CN114155828A - Electric charge fee-prompting method and system based on intelligent voice - Google Patents
Electric charge fee-prompting method and system based on intelligent voice Download PDFInfo
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Abstract
The invention relates to an electric charge fee-prompting method and system based on intelligent voice, wherein the method comprises the following steps: establishing connection between a server and a user side through WebSocket; establishing a cache unit and a database for storing voice information at a server; acquiring electric charge bill information, and searching whether voice information corresponding to the current electric charge bill information exists in a cache unit, if so, pushing the voice information to a message queue, and if not, searching whether voice information corresponding to the current electric charge bill information exists in a database; if the voice information exists in the database, the voice information is pushed to the message queue, if the voice information does not exist in the database, new voice information is synthesized according to the electric bill information, and the voice information is pushed to the message queue after being stored in the database and the cache unit; monitoring whether the message queue has voice messages, if so, pushing the voice messages to the user side of the corresponding user through WebSocket, and generating a fee prompting record.
Description
Technical Field
The invention relates to an electric charge fee-prompting method and system based on intelligent voice, and belongs to the technical field of intelligent fee prompting.
Background
After the intelligent voice industry in China is subjected to transient structure adjustment, capacity after falling is eliminated, unqualified enterprises are screened out, and with the transformation of the consumption concept of residents and the improvement of consumption requirements, the intelligent voice industry in China still keeps the growth trend, and will develop towards high quality and high quality in the future, and present new trends of variety increase, consumption diversification and the like. Nowadays, digitalization and intellectualization are rapidly popularized, electric power resources are basic resources of daily work and life of people, and the labor-consuming work of electric charges is inevitably developed towards intellectualization. If urge the expense with intelligent pronunciation applied to the charges of electricity, urge the expense intellectuality with electric power, just can promote the real-time of obtaining the information for the user, also can promote and urge the expense efficiency, reduce the cost of manpower and materials.
The patent with the application number of 200910073824.0 discloses an electric power short message voice charging service system, which can provide two communication modes of mobile phone short messages and telephone voice for an electric power supply department, can automatically operate and maintain data, can improve the service quality and the humanized service level of the electric power department, improve the charging efficiency, and is quick and accurate in work requirement; the daily operation of the system by the staff is reduced, and the manual payment urging strength of the toll collector is reduced; the department work notice and the power failure maintenance notice can be issued through a short message function; the electric power short message voice charging service system can supervise the system application condition and the telephone number maintenance condition of each company through the data query statistical function.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides an electric charge fee-prompting method and system based on intelligent voice, wherein a user side is connected with a server side through a WebSocket, so that the user can be automatically reminded to pay the electric charge fee, the problem of untimely fee prompting is solved, the user can know the own electricity utilization condition through a visual voice form, and the user can conveniently pay the electric charge fee; on the other hand can alleviate electric power staff's the work load that the charges of electricity urge to pay and retrieve, realizes the intellectuality of working method, has the advantage of automaticity and high efficiency.
The technical scheme of the invention is as follows:
an electric charge fee-prompting method based on intelligent voice comprises the following steps:
establishing connection between a server and a user side through WebSocket;
establishing a cache unit and a database for storing voice information at a server;
acquiring electric charge bill information, and searching whether voice information corresponding to the current electric charge bill information exists in a cache unit, if so, pushing the voice information to a message queue, and if not, searching whether voice information corresponding to the current electric charge bill information exists in a database;
if the voice information exists in the database, the voice information is pushed to the message queue, if the voice information does not exist in the database, new voice information is synthesized according to the electric bill information, and the voice information is pushed to the message queue after being stored in the database and the cache unit;
monitoring whether the message queue has voice messages, if so, pushing the voice messages to the user side of the corresponding user through WebSocket, and generating a fee prompting record.
As a preferred embodiment, the method for synthesizing new voice information according to the electric bill information specifically includes:
preprocessing, namely generating text data from the electric bill information through a voice synthesis template, and converting the text data into a pinyin representation form;
inputting the preprocessed text data into a pre-trained acoustic feature prediction model, outputting corresponding acoustic features, converting the acoustic features into voice audio through a vocoder, and coding the voice audio to generate the voice information.
As a preferred embodiment, the method further comprises the step of automatically generating the language information at regular time and pushing the charge information at regular time, wherein the step of automatically generating the language information at regular time specifically comprises the following steps:
establishing a timing voice synthesis task, and configuring a time period of the timing voice synthesis task and a corresponding user;
when the time period is reached, starting a timing voice synthesis task;
selecting a voice synthesis template, automatically acquiring the electric bill information generated by the corresponding user in a time period, generating voice information according to the selected voice synthesis template, and storing the voice information into a database and a cache unit;
the timed charge urging task comprises the following steps:
establishing a timing pushing charge-urging task, and configuring a time period of the timing pushing charge-urging task and a corresponding user;
and when the time period is reached, starting a timed pushing charge urging task, inquiring whether voice information of a corresponding user exists in the cache unit and the database, and if so, pushing the voice information to a message queue.
As a preferred embodiment, the database stores at least one speech synthesis template, and the method for establishing the speech synthesis template specifically includes:
inputting newly added template information;
checking whether the newly added template information is legal or not according to a preset rule;
if the information is legal, the information is stored in the database, and if the information is illegal, error information is returned.
As a preferred embodiment, the method further comprises a step for pushing the announcement to all users, which is specifically as follows:
acquiring announcement information;
inquiring whether corresponding notice information exists in the cache unit, if so, pushing the notice information to a message queue, and if not, inquiring whether corresponding notice information exists in a database;
if the database exists, storing the notice information into a cache unit, pushing the notice information to a message queue, and if the database does not exist, returning error information;
monitoring whether the announcement information exists in the message queue or not, and if so, pushing the announcement information to the user sides of all users through WebSocket.
On the other hand, the invention provides an electric charge fee-prompting system based on intelligent voice, which comprises:
the server is provided with a cache unit for storing voice information and a database;
the user side is used for receiving voice information;
the communication module is used for establishing the connection between the server and the user through WebSocket;
the bill management module is used for managing the electric bill information;
the voice synthesis module is used for synthesizing voice information according to the electric bill information;
the fee urging module is used for acquiring the electric bill information and inquiring whether the voice information corresponding to the electric bill information exists in the cache unit and the database; if the voice information exists, outputting the corresponding voice information to a message queue, and if the voice information does not exist, calling a voice synthesis module to synthesize the corresponding voice information and storing the corresponding voice information in a cache unit and a database;
the first monitoring module is used for monitoring whether the voice message exists in the message queue or not, if so, the voice message is pushed to a user side of a corresponding user through the Websocket, and a fee urging record is generated.
As a preferred embodiment, the speech synthesis module comprises:
the preprocessing unit is used for preprocessing, generating text data from the electric bill information through a voice synthesis template, and converting the text data into a pinyin representation form;
the acoustic feature prediction model is used for inputting the preprocessed text data and outputting corresponding acoustic features;
and the synthesis unit is used for converting the acoustic characteristics into voice audio through a vocoder, and carrying out coding processing on the voice audio to generate the voice information.
As a preferred embodiment, the system also comprises a timing automatic generation voice information module and a timing pushing charge prompting information module; wherein the timing automatic generation voice information module is used for:
establishing a timing voice synthesis task, and configuring a time period of the timing voice synthesis task and a corresponding user;
when the time period is reached, starting a timing voice synthesis task;
selecting a voice synthesis template, automatically acquiring the electric bill information generated by the corresponding user in a time period, generating voice information according to the selected voice synthesis template, and storing the voice information into a database and a cache unit;
the timing pushing fee-urging information module is used for:
establishing a timing pushing charge-urging task, and configuring a time period of the timing pushing charge-urging task and a corresponding user;
and when the time period is reached, starting a timed pushing charge urging task, inquiring whether voice information of a corresponding user exists in the cache unit and the database, and if so, pushing the voice information to a message queue.
As a preferred embodiment, the method further comprises a speech synthesis template establishing module, including:
the input unit is used for inputting newly added template information;
the checking unit is used for checking whether the newly added template information is legal or not according to a preset rule; if the information is legal, the information is stored in the database, and if the information is illegal, error information is returned.
As a preferred embodiment, the system further comprises an advertisement pushing module, which includes:
an announcement management unit for managing announcement information;
the pushing unit is used for inquiring whether corresponding notice information exists in the cache unit and the database, if so, pushing the notice information to the message queue, and if not, returning error information;
and the second monitoring module is used for monitoring whether the announcement information exists in the message queue or not, and pushing the announcement information to the user sides of all users through the WebSocket if the announcement information exists in the message queue.
The invention has the following beneficial effects:
1. the intelligent voice-based electric charge reminding method can automatically remind the user to pay the electric charge, solve the problem of untimely reminding, also can enable the user to know the own electricity utilization condition through a visual voice form, and is convenient for the user to pay the electric charge; on the other hand can alleviate electric power staff's the work load that the charges of electricity urge to pay and retrieve, realizes the intellectuality of working method, has the advantage of automaticity and high efficiency.
2. The invention relates to an electric charge fee-urging method based on intelligent voice, which is characterized in that a user side is connected with a server side through WebSocket, when the fee-urging reminding needs to be carried out on a user, the user establishing WebSocket connection with a local machine is inquired from the server side, and a message is sent to the user side; a message queue is introduced. When the system background receives the instant charge request, the request list is sent to the message queue, and the return value can be directly sent to the request without waiting for the completion of message sending, so that the asynchronous effect is realized. After monitoring the message, the monitor of the message queue can send the message to the user establishing WebSocket connection in the local machine, so that the effects of peak clipping, decoupling and asynchronization are realized.
3. The invention relates to an electric charge fee-urging method based on intelligent voice, which subdivides a timing fee-urging task into a timing voice synthesis task and a timing fee-urging pushing task, and accelerates the fee-urging efficiency by synthesizing bill information into voice in the background in advance.
Drawings
FIG. 1 is a flowchart of a method according to a first embodiment of the present invention;
FIG. 2 is a flowchart illustrating the operation of electric charge promotion according to an embodiment of the present invention;
FIG. 3 is a flow diagram of language synthesis in an embodiment of the present invention;
FIG. 4 is a flow chart of time allocation for timing tasks in an embodiment of the present invention;
FIG. 5 is a flow chart of adding a language synthesis template in an embodiment of the present invention;
fig. 6 is a flowchart illustrating advertisement pushing according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be understood that the step numbers used herein are for convenience of description only and are not intended as limitations on the order in which the steps are performed.
It is to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
The terms "comprises" and "comprising" indicate the presence of the described features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
The term "and/or" refers to and includes any and all possible combinations of one or more of the associated listed items.
The first embodiment is as follows:
referring to fig. 1 and 2, an electric charge fee-charging method based on intelligent voice includes the following steps:
establishing connection between a server and a user side through WebSocket; in the traditional electric charge reminding, reminding is carried out by dialing a telephone, and because the service control of dialing the telephone is tighter, the real telephone pushing is difficult to realize. Therefore, in the embodiment, the client webpage is adopted to simulate the user, the WebSocket is connected with the server, when the user needs to be reminded of charging, the server queries the user establishing the WebSocket connection with the local computer, and sends the message to the user side;
a Redis cache unit and a MySQL database for storing voice information are established at a server;
acquiring electric charge bill information, searching whether voice information corresponding to the current electric charge bill information exists in a Redis cache unit, if so, pushing the voice information to a RockettMQ message queue, and if not, searching whether voice information corresponding to the current electric charge bill information exists in a MySQL database;
if the MySQL database exists, the voice information is pushed to a RockettMQ message queue, if the MySQL database does not exist, new voice information is synthesized according to the electric bill information, and the voice information is stored in the MySQL database and a Redis cache unit and then pushed to the RockettMQ message queue;
and monitoring whether the RocktMQ message queue has the voice message, if so, pushing the voice message to a user end of the corresponding user through the WebSocket, and generating a fee urging record.
If the message pushing is performed on the fee urging object according to the WebSocket order, when the requested fee urging quantity is large, a long time is needed to process the service logic, which may cause the problems of request blocking, low program execution efficiency, low system availability, and the like. In order to solve the above problem, a message queue is introduced in the present embodiment. When the system background receives the instant charge request, the request list is sent to the message queue, and the return value can be directly sent to the request without waiting for the completion of message sending, so that the asynchronous effect is realized. After monitoring the message, the monitor of the message queue can send the message to the user establishing WebSocket connection in the local machine, so that the effects of peak clipping, decoupling and asynchronization are realized. In addition, multithreading is realized through Java concurrent programming in the interface of the instant charging promotion, so that a plurality of charging promotion tasks are executed in parallel. And a plurality of message queue listeners can be established by deploying a plurality of application instances, each application instance which receives the message can inquire whether a corresponding user exists in the WebSocket connection in the instance, and if the corresponding user exists, the application instance pushes the message to be charged.
Referring to fig. 3, as a preferred embodiment of this embodiment, the method for synthesizing new voice information according to the electric bill information specifically includes:
firstly, generating text data by using the electric bill information through a voice synthesis template, and then performing text preprocessing on an incoming Chinese text. Preprocessing symbols, and judging whether the incoming text has the components of 'v', 'and' or not. ","? ","! "symbols other than these four punctuation marks, if any, are converted into one of the above-mentioned four basic symbols according to a predefined symbol conversion rule. The symbols are processed, followed by a pre-processing of the digits, which are converted to a chinese literal representation if arabic numerals are present. When the preprocessing of the numbers is finished, text-to-pinyin conversion is carried out. The specific method for converting the text into the pinyin comprises the following steps: according to the existing character pinyin file and word pinyin file, Chinese text data is analyzed and converted into a corresponding pinyin representation form. The character pinyin file stores the mapping relation between all Chinese characters and pinyin, and the word pinyin file stores the mapping relation between most of words and pinyin. The word pinyin file mainly aims to eliminate the interference of polyphones as much as possible and ensure the accuracy of generated voice because the polyphones in Chinese characters are more and the same characters have different pronunciations in different words.
After the preprocessing is finished, the text data in the pinyin form can be loaded into the trained acoustic feature prediction model, the model can predict the text data, and the acoustic features represented by the Mel frequency spectrum are output. And restoring the acoustic characteristics represented by the Mel frequency spectrum into voice audio through a Griffin-lim algorithm, carrying out Base64 coding processing on the voice audio to generate the voice information, and returning the voice information to the requester.
As a preferred embodiment of this embodiment, monthly power charge information is required to be pushed to all users once every month, and the voice synthesis and voice charge pushing task for every month is implemented by adopting a back-end configuration timing task, which includes the steps of automatically generating language information at regular time and pushing charge information at regular time, where the step of automatically generating language information at regular time specifically includes:
establishing a timing voice synthesis task, and configuring a time period of the timing voice synthesis task and a corresponding user;
when the time period is reached, starting a timing voice synthesis task;
selecting a voice synthesis template, automatically acquiring the electric bill information generated by the corresponding user in a time period, generating voice information according to the selected voice synthesis template, and storing the voice information into a database and a cache unit;
the timed charge urging task comprises the following steps:
establishing a timing pushing charge-urging task, and configuring a time period of the timing pushing charge-urging task and a corresponding user;
and when the time period is reached, starting a timed pushing charge urging task, inquiring whether voice information of a corresponding user exists in the cache unit and the database, and if so, pushing the voice information to a message queue.
In this embodiment, the charge urging task is executed periodically every month, the last month bill information is synthesized into voice, and the voice is pushed to the user. Because voice synthesis needs a certain time, if the two steps of voice synthesis and voice pushing are carried out together, the problems that the voice pushing efficiency is low, a user cannot timely receive charge prompting information and the like can be caused. In order to solve the problem, the system subdivides the timing task of charge urging into a timing task of voice synthesis and a timing task of charge urging, and synthesizes bill information into voice in the background in advance to accelerate the efficiency of charge urging
Referring to fig. 4, the time period configuration process of the timed speech synthesis task and the timed charge-promoting push task specifically includes: the cron expression is generated according to the obtained parameters, and then the time and the range of the execution of the timing task can be dynamically changed by modifying the related configuration information of the timing task in the database without restarting the whole task. The specific implementation method comprises the steps of adding a timing task for monitoring data change of the database, polling time configuration of the timing task of the database, modifying starting time of the timing task if the time configuration is detected to be changed, and then starting and executing the timing task at regular time. And finally returning the time configuration of the timing task to the requesting party after the time configuration of the timing task is modified.
In this embodiment, the time period is set to one month, when the time period is reached, a speech synthesis timing task is first started to be executed, the timing task will first query whether a currently selected speech synthesis template exists in the Redis cache unit, if not, the currently selected template will be queried in the MySQL database, if not, it is determined that no currently selected speech synthesis template is selected, and a system default speech synthesis template is selected. If the currently selected voice synthesis module exists in the MySQL database, the voice synthesis template is stored in a Redis cache unit, then after the voice synthesis template is confirmed to be finished, monthly bill information of the corresponding user is obtained, then the corresponding voice information is synthesized for each bill according to the template, the bill information is updated, and finally the synthesized voice information is stored in the MySQL database and the Redis cache unit.
Referring to fig. 5, as a preferred embodiment of this embodiment, this embodiment supports a speech synthesis template of the customized toll information, and the established speech synthesis template is stored in a database, where the method for establishing the speech synthesis template specifically includes:
firstly, inputting newly added template information;
checking the template information placeholder conformity, if the placeholder is used correctly, checking the template information placeholder and the element quantity, and if the placeholder is consistent with the element quantity, storing the template information into a database. And if the placeholder is used incorrectly or the placeholder is inconsistent with the element number, returning a result with a transmission parameter error, and returning the result to the requester after the checking is finished.
The method specifically comprises the following steps: the administrator uses the "$" as a placeholder and passes the elements represented by each placeholder to the back-end in sequential columns. The administrator selects the template used by the current voice synthesis, and after the selection is successful, the voice synthesis module can synthesize voice information according to the currently set template, so that diversified voice reminding contents are provided.
Referring to fig. 6, as a preferred embodiment, a step for pushing the announcement to all users is further included, which is specifically as follows:
acquiring announcement information;
inquiring whether corresponding announcement information exists in a Redis cache unit, if so, pushing the announcement information to a RockettMQ message queue, and if not, inquiring whether the corresponding announcement information exists in a MySQL database;
if the MySQL database exists, storing the notice information into a Redis cache unit, pushing the notice information to a RockketMQ message queue, and if the MySQL database does not exist, returning error information;
monitoring whether the notice information exists in the RocktMQ message queue or not, and if yes, pushing the notice information to the user sides of all users through WebSocket.
Example two:
this embodiment provides a charge system is urged to charges of electricity based on intelligence pronunciation, includes:
the server side is established with a Redis cache unit for storing voice information and a MySQL database; the system is also used for managing related user information, including adding user information, deleting user information, modifying user information and inquiring user information;
the user side is used for receiving voice information;
the communication module is used for establishing the connection between the server and the user through WebSocket;
the bill management module is used for managing the electric bill information, and comprises the steps of adding, deleting, modifying and inquiring the electric bill information;
the voice synthesis module is used for synthesizing voice information according to the electric bill information;
the fee urging module is used for acquiring the electric bill information and inquiring whether the voice information corresponding to the electric bill information exists in the cache unit and the database; if the corresponding voice information exists in the message queue, outputting the corresponding voice information to the RockettMQ message queue, and if the corresponding voice information does not exist in the message queue, calling a voice synthesis module to synthesize the corresponding voice information and storing the corresponding voice information in a Redis cache unit and a MySQL database;
the first monitoring module is used for monitoring whether the RocktMQ message queue has the voice message or not, if so, the voice message is pushed to the user side of the corresponding user through the WebSocket, and a fee urging record is generated.
As a preferred implementation of this embodiment, the speech synthesis module includes:
the preprocessing unit is used for preprocessing, generating text data from the electric bill information through a voice synthesis template, and converting the text data into a pinyin representation form;
the acoustic feature prediction model is used for inputting the preprocessed text data and outputting corresponding acoustic features;
and the synthesis unit is used for converting the acoustic characteristics into voice audio through a vocoder, and carrying out coding processing on the voice audio to generate the voice information.
As a preferred implementation manner of this embodiment, the system further includes a module for automatically generating voice information at regular time and a module for pushing fee-prompting information at regular time; wherein the timing automatic generation voice information module is used for:
establishing a timing voice synthesis task, and configuring a time period of the timing voice synthesis task and a corresponding user;
when the time period is reached, starting a timing voice synthesis task;
selecting a voice synthesis template, automatically acquiring the electric bill information generated by the corresponding user in a time period, generating voice information according to the selected voice synthesis template, and storing the voice information into a database and a cache unit;
the timing pushing fee-urging information module is used for:
establishing a timing pushing charge-urging task, and configuring a time period of the timing pushing charge-urging task and a corresponding user;
and when the time period is reached, starting a timed pushing charge urging task, inquiring whether voice information of a corresponding user exists in the cache unit and the database, and if so, pushing the voice information to a message queue.
As a preferred implementation of this embodiment, the method further includes a speech synthesis template establishing module, including:
the input unit is used for inputting newly added template information;
the checking unit is used for checking whether the newly added template information is legal or not according to a preset rule; if the information is legal, the information is stored in the database, and if the information is illegal, error information is returned.
As a preferred implementation manner of this embodiment, the system further includes an advertisement pushing module, which includes:
the system comprises an announcement management unit, an announcement processing unit and an announcement processing unit, wherein the announcement management unit is used for managing announcement information, and comprises newly added announcement information, deleted announcement information, modified announcement information and inquired announcement information;
the pushing unit is used for inquiring whether corresponding notice information exists in the cache unit and the database, if so, pushing the notice information to the message queue, and if not, returning error information;
and the second monitoring module is used for monitoring whether the announcement information exists in the message queue or not, and pushing the announcement information to the user sides of all users through the WebSocket if the announcement information exists in the message queue.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes performed by the present specification and drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. An electric charge fee-prompting method based on intelligent voice is characterized by comprising the following steps:
establishing connection between a server and a user side through WebSocket;
establishing a cache unit and a database for storing voice information at a server;
acquiring electric charge bill information, and searching whether voice information corresponding to the current electric charge bill information exists in a cache unit, if so, pushing the voice information to a message queue, and if not, searching whether voice information corresponding to the current electric charge bill information exists in a database;
if the voice information exists in the database, the voice information is pushed to the message queue, if the voice information does not exist in the database, new voice information is synthesized according to the electric bill information, and the voice information is pushed to the message queue after being stored in the database and the cache unit;
monitoring whether the message queue has voice messages, if so, pushing the voice messages to the user side of the corresponding user through WebSocket, and generating a fee prompting record.
2. The electric charge fee prompting method based on the intelligent voice as claimed in claim 1, wherein the method for synthesizing the new voice information according to the electric charge bill information specifically comprises the following steps:
preprocessing, namely generating text data from the electric bill information through a voice synthesis template, and converting the text data into a pinyin representation form;
inputting the preprocessed text data into a pre-trained acoustic feature prediction model, outputting corresponding acoustic features, converting the acoustic features into voice audio through a vocoder, and coding the voice audio to generate the voice information.
3. The electric charge fee prompting method based on the intelligent voice as claimed in claim 2, further comprising the steps of automatically generating language information at regular time and pushing fee prompting information at regular time, wherein the step of automatically generating language information at regular time specifically comprises:
establishing a timing voice synthesis task, and configuring a time period of the timing voice synthesis task and a corresponding user;
when the time period is reached, starting a timing voice synthesis task;
selecting a voice synthesis template, automatically acquiring the electric bill information generated by the corresponding user in a time period, generating voice information according to the selected voice synthesis template, and storing the voice information into a database and a cache unit;
the timed charge urging task comprises the following steps:
establishing a timing pushing charge-urging task, and configuring a time period of the timing pushing charge-urging task and a corresponding user;
and when the time period is reached, starting a timed pushing charge urging task, inquiring whether voice information of a corresponding user exists in the cache unit and the database, and if so, pushing the voice information to a message queue.
4. The electric charge fee-charging method based on the intelligent voice as claimed in claim 3, wherein the database stores at least one voice synthesis template, and the method for establishing the voice synthesis template specifically comprises:
inputting newly added template information;
checking whether the newly added template information is legal or not according to a preset rule;
if the information is legal, the information is stored in the database, and if the information is illegal, error information is returned.
5. The electric charge fee-charging method based on the intelligent voice as claimed in claim 1, further comprising a step for pushing the announcement to all users, specifically as follows:
acquiring announcement information;
inquiring whether corresponding notice information exists in the cache unit, if so, pushing the notice information to a message queue, and if not, inquiring whether corresponding notice information exists in a database;
if the database exists, storing the notice information into a cache unit, pushing the notice information to a message queue, and if the database does not exist, returning error information;
monitoring whether the announcement information exists in the message queue or not, and if so, pushing the announcement information to the user sides of all users through WebSocket.
6. The utility model provides a charge system is urged to charges of electricity based on intelligence pronunciation which characterized in that includes:
the server is provided with a cache unit for storing voice information and a database;
the user side is used for receiving voice information;
the communication module is used for establishing the connection between the server and the user through WebSocket;
the bill management module is used for managing the electric bill information;
the voice synthesis module is used for synthesizing voice information according to the electric bill information;
the fee urging module is used for acquiring the electric bill information and inquiring whether the voice information corresponding to the electric bill information exists in the cache unit and the database; if the voice information exists, outputting the corresponding voice information to a message queue, and if the voice information does not exist, calling a voice synthesis module to synthesize the corresponding voice information and storing the corresponding voice information in a cache unit and a database;
the first monitoring module is used for monitoring whether the voice message exists in the message queue or not, if so, the voice message is pushed to a user side of a corresponding user through the Websocket, and a fee urging record is generated.
7. The intelligent voice-based electric charge fee-prompting system according to claim 6, wherein the voice synthesis module comprises:
the preprocessing unit is used for preprocessing, generating text data from the electric bill information through a voice synthesis template, and converting the text data into a pinyin representation form;
the acoustic feature prediction model is used for inputting the preprocessed text data and outputting corresponding acoustic features;
and the synthesis unit is used for converting the acoustic characteristics into voice audio through a vocoder, and carrying out coding processing on the voice audio to generate the voice information.
8. The intelligent voice-based electric charge fee-prompting system according to claim 6, further comprising a timing automatic generation voice information module and a timing pushing fee-prompting information module; wherein the timing automatic generation voice information module is used for:
establishing a timing voice synthesis task, and configuring a time period of the timing voice synthesis task and a corresponding user;
when the time period is reached, starting a timing voice synthesis task;
selecting a voice synthesis template, automatically acquiring the electric bill information generated by the corresponding user in a time period, generating voice information according to the selected voice synthesis template, and storing the voice information into a database and a cache unit;
the timing pushing fee-urging information module is used for:
establishing a timing pushing charge-urging task, and configuring a time period of the timing pushing charge-urging task and a corresponding user;
and when the time period is reached, starting a timed pushing charge urging task, inquiring whether voice information of a corresponding user exists in the cache unit and the database, and if so, pushing the voice information to a message queue.
9. The intelligent voice-based electric charge fee-prompting system according to claim 8, further comprising a voice synthesis template establishing module, comprising:
the input unit is used for inputting newly added template information;
the checking unit is used for checking whether the newly added template information is legal or not according to a preset rule; if the information is legal, the information is stored in the database, and if the information is illegal, error information is returned.
10. The electric charge fee-charging system based on the intelligent voice as claimed in claim 6, further comprising a notice pushing module, comprising:
an announcement management unit for managing announcement information;
the pushing unit is used for inquiring whether corresponding notice information exists in the cache unit and the database, if so, pushing the notice information to the message queue, and if not, returning error information;
and the second monitoring module is used for monitoring whether the announcement information exists in the message queue or not, and pushing the announcement information to the user sides of all users through the WebSocket if the announcement information exists in the message queue.
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