Sorting prompt information sending method and device, equipment, readable medium and product

Abstract

The embodiment of the invention discloses a sorting prompt information sending method and device, equipment, a readable medium and a product. A specific embodiment of the method comprises the following steps: generating weight information of each piece of influence factor information in an influence factor information set according to the influence factor information set corresponding to a sorting service; in response to a received sorting task receiving request of a corresponding sorting user sent by the picking terminal equipment, obtaining a parameter information set corresponding to the sorting task receiving request; generating sorting prompt probability information corresponding to the parameter information set according to each piece of weight information corresponding to the influence factor information set; in response to determining that the sorting prompt probability information meets a preset prompt condition, generating sorting prompt information; and sending the sorting prompt information and the sorting task information corresponding to the sorting task receiving request to the sorting terminal equipment. The implementation mode is related to intelligent logistics, and the storage picking difference is reduced.

Description

Technical Field

[0001] Embodiments of the present disclosure relate to the field of computer technology, and in particular to a method, device, equipment, readable medium, and product for sending sorting prompt information. Background Art

[0002] Sorting business refers to the business of sorting the items corresponding to the orders placed in the warehouse. Warehouse picking discrepancies (such as wrong picking quantity) will eventually cause returns. At present, the commonly used way to deal with warehouse picking discrepancies is to create sorting indicators based on relevant information such as the reason for return, and quantify the sorter's operations with the sorting indicators.

[0003] However, the inventors have found that when the above method is used, the following technical problems often occur: the creation of sorting indicators requires user feedback, indicator processing, indicator feedback and other links, resulting in a high lag in the use of sorting indicators, and the sorters cannot be prompted in advance, resulting in high differences in warehouse picking.

[0004] The above information disclosed in this Background section is only for enhancement of understanding of the background of the inventive concept and therefore it may contain information that does not form the prior art that is already known in this country to a person of ordinary skill in the art. Summary of the invention

[0005] The content of this disclosure is used to introduce concepts in a brief form, which will be described in detail in the detailed implementation section below. The content of this disclosure is not intended to identify the key features or essential features of the technical solution claimed for protection, nor is it intended to limit the scope of the technical solution claimed for protection.

[0006] Some embodiments of the present disclosure provide a method, device, electronic device, computer-readable medium, and computer program product for sending sorting prompt information to solve one or more of the technical problems mentioned in the above background technology section.

[0007] In a first aspect, some embodiments of the present disclosure provide a method for sending sorting prompt information, the method comprising: generating weight information of each influencing factor information in the influencing factor information set according to an influencing factor information set corresponding to a sorting business; in response to receiving a sorting task collection request of a corresponding sorting user sent by a picking terminal device, obtaining a parameter information set corresponding to the sorting task collection request; generating sorting prompt probability information corresponding to the parameter information set according to each weight information corresponding to the influencing factor information set; generating sorting prompt information in response to determining that the sorting prompt probability information meets a preset prompt condition; and sending the sorting prompt information and the sorting task information corresponding to the sorting task collection request to the picking terminal device.

[0008] Optionally, the obtaining of the parameter information set corresponding to the sorting task pick-up request includes: obtaining each user parameter information corresponding to the sorting user as each parameter information; obtaining each sorting task parameter information corresponding to the sorting task pick-up request as each parameter information; and determining each acquired parameter information as a parameter information set.

[0009] Optionally, the generating of sorting prompt probability information corresponding to the parameter information set according to each weight information corresponding to the influencing factor information set includes: determining weight information corresponding to each parameter information in the parameter information set according to each weight information; generating sorting prompt probability information according to each weight information corresponding to each parameter information in the parameter information set.

[0010] Optionally, the generating of the sorting prompt information includes: sorting each weight information corresponding to each parameter information in the parameter information set to obtain a weight information sequence; selecting a preset number of weight information from the weight information sequence as a target weight information set; and generating the sorting prompt information according to the target weight information set.

[0011] Optionally, generating the sorting prompt probability information according to each weight information corresponding to each parameter information in the parameter information set includes: determining the sum of each weight information corresponding to each parameter information in the parameter information set as the sorting prompt probability information.

[0012] Optionally, the above-mentioned generating weight information of each influencing factor information in the above-mentioned influencing factor information set according to the influencing factor information set corresponding to the sorting business includes: determining a judgment matrix corresponding to the above-mentioned influencing factor information set; in response to determining that the above-mentioned judgment matrix satisfies a first preset consistency condition, generating initial weight information of each influencing factor information in the above-mentioned influencing factor information set; determining each lower-level judgment matrix corresponding to the above-mentioned influencing factor information set; determining whether each lower-level judgment matrix and each initial weight information satisfy a second preset consistency condition according to the above-mentioned each lower-level judgment matrix and each generated initial weight information; in response to determining that the above-mentioned each lower-level judgment matrix and each initial weight information satisfy the above-mentioned second preset consistency condition, determining each initial weight information as the weight information corresponding to each influencing factor information in the above-mentioned influencing factor information set.

[0013] In a second aspect, some embodiments of the present disclosure provide a sorting prompt information sending device, the device comprising: a first generating unit, configured to generate weight information of each influencing factor information in the influencing factor information set according to the influencing factor information set corresponding to the sorting business; an acquiring unit, configured to acquire a parameter information set corresponding to the sorting task collection request in response to receiving a sorting task collection request of the corresponding sorting user sent by the picking terminal device; a second generating unit, configured to generate sorting prompt probability information corresponding to the parameter information set according to each weight information corresponding to the influencing factor information set; a third generating unit, configured to generate sorting prompt information in response to determining that the sorting prompt probability information meets a preset prompt condition; a sending unit, configured to send the sorting prompt information and the sorting task information corresponding to the sorting task collection request to the picking terminal device.

[0014] Optionally, the acquisition unit is further configured to: acquire each user parameter information corresponding to the above-mentioned sorting user as each parameter information; acquire each sorting task parameter information corresponding to the above-mentioned sorting task collection request as each parameter information; and determine the acquired each parameter information as a parameter information set.

[0015] Optionally, the second generating unit is further configured to: determine the weight information corresponding to each parameter information in the parameter information set according to the above-mentioned weight information; and generate sorting prompt probability information according to the weight information corresponding to each parameter information in the parameter information set.

[0016] Optionally, the third generation unit is further configured to: sort the weight information corresponding to each parameter information in the above parameter information set to obtain a weight information sequence; select a preset number of weight information from the above weight information sequence as a target weight information set; and generate sorting prompt information according to the above target weight information set.

[0017] Optionally, the second generating unit is further configured to: determine the sum of each weight information corresponding to each parameter information in the above parameter information set as the sorting prompt probability information.

[0018] Optionally, the first generation unit is further configured to: determine a judgment matrix corresponding to the above-mentioned influencing factor information set; in response to determining that the above-mentioned judgment matrix satisfies the first preset consistency condition, generate initial weight information for each influencing factor information in the above-mentioned influencing factor information set; determine each lower-level judgment matrix corresponding to the above-mentioned influencing factor information set; determine whether the above-mentioned each lower-level judgment matrix and the above-mentioned each initial weight information satisfy the second preset consistency condition based on the above-mentioned each lower-level judgment matrix and the generated each initial weight information; in response to determining that the above-mentioned each lower-level judgment matrix and the above-mentioned each initial weight information satisfy the above-mentioned second preset consistency condition, determine the above-mentioned each initial weight information as the weight information corresponding to each influencing factor information in the above-mentioned influencing factor information set.

[0019] In a third aspect, some embodiments of the present disclosure provide an electronic device comprising: one or more processors; a storage device on which one or more programs are stored, and when the one or more programs are executed by the one or more processors, the one or more processors implement the method described in any implementation manner of the above-mentioned first aspect.

[0020] In a fourth aspect, some embodiments of the present disclosure provide a computer-readable medium having a computer program stored thereon, wherein when the program is executed by a processor, the method described in any implementation manner of the above-mentioned first aspect is implemented.

[0021] In a fifth aspect, some embodiments of the present disclosure provide a computer program product, including a computer program, which implements the method described in any implementation manner of the above-mentioned first aspect when executed by a processor.

[0022] The above-mentioned embodiments of the present disclosure have the following beneficial effects: through the sorting prompt information sending method of some embodiments of the present disclosure, the warehouse picking difference is reduced. Specifically, the reason for the high warehouse picking difference is that the creation of the sorting index needs to go through user feedback, index processing, index feedback and other links, resulting in a high lag in the use of the sorting index, and the sorter cannot be prompted in advance, resulting in a high warehouse picking difference. Based on this, the sorting prompt information sending method of some embodiments of the present disclosure, first, according to the influencing factor information set corresponding to the sorting business, generates the weight information of each influencing factor information in the above influencing factor information set. Thus, the weights of each influencing factor related to the sorting business can be determined in advance. Then, in response to receiving the sorting task collection request of the corresponding sorting user sent by the picking terminal device, the parameter information set corresponding to the above sorting task collection request is obtained. Thus, the various parameters involved in the current sorting task collection request can be determined. Afterwards, according to the various weight information corresponding to the above influencing factor information set, the sorting prompt probability information corresponding to the above parameter information set is generated. Thus, the probability of sorting prompts for the current sorting task collection request can be determined. Secondly, in response to determining that the above-mentioned sorting prompt probability information meets the preset prompt condition, sorting prompt information is generated. Thus, when the probability of performing the sorting prompt meets the condition, the sorting prompt information can be generated. Finally, the above-mentioned sorting prompt information and the sorting task information corresponding to the above-mentioned sorting task collection request are sent to the above-mentioned picking terminal device. Thus, the sorting user can view the sorting prompt information when viewing the sorting task information to guide the sorting operation. Also, because the sorting prompt information is sent to the picking terminal device before the sorting user performs the sorting, the sorting user can be guided to sort the items in advance, thereby reducing the lag of the sorting prompt, and further reducing the warehouse picking difference. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and that components and elements are not necessarily drawn to scale.

[0024] Figure 1 is an architectural diagram of an exemplary system in which some embodiments of the present disclosure may be applied;

[0025] Figure 2 is a flow chart of some embodiments of the method for sending sorting prompt information according to the present disclosure;

[0026] Figure 3 is a flow chart of other embodiments of the method for sending sorting prompt information according to the present disclosure;

[0027] Figure 4 is a schematic diagram of the structure of some embodiments of the sorting prompt information sending device according to the present disclosure;

[0028] Figure 5 It is a schematic diagram of the structure of an electronic device suitable for implementing some embodiments of the present disclosure. DETAILED DESCRIPTION

[0029] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments set forth herein. On the contrary, these embodiments are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0030] It should also be noted that, for ease of description, only the parts related to the invention are shown in the drawings. In the absence of conflict, the embodiments and features in the embodiments of the present disclosure can be combined with each other.

[0031] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0032] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0033] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0034] With regard to the collection, storage, and use of user personal information (such as user parameter information) involved in this disclosure, before performing the corresponding operations, the relevant organizations or individuals shall fulfill their obligations, including conducting personal information security impact assessments, fulfilling the obligation to inform the personal information subject, and obtaining the authorization and consent of the personal information subject in advance.

[0035] The present disclosure will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0036] Figure 1 An exemplary system architecture 100 is shown to which a method or apparatus for sending sorting prompt information according to some embodiments of the present disclosure may be applied.

[0037] like Figure 1As shown, the system architecture 100 may include terminal devices 101, 102, 103, a network 104 and a server 105. The network 104 is used to provide a medium for communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links or optical fiber cables, etc.

[0038] Users can use terminal devices 101, 102, 103 to interact with server 105 through network 104 to receive or send messages, etc. Various communication client applications can be installed on terminal devices 101, 102, 103, such as web browser applications, warehouse item sorting applications, search applications, instant messaging tools, email clients, social platform software, etc.

[0039] Terminal devices 101, 102, 103 can be hardware or software. When terminal devices 101, 102, 103 are hardware, they can be various electronic devices with display screens and supporting information display, including but not limited to RF devices, smart phones, tablet computers, e-book readers, laptop portable computers and desktop computers, etc. When terminal devices 101, 102, 103 are software, they can be installed in the electronic devices listed above. They can be implemented as multiple software or software modules for providing distributed services, for example, or they can be implemented as a single software or software module. No specific limitation is made here.

[0040] The server 105 may be a server that provides various services, such as a background server that provides support for information displayed on the terminal devices 101, 102, and 103. The background server may analyze and process the received request and other data, and feed back the processing results to the terminal device.

[0041] It should be noted that the method for sending sorting prompt information provided in the embodiment of the present disclosure can be executed by the server 105. Accordingly, the sorting prompt information sending device can be set in the server 105. No specific limitation is made here.

[0042] It should be noted that the server can be hardware or software. When the server is hardware, it can be implemented as a distributed server cluster consisting of multiple servers, or it can be implemented as a single server. When the server is software, it can be implemented as multiple software or software modules for providing distributed services, or it can be implemented as a single software or software module. No specific limitation is made here.

[0043] It should be understood that Figure 1 The number of terminal devices, networks and servers in the embodiment is only for illustration. Any number of terminal devices, networks and servers may be provided according to implementation requirements.

[0044] Continue to refer Figure 2 , shows a process 200 of some embodiments of the method for sending sorting prompt information according to the present disclosure. The method for sending sorting prompt information includes the following steps:

[0045] Step 201: Generate weight information of each influencing factor information in the influencing factor information set according to the influencing factor information set corresponding to the sorting business.

[0046] In some embodiments, the execution subject of the sorting prompt information sending method (for example Figure 1 The server shown) can generate the weight information of each influencing factor information in the above-mentioned influencing factor information set according to the influencing factor information set corresponding to the sorting business. Among them, the above-mentioned sorting business can be the business of sorting items in the warehouse according to the orders issued. The above-mentioned influencing factor information set can be various influencing parameters related to the above-mentioned sorting business. The influencing parameters can be understood as field names. For example, the above-mentioned influencing factor information set can include but are not limited to: piecemeal picking tasks, commodity characteristic attributes, new employee labels, customer tolerance, and job congestion. The field values ​​corresponding to the piecemeal picking tasks and new employee labels can be field values ​​of Boolean type. The above-mentioned influencing factor information set can be pre-selected and is not specifically limited. In practice, the above-mentioned execution entity can determine the weight information corresponding to each influencing factor information in the above-mentioned influencing factor information set through hierarchical analysis.

[0047] In some optional implementations of some embodiments, the execution subject may generate weight information of each influencing factor information in the influencing factor information set according to the influencing factor information set corresponding to the sorting service through the following steps:

[0048] The first step is to determine the judgment matrix corresponding to the above-mentioned influencing factor information set. In practice, first, for each influencing factor information in the above-mentioned influencing factor information set, the above-mentioned execution entity can generate an average scale score according to the scale score corresponding to the above-mentioned influencing factor information input by each target user. The target user can be an expert user. The scale score can be an integer score within a preset range input by the expert user. For example, the preset range can be 1-5. Then, based on the generated scale scores, a judgment matrix corresponding to the above-mentioned influencing factor information set can be generated. Specifically, the above-mentioned execution entity can generate a judgment matrix by scaling the preset range with the inverse of the value within the preset range.

[0049] The second step is to generate initial weight information of each influencing factor information in the influencing factor information set in response to determining that the judgment matrix satisfies the first preset consistency condition. The first preset consistency condition may be that the consistency ratio of the judgment matrix is ​​less than the preset ratio. For example, the preset ratio may be 0.1. Here, there is no limitation on the specific setting of the preset ratio. In practice, the execution subject may generate initial weight information of each influencing factor information in the influencing factor information set by the square root method.

[0050] The third step is to determine the lower-level judgment matrices corresponding to the above-mentioned influencing factor information set. Here, the specific implementation method of determining the lower-level judgment matrices corresponding to the above-mentioned influencing factor information set can refer to the above-mentioned first step, which will not be repeated here. The lower-level judgment matrix can be the judgment matrix of the target layer corresponding to the criterion layer.

[0051] The fourth step is to determine whether the above-mentioned lower-level judgment matrices and the above-mentioned initial weight information meet the second preset consistency condition based on the above-mentioned lower-level judgment matrices and the above-mentioned initial weight information. The second preset consistency condition can be that the total sorting consistency ratio is less than the preset ratio. The total sorting consistency ratio can be determined by the above-mentioned lower-level judgment matrices and the above-mentioned initial weight information.

[0052] In the fifth step, in response to determining that the above-mentioned each lower-layer judgment matrix and the above-mentioned each initial weight information meet the above-mentioned second preset consistency condition, the above-mentioned each initial weight information is determined as the weight information corresponding to each influencing factor information in the above-mentioned influencing factor information set. Thus, when both the layer single sorting and the layer total sorting meet the consistency condition, the initial weight information of each influencing factor information in the influencing factor information set can be determined as the weight information of the influencing factor information.

[0053] Step 202: in response to receiving a sorting task receiving request from a corresponding sorting user sent by a picking terminal device, a parameter information set of the corresponding sorting task receiving request is obtained.

[0054] In some embodiments, the execution subject may obtain a parameter information set corresponding to the sorting task collection request in response to receiving a sorting task collection request from a corresponding sorting user sent by a picking terminal device. The picking terminal device may be a terminal device (e.g., an RF device) to be used by the sorting user in the process of sorting items. The sorting user may be a user (i.e., a sorter) who sorts items in a warehouse according to issued orders. The sorting task collection request may be a request for collecting a sorting task. The parameter information set may be various parameters involved in the sorting task collection request. The parameter information in the parameter information set may include parameter names. In practice, the execution subject may obtain the various field names corresponding to the sorting task type as a parameter information set according to the sorting task type included in the sorting task collection request. The various field names corresponding to the sorting task type may be various input parameter names pre-set for the sorting task type.

[0055] In some optional implementations of some embodiments, the execution subject may obtain the parameter information set corresponding to the sorting task collection request through the following steps:

[0056] The first step is to obtain the user parameter information corresponding to the above-mentioned sorting user as the parameter information. The user parameter information corresponding to the above-mentioned sorting user may include but is not limited to: a new user tag. In practice, the execution subject may obtain the user parameter information corresponding to the above-mentioned sorting user from the database as the parameter information through the user account of the above-mentioned sorting user and the logged-in system identifier.

[0057] The second step is to obtain each sorting task parameter information corresponding to the sorting task collection request as each parameter information. In practice, the execution subject can obtain each field name corresponding to the sorting task type as each parameter information according to the sorting task type included in the sorting task collection request.

[0058] The third step is to determine the acquired parameter information into a parameter information set, thereby assembling the parameter information set from the dimensions of users and sorting tasks.

[0059] Step 203: Generate sorting prompt probability information corresponding to the parameter information set according to each weight information corresponding to the influencing factor information set.

[0060] In some embodiments, the execution subject may generate the sorting prompt probability information corresponding to the parameter information set according to the weight information corresponding to the influencing factor information set. In practice, for each influencing factor information in the influencing factor information set, the execution subject may determine whether there is parameter information corresponding to the influencing factor information in the parameter information set. Among them, the parameter information corresponding to the influencing factor information may be the same parameter information as the influencing factor information. Then, in response to determining that the parameter information corresponding to the influencing factor information exists in the parameter information set, the return value corresponding to the influencing factor information may be determined as the weight information of the influencing factor information. Secondly, in response to determining that the parameter information corresponding to the influencing factor information does not exist in the parameter information set, the return value corresponding to the influencing factor information may be determined as a predetermined value. For example, the predetermined value may be 0. Finally, the sum of the return values ​​corresponding to the various influencing factor information in the influencing factor information set may be determined as the sorting prompt probability information corresponding to the parameter information set.

[0061] Step 204: in response to determining that the sorting prompt probability information meets a preset prompt condition, generating sorting prompt information.

[0062] In some embodiments, the execution subject may generate sorting prompt information in response to determining that the sorting prompt probability information satisfies a preset prompt condition. The preset prompt condition may be that the sorting prompt probability information is greater than a preset probability. Here, there is no limitation on the specific setting of the preset probability. For example, the preset probability may be 50%. In practice, the execution subject may determine the preset information that prompts the sorting user to pay attention to the sorting difference as the sorting prompt information. For example, the preset information that prompts the sorting user to pay attention to the sorting difference may be "The current sorting task has a high probability of error, please sort carefully".

[0063] Step 205: Send the sorting prompt information and the sorting task information corresponding to the sorting task collection request to the picking terminal device.

[0064] In some embodiments, the above-mentioned execution entity may send the above-mentioned sorting prompt information and the sorting task information corresponding to the above-mentioned sorting task collection request to the above-mentioned picking terminal device. Among them, the above-mentioned sorting task information may be the information required to view to execute the sorting task. For example, the sorting task information may include but is not limited to: order number, item information set. The item information in the item information set may include but is not limited to: item identification, item quantity. In practice, the above-mentioned execution entity may send the above-mentioned sorting prompt information and the sorting task information corresponding to the above-mentioned sorting task collection request to the above-mentioned picking terminal device via a wired connection or a wireless connection. It should be pointed out that the above-mentioned wireless connection method may include but is not limited to 3G / 4G connection, WiFi connection, Bluetooth connection, WiMAX connection, Zigbee connection, UWB (ultra wideband) connection, and other wireless connection methods currently known or to be developed in the future.

[0065] The above-mentioned embodiments of the present disclosure have the following beneficial effects: through the sorting prompt information sending method of some embodiments of the present disclosure, the warehouse picking difference is reduced. Specifically, the reason for the high warehouse picking difference is that the creation of the sorting index needs to go through user feedback, index processing, index feedback and other links, resulting in a high lag in the use of the sorting index, and the sorter cannot be prompted in advance, resulting in a high warehouse picking difference. Based on this, the sorting prompt information sending method of some embodiments of the present disclosure, first, according to the influencing factor information set corresponding to the sorting business, generates the weight information of each influencing factor information in the above influencing factor information set. Thus, the weights of each influencing factor related to the sorting business can be determined in advance. Then, in response to receiving the sorting task collection request of the corresponding sorting user sent by the picking terminal device, the parameter information set corresponding to the above sorting task collection request is obtained. Thus, the various parameters involved in the current sorting task collection request can be determined. Afterwards, according to the various weight information corresponding to the above influencing factor information set, the sorting prompt probability information corresponding to the above parameter information set is generated. Thus, the probability of sorting prompts for the current sorting task collection request can be determined. Secondly, in response to determining that the above-mentioned sorting prompt probability information meets the preset prompt condition, sorting prompt information is generated. Thus, when the probability of performing the sorting prompt meets the condition, the sorting prompt information can be generated. Finally, the above-mentioned sorting prompt information and the sorting task information corresponding to the above-mentioned sorting task collection request are sent to the above-mentioned picking terminal device. Thus, the sorting user can view the sorting prompt information when viewing the sorting task information to guide the sorting operation. Also, because the sorting prompt information is sent to the picking terminal device before the sorting user performs the sorting, the sorting user can be guided to sort the items in advance, thereby reducing the lag of the sorting prompt, and further reducing the warehouse picking difference.

[0066] Further references Figure 3 , which shows a process 300 of another embodiment of the method for sending sorting prompt information. The process 300 of the method for sending sorting prompt information includes the following steps:

[0067] Step 301: Generate weight information of each influencing factor information in the influencing factor information set according to the influencing factor information set corresponding to the sorting business.

[0068] Step 302: in response to receiving a sorting task receiving request from a corresponding sorting user sent by a picking terminal device, a parameter information set of the corresponding sorting task receiving request is obtained.

[0069] In some embodiments, the specific implementation of steps 301-302 and the technical effects brought about can be referred to Figure 2 The corresponding steps 201-202 in the embodiments are not described in detail here.

[0070] Step 303: Determine the weight information corresponding to each parameter information in the parameter information set according to each weight information.

[0071] In some embodiments, the execution subject of the sorting prompt information sending method (for example Figure 1 The server shown in the figure) can determine the weight information corresponding to each parameter information in the above parameter information set according to the above weight information. In practice, the above execution entity can determine the corresponding impact factor information in the above weight information and the weight information corresponding to the above parameter information as the weight information corresponding to the above parameter information.

[0072] Step 304: Generate sorting prompt probability information according to each weight information corresponding to each parameter information in the parameter information set.

[0073] In some embodiments, the execution entity may generate the sorting prompt probability information according to the weight information corresponding to each parameter information in the parameter information set. In practice, the execution entity may determine the sum of the weight information corresponding to each parameter information in the parameter information set as the sorting prompt probability information.

[0074] Step 305: sort the weight information corresponding to the parameter information in the parameter information set to obtain a weight information sequence.

[0075] In some embodiments, the execution subject may sort the weight information corresponding to each parameter information in the parameter information set to obtain a weight information sequence. In practice, the execution subject may sort the weight information corresponding to each parameter information in the parameter information set in descending order to obtain a weight information sequence.

[0076] Step 306: Select a preset number of weight information from the weight information sequence as a target weight information set.

[0077] In some embodiments, the execution subject may select a preset number of weight information from the weight information sequence as the target weight information set. In practice, the execution subject may select a preset number of weight information from the header of the weight information sequence as the target weight information set. For example, the preset number may be 2.

[0078] Step 307: Generate sorting prompt information according to the target weight information set.

[0079] In some embodiments, the above-mentioned execution entity can generate sorting prompt information based on the above-mentioned target weight information set. In practice, first, the above-mentioned execution entity can determine the influencing factor information corresponding to each target weight information in the above-mentioned target weight information set as the influencing factor information to be prompted, and obtain the influencing factor information set to be prompted. Then, the above-mentioned influencing factor information set to be prompted can be filled into the preset sorting prompt template to obtain the sorting prompt information. Among them, the above-mentioned preset sorting prompt template can be a pre-set corpus template for filling in each influencing factor information to be prompted to prompt the sorting user to pay attention. For example, the preset sorting prompt template can be "The following influencing factors in the current sorting task have a high probability of error, please sort carefully:". The underlined part is to be filled with the influencing factor information set to be prompted.

[0080] Step 308: Send the sorting prompt information and the sorting task information corresponding to the sorting task collection request to the picking terminal device.

[0081] In some embodiments, the specific implementation of step 308 and the technical effects brought about can be referred to Figure 2 The corresponding step 205 in the embodiments will not be described in detail here.

[0082] from Figure 3 It can be seen that Figure 2 Compared with the description of some corresponding embodiments, Figure 3 The process 300 of the method for sending the sorting prompt information in some corresponding embodiments reflects the steps extended to generate the sorting prompt information. Therefore, the schemes described in these embodiments can locate the factors that have a greater impact on the sorting difference, and use them to prompt the sorting user to sort the items. This further reduces the warehouse picking difference.

[0083] Further references Figure 4 As an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of a sorting prompt information sending device, and these device embodiments are Figure 2Corresponding to the method embodiments shown, the device can be specifically applied to various electronic devices.

[0084] like Figure 4 As shown, the sorting prompt information sending device 400 of some embodiments includes: a first generating unit 401, an acquiring unit 402, a second generating unit 403, a third generating unit 404 and a sending unit 405. The first generating unit 401 is configured to generate weight information of each influencing factor information in the influencing factor information set according to the influencing factor information set corresponding to the sorting business; the acquiring unit 402 is configured to obtain a parameter information set corresponding to the sorting task receiving request in response to receiving a sorting task receiving request of a corresponding sorting user sent by a picking terminal device; the second generating unit 403 is configured to generate sorting prompt probability information corresponding to the parameter information set according to each weight information corresponding to the influencing factor information set; the third generating unit 404 is configured to generate sorting prompt information in response to determining that the sorting prompt probability information meets the preset prompt condition; the sending unit 405 is configured to send the sorting prompt information and the sorting task information corresponding to the sorting task receiving request to the picking terminal device.

[0085] Optionally, the acquisition unit 402 may be further configured to: acquire each user parameter information corresponding to the above-mentioned sorting user as each parameter information; acquire each sorting task parameter information corresponding to the above-mentioned sorting task collection request as each parameter information; and determine the acquired each parameter information as a parameter information set.

[0086] Optionally, the second generating unit 403 may be further configured to: determine the weight information corresponding to each parameter information in the parameter information set according to the above-mentioned weight information; and generate sorting prompt probability information according to the weight information corresponding to each parameter information in the parameter information set.

[0087] Optionally, the third generation unit 404 can be further configured to: sort the weight information corresponding to each parameter information in the above-mentioned parameter information set to obtain a weight information sequence; select a preset number of weight information from the above-mentioned weight information sequence as a target weight information set; and generate sorting prompt information according to the above-mentioned target weight information set.

[0088] Optionally, the second generating unit 403 may be further configured to: determine the sum of each weight information corresponding to each parameter information in the above parameter information set as the sorting prompt probability information.

[0089] Optionally, the first generation unit 401 can be further configured to: determine a judgment matrix corresponding to the above-mentioned influencing factor information set; in response to determining that the above-mentioned judgment matrix satisfies the first preset consistency condition, generate initial weight information for each influencing factor information in the above-mentioned influencing factor information set; determine each lower-level judgment matrix corresponding to the above-mentioned influencing factor information set; determine whether the above-mentioned each lower-level judgment matrix and the above-mentioned each initial weight information satisfy the second preset consistency condition based on the above-mentioned each lower-level judgment matrix and the generated each initial weight information; in response to determining that the above-mentioned each lower-level judgment matrix and the above-mentioned each initial weight information satisfy the above-mentioned second preset consistency condition, determine the above-mentioned each initial weight information as the weight information corresponding to each influencing factor information in the above-mentioned influencing factor information set.

[0090] It is understood that the units described in the device 400 are similar to those described in the reference Figure 2 Therefore, the operations, features and beneficial effects described above for the method are also applicable to the device 400 and the units included therein, and will not be described in detail here.

[0091] Reference below Figure 5 , which shows an electronic device 500 (eg, Figure 1 A schematic diagram of the structure of the server in FIG. Figure 5 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0092] like Figure 5 As shown, the electronic device 500 may include a processing device 501 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 502 or a program loaded from a storage device 508 into a random access memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the electronic device 500 are also stored. The processing device 501, the ROM 502, and the RAM 503 are connected to each other via a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.

[0093] Typically, the following devices may be connected to the I / O interface 505: an input device 506 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 507 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 508 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 509. The communication device 509 may allow the electronic device 500 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 5The electronic device 500 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead. Figure 5 Each block shown in the figure may represent one device, or may represent multiple devices as required.

[0094] In particular, according to some embodiments of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, some embodiments of the present disclosure include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In some such embodiments, the computer program can be downloaded and installed from the network through the communication device 509, or installed from the storage device 508, or installed from the ROM 502. When the computer program is executed by the processing device 501, the above-mentioned functions defined in the method of some embodiments of the present disclosure are executed.

[0095] It should be noted that the computer-readable medium recorded in some embodiments of the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-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 of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer 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. In some embodiments of the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In some embodiments of the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer 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. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0096] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0097] The computer-readable medium may be included in the electronic device; or it may exist independently without being installed in the electronic device. The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device: generates weight information of each influencing factor information in the influencing factor information set according to the influencing factor information set corresponding to the sorting business; obtains a parameter information set corresponding to the sorting task collection request in response to receiving a sorting task collection request from a corresponding sorting user sent by a picking terminal device; generates sorting prompt probability information corresponding to the parameter information set according to each weight information corresponding to the influencing factor information set; generates sorting prompt information in response to determining that the sorting prompt probability information meets the preset prompt condition; and sends the sorting prompt information and the sorting task information corresponding to the sorting task collection request to the picking terminal device.

[0098] Computer program code for performing the operations of some embodiments of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0099] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0100] The units described in some embodiments of the present disclosure may be implemented by software or by hardware. The described units may also be arranged in a processor, for example, may be described as: a processor includes a first generation unit, an acquisition unit, a second generation unit, a third generation unit and a sending unit. The names of these units do not constitute a limitation on the units themselves in certain cases, for example, the first generation unit may also be described as "a unit that generates weight information of each influencing factor information in the above influencing factor information set according to the influencing factor information set corresponding to the sorting business".

[0101] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0102] Some embodiments of the present disclosure further provide a computer program product, including a computer program, which implements any of the above-mentioned methods for sending sorting prompt information when executed by a processor.

[0103] The above descriptions are only some preferred embodiments of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solutions formed by a specific combination of the above-mentioned technical features, but should also cover other technical solutions formed by any combination of the above-mentioned technical features or their equivalent features without departing from the above-mentioned inventive concept. For example, the above-mentioned features are replaced with the technical features with similar functions disclosed in the embodiments of the present disclosure (but not limited to) and the technical solutions formed.

Claims

1. A method for sending sorting prompt information, comprising: Generate weight information of each influencing factor information in the influencing factor information set according to the influencing factor information set corresponding to the sorting business; In response to receiving a sorting task receiving request from a corresponding sorting user sent by a picking terminal device, obtaining a parameter information set corresponding to the sorting task receiving request; Generating sorting prompt probability information corresponding to the parameter information set according to each weight information corresponding to the influencing factor information set; In response to determining that the sorting prompt probability information meets a preset prompt condition, generating sorting prompt information; The sorting prompt information and the sorting task information corresponding to the sorting task collection request are sent to the picking terminal device.

2. The method according to claim 1, wherein: The obtaining of a parameter information set corresponding to the sorting task pick-up request includes: Acquire each user parameter information corresponding to the sorting user as each parameter information; Acquire each sorting task parameter information corresponding to the sorting task claim request as each parameter information; The acquired individual parameter information is determined as a parameter information set.

3. The method according to claim 1, wherein: Generating the sorting prompt probability information corresponding to the parameter information set according to each weight information corresponding to the influencing factor information set includes: Determine, according to the respective weight information, the weight information corresponding to each parameter information in the parameter information set; The sorting prompt probability information is generated according to each weight information corresponding to each parameter information in the parameter information set.

4. The method according to claim 3, wherein: The generating of the sorting prompt information comprises: Sorting each weight information corresponding to each parameter information in the parameter information set to obtain a weight information sequence; Selecting a preset number of weight information from the weight information sequence as a target weight information set; Sorting prompt information is generated according to the target weight information set.

5. The method according to claim 3, wherein: The generating of sorting prompt probability information according to each weight information corresponding to each parameter information in the parameter information set includes: The sum of each weight information corresponding to each parameter information in the parameter information set is determined as the sorting prompt probability information.

6. The method according to claim 1, wherein: The step of generating weight information of each influencing factor information in the influencing factor information set according to the influencing factor information set corresponding to the sorting service includes: Determine a judgment matrix corresponding to the influencing factor information set; In response to determining that the judgment matrix satisfies a first preset consistency condition, generating initial weight information of each influencing factor information in the influencing factor information set; Determine each lower-level judgment matrix corresponding to the influencing factor information set; Determining, according to each lower layer judgment matrix and each generated initial weight information, whether each lower layer judgment matrix and each initial weight information meet a second preset consistency condition; In response to determining that each lower-layer judgment matrix and each initial weight information satisfy the second preset consistency condition, each initial weight information is determined as weight information corresponding to each influencing factor information in the influencing factor information set.

7. A sorting prompt information sending device, comprising: A first generating unit is configured to generate weight information of each influencing factor information in the influencing factor information set according to the influencing factor information set corresponding to the sorting service; an acquisition unit, configured to, in response to receiving a sorting task collection request of a corresponding sorting user sent by a picking terminal device, acquire a parameter information set corresponding to the sorting task collection request; A second generating unit is configured to generate sorting prompt probability information corresponding to the parameter information set according to each weight information corresponding to the influencing factor information set; a third generating unit, configured to generate sorting prompt information in response to determining that the sorting prompt probability information satisfies a preset prompt condition; The sending unit is configured to send the sorting prompt information and the sorting task information corresponding to the sorting task collection request to the picking terminal device.

8. An electronic device comprising: one or more processors; a storage device having one or more programs stored thereon, When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 6.

9. A computer readable medium having a computer program stored thereon, wherein: When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, which, when executed by a processor, implements the method according to any one of claims 1 to 6.

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