CN112291441A - Intelligent robot scheduling method and device and electronic equipment - Google Patents
Intelligent robot scheduling method and device and electronic equipment Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M3/00—Automatic or semi-automatic exchanges
- H04M3/42—Systems providing special services or facilities to subscribers
- H04M3/50—Centralised arrangements for answering calls; Centralised arrangements for recording messages for absent or busy subscribers ; Centralised arrangements for recording messages
- H04M3/527—Centralised call answering arrangements not requiring operator intervention
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/332—Query formulation
- G06F16/3329—Natural language query formulation or dialogue systems
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
- G06F9/505—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the load
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04M2242/18—Automated outdialling systems
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Abstract
The invention relates to the technical field of computers, in particular to an intelligent robot scheduling method, an intelligent robot scheduling device and electronic equipment, wherein the intelligent robot scheduling method comprises the following steps: acquiring list data to be dialed; scheduling list data to be dialed, and scheduling an algorithm matched with the list data to be dialed in an intelligent algorithm center for rule analysis; performing instruction analysis on the list data to be dialed after rule analysis to obtain instruction data; calling according to the instruction data, and monitoring calling events; and scheduling the monitoring event and adjusting the seat, the dialect of the robot and the outbound strategy according to the monitoring event. The invention provides a high-efficiency stable outbound service, can flexibly expand capacity along with the increase of traffic, provides different command centers for the most reasonable outbound dispatching according to different service scenes, can quickly integrate and disassemble each module, and is convenient for quick experimental adjustment.
Description
Technical Field
The invention relates to the technical field of computers, in particular to an intelligent robot scheduling method and device and electronic equipment.
Background
The intelligent robot is complex software designed in multiple software technical fields, obviously, the technical software is integrated, when the robot is online in a certain business field, the effect of the robot needs to have data indexes as comparison, the speed of the experiment directly influences the production output, and in this time, fast iteration is performed, or the integration of different business modules is more and more complex and the fast iteration is accompanied with risks.
Meanwhile, different service scenes require different outbound modes, and the passing output caused by different scheduling details is greatly different.
Disclosure of Invention
The invention provides an intelligent robot scheduling method, an intelligent robot scheduling device and electronic equipment, which are used for providing a high-efficiency stable outbound service, can be used for quickly integrating and disassembling modules and are convenient for quick experimental adjustment.
An embodiment of the present specification provides an intelligent robot scheduling method, including:
acquiring list data to be dialed;
scheduling list data to be dialed, and scheduling an algorithm matched with the list data to be dialed in an intelligent algorithm center for rule analysis;
performing instruction analysis on the list data to be dialed after rule analysis to obtain instruction data;
calling according to the instruction data, and monitoring calling events;
and scheduling the monitoring event and adjusting the seat, the dialect of the robot and the outbound strategy according to the monitoring event.
Preferably, the obtaining the list data to be dialed includes:
acquiring list data from a service system;
scheduling the intelligent algorithm center to match the list data to obtain the list data to be dialed;
and sending the list data to be dialed to a list pool to be dialed, and synthesizing a corresponding voice file through TTS.
Preferably, the scheduling the to-be-dialed list data includes:
monitoring the load pressure of the current server in real time;
and adjusting the speed of the data scheduling of the list to be dialed according to the load pressure.
Preferably, the calling out according to the instruction data includes:
calling out the list data to be dialed;
intelligently analyzing the conversation generated by the client in the outbound call in real time and carrying out conversation with the client again according to the intelligent analysis result;
and when the outbound call is finished, generating on-hook data and the integral intention identification of the client, storing the on-hook data and the integral intention identification of the client in a call storage, and simultaneously carrying out outbound policy adjustment on the current outbound call according to an outbound call result.
Preferably, the list data is obtained through a text file, a table file, a network application program interface, a database and a message queue.
Preferably, the instruction data includes an outbound gateway and an outbound mode, and the outbound mode includes an immediate outbound and a delayed outbound.
Preferably, the sending the to-be-dialed list data to a to-be-dialed list pool includes:
when the outbound mode is the immediate outbound, immediately sending the list data to be dialed to the list pool to be dialed;
and when the outbound mode is the delayed outbound, monitoring delayed dialing data through a monitor, and sending the list data to be dialed to the list pool to be dialed after preset time.
Preferably, the performing instruction analysis on the list data to be dialed after rule analysis includes:
and analyzing the list data to be dialed after rule analysis into an instruction for product-driven understanding through the instruction analysis.
Preferably, the intelligent algorithm center corresponds to a plurality of algorithm sets, and each piece of data matches one or more algorithms.
An embodiment of the present specification further provides an intelligent robot scheduling apparatus, including: the list acquisition module acquires list data to be dialed;
the rule analysis module is used for scheduling the list data to be dialed and scheduling an algorithm matched with the list data to be dialed in an intelligent algorithm center to carry out rule analysis;
the instruction analysis module is used for carrying out instruction analysis on the list data to be dialed after rule analysis to obtain instruction data;
the outbound module is used for carrying out outbound according to the instruction data and monitoring an outbound event;
and the outbound adjusting module is used for scheduling the monitoring event and adjusting the dialect of the seat and the robot and the outbound strategy according to the monitoring event.
Preferably, the obtaining the list data to be dialed includes:
acquiring list data from a service system;
scheduling the intelligent algorithm center to match the list data to obtain the list data to be dialed;
and sending the list data to be dialed to a list pool to be dialed, and synthesizing a corresponding voice file through TTS.
Preferably, the scheduling the to-be-dialed list data includes:
monitoring the load pressure of the current server in real time;
and adjusting the speed of the data scheduling of the list to be dialed according to the load pressure.
Preferably, the calling out according to the instruction data includes:
calling out the list data to be dialed;
intelligently analyzing the conversation generated by the client in the outbound call in real time and carrying out conversation with the client again according to the intelligent analysis result;
and when the outbound call is finished, generating on-hook data and the integral intention identification of the client, storing the on-hook data and the integral intention identification of the client in a call storage, and simultaneously carrying out outbound policy adjustment on the current outbound call according to an outbound call result.
Preferably, the list data is obtained through a text file, a table file, a network application program interface, a database and a message queue.
Preferably, the instruction data includes an outbound gateway and an outbound mode, and the outbound mode includes an immediate outbound and a delayed outbound.
Preferably, the sending the to-be-dialed list data to a to-be-dialed list pool includes:
when the outbound mode is the immediate outbound, immediately sending the list data to be dialed to the list pool to be dialed;
and when the outbound mode is the delayed outbound, monitoring delayed dialing data through a monitor, and sending the list data to be dialed to the list pool to be dialed after preset time.
Preferably, the performing instruction analysis on the list data to be dialed after rule analysis includes:
and analyzing the list data to be dialed after rule analysis into an instruction for product-driven understanding through the instruction analysis.
Preferably, the intelligent algorithm center corresponds to a plurality of algorithm sets, and each piece of data matches one or more algorithms.
An electronic device, wherein the electronic device comprises:
a processor and a memory storing computer executable instructions that, when executed, cause the processor to perform the method of any of the above.
A computer readable storage medium, wherein the computer readable storage medium stores one or more programs which, when executed by a processor, implement the method of any of the above.
The beneficial effects are that:
the invention provides a high-efficiency stable outbound service, can flexibly expand capacity along with the increase of traffic, provides different command centers for the most reasonable outbound dispatching according to different service scenes, can quickly integrate and disassemble each module, and is convenient for quick experimental adjustment.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a schematic diagram illustrating a scheduling method of an intelligent robot according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of an intelligent robot scheduling device provided in an embodiment of the present specification;
fig. 3 is a schematic structural diagram of an electronic device provided in an embodiment of the present disclosure;
fig. 4 is a schematic diagram of a computer-readable medium provided in an embodiment of the present specification.
Detailed Description
Exemplary embodiments of the present invention will now be described more fully with reference to the accompanying drawings. The exemplary embodiments, however, may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these exemplary embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the invention to those skilled in the art. The same reference numerals denote the same or similar elements, components, or parts in the drawings, and thus their repetitive description will be omitted.
Features, structures, characteristics or other details described in a particular embodiment do not preclude the fact that the features, structures, characteristics or other details may be combined in a suitable manner in one or more other embodiments in accordance with the technical idea of the invention.
In describing particular embodiments, the present invention has been described with reference to features, structures, characteristics or other details that are within the purview of one skilled in the art to provide a thorough understanding of the embodiments. One skilled in the relevant art will recognize, however, that the invention may be practiced without one or more of the specific features, structures, characteristics, or other details.
The diagrams depicted in the figures are exemplary only, and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order depicted. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.
The term "and/or" and/or "includes all combinations of any one or more of the associated listed items.
Referring to fig. 1, a schematic diagram of a scheduling method of an intelligent robot according to an embodiment of the present disclosure includes:
s101: acquiring list data to be dialed;
in the preferred embodiment of the invention, list data is obtained in the service system, then the list data is filtered and distributed through a list screening algorithm of the scheduling intelligent algorithm center, one part of the list data is distributed to the list library, and the other part of the list data is distributed to the list pool to be dialed. Therefore, list data to be dialed is obtained, the list data after filtering and distribution are placed in a message queue for calling in an outbound call, and meanwhile, the list data to be dialed distributed to a list pool to be dialed are synthesized into a corresponding voice file through TTS.
S102: scheduling list data to be dialed, and scheduling an algorithm matched with the list data to be dialed in an intelligent algorithm center for rule analysis;
in a preferred embodiment of the invention, the scheduling service monitors the load pressure of the current server in real time, adjusts the scheduling speed of the list data to be dialed according to the load pressure, simultaneously schedules a robot model algorithm to obtain an outbound command, transmits the outbound command to the traffic service to perform rule analysis to realize call transmission, schedules an algorithm matched with the list data to be dialed by an intelligent algorithm center to perform rule analysis, and transmits the analyzed list data to be dialed to the traffic service.
S103: performing instruction analysis on the list data to be dialed after rule analysis to obtain instruction data;
in a preferred embodiment of the present invention, the list data to be dialed after rule parsing is parsed into instructions understood by the product driver through instruction parsing, so as to obtain executable instruction data.
S104: calling according to the instruction data, and monitoring calling events;
in the preferred embodiment of the invention, an outbound call is carried out according to instruction data, an intelligent algorithm center of a dialogue text generated in the outbound call process and a client can intelligently analyze whether to inform a robot algorithm or discard the dialogue text or carry out other processing, when a reply of a robot model is obtained, data is put down to a telephone service again to generate dialogue with the client, when the outbound call is ended, a scheduling service can generate on-hook data and an integral intention identifier of the client into a conversation storage service, and simultaneously, whether the list service has other dialing strategies for the telephone call or not can be inquired, such as calling again after a period of delay, or immediate redialing due to interference of factors such as lines and the like.
S105: and scheduling the monitoring event and adjusting the seat, the dialect of the robot and the outbound strategy according to the monitoring event.
In a preferred embodiment of the present invention, the outbound agents, the robot call technique and the outbound policy are adjusted according to monitored events, wherein the monitored events include a call-through event, an outbound event, a play end event, a call end event, a user interrupt event, etc., and when the call is ended, the call records are stored in the call storage database.
Further, the obtaining of the list data to be dialed includes:
acquiring list data from a service system;
scheduling the intelligent algorithm center to match the list data to obtain the list data to be dialed;
and sending the list data to be dialed to a list pool to be dialed, and synthesizing a corresponding voice file through TTS.
In the preferred embodiment of the invention, list data is obtained in the service system, then the list data is filtered and distributed through a list screening algorithm of the scheduling intelligent algorithm center, one part of the list data is distributed to the list library, and the other part of the list data is distributed to the list pool to be dialed. Therefore, list data to be dialed is obtained, the list data after filtering and distribution are placed in a message queue for calling in an outbound call, and meanwhile, the list data to be dialed distributed to a list pool to be dialed are synthesized into a corresponding voice file through TTS.
Further, the scheduling the to-be-dialed list data includes:
monitoring the load pressure of the current server in real time;
and adjusting the speed of the data scheduling of the list to be dialed according to the load pressure.
In a preferred embodiment of the present invention, the scheduling service monitors the load pressure of the current server in real time, and adjusts the scheduling speed of the list data to be dialed according to the load pressure, so as to gradually consume the list data to be dialed in the list pool to be dialed, and meanwhile, the scheduling robot model algorithm obtains the outbound command, and transmits the outbound command to the telephone traffic service for rule analysis to realize the call transmission.
Specifically, when data is monitored, the task starts to fetch 1000 pieces of data each time and sends the 1000 pieces of data into the list pool to be dialed until the data is fetched, so as to ensure that the database resources are not excessively occupied by the door module.
Further, the calling out according to the instruction data includes:
calling out the list data to be dialed;
intelligently analyzing the conversation generated by the client in the outbound call in real time and carrying out conversation with the client again according to the intelligent analysis result;
and when the outbound call is finished, generating on-hook data and the integral intention identification of the client, storing the on-hook data and the integral intention identification of the client in a call storage, and simultaneously carrying out outbound policy adjustment on the current outbound call according to an outbound call result.
In the preferred embodiment of the invention, when an outbound call is made, the intelligent algorithm center of the dialogue text with the client generated in the outbound call process intelligently analyzes whether to inform the robot algorithm or discard the dialogue text or perform other processing, when the answer of the robot model is obtained, the data is put down to the telephone service again to generate dialogue with the client, when the dialogue is ended, the dispatching service generates the on-hook data and the whole intention mark of the client into the dialogue storage service, and simultaneously inquires whether the list service has other dialing strategies for the call, such as delaying the call for a period of time or needing to immediately redial due to the interference of factors such as lines and the like
Further, the list data is obtained through a text file, a table file, a network application program interface, a database and a message queue.
In the preferred embodiment of the present invention, the list data may be obtained through a file such as a text, a table, etc., may be a network application program interface, and may also be an intermediate medium such as a database or a message queue.
Further, the instruction data comprises an outbound gateway and an outbound mode, wherein the outbound mode comprises an immediate outbound and a delayed outbound.
Further, the sending the to-be-dialed list data to a to-be-dialed list pool includes:
when the outbound mode is the immediate outbound, immediately sending the list data to be dialed to the list pool to be dialed;
and when the outbound mode is the delayed outbound, monitoring delayed dialing data through a monitor, and sending the list data to be dialed to the list pool to be dialed after preset time.
In the preferred embodiment of the invention, the list data to be dialed comprises two outbound modes, and when the outbound mode is immediate outbound, the list data to be dialed is immediately sent to the list pool to be dialed; when the outbound mode is delayed outbound, the monitor monitors delayed dialing data, when the delay time is finished, the list data to be dialed is sent to the list pool to be dialed, and simultaneously, the related voice file is synthesized by using TTS technology while the list data to be dialed is sent to the list pool to be dialed.
Further, the performing instruction analysis on the list data to be dialed after rule analysis includes:
and analyzing the list data to be dialed after rule analysis into an instruction for product-driven understanding through the instruction analysis.
In the preferred embodiment of the invention, the telephone traffic service is responsible for analyzing the data transmitted by the scheduling algorithm center into the instruction which can be understood by the outbound service, and simultaneously, the conversation time subscribed to the bottom layer outbound service is transmitted to the intelligent algorithm center; the integrated language processing module in the outbound service is used for converting the voice information of the client into text information.
Further, the intelligent algorithm center corresponds to a plurality of algorithm sets, and each piece of data matches one or more algorithms.
In the preferred embodiment of the invention, the intelligent algorithm center corresponds to a plurality of algorithm sets, and each piece of data can find one or more matched algorithms in the intelligent algorithm center, so that a plurality of instructions are obtained.
In the preferred embodiment of the invention, the intelligent algorithm center can sense and reasonably adjust the dialing speed in real time according to the number of sessions in the ringing and the call of the current outbound service and the load condition of the server.
The invention provides a high-efficiency stable outbound service, can flexibly expand capacity along with the increase of traffic, provides different command centers for the most reasonable outbound dispatching according to different service scenes, can quickly integrate and disassemble each module, and is convenient for quick experimental adjustment.
Fig. 2 is a schematic structural diagram of an intelligent robot scheduling apparatus provided in an embodiment of the present specification, including:
the list acquisition module 201 acquires list data to be dialed;
in a preferred embodiment of the present invention, the list obtaining module 201 obtains list data in the service system, and then performs filtering distribution on the list data through a list screening algorithm of the scheduling intelligent algorithm center, wherein a part of the list data is distributed to the list library, and a part of the list data is distributed to the list pool to be dialed. Therefore, list data to be dialed is obtained, the list data after filtering and distribution are placed in a message queue for calling in an outbound call, and meanwhile, the list data to be dialed distributed to a list pool to be dialed are synthesized into a corresponding voice file through TTS.
The rule analysis module 202 is used for scheduling the list data to be dialed and scheduling an algorithm matched with the list data to be dialed in an intelligent algorithm center for rule analysis;
in a preferred embodiment of the invention, the scheduling service monitors the load pressure of the current server in real time, adjusts the scheduling speed of the list data to be dialed according to the load pressure, simultaneously schedules a robot model algorithm to obtain an outbound command, transmits the outbound command to the traffic service to perform rule analysis to realize call transmission, schedules an algorithm matched with the list data to be dialed by an intelligent algorithm center to perform rule analysis, and transmits the analyzed list data to be dialed to the traffic service.
The instruction analysis module 203 is used for carrying out instruction analysis on the list data to be dialed after rule analysis to obtain instruction data;
in a preferred embodiment of the present invention, the instruction parsing module 203 parses the rule parsed list data to be dialed into an instruction understood by the product driver through instruction parsing, so as to obtain executable instruction data.
The outbound module 204 is used for carrying out outbound according to the instruction data and monitoring an outbound event;
in a preferred embodiment of the present invention, the outbound module 204 performs an outbound according to the instruction data, an intelligent algorithm center of a dialog text generated during the outbound process and associated with the client intelligently analyzes whether to notify the robot algorithm or discard the robot algorithm or perform other processing, when a reply of the robot model is obtained, data is downloaded to the telephone service again to generate a dialog with the client, when the outbound is ended, the dispatch service generates the on-hook data and the entire intention identifier of the client in the call storage service, and simultaneously queries whether the list service has other dialing strategies for the telephone call, such as a delay for a period of time and then dialing again, or an immediate redialing due to interference of factors such as lines.
And the outbound adjusting module 205 is used for scheduling the monitoring event and adjusting the seat, the dialect of the robot and the outbound strategy according to the monitoring event.
In a preferred embodiment of the present invention, the outbound adjusting module 205 adjusts the outbound seat, the robot call, and the outbound policy according to the monitored events, wherein the monitored events include a call-on event, an outbound event, a play end event, a call end event, a user interrupt event, and the like, and when the call is ended, the call record is stored in the call storage database.
Further, the obtaining of the list data to be dialed includes:
acquiring list data from a service system;
scheduling the intelligent algorithm center to match the list data to obtain the list data to be dialed;
and sending the list data to be dialed to a list pool to be dialed, and synthesizing a corresponding voice file through TTS.
Further, the scheduling the to-be-dialed list data includes:
monitoring the load pressure of the current server in real time;
and adjusting the speed of the data scheduling of the list to be dialed according to the load pressure.
Further, the calling out according to the instruction data includes:
calling out the list data to be dialed;
intelligently analyzing the conversation generated by the client in the outbound call in real time and carrying out conversation with the client again according to the intelligent analysis result;
and when the outbound call is finished, generating on-hook data and the integral intention identification of the client, storing the on-hook data and the integral intention identification of the client in a call storage, and simultaneously carrying out outbound policy adjustment on the current outbound call according to an outbound call result.
Further, the list data is obtained through a text file, a table file, a network application program interface, a database and a message queue.
Further, the instruction data comprises an outbound gateway and an outbound mode, wherein the outbound mode comprises an immediate outbound and a delayed outbound.
Further, the sending the to-be-dialed list data to a to-be-dialed list pool includes:
when the outbound mode is the immediate outbound, immediately sending the list data to be dialed to the list pool to be dialed;
and when the outbound mode is the delayed outbound, monitoring delayed dialing data through a monitor, and sending the list data to be dialed to the list pool to be dialed after preset time.
Further, the performing instruction analysis on the list data to be dialed after rule analysis includes:
and analyzing the list data to be dialed after rule analysis into an instruction for product-driven understanding through the instruction analysis.
Further, the intelligent algorithm center corresponds to a plurality of algorithm sets, and each piece of data matches one or more algorithms.
The invention provides a high-efficiency stable outbound service, can flexibly expand capacity along with the increase of traffic, provides different command centers for the most reasonable outbound dispatching according to different service scenes, can quickly integrate and disassemble each module, and is convenient for quick experimental adjustment.
Based on the same inventive concept, the embodiment of the specification further provides the electronic equipment.
In the following, embodiments of the electronic device of the present invention are described, which may be regarded as specific physical implementations for the above-described embodiments of the method and apparatus of the present invention. Details described in the embodiments of the electronic device of the invention should be considered supplementary to the embodiments of the method or apparatus described above; for details which are not disclosed in embodiments of the electronic device of the invention, reference may be made to the above-described embodiments of the method or the apparatus.
Fig. 3 is a schematic structural diagram of an electronic device provided in an embodiment of the present specification. An electronic device 300 according to this embodiment of the invention is described below with reference to fig. 3. The electronic device 300 shown in fig. 3 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 3, electronic device 300 is embodied in the form of a general purpose computing device. The components of electronic device 300 may include, but are not limited to: at least one processing unit 310, at least one memory unit 320, a bus 330 connecting different device components (including the memory unit 320 and the processing unit 310), a display unit 340, and the like.
Wherein the storage unit stores program code executable by the processing unit 310 to cause the processing unit 310 to perform the steps according to various exemplary embodiments of the present invention described in the above-mentioned processing method section of the present specification. For example, the processing unit 310 may perform the steps as shown in fig. 1.
The storage unit 320 may include readable media in the form of volatile storage units, such as a random access memory unit (RAM)3201 and/or a cache storage unit 3202, and may further include a read only memory unit (ROM) 3203.
The storage unit 320 may also include a program/utility 3204 having a set (at least one) of program modules 3205, such program modules 3205 including, but not limited to: an operating device, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The electronic device 300 may also communicate with one or more external devices 400 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 300, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 300 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 350. Also, the electronic device 300 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 360. Network adapter 360 may communicate with other modules of electronic device 300 via bus 330. It should be appreciated that although not shown in FIG. 3, other hardware and/or software modules may be used in conjunction with electronic device 300, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID devices, tape drives, and data backup storage devices, to name a few.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments of the present invention described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiment of the present invention can be embodied in the form of a software product, which can be stored in a computer-readable storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to make a computing device (which can be a personal computer, a server, or a network device, etc.) execute the above-mentioned method according to the present invention. The computer program, when executed by a data processing apparatus, enables the computer readable medium to implement the above-described method of the invention, namely: such as the method shown in fig. 1.
Fig. 4 is a schematic diagram of a computer-readable medium provided in an embodiment of the present disclosure.
A computer program implementing the method shown in fig. 1 may be stored on one or more computer readable media. The computer readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor device, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable storage medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable storage medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution apparatus, device, or apparatus. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
In summary, the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that some or all of the functionality of some or all of the components in embodiments in accordance with the invention may be implemented in practice using a general purpose data processing device such as a microprocessor or a Digital Signal Processor (DSP). The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
While the foregoing embodiments have described the objects, aspects and advantages of the present invention in further detail, it should be understood that the present invention is not inherently related to any particular computer, virtual machine or electronic device, and various general-purpose machines may be used to implement the present invention. The invention is not to be considered as limited to the specific embodiments thereof, but is to be understood as being modified in all respects, all changes and equivalents that come within the spirit and scope of the invention.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. An intelligent robot scheduling method, comprising:
acquiring list data to be dialed;
scheduling list data to be dialed, and scheduling an algorithm matched with the list data to be dialed in an intelligent algorithm center for rule analysis;
performing instruction analysis on the list data to be dialed after rule analysis to obtain instruction data;
calling according to the instruction data, and monitoring calling events;
and scheduling the monitoring event and adjusting the seat, the dialect of the robot and the outbound strategy according to the monitoring event.
2. The intelligent robot scheduling method of claim 1 wherein the obtaining list data to be dialed comprises:
acquiring list data from a service system;
scheduling the intelligent algorithm center to match the list data to obtain the list data to be dialed;
and sending the list data to be dialed to a list pool to be dialed, and synthesizing a corresponding voice file through TTS.
3. The intelligent robot scheduling method of claim 1 or 2, wherein the scheduling of the to-be-dialed list data comprises:
monitoring the load pressure of the current server in real time;
and adjusting the speed of the data scheduling of the list to be dialed according to the load pressure.
4. The intelligent robot scheduling method of any one of claims 1-3, wherein said calling out according to the instruction data comprises:
calling out the list data to be dialed;
intelligently analyzing the conversation generated by the client in the outbound call in real time and carrying out conversation with the client again according to the intelligent analysis result;
and when the outbound call is finished, generating on-hook data and the integral intention identification of the client, storing the on-hook data and the integral intention identification of the client in a call storage, and simultaneously carrying out outbound policy adjustment on the current outbound call according to an outbound call result.
5. The intelligent robot scheduling method of any one of claims 1-4 wherein the instruction data comprises outbound gateway, outbound mode, the outbound mode comprising immediate outbound, delayed outbound.
6. The intelligent robot scheduling method of any one of claims 1-5 wherein sending the roster data to be dialed to a roster pool to be dialed comprises:
when the outbound mode is the immediate outbound, immediately sending the list data to be dialed to the list pool to be dialed;
and when the outbound mode is the delayed outbound, monitoring delayed dialing data through a monitor, and sending the list data to be dialed to the list pool to be dialed after preset time.
7. The intelligent robot scheduling method of any one of claims 1-6 wherein the intelligent algorithm center corresponds to a plurality of sets of algorithms, each datum matching one or more algorithms.
8. An intelligent robot scheduling device, comprising:
the list acquisition module acquires list data to be dialed;
the rule analysis module is used for scheduling the list data to be dialed and scheduling an algorithm matched with the list data to be dialed in an intelligent algorithm center to carry out rule analysis;
the instruction analysis module is used for carrying out instruction analysis on the list data to be dialed after rule analysis to obtain instruction data;
the outbound module is used for carrying out outbound according to the instruction data and monitoring an outbound event;
and the outbound adjusting module is used for scheduling the monitoring event and adjusting the dialect of the seat and the robot and the outbound strategy according to the monitoring event.
9. An electronic device, wherein the electronic device comprises:
a processor and a memory storing computer-executable instructions that, when executed, cause the processor to perform the method of any of claims 1-7.
10. A computer readable storage medium, wherein the computer readable storage medium stores one or more programs which, when executed by a processor, implement the method of any of claims 1-7.
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