CN114091860A - Query method, query apparatus, computer device, storage medium, and program product - Google Patents

Query method, query apparatus, computer device, storage medium, and program product Download PDF

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Publication number
CN114091860A
CN114091860A CN202111332010.1A CN202111332010A CN114091860A CN 114091860 A CN114091860 A CN 114091860A CN 202111332010 A CN202111332010 A CN 202111332010A CN 114091860 A CN114091860 A CN 114091860A
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Prior art keywords
monitoring
information
risk
control model
module
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CN202111332010.1A
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Chinese (zh)
Inventor
陈玉航
陈杨
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Qichacha Technology Co ltd
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Qichacha Technology Co ltd
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Priority to CN202111332010.1A priority Critical patent/CN114091860A/en
Publication of CN114091860A publication Critical patent/CN114091860A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0635Risk analysis of enterprise or organisation activities
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2455Query execution
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2457Query processing with adaptation to user needs

Abstract

The present application relates to a query method, apparatus, computer device, storage medium and program product. The method comprises the following steps: acquiring a monitoring identifier of a monitored object, wherein the monitored object is determined in advance by adding the monitoring identifier; sending the monitoring object to the server; receiving target information corresponding to the monitored object, which is fed back by the server according to the monitoring identification; and circularly rendering and displaying the target information. By adopting the method, the target focus of different query users can be met, and further personalized query is realized.

Description

Query method, query apparatus, computer device, storage medium, and program product
Technical Field
The present application relates to the field of computer technologies, and in particular, to a query method, an apparatus, a computer device, a storage medium, and a program product.
Background
With the further deepening and perfecting of the marketization process, a large number of active economic execution main bodies appear in the market, and the economic execution main bodies not only comprise enterprises, but also comprise individual personnel. Before these huge economic executives execute specific economic activities, a series of credit and risk evaluations are often required to be performed on the target executives to reduce the corresponding investment risks.
In the traditional credit and risk assessment query, the information of different dimensions of a query target execution subject needs to be queried point to point at a corresponding official website and mechanism, and the target query information is screened out from the corresponding query results.
However, in the point-to-point query method, the target focus of different query users cannot be satisfied, and personalization is not sufficient.
Disclosure of Invention
To a query method, apparatus, computer device, storage medium and program product.
In a first aspect, the present application provides a method. The method comprises the following steps:
acquiring a monitoring object, wherein the monitoring object is determined in advance by adding a monitoring identifier;
sending the monitoring object to the server;
receiving target information corresponding to the monitored object, which is fed back by the server according to the monitoring identification;
and circularly rendering and displaying the target information.
In one embodiment, the method further comprises:
acquiring an object to be processed in a recommendation mode or a search mode;
receiving a monitoring identifier adding request aiming at the object to be processed;
and adding a monitoring identifier to the object to be processed according to the monitoring identifier adding request, and taking the object to be processed as a monitoring object.
In one embodiment, the method further comprises:
receiving a wind control model configuration instruction aiming at the monitored object;
and configuring a wind control model corresponding to the monitored object according to the wind control model configuration instruction, wherein the wind control model comprises at least one of a risk dynamic setting module, a public opinion dynamic setting module, a dynamic analysis setting module, a risk score setting module and an object label setting module.
In one embodiment, the configuring, according to the wind control model configuration instruction, a wind control model corresponding to the monitored object includes:
and configuring any one of a calculation dimension, a grade of each calculation dimension, a judgment condition of each calculation dimension, a rule for calculating a reference index according to the category data calculated by each calculation dimension, and a rule for calculating an object label according to the reference index according to the wind control model configuration instruction.
In one embodiment, the method further comprises:
receiving an input object to be queried;
sending the object to be queried to the server;
receiving standard information corresponding to the query object fed back by the server, wherein the standard information comprises standard risk dynamic information, standard public opinion dynamic information and standard dynamic analysis information;
and circularly rendering and displaying the standard target information.
In one embodiment, the performing of the loop rendering display on the target information includes:
displaying the target information according to a primary menu, wherein the primary menu comprises a risk dynamic module, a public opinion dynamic module and a dynamic analysis module;
and receiving a selection instruction aiming at the module of the primary menu, acquiring corresponding risk information based on the selection instruction, and displaying the risk information.
In a second aspect, the present application provides a query method, which is applied to a server, and includes:
receiving the monitoring object and the corresponding monitoring identification;
acquiring a configured wind control model of the monitored object according to the monitoring identifier;
obtaining a corresponding query result according to the query of the monitoring object;
processing the query result according to the wind control model to obtain target information;
and sending the target information to a terminal.
In one embodiment, the processing the query result according to the wind control model to obtain the target information includes:
and processing the query result according to the risk level of each risk dimension, the monitoring state and the grading rule of each risk dimension and each public opinion category, and the risk object label setting rule after the wind control model is configured to obtain target information.
In one embodiment, the method further comprises:
receiving an object to be queried;
inquiring corresponding standard information according to the inquiry object, wherein the standard information comprises standard risk dynamic information, standard public opinion dynamic information and standard dynamic analysis information;
and sending the target information to a terminal.
In a third aspect, the present application further provides an inquiry apparatus, including:
the acquisition module is used for acquiring a monitoring identifier of a monitored object, wherein the monitored object is determined in advance by adding the monitoring identifier;
the information sending module is used for sending the monitoring object to the server;
the information receiving module is used for receiving target information which is fed back by the server and corresponds to the monitored object;
and the display module is used for circularly rendering and displaying the target information.
In a fourth aspect, the present application further provides an inquiry apparatus, where the apparatus is applied to a server, and includes:
the receiving module is used for receiving the monitoring object and the corresponding monitoring identifier;
the acquisition model module is used for acquiring a configured wind control model of the monitored object;
the query module is used for obtaining a corresponding query result according to the query of the monitoring object;
the processing module is used for processing the query result according to the wind control model to obtain target information;
and the target information sending module is used for sending the target information to a terminal.
In a fifth aspect, the present application further provides a computer device. The computer device comprises a memory storing a computer program and a processor implementing the following steps when executing the computer program:
acquiring a monitoring object, wherein the monitoring object is determined in advance by adding a monitoring identifier;
sending the monitoring object to a server;
receiving target information corresponding to the monitored object, which is fed back by the server according to the monitoring identifier;
and circularly rendering and displaying the target information.
In a sixth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of:
acquiring a monitoring object, wherein the monitoring object is determined in advance by adding a monitoring identifier;
sending the monitoring object to a server;
receiving target information corresponding to the monitored object, which is fed back by the server according to the monitoring identifier;
and circularly rendering and displaying the target information.
In a seventh aspect, the present application further provides a computer program product. The computer program product comprising a computer program which when executed by a processor performs the steps of:
acquiring a monitoring object, wherein the monitoring object is determined in advance by adding a monitoring identifier;
sending the monitoring object to a server;
receiving target information corresponding to the monitored object, which is fed back by the server according to the monitoring identifier;
and circularly rendering and displaying the target information.
According to the query method, the query device, the computer equipment, the storage medium and the program product, the terminal acquires the monitoring object, and the monitoring object is determined in advance by adding the monitoring identifier; sending the monitoring object to a server; and the receiving server processes the query result according to the preset of the user according to the target information which is fed back by the monitoring identifier and corresponds to the monitored object, so that the personalized query requirement of the client is realized. The terminal receives the target information fed back by the server, and the target information contains all information dimensions of the monitoring object, so that one-key query is realized, independent retrieval and sorting of all dimension information according to the query object are avoided, and human resources are saved.
Drawings
FIG. 1 is a diagram of an application environment of a query method in one embodiment;
FIG. 2 is a flow diagram illustrating a query method in one embodiment;
FIG. 3 is a diagram of a selection interface for a monitoring object in one embodiment;
FIG. 4 is a diagram illustrating the acquisition of a monitored object in another embodiment;
FIG. 5 is a schematic illustration of a watch list in another embodiment;
FIG. 6 is a diagram of a selection interface for a monitoring object in another embodiment;
FIG. 7 is a schematic illustration of a monitored object in a further embodiment;
FIG. 8 is a diagram illustrating the acquisition of a monitored object in yet another embodiment;
FIG. 9 is a flow diagram that illustrates a methodology in one embodiment;
FIG. 10 is a diagram illustrating display of target information, in one embodiment;
FIG. 11 is a diagram illustrating display of target information in another embodiment;
FIG. 12 is a diagram of an interactive scenario application of the query method in one embodiment;
FIG. 13 is a flowchart illustrating a query method according to an embodiment;
FIG. 14 is a block diagram showing the structure of an inquiry apparatus in one embodiment;
FIG. 15 is a diagram showing an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The query method provided by the application can be applied to the application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The terminal 102 obtains a monitoring identifier of a monitored object, and the monitored object is determined in advance by adding the monitoring identifier. The terminal 102 sends the monitored object to the server 104, and the server 104 receives the monitored object and the corresponding monitoring identifier; acquiring a wind control model of the configured monitoring object according to the monitoring identifier; obtaining a corresponding query result according to the query of the monitored object; processing the query result according to a wind control model to obtain target information; the target information is transmitted to the terminal 102. The terminal 102 receives target information corresponding to the monitored object fed back by the server 104. The terminal 102 circularly renders and displays the target information. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the server 104 may be implemented by an independent server or a server cluster formed by a plurality of servers.
In one embodiment, as shown in fig. 2, an inquiry method is provided, which is described by taking the application of the method to the terminal in fig. 1 as an example, and includes the following steps:
step 202, obtaining a monitoring object, wherein the monitoring object is determined in advance by adding a monitoring identifier.
The monitoring object is a target enterprise and/or individual which is configured by the user through the terminal and needs to be monitored. The monitoring mark is a mark, for example, processed by an identification bit or an identification symbol, and the current query object is changed into a monitoring object after adding the monitoring mark, wherein optionally, after the terminal configures the monitoring object, subsequent display of the monitoring object may simultaneously display the monitoring mark at the monitoring object, so that the user may make sure that the query object has been configured. The query object is a business and/or a person that the user wants to perform information query.
Specifically, the terminal receives a query object acquisition request input by a user, queries a corresponding query object based on the query object acquisition request, and adds a monitoring identifier to the query object to obtain a monitoring object. Optionally, the terminal and/or the server may further store a monitoring object list, where all configured target businesses and/or individuals that need to be monitored are stored in the monitoring object list. The terminal and/or the server can also add the monitoring object to the monitoring object list, so that the management of the monitoring object is facilitated. In another embodiment, the monitoring objects are grouped and displayed according to a certain rule. It should be noted that, the present application does not limit the manner of acquiring the query object, and may acquire the corresponding query object, or the present application does not limit the manner of managing the monitoring object, and may manage the monitoring object.
In a specific implementation process, the terminal may further receive a batch selection instruction of the monitoring objects to gather the corresponding monitoring objects together, so that the terminal may configure one monitoring model at a time, and a user may perform corresponding operations on the monitoring objects by clicking the monitoring model, including acquiring the monitoring objects.
And step 204, sending the monitoring object to a server.
Specifically, the monitored object may be sent only once after configuration is completed, or sent each time the target information needs to be acquired, so as to avoid the monitored object from being changed.
Preferably, the terminal sends the configuration information of the monitored object to the server in real time, so that the server updates the target information query time and the feedback time of the monitored object. The configuration information of the monitoring object comprises the configuration of the query object as the monitoring object and/or the configuration of the monitoring object as the query object, namely, the monitoring identification of the monitoring object is cancelled.
And step 206, receiving target information corresponding to the monitored object, which is fed back by the server according to the monitoring identifier.
The target information is information of each dimension of the monitored object. The information dimension of the target information of the monitored object and the information granularity of the corresponding dimension are not limited in the application, and the target information is the attention point of the user as long as the target information is related to the monitored object, namely, the target information is included in the application. Specifically, the target information may be, but is not limited to, self risk information, associated risk information, historical risk information, prompt information, and sensitive public opinion information of the monitored object. The types of the risk information include three major types of judicial risk, supervision risk and operation risk of an enterprise or an individual. The judicial risks comprise fifteen subclasses such as failure to produce and reform, loss of confidence executives and the like; the supervision risks comprise thirteen subclasses such as serious violation, violation treatment and the like; the operation risk comprises ten subclasses such as simple logout and record logout. The associated risk is defined as the risk of a business or an individual having an investment, stockholder, division or legal relationship with the business or the individual, and is referred to as the associated risk of the business or the individual. Historical risk is defined as the business or individual's own risk of having a past fix or close. The enterprise history change information, which is the presentation information, includes seven categories, such as a legal representative change, an actual controller change, and a beneficiary change. The types of sensitive public opinions comprise twelve categories of credit early warning, financial early warning, management early warning and the like, and the contents are all bad or negative information of the enterprise or the individual.
Specifically, the process of querying the monitoring object by the server according to the monitoring identifier to obtain the corresponding target information may be that the server queries the target information corresponding to the monitoring object from a plurality of databases at regular time or in real time.
And step 208, circularly rendering and displaying the target information.
Specifically, the circular rendering display refers to that target information is logically processed into code recognized by a browser, and the code is changed into an intuitive viewable display page.
In the query method, a terminal acquires a monitoring object, and the monitoring object is determined in advance by adding a monitoring identifier; sending the monitoring object to a server; and the receiving server processes the query result according to the preset of the user according to the target information which is fed back by the monitoring identifier and corresponds to the monitored object, so that the personalized query requirement of the client is realized. The terminal receives the target information fed back by the server, and the target information contains all information dimensions of the monitoring object, so that one-key query is realized, independent retrieval and sorting of all dimension information according to the query object are avoided, and human resources are saved.
In one embodiment, further comprising: acquiring an object to be processed in a recommendation mode or a search mode; receiving a monitoring identifier adding request aiming at an object to be processed; and adding a monitoring identifier to the object to be processed according to the monitoring identifier adding request, and taking the object to be processed as a monitoring object.
The recommendation mode is to know the preference of the user based on big data, so that interested information is actively recommended to the user, and the personalized recommendation requirement of the user is met. The object to be processed is a recommended object in a recommendation mode, and a search result in a search mode. The server may generate a personalized recommendation object for a monitoring object previously configured by the user and/or a queried monitoring object, for example, an object having an association relationship with the previously configured monitoring object and/or the queried monitoring object may be used as the personalized recommendation object.
In a specific embodiment, as shown in fig. 3, the page to which the monitoring object is added includes a monitoring object recommendation option, that is, an object to be processed, and further includes a monitoring button set for the recommended monitoring object option and associated with the monitoring object recommendation option, where the monitoring button is a monitoring identifier. As shown in fig. 4, after a page with a monitoring object is added and a query object "enterprise query" is searched, a query result object associated with the query object, that is, an object to be processed, is obtained, and monitoring buttons in options of the query result object are monitoring identifiers. And the user clicks the monitoring button to realize a monitoring identifier adding request of the object to be processed, the terminal responds to the corresponding monitoring identifier adding request, and the object to be processed is used as the monitoring object. Alternatively, it is managed by giving a monitoring list as shown in fig. 5.
In a specific embodiment, as shown in fig. 6, a page to which a monitoring object is added includes a monitoring object recommendation option, that is, an object to be processed, and further includes a monitoring button set for the recommended monitoring object option and associated with the monitoring object recommendation option, where the monitoring button is a monitoring identifier. And the user clicks the monitoring button to realize a monitoring identifier adding request of the object to be processed, the terminal responds to the corresponding monitoring identifier adding request, and the object to be processed is used as the monitoring object. Preferably, the system further comprises a one-key monitoring button, the user clicks the one-key monitoring button to realize a batch adding request of the monitoring identification of the object to be processed, the terminal responds to the corresponding batch adding request of the monitoring identification, and the object to be processed is processed into the monitoring object in batch. As shown in fig. 7, in the page where the monitoring object is added, after a query object such as "enterprise query" is searched, a query result object associated with the query object is obtained, and the query result objects are further provided with corresponding selection boxes and cancel determination buttons corresponding to the selection boxes. And the user selects a selection frame in the query result object, clicks a determination button to realize a monitoring identifier adding request of the object to be processed, and the terminal responds to the corresponding monitoring identifier adding request and takes the object to be processed as the monitoring object. Optionally, it is managed by a monitoring list as shown in fig. 8.
In the query method, the object to be processed is obtained through a recommendation mode or a search mode; receiving a monitoring identifier adding request aiming at an object to be processed; and adding a monitoring identifier to the object to be processed according to the monitoring identifier adding request, taking the object to be processed as the monitoring object, and increasing the obtaining mode of the monitoring object.
In one embodiment, the method comprises the following steps: receiving a wind control model configuration instruction aiming at a monitored object; and configuring a wind control model corresponding to the monitored object according to the wind control model configuration instruction, wherein the wind control model comprises at least one of a risk dynamic setting module, a public opinion dynamic setting module, a dynamic analysis setting module, a risk score setting module and an object label setting module.
The wind control model refers to a model for managing and adjusting a monitored object. The risk dynamic setting module sets risk level setting aiming at risk dimensionality and monitoring states of all the risk dimensionality. Public sentiment dynamic setting is set for monitoring states of all public sentiment categories. The dynamic analysis setting module is used for setting the trend prediction direction according to the risk dimension monitored by the risk dynamic setting module and the public opinion category monitored by the public opinion dynamic setting module. The risk score setting module is used for setting risk values aiming at various risk dimensions and public opinion categories. The object label setting module is used for setting labels aiming at risk dimensions and public opinion categories.
Specifically, the terminal receives a wind control model configuration instruction for a monitored object, and configures risk levels of risk dimensions and monitoring states of the risk dimensions, monitoring states of public opinion categories, trend prediction directions of the risk dimensions monitored by the risk dynamic setting module and the public opinion categories monitored by the public opinion dynamic setting module, risk values of the risk dimensions and the public opinion categories, and object labels of the risk dimensions and the public opinion categories according to the wind control model configuration instruction.
In the query method, the terminal receives the wind control model configuration instruction aiming at the monitored object, and configures the wind control model corresponding to the monitored object according to the wind control model configuration instruction, so that the configured wind control model meets the individual requirements of the user.
In one embodiment, configuring a wind control model corresponding to a monitored object according to a wind control model configuration instruction includes: any one of the calculation dimension, the grade of each calculation dimension, the judgment condition of each calculation dimension, the rule for calculating the reference index according to the category data calculated by each calculation dimension, and the rule for calculating the object label according to the reference index is configured according to the wind control model configuration instruction.
Wherein, the calculation dimension refers to the granularity of the target information of the monitored object. The level of the calculation dimension is the level of the granularity of each target information. And calculating a judgment condition of the dimension, and judging whether the granularity of the target information belongs to the condition for calculating the dimension. The reference index refers to a preset value of the category data corresponding to the calculation dimension. The object tags are user-defined tags set for the granularity of the target information by the user according to the reference indexes.
Specifically, the wind control model includes the respective granularities of the target information, for example, the respective granularities of the target information are divided into two categories, namely risk dynamic information and public opinion dynamic information. The risk dynamic information comprises 52 risk dimension expansions in total of 4 major categories including judicial risk, industrial risk, monitoring risk and business risk. The public opinion dynamic information is developed by 127 public opinion categories of 12 major categories such as operation early warning, supervision early warning and financial early warning. And the terminal configures monitoring states of each risk dimension and public opinion category according to the wind control model configuration instruction, monitors the corresponding risk dimension or public opinion category if the monitoring state is on, and does not monitor the corresponding risk dimension or public opinion category if the monitoring state is off.
The terminal can configure the grade of each risk dimension according to the wind control model configuration instruction, and optionally, the terminal divides the grade of the risk dimension into five grades of high risk, warning, prompt and interest according to the wind control model configuration instruction. By taking the inquiry evaluation dimension in the wind control model as an example, the inquiry evaluation is divided into two aspects of enterprise/personnel asset inquired evaluation and enterprise/personnel asset selected inquiry evaluation, and the system defaults to a risk level, but the terminal can set the risk level of the enterprise/personnel asset inquired evaluation according to the configuration instruction of the wind control model.
The terminal can configure the risk dimension monitored by the risk dynamic setting module and the trend prediction direction of the public opinion category monitored by the public opinion dynamic setting module as time according to the wind control model configuration instruction.
The terminal can configure the risk score of the granularity of the target information in the wind control model according to the wind control model configuration instruction. Wherein, the risk score is composed of a risk dynamic score, a public opinion dynamic score and a core risk score. The default calculation formula for the risk dynamic score is: the system comprises a judicial risk score 25%, a business risk score 25%, a supervision risk score 25%, an operational risk score 25%, and a score of each major category equal to a high risk dynamic quantity under the major category plus a high risk basic score plus a risk dynamic quantity plus a warning basic score plus a warning dynamic quantity plus a warning basic score plus a good dynamic quantity plus a good basic score, wherein the system default score of each basic score can be defined by a user. The scoring calculation formula of the public opinion dynamic scoring is the same as the calculation formula of the risk dynamic scoring in principle, and is not repeated herein, and each public opinion major score is the sum of the ratio of each public opinion major score. The core risk score is independent of the high risk dynamics and is the core risk (high risk) quantity-the base score, although this score is also user-defined.
The terminal can configure an object label setting module in the wind control model according to the wind control model configuration instruction, and the object label is a label marked according to the score of the risk scoring interval. For example, an object label with a configured risk score below 1 score is no risk, an object label with a configured risk score ranging from 1 to 360 scores is low risk, an object label with a configured risk score ranging from 360 to 1225 scores is medium risk, and an object label with a configured risk score greater than 1225 scores is high risk. It should be noted that the risk score range corresponding to the risk object tag supports customization.
In the query method, the terminal configures the wind control model corresponding to the monitored object according to the wind control model configuration instruction, and the server processes the query result through the wind control model configured by the terminal, so that the personalized query requirement of the client is realized.
In one embodiment, further comprising: receiving an input object to be queried; sending an object to be queried to a server; receiving standard information corresponding to the query object fed back by the server, wherein the standard information comprises standard risk dynamic information, standard public opinion dynamic information and standard dynamic analysis information; and circularly rendering and displaying the standard information.
The object to be queried is an executive main body of risk information of an enterprise or a person, which a user wants to obtain. And standard information refers to information generated according to preset query granularity, wherein the preset query granularity refers to each risk dimension and public opinion category.
Specifically, in the implementation process, the terminal receives an object to be queried input or searched by a user, and sends the object to be queried to the server. The server queries one by one according to the received objects to be queried and preset query granularity, acquires query results corresponding to the corresponding query granularity, generates standard information according to each corresponding query result and sends the standard information to the terminal, and the terminal performs cyclic rendering display on the standard information.
Taking fig. 9 as an example, the terminal receives an input object to be queried and sends the object to be queried and its corresponding ID to the server. And the server interface uses the ID to perform risk scanning query, collects and assembles all risk items matched with the ID, classifies the risk items according to self risk, associated risk, historical risk, prompt information and sensitive public opinion to generate standard information, and sends the standard information to the terminal. And the terminal processes the standard data and then performs circular list rendering display. And when the terminal receives a division instruction for clicking a specific risk content, skipping to the risk statistical page or skipping to a specific risk detail page according to the enterprise ID and the risk type. In the query method, the terminal processes the query method and the result of the object to be queried according to the unified standard flow, and can acquire the risk information of each query granularity associated with the object to be queried by one key, so that the query is convenient and fast, and the consumption of manpower and resources is reduced.
In one embodiment, the target information is subjected to circular rendering display, and the circular rendering display comprises the following steps: displaying the target information according to a first-level menu, wherein the first-level menu comprises a risk dynamic module, a public opinion dynamic module and a dynamic analysis module; and receiving a selection instruction aiming at the module of the primary menu, acquiring corresponding risk information based on the selection instruction, and displaying the risk information.
In a specific implementation process, the target information is displayed in fig. 10 in a preset form of a primary menu, where the preset form of the primary menu includes head enterprise-related information and the following 5 modules, which are self risk, associated risk, historical risk, prompt information, and sensitive public opinion, respectively. When the terminal receives a triggering instruction for the first-level menu, for example, a mouse click operation. When the terminal receives click operation for the risk module of the menu itself, a page shown in fig. 11 is expanded, including specific risk names, such as limiting high consumption and the like; risk level, high risk, etc.; the statistical number of risks and the reason for the risk is marked red.
In the query method, the terminal displays the target information according to the first-level menu and receives the selection instruction of the module aiming at the first-level menu to display the corresponding risk information, so that the typesetting of the target information is hierarchical, the primary and secondary are clear, and the user can conveniently obtain the key points from the target information.
In one embodiment, the method is applied to a server, and comprises the following steps: receiving a monitoring object and a corresponding monitoring identifier; acquiring a wind control model of the configured monitoring object; obtaining a corresponding query result according to the query of the monitored object; processing the query result according to a wind control model to obtain target information; and sending the target information to the terminal.
Specifically, the server receives a monitoring object and a corresponding monitoring identifier sent by the terminal. And the server acquires the wind control model after the terminal is configured according to the configuration instruction of the wind control model. The server inquires the monitored objects one by one according to preset inquiry granularity, namely each risk dimension and public opinion category, acquires inquiry results of each preset inquiry granularity of the monitored objects, processes the inquiry results according to the configured wind control model to acquire target information, and sends the target information to the terminal.
In the query method, the server feeds back the target information corresponding to the monitored object according to the wind control model, namely, the query result is received and processed according to the preset of the user, and the personalized query requirement of the client is realized. The terminal receives the target information fed back by the server, and the target information contains all information dimensions of the monitoring object, so that one-key query is realized, independent retrieval and sorting of all dimension information according to the query object are avoided, and human resources are saved.
In one embodiment, processing the query result according to the wind control model to obtain the target information includes: and processing the query result according to the risk grade of each risk dimension, the monitoring state and the grading rule of each risk dimension and each public opinion category, and the risk object label setting rule after the configuration of the wind control model to obtain target information.
It should be noted that the risk level of each risk dimension, the monitoring state and the scoring rule of each risk dimension and each public opinion category, and the risk object tag setting rule after the configuration of the wind control model at the server correspond to the method for configuring the wind control model in the terminal, and are not described herein again.
In the query method, the terminal configures the wind control model corresponding to the monitored object according to the wind control model configuration instruction, and the server processes the query result through the wind control model configured by the terminal, so that the personalized query requirement of the client is realized.
In one embodiment, further comprising: receiving an object to be queried; inquiring corresponding standard information according to the inquiry object, wherein the standard information comprises standard risk dynamic information, standard public opinion dynamic information and standard dynamic analysis information; and sending the target information to the terminal.
It should be noted that, the server receives the object to be queried; inquiring corresponding standard information according to the inquiry object, wherein the standard information comprises standard risk dynamic information, standard public opinion dynamic information and standard dynamic analysis information; sending the target information to a terminal and an object to be inquired in the terminal for receiving input; sending an object to be queried to a server; receiving standard information corresponding to the query object fed back by the server, wherein the standard information comprises standard risk dynamic information, standard public opinion dynamic information and standard dynamic analysis information; the method for circularly rendering and displaying the standard information has corresponding technical characteristics, so that the method has the same technical effect and is not repeated herein.
Fig. 12 shows an interaction scene diagram corresponding to the query method in this embodiment. The terminal can be understood as a client in the language, the server can be understood as a server in the figure, and the database can be understood as a data source queried by the server. Specifically, a client sends a request to a server, the server requests a database to perform data query, the database returns corresponding query data to the server, the server assembles and processes the data, the data are returned to the client, and the client renders and displays the data.
In one embodiment, as shown in FIG. 13, the wind steward provides portals on both the APP side and the website side, and the user clicks on the portal to enter the wind steward. The wind control manager takes a monitoring list, an enterprise investigation big data platform and a wind control model as cores, and checks the risk dynamics, the public opinion dynamics and the dynamic analysis of the monitored object in real time according to the risk public opinion rule set by the user. The wind control model comprises a configured basic wind control model and also supports user customization: risk dynamic setting/public opinion dynamic setting/dynamic analysis setting/risk score setting/object label setting; in order to facilitate timely acquisition of the dynamic state by a user, the wind control housekeeper supports platform pushing, stub pushing and mail pushing.
It should be understood that although the various steps in the flow charts of fig. 1-13 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 1-13 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps.
In one embodiment, as shown in fig. 14, there is provided a query apparatus including: the information processing system comprises an acquisition module 100, an information sending module 200, an information receiving module 300 and a display module 400, wherein:
an obtaining module 100, configured to obtain a monitored object, where the monitored object is determined in advance by adding a monitoring identifier;
an information sending module 200, configured to send the monitored object to a server;
an information receiving module 300, configured to receive target information corresponding to the monitored object, which is fed back by the server according to the monitoring identifier;
and the display module 400 is configured to perform circular rendering display on the target information.
In one embodiment, the apparatus further comprises: the second acquisition module is used for acquiring the object to be processed in a recommendation mode or a search mode; the adding identification module is used for receiving a monitoring identification adding request aiming at the object to be processed; and the processing module is used for adding the monitoring identifier to the object to be processed according to the monitoring identifier adding request and taking the object to be processed as the monitoring object.
In one embodiment, the method comprises the following steps: the instruction receiving module is used for receiving a wind control model configuration instruction aiming at a monitored object; and the configuration module is used for configuring the wind control model corresponding to the monitored object according to the wind control model configuration instruction, and the wind control model comprises at least one of a risk dynamic setting module, a public opinion dynamic setting module, a dynamic analysis setting module, a risk score setting module and an object label setting module.
In one embodiment, a configuration module includes: and configuring any one of the calculation dimensions, the grades of the calculation dimensions, the judgment conditions of the calculation dimensions, the rules for calculating the reference indexes according to the category data calculated by the calculation dimensions and the rules for calculating the object labels according to the reference indexes according to the configuration instructions of the wind control model.
In one embodiment, the apparatus further comprises: the third acquisition module is used for receiving an input object to be queried; the second information sending module is used for sending the object to be inquired to the server; the second information receiving module is used for receiving standard information which is fed back by the server and corresponds to the query object, and the standard information comprises standard risk dynamic information, standard public opinion dynamic information and standard dynamic analysis information; and the second display module is used for circularly rendering and displaying the standard information.
In one embodiment, a display module includes: displaying the target information according to a first-level menu, wherein the first-level menu comprises a risk dynamic module, a public opinion dynamic module and a dynamic analysis module; and receiving a selection instruction aiming at the module of the primary menu, acquiring corresponding risk information based on the selection instruction, and displaying the risk information.
In one embodiment, the apparatus is applied to a server, and includes: the object acquisition module is used for receiving the monitored object and the corresponding monitoring identifier; the model acquisition module is used for acquiring a configured wind control model of the monitored object according to the monitoring identifier; the result acquisition module is used for acquiring a corresponding query result according to the query of the monitoring object; the information processing module is used for processing the query result according to the wind control model to obtain target information; and the target information sending module is used for sending the target information to the terminal.
In one embodiment, an information processing module includes: and processing the query result according to the risk grade of each risk dimension, the monitoring state and the grading rule of each risk dimension and each public opinion category, and the risk object label setting rule after the configuration of the wind control model to obtain target information.
In one embodiment, the apparatus further comprises: the second object acquisition module is used for receiving an object to be queried; the second result acquisition module is used for inquiring corresponding standard information according to the inquiry object, and the standard information comprises standard risk dynamic information, standard public opinion dynamic information and standard dynamic analysis information; and the second target information sending module is used for sending the target information to the terminal.
For the specific definition of the query device, reference may be made to the above definition of the query method, which is not described herein again. The modules in the query device can be implemented in whole or in part by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 15. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing the target information related data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a query method.
Those skilled in the art will appreciate that the architecture shown in fig. 15 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program: acquiring a monitoring object, wherein the monitoring object is determined in advance by adding a monitoring identifier; sending the monitoring object to a server; receiving target information corresponding to the monitored object, which is fed back by the server according to the monitoring identifier; and circularly rendering and displaying the target information.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring an object to be processed in a recommendation mode or a search mode; receiving a monitoring identifier adding request aiming at an object to be processed; and adding a monitoring identifier to the object to be processed according to the monitoring identifier adding request, and taking the object to be processed as a monitoring object.
In one embodiment, the processor, when executing the computer program, further performs the steps of: receiving a wind control model configuration instruction aiming at a monitored object; and configuring a wind control model corresponding to the monitored object according to the wind control model configuration instruction, wherein the wind control model comprises at least one of a risk dynamic setting module, a public opinion dynamic setting module, a dynamic analysis setting module, a risk score setting module and an object label setting module.
In one embodiment, the configuring, by the processor, the wind control model corresponding to the monitored object according to the wind control model configuration instruction when the processor executes the computer program includes: any one of the calculation dimension, the grade of each calculation dimension, the judgment condition of each calculation dimension, the rule for calculating the reference index according to the category data calculated by each calculation dimension, and the rule for calculating the object label according to the reference index is configured according to the wind control model configuration instruction.
In one embodiment, the processor, when executing the computer program, further performs the steps of: receiving an input object to be queried; sending an object to be queried to a server; receiving standard information corresponding to the query object fed back by the server, wherein the standard information comprises standard risk dynamic information, standard public opinion dynamic information and standard dynamic analysis information; and circularly rendering and displaying the standard information.
In one embodiment, the circular rendering display of the target information, implemented when the computer program is executed by the processor, comprises: displaying the target information according to a first-level menu, wherein the first-level menu comprises a risk dynamic module, a public opinion dynamic module and a dynamic analysis module; and receiving a selection instruction aiming at the module of the primary menu, acquiring corresponding risk information based on the selection instruction, and displaying the risk information.
In one embodiment, the processor, when executing the computer program, further performs the steps of: receiving a monitoring object and a corresponding monitoring identifier; acquiring a wind control model of the configured monitoring object according to the monitoring identifier; obtaining a corresponding query result according to the query of the monitored object; processing the query result according to a wind control model to obtain target information; and sending the target information to the terminal.
In one embodiment, the processing the query result according to the wind control model to obtain the target information when the processor executes the computer program includes: and processing the query result according to the risk grade of each risk dimension, the monitoring state and the grading rule of each risk dimension and each public opinion category, and the risk object label setting rule after the configuration of the wind control model to obtain target information.
In one embodiment, the processor, when executing the computer program, further performs the steps of: receiving an object to be queried; inquiring corresponding standard information according to the inquiry object, wherein the standard information comprises standard risk dynamic information, standard public opinion dynamic information and standard dynamic analysis information; and sending the target information to the terminal.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of: acquiring a monitoring object, wherein the monitoring object is determined in advance by adding a monitoring identifier; sending the monitoring object to a server; receiving target information corresponding to the monitored object, which is fed back by the server according to the monitoring identifier; and circularly rendering and displaying the target information.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring an object to be processed in a recommendation mode or a search mode; receiving a monitoring identifier adding request aiming at an object to be processed; and adding a monitoring identifier to the object to be processed according to the monitoring identifier adding request, and taking the object to be processed as a monitoring object.
In one embodiment, the computer program when executed by the processor further performs the steps of: receiving a wind control model configuration instruction aiming at a monitored object; and configuring a wind control model corresponding to the monitored object according to the wind control model configuration instruction, wherein the wind control model comprises at least one of a risk dynamic setting module, a public opinion dynamic setting module, a dynamic analysis setting module, a risk score setting module and an object label setting module.
In one embodiment, the configuring, by the processor, the wind control model corresponding to the monitored object according to the wind control model configuration instruction includes: any one of the calculation dimension, the grade of each calculation dimension, the judgment condition of each calculation dimension, the rule for calculating the reference index according to the category data calculated by each calculation dimension, and the rule for calculating the object label according to the reference index is configured according to the wind control model configuration instruction.
In one embodiment, the computer program when executed by the processor further performs the steps of: receiving an input object to be queried; sending an object to be queried to a server; receiving standard information corresponding to the query object fed back by the server, wherein the standard information comprises standard risk dynamic information, standard public opinion dynamic information and standard dynamic analysis information; and circularly rendering and displaying the standard information.
In one embodiment, the computer program, when executed by a processor, implements a circular rendering display of target information, comprising: displaying the target information according to a first-level menu, wherein the first-level menu comprises a risk dynamic module, a public opinion dynamic module and a dynamic analysis module; and receiving a selection instruction aiming at the module of the primary menu, acquiring corresponding risk information based on the selection instruction, and displaying the risk information.
In one embodiment, the computer program when executed by the processor further performs the steps of: receiving a monitoring object and a corresponding monitoring identifier; acquiring a wind control model of the configured monitoring object according to the monitoring identifier; obtaining a corresponding query result according to the query of the monitored object; processing the query result according to a wind control model to obtain target information; and sending the target information to the terminal.
In one embodiment, the processing of the query result according to the wind control model to obtain the target information when the computer program is executed by the processor comprises: and processing the query result according to the risk grade of each risk dimension, the monitoring state and the grading rule of each risk dimension and each public opinion category, and the risk object label setting rule after the configuration of the wind control model to obtain target information.
In one embodiment, the computer program when executed by the processor further performs the steps of: receiving an object to be queried; inquiring corresponding standard information according to the inquiry object, wherein the standard information comprises standard risk dynamic information, standard public opinion dynamic information and standard dynamic analysis information; and sending the target information to the terminal.
In one embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, performs the steps of: acquiring a monitoring object, wherein the monitoring object is determined in advance by adding a monitoring identifier; sending the monitoring object to a server; receiving target information corresponding to the monitored object, which is fed back by the server according to the monitoring identifier; and circularly rendering and displaying the target information.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring an object to be processed in a recommendation mode or a search mode; receiving a monitoring identifier adding request aiming at an object to be processed; and adding a monitoring identifier to the object to be processed according to the monitoring identifier adding request, and taking the object to be processed as a monitoring object.
In one embodiment, the computer program when executed by the processor further performs the steps of: receiving a wind control model configuration instruction aiming at a monitored object; and configuring a wind control model corresponding to the monitored object according to the wind control model configuration instruction, wherein the wind control model comprises at least one of a risk dynamic setting module, a public opinion dynamic setting module, a dynamic analysis setting module, a risk score setting module and an object label setting module.
In one embodiment, the configuring, by the processor, the wind control model corresponding to the monitored object according to the wind control model configuration instruction includes: any one of the calculation dimension, the grade of each calculation dimension, the judgment condition of each calculation dimension, the rule for calculating the reference index according to the category data calculated by each calculation dimension, and the rule for calculating the object label according to the reference index is configured according to the wind control model configuration instruction.
In one embodiment, the computer program when executed by the processor further performs the steps of: receiving an input object to be queried; sending an object to be queried to a server; receiving standard information corresponding to the query object fed back by the server, wherein the standard information comprises standard risk dynamic information, standard public opinion dynamic information and standard dynamic analysis information; and circularly rendering and displaying the standard information.
In one embodiment, the computer program, when executed by a processor, implements a circular rendering display of target information, comprising: displaying the target information according to a first-level menu, wherein the first-level menu comprises a risk dynamic module, a public opinion dynamic module and a dynamic analysis module; and receiving a selection instruction aiming at the module of the primary menu, acquiring corresponding risk information based on the selection instruction, and displaying the risk information.
In one embodiment, the computer program when executed by the processor further performs the steps of: receiving a monitoring object and a corresponding monitoring identifier; acquiring a wind control model of the configured monitoring object according to the monitoring identifier; obtaining a corresponding query result according to the query of the monitored object; processing the query result according to a wind control model to obtain target information; and sending the target information to the terminal.
In one embodiment, the processing of the query result according to the wind control model to obtain the target information when the computer program is executed by the processor comprises: and processing the query result according to the risk grade of each risk dimension, the monitoring state and the grading rule of each risk dimension and each public opinion category, and the risk object label setting rule after the configuration of the wind control model to obtain target information.
In one embodiment, the computer program when executed by the processor further performs the steps of: receiving an object to be queried; inquiring corresponding standard information according to the inquiry object, wherein the standard information comprises standard risk dynamic information, standard public opinion dynamic information and standard dynamic analysis information; and sending the target information to the terminal.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (14)

1. A method for querying, the method comprising:
acquiring a monitoring object, wherein the monitoring object is determined in advance by adding a monitoring identifier;
sending the monitoring object to the server;
receiving target information corresponding to the monitored object, which is fed back by the server according to the monitoring identification;
and circularly rendering and displaying the target information.
2. The method of claim 1, further comprising:
acquiring an object to be processed in a recommendation mode or a search mode;
receiving a monitoring identifier adding request aiming at the object to be processed;
and adding a monitoring identifier to the object to be processed according to the monitoring identifier adding request, and taking the object to be processed as a monitoring object.
3. The method of claim 1, further comprising:
receiving a wind control model configuration instruction aiming at the monitored object;
and configuring a wind control model corresponding to the monitored object according to the wind control model configuration instruction, wherein the wind control model comprises at least one of a risk dynamic setting module, a public opinion dynamic setting module, a dynamic analysis setting module, a risk score setting module and an object label setting module.
4. The method according to claim 3, wherein the configuring the wind control model corresponding to the monitored object according to the wind control model configuration instruction includes:
and configuring any one of a calculation dimension, a grade of each calculation dimension, a judgment condition of each calculation dimension, a rule for calculating a reference index according to the category data calculated by each calculation dimension, and a rule for calculating an object label according to the reference index according to the wind control model configuration instruction.
5. The method of claim 1, further comprising:
receiving an input object to be queried;
sending the object to be queried to the server;
receiving standard information corresponding to the query object fed back by the server, wherein the standard information comprises standard risk dynamic information, standard public opinion dynamic information and standard dynamic analysis information;
and circularly rendering and displaying the standard information.
6. The method of claim 1, wherein the rendering the target information in a loop comprises:
displaying the target information according to a primary menu, wherein the primary menu comprises a risk dynamic module, a public opinion dynamic module and a dynamic analysis module;
and receiving a selection instruction aiming at the module of the primary menu, acquiring corresponding risk information based on the selection instruction, and displaying the risk information.
7. A query method is applied to a server and comprises the following steps:
receiving the monitoring object and the corresponding monitoring identification;
acquiring a configured wind control model of the monitored object according to the monitoring identifier;
obtaining a corresponding query result according to the query of the monitoring object;
processing the query result according to the wind control model to obtain target information;
and sending the target information to a terminal.
8. The method of claim 7, wherein processing the query result according to the wind control model to obtain target information comprises:
and processing the query result according to the risk level of each risk dimension, the monitoring state and the grading rule of each risk dimension and each public opinion category, and the risk object label setting rule after the wind control model is configured to obtain target information.
9. The method of claim 7, further comprising:
receiving an object to be queried;
inquiring corresponding standard information according to the inquiry object, wherein the standard information comprises standard risk dynamic information, standard public opinion dynamic information and standard dynamic analysis information;
and sending the target information to a terminal.
10. An apparatus for querying, the apparatus comprising:
the acquisition module is used for acquiring a monitoring identifier of a monitored object, wherein the monitored object is determined in advance by adding the monitoring identifier;
the information sending module is used for sending the monitoring object to the server;
the information receiving module is used for receiving target information which is fed back by the server and corresponds to the monitored object;
and the display module is used for circularly rendering and displaying the target information.
11. An inquiry apparatus, wherein the apparatus is applied to a server, and comprises:
the receiving module is used for receiving the monitoring object and the corresponding monitoring identifier;
the acquisition model module is used for acquiring a configured wind control model of the monitored object;
the query module is used for obtaining a corresponding query result according to the query of the monitoring object;
the processing module is used for processing the query result according to the wind control model to obtain target information;
and the target information sending module is used for sending the target information to a terminal.
12. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor realizes the steps of the method of any one of claims 1 to 9 when executing the computer program.
13. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 9.
14. A computer program product comprising a computer program, characterized in that the computer program realizes the steps of the method of any one of claims 1 to 9 when executed by a processor.
CN202111332010.1A 2021-11-11 2021-11-11 Query method, query apparatus, computer device, storage medium, and program product Pending CN114091860A (en)

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