CN111986676A - Intelligent process control method and device, electronic equipment and storage medium - Google Patents
Intelligent process control method and device, electronic equipment and storage medium Download PDFInfo
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- CN111986676A CN111986676A CN202010859076.5A CN202010859076A CN111986676A CN 111986676 A CN111986676 A CN 111986676A CN 202010859076 A CN202010859076 A CN 202010859076A CN 111986676 A CN111986676 A CN 111986676A
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
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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
- G06F16/60—Information retrieval; Database structures therefor; File system structures therefor of audio data
- G06F16/63—Querying
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/04—Real-time or near real-time messaging, e.g. instant messaging [IM]
Abstract
The embodiment of the invention discloses an intelligent process control method, an intelligent process control device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring voice messages input by users in enterprise WeChat; analyzing the voice message to determine the intention of the user; and matching the target command from a pre-stored command library according to the intention of the user so as to control the circulation of the business process in the process system according to the target command by the process engine. The embodiment of the invention can drive the flow circulation in a voice mode to realize the intelligent work order, thereby greatly facilitating the user, the user does not need to find the entry of the sub-function module step by step in numerous menus and then click to enter the operation, reducing the use threshold of the flow system, reducing the management working pressure of the flow system, and improving the working efficiency of the user and the use experience of the flow system.
Description
Technical Field
The invention relates to the technical field of outflow control, in particular to an intelligent process control method and device, electronic equipment and a storage medium.
Background
Currently, the existing process application software (i.e. process system) usually adopts a passive response mode, for example, a menu bar is displayed, menu items such as "my work order", "my to-do", "done work order" and the like are listed inside, and a user needs to click the menu to enter a corresponding function module and then operate related service data in the function module. The using process needs to click the menu item by item to enter the corresponding functional module, and the small-screen device such as a mobile phone is very inconvenient to use. Especially, it is not easy for a new user to quickly find a function module corresponding to a service. Further, the work efficiency of the user is affected and the use experience of the process system is poor.
Disclosure of Invention
Based on the problems in the prior art, embodiments of the present invention provide an intelligent process control method, an intelligent process control apparatus, an electronic device, and a storage medium.
In a first aspect, an embodiment of the present invention provides an intelligent process control method, including:
acquiring a voice message input by a user in enterprise WeChat, wherein the voice message is a voice message of a business process in a process system;
analyzing the voice message to determine the user's intent;
and matching to obtain a target command from a pre-stored command library according to the intention of the user so that the process engine can control the flow of the business process in the process system according to the target command, wherein the command in the command library is a command for controlling the flow of the business process in the process application software.
Further, the acquiring the voice message input by the user in the enterprise WeChat includes:
and calling an enterprise WeChat voice message API so as to acquire the voice message input by the user in the enterprise WeChat through the enterprise WeChat voice message API.
Further, the analyzing the voice message to determine the user's intent includes:
carrying out voice recognition on the voice message to obtain recognized text information;
and carrying out natural language processing on the text information to obtain the intention of the user.
Further, the target command is a page navigation command, and the process engine controls the flow of the business process in the process system according to the target command, including:
and controlling the process system to open a corresponding page by the process engine according to the page navigation command.
Further, the target command is a retrieval command, and the process engine controls the flow of the business process in the process system according to the target command, including:
and controlling the process system to perform query by the process engine according to the retrieval command, and displaying a corresponding query result in a query interface.
Further, the target command is a voice command, and the process engine controls the flow of the business process in the process system according to the target command, including:
and controlling the process system to process corresponding processing by the process engine according to the voice command.
Further, after the process engine controls the flow of the business process in the process system according to the target command, the method further includes:
acquiring historical data of the circulation of the business process in the process system,
and taking the historical data as a data sample, and performing machine learning to optimize the commands in the command library.
In a second aspect, an embodiment of the present invention further provides an intelligent process control apparatus, including:
the enterprise WeChat access module is used for acquiring a voice message input by a user in enterprise WeChat, wherein the voice message is a voice message of a business process in a process system;
an analysis module for analyzing the voice message to determine the user's intent;
the command executor is used for matching a target command from a pre-stored command library according to the intention of the user;
and the flow engine is used for controlling the flow of the business flow in the flow system according to the target command, wherein the command in the command library is a command for controlling the flow of the business flow in the flow application software.
In a third aspect, an embodiment of the present invention further provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the intelligent process control according to the first aspect when executing the computer program.
In a fourth aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the intelligent process control according to the first aspect.
According to the technical scheme, the intelligent process control device, the intelligent electronic equipment and the intelligent storage medium provided by the embodiment of the invention can drive the process flow to realize the intelligent work order in a voice mode aiming at enterprise WeChat users, so that great convenience is brought to the users, the users do not need to find the entry of the sub-function module step by step in numerous menus and then click to enter the operation, the use threshold of the process system is reduced, the management working pressure of the process system is reduced, and the working efficiency of the users and the use experience of the process system are improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of an intelligent process control method according to an embodiment of the present invention;
FIG. 2 is a flow chart of an intelligent process control method according to another embodiment of the present invention;
fig. 3 is a block diagram of an intelligent process control apparatus according to another embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The following further describes embodiments of the present invention with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
An intelligent flow control method, an intelligent flow control device, an electronic apparatus, and a storage medium according to embodiments of the present invention are described below with reference to the accompanying drawings.
Fig. 1 shows a flowchart of an intelligent process control method according to an embodiment of the present invention, and as shown in fig. 1 and combined with fig. 2, the intelligent process control method according to the embodiment of the present invention specifically includes the following contents:
s101: and acquiring voice messages input by users in the enterprise WeChat, wherein the voice messages are voice messages of business processes in the process system.
Wherein, the process system refers to process application software.
In one embodiment of the invention, enterprise wechat access is firstly carried out, and then an enterprise wechat voice message API is called so as to obtain the voice message input by the user in the enterprise wechat through the enterprise wechat voice message API.
For example: and the standard API mode of the enterprise WeChat is adopted for access, so that seamless integration with the enterprise WeChat is realized. After successful integration, the voice message of the user can be obtained through the enterprise WeChat voice message API, and certainly, the text message input by the user can also be obtained through the enterprise WeChat text message API, and the messages are sent to the voice recognition manager through the message bus for further processing
S102: the voice message is analyzed to determine the user's intent.
Parsing a voice message, including both voice recognition and semantic understanding, in particular, analyzing the voice message to determine the user's intent, includes: carrying out voice recognition on the voice message to obtain recognized text information; and performing natural language processing on the text information to obtain the intention of the user.
In a specific application, voice recognition can be performed through the voice recognition manager, a voice message can be sent to the voice recognition manager through the message bus, voice recognition is performed through the voice recognition manager, and the voice message is converted into a text message. For example: the voice recognition manager converts the voice message into a text message through the steps of voice preprocessing, feature extraction, pattern matching and the like on the voice message, namely: standard text.
In the above description, the speech recognition may adopt a pattern recognition method or a neural network recognition method, which is not described herein.
Upon recognition of the text message, the meaning of the text message expression may be recognized by the intent recognition manager, i.e.: the user's intent is identified. For example: text messages directly input by a user and voice messages (which have been converted into standard texts in the voice recognition manager) passed through the voice recognition manager are loaded into the intention recognition manager, and the intention recognition manager analyzes the main intention of the user. The intention recognition manager needs to perform natural language processing on the text message to determine the intention of the user. Natural Language Processing (NLP) enables various theories and methods for efficient communication between a person and a computer in natural language. The realization of man-machine natural language communication means that a computer can understand the meaning of natural language text and express given intention and thought in the natural language text. The NLP mainly includes two parts, namely Natural Language Understanding (NLU) and Natural Language Generation (NLG), which are not described herein.
S103: and matching to obtain a target command from a pre-stored command library according to the intention of a user so that a process engine controls the flow of the business process in the process system according to the target command, wherein the command in the command library is a command for controlling the flow of the business process in the process application software. Namely: commands can be matched from a pre-stored command library, and the command with the highest score is screened out through a scoring method after the matched commands are matched.
As shown in fig. 2, the target command is a page navigation command, and the process engine controls the flow of the business process in the process system according to the target command, including: and controlling the process system to open a corresponding page by the process engine according to the page navigation command.
The target command is a retrieval command, and the process engine controls the circulation of the business process in the process system according to the target command, and the method comprises the following steps: and controlling the process system to perform query by the process engine according to the retrieval command, and displaying a corresponding query result in a query interface.
The target command is a voice command, and the process engine controls the circulation of the business process in the process system according to the target command, including: and controlling the process system to process corresponding processing by the process engine according to the voice command.
The target command output by the intention recognition manager can be executed by a command executor, and the command executor executes commands one by one according to a predefined command sequence. The command drives the automated process engine (i.e., process engine) to begin running, and the process engine processes the traffic data stream from one state to another, pushing from one node to another.
For the process engine, the process engine can automatically run according to a predefined process template, and the process predefined actions are triggered by internal events, external events, timing events and the like in the running process, wherein the actions comprise processing data, controlling the flow direction of the process, notifying messages, starting sub-processes and the like. The flow state of the flow can also be pushed to the user in real time through the enterprise WeChat API, so that the user can grasp the business progress situation at any time and any place. For the flow needing the user to participate in the processing, whether the flow can be controlled by directly using voice or text in the enterprise WeChat is determined according to the actual condition of the business.
As a specific application, the page navigation command is as follows:
if the voice message input in the enterprise WeChat is that I need to handle the work order, the page of the work order to be handled in the flow system can be quickly opened according to the voice message; if the voice message is the work order processed by me, the page of the work order already processed can be quickly opened; the voice message is used for creating the leave list, and then the leave list page can be opened quickly.
For the retrieve command, the following:
if the voice message input in the enterprise Wechat is a work order with a search tail number of 123456, the query work order page can be opened in an express way, and the work order with the work order number of 123456 is queried.
For voice commands the following:
if the voice message input in the enterprise WeChat is the closing work order, the currently processed work order can be quickly closed.
According to the intelligent process control method provided by the embodiment of the invention, aiming at enterprise WeChat users, the process flow can be driven in a voice mode, and an intelligent work order is realized, so that great convenience is brought to the users, the users do not need to find the entry of the sub-function module step by step in numerous menus and then click to enter the operation, the use threshold of the process system is reduced, the management working pressure of the process system is reduced, and the working efficiency of the users and the use experience of the process system are improved.
Further, as shown in fig. 2, after the process engine controls the flow of the business process in the process system according to the target command, the method further includes: and acquiring historical data of the circulation of the business process in the process system, and performing machine learning by taking the historical data as a data sample so as to optimize the commands in the command library. Historical data can be loaded into the machine learning manager in due time through the machine learning manager, and then available new knowledge is generated in a semi-manual labeling mode and stored in a knowledge base. Knowledge in the knowledge base is used as a basis to provide support for a command base and a process engine. The commands in the command library are classified and labeled according to different functions, and the classification can include: the system comprises an operating system class, a database class, an LINUX class, a WINDOWS class, a hardware class, an IT service management class, a desktop operation and maintenance class, a network class, an operation and management class, a middleware class, a government class, an online office class and the like. Each type can be labeled by adopting a relatively independent label, and a weight value is set at the same time. Furthermore, new knowledge and new experience are generated through machine learning, and the service quality of the flow system is continuously and effectively improved.
Fig. 3 is a schematic structural diagram of an intelligent process control apparatus according to an embodiment of the present invention, and as shown in fig. 3, the intelligent process control apparatus according to the embodiment of the present invention includes: an enterprise WeChat Access Module 310, an analysis Module 320, a Command executor 330, and a flow Engine 340, wherein:
an enterprise wechat access module 310, configured to acquire a voice message input by a user in enterprise wechat, where the voice message is a voice message of a business process in a process system;
an analysis module 320 for analyzing the voice message to determine the user's intention;
the command executor 330 is used for matching a target command from a pre-stored command library according to the intention of the user;
and a flow engine 340, configured to control the flow of the business flow in the flow system according to the target command, where the command in the command library is a command for controlling the flow of the business flow in the flow-class application software.
According to the intelligent process control device provided by the embodiment of the invention, aiming at enterprise WeChat users, the process flow can be driven in a voice mode, and an intelligent work order is realized, so that great convenience is brought to the users, the users do not need to find the entry of the sub-function module step by step in numerous menus and then click to enter the operation, the use threshold of the process system is reduced, the management working pressure of the process system is reduced, and the working efficiency of the users and the use experience of the process system are improved.
It should be noted that a specific implementation manner of the intelligent process control apparatus according to the embodiment of the present invention is similar to a specific implementation manner of the intelligent process control method according to the embodiment of the present invention, and please refer to the description of the method part specifically, and details are not described here specifically in order to reduce redundancy.
Based on the same inventive concept, another embodiment of the present invention provides an electronic device, which specifically includes the following components, with reference to fig. 4: a processor 401, a memory 402, a communication interface 403, and a communication bus 404;
the processor 401, the memory 402 and the communication interface 403 complete mutual communication through the communication bus 404; the communication interface 403 is used for implementing information transmission between the devices;
the processor 401 is configured to call a computer program in the memory 402, and when the processor executes the computer program, the processor implements all the steps of the above-mentioned intelligent process control method, for example, when the processor executes the computer program, the processor implements the following steps: acquiring a voice message input by a user in enterprise WeChat, wherein the voice message is a voice message of a business process in a process system; analyzing the voice message to determine the user's intent; and matching to obtain a target command from a pre-stored command library according to the intention of the user so that the process engine can control the flow of the business process in the process system according to the target command, wherein the command in the command library is a command for controlling the flow of the business process in the process application software.
Based on the same inventive concept, another embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements all the steps of the above-mentioned intelligent process control method, for example, when the processor executes the computer program, implements the following steps: acquiring a voice message input by a user in enterprise WeChat, wherein the voice message is a voice message of a business process in a process system; analyzing the voice message to determine the user's intent; and matching to obtain a target command from a pre-stored command library according to the intention of the user so that the process engine can control the flow of the business process in the process system according to the target command, wherein the command in the command library is a command for controlling the flow of the business process in the process application software.
In addition, the logic instructions in the memory may be implemented in the form of software functional units and may be stored in a computer readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. Based on such understanding, the above technical solutions may be essentially or partially implemented in the form of software products, which may be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and include instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the index monitoring method according to the embodiments or some parts of the embodiments.
In addition, in the present invention, terms such as "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Moreover, in the present invention, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Furthermore, in the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. An intelligent process control method, comprising:
acquiring a voice message input by a user in enterprise WeChat, wherein the voice message is a voice message of a business process in a process system;
analyzing the voice message to determine the user's intent;
and matching to obtain a target command from a pre-stored command library according to the intention of the user so that the process engine can control the flow of the business process in the process system according to the target command, wherein the command in the command library is a command for controlling the flow of the business process in the process application software.
2. The intelligent process control method according to claim 1, wherein the acquiring the voice message input by the user in the enterprise WeChat comprises:
and calling an enterprise WeChat voice message API so as to acquire the voice message input by the user in the enterprise WeChat through the enterprise WeChat voice message API.
3. The intelligent process control method of claim 1, wherein the analyzing the voice message to determine the user's intent comprises:
carrying out voice recognition on the voice message to obtain recognized text information;
and carrying out natural language processing on the text information to obtain the intention of the user.
4. The intelligent process control method according to any one of claims 1 to 3, wherein the target command is a page navigation command, and the process engine controls the flow of the business process in the process system according to the target command, including:
and controlling the process system to open a corresponding page by the process engine according to the page navigation command.
5. The intelligent process control method according to any one of claims 1 to 3, wherein the target command is a search command, and the process engine controls the flow of the business process in the process system according to the target command, including:
and controlling the process system to perform query by the process engine according to the retrieval command, and displaying a corresponding query result in a query interface.
6. The intelligent process control method according to any one of claims 1 to 3, wherein the target command is a voice command, and the process engine controls the flow of the business process in the process system according to the target command, including:
and controlling the process system to process corresponding processing by the process engine according to the voice command.
7. The intelligent process control method according to claim 1, after the process engine controls the flow of the business process in the process system according to the target command, further comprising:
acquiring historical data of the circulation of the business process in the process system,
and taking the historical data as a data sample, and performing machine learning to optimize the commands in the command library.
8. An intelligent process control device, comprising:
the enterprise WeChat access module is used for acquiring a voice message input by a user in enterprise WeChat, wherein the voice message is a voice message of a business process in a process system;
an analysis module for analyzing the voice message to determine the user's intent;
the command executor is used for matching a target command from a pre-stored command library according to the intention of the user;
and the flow engine is used for controlling the flow of the business flow in the flow system according to the target command, wherein the command in the command library is a command for controlling the flow of the business flow in the flow application software.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the intelligent process control method according to any one of claims 1 to 7 when executing the computer program.
10. A non-transitory computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the intelligent process control method according to any one of claims 1 to 7.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113791747A (en) * | 2021-09-14 | 2021-12-14 | 国网电子商务有限公司 | Intelligent printing method, device, server and computer storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108133707A (en) * | 2017-11-30 | 2018-06-08 | 百度在线网络技术（北京）有限公司 | A kind of content share method and system |
| CN108470566A (en) * | 2018-03-08 | 2018-08-31 | 腾讯科技（深圳）有限公司 | A kind of application operating method and device |
| CN110619878A (en) * | 2019-10-17 | 2019-12-27 | 苏州思必驰信息科技有限公司 | Voice interaction method and device for office system |
| US20200082814A1 (en) * | 2018-09-10 | 2020-03-12 | Baidu Online Network Technology (Beijing) Co., Ltd. | Method and apparatus for operating smart terminal |
| CN111050002A (en) * | 2019-12-17 | 2020-04-21 | 北京鸿博信通科技有限公司 | Intelligent telephone exchange and working method and system thereof |
-
2020
- 2020-08-24 CN CN202010859076.5A patent/CN111986676A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108133707A (en) * | 2017-11-30 | 2018-06-08 | 百度在线网络技术（北京）有限公司 | A kind of content share method and system |
| CN108470566A (en) * | 2018-03-08 | 2018-08-31 | 腾讯科技（深圳）有限公司 | A kind of application operating method and device |
| US20200082814A1 (en) * | 2018-09-10 | 2020-03-12 | Baidu Online Network Technology (Beijing) Co., Ltd. | Method and apparatus for operating smart terminal |
| CN110619878A (en) * | 2019-10-17 | 2019-12-27 | 苏州思必驰信息科技有限公司 | Voice interaction method and device for office system |
| CN111050002A (en) * | 2019-12-17 | 2020-04-21 | 北京鸿博信通科技有限公司 | Intelligent telephone exchange and working method and system thereof |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113791747A (en) * | 2021-09-14 | 2021-12-14 | 国网电子商务有限公司 | Intelligent printing method, device, server and computer storage medium |
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