WO2019205324A1

WO2019205324A1 - Task allocation method and system, and terminal device

Info

Publication number: WO2019205324A1
Application number: PCT/CN2018/097527
Authority: WO
Inventors: 徐光飞
Original assignee: 平安科技（深圳）有限公司
Priority date: 2018-04-24
Filing date: 2018-07-27
Publication date: 2019-10-31
Also published as: CN108764633A

Abstract

The present application is applicable to the technical field of information management, and provides a task allocation method, comprising: obtaining a task list to be delivered; obtaining identity information of an object to be identified in the task list to be delivered; matching the identity information of the object to be identified and identity information of a target object in a preset target object database; if the identity information of the object to be identified matches the identity information of the target object, setting a task corresponding to the object to be identified as an invalid task; and deleting the invalid task from the task list to be delivered to obtain a valid task list, and delivering the valid task list. By matching identity information of an object to be identified and identity information of a target object in a preset target object database to accurately identify the target object in tasks to be delivered, and deleting an invalid task from the tasks to be delivered, the agent dialing efficiency is improved, so that the existing problem of low agent dialing efficiency caused by low proxy identification efficiency during a telesales process is resolved.

Description

Task assignment method, system and terminal device

The application claims the priority of the Chinese Patent Application No. 201810373332.2, entitled "A Task Assignment Method, System and Terminal Equipment", which is filed on April 24, 2018, the entire contents of which are incorporated by reference. In this application.

Technical field

The present application belongs to the field of information management technologies, and in particular, to a task allocation method, system, and terminal device.

Background technique

Telephone sales is a sales method based on telephone. The telephone is the main means of communication. Through the special telephone marketing number, the company directly contacts the customer in the name of the company, and uses the company's automated information management technology and professional operation platform to complete the promotion of the company's products. The main marketing process of consulting, quotation, and confirmation of product transaction conditions.

In the telephone sales process, if the agent dials the agent's phone number, it is often difficult to facilitate the transaction, and the sales success rate is low. An agent refers to a unit or individual that collects a commission from the agent according to the agency contract or authorization or verbal agreement, and the agent or agent who handles the business on behalf of the agent. For example, the vehicle insurance agent refers to the commission of the owner. The unit or individual who handles the auto insurance business on behalf of the owner of the vehicle and collects the agency fee from the owner according to law. Therefore, in the industry, it is usually necessary to identify the agent's phone number and block the agent's phone number to avoid the agent's call and waste the agent resources.

The prior art usually collects agent information manually, or when the agent answers the agent, the current phone number is marked as the agent phone number, and the recognition efficiency is low, resulting in inefficient call.

In summary, the existing telephone sales process has the problem that the agent identification efficiency is low, resulting in low efficiency of the agent's dialing.

technical problem

In view of this, the embodiment of the present application provides a task allocation method, a system, and a terminal device, so as to solve the problem that the agent identification efficiency is low in the existing telephone sales process, and the agent dialing efficiency is low.

Technical solution

A first aspect of the present application provides a task assignment method, including:

Obtain a list of tasks to be delivered;

Obtaining identity information of the object to be identified in the task list to be delivered,

Matching the identity information of the object to be identified by the identity information of the target object in the preset target object database;

And if the identity information of the object to be identified matches the identity information of the target object, setting the task corresponding to the object to be identified as an invalid task;

Deleting the invalid task from the task list to be delivered, obtaining a valid task list, and delivering the valid task list.

A second aspect of the present application provides a task assignment system comprising:

The task obtaining module is configured to obtain a task list to be delivered.

An identity information obtaining module, configured to acquire identity information of an object to be identified in the task list to be delivered;

a matching module, configured to match identity information of the object to be identified by presetting the identity information of the target object in the target object database;

And the matching invalidation module is configured to: if the identity information of the object to be identified matches the identity information of the target object, set the task corresponding to the object to be identified as an invalid task;

And a deletion module, configured to delete the invalid task from the task list to be delivered, obtain a valid task list, and deliver the valid task list.

A third aspect of the present application provides a terminal device including a memory, a processor, and computer readable instructions stored in the memory and executable on the processor, the processor executing the computer readable The following steps are implemented when the instruction is executed:

Obtain a list of tasks to be delivered;

A fourth aspect of the present application provides a computer readable storage medium storing computer readable instructions that, when executed by a processor, implement the following steps:

Obtain a list of tasks to be delivered;

Beneficial effect

The task assignment method, system and terminal device provided by the present application perform matching query by the identity information of the target object in the target object database and the identity information of the object to be identified, and accurately identify the target object to be delivered. In addition, the invalid task is deleted in the task to be delivered, and the efficiency of the agent's dialing is improved, which effectively solves the problem that the existing telephone sales process has low efficiency of agent identification, resulting in low efficiency of agent dialing.

DRAWINGS

1 is a schematic flowchart of an implementation process of a task allocation method according to Embodiment 1 of the present application;

2 is a schematic flowchart of an implementation process of a task allocation method according to Embodiment 2 of the present application;

3 is a schematic flowchart of an implementation process of a task allocation method according to Embodiment 3 of the present application;

4 is a schematic flowchart of an implementation process of a task allocation method according to Embodiment 4 of the present application;

5 is a schematic structural diagram of a task distribution system according to Embodiment 5 of the present application;

6 is a schematic structural diagram of a task distribution system according to Embodiment 6 of the present application;

7 is a schematic structural diagram of a task distribution system according to Embodiment 7 of the present application;

8 is a schematic structural diagram of a task distribution system according to Embodiment 8 of the present application;

FIG. 9 is a schematic diagram of a terminal device provided in Embodiment 9 of the present application.

Embodiments of the invention

Specific details such as specific system architectures, techniques, and the like are set forth for the purpose of illustration and description. However, it will be apparent to those skilled in the art that the present invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, systems, circuits, and methods are omitted so as not to obscure the description of the application.

In order to explain the technical solutions described in the present application, the following description will be made by way of specific embodiments.

Embodiment 1:

As shown in FIG. 1 , this embodiment provides a task allocation method, which specifically includes:

Step S101: Obtain a task list to be delivered.

In a specific application, the agent system sends a task list to the agent according to the call request. The task list that is delivered may include the agent's call task. In order to prevent the agent from dialing the agent's corresponding task, the agent system obtains the agent's corresponding task. A list of tasks to be delivered.

Step S102: Acquire identity information of the object to be identified in the task list to be delivered.

In a specific application, the task list to be delivered includes user information of one or more objects to be identified, and the user information includes identity information and service information of the object to be identified. It should be noted that the identity information includes: a name, an ID card number, and a phone number, etc., which can indicate the identity of the user. In this embodiment, the identity information of all the objects to be identified in the task list to be delivered is obtained by acquiring the task list to be delivered. Specifically, the ID number or phone number of each object to be identified in the task list to be delivered is obtained.

Step S103: Match the identity information of the object to be identified by the identity information of the target object in the preset target object database.

In a specific application, a target object database containing identity information of the target object is pre-established. The identity information of the target object (agent) is obtained in advance through various channels, such as the name, ID number, telephone number, Hong Kong and Macao pass code, agent document information, etc., which can reflect the identity of the agent. The preset target object database includes the identity information of all agents in the industry.

In a specific application, the identity information of the object to be identified is matched with the identity information of the target object in the target object database. If one identity information matches, the object to be identified is the target object. Exemplarily, the phone number of the object to be identified matches the phone number of a target object in the target object database, indicating that the object to be identified corresponding to the phone number is the target object; the ID number of the object to be identified and the target object database If the ID number of a certain target object matches, it indicates that the object to be identified corresponding to the ID number is the target object.

It should be noted that the target object database includes multiple target objects, and each target object corresponds to multiple identity information. The task list to be delivered also includes one or more objects to be identified, and each object to be identified also corresponds to multiple identity information. When the identity information of the object to be identified and the identity information of the target object are matched, only one piece of identity information of the object to be identified matches one of the identity information of a target object in the target object database, indicating that the object to be identified The identity information matches the identity information of the target object.

Step S104: If the identity information of the object to be identified matches the identity information of the target object, set the task corresponding to the object to be identified as an invalid task.

In a specific application, when the identity information of the object to be identified matches the identity information of the target object, indicating that the object to be identified is the target object (agent), the task corresponding to the object to be identified is set as an invalid task.

Step S105: Delete the invalid task from the task list to be delivered, obtain a valid task list, and deliver the valid task list.

In the specific application, the task corresponding to the object to be identified is an invalid task. In order to improve the efficiency, the invalid task is deleted from the task list to be delivered, and a valid task list is obtained. At this time, the effective task list does not include the dialing task corresponding to the target object. The effective task list is delivered, and the agent dials according to the effective task list, and does not dial the telephone number of the target object (agent), thereby improving the dialing efficiency.

The task allocation method provided in this embodiment performs a matching query by using the identity information of the target object in the target object database and the identity information of the object to be identified, and accurately identifies the target object to be delivered, and waits for the target object to be delivered. The invalid task is deleted in the task, and the efficiency of the agent's dialing is improved, which effectively solves the problem that the existing telephone sales process has low efficiency of agent identification, resulting in low efficiency of agent dialing.

Embodiment 2:

As shown in FIG. 2, with respect to the first embodiment, the task assignment method provided in this embodiment further includes: steps S201 to S203, which are specifically described as follows:

Step S201: If the identity information of the object to be identified does not match the identity information of the target object, obtain the traffic volume of the object to be identified within a preset time period.

In the specific application, since the preset target object database may not be updated in time, in order to further determine whether the target object (agent) still exists in the object to be identified, the identity information of the object to be identified and the identity information of the target object are not When matching, since the target object (agent) has more traffic in the preset time period than the non-target object, it is possible to further analyze whether the object to be identified is the target object by the traffic volume in the preset time period. The amount of traffic of the object to be identified whose identity information does not match the identity information of the target object in the preset time period is obtained by the agent system.

It should be noted that the preset time period refers to the working time period of the day, for example, 8:00~20:00.

Obtaining the traffic volume of the object to be identified in the preset time period is specifically acquiring the traffic volume of each object to be identified within a preset time period, or acquiring the total traffic volume of each object to be identified within a plurality of preset time segments. The total traffic is used as the traffic volume of the object to be identified, or the average traffic volume of each object to be identified in a plurality of preset time segments is obtained, and the average traffic volume is used as the traffic volume of the object to be identified.

Step S202: Determine whether the traffic volume is greater than a first preset threshold.

In a specific application, since the target object (agent) has a large amount of traffic in the preset time period, the first preset threshold is set to determine whether the object to be identified is the target object. That is, if the traffic volume of each object to be identified is greater than the first preset threshold, if the traffic volume of the object to be identified is greater than the first preset threshold, the object to be identified is the target object; if the traffic volume of the object to be identified is not If it is greater than the first preset threshold, the object to be identified may not be the target object. It should be noted that the first preset threshold refers to a traffic threshold that is preset in order to measure whether the object to be identified is a target object. The first preset threshold can be set according to industry experience.

Step S203: If the traffic volume is greater than the first preset threshold, set the task corresponding to the object to be identified as an invalid task.

In a specific application, the object to be identified is a target object (agent), and the task corresponding to the object to be identified is set as an invalid task.

In an embodiment, the foregoing task assignment method further includes:

Step S204: If the traffic volume is not greater than the first preset threshold, and the traffic volume is greater than the second preset threshold, the object to be identified is set as a suspect target object, and the suspect is determined within a preset time interval. The identity information of the target object is matched with the identity information of the target object in the target object database, wherein the first preset threshold is greater than the second preset threshold.

In a specific application, when the traffic volume of the object to be identified is not greater than the first preset threshold and greater than the second preset threshold, it indicates that the object to be identified may be the target object, and the object to be identified is set as the suspect target object. Since the target object database is updated in real time, the identity information of the suspected target object is matched with the identity information of the target object in the target object database in a preset time interval. It should be noted that the preset time interval can be set according to the actual update frequency of the target object database.

In a specific application, when the identity information of the suspected target object matches the identity information of the target object in the target object database, it indicates that the suspected target object is the target object. If the identity information of the suspect target object does not match the identity information of the target object in the target object database, it indicates that the suspect target object is not the target object.

It should be noted that the target object database includes multiple target objects, and each target object corresponds to multiple identity information. Each suspected target object also corresponds to multiple identity information. When the identity information of the suspected target object and the identity information of the target object are matched, only one identity information of the suspected target object matches an identity information of a target object in the target object database, indicating the suspected target object The identity information matches the identity information of the target object.

Step S205: If the identity information of the suspected target object matches the identity information of the target object, set the task corresponding to the suspected target object as an invalid task.

In a specific application, when the identity information of the suspected target object matches the identity information of the target object, it indicates that the suspected target object is the target object (agent), and therefore the task corresponding to the suspected target object is set as an invalid task.

Embodiment 3:

As shown in FIG. 3, with respect to the first and second embodiments, the task assignment method provided in this embodiment further includes: steps S301 to S304, which are specifically described as follows:

Step S301: If the identity information of the object to be identified does not match the identity information of the target object, obtain a historical recording of the object to be identified, and extract audio data.

In a specific application, in order to further determine whether a target object (agent) still exists in the object to be identified, when the identity information of the object to be identified does not match the identity information of the target object, a historical recording of the object to be identified is obtained, and The audio data is extracted from the historical recording.

Step S302: Convert the audio data into text data.

In a specific application, the conversion of audio data into text data can be converted by an existing audio text conversion tool.

Step S303: Identify whether the preset data is included in the text data.

In the specific application, in the process of the agent and the agent customer service call, some industry terminology and the agent's common language are adopted. Therefore, the industry terminology and the agent's common language are set as preset keywords. Identify whether the text data contains preset keywords. It should be noted that the preset keyword can be set according to industry terminology and the common language of the target object.

Exemplarily, the obtained text data is: "I want to purchase No. 1101 auto insurance, no special contract", of which "No. 1101 auto insurance" and "Special contract" are industry terminology. Therefore, the text data contains preset keywords.

Step S304: If the text data includes a preset keyword, the task corresponding to the object to be identified is set as an invalid task.

In the specific application, if the text data includes a preset keyword, it indicates that the object to be identified is the target object (agent), and therefore the task corresponding to the object to be identified is set as an invalid task.

Embodiment 4:

As shown in FIG. 4, with respect to the first to third embodiments, the task assignment method provided in this embodiment further includes: steps S401 to S404, which are specifically described as follows:

Step S401: If the identity information of the object to be identified does not match the identity information of the target object, obtain the voiceprint feature of the target object according to the historical recording of the target object.

In a specific application, in order to further determine whether the target object (agent) still exists in the object to be identified, when the identity information of the object to be identified does not match the identity information of the target object, the voiceprint characteristics of each person are different. Therefore, whether the object to be identified is the target object can be further determined by the matching degree between the voiceprint feature of the object to be identified and the voiceprint feature of the target object.

In a specific application, acquiring the voiceprint feature of the target object, first acquiring a historical recording of the target object, and acquiring a voiceprint feature of the target object according to the historical recording of the target object. It should be noted that when acquiring the voiceprint feature of the target object, the voiceprint feature of each target object is obtained according to the historical recording of each target object.

Step S402: Acquire a voiceprint feature of the object to be identified according to the historical recording of the object to be identified.

In a specific application, the historical recordings of each object to be identified are respectively acquired, and the voiceprint features of the object to be identified are obtained according to the historical recording of each object to be identified.

Step S403: Match the voiceprint feature of the object to be identified with the voiceprint feature of the target object.

In a specific application, the voiceprint features of each object to be identified are matched with the voiceprint features of each target object. When the voiceprint feature of the object to be identified matches the voiceprint feature of a certain target object, it indicates that the object to be recognized is the target object.

Step S404: If the matching degree exceeds the preset matching degree threshold, the task corresponding to the object to be identified is set as an invalid task.

It should be noted that the preset matching threshold refers to a preset threshold for measuring whether the voiceprint feature of the object to be identified matches the voiceprint feature of the target object, and the voiceprint feature of the object to be recognized and the voiceprint of the target object. If the matching degree of the feature exceeds the preset matching threshold, it indicates that the voiceprint feature of the object to be identified matches the voiceprint feature of the target object.

In a specific application, if the voiceprint feature of the object to be identified matches the voiceprint feature of the target object, it indicates that the object to be identified is the target object (agent), and therefore the task corresponding to the object to be identified is set as an invalid task.

Embodiment 5:

As shown in FIG. 5, the present embodiment provides a task allocation system 100, which is used to perform the method steps in the first embodiment, which includes: a task to be delivered, an identity acquisition module 102, a matching module 103, and a matching. The invalid module 104 and the delete module 105.

The task obtaining module 101 is configured to obtain a task list to be delivered.

The identity information obtaining module 102 is configured to obtain identity information of the object to be identified in the task list to be delivered;

The matching module 103 is configured to match the identity information of the object to be identified by presetting the identity information of the target object in the target object database;

The matching invalidation module 104 is configured to: if the identity information of the object to be identified matches the identity information of the target object, set the task corresponding to the object to be identified as an invalid task;

The deleting module 105 is configured to delete the invalid task from the task list to be delivered, obtain a valid task list, and send the valid task list.

It should be noted that the task distribution system provided by the embodiment of the present application is based on the same concept as the method embodiment shown in FIG. 1 of the present application, and the technical effects thereof are the same as those of the method embodiment shown in FIG. 1 of the present application. For reference, refer to the description in the method embodiment shown in FIG. 1 of the present application, and details are not described herein again.

Example 6:

As shown in FIG. 6 , the present embodiment provides a task distribution system 200 for performing the method steps in the second embodiment, including: a traffic volume obtaining module 201, a first threshold determining module 202, and a preset threshold invalidating module 203. .

The traffic acquisition module 201 is configured to obtain the traffic volume of the object to be identified within a preset time period if the identity information of the object to be identified does not match the identity information of the target object.

The first threshold determining module 202 is configured to determine whether the traffic volume is greater than a first preset threshold.

The preset threshold invalidation module 203 is configured to set the task corresponding to the object to be identified as an invalid task if the traffic volume is greater than the first preset threshold.

In an embodiment, the task distribution system further includes: a second threshold determination module and a suspected target object matching module.

a second threshold determining module, configured to set the object to be identified as a suspect target object within a preset time interval, if the traffic volume is not greater than a first preset threshold, and the traffic volume is greater than a second preset threshold Matching the identity information of the suspect target object with the identity information of the target object in the target object database, where the first preset threshold is greater than the second preset threshold;

The suspected target object matching module is configured to: if the identity information of the suspected target object matches the identity information of the target object, set the task corresponding to the suspected target object as an invalid task.

Example 7:

As shown in FIG. 7, a task distribution system 300 is provided to perform the method steps in the third embodiment, including: an audio acquisition module 301, a conversion module 302, an identification module 303, and a keyword invalidation module 304. .

The audio acquisition module 301 is configured to acquire a historical recording of the object to be identified and extract audio data if the identity information of the object to be identified does not match the identity information of the target object.

The conversion module 302 is configured to convert the audio data into text data.

The identification module 303 is configured to identify whether the preset data is included in the text data.

The keyword invalidation module 304 is configured to set the task corresponding to the object to be identified as an invalid task if the text data includes a preset keyword.

Example 8:

As shown in FIG. 8 , the task distribution system 400 is configured to perform the method steps in the fourth embodiment, and includes: a target voiceprint acquisition module 401, a voiceprint acquisition module 402, and a voiceprint matching module. 403 and a matching threshold invalidation module 404.

The target voiceprint obtaining module 401 is configured to obtain the voiceprint feature of the target object according to the historical recording of the target object if the identity information of the object to be identified does not match the identity information of the target object.

The voiceprint acquisition module 402 is configured to acquire the voiceprint feature of the object to be identified according to the historical recording of the object to be identified.

The voiceprint matching module 403 is configured to match the voiceprint feature of the object to be identified with the voiceprint feature of the target object.

The matching threshold invalidation module 404 is configured to set the task corresponding to the object to be identified as an invalid task if the matching degree exceeds the preset matching degree threshold.

Example 9:

FIG. 9 is a schematic diagram of a terminal device provided in Embodiment 9 of the present application. As shown in FIG. 9, the terminal device 9 of this embodiment includes a processor 90, a memory 91, and computer readable instructions 92, such as programs, stored in the memory 91 and executable on the processor 90. The processor 90 executes the computer readable instructions 92 to implement the steps in the various blockchain-based vehicle violation detection method embodiments, such as steps S101 to S105 shown in FIG. Alternatively, the processor 90 implements the functions of the modules/units in the above-described system embodiments when the computer readable instructions 92 are executed, such as the functions of the modules 101-105 shown in FIG.

Illustratively, the computer readable instructions 92 may be partitioned into one or more modules/units that are stored in the memory 91 and executed by the processor 90, To complete this application. The one or more modules/units may be a series of computer readable instruction instruction segments capable of performing a particular function, the instruction segments being used to describe the execution of the computer readable instructions 92 in the terminal device 9. For example, the computer readable instructions 92 may be divided into a task to be delivered, an identity information acquisition module, a matching module, a matching invalid module, and a deletion module. The specific functions of each module are as follows:

The task obtaining module is configured to obtain a task list to be delivered.

An identity information obtaining module, configured to acquire identity information of an object to be identified in the task list to be delivered,

The terminal device 9 may be a computing device such as a desktop computer, a notebook, a palmtop computer, and a cloud management server. The terminal device may include, but is not limited to, a processor 90 and a memory 91. It will be understood by those skilled in the art that FIG. 9 is only an example of the terminal device 9, does not constitute a limitation of the terminal device 9, may include more or less components than those illustrated, or combine some components, or different components. For example, the terminal device may further include an input/output device, a network access device, a bus, and the like.

The so-called processor 90 can be a central processing unit (Central Processing Unit, CPU), can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (Application Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor or any conventional processor or the like.

The memory 91 may be an internal storage unit of the terminal device 9, such as a hard disk or a memory of the terminal device 9. The memory 91 may also be an external storage device of the terminal device 9, for example, a plug-in hard disk provided on the terminal device 9, a smart memory card (SMC), and a secure digital (SD). Card, flash card (Flash Card) and so on. Further, the memory 91 may also include both an internal storage unit of the terminal device 9 and an external storage device. The memory 91 is configured to store the computer readable instructions and other programs and data required by the terminal device. The memory 91 can also be used to temporarily store data that has been output or is about to be output.

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the division of each functional unit and module described above is exemplified. In practical applications, the above functions may be assigned to different functional units as needed. The module is completed by dividing the internal structure of the system into different functional units or modules to perform all or part of the functions described above. Each functional unit and module in the embodiment may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit, and the integrated unit may be hardware. Formal implementation can also be implemented in the form of software functional units. In addition, the specific names of the respective functional units and modules are only for the purpose of facilitating mutual differentiation, and are not intended to limit the scope of protection of the present application. For the specific working process of the unit and the module in the foregoing wireless terminal, reference may be made to the corresponding process in the foregoing method embodiment, and details are not described herein again.

In the above embodiments, the descriptions of the various embodiments are different, and the parts that are not detailed or described in a certain embodiment can be referred to the related descriptions of other embodiments.

Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the various examples described in connection with the embodiments disclosed herein can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the solution. A person skilled in the art can use different methods to implement the described functions for each particular application, but such implementation should not be considered to be beyond the scope of the present application.

In the embodiments provided by the present application, it should be understood that the disclosed system/terminal device and method may be implemented in other manners. For example, the system/terminal device embodiment described above is merely illustrative. For example, the division of the module or unit is only a logical function division. In actual implementation, there may be another division manner, for example, multiple units. Or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, system or unit, and may be in electrical, mechanical or other form.

The units provided as separate component descriptions may or may not be physically separated, and the components arranged for unit display may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. on. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

The integrated modules/units, if implemented in the form of software functional units and arranged to be sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, the present application implements all or part of the processes in the foregoing embodiments, and may also be implemented by computer readable instructions, which may be stored in a computer readable storage medium. The computer readable instructions, when executed by a processor, may implement the steps of the various method embodiments described above. Wherein, the computer readable instructions comprise computer readable instruction code, which may be in the form of source code, an object code form, an executable file or some intermediate form or the like. The computer readable medium can include any entity or system capable of carrying the computer readable instruction code, a recording medium, a USB flash drive, a removable hard drive, a magnetic disk, an optical disk, a computer memory, a read only memory (ROM, Read-Only) Memory), random access memory (RAM, Random) Access Memory), electrical carrier signals, telecommunications signals, and software distribution media. It should be noted that the content contained in the computer readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in a jurisdiction, for example, in some jurisdictions, according to legislation and patent practice, computer readable media It does not include electrical carrier signals and telecommunication signals.

The above-mentioned embodiments are only used to explain the technical solutions of the present application, and are not limited thereto; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still implement the foregoing embodiments. The technical solutions described in the examples are modified or equivalently replaced with some of the technical features; and the modifications or substitutions do not deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in Within the scope of protection of this application.

Claims

A task assignment method, comprising:

Obtain a list of tasks to be delivered;

Obtaining identity information of the object to be identified in the task list to be delivered;

Matching the identity information of the object to be identified by the identity information of the target object in the preset target object database;

And if the identity information of the object to be identified matches the identity information of the target object, setting the task corresponding to the object to be identified as an invalid task;

Deleting the invalid task from the task list to be delivered, obtaining a valid task list, and delivering the valid task list.
The task assignment method according to claim 1, further comprising:

If the identity information of the object to be identified does not match the identity information of the target object, obtain the traffic volume of the object to be identified within a preset time period;

Determining whether the traffic volume is greater than a first preset threshold;

If the traffic volume is greater than the first preset threshold, the task corresponding to the object to be identified is set as an invalid task.
The task assignment method according to claim 2, further comprising:

If the traffic volume is not greater than the first preset threshold, and the traffic volume is greater than the second preset threshold, the object to be identified is set as a suspect target object, and the suspect target object is set in a preset time interval. The identity information is matched with the identity information of the target object in the target object database, where the first preset threshold is greater than the second preset threshold;

And if the identity information of the suspected target object matches the identity information of the target object, setting the task corresponding to the suspected target object as an invalid task.
The task assignment method according to claim 1, further comprising:

If the identity information of the object to be identified does not match the identity information of the target object, obtain a historical recording of the object to be identified, and extract audio data;

Converting the audio data into text data;

Identifying whether the text data includes a preset keyword;

If the text data includes a preset keyword, the task corresponding to the object to be identified is set as an invalid task.
The task assignment method according to claim 1, further comprising:

If the identity information of the object to be identified does not match the identity information of the target object, obtaining a voiceprint feature of the target object according to a historical recording of the target object;

Obtaining a voiceprint feature of the object to be identified according to the historical recording of the object to be identified;

Matching the voiceprint feature of the object to be identified with the voiceprint feature of the target object;

If the matching degree exceeds the preset matching degree threshold, the task corresponding to the object to be identified is set as an invalid task.
A task distribution system, comprising:

The task obtaining module is configured to obtain a task list to be delivered.

An identity information obtaining module, configured to acquire identity information of an object to be identified in the task list to be delivered;

a matching module, configured to match identity information of the object to be identified by presetting the identity information of the target object in the target object database;

And the matching invalidation module is configured to: if the identity information of the object to be identified matches the identity information of the target object, set the task corresponding to the object to be identified as an invalid task;

And a deletion module, configured to delete the invalid task from the task list to be delivered, obtain a valid task list, and deliver the valid task list.
The task distribution system according to claim 6, further comprising:

The traffic acquisition module is configured to acquire the traffic volume of the object to be identified within a preset time period if the identity information of the object to be identified does not match the identity information of the target object.

The first threshold determining module is configured to determine whether the traffic volume is greater than a first preset threshold.

The preset threshold invalidation module is configured to set the task corresponding to the object to be identified as an invalid task if the traffic volume is greater than the first preset threshold.
The task distribution system according to claim 7, further comprising:

a second threshold determining module, configured to set the object to be identified as a suspect target object within a preset time interval, if the traffic volume is not greater than a first preset threshold, and the traffic volume is greater than a second preset threshold Matching the identity information of the suspect target object with the identity information of the target object in the target object database, where the first preset threshold is greater than the second preset threshold;

The suspected target object matching module is configured to: if the identity information of the suspected target object matches the identity information of the target object, set the task corresponding to the suspected target object as an invalid task.
The task distribution system according to claim 6, further comprising:

An audio acquisition module, configured to: if the identity information of the object to be identified does not match the identity information of the target object, acquire a historical recording of the object to be identified, and extract audio data;

a conversion module, configured to convert the audio data into text data;

An identification module, configured to identify whether the text data includes a preset keyword;

The keyword invalidation module is configured to set the task corresponding to the object to be identified as an invalid task if the text data includes a preset keyword.
The task distribution system according to claim 6, further comprising:

a target voiceprint acquiring module, configured to obtain a voiceprint feature of the target object according to the historical recording of the target object if the identity information of the object to be identified does not match the identity information of the target object;

a voiceprint acquisition module, configured to acquire a voiceprint feature of the object to be identified according to the historical recording of the object to be identified;

a voiceprint matching module, configured to match a voiceprint feature of the object to be identified with a voiceprint feature of the target object;

The matching threshold invalidation module is configured to set the task corresponding to the object to be identified as an invalid task if the matching degree exceeds the preset matching degree threshold.
A terminal device comprising a memory, a processor, and computer readable instructions stored in the memory and operable on the processor, wherein the processor executes the computer readable instructions as follows step:

Obtain a list of tasks to be delivered;

Obtaining identity information of the object to be identified in the task list to be delivered;

Matching the identity information of the object to be identified by the identity information of the target object in the preset target object database;

And if the identity information of the object to be identified matches the identity information of the target object, setting the task corresponding to the object to be identified as an invalid task;

Deleting the invalid task from the task list to be delivered, obtaining a valid task list, and delivering the valid task list.
The terminal device according to claim 11, wherein the processor further implements the following steps when the computer readable instructions are executed:

If the identity information of the object to be identified does not match the identity information of the target object, obtain the traffic volume of the object to be identified within a preset time period;

Determining whether the traffic volume is greater than a first preset threshold;

If the traffic volume is greater than the first preset threshold, the task corresponding to the object to be identified is set as an invalid task.
The terminal device according to claim 12, wherein the processor further implements the following steps when the computer readable instructions are executed:

If the traffic volume is not greater than the first preset threshold, and the traffic volume is greater than the second preset threshold, the object to be identified is set as a suspect target object, and the suspect target object is set in a preset time interval. The identity information is matched with the identity information of the target object in the target object database, where the first preset threshold is greater than the second preset threshold;

And if the identity information of the suspected target object matches the identity information of the target object, setting the task corresponding to the suspected target object as an invalid task.
The terminal device according to claim 11, wherein the processor further implements the following steps when the computer readable instructions are executed:

If the identity information of the object to be identified does not match the identity information of the target object, obtain a historical recording of the object to be identified, and extract audio data;

Converting the audio data into text data;

Identifying whether the text data includes a preset keyword;

If the text data includes a preset keyword, the task corresponding to the object to be identified is set as an invalid task.
The terminal device according to claim 11, wherein the processor further implements the following steps when the computer readable instructions are executed:

If the identity information of the object to be identified does not match the identity information of the target object, obtaining a voiceprint feature of the target object according to a historical recording of the target object;

Obtaining a voiceprint feature of the object to be identified according to the historical recording of the object to be identified;

Matching the voiceprint feature of the object to be identified with the voiceprint feature of the target object;

If the matching degree exceeds the preset matching degree threshold, the task corresponding to the object to be identified is set as an invalid task.
A computer readable storage medium storing computer readable instructions, wherein the computer readable instructions, when executed by a processor, implement the following steps:

Obtain a list of tasks to be delivered;

Obtaining identity information of the object to be identified in the task list to be delivered;

Matching the identity information of the object to be identified by the identity information of the target object in the preset target object database;

And if the identity information of the object to be identified matches the identity information of the target object, setting the task corresponding to the object to be identified as an invalid task;

Deleting the invalid task from the task list to be delivered, obtaining a valid task list, and delivering the valid task list.
The computer readable storage medium of claim 16, wherein the computer readable instructions are further executed by the processor to:

If the identity information of the object to be identified does not match the identity information of the target object, obtain the traffic volume of the object to be identified within a preset time period;

Determining whether the traffic volume is greater than a first preset threshold;

If the traffic volume is greater than the first preset threshold, the task corresponding to the object to be identified is set as an invalid task.
The computer readable storage medium of claim 17, wherein the computer readable instructions are further executed by the processor to:

If the traffic volume is not greater than the first preset threshold, and the traffic volume is greater than the second preset threshold, the object to be identified is set as a suspect target object, and the suspect target object is set in a preset time interval. The identity information is matched with the identity information of the target object in the target object database, where the first preset threshold is greater than the second preset threshold;

And if the identity information of the suspected target object matches the identity information of the target object, setting the task corresponding to the suspected target object as an invalid task.
The computer readable storage medium of claim 16, wherein the computer readable instructions are further executed by the processor to:

If the identity information of the object to be identified does not match the identity information of the target object, obtain a historical recording of the object to be identified, and extract audio data;

Converting the audio data into text data;

Identifying whether the text data includes a preset keyword;

If the text data includes a preset keyword, the task corresponding to the object to be identified is set as an invalid task.
The computer readable storage medium of claim 16, wherein the computer readable instructions are further executed by the processor to:

If the identity information of the object to be identified does not match the identity information of the target object, obtaining a voiceprint feature of the target object according to a historical recording of the target object;

Obtaining a voiceprint feature of the object to be identified according to the historical recording of the object to be identified;

Matching the voiceprint feature of the object to be identified with the voiceprint feature of the target object;

If the matching degree exceeds the preset matching degree threshold, the task corresponding to the object to be identified is set as an invalid task.