Voice data long link tracking system and method

Abstract

The invention discloses a voice data long link tracking system and method, and the system comprises a vehicle end entertainment device, a voice adaptation server, a voice cloud end, and a voice data server, the vehicle end entertainment device comprises a voice interaction terminal, the voice adaptation server is used for connecting the vehicle end entertainment device and the voice cloud end, and the voice data server is used for connecting the vehicle end entertainment device and the voice cloud end. The voice adaptation server is further used for being connected with a voice engine, the voice cloud end is connected with the vehicle end entertainment device through the voice adaptation server, and the voice cloud end is further used for ecological access. The voice data server is in communication connection with the voice adaptation server and the voice cloud end to obtain voice chain burying point data, the voice data server receives a query instruction, and the voice data server responds to the received query instruction and generates a query result according to the voice chain burying point data.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle-mounted voice data tracking, and in particular to a voice data long link tracking system and method. Background Art

[0002] At present, there is no data tracking platform in the field of voice calls based on the data points of each node of the voice link to obtain the voice data of all nodes of the voice service built with the websocket / http dual protocol. In actual production applications, in order to improve the voice link design, it is necessary to complete the data tracking of the entire link (ASR-NLU-DM-NLG-TTS) from the issuance to the recognition to the return. The invention can realize the senseless data collection of each link of the voice stream, and finally realize the display, statistics and analysis of the data. In production practice, it is necessary to monitor the data of the whole process from audio to text conversion of voice, text to domain intention word slot extraction, content extraction to navigation / music / radio and other CP access, access results to assembling the final text reply, etc., query the data situation of each link, analyze the time consumption of each link and the bottleneck of data flow, so an efficient platform is needed to realize the detailed data collection and display of each connection and each round of dialogue under long connection.

[0003] At present, some car computer manufacturers use a data collection method with strong code intrusion. For the voice data stream of the car computer, they mainly monitor the business traffic and equipment performance, without any visual display and statistical analysis of the voice data stream. Summary of the invention

[0004] In order to solve at least one aspect of the above problems, the present invention provides a voice data long link tracking system, characterized in that it includes a vehicle-side entertainment device, a voice adaptation server, a voice cloud and a voice data server, the vehicle-side entertainment device includes a voice interaction terminal, the voice adaptation server is used to connect the vehicle-side entertainment device and the voice cloud, the voice adaptation server is also used to connect a voice engine, the voice cloud is connected to the vehicle-side entertainment device through the voice adaptation server, the voice cloud is also used for ecological access, the voice data server is respectively communicated with the voice adaptation server and the voice cloud to obtain voice link buried point data, the voice data server receives a query instruction, and the voice data server generates a query result according to the voice link buried point data in response to the received query instruction.

[0005] Preferably, the query instruction includes a voice chain tracking instruction, and the voice data server generates a voice chain table in response to the received voice chain tracking instruction.

[0006] Preferably, the query instruction also includes a voice chain query instruction and a voice process query instruction. The voice data server generates a voice chain process table in response to the voice chain query instruction, and outputs voice process information in response to the received voice process query instruction.

[0007] Preferably, the query instruction includes a connection information query instruction and a connection log query instruction, the voice data server generates a connection information analysis file in response to the received connection information query instruction, and the voice data server generates a connection log file in response to the received connection log query instruction.

[0008] Preferably, the query instruction further includes a data analysis instruction, and the voice data server generates a data analysis file in response to the received data analysis query instruction.

[0009] On the other hand, a method for tracking a long link of voice data is provided, comprising: using a voice data server to obtain voice chain buried point data, the voice chain buried point data including voice chain tags, user tags, vehicle tags, connection time, voice chain status and multiple voice processes, the voice adaptation server is used to connect a vehicle-side entertainment device and a voice cloud, the voice adaptation server is also used to connect a voice engine, the vehicle-side entertainment device includes a voice interaction terminal, the voice cloud is connected to the vehicle-side entertainment device through the voice adaptation server, the voice cloud is also used for ecological access, the voice data server is respectively communicated with the voice adaptation server and the voice cloud to obtain the voice chain buried point data; receiving a query instruction, the voice data server determines the target voice chain data from the voice chain buried point data in response to the query instruction, and generates a query result based on the target voice chain data.

[0010] Preferably, the query instruction includes a voice chain tracking instruction, and the voice data server generates a voice chain table in response to the received voice chain tracking instruction.

[0011] Preferably, the query instruction also includes a voice chain query instruction and a voice process query instruction. The voice data server generates a voice chain process table in response to the voice chain query instruction, and outputs voice process information in response to the received voice process query instruction.

[0012] Preferably, the query instruction includes a connection information query instruction and a connection log query instruction, the voice data server generates a connection information analysis file in response to the received connection information query instruction, and the voice data server generates a connection log file in response to the received connection log query instruction.

[0013] Preferably, the query instruction further includes a data analysis instruction, and the voice data server generates a data analysis file in response to the received data analysis query instruction.

[0014] The voice data long link tracking system and method of the embodiment of the present invention have the following beneficial effects: by obtaining the voice link buried data, the whole link process of the voice link can be tracked; Tongnuo provides a voice data server to store and process the voice link data, which can realize the monitoring of the status of the voice link; further, by monitoring the voice full link data, the system assists technicians to quickly lock problems and analyze defects, and realizes the data tracking, monitoring and analysis platform of the long link of the websocket long connection and http short connection hybrid protocol without feeling. Based on the section data buried point, the system realizes the overview of the whole link, the overall status overview and key data monitoring, and provides solutions for the evaluation of the voice link system, the analysis of voice link problems, the analysis of user habits, and the iterative optimization of the voice link. The data collection adopts a less invasive solution, and does not insert the collection module into the business logic, but directly uses a separate module to collect the full amount at one time. The data display and analysis of the global and key node sections of the vehicle voice flow are carried out, and the key parameters and time consumption of the vehicle nodes are statistically analyzed. The data platform is compatible with multiple projects and multiple voice vendors and has strong scalability. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to better understand the above and other purposes, features, advantages and functions of the present invention, reference may be made to the embodiments shown in the accompanying drawings. The same reference numerals in the accompanying drawings refer to the same components. It should be understood by those skilled in the art that the accompanying drawings are intended to schematically illustrate the preferred embodiments of the present invention and have no limiting effect on the scope of the present invention, and the components in the drawings are not drawn to scale.

[0016] Figure 1 It shows a structural block diagram of a voice data long link tracking system according to an embodiment of the present invention;

[0017] Figure 2 The user location data analysis file corresponding to the user location analysis instruction of the voice data long link tracking method according to the embodiment of the present invention is shown;

[0018] Figure 3 The figure shows a connection time data analysis file corresponding to a connection time analysis instruction of a voice data long link tracing method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0019] The following is a description of exemplary embodiments of the present disclosure in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0020] As used herein, the term "including" and its variations mean open inclusion, i.e., "including but not limited to". Unless otherwise stated, the term "or" means "and / or". The term "based on" means "based at least in part on". The terms "an example embodiment" and "an embodiment" mean "at least one example embodiment". The term "another embodiment" means "at least one additional embodiment". The terms "first", "second", etc. may refer to different or the same objects. Other explicit and implicit definitions may also be included below.

[0021] In order to at least partially solve one or more of the above-mentioned problems and other potential problems, an embodiment of the present disclosure proposes a voice data long link tracking system, including a vehicle-side entertainment device, a voice adaptation server, a voice cloud and a voice data server. The vehicle-side entertainment device includes a voice interaction terminal. The voice adaptation server is used to connect the vehicle-side entertainment device and the voice cloud. The voice adaptation server is also used to connect the voice engine. The voice cloud is connected to the vehicle-side entertainment device through the voice adaptation server. The voice cloud is also used for ecological access. The voice data server communicates with the voice adaptation server and the voice cloud respectively to obtain voice link buried point data. The voice data server receives query instructions. The voice data server generates query results according to the voice link buried point data in response to the received query instructions.

[0022] Specifically, the vehicle-side entertainment device includes a voice interaction module, and the voice interaction module obtains the user's input voice data. In some embodiments, the vehicle-side entertainment device includes a virtual personal assistant unit (VPA: Virtual Personal Assistance), a voice service scheduling unit, a voice service arbitration unit, a voice software development kit (SDK: Software-Development-Kit) and an OS / HAL interface conversion unit.

[0023] The voice adaptation server includes a long link management unit, a protocol configuration unit and a cache management unit, wherein the long link management unit is used to provide a continuous connection of the voice link, the protocol configuration unit is used to provide a match between the vehicle-side entertainment device and the communication protocol of the voice engine and the voice cloud, and the cache management unit is used to receive and store the voice link data received and output by the voice adaptation server.

[0024] The voice cloud includes a resource allocation library, a voice understanding module, an arbitration module, a dialogue management module, an intelligent retrieval module and an adaptation interface module. The voice cloud is connected to the vehicle-side entertainment device and the voice engine through an adaptation server, and the voice cloud is connected to the voice engine in communication. The voice cloud includes a semantic understanding module, which is connected to the voice engine, receives the engine semantic results through the voice engine and fuses them to generate fused semantic results. The dialogue management module of the voice cloud generates a request instruction based on the fused semantic results. The request instruction includes connecting to the target ecological network and performing an intelligent search in the target ecological network based on the fused semantic results to obtain the result data corresponding to the user's request voice. The voice cloud also includes an ecological access module for accessing mass platforms and third-party information sources. For example, the target ecological network includes preset music / video platforms, navigation platforms, weather forecast platforms, shopping platforms, etc.

[0025] The voice engine includes a private voice cloud and a public voice cloud. The private voice cloud is connected to the public voice cloud (e.g. DUI: Dialogue User Interface). The private voice cloud includes an ASR module, a NLU module, and a TTS module.

[0026] The voice data server includes a data connection module, a database (MySQL) module, a vehicle information module, an engine (ES) function description module, an open source database (HBASE) function description module, a data analysis module, a link monitoring module, a log platform module and a standard platform module, etc. The voice data server obtains the voice link buried data by connecting to the voice adaptation server and the voice cloud. The voice link buried data includes a voice link tag, a user tag, a vehicle tag, a connection time, a voice link status and multiple voice processes. The voice link tag is used to uniquely identify the voice link, the user tag is used to uniquely identify the voice link user, the vehicle tag is used to uniquely mark the vehicle where the vehicle-side entertainment device corresponding to the voice link is located, the connection time includes the connection time and disconnection time of each of the multiple voice processes of the voice link, and the voice link status includes the connection status of each of the multiple voice processes. In some embodiments, such as Figure 1As shown, multiple voice processes include: process 1, the process of the vehicle-side entertainment device outputting the user's input voice to the voice adaptation server; process 2, the process of the voice adaptation server outputting the voice recognition request to the voice engine; process 3, the process of the voice engine outputting the voice recognition result to the voice adaptation server; process 4, the process of the voice adaptation server outputting the voice recognition result to the vehicle-side entertainment device and the voice cloud; process 5, the process of the voice cloud outputting the semantic understanding request to the voice engine; process 6, the process of the voice engine outputting the semantic understanding result to the voice cloud; process 7, the process of the voice cloud outputting the fused semantic understanding result based on the received semantic understanding combination; process 8, the process of the dialogue management module of the voice cloud generating an execution instruction according to the semantic understanding result; process 9, the process of the voice cloud connecting to the target ecological network according to the execution instruction; process 10, the process of the voice cloud obtaining the result data through the target ecological network; process 11, the process of the voice adaptation server receiving the result data; process 12, the process of the voice adaptation server outputting the result data to the vehicle-side entertainment device.

[0027] In some embodiments, the query instruction includes a voice chain tracking instruction, and the voice data server generates a voice chain table in response to the received voice chain tracking instruction.

[0028] Specifically, the voice link table includes a plurality of voice link data, for example, the plurality of voice link data are all voice link data within a specified time period, and the plurality of voice link data are arranged according to the voice link establishment time. Each voice link includes a voice link tag, a user tag, a vehicle tag, a voice link state, a voice request, and result data. In some embodiments, the voice data server further includes a display unit, the display unit uses a display, and the voice data server displays the generated voice link table through the display in response to the received voice link tracking instruction.

[0029] In some embodiments, the query instruction also includes a voice link query instruction and a voice process query instruction. The voice data server generates a voice link process table in response to the voice link query instruction, and outputs voice process information in response to the received voice process query instruction.

[0030] Specifically, the voice chain table includes an instruction receiving entrance, which is used to receive a voice chain query instruction. The voice chain query instruction includes a voice chain tag. The voice chain process table is used to display the target voice chain process corresponding to the voice chain tag. For example, the voice chain process table includes a voice process tag and a voice process data flow direction. According to the voice chain process table, the overall data flow sequence and flow direction of the target voice chain can be known. The voice process query instruction includes a voice chain tag and a voice process tag, such as Figure 1As shown, you can input a voice process query instruction by clicking the circular icon labeled in the figure. The voice process information output by the voice data server includes the target voice process information corresponding to the voice process query instruction. The target voice process information includes the voice process connection duration, voice process status and voice process data processing process information.

[0031] In some embodiments, the query instruction includes a connection information query instruction, and the voice data server generates a connection information analysis file in response to the received connection information query instruction. In some embodiments, the query instruction includes a connection log query instruction, and the voice data server generates a connection log file in response to the received connection information query instruction.

[0032] Specifically, the connection information analysis file includes multiple target voice link data. The connection information of the target voice link includes the connection establishment time of the target voice link, and also includes the manufacturer, vehicle model, vehicle identification number and link connection status of the target voice link. The connection log file includes multiple voice link data of the target vehicle within a specified time period, and each of the multiple voice link data includes a voice user tag, vehicle model tag, voice cloud tag, voice link tag, creation time, voice recognition result, semantic understanding result, request data result and voice link status. The voice link status includes an unrecognized state and a recognized no error state.

[0033] The voice data server includes a data log module, which outputs log query results in response to input connection log query instructions. The log query instructions include connection time, dialogue management, fused semantic understanding results, self-developed semantic understanding results and system information.

[0034] In some embodiments, the query instruction further includes a data analysis instruction, and the voice data server generates a data analysis file in response to the received data analysis query instruction.

[0035] Specifically, the data analysis instructions include connection time analysis instructions, intention hit analysis instructions, skill proportion distribution analysis instructions, each section link duration analysis instructions, user location analysis instructions, voice request recognition analysis instructions, etc. It can be understood by those skilled in the art that the voice chain data obtained by the voice data server includes all voice chains passing through the voice data server. The data analysis instructions include a specified time, and the voice data server generates a corresponding data analysis file in response to the received data analysis instructions, and outputs a preset icon corresponding to the data analysis file. The preset icons include a bar chart, a pie chart, a line chart, a dot map, a radar chart, etc.

[0036] The connection time analysis instruction includes a vehicle tag and a specified time. The connection time data analysis file includes multiple voice link data of a target vehicle corresponding to the vehicle tag within the specified time, and the distribution of the connection duration of the multiple voice link data over time (specified period, such as day, week, month, etc.). The voice link data includes a connection establishment time and a connection disconnection time. The voice link connection duration is determined according to the connection establishment time and the connection disconnection time, and the distribution of the connection duration over time is determined according to the connection duration of the multiple voice link data and the connection establishment time.

[0037] The intention hit data analysis file corresponding to the intention hit analysis instruction includes the intention hit probability distribution of multiple voice chain data stored in the voice data server. Whether the intention is hit is evaluated based on the semantic recognition results and result data of the multiple voice chain data, and the intention hit probability is determined based on the ratio of the number of intention hit voice chains and the total number of voice chains. In some embodiments, the intention hit analysis instruction also includes skill information, such as weather, music, navigation, etc. When the skill information is weather, the multiple voice chain data corresponding to the weather are determined based on the semantic recognition results in the voice chain data, and the number of hit voice chains is determined based on the result data in the multiple voice chain data. Further, the intention hit probability is determined based on the number of weather hit voice chains and the total number of multiple voice chains corresponding to the weather.

[0038] Skill ratio distribution data analysis file corresponding to the skill ratio analysis instruction. The voice data server determines the corresponding skills based on the semantic recognition results of the stored multiple voice chain data. For example, the semantic recognition results of what is the temperature today and what is the weather like today are the voice chain data corresponding to the weather skill. The skill distribution includes greetings, temperature, news, calculator, stocks, radio, weather, vehicle control, multimedia, navigation and calls. According to the semantic recognition results of the voice chain, the number of voice chains corresponding to each skill is determined respectively, and then the skill ratio distribution is determined in combination with the total number of voice chains.

[0039] The voice request recognition analysis instruction counts the number of times the words appear based on the semantic recognition results of the voice chain data, and then displays them from high to low based on the statistical frequency results.

[0040] User location analysis instructions correspond to user distribution data analysis files. Figure 2 and Figure 3 As shown, the user distribution data includes user duration distribution data and user location distribution data, wherein the user duration distribution data is the distribution of the number of users in each time period within a preset time (e.g., one day, one week, one month, etc.), and the user online time is determined according to the voice link establishment time in the voice link data. The user location distribution data is the distribution of the number of users in each city, and the city where the user is located is determined according to the user address of the voice link data, and then the voice links in each city are arranged and displayed.

[0041] In some embodiments, the data analysis instruction also includes an overall preview instruction. The voice data server generates an overall preview data analysis file in response to the overall preview instruction, and the overall preview data analysis file includes the sum of data analysis files corresponding to the connection time analysis instruction, the intention hit analysis instruction, the skill proportion distribution analysis instruction, the link duration analysis instruction for each section, the user location analysis instruction, and the voice request recognition analysis instruction.

[0042] A method for tracking a long link of voice data includes: using a voice data server to obtain voice link buried data, the voice link buried data includes a voice link tag, a user tag, a vehicle tag, a connection time, a voice link status and multiple voice processes, a voice adaptation server is used to connect a vehicle-side entertainment device and a voice cloud, the voice adaptation server is also used to connect a voice engine, the vehicle-side entertainment device includes a voice interaction terminal, the voice cloud is connected to the vehicle-side entertainment device through the voice adaptation server, the voice cloud is also used for ecological access, the voice data server is respectively connected to the voice adaptation server and the voice cloud to obtain the voice link buried data; receiving a query instruction, the voice data server determines the target voice link data from the voice link buried data in response to the query instruction, and generates a query result based on the target voice link data.

[0043] Specifically, the voice data server obtains the voice link buried data by connecting to the voice adaptation server and the voice cloud. The voice link buried data includes a voice link tag, a user tag, a vehicle tag, a connection time, a voice link status, and multiple voice processes. The voice link tag is used to uniquely identify the voice link, the user tag is used to uniquely identify the voice link user, the vehicle tag is used to uniquely mark the vehicle where the vehicle-side entertainment device corresponding to the voice link is located, the connection time includes the connection time and disconnection time of each voice process in the multiple voice processes of the voice link, and the voice link status includes the connection status of each voice process in the multiple voice processes. The target voice link data is a plurality of voice link data selected by the voice data server from the voice link buried data obtained by it according to the query instruction. For example, if the query instruction includes a user tag, the target voice link data selected by the voice data server is a plurality of voice link data including the user tag. In some embodiments, the query instruction also includes any one or more of the vehicle tag, the voice link tag, and the voice cloud tag.

[0044] In some embodiments, Figure 1As shown, multiple voice processes include: a process in which the vehicle-side entertainment device outputs the user's input voice to the voice adaptation server; a process in which the voice adaptation server outputs a voice recognition request to the voice engine; a process in which the voice engine outputs a voice recognition result to the voice adaptation server; a process in which the voice adaptation server outputs the voice recognition result to the vehicle-side entertainment device and the voice cloud; a process in which the voice cloud outputs a semantic understanding request to the voice engine; a process in which the voice engine outputs the semantic understanding result to the voice cloud; a process in which the dialogue management module of the voice cloud generates an execution instruction based on the semantic understanding result; a process in which the voice cloud connects to the target ecological network based on the execution instruction; a process in which the voice cloud obtains result data through the target ecological network; a process in which the voice adaptation server receives result data; and a process in which the voice adaptation server outputs result data to the vehicle-side entertainment device.

[0045] In some embodiments, the query instruction includes a voice chain tracking instruction, and the voice data server generates a voice chain table in response to the received voice chain tracking instruction.

[0046] Specifically, the voice link table includes a plurality of voice link data, each of which includes a voice link tag, a user tag, a vehicle tag, a voice link state, a voice request, and result data. In some embodiments, the voice link tracking instruction also includes a time period and a vehicle tag. The voice link tracking instruction is used to track the voice link data of the target vehicle corresponding to the vehicle tag within the time period. In another embodiment, the voice link tracking instruction also includes a user tag, a voice cloud tag, etc., wherein the voice cloud tag is used to uniquely identify the voice cloud.

[0047] In some embodiments, the query instruction also includes a voice link query instruction and a voice process query instruction. The voice data server generates a voice link process table in response to the voice link query instruction, and outputs voice process information in response to the received voice process query instruction.

[0048] Specifically, the voice chain query instruction includes a voice chain tag, and the voice chain process table is used to display the target voice chain process corresponding to the voice chain tag. The voice process query instruction includes a voice chain tag and a voice process tag, and the voice process information output by the voice data server includes the target voice process information corresponding to the voice process query instruction.

[0049] In some embodiments, the query instruction includes a connection information query instruction and a connection log query instruction, the voice data server generates a connection information analysis file in response to the received connection information query instruction, and the voice data server generates a connection log file in response to the received connection log query instruction.

[0050] Specifically, the connection information analysis file includes multiple target voice link data. The connection information of the target voice link includes the connection establishment time of the target voice link, and also includes the manufacturer, vehicle model, vehicle identification number and link connection status of the target voice link. The connection log file includes multiple voice link data of the target vehicle within a specified time period, and each of the multiple voice link data includes a voice user tag, vehicle model tag, voice cloud tag, voice link tag, creation time, voice recognition result, semantic understanding result, request data result and voice link status. The voice link status includes an unrecognized state and a recognized no error state.

[0051] In some embodiments, the query instruction further includes a data analysis instruction, and the voice data server generates a data analysis file in response to the received data analysis query instruction.

[0052] Specifically, the data analysis instructions include connection time analysis instructions, intent hit analysis instructions, skill proportion distribution analysis instructions, each section link duration analysis instructions, user location analysis instructions, voice request recognition analysis instructions, etc. The voice data server generates a corresponding data analysis file in response to the received data analysis instructions.

[0053] The embodiments of the present disclosure have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or technical improvements in the market, or to enable other persons of ordinary skill in the art to understand the present invention.

Claims

1. A voice data long link tracking system, characterized in that: It includes a vehicle-side entertainment device, a voice adaptation server, a voice cloud and a voice data server. The vehicle-side entertainment device includes a voice interaction terminal. The voice adaptation server is used to connect the vehicle-side entertainment device and the voice cloud. The voice adaptation server is also used to connect a voice engine. The voice cloud is connected to the vehicle-side entertainment device through the voice adaptation server. The voice cloud is also used for ecological access. The voice data server is respectively communicated with the voice adaptation server and the voice cloud to obtain voice chain buried data. The voice data server receives query instructions. The voice data server generates query results according to the voice chain buried data in response to the received query instructions.

2. The system according to claim 1, characterized in that The query instruction includes a voice chain tracking instruction, and the voice data server generates a voice chain table in response to the received voice chain tracking instruction.

3. The system according to claim 2, characterized in that The query instruction also includes a voice chain query instruction and a voice process query instruction. The voice data server generates a voice chain process table in response to the voice chain query instruction, and outputs voice process information in response to the received voice process query instruction.

4. The system according to claim 3, characterized in that The query instruction includes a connection information query instruction and a connection log query instruction. The voice data server generates a connection information analysis file in response to the received connection information query instruction. The voice data server generates a connection log file in response to the received connection log query instruction.

5. The system according to claim 4, characterized in that The query instruction also includes a data analysis instruction, and the voice data server generates a data analysis file in response to the received data analysis query instruction.

6. A method for tracing a long voice data link, characterized in that: include: A voice data server is used to obtain voice chain buried point data, wherein the voice chain buried point data includes a voice chain tag, a user tag, a vehicle tag, a connection time, a voice chain state, and multiple voice processes. The voice adaptation server is used to connect the vehicle-side entertainment device and the voice cloud. The voice adaptation server is also used to connect the voice engine. The vehicle-side entertainment device includes a voice interaction terminal. The voice cloud is connected to the vehicle-side entertainment device through the voice adaptation server. The voice cloud is also used for ecological access. The voice data server is respectively connected to the voice adaptation server and the voice cloud to obtain the voice chain buried point data. A query instruction is received, and the voice data server determines target voice chain data from the voice chain buried data in response to the query instruction, and generates a query result based on the target voice chain data.

7. The method according to claim 6, characterized in that The query instruction includes a voice chain tracking instruction, and the voice data server generates a voice chain table in response to the received voice chain tracking instruction.

8. The method according to claim 7, characterized in that The query instruction also includes a voice chain query instruction and a voice process query instruction. The voice data server generates a voice chain process table in response to the voice chain query instruction, and outputs voice process information in response to the received voice process query instruction.

9. The method according to claim 8, characterized in that The query instruction includes a connection information query instruction and a connection log query instruction. The voice data server generates a connection information analysis file in response to the received connection information query instruction. The voice data server generates a connection log file in response to the received connection log query instruction.

10. The method according to claim 9, characterized in that The query instruction also includes a data analysis instruction, and the voice data server generates a data analysis file in response to the received data analysis query instruction.

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