CN114817524A - Method and device, system, medium and electronic device for generating infectious disease epidemiological report - Google Patents

Abstract

The disclosure relates to the technical field of computers, and provides an infectious disease call report generation method and device, an infectious disease call report generation system, a computer-readable storage medium and an electronic device. Wherein, the method comprises the following steps: acquiring text data corresponding to audio data of a called party during call dispatching; extracting information corresponding to preset keywords from the text data according to the preset keywords related to the infectious disease flow regulation report, and generating structured flow regulation information corresponding to the text data according to the information corresponding to the preset keywords; and generating a target infectious disease flow regulation report by adopting an infectious disease flow regulation report template corresponding to the infectious disease flow regulation report according to the structured flow regulation information. According to the scheme, the infectious disease flow regulation report can be automatically generated based on the text data corresponding to the acquired audio data of the infectious disease flow regulation report, and the generation efficiency of the infectious disease flow regulation report and the efficiency of flow regulation of infectious diseases are improved.

Description

Method and device, system, medium and electronic device for generating infectious disease epidemiological report

technical field

The present disclosure relates to the field of computer technologies, and in particular, to a method for generating an epidemiological report of an infectious disease, a system for generating an epidemiological report of an infectious disease, an apparatus for generating an epidemiological report of an infectious disease, a computer-readable storage medium, and an electronic device.

Background technique

Infectious disease epidemiological investigation report is the abbreviation of infectious disease epidemiological investigation report. When an infectious disease occurs, conduct a telephone survey on the person diagnosed with the infectious disease or the close contact person who has been in contact with the confirmed person, and record their basic information, family situation, work situation, close contact situation, and activity trajectory in the recent period of time. Therefore, based on this information, the spread of infectious diseases can be analyzed to assist relevant personnel to take effective control measures in a timely manner according to the spread.

In the related art, the infectious disease epidemiological report is written by the relevant staff. Specifically, when the relevant staff conducts an epidemiological investigation, they manually record key information while having a dialogue with the subject to be transferred. After the dialogue is over, the recorded key information is sorted and written into an epidemiological report.

However, this method of manually writing an infectious disease epidemiological report is inefficient, and it is not conducive for relevant personnel to take corresponding control measures in a timely manner according to the infectious disease epidemiological situation.

It should be noted that the information disclosed in the above Background section is only for enhancement of understanding of the background of the present disclosure, and therefore may contain information that does not form the prior art that is already known to a person of ordinary skill in the art.

SUMMARY OF THE INVENTION

The purpose of the present disclosure is to provide a method and device for generating an infectious disease epidemic report, a system for generating an infectious disease epidemic report, a computer-readable storage medium and an electronic device, so as to improve the infectious disease epidemic report in the related art at least to a certain extent. Generate inefficiencies.

Other features and advantages of the present disclosure will become apparent from the following detailed description, or be learned in part by practice of the present disclosure.

According to a first aspect of the present disclosure, there is provided a method for generating an epidemiological report of an infectious disease, including: acquiring text data corresponding to audio data of an object under investigation during an epidemiological call; Setting keywords, extracting information corresponding to the preset keywords from the text data, to generate structured flow tone information corresponding to the text data based on the information corresponding to the preset keywords; according to the structure The epidemiological information is converted into the epidemiological report of the target infectious disease by using the infectious disease epidemiology report template corresponding to the epidemiological report of the infectious disease.

In an exemplary embodiment of the present disclosure, based on the foregoing solution, the stream-tuned object performs a stream-tuned call based on a software phone; the acquiring text data corresponding to the audio data of the stream-tuned object during the stream-tuned call, Including: obtaining the audio data sent by the front-end webpage corresponding to the software phone, or obtaining the audio data sent by the call center background corresponding to the software phone; performing text conversion on the audio data to obtain the audio data The text data corresponding to the data.

In an exemplary embodiment of the present disclosure, based on the foregoing solution, when the acquired audio data is sent by a front-end web page corresponding to the software phone, the front-end web page collects the stream-tuned data in the following manner The audio data of the object during the streaming call: the front-end webpage saves the connection instance of the network connection object when establishing the network connection object of web instant messaging; In the connection instance of the object, the first media stream corresponding to the media stream object of the local end and the second media stream corresponding to the media stream object of the remote end are obtained, and the remote end is used to indicate the calling terminal where the stream-tuned object is located; The first media stream and the second media stream are used to generate a target media stream; and the target media stream is recorded to acquire the audio data in a preset audio format.

In an exemplary embodiment of the present disclosure, based on the foregoing solution, when the acquired audio data is sent by the call center background corresponding to the software phone, the call center background collects the received audio data in the following manner The audio data of the stream-tuned object during the stream-tuned call: obtain the first audio data stream sent by the front-end web page corresponding to the software phone; obtain the second audio data stream sent by the telephone operator network connected to the background of the call center, The second audio data stream includes the audio data stream of the terminal where the stream-tuned object is located; the first audio data stream and the second audio data stream are combined to generate a target audio data stream; The data stream is recorded to acquire the audio data in the preset audio format.

In an exemplary embodiment of the present disclosure, based on the foregoing solution, the stream-tuned object performs a stream-tuned call based on a software phone; the acquiring text data corresponding to the audio data of the stream-tuned object during the stream-tuned call, The method includes: acquiring text data corresponding to the audio data of the stream-tuned object sent by the call center background corresponding to the software phone during the stream-tuned call.

In an exemplary embodiment of the present disclosure, based on the aforementioned solution, the information corresponding to the preset keyword is extracted from the text data according to the preset keyword related to the infectious disease flow report, To generate the structured flow tone information corresponding to the text data, comprising: extracting information corresponding to the preset keywords in the text data based on a regularized expression and/or a named entity recognition method; The preset keyword is a keyword, the information corresponding to the preset keyword is a value corresponding to the keyword, and the structured flow tone information corresponding to the text data is generated.

In an exemplary embodiment of the present disclosure, based on the foregoing solution, according to the structured epidemiological information, based on the infectious disease epidemiology report template corresponding to the infectious disease epidemiology report, the target infectious disease epidemiology report is generated The report includes: matching the keywords in the structured flow survey information with each item name in the infectious disease flow survey report template; for the successfully matched keywords and project names, matching the keywords corresponding to the keywords The value is determined as the item information corresponding to the item indicated by the item name, so as to generate the epidemiological report of the target infectious disease.

According to a second aspect of the present disclosure, there is provided a system for generating an epidemiological report of an infectious disease, including: a software phone for conducting a streaming call with a subject to be streamed, and collecting audio from the subject during the streamed call data; a text conversion subsystem, for converting the audio data into corresponding text data; a report generation subsystem, for receiving the text data sent by the text conversion subsystem, and reporting according to the flow of infectious diseases Relevant preset keywords, extract information corresponding to the preset keywords in the text data, so as to generate structured flow tone information corresponding to the text data based on the information corresponding to the preset keywords, according to For the structured epidemiological information, an epidemiological report template corresponding to the infectious disease epidemiology report is used to generate a target infectious disease epidemiology report.

In an exemplary embodiment of the present disclosure, based on the foregoing solution, the software phone includes a front-end web page and a call center background; the collecting audio data of the stream-tuned object during a stream-tuned call includes: using the front-end web page The audio data of the streamed object during the streamed call is collected, or the audio data of the streamed object during the streamed call is collected through the call center background.

According to a third aspect of the present disclosure, an apparatus for generating an epidemiological report of an infectious disease is provided, comprising: a call text data acquisition module, configured to acquire text data corresponding to the audio data of the subject to be streamed during the streamed call; structure The flow pattern information generation module is configured to extract information corresponding to the preset keywords from the text data according to the preset keywords related to the epidemic situation report of infectious diseases, so as to use the preset keywords based on the preset keywords. The corresponding information generates the structured epidemiological information corresponding to the text data; the target infectious disease epidemiology report generation module is configured to use the infectious disease epidemiology report corresponding to the infectious disease epidemiology report according to the structured epidemiological information. Epidemic report template to generate epidemiological reports of target infectious diseases.

According to a fourth aspect of the present disclosure, there is provided a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, implements the infectious disease flow regulation described in the first aspect of the above embodiments Report generation method.

According to a fifth aspect of the embodiments of the present disclosure, there is provided an electronic device, comprising: a processor; and a storage device for storing one or more programs, when the one or more programs are stored by the one or more programs When executed by each processor, the one or more processors are made to implement the method for generating an infectious disease epidemiology report as described in the first aspect of the above embodiment.

It can be known from the above technical solutions that the method for generating an epidemiological report of an infectious disease, a system for generating an epidemiological report of an infectious disease, an apparatus for generating an epidemiological report of an infectious disease in the exemplary embodiments of the present disclosure, and a method for realizing the generating method for an epidemiological report of an infectious disease. The computer-readable storage medium and electronic device have at least the following advantages and positive effects:

In the technical solutions provided by some embodiments of the present disclosure, the text data corresponding to the audio data of the stream-tuned object during the stream-tune call can be obtained; The information corresponding to the preset keywords is extracted from the text data to generate structured flow regulation information corresponding to the text data; and then according to the structured flow regulation information, based on the infectious disease flow regulation report corresponding The infectious disease epidemiological report template of , generates a target infectious disease epidemiological report. Compared with the related art, the present disclosure is based on the acquired text data corresponding to the audio data during the streaming call, by performing structured processing on the text data, and then structuring the structured streaming information and contagion information obtained after the structured processing. Combined with the report templates of epidemic epidemiology, the epidemic epidemiology report can be automatically generated based on the epidemiological call, without manual sorting or recording, thereby improving the generation efficiency of the epidemiological report and further assisting the relevant personnel to improve the efficiency of epidemic epidemiology reports based on the infection control. Efficiency of epidemiological reports in analyzing the spread of infectious diseases.

It is to be understood in the present disclosure that the foregoing general description and the following detailed description are exemplary and explanatory only and are not limiting of the present disclosure.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description serve to explain the principles of the disclosure. Obviously, the drawings in the following description are only some embodiments of the present disclosure, and for those of ordinary skill in the art, other drawings can also be obtained from these drawings without creative effort.

1 shows a schematic flowchart of a method for generating an epidemiological report of an infectious disease in an exemplary embodiment of the present disclosure;

2 shows a schematic flowchart of a method for collecting audio data during a streaming call from a front-end web page in an exemplary embodiment of the present disclosure;

3 shows a schematic flowchart of a method for collecting audio data during a streaming call from a call center background in an exemplary embodiment of the present disclosure;

4 shows a schematic flowchart of a method for generating structured flow regulation information in an exemplary embodiment of the present disclosure;

5 shows a schematic structural diagram of an infectious disease epidemiology report generation system in an exemplary embodiment of the present disclosure;

6 shows a schematic structural diagram of an apparatus for generating an epidemiological report of an infectious disease in an exemplary embodiment of the present disclosure;

FIG. 7 shows a schematic structural diagram of a computer storage medium in an exemplary embodiment of the present disclosure;

FIG. 8 shows a schematic structural diagram of an electronic device in an exemplary embodiment of the present disclosure.

Detailed ways

Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments, however, can be embodied in various forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of the embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced without one or more of the specific details, or other methods, components, devices, steps, etc. may be employed. In other instances, well-known solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.

The terms "a", "an", "the" and "said" are used in this specification to indicate the presence of one or more elements/components/etc; the terms "include" and "have" are used to indicate open-ended Inclusive means and means that additional elements/components/etc may be present in addition to the listed elements/components/etc; the terms "first" and "second" etc. are used only as labels, not for The number of its objects is limited.

Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repeated descriptions will be omitted. Some of the block diagrams shown in the figures are functional entities that do not necessarily necessarily correspond to physically or logically separate entities.

Infectious disease epidemiological investigation report is the abbreviation of infectious disease epidemiological investigation report. When an infectious disease occurs, conduct a telephone survey on the person diagnosed with the infectious disease or the close contact person who has been in contact with the confirmed person, and record their basic information, family situation, work situation, close contact situation, and activity trajectory in the recent period of time. Therefore, based on this information, the spread of infectious diseases can be analyzed to assist relevant personnel to take effective control measures in a timely manner according to the spread.

In the related art, the infectious disease epidemiological report is written by the relevant staff. Specifically, when the relevant staff conducts an epidemiological investigation, they manually record key information while having a dialogue with the subject to be transferred. After the dialogue is over, the recorded key information is sorted and written into an epidemiological report.

However, this method of manually writing an infectious disease epidemiological report is inefficient, and it is not conducive for relevant personnel to take corresponding control measures in a timely manner according to the infectious disease epidemiological situation.

In the embodiments of the present disclosure, a method for generating an epidemiological report of an infectious disease is provided, at least to a certain extent, to improve the defects existing in the related art.

FIG. 1 shows a schematic flowchart of a method for generating an epidemiological report of an infectious disease in an exemplary embodiment of the present disclosure. Referring to FIG. 1 , the method includes:

Step S110, acquiring the text data corresponding to the audio data of the stream-tuned object during the stream-tuned call;

Step S120, according to the preset keywords related to the infectious disease flow report, extract the information corresponding to the preset keywords from the text data, so as to generate the text based on the information corresponding to the preset keywords The structured flow adjustment information corresponding to the data;

Step S130 , generating a target infectious disease epidemiology report according to the structured epidemiological information and using an infectious disease epidemiology report template corresponding to the infectious disease epidemiology report.

In the technical solution provided by the embodiment shown in FIG. 1, the text data corresponding to the audio data of the flow-tuned object during the flow-tuned call can be obtained; then, according to the preset keywords related to the infectious disease flow-track report, in The information corresponding to the preset keywords is extracted from the text data to generate structured flow regulation information corresponding to the text data; and then according to the structured flow regulation information, based on the infectious disease flow regulation report corresponding The infectious disease epidemiological report template of , generates a target infectious disease epidemiological report. Compared with the related art, the present disclosure is based on the acquired text data corresponding to the audio data during the streaming call, by performing structured processing on the text data, and then structuring the structured streaming information and contagion information obtained after the structured processing. Combined with the report templates of epidemic epidemiology, the epidemic epidemiology report can be automatically generated based on the epidemiological call, without manual sorting or recording, thereby improving the generation efficiency of the epidemiological report and further assisting the relevant personnel to improve the efficiency of epidemic epidemiology reports based on the infection control. Efficiency of epidemiological reports in analyzing the spread of infectious diseases.

The specific implementation of each step in the embodiment shown in FIG. 1 is described in detail below:

In step S110, the text data corresponding to the audio data of the stream-tuned object during the stream-tuned call is acquired.

In an optional implementation manner, the streamed object conducts a streamed call based on a software phone. Softphone, also known as softphone, is a communication terminal device and a virtual phone. As long as it is in the same network, it can make calls without restrictions. It can support computer-to-computer, computer-to-phone, and phone-to-phone. computer and other communication methods. Softphone is also called IP (Internet Protocol, Internet Protocol) phone, which transmits voice through Internet Protocol.

For example, the flow dispatcher can dial the phone number of the object to be dispatched through the software phone embedded in the front-end web page, and can send a call instruction to the call center background corresponding to the software phone after the call is made. Good link, and wait for the phone operator to connect the phone number included in the call instruction, that is, the call center background can call the transferred object through the phone operator. After the transferee answers the call, the voice communication link between the transferee and the transferee is established. In this way, based on the background of the call center, the voice call link and the data call link of the front-end web page can be connected, so that normal calls can be made between the flow dispatcher and the flow dispatched object.

In an optional embodiment, the subject to be transferred may include a person diagnosed with an infectious disease, and may also include a close contact person who has been in direct or indirect contact with the person diagnosed with an infectious disease. Among them, the close contact person who has indirect contact with the confirmed person of the infectious disease can be understood as, if A is the confirmed person of the infectious disease, B has contact with A, and although C and A have not been in contact with B, then B is contact with B. Persons who have been in direct contact with persons diagnosed with infectious diseases, C is persons who have indirect contact with persons diagnosed with infectious diseases.

Wherein, the indirect contact personnel may include indirect contact personnel at multiple levels. Among them, the level can be understood as, for example, the above-mentioned C is the first-level indirect contact person, and the person who has direct contact with the first-level indirect contact person is the second-level indirect contact person, that is, the person who has direct contact with C is the first-level indirect contact person. The second-level indirect contact person, the person who has direct contact with the second-level indirect contact person is the third-level indirect contact person, and so on. The number of multiple levels can be customized according to requirements. For example, the indirect contact personnel can include three levels, namely, the first level, the second level, the third level indirect contact personnel, etc. This exemplary embodiment There is no special restriction on this.

In an optional implementation manner, the specific implementation of step S110 may be: acquiring the audio data sent by the front-end web page corresponding to the software phone; performing text conversion on the audio data to obtain the audio data corresponding text data.

In other words, based on the front-end web page corresponding to the software phone, the audio data of the stream-tuned object during the stream-tune call can be collected in real time from the front-end web page, and then the front-end web page will send the audio data to the stream-tune background in real time. The streaming background can perform text conversion on the received audio data based on the text conversion subsystem to obtain text data corresponding to the audio data. For example, the text conversion subsystem can perform text conversion on the received audio data based on speech recognition technology or audio recognition technology. Text conversion. In this way, the streaming background can obtain the text data corresponding to the audio data of the streaming object during the streaming call, and continue to perform the subsequent steps S120 and S130 to automatically generate an infectious disease streaming report.

Exemplarily, FIG. 2 shows a schematic flowchart of a method for collecting audio data during a streaming call from a front-end web page in an exemplary embodiment of the present disclosure. Referring to FIG. 2, the method may include steps S210 to S240. in:

In step S210, the front-end webpage saves the connection instance of the network connection object when establishing the network connection object of the webpage instant messaging.

Among them, Web Real-Time Communication, or WebRTC (Web Real-Time Communication), is an API (Application Programming Interface, application programming interface) that supports a web browser to conduct real-time voice dialogue or video dialogue.

For example, for a softphone whose backend of the call center is implemented through WebRTC, the connection instance of the network connection object can be saved when a WebRTC network connection object is established on the front-end webpage. Among them, the network connection object can be RTCPeerConnection, and WebRTC uses RTCPeerConnection to transmit stream data between browsers.

In an exemplary implementation, the front-end web page may store the connection instance of the local network connection object and the connection instance of the remote network connection object. The local end can be understood as the originating end of the software phone, and the remote end can be understood as the terminal that answers the software phone. Taking the above-mentioned flow adjustment staff calling the flow adjustment object to make a flow adjustment call as an example, the local end can be understood as the terminal where the flow adjustment staff is located, and the remote end can be understood as the terminal where the flow adjustment object is located.

Next, in step S220, when the initialization of the streaming call is completed, the first media stream corresponding to the media stream object at the local end and the first media stream corresponding to the media stream object at the remote end are obtained from the connection instance of the network connection object. Two media streams.

In an exemplary implementation, taking the above-mentioned scenario where the dispatch staff makes a call to the dispatched phone through a software phone to conduct infectious disease dispatch as an example, the remote end is used to indicate where the dispatched object is located. call terminal.

For example, when the initialization of the voice call of the streaming call is completed, the front-end web page can find the active media stream (MediaStream) object from the saved connection instance of the network connection object. It can obtain the first media stream corresponding to the media stream object of the local end from the saved connection instance of the network connection object of the local end, that is, the media stream of the local microphone, and can obtain the remote end from the saved connection instance of the network connection object of the remote end. The second media stream corresponding to the media stream object of the end, that is, the remote media stream.

After the first media stream and the second media stream are acquired, in step S230, the first media stream and the second media stream are combined to generate a target media stream.

For example, the Web Audio API (Web Audio Application Programming Interface, web audio application programming interface) provided by the front-end web page can be used to control the media stream of the local microphone (ie, the first media stream) and the remote media stream (ie, the second media stream). ) for stream merging. Specifically, the ChannelMergerNode class provided by the Web Audio API can be used to merge the first media stream and the second media stream.

Next, in step S240, the target media stream is recorded to acquire the audio data in a preset audio format.

In an exemplary implementation, the target media stream may be recorded according to a preset sampling rate, number of channels and sampling bits, and a preset audio format to obtain audio data.

For example, the preset sampling rate can be 16000, the number of channels can be 1, the sampling bit can be 16 bits, and the recording format can use PCM (Pulse Code Modulation, audio coding format, also called pulse code modulation) format. Among them, the PCM format can convert analog signals such as sound into a symbolized pulse train, and then record and store it. Among them, selecting 1 for the number of channels can avoid the interference of other redundant channels on subsequent text conversion, and improve the accuracy of subsequent text conversion. Of course, you can also set recording parameters according to your own needs, which is not specifically limited in this exemplary embodiment.

Exemplarily, the MediaRecorder class can be used to record the target media stream. Mobile phones generally have microphones and cameras, and the Android system can use these hardware to record audio and video. The Android system provides a MediaRecorder class that supports recording audio and video.

Since the target media stream is recorded, and the target media stream itself includes the media stream of the local end and the media stream of the remote end, the audio data obtained by the recording also includes the bidirectional audio data of the local end and the remote end.

For example, when collecting voice data during streaming calls from the front-end web page, for a call center background implemented based on WebRTC, the RTCPeerConnection connection instance can be saved when the WebRTC network connection object is established, and when the voice call is initialized After completion, find the active media stream (MediaStream) object from RTCPeerConnection, use the Web Audio API provided by the browser to merge the media stream of the local microphone and the remote media stream, and set the sampling rate of the merged media stream. It is 16000 hertz (HZ), the number of channels is set to 1, the sampling bit depth is set to 16bit (bit), the MediaRecorder class is used to record the merged media stream, and the recording format uses PCM format. The data stream obtained from the recording contains local and remote bidirectional audio data, and the format supports text conversion, that is, voice recognition.

In another optional implementation manner, the specific implementation manner of step S110 may be: acquiring the audio data sent by the call center background corresponding to the software phone; performing text conversion on the audio data to obtain the audio data Text data corresponding to audio data.

In other words, based on the call center background corresponding to the software phone, the call center background collects the audio data of the streaming object during the streaming call in real time, and the call center background sends the audio data to the streaming background in real time. The streaming background can perform text conversion on the received audio data based on the text conversion subsystem to obtain text data corresponding to the audio data. Similarly, the text conversion subsystem can perform text conversion on the received audio data according to the speech recognition technology or the audio recognition technology. In this way, the streaming background can obtain the text data corresponding to the audio data of the streaming object during the streaming call.

Exemplarily, FIG. 3 shows a schematic flowchart of a method for collecting audio data during a streaming call from a call center background in an exemplary embodiment of the present disclosure. Referring to FIG. 3 , the method may include steps S310 to S340. in:

In step S310, the first audio data stream sent by the front-end web page corresponding to the software phone is acquired.

Exemplarily, when making a streaming call based on a software phone, the front-end web page needs to send the audio data stream of the local end to the call center background, so as to send the audio data stream of the local end to the telephone operator network through the call center background, and then the operator The network then sends the audio data stream from the local end to the remote end.

Based on this, the first audio data stream sent by the front-end webpage to the background of the call center, that is, the local audio data stream, can be directly obtained in the call center background.

Next, in step S320, the second audio data stream sent by the telephone operator network connected to the background of the call center is acquired.

Wherein, the second audio data stream includes the audio data stream of the terminal where the stream-tuned object is located.

Exemplarily, when a streaming call is performed based on a software phone, the terminal where the object to be streamed can send the audio data stream during the call to the telephone operator network, so as to transmit the audio data of the terminal where the object to be streamed is located through the telephone operator network. The data stream is sent to the call center background corresponding to the software phone, and the call center background sends the audio data stream of the terminal where the stream-tuned object is located to the front-end web page.

Based on this, the second audio data stream sent by the telephone operator network to the call center background, that is, the remote audio data stream, that is, the audio data stream of the terminal where the stream-tuned object is located, can be directly obtained in the call center background.

Next, in step S330, the first audio data stream and the second audio data stream are combined to generate a target audio data stream.

It can be programmed in the background of the call center, and the pydub library can be used according to the back-end programming language, such as the Python language, to realize the combination of the first audio data stream and the second audio data stream.

Combining the first audio data stream and the second audio data stream can be understood as splicing the first audio data stream and the second audio data stream into one audio data stream to obtain the target audio data stream.

In step S340, the target audio data stream is recorded to acquire the audio data in a preset audio format.

Similarly, the back-end programming language can be used to record the target audio data stream according to the preset sampling rate, the number of channels and sampling bits, and the preset audio format, so as to obtain audio data in the preset audio format. The sampling rate can also be set to 16000 Hz, the number of channels can also be set to 1, the sampling bit can also be set to 16bit, and the preset audio format can also be the above-mentioned PCM format.

For example, voice data collection during streaming calls can be performed directly from the call center background, that is, the first audio data stream delivered by the front-end web page and the second audio data stream delivered by the telephone operator network can be collected directly from the call center background. The two audio data streams correspond to the two directions of the call, respectively. Then, the first audio data stream and the second audio data stream are combined, and then the audio data stream obtained after the combination is recorded to save it in a preset audio format, such as the above-mentioned PCM format.

Compared with the method of collecting voice data from the front-end web page, collecting voice data directly from the background of the call center is simpler and more direct, and has better stability. Therefore, if the call center background supports real-time collection of voice data during a call, the voice data can be collected from the call center background first. If the call center background does not support it, you can choose to collect voice data from the front-end web page.

In yet another optional implementation manner, the specific implementation of step S110 may also be: acquiring the text corresponding to the audio data of the stream-tuned object when the stream-tuned call is sent by the call center background corresponding to the software phone data.

For example, if the text conversion function has been integrated in the background of the call center, the text converted from the collected audio data segment can be directly obtained from the background of the call center. For example, the interface specified in the background of the call center can be directly connected, namely The text data corresponding to the audio data of the stream-tuned object during the stream-tuned call can be acquired in real time. In other words, audio data collection can still be performed in the call center background through the above-mentioned steps S310 to S340, but since the call center background already has a text conversion function, it can be directly based on the text conversion function of the call center background. The audio data in the preset audio format obtained by collecting and processing is converted into text, so as to directly obtain the text data corresponding to the audio data through the background of the call center.

In practice, any of the above methods can be selected according to different functions supported by the call center background or according to your own needs, so as to obtain the text data corresponding to the audio data of the streamed object during the streaming call. This exemplary embodiment does not specifically limit this.

Next, in step S120, according to the preset keywords related to the epidemiological report of the infectious disease, the information corresponding to the preset keywords is extracted from the text data, so that based on the preset keywords corresponding to the preset keywords, the information corresponding to the preset keywords is extracted from the text data. The information generates structured flow tone information corresponding to the text data.

In an exemplary embodiment, one or more preset keywords related to infectious disease epidemiology reports may be preconfigured. The preset keywords may include name, gender, home address, work unit, activity track, travel date, travel time, travel location, close contact person, travel mode, protection status and other information category names used to characterize different flow-adjustment information. Among them, the protection status can be understood as whether to take measures to protect against infectious diseases, such as whether to wear masks, whether to vaccinate, etc.

Correspondingly, the information corresponding to the preset keywords can be understood as the name, gender, home address, work unit, activity track, travel date, travel time, travel location, close contact person name, travel mode, protection status, etc. The specific information corresponding to the information category. For example, if the preset keywords include date and location, the date information and location information involved in the text data can be extracted according to the extraction rules for date information and location information. For another example, if the preset keywords include activity track information, the specific information corresponding to travel date, travel time, travel location, close contact person, travel mode, protection status, etc. can be extracted, and then correlated to generate the activity track. information. Further, structured flow tone information is generated according to the extracted specific information corresponding to each preset keyword.

The specific implementation of step S120 will be further described below with reference to FIG. 4 . Exemplarily, FIG. 4 shows a schematic flowchart of a method for generating structured flow modulation information in an exemplary embodiment of the present disclosure. Referring to FIG. 4 , the method may include steps S410 to S420. in:

In step S410, information corresponding to the preset keyword is extracted from the text data based on a regularized expression and/or a named entity recognition method.

Exemplarily, for some highly specific information, such as gender, travel date, travel time, protection status, travel mode, etc., the corresponding preset regular expressions can be pre-generated by enumeration, and then according to the pre-defined regularization expressions. A regularized expression is set to extract the specific information corresponding to these preset keywords. For some information with low specificity, such as travel location, name of close contact person, etc., specific information corresponding to these preset keywords can be extracted by means of named entity recognition.

Next, in step S420, using the preset keyword as a keyword, and the information corresponding to the preset keyword as a value corresponding to the keyword, generate structured flow tone information corresponding to the text data.

Exemplarily, after the information corresponding to the preset keyword is extracted, the preset keyword may be used as a key in the key-value pair, that is, a keyword (key), and the information corresponding to the preset keyword is the value in the key-value pair. (value), structured storage of preset keywords and their corresponding information to generate structured flow tone information corresponding to text data.

For example, if the information corresponding to the extracted travel date is January 15, 2022, it can be stored in the form of a key-value pair such as "travel date: January 15, 2022".

Through the above steps S410 and S420, the structured processing of the text data corresponding to the audio data of the stream-tuned object during the stream-tuned call can be realized. Furthermore, in the subsequent steps, infectious disease epidemiology is automatically generated according to the structured information.

Next, with continued reference to FIG. 1 , in step S130 , a target infectious disease epidemiology report is generated according to the structured epidemiological information and using an infectious disease epidemiology report template corresponding to the infectious disease epidemiology report.

Exemplarily, the specific implementation of step S130 may include: matching the keywords in the structured epidemiological information with each item name in the infectious disease epidemiology report template; name, and the value corresponding to the keyword is determined as the item information corresponding to the item indicated by the item name, so as to generate the target infectious disease epidemiology report.

For example, based on the matching of each item name in the infectious disease epidemiology report template and the keywords in the structured epidemic information, and based on the template technology, the value corresponding to the successfully matched keyword can be filled into the infectious disease epidemiology report. The information corresponding to the corresponding project name in the report template is filled in the area, so as to automatically generate the epidemiological report of the target infectious disease corresponding to the subject of epidemiological investigation.

When the target infectious disease epidemiology report is automatically generated based on the template technology, corresponding styles can also be added to each item in the infectious disease epidemiology report template, such as font size, font type, font color, etc., as required. This exemplary implementation There is no special restriction on the method.

In the present disclosure, by acquiring the audio data of the streaming call in real time, and based on the real-time text conversion of the acquired audio data, the text data corresponding to the audio data can be automatically obtained, and then the text data can be structured. The infectious disease epidemiology report is automatically generated based on structured information and infectious disease epidemiological report template, which greatly improves the generation efficiency of the infectious disease epidemiology report, and also assists in improving the follow-up infectious disease epidemiological report. The efficiency of analyzing the spread of infectious diseases, and the efficiency of effective prevention and control of infectious diseases based on the epidemiological situation of infectious diseases.

Those skilled in the art can understand that all or part of the steps for implementing the above-described embodiments are implemented as computer programs executed by the CPU. When the computer program is executed by the CPU, the above-mentioned functions defined by the above-mentioned methods provided by the present invention are executed. The program can be stored in a computer-readable storage medium, which can be a read-only memory, a magnetic disk, an optical disk, or the like.

In addition, it should be noted that the above-mentioned drawings are only schematic illustrations of the processes included in the method according to the exemplary embodiment of the present invention, and are not intended to be limiting. It is easy to understand that the processes shown in the above figures do not indicate or limit the chronological order of these processes. In addition, it is also readily understood that these processes may be performed, for example, synchronously or asynchronously in multiple modules.

An exemplary embodiment of the present disclosure also provides an infectious disease epidemic report generation system. The system may include a softphone, a text conversion subsystem, and a report generation subsystem. Wherein: the software phone is used to conduct a stream call with the stream-tuned object, and collect the audio data of the stream-tuned object during the stream-tune call; the text conversion subsystem is used to convert the audio data and convert the audio data is the corresponding text data; the report generation subsystem is used to receive the text data sent by the text conversion subsystem, and extract the text data from the text data according to the preset keywords related to the report on the flow of infectious diseases. The information corresponding to the preset keywords is used to generate structured flow pattern information corresponding to the text data based on the information corresponding to the preset keywords, and according to the structured flow pattern information, the infectious disease flow pattern is used. Report the corresponding infectious disease epidemiological report template, and generate the target infectious disease epidemiological report.

In an exemplary implementation, the software phone includes a front-end web page and a call center background; the collecting audio data of the stream-tuned object during a stream-tuned call includes: collecting the stream-tuned object through the front-end web page The audio data of the streamed object during the streaming call or the audio data of the streamed object during the streaming call is collected through the call center background.

Among them, the specific implementation details of collecting the audio data of the flow-adjusted object during the flow-adjustment call through the front-end web page and through the call center background have been described in detail in the above-mentioned method for generating the infectious disease flow-adjustment report, and will not be repeated here. Repeat.

Similarly, according to the preset keywords related to the infectious disease flow report, the information corresponding to the preset keywords is extracted from the text data, so as to generate the text based on the information corresponding to the preset keywords The structured epidemiological information corresponding to the data; and according to the structured epidemiological information, using the infectious disease epidemiology report template corresponding to the infectious disease epidemiological report, the specific implementation of generating the target infectious disease epidemiological report has also been described in The corresponding part in the above-mentioned method for generating an epidemiological report of an infectious disease has been described in detail, and will not be repeated here.

In an exemplary embodiment, the text conversion subsystem may be deployed in the background of the call center. In this way, after the call center background collects the audio data, it can directly send the collected audio data to the text conversion subsystem integrated in the call center, so as to obtain text data corresponding to the audio data based on the text conversion subsystem. Then, the call center background can directly send the obtained text data to the report generation subsystem.

In another exemplary implementation, the text conversion subsystem may also be independent of the software phone, and after the software phone collects audio data, it may directly send the audio data collected in real time to the text conversion subsystem. Then, the text conversion subsystem can convert the received audio data into corresponding text data in real time according to the received audio data.

In yet another exemplary embodiment, the system for generating an epidemiological report of an infectious disease may further include a streaming background, where the streaming background is configured to receive the audio data of the streaming object sent by the software phone during the streaming call, and send the audio data to the streaming background. The audio data is sent to the text conversion subsystem. In other words, when the software phone collects audio data, it can also send the audio data to the streaming background, and then the streaming background sends the received audio data to the text conversion subsystem, so that the text conversion subsystem can use the audio Data is converted to text data in real time.

Next, FIG. 5 shows a schematic structural diagram of an infectious disease epidemiology report generation system in another exemplary embodiment of the present disclosure. Among them, the infectious disease epidemiology system 500 is applied to a software call scenario. Referring to FIG. 5 , the system 500 may include a front-end web page 501 , a call center background 502 , a telephone operator 503 , a streaming background 504 , a text conversion subsystem 505 , and a report generation subsystem 506 .

In an exemplary application scenario, the flow dispatcher can dial the object to be dispatched through the software phone embedded in the front-end web page 501, and after the call is made, the instruction is sent to the call center background 502 corresponding to the software phone, and the call center background 502 Establish a good link with the telephone operator 503, and wait for the telephone operator to connect the call of the transfer object. After the transferee answers the call, the voice communication link between the transferee and the transferee is established. The call center background 502 can open up the voice call link and the data call link of the front-end web page, so that the flow dispatching staff and the flow dispatched object can communicate normally.

When the flow dispatch staff and the flow dispatched object have a normal call, the flow dispatch staff's voice data can be sent to the call center background 502 through the front-end web page 501 where the flow dispatch staff is located, and then the call center background 502 can then It is sent to the telephone operator 503, and finally, it is sent to the terminal of the streaming object through the telephone operator 503, so that the streaming object can hear the voice of the streaming staff. Similarly, the voice data of the streamed object can be sent to the phone operator 503 through the terminal device where the streamed object is located, and then the phone operator 503 can send the received voice data of the streamed object to the call center background 502 , the call center background sends the received voice data of the streamed object to the front-end web page 501 , and the streamer can hear the streamed object's voice through the front-end web page 501 .

In other words, whether it is the audio data corresponding to the voice of the streaming staff during the streaming call, or the audio data corresponding to the voice of the streamed object during the streaming call, both can reach the front-end web page or the background of the call center. Therefore, the voice data of the flow dispatching staff and the dispatched object during the communication process of the dispatching call can be collected on the front-end web page or the background of the call center.

In an optional implementation manner, the front-end web page 501 can collect the voice data of the terminal where the flow adjustment staff is located and the terminal where the flow-adjusted object is located, that is, as shown by the mark (1) in FIG. The collected WebRTC voice data is sent to the streaming backend 504 . Specifically, the front-end webpage 501 may collect WebRTC voice data in a preset audio format according to the methods shown in the above steps S210 to S240. The streaming background 504 can send the received WebRTC voice data to the text conversion subsystem 505, and the text conversion subsystem 505 can perform text conversion on the received WebRTC voice data, such as text conversion through speech recognition technology, to obtain Text data corresponding to the WebRTC voice data, and send the obtained text data to the report generation subsystem 506. The report generation subsystem 506 can extract key information from the text data, and generate structured flow tone information according to the extracted key information. , and then according to the structured epidemiological information and template generation technology, the epidemiological report of the target infectious disease of the subject to be epidemiologically generated is automatically generated.

In another optional implementation, the call center background 502 can also collect the voice data of the terminal where the flow dispatching staff is located and the terminal where the flow dispatched object is located, as shown by the mark (2) in FIG. 5 , the call center The background 502 can send the collected voice data to the streaming background 504 . Specifically, the call center background may collect voice data in a preset audio format according to the methods shown in the above steps S310 to S340. The streaming background 504 may send the received voice data to the text conversion subsystem 505, so that the text conversion subsystem 505 performs text conversion on the voice data, thereby obtaining text data corresponding to the voice data. The text conversion subsystem 505 sends the obtained text data to the report generation subsystem 506, and the report generation subsystem 506 can extract key information from the text data, and generate structured flow tone information according to the extracted key information, and then according to the structure It can automatically generate the epidemiological report of the target infectious disease of the subject of the epidemiological investigation.

In yet another optional implementation, when the call center background 502 has integrated a text conversion function, such as a real-time text conversion function, the call center background 502 can directly send the text corresponding to the audio data to the report generator Subsystem 506, as indicated by reference numeral (3) in FIG. 5 . Specifically, the call center background 502 can collect the voice data in the preset audio format according to the methods shown in the above steps S310 to S340, and then perform text conversion on the collected voice data based on the integrated text conversion function to obtain the voice data. The corresponding text is then sent to the report generation subsystem 506, and the report generation subsystem 506 can extract the key information of the text, and generate structured flow tone information according to the extracted key information, and then according to the structured Epidemiological information and template generation technology to automatically generate epidemiological reports of targeted infectious diseases for the objects to be spread.

It should be noted that, the above-mentioned text conversion subsystem 505 and report generation subsystem 506 may also be directly integrated into the flow adjustment background 504, which is not specifically limited in this exemplary embodiment.

Further, FIG. 6 shows a schematic structural diagram 600 of an apparatus for generating an epidemiological report of an infectious disease in an exemplary embodiment of the present disclosure. Referring to FIG. 6 , the apparatus 600 for generating epidemiological reports of infectious diseases may include a call text data acquisition module 610 , a module 620 for generating structured epidemiology information, and a module 630 for generating a report on epidemiology of target infectious diseases. in:

The call text data acquisition module 610 is configured to acquire text data corresponding to the audio data of the stream-tuned object during the stream-tuned call;

The structured flow pattern information generation module 620 is configured to extract information corresponding to the preset keywords in the text data according to the preset keywords related to the infectious disease flow report, so as to be based on the preset keywords. The information corresponding to the keyword generates structured flow tone information corresponding to the text data;

The target infectious disease epidemiology report generating module 630 is configured to generate a target infectious disease epidemiology report according to the structured epidemiological information and using an infectious disease epidemiology report template corresponding to the infectious disease epidemiology report.

In an exemplary implementation, based on the foregoing embodiment, the streamed object conducts a streamed call based on a software phone; based on this, the call text data acquisition module 610 may include an audio data acquisition unit and a text conversion unit . Wherein, the audio data acquisition unit is configured to acquire the audio data sent by the front-end webpage corresponding to the software phone, or to obtain the audio data sent by the call center background corresponding to the software phone; the text conversion unit is configured to perform text conversion on the audio data to obtain text data corresponding to the audio data.

In an exemplary implementation, based on the foregoing embodiment, the front-end web page collects the audio data of the stream-tuned object during the stream-tuned call in the following manner: the front-end web page is establishing a network connection for web instant messaging object, save the connection instance of the network connection object; when the initialization of the streaming call is completed, obtain the first media stream corresponding to the media stream object at the local end and the media at the remote end from the connection instance of the network connection object The second media stream corresponding to the stream object, the remote end is used to indicate the calling terminal where the streamed object is located; the first media stream and the second media stream are combined to generate the target media stream; The target media stream is recorded to acquire the audio data in the preset audio format.

In an exemplary implementation, based on the foregoing embodiment, the call center background collects the audio data of the stream-tuned object during the stream-tuned call in the following manner: acquiring the audio data sent by the front-end web page corresponding to the software phone the first audio data stream; obtain the second audio data stream sent by the telephone operator network connected to the background of the call center, the second audio data stream includes the audio data stream of the terminal where the stream-tuned object is located; The first audio data stream and the second audio data stream are generated to generate a target audio data stream; the target audio data stream is recorded to collect the audio data in a preset audio format.

In an exemplary implementation, based on the foregoing embodiment, the call text data acquisition module may include a voice text acquisition unit, which is configured to acquire the streamed data sent by the call center background corresponding to the software phone Text data corresponding to the audio data when the tune object is streaming a call.

In an exemplary implementation, based on the foregoing embodiments, the structured flow tone information generation module 620 may be specifically configured to: based on regular expressions and/or named entity recognition methods, in the text data Extracting information corresponding to the preset keyword; using the preset keyword as a keyword, and the information corresponding to the preset keyword as a value corresponding to the keyword, generating a structured text data corresponding to the keyword flow information.

In an exemplary implementation, based on the foregoing embodiment, the target infectious disease epidemiology report generating module 630 may be specifically configured to: combine the keywords in the structured epidemiological information with the infectious disease epidemiology Each item name in the report template is matched; for the successfully matched keyword and item name, the value corresponding to the keyword is determined as the item information corresponding to the item indicated by the item name, so as to generate the target infection Disease epidemiology report.

The specific details of each module or each unit in the above-mentioned infectious disease epidemiological report generating device have been described in detail in the corresponding infectious disease epidemiological report generating method, and therefore will not be repeated here.

It should be noted that although several modules or units of the apparatus for action performance are mentioned in the above detailed description, this division is not mandatory. Indeed, according to embodiments of the present disclosure, the features and functions of two or more modules or units described above may be embodied in one module or unit. Conversely, the features and functions of one module or unit described above may be further divided into multiple modules or units to be embodied.

Additionally, although the various steps of the methods of the present disclosure are depicted in the figures in a particular order, this does not require or imply that the steps must be performed in the particular order or that all illustrated steps must be performed to achieve the desired result. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step for execution, and/or one step may be decomposed into multiple steps for execution, and the like.

From the description of the above embodiments, those skilled in the art can easily understand that the exemplary embodiments described herein may be implemented by software, or may be implemented by software combined with necessary hardware. Therefore, the technical solutions according to the embodiments of the present disclosure may be embodied in the form of software products, and the software products may be stored in a non-volatile storage medium (which may be CD-ROM, U disk, mobile hard disk, etc.) or on the network , including several instructions to cause a computing device (which may be a personal computer, a server, a mobile terminal, or a network device, etc.) to execute the method according to an embodiment of the present disclosure.

In an exemplary embodiment of the present disclosure, a computer storage medium capable of implementing the above method is also provided. A program product capable of implementing the method described above in this specification is stored thereon. In some possible embodiments, various aspects of the present disclosure may also be implemented in the form of a program product including program code for causing the program product to run on a terminal device when the program product is run on a terminal device. The terminal device performs the steps according to various exemplary embodiments of the present disclosure described in the above-mentioned "Example Method" section of this specification.

Referring to FIG. 7 , a program product 700 for implementing the above method according to an embodiment of the present disclosure is described, which can adopt a portable compact disk read only memory (CD-ROM) and include program codes, and can be stored in a terminal device, For example running on a personal computer. However, the program product of the present disclosure is not limited thereto, and in this document, a readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

The program product may employ any combination of one or more readable media. The 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 electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus or device, or a combination of any of the above. More specific examples (non-exhaustive list) of readable storage media include: electrical connections with one or more wires, portable disks, hard disks, random access memory (RAM), read only memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disk read only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

A computer readable signal medium may include a propagated data signal in baseband or as part of a carrier wave with readable program code embodied thereon. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. A readable signal medium can also be any readable medium, other than a readable storage medium, that can transmit, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.

Program code embodied on a readable medium may be transmitted using any suitable medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Program code for performing the operations of the present disclosure may be written in any combination of one or more programming languages, including object-oriented programming languages—such as Java, C++, etc., as well as conventional procedural Programming Language - such as the "C" language or similar programming language. The program code may execute entirely on the user computing device, partly on the user device, as a stand-alone software package, partly on the user computing device and partly on a remote computing device, or entirely on the remote computing device or server execute on. Where remote computing devices are involved, the remote computing devices may be connected to the user computing device over any kind of network, including a local area network (LAN) or wide area network (WAN), or may be connected to an external computing device (eg, using an Internet service provider business via an Internet connection).

In addition, in an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.

As will be appreciated by one skilled in the art, various aspects of the present disclosure may be implemented as a system, method or program product. Therefore, various aspects of the present disclosure can be embodied in the following forms: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or a combination of hardware and software aspects, which may be collectively referred to herein as implementations "circuit", "module" or "system".

An electronic device 800 according to this embodiment of the present disclosure is described below with reference to FIG. 8 . The electronic device 800 shown in FIG. 8 is only an example, and should not impose any limitation on the function and scope of use of the embodiments of the present disclosure.

As shown in FIG. 8, electronic device 800 takes the form of a general-purpose computing device. Components of the electronic device 800 may include, but are not limited to, the above-mentioned at least one processing unit 810 , the above-mentioned at least one storage unit 820 , a bus 830 connecting different system components (including the storage unit 820 and the processing unit 810 ), and a display unit 840 .

Wherein, the storage unit stores program codes, and the program codes can be executed by the processing unit 810, so that the processing unit 810 executes various exemplary methods according to the present disclosure described in the above-mentioned “Exemplary Methods” section of this specification. Implementation steps. For example, the processing unit 810 may perform various steps as shown in FIG. 1 to FIG. 4 .

The storage unit 820 may include a readable medium in the form of a volatile storage unit, such as a random access storage unit (RAM) 8201 and/or a cache storage unit 8202 , and may further include a read only storage unit (ROM) 8203 .

The storage unit 820 may also include a program/utility 8204 having a set (at least one) of program modules 8205 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, An implementation of a network environment may be included in each or some combination of these examples.

The bus 830 may be representative of one or more of several types of bus structures, including a memory cell bus or memory cell controller, a peripheral bus, a graphics acceleration port, a processing unit, or a local area using any of a variety of bus structures bus.

The electronic device 800 may also communicate with one or more external devices 900 (eg, keyboards, pointing devices, Bluetooth devices, etc.), with one or more devices that enable a user to interact with the electronic device 800, and/or with Any device (eg, router, modem, etc.) that enables the electronic device 800 to communicate with one or more other computing devices. Such communication may take place through input/output (I/O) interface 850 . Also, the electronic device 800 may communicate with one or more networks (eg, a local area network (LAN), a wide area network (WAN), and/or a public network such as the Internet) through a network adapter 860 . As shown, network adapter 860 communicates with other modules of electronic device 800 via bus 830 . It should be understood that, although not shown, other hardware and/or software modules may be used in conjunction with electronic device 800, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives and data backup storage systems.

From the description of the above embodiments, those skilled in the art can easily understand that the exemplary embodiments described herein may be implemented by software, or may be implemented by software combined with necessary hardware. Therefore, the technical solutions according to the embodiments of the present disclosure may be embodied in the form of software products, and the software products may be stored in a non-volatile storage medium (which may be CD-ROM, U disk, mobile hard disk, etc.) or on the network , including several instructions to cause a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to an embodiment of the present disclosure.

In addition, the above-mentioned figures are merely schematic illustrations of the processes included in the methods according to the exemplary embodiments of the present disclosure, and are not intended to be limiting. It is easy to understand that the processes shown in the above figures do not indicate or limit the chronological order of these processes. In addition, it is also readily understood that these processes may be performed, for example, synchronously or asynchronously in multiple modules.

Other embodiments of the present disclosure will readily suggest themselves to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or techniques in the technical field not disclosed by the present disclosure . The specification and examples are to be regarded as exemplary only, with the true scope and spirit of the disclosure being indicated by the claims.

Claims (12)

1. An infectious disease call report generation method, comprising:

acquiring text data corresponding to audio data of a called party during call dispatching;

extracting information corresponding to preset keywords from the text data according to the preset keywords related to the infectious disease flow regulation report, and generating structured flow regulation information corresponding to the text data based on the information corresponding to the preset keywords;

and generating a target infectious disease flow regulation report by adopting an infectious disease flow regulation report template corresponding to the infectious disease flow regulation report according to the structured flow regulation information.

2. An infectious disease call report generation method as described in claim 1, wherein said called object makes a call based on a software phone;

the acquiring of the text data corresponding to the audio data of the object to be streamed during the streaming communication includes:

acquiring the audio data sent by a front-end webpage corresponding to the software phone, or acquiring the audio data sent by a call center background corresponding to the software phone;

and performing text conversion on the audio data to obtain text data corresponding to the audio data.

3. An infectious disease dispatch report generation method as claimed in claim 2, wherein in the case where the acquired audio data is transmitted from a front end web page corresponding to the softphone, the front end web page collects audio data of the object to be dispatched when the dispatching call is made by:

when the front-end webpage establishes a network connection object of webpage instant messaging, a connection instance of the network connection object is stored;

when the streaming call initialization is completed, acquiring a first media stream corresponding to a media stream object at a local end and a second media stream corresponding to a media stream object at a remote end from a connection instance of the network connection object, wherein the remote end is used for indicating a call terminal where the streamed object is located;

merging the first media stream and the second media stream to generate a target media stream;

and recording the target media stream to acquire the audio data in a preset audio format.

4. An infectious disease call report generation method as claimed in claim 2, wherein in case that the obtained audio data is sent by the call center background corresponding to the software phone, the call center background collects the audio data of the object to be called in the call of the call by:

acquiring a first audio data stream sent by a front-end webpage corresponding to the software phone;

acquiring a second audio data stream sent by a telephone operator network connected with the background of the call center, wherein the second audio data stream comprises an audio data stream of a terminal where the modulated object is located;

combining the first audio data stream and the second audio data stream to generate a target audio data stream;

and recording the target audio data stream to acquire the audio data in a preset audio format.

5. An infectious disease call report generation method as described in claim 1, wherein said called object makes a call based on a software phone;

the acquiring of the text data corresponding to the audio data of the object to be streamed during the streaming communication includes:

and acquiring text data corresponding to the audio data of the object to be streamed during the streaming communication, which is sent by the call center background corresponding to the software telephone.

6. The method of claim 1, wherein extracting information corresponding to a predetermined keyword from the text data according to the predetermined keyword related to the infectious disease call report to generate the structured call information corresponding to the text data based on the information corresponding to the predetermined keyword comprises:

extracting information corresponding to the preset keywords from the text data based on a regularization expression and/or a named entity identification mode;

and generating the structured flow modulation information corresponding to the text data by taking the preset keywords as keywords and the information corresponding to the preset keywords as values corresponding to the keywords.

7. The method of claim 1, wherein generating a target infectious disease call report based on an infectious disease call report template corresponding to the infectious disease call report according to the structured call information comprises:

matching keywords in the structured flow chart information with each item name in the infectious disease flow chart report template;

and determining the value corresponding to the keyword as the item information corresponding to the item indicated by the item name aiming at the keyword and the item name which are successfully matched so as to generate the target infectious disease flow regulation report.

8. An infectious disease call report generation system, comprising:

the software telephone is used for carrying out flow modulation communication with the flow modulation object and acquiring audio data of the flow modulation object during the flow modulation communication;

the text conversion subsystem is used for converting the audio data into corresponding text data;

and the report generation subsystem is used for receiving the text data sent by the text conversion subsystem, extracting information corresponding to preset keywords from the text data according to the preset keywords related to the infectious disease transfer report, generating structured transfer information corresponding to the text data based on the information corresponding to the preset keywords, and generating a target infectious disease transfer report by adopting an infectious disease transfer report template corresponding to the infectious disease transfer report according to the structured transfer information.

9. An infectious disease call report generation system as claimed in claim 8 wherein said software phone includes a front end web page and a call center back office; the acquiring the audio data of the object to be streamed during the stream modulation call comprises the following steps: and acquiring audio data of the object to be modulated during modulation and communication through the front-end webpage or acquiring audio data of the object to be modulated during modulation and communication through the call center background.

10. An infectious disease call report generation device, comprising:

the call text data acquisition module is configured to acquire text data corresponding to audio data of a called party during call transferring;

the structured flow regulation information generation module is configured to extract information corresponding to a preset keyword from the text data according to the preset keyword related to the infectious disease flow regulation report, so as to generate structured flow regulation information corresponding to the text data based on the information corresponding to the preset keyword;

and the target infectious disease flow regulation report generation module is configured to generate a target infectious disease flow regulation report according to the structured flow regulation information and by adopting an infectious disease flow regulation report template corresponding to the infectious disease flow regulation report.

11. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the infectious disease call report generation method according to any one of claims 1 to 7.

12. An electronic device, comprising:

one or more processors;

a storage device to store one or more programs that, when executed by the one or more processors, cause the one or more processors to implement the infectious disease dispatch report generation method of any of claims 1-7.

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