1. A method of automatic recording bookmark storage, comprising:

acquiring and storing a sound recording file, and importing the sound recording file into a preset translation program to generate text translation content;

determining an identification bookmark of the sound recording file according to the text translation content, and storing the text translation content by taking the identification bookmark as index information;

sending a text transmission request to a preset AI robot, and determining transmission information corresponding to the text transmission request;

and tracing the corresponding identification bookmark according to the transmission information, and sending the corresponding text translation content to the user intelligent terminal.

2. The method for automatically storing the recording bookmark as claimed in claim 1, wherein the obtaining and storing the recording file, importing the recording file into a preset translation program, and generating text translation contents comprises:

recording the call in real time based on a preset telephone system, and generating a call record;

acquiring the call time and the call information of a call record, and determining a recording text according to the call time and the call information of the call record; wherein the content of the first and second substances,

the call time comprises the starting time and the ending time of the call;

and importing the determined recording text into a preset translation program in a telephone system, and extracting and recording the text of the call record to generate text translation content.

3. The method for automatically storing the recording bookmark according to claim 2, wherein the step of introducing the determined recording text into a translation program preset in a telephone system, performing text extraction and recording on the call record, and generating text translation contents further comprises the steps of:

step A1: importing the determined recording text into a preset translation program in a telephone system, extracting and recording the text of the call record, and determining initial translation content;

step A2: acquiring a target node based on a preset block chain platform;

step A3: determining the corresponding relation between the mark information and the initial translation content, importing the sound recording text into a target node according to the corresponding relation, and determining a storage node;

step A3: encrypting the storage node, and determining an encryption key and an authentication password;

step A4: and transmitting the encryption key and the verification password to a preset intelligent terminal, and determining text translation contents according to the encryption key and the recording text.

4. The method of claim 3, wherein the obtaining the target node based on the predetermined blockchain platform further comprises:

step 1: and (3) performing risk estimation on the target node to obtain an estimated risk result:

D_a,b,c∈U＝(L_a,M_b,H_c)

wherein D represents the estimated risk result, a represents the target node set of the low risk result, b represents the target node set of the medium risk result, c represents the target node set of the high risk result, U represents the set of all target nodes, D_a,b,c∈UThe pre-estimated risk results representing all the target node sets, L represents the low pre-estimated risk value set of the pre-estimated risk results, L_aRepresenting a low estimated risk value set of a target node set a, M representing an intermediate estimated risk value set of the target node, M_bRepresenting the intermediate estimated risk value set of the target node set b, H representing the high estimated risk value set of the target node, H_cRepresenting a high estimated risk value set of the target node set c;

step 2: acquiring a relation matrix of the estimated risk through an estimated risk result;

wherein R is a relationship matrix for the predicted risk results for low, medium and high risk, E_ijFor a preset desired matrix of i rows and j columns,L_ijrepresenting an i-row j-column matrix, M, generated by a set of lowest predicted risk values_ijRepresenting the i row and j column relationship matrix, H, generated by intermediate predictive risk value sets_ijRepresenting an i row and j column relation matrix generated by the highest estimated risk value;i is the total row number of the collected matrix, and j is the total column number of the collected matrix;

and step 3: normalizing and normalizing the relation matrix, and calculating the weight value of the target node:

wherein, W_xWeight value vector, R, representing the x-th row matrix_xyA relationship matrix representing the x-th row and the y-th column, wherein x is 1,2, … i, and y is 1,2, … j;

and 4, step 4: and determining a weight matrix according to the weight value, and evaluating the target node according to the matrix in the region.

5. The method of claim 4, wherein the step 4 further comprises:

step 401: determining a weight matrix according to the weight value vector:

W＝(W₁,W₂,…,W_x,…,W_i)^T

wherein W represents a weight matrix, W_xWeight value vector, W, representing a matrix of x rows₁Weight value vector, W, representing the 1 st line matrix₂Weight value vector, W, representing the 2 nd row matrix_iRepresenting a weight value vector of the ith matrix, wherein x is 1,2, … i, and i is the total row number of the collected matrixes;

step 402: calculating a risk rating result set of the storage events according to the weight matrix:

S＝Q(U*W)

s represents a risk rating result set, Q represents a preset evaluation index evaluation method, and U represents a set of all target nodes;

step 403: filtering the risk rating results which are larger than a preset risk threshold value in the risk rating results, reselecting nodes nearby, and determining nearby nodes;

step 404: and evaluating the indexes of the nearby nodes again, and updating the historical target nodes.

6. The method for automatically storing sound recording bookmarks of claim 1, wherein the determining an identification bookmark of a sound recording file according to the text translation content, and storing the text translation content with the identification bookmark as index information comprises:

acquiring call information of the translated content, and determining position identification information according to the call information; wherein the content of the first and second substances,

the position identification information at least comprises a client home location and a local position of a telephone system of an operator signal tower;

generating an identification bookmark according to the position identification information and the call time; wherein the content of the first and second substances,

establishing a bookmark index according to the identification bookmark;

converting the transfer content into a preset text format, and determining text content;

and storing the text content into a preset storage system through the bookmark index, and determining text translation content.

7. The method for automatically storing the recording bookmark according to claim 1, wherein the sending a text transmission request to a preset AI robot and determining the identification bookmark corresponding to the text transmission request comprises:

based on a preset AI robot, acquiring and receiving a text transmission request sent by a user, and determining a response request;

sending the response request to the intelligent terminal and receiving verification information;

matching the position information of the text translation content with the target position of the user through the verification information, and determining a matching result;

and identifying whether the matching result is successfully matched or not based on a preset AI robot, and determining the identification bookmark corresponding to the text transmission request when the matching result is successfully matched.

8. The method of claim 7, wherein the identifying whether the matching result is successfully matched based on a preset AI robot further comprises:

and when the matching result is matching failure, generating an abnormal result, and transmitting the abnormal result to the phone system and the intelligent terminal.

9. The method for automatically storing recording bookmarks of claim 8, wherein the step of transmitting the exception result to a phone system and a smart terminal further comprises the steps of:

step S1: acquiring an abnormal result, counting abnormal times, and recording the abnormal rate according to the abnormal times;

step S2: according to the abnormal data, tracing the storage nodes in the block chain platform, and determining abnormal nodes;

step S3: decoding the abnormal node to determine a decoded file;

step S4: based on a preset repair mechanism, repairing the decoding file to determine a repair sound recording file;

step S5: and re-encrypting the repaired sound recording file, determining an encrypted file, re-storing the encrypted file to a phone system, and updating historical storage data.

10. The method as claimed in claim 1, wherein the step of tracing back the corresponding bookmark according to the transmission information and sending the corresponding text translation content to the user intelligent terminal comprises:

tracing the corresponding identification bookmark according to the transmission information;

acquiring target text translation content according to the identification bookmark, and acquiring a corresponding target identification bookmark through the target text translation content;

acquiring a bookmark index, retrieving the bookmark index through the target tag bookmark, and determining a retrieval result;

when the retrieval result is that the retrieval is successful, acquiring an index number, and sending corresponding text translation content to the user intelligent terminal according to the index number;

and when the retrieval result is a retrieval failure, sending the failure retrieval result to the user intelligent terminal.

Background

At present, in the process of telephone communication of 400, a plurality of scenes needing to be recorded are recorded, and in the traditional mode, a client at one end of a telephone looks for a paper pen and repeatedly broadcasts the record through customer service, so that the traditional telephone is particularly troublesome, has more limitations and cannot record details. This reduces communication efficiency and also brings a less than good service experience.

Disclosure of Invention

The invention provides automatic recording bookmark storage to solve the problems in the background technology.

The invention provides a method for automatically storing recording bookmarks, which is characterized by comprising the following steps:

acquiring and storing a sound recording file, and importing the sound recording file into a preset translation program to generate text translation content;

determining an identification bookmark of the sound recording file according to the text translation content, and storing the text translation content by taking the identification bookmark as index information;

sending a text transmission request to a preset AI robot, and determining transmission information corresponding to the text transmission request;

and tracing the corresponding identification bookmark according to the transmission information, and sending the corresponding text translation content to the user intelligent terminal.

As an embodiment of the present technical solution, the acquiring and storing a sound recording file, and importing the sound recording file into a preset translation program to generate text translation contents includes:

recording the call in real time based on a preset telephone system, and generating a call record;

acquiring the call time and the call information of a call record, and determining a recording text according to the call time and the call information of the call record; wherein the content of the first and second substances,

the call time comprises the starting time and the ending time of the call;

and importing the determined recording text into a preset translation program in a telephone system, and extracting and recording the text of the call record to generate text translation content.

As an embodiment of the present technical solution, the step of importing the determined recording text into a translation program preset in a phone system, extracting and recording the text of the call record, and generating text translation contents further includes the following steps:

step A1: importing the determined recording text into a preset translation program in a telephone system, extracting and recording the text of the call record, and determining initial translation content;

step A2: acquiring a target node based on a preset block chain platform;

step A3: determining the corresponding relation between the mark information and the initial translation content, importing the sound recording text into a target node according to the corresponding relation, and determining a storage node;

step A3: encrypting the storage node, and determining an encryption key and an authentication password;

step A4: and transmitting the encryption key and the verification password to a preset intelligent terminal, and determining text translation contents according to the encryption key and the recording text.

As an embodiment of the present technical solution, before acquiring a target node, the method further includes, based on a preset block chain platform:

step 1: and (3) performing risk estimation on the target node to obtain an estimated risk result:

D_a,b,c∈U＝(L_a,M_b,H_c)

wherein D represents the estimated risk result, a represents the target node set of the low risk result, b represents the target node set of the medium risk result, c represents the target node set of the high risk result, U represents the set of all target nodes, D_a,b,c∈UThe pre-estimated risk results representing all the target node sets, L represents the low pre-estimated risk value set of the pre-estimated risk results, L_aRepresenting a low estimated risk value set of a target node set a, M representing an intermediate estimated risk value set of the target node, M_bRepresenting the intermediate estimated risk value set of the target node set b, H representing the high estimated risk value set of the target node, H_cRepresenting a high estimated risk value set of the target node set c;

step 2: acquiring a relation matrix of the estimated risk through an estimated risk result;

wherein R is a relationship matrix for the predicted risk results for low, medium and high risk, E_ijFor a preset desired matrix of i rows and j columns,L_ijrepresenting an i-row j-column matrix, M, generated by a set of lowest predicted risk values_ijRepresenting the i row and j column relationship matrix, H, generated by intermediate predictive risk value sets_ijRepresenting an i row and j column relation matrix generated by the highest estimated risk value; i is the total row number of the collected matrix, and j is the total column number of the collected matrix;

and step 3: normalizing and normalizing the relation matrix, and calculating the weight value of the target node:

wherein, W_xWeight value vector, R, representing the x-th row matrix_xyA relationship matrix representing the x-th row and the y-th column, wherein x is 1,2, … i, and y is 1,2, … j;

and 4, step 4: and determining a weight matrix according to the weight value, and evaluating the target node according to the matrix in the region.

As an embodiment of the present technical solution, the step 4 further includes:

step 401: determining a weight matrix according to the weight value vector:

W＝(W₁,W₂,…,W_x,…,W_i)^T

wherein W represents a weight matrix, W_xWeight value vector, W, representing a matrix of x rows₁Weight value vector, W, representing the 1 st line matrix₂Weight value vector, W, representing the 2 nd row matrix_iRepresenting a weight value vector of the ith matrix, wherein x is 1,2, … i, and i is the total row number of the collected matrixes;

step 402: calculating a risk rating result set of the storage events according to the weight matrix:

S＝Q(U*W)

s represents a risk rating result set, Q represents a preset evaluation index evaluation method, and U represents a set of all target nodes;

step 403: filtering the risk rating results which are larger than a preset risk threshold value in the risk rating results, reselecting nodes nearby, and determining nearby nodes;

step 404: and evaluating the indexes of the nearby nodes again, and updating the historical target nodes.

As an embodiment of the present technical solution, the determining an identification bookmark of a sound recording file according to the text translation content, and storing the text translation content with the identification bookmark as index information includes:

acquiring call information of the translated content, and determining position identification information according to the call information; wherein the content of the first and second substances,

the position identification information at least comprises a client home location and a local position of a telephone system of an operator signal tower;

generating an identification bookmark according to the position identification information and the call time; wherein the content of the first and second substances,

establishing a bookmark index according to the identification bookmark;

converting the transfer content into a preset text format, and determining text content;

and storing the text content into a preset storage system through the bookmark index, and determining text translation content.

As an embodiment of the present technical solution, the sending a text transmission request to a preset AI robot and determining an identification bookmark corresponding to the text transmission request includes:

based on a preset AI robot, acquiring and receiving a text transmission request sent by a user, and determining a response request;

sending the response request to the intelligent terminal and receiving verification information;

matching the position information of the text translation content with the target position of the user through the verification information, and determining a matching result;

and identifying whether the matching result is successfully matched or not based on a preset AI robot, and determining the identification bookmark corresponding to the text transmission request when the matching result is successfully matched.

As an embodiment of the present technical solution, the identifying whether the matching result is successfully matched based on a preset AI robot further includes:

and when the matching result is matching failure, generating an abnormal result, and transmitting the abnormal result to the phone system and the intelligent terminal.

As an embodiment of the present technical solution, the transmitting the abnormal result to the phone system and the intelligent terminal further includes the following steps:

step S1: acquiring an abnormal result, counting abnormal times, and recording the abnormal rate according to the abnormal times;

step S2: according to the abnormal data, tracing the storage nodes in the block chain platform, and determining abnormal nodes;

step S3: decoding the abnormal node to determine a decoded file;

step S4: based on a preset repair mechanism, repairing the decoding file to determine a repair sound recording file;

step S5: and re-encrypting the repaired sound recording file, determining an encrypted file, re-storing the encrypted file to a phone system, and updating historical storage data.

As an embodiment of the present technical solution, the tracing back the corresponding identification bookmark according to the transmission information and sending the corresponding text translation content to the user intelligent terminal includes:

tracing the corresponding identification bookmark according to the transmission information;

acquiring target text translation content according to the identification bookmark, and acquiring a corresponding target identification bookmark through the target text translation content;

acquiring a bookmark index, retrieving the bookmark index through the target tag bookmark, and determining a retrieval result;

when the retrieval result is that the retrieval is successful, acquiring an index number, and sending corresponding text translation content to the user intelligent terminal according to the index number;

and when the retrieval result is a retrieval failure, sending the failure retrieval result to the user intelligent terminal.

The invention has the following beneficial effects:

1 when a client needs to call and needs to record a lot of key information, the recording is stored in real time, the telephone system triggers the recording storage, the call between the client and the customer service is recorded in real time, when the whole call is finished, the telephone system starts a translation program, the recording is translated into characters to be extracted, and the telephone + call time is stored in the telephone system as a book signature.

And 2, storing the bookmark locally, transmitting the generated recording translation text bookmark to a telephone attribution place of a client through a network transmission mode by using an off-line acquisition telephone system, and transmitting the generated recording translation text bookmark to a local signal tower telephone system of an operator, wherein the client can subsequently send a robot service to the local telephone system, and the off-line bookmark text is acquired through the guidance of a robot and is transmitted to the client in a mail or short message mode.

And 3, system help recording is realized, so that the client can remember a communication scene more comprehensively, the communication time is reduced, the communication efficiency is improved, and the service experience is improved.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.

The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:

FIG. 1 is a flow chart of a method for automatic recording bookmark storage in an embodiment of the present invention;

FIG. 2 is a flowchart of a method for automatic recording bookmark storage in an embodiment of the present invention;

FIG. 3 is a flowchart of a method for automatically storing recording bookmarks in an embodiment of the present invention.

Detailed Description

The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.

Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.

Example 1:

according to fig. 1, the present invention provides a method for automatically storing recording bookmarks, comprising:

acquiring and storing a sound recording file, and importing the sound recording file into a preset translation program to generate text translation content;

determining an identification bookmark of the sound recording file according to the text translation content, and storing the text translation content by taking the identification bookmark as index information;

sending a text transmission request to a preset AI robot, and determining transmission information corresponding to the text transmission request;

and tracing the corresponding identification bookmark according to the transmission information, and sending the corresponding text translation content to the user intelligent terminal.

The working principle of the technical scheme is as follows:

the embodiment of the invention provides a method for automatically storing recording bookmarks, which comprises the steps of triggering recording storage through a telephone system, recording a call between a client and a customer service in real time, acquiring and storing a recording file, starting a translation program by the telephone system when the whole call is finished, translating the recording file based on a preset translation mechanism, determining translation contents, translating the recording into characters, extracting, storing identification information such as a telephone and the like and call time as a book signature in the telephone system, acquiring identification bookmarks of the recording file, storing the translation contents into a preset storage system according to the identification bookmarks, determining the storage contents, transmitting the generated translation text bookmarks of the recording to a telephone home location of the client through a network transmission mode by the telephone system, transmitting the translation text bookmarks to a local signal tower system of an operator, and subsequently enabling the client to perform robot service of the telephone system of the local telephone system, acquiring a target position of a user, transmitting the storage content to the target position, identifying the storage content through a preset AI robot, determining an identification result, acquiring an offline bookmark text through guidance of the robot, sending the offline bookmark text to a client in a mail or short message mode and the like,

the beneficial effects of the above technical scheme are:

according to the technical scheme, the conversation system is realized and provided to help record client communication, so that the client can remember a communication scene more comprehensively, and through password verification and other modes, the conversation safety is guaranteed, the communication time is shortened, the communication efficiency is improved, and the service experience is improved.

Example 2:

as shown in fig. 2, the technical solution provides an embodiment, where the obtaining and storing a sound recording file, and importing the sound recording file into a preset translation program to generate text translation content includes:

recording the call in real time based on a preset telephone system, and generating a call record;

acquiring the call time and the call information of a call record, and determining a recording text according to the call time and the call information of the call record; wherein the content of the first and second substances,

the call time comprises the starting time and the ending time of the call;

and importing the determined recording text into a preset translation program in a telephone system, and extracting and recording the text of the call record to generate text translation content.

The working principle of the technical scheme is as follows:

the technical scheme includes that a recording file is obtained and stored, the recording file is translated based on a preset translation mechanism, translation contents are determined, when the whole call is finished, a translation program is started by a phone system, the call is recorded in real time based on the preset phone system, call records are generated, the recorded contents have different languages or dialects, text extraction is carried out on the call records based on the preset translation program of the phone system, character recognition is carried out on the call records, the recording text is determined, the call time of the call records is obtained, and the translation contents are determined according to the call time and the recording text, wherein the call time comprises the starting time and the ending time of the call.

The beneficial effects of the above technical scheme are:

the technical characteristics are that the text is mainly identified and extracted through a translation program, and a text record is established, so that a client can more conveniently capture main information from the text record, and the trouble of insufficient communication is reduced.

Example 3:

as shown in fig. 3, the technical solution provides an embodiment, where the step of importing the determined recording text into a translation program preset in a phone system, extracting and recording a text of the call record, and generating text translation contents further includes the following steps:

step A1: importing the determined recording text into a preset translation program in a telephone system, extracting and recording the text of the call record, and determining initial translation content;

step A2: acquiring a target node based on a preset block chain platform;

step A3: determining the corresponding relation between the mark information and the initial translation content, importing the sound recording text into a target node according to the corresponding relation, and determining a storage node;

step A3: encrypting the storage node, and determining an encryption key and an authentication password;

step A4: and transmitting the encryption key and the verification password to a preset intelligent terminal, and determining text translation contents according to the encryption key and the recording text.

The working principle and the beneficial effects of the technical scheme are as follows:

according to the technical scheme, the call time of the call record is obtained, translation contents are determined according to the call time and the recording text, and each call needs to be classified and recorded, so that the call time of the call record is obtained to facilitate searching, the mark information of the recording file is generated by obtaining the call time of the call record, the target node is obtained based on a preset block chain platform, the content of a client can be kept secret due to an automatic matching key mechanism arranged in a block chain, the corresponding relation between the mark information and the recording text is obtained, the recording text and the mark information are stored to the corresponding target node according to the corresponding relation, the storage node is determined, the storage node is encrypted, and an encryption key and a verification password are determined; and transmitting the encryption key and the verification password to a preset intelligent terminal, determining translation contents according to the encryption key and the recording text, establishing one-to-one corresponding storage contents and retrieval mark information through the relationship between nodes, and generating a retrieval tree form, so that a user can conveniently trace and search the conversation contents and the recording text.

Example 4:

the technical solution provides an embodiment, where the obtaining of the target node based on the preset block chain platform further includes:

step 1: and (3) performing risk estimation on the target node to obtain an estimated risk result:

D_a,b,c∈U＝(L_a,M_b,H_c)

wherein D represents the estimated risk result, a represents the target node set of the low risk result, b represents the target node set of the medium risk result, c represents the target node set of the high risk result, U represents the set of all target nodes, D_a,b,c∈UThe predicted risk results representing the set of all target nodes, L generationLow estimated risk value set, L, of table estimated risk results_aRepresenting a low estimated risk value set of a target node set a, M representing an intermediate estimated risk value set of the target node, M_bRepresenting the intermediate estimated risk value set of the target node set b, H representing the high estimated risk value set of the target node, H_cRepresenting a high estimated risk value set of the target node set c;

step 2: acquiring a relation matrix of the estimated risk through an estimated risk result;

wherein R is a relationship matrix for the predicted risk results for low, medium and high risk, E_ijFor a preset desired matrix of i rows and j columns,L_ijrepresenting an i-row j-column matrix, M, generated by a set of lowest predicted risk values_ijRepresenting the i row and j column relationship matrix, H, generated by intermediate predictive risk value sets_ijRepresenting an i row and j column relation matrix generated by the highest estimated risk value; i is the total row number of the collected matrix, and j is the total column number of the collected matrix;

and step 3: normalizing and normalizing the relation matrix, and calculating the weight value of the target node:

wherein, W_xWeight value vector, R, representing the x-th row matrix_xyA relationship matrix representing the x-th row and the y-th column, wherein x is 1,2, … i, and y is 1,2, … j;

and 4, step 4: and determining a weight matrix according to the weight value, and evaluating the target node according to the matrix in the region.

The working principle and the beneficial effects of the technical scheme are as follows:

since the nodes in the block chain platform are public, risks and hidden dangers exist, before the nodes are obtained, risk prediction needs to be carried out on each node, prediction risk results of the whole set U are obtained and are divided into low risks, middle risks and high risks, a relation matrix R of prediction risks is calculated according to middle risks and high risks, expected values are obtained through evaluation of middle attitudes, the relation matrix is obtained, normalization is carried out on the relation matrix, and an evaluation matrix is determinedAnd then, normalizing the evaluation matrix, calculating the weight value of the target node, determining the weight matrix according to the weight value vector, and evaluating the target node according to the matrix in the area.

Example 5:

this technical solution provides an embodiment, and step 4 further includes:

step 401: determining a weight matrix according to the weight value vector:

W＝(W₁,W₂,…,W_x,…,W_i)^T

wherein W represents a weight matrix, W_xWeight value vector, W, representing a matrix of x rows₁Weight value vector, W, representing the 1 st line matrix₂Weight value vector, W, representing the 2 nd row matrix_iRepresenting a weight value vector of the ith matrix, wherein x is 1,2, … i, and i is the total row number of the collected matrixes;

step 402: calculating a risk rating result set of the storage events according to the weight matrix:

S＝Q(U*W)

s represents a risk rating result set, Q represents a preset evaluation index evaluation method, and U represents a set of all target nodes;

step 403: filtering the risk rating results which are larger than a preset risk threshold value in the risk rating results, reselecting nodes nearby, and determining nearby nodes;

step 404: and evaluating the indexes of the nearby nodes again, and updating the historical target nodes.

The working principle and the beneficial effects of the technical scheme are as follows:

according to the technical scheme, a weight matrix W is determined according to the weight vector, and step 402: and calculating a risk rating result set S of the storage event according to the weight matrix, filtering the risk rating results which are larger than a preset risk threshold value in the risk rating results, reselecting nodes nearby, determining nearby nodes, performing index evaluation on the nearby nodes again, updating historical target nodes, abandoning the nodes when the risk of the target nodes is too high, and reselecting the nodes nearby, so that potential safety hazards are reduced, the safety of the target nodes is improved, and the customer experience of a user is improved.

Example 6:

the technical solution provides an embodiment, where determining an identification bookmark of a sound recording file according to the text translation content, and storing the text translation content with the identification bookmark as index information includes:

acquiring call information of the translated content, and determining position identification information according to the call information; wherein the content of the first and second substances,

the position identification information at least comprises a client home location and a local position of a telephone system of an operator signal tower;

generating an identification bookmark according to the position identification information and the call time; wherein the content of the first and second substances,

establishing a bookmark index according to the identification bookmark;

converting the transfer content into a preset text format, and determining text content;

and storing the text content into a preset storage system through the bookmark index, and determining text translation content.

The working principle and the beneficial effects of the technical scheme are as follows:

the technical scheme includes that a mark bookmark of a recording file is obtained, the translated content is stored into a preset storage system according to the mark bookmark and a preset text format, the translated content of a text is determined, and the mark bookmark is generated by obtaining position information and call time of the recording file; wherein the location identification information at least comprises a customer home location and a local location of the operator beacon telephone system; establishing a bookmark index according to the identification bookmark; converting the transfer content into a preset text format, and determining text content; and storing the text content into a preset storage system through the bookmark index, and determining text translation content.

Example 7:

the technical solution provides an embodiment, the sending a text transmission request to a preset AI robot and determining an identification bookmark corresponding to the text transmission request includes:

based on a preset AI robot, acquiring and receiving a text transmission request sent by a user, and determining a response request;

sending the response request to the intelligent terminal and receiving verification information;

matching the position information of the text translation content with the target position of the user through the verification information, and determining a matching result;

and identifying whether the matching result is successfully matched or not based on a preset AI robot, and determining the identification bookmark corresponding to the text transmission request when the matching result is successfully matched.

The working principle and the beneficial effects of the technical scheme are as follows:

the technical solution provides an embodiment, where the obtaining of the target location of the user, the transmitting of the storage content to the target location, the identifying of the storage content by a preset AI robot, and the determining of the identification result include: acquiring position information of a sound recording file and a target position of a user; determining a matching result by verifying the password and matching the position information with the target position; transmitting the stored content to a target location; judging whether the matching result is successfully matched or not based on a preset AI robot, and generating a judgment result; when the judgment result is that the matching fails, generating an abnormal result, and transmitting the abnormal result to the phone system and the intelligent terminal; and when the judgment result is that the matching is successful, identifying the stored content based on a preset AI robot, and determining an identification result.

Example 8:

the technical solution provides an embodiment, where the identifying whether the matching result is successfully matched based on a preset AI robot further includes:

and when the matching result is matching failure, generating an abnormal result, and transmitting the abnormal result to the phone system and the intelligent terminal.

The working principle and the beneficial effects of the technical scheme are as follows:

according to the technical scheme, whether the matching result is successfully matched or not is recognized based on the preset AI robot, the abnormal result is generated when the judgment result is that the matching is failed, the abnormal result is transmitted to the phone system and the intelligent terminal, the user experience is improved through the prompt of the abnormal result, and the problem of timely tracing the abnormal result is also facilitated.

Example 9:

the technical scheme provides an embodiment, wherein the step of transmitting the abnormal result to a phone system and an intelligent terminal further comprises the following steps:

step S1: acquiring an abnormal result, counting abnormal times, and recording the abnormal rate according to the abnormal times;

step S2: according to the abnormal data, tracing the storage nodes in the block chain platform, and determining abnormal nodes;

step S3: decoding the abnormal node to determine a decoded file;

step S4: based on a preset repair mechanism, repairing the decoding file to determine a repair sound recording file;

step S5: and re-encrypting the repaired sound recording file, determining an encrypted file, re-storing the encrypted file to a phone system, and updating historical storage data.

The working principle and the beneficial effects of the technical scheme are as follows:

the technical scheme provides an implementationFor example, by obtaining abnormal data error, counting abnormal times z, and recording abnormal rate according to the abnormal times zWherein Z represents the total times of the acquired abnormal data and normal data; according to the abnormal data, tracing the storage nodes in the block chain platform, and determining abnormal nodes; in the tracing process, the transmission error reasons of abnormal data, such as transmission interruption, transmission end errors and the like, can be found, and when the abnormal nodes are traced, whether the abnormal nodes have problems or not can be found, the abnormal nodes are decoded, a decoded file is determined, and the abnormal recording text file is read; based on a preset restoration mechanism, restoring the decoded file and determining a restored audio file; and re-encrypting the repaired sound recording file, determining the encrypted file, re-storing the encrypted file to a phone system, and updating historical storage data.

Example 10:

the technical solution provides an embodiment, the tracing back a corresponding identification bookmark according to the transmission information, and sending a corresponding text translation content to a user intelligent terminal includes:

tracing the corresponding identification bookmark according to the transmission information;

acquiring target text translation content according to the identification bookmark, and acquiring a corresponding target identification bookmark through the target text translation content;

acquiring a bookmark index, retrieving the bookmark index through the target tag bookmark, and determining a retrieval result;

when the retrieval result is that the retrieval is successful, acquiring an index number, and sending corresponding text translation content to the user intelligent terminal according to the index number;

and when the retrieval result is a retrieval failure, sending the failure retrieval result to the user intelligent terminal.

The working principle and the beneficial effects of the technical scheme are as follows:

according to the technical scheme, identification bookmarks are retrieved according to identification results, corresponding text translation contents are sent to a user intelligent terminal according to the identification bookmarks, when a user needs to use a history communication file of the user, the user needs to retrieve through identification information, so that the user needs to obtain target text translation contents according to the identification results, obtain corresponding target identification bookmarks through the target text translation contents, automatically obtain bookmark indexes in a phone system, retrieve the bookmark indexes through the target label bookmarks, and determine retrieval results; when the retrieval result is that the retrieval is successful, acquiring an index number, and sending corresponding text translation content to the user intelligent terminal according to the index number; and when the retrieval result is a retrieval failure, sending the failure retrieval result to the intelligent terminal of the user, wherein the user may retrieve meaningless files or invalid files, so that the result of the retrieval failure needs to be fed back to the intelligent terminal of the user.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.