CN107562546B

CN107562546B - Task allocation method and device and instant messaging tool

Info

Publication number: CN107562546B
Application number: CN201710839342.6A
Authority: CN
Inventors: 马宇尘
Original assignee: Shanghai Liangming Technology Development Co Ltd
Current assignee: Shanghai Liangming Technology Development Co Ltd
Priority date: 2017-09-18
Filing date: 2017-09-18
Publication date: 2020-06-16
Anticipated expiration: 2037-09-18
Also published as: CN107562546A

Abstract

The invention provides a task allocation method, a task allocation device and an instant messaging tool, and relates to the technical field of network communication. A task allocation method comprises the following steps: configuring a task label for a task, wherein the task label comprises quantized data information used for representing the resource amount required by the task; taking each task executor as an independent resource providing container, and collecting the available resource amount of each resource providing container; and distributing the tasks to task performers according to the task labels and the available resource quantity. The invention quantifies the tasks and task executors and provides containers for the task labels to search for adaptive resources, thereby automatically allocating the tasks and improving the allocation efficiency of the tasks.

Description

Task allocation method and device and instant messaging tool

Technical Field

The invention relates to the technical field of network communication.

Background

With the popularization of various types of computing terminals in people's daily life and offices, Instant Messaging (IM) tools have become one of communication tools commonly used by users, and gradually become an essential part of network users' daily life. The user can realize timely and effective communication with the contact person through the network instant messaging tool, and can also carry out transmission operation of data files, arrangement and recording operation of work through the tool.

Currently, in an automation project, it is generally desirable to implement automation when executing tasks, so that a system automatically completes distribution of various tasks and task process recording. The automation requirement is reduced or even no human intervention is required, so that the labor can be saved. The main line of the automation project is based on tasks, and comprises the following steps: the method comprises the steps of task generation, task allocation, task scheduling and task execution until the tasks are completed. In an automation project, the distribution and scheduling of tasks are important. The assignment of tasks generally requires that basic assignment principles be satisfied, and the assignment of objects to the tasking is consistent with the object tasks. However, at present, the process is often completed through manual operation, and a user needs to actively select a task performer and then arrange a task to the task performer, so that the operation is complicated, and the task allocation efficiency is difficult to improve.

Disclosure of Invention

The invention aims to: the defects of the prior art are overcome, and a task allocation method, a task allocation device and an instant messaging tool are provided. The invention quantifies tasks and task performers, takes the task performers as resource providing containers, configures task labels comprising required resource amount for each task, and searches adaptive resource providing containers for the task labels, thereby automatically allocating the tasks and improving the task allocation efficiency.

In order to achieve the above object, the present invention provides the following technical solutions.

A task allocation method comprises the following steps: configuring a task label for a task, wherein the task label comprises quantized data information used for representing the resource amount required by the task; taking each task executor as an independent resource providing container, and collecting the available resource amount of each resource providing container; and distributing the tasks to task performers according to the task labels and the available resource quantity.

And further, outputting task allocation information through an instant messaging tool, wherein the task allocation information comprises a task executor, a task and a corresponding relation of the task executor and the task.

Further, the data information representing the amount of resources required by the task is a two-dimensional array, and includes a resource type and a quantized number, the resource type is one of a shape, a weight, and a volume, and the quantized number is used to represent the size of the resource type.

Further, the data information representing the resource amount required by the task is a four-dimensional array, and comprises two resource types and respective quantification quantity, wherein the resource types are two of shapes, weights and volumes; or the data information of the resource amount required by the task is a six-dimensional array, the six-dimensional array comprises three resource types and respective quantification amounts, and the resource types are shapes, weights and volumes;

the quantization quantity is used to represent the size of the resource type.

Further, the resource amount of the resource providing container is quantized by a two-dimensional array, which includes a resource type and a quantization amount.

Further, the data information representing the resource amount required by the task is a three-dimensional array, and includes a resource type, a quantized amount and an occupied time, the quantized amount is used for representing the size of the resource type, and the occupied time is used for representing the time of the resource amount occupied by the task.

Further, the resource amount of the resource providing container is quantized by a three-dimensional array including a resource type, a quantized amount, and an idle time.

Further, when distributing tasks, the load balancing condition of the current multiple resource providing containers is obtained according to the available resource amount of each resource providing container, and the task executor with the lightest load is preferentially distributed with tasks.

Further, the load rate of each resource providing container is obtained according to the available resource amount of each resource providing container, and when the load rate exceeds a preset load standard threshold, tasks are not distributed to the task performers any more.

The invention also provides a task allocation device, which comprises the following structure:

the task configuration module is used for configuring task labels for the tasks, and the task labels comprise quantized data information used for representing the resource quantity required by the tasks;

the task performer configuration module is used for taking each task performer as an independent resource providing container and configuring the resource amount of the resource providing container;

and the allocation module is connected with the task configuration module and the task executor configuration module and used for acquiring the available resource amount of each resource providing container and allocating the tasks to the task executors according to the task labels.

The invention also provides an instant messaging tool, which comprises an instant messaging function module; the instant messaging tool further comprises a task allocation module, the task allocation module comprising the following structure,

the task configuration unit is used for configuring task labels for the tasks, and the task labels comprise quantized data information used for representing the resource quantity required by the tasks;

the task performer configuration unit is used for taking each task performer as an independent resource providing container and configuring the resource amount of the resource providing container;

the allocation unit is connected with the task configuration unit and the task executor configuration unit and used for acquiring the available resource amount of each resource providing container and allocating the tasks to the task executors according to the task labels;

and the display unit is connected with the distribution unit and used for presenting the task distribution information through a user interface.

And further, presenting task allocation information in a form of a task allocation list, wherein the task allocation information comprises task executors, tasks and corresponding relations of the task executors and the tasks.

Furthermore, according to the available resource quantity of each resource providing container, the load rate of the resource providing container is obtained, and the load rate is output corresponding to the task performer.

The invention also provides a task allocation method of the instant messaging tool, which comprises the following steps:

acquiring task information of a user through an instant messaging tool;

configuring a task label for a task, wherein the task label comprises quantized data information used for representing the resource amount required by the task;

taking each task executor as an independent resource providing container, and collecting the available resource amount of each resource providing container;

and distributing the tasks to task performers according to the task labels and the available resource quantity.

Further, the task performer is a communication contact of the user.

Due to the adoption of the technical scheme, compared with the prior art, the invention has the advantages and positive effects that the method is taken as an example and is not limited: the task and the task performer are quantified, the task performer is used as a resource providing container, a task label comprising the required resource amount is configured for each task, and the adaptive resource providing container is searched for the task label, so that the tasks are automatically allocated, and the allocation efficiency of the tasks is improved; furthermore, the task allocation and the allocation information display are carried out by combining with an instant messaging tool, so that the user can allocate and view the tasks conveniently. The invention is equivalent to using the task performer as a truck and using the task as goods, and loading the goods onto the adaptive truck according to the loading condition of the truck and the parameters of the goods.

Drawings

Fig. 1 is a flowchart of a task allocation method according to an embodiment of the present invention.

Fig. 2 is an exemplary diagram of a user interface for displaying the amount of user resources through an instant messaging tool according to an embodiment of the present invention.

Fig. 3 to 6 are diagrams illustrating an operation example of task allocation by an instant messenger according to an embodiment of the present invention.

FIG. 7 is a diagram illustrating an example of a manner in which tasks may be sent to task performers, according to an embodiment of the present invention.

FIG. 8 is a diagram illustrating a relationship between tasks assigned to task performers according to an embodiment of the present invention.

Fig. 9 is a block diagram of a task assigning apparatus according to an embodiment of the present invention.

Fig. 10 is a block diagram of an instant messaging tool according to an embodiment of the present invention.

Fig. 11 is a flowchart of a task allocation method using an instant messaging tool according to an embodiment of the present invention.

The numbers in the figures are as follows:

the task allocation device 100, the task configuration module 110, the task performer configuration module 120 and the allocation module 130;

the system comprises a user interface 200, a user avatar display bar 210, a contact tool control 220, a contact list 221, a contact avatar 222, a task tool control 230, an existing task item 231 and a new task item 232;

a communication interactive interface 300, a contact object display field 310, an interactive information display field 320, an interactive information input field 330, and an other information display field 340;

the instant messaging tool 400, the instant messaging function module 410, the task allocation module 420, the task configuration unit 421, the task performer configuration unit 422, the allocation unit 423 and the display unit 424.

Detailed Description

The task allocation method, device and instant messaging tool provided by the invention are further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that technical features or combinations of technical features described in the following embodiments should not be considered as being isolated, and they may be combined with each other to achieve better technical effects. In the drawings of the embodiments described below, the same reference numerals appearing in the respective drawings denote the same features or components, and may be applied to different embodiments.

It should be noted that the structures, proportions, sizes, and other dimensions shown in the drawings and described in the specification are only for the purpose of understanding and reading the present disclosure, and are not intended to limit the scope of the invention, which is defined by the claims, and any modifications of the structures, changes in the proportions and adjustments of the sizes and other dimensions, which are within the scope of the invention and the full scope of the invention. The scope of the preferred embodiments of the present invention includes additional implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present invention.

Examples

Referring to fig. 1, a task allocation method includes the following steps:

s100, task labels are configured for the tasks, and the task labels comprise quantized data information used for representing the resource amount required by the tasks.

And S200, taking each task executor as an independent resource providing container, and collecting the available resource amount of each resource providing container.

And S300, distributing the tasks to task performers according to the task labels and the available resource quantity.

The invention quantifies tasks and task performers, takes the task performers as resource providing containers, configures task labels comprising required resource amount for each task, and finds adaptive resource providing containers for the task labels, thereby automatically allocating the tasks. By way of example and not limitation, a task performer may be a truck, and a task may be cargo, the truck having a cargo space. And loading the goods to be loaded onto the adaptive truck according to the goods loading condition of the goods loading space of the truck and the condition of the goods to be loaded.

Before the step S100, an operation of collecting task information of the user may be further included. In this embodiment, it is preferable that task information of a user is collected through an instant messaging tool, and a flowchart is shown in fig. 11. The instant messenger, also called instant messenger, is commonly referred to in the art as a terminal having instant messaging capability.

The method for acquiring the task information of the user through the instant messaging tool specifically comprises the following steps: firstly, character information and/or voice information input by a user are collected, and semantic analysis is carried out on the character information and/or the voice information. And then, acquiring task information according to the semantics.

For example, but not limited to, collecting text information input by a user through a keyboard, or collecting text information input by a user through handwriting.

The mode of collecting the voice information input by the user can be realized by a sound pick-up. For example, and not by way of limitation, when a user needs to assign a task, a voice capture control on the client is triggered, and after the voice capture control is triggered, a sound pick-up can be started to work, and audio data of the user is captured through the sound pick-up. The sound pickup may include a microphone and an amplifier for collecting the live sound, and the structure thereof is referred to a common sound pickup in the prior art and will not be described herein.

The semantic analysis refers to identifying and processing information input by a user to obtain semantics. By way of example and not limitation, existing semantic analysis methods may generally include the following steps: segmenting the sentences to obtain M words; respectively carrying out semantic role labeling on the M words, and searching and positioning predicates in the sentences; and marking the assignor and the receiver of the predicate to obtain the semantics of the sentence.

In the present embodiment, it is considered that when a sentence includes a plurality of pieces of information, since only the assignor and the recipient of the predicate are labeled to determine the semantics of the sentence, other important information in the sentence cannot be labeled, and information is easily lost. Moreover, when the sentence is a spoken sentence, the predicate in the sentence may not be found in the semantic analysis process. The semantic analysis can be performed as follows:

firstly, segmenting text information input by a user; or after the voice information input by the user is identified, the text information corresponding to the voice is obtained, and the text information is segmented. The method comprises the following steps of performing voice recognition on user input voice by adopting an HTK/ATK tool; the speech recognition method may also be used to perform speech recognition on the user input speech in a non-human-specific speech recognition manner, which is not limited herein.

Then, obtaining L words through word segmentation, wherein L is more than or equal to 1; respectively acquiring the characteristics of the L words; and respectively determining the information content contained in the L words according to the characteristics, and selecting at least one word containing more information content from the L words as a central word. By way of example and not limitation, when the user input information is a chinese language, a chinese word segmentation system, such as ICTCLAS, may be used to segment a text corresponding to the user input speech; when the user inputs the speech in other languages, the word segmentation system corresponding to the language can be used for word segmentation, which is not described herein again. The characteristics of the words can reflect the specific part of speech, representative meaning and other named entity characteristics of the words. By way of example, and not limitation, such as names of people, places, numbers, parts of speech (such as adjectives, adverbs, co-grams, conjunctions, etc.).

Then, respectively taking the central words as centers to make windows, and determining context words of the central words; matching the context words with a semantic model obtained by pre-training to obtain a matching result; and analyzing semantics according to the matching result.

And after the task information is acquired, configuring a task label for the task. The task tag includes quantized data information representing the amount of resources required for the task. The data information of the required resource amount can be, for example and without limitation, human power, space, environment, time, etc. required for performing the task.

Preferably, the data information representing the amount of resources required by the task is a two-dimensional array. The two-dimensional number includes a resource type, which is one of a shape, a weight, and a volume, and a quantized quantity to represent the size of the resource type, such as by an array { resource type, quantity }.

By way of example and not limitation, taking the task "summarize the workload of the first quarter of the company" as an example, the task is quantified by weight, and the amount of resources required by the task is { weight, 5} according to a preset task weight quantification standard. The preset task weight quantification standard can be set individually by a company, and can also be set by an automatic task quantification system in an automatic default mode. Of course, according to the difference of the quantized resource types, the required resource amount corresponding to a certain task can be obtained according to a preset task shape quantization standard and a preset task volume quantization standard.

In another implementation manner of this embodiment, the data information indicating the amount of resources required by the task may also be a four-dimensional array, including two types of resources and their respective quantization amounts, where the types of resources are two types of shapes, weights, and volumes. By way of example and not limitation, the value may be represented by an array { resource type 1, quantity 1, resource type 2, quantity 2}, specifically, the value may be represented by { volume, 2, weight, 5}, and the quantity 1 and the quantity 2 may be represented by volume and weight, respectively.

Or, in another embodiment, the data information of the resource amount required by the task is a six-dimensional array, which includes three resource types and respective quantization amounts, where the resource types are shape, weight, and volume; the quantization quantity is used to represent the size of the resource type. By way of example and not limitation, such as represented by the array { resource type 1, quantity 1, resource type 2, quantity 2, resource type 3, quantity 3}, quantity 1 and quantity 2 being used to represent the volume and weight, respectively; the number 3 is used to indicate the size of the shape. Specifically, for example { volume, 2, weight, 5, round, 1 }. Thus, the data information of the resource amount required by one task can be expressed through the array.

In this embodiment, each task performer is also used as an independent resource providing container, and the available resource amount of each resource providing container is collected.

The task performer can be a natural person or an intelligent machine terminal. By way of example and not limitation, the task performer may be a company employee or may be a device such as an intelligent printer, an intelligent cleaning robot, or a mobile phone. And the task performer may be one or more.

Preferably, the resource amount of the resource providing container is quantized according to a quantized form of the task. Specifically, the resource amount of the resource providing container may be quantized by a two-dimensional array, where the two-dimensional array includes a resource type and a quantization amount.

By way of example and not limitation, taking company employees as an example, each employee is taken as a resource providing container, and weight is taken as a resource type for quantification, and the amount of resource provided by the resource providing container can be expressed as { weight, quantity 1 }. The number 1 is used to represent the total weight that the employee can provide, for example, the resource amount of employees under 1 year of a certain official age is { weight, 5 }; age 1) the resource amount of staff of 2 years is { weight, 10 }; age 2) of 3 years of staff are { weight, 13} and so on. For each human task performer, the amount of resources available to the human task performer is equal to the total weight minus the amount of capacity, since the human task performer may already be loaded with tasks. Of course, the type of resource used in the quantification may be any of a volume or a shape, in addition to the aforementioned weight.

Tasks may be assigned to appropriate task performers based on the aforementioned task tags and the aforementioned amount of resources available for use.

In another implementation manner of this embodiment, the data information indicating the amount of resources required by the task is a three-dimensional array, and includes a resource type, a quantized number and an occupied time, where the quantized number is used to indicate a size of the resource type, and the occupied time is used to indicate a time when the task occupies the amount of resources. Meanwhile, the resource amount of the resource providing container is also quantized through a three-dimensional array, and the three-dimensional array comprises the resource type, the quantized amount and the idle time. Thus, by increasing the time factor, the accuracy of task allocation can be improved.

In this embodiment, the task allocation information is preferably output through an instant messaging tool. The task allocation information may include task performers, tasks, and a correspondence between the task performers and the tasks.

Preferably, the task performer is a communication contact of the user.

In this embodiment, in task allocation, in consideration of load balancing, the load balancing situation of the current multiple resource providing containers may be obtained according to the available resource amount of each resource providing container, and a task executor with the lightest load is preferentially allocated with a task. For example, but not by way of limitation, when a task is allocated to a staff member after certain task information of a user is collected and quantified, a small plum with a light task load is automatically obtained as an executor of the task.

Or acquiring the load rate of each resource providing container according to the available resource amount of each resource providing container, and when the load rate exceeds a preset load standard threshold, no task is distributed to the task performer. For example, but not by way of limitation, if the preset load standard threshold is 85% of the full load, when a task is allocated, the load rate of each resource providing container (task performer) is obtained, and when the load rate of a certain task performer exceeds 85%, the task is no longer allocated to the task performer. Preferably, the task performers whose load rates meet the load standard threshold are identified differently.

Referring to fig. 2, a manner of displaying an amount of contact resources of a user through an instant messaging tool is illustrated.

The user activates the instant messaging tool, which, upon activation, outputs the user interface shown in fig. 2.

The user interface displays a user avatar display bar 210, and a search bar and a toolbar are arranged below the user avatar display bar 210. The first in the toolbar is a contact tool control 220, when the contact tool control 220 is activated, the user interface outputs a contact list 221, and information presented in the contact list may include a contact avatar 222, a contact nickname, and the like.

Meanwhile, the task load rate of the contact is displayed in the user interface. With continued reference to fig. 2, after the contact avatar, a load rate identification bar is displayed. In the load rate identification bar, dark color represents the loaded amount, and light color represents the loadable amount. Load rate values are also displayed above the load rate indicator bar.

Wherein the employee "Liqu" has a load rate of over 85%, is differentially identified, and a "full" indication is displayed indicating that the task performer has reached the load criteria threshold.

When the user needs to assign a new task, the user may select through a toolbar, as shown in fig. 3, for example, the user selects the third position in the toolbar: task tool controls 230.

After the task tool control 230 is activated (e.g., a user clicks the control icon with a mouse or a finger), the user interface outputs a task list, and information presented in the task list may include task items, task topics, task content summaries, task-related task performers, new task item controls, and the like.

Referring to fig. 3, the user interface outputs a task list including an existing task item 231, and a task performer, which is zhang san, wang wu, and populus, is displayed below the existing task item 231 as a first sub-level item of the task item.

After being triggered, the new task item 232, which is set at the same level as the existing task item 231, can trigger the generation of the new task item and perform task information acquisition.

By way of example and not limitation, the new task item 232 in FIG. 3 can include a text trigger area and a voice trigger area. If the user triggers the character 'new task arrangement', starting a text input method, outputting a text information acquisition window to the user, and inputting the text information of the task by the user through keyboard output; and if the user triggers the recording icon, starting an audio recording tool and acquiring the audio information of the user. Meanwhile, a theme of the new task may be generated, and the theme may be generated in a default manner of the system, for example, by using the task creation date "20170729" as the theme; the system can also be generated by collecting input information of the user, such as collecting a theme ". multidot.project" output by the user through a theme naming column.

Referring to fig. 4, when the user triggers the recording icon, the audio recording tool is activated to start recording, and the theme "20170729" of the task is generated.

The method comprises the steps of collecting voice information 'manpower part' of a user, sorting information of job seekers who try again tomorrow, sending the information to a mailbox before work today, and synchronously converting the voice information into text information to be displayed on a user interface. And then, after semantic analysis is carried out on the characters, task information related to the characters is obtained.

After acquiring the task information, a task tag is configured for the task, wherein the task tag comprises quantized data information used for representing the amount of resources required by the task, as shown in fig. 5, after the task is quantized, the task tag { circle, 5} is configured according to the 'manpower department' of the department required by the task and the task requirement and according to a preset task quantization standard. The preset task quantification standard can be set individually by a user. Then, according to the task label, the proper task performer is automatically found. Referring to fig. 6, after matching, the staff member Mary with the lowest task load rate in fig. 2 is selected as the task performer, and the contact head portrait of the task performer is displayed below the task.

At this time, the contact person head portrait of the task performer is an interactive interface, and when the user clicks the head portrait, the communication interactive interface between the user and the task performer can be triggered.

At present, contact person applications in the instant messaging tool all have the function of contact person head portraits, and when a user sets the head portraits of the contact persons, the head portraits of the contact persons can be displayed in a contact person list. In the existing instant messaging tool, when a user clicks the avatar of the contact, a display screen of the terminal presents some communication interaction interfaces with simple control actions to the user, for example, historical interaction information, current interaction information, and the like are presented. Taking the instant messaging tool QQ as an example, the user triggers the head portrait of the target contact in the contact list, and the display screen pops up the instant messaging interactive interface, in which an interactive information display field, an interactive information input field, an information editing tool field between the two fields, and the like are displayed. The avatar of the human task performer shown in fig. 6 also has the above-described functions.

After the task performer is selected, the task may also be automatically sent to the task performer. The manner in which the task is sent to the task performer may be one of,

in the first mode, after a task corresponding to a task executor is converted into an instant messaging message, the instant messaging message is sent to the task executor in a message form;

the method II comprises the steps that after the task corresponding to the task performer is loaded into a task document, the task document is sent to the task performer in a document form;

and in the third mode, after converting the task corresponding to the task performer into the mail, sending the mail to the task performer in a mail form.

Preferably, for the instant messaging tool, the task is sent by message in an instant manner by default. Referring to fig. 7, according to the task allocation information in fig. 6, an instant messaging interaction between the user and Mary is triggered, and the task is automatically sent to a task performer Mary in the form of an instant messaging message through an instant messaging interaction interface.

Referring to FIG. 8, an operational diagram illustrating the adaptation of tasks to task performers is shown. And quantifying each task according to the task information, wherein each task can be quantified into different shapes, volumes or weights due to different required resource amounts, and then taking the task performer as a large container to find the container matched with the task according to the shape, volume or weight of the quantified task.

Referring to fig. 9, a task assigning apparatus is provided as another embodiment of the present invention.

The task assigning apparatus 100 includes the following structure:

a task configuration module 110, configured to configure a task tag for a task, where the task tag includes quantized data information for indicating an amount of resources required for the task;

a task performer configuration module 120, configured to configure the resource amount of the resource providing container by using each task performer as an independent resource providing container;

the allocation module 130 is connected to the task configuration module 110 and the task performer configuration module 120, and is configured to obtain the amount of resources available for each resource providing container, and allocate the tasks to the task performers according to the task tags.

The task allocation device can also comprise a data recognition module which is used for collecting the text information and/or the voice information of the user, carrying out semantic analysis on the text information and/or the voice information and acquiring the task information according to the semantics.

Specifically, the data recognition module can be used for acquiring a structure and a semantic analysis structure of user information. The user information collection structure may include, by way of example and not limitation, semantic collection controls, a microphone, and a memory, for example. The user can trigger the pronunciation collection controlling part when needing to distribute the task, and this pronunciation collection controlling part is triggered the back, can start the adapter work, gathers user's audio data through the adapter. The sound pickup may include a microphone and an amplifier for collecting the live sound, and the structure thereof is referred to a common sound pickup in the prior art and will not be described herein. The captured audio data is then stored in memory.

The semantic analysis structure is used for identifying and processing information input by a user to obtain semantics. By way of example and not limitation, it may include speech recognition tools and semantic analysis tools. For example, the voice recognition tool may be an HTK/ATK tool; the semantic analysis tool can work based on a word segmentation system, for example, segmenting a Chinese text corresponding to a user input voice through a Chinese word segmentation system ICTCCLAS and the like; when the user inputs the voice in other languages, the word segmentation system corresponding to the language can be adopted to perform word segmentation. The semantic analysis tool divides the words of the sentence to obtain M words; respectively carrying out semantic role labeling on the M words, and searching and positioning keywords in the sentence; and labeling the keywords to obtain the semantics of the sentence.

The task configuration module 110, the task performer configuration module 120, and the allocation module 130 may respectively use independent microprocessors to perform information processing, so as to improve information processing efficiency.

The task assigning apparatus may further include a display module, connected to the assigning module 130, for presenting the task assigning information through a user interface of the associated instant messaging tool.

Other technical features can be referred to the description in the previous embodiment and the information processing technology in the prior art, and are not described again.

Referring to fig. 10, an instant messaging tool is provided for another embodiment of the present invention.

The instant messaging tool 400 includes an instant messaging function module 410. The instant messaging function module 410 is used for sending, receiving and outputting a communication message. It refers to the function module configuration of the common instant messaging tool in the prior art, and is not described herein again.

The instant messaging tool further comprises a task assignment module 420, wherein the task assignment module 420 comprises the following structure:

a task configuration unit 421, configured to configure a task tag for a task, where the task tag includes quantized data information used for indicating an amount of resources required by the task;

a task performer configuration unit 422, configured to configure the resource amount of the resource providing container with each task performer as an independent resource providing container;

the allocation unit 423 is connected with the task configuration unit 421 and the task executor configuration unit 422, and is used for acquiring the available resource amount of each resource providing container and allocating the tasks to the task executors according to the task labels;

the display unit 424 is connected to the assignment unit, and is used for presenting the task assignment information through the user interface.

Preferably, when the task allocation information is output, the task allocation information is presented in the form of a task allocation list, and the task allocation information includes a task performer, a task and a corresponding relationship between the task performer and the task.

And when the task information is output, acquiring the load rate of each resource providing container according to the available resource amount of each resource providing container, and outputting the load rate corresponding to the task performer.

Other technical features can be referred to the description in the previous embodiment and are not repeated.

In the above description, although all components of aspects of the present disclosure may be construed as assembled or operatively connected as one unit or module, the present disclosure is not intended to limit itself to these aspects. Rather, the various components may be selectively and operatively combined in any number within the intended scope of the present disclosure. Each of these components may also be implemented in hardware itself, while the various components may be partially or selectively combined in general and implemented as a computer program having program modules for performing the functions of the hardware equivalents. Codes or code segments to construct such a program can be easily derived by those skilled in the art. Such a computer program may be stored in a computer readable medium, which may be executed to implement aspects of the present disclosure. The computer readable medium may include a magnetic recording medium, an optical recording medium, and a carrier wave medium.

In addition, terms like "comprising," "including," and "having" should be interpreted as inclusive or open-ended, rather than exclusive or closed-ended, by default, unless explicitly defined to the contrary. All technical, scientific, or other terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs unless defined otherwise. Common terms found in dictionaries should not be interpreted too ideally or too realistically in the context of related art documents unless the present disclosure expressly limits them to that.

While exemplary aspects of the present disclosure have been described for illustrative purposes, those skilled in the art will appreciate that the foregoing description is by way of description of the preferred embodiments of the present disclosure only, and is not intended to limit the scope of the present disclosure in any way, which includes additional implementations in which functions may be performed out of the order illustrated or discussed. Any changes and modifications of the present invention based on the above disclosure will be within the scope of the appended claims.

Claims

1. A task allocation method is characterized by comprising the following steps:

acquiring task information of a user, and configuring a task label for a task, wherein the task label comprises quantized data information used for representing the resource amount required by the task; the task label comprises a resource type and a quantification quantity, wherein the resource type comprises a shape, a weight and/or a volume, the quantification quantity is used for representing the size of the resource type, and the shape, the weight and/or the volume adopted by the task are quantified according to a preset task shape quantification standard, a task weight quantification standard and/or a task volume quantification standard to obtain the size of the shape, the weight and/or the volume required by the task;

taking each task executor as an independent resource providing container, quantizing the resource amount of the resource providing container by using a resource type and a quantized amount according to the quantization form of the task, wherein the resource type comprises a shape, a weight and/or a volume, the quantized amount represents the total amount of resources which can be provided by the corresponding resource type, and the available resource amount of each resource providing container is acquired, and is equal to the sum of the resources minus the loaded amount;

distributing the tasks to task performers according to the task labels and the available resource quantity;

acquiring character information and/or voice information input by a user, performing semantic analysis on the character information and/or the voice information, and acquiring task information according to semantics; the semantic analysis step comprises:

segmenting words of text information input by a user, or recognizing voice information input by the user, acquiring text information corresponding to the voice, and segmenting words of the text information; obtaining L words through word segmentation, wherein L is more than or equal to 1, respectively obtaining the characteristics of the L words, respectively determining the information content contained in the L words according to the characteristics, and selecting at least one word containing a large amount of information from the L words as a central word; the characteristics of the words can reflect the specific representative meanings of the words, including names of people, names of places and numbers; and respectively taking the central words as centers to serve as windows, determining the context words of the central words, matching the context words with a semantic model obtained by pre-training to obtain matching results, and analyzing semantics according to the matching results.

2. The method of claim 1, wherein: and outputting task allocation information through the instant messaging tool, wherein the task allocation information comprises a task executor, a task and a corresponding relation of the task executor and the task.

3. The method of claim 1, wherein: the task tag is a two-dimensional array, and the resource type is one of shape, weight and volume.

4. The method of claim 1, wherein: the task label is a four-dimensional array and comprises two resource types and respective quantification quantity, wherein the resource types are two of shapes, weights and volumes; or the task label is a six-dimensional array comprising three resource types of shape, weight and volume and respective quantification quantities.

5. The method according to claim 3 or 4, characterized in that: the resource amount of the resource providing container is quantized by a two-dimensional array, which includes a resource type and a quantization amount.

6. The method of claim 1, wherein: the task tag also comprises occupation time which is a three-dimensional array comprising a resource type, a quantification quantity and occupation time, and the occupation time is used for representing the time of the task occupying the resource quantity.

7. The method of claim 6, wherein: the resource amount of the resource providing container is quantized by a three-dimensional array, and the three-dimensional array comprises a resource type, a quantized amount and idle time.

8. The method of claim 1, wherein: when distributing tasks, according to the resource quantity available for each resource providing container, obtaining the load balance condition of the current multiple resource providing containers, and distributing the tasks to the task performer with the lightest load preferentially.

9. The method of claim 1, wherein: and acquiring the load rate of each resource providing container according to the available resource amount of each resource providing container, and when the load rate exceeds a preset load standard threshold, no longer allocating tasks to the task performer.

10. A task assigning apparatus characterized by comprising the following structure:

the data identification module is used for collecting character information and/or voice information input by a user, performing semantic analysis on the character information and/or the voice information and acquiring task information according to semantics;

the task configuration module is used for configuring task labels for the tasks, and the task labels comprise quantized data information used for representing the resource quantity required by the tasks; the task label comprises a resource type and a quantification quantity, wherein the resource type comprises a shape, a weight and/or a volume, the quantification quantity is used for representing the size of the resource type, and the shape, the weight and/or the volume adopted by the task are quantified according to a preset task shape quantification standard, a task weight quantification standard and/or a task volume quantification standard to obtain the size of the shape, the weight and/or the volume required by the task;

the task performer configuration module is used for taking each task performer as an independent resource providing container and configuring the resource amount of the resource providing container; according to the quantification form of the task, quantifying the resource quantity of the resource providing container by using a resource type and a quantification quantity, wherein the resource type comprises a shape, a weight and/or a volume, and the quantification quantity represents the total quantity of resources which can be provided by the corresponding resource type;

the allocation module is connected with the task configuration module and the task executor configuration module and used for acquiring the available resource amount of each resource providing container and allocating the tasks to the task executors according to the task labels, wherein the available resource amount is equal to the sum of the resources minus the loaded amount;

wherein the semantic analysis comprises:

11. An instant messaging tool, includes instant messaging functional module, its characterized in that: the instant messaging tool comprises a task allocation module, the task allocation module comprises the following structure,

the task configuration unit is used for configuring task labels for the tasks, and the task labels comprise quantized data information used for representing the resource quantity required by the tasks; the task label comprises a resource type and a quantification quantity, wherein the resource type comprises a shape, a weight and/or a volume, the quantification quantity is used for representing the size of the resource type, and the shape, the weight and/or the volume adopted by the task are quantified according to a preset task shape quantification standard, a task weight quantification standard and/or a task volume quantification standard to obtain the size of the shape, the weight and/or the volume required by the task;

the task performer configuration unit is used for taking each task performer as an independent resource providing container and configuring the resource amount of the resource providing container; according to the quantification form of the task, quantifying the resource quantity of the resource providing container by using a resource type and a quantification quantity, wherein the resource type comprises a shape, a weight and/or a volume, and the quantification quantity represents the total quantity of resources which can be provided by the corresponding resource type;

the allocation unit is connected with the task configuration unit and the task executor configuration unit and used for acquiring the available resource quantity of each resource providing container and allocating the tasks to the task executors according to the task labels, wherein the available resource quantity is equal to the sum of the resources minus the loaded quantity;

the display unit is connected with the distribution unit and used for presenting task distribution information through a user interface;

wherein the semantic analysis comprises:

12. The instant messaging tool of claim 11, wherein: presenting task allocation information in a form of a task allocation list, wherein the task allocation information comprises task executors, tasks and corresponding relations of the task executors and the tasks.

13. The instant messaging tool of claim 11, wherein: and acquiring the load rate of each resource providing container according to the available resource amount of each resource providing container, and outputting the load rate corresponding to the task performer.

14. A task allocation method of an instant messaging tool is characterized by comprising the following steps:

acquiring task information of a user through an instant messaging tool;

configuring a task label for a task, wherein the task label comprises quantized data information used for representing the resource amount required by the task; the task label comprises a resource type and a quantification quantity, wherein the resource type comprises a shape, a weight and/or a volume, the quantification quantity is used for representing the size of the resource type, and the shape, the weight and/or the volume adopted by the task are quantified according to a preset task shape quantification standard, a task weight quantification standard and/or a task volume quantification standard to obtain the size of the shape, the weight and/or the volume required by the task;

15. The method of claim 14, wherein: the task performer is the communication contact person of the user.