obtaining the target collection task and also improving the management efficiency of the collection task.

[0047] Next, the target collection task matching method in this example embodiment will be further described.

[0048] In step S110, a collection task is obtained; the collection task includes outbound order information and to-be-collected order information.

[0049] In an example embodiment of the present disclosure, a collection task may refer to a task established through a logistics transportation center to collect packages corresponding to merchant order information. For example, the collection task may be a task to collect packages corresponding to the delivery and collection addresses in the merchant order information. Of course, the collection task may also be a task to send the package to the logistics transportation center after the package is successfully collected, so that the logistics transportation center establishes delivery order information based on the collection order information. This example embodiment does not specifically limit this.

[0050] The outbound order information may refer to the order information for the outbound shipment of items. For example, the outbound order information may be order information including the shipping address, shipping address, shipping user name, receiving user name, item order number, etc. of the items. The outbound order information may also be order information corresponding to the SN (Serial Number) code of the item. Of course, the outbound order information may also be order information including other data of the item, and this embodiment does not specifically limit this.

[0051] The order information to be collected may refer to order information for collecting parcels corresponding to the outbound order information. For example, the order information to be collected may be order information including the parcel collection address, the commodity order information of the parcel, the name of the shipping user, the contact information of the shipping user, and the collection order number. It may also be order information including time data for pre-collection of the parcel. Of course, the order information to be collected may also include other order information for collecting parcels corresponding to the outbound order information, and this embodiment does not specifically limit this.

[0052] Optionally, when receiving a request to collect items, the logistics and transportation center can establish a collection task for the items corresponding to the outbound order information according to the outbound order information sent by the merchant, and generate pending collection order information corresponding to the outbound order information. The collection operator queries the collection address of the pending collection items corresponding to the pending collection order information according to the collection task, and after arriving at the collection address, takes out the pending collection items, so as to transport the pending collection items to the logistics and transportation center, and assigns a delivery task to the pending collection items.

[0053] In step S120, by extracting characteristic information of the outbound order information, the logistics transportation label data corresponding to the characteristic information is determined, and the initial collection task matching the logistics transportation label data is screened from the collection tasks.

[0054] In an example embodiment of the present disclosure, feature information may refer to information of key data used to determine the initiator of the request to collect items based on the outbound order information. For example, the feature information may be information extracted from the outbound order information through big data analysis technology to determine the name of the marketing store of the initiator of the request to collect items. The feature information may also be information extracted from the outbound order information through big data analysis technology to determine the geographic location of the initiator of the request to collect items. Of course, the feature information may also be information of other key data extracted from the outbound order information through big data analysis technology to determine the initiator of the request to collect items. This example embodiment does not specifically limit this.

[0055] The logistics and transportation label data may refer to the label data corresponding to the logistics and transportation information of the initiator of the request to collect the items. For example, the logistics and transportation label data may be the label data corresponding to the name of the commonly used logistics and transportation company of the initiator of the request to collect the items, or it may be the label data corresponding to the regional location information of the commonly used logistics and transportation company of the initiator of the request to collect the items. Of course, the logistics and transportation label data may also be the label data corresponding to other logistics and transportation information of the initiator of the request to collect the items, such as the order number rules. This embodiment does not specifically limit this.

[0056] The initial collection task may be a task screened from the collection tasks based on the logistics and transportation label data. For example, the initial collection task may be a task obtained by classifying and arranging the collection tasks according to the name of the logistics and transportation company in the logistics and transportation label data. The initial collection task may also be a task obtained by classifying and arranging the collection tasks according to the regional location information of the logistics and transportation company in the logistics and transportation label data. Of course, the initial collection task may also be a task obtained by classifying and arranging the collection tasks according to other information in the logistics and transportation label data. This embodiment does not make any special limitation to this.

[0057] For example, feature information of outbound order information can be extracted through big data analysis, and the logistics and transportation label data corresponding to the outbound order information can be determined based on the feature information, and the collection tasks can be classified and sorted based on the logistics and transportation label data to obtain the initial collection tasks corresponding to the logistics and transportation label data. For example, the name of the logistics and transportation company in the logistics and transportation label data of the outbound order information with the outbound order code of S100200 is A, and the name of the logistics and transportation company in the logistics and transportation label data of the outbound order information with the outbound order code of S100310 is also A. The outbound order information with the outbound order code of S100200 and the outbound order information with the outbound order code of S100310 can be sorted to obtain the initial collection task corresponding to the logistics and transportation company name A.

[0058] Optionally, characteristic information of the outbound order information can be extracted through big data analysis technology, or through machine learning, and then, the logistics transportation label data corresponding to the outbound order information can be determined based on the characteristic information, and the initial collection task corresponding to the logistics transportation label data can be obtained from the collection tasks to achieve preliminary screening of the collection tasks.

[0059] In step S130, when a query request for target outbound order information is detected, target to-be-collected order information corresponding to the target outbound order information is obtained by screening from the to-be-collected order information.

[0060] In an example embodiment of the present disclosure, the target outbound order information may refer to the outbound order information input by the collection operator in the collection terminal device. For example, the target outbound order information may be the item order number in the outbound order information input by the collection operator in the collection terminal device, or it may be the outbound order barcode in the outbound order information scanned by the collection operator through the collection terminal device. Of course, the target outbound order information may also be other key information in the target outbound order information input by the collection operator in the collection terminal device, such as the SN code, and this example embodiment does not specifically limit this.

[0061] The target order information to be collected may refer to the order information to be collected corresponding to the target outbound order information. For example, the target order information to be collected may be the order information to be collected that is called according to the association data between the target outbound order information and the target order information to be collected after the target outbound order information is obtained. Of course, the target order information to be collected may also be the order information to be collected that is corresponding to the target outbound order information and is obtained by other means. This embodiment does not specifically limit this.

[0062] By establishing an association relationship between the outbound order information and the order information to be collected, that is, determining the association data between the outbound order information and the order information to be collected, the order information to be collected corresponding to the outbound order information or the order information to be collected can be obtained based on the association data, as well as the outbound order information or the order information to be collected, thereby improving the matching efficiency between the outbound order information and the order information to be collected.

[0063] In step S140, a target collection task corresponding to the target outbound order information and the target to-be-collected order information is obtained by matching from the initial collection task.

[0064] In an example embodiment of the present disclosure, the target collection task may be a collection task that matches the target outbound order information and the target to-be-collected order information. For example, the target collection task may be a collection task corresponding to a target outbound order information and a target to-be-collected order information that matches the target outbound order information. It may also be multiple collection tasks corresponding to a target outbound order information and multiple target to-be-collected order information that matches the target outbound order information. Of course, the target collection task may also be other collection tasks that match the target outbound order information and the target to-be-collected order information, and this example embodiment does not specifically limit this.

[0065] Preferably, by matching the target collection task according to the target outbound order information and the target to-be-collected order information in the initial collection task, it is avoided that the collection operator matches the target collection task one by one according to the target outbound order information and the target to-be-collected order information in all collection tasks, thereby improving the generation rate of the target collection task and also improving the matching accuracy of the target collection task.

[0066] In step S150, when a positioning request for the target collection task is detected, the current location information corresponding to the item to be collected corresponding to the target collection task is determined, and the current location information is sent to the collection terminal device, so that the item to be collected is collected according to the current location information displayed by the collection terminal device.

[0067] In an example embodiment of the present disclosure, a positioning device such as a magnetic positioning device can be added to the items to be collected before they are shipped out of the warehouse to facilitate real-time tracking of the items to be collected. Alternatively, after the items to be collected are shipped out of the warehouse, the items to be collected can be sent to a collection area, and a collection operator can add a positioning device to the items to be collected. This example embodiment does not specifically limit this.

[0068] When a positioning request for a target collection task is detected, the initial address information of the items to be collected can be obtained, and a logistics transportation map of the items to be collected can be generated based on the delivery address information in the outbound order information. Since the items to be collected can be cross-national, cross-provincial, and cross-city, and need to be transferred multiple times, the current location information of the items to be collected can be located in real time through the logistics transportation map of the items to be collected, and then the items to be collected can be collected according to the current location information, thereby improving the collection efficiency of the items to be collected.

[0069] In an exemplary embodiment of the present disclosure, the associated data of the outbound order information and the to-be-collected order information reported by the logistics management center may be read, and the collection task may be established based on the associated data.

[0070] Among them, the logistics management center can refer to a participant that receives a collection request corresponding to the outbound order information. For example, the logistics management center can be an offline participant that receives collection requests, such as a logistics company, or it can be an online participant that receives collection requests and establishes collection tasks, such as a virtual logistics operator. This embodiment does not specifically limit this.

[0071] The associated data may refer to the mapping data between the outbound order information and the to-be-collected order information. For example, the associated data may be the mapping data between the item order number of the outbound order information and the to-be-collected order number of the to-be-collected order information. It may also be the mapping data between the sequence data of the item order number of the outbound order information and the sequence data of the to-be-collected order number of the to-be-collected order information. Of course, the associated data may also be the mapping data between other data in the outbound order information and other data in the to-be-collected order information. This embodiment does not specifically limit this.

[0072] The logistics management center can establish an association relationship between the outbound order information and the order information to be collected, that is, determine the association data between the outbound order information and the order information to be collected, so as to establish a collection task for the collection request corresponding to the outbound order information based on the association data. For example, after receiving the outbound order information, the logistics management center can establish the order information to be collected corresponding to the outbound order information, as well as the association data between the outbound order information and the order information to be collected, and distribute the order information to be collected to the sub-logistics transportation company, so that the sub-logistics transportation company can collect the items to be collected corresponding to the order information to be collected. By establishing the association data between the outbound order information and the order information to be collected, the two-way binding of the outbound order information and the order information to be collected can be achieved based on the association data, thereby facilitating the acquisition of the order information to be collected based on the outbound order information and the association data, thereby improving the matching efficiency between the outbound order information and the order information to be collected.

[0073] Figure 2 The following is a schematic diagram of a method for determining logistics transport label data according to some embodiments of the present disclosure. Figure 2 As shown, the method for determining logistics transport label data may include the following steps:

[0074] In step S210, feature information of the outbound order information is extracted, and initiator information corresponding to the outbound order information is determined based on the feature information;

[0075] In step S220, the historical collection task corresponding to the initiator information is called, and based on the historical collection order information in the historical collection task, the logistics service provider information corresponding to the historical collection order information is determined;

[0076] In step S230, the current time point data and the collection time point data in the historical collection order information are obtained, the time interval data between the current time point data and the collection time point data is calculated, and the minimum value in the time interval data and the target historical collection order information corresponding to the minimum value are determined;

[0077] In step S240, the target logistics service provider information corresponding to the target historical collection order information is determined from the logistics service provider information;

[0078] In step S250, logistics transport label data corresponding to the characteristic information is generated based on the target logistics service provider information.

[0079] The initiator information may refer to the information of the party that initiates the collection request. For example, the initiator information may be the store name information of the party that initiates the collection request, or the sales item category information of the party that initiates the collection request, or the geographic location information of the party that initiates the collection request. Of course, the initiator information may also be other information of the party that initiates the collection request, and this embodiment does not specifically limit this.

[0080] The logistics service provider information may refer to the information of the party providing the collection service. For example, the logistics service provider information may be the name information of the party providing the collection service, or the geographical location information of the party providing the collection service, or the collection service evaluation information of the party providing the collection service. Of course, the logistics service provider information may also be other information of the party providing the logistics service, which is not specifically limited in this embodiment. The target historical collection order information may refer to the historical collection order information most recent to the party initiating the collection request.

[0081] The target logistics service provider information may refer to key logistics service provider information screened from the logistics service provider information. For example, the target logistics service provider information may be key logistics service provider information that provides logistics services more frequently screened from the logistics service provider information according to the time sequence of receiving the collection requests, or may be key logistics service provider information that provides logistics services most recently screened from the logistics service provider information according to the time sequence of receiving the collection requests. Of course, the target logistics service provider information may also be other key logistics provider information screened from the logistics service provider information according to the time sequence of receiving the collection requests, and this embodiment does not specifically limit this.

[0082] Optionally, the characteristic information in the outbound order information can be extracted, and the initiator information of the collection request corresponding to the outbound order information can be determined based on the characteristic information. Then, the historical collection task corresponding to the initiator information is called, and the logistics service provider information corresponding to the historical collection task is determined, and according to the collection time sequence of the historical collection order information in the historical collection task, the logistics service provider information that has recently provided collection services to the collection request initiator is screened from the logistics service provider information, and the commonly used logistics service provider information is used as the target logistics service provider information. Thus, the logistics transport label data corresponding to the outbound order information is generated based on the target logistics service provider information, such as the identification data of the logistics company of the target logistics service provider, so as to screen the initial collection task corresponding to the logistics transport label data from the waiting collection tasks, realize the aggregation of the collection tasks with the same logistics transport label data, reduce the complexity of matching the target collection task from the collection task, and also reduce the screening range of the target collection task, and improve the generation efficiency of the target collection task.

[0083] Figure 3The following is a schematic diagram of the process of determining the initial collection task according to some embodiments of the present disclosure. Figure 3 As shown, the initial collection task determination method may include the following steps:

[0084] In step S310, the attribute identification data of the to-be-collected order information corresponding to the logistics transport label data is determined;

[0085] In step S320, the initial collection task matching the attribute identification data is obtained by screening out from the collection tasks.

[0086] Among them, the attribute identification data may refer to the identification data corresponding to the logistics transportation label data. For example, the logistics transportation label number may be the name of the logistics transportation company, the attribute identification number may be the identification data corresponding to the abbreviation of the logistics transportation label data, the logistics transportation label data may also be the label data composed of the telephone area code corresponding to the location information of the logistics transportation company, the attribute identification data may be the identification data corresponding to the encoding rules of the logistics order number, such as the logistics order number of Company A consists of 12 digits and the first three digits start with the first three digits of the telephone area code, while the logistics order number of Company B consists of 11 digits. Of course, the attribute identification data may also be the identification data corresponding to other information of the logistics transportation label data, and this embodiment does not specifically limit this.

[0087] The attribute identification data in the order information to be collected can be determined based on the logistics transport label data, and part of the order information to be collected corresponding to the attribute label data can be screened from the order information to be collected in the collection task, and part of the outbound order information corresponding to the part of the order information to be collected can be determined based on the associated data of the part of the order information to be collected and the part of the order information to be collected, and then the initial collection task corresponding to the attribute identification data can be obtained based on the part of the order information to be collected and the part of the outbound order information. For example, the attribute identification data of logistics company A is an identification data string of 10 characters starting with an odd number and *. All the order information to be collected containing the attribute identification data can be filtered out from the collection tasks, that is, the collection tasks of logistics company A are filtered out from the collection tasks, and a collection task pool corresponding to logistics company A is generated. Then, when the courier operator inputs the outbound order number 1*11231234 in the collection terminal device, the collection terminal device will retrieve the outbound order information corresponding to 1*11231234 from the collection task pool corresponding to logistics company A, and generate a target collection task corresponding to the outbound order information.

[0088] Preferably, the initial collection task corresponding to the attribute identification data can be screened out from the collection tasks based on the attribute identification data corresponding to the logistics transport label data. Furthermore, when it is detected that the collection operator inputs the target outbound order information, the target collection task corresponding to the target outbound order information can be matched from the initial collection task, thereby avoiding manual verification of the target outbound order information and the collection task or the order information to be collected in the initial collection task, thereby improving the generation efficiency of the target collection task.

[0089] In some example embodiments of the present disclosure, when a scanning operation of the collection terminal device on the unique serial code of the item to be collected is detected, the unique serial code can be identified and the target outbound order information corresponding to the unique serial code can be obtained; and the target to-be-collected order information corresponding to the target outbound order information can be determined based on the associated data.

[0090] The unique serial code may refer to a unique identification code of the item to be collected. For example, the unique serial code may be the SN code of the item to be collected. Of course, the unique serial code may also be other unique identification codes of the item to be collected, and this embodiment does not specifically limit this.

[0091] By detecting the scanning operation of the unique serial code of the item to be collected and identifying the unique serial code, the target outbound order information can be obtained according to the unique serial code, and then the target to-be-collected order information corresponding to the target outbound order information can be obtained according to the preset association data between the target outbound order information and the target to-be-collected order information and the target outbound order information. Thus, the automatic matching of the target outbound order information and the target to-be-collected order information is realized, the manual checking of the target outbound order information and the target to-be-collected order information is avoided, and the matching efficiency and matching accuracy of the target outbound order information and the target to-be-collected order information are improved.

[0092] Figure 4 The following is a schematic diagram showing the process of the target acquisition task matching method according to some embodiments of the present disclosure. Figure 4 As shown, the target collection task matching method may include the following steps:

[0093] In step S410, receiving the radio frequency tag data of the item to be collected by the collection terminal device, and determining the collection area based on the radio frequency tag data;

[0094] In step S420, the target outbound order information and the target to-be-collected order information corresponding to the collection area are read;

[0095] In step S430, a target collection task corresponding to the target outbound order information and the target to-be-collected order information is obtained by matching from the initial collection task.

[0096] The radio frequency tag data may include electronic tag data developed based on wireless radio frequency identification technology. For example, the radio frequency tag data may be active radio frequency tag data or passive radio frequency tag data, which is not particularly limited in this embodiment.

[0097] The collection terminal device can be mainly composed of a radio frequency module, a memory, a control module and an antenna. By integrating the radio frequency module, the memory, the control module and the antenna on the same chip, the information of the identified object can be stored, and the information of the identified object can also be transmitted to the reader. After receiving the carrier signal sent by the radio frequency tag data, the reader demodulates and decodes the carrier signal to obtain the information of the identified object, and transmits the information of the identified object to the server.

[0098] When the collection personnel arrive at the collection area of ​​the items to be collected, the collection terminal device detects the RFID tag data and transmits the RFID tag data to the server. The server can determine the scope of the collection area based on the RFID tag data, and read the target outbound order information and target to-be-collected order information corresponding to the collection area, and generate a target collection task based on the target outbound order information and target to-be-collected order information.

[0099] Preferably, by utilizing wireless radio frequency identification technology, contactless two-way communication between the radio frequency chip and the reader / writer in the radio frequency tag data is realized, and the items to be collected are automatically identified, thereby avoiding manual verification of the outbound order information and the order information to be collected, improving the generation efficiency of the target collection tasks, and also improving the matching efficiency and matching accuracy of the outbound order information and the order information to be collected, thereby avoiding multiple collections of the items to be collected within the collection area, improving the collection efficiency of the items to be collected within the collection area, and reducing the collection cost of the items to be collected.

[0100] Figure 5 The following is a schematic diagram of a method for locating items to be collected according to some embodiments of the present disclosure. Figure 5 As shown, the method for locating items to be collected may include the following steps:

[0101] In step S510, the initial address information of the positioning device of the to-be-collected item corresponding to the target collection task and the target address information of the target to-be-collected order information corresponding to the to-be-collected item are obtained;

[0102] In step S520, a logistics transportation map corresponding to the target collection task is generated based on the initial address information and the target address information, and the items to be collected are tracked in real time based on the logistics transportation map;

[0103] In step S530, when a positioning request for the target collection task is detected, the current location information of the item to be collected is determined, and the current location information is sent to the collection terminal device, so that the item to be collected is collected according to the current location information displayed by the collection terminal device.

[0104] The initial address information may refer to the shipping address information of the items to be collected. The target address information may refer to the delivery address information of the items to be collected. The logistics transportation map may refer to a map constructed based on the initial address information and the delivery address information of the items to be collected.

[0105] Optionally, the party initiating the collection request may configure a positioning device such as a magnetic positioning device on the parcel of the item to be collected, and send the items to be collected to a parcel collection point or to a parcel collection cabinet designated by a logistics transportation center. After the collection operator arrives at the area corresponding to the initial address information of the item to be collected, he can input the outbound order information through the detection collection terminal, and display the current location information of the item to be collected on the logistics transportation map, so as to obtain the item to be collected according to the current location information, and update the logistics status of the item to be collected, such as updating the to-be-collected to the collected, so as to improve the collection accuracy of the item to be collected, and timely update the logistics status of the item to be collected, thereby improving the user experience.

[0106] It should be noted that, although the steps of the method in the present disclosure are described in a specific order in the drawings, this does not require or imply that the steps must be performed in this specific order, or that all the steps shown must be performed to achieve the desired results. Additionally or alternatively, some steps may be omitted, multiple steps may be combined into one step, and / or one step may be decomposed into multiple steps, etc.

[0107] In addition, in this exemplary embodiment, a target collection task matching device is also provided. Figure 6As shown, the target collection task matching device 600 includes: a collection task acquisition module 610, an initial collection task screening module 620, a target to-be-collected order information determination module 630, a target collection task matching module 640, and a to-be-collected item positioning module 650. Among them: the collection task acquisition module 610 is used to obtain the collection task; the collection task includes the outbound order information and the to-be-collected order information of the item; the initial collection task screening module 620 is used to determine the logistics transportation label data corresponding to the characteristic information by extracting the characteristic information of the outbound order information, and screen the initial collection task matching the logistics transportation label data from the collection task; the target to-be-collected order information determination module 630 is used to screen the target to-be-collected order information corresponding to the target outbound order information from the to-be-collected order information when a query request for the target outbound order information is detected; the target collection task matching module 640 is used to match the target collection task corresponding to the target outbound order information and the target to-be-collected order information from the initial collection task; the to-be-collected item positioning module 650 is used to determine the current location information of the to-be-collected item when a positioning request for the target collection task is detected, and send the current location information to the collection terminal device, so as to collect the to-be-collected item according to the current location information displayed by the collection terminal device.

[0108] In some example embodiments of the present disclosure, based on the aforementioned scheme, the target collection task matching device 600 also includes a collection task establishment module, which is used to read the associated data of the outbound order information and the to-be-collected order information reported by the logistics management center, and establish the collection task based on the associated data.

[0109] In some example embodiments of the present disclosure, based on the aforementioned scheme, the initial collection task screening module 620 also includes a logistics label data determination unit, which is used to extract the characteristic information of the outbound order information, and determine the initiator information corresponding to the outbound order information based on the characteristic information; call the historical collection task corresponding to the initiator information, and determine the logistics service provider information corresponding to the historical collection order information based on the historical collection order information in the historical collection task; obtain the current time point data and the collection time point data in the historical collection order information, calculate the time interval data between the current time point data and the collection time point data, and determine the minimum value in the time interval data, and the target historical collection order information corresponding to the minimum value; determine the target logistics service provider information corresponding to the target historical collection order information from the logistics service provider information; generate logistics transportation label data corresponding to the characteristic information based on the target logistics service provider information.

[0110] In some example embodiments of the present disclosure, based on the aforementioned scheme, the initial collection task screening module 620 also includes an initial collection task screening unit, which is used to determine the attribute identification data of the to-be-collected order information corresponding to the logistics transportation label data; and to screen the initial collection tasks that match the attribute identification data from the collection tasks.

[0111] In some example embodiments of the present disclosure, based on the aforementioned scheme, the module for determining target order information to be collected 630 also includes a target order information to be collected determination unit, and the target order information to be collected determination unit is used to identify the unique serial code when detecting the scanning operation of the unique serial code of the item to be collected by the collection terminal device, and obtain the target outbound order information corresponding to the unique serial code; determine the target outbound order information corresponding to the target outbound order information based on the associated data.

[0112] In some example embodiments of the present disclosure, based on the aforementioned scheme, the target target collection task matching module 640 also includes a target target collection task matching unit, which is used to receive the radio frequency tag data of the items to be collected collected by the collection terminal device, and determine the collection area range based on the radio frequency tag data; read the target outbound order information and target to-be-collected order information corresponding to the collection area range; and match the target collection task corresponding to the target outbound order information and the target to-be-collected order information from the initial collection task.

[0113] In some example embodiments of the present disclosure, based on the aforementioned scheme, the to-be-collected item positioning module 650 also includes a to-be-collected item positioning unit, and the to-be-collected item positioning unit is used to obtain the initial address information of the positioning device of the to-be-collected item corresponding to the target collection task, and the target address information of the target to-be-collected order information corresponding to the to-be-collected item; based on the initial address information and the target address information, a logistics transportation map corresponding to the target collection task is generated, and the to-be-collected item is tracked in real time based on the logistics transportation map; when a positioning request for the target collection task is detected, the current location information of the to-be-collected item is determined, and the current location information is sent to the collection terminal device, so that the to-be-collected item is collected according to the current location information displayed by the collection terminal device.

[0114] The specific details of each module of the above-mentioned target collection task matching device have been described in detail in the corresponding target collection task matching method, so they will not be repeated here.

[0115] It should be noted that although several modules or units of the target collection task matching device are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present disclosure, the features and functions of two or more modules or units described above can be concretized in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided into multiple modules or units to be concretized.

[0116] In addition, in an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above-mentioned target collection task matching method is also provided.

[0117] Those skilled in the art will appreciate that various aspects of the present disclosure may be implemented as systems, methods or program products. Therefore, various aspects of the present disclosure may be specifically implemented in the following forms, namely: complete hardware embodiments, complete software embodiments (including firmware, microcode, etc.), or embodiments combining hardware and software aspects, which may be collectively referred to herein as "circuits", "modules" or "systems".

[0118] Refer to the following Figure 7 hereinafter describes an electronic device 700 according to such an embodiment of the present disclosure. Figure 7 The electronic device 700 shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0119] like Figure 7 As shown, the electronic device 700 is in the form of a general computing device. The components of the electronic device 700 may include, but are not limited to: the at least one processing unit 710, the at least one storage unit 720, a bus 730 connecting different system components (including the storage unit 720 and the processing unit 710), and a display unit 740.

[0120] The storage unit stores a program code, which can be executed by the processing unit 710, so that the processing unit 710 performs the steps according to various exemplary embodiments of the present disclosure described in the above “Exemplary Method” section of this specification. For example, the processing unit 710 can perform the following steps: Figure 1In step S110 shown in the figure, a collection task is obtained; the collection task includes outbound order information and to-be-collected order information; in step S120, by extracting characteristic information of the outbound order information, the logistics transport label data corresponding to the characteristic information is determined, and an initial collection task matching the logistics transport label data is screened out from the collection task; in step S130, when a query request for target outbound order information is detected, target to-be-collected order information corresponding to the target outbound order information is screened out from the to-be-collected order information; in step S140, a target collection task corresponding to the target outbound order information and the target to-be-collected order information is matched from the initial collection task; in step S150, when a positioning request for the target collection task is detected, the current location information of the to-be-collected item corresponding to the target collection task is determined, and the current location information is sent down to the collection terminal device, so that the to-be-collected item is collected according to the current location information displayed by the collection terminal device.

[0121] The storage unit 720 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 721 and / or a cache memory unit 722 , and may further include a read-only memory unit (ROM) 723 .

[0122] The storage unit 720 may also include a program / utility 724 having a set (at least one) of program modules 725, such program modules 725 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0123] Bus 570 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0124] The electronic device 700 may also communicate with one or more external devices 770 (e.g., keyboards, pointing devices, Bluetooth devices, etc.), may also communicate with one or more devices that enable a user to interact with the electronic device 700, and / or communicate with any device that enables the electronic device 700 to communicate with one or more other computing devices (e.g., routers, modems, etc.). Such communication may be performed via an input / output (I / O) interface 750. Furthermore, the electronic device 700 may also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via a network adapter 760. As shown, the network adapter 760 communicates with other modules of the electronic device 700 via a bus 730. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device 700, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, etc.

[0125] Through the description of the above embodiments, it is easy for those skilled in the art to understand that the example embodiments described here can be implemented by software, or by software combined with necessary hardware. Therefore, the technical solution according to the embodiment of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiment of the present disclosure.

[0126] In an exemplary embodiment of the present disclosure, a computer-readable storage medium is also provided, on which a program product capable of implementing the above method of the present specification is stored. In some possible embodiments, various aspects of the present disclosure may also be implemented in the form of a program product, which includes a program code, and when the program product is run on a terminal device, the program code is used to enable the terminal device to perform the steps according to various exemplary embodiments of the present disclosure described in the above "Exemplary Method" section of the present specification.

[0127] refer to Figure 8 As shown, a program product 800 for implementing the above-mentioned target collection task matching method according to an embodiment of the present disclosure is described, which can adopt a portable compact disk read-only memory (CD-ROM) and include program code, and can be run on a terminal device, such as a personal computer. However, the program product of the present disclosure is not limited thereto. In this document, a readable storage medium can be any tangible medium containing or storing a program, which can be used by or in combination with an instruction execution system, an apparatus or a device.

[0128] The program product may use any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0129] Computer readable signal media may include data signals propagated in baseband or as part of a carrier wave, in which readable program code is carried. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Readable signal media may also be any readable medium other than a readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0130] The program code embodied on the readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination of the foregoing.

[0131] Program code for performing the operations of the present disclosure may be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java, C++, etc., and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a separate software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In cases involving a remote computing device, the remote computing device may be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., through the Internet using an Internet service provider).

[0132] In addition, the above-mentioned figures are only schematic illustrations of the processes included in the method according to the exemplary embodiments of the present disclosure, and are not intended to be limiting. It is easy to understand that the processes shown in the above-mentioned figures do not indicate or limit the time sequence of these processes. In addition, it is also easy to understand that these processes can be performed synchronously or asynchronously, for example, in multiple modules.

[0133] Through the description of the above embodiments, it is easy for those skilled in the art to understand that the example embodiments described here can be implemented by software, or by software combined with necessary hardware. Therefore, the technical solution according to the embodiment of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the embodiment of the present disclosure.

[0134] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The specification and examples are to be considered exemplary only, and the true scope and spirit of the present disclosure are indicated by the claims.

[0135] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A target collection task matching method, characterized in that: include: Obtaining a collection task; the collection task includes outbound order information and pending collection order information; By extracting characteristic information of the outbound order information, determining the logistics transport label data corresponding to the characteristic information, and screening out the initial collection task matching the logistics transport label data from the collection tasks; When a query request for target outbound order information is detected, target to-be-collected order information corresponding to the target outbound order information is obtained from the to-be-collected order information; Matching the target collection task corresponding to the target outbound order information and the target to-be-collected order information from the initial collection task; When a positioning request of the target collection task is detected, current location information of the to-be-collected item corresponding to the target collection task is determined, and the current location information is sent to the collection terminal device, so that the to-be-collected item is collected according to the current location information displayed by the collection terminal device; Wherein, determining the logistics transport label data corresponding to the characteristic information includes: Determine the initiator information corresponding to the outbound order information based on the characteristic information; Calling the historical collection task corresponding to the initiator information, and determining the logistics service provider information corresponding to the historical collection order information based on the historical collection order information in the historical collection task; According to the time sequence of receiving the collection request, the target logistics service provider information is filtered from the logistics service provider information, and the logistics transportation label data is generated based on the target logistics service provider information.

2. The target collection task matching method according to claim 1, characterized in that: The collection task is established by reading the associated data of the outbound order information and the to-be-collected order information reported by the logistics management center and based on the associated data.

3. The target collection task matching method according to claim 1 is characterized in that: The step of filtering target logistics service provider information from the logistics service provider information according to the time sequence of receiving the pickup request includes: Acquire the current time point data and the collection time point data in the historical collection order information, calculate the time interval data between the current time point data and the collection time point data, and determine the minimum value in the time interval data and the target historical collection order information corresponding to the minimum value; The target logistics service provider information corresponding to the target historical collection order information is determined from the logistics service provider information.

4. The target collection task matching method according to claim 1, characterized in that: The step of selecting the initial collection task that matches the logistics transport label data from the collection tasks includes: Determine the attribute identification data of the to-be-collected order information corresponding to the logistics transport label data; The initial collection task matching the attribute identification data is obtained by screening from the collection tasks.

5. The target collection task matching method according to claim 1, characterized in that: When a query request for target outbound order information is detected, the target to-be-collected order information corresponding to the target outbound order information is obtained from the to-be-collected order information, including: When detecting that the collection terminal device has scanned the unique serial code of the item to be collected, identifying the unique serial code and acquiring the target outbound order information corresponding to the unique serial code; The target to-be-collected order information corresponding to the target outbound order information is determined based on the preset association data between the target outbound order information and the target to-be-collected order.

6. The target collection task matching method according to claim 1, characterized in that: The matching of the initial collection task to obtain the target collection task corresponding to the target outbound order information and the target to-be-collected order information includes: Receiving radio frequency tag data of the items to be collected collected by the collection terminal device, and determining a collection area based on the radio frequency tag data; Read the target outbound order information and the target to-be-collected order information corresponding to the collection area range; A target collection task corresponding to the target outbound order information and the target to-be-collected order information is obtained by matching from the initial collection task.

7. The target collection task matching method according to claim 1, characterized in that: When the positioning request of the target collection task is detected, the current location information of the to-be-collected item corresponding to the target collection task is determined, and the current location information is sent to the collection terminal device, so as to collect the to-be-collected item according to the current location information displayed by the collection terminal device, including: Calling the initial address information of the positioning device of the to-be-collected item corresponding to the target collection task, and the target address information of the target to-be-collected order information corresponding to the to-be-collected item; Based on the initial address information and the target address information, a logistics transportation map corresponding to the target collection task is generated, and the items to be collected are tracked in real time based on the logistics transportation map; When a positioning request of the target to-be-collected task is detected, the current location information of the to-be-collected item is determined, and the current location information is sent to the collection terminal device, so that the to-be-collected item is collected according to the current location information displayed by the collection terminal device.

8. A target collection task matching device, characterized in that: include: A collection task acquisition module is used to acquire collection tasks; the collection tasks include the outbound order information and the pending collection order information of the items; The initial collection task screening module is used to determine the logistics transportation label data corresponding to the characteristic information by extracting the characteristic information of the outbound order information, and screen the collection tasks to obtain the initial collection tasks matching the logistics transportation label data; wherein the characteristic information refers to the information for determining the key data of the initiator of the collection item request according to the outbound order information, and the logistics transportation label data refers to the label data corresponding to the logistics transportation information of the initiator of the collection item request; A target to-be-collected order information determination module is used to, when a query request for target outbound order information is detected, filter the to-be-collected order information to obtain target to-be-collected order information corresponding to the target outbound order information; A target collection task matching module is used to match the target collection task corresponding to the target outbound order information and the target to-be-collected order information from the initial collection task; A waiting-for-collection object positioning module, configured to determine the current position information corresponding to the waiting-for-collection object corresponding to the target collection task when a positioning request of the target collection task is detected, and send the current position information to the collection terminal device, so as to collect the waiting-for-collection object according to the current position information displayed by the collection terminal device; Wherein, determining the logistics transport label data corresponding to the characteristic information includes: Determine the initiator information corresponding to the outbound order information based on the characteristic information; Calling the historical collection task corresponding to the initiator information, and determining the logistics service provider information corresponding to the historical collection order information based on the historical collection order information in the historical collection task; According to the time sequence of receiving the collection request, the target logistics service provider information is filtered from the logistics service provider information, and the logistics transportation label data is generated based on the target logistics service provider information.

9. An electronic device, comprising: processor; as well as A memory having computer-readable instructions stored thereon, wherein the computer-readable instructions, when executed by the processor, implement the target collection task matching method as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the target collection task matching method according to any one of claims 1 to 7.

Images