CN109033139B - Client information query method, device, computer equipment and storage medium - Google Patents

Client information query method, device, computer equipment and storage medium Download PDF

Info

Publication number
CN109033139B
CN109033139B CN201810586226.2A CN201810586226A CN109033139B CN 109033139 B CN109033139 B CN 109033139B CN 201810586226 A CN201810586226 A CN 201810586226A CN 109033139 B CN109033139 B CN 109033139B
Authority
CN
China
Prior art keywords
client information
information
level
authorization
client
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201810586226.2A
Other languages
Chinese (zh)
Other versions
CN109033139A (en
Inventor
沈楚杰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Ping An Life Insurance Company of China Ltd
Original Assignee
Ping An Life Insurance Company of China Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Ping An Life Insurance Company of China Ltd filed Critical Ping An Life Insurance Company of China Ltd
Priority to CN201810586226.2A priority Critical patent/CN109033139B/en
Publication of CN109033139A publication Critical patent/CN109033139A/en
Application granted granted Critical
Publication of CN109033139B publication Critical patent/CN109033139B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/604—Tools and structures for managing or administering access control systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/10—Network architectures or network communication protocols for network security for controlling access to devices or network resources
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/10—Network architectures or network communication protocols for network security for controlling access to devices or network resources
    • H04L63/101—Access control lists [ACL]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/10—Network architectures or network communication protocols for network security for controlling access to devices or network resources
    • H04L63/105—Multiple levels of security
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • Computer Hardware Design (AREA)
  • General Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Computing Systems (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Automation & Control Theory (AREA)
  • Health & Medical Sciences (AREA)
  • Bioethics (AREA)
  • General Health & Medical Sciences (AREA)
  • Storage Device Security (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The application relates to a client information query method, a client information query device, computer equipment and a storage medium. Comprising the following steps: receiving a query request sent by a terminal, wherein the query request carries an operator identifier and corresponding query conditions; searching corresponding client information according to the query condition, and acquiring a client information level corresponding to the client information; determining whether the client information level is a preset level, and when the client information level is the preset level, sending an authorization acquisition instruction to the terminal, wherein the authorization acquisition instruction carries an authorization identifier; and receiving the authority information corresponding to the authorization identifier returned by the terminal, verifying whether the authority information corresponding to the authorization identifier is correct, and sending the client information to the terminal when the authority information corresponding to the authorization identifier is correct. By adopting the method, the safety of the client information can be ensured.

Description

Client information query method, device, computer equipment and storage medium
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a method and apparatus for querying client information, a computer device, and a storage medium.
Background
In the insurance industry, the client information is the basis for providing insurance service for clients, and the protection of the client information is more and more advanced in the insurance industry, especially some client information, and leakage may bring significant reputation or economic loss to insurance companies and clients. However, with the development of the internet, the internet technology is increasingly widely applied in the insurance industry, and has a certain problem for protecting the security of client information. When the user needs to use the client information, the user can inquire the client information at will, so that huge safety risks exist, and the client information is easy to leak.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a client information query method, apparatus, computer device, and storage medium that can prevent leakage of client information and improve the security of client information.
A method of customer information query, the method comprising:
receiving a query request sent by a terminal, wherein the query request carries an operator identifier and corresponding query conditions;
searching corresponding client information according to the query condition, and acquiring a client information level corresponding to the client information;
determining whether the client information level is a preset level, and when the client information level is the preset level, sending an authorization acquisition instruction to the terminal, wherein the authorization acquisition instruction carries an authorization identifier;
and receiving the authority information corresponding to the authorization identifier returned by the terminal, verifying whether the authority information corresponding to the authorization identifier is correct, and sending the client information to the terminal when the authority information corresponding to the authorization identifier is correct.
In one embodiment, after determining whether the client information level is a preset level, the method further includes:
when the client information level is not the preset level, determining whether the operator identifier and the corresponding query condition are stored in the cache database, and when the operator identifier and the corresponding query condition are not stored in the cache database, sending an authorization acquisition instruction to the terminal, wherein the authorization acquisition instruction carries an authorization identifier;
And receiving the authority information corresponding to the authorization identifier returned by the terminal, verifying whether the authority information corresponding to the authorization identifier is correct, and sending the client information to the terminal when the authority information corresponding to the authorization identifier is correct.
In one embodiment, the receiving terminal returns the authority information corresponding to the authorization identifier, verifies whether the authority information corresponding to the authorization identifier is correct, and when the authority information corresponding to the authorization identifier is correct, after sending the client information to the terminal, the method further includes:
the operator identification and the corresponding query condition are associated and written into a cache database;
and deleting the operator identification and the corresponding query condition stored in the cache database at regular time according to the client information level.
In one embodiment, before the query request sent by the receiving terminal, the method further includes:
acquiring client information, and grading the client information to obtain client information grade;
and storing the client information and the corresponding client information level in an associated mode.
In one embodiment, the obtaining the client information, grading the client information to obtain the client information level includes:
and obtaining the client information, and grading the client information according to preset grading conditions to obtain the client information level, wherein the preset grading conditions comprise at least one of client premium level, client occupation level and client feedback information.
In one embodiment, the step of grading the client information to obtain the client information level includes:
acquiring client information, and acquiring corresponding client information feature vectors according to the client information, wherein the client information feature vectors comprise premium vectors;
inputting the feature vector into a preset client information level model to obtain a client information level vector;
and obtaining the client information level according to the client information level vector.
In one embodiment, before the obtaining the client information, obtaining the corresponding client information feature vector according to the client information, the method further includes:
acquiring historical customer information and corresponding customer information levels, obtaining a customer information feature vector according to the historical customer information, and obtaining a customer information level vector according to the customer information levels;
and training the client information feature vector serving as input of the neural network model and the client information level vector serving as output of the neural network model to obtain a preset client information level model.
A customer information query apparatus, the apparatus comprising:
the request receiving module is used for receiving a query request sent by the terminal, wherein the query request carries an operator identifier and a corresponding query condition;
The level acquisition module is used for searching corresponding client information according to the query condition and acquiring a client information level corresponding to the client information;
the level determining module is used for determining whether the client information level is a preset level, and when the client information level is the preset level, an authorization acquisition instruction is sent to the terminal, wherein the authorization acquisition instruction carries an authorization identifier;
and the authorization module is used for receiving the authority information corresponding to the authorization identifier returned by the terminal, verifying whether the authority information corresponding to the authorization identifier is correct, and sending the client information to the terminal when the authority information corresponding to the authorization identifier is correct.
A computer device comprising a memory storing a computer program and a processor which when executing the computer program performs the steps of:
receiving a query request sent by a terminal, wherein the query request carries an operator identifier and corresponding query conditions;
searching corresponding client information according to the query condition, and acquiring a client information level corresponding to the client information;
determining whether the client information level is a preset level, and when the client information level is the preset level, sending an authorization acquisition instruction to the terminal, wherein the authorization acquisition instruction carries an authorization identifier;
And receiving the authority information corresponding to the authorization identifier returned by the terminal, verifying whether the authority information corresponding to the authorization identifier is correct, and sending the client information to the terminal when the authority information corresponding to the authorization identifier is correct.
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
receiving a query request sent by a terminal, wherein the query request carries an operator identifier and corresponding query conditions;
searching corresponding client information according to the query condition, and acquiring a client information level corresponding to the client information;
determining whether the client information level is a preset level, and when the client information level is the preset level, sending an authorization acquisition instruction to the terminal, wherein the authorization acquisition instruction carries an authorization identifier;
and receiving the authority information corresponding to the authorization identifier returned by the terminal, verifying whether the authority information corresponding to the authorization identifier is correct, and sending the client information to the terminal when the authority information corresponding to the authorization identifier is correct.
According to the client information query method, the client information query device, the computer equipment and the storage medium, the query request sent by the terminal is received, and the query request carries the operator identifier and the corresponding query condition; searching corresponding client information according to the query condition, and acquiring a client information level corresponding to the client information; determining whether the client information level is a preset level, and when the client information level is the preset level, sending an authorization acquisition instruction to the terminal, wherein the authorization acquisition instruction carries an authorization identifier; and receiving the authority information corresponding to the authorization identifier returned by the terminal, verifying whether the authority information corresponding to the authorization identifier is correct, and sending the client information to the terminal when the authority information corresponding to the authorization identifier is correct. The client information can be obtained by inquiring through a real-time authorization method and a periodic authorization method under different levels, so that the leakage of the client information is prevented, and the safety of the client information is improved.
Drawings
FIG. 1 is an application scenario diagram of a client information query method in one embodiment;
FIG. 2 is a flow chart of a method for querying client information in one embodiment;
FIG. 3 is a flow diagram of a process for periodically deleting a cached database in one embodiment;
FIG. 4 is a flow diagram of storing customer information and corresponding customer information levels in one embodiment;
FIG. 5 is a flow diagram of client information classification in one embodiment;
FIG. 6 is a flow diagram of training a pre-set customer information level model in one embodiment;
FIG. 7 is a block diagram of a client information query device in one embodiment;
FIG. 8 is a block diagram of a client information query apparatus according to another embodiment;
FIG. 9 is a block diagram of a client information query apparatus in yet another embodiment;
FIG. 10 is a block diagram of the structure of a hierarchy module in one embodiment;
FIG. 11 is a block diagram of a hierarchy module in another embodiment;
FIG. 12 is an internal block diagram of a computer device in one embodiment;
FIG. 13 is a flow chart of querying client information that is not at a predetermined level in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
The client information query method provided by the application can be applied to an application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The server 104 receives a query request sent by the terminal 102, wherein the query request carries an operator identifier and a corresponding query condition; the server 104 searches the corresponding client information according to the query condition and obtains the client information level corresponding to the client information; the server 104 determines whether the client information level is a preset level, and when the client information level is the preset level, sends an authorization acquisition instruction to the terminal, wherein the authorization acquisition instruction carries an authorization identifier. And receiving the authority information corresponding to the authorization identifier returned by the terminal, verifying whether the authority information corresponding to the authorization identifier is correct, and sending the client information to the terminal when the authority information corresponding to the authorization identifier is correct. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smartphones, tablet computers, and portable wearable devices, and the server 104 may be implemented by a stand-alone server or a server cluster composed of a plurality of servers.
In one embodiment, as shown in fig. 2, a client information query method is provided, and the method is applied to the server in fig. 1 for illustration, and includes the following steps:
S202, receiving a query request sent by a terminal, wherein the query request carries an operator identifier and a corresponding query condition.
The operator identifier is used for uniquely identifying an operator, and the operator can be a business operator for developing insurance business or a manager of customer information. The query condition is a preset condition capable of searching the client information.
Specifically, the terminal receives a request that an operator logs in to the client information protection platform through the operator identifier, and logs in to the client information protection platform through the request terminal. When the terminal receives a query request of the client information through the client information protection platform, the query request carries an operator identifier and corresponding query conditions. For example: the operator identification may be the job number of the operator, the query condition may be a customer cell phone number or customer name, etc. And then the terminal sends the query request to the server, and the server receives the query request sent by the terminal to obtain the operator identification and the corresponding query condition.
S204, searching corresponding client information according to the query condition, and acquiring a client information level corresponding to the client information.
The customer information refers to the detailed information of the customer required by an insurance operator in the insurance industry when performing insurance business processing, such as personal basic information of the customer, property information of the customer, family information of the customer, and the like. The client information level reflects the importance of the client information, the higher the client information level, the more important the client information. The higher the customer information level, the higher the loss of customer information if leaked.
Specifically, the association relationship of the query condition, the client information and the client level is set in the database of the server in advance. And then inquiring the associated client information in the database by using the inquiring condition, and acquiring the corresponding client information level associated with the client information, such as inquiring the client information with a surname of XX, wherein the inquiring condition is set as the name of XX in the database of the server in advance, and the client information level is the association relation between the preset level and the client information. When inquiring, the client information of the client and the corresponding client information level can be inquired and found according to the name as the preset level.
S206, determining whether the client information level is a preset level, and when the client information level is the preset level, sending an authorization acquisition instruction to the terminal, wherein the authorization acquisition instruction carries an authorization identifier.
The preset level is the level of the most important client information in the client information, and when the client information of the preset level is leaked, significant loss is caused. The authorization identifier is a preset identifier capable of inquiring client information of a preset level, and the authorization identifier can be an upper-level identifier of an operator identifier.
Specifically, the level of the client information may be set in the server in advance, including a preset level and other levels, which refer to levels other than the preset level. When the client information level is obtained, judging whether the client information level is a preset level or not, namely judging whether the client information is the most important client information or not, and inquiring the client information of the preset level each time needs to be authorized for inquiring. When the client information level is a preset level, the server sends an authorization acquisition instruction to the terminal, wherein the authorization acquisition instruction carries an authorization identifier. For example: customer information levels including primary customer information, secondary customer information, tertiary customer information, etc. may be preset, wherein the preset level may be primary customer information, and the other levels may be secondary customer information and tertiary customer information. If the acquired client information level is the first-level client information, the server sends an authorization acquisition instruction to the terminal, wherein the authorization acquisition instruction carries an authorization identifier. The preset level may be primary customer information and secondary customer information, and the other level is tertiary customer information.
S208, receiving the authority information corresponding to the authorization identifier returned by the terminal, verifying whether the authority information corresponding to the authorization identifier is correct, and sending the client information to the terminal when the authority information corresponding to the authorization identifier is correct.
The authority information refers to information corresponding to the authorization identifier, and a corresponding relation between the authorization identifier and the authority information is preset in the server, wherein the authority information can be the authority identifier, namely a password, fingerprint information, face information and the like.
Specifically, when the terminal receives the authorization acquisition instruction, an authorization interface is generated at the terminal, the authorization identifier is displayed on the authorization interface, and at this time, an operator needs to input the permission identifier corresponding to the authorization identifier in the authorization interface. And when the terminal receives the authority identification corresponding to the authorization identification, the authority identification is sent to the server. When the server receives the authority identification, verifying whether the authority identification is correct or not, and verifying whether the acquired authority identification corresponds to the authority identification according to the corresponding relation between the authority identification and the authority information in the server. When the rights identification corresponds to the authorization identification, indicating that the rights identification is correct, the server returns the client information to be queried to the terminal. When the permission identification does not correspond to the authorization identification, indicating that the permission identification is wrong, the server returns a prompt of authorization failure to the terminal.
In one embodiment, when the terminal receives the authorization acquisition instruction, an authorization interface is generated, the authorization identifier is displayed on the authorization interface, an operator opens a camera on the terminal, the terminal acquires face information through the camera, and the acquired face information is sent to the server.
In one embodiment, when the terminal receives the authorization acquisition instruction, an authorization interface is generated, the authorization identifier is displayed on the authorization interface, an operator opens a fingerprint acquisition device connected with the terminal, the terminal acquires fingerprint information through the fingerprint acquisition device, and the fingerprint information is sent to the server.
In the client information query method, the query request sent by the receiving terminal carries the operator identifier and the corresponding query condition; searching corresponding client information according to the query condition, and acquiring a client information level corresponding to the client information; determining whether the client information level is a preset level, and when the client information level is the preset level, sending an authorization acquisition instruction to the terminal, wherein the authorization acquisition instruction carries an authorization identifier; and receiving the authority information corresponding to the authorization identifier returned by the terminal, verifying whether the authority information corresponding to the authorization identifier is correct, and sending the client information to the terminal when the authority information corresponding to the authorization identifier is correct. The client information of the preset level can be inquired after authorization, so that the leakage of the client information is prevented, and the safety of the client information is improved.
In one embodiment, as shown in fig. 13, after determining whether the client information level is a preset level, the steps further include:
s1302, when the client information level is not the preset level, determining whether the operator identification and the corresponding query condition are stored in the cache database, and when the operator identification and the corresponding query condition are not stored in the cache database, sending an authorization acquisition instruction to the terminal, wherein the authorization acquisition instruction carries the authorization identification.
The cache database is used for storing the operator identification and the corresponding query conditions, and can periodically clear the stored operator identification and the corresponding query conditions.
Specifically, when the client information level is not the preset level, that is, the client information level is other levels, the server judges whether the cached database stores the operator identifier and the corresponding query condition, and when the cached database does not store the operator identifier and the corresponding query condition, the server indicates that the operator identifier does not acquire the authorization yet, and at this time, the server sends an authorization acquisition instruction to the terminal, wherein the authorization acquisition instruction carries the authorization identifier.
In one embodiment, when the operator identifier and the corresponding query condition are stored in the cache database, the server directly returns the client information to the terminal when the operator identifier has acquired the authorization.
S1304, receiving the authority information corresponding to the authorization identifier returned by the terminal, verifying whether the authority information corresponding to the authorization identifier is correct, and sending the client information to the terminal when the authority information corresponding to the authorization identifier is correct.
Specifically, when the terminal receives the authorization acquisition instruction, an authorization interface is generated at the terminal, the authorization identifier is displayed on the authorization interface, and at this time, an operator needs to input the permission identifier corresponding to the authorization identifier in the authorization interface. And when the terminal receives the authority identification corresponding to the authorization identification, the authority identification is sent to the server. When the server receives the authority identification, verifying whether the authority identification is correct or not, and verifying whether the acquired authority identification corresponds to the authority identification according to the corresponding relation between the authority identification and the authority information in the server. When the rights identification corresponds to the authorization identification, indicating that the rights identification is correct, the server returns the client information to be queried to the terminal. When the permission identification does not correspond to the authorization identification, indicating that the permission identification is wrong, the server returns a prompt of authorization failure to the terminal. For example, when the operator is identified as "001" and the corresponding query condition is "name XX", and the cache database stores "001" and the corresponding "name XX", the client information indicating "name XX" is already authorized by the operator identified as "001" so that the operator of "001" can query the client information. When the cache database does not store "001" and the corresponding "name XX", then the operator of "001" is not authorized and needs to be re-authorized to query.
In the above embodiment, when the client information level is not the preset level, it is determined whether the operator identifier and the corresponding query condition are stored in the cache database, and when the operator identifier and the corresponding query condition are not stored in the cache database, an authorization acquisition instruction is sent to the terminal, where the authorization acquisition instruction carries an authorization identifier; and receiving the authority information corresponding to the authorization identifier returned by the terminal, verifying whether the authority information corresponding to the authorization identifier is correct, and sending the client information to the terminal when the authority information corresponding to the authorization identifier is correct. The client information of other levels can be obtained by inquiring through a periodical authorization method, so that the convenience of inquiring the client information is improved, the leakage of the client information can be prevented, and the safety of the client information is improved.
In one embodiment, as shown in fig. 3, after step S1304, that is, receiving the rights information corresponding to the authorization identifier returned by the terminal, verifying whether the rights information corresponding to the authorization identifier is correct, and when the rights information corresponding to the authorization identifier is correct, sending the client information to the terminal, further includes:
s302, the operator identification and the corresponding query condition association are written into a cache database.
Specifically, when the client information is of a level other than a preset level, after the first authorization acquisition, an authorization acquisition instruction is returned to the terminal, wherein the authorization acquisition instruction carries an authorization identifier, a password corresponding to the authorization identifier sent by the terminal is received, when the password is correct, the server writes the association of the operator identifier and the corresponding query condition into a cache database after the client information is returned to the terminal, records that the operator identifier and the corresponding query condition have acquired the authorization, and when the next query is performed, if the operator identifier and the corresponding query condition are stored in the cache database, the authorization is not needed again, and the client information corresponding to the query condition can be directly queried.
S304, deleting the operator identification and the corresponding query condition stored in the cache database at regular time according to the client information level.
In particular, depending on the level of customer information, the time at which the operator identification and corresponding query conditions are stored in the cache database is also different. Namely, the operator identification and the corresponding query conditions stored in the cache database are deleted regularly according to a preset time limit. When the operator identifier and the corresponding query condition in the cache database are deleted, the operator identifier needs to be re-authorized to query and obtain the client information when the client information is queried next time according to the corresponding query condition, and the operator identifier and the corresponding query condition are stored in the cache database after authorization. For example, the client information level may be divided into three levels, if the first level is a preset level, the time for which the operator identifier corresponding to the client information of the second level is stored in the cache database may be one day, and the time for which the operator identifier corresponding to the client information of the third level is stored in the cache database may be one week.
In the above embodiment, the operator identifier and the corresponding query condition stored in the cache database are deleted at regular time according to the client information level by writing the operator identifier and the corresponding query condition into the cache database. And the timing authorization inquiry is carried out according to the client information level, so that the convenience of client information inquiry is ensured to a certain extent, and the safety of client information is ensured.
In one embodiment, after receiving the password corresponding to the authorization identifier sent by the terminal, the method further includes:
and when the password is wrong, returning a prompt of failure to the terminal.
The password error means that the obtained password is different from the password corresponding to the authorization identifier stored in the server.
Specifically, when the password is verified to be wrong, the server returns the password to the terminal to inquire the failed prompt. After the terminal obtains the prompt, an operator can choose to inquire again, so that the leakage of the client information is prevented, and the safety of the client information is ensured.
In one embodiment, as shown in fig. 4, before step S202, before receiving the query request sent by the terminal, the method further includes:
s402, obtaining the client information, and grading the client information to obtain the client information level.
Specifically, when the server acquires the client information, the server classifies the acquired client information first, and divides the client information according to different specific contents of the client information to obtain client information levels.
S404, storing the client information and the corresponding client information level in an associated mode.
Specifically, the server stores the client information and the corresponding client information level association in a preset database, and when the client information needs to be queried, the server first obtains the authority corresponding to the client information level to query. For example, when the client information level is three-level, the client information and the corresponding client information level three-level association are stored in a preset database.
In the above embodiment, the client information is classified by acquiring the client information, so as to obtain the client information level, the client information and the corresponding client information level are associated and stored, and the client information is divided into different levels, so that the client information can be queried only after authorization, and the safety of the client information is ensured.
In one embodiment, step S402, that is, obtaining the client information, and grading the client information to obtain the client information level, includes:
And obtaining the client information, and grading the client information according to preset grading conditions to obtain the client information level, wherein the preset grading conditions comprise at least one of client premium level, client occupation level and client feedback information.
The premium is also called insurance, and is the fee paid by the insurance company according to the insurance contract. The customer feedback information refers to the information that the customer actively applies for or complains in the business process. The client occupation level refers to the level of the client occupation, and reflects the importance of the client occupation.
Specifically, the client information is obtained, the client information is classified according to preset classification conditions, the client information level is obtained, and the preset classification conditions comprise at least one of client premium level, client occupation level and client feedback information. For example, if the customer information is divided into three levels, the customer premium of the common profession is first level, second level, and third level. The first preset threshold value is greater than the second preset threshold value, and the first preset threshold value and the second preset threshold value can be freely set, for example, the first preset threshold value can be 100 ten thousand people and the second preset threshold value can be 50 ten thousand people and the first preset threshold value can be set freely. Special professions (e.g., government personnel, corporate high-level, network celebrities) may be rated according to the level of profession, e.g., network celebrities may be rated according to the number of fan-flour, government personnel may be rated according to the level of government profession, and corporate high-level may be rated according to annual revenue. When the client has feedback information, the level of the client information can be directly set according to the feedback information of the client.
In the above embodiment, the client information is classified according to the preset classification condition by acquiring the client information, so as to obtain the client information level. The client information can be classified more conveniently, and the convenience of client information classification is improved.
In one embodiment, as shown in fig. 5, step S402, namely, grading the client information to obtain a client information level, includes:
s502, acquiring client information, and obtaining corresponding client information feature vectors according to the client information, wherein the client information feature vectors comprise premium vectors.
Specifically, the server acquires the client information, calculates according to the client information to obtain a corresponding client information feature vector, and encodes the client information to form the client information feature vector. The customer information feature vector includes a premium vector, and may further include a career vector, a region vector, an age vector, an academic vector, and the like, and may be any combination of a premium vector, a career vector, a region vector, an age vector, and an academic vector.
The premium vector may be different grades according to the premium, each grade corresponds to an element in a vector, and elements corresponding to all grades form the premium vector. The premium grade in the customer information is obtained, and the premium grade and the grades except the premium grade are encoded to form the premium vector of the customer information. For example, the premium may be divided into three levels, and if the premium of the customer information is the second level, the other levels are encoded as 0. The second level is encoded as 1, and the constituent premium vector is [0,1,0].
The occupation vector can be different occupation categories according to different occupation settings, each occupation category corresponds to an element in the vector, and all the elements corresponding to the occupation categories form the occupation vector. Acquiring professions in the client information, finding corresponding professional categories according to the professions, and coding the professional categories and professional categories except the professional categories to form professional vectors of the client information. For example, if the set occupation category has six kinds, when the occupation of the client information is the occupation of the fifth category, the other occupation is coded as 0, and the occupation of the fifth category is coded as 1, the composed occupation vector is [0,0,0,0,1,0].
The age vector is formed by segmenting ages, each age group corresponds to an element in the vector, and all the elements corresponding to the age groups form the age vector. For example, 0 to 18 are an age group, 18 to 41 are an age group, 41 to 60 are an age group, and 60 are an age group. The age in the client information is obtained, the age bracket corresponding to the age is found, and the age bracket and the age brackets except the age bracket are encoded to form an age vector of the client information. For example, if the age in the client information is 20, the age is in the age range of 18 to 41, the other age ranges are encoded as 0, the age ranges of 18 to 41 are encoded as 1, and the composed age vector is [0,1, 0].
The academic vector can be obtained according to the height of the academy, the academy of each stage corresponds to elements in one vector, and all elements corresponding to the academy form the academy vector. For example, the academic may be classified into a family below, a family, a master, a doctor, and a doctor above. And acquiring an academy in the client information, and coding the academy and the academy except the academy to form an academy vector of the client information. For example, if the history in the client information is a master, the other history is encoded as 0, and the master history is encoded as 1, the composed history vector is [0,1, 0].
The region vectors can be obtained according to regions, for example, the regions in China are divided into western region, middle region and eastern region, which correspond to the elements in the vectors respectively, and the elements corresponding to all regions form the region vectors. And obtaining address information in the client information, finding a corresponding region according to the address information, and coding the region and regions except the region to form a region vector of the client information. If the region in the client information is the eastern region, the other regions are encoded as 0, and the eastern region is encoded as 1, the composed region vector is [0, 1].
When the client information feature vector includes the premium vector, the occupation vector, the age vector and the academic vector, the client information feature vector formed by the premium vector [0,1,0], the occupation vector [0,0,0,0,1,0], the age vector [0,1,0] and the academic vector [0,1,0] is [0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0].
When the client information feature vector includes a premium vector, a professional vector, an age vector, an academic vector and a regional vector, the client information feature vector formed by the premium vector [0,1,0], the professional vector [0,0,0,0,1,0], the age vector [0,1,0], the academic vector [0,1,0] and the regional vector [0, 1] is [0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,1].
S504, inputting the client information feature vector into a preset client information level model to obtain a client information level vector.
The preset client information level model refers to a preset machine learning model capable of obtaining client information level. The client information level vector is used to reflect the client information level, and the elements in the vector correspond to the client information level.
Specifically, the server inputs the client information feature vector into a preset client information level model to obtain a client information level vector. For example, the client information feature vector [0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0] composed of the premium vector, the occupation vector, the age vector, and the academic vector may be input to a preset client information level model, to obtain a client information level vector [0,1,0].
S506, obtaining the client information level according to the client information level vector.
Specifically, the level of the client information is obtained according to the corresponding relation between the element in the client information level vector and the client information level. The number of elements in the client information level vector corresponds to the number of levels of client information, for example, if the levels of client information are preset to be three levels, when the client information level vector is obtained to be [0,1,0], the element reflecting the client information level in the client information level vector is the second element, and the client information level is calculated to be two levels.
In the above embodiment, by acquiring the client information, the corresponding client information feature vector is obtained according to the client information, where the client information feature vector includes a premium vector, a occupation vector, an age vector, and an academic vector. And inputting the client information feature vector into a preset client information level model to obtain a client information level vector. And obtaining the client information level according to the client information level vector. So that the client information level can be obtained more accurately and conveniently.
In one embodiment, as shown in fig. 6, before step S502, that is, before acquiring the client information, the corresponding client information feature vector is obtained according to the client information, the method further includes:
S602, acquiring historical customer information and corresponding customer information levels, obtaining customer information feature vectors according to the historical customer information, and obtaining customer information level vectors according to the customer information levels.
Specifically, the historical client information and the corresponding client information level stored in the server are obtained, wherein the historical client information and the corresponding client information level can be obtained by grading the client information through preset grading conditions, and can also be obtained by manually setting the client information and the corresponding client information level. Then, a client information feature vector is obtained according to the historical client information, and a client information level vector is obtained according to the client information level, for example, a client information feature vector [0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0] and a corresponding client information level vector [0,1,0] acquired by the server through the historical client information and the corresponding client information level.
S604, taking the client information feature vector as input of the neural network model, and taking the client information level vector as output of the neural network model for training to obtain a preset client information level model.
The neural network model may use a feedforward neural network, and the activation function uses a RELU (linear rectification function, rectified Linear Unit) function f (x) =max (0, x).
Specifically, the client information feature vector is used as the input of the feedforward neural network, the client information level vector is used as the output of the neural network model to train, a plurality of groups of client information feature vectors and corresponding client information level vectors are trained, a large amount of historical client information and corresponding client information level data are used for training, and when training is completed, a preset client information level model is obtained. For example, a client information feature vector composed of a premium vector, a professional vector, an age vector, and an academic vector may be used as an input to the feedforward neural network, a client information level vector may be used as an output of the neural network model, and a preset client information level model composed of a premium vector, a professional vector, an age vector, and an academic vector may be obtained through a large amount of training. The client information feature vector formed by the premium vector, the professional vector, the age vector, the academic vector and the regional vector can be used as the input of the feedforward neural network, the client information level vector is used as the output of the neural network model for training, and the preset client information level model which takes the premium vector, the professional vector, the age vector, the academic vector and the regional vector as the input is obtained through a large amount of training.
In the above embodiment, the client information feature vector is obtained according to the historical client information by obtaining the historical client information and the corresponding client information level, the client information level vector is obtained according to the client information level, the client information feature vector is used as the input of the neural network model, and the client information level vector is used as the output of the neural network model to train, so as to obtain the preset client information level model. The client information level model can be set in advance, so that the client information level model is convenient to use directly and directly, the efficiency of obtaining the client information level is improved, and the client information level model is convenient to use.
It should be understood that, although the steps in the flowcharts of fig. 2-6 are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in fig. 2-6 may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor does the order in which the sub-steps or stages are performed necessarily occur in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
In one embodiment, as shown in fig. 7, there is provided a client information query apparatus 700 comprising: a request receiving module 702, a request receiving module 704, a level determining module 706, and an authorizing module 708, wherein:
the request receiving module 702 is configured to receive a query request sent by a terminal, where the query request carries an operator identifier and a corresponding query condition;
the level acquisition module 704 is configured to search corresponding client information according to the query condition, and acquire a client information level corresponding to the client information;
the level determining module 706 is configured to determine whether the client information level is a preset level, and when the client information level is the preset level, send an authorization acquisition instruction to the terminal, where the authorization acquisition instruction carries an authorization identifier;
and the authorization module 708 is used for receiving the authority information corresponding to the authorization identifier returned by the terminal, verifying whether the authority information corresponding to the authorization identifier is correct, and sending the client information to the terminal when the authority information corresponding to the authorization identifier is correct.
In one embodiment, the level determination module 706 further comprises:
and the cache determining module is used for determining whether the operator identifier and the corresponding query condition are stored in the cache database when the client information level is not the preset level, and sending an authorization acquisition instruction to the terminal when the operator identifier and the corresponding query condition are not stored in the cache database, wherein the authorization acquisition instruction carries the authorization identifier.
And the information sending module is used for receiving the authority information corresponding to the authorization identifier returned by the terminal, verifying whether the authority information corresponding to the authorization identifier is correct, and sending the client information to the terminal when the authority information corresponding to the authorization identifier is correct.
In one embodiment, the client information query apparatus 700 further comprises:
a writing module 802, configured to write the operator identifier and the corresponding query condition association into the cache database.
And the deleting module 804 is configured to delete the operator identifier and the corresponding query condition stored in the cache database at regular time according to the client information level.
In one embodiment, the client information query apparatus 700 further comprises:
and the grading module 902 is configured to obtain the client information, and grade the client information to obtain a client information grade.
And the storage module 904 is used for storing the client information and the corresponding client information level in an associated mode.
In one embodiment, the ranking module 902 includes:
the condition grading module is used for obtaining the client information, grading the client information according to preset grading conditions to obtain the client information grade, wherein the preset grading conditions comprise at least one of client premium, client occupation grade and client feedback information.
In one embodiment, the ranking module 902 includes:
the feature vector obtaining module 1002 is configured to obtain client information, and obtain a corresponding client information feature vector according to the client information, where the client information feature vector includes a premium vector.
The level vector obtaining module 1004 is configured to input the feature vector into a preset client information level model to obtain a client information level vector.
A level obtaining module 1006, configured to obtain the client information level according to the client information level vector.
In one embodiment, the ranking module 902 further comprises:
the vector obtaining module 1102 is configured to obtain historical client information and corresponding client information levels, obtain a client information feature vector according to the historical client information, and obtain a client information level vector according to the client information levels.
The training module 1104 is configured to train the client information feature vector as an input of the neural network model and the client information level vector as an output of the neural network model to obtain a preset client information level model.
The specific limitation of the client information query device may be referred to the limitation of the client information query method hereinabove, and will not be described herein. The respective modules in the above-described client information inquiry apparatus may be implemented in whole or in part by software, hardware, and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, and the internal structure of which may be as shown in fig. 12. The computer device includes a processor, a memory, a network interface, and a database 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 includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used to store customer information. 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 client information query method.
It will be appreciated by those skilled in the art that the structure shown in fig. 12 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory storing a computer program and a processor that when executing the computer program performs the steps of: receiving a query request sent by a terminal, wherein the query request carries an operator identifier and corresponding query conditions; searching corresponding client information according to the query condition, and acquiring a client information level corresponding to the client information; determining whether the client information level is a preset level, and when the client information level is the preset level, sending an authorization acquisition instruction to the terminal, wherein the authorization acquisition instruction carries an authorization identifier; and receiving the authority information corresponding to the authorization identifier returned by the terminal, verifying whether the authority information corresponding to the authorization identifier is correct, and sending the client information to the terminal when the authority information corresponding to the authorization identifier is correct.
In one embodiment, the processor when executing the computer program further performs the steps of: when the client information level is not the preset level, determining whether the operator identifier and the corresponding query condition are stored in the cache database, and when the operator identifier and the corresponding query condition are not stored in the cache database, sending an authorization acquisition instruction to the terminal, wherein the authorization acquisition instruction carries an authorization identifier; and receiving the authority information corresponding to the authorization identifier returned by the terminal, verifying whether the authority information corresponding to the authorization identifier is correct, and sending the client information to the terminal when the authority information corresponding to the authorization identifier is correct.
In one embodiment, the processor when executing the computer program further performs the steps of: the operator identification and the corresponding query condition are associated and written into a cache database; and deleting the operator identification and the corresponding query condition stored in the cache database at regular time according to the client information level.
In one embodiment, the processor when executing the computer program further performs the steps of: and obtaining the client information, and grading the client information to obtain the client information level. And storing the client information and the corresponding client information level in an associated mode.
In one embodiment, the processor when executing the computer program further performs the steps of: and obtaining the client information, and grading the client information according to preset grading conditions to obtain the client information level, wherein the preset grading conditions comprise at least one of client premium level, client occupation level and client feedback information.
In one embodiment, the processor when executing the computer program further performs the steps of: acquiring client information, and acquiring corresponding client information feature vectors according to the client information, wherein the client information feature vectors comprise premium vectors; inputting the feature vector into a preset client information level model to obtain a client information level vector; and obtaining the client information level according to the client information level vector.
In one embodiment, the processor when executing the computer program further performs the steps of: acquiring historical customer information and corresponding customer information levels, obtaining a customer information feature vector according to the historical customer information, and obtaining a customer information level vector according to the customer information levels; and training the client information feature vector serving as input of the neural network model and the client information level vector serving as output of the neural network model to obtain a preset client information level model.
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: receiving a query request sent by a terminal, wherein the query request carries an operator identifier and corresponding query conditions; searching corresponding client information according to the query condition, and acquiring a client information level corresponding to the client information; determining whether the client information level is a preset level, and when the client information level is the preset level, sending an authorization acquisition instruction to the terminal, wherein the authorization acquisition instruction carries an authorization identifier; and receiving the authority information corresponding to the authorization identifier returned by the terminal, verifying whether the authority information corresponding to the authorization identifier is correct, and sending the client information to the terminal when the authority information corresponding to the authorization identifier is correct.
In one embodiment, the computer program when executed by the processor further performs the steps of: when the client information level is not the preset level, determining whether the operator identifier and the corresponding query condition are stored in the cache database, and when the operator identifier and the corresponding query condition are not stored in the cache database, sending an authorization acquisition instruction to the terminal, wherein the authorization acquisition instruction carries an authorization identifier; and receiving the authority information corresponding to the authorization identifier returned by the terminal, verifying whether the authority information corresponding to the authorization identifier is correct, and sending the client information to the terminal when the authority information corresponding to the authorization identifier is correct.
In one embodiment, the computer program when executed by the processor further performs the steps of: the operator identification and the corresponding query condition are associated and written into a cache database; and deleting the operator identification and the corresponding query condition stored in the cache database at regular time according to the client information level.
In one embodiment, the computer program when executed by the processor further performs the steps of: and obtaining the client information, and grading the client information to obtain the client information level. And storing the client information and the corresponding client information level in an associated mode.
In one embodiment, the computer program when executed by the processor further performs the steps of: and obtaining the client information, and grading the client information according to preset grading conditions to obtain the client information level, wherein the preset grading conditions comprise at least one of client premium level, client occupation level and client feedback information.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring client information, and acquiring corresponding client information feature vectors according to the client information, wherein the client information feature vectors comprise premium vectors; inputting the feature vector into a preset client information level model to obtain a client information level vector; and obtaining the client information level according to the client information level vector.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring historical customer information and corresponding customer information levels, obtaining a customer information feature vector according to the historical customer information, and obtaining a customer information level vector according to the customer information levels; and training the client information feature vector serving as input of the neural network model and the client information level vector serving as output of the neural network model to obtain a preset client information level model.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.

Claims (10)

1. A method of customer information query, the method comprising:
receiving a query request sent by a terminal, wherein the query request carries an operator identifier and corresponding query conditions;
searching corresponding client information according to the query condition, and acquiring a client information level corresponding to the client information;
determining whether the client information level is a preset level, when the client information level is the preset level, sending an authorization acquisition instruction to the terminal, wherein the authorization acquisition instruction carries an authorization identifier, receiving the authorization acquisition instruction through the terminal, generating an authorization interface, displaying the authorization identifier on the authorization interface, acquiring fingerprint information through a fingerprint acquisition device in the terminal, and sending the fingerprint information to a server;
Receiving right information corresponding to the authorization identifier returned by the terminal, verifying whether the right information corresponding to the authorization identifier is correct according to the corresponding relation between the authorization identifier and the right information, and sending the client information to the terminal when the right information corresponding to the authorization identifier is correct;
and when the client information level is not the preset level, judging whether the operator identification and the corresponding query condition are stored in a cache database, and when the operator identification and the corresponding query condition are stored in the cache database, returning the client information to a terminal, and deleting the operator identification and the corresponding query condition stored in the cache database at regular time according to a preset time limit.
2. The method of claim 1, further comprising, after said determining if said customer information level is a preset level:
when the client information level is not a preset level, determining whether the operator identifier and the corresponding query condition are stored in a cache database, and when the operator identifier and the corresponding query condition are not stored in the cache database, sending an authorization acquisition instruction to the terminal, wherein the authorization acquisition instruction carries an authorization identifier;
And receiving the authority information corresponding to the authorization identifier returned by the terminal, verifying whether the authority information corresponding to the authorization identifier is correct, and sending the client information to the terminal when the authority information corresponding to the authorization identifier is correct.
3. The method according to claim 2, wherein after said receiving the rights information corresponding to the authorization identifier returned by the terminal, verifying whether the rights information corresponding to the authorization identifier is correct, and when the rights information corresponding to the authorization identifier is correct, sending the client information to the terminal, further comprises:
writing the operator identification and the corresponding query condition association into the cache database;
and deleting the operator identification and the corresponding query condition stored in the cache database at regular time according to the client information level.
4. The method according to claim 1, wherein before the receiving the query request sent by the terminal, the method further comprises:
acquiring client information, and grading the client information to obtain client information level;
and storing the client information and the corresponding client information level in an associated mode.
5. The method of claim 4, wherein the obtaining the customer information, and ranking the customer information to obtain a customer information level, comprises:
And obtaining client information, and grading the client information according to preset grading conditions to obtain client information levels, wherein the preset grading conditions comprise at least one of client premium, client occupation level and client feedback information.
6. The method of claim 4, wherein said ranking said customer information to obtain a customer information level comprises:
acquiring client information, and obtaining a corresponding client information feature vector according to the client information, wherein the client information feature vector comprises a premium vector;
inputting the client information feature vector into a preset client information level model to obtain a client information level vector;
and obtaining the client information level according to the client information level vector.
7. The method of claim 6, further comprising, prior to said obtaining customer information, obtaining a corresponding customer information feature vector from said customer information:
acquiring historical customer information and corresponding customer information levels, obtaining a customer information feature vector according to the historical customer information, and obtaining a customer information level vector according to the customer information levels;
and training the client information feature vector serving as input of the neural network model and the client information level vector serving as output of the neural network model to obtain a preset client information level model.
8. A customer information query apparatus, the apparatus comprising:
the request receiving module is used for receiving a query request sent by the terminal, wherein the query request carries an operator identifier and a corresponding query condition;
the level acquisition module is used for searching corresponding client information according to the query condition and acquiring a client information level corresponding to the client information;
the level determining module is used for determining whether the client information level is a preset level, when the client information level is the preset level, sending an authorization acquisition instruction to the terminal, wherein the authorization acquisition instruction carries an authorization identifier, receiving the authorization acquisition instruction through the terminal, generating an authorization interface, and displaying the authorization identifier on the authorization interface; acquiring fingerprint information through a fingerprint acquisition device in the terminal, and sending the fingerprint information to a server;
the authorization module is used for receiving the authority information corresponding to the authorization identifier returned by the terminal, verifying whether the authority information corresponding to the authorization identifier is correct according to the corresponding relation between the authorization identifier and the authority information, and sending the client information to the terminal when the authority information corresponding to the authorization identifier is correct; and when the client information level is not the preset level, judging whether the operator identification and the corresponding query condition are stored in a cache database, and when the operator identification and the corresponding query condition are stored in the cache database, returning the client information to a terminal, and deleting the operator identification and the corresponding query condition stored in the cache database at regular time according to a preset time limit.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
CN201810586226.2A 2018-06-06 2018-06-06 Client information query method, device, computer equipment and storage medium Active CN109033139B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810586226.2A CN109033139B (en) 2018-06-06 2018-06-06 Client information query method, device, computer equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810586226.2A CN109033139B (en) 2018-06-06 2018-06-06 Client information query method, device, computer equipment and storage medium

Publications (2)

Publication Number Publication Date
CN109033139A CN109033139A (en) 2018-12-18
CN109033139B true CN109033139B (en) 2023-06-27

Family

ID=64612488

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810586226.2A Active CN109033139B (en) 2018-06-06 2018-06-06 Client information query method, device, computer equipment and storage medium

Country Status (1)

Country Link
CN (1) CN109033139B (en)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109784089A (en) * 2018-12-19 2019-05-21 平安普惠企业管理有限公司 Guard method, device, storage medium and the electronic equipment of customer information
CN110070431A (en) * 2019-03-15 2019-07-30 平安科技（深圳）有限公司 User is counter to cheat implementation method, device, computer equipment and storage medium
CN110489632A (en) * 2019-07-23 2019-11-22 平安科技（深圳）有限公司 Related information querying method and device
CN111460298A (en) * 2020-03-31 2020-07-28 深圳市酷开网络科技有限公司 Service data processing method and device, computer equipment and storage medium
CN111538970B (en) * 2020-07-08 2020-12-22 德能森智能科技（成都）有限公司 Cloud platform system based on intelligent Internet of things
CN114598542A (en) * 2022-03-21 2022-06-07 深圳市远行科技股份有限公司 User information security processing method and device, intelligent terminal and storage medium

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106612250A (en) * 2015-10-21 2017-05-03 腾讯科技（深圳）有限公司 Resource utilization authority judgment system and method
CN107491463A (en) * 2016-07-21 2017-12-19 平安科技（深圳）有限公司 The optimization method and system of data query

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006190112A (en) * 2005-01-06 2006-07-20 Japan Research Institute Ltd Electronic settlement system, terminal for individual, terminal for member store, authentication/settlement apparatus, electronic settlement method and electronic settlement program
CN101471852A (en) * 2007-12-29 2009-07-01 中国银联股份有限公司 Method, system and client device for accessing high safety resource
US9026521B1 (en) * 2011-08-19 2015-05-05 Isaac S. Daniel System and method for conducting company searches and lead generation using company code index
CN102867155A (en) * 2012-08-22 2013-01-09 句容市盛世软件有限公司 Multiple-encryption and graded-management method for electronic files
CN103701611B (en) * 2013-12-30 2017-01-18 天地融科技股份有限公司 Method for accessing and uploading data in data storage system
CN107993146A (en) * 2018-01-25 2018-05-04 深圳市前海吉顺信科技发展有限公司 The air control method and system of financial big data

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106612250A (en) * 2015-10-21 2017-05-03 腾讯科技（深圳）有限公司 Resource utilization authority judgment system and method
CN107491463A (en) * 2016-07-21 2017-12-19 平安科技（深圳）有限公司 The optimization method and system of data query

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
SangYeob Na et al.Role delegation in role-based access control.《RBAC '00: Proceedings of the fifth ACM workshop on Role-based access control》.2000,第39–44页. *
覃章荣.缓存策略在用户权限管理中的研究与应用 .《计算机技术与发展》.2011,第21卷(第5期),第163-165，234页. *

Also Published As

Publication number Publication date
CN109033139A (en) 2018-12-18

Similar Documents

Publication Publication Date Title
CN109033139B (en) Client information query method, device, computer equipment and storage medium
CN108573371B (en) Data approval method, device, computer equipment and storage medium
US10564936B2 (en) Data processing systems for identity validation of data subject access requests and related methods
US10275614B2 (en) Data processing systems for generating and populating a data inventory
US10204154B2 (en) Data processing systems for generating and populating a data inventory
CN110377667B (en) Correlation map display method, device, computer equipment and storage medium
CN109816327B (en) Contract data processing method, apparatus, computer device and storage medium
WO2020186786A1 (en) File processing method and apparatus, computer device and storage medium
CN108829781B (en) Client information query method, device, computer equipment and storage medium
CN111027295B (en) Data processing method, device, computer equipment and storage medium
US11386224B2 (en) Method and system for managing personal digital identifiers of a user in a plurality of data elements
CN110362799B (en) On-line arbitration-based method and device for generating and processing resolution book and computer equipment
WO2021012571A9 (en) Data processing method and apparatus, computer device, and storage medium
CN110941630A (en) Database operation and maintenance method, device and system
CN110362542B (en) Nuclear power station file encoding method and device, computer equipment and storage medium
CN112860778B (en) Database management method, device, equipment and medium for desktop application program
WO2020232883A1 (en) Script defect scanning method and apparatus, computer device and storage medium
CN109670048B (en) Atlas construction method and apparatus based on wind control management and computer device
CN111709718A (en) Intelligent warranty asset service platform, method and storage medium based on artificial intelligence
CN110442654A (en) Promise breaking information query method, device, computer equipment and storage medium
CN110489416B (en) Information storage method based on data processing and related equipment
CN111541543A (en) Information verification method and device, computer equipment and storage medium
CN111708795B (en) Object identification generation method, object identification updating device, computer equipment and medium
CN111813842B (en) Data processing method, device, system, equipment and storage medium
CN112330472B (en) Service data processing method, device, computer equipment and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant