CN112488586A

CN112488586A - Management method and system of wind control early warning data, computer equipment and storage medium

Info

Publication number: CN112488586A
Application number: CN202011513719.7A
Authority: CN
Inventors: 韩舒亚
Original assignee: Weikun Shanghai Technology Service Co Ltd
Current assignee: Weikun Shanghai Technology Service Co Ltd
Priority date: 2020-12-18
Filing date: 2020-12-18
Publication date: 2021-03-12

Abstract

The invention relates to the technical field of big data, and discloses a management method and a system of wind control early warning data, computer equipment and a computer storage medium, wherein the method comprises the following steps: acquiring wind control early warning data from preset data sources, wherein the number of the preset data sources is more than one; formatting the collected wind control early warning data to obtain wind control early warning data to be used with a uniform data format; and extracting the wind control early warning data to be used according to the data relationship among the wind control early warning data to be used. In addition, the invention also relates to a block chain technology, and the wind control early warning data to be used can be stored in the block chain. The method and the system can enable the operation of collecting the wind control early warning data to be simpler and easy to operate and maintain, reduce the overall development cost of automatic wind control early warning, improve the expansibility and maintainability of wind control early warning data collection, quickly complete the service development requirement and ensure the development efficiency.

Description

Management method and system of wind control early warning data, computer equipment and storage medium

Technical Field

The invention relates to the technical field of big data, in particular to a management method and a management system of wind control early warning data, computer equipment and a computer storage medium.

Background

The wind control early warning is a very core component in the wind control business, and an analysis result is obtained by collecting related data and carrying out calculation analysis on the data, so that potential risks can be found in advance to carry out timely early warning on the risks, wind control business personnel can take corresponding measures through the early warning, and further risks are effectively avoided. The existing automatic wind control early warning is mainly based on the fact that the operation such as data collection, calculation and analysis is automatically carried out on the basis of a program, and then a corresponding early warning result is given out, so that the manual operation of wind control service personnel can be saved to a great extent, potential problems can be found more timely than manual work, and the wind control early warning method is an effective means for improving the working efficiency of wind control early warning.

In the process of automatically executing the wind control early warning by a program, data acquisition is the basic operation of the whole wind control early warning work. The traditional wind control early warning data acquisition mode is that data are respectively acquired from a single data source, so that the data acquired from different data sources are the same in data type and data format, and corresponding data analysis codes have to be written according to different data in the subsequent wind control early warning operation so as to analyze the data of various types or formats and then carry out calculation and logic judgment.

In summary, the existing data acquisition method for wind control early warning needs to compile a variety of data analysis codes, so that the development cost is high and the data source expansion is difficult to realize.

Disclosure of Invention

The invention mainly aims to provide a management method and device of wind control early warning data, computer equipment and a computer storage medium, and aims to solve the technical problems that various data analysis codes need to be compiled, the development cost is high and the data source expansion is difficult to realize in the existing data acquisition mode for wind control early warning.

In order to achieve the above object, an embodiment of the present invention provides a management method for wind control early warning data, where the management method for wind control early warning data includes:

acquiring wind control early warning data from preset data sources, wherein the number of the preset data sources is more than one;

formatting the collected wind control early warning data to obtain wind control early warning data to be used with a uniform data format;

and extracting the wind control early warning data to be used according to the data relationship among the wind control early warning data to be used.

Optionally, the step of extracting the to-be-used wind control early warning data according to a data relationship between the to-be-used wind control early warning data includes:

detecting common characteristics of the wind control early warning data to be used;

determining the data relation among the wind control early warning data to be used according to the common characteristics;

and extracting one or more target data in the wind control early warning data to be used according to the data relation.

Optionally, the step of collecting wind-control early warning data from a preset data source includes:

establishing communication connection with each preset data source;

and continuously collecting wind control early warning data from each preset data source based on the communication connection.

Optionally, the step of formatting the collected wind control early warning data to obtain wind control early warning data to be used with a uniform data format includes:

determining a preset target data format, and taking first wind control early warning data with a data format of the preset target data format in each wind control early warning data as wind control early warning data to be used;

formatting second wind control early warning data of which the data format is not the preset target data format in the wind control early warning data according to the preset target data format;

and taking the second wind control early warning data with the data formats which are obtained through formatting as the preset target data format as the wind control early warning data to be used.

Optionally, the to-be-used wind-controlled early warning data is stored in a block chain,

after the step of formatting the collected wind control early warning data to obtain wind control early warning data to be used with a uniform data format, the method further includes:

and storing each wind control early warning data to be used into the block chain for calling.

Optionally, after the step of extracting the wind control early warning data to be used according to the data relationship between the wind control early warning data to be used, the method further includes:

early warning is carried out according to the extracted wind control data to be used;

the step of carrying out early warning according to the extracted wind control data to be used comprises the following steps:

calculating according to the extracted wind control data to be used to obtain a wind control early warning index;

matching the wind control early warning index with a signal triggering condition corresponding to a preset wind control early warning signal to judge whether the wind control early warning index meets the signal triggering condition;

and if so, triggering the preset wind control early warning signal.

Optionally, after the step of obtaining the wind control early warning indicator by calculating according to the extracted wind control data to be used, the method further includes:

distributing the wind control early warning indexes to preset service evaluation systems, wherein the number of the preset service evaluation systems is greater than or equal to one;

and receiving a wind control analysis result fed back by the preset service evaluation system based on the wind control early warning index, and carrying out wind control early warning according to the wind control analysis result.

In addition, in order to achieve the above object, the present invention further provides a management system of wind control early warning data, including:

the data acquisition module is used for acquiring wind control early warning data from preset data sources, wherein the number of the preset data sources is more than one;

the formatting module is used for formatting the collected wind control early warning data to obtain wind control early warning data to be used with a uniform data format;

and the data extraction module is used for extracting the wind control early warning data to be used according to the data relationship among the wind control early warning data to be used.

Further, to achieve the above object, the present invention also provides a computer apparatus comprising: a memory, a processor, a communication bus, and a hypervisor of wind-controlled early warning data stored on the memory,

the communication bus is used for realizing communication connection between the processor and the memory;

the processor is used for executing the management program of the wind control early warning data so as to realize the following steps:

Further, to achieve the above object, the present invention also provides a computer storage medium storing one or more programs executable by one or more processors for:

According to the management method, the management system, the computer equipment and the calculation storage medium of the wind control early warning data, the wind control early warning data are collected from the preset data sources, wherein the number of the preset data sources is more than one; formatting the collected wind control early warning data to obtain wind control early warning data to be used with a uniform data format; and extracting the wind control early warning data to be used according to the data relationship among the wind control early warning data to be used.

When wind control early warning data for automatically executing wind control early warning are required to be collected, wind control early warning data are collected from a plurality of preset data sources respectively, then, the wind control early warning data collected from the plurality of preset data sources respectively are subjected to unified format processing, so that wind control early warning data to be used with unified data formats are obtained, and finally, the wind control early warning data to be used are extracted according to the data relationship among the wind control early warning data to be used for the subsequent automatic wind control early warning process.

The method and the device realize the collection of the wind control early warning data from multiple data sources and the uniform formatting processing of the data types of the wind control early warning data collected from each data source, so that compared with the traditional method that the wind control early warning data is collected by writing data analysis codes for different types of data, the wind control early warning can be realized.

In addition, when a data source for collecting the wind control early warning data needs to be expanded based on development requirements, service developers only need to develop a corresponding data interface according to formatted input and output without paying attention to how to process the data collected from a new data source, namely, without compiling complicated data analysis codes and the like aiming at the data type of the new data source, so that the expansibility and maintainability of wind control early warning data collection are effectively improved, the service development requirements can be quickly completed, and the development efficiency of automatically executing the wind control early warning is ensured.

Drawings

FIG. 1 is a schematic structural diagram of a hardware operating environment of a computer device according to a method of an embodiment of the present invention;

fig. 2 is a schematic flow chart illustrating a method for managing wind-controlled early warning data according to an embodiment of the present invention;

fig. 3 is a functional module diagram of the management system of the wind-controlled early warning data according to the present invention.

The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.

Detailed Description

It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

The main solution of the embodiment of the invention is as follows: acquiring wind control early warning data from preset data sources, wherein the number of the preset data sources is more than one; formatting the collected wind control early warning data to obtain wind control early warning data to be used with a uniform data format; and extracting the wind control early warning data to be used according to the data relationship among the wind control early warning data to be used.

Because the wind control early warning is a very core component in the wind control business, an analysis result is obtained by collecting related data and carrying out calculation analysis on the data, potential risks can be found in advance so as to carry out timely early warning on the risks, and wind control business personnel can take corresponding measures through the early warning, so that the risks are effectively avoided. The existing automatic wind control early warning is mainly based on the fact that the operation such as data collection, calculation and analysis is automatically carried out on the basis of a program, and then a corresponding early warning result is given out, so that the manual operation of wind control service personnel can be saved to a great extent, potential problems can be found more timely than manual work, and the wind control early warning method is an effective means for improving the working efficiency of wind control early warning.

According to the solution provided by the invention, when wind control early warning data for automatically executing wind control early warning are required to be acquired, wind control early warning data are respectively acquired from a plurality of preset data sources, then unified format processing is carried out on the wind control early warning data respectively acquired from the plurality of preset data sources so as to obtain wind control early warning data to be used with unified data format, and finally, the wind control early warning data to be used are extracted according to the data relation among the wind control early warning data to be used for the subsequent automatic wind control early warning process.

As shown in fig. 1, fig. 1 is a schematic device structure diagram of a hardware operating environment of a computer device according to an embodiment of the present invention.

The computer equipment of the embodiment of the invention can be terminal equipment such as a PC, a smart phone, a tablet computer, a portable computer and the like.

As shown in fig. 1, the computer apparatus may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.

Optionally, the computer device may further include a camera, RF (Radio Frequency) circuitry, sensors, audio circuitry, a WiFi module, and the like. Such as light sensors, motion sensors, and other sensors. In particular, the light sensor may include an ambient light sensor that adjusts the brightness of the display screen based on the ambient light level and a proximity sensor that turns off the display screen and/or backlight when the device is moved to the ear. As one of the motion sensors, the gravity acceleration sensor can detect the magnitude of acceleration in each direction (generally, three axes), detect the magnitude and direction of gravity when the device is stationary, and can be used for applications of recognizing the device posture (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; of course, the mobile terminal may also be configured with other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which are not described herein again.

Those skilled in the art will appreciate that the device architecture shown in fig. 1 is not intended to be limiting as the computer device may include more or less components than shown, or some components may be combined, or a different arrangement of components in other embodiments.

As shown in fig. 1, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a management program of the wind-controlled warning data.

In the computer device shown in fig. 1, the network interface 1004 is mainly used for connecting to a backend server and communicating with the backend server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and the processor 1001 may be configured to call a management program of the wind-controlled early warning data stored in the memory 1005, and perform the following steps:

Further, the processor 1001 may be configured to call a management program of the wind-controlled early warning data stored in the memory 1005, and further perform the following steps:

establishing communication connection with each preset data source;

Further, each to-be-used wind control early warning data is stored in a blockchain, and the processor 1001 may be configured to call a management program of the wind control early warning data stored in the memory 1005, and after executing the step of performing formatting processing on each collected wind control early warning data to obtain each to-be-used wind control early warning data with a uniform data format, further execute the following steps:

Further, the processor 1001 may be configured to invoke a management program of the wind-control early warning data stored in the memory 1005, and after the step of extracting the wind-control early warning data to be used according to the data relationship between the wind-control early warning data to be used is executed, further execute the following steps:

the processor 1001 may be configured to invoke a hypervisor of the wind-controlled early warning data stored in the memory 1005, and further perform the following steps:

and if so, triggering the preset wind control early warning signal.

Further, the processor 1001 may be configured to invoke a management program of the wind-control early warning data stored in the memory 1005, and after the step of obtaining the wind-control early warning index by performing calculation according to the extracted wind-control data to be used is performed, further perform the following steps:

The specific embodiment of the computer device related to the management method of the wind-controlled early warning data of the present invention is substantially the same as each specific embodiment of the management method of the wind-controlled early warning data described below, and is not described herein again.

The invention provides a management method of wind control early warning data.

Referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of a management method of wind-controlled early warning data according to the present invention, in this embodiment, the management method of wind-controlled early warning data includes:

step S100, collecting wind control early warning data from preset data sources, wherein the number of the preset data sources is more than one;

it should be noted that, in this embodiment, the preset data source may be any data platform including data related to the wind control object in the market, for example, the preset data source may specifically be an enterprise database of the wind control object, an enterprise data statistics platform, a database of a government related enterprise operation supervision department, and the like. It should be understood that, based on different design requirements of practical applications, in other possible embodiments, the preset data source may also be other data platforms that are not listed in this implementation, and the management method of the wind-controlled early warning data of the present invention is not specifically limited to the type of the preset data source.

In addition, in this embodiment, the number of the preset data sources may be greater than or equal to one, so that the terminal device may acquire the wind control early warning data related to the wind control object from the plurality of data sources.

The terminal equipment is in communication connection with multiple data sources in advance, so that wind control early warning data in different data formats are acquired from the multiple data sources respectively and used for subsequent automatic execution of wind control early warning.

Further, in a possible embodiment, the step S100 may include:

step S101, establishing communication connection with each preset data source;

and S102, continuously acquiring wind control early warning data from each preset data source based on the communication connection.

The terminal equipment establishes communication connection with multiple data sources through the preset program interface, so that the terminal equipment can respectively acquire wind control early warning data with different data formats from the multiple data sources through the established communication connection for subsequent automatic execution of wind control early warning.

Specifically, for example, in this embodiment, the terminal device negotiates a data collection protocol with a management terminal for managing enterprise data with a wind-controlled object in advance under authorization of the wind-controlled object, then, the terminal device transmits a data collection request to the management terminal through the program preset interface, after the management terminal passes the request (authorization of the wind-controlled object) according to the data collection protocol negotiated in advance, the terminal device establishes a communication connection with an enterprise database of the wind-controlled object, and similarly, the terminal device can establish a communication connection with a special enterprise data statistics platform on the market, a database of a government-related enterprise operation supervision department, and the like at the same time, so that the terminal device can determine, from the enterprise database, the enterprise data statistics platform, and the database of the government-related enterprise operation supervision department, and acquiring wind control early warning data of multiple data types or multiple data formats for subsequent automatic execution of wind control early warning.

Step S200, formatting the collected wind control early warning data to obtain wind control early warning data to be used with a uniform data format;

after the terminal device acquires the wind control early warning data with different data formats from the multiple data sources, the terminal device formats the wind control early warning data with the multiple data formats into a uniform data format according to a fixed data structure, and the uniform data format is used as the wind control early warning data to be used, which can be called directly for automatically executing wind control early warning.

Further, in a possible embodiment, the step S200 may include:

step S201, determining a preset target data format, and taking first wind control early warning data of each wind control early warning data, wherein the data format of the first wind control early warning data is the preset target data format, as wind control early warning data to be used;

it should be noted that, in this embodiment, the preset target data format may be a data structure that is previously configured by the terminal device based on the configuration of the service developer.

After acquiring the wind control early warning data with different data formats, the terminal device determines a preset target data format into which the wind control early warning data are required to be formatted at present, and then the terminal device further screens out all first wind control early warning data with the same data format as the preset target data format from the wind control early warning data, so that all the first wind control early warning data are directly used as follow-up wind control early warning data to be used for automatically executing wind control early warning.

Specifically, for example, in this embodiment, a service developer who receives, develops, and automatically executes a wind control early warning service, pre-constructs an entity class (an entity class formed by attributes such as a monitoring unit class, data change time, and data type identifier) through a computer programming language by the terminal device, and determines a data format of wind control early warning data carried by the entity class as a target data format. And then, the terminal equipment directly uses all the first wind control early warning data with the data format being the target data format from the wind control early warning data with different data types or different data formats acquired from the plurality of data sources as part of the wind control early warning data to be used, which can be subsequently directly called to automatically execute wind control early warning.

Step S202, formatting second wind control early warning data, the data format of which is not the preset target data format, in the wind control early warning data according to the preset target data format;

step S203, using the second wind control early warning data with the data format obtained through formatting as the preset target data format as the to-be-used wind control early warning data.

The method comprises the steps that the terminal equipment determines a preset target data format which is formed by formatting each wind control early warning data currently, and after all first wind control early warning data in the wind control early warning data, which have the same data format as the preset target data format, are used as wind control early warning data to be used which can be called directly later, then all second wind control early warning data in the wind control early warning data, which have the same data format as the preset target data format, are subjected to unified formatting according to the determined preset target data format, and then all second wind control early warning data which are subjected to formatting processing and have the same data format as the preset target data format are also used as wind control early warning data to be used which can be called directly later and automatically to execute wind control early warning.

Specifically, for example, in this embodiment, the terminal device uses an entity class pre-established by a service developer through a computer programming language to carry out the bearing on the wind control early warning data of different data types or different data formats acquired from a plurality of data sources, where the data format and all the second wind control early warning data of a certain target data format are in the data format, so that the data format of the second wind control early warning data can be processed into the same format as the target data format, and finally, the terminal device can use all the second wind control early warning data of the same format as the target data format of the formatted data format as another part of the to-be-used wind control early warning data that can be subsequently and directly called to automatically execute the wind control early warning.

It should be noted that, in this embodiment, the terminal device performs formatting processing on the collected wind control early warning data of different data types or different data formats, which may be any mature data formatting processing mode at any time. It should be understood that, based on different design requirements of actual applications, in other feasible embodiments, the terminal device may certainly adopt different data formatting processing manners, and the management method of the wind-control early warning data of the present invention is not specifically limited to the manner in which the terminal device formats the collected wind-control early warning data of different data types or different data formats.

And S300, extracting the wind control early warning data to be used according to the data relationship among the wind control early warning data to be used.

After the terminal device formats the various wind control early warning data in the multiple data formats into a uniform data format according to a fixed data structure and uses the uniform data format as the wind control early warning data to be used, the terminal device can extract a certain wind control early warning data or simultaneously extract a plurality of wind control early warning data to be used according to the data relationship between the wind control early warning data to be used for automatically executing wind control early warning.

It should be noted that, in this embodiment, the data relationship may be a relationship that represents a common characteristic between two pieces of wind control early warning data collected from different data sources.

Further, in a possible embodiment, the step S300 may include:

step S301, detecting common characteristics of the wind control early warning data to be used;

it should be noted that, in this embodiment, the common features are the same features that the wind control early warning data acquired from different data sources all have, or the wind control early warning data all identify the same data index.

When the terminal equipment extracts the wind control early warning data to be used based on the requirement of automatically executing the wind control early warning, common characteristics of the wind control early warning data to be used are detected firstly.

Specifically, for example, in the present embodiment, the wind control early warning data to be used, which is obtained by the terminal device after collecting the wind control early warning data from a plurality of data sources and performing formatting processing on the wind control early warning data, is the standby data 1, the standby data 2, and the standby data 3, so that when the terminal device needs to extract the standby data 1, the standby data 2, and/or the standby data 3 while performing wind control early warning on the wind control object a on the basis of automation, it is detected whether the standby data 1, the standby data 2, and the standby data 3 all represent the wind control early warning indexes of the wind control object a, such as the operational condition, the annual income, and the like.

Step S302, determining the data relation among the wind control early warning data to be used according to the common characteristics;

and the terminal equipment determines that the wind control early warning data to be used have a data relationship which is associated with each other according to the detected common characteristics of the wind control early warning data to be used.

Specifically, for example, in the present embodiment, the terminal device detects that, of the data to be used 1, the data to be used 2, and the data to be used 3, only the operation condition of the wind-controlled object a and the annual income of the wind-controlled object a are to be characterized by the data to be used 1, and the data to be used 2 represents other wind-controlled early warning indexes of the wind-controlled object b, so that the terminal device determines that the data to be used 1 and the data to be used 2 have an association relationship with each other.

Step S303, one or more target data in the wind control early warning data to be used are extracted according to the data relation.

After determining that the wind control early warning data to be used have a data relationship which is mutually associated, the terminal equipment extracts the unique wind control early warning data to be used according to the data relationship for automatically executing wind control early warning, or extracts the wind control early warning data to be used which are mutually associated as target data for automatically executing wind control early warning.

Specifically, for example, in the present embodiment, when the standby data 1, the standby data 2, and/or the standby data 3 need to be extracted based on the automated execution of the wind-controlled warning on the wind-controlled object a, the terminal device extracts the standby data 1 and the standby data 2 together as the target data for the automated execution of the wind-controlled warning on the wind-controlled object a in accordance with the already determined association relationship between the standby data 1 and the standby data 2.

Or when the terminal device needs to extract the standby data 1, the standby data 2 and/or the standby data 3 based on the automatic execution of the wind control early warning on the wind control object a, because it has been detected that only the data 3 to be used represents the wind control early warning index related to the wind control object b, the terminal device extracts the standby data 3 at this time as the target data for the automatic execution of the wind control early warning on the wind control object a.

Further, in a feasible embodiment, each to-be-used wind control early warning data is stored in a block chain, and after formatting is performed on each acquired wind control early warning data to obtain each to-be-used wind control early warning data with a uniform data format in step S200, the method for managing wind control early warning data of the present invention may further include:

and S400, storing each wind control early warning data to be used into the block chain for calling.

It should be noted that, in this embodiment, a service developer developing a wind control early warning service to be automatically executed may store each standby wind control early warning data with a uniform data format in a stable storage space (e.g., a block chain), so that when a terminal device subsequently extracts the to-be-used wind control early warning data, a management instruction may be automatically obtained from the storage space.

After the terminal device formats the various wind control early warning data in the multiple data formats into a uniform data format as the wind control early warning data to be used according to the fixed data structure, the wind control early warning data to be used can be stored persistently so as to be called when the wind control early warning is executed automatically in the follow-up process.

Specifically, for example, in this embodiment, the terminal device acquires the wind control early warning data from multiple data sources, and formats the wind control early warning data to obtain the wind control early warning data to be used with a uniform data format: after the data 1 to be used, the data 2 to be used and the data 3 to be used, the terminal device can store the data 1 to be used, the data 2 to be used and the data 3 to be used in a same database table, and write the database table into the block chain nodes configured in advance for writing and storing, thereby realizing the persistent storage of the data 1 to be used, the data 2 to be used and the data 3 to be used.

In this embodiment, a service developer developing an automatic wind control early warning service stores wind control early warning data to be used in a unified data format in a node of a block chain, so that not only is the stability of the wind control early warning data to be used ensured, but also the response enthusiasm of subsequent terminal equipment when the wind control early warning data to be used is extracted is ensured, and the accuracy of the automatic execution of the wind control early warning according to the wind control early warning data to be used is ensured.

In the embodiment, the terminal device establishes communication connection with multiple data sources in advance, so that wind control early warning data with different data formats are acquired from the multiple data sources respectively and used for subsequent automatic execution of wind control early warning; after the terminal equipment acquires the wind control early warning data with different data formats from the multiple data sources, the terminal equipment formats the wind control early warning data with the multiple data formats into a uniform data format according to a fixed data structure, and the uniform data format is used as the wind control early warning data to be used, which can be called directly for automatically executing wind control early warning; after the terminal device formats the various wind control early warning data in the multiple data formats into a uniform data format according to a fixed data structure and uses the uniform data format as the wind control early warning data to be used, the terminal device can extract a certain wind control early warning data or simultaneously extract a plurality of wind control early warning data to be used according to the data relationship between the wind control early warning data to be used for automatically executing wind control early warning.

Further, based on the first embodiment of the management method of the wind control early warning data of the present invention, a second embodiment of the management method of the wind control early warning data of the present invention is provided, in this embodiment, after the wind control early warning data to be used is extracted according to the data relationship between the wind control early warning data to be used in step S300, the management method of the wind control early warning data of the present invention may further include:

and S500, early warning is carried out according to the extracted wind control data to be used.

After the wind control data to be used are extracted and obtained by the terminal equipment, calculation can be carried out based on the wind control data to be used so as to judge whether a corresponding wind control early warning signal is triggered to automatically carry out wind control early warning.

It should be noted that, in this embodiment, the terminal device may pre-define a judgment threshold of the wind control early warning condition corresponding to each wind control early warning signal, and compare a result of performing calculation analysis on the wind control early warning data to be used with the judgment threshold to automatically perform the wind control early warning.

Specifically, for example, the terminal device sets an operation profit threshold capable of lending to the wind-controlled object a in advance based on the operation condition of the wind-controlled object a, and then, after calculating and analyzing the operation condition of the wind-controlled object a based on the extracted target data (standby data 1 and standby data 2) together, if it is detected that the operation condition of the wind-controlled object a (such as the operation profit value of the past year) is smaller than the operation profit threshold, the terminal device determines that lending cannot be performed to the wind-controlled object a, or, after the lending amount needs to be reduced, lending cannot be performed to the wind-controlled object a.

Further, in a possible embodiment, the step S500 may include:

step S501, calculating according to the extracted wind control data to be used to obtain a wind control early warning index;

after extracting the wind control early warning data to be used as target data, the terminal equipment calculates and analyzes the target data based on self calculation service calculation to obtain a wind control early warning index.

Specifically, for example, in the present embodiment, when the terminal device extracts the standby data 3 as the target data to automatically perform the wind control early warning for the wind control object b, the standby data 3 is specifically: and the wind control object b has respective operation profits in the current year and the previous year. Thus, after extracting the standby data 3, the terminal device, through the standby data 3: the method comprises the following steps of calculating respective operation profits of a wind control object b in the current year and the previous year, and calculating a difference value of the respective operation profits of the wind control object b in the current year and the previous year to determine a wind control early warning index of the wind control object b, namely, if the difference value of the respective operation profits of the wind control object b in the current year and the previous year is calculated to be positive by a terminal device, determining the wind control early warning index of the wind control object b to be: the early warning severity is < not severe >; or, if the difference value of the operation profits of the wind control object b in the current year and the previous year is zero, the wind control early warning index of the wind control object b is determined as follows: the early warning severity is < severe >; or, if the difference between the operation profits of the wind control object b in the current year and the operation profits of the wind control object b in the previous year is negative, determining that the wind control early warning index of the wind control object b is: the early warning severity is < very severe >.

Step S502, matching the wind control early warning index with a signal triggering condition corresponding to a preset wind control early warning signal to judge whether the wind control early warning index meets the signal triggering condition;

and step S503, if yes, triggering the preset wind control early warning signal.

It should be noted that, in this embodiment, the preset wind control early warning signal is an information description of a terminal device receiving a wind control early warning signal related to wind control early warning configured by a service developer, so that the generated wind control early warning signal is configured in a preset database. The information description may specifically be the name of the warning signal, signal coding, warning severity, whether a prompt is output for warning, and the like. It should be understood that, based on different design requirements of practical applications, in other possible embodiments, the description of the wind control early warning information may also be other than what is listed in this embodiment, and the content of the description of the wind control early warning information is not specifically limited by the wind control early warning method of the present invention.

And after the terminal equipment calculates and analyzes the wind control early warning index, matching the wind control early warning index with the configured signal triggering condition of the wind control early warning signal so as to judge whether the wind control early warning index meets the signal triggering condition, and automatically triggering the wind control early warning signal when the wind control early warning index meets the signal triggering condition.

Specifically, for example, the wind control early warning index of the terminal device using the wind control object b based on the self computing service is as follows: the early warning severity is < very severe >, and based on the wind control early warning index: the early warning severity is < very severe >, and after the wind control early warning signal 1 containing the description information of the early warning severity and the signal triggering condition 1 corresponding to the wind control early warning signal 1 are read from the database, the signal triggering condition 1 of the wind control early warning signal 1 is as follows: the method comprises the steps that a trigger threshold value ' early warning severity reaches < severe > ', and trigger logic information ' if the early warning severity reaches < severe > or < severe >, an early warning signal is triggered and a prompt is output to give an alarm, so that the terminal equipment judges that a wind control early warning index with the early warning severity of < severe > is larger than the trigger threshold value and is equal to the trigger logic information, and therefore the terminal equipment determines that the wind control early warning index meets a signal trigger condition 1, and further the terminal equipment automatically triggers the wind control early warning signal to push early warning information to related users.

It should be noted that, in this embodiment, the terminal device may determine whether the wind control early warning indicator meets the signal triggering condition of the wind control early warning signal by defining a value corresponding to each information description in the wind control early warning signal, and then determining the value corresponding to the calculated wind control early warning indicator and the value corresponding to the description information.

Specifically, for example, for the description information of "early warning severity" in the wind control early warning signal 1, the terminal device defines a corresponding value "0" for the early warning severity as < non-severe >, defines a corresponding value "1" for the early warning severity as < severe >, defines a corresponding value "2" for the early warning severity as < severe >, defines a corresponding value "3" for the early warning severity as < very severe >, and thus calculates the wind control early warning index of the wind control object 1 as follows: after the early warning severity is < very severe >, the value corresponding to the wind control early warning index can be automatically adapted to be 3, and then the terminal device determines that the obtained wind control early warning index meets the signal triggering condition 1 by judging whether the value 3 is greater than or equal to each value of the description information of the early warning severity in the wind control early warning signal 1.

In the embodiment, the triggering judgment logics of different types of early warning data are unified into a common magnitude value comparison logic, so that the processing modes of multiple data sources and multiple types of data are unified, and the wind control efficiency of automatically executing wind control early warning is improved.

Further, in another possible embodiment, in the step S501, after the wind control early warning index is obtained by calculating according to the extracted wind control data to be used, the method for managing wind control early warning data according to the present invention may further include:

step S504, distributing the wind control early warning indexes to preset service evaluation systems, wherein the number of the preset service evaluation systems is greater than or equal to one;

and step S505, receiving a wind control analysis result fed back by the preset service evaluation system based on the wind control early warning index, and performing wind control early warning according to the wind control analysis result.

It should be noted that, in the present embodiment, the preset service evaluation system may be a system specially adapted to evaluate whether a specific service is approved, such as a credit line evaluation system, a credit decision evaluation system, and so on. The terminal equipment can be in butt joint with other preset service evaluation systems in advance, so that evaluation feedback of more dimensions is received when automatic wind control early warning is carried out on a wind control object. In addition, in this embodiment, the number of the preset service evaluation systems is greater than or equal to one, it should be understood that, based on different design requirements of practical applications, in different feasible embodiments, the terminal device may be connected to different types and numbers of preset service evaluation systems, and the management method of the wind-control early warning data of the present invention does not specifically limit the type, number, connection mode, and the like of the preset service evaluation systems connected to the terminal device.

After the terminal device calculates and analyzes the wind control early warning index based on the extracted wind control early warning data to be used, the wind control early warning index is distributed and transmitted to other connected preset service evaluation systems so that the preset service evaluation systems can respectively feed back a wind control analysis result after evaluating based on the wind control early warning index, and then the terminal device determines to execute corresponding wind control early warning operation according to the wind control analysis result.

Specifically, for example, when the terminal device calculates the wind control early warning indicator of the wind control object b based on its own computing service, the wind control early warning indicator is: after the early warning severity is < very severe >, the wind control early warning index can be further: the early warning severity degree is < very severe > and is transmitted to a pre-butted loan amount evaluation system, so that the loan amount evaluation system can carry out loan to a wind-controlled object after determining how much loan amount needs to be reduced currently based on the operation profit value of the wind-controlled object b in the past year, then the loan amount needing to be reduced is obtained through evaluation and is fed back to the terminal equipment as a wind-controlled analysis result, and after the terminal equipment receives the wind-controlled analysis result, if the loan amount is compared to be larger than or equal to a preset allowable loan amount reduction threshold value, the terminal equipment determines to trigger a wind-controlled early warning signal and pushes early warning information to related users.

In this embodiment, after the wind control early warning data to be used is extracted as target data by the terminal device, the target data is calculated and analyzed based on the calculation service calculation of the terminal device to obtain a wind control early warning index, after the wind control early warning index is calculated and analyzed based on the extracted wind control early warning data to be used by the terminal device, the wind control early warning index is distributed and transmitted to other connected preset service evaluation systems to allow the preset service evaluation systems to respectively perform evaluation based on the wind control early warning index and then feed back a wind control analysis result, and then the terminal device determines to execute corresponding wind control early warning operation according to the wind control analysis result. Therefore, the analysis result analyzed by the wind control early warning data is shared by other systems to comprehensively judge the wind control early warning, and the wind control early warning efficiency is further improved.

In addition, the present invention further provides a management system of wind control early warning data, please refer to fig. 3, where fig. 3 is a schematic diagram of functional modules of the management system of wind control early warning data of the present invention, and the management system of wind control early warning data includes:

the data acquisition module 101 is configured to acquire wind control early warning data from preset data sources, where the number of the preset data sources is greater than one;

the formatting module 102 is configured to perform formatting processing on the collected wind control early warning data to obtain wind control early warning data to be used, which are in a uniform data format;

and the data extraction module 103 is configured to extract the to-be-used wind control early warning data according to a data relationship between the to-be-used wind control early warning data.

Optionally, the data extraction module 103 includes:

the detection unit is used for detecting the common characteristics of the wind control early warning data to be used;

the first determining unit is used for determining the data relationship among the wind control early warning data to be used according to the common characteristics;

and the first extraction unit is used for extracting one or more target data in the wind control early warning data to be used according to the data relation.

Optionally, the data acquisition module 101 includes:

the connection unit is used for establishing communication connection with each preset data source simultaneously;

and the acquisition unit is used for continuously acquiring wind control early warning data from each preset data source based on the communication connection.

Optionally, the formatting module 102 includes:

the second determining unit is used for determining a preset target data format and taking first wind control early warning data of each wind control early warning data, the data format of which is the preset target data format, as wind control early warning data to be used;

the formatting processing unit is used for formatting second wind control early warning data, of which the data format is not the preset target data format, in the wind control early warning data according to the preset target data format;

and the marking unit is used for taking the second wind control early warning data with the data formats which are obtained through formatting as the preset target data format as the wind control early warning data to be used.

Optionally, each to-be-used wind-controlled early warning data is stored in a block chain, and the management system for the wind-controlled early warning data further includes:

and the persistent storage module is used for storing the wind control early warning data to be used into the block chain for calling.

Optionally, the management system of the wind-controlled early warning data further includes:

the wind control early warning module is used for early warning according to the extracted wind control data to be used;

the wind accuse early warning module includes:

the second extraction unit is used for calculating according to the extracted wind control data to be used to obtain a wind control early warning index;

the judging unit is used for matching the wind control early warning index with a signal triggering condition corresponding to a preset wind control early warning signal so as to judge whether the wind control early warning index meets the signal triggering condition;

and the triggering unit is used for triggering the preset wind control early warning signal if the preset wind control early warning signal is true.

Optionally, the wind-controlled early warning module further includes:

the sharing unit is used for distributing the wind control early warning indexes to preset service evaluation systems, wherein the number of the preset service evaluation systems is greater than or equal to one;

and the early warning unit is used for receiving a wind control analysis result fed back by the preset service evaluation system based on the wind control early warning index and carrying out wind control early warning according to the wind control analysis result.

The specific implementation of the management system of the wind control early warning data of the present invention is basically the same as that of each embodiment of the management method of the wind control early warning data, and is not described herein again.

Furthermore, the present invention also provides a computer storage medium storing one or more programs, the one or more programs further executable by one or more processors for:

acquiring a table structure of a database table, and comparing the table structure to obtain the same field, wherein the database table comprises a service table and an interface table;

generating a structured query statement according to the format data of the business table and the same field;

copying the structured query statement to the interface table and executing to insert data in the interface table.

Further, the database table is stored in a blockchain, the table structure including a business table structure of the business table and an interface table structure of the interface table, the one or more programs further executable by the one or more processors for:

extracting the service table and the interface table from the block chain;

and calling a preset table structure export tool to export the service table structure from the service table and export the interface table structure from the interface table.

In addition, the one or more programs may be further configured to, after being executed by the one or more processors to compare the table structures to obtain the same field name, further:

and detecting a special format field in the same field, and generating a structured query statement according to the custom configuration corresponding to the special format field and the format data of the service table.

and determining a special field of the interface table according to the table structure, and inserting preset custom data into the special field of the interface table.

The specific implementation of the computer storage medium of the present invention is substantially the same as the embodiments of the management method of the wind-controlled early warning data, and is not described herein again.

It should be noted that the blockchain in the present invention is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, and encryption algorithm. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like. Further, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.

The above description is only an alternative embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims

1. A management method for wind control early warning data is characterized by comprising the following steps:

2. The method for managing wind-controlled early warning data according to claim 1, wherein the step of extracting the wind-controlled early warning data to be used according to the data relationship between the wind-controlled early warning data to be used comprises:

3. The method for managing wind-controlled early warning data according to claim 1, wherein the step of collecting wind-controlled early warning data from a preset data source includes:

establishing communication connection with each preset data source;

4. The method for managing wind-controlled early warning data according to claim 1, wherein the step of formatting the collected wind-controlled early warning data to obtain wind-controlled early warning data to be used with a uniform data format includes:

5. The method for managing wind-controlled early warning data according to any one of claims 1 to 4, wherein each of the wind-controlled early warning data to be used is stored in a block chain,

6. The method for managing wind-controlled early warning data according to claim 1, wherein after the step of extracting the wind-controlled early warning data to be used according to the data relationship between the wind-controlled early warning data to be used, the method further comprises:

and if so, triggering the preset wind control early warning signal.

7. The method for managing wind-controlled early warning data according to claim 6, wherein after the step of calculating the wind-controlled early warning index according to the extracted wind-controlled data to be used, the method further comprises:

8. A management system of wind-control early warning data is characterized by comprising:

9. A computer device, characterized in that the computer device comprises: a memory, a processor, a communication bus, and a hypervisor of wind-controlled early warning data stored on the memory,

the processor is used for executing the management program of the internet-based wind-controlled early warning data to realize the steps of the management method of the wind-controlled early warning data according to any one of claims 1 to 7.

10. A computer storage medium, characterized in that the computer storage medium stores thereon a management program of wind-controlled early warning data, and the management program of wind-controlled early warning data implements the steps of the management method of wind-controlled early warning data according to any one of claims 1 to 7 when executed by a processor.