CN111309692B - Unmanned aerial vehicle decision engine-based wind control management system - Google Patents
Unmanned aerial vehicle decision engine-based wind control management system Download PDFInfo
- Publication number
- CN111309692B CN111309692B CN202010062785.0A CN202010062785A CN111309692B CN 111309692 B CN111309692 B CN 111309692B CN 202010062785 A CN202010062785 A CN 202010062785A CN 111309692 B CN111309692 B CN 111309692B
- Authority
- CN
- China
- Prior art keywords
- wind control
- module
- aerial vehicle
- decision engine
- unmanned aerial
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/17—Details of further file system functions
- G06F16/178—Techniques for file synchronisation in file systems
- G06F16/1794—Details of file format conversion
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/03—Credit; Loans; Processing thereof
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/021—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/02—Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
- H04W84/10—Small scale networks; Flat hierarchical networks
- H04W84/12—WLAN [Wireless Local Area Networks]
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- General Physics & Mathematics (AREA)
- Development Economics (AREA)
- General Business, Economics & Management (AREA)
- Technology Law (AREA)
- Strategic Management (AREA)
- Marketing (AREA)
- Economics (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Forklifts And Lifting Vehicles (AREA)
Abstract
The invention relates to the field of internet money, in particular to a wind control management system based on an unmanned aerial vehicle decision engine, which comprises a wind control network management module, an unmanned aerial vehicle decision engine module and a model module; the wind control network management module is used for sending request parameters of wind control management to the unmanned plane decision engine module; the unmanned aerial vehicle decision engine module assembles a plurality of SER documents according to the request parameters and sends the SER documents to the model module; the model module stores a wind control model, substitutes the SER document into the wind control model to output wind control rules, executes the wind control rules and returns a decision result to the unmanned aerial vehicle decision engine module, and the unmanned aerial vehicle decision engine module sends return parameters to the wind control network management module according to the decision result. According to the invention, the wind control rule is set according to the actually input request parameters, repeated retests are not needed, the workload is reduced, and the working efficiency of wind control work is improved.
Description
Technical Field
The invention relates to the field of internet money, in particular to a wind control management system based on an unmanned plane decision engine.
Background
With the rapid development of internet technology, the development of internet financial industry, such as networking of banking business and special network credit institutions, is promoted, and fraud events in the network financial running process occur at time, so that the prevention and the prevention are very important for the management of the wind control of the network finance. In the business handling process such as bank credit, a practitioner needs to perform preliminary judgment of risks according to various kinds of information of clients, the authenticity of the information provided by the clients is difficult to directly judge, and the risk judgment by the practitioner is easy to be misled to cause errors, so that enterprise losses are caused.
The existing risk control system carries out wind control management according to wind control rules by presetting the wind control rules, and the wind control rules are complex and changeable, so that the existing wind control technical scheme cannot support flexible adjustment of the wind control rules, if the actual situation changes by any several rules, the effectiveness and accuracy of the whole decision table can be affected, therefore, testers of wind control management need to retest all the rules, repeated and cumbersome work is caused for the testers, and the wind control management efficiency is low.
Disclosure of Invention
The invention aims to provide a wind control management system based on an unmanned aerial vehicle decision engine, so as to automatically adjust wind control rules during wind control.
The wind control management system based on the unmanned aerial vehicle decision engine in the scheme comprises a wind control network management module, an unmanned aerial vehicle decision engine module and a model module;
the wind control network management module is used for sending request parameters of wind control management to the unmanned plane decision engine module;
the unmanned aerial vehicle decision engine module assembles a plurality of SER documents according to the request parameters and sends the SER documents to the model module;
the model module stores a wind control model, the model module substitutes the SER document into the wind control model to output wind control rules, the model module executes the wind control rules and returns a decision result to the unmanned plane decision engine module, and the unmanned plane decision engine module sends a return parameter to the wind control network management module according to the decision result.
The beneficial effect of this scheme is:
the request parameters are assembled into a plurality of SER documents, the SER documents are brought into the wind control model to form wind control rules, the wind control rules are executed on the SER documents, then decision results are returned, finally return parameters are sent according to the decision results, the plurality of SER documents enable the wind control model to have flexible adjustability, meanwhile confidentiality and safety of the wind control model are improved, the wind control rules are output by the model module according to the SER documents, the wind control rules can be set according to the actually input request parameters, repeated retesting is not needed, workload is reduced, and working efficiency of wind control work is improved.
Further, the unmanned aerial vehicle decision engine module comprises a conversion unit, wherein the request parameters are delivered in the form of a table document, and the conversion unit is used for converting the request parameters in the table document into SER files.
The beneficial effects are that: the request parameters are initially acquired by the form document, and then the form document is converted into the SER document, so that the acquisition of the request parameters is facilitated, the file format is converted, and the flexibility of subsequent processing is improved.
Further, the returned decision result is an entry and exit document, and the entry and exit document comprises calculation logic of the policy variables of the wind control model.
The beneficial effects are that: and returning a decision result according to the request parameters, and representing calculation logic by using a parameter entering and exiting document, so that the flexibility of wind control management is improved, and the efficiency is improved.
Further, the unmanned aerial vehicle decision engine module calls an SER interface to send return parameters to the wind control network management module.
The beneficial effects are that: and data interaction is performed in an interface mode, so that flexibility of formulating the wind control rule is improved, and confidentiality of a wind control model is improved.
Further, the unmanned aerial vehicle decision engine module comprises an early warning unit, and the early warning unit carries out early warning on triggering wind control rules according to returned decision results.
The beneficial effects are that: early warning is carried out when the decision result triggers the wind control rule, so that a manager can intuitively see risk parameters.
Further, the model module comprises a recording unit for recording the trigged wind control rules.
The beneficial effects are that: the triggering wind control rule is recorded, so that the rule change can be conveniently performed when the triggering is found in the later period, for example, the overdue rate of the earlier period is higher without overdue and later period, and the missing of the wind control rule is avoided.
Further, the model module comprises an execution unit, wherein the execution unit is used for executing the SER document according to the wind control rule.
The beneficial effects are that: the execution unit executes the SER temperature according to the wind control rule, so that artificial judgment is not needed, the intelligent performance is improved, and the efficiency is improved.
Drawings
FIG. 1 is a schematic block diagram of an embodiment of a unmanned aerial vehicle decision engine-based wind control management system of the present invention.
Detailed Description
Further details are provided below with reference to the specific embodiments.
Example 1
Unmanned aerial vehicle decision engine-based wind control management system, as shown in fig. 1: the unmanned aerial vehicle comprises a wind control network management module, an unmanned aerial vehicle decision engine module and a model module.
The wind control network management module is used for sending request parameters of wind control management to the unmanned aerial vehicle decision engine module, the request parameters can be personal information of a user needing wind control, enterprise information and the like, such as the name, age, mobile phone number, social security guarantee period, overdue rate and the like of the user, the wind control network management module can use a PC (personal computer) of a wind control manager, the unmanned aerial vehicle decision engine module assembles a plurality of SER (service enhanced) documents according to the request parameters and sends the request parameters to the model module, the unmanned aerial vehicle decision engine module comprises a conversion unit, the request parameters are delivered in form of form documents, for example, the request parameters are stored in an Excel form, the conversion unit is used for converting the request parameters in the form documents into the SER files, and the unmanned aerial vehicle decision engine can use an SMG3 decision engine of the existing beneficial bloodline company.
The model module stores an air control model, the model module substitutes an SER document into the air control model to output an air control rule, the model module executes the air control rule and returns a decision result to the unmanned aerial vehicle decision engine module, the model module can execute the air control rule by using the existing judging principle, for example, the unmanned aerial vehicle decision engine module sends a return parameter to the air control network management module according to the decision result, the decision result can be more than 18 years old and the local social security number of years old is more than 2 years old, and the return parameter can be 'true' or 'false' according to the decision result.
The returned decision result is a parameter entering and exiting document, the parameter entering and exiting document comprises calculation logic of a strategy variable of the wind control model, the parameter entering and exiting document can comprise judgment logic and judgment results thereof, the unmanned plane decision engine module calls the SER interface to send a return parameter to the wind control network management module, the unmanned plane decision engine module comprises an early warning unit, the early warning unit carries out early warning on triggering wind control rules according to the returned decision result, and early warning can be carried out in a mode of sending information.
The model module comprises a recording unit and an executing unit, wherein the recording unit is used for recording the trigged wind control rule, such as the parameter which is not overdue, and the executing unit is used for executing the SER document according to the wind control rule.
The specific implementation process is as follows:
when the wind control management is carried out, the wind control network management module receives request parameters in an Excel format and sends the request parameters to the unmanned aerial vehicle decision engine module, the conversion unit of the unmanned aerial vehicle decision engine module converts and assembles the request parameters into a plurality of SER documents, the SER documents are sent to the model module, the execution unit of the model module substitutes the request parameters in the SER documents into the wind control model to output corresponding wind control rules, then the model module returns decision results to the unmanned aerial vehicle decision engine module through the wind control rules, when the wind control rules are triggered, the early warning unit carries out early warning, and when the wind control rules are not triggered, the recording unit records the wind control rules.
According to the embodiment, the air control model has flexible adjustability through the SER documents, confidentiality and safety of the air control model are improved, the model module outputs the air control rules according to the SER documents, the air control rules can be set according to the actually input request parameters, repeated retests are not needed, workload is reduced, and working efficiency of air control work is improved.
Example two
The first embodiment is different from the first embodiment in that the system further comprises a processing module and a routing module, personnel information capable of processing a decision result when triggering the wind control rule is pre-stored in the processing module, the routing module is used for enabling a mobile terminal of a personnel to conduct WiFi connection and acquiring the arrival angle and the signal intensity of the mobile terminal, the mobile terminal can be a mobile phone of the personnel and the like, the routing module can be an existing router, the processing module can be an existing PC computer, the processing module acquires the arrival angle and the signal intensity, and when the arrival angle is located in a preset angle range of the routing module and the signal intensity is larger than an intensity threshold value, the processing module sends early warning information to the pre-stored personnel through an early warning unit.
In actual operation, a plurality of people are provided for processing the decision result triggering the wind control rule, but not every person is in a standby state, and when partial people vacate, even if early warning information is sent, the early warning information cannot be processed in time, so in the embodiment, the mobile terminal is limited in a certain range by judging the arrival angle and the signal strength of the WiFi mobile terminal connected with the routing module, the range can be aimed at the WiFi connection range of places such as banks, the arrival angle is positioned in the preset angle range of the routing module, and the signal strength is larger than the strength threshold value, namely: in places such as banks, personnel can in time handle early warning information, only send early warning information to preset personnel department, keep early warning information transmission's accuracy and confidentiality, compare with current technique with early warning information transmission prestore personnel department, guarantee to send early warning information to the personnel that can carry out the first time processing to early warning information.
The foregoing is merely exemplary embodiments of the present invention, and specific structures and features that are well known in the art are not described in detail herein. It should be noted that modifications and improvements can be made by those skilled in the art without departing from the structure of the present invention, and these should also be considered as the scope of the present invention, which does not affect the effect of the implementation of the present invention and the utility of the patent. The protection scope of the present application shall be subject to the content of the claims, and the description of the specific embodiments and the like in the specification can be used for explaining the content of the claims.
Claims (7)
1. Wind control management system based on unmanned aerial vehicle decision engine, its characterized in that: the unmanned aerial vehicle comprises a wind control network management module, an unmanned aerial vehicle decision engine module and a model module;
the wind control network management module is used for sending request parameters of wind control management to the unmanned plane decision engine module;
the unmanned aerial vehicle decision engine module assembles a plurality of SER documents according to the request parameters and sends the SER documents to the model module;
the model module stores a wind control model, the model module substitutes an SER document into the wind control model to output a wind control rule, the model module executes the wind control rule and returns a decision result to the unmanned plane decision engine module, and the unmanned plane decision engine module sends a return parameter to the wind control network management module according to the decision result;
the routing module is used for enabling the mobile terminal of the person to conduct WiFi connection and acquiring the arrival angle and the signal intensity of the mobile terminal, the processing module acquires the arrival angle and the signal intensity, and when the arrival angle is located in the preset angle range of the routing module and the signal intensity is larger than the intensity threshold value, the processing module sends early warning information to the prestored person through the early warning unit.
2. The unmanned aerial vehicle decision engine-based wind control management system of claim 1, wherein: the unmanned aerial vehicle decision engine module comprises a conversion unit, wherein the request parameters are delivered in the form of a table document, and the conversion unit is used for converting the request parameters in the table document into SER files.
3. The unmanned aerial vehicle decision engine-based wind control management system of claim 2, wherein: the returned decision result is an entry and exit document, and the entry and exit document comprises calculation logic of the strategy variables of the wind control model.
4. A unmanned aerial vehicle decision engine based wind control management system according to claim 3, wherein: and the unmanned aerial vehicle decision engine module calls the SER interface to send the return parameters to the wind control network management module.
5. The unmanned aerial vehicle decision engine-based wind control management system of claim 4, wherein: the unmanned aerial vehicle decision engine module comprises an early warning unit, and the early warning unit carries out early warning on triggering wind control rules according to returned decision results.
6. The unmanned aerial vehicle decision engine-based wind control management system of claim 1, wherein: the model module comprises a recording unit which is used for recording the triggerless wind control rules.
7. The unmanned aerial vehicle decision engine-based wind control management system of claim 6, wherein: the model module comprises an execution unit, wherein the execution unit is used for executing the SER document according to the wind control rule.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010062785.0A CN111309692B (en) | 2020-01-20 | 2020-01-20 | Unmanned aerial vehicle decision engine-based wind control management system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010062785.0A CN111309692B (en) | 2020-01-20 | 2020-01-20 | Unmanned aerial vehicle decision engine-based wind control management system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111309692A CN111309692A (en) | 2020-06-19 |
| CN111309692B true CN111309692B (en) | 2023-07-18 |
Family
ID=71158287
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010062785.0A Active CN111309692B (en) | 2020-01-20 | 2020-01-20 | Unmanned aerial vehicle decision engine-based wind control management system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111309692B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112364054B (en) * | 2020-10-22 | 2022-08-23 | 杭州大搜车汽车服务有限公司 | Wind control decision method, device, electronic device and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101505205A (en) * | 2008-02-05 | 2009-08-12 | 夏普株式会社 | Open loop MIMO method, base station and user equipment based on direction of arrival |
| CN102752849A (en) * | 2012-02-29 | 2012-10-24 | 中国人民解放军理工大学 | Single receiving machine location method based on signal detection probability and wave angle estimation |
| US9429953B1 (en) * | 2015-08-25 | 2016-08-30 | Skycatch, Inc. | Autonomously landing an unmanned aerial vehicle |
| US9639960B1 (en) * | 2016-11-04 | 2017-05-02 | Loveland Innovations, LLC | Systems and methods for UAV property assessment, data capture and reporting |
| CN107015196A (en) * | 2017-04-07 | 2017-08-04 | 哈尔滨工业大学 | A kind of single node indoor orientation method based on power delay profile Yu direction of arrival ranging |
| CN109086031A (en) * | 2018-06-28 | 2018-12-25 | 阿里巴巴集团控股有限公司 | A kind of operational decision making method and apparatus of rule-based engine |
| CN110288462A (en) * | 2019-05-31 | 2019-09-27 | 北京随信云链科技有限公司 | Air control system, air control method, computer readable storage medium and calculating equipment |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10317518B2 (en) * | 2015-07-20 | 2019-06-11 | Brigham Young University (Byu) | Phased array radar systems for small unmanned aerial vehicles |
| CN110609830A (en) * | 2019-08-15 | 2019-12-24 | 上海新颜人工智能科技有限公司 | Decision engine system based on auditing strategy |
| CN110648052B (en) * | 2019-09-02 | 2022-07-01 | 浙江大搜车软件技术有限公司 | Wind control decision method and device, computer equipment and storage medium |
-
2020
- 2020-01-20 CN CN202010062785.0A patent/CN111309692B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101505205A (en) * | 2008-02-05 | 2009-08-12 | 夏普株式会社 | Open loop MIMO method, base station and user equipment based on direction of arrival |
| CN102752849A (en) * | 2012-02-29 | 2012-10-24 | 中国人民解放军理工大学 | Single receiving machine location method based on signal detection probability and wave angle estimation |
| US9429953B1 (en) * | 2015-08-25 | 2016-08-30 | Skycatch, Inc. | Autonomously landing an unmanned aerial vehicle |
| US9639960B1 (en) * | 2016-11-04 | 2017-05-02 | Loveland Innovations, LLC | Systems and methods for UAV property assessment, data capture and reporting |
| CN107015196A (en) * | 2017-04-07 | 2017-08-04 | 哈尔滨工业大学 | A kind of single node indoor orientation method based on power delay profile Yu direction of arrival ranging |
| CN109086031A (en) * | 2018-06-28 | 2018-12-25 | 阿里巴巴集团控股有限公司 | A kind of operational decision making method and apparatus of rule-based engine |
| CN110288462A (en) * | 2019-05-31 | 2019-09-27 | 北京随信云链科技有限公司 | Air control system, air control method, computer readable storage medium and calculating equipment |
Non-Patent Citations (2)
| Title |
|---|
| 《Airspace risk assessment in logistic path planning for UAV》;Chin E.Lin;《2017 Integrated Communications，Navigation and Surveillance Conference》;全文 * |
| 《MIMO雷达参数估计与数据融合方法研究》;陈浩;《中国优秀博士学位论文全文数据库》;全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111309692A (en) | 2020-06-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109034661A (en) | User identification method, device, server and storage medium | |
| CN107067324A (en) | A kind of utilization network packet capturing data realize the method and system of transaction risk control | |
| CN113268768B (en) | Desensitization method, device, equipment and medium for sensitive data | |
| CN106970911A (en) | A kind of strick precaution telecommunication fraud system and method based on big data and machine learning | |
| CN109242280A (en) | User behavior data processing method, device, electronic equipment and readable medium | |
| CN109767227B (en) | System and method for realizing intelligent judgment and control of payment risk through RDS (remote data System) | |
| CN112966497A (en) | Risk identification system, method, server and storage medium | |
| CN113570468A (en) | Enterprise payment wind control service platform | |
| CN120013262B (en) | Data circulation method and equipment of integrated platform and financial tax integrated platform | |
| CN114971638A (en) | Transaction authentication method and device based on risk identification | |
| CN111309692B (en) | Unmanned aerial vehicle decision engine-based wind control management system | |
| CN118473730A (en) | Electric power internet of things terminal network risk behavior identification method, equipment and medium | |
| CN112435111A (en) | Tax hall guide method and device based on hall and user data | |
| CN115632809A (en) | Wind control platform system for intelligently identifying abnormal events based on big data | |
| CN105930703A (en) | Mouse and keyboard double-index type composite security identity identification system | |
| CN117610045B (en) | Application password monitoring management cloud platform based on commercial password protection | |
| CN116680740B (en) | Financial data sharing safety monitoring system and method based on artificial intelligence | |
| CN118312950A (en) | Data leakage prevention method and system based on large language model | |
| CN111402046A (en) | Account management method and device, storage medium and computer equipment | |
| CN115941295A (en) | Abnormal network behavior detection method and device | |
| CN110113301B (en) | Intrusion detection system based on cloud computing | |
| CN113378222A (en) | File encryption method and system based on data content identification | |
| CN112328998A (en) | Computer information security monitoring method | |
| CN120104569B (en) | A data archiving processing method and system based on shutdown system | |
| CN118211235B (en) | A digital information security supervision system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |