CN112541690A - Wind control early warning method, system, computer equipment and computer storage medium - Google Patents

Wind control early warning method, system, computer equipment and computer storage medium Download PDF

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CN112541690A
CN112541690A CN202011514193.4A CN202011514193A CN112541690A CN 112541690 A CN112541690 A CN 112541690A CN 202011514193 A CN202011514193 A CN 202011514193A CN 112541690 A CN112541690 A CN 112541690A
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early warning
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韩舒亚
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Weikun Shanghai Technology Service Co Ltd
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Abstract

The invention relates to the technical field of big data, and discloses a wind control early warning method, a wind control early warning system, computer equipment and a computer storage medium, wherein the method comprises the following steps: configuring a wind control early warning signal and configuring a signal triggering condition for triggering the wind control early warning signal in a preset database; acquiring external data and calculating according to the external data to obtain a wind control early warning index; and if the wind control early warning index is judged to accord with the signal triggering condition configured in the database, triggering the wind control early warning signal corresponding to the signal triggering condition in the database. In addition, the invention also relates to a block chain technology, and a preset management instruction for managing the wind control early warning signal and the signal triggering condition can be stored in the block chain. The method and the device have the advantages that the automatic execution of the wind control early warning is simpler, and the wind control early warning efficiency is improved when the wind control early warning signal and/or the signal triggering condition are expanded and maintained subsequently.

Description

Wind control early warning method, system, computer equipment and computer storage medium
Technical Field
The invention relates to the technical field of big data, in particular to a wind control early warning method, a wind control early warning system, 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, the description of one early warning is called an early warning signal, and the judgment of whether the early warning signal triggers is called early warning judgment logic. In a traditional wind control early warning system, description of early warning signals and early warning judgment logic are realized in a code compiling mode, so that the complexity of codes required to be operated by the system is high, the early warning signals are difficult to expand due to the limitation of the codes, the original codes need to be modified when the existing early warning signals need to be modified based on business requirements, and the development time of business developers is seriously occupied.
In conclusion, the existing automatic wind control early warning mode is complex in realization and difficult to perform early warning extension and maintenance, so that the early warning efficiency is low.
Disclosure of Invention
The invention mainly aims to provide a wind control early warning method, a wind control early warning device, computer equipment and a computer storage medium, and aims to solve the technical problems that the existing automatic wind control early warning mode is complex in realization and difficult in early warning expansion and maintenance, so that the early warning efficiency is low.
In order to achieve the above object, an embodiment of the present invention provides a wind control early warning method, where the wind control early warning method includes:
configuring a wind control early warning signal and configuring a signal triggering condition for triggering the wind control early warning signal in a preset database;
acquiring external data and calculating according to the external data to obtain a wind control early warning index;
and if the wind control early warning index is judged to accord with the signal triggering condition configured in the database, triggering the wind control early warning signal corresponding to the signal triggering condition in the database.
Optionally, the step of configuring a wind-control early warning signal in a preset database and configuring a signal triggering condition for triggering the wind-control early warning signal includes:
receiving preset wind control early warning information description, and configuring and generating a wind control early warning signal in the database according to the wind control early warning information description;
and receiving trigger condition information description aiming at the wind control early warning signal, and configuring and generating a signal trigger condition corresponding to the wind control early warning signal in the database according to the trigger condition information description.
Optionally, the step of acquiring external data and calculating a wind control early warning index according to the external data includes:
acquiring external data from preset data sources, wherein the number of the preset data sources is more than or equal to one;
screening target wind control data belonging to the same wind control object from the external data;
and calculating the target wind control data to obtain a wind control early warning index of the wind control object.
Optionally, if it is determined that the wind-control early warning indicator meets the signal triggering condition configured in the database, the step of triggering the wind-control early warning signal corresponding to the signal triggering condition in the database includes:
reading the wind control early warning signal and the signal triggering condition corresponding to the wind control early warning signal from the database according to the wind control early warning index;
matching the wind control early warning index with the signal triggering condition to judge whether the wind control early warning index meets the signal triggering condition;
and if so, triggering the wind control early warning signal.
Optionally, the method further comprises:
and acquiring a preset management instruction, and performing corresponding management operation on the wind control early warning signal and/or the signal triggering condition in the database according to the preset management instruction.
Optionally, the preset management instruction is stored in a block chain, and the management operation includes: modifying the wind-controlled early warning signal and/or the signal triggering condition, deleting the wind-controlled early warning signal and/or the signal triggering condition,
the step of acquiring a preset management instruction and performing corresponding management operation on the wind control early warning signal and/or the signal triggering condition in the database according to the preset management instruction comprises the following steps:
acquiring a preset management instruction from the block chain;
determining a target wind control early warning signal and/or a target signal triggering condition pointed by the preset management instruction in all the wind control early warning signals and all the signal triggering conditions configured in the database;
modifying the target wind control early warning signal and/or the target signal triggering condition in the database according to the preset management instruction; alternatively, the first and second electrodes may be,
and deleting the target wind control early warning signal and/or the target signal triggering condition in the database according to the preset management instruction.
Optionally, after the step of obtaining the preset management instruction, the method further includes:
and configuring a new wind control early warning signal and/or a new signal triggering condition in the database according to the preset management instruction.
In addition, in order to achieve the above object, the present invention further provides a wind-controlled early warning system, including:
the early warning configuration module is used for configuring a wind control early warning signal in a preset database and configuring a signal triggering condition for triggering the wind control early warning signal;
the data acquisition module is used for acquiring external data and calculating according to the external data to obtain a wind control early warning index;
and the signal triggering module is used for triggering the wind control early warning signal corresponding to the signal triggering condition in the database if the wind control early warning index is judged to accord with the signal triggering condition configured in the database.
Further, to achieve the above object, the present invention also provides a computer apparatus comprising: a memory, a processor, a communication bus, and a wind-controlled early warning program 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 wind control early warning program to realize the following steps:
configuring a wind control early warning signal and configuring a signal triggering condition for triggering the wind control early warning signal in a preset database;
acquiring external data and calculating according to the external data to obtain a wind control early warning index;
and if the wind control early warning index is judged to accord with the signal triggering condition configured in the database, triggering the wind control early warning signal corresponding to the signal triggering condition in the database.
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:
configuring a wind control early warning signal and configuring a signal triggering condition for triggering the wind control early warning signal in a preset database;
acquiring external data and calculating according to the external data to obtain a wind control early warning index;
and if the wind control early warning index is judged to accord with the signal triggering condition configured in the database, triggering the wind control early warning signal corresponding to the signal triggering condition in the database.
According to the wind control early warning method, the wind control early warning system, the computer equipment and the calculation storage medium, the wind control early warning signal is configured in the preset database, and the signal triggering condition for triggering the wind control early warning signal is configured; acquiring external data and calculating according to the external data to obtain a wind control early warning index; and if the wind control early warning index is judged to accord with the signal triggering condition configured in the database, triggering the wind control early warning signal corresponding to the signal triggering condition in the database.
In the process of automatically executing wind control early warning, various wind control early warning signals aiming at a wind control object are configured in a database in advance, signal triggering conditions corresponding to the various wind control early warning signals are configured in the database, then external data related to the wind control object are collected, wind control early warning indexes of the wind control object are obtained through calculation according to the external data, finally, judgment is carried out according to the wind control early warning indexes, and when the wind control early warning indexes are judged to accord with one signal triggering condition configured in the database, the wind control early warning signals which are also configured in the database and correspond to the signal triggering condition are automatically triggered.
The method and the device realize that the wind control early warning is implemented more simply and the wind control early warning efficiency is improved to a great extent when the wind control early warning signal and/or the signal triggering condition are expanded and maintained subsequently by adopting a unified code compiling mode aiming at the description and judgment logic of the early warning model in the prior art.
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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 wind-controlled early warning method according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an application scenario according to an embodiment of the table structure reduction method of the present invention;
fig. 4 is a functional module schematic diagram of the wind-controlled early warning system of 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: configuring a wind control early warning signal and configuring a signal triggering condition for triggering the wind control early warning signal in a preset database; acquiring external data and calculating according to the external data to obtain a wind control early warning index; and if the wind control early warning index is judged to accord with the signal triggering condition configured in the database, triggering the wind control early warning signal corresponding to the signal triggering condition in the database.
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, the description of one early warning is called an early warning signal, and the judgment of whether the early warning signal triggers is called early warning judgment logic. In a traditional wind control early warning system, description of early warning signals and early warning judgment logic are realized in a code compiling mode, so that the complexity of codes required to be operated by the system is high, the early warning signals are difficult to expand due to the limitation of the codes, the original codes need to be modified when the existing early warning signals need to be modified based on business requirements, and the development time of business developers is seriously occupied.
In conclusion, the existing automatic wind control early warning mode is complex in realization and difficult to perform early warning extension and maintenance, so that the early warning efficiency is low.
According to the solution provided by the invention, in the process of automatically executing wind control early warning, various wind control early warning signals aiming at a wind control object are configured in a database in advance, signal triggering conditions corresponding to the various wind control early warning signals are configured in the database, then, external data related to the wind control object are collected, wind control early warning indexes of the wind control object are obtained through calculation according to the external data, finally, the wind control early warning indexes are judged, and when the wind control early warning indexes are judged to accord with a certain signal triggering condition configured in the database, the wind control early warning signals which are also configured in the database and correspond to the signal triggering condition are automatically triggered.
The method and the device realize that the wind control early warning is implemented more simply and the wind control early warning efficiency is improved to a great extent when the wind control early warning signal and/or the signal triggering condition are expanded and maintained subsequently by adopting a unified code compiling mode aiming at the description and judgment logic of the early warning model in the prior art.
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 wind-controlled early warning program.
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 the wind-controlled early warning program stored in the memory 1005, and perform the following steps:
configuring a wind control early warning signal and configuring a signal triggering condition for triggering the wind control early warning signal in a preset database;
acquiring external data and calculating according to the external data to obtain a wind control early warning index;
and if the wind control early warning index is judged to accord with the signal triggering condition configured in the database, triggering the wind control early warning signal corresponding to the signal triggering condition in the database.
Further, the processor 1001 may be configured to call the wind-controlled early warning program stored in the memory 1005, and further perform the following steps:
receiving preset wind control early warning information description, and configuring and generating a wind control early warning signal in the database according to the wind control early warning information description;
and receiving trigger condition information description aiming at the wind control early warning signal, and configuring and generating a signal trigger condition corresponding to the wind control early warning signal in the database according to the trigger condition information description.
Further, the processor 1001 may be configured to call the wind-controlled early warning program stored in the memory 1005, and further perform the following steps:
acquiring external data from preset data sources, wherein the number of the preset data sources is more than or equal to one;
screening target wind control data belonging to the same wind control object from the external data;
and calculating the target wind control data to obtain a wind control early warning index of the wind control object.
Further, the processor 1001 may be configured to call the wind-controlled early warning program stored in the memory 1005, and further perform the following steps:
reading the wind control early warning signal and the signal triggering condition corresponding to the wind control early warning signal from the database according to the wind control early warning index;
matching the wind control early warning index with the signal triggering condition to judge whether the wind control early warning index meets the signal triggering condition;
and if so, triggering the wind control early warning signal.
Further, the processor 1001 may be configured to call the wind-controlled early warning program stored in the memory 1005, and further perform the following steps:
and acquiring a preset management instruction, and performing corresponding management operation on the wind control early warning signal and/or the signal triggering condition in the database according to the preset management instruction.
Further, the preset management instruction is stored in a block chain, and the management operation includes: modifying the wind-controlled early warning signal and/or the signal triggering condition, and deleting the wind-controlled early warning signal and/or the signal triggering condition, the processor 1001 may be configured to call a wind-controlled early warning program stored in the memory 1005, and further perform the following steps:
acquiring a preset management instruction from the block chain;
determining a target wind control early warning signal and/or a target signal triggering condition pointed by the preset management instruction in all the wind control early warning signals and all the signal triggering conditions configured in the database;
modifying the target wind control early warning signal and/or the target signal triggering condition in the database according to the preset management instruction; alternatively, the first and second electrodes may be,
and deleting the target wind control early warning signal and/or the target signal triggering condition in the database according to the preset management instruction.
Further, the processor 1001 may be configured to call a wind-controlled early warning program stored in the memory 1005, and after executing the preset management instruction, further execute the following steps:
and configuring a new wind control early warning signal and/or a new signal triggering condition in the database according to the preset management instruction.
The specific embodiment of the computer device related to the wind control early warning method of the present invention is substantially the same as each specific embodiment of the following wind control early warning method, and is not described herein again.
The invention provides a wind control early warning method.
Referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of a wind control early warning method according to the present invention, in this embodiment, the wind control early warning method includes:
step S100, configuring a wind control early warning signal and configuring a signal triggering condition for triggering the wind control early warning signal in a preset database;
it should be noted that, in this embodiment, the preset database may be any type of database preset by the terminal device that automatically executes the wind-control early warning. Specifically, for example, the database may be a solid-state storage device built in the terminal device, or the database may also be a third-party database of the terminal device based on a communication connection. It should be understood that, based on different design requirements of practical applications, in other possible embodiments, the database may also be a storage device or a third-party database different from that listed in this embodiment, and the wind-controlled early warning method of the present invention is not specifically limited to the type of the database.
The terminal equipment receives related information for wind control early warning, which is configured and input by staff developing an automatic wind control early warning service, and configures a wind control early warning signal in advance in a preset database according to the related information and correspondingly judges whether a signal triggering condition of the wind control early warning signal is triggered.
Further, in a possible embodiment, the step S100 may include:
step S101, receiving a preset wind control early warning information description, and configuring and generating a wind control early warning signal in the database according to the wind control early warning information description;
it should be noted that, in this embodiment, the preset wind control early warning information description is one of the related information for wind control early warning configured and input by the staff developing the automated wind control early warning service, and the wind control early warning information description may specifically be a name of an early warning signal, a signal code, an early warning severity, whether to output a prompt 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.
The terminal equipment outputs a visual user graphical interface to a worker through a front-end screen so as to receive the wind control early warning information description configured and input by the worker based on the user graphical interface, and then the terminal equipment configures and generates a wind control early warning signal which the worker wants to configure in a preset database according to the wind control early warning information description to store.
Specifically, for example, please refer to the application scenario shown in fig. 3, the terminal device outputs a visual graphical user interface to a worker through a front-end screen, and the worker developing the automatic wind-control early warning service may describe, based on the visual output graphical user interface, information related to the wind-control early warning signal 1 that the worker desires to configure: the name of the early warning signal, the signal code, the early warning severity, whether the output prompt gives an alarm and the like are configured into an executable SQL script, the terminal equipment automatically executes the SQL script after receiving the signal based on the graphical user interface, and therefore the name of the early warning signal, the signal code, the early warning severity and whether the output prompt gives an alarm and is integrated to form a follow-up triggerable wind control early warning signal 1 which is stored in the built-in solid state storage equipment.
Step S102, receiving trigger condition information description aiming at the wind control early warning signal, and configuring and generating a signal trigger condition corresponding to the wind control early warning signal in the database according to the trigger condition information description.
It should be noted that, in this embodiment, for the description of the triggering condition information of the wind control early warning signal, that is, the triggering threshold of the wind control early warning signal, the triggering logic information of the early warning signal, and the like, specifically, the description of the triggering condition information may be that the triggering threshold of the early warning signal may be: triggering the early warning signal when the early warning severity reaches a set first degree, wherein triggering logic information of the early warning signal is as follows: and if the early warning severity reaches a set second degree, triggering an early warning signal and outputting a prompt to warn. It should be understood that, based on different design requirements of practical applications, in other possible embodiments, the description of the triggering condition information for the wind-controlled early warning signal may also be other than what is listed in this embodiment, and the wind-controlled early warning method of the present invention is not specifically limited to the content described in the triggering condition information.
The terminal equipment receives the triggering condition information description which is configured and input by the staff based on the user graphical interface through the user graphical interface which is visually output to the staff through the front-end screen, then the terminal equipment generates a signal triggering condition for judging whether to trigger the wind control early warning signal for the corresponding wind control early warning signal configuration according to the triggering condition information description in a preset database.
Specifically, for example, please refer to the application scenario shown in fig. 3, the terminal device outputs a visual graphical user interface to a worker through a front-end screen, and the worker developing the automatic development of the automatic wind-controlled early warning service may configure and input the description of the information related to the wind-controlled early warning signal 1 based on the visually output graphical user interface, and simultaneously describe the trigger condition information of the wind-controlled early warning signal 1: "the triggering threshold of the wind-control early warning signal 1 is: the method comprises the steps that an early warning severity reaches < severe > ", if the early warning severity reaches < severe > or < severe >, an early warning signal is triggered and a prompt is output to give an alarm, and triggering logic information of the wind control early warning signal 1 is also configured into an executable signal triggering SQL script, so that after the terminal equipment is configured to generate the wind control early warning signal 1, the received signal triggering SQL script is automatically executed to describe and configure the triggering condition information of the wind control early warning signal 1 into a signal triggering condition 1 of the wind control early warning signal 1, and the signal triggering condition 1 and the wind control early warning signal 1 are stored in a built-in solid-state storage device in an associated mode for subsequent calling.
S200, acquiring external data and calculating according to the external data to obtain a wind control early warning index;
after the terminal equipment configures and generates each wind control early warning signal and the respective signal triggering condition of each wind control early warning signal in the database, the terminal equipment starts to acquire external data related to a wind control object and calculates the wind control early warning index of the wind control object by utilizing the external data based on self calculation service.
It should be noted that, in this embodiment, a specific calculation process of the terminal device for calculating the wind-controlled object early warning index based on the self-calculation service may be correspondingly designed based on different design requirements of practical applications, and the wind-controlled early warning method of the present invention is not specifically limited to the calculation process of the self-calculation service of the terminal device.
Further, in a possible embodiment, the step S200 may include:
step S201, collecting external data from preset data sources, wherein the number of the preset data sources is more than or equal to 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 wind-controlled early warning method of the present invention is not specifically limited to the type of the preset data source.
In addition, the number of the preset data sources may be greater than or equal to one, that is, the terminal device may establish communication connection with multiple data sources at the same time, for example, the terminal device may connect an enterprise database of the wind-controlled object (in case of authorization of the wind-controlled object), an enterprise data statistics platform, a database of a government-related enterprise operation supervision department, and the like at the same time through the preset program interface, so that the terminal device may acquire external data related to the wind-controlled object from the multiple data sources.
In addition, the external data may specifically be enterprise operation data related to the wind control object. It should be understood that, in other possible embodiments, the external data may also be other types of data related to the wind-controlled object, and the wind-controlled early warning method of the present invention is not specifically limited to the data type of the external data.
Specifically, for example, the terminal device is connected to an enterprise database of the wind-controlled object (in case of authorization of the wind-controlled object), an enterprise data statistics platform, and a database of a government-related enterprise operation supervision department through a preset program interface, and then the terminal device starts to continuously acquire enterprise operation data of each wind-controlled object from the enterprise database, the enterprise data statistics platform, and the database of the government-related enterprise operation supervision department.
Step S202, screening out target wind control data belonging to the same wind control object from the external data;
step S203, calculating the target wind control data to obtain a wind control early warning index of the wind control object.
After acquiring external data from a plurality of data sources, the terminal equipment firstly screens the external data to obtain target wind control data belonging to the same wind control object, then uses the target sub-control data as to-be-processed wind control data for calculating the wind control early warning index of the wind control object, and finally calculates the wind control early warning index of the wind control object based on self calculation service.
Specifically, for example, referring to the application scenario shown in fig. 3, the terminal device filters out the enterprise operation data of the wind-controlled object 1 from the external data collected from multiple data sources: the wind-controlled object 1 has respective operating profits of the current year and the previous year. Therefore, after acquiring the enterprise operation data, the terminal device determines the wind control early warning index of the wind control object 1 by calculating the difference between the operation profits of the wind control object 1 in the current year and the operation profits of the previous year, that is, if the difference between the operation profits of the wind control object 1 in the current year and the operation profits of the previous year is calculated to be positive, the wind control early warning index of the wind control object 1 is determined to be: the early warning severity is < not severe >; or, if the difference between the operation profits of the wind control object 1 in the current year and the operation profits of the previous year calculated by the terminal device is zero, determining that the wind control early warning index of the wind control object 1 is as follows: the early warning severity is < severe >; or, if the difference between the operation profits of the wind control object 1 in the current year and the operation profits of the previous year is negative, the wind control early warning index of the wind control object 1 is determined to be: the early warning severity is < very severe >.
Step S300, if the wind control early warning index is judged to accord with the signal triggering condition configured in the database, triggering the wind control early warning signal corresponding to the signal triggering condition in the database.
The terminal equipment calculates the wind control early warning index of the wind control object by utilizing external data based on self calculation service, and then immediately judges whether the wind control early warning index meets a signal triggering condition corresponding to any one wind control early warning signal configured in the database, so that when the wind control early warning index is judged to meet the signal triggering condition, the wind control early warning signal corresponding to the signal triggering condition in the database is automatically triggered.
Further, in a possible embodiment, the step S300 may include:
step S301, reading the wind control early warning signal and the signal triggering condition corresponding to the wind control early warning signal from the database according to the wind control early warning index;
after the terminal device calculates the wind control early warning index of the wind control object by utilizing external data based on the self calculation service, the terminal device reads the wind control early warning signal corresponding to the wind control early warning index and the signal triggering condition corresponding to the wind control early warning signal from the database through the wind control early warning index.
Specifically, for example, the wind control early warning indicator of the wind control object 1 calculated by the terminal device is: the early warning severity is < very severe >. Therefore, the terminal device reads the wind control early warning signal 1 containing the description information of the early warning severity from the plurality of wind control early warning signals stored in the database according to the early warning severity, and synchronously extracts the signal triggering condition 1 corresponding to the wind control early warning signal 1.
Step S302, matching the wind control early warning index with the signal triggering condition to judge whether the wind control early warning index meets the signal triggering condition;
and step S303, if yes, triggering the wind control early warning signal.
After the terminal equipment reads the wind control early warning signal and the signal triggering condition of the wind control early warning signal from the database through the wind control early warning index, the terminal equipment matches the wind control early warning index with the signal triggering condition to judge whether the wind control early warning index meets the signal triggering condition, and therefore when the wind control early warning index meets the signal triggering condition, the wind control early warning signal is automatically triggered.
Specifically, for example, referring to the application scenario shown in fig. 3, the terminal device utilizes the enterprise operation data of the wind-controlled object 1 based on its own computing service: the operation profits of the wind control object 1 in the current year and the previous year are respectively calculated, so that the wind control early warning index of the wind control object 1 is obtained by the following steps: 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 an 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, the terminal equipment determines that the early warning index meets a signal trigger condition 1, and then the terminal equipment automatically triggers the wind control early warning signal to push the 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 this embodiment, a terminal device receives relevant information for wind control early warning configured and input by a worker who develops an automatic wind control early warning service, and configures a wind control early warning signal in a preset database according to the relevant information and a signal triggering condition for correspondingly judging whether to trigger the wind control early warning signal; after the terminal equipment configures and generates each wind control early warning signal and the signal triggering condition of each wind control early warning signal in the database, the terminal equipment starts to acquire external data related to a wind control object and calculates a wind control early warning index of the wind control object by utilizing the external data based on self calculation service; the terminal equipment calculates the wind control early warning index of the wind control object by utilizing external data based on self calculation service, and then immediately judges whether the wind control early warning index meets a signal triggering condition corresponding to any one wind control early warning signal configured in the database, so that when the wind control early warning index is judged to meet the signal triggering condition, the wind control early warning signal corresponding to the signal triggering condition in the database is automatically triggered.
The method and the device realize that in the process of automatically executing the wind control early warning, the wind control early warning signals and the signal triggering conditions are configured in the database, and then the wind control early warning indexes are independently calculated after external data are collected, so that the description information such as the wind control early warning signals and the signal triggering conditions is isolated from the judgment logic used for automatically calculating to judge whether the wind control early warning signals are triggered, and therefore, compared with the existing method of uniformly compiling codes for the description and judgment logic of early warning models, the method and the device for automatically executing the wind control early warning are simpler to realize, and when the wind control early warning signals and/or the signal triggering conditions are expanded and maintained subsequently, the wind control early warning efficiency is greatly improved.
Further, based on the first embodiment of the wind control early warning method of the present invention, a second embodiment of the wind control early warning method of the present invention is provided, and in the second embodiment of the wind control early warning method of the present invention, the wind control early warning method of the present invention may further include:
and step S400, acquiring a preset management instruction, and performing corresponding management operation on the wind control early warning signal and/or the signal triggering condition in the database according to the preset management instruction.
It should be noted that, in this embodiment, the preset management instruction is a management instruction that is configured and generated autonomously by a worker who develops an automatic wind control early warning service, based on the extension and maintenance needs of a wind control early warning signal and/or a signal trigger condition, and manages the wind control early warning signal and/or the signal trigger condition.
The terminal equipment acquires a management instruction for managing the wind control early warning signal and/or the signal triggering condition by a worker developing an automatic wind control early warning service, and then performs corresponding management operation on a target wind control early warning signal and/or a target signal triggering condition pointed by the instruction according to the instruction.
Further, in a possible embodiment, the preset management instruction may be stored in the blockchain, and the corresponding management operation performed on the wind-controlled early warning signal and/or the signal triggering condition includes: modifying the wind control early warning signal and/or the signal triggering condition, and deleting the wind control early warning signal and/or the signal triggering condition. The step S400 may include:
step S401, acquiring a preset management instruction from the block chain;
it should be noted that, in this embodiment, after a worker developing an automatic wind-control early-warning service autonomously configures and generates a management instruction for managing a wind-control early-warning signal and/or a signal trigger condition based on an expansion and maintenance requirement for the wind-control early-warning signal and/or the signal trigger condition, the management instruction may be stored in a stable storage space (for example, a block chain) in advance, so that when a terminal device subsequently expands and maintains the wind-control early-warning signal and/or the signal trigger condition, the management instruction may be automatically obtained from the storage space.
In this embodiment, in order to ensure that a worker developing an automatic wind-control early warning service autonomously configures and generates a management instruction for managing a wind-control early warning signal and/or a signal trigger condition based on the extension and maintenance requirements of the wind-control early warning signal and/or the signal trigger condition, the management instruction is not erroneously modified or removed, and the management instruction can be stored in a node of a block chain.
Step S402, determining a target wind control early warning signal and/or a target signal triggering condition pointed by the preset management instruction in all the wind control early warning signals and all the signal triggering conditions configured in the database;
the method comprises the steps that after a terminal device obtains a staff developing an automatic wind control early warning service from a block chain, a management instruction for managing wind control early warning signals and/or signal triggering conditions is automatically configured and generated based on expansion and maintenance requirements of the wind control early warning signals and/or the signal triggering conditions, the management instruction is analyzed to obtain an identifier of the wind control early warning signals and/or the signal triggering conditions packaged in the management instruction, and then target wind control early warning signals and/or target signal triggering conditions pointed by the management instruction are determined from all wind control early warning signals and all signal triggering conditions configured in a database based on the identifier.
Step S403, modifying the target wind control early warning signal and/or the target signal triggering condition in the database according to the preset management instruction;
if the management instruction obtained by the terminal device from the block link point is the management instruction modified according to the wind control early warning signal and/or the signal triggering condition by the staff based on the maintenance requirement of the wind control early warning signal and/or the signal triggering condition, the terminal device modifies the target wind control early warning signal and/or the target signal triggering condition according to the modification operation content carried in the management instruction after determining the target wind control early warning signal and/or the target signal triggering condition pointed by the management instruction.
Specifically, for example, the management instruction obtained by the terminal device from a node of the blockchain is a management instruction configured by the staff based on a graphical user interface visually output by the front end and modifying the related information description of the existing wind control early warning signal 1, so that after the terminal device determines that the wind control early warning signal 1 is used as the target wind control early warning signal from the database, the information description in the wind control early warning signal 1 is replaced by the modified information description according to the specific modification content configured by the staff and packaged in the management instruction, thereby completing the modification of the wind control early warning signal 1. Similarly, the terminal device may also complete modification of the signal trigger condition for the wind-controlled early warning signal 1 based on the same process.
And S404, deleting the target wind control early warning signal and/or the target signal triggering condition in the database according to the preset management instruction.
If the management instruction obtained by the terminal device from the block link point is the management instruction for deleting the wind control early warning signal and/or the signal trigger condition by the staff based on the maintenance requirement of the wind control early warning signal and/or the signal trigger condition, the terminal device deletes the target wind control early warning signal and/or the target signal trigger condition according to the deletion instruction carried in the management instruction after determining the target wind control early warning signal and/or the target signal trigger condition pointed by the management instruction.
Specifically, for example, the management instruction obtained by the terminal device from a node of the blockchain is a management instruction configured by the staff based on a graphical user interface visually output by the front end to delete the information description related to the existing wind control early warning signal 1, so that after the terminal device determines that the wind control early warning signal 1 is the target wind control early warning signal from the database, the terminal device deletes the wind control early warning signal 1 from the database according to the deletion instruction configured by the staff and encapsulated in the management instruction. Similarly, the terminal device may also delete the signal triggering condition of the wind-control early warning signal 1 from the database based on the same process.
Further, in a possible embodiment, after the step of "obtaining the preset management instruction" in the step S400, the method for wind-controlled early warning according to the present invention may further include:
and S405, configuring a new wind control early warning signal and/or a new signal triggering condition in the database according to the preset management instruction.
If the management instruction obtained by the terminal device from the block link point is a management instruction added to the wind control early warning signal and/or the signal triggering condition by the staff based on the expansion requirement of the wind control early warning signal and/or the signal triggering condition, the terminal device can directly integrate the description as a new wind control early warning signal and/or a new signal triggering condition to be configured in the database according to the description of the new wind control early warning signal and/or the new signal triggering condition related information carried in the management instruction.
It should be noted that, in this embodiment, the process in which the terminal device generates a management instruction for adding the wind control early warning signal and/or the signal trigger condition based on the configuration of the staff, and configures a new wind control early warning signal and/or a new signal trigger condition in the database is the same as the implementation process in which the terminal device receives the relevant information for wind control early warning configured and input by the staff developing the automatic wind control early warning service in the first embodiment, and configures the wind control early warning signal in advance in the preset database according to the relevant information and correspondingly determines whether to trigger the signal trigger condition of the wind control early warning signal, and therefore, the process in which the terminal configures the new wind control early warning signal and/or the new signal trigger condition in the database is not described herein again.
In this embodiment, a management instruction for managing a wind control early warning signal and/or a signal trigger condition by a staff developing an automatic wind control early warning service is acquired through a terminal device, and then management operations such as corresponding modification, deletion, configuration of a new early warning signal or a trigger condition and the like are performed on a target wind control early warning signal and/or a target signal trigger condition pointed by the instruction according to the management instruction.
Therefore, when a new wind control early warning signal or a signal triggering condition is newly added based on a service development requirement, the early warning function of the new early warning signal can be realized only by adding a new configuration in the database, or when the existing wind control early warning signal or triggering judgment logic (namely the signal triggering condition) needs to be modified, the terminal equipment can judge and push the modified early warning signal description to a user according to the modified triggering logic only by modifying the corresponding record in the database table. Therefore, the maintenance cost of the automatic wind control early warning for the code layer is extremely low, the workload of developers can be mainly concentrated on the configuration, operation and maintenance of the wind control early warning signals, the uncertain problem caused by the conventional mode of frequently modifying codes to the automatic wind control early warning can be avoided, and the early warning efficiency is further improved.
In addition, the present invention also provides a wind-controlled early warning system, please refer to fig. 4, fig. 4 is a functional module schematic diagram of the wind-controlled early warning system of the present invention, and the wind-controlled early warning system of the present invention includes:
the early warning configuration module 101 is configured to configure a wind control early warning signal in a preset database and configure a signal triggering condition for triggering the wind control early warning signal;
the data acquisition module 102 is used for acquiring external data and calculating according to the external data to obtain a wind control early warning index;
the signal triggering module 103 is configured to trigger the wind control early warning signal corresponding to the signal triggering condition in the database if it is determined that the wind control early warning indicator meets the signal triggering condition configured in the database.
Optionally, the early warning configuration module 101 includes:
the first configuration unit is used for receiving preset wind control early warning information description and configuring and generating a wind control early warning signal in the database according to the wind control early warning information description;
and the second configuration unit is used for receiving the trigger condition information description aiming at the wind control early warning signal and configuring and generating a signal trigger condition corresponding to the wind control early warning signal in the database according to the trigger condition information description.
Optionally, the data acquisition module 102 includes:
the device comprises an acquisition unit, a processing unit and a control unit, wherein the acquisition unit is used for acquiring external data from preset data sources, and the number of the preset data sources is more than or equal to one;
the screening unit is used for screening target wind control data belonging to the same wind control object from the external data;
and the calculation unit is used for calculating the target wind control data to obtain a wind control early warning index of the wind control object.
Optionally, the signal triggering module 103 includes:
the reading unit is used for reading the wind control early warning signal and the signal triggering condition corresponding to the wind control early warning signal from the database according to the wind control early warning index;
the matching unit is used for matching the wind control early warning index with the signal triggering condition 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 wind control early warning signal.
Optionally, the wind-controlled early warning system of the present invention further includes:
and the management module is used for acquiring a preset management instruction and carrying out corresponding management operation on the wind control early warning signal and/or the signal triggering condition in the database according to the preset management instruction.
Optionally, the preset management instruction is stored in a block chain, and the management operation includes: modifying the wind control early warning signal and/or the signal triggering condition, and deleting the wind control early warning signal and/or the signal triggering condition, wherein the management module comprises:
the acquisition unit is used for acquiring a preset management instruction from the block chain;
the determining unit is used for determining a target wind control early warning signal and/or a target signal triggering condition pointed by the preset management instruction in all the wind control early warning signals and all the signal triggering conditions configured in the database;
the modifying unit is used for modifying the target wind control early warning signal and/or the target signal triggering condition in the database according to the preset management instruction; alternatively, the first and second electrodes may be,
and the deleting unit is used for deleting the target wind control early warning signal and/or the target signal triggering condition in the database according to the preset management instruction.
Optionally, the management module further includes:
and the newly-added unit is used for configuring a new wind control early warning signal and/or a new signal triggering condition in the database according to the preset management instruction.
The specific implementation of the wind control early warning system of the present invention is basically the same as that of each embodiment of the wind control early warning method, 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:
configuring a wind control early warning signal and configuring a signal triggering condition for triggering the wind control early warning signal in a preset database;
acquiring external data and calculating according to the external data to obtain a wind control early warning index;
and if the wind control early warning index is judged to accord with the signal triggering condition configured in the database, triggering the wind control early warning signal corresponding to the signal triggering condition in the database.
Further, the one or more programs are also executable by the one or more processors to:
and acquiring a preset management instruction, and performing corresponding management operation on the wind control early warning signal and/or the signal triggering condition in the database according to the preset management instruction.
Furthermore, the preset management instruction is stored in a block chain, and the management operation includes: modifying the wind-controlled pre-warning signal and/or the signal-triggering condition, deleting the wind-controlled pre-warning signal and/or the signal-triggering condition, the one or more programs being further executable by the one or more processors to:
acquiring a preset management instruction from the block chain;
determining a target wind control early warning signal and/or a target signal triggering condition pointed by the preset management instruction in all the wind control early warning signals and all the signal triggering conditions configured in the database;
modifying the target wind control early warning signal and/or the target signal triggering condition in the database according to the preset management instruction; alternatively, the first and second electrodes may be,
and deleting the target wind control early warning signal and/or the target signal triggering condition in the database according to the preset management instruction.
Further, the one or more programs are also executable by the one or more processors to:
and configuring a new wind control early warning signal and/or a new signal triggering condition in the database according to the preset management instruction.
The specific implementation of the computer storage medium of the present invention is substantially the same as that of each embodiment of the wind-controlled early warning method, 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 (10)

1. A wind control early warning method is characterized by comprising the following steps:
configuring a wind control early warning signal and configuring a signal triggering condition for triggering the wind control early warning signal in a preset database;
acquiring external data and calculating according to the external data to obtain a wind control early warning index;
and if the wind control early warning index is judged to accord with the signal triggering condition configured in the database, triggering the wind control early warning signal corresponding to the signal triggering condition in the database.
2. The wind-controlled early warning method according to claim 1, wherein the step of configuring the wind-controlled early warning signal and the signal triggering condition for triggering the wind-controlled early warning signal in the preset database comprises:
receiving preset wind control early warning information description, and configuring and generating a wind control early warning signal in the database according to the wind control early warning information description;
and receiving trigger condition information description aiming at the wind control early warning signal, and configuring and generating a signal trigger condition corresponding to the wind control early warning signal in the database according to the trigger condition information description.
3. The wind-controlled early warning method according to claim 1, wherein the step of acquiring external data and calculating a wind-controlled early warning index according to the external data comprises:
acquiring external data from preset data sources, wherein the number of the preset data sources is more than or equal to one;
screening target wind control data belonging to the same wind control object from the external data;
and calculating the target wind control data to obtain a wind control early warning index of the wind control object.
4. The wind-controlled early warning method according to claim 1, wherein the step of triggering the wind-controlled early warning signal corresponding to the signal triggering condition in the database if it is determined that the wind-controlled early warning indicator matches the signal triggering condition configured in the database includes:
reading the wind control early warning signal and the signal triggering condition corresponding to the wind control early warning signal from the database according to the wind control early warning index;
matching the wind control early warning index with the signal triggering condition to judge whether the wind control early warning index meets the signal triggering condition;
and if so, triggering the wind control early warning signal.
5. The wind-controlled early warning method of claim 1, further comprising:
and acquiring a preset management instruction, and performing corresponding management operation on the wind control early warning signal and/or the signal triggering condition in the database according to the preset management instruction.
6. The wind-controlled early warning method according to claim 5, wherein the preset management instruction is stored in a block chain, and the management operation comprises: modifying the wind-controlled early warning signal and/or the signal triggering condition, deleting the wind-controlled early warning signal and/or the signal triggering condition,
the step of acquiring a preset management instruction and performing corresponding management operation on the wind control early warning signal and/or the signal triggering condition in the database according to the preset management instruction comprises the following steps:
acquiring a preset management instruction from the block chain;
determining a target wind control early warning signal and/or a target signal triggering condition pointed by the preset management instruction in all the wind control early warning signals and all the signal triggering conditions configured in the database;
modifying the target wind control early warning signal and/or the target signal triggering condition in the database according to the preset management instruction; alternatively, the first and second electrodes may be,
and deleting the target wind control early warning signal and/or the target signal triggering condition in the database according to the preset management instruction.
7. The wind-controlled early warning method according to claim 5 or 6, wherein after the step of obtaining preset management instructions, the method further comprises:
and configuring a new wind control early warning signal and/or a new signal triggering condition in the database according to the preset management instruction.
8. A wind-controlled early warning system, comprising:
the early warning configuration module is used for configuring a wind control early warning signal in a preset database and configuring a signal triggering condition for triggering the wind control early warning signal;
the data acquisition module is used for acquiring external data and calculating according to the external data to obtain a wind control early warning index;
and the signal triggering module is used for triggering the wind control early warning signal corresponding to the signal triggering condition in the database if the wind control early warning index is judged to accord with the signal triggering condition configured in the database.
9. A computer device, characterized in that the computer device comprises: a memory, a processor, a communication bus, and a wind-controlled early warning program 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 internet-based wind-controlled early warning program to realize the steps of the wind-controlled early warning method according to any one of claims 1 to 7.
10. A computer storage medium, characterized in that the computer storage medium has stored thereon a wind-controlled early warning program, which when executed by a processor implements the steps of the wind-controlled early warning method according to any one of claims 1 to 7.
CN202011514193.4A 2020-12-18 2020-12-18 Wind control early warning method, system, computer equipment and computer storage medium Pending CN112541690A (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108961643A (en) * 2018-06-12 2018-12-07 深圳市中电数通智慧安全科技股份有限公司 A kind of parameter management method based on block chain, device and terminal device
KR102008707B1 (en) * 2019-03-26 2019-08-09 이종훈 Risk management system
CN110135687A (en) * 2019-04-12 2019-08-16 深圳壹账通智能科技有限公司 Business risk assesses method for early warning, device and computer readable storage medium
CN110796544A (en) * 2019-10-10 2020-02-14 中国建设银行股份有限公司 Asset management wind control engine configuration method and device
CN112053216A (en) * 2020-09-01 2020-12-08 财付通支付科技有限公司 Risk management method of financial product and related device

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108961643A (en) * 2018-06-12 2018-12-07 深圳市中电数通智慧安全科技股份有限公司 A kind of parameter management method based on block chain, device and terminal device
KR102008707B1 (en) * 2019-03-26 2019-08-09 이종훈 Risk management system
CN110135687A (en) * 2019-04-12 2019-08-16 深圳壹账通智能科技有限公司 Business risk assesses method for early warning, device and computer readable storage medium
CN110796544A (en) * 2019-10-10 2020-02-14 中国建设银行股份有限公司 Asset management wind control engine configuration method and device
CN112053216A (en) * 2020-09-01 2020-12-08 财付通支付科技有限公司 Risk management method of financial product and related device

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