CN116205749A - Electronic policy information data management method, device, equipment and readable storage medium - Google Patents
Electronic policy information data management method, device, equipment and readable storage medium Download PDFInfo
- Publication number
- CN116205749A CN116205749A CN202310498626.9A CN202310498626A CN116205749A CN 116205749 A CN116205749 A CN 116205749A CN 202310498626 A CN202310498626 A CN 202310498626A CN 116205749 A CN116205749 A CN 116205749A
- Authority
- CN
- China
- Prior art keywords
- information
- policy
- electronic
- database
- audio
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000013523 data management Methods 0.000 title claims abstract description 41
- 238000000034 method Methods 0.000 title claims abstract description 38
- 238000007726 management method Methods 0.000 claims abstract description 19
- 238000007781 pre-processing Methods 0.000 claims abstract description 7
- 239000012634 fragment Substances 0.000 claims abstract description 6
- 238000012545 processing Methods 0.000 claims description 79
- 238000012795 verification Methods 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 7
- 239000013598 vector Substances 0.000 description 11
- 238000004891 communication Methods 0.000 description 8
- 208000012260 Accidental injury Diseases 0.000 description 5
- 230000008451 emotion Effects 0.000 description 5
- 208000014674 injury Diseases 0.000 description 5
- 230000005236 sound signal Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000001914 filtration Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 201000010099 disease Diseases 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000001228 spectrum Methods 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- KLDZYURQCUYZBL-UHFFFAOYSA-N 2-[3-[(2-hydroxyphenyl)methylideneamino]propyliminomethyl]phenol Chemical compound OC1=CC=CC=C1C=NCCCN=CC1=CC=CC=C1O KLDZYURQCUYZBL-UHFFFAOYSA-N 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013145 classification model Methods 0.000 description 1
- 201000001098 delayed sleep phase syndrome Diseases 0.000 description 1
- 208000033921 delayed sleep phase type circadian rhythm sleep disease Diseases 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/08—Insurance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/60—Information retrieval; Database structures therefor; File system structures therefor of audio data
- G06F16/65—Clustering; Classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/60—Information retrieval; Database structures therefor; File system structures therefor of audio data
- G06F16/68—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/683—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
- G06F16/685—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using automatically derived transcript of audio data, e.g. lyrics
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Multimedia (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Library & Information Science (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Development Economics (AREA)
- General Health & Medical Sciences (AREA)
- Economics (AREA)
- General Business, Economics & Management (AREA)
- Strategic Management (AREA)
- Marketing (AREA)
- Technology Law (AREA)
- Computational Linguistics (AREA)
- Human Computer Interaction (AREA)
- Acoustics & Sound (AREA)
- Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
Abstract
The invention relates to the technical field of electronic policy management, in particular to an electronic policy information data management method, device and equipment and a readable storage medium, wherein the method comprises the steps of obtaining audio information, wherein the audio information comprises audio fragments of an application service of an applicant and an insurance broker; converting the audio information into text information; respectively preprocessing the audio information and the text information to obtain preprocessed audio information and preprocessed text information; generating an electronic policy according to the preprocessed audio information and the preprocessed text information; the electronic insurance policy is classified to obtain a classified electronic insurance policy, and the classified electronic insurance policy is stored in the database for management.
Description
Technical Field
The present invention relates to the technical field of electronic policy management, and in particular, to a method, an apparatus, a device, and a readable storage medium for electronic policy information data management.
Background
Insurance policy is simply referred to as "policy". The method is characterized in that the insurance broker is written to sign an insurance contract with an applicant, the insurance policy is a main expression form of signing the insurance contract, after signing the insurance policy to the applicant, the insurance broker needs to be responsible for managing the insurance policy content of the applicant, as the service life of the insurance broker increases, the number of the applicant under the name of the insurance broker increases, the insurance broker needs to manage more insurance policies, so that the paper form insurance policy is difficult to meet the management efficiency of the insurance broker, error and leakage easily occur, and the processing efficiency is low, and therefore, the electronic insurance policy information data management method is needed to improve the management efficiency of the insurance broker.
Disclosure of Invention
An object of the present invention is to provide an electronic policy information data management method, apparatus, device and readable storage medium, to improve the above-mentioned problems.
In order to achieve the above purpose, the embodiment of the present application provides the following technical solutions:
in one aspect, an embodiment of the present application provides a method for managing electronic policy information data, where the method includes:
acquiring audio information, wherein the audio information comprises audio fragments of an insurance service communicated by an applicant and an insurance broker;
converting the audio information into text information;
respectively preprocessing the audio information and the text information to obtain preprocessed audio information and preprocessed text information;
generating an electronic policy according to the preprocessed audio information and the preprocessed text information;
classifying the electronic insurance policy to obtain a classified electronic insurance policy, and storing the classified electronic insurance policy into a database for management.
In a second aspect, an embodiment of the present application provides an electronic policy information data management apparatus, including:
the acquisition module is used for acquiring audio information, wherein the audio information comprises audio fragments of an insurance service which is exchanged between an applicant and an insurance broker;
the first processing module is used for converting the audio information into text information;
the second processing module is used for respectively preprocessing the audio information and the text information to obtain preprocessed audio information and preprocessed text information;
the third processing module is used for generating an electronic policy according to the preprocessed audio information and the preprocessed text information;
and the fourth processing module is used for classifying the electronic insurance policy, obtaining the classified electronic insurance policy, and storing the classified electronic insurance policy into a database for management.
In a third aspect, embodiments of the present application provide an electronic policy information data management device that includes a memory and a processor. The memory is used for storing a computer program; the processor is used for realizing the steps of the electronic policy information data management method when executing the computer program.
In a fourth aspect, embodiments of the present application provide a readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the electronic policy information data management method described above.
The beneficial effects of the invention are as follows:
the invention can realize the generation of the electronic insurance policy by exchanging the audio clips of the insurance business with the insurance broker, effectively solves the complex process of filling the paper insurance policy according to the client requirement in the prior art, effectively improves the management efficiency of the insurance broker by classifying and storing the electronic insurance policy, and avoids the problem of low management efficiency of the insurance broker caused by storing a large amount of paper insurance policy by the insurance broker.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the embodiments 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 claims thereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for managing electronic policy information data according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of an electronic policy information data management device according to an embodiment of the invention.
Fig. 3 is a schematic structural diagram of an electronic policy information data management device according to an embodiment of the present invention.
The drawing is marked: 901. an acquisition module; 902. a first processing module; 903. a second processing module; 904. a third processing module; 905. a fourth processing module; 9031. a first processing unit; 9032. a second processing unit; 9033. a third processing unit; 9041. 9042, fifth processing unit; 9043. a sixth processing unit; 9044. a seventh processing unit; 9051. a second acquisition unit; 9052. a tenth processing unit; 9053. an eleventh processing unit; 9054. a twelfth processing unit; 9055. a third acquisition unit; 9056. a thirteenth processing unit; 90441. a first acquisition unit; 90442. an eighth processing unit; 90443. a ninth processing unit; 800. an electronic policy information data management device; 801. a processor; 802. a memory; 803. a multimedia component; 804. an I/O interface; 805. a communication component.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.
The present embodiment provides a method for managing electronic policy information data, and it can be appreciated that a scenario may be laid in this embodiment, for example, a scenario in which an insurance broker needs to generate an electronic policy according to a phone recording with a client and manage the electronic policy.
Referring to fig. 1, the method includes a step S1, a step S2, a step S3, a step S4, and a step S5, where the method specifically includes:
step S1, acquiring audio information, wherein the audio information comprises audio fragments of an insurance service communicated by an applicant and an insurance broker;
it will be appreciated that the audio information is a telephonic recording of the applicant and the insurance broker, and that capturing characteristic data in the telephonic recording may provide a data basis for generating the electronic policy.
S2, converting the audio information into text information;
it can be understood that the voice recognition technology can be used to translate the audio information into text information, and the technical scheme of converting the audio information into the text information is not limited by the invention.
S3, respectively preprocessing the audio information and the text information to obtain preprocessed audio information and preprocessed text information;
it can be understood that the preprocessing is performed on the information of the two modes of the audio information and the text information respectively, so that the data redundancy can be greatly reduced, and meanwhile, the accuracy of generating the electronic policy based on the application requirements of the applicant is improved.
It can be understood that the step S3 further includes a step S31, a step S32, and a step S33, where specific details are:
s31, processing the audio information by utilizing a fast Fourier transform operation to obtain a spectrogram corresponding to the audio information;
it can be understood that the processing of the audio information by using the fft operation to obtain a spectrogram corresponding to the audio information is a technical scheme well known to those skilled in the art, and will not be described herein.
Step S32, filtering the spectrogram by using a Mel scale filter to obtain a filtered spectrogram, wherein the filtered spectrogram comprises frequency domain signals with reduced amplitude;
it can be appreciated that the specific process of filtering is:
in the above formula, m represents the number of groups of the filter, the value of m is 1-64, k represents the number of points,
the output value of the filter is represented, and the spectrogram with reduced amplitude can be obtained by filtering the spectrogram through the Mel scale filter, namely, the Mel spectrogram, wherein the Mel spectrogram comprises the spectrum envelope and the detail of the spectrogram as the characteristic information of the frequency spectrum, so that the frequency domain characteristic information is simplified, and the calculated amount of model processing data is reduced.
And step S33, carrying out data enhancement on the filtered spectrogram to obtain enhanced audio information.
It can be understood that the data enhancement of the filtered spectrogram is a technical scheme well known to those skilled in the art, and the technical scheme of the data enhancement of the filtered spectrogram is not limited.
S4, generating an electronic policy according to the preprocessed audio information and the preprocessed text information;
it may be understood that the step S4 further includes a step S41, a step S42, a step S43, and a step S44, where specific details are:
s41, carrying out semantic recognition on the preprocessed text information by using a natural language recognition model to obtain first key field information;
it can be understood that a template vector is preset, wherein the template vector is a feature vector corresponding to the insurance professional vocabulary text; segmenting the preprocessed text information to obtain segmented text information; vectorizing each piece of segmented text information to obtain at least one first feature vector; matching each first feature vector with the template vector, and calculating Euclidean distance between the two matched vectors to obtain a calculation result; and judging the calculated result and the preset threshold information, wherein if the calculated result is smaller than the preset threshold information, the text information is used as first key field information.
Step S42, the audio information after pretreatment is identified by utilizing the trained audio identification model, and second key field information is obtained;
it can be understood that the trained audio recognition model can effectively capture the voice emotion of the applicant, in this step, the preprocessed audio information is sent to the trained audio recognition model to recognize the emotion when the applicant speaks each field, and the applicant has emotion fluctuation when communicating with the insurance broker to apply for the requirement, so that the field with larger emotion fluctuation is used as the second key field information, the accuracy of electronic policy generation can be effectively improved, and it is noted that the audio recognition model can be a unidirectional LSTM neural network.
Step S43, obtaining third key field information according to the first key field information and the second key field information;
it can be understood that in this step, the first key field information extracted from the text mode and the second key field extracted from the voice mode are used together as the third key field, so that the third key field includes the features of the two modes, and the application requirements of the user are more comprehensively captured, so that the generation of the electronic policy is accurately realized based on the application requirements of the user.
And S44, generating an electronic policy according to the third key field information.
It can be understood that by extracting key fields of the applicant from the two modes as basic information for generating the electronic policy, the accuracy of generating the electronic policy is effectively improved, and the problem that the single text mode easily ignores the emotion of the applicant to cause the identification error of the application requirement of the applicant is avoided.
It can be understood that the step S44 further includes a step S441, a step S442, and a step S443, where specifically:
step S441, acquiring policy database information, wherein the policy database information comprises preset service options corresponding to key fields;
it is understood that the policy database is a preset application service database matching the application requirements of the applicant.
Step 442, searching corresponding preset service options in the policy database information according to the third key field information to obtain options to be generated;
it can be understood that in the automatic generation of the electronic policy, the third key field needs to be identified to match with the preset target service options in the policy database so as to automatically generate the target service options in the electronic policy, for example, some policy applicators have different requirements on the security content, the policy database includes personal accidental injury insurance, additional accidental injury medical insurance, additional accidental injury hospitality insurance and other risks, and if the policy requirement of the policy applicator is identified as personal accidental injury insurance according to the third key field, the personal accidental injury insurance can be obtained from the policy database as the option to be generated so as to cope with the application requirement of the client, and meanwhile, the quick generation of the electronic policy is ensured.
Step S443, matching the options to be generated with a preset electronic policy template to generate an electronic policy.
It can be understood that the preset electronic policy template comprises format information of electronic policies of different types of insurance, the format information is a table format of the electronic policies, the type of the electronic policies is judged according to options to be generated, and the corresponding electronic policy template is determined according to the type of the electronic policies; and generating a table corresponding to the options to be generated in the electronic policy to obtain the corresponding electronic policy, thereby effectively realizing the generation of the electronic policies of different insurance types.
And S5, classifying the electronic insurance policy to obtain a classified electronic insurance policy, and storing the classified electronic insurance policy into a database for management.
It can be understood that by classifying and managing the electronic insurance policy, the management efficiency of the insurance broker can be effectively improved, and the problem that the insurance broker in the prior art is low in management efficiency and easy to leak is solved.
It can be understood that the step S5 further includes a step S51, a step S52, a step S53, and a step S54, where specific details are:
step S51, identifying text information in the electronic policy, and acquiring the text information of the electronic policy;
it will be appreciated that text information in an electronic policy may be identified by OCR recognition to obtain electronic policy text information.
Step S52, determining key entity words in each sentence according to the electronic policy text information;
it will be appreciated that the key entity words are not limited in this step, and the key entity words are determined according to a specific application scenario, for example, when classifying the risk of disease, the target entity words may include age, disease name, and the like.
Step S53, calculating according to the key entity words in each sentence to obtain relevancy information, wherein the relevancy information is the relevancy of the sentence corresponding to the key entity word and the electronic policy target class;
it can be understood that the calculation formula of the association degree is:
in the above formula, n is the total number of key entity words included in any sentence in the electronic policy,
And C is the association value corresponding to each sentence in the electronic policy.
And S54, classifying the electronic policy according to the association degree information to obtain a classification result.
It can be understood that the feature vector is obtained by carrying out weighted summation on the relevance between the sentence vector corresponding to each sentence and the relevance between the sentence vector corresponding to each sentence in the electronic policy text information; the feature vector is sent to the trained classification model to obtain a classification result, so that classification management of the insurance broker on the electronic insurance policy is realized, and management efficiency of the insurance broker on the electronic insurance policy is improved.
It may be understood that step S5 further includes step S55 and step S56, where specific steps are:
step S55, acquiring a first database, a second database and access request information, wherein the first database comprises plaintext data of the classified electronic policy, and the second database comprises ciphertext data of the classified electronic policy;
and step S56, judging whether the authority of the database access party passes the authority verification according to the access request information, wherein if the authority verification passes, the first database is accessed, and if the authority verification does not pass, the key information of the database access party is acquired, and judging whether the database access party can access the second database according to the key information.
In the embodiment, when the authority of the insurance broker is used for accessing the database, the plaintext database can be accessed only according to the key data when the authority is not passed, and the security of the data can be effectively improved by encrypting the database, meanwhile, different databases are accessed according to different authorities, so that the flexibility of database management is effectively improved, the insurance broker is convenient for managing the electronic insurance policy of the applicant, and meanwhile, the information leakage of the applicant is avoided.
As shown in fig. 2, the present embodiment provides an apparatus for electronic policy information data management, where the apparatus includes an obtaining module 901, a first processing module 902, a second processing module 903, a third processing module 904, and a fourth processing module 905, and specifically includes:
an acquisition module 901, configured to acquire audio information, where the audio information includes an audio clip of an applicant and an insurance broker exchanging an insurance service;
a first processing module 902, configured to convert the audio information into text information;
the second processing module 903 is configured to respectively pre-process the audio information and the text information, so as to obtain pre-processed audio information and pre-processed text information;
a third processing module 904, configured to generate an electronic policy according to the preprocessed audio information and the preprocessed text information;
the fourth processing module 905 is configured to classify the electronic policy, obtain a classified electronic policy, and store the classified electronic policy in a database for management.
In a specific embodiment of the disclosure, the second processing module 903 further includes a first processing unit 9031, a second processing unit 9032, and a third processing unit 9033, where specific details are:
a first processing unit 9031, configured to process the audio information by using a fast fourier transform operation, to obtain a spectrogram corresponding to the audio information;
a second processing unit 9032, configured to filter the spectrogram with a mel-scale filter, to obtain a filtered spectrogram, where the filtered spectrogram includes a frequency domain signal with a reduced amplitude;
and a third processing unit 9033, configured to perform data enhancement on the filtered spectrogram, so as to obtain enhanced audio information.
In a specific embodiment of the disclosure, the third processing module 904 further includes a fourth processing unit 9041, a fifth processing unit 9042, a sixth processing unit 9043, and a seventh processing unit 9044, where specific details are:
a fourth processing unit 9041, configured to perform semantic recognition on the preprocessed text information by using a natural language recognition model, to obtain first key field information;
a fifth processing unit 9042, configured to identify the pre-processed audio information by using a trained audio identification model, to obtain second key field information;
a sixth processing unit 9043, configured to obtain third key field information according to the first key field information and the second key field information;
and a seventh processing unit 9044, configured to generate an electronic policy according to the third key field information.
In a specific embodiment of the disclosure, the seventh processing unit 9044 includes a first obtaining unit 90441, an eighth processing unit 90442, and a ninth processing unit 90443, where:
the first acquisition unit is used for acquiring the information of the policy database, wherein the information of the policy database comprises preset service options corresponding to key fields;
an eighth processing unit, configured to search corresponding preset service options in the policy database information according to the third key field information, to obtain options to be generated;
and the ninth processing unit is used for matching the options to be generated with a preset electronic policy template to generate an electronic policy.
In a specific embodiment of the disclosure, the fourth processing module 905 further includes a second obtaining unit 9051, a tenth processing unit 9052, an eleventh processing unit 9053, and a twelfth processing unit 9054, where specific details are:
a second obtaining unit 9051, configured to identify text information in the electronic policy, and obtain electronic policy text information;
a tenth processing unit 9052, configured to determine key entity words in each sentence according to the electronic policy text information;
an eleventh processing unit 9053, configured to calculate, according to the key entity words in each sentence, obtain relevance information, where the relevance information is a degree of relevance between a sentence corresponding to the key entity word and an electronic policy target class;
and a twelfth processing unit 9054, configured to classify the electronic policy according to the association degree information, to obtain a classification result.
In a specific embodiment of the disclosure, the fourth processing module 905 further includes a third obtaining unit 9055 and a thirteenth processing unit 9056, where specifically:
a third obtaining unit 9055, configured to obtain a first database, a second database, and access request information, where the first database includes plaintext data of the electronic policy after classification, and the second database includes ciphertext data of the electronic policy after classification;
and a thirteenth processing unit 9056, configured to determine whether the authority of the database access party passes the authority verification according to the access request information, wherein if the authority verification passes, the first database is accessed, and if the authority verification does not pass, the key information of the database access party is obtained, and whether the database access party can access the second database is determined according to the key information.
It should be noted that, regarding the apparatus in the above embodiments, the specific manner in which the respective modules perform the operations has been described in detail in the embodiments regarding the method, and will not be described in detail herein.
Corresponding to the above method embodiment, there is further provided an electronic policy information data management apparatus in this embodiment, and an electronic policy information data management apparatus described below and an electronic policy information data management method described above may be referred to correspondingly with each other.
Fig. 3 is a block diagram illustrating an apparatus 800 for electronic policy information data management according to an example embodiment. As shown in fig. 3, the electronic policy information data management apparatus 800 may include: a processor 801, a memory 802. The electronic policy information data management device 800 may also include one or more of a multimedia component 803, an I/O interface 804, and a communication component 805.
Wherein the processor 801 is configured to control the overall operation of the electronic policy information data management apparatus 800 to perform all or part of the steps of the method for electronic policy information data management described above. The memory 802 is used to store various types of data to support the operation of the device 800 in the electronic policy information data management, which may include, for example, instructions for any application or method operating on the device 800 in the electronic policy information data management, as well as application related data such as contact data, messages sent and received, pictures, audio, video, and so forth. The Memory 802 may be implemented by any type or combination of volatile or non-volatile Memory devices, such as static random access Memory (Static Random Access Memory, SRAM for short), electrically erasable programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM for short), erasable programmable Read-Only Memory (Erasable Programmable Read-Only Memory, EPROM for short), programmable Read-Only Memory (Programmable Read-Only Memory, PROM for short), read-Only Memory (ROM for short), magnetic Memory, flash Memory, magnetic disk, or optical disk. The multimedia component 803 may include a screen and an audio component. Wherein the screen may be, for example, a touch screen, the audio component being for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may be further stored in the memory 802 or transmitted through the communication component 805. The audio assembly further comprises at least one speaker for outputting audio signals. The I/O interface 804 provides an interface between the processor 801 and other interface modules, which may be a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 805 is configured to perform wired or wireless communication between the electronic policy information data managing device 800 and other devices. Wireless communication, such as Wi-Fi, bluetooth, near field communication (Near FieldCommunication, NFC for short), 2G, 3G or 4G, or a combination of one or more thereof, the respective communication component 805 may thus comprise: wi-Fi module, bluetooth module, NFC module.
In an exemplary embodiment, the electronic policy information data management device 800 may be implemented by one or more application specific integrated circuits (Application Specific Integrated Circuit, ASIC), digital signal processor (DigitalSignal Processor, DSP), digital signal processing device (Digital Signal Processing Device, DSPD), programmable logic device (Programmable Logic Device, PLD), field programmable gate array (Field Programmable Gate Array, FPGA), controller, microcontroller, microprocessor, or other electronic component for performing the above-described method of electronic policy information data management.
In another exemplary embodiment, a computer readable storage medium is also provided, comprising program instructions which, when executed by a processor, implement the steps of the method of electronic policy information data management described above. For example, the computer readable storage medium may be the memory 802 described above including program instructions executable by the processor 801 of the electronic policy information data management device 800 to perform the method of electronic policy information data management described above.
Corresponding to the above method embodiment, there is further provided a readable storage medium in this embodiment, and a readable storage medium described below and a method of managing electronic policy information data described above may be referred to correspondingly with each other.
A readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the method of electronic policy information data management of the above-described method embodiments.
The readable storage medium may be a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, and the like.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (10)
1. The electronic policy information data management method is characterized by comprising the following steps:
acquiring audio information, wherein the audio information comprises audio fragments of an insurance service communicated by an applicant and an insurance broker;
converting the audio information into text information;
respectively preprocessing the audio information and the text information to obtain preprocessed audio information and preprocessed text information;
generating an electronic policy according to the preprocessed audio information and the preprocessed text information;
classifying the electronic insurance policy to obtain a classified electronic insurance policy, and storing the classified electronic insurance policy into a database for management.
2. The electronic policy information data management method according to claim 1, wherein generating an electronic policy from the preprocessed audio information and the preprocessed text information comprises:
semantic recognition is carried out on the preprocessed text information by using a natural language recognition model, so that first key field information is obtained;
identifying the preprocessed audio information by using a trained audio identification model to obtain second key field information;
obtaining third key field information according to the first key field information and the second key field information;
and generating an electronic policy according to the third key field information.
3. The electronic policy information data management method according to claim 2, wherein generating an electronic policy based on the third key field information includes:
acquiring policy database information, wherein the policy database information comprises preset service options corresponding to key fields;
searching corresponding preset service options in the policy database information according to the third key field information to obtain options to be generated;
and matching the options to be generated with a preset electronic policy template to generate an electronic policy.
4. The electronic policy information data management method according to claim 1, wherein storing the classified electronic policy in a database for management comprises:
acquiring a first database, a second database and access request information, wherein the first database comprises plaintext data of the classified electronic policy, and the second database comprises ciphertext data of the classified electronic policy;
judging whether the authority of the database access party passes the authority verification according to the access request information, wherein if the authority verification is passed, the first database is accessed, and if the authority verification is not passed, the key information of the database access party is obtained, and whether the database access party can access the second database is judged according to the key information.
5. An electronic policy information data management apparatus, comprising:
the acquisition module is used for acquiring audio information, wherein the audio information comprises audio fragments of an insurance service which is exchanged between an applicant and an insurance broker;
the first processing module is used for converting the audio information into text information;
the second processing module is used for respectively preprocessing the audio information and the text information to obtain preprocessed audio information and preprocessed text information;
the third processing module is used for generating an electronic policy according to the preprocessed audio information and the preprocessed text information;
and the fourth processing module is used for classifying the electronic insurance policy, obtaining the classified electronic insurance policy, and storing the classified electronic insurance policy into a database for management.
6. The electronic policy information data management device according to claim 5, wherein the third processing module includes:
the fourth processing unit is used for carrying out semantic recognition on the preprocessed text information by utilizing a natural language recognition model to obtain first key field information;
the fifth processing unit is used for identifying the preprocessed audio information by utilizing the trained audio identification model to obtain second key field information;
a sixth processing unit, configured to obtain third key field information according to the first key field information and the second key field information;
and the seventh processing unit is used for generating an electronic policy according to the third key field information.
7. The electronic policy information data management device according to claim 6, wherein the seventh processing unit includes:
the first acquisition unit is used for acquiring the information of the policy database, wherein the information of the policy database comprises preset service options corresponding to key fields;
an eighth processing unit, configured to search corresponding preset service options in the policy database information according to the third key field information, to obtain options to be generated;
and the ninth processing unit is used for matching the options to be generated with a preset electronic policy template to generate an electronic policy.
8. The electronic policy information data management device according to claim 5, wherein the fourth processing module further comprises:
the third acquisition unit is used for acquiring a first database, a second database and access request information, wherein the first database comprises plaintext data of the classified electronic policy, and the second database comprises ciphertext data of the classified electronic policy;
and the thirteenth processing unit is used for judging whether the authority of the database access party passes the authority verification according to the access request information, wherein if the authority verification passes, the first database is accessed, and if the authority verification does not pass, the key information of the database access party is acquired, and whether the database access party can access the second database is judged according to the key information.
9. An electronic policy information data management apparatus, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the electronic policy information data management method according to any one of claims 1 to 4 when said computer program is executed.
10. A readable storage medium, characterized by: the readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the electronic policy information data management method according to any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310498626.9A CN116205749A (en) | 2023-05-06 | 2023-05-06 | Electronic policy information data management method, device, equipment and readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310498626.9A CN116205749A (en) | 2023-05-06 | 2023-05-06 | Electronic policy information data management method, device, equipment and readable storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116205749A true CN116205749A (en) | 2023-06-02 |
Family
ID=86511562
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310498626.9A Pending CN116205749A (en) | 2023-05-06 | 2023-05-06 | Electronic policy information data management method, device, equipment and readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116205749A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116664319A (en) * | 2023-08-01 | 2023-08-29 | 北京力码科技有限公司 | Financial policy classification system based on big data |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111243596A (en) * | 2020-01-08 | 2020-06-05 | 中保车服科技服务股份有限公司 | Insurance information acquisition method, device and equipment based on voice recognition and storage medium |
| CN115048677A (en) * | 2022-03-30 | 2022-09-13 | 中国人寿保险股份有限公司 | Policy information data management method and related equipment |
| CA3164550A1 (en) * | 2021-06-21 | 2022-12-21 | 10353744 Canada Ltd. | Image information processing method for use in q&a system, device and electronic equipment |
| CN115640420A (en) * | 2022-10-12 | 2023-01-24 | 广州广电运通信息科技有限公司 | ES-based audio information index database establishing and retrieving method, ES-based audio information index database establishing and retrieving equipment and ES-based audio information index database storing medium |
| CN115905612A (en) * | 2022-12-06 | 2023-04-04 | 上海喜马拉雅科技有限公司 | Audio work information extraction method and device, electronic equipment and storage medium |
-
2023
- 2023-05-06 CN CN202310498626.9A patent/CN116205749A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111243596A (en) * | 2020-01-08 | 2020-06-05 | 中保车服科技服务股份有限公司 | Insurance information acquisition method, device and equipment based on voice recognition and storage medium |
| CA3164550A1 (en) * | 2021-06-21 | 2022-12-21 | 10353744 Canada Ltd. | Image information processing method for use in q&a system, device and electronic equipment |
| CN115048677A (en) * | 2022-03-30 | 2022-09-13 | 中国人寿保险股份有限公司 | Policy information data management method and related equipment |
| CN115640420A (en) * | 2022-10-12 | 2023-01-24 | 广州广电运通信息科技有限公司 | ES-based audio information index database establishing and retrieving method, ES-based audio information index database establishing and retrieving equipment and ES-based audio information index database storing medium |
| CN115905612A (en) * | 2022-12-06 | 2023-04-04 | 上海喜马拉雅科技有限公司 | Audio work information extraction method and device, electronic equipment and storage medium |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116664319A (en) * | 2023-08-01 | 2023-08-29 | 北京力码科技有限公司 | Financial policy classification system based on big data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10157609B2 (en) | Local and remote aggregation of feedback data for speech recognition | |
| CN109473106B (en) | Voiceprint sample collection method, voiceprint sample collection device, voiceprint sample collection computer equipment and storage medium | |
| US9361891B1 (en) | Method for converting speech to text, performing natural language processing on the text output, extracting data values and matching to an electronic ticket form | |
| US8233751B2 (en) | Method and system for simplified recordkeeping including transcription and voting based verification | |
| JP2020503541A (en) | Voiceprint creation / registration method and device | |
| US20200184955A1 (en) | Image-based approaches to identifying the source of audio data | |
| CN110020009B (en) | Online question and answer method, device and system | |
| CN108305626A (en) | The sound control method and device of application program | |
| CN107229627B (en) | Text processing method and device and computing equipment | |
| CN109508458B (en) | Legal entity identification method and device | |
| US20170098192A1 (en) | Content aware contract importation | |
| AU2011200384A1 (en) | Method and System for Accounting for Positional Variability of Biometric Features | |
| US9292579B2 (en) | Method and system for document data extraction template management | |
| CN115427958A (en) | Speech recognition and content de-recognition | |
| CN111831911A (en) | Query information processing method and device, storage medium and electronic device | |
| CN110377762A (en) | Information query method, device and computer equipment based on electronics folder | |
| CN109947971B (en) | Image retrieval method, image retrieval device, electronic equipment and storage medium | |
| WO2021159902A1 (en) | Age recognition method, apparatus and device, and computer-readable storage medium | |
| CN116205749A (en) | Electronic policy information data management method, device, equipment and readable storage medium | |
| CN110705235A (en) | Information input method and device for business handling, storage medium and electronic equipment | |
| KR20150041592A (en) | Method for updating contact information in callee electronic device, and the electronic device | |
| CN114998484A (en) | Audio and video generation method and device, computer equipment and storage medium | |
| CN109582825A (en) | Method and apparatus for generating information | |
| CN109637529A (en) | Voice-based functional localization method, apparatus, computer equipment and storage medium | |
| US11934556B2 (en) | Identifying sensitive content in electronic files |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |