CN116862215A

CN116862215A - Information processing method, warehouse control system, equipment and storage medium

Info

Publication number: CN116862215A
Application number: CN202310786926.7A
Authority: CN
Inventors: 雒晓林; 童月红; 康舒新; 刘庆华; 蔡伟
Original assignee: Beijing Jingdong Qianshi Technology Co Ltd
Current assignee: Beijing Jingbangda Trade Co Ltd; Beijing Jingdong Qianshi Technology Co Ltd
Priority date: 2023-06-29
Filing date: 2023-06-29
Publication date: 2023-10-10

Abstract

The disclosure provides an information processing method, a warehouse control system, equipment and a storage medium, which can be applied to the fields of intelligent logistics and big data. The information processing method comprises the following steps: updating flow node parameters in task flow topology information according to task attribute information to obtain updated target task flow topology information, wherein the task flow topology information comprises at least one flow node; generating a task execution message suitable for controlling target equipment according to the target task flow topology information; and sending a task execution message to a task execution device associated with the target equipment so that the task execution device controls the target equipment to execute the target task associated with the target task flow topology information according to the task execution message.

Description

Information processing method, warehouse control system, equipment and storage medium

Technical Field

The present disclosure relates to the field of smart logistics and big data, and more particularly, to an information processing method, a warehouse control system, an apparatus, a storage medium, and a program product.

Background

Along with the rapid development of science and technology, in scenes such as warehouse logistics, intelligent equipment manufacturing, relevant enterprises or institutions can improve operation and production efficiency through intelligent operation equipment such as intelligent sensors, intelligent warehouse robots, intelligent express delivery vehicles, intelligent inspection robots and the like. For example, the intelligent logistics operation device can execute corresponding operation instructions based on the received messages so as to realize automatic and efficient logistics operation.

In the process of implementing the disclosed concept, the inventor finds that at least the following problems exist in the related art: along with the rapid increase of the number of the operation devices in the related operation scene, the device types of the operation devices are diversified, and the task flow of the operation task is complicated, which can influence the execution efficiency of the operation task and the operation efficiency as a whole.

Disclosure of Invention

In view of this, the present disclosure provides an information processing method, system, apparatus, storage medium, and program product.

One aspect of the present disclosure provides an information processing method including:

updating flow node parameters in task flow topology information according to task attribute information to obtain updated target task flow topology information, wherein the task flow topology information comprises at least one flow node;

generating a task execution message suitable for controlling target equipment according to the target task flow topology information; and

and sending the task execution message to a task execution device related to the target equipment so that the task execution device controls the target equipment to execute the target task related to the target task flow topology information according to the task execution message.

According to an embodiment of the present disclosure, the task attribute information includes resource attribute information related to the target task, the resource attribute information being adapted to indicate task resources related to the target task;

wherein, updating the flow node parameters in the task flow topology information according to the task attribute information to obtain updated target task flow topology information includes:

determining a flow node to be updated from the task flow topology information according to the resource attribute type of the resource attribute information; and

and updating the flow node parameters of the flow nodes to be updated in the task flow topology information according to the resource attribute information to obtain updated target task flow topology information.

According to an embodiment of the present disclosure, the above-mentioned resource attribute information includes at least one of:

task execution device information, task execution path information, and article attribute information of the article to be conveyed.

According to an embodiment of the present disclosure, the above-described target task includes a plurality of;

the information processing method further comprises the following steps:

acquiring task execution strategy information related to the task attribute information;

wherein, generating a task execution message suitable for controlling the target device according to the target task flow topology information includes:

Generating initial task execution instructions corresponding to a plurality of target tasks respectively according to the target task flow topology information;

updating task execution parameters of a plurality of initial task execution instructions according to the task execution strategy information to obtain a plurality of target task execution instructions; and

and generating the task execution message according to a plurality of target task execution instructions.

According to an embodiment of the present disclosure, the information processing method further includes:

and controlling the target equipment to execute a plurality of target tasks according to the target task flow topology information and the task execution strategy information.

responding to node updating operation of a flow node assembly in an interactive interface, and updating initial task flow topology information according to node assembly information of the flow node assembly to obtain updated task flow topology information; and

and generating a task flow topological structure in the interactive interface according to the task flow topological information.

According to an embodiment of the present disclosure, the task flow topology information includes task flow nodes, and the task flow topology structure includes task flow node objects corresponding to the task flow nodes;

The information processing method further comprises the following steps:

acquiring task feedback information related to the target task;

determining a target feedback task flow node related to the task feedback information from the target task flow topology information; and

and generating a floating window suitable for displaying the task feedback information in a flow node feedback area in the interactive interface, wherein the flow node feedback area is an area corresponding to a target feedback task flow node object related to the target feedback task flow node.

According to an embodiment of the present disclosure, the task attribute information further includes task change information;

the information processing method further comprises the following steps:

generating a task change message related to the target equipment according to the task change information; and

and the task execution device related to the target equipment sends the task change message so that the task execution device controls the target equipment to execute the target task according to the task change message.

Another aspect of the present disclosure provides a warehouse control system, comprising:

the first updating module is used for updating flow node parameters in the task flow topology information according to the task attribute information to obtain updated target task flow topology information, wherein the task flow topology information comprises at least one flow node;

The task execution message generation module is used for generating a task execution message suitable for controlling target equipment according to the target task flow topology information; and

and the sending module is used for sending the task execution message to a task execution device related to the target equipment so that the task execution device controls the target equipment to execute the target task related to the target task flow topology information according to the task execution message.

Another aspect of the present disclosure provides an electronic device, comprising:

one or more processors;

a memory for storing one or more programs,

wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the methods as described above.

Another aspect of the present disclosure provides a computer-readable storage medium storing computer-executable instructions that, when executed, are configured to implement a method as described above.

Another aspect of the present disclosure provides a computer program product comprising computer executable instructions which, when executed, are for implementing a method as described above.

According to the embodiment of the disclosure, the process node parameters in the task flow topology information are updated according to the task attribute information, fine-granularity parameter adjustment can be performed on the process nodes in the task execution flow, so that the obtained target task flow topology information can simultaneously meet task execution logic of task execution and task attributes in the task execution process, remote control of target equipment can be realized based on the task execution message by generating the task execution message according to the target task flow topology information, target tasks can be executed according to the target task flow topology information, the target equipment can execute the target tasks according to the updated target task flow topology fine granularity, control precision of the target equipment is improved, target task execution accuracy is improved, and further the technical effect of improving task execution efficiency is achieved.

Drawings

The above and other objects, features and advantages of the present disclosure will become more apparent from the following description of embodiments thereof with reference to the accompanying drawings in which:

fig. 1 schematically illustrates an exemplary system architecture to which an information processing method, a warehouse control system, may be applied in accordance with an embodiment of the present disclosure.

Fig. 2 schematically shows a flowchart of an information processing method according to an embodiment of the present disclosure.

Fig. 3 schematically illustrates a flowchart of generating a task execution message suitable for controlling a target device according to target task flow topology information according to an embodiment of the present disclosure.

Fig. 4 schematically illustrates an application scenario diagram of an information processing method according to an embodiment of the present disclosure.

Fig. 5 schematically illustrates an application scenario diagram of an information processing method according to another embodiment of the present disclosure.

Fig. 6 schematically illustrates a block diagram of a warehouse control system according to an embodiment of the present disclosure.

Fig. 7 schematically illustrates a block diagram of an electronic device adapted to implement an information processing method according to an embodiment of the disclosure.

Detailed Description

Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is only exemplary and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. In addition, in the following description, descriptions of well-known structures and techniques are omitted so as not to unnecessarily obscure the concepts of the present disclosure.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and/or the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.

All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It should be noted that the terms used herein should be construed to have meanings consistent with the context of the present specification and should not be construed in an idealized or overly formal manner.

Where expressions like at least one of "A, B and C, etc. are used, the expressions should generally be interpreted in accordance with the meaning as commonly understood by those skilled in the art (e.g.," a system having at least one of A, B and C "shall include, but not be limited to, a system having a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).

In embodiments of the present disclosure, the collection, updating, analysis, processing, use, transmission, provision, disclosure, storage, etc., of the data involved (including, but not limited to, user personal information) all comply with relevant legal regulations, are used for legal purposes, and do not violate well-known. In particular, necessary measures are taken for personal information of the user, illegal access to personal information data of the user is prevented, and personal information security, network security and national security of the user are maintained.

In embodiments of the present disclosure, the user's authorization or consent is obtained before the user's personal information is obtained or collected.

Along with the rapid development of science and technology, in scenes such as warehouse logistics, intelligent equipment manufacturing, relevant enterprises or institutions can improve operation and production efficiency through intelligent operation equipment such as intelligent sensors, intelligent warehouse robots, intelligent express delivery vehicles, intelligent inspection robots and the like. However, the execution of the logistics operation generally requires upstream and downstream operation tasks to related operation equipment, and as the tasks are complicated and diversified, the attribute structure, task scheduling policy, task execution method, task process and other task attribute information of the operation tasks are greatly different, standardized configuration of the operation tasks of the logistics operation is difficult, the operation efficiency is low, the operation task execution precision is low,

embodiments of the present disclosure provide an information processing method, system, device, storage medium, and program product. The information processing method comprises the following steps: updating flow node parameters in task flow topology information according to task attribute information to obtain updated target task flow topology information, wherein the task flow topology information comprises at least one flow node; generating a task execution message suitable for controlling target equipment according to the target task flow topology information; and sending a task execution message to a task execution device associated with the target equipment so that the task execution device controls the target equipment to execute the target task associated with the target task flow topology information according to the task execution message.

Fig. 1 schematically illustrates an exemplary system architecture 100 to which an information handling method, a warehouse control system, may be applied in accordance with an embodiment of the present disclosure. It should be noted that fig. 1 is only an example of a system architecture to which embodiments of the present disclosure may be applied to assist those skilled in the art in understanding the technical content of the present disclosure, but does not mean that embodiments of the present disclosure may not be used in other devices, systems, environments, or scenarios.

As shown in fig. 1, a system architecture 100 according to this embodiment may include terminal devices 101, 102, 103, a network 104, a server 105, and a job device 110. The network 104 is used as a medium to provide communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired and/or wireless communication links, and the like.

The user may interact with the server 105 via the network 104 using the terminal devices 101, 102, 103 to receive or send messages or the like. Various communication client applications may be installed on the terminal devices 101, 102, 103, such as shopping class applications, web browser applications, search class applications, instant messaging tools, mailbox clients and/or social platform software, to name a few.

The terminal devices 101, 102, 103 may be a variety of electronic devices having a display screen and supporting web browsing, including but not limited to smartphones, tablets, laptop and desktop computers, and the like.

The server 105 may be a server providing various services, such as a background management server (by way of example only) providing support for websites browsed by users using the terminal devices 101, 102, 103. The background management server may analyze and process the received data such as the user request, and feed back the processing result (e.g., the web page, information, or data obtained or generated according to the user request) to the terminal device.

The work equipment 110 may be a logistics work equipment with communication functions, such as an intelligent robot, an unmanned logistics vehicle, etc. Work device 110 may be communicatively coupled to server 105 via network 104, and accordingly work device 110 may also be communicatively coupled to any one or more of terminal devices 101, 102, 103 via network 104 to facilitate performing work tasks in accordance with task execution messages.

It should be noted that, the information processing method provided by the embodiment of the present disclosure may be generally executed by the server 105. Accordingly, the warehouse control system provided by embodiments of the present disclosure may generally be provided in the server 105. The information processing method provided by the embodiments of the present disclosure may also be performed by a server or a server cluster that is different from the server 105 and is capable of communicating with the terminal devices 101, 102, 103 and/or the server 105. Accordingly, the warehouse control system provided by the embodiments of the present disclosure may also be provided in a server or server cluster that is different from the server 105 and that is capable of communicating with the terminal devices 101, 102, 103 and/or the server 105. Alternatively, the information processing method provided by the embodiment of the present disclosure may be performed by the terminal apparatus 101, 102, or 103, or may be performed by another terminal apparatus other than the terminal apparatus 101, 102, or 103. Accordingly, the warehouse control system provided in the embodiments of the present disclosure may also be provided in the terminal device 101, 102, or 103, or in another terminal device different from the terminal device 101, 102, or 103.

It should be understood that the number of terminal devices, networks, servers, and work devices in fig. 1 are merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

As shown in fig. 2, the information processing method includes operations S210 to S230.

In operation S210, the process node parameters in the task process topology information are updated according to the task attribute information, so as to obtain updated target task process topology information, where the task process topology information includes at least one process node.

According to an embodiment of the present disclosure, the task attribute information may be information indicating a task type, a task occupation resource, etc. related to a process of executing a task. The embodiment of the present disclosure does not limit the specific type of the task attribute information, and those skilled in the art may select according to actual requirements.

According to embodiments of the present disclosure, task flow topology information is adapted to indicate task execution flows, for example, execution flows related to tasks may be indicated based on flow nodes in the task flow topology information and side relationships between the flow nodes. The process node parameters are updated through the task attribute information, so that the target process node in the updated target task process topology information has the task attribute corresponding to the task attribute, and the execution process of the subsequent target task is indicated in a fine granularity.

It should be noted that, the target task flow topology information may be tree topology information, but not limited to this, and may also include ring topology information, star topology information, etc., and the specific topology shape of the target task flow topology information is not limited in the embodiments of the present disclosure, and may be selected by those skilled in the art according to actual needs.

In operation S220, a task execution message suitable for controlling the target device is generated according to the target task flow topology information.

In operation S230, a task execution message is sent to the task execution device associated with the target apparatus so that the task execution device controls the target apparatus to execute the target task associated with the target task flow topology information according to the task execution message.

According to an embodiment of the disclosure, the task execution device may be a task execution module installed in the target device, and the task execution device may include, for example, a communication unit and a processor unit, so as to receive a task execution message, and control the target device to execute the target task according to the analyzed target task flow topology information.

According to an embodiment of the present disclosure, the task execution device may be an edge communication device adapted to control a plurality of target devices, for example, the task execution device may send task flow node execution instructions to the target devices based on the parsed target task flow topology information, so as to control one or more target devices to execute the target task according to the target task flow topology information.

According to the embodiment of the disclosure, the target task flow topology information can be packaged based on any type of protocol, so that the task execution device can analyze the target task flow topology information, and further the target equipment can execute the target task according to the target task flow topology information, and high-precision execution of the target task is realized.

It should be noted that, in the embodiment of the present disclosure, the number of the generated task execution messages is not limited, for example, the complete target task flow topology information may be encapsulated into the same task execution message, and the task execution message may be sent to one or more task execution devices.

For another example, part of the topology information in the target task flow topology information may be encapsulated into task execution messages, so as to obtain a plurality of task execution messages suitable for characterizing the target task flow topology information. Therefore, the task execution device can generate corresponding task flow node execution instructions according to the task execution message, and control one or more target devices to execute target tasks according to the task flow node execution instructions.

According to an embodiment of the present disclosure, the task attribute information includes resource attribute information related to the target task, the resource attribute information being adapted to indicate task resources related to the target task.

According to embodiments of the present disclosure, a task resource may be any type of resource associated with performing a task. For example, may be a communication bandwidth resource, a job area resource, a job equipment resource, and so on. Embodiments of the present disclosure do not limit the specific resource types of task resources.

According to an embodiment of the present disclosure, in operation S210, updating flow node parameters in task flow topology information according to task attribute information, and obtaining updated target task flow topology information includes the following operations.

Determining a flow node to be updated from task flow topology information according to the resource attribute type of the resource attribute information; and updating the flow node parameters of the flow nodes to be updated in the task flow topology information according to the resource attribute information to obtain updated target task flow topology information.

According to embodiments of the present disclosure, the resource attribute information may be information related to attributes such as a resource name, a resource type, and the like, which are related to the resource. The resource attribute type may be a node subtask type for indicating a flow node, for example, the resource attribute type may be a device identifier and a device type of a target device, and the transport mobile flow node in the task flow topology information may be indicated according to the device identifier and the device type.

According to the embodiment of the disclosure, the process node parameters of the process node to be updated in the task process topology information are updated according to the resource attribute information, for example, the process node parameters may be updated according to the target equipment resource attribute information such as the equipment identifier, the equipment model, the equipment running state and the like related to the target equipment resource in the resource attribute information, so that the process node is configured according to the resource attribute information, so that the corresponding subtasks can be executed according to the updated target process node, and further the target equipment can execute the subtasks in a fine granularity according to the target task process topology information containing the updated target process node, thereby realizing the execution of the target task.

According to an embodiment of the present disclosure, the resource attribute information includes at least one of: task execution device information, task execution path information, and article attribute information of the article to be conveyed.

According to an embodiment of the present disclosure, the task execution device information may be information related to a target device corresponding to execution of a target task, such as a device identification, a device type, and the like.

According to an embodiment of the present disclosure, the task execution path information may include a path that the target device needs to occupy to execute the task, and the task execution path information may include, for example, an occupied logistic roadway, a picking point, a coordinate point of a storage space, and the like. By respectively updating the flow node parameters corresponding to the flow nodes according to the task execution path information, the job paths can be planned in a fine granularity at the subtask execution stage of the target task, and the task execution efficiency is prevented from being reduced due to the task execution path conflict among a plurality of devices.

According to the embodiment of the present disclosure, the article attribute information of the conveyed article may be, for example, any information related to the conveyed article, such as the number, size, position, and the like of the conveyed articles. The process node parameters are updated through the article attribute information of the article to be carried, so that the article to be carried and the target process node can be bound, related operation tasks are prevented from being executed for the same article to be carried, and operation task conflicts are reduced.

According to embodiments of the present disclosure, the target task may include a plurality of tasks.

According to an embodiment of the present disclosure, the information processing method may further include: task execution policy information associated with the task attribute information is acquired.

According to embodiments of the present disclosure, task execution policy information may be used to schedule multiple target tasks. For example, when the plurality of target tasks are a plurality of outbound tasks, the task execution policy information can be used for selecting a preset number of target devices to execute the outbound tasks in parallel according to a preset policy, and the plurality of target devices can be controlled to execute the target tasks according to the execution sequence in sequence according to the task execution policy information at preset time intervals, so that the execution efficiency of the target tasks is improved.

According to embodiments of the present disclosure, the task execution policy package may be edited based on the format specification of the relevant component or plug-in, thereby obtaining task execution policy information. Correspondingly, task policy details can be configured for the task execution policy package, for example, configuration parameters of which task types the policy package is applied to are configured to realize the task type of configuring the application policy package, so that the target task of the same task type is bound with the task execution policy package. Meanwhile, the configurable parameters of the task execution strategy package can be set, so that related business personnel can finish the modification of the task strategy execution information under the condition of not editing codes, and the task execution strategy information is more in line with the actual business scene.

As shown in fig. 3, generating a task execution message suitable for controlling the target device according to the target task flow topology information includes operations S310 to S330.

In operation S310, initial task execution instructions corresponding to each of the plurality of target tasks are generated according to the target task flow topology information.

In operation S320, task execution parameters of the plurality of initial task execution instructions are updated according to the task execution policy information, so as to obtain a plurality of target task execution instructions.

In operation S330, a task execution message is generated according to the plurality of target task execution instructions.

According to an embodiment of the present disclosure, the task execution parameters may include task execution time, task execution completion conditions, execution speed of the job task, and other configurable task execution information. The obtained target task execution instruction can be caused by updating the task execution parameters of the initial task execution instruction according to the task execution policy information.

According to an embodiment of the present disclosure, the task execution parameters of the initial task execution instruction are updated according to the task execution policy information, and the task policy information may be mapped to target flow node parameters in the initial task execution instruction, for example, an update operation speed parameter of the target flow node, a flow node start parameter of the target flow node, a flow node stop condition, and the like. The target flow node parameters in the initial task execution instruction are updated in a fine granularity mode, so that the execution process of a plurality of target tasks can be further finely scheduled, the execution efficiency of the target tasks is improved, and the technical effect of improving the overall efficiency of the operation is achieved.

According to an embodiment of the present disclosure, the information processing method may further include the following operations.

According to the embodiment of the disclosure, the task instruction for controlling the target device to execute the target task can be generated according to the target task flow topology information and the task execution strategy information, so that the target device is directly controlled to execute the target task according to the task instruction under the condition that the task execution device does not transmit the task execution message, the problems of occupied communication network bandwidth, communication delay and the like generated by message transmission are reduced, and the execution efficiency of the target task is improved.

Responding to node updating operation aiming at a flow node assembly in the interactive interface, updating initial task flow topology information according to node assembly information of the flow node assembly, and obtaining updated task flow topology information; and generating a task flow topological structure in the interactive interface according to the task flow topological information.

As shown in fig. 4, an interactive interface 400 may be included in the application scenario. The flow topology editing area Z410 in the interactive interface 400 shows the initial task flow topology structure corresponding to the initial task flow topology information. The initial task flow topology can include initial flow node objects 401, 411, 412, 413, 414, and 402.

Based on the task flow topology structure, the first personnel can clearly know each node related to the task execution flow, namely, the ex-warehouse starting point of the target equipment can be controlled through the initial flow node corresponding to the initial flow node object 401. And taking up the empty trays for ex-warehouse through the initial flow nodes corresponding to the initial flow node objects 411, namely taking up task execution equipment resources through the initial flow node objects 411. The transport loop resources are occupied by the initial flow node corresponding to the initial flow node object 412. The resource of the goods a is occupied by the initial flow node corresponding to the initial flow node object 413, that is, the goods a to be carried are occupied by the initial flow node object 413. And controlling the pallet to load the goods A to be conveyed to the temporary storage point through the initial flow node corresponding to the initial flow node object 414. And controlling the pallet loading goods A to be conveyed to the ending point of the ex-warehouse task through the initial flow node corresponding to the initial flow node object 402.

As shown in fig. 4, the user may drag the first flow node component 411 'in the interactive interface 400 to a position at least partially coinciding with the initial flow node object 411, so as to update the node component information corresponding to the initial flow node object 411 in the initial task flow topology information according to the node component information corresponding to the first flow node component 411', and further generate the node object corresponding to the initial flow node object 411 in the interactive interface 400.

As shown in fig. 4, the user may drag the second flow node component 412' in the interactive interface 400 to a position at least partially overlapped with the initial flow node component 412, so as to update the node component information corresponding to the initial flow node component 412 in the initial task flow topology information according to the node component information corresponding to the second flow node component 412', and further generate the flow node object corresponding to the second flow node component 412' in the interactive interface 400.

From the flow node objects corresponding to the first flow node component 411 'and the flow node objects corresponding to the second flow node component 412', an updated task flow topology may be generated in the interactive interface 400.

According to the embodiment of the disclosure, the user performs node updating operation on the flow node component in the interactive interface to update the initial task flow topology information, so that the user can conveniently change the execution flow of the job task based on the actual job requirement under the condition of not editing codes, the task flow topology information obtained after updating can be adapted to the actual job task requirement in the job scene, and the fine-granularity editing effect on the job task flow is improved.

According to an embodiment of the disclosure, the task flow topology information includes task flow nodes, and the task flow topology structure includes task flow node objects corresponding to the task flow nodes.

It should be understood that the updated target task flow topology information may also include target task flow nodes accordingly, and the target task flow topology structure corresponding to the target task flow topology information may also include target task flow node objects corresponding to the target task flow nodes accordingly.

Acquiring task feedback information related to a target task; determining target feedback task flow nodes related to task feedback information from target task flow topology information; and generating a floating window suitable for displaying task feedback information in a flow node feedback area in the interactive interface, wherein the flow node feedback area is an area corresponding to a target feedback task flow node object related to the target feedback task flow node.

According to embodiments of the present disclosure, task feedback information may be used to indicate a subtask execution state corresponding to a target flow node. For example, subtask execution status of the target flow node may be indicated as in subtask execution, subtask execution completed, and so on. Alternatively, the task feedback information may be used to indicate actual execution information of the subtasks corresponding to the target flow node, for example, the task feedback information may indicate a real-time loading amount of the transported articles of the target flow node, or the like. The embodiment of the disclosure does not limit the specific information type of the task feedback information, and a person skilled in the art can select the specific information type according to actual requirements.

As shown in fig. 5, an interactive interface 500 may be included in the application scenario. The interactive interface 500 displays a topology structure corresponding to the target task flow topology information and corresponding to the target task flow topology information. The target task flow topology can include target flow node objects 501, 511, 512, 513, 514, and 502.

The intelligent robot can execute the ex-warehouse task (target task) according to the work flow logic of the target task flow topology information after receiving the task execution message containing the target task flow topology information. Under the condition that task feedback information related to a job to be delivered is received, the target task flow topology information corresponding to the target equipment identifier can be determined based on the target equipment identifier contained in the task feedback information, and then a floating window suitable for displaying the task feedback information can be generated in a target task flow topology structure corresponding to the target task flow topology information.

For example, a floating window C511 of the first task feedback information may be generated in the flow node feedback area corresponding to the target flow node object 511 in the interactive interface 500 according to the first task feedback information. Therefore, the user can clearly know the task execution state of the target task through the floating window C511 of the first task feedback information, namely, know the successful subtask execution completion state occupied by the occupied intelligent robot.

For another example, a floating window C513 of the second task feedback information may also be generated in the flow node feedback area corresponding to the target flow node object 513 in the interactive interface 500 according to the second task feedback information. Therefore, the user can clearly know the task execution state of the target task through the floating window C513 of the second task feedback information, namely, the intelligent robot is known to have 10 devices corresponding to the carried goods A.

It should be appreciated that the target process nodes corresponding to each of target process node objects 511 and 513 may be target feedback task process nodes.

According to the embodiment of the disclosure, the floating window suitable for displaying the task feedback information can be rendered in real time in the interactive interface according to the received task feedback information, so that related personnel can clearly know the subtask execution state of the target task at each flow node, the monitoring refinement degree and the real-time performance of the execution process of the target task are improved, and the task management level of the job task is improved.

In another embodiment of the present disclosure, task feedback information of each of the plurality of target tasks may also be presented in the interactive interface in a form of a graph. For example, a graph related to the target process node in the target task process topology information can be constructed to clearly display task feedback information related to the target feedback task process node, so that the data size of the displayed task feedback information in the interactive interface is improved.

According to an embodiment of the present disclosure, the task attribute information may further include task change information.

According to embodiments of the present disclosure, the task change information may be related to an event type of the task, for example, may be a task cancel event, a task pause time, a task restart event, and the like. The embodiment of the present disclosure does not limit the specific event type of the task change information, and those skilled in the art may select according to actual requirements.

Generating a task change message related to the target equipment according to the task change information; and the task execution device related to the target equipment sends a task change message so that the task execution device controls the target equipment to execute the target task according to the task change message.

According to embodiments of the present disclosure, a task cancellation event may refer to a target task suspending execution of a task before completion of execution. The target task flow topology information can be updated by setting the cancellation condition information corresponding to the task cancellation event so that the target device can cancel the execution of the target task according to the cancellation condition information.

According to the embodiment of the disclosure, the task change information may also be a process node change condition that can be triggered by the target task in the execution process, for example, a process node change condition that changes an end point of the outbound task, changes the number of goods of the goods to be carried, and the like, so that the target device can automatically adjust the process node execution condition of the target task in real time according to the process node change condition.

According to the embodiment of the disclosure, the task change information can be obtained after being configured by related personnel in the execution process of the target task, so as to adjust the execution flow of the target task in real time, and improve the flexibility degree and the intelligent level of the execution of the target task.

As shown in fig. 6, the warehouse control system 600 includes a first update module 610, a task execution message generation module 620, and a send module 630.

The first update module 610 is configured to update flow node parameters in task flow topology information according to task attribute information, to obtain updated target task flow topology information, where the task flow topology information includes at least one flow node;

the task execution message generating module 620 is configured to generate a task execution message applicable to control a target device according to the target task flow topology information; and

the sending module 630 is configured to send a task execution packet to a task execution device associated with the target device, so that the task execution device controls the target device to execute the target task associated with the target task flow topology information according to the task execution packet.

Wherein the first update module comprises: a first determination unit and a first update unit.

The first determining unit is used for determining a flow node to be updated from task flow topology information according to the resource attribute type of the resource attribute information.

The first updating unit is used for updating the flow node parameters of the flow nodes to be updated in the task flow topology information according to the resource attribute information to obtain updated target task flow topology information.

According to an embodiment of the present disclosure, the target task includes a plurality of.

The warehouse control system also comprises a task execution strategy information acquisition module.

The task execution policy information acquisition module is used for acquiring task execution policy information related to the task attribute information.

The task execution message generation module comprises: the system comprises an initial task execution instruction generation unit, a target task execution instruction acquisition unit and a task execution message generation unit.

The initial task execution instruction generating unit is used for generating initial task execution instructions corresponding to the target tasks respectively according to the target task flow topology information.

The target task execution instruction obtaining unit is used for updating task execution parameters of a plurality of initial task execution instructions according to the task execution policy information to obtain a plurality of target task execution instructions.

The task execution message generating unit is used for generating a task execution message according to the target task execution instructions.

According to an embodiment of the present disclosure, the warehouse control system further includes a task execution module.

The task execution module is used for controlling the target equipment to execute a plurality of target tasks according to the target task flow topology information and the task execution strategy information.

According to an embodiment of the present disclosure, the warehouse control system further includes: and the second updating module and the task flow topological structure generation module.

The second updating module is used for responding to the node updating operation of the flow node assembly in the interactive interface, updating the initial task flow topology information according to the node assembly information of the flow node assembly, and obtaining updated task flow topology information.

The task flow topological structure generation module is used for generating a task flow topological structure in the interactive interface according to the task flow topological information.

According to an embodiment of the present disclosure, the task flow topology information includes task flow nodes, and the task flow topology structure includes task flow node objects corresponding to the task flow nodes.

The warehouse control system further comprises: the system comprises a task feedback information acquisition module, a target feedback task flow node determination module and a floating window generation module.

The task feedback information acquisition module is used for acquiring task feedback information related to a target task.

The target feedback task flow node determining module is used for determining target feedback task flow nodes related to task feedback information from the target task flow topology information.

The floating window generation module is used for generating a floating window suitable for displaying task feedback information in a flow node feedback area in the interactive interface, wherein the flow node feedback area is an area corresponding to a target feedback task flow node object related to a target feedback task flow node.

the warehouse control system further comprises: the task change message generation module and the task change message sending module.

The task change message generation module is used for generating a task change message related to the target equipment according to the task change information.

The task change message sending module is used for sending a task change message to a task execution device related to the target equipment so that the task execution device can control the target equipment to execute the target task according to the task change message.

Any number of the modules, units, sub-units, or at least some of the functionality of any number of the modules, units, sub-units, or sub-units according to embodiments of the present disclosure may be implemented in one module. Any one or more of the modules, units, sub-units according to embodiments of the present disclosure may be implemented as split into multiple modules. Any one or more of the modules, units, sub-units according to embodiments of the present disclosure may be implemented at least in part as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or in hardware or firmware in any other reasonable manner of integrating or packaging the circuits, or in any one of or in any suitable combination of three of software, hardware, and firmware. Alternatively, one or more of the modules, units, sub-units according to embodiments of the disclosure may be at least partially implemented as computer program modules, which when executed, may perform the corresponding functions.

For example, any of the first updating module 610, the task execution message generating module 620, and the transmitting module 630 may be combined in one module/unit/sub-unit, or any of the modules/units/sub-units may be split into a plurality of modules/units/sub-units. Alternatively, at least some of the functionality of one or more of these modules/units/sub-units may be combined with at least some of the functionality of other modules/units/sub-units and implemented in one module/unit/sub-unit. According to embodiments of the present disclosure, at least one of the first update module 610, the task execution message generation module 620, and the send module 630 may be implemented at least in part as hardware circuitry, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in hardware or firmware in any other reasonable way of integrating or packaging circuitry, or in any one of or a suitable combination of three of software, hardware, and firmware. Alternatively, at least one of the first update module 610, the task execution message generation module 620, and the transmission module 630 may be at least partially implemented as a computer program module that, when executed, performs the corresponding functions.

It should be noted that, in the embodiment of the present disclosure, the storage control system portion corresponds to the information processing method portion in the embodiment of the present disclosure, and the description of the storage control system portion specifically refers to the information processing method portion and is not described herein again.

Fig. 7 schematically illustrates a block diagram of an electronic device adapted to implement an information processing method according to an embodiment of the disclosure. The electronic device shown in fig. 7 is merely an example and should not be construed to limit the functionality and scope of use of the disclosed embodiments.

As shown in fig. 7, an electronic device 700 according to an embodiment of the present disclosure includes a processor 701 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 702 or a program loaded from a storage section 708 into a Random Access Memory (RAM) 703. The processor 701 may include, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or an associated chipset and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), or the like. The processor 701 may also include on-board memory for caching purposes. The processor 701 may comprise a single processing unit or a plurality of processing units for performing different actions of the method flows according to embodiments of the disclosure.

In the RAM 703, various programs and data necessary for the operation of the electronic apparatus 700 are stored. The processor 701, the ROM 702, and the RAM 703 are connected to each other through a bus 704. The processor 701 performs various operations of the method flow according to the embodiments of the present disclosure by executing programs in the ROM 702 and/or the RAM 703. Note that the program may be stored in one or more memories other than the ROM 702 and the RAM 703. The processor 701 may also perform various operations of the method flow according to embodiments of the present disclosure by executing programs stored in the one or more memories.

According to an embodiment of the present disclosure, the electronic device 700 may further include an input/output (I/O) interface 705, the input/output (I/O) interface 705 also being connected to the bus 704. The system 700 may also include one or more of the following components connected to an input/output (I/O) interface 705: an input section 706 including a keyboard, a mouse, and the like; an output portion 707 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, a speaker, and the like; a storage section 708 including a hard disk or the like; and a communication section 709 including a network interface card such as a LAN card, a modem, or the like. The communication section 709 performs communication processing via a network such as the internet. The drive 710 is also connected to an input/output (I/O) interface 705 as needed. A removable medium 711 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 710 as necessary, so that a computer program read therefrom is mounted into the storage section 708 as necessary.

According to embodiments of the present disclosure, the method flow according to embodiments of the present disclosure may be implemented as a computer software program. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable storage medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 709, and/or installed from the removable medium 711. The above-described functions defined in the system of the embodiments of the present disclosure are performed when the computer program is executed by the processor 701. The systems, devices, systems, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the disclosure.

The present disclosure also provides a computer-readable storage medium that may be embodied in the apparatus/device/system described in the above embodiments; or may exist alone without being assembled into the apparatus/device/system. The computer-readable storage medium carries one or more programs which, when executed, implement methods in accordance with embodiments of the present disclosure.

According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium. Examples may include, but are not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, or device.

For example, according to embodiments of the present disclosure, the computer-readable storage medium may include ROM 702 and/or RAM 703 and/or one or more memories other than ROM 702 and RAM 703 described above.

Embodiments of the present disclosure also include a computer program product comprising a computer program comprising program code for performing the methods provided by the embodiments of the present disclosure, when the computer program product is run on an electronic device, for causing the electronic device to carry out the methods provided by the embodiments of the present disclosure.

The above-described functions defined in the system/apparatus of the embodiments of the present disclosure are performed when the computer program is executed by the processor 701. The systems, apparatus, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the disclosure.

In one embodiment, the computer program may be based on a tangible storage medium such as an optical storage device, a magnetic storage device, or the like. In another embodiment, the computer program may also be transmitted, distributed over a network medium in the form of signals, downloaded and installed via the communication section 709, and/or installed from the removable medium 711. The computer program may include program code that may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

According to embodiments of the present disclosure, program code for performing computer programs provided by embodiments of the present disclosure may be written in any combination of one or more programming languages, and in particular, such computer programs may be implemented in high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. Programming languages include, but are not limited to, such as Java, c++, python, "C" or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind 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., connected via the Internet using an Internet service provider).

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions. Those skilled in the art will appreciate that the features recited in the various embodiments of the disclosure and/or in the claims may be combined in various combinations and/or combinations, even if such combinations or combinations are not explicitly recited in the disclosure. In particular, the features recited in the various embodiments of the present disclosure and/or the claims may be variously combined and/or combined without departing from the spirit and teachings of the present disclosure. All such combinations and/or combinations fall within the scope of the present disclosure.

The embodiments of the present disclosure are described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described above separately, this does not mean that the measures in the embodiments cannot be used advantageously in combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be made by those skilled in the art without departing from the scope of the disclosure, and such alternatives and modifications are intended to fall within the scope of the disclosure.

Claims

1. An information processing method, comprising:

2. The method of claim 1, wherein the task attribute information includes resource attribute information associated with the target task, the resource attribute information being adapted to indicate task resources associated with the target task;

the step of updating the flow node parameters in the task flow topology information according to the task attribute information to obtain updated target task flow topology information comprises the following steps:

3. The method of claim 2, wherein the resource attribute information comprises at least one of:

4. The method of claim 1, wherein the target task comprises a plurality of;

the information processing method further includes:

according to the task execution strategy information, updating task execution parameters of a plurality of initial task execution instructions to obtain a plurality of target task execution instructions; and

and generating the task execution message according to the target task execution instructions.

5. The method of claim 4, further comprising:

6. The method of claim 1, further comprising:

7. The method of claim 6, wherein the task flow topology information includes task flow nodes, the task flow topology including task flow node objects corresponding to the task flow nodes;

the information processing method further includes:

acquiring task feedback information related to the target task;

determining target feedback task flow nodes related to the task feedback information from the target task flow topology information; and

8. The method of claim 1, wherein the task attribute information further comprises task change information;

the information processing method further includes:

9. A warehouse control system, comprising:

and the sending module is used for sending the task execution message to a task execution device related to the target equipment so that the task execution device can control the target equipment to execute the target task related to the target task flow topology information according to the task execution message.

10. An electronic device, comprising:

one or more processors;

a memory for storing one or more programs,

wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of any of claims 1 to 8.

11. A computer readable storage medium having stored thereon executable instructions which when executed by a processor cause the processor to implement the method of any of claims 1 to 8.

12. 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 8.