WO2019136855A1

WO2019136855A1 - Method and apparatus for implementing multidimensional analysis on insurance policy, terminal device, and storage medium

Info

Publication number: WO2019136855A1
Application number: PCT/CN2018/081531
Authority: WO
Inventors: 张俊武; 徐诗; 孙硕
Original assignee: 平安科技（深圳）有限公司
Priority date: 2018-01-12
Filing date: 2018-04-02
Publication date: 2019-07-18
Also published as: CN108198083A

Abstract

Disclosed are a method and apparatus for implementing multidimensional analysis on an insurance policy, a terminal device, and a storage medium. The method for implementing multidimensional analysis on an insurance policy comprises: obtaining insurance policy query information; performing matching analysis on the insurance policy query information using a preset insurance policy dimension word library to obtain at least one insurance policy dimension; obtaining at least one target insurance policy according to the at least one insurance policy dimension; and performing multidimensional analysis according to the at least one target insurance policy to obtain a multidimensional analysis result. The method for implementing multidimensional analysis on an insurance policy can implement, when performing analysis on an insurance policy on the basis of a plurality of insurance policy dimensions, the function of performing comprehensive and diverse analysis on the insurance policy.

Description

Policy multi-dimensional analysis implementation method, device, terminal device and storage medium

This patent application is based on the Chinese Patent Application No. 201810031163.4 filed on January 12, 2018, entitled "Policy Multi-Dimensional Analysis Implementation Method, Apparatus, Terminal Equipment and Storage Medium", and requires priority.

Technical field

The present application relates to the field of insurance applications, and in particular, to a policy multi-dimensional analysis implementation method, device, terminal device and storage medium.

Background technique

At present, when conducting policy analysis, it is often only possible to implement a single dimension analysis of the policy, and it is not possible to achieve correlation analysis between policies. For example, in real life, the policy information of each policy can be inquired and obtained through the policy number, and the single-dimensional analysis of the obtained policy information can not achieve a comprehensive analysis of the policy, such as the analysis of the association between policies. This way of obtaining policy information using policy numbers and performing single-dimensional analysis makes the policy analysis process too isolated and single, resulting in greater limitations in policy analysis.

Summary of the invention

The embodiment of the present application provides a policy multi-dimensional analysis implementation method, device, terminal device and storage medium to solve the problem that the current policy analysis process is too single.

In a first aspect, an embodiment of the present application provides a method for implementing multi-dimensional analysis of a policy, including:

Obtain policy inquiry information;

Performing matching analysis on the policy query information by using a preset policy dimension vocabulary to obtain at least one of the policy dimensions;

Obtaining at least one target policy according to at least one of the policy dimensions;

Performing multi-dimensional analysis according to at least one of the target policies to obtain multi-dimensional analysis results.

In a second aspect, the embodiment of the present application provides a policy multi-dimensional analysis implementation device, including:

a policy query information obtaining module, configured to obtain policy query information;

a policy dimension acquisition unit module, configured to perform matching analysis on the policy query information by using a preset policy dimension vocabulary to obtain at least one policy dimension;

a target policy acquisition module, configured to acquire at least one target policy according to at least one of the policy dimensions;

The multi-dimensional analysis result obtaining unit is configured to perform multi-dimensional analysis according to at least one of the target policies to obtain multi-dimensional analysis results.

In a third aspect, an embodiment of the present application provides a terminal device, including a memory, a processor, and computer readable instructions stored in the memory and executable on the processor, where the processor executes the computer The following steps are implemented when reading the instruction:

Obtain policy inquiry information;

In a fourth aspect, the embodiment of the present application provides one or more non-volatile readable storage media storing computer readable instructions, when the computer readable instructions are executed by one or more processors, such that the one or Multiple processors perform the following steps:

Obtain policy inquiry information;

In the method, the device, the terminal device and the storage medium for implementing the policy multi-dimensional analysis provided by the embodiment of the present application, the policy query information is first obtained, and then the policy query information is matched and analyzed by using the preset policy dimension vocabulary to obtain at least one policy. Dimensions, through matching analysis of policy query information, can accurately obtain the corresponding policy dimension in the policy dimension vocabulary from the policy query information, and achieve the purpose of extracting the policy dimension in the policy query information. Then, according to at least one policy dimension, at least one target policy is obtained, and the corresponding target policy can be obtained efficiently and quickly according to the policy dimension. Finally, multi-dimensional analysis is performed according to at least one target policy, and multi-dimensional analysis results are obtained. Based on the target policy, multi-dimensional analysis is performed according to requirements, which can satisfy the function of analyzing the target policy from multiple dimensions, and achieve comprehensive and diversified target policies. The purpose of the analysis is to quickly and efficiently obtain the target policy analysis results based on multiple dimensions.

DRAWINGS

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the description of the embodiments of the present application will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the present application. Other drawings may also be obtained from those of ordinary skill in the art based on these drawings without the inventive labor.

1 is a flowchart of a method for implementing multi-dimensional analysis of a policy in Embodiment 1 of the present application;

Figure 2 is a specific flow chart before step S10 in Figure 1;

Figure 3 is a specific flow chart of step S20 of Figure 1;

Figure 4 is a specific flow chart of step S30 of Figure 1;

5 is a schematic block diagram of a multi-dimensional analysis implementation device for a policy in Embodiment 2 of the present application;

FIG. 6 is a schematic diagram of a terminal device in Embodiment 4 of the present application.

Detailed ways

The technical solutions in the embodiments of the present application are clearly and completely described in the following with reference to the drawings in the embodiments of the present application. It is obvious that the described embodiments are a part of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present application without departing from the inventive scope are the scope of the present application.

Example 1

FIG. 1 is a flow chart showing a method for implementing policy multi-dimensional analysis in the embodiment. The policy multi-dimensional analysis implementation method can be applied to a terminal device configured by an insurance institution for implementing multi-dimensional analysis of a policy, and can be specifically applied to a policy multi-dimensional analysis system installed on a terminal device. The policy multi-dimensional analysis system refers to a system for multi-dimensional analysis of policies. The terminal device is a device that can perform human-computer interaction with the user, including but not limited to devices such as a computer, a smart phone, and a tablet. As shown in FIG. 1, the policy multi-dimensional analysis implementation method includes the following steps:

S10: Obtain policy inquiry information.

The policy query information refers to the information related to the policy for querying the policy.

In this embodiment, the policy query information may be string information composed of arbitrary characters input by the user in the policy multi-dimensional analysis system. The policy query information may include a policy dimension such as a region dimension, a time dimension, a policy type dimension, a policy transaction dimension, and a user dimension, and also supports a fuzzy query. Fuzzy query identifiers include, but are not limited to, identifiers such as "%" and "_", which represent the implementation of fuzzy queries. Where "%" represents one or more characters that are undefined but actually exist (ie, fuzzy queries). Correspondingly, "_" represents a character that is indeterminate but actually exists.

For example, the policy inquiry information may specifically be “Beijing Chaoyang District September Heavy Diseases Claims Chen%”, wherein “Beijing Chaoyang District” represents the policy dimension on the region, and “September” represents the policy dimension on time, “ Critical illness insurance represents the policy dimension on the policy type, “claims” represents the policy dimension on the policy transaction, “Chen%” represents the policy dimension on the policy owner, and “%” represents a fuzzy query implementation of the policy dimension. In the way, for example, in the user dimension to which the policy belongs, Chen% can represent all users whose surnames are Chen. For another example, in the policy inquiry information including "Chen_Ming", "Chen_Ming" indicates that the last name is "Chen", the third word of the user name is "Ming", and the user name is a user composed of three characters.

It should be noted that the meaning of characters and bytes is different. For example, one word in Chinese and one letter in English are called characters, but one Chinese character occupies two bytes (16 bits), and one English letter occupies one byte (8 bits). . The fuzzy query method can express the policy query information more flexibly, so that the policy query information can be closer to the information of the policy that the user wants to obtain. The policy query information is obtained through the policy multi-dimensional analysis system, which provides a basis for the multi-dimensional query policy, and is beneficial for subsequent analysis based on the policy query information.

In a specific embodiment, as shown in FIG. 2, before the step S10, that is, before obtaining the policy query information, the policy multi-dimensional analysis implementation method further includes creating a policy dimension vocabulary, and the created policy dimension vocabulary specifically includes the following step:

S11: Obtain policy data of all policies from the database storing the policy.

Among them, policy data refers to all data information contained in the policy. In this embodiment, the policy data of all the policies stored in the database can be obtained by traversing the policy data recorded in all the policies. Understandably, the policy data is large. In the process of obtaining policy data of all policies, only the same data in the same policy is extracted as the policy data of the policy to avoid data redundancy, thereby ensuring any policy finally acquired. The policy data is the part of the data that is different from each other.

S12: Perform word segmentation on policy data of all policies to obtain at least one index dimension word, and each index dimension word corresponds to a policy dimension.

Among them, the word segmentation processing on the policy data refers to the process of obtaining the index dimension word through the policy data. The index dimension word in this embodiment is an index. It can be understood that the index is specifically represented by a word representing the policy dimension (ie, an index dimension word). Each index dimension word corresponds to a policy dimension, and multiple different index dimension words can simultaneously correspond to one policy dimension. For example, Beijing, Shenzhen, and Shanghai are respectively an index dimension word, and each index dimension word corresponds to the policy region dimension. .

In this embodiment, the index dimension word is obtained by a word segmentation tool (such as IKAnalyzer or MMAnalyzer). Among them, IKAnalyzer is an open source, lightweight Chinese word segmentation toolkit based on Java language development. It is a Chinese word segmentation toolkit based on the most iterative segmentation algorithm for forward iteration. MMAnalyzer is a word segmentation toolkit that supports Chinese, numeric and Chinese mixed word segmentation based on the forward maximum matching algorithm.

Specifically, the vocabulary in the word segmentation tool (such as IKAnalyzer or MMAnalyzer) can be matched with the policy data. If there is a vocabulary in the policy data that is the same as the vocabulary that has been included, the vocabulary of the part of the policy data is extracted according to the policy dimension. The actual situation removes the vocabulary unrelated to the policy dimension, and obtains the first pre-selected index dimension word; then uses the word segmentation tool to filter the irrelevant data in the policy data and the index dimension word, such as punctuation, escaped field ( Such as, but, and pronouns (such as this, those) and other independent data to establish index dimension words; then the filtered policy data to create and add index dimension words according to the actual situation of the policy dimension, obtain the second pre-selected index Dimension word; finally integrates (adds) the first pre-selected index dimension word and the second pre-selected index dimension word to obtain the final index dimension word related to the policy dimension. Based on the actual policy dimension, the index dimension word is obtained through word segmentation processing, and the purpose of extracting the index dimension word related to the policy dimension in the policy data is achieved.

S13: Building an index dimension table based on at least one index dimension word, and creating a policy dimension term library; wherein the index dimension table includes a storage address of the policy corresponding to the index dimension word and the index dimension word.

The index dimension table is a table for indicating a correspondence between an index dimension word and a storage address of the policy, the index dimension table includes a plurality of index items, and each index item is matched by the index dimension word and the index dimension word. The policy's storage address consists of. It can be understood that, when the index dimension table is established, an index entry is created according to the index dimension word and the storage address of the corresponding policy, and a complete index table is formed by all index entries. The policy dimension lexicon refers to an index file related to the policy dimension. The policy dimension vocabulary (index file) includes a main file and an index dimension table, wherein the main file refers to data stored by the vocabulary itself (the index of the physical data layer storage) The dimension word and the storage address of the policy), and the index dimension table is a table describing the correspondence between the data, and stores the correspondence between the index dimension word and the storage address of the policy (the index dimension table belongs to the logical data layer, the description Is the logical relationship between data).

For example, “Beijing Chaoyang District”, “September”, “Heavy Danger Insurance”, “Compensation” and “Chen%” in “Beijing Chaoyang District September Critical Diseases Claims” are in the index dimension table. Index, which is specifically represented by an index dimension word. Each index dimension word is associated with the storage address of its corresponding policy, such as "Beijing Chaoyang District" is associated with the storage address of all policies including "Beijing Chaoyang District", "heavy illness insurance" and including "heavy illness" The storage address of all the policies of the insurance is related. If the two index dimension words “Beijing Chaoyang District” and “Heavy Dangerous Insurance” appear at the same time, the intersection of the two index dimension words corresponding to the storage address of the policy is taken, ie The storage address of the policy corresponding to the two index dimension words “Beijing Chaoyang District” and “Heavy Dangerous Insurance” is a policy that includes two index dimension words “Beijing Chaoyang District” and “Heavy Danger Insurance”. It can be understood that when the index dimension word represents more and more specific dimensions, the corresponding storage address of the corresponding policy will be less, and the result of index index word retrieval will be more accurate.

In this embodiment, the policy dimension lexicon can be established by Lucene. Among them, Lucene is an open source full-text search engine toolkit that provides a complete query engine and indexing engine; Lucene is an open source library for full-text search and search, which provides a simple but powerful application interface. , able to do full-text indexing and searching. The index relationship dimension table is formed by using Lucene to establish a correspondence between the index dimension words and the storage addresses of the corresponding policies. The index dimension table forms a policy dimension vocabulary with the master file that stores the index dimension words and the storage address of the policy at the physical data layer. The index dimension table in the policy dimension lexicon can be understood as a directory of the lexicon, which records the correspondence between the dimension index words and the storage address of the policy. The master file can be understood as the physical data actually contained in the vocabulary, and stores all the Policy related data.

S20: Perform matching analysis on the policy query information by using a preset policy dimension vocabulary to obtain at least one policy dimension.

In this embodiment, the policy query information is pre-created to perform matching analysis on the policy query information. The policy query information may be string information composed of arbitrary characters input by the user in the policy multi-dimensional analysis system. The policy query information includes at least one index dimension word, and the policy query information is matched with the policy dimension lexicon to determine an index dimension word in the policy query information, and the corresponding at least one policy dimension can be obtained according to the determined index dimension word. For example, if the policy query information is “Beijing Chaoyang District September Heavy Danger Insurance Claims Percent”, by matching with the policy dimension, it can be determined that the index dimension words are “Beijing Chaoyang District”, “September”, and “Heavy Diseases”. Insurance, "claims" and "Chen%". Among them, “Beijing Chaoyang District” represents the policy dimension on the region, “September” represents the policy dimension on time, “Heavy Danger Insurance” represents the policy dimension on the policy type, and “Compensation” represents the policy dimension on the policy transaction. “Chen%” represents the policy dimension on the user to which the policy belongs. In particular, if the policy query information does not contain an index dimension word, the policy multi-dimensional analysis system will display the prompt “No search results, please re-enter!”.

In this embodiment, by matching the policy query information with the policy dimension lexicon, the purpose of obtaining the policy dimension included in the policy query information according to the policy query information is achieved.

In a specific implementation, in step S20, as shown in FIG. 3, a matching policy dimension vocabulary is used to perform matching analysis on the policy query information, and at least one policy dimension is obtained, which specifically includes the following steps:

S21: Matching the policy query information from the index dimension words in the policy dimension lexicon from left to right, and setting the index dimension word with the first matching success as the first matching word.

In this embodiment, the policy query information is scanned from left to right, the policy query information is matched with the index dimension word in the policy dimension lexicon, and the index dimension word with the first matching success is used as the first matching word. Specifically, when the policy inquiry information is “Beijing Chaoyang District September Critical Disease Claims Chen%”, “Beijing”, “Beijing” and “Beijing Chaoyang District” are all in the regional dimension of the policy dimension lexicon. Index dimension word. Scanning and matching the policy query information of “Beijing Chaoyang District September Critical Disease Claims Chen%”, matching the policy query information and the policy dimension lexicon from left to right, the first scan is “North” and “North” It is not an index dimension word, but it is a prefix of index dimension words such as “Beijing”, “Beijing” and “Beijing Chaoyang District”, so you need to continue to scan right. Then I scanned the "Beijing" and added the North from the previous scan to form the word "Beijing." Since "Beijing" is an index dimension word, the first match is completed when scanning to Beijing, and "Beijing" is set as the first match word. It should be noted that some index dimension words such as "Beijing" and "Beijing" have the same meaning, but they still need to be distinguished when matching, and match from left to right according to the matching rule.

S22: Determine whether there is an index dimension word in the policy dimension lexicon that includes the first matching word as a prefix.

In this embodiment, if the first matching word is “Beijing”, since the index dimension word containing the first matching word “Beijing” may be present in the policy dimension lexicon, it is not determined whether the first matching word “Beijing” is Finally, the index dimension word on the regional dimension needs to determine whether there is an index dimension word containing the first matching word as a prefix in the policy dimension lexicon to determine whether the matching word is also prefixed, and longer. , a smaller range of index dimension words.

S23: If there is an index dimension word containing the first matching word as a prefix in the policy dimension lexicon, continue to match the policy query information from the left and right to the index dimension word in the policy dimension lexicon, if the matching is successful, Updating the index dimension word including the first matching word as a prefix to the first matching word, and repeatedly performing the step of determining whether the index dimension word containing the first matching word exists in the policy dimension lexicon.

In this embodiment, if the first matching word is “Beijing”, since “Beijing” is a prefix of a partial index dimension word in a policy dimension lexicon such as “Beijing”, “Beijing Chaoyang District” and “Beijing Chaoyang District”, Then continue to match the policy query information from the left and right to the index dimension words in the policy dimension lexicon. If the policy inquiry information is “Beijing Chaoyang District September Heavy Diseases Claims Chen%”, the next matching index dimension word is “Beijing”. At this time, the obtained new index dimension word is “Beijing Municipality”. Since “Beijing Municipality” may be the prefix of partial index words in the policy dimension lexicon, update “Beijing Municipality” as the first matching word, and repeat step S22. Judgment process. If the answer of the step S22 is YES, the process continues, and at this time, the "Beijing City" will be matched on the basis of the original "Beijing City". The "Beijing Chao" is updated to the first matching word and the step of determining the index dimension word containing the first matching word as a prefix in the policy dimension lexicon is repeated in step S22. By analogy, in the multiple determination step of step S22, in the process of the determination result being YES and repeating this step, the matching analysis will be matched to "Beijing Chaoyang" and "Beijing Chaoyang District". Until the judgment of step S22 is NO, that is, "Beijing Chaoyang District" is not the prefix of any index dimension word in the policy dimension lexicon (here, the area is assumed to be the minimum unit), this step is not executed, and the judgment in step S22 is performed instead. The next step when it is no (ie, step S24).

S24: If there is no index dimension word including the first matching word as a prefix in the policy dimension lexicon, the first matching word is regarded as a matched policy dimension.

In this embodiment, if there is no index dimension word including the first matching word as a prefix in the policy dimension lexicon, if the first matching word is updated to “Beijing Chaoyang District”, the policy cannot be found in the policy dimension lexicon. When "Beijing Chaoyang District" is used as the prefix index dimension word, the first matching word can be considered as the smallest index dimension word. At this time, the first matching word is used as a matching policy dimension, that is, "Beijing City Chaoyang District as a policy dimension that has been matched.

S25: Excluding the matched policy dimension in the policy query information, updating the policy query information, and repeatedly performing the left-to-right matching of the policy query information with the index dimension words in the policy dimension lexicon, and setting the index dimension words successfully matched for the first time. As a first matching word, determining whether there is an index dimension word containing the first matching word in the policy dimension lexicon; and obtaining at least one policy dimension until all policy dimensions in the policy query information are matched.

The “acquiring at least one policy dimension until all the policy dimensions in the policy-completed query information” in step S25 means that after each policy query information is updated, it is determined whether the updated policy query information is empty, if the policy is If the query information is not empty (that is, there is content), then S21 is executed. If the policy query information is empty (that is, after the policy dimension has been matched in the policy query information, there is no content), the matching process is ended.

In this embodiment, if the policy inquiry information is “Beijing Chaoyang District September heavy illness insurance claims Chen%”. After matching the first policy dimension "Beijing Chaoyang District", the policy dimension is removed and the policy query information is updated. The updated policy inquiry information is “September Critical Care Claims %”, and steps S21 and S22 are repeated (Step S22 is a determination step, if the determination result is Yes, Step S23 is performed, and if the determination result is otherwise, Step S24 is performed) And in this step, the policy query information and the policy dimension dictionary are matched each time, and the policy dimension in the updated policy query information is obtained. After a limited number of policy query information updates and duplicate matches, after matching all the policy dimensions, the matching analysis process of the policy query information is completed. Understandably, the policy dimensions obtained from the original policy query information for “Beijing Chaoyang District September Critical Disease Claims Chen%” are “Beijing Chaoyang District”, “September” and “Heavy Danger Insurance”. ", "claims" and "Chen%".

S30: Obtain at least one target policy according to at least one policy dimension.

Among them, the target policy refers to the policy used for multi-dimensional analysis. In this embodiment, according to the at least one policy dimension acquired in the policy query information, the target policy corresponding to the policy dimension is obtained by using the correspondence between the at least one policy dimension and the target policy, and the target policy is obtained through the policy dimension. purpose.

In a specific implementation, in step S30, as shown in FIG. 4, at least one target policy is obtained according to at least one policy dimension, which specifically includes the following steps:

S31: Query an index dimension table according to at least one policy dimension to determine a storage address of at least one policy corresponding to at least one policy dimension.

In this embodiment, the index dimension table is queried according to at least one policy dimension. For example, the obtained policy dimension (represented by the index dimension word) has “Beijing Chaoyang District”, “September”, “Heavy Danger Insurance”, and “claims”. And "Chen%", query the index dimension table, according to the logical relationship between the policy dimension stored in the index dimension table and the storage address of the policy, determine the storage address of the policy corresponding to the policy dimension. Specifically, according to the policy dimensions “Beijing Chaoyang District”, “September”, “Heavy Danger Insurance”, “Compensation” and “Chen%”, the final index in the index dimension table is that the Beijing Chaoyang District is heavy in September. The storage address of the policy for all claimants in the Dangerous Policy type. It can be understood that when the index dimension table is queried according to at least one policy dimension, the storage address of the policy matching all the policy dimensions can be obtained, and the policy data of the policy matches all the policy dimensions.

S32: Obtain at least one target policy according to the storage address of the at least one policy.

In this embodiment, the stored target policy is obtained in the main file (physical data layer) of the index file according to the storage address of the policy corresponding to the policy dimension logic stored in the index dimension table (logical data layer).

S40: Perform multi-dimensional analysis according to at least one target policy to obtain multi-dimensional analysis results.

The multi-dimensional analysis of the policy can be various. According to the acquired target policy, the information on the plurality of policy dimensions included in the target policy can be analyzed in a targeted manner to obtain the corresponding multi-dimensional analysis result, the multi-dimensional The analysis results are more intuitive to understand the situation and operation trajectory of the policy, and improve the efficiency of analyzing the policy. Among them, multi-dimensional analysis includes but is not limited to multi-dimensional query analysis, multi-dimensional comparative analysis and multi-dimensional statistical analysis.

In this embodiment, if the multi-dimensional query analysis is performed, the target policy is queried in multiple dimensions on the display interface of the policy multi-dimensional analysis system according to the acquired target policy. For example, when querying the claim situation of the critical illness insurance, the at least one target policy can be highlighted to highlight the situation of the critical illness insurance regarding the claims transaction, so as to implement the query function on multiple arbitrary dimensions.

If a multi-dimensional comparative analysis is performed, a comparison of the dimensions of the policy itself or the policy (including but not limited to the policy dimension in the policy query information) may be performed according to the acquired target policy. Each dimension information (such as policy billing time, renewal status, payment status, or deduction reason) included in the target policy can be compared. The information in each dimension can be obtained through the policy multi-dimensional analysis system and sensed by the user. The dimensions of interest are compared, and the comparison results can be presented in a variety of ways, such as text, table or image, to achieve multi-dimensional comparison of the policy.

If you perform multi-dimensional statistical analysis of the policy, you can select at least two target policies required, and perform statistical analysis on any number of policy dimensions of the policy according to actual needs. For example, you can count the amount of claims for all critical illness insurance policies, count the number of renewals for all critical illness insurance policies, or calculate the reasons for the deduction of all critical illness insurance policies, and pass the multi-dimensional statistical results on the policy multi-dimensional analysis system. , multiple forms such as tables and images, to achieve multi-dimensional statistical functions of the policy.

In the method for implementing multi-dimensional analysis of the policy provided by the embodiment, the policy query information is first obtained, and then the policy query information is matched and analyzed by using a preset policy dimension vocabulary to obtain at least one policy dimension, and the policy query information is matched. The analysis can accurately and effectively obtain at least one policy dimension in the policy dimension vocabulary from the policy query information, and achieve the purpose of extracting the policy dimension in the policy query information. Then, according to at least one policy dimension, at least one target policy is obtained, and the logical relationship between the index dimension words stored in the index dimension table and the storage address of the corresponding policy can be quickly and efficiently obtained according to the policy dimension corresponding to the index dimension word. The corresponding target policy. Finally, multi-dimensional analysis is performed according to at least one target policy to obtain multi-dimensional analysis results, and multi-dimensional analysis is performed according to the target policy according to the requirements, which can satisfy multi-dimensional query analysis, multi-dimensional comparative analysis or multi-dimensionality of target policies from multiple policy dimensions. The multi-dimensional analysis function, such as statistical analysis, achieves the purpose of comprehensive and diversified analysis of the target policy, and quickly and efficiently obtains the target policy analysis results based on multiple dimensions.

It should be understood that the size of the sequence of the steps in the above embodiments does not mean that the order of execution is performed. The order of execution of each process should be determined by its function and internal logic, and should not be construed as limiting the implementation process of the embodiments of the present application.

Example 2

FIG. 5 is a schematic block diagram showing a policy multi-dimensional analysis implementation apparatus corresponding to the policy multi-dimensional analysis implementation method in Embodiment 1. As shown in FIG. 5, the policy multi-dimensional analysis implementation apparatus includes a policy query information acquisition module 10, a policy dimension acquisition unit module 20, a target policy acquisition module 30, and a multi-dimensional analysis result acquisition module 40. The implementation functions of the policy query information acquisition module 10, the policy dimension acquisition unit module 20, the target policy acquisition module 30, and the multi-dimensional analysis result acquisition module 40 correspond to the steps corresponding to the policy multi-dimensional analysis implementation method in the first embodiment. In order to avoid redundancy, the present embodiment will not be described in detail.

The policy query information obtaining module 10 is configured to obtain policy query information.

The policy dimension obtaining module 20 is configured to perform matching analysis on the policy query information by using a preset policy dimension vocabulary to obtain at least one policy dimension.

The target policy acquisition module 30 is configured to acquire at least one target policy according to at least one policy dimension.

The multi-dimensional analysis result obtaining module 40 is configured to perform multi-dimensional analysis according to at least one target policy to obtain multi-dimensional analysis results.

Preferably, the policy multi-dimensional analysis implementation apparatus further includes a policy dimension vocabulary creation module 50 for creating a policy dimension vocabulary.

The policy dimension vocabulary creation module 50 includes a policy data acquisition unit 51, an index dimension word acquisition unit 52, and a policy dimension vocabulary creation unit 53.

The policy data obtaining unit 51 is configured to obtain policy data of all policies from a database storing the policy.

The index dimension word obtaining unit 52 is configured to perform word segmentation processing on the policy data of all the policies to obtain at least one index dimension word, and each index dimension word corresponds to a policy dimension.

The policy dimension vocabulary creating unit 53 is configured to create an index dimension vocabulary based on the at least one index dimension word, wherein the index dimension table is associated with the storage address of the policy corresponding to the index dimension word and the index dimension word.

Preferably, the policy dimension acquisition module 20 includes a first matching word acquisition unit 21, an index dimension word determination unit 22, a first matching word update acquisition unit 23, a first matching word determination unit 24, and a policy dimension acquisition unit 25.

The first matching word obtaining unit 21 is configured to match the policy query information from the left and right to the index dimension word in the policy dimension vocabulary, and set the index dimension word with the first matching success as the first matching word.

The index dimension word determining unit 22 is configured to determine whether there is an index dimension word including the first matching word as a prefix in the policy dimension lexicon.

The first matching word update obtaining unit 23 is configured to continue the index query information in the policy dimension lexicon from left to right when there is an index dimension word including the first matching word as a prefix in the policy dimension vocabulary The word is matched. If the matching is successful, the index dimension word including the first matching word as a prefix is updated to the first matching word, and the step of determining whether the index dimension word containing the first matching word exists in the policy dimension lexicon is repeatedly executed. .

The first matching word determining unit 24 is configured to: if the index dimension word containing the first matching word as a prefix does not exist in the policy dimension lexicon, use the first matching word as a matched policy dimension.

The policy dimension obtaining unit 25 is configured to remove the matched policy dimension in the policy query information, update the policy query information, and repeat the policy query information from the left to the right to match the index dimension word in the policy dimension vocabulary, and the first matching is successful. The index dimension word is set as the first matching word, and the step of determining the index dimension word containing the first matching word in the policy dimension lexicon is obtained; until at least one policy dimension is obtained by matching all the policy dimensions in the policy query information.

Preferably, the target policy acquisition module 30 includes a storage address determination unit 31 and a target policy acquisition unit 32.

The storage address determining unit 31 is configured to query the index dimension table according to the at least one policy dimension to determine a storage address of the at least one policy corresponding to the at least one policy dimension.

The target policy obtaining unit 32 is configured to acquire at least one target policy according to the storage address of the at least one policy.

Preferably, the multi-dimensional analysis includes multi-dimensional query analysis, multi-dimensional comparative analysis, and multi-dimensional statistical analysis.

In the policy multi-dimensional analysis implementation device provided by the embodiment, the policy query information obtaining module 10 and the policy dimension obtaining module 20 are respectively configured to obtain policy query information and use the preset policy dimension vocabulary to perform policy query information. Matching analysis, obtaining at least one policy dimension, and matching and analyzing the policy query information, can accurately and effectively obtain at least one policy dimension in the policy dimension vocabulary from the policy query information, and achieve the purpose of extracting the policy dimension in the policy query information. . The target policy obtaining module 30 is configured to acquire at least one target policy according to at least one policy dimension, and the logical relationship between the index dimension word stored by the index dimension table and the storage address of the corresponding policy can be effectively and quickly according to the index dimension. The policy dimension corresponding to the word gets the corresponding target policy. The multi-dimensional analysis result obtaining module 40 is configured to perform multi-dimensional analysis according to at least one target policy, obtain multi-dimensional analysis results, perform multi-dimensional analysis according to the target policy according to requirements, and satisfy multi-dimensional query of the target policy from multiple policy dimensions. Multi-dimensional analysis functions such as analysis, multi-dimensional comparative analysis or multi-dimensional statistical analysis achieve the purpose of comprehensive and diversified analysis of target policies, and quickly and efficiently obtain target policy analysis results based on multiple dimensions.

Example 3

This embodiment provides one or more non-volatile readable storage media having computer readable instructions stored thereon. The one or more non-volatile readable storage mediums storing computer readable instructions, when executed by one or more processors, causing one or more processors to perform the policy multi-dimensionality of embodiment 1. Analyze the implementation method, in order to avoid duplication, we will not repeat them here. Alternatively, when the computer readable instructions are executed by the processor, the functions of the modules/units in the policy multi-dimensional analysis implementation device in Embodiment 2 are implemented. To avoid repetition, details are not described herein again.

It will be understood that one or more non-volatile readable storage media storing computer readable instructions may comprise: any entity or device capable of carrying the computer readable instruction code, a recording medium, a USB flash drive, a mobile hard drive, Disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and the like.

Example 4

Figure 6 is a schematic diagram of a terminal device in this embodiment. As shown in FIG. 6, terminal device 60 includes a processor 61, a memory 62, and computer readable instructions 63 stored in memory 62 and operative on processor 61. The processor 61 implements various steps of the policy multi-dimensional analysis implementation method in Embodiment 1 when the computer readable instructions 63 are executed, such as steps S10, S20, S30, and S40 shown in FIG. Alternatively, when the processor 61 executes the computer readable instructions 63, the functions of each module/unit of the policy multi-dimensional analysis implementation device in Embodiment 2 are implemented, as shown in FIG. 5, the policy query information acquisition module 10, the policy dimension acquisition unit module 20, and the target. The functions of the policy acquisition module 30 and the multi-dimensional analysis result acquisition module 40.

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the division of each functional unit and module described above is exemplified. In practical applications, the above functions may be assigned to different functional units as needed. The module is completed by dividing the internal structure of the device into different functional units or modules to perform all or part of the functions described above.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

The above-mentioned embodiments are only used to explain the technical solutions of the present application, and are not limited thereto; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still implement the foregoing embodiments. The technical solutions described in the examples are modified or equivalently replaced with some of the technical features; and the modifications or substitutions do not deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in Within the scope of protection of this application.

Claims

A policy multi-dimensional analysis implementation method, characterized in that:

Obtain policy inquiry information;

Performing matching analysis on the policy query information by using a preset policy dimension vocabulary to obtain at least one of the policy dimensions;

Obtaining at least one target policy according to at least one of the policy dimensions;

Performing multi-dimensional analysis according to at least one of the target policies to obtain multi-dimensional analysis results.
The policy multi-dimensional analysis implementation method according to claim 1, wherein the policy multi-dimensional analysis implementation method further comprises: creating the policy dimension vocabulary before the step of acquiring the policy query information;

The creating the policy dimension vocabulary includes:

Obtain policy data for all policies from the database in which the policy is stored;

Performing word segmentation on the policy data of all policies to obtain at least one index dimension word, each of the index dimension words corresponding to one of the policy dimensions;

The policy dimension vocabulary is created based on at least one of the index dimension words, wherein the index dimension table is associated with a storage address of a policy corresponding to the index dimension word and the index dimension word.
The method for implementing policy multi-dimensional analysis according to claim 2, wherein the matching the policy query information by using a preset policy dimension vocabulary to obtain at least one of the policy dimensions comprises:

Matching the policy query information from the index dimension words in the policy dimension vocabulary from left to right, and setting the index dimension words that are successfully matched for the first time as the first matching words;

Determining whether there is an index dimension word in the policy dimension lexicon that includes the first matching word as a prefix;

If there is an index dimension word including the first matching word as a prefix in the policy dimension lexicon, proceeding from left to right, the policy query information and the index dimension word in the policy dimension vocabulary Performing matching, if the matching is successful, updating the index dimension word including the first matching word as a prefix to the first matching word, and repeatedly performing the determining whether the policy dimension dictionary includes the first a step of matching the indexed dimension words of the word;

If the index dimension word containing the first matching word is prefixed in the policy dimension lexicon, the first matching word is regarded as a matched policy dimension;

Removing the policy dimension that has been matched in the policy query information, updating the policy query information, and repeatedly performing the left-to-right matching of the policy query information with the index dimension words in the policy dimension vocabulary Setting the index dimension word that is successfully matched for the first time as the first matching word, and determining whether there is an index dimension word including the first matching word in the policy dimension lexicon; until the policy query information is matched At least one of the policy dimensions is obtained for all of the policy dimensions in the middle.
The method for implementing policy multi-dimensional analysis according to claim 2, wherein the obtaining the at least one target policy according to the at least one policy dimension comprises:

Querying the index dimension table according to at least one of the policy dimensions, determining a storage address of at least one policy corresponding to at least one of the policy dimensions;

Obtaining at least one target policy based on the storage address of at least one of the policies.
The policy multi-dimensional analysis implementation method according to claim 1, wherein the multi-dimensional analysis comprises multi-dimensional query analysis, multi-dimensional comparative analysis, and multi-dimensional statistical analysis.
A policy multi-dimensional analysis implementation device, comprising:

a policy query information obtaining module, configured to obtain policy query information;

a policy dimension obtaining module, configured to perform matching analysis on the policy query information by using a preset policy dimension vocabulary to obtain at least one policy dimension;

a target policy acquisition module, configured to acquire at least one target policy according to at least one of the policy dimensions;

The multi-dimensional analysis result obtaining module is configured to perform multi-dimensional analysis according to at least one of the target policies to obtain multi-dimensional analysis results.
The policy multi-dimensional analysis implementation apparatus according to claim 6, wherein the policy multi-dimensional analysis implementation apparatus further comprises a policy dimension vocabulary creation module, configured to create the policy dimension vocabulary, the policy dimension word The library creation module includes:

a policy data obtaining unit for obtaining policy data of all policies from a database storing the policy;

An index dimension word obtaining unit, configured to perform word segmentation processing on policy data of all policies, to obtain at least one index dimension word, each of the index dimension words corresponding to one of the policy dimensions;

a policy dimension lexicon creating unit, configured to build an index dimension vocabulary based on at least one of the index dimension words, wherein the index dimension table corresponds to the index dimension word and the index dimension word The storage address of the policy is associated.
The policy multi-dimensional analysis implementation apparatus according to claim 7, wherein the policy dimension acquisition module is configured to perform matching analysis on the policy query information by using a preset policy dimension vocabulary to obtain at least one of the policies. Policy dimensions, including:

a first matching word obtaining unit, configured to match the policy query information from an index dimension word in the policy dimension vocabulary from left to right, and set the index dimension word that is successfully matched for the first time as the first matching word ;

An index dimension word determining unit, configured to determine whether there is an index dimension word in the policy dimension vocabulary that includes the first matching word as a prefix;

a first matching word update obtaining unit, configured to continue the policy query information and the policy from left to right if there is an index dimension word including the first matching word as a prefix in the policy dimension vocabulary The index dimension words in the dimension lexicon are matched, and if the matching is successful, the index dimension word including the first matching word as a prefix is updated to the first matching word, and the determining the policy is repeated Whether there is a step of including an index dimension word of the first matching word in the dimension lexicon;

a first matching word determining unit, configured to: if the index dimension word containing the first matching word as a prefix does not exist in the policy dimension lexicon, use the first matching word as a matched policy dimension;

a policy dimension obtaining unit, configured to remove the policy dimension that has been matched in the policy query information, update the policy query information, and repeatedly execute the policy query information and the policy dimension vocabulary from left to right The index dimension word in the matching is matched, the index dimension word that is successfully matched for the first time is set as the first matching word, and the step of determining the index dimension word including the first matching word in the policy dimension lexicon is determined; Matching all of the policy dimensions in the policy query information to obtain at least one of the policy dimensions.
The policy multi-dimensional analysis implementation apparatus according to claim 7, wherein the target policy acquisition module comprises:

The storage address determining unit 31 is configured to query the index dimension table according to the at least one policy dimension to determine a storage address of at least one policy corresponding to at least one of the policy dimensions;

The target policy obtaining unit 32 is configured to acquire at least one target policy according to the storage address of the at least one policy.
The policy multi-dimensional analysis implementation apparatus according to claim 6, wherein the multi-dimensional analysis comprises multi-dimensional query analysis, multi-dimensional comparative analysis, and multi-dimensional statistical analysis.
A terminal device comprising a memory, a processor, and computer readable instructions stored in the memory and operative on the processor, wherein the processor executes the computer readable instructions step:

Obtain policy inquiry information;

Performing matching analysis on the policy query information by using a preset policy dimension vocabulary to obtain at least one of the policy dimensions;

Obtaining at least one target policy according to at least one of the policy dimensions;

Performing multi-dimensional analysis according to at least one of the target policies to obtain multi-dimensional analysis results.
The terminal device according to claim 11, wherein said processor further executes the step of: creating said policy dimension word when said processor executes said computer readable instruction before said step of obtaining policy inquiry information Library

The creating the policy dimension vocabulary includes:

Obtain policy data for all policies from the database in which the policy is stored;

Performing word segmentation on the policy data of all policies to obtain at least one index dimension word, each of the index dimension words corresponding to one of the policy dimensions;

The policy dimension vocabulary is created based on at least one of the index dimension words, wherein the index dimension table is associated with a storage address of a policy corresponding to the index dimension word and the index dimension word.
The terminal device according to claim 12, wherein the matching and analyzing the policy query information by using a preset policy dimension vocabulary to obtain at least one of the policy dimensions comprises:

Matching the policy query information from the index dimension words in the policy dimension vocabulary from left to right, and setting the index dimension words that are successfully matched for the first time as the first matching words;

Determining whether there is an index dimension word in the policy dimension lexicon that includes the first matching word as a prefix;

If there is an index dimension word including the first matching word as a prefix in the policy dimension lexicon, proceeding from left to right, the policy query information and the index dimension word in the policy dimension vocabulary Performing matching, if the matching is successful, updating the index dimension word including the first matching word as a prefix to the first matching word, and repeatedly performing the determining whether the policy dimension dictionary includes the first a step of matching the indexed dimension words of the word;

If the index dimension word containing the first matching word is prefixed in the policy dimension lexicon, the first matching word is regarded as a matched policy dimension;

Removing the policy dimension that has been matched in the policy query information, updating the policy query information, and repeatedly performing the left-to-right matching of the policy query information with the index dimension words in the policy dimension vocabulary Setting the index dimension word that is successfully matched for the first time as the first matching word, and determining whether there is an index dimension word including the first matching word in the policy dimension lexicon; until the policy query information is matched At least one of the policy dimensions is obtained for all of the policy dimensions in the middle.
The terminal device according to claim 12, wherein the obtaining the at least one target policy according to the at least one policy dimension comprises:

Querying the index dimension table according to at least one of the policy dimensions, determining a storage address of at least one policy corresponding to at least one of the policy dimensions;

Obtaining at least one target policy based on the storage address of at least one of the policies.
The terminal device according to claim 11, wherein said multi-dimensional analysis comprises multi-dimensional query analysis, multi-dimensional comparative analysis, and multi-dimensional statistical analysis.
One or more non-transitory readable storage mediums storing computer readable instructions, wherein when the computer readable instructions are executed by one or more processors, cause the one or more processors to execute The following steps:

Obtain policy inquiry information;

Performing matching analysis on the policy query information by using a preset policy dimension vocabulary to obtain at least one of the policy dimensions;

Obtaining at least one target policy according to at least one of the policy dimensions;

Performing multi-dimensional analysis according to at least one of the target policies to obtain multi-dimensional analysis results.
A non-volatile readable storage medium as recited in claim 16, wherein said said computer readable instructions are executed by one or more processors prior to said step of obtaining policy query information The one or more processors further implement the steps of: creating the policy dimension vocabulary;

The creating the policy dimension vocabulary includes:

Obtain policy data for all policies from the database in which the policy is stored;

Performing word segmentation on the policy data of all policies to obtain at least one index dimension word, each of the index dimension words corresponding to one of the policy dimensions;

The policy dimension vocabulary is created based on at least one of the index dimension words, wherein the index dimension table is associated with a storage address of a policy corresponding to the index dimension word and the index dimension word.
The non-volatile readable storage medium according to claim 17, wherein the matching the policy query information by using a preset policy dimension vocabulary to obtain at least one of the policy dimensions comprises:

Matching the policy query information from the index dimension words in the policy dimension vocabulary from left to right, and setting the index dimension words that are successfully matched for the first time as the first matching words;

Determining whether there is an index dimension word in the policy dimension lexicon that includes the first matching word as a prefix;

If there is an index dimension word including the first matching word as a prefix in the policy dimension lexicon, proceeding from left to right, the policy query information and the index dimension word in the policy dimension vocabulary Performing matching, if the matching is successful, updating the index dimension word including the first matching word as a prefix to the first matching word, and repeatedly performing the determining whether the policy dimension dictionary includes the first a step of matching the indexed dimension words of the word;

If the index dimension word containing the first matching word is prefixed in the policy dimension lexicon, the first matching word is regarded as a matched policy dimension;

Removing the policy dimension that has been matched in the policy query information, updating the policy query information, and repeatedly performing the left-to-right matching of the policy query information with the index dimension words in the policy dimension vocabulary Setting the index dimension word that is successfully matched for the first time as the first matching word, and determining whether there is an index dimension word including the first matching word in the policy dimension lexicon; until the policy query information is matched At least one of the policy dimensions is obtained for all of the policy dimensions in the middle.
The non-volatile readable storage medium of claim 17, wherein the obtaining the at least one target policy according to the at least one policy dimension comprises:

Querying the index dimension table according to at least one of the policy dimensions, determining a storage address of at least one policy corresponding to at least one of the policy dimensions;

Obtaining at least one target policy based on the storage address of at least one of the policies.
The non-volatile readable storage medium of claim 15, wherein the multi-dimensional analysis comprises multi-dimensional query analysis, multi-dimensional comparative analysis, and multi-dimensional statistical analysis.