CN108399209A - A kind of monitoring system based on big data - Google Patents
A kind of monitoring system based on big data Download PDFInfo
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- CN108399209A CN108399209A CN201810100185.1A CN201810100185A CN108399209A CN 108399209 A CN108399209 A CN 108399209A CN 201810100185 A CN201810100185 A CN 201810100185A CN 108399209 A CN108399209 A CN 108399209A
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- G06F16/90—Details of database functions independent of the retrieved data types
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Abstract
The monitoring system based on big data that an embodiment of the present invention provides a kind of, including：Module is crawled, for using metadata acquisition tool, condition is crawled according to preset big data and crawls range, obtain target big data；Module is obtained, for analyzing the target big data, obtains the target big data for goal task；Analysis module is analyzed for the target big data to the goal task, judges whether the quantity of the target big data meets trigger condition；Reminding module, for when analysis module meets trigger condition, determining the prompting for the goal task.Using a kind of monitoring system based on big data provided by the invention, can monitoring objective occurs from big data number, the environment temperature then carried out when the number of appearance is more than preset value, and can carry out internet interaction is feature-rich, improves user experience.
Description
Technical field
The present invention relates to electronic technology field more particularly to a kind of monitoring systems based on big data.
Background technology
Domestic big data industrial market scale has broken through 10,000,000,000 yuan within 2016.But at present China big data industry still in
Starting stage, industry supply is much smaller than the market demand, and the products ＆ services occurred are in thinking, content, application, effect
Etc. differentiation degree it is not high, lack ripe business model in addition, big data market competition caused to be not enough.
China's big data is still in starting developing stage, and various regions development big data enthusiasm is higher, and sector application obtains soon
Speed is promoted, and market scale speedup is apparent.Chinese big data market scale is about 17,000,000,000 yuan within 2016.It is expected that it is 3~4 years following,
Chinese big data market scale growth rate will remain in 45% or more, and business revenue scale in 2017 is possible to break through 28,000,000,000 yuan.
Currently, big data Industrial Agglomeration effect starts to show, and Beijing Tianjin and Hebei Region, Yangtze River Delta Area, Pearl River Delta occurs
Development zone is gathered in area and Midwest four, respectively has development characteristic.Beijing rely on Zhong Guan-cun information industry leading superiority,
Quickly gather and cultivated large quantities of big data enterprises, will then gather potential energy rapidly and be diffused into Tianjin Ji area, it is big to form Jing-jin-ji region
Data corridor pattern.Big data and local smart city, cloud computing development are combined closely in Yangtze River Delta Area city, make big number
Arrow is put again according to the existing support of industry, has attracted large quantities of big data enterprises.
Financial industry big data application investment allocation, from investment structure, bank will become in financial enterprise
Pith, security and insurance divide row second and third position.Next, we will introduce bank, insurance and bond house respectively
The big data applicable cases of industry.Domestic many banks have begun to attempt to drive service operation by big data, such as middle letter silver
Row credit card centre realizes real-time marketing using big data technology, and Everbright Bank establishes social network information database, recruits
Quotient bank then utilizes big data to develop small micro- loan.The application of bank's big data can be divided into two broad aspects as a whole：
First aspect：Risk management and control.Including the means such as loan of small and medium enterprise risk assessment and fraudulent trading identification.
(1) loan of small and medium enterprise risk assessment.Bank can pass through the relevant informations knot such as the production of enterprise, circulation, sale, finance
It closes big data method for digging and carries out credit risk analysis, quantify the credit line of enterprise, more effectively carry out loan of small and medium enterprise.
(2) fraudulent trading identification in real time and anti money washing analysis.Bank can utilize the basic letter of holder's essential information, card
Transactions history, customer historical behavior pattern, behavior pattern (such as transferring accounts) is occurring for breath, in conjunction with intelligent rules engine (such as from
One country infrequently occurred is that a peculiar user transfers accounts or carries out online transaction from a unfamiliar position) it carries out in fact
When the anti-fraud analysis of transaction.As IBM financial crime rwan management solution RWANs help bank effectively to prevent and manage using big data
Financial crime is managed, customer accounting code or intrusion ATM (ATM) are then stolen using the tracking of big data technology by JPMorgan Chase Bank
The criminal of system.
Second aspect：Operation optimization.
(1) market and channel analysis optimization.By big data, bank can monitor different marketing channels especially net
The quality of network channel promotion, to the adjustment and optimization of channel of cooperating.It is also possible to analyze which channel is more suitable for pushing away
Which wide class bank product or service, to carry out the optimization of channel promotion strategy.
(2) products ＆ services optimize：Bank can convert customer action to information flow, and therefrom analyze the individual character of client
Feature and risk partiality understand the custom of client, intelligent analysis and prediction customer demand, to carry out product to a deeper level
Innovation and service optimization.If Societe Generale carries out preliminary analysis to big data at present, by comparing differentiation to refund data mining
Top-tier customer provides the financial product and method of service of differentiation according to the difference of client's refund number.
(3) the analysis of public opinion：Bank can be captured on community, forum and microblogging by crawler technology about bank and silver
The relevant information of row products ＆ services, and just negative judgement is carried out by natural language processing technique, silver is especially grasped in time
The negative report of row and bank product and service, timely discovery and process problem;For positive information, can be summarized simultaneously
Continue to strengthen.Meanwhile bank can also capture the positive negative report of bank of the same trade, understand the good aspect that colleague does in time,
Using the reference optimized as own service.
Currently, in the business scopes such as finance, lease, newpapers and periodicals, a large amount of tables of data is generally involved, project key table is multiple
Miscellaneous business processing flow etc., above-mentioned business may relate to multiple operation executors, are related to cumbersome business and execute the time, execute
The information such as method and implementing result.
Such as：The financial statements moon summarizes business, and processing data amount is huge, and the execution code time is long, is related to business complexity.Again
Such as：It is frequently involved in financing lease business and presses for payment of the complicated business such as overdue money.However, the prior art can not be effectively to above-mentioned industry
Business flow is monitored.
Invention content
The embodiment of the present invention is designed to provide a kind of monitoring system based on big data, to realize to target big data
Effective monitoring and carry out alarm operation.
In order to achieve the above object, the embodiment of the invention discloses a kind of the monitoring system based on big data, the method
Including：
Module is crawled, for using metadata acquisition tool, condition is crawled according to preset big data and crawls range, obtain target
Big data；
Module is obtained, for analyzing the target big data, obtains the target big data for goal task；
Analysis module is analyzed for the target big data to the goal task, judges the quantity of the target big data
Whether trigger condition is met；
Reminding module, for when analysis module meets trigger condition, determining the prompting for the goal task.
Optionally, described to crawl module, including：Data Data acquisition is carried out using reptile instrument, and according to preset big
Data crawl condition and crawl range, obtain target big data.
Optionally, the system also includes：
Alarm module, for by the prompting message for being directed to the goal task be sent to alarm system, by the alarm system into
Row alarm.
Optionally, the analysis module, including：
Judging submodule, for judging whether the quantity of the bibliography mark big data is more than within a preset period of time predetermined threshold value；
Optionally, the analysis module, including：
Determination sub-module, in the case where the judging result of judging submodule is, it is determined that full for the target big data
Sufficient trigger condition, otherwise, it is determined that be unsatisfactory for trigger condition for the target big data.
Optionally, the module that crawls is communicatively coupled with the acquisition module using wireless communication, GPRS.
Advantageous effect：
Monitoring system provided in an embodiment of the present invention based on big data, crawls module, for using metadata acquisition tool, according to
Preset big data crawls condition and crawls range, obtains target big data；Obtain module, for the target big data into
Row analysis, obtains the target big data for goal task；Analysis module, for the target big data of the goal task into
Row analysis, judges whether the quantity of the target big data meets trigger condition；Reminding module is touched for meeting in analysis module
When clockwork spring part, the prompting for the goal task is determined.The technical solution that the specific embodiment of the invention provides obtains target
Whether the progress analyzing processing of multiple target big datas is met alarm conditions, is alerted if meeting by big data, so its
Has the advantages that monitoring and reminding.
Description of the drawings
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Fig. 1 is the flow diagram of the monitoring system provided in an embodiment of the present invention based on big data.
Fig. 2 is the structural schematic diagram of the monitoring device provided in an embodiment of the present invention based on big data.
Fig. 3 is the flow diagram of the analysis module provided in an embodiment of the present invention based on big data.
Fig. 4 is the structural schematic diagram of the monitoring system provided in an embodiment of the present invention based on big data.
Fig. 1 is the flow diagram of the monitoring system provided in an embodiment of the present invention based on big data, and this method includes step
Suddenly：
Module is crawled, for using metadata acquisition tool, condition is crawled according to preset big data and crawls range, obtain target
Big data；
Module is obtained, for analyzing the target big data, obtains the target big data for goal task；
Analysis module is analyzed for the target big data to the goal task, judges the quantity of the target big data
Whether trigger condition is met；
Reminding module, for when analysis module meets trigger condition, determining the prompting for the goal task.
Optionally, described to crawl module, including：Data Data acquisition is carried out using reptile instrument, and according to preset big
Data crawl condition and crawl range, obtain target big data.
Optionally, the system also includes：
Alarm module, for by the prompting message for being directed to the goal task be sent to alarm system, by the alarm system into
Row alarm.
Optionally, the analysis module, including：
Judging submodule, for judging whether the quantity of the bibliography mark big data is more than within a preset period of time predetermined threshold value；
Determination sub-module, in the case where the judging result of judging submodule is, it is determined that full for the target big data
Sufficient trigger condition, otherwise, it is determined that be unsatisfactory for trigger condition for the target big data.
Optionally, the module that crawls is communicatively coupled with the acquisition module using wireless communication, GPRS.The present invention
The technical solution that specific implementation mode provides obtains video big data, and multiple video big datas, which are carried out analyzing processing, obtains same
The video data with personage is analyzed, such as analyzes exception, then alerted by the video data of personage, so its
Has the advantages that monitoring and reminding.
If do not analyzed exception, then normally handled, furthermore it is also possible to which alarm data is sent to alarm system.
Data Data acquisition is carried out using reptile instrument, and condition is crawled according to preset big data and crawls range, is obtained
Take target big data；It will be sent to alarm system for the prompting message of the goal task；It is carried out by the alarm system
Alarm.Judge whether the quantity of the bibliography mark big data is more than within a preset period of time predetermined threshold value；If it is, being determined as
The target big data meets trigger condition；If it is not, then being determined as the target big data is unsatisfactory for trigger condition.
It is the monitoring device provided in an embodiment of the present invention based on big data in addition, referring to Fig. 2.
Monitoring system provided in an embodiment of the present invention based on big data, crawls module, for using metadata acquisition tool,
Condition is crawled according to preset big data and crawls range, obtains target big data；Module is obtained, for the big number of the target
According to being analyzed, the target big data for goal task is obtained；Analysis module, for the big number of the target of the goal task
According to being analyzed, judge whether the quantity of the target big data meets trigger condition；Reminding module, for full in analysis module
When sufficient trigger condition, the prompting for the goal task is determined.The technical solution that the specific embodiment of the invention provides obtains
Whether the progress analyzing processing of multiple target big datas is met alarm conditions, is alerted if meeting, institute by target big data
Has the advantages that monitoring and reminding with it.
It should be noted that herein, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also include other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
There is also other identical elements in process, method, article or equipment including the element.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the scope of the present invention.It is all
Any modification, equivalent replacement, improvement and so within the spirit and principles in the present invention, are all contained in protection scope of the present invention
It is interior.
Claims (6)
1. a kind of monitoring system based on big data, which is characterized in that the method includes：
Module is crawled, for using metadata acquisition tool, condition is crawled according to preset big data and crawls range, obtain target
Big data；
Module is obtained, for analyzing the target big data, obtains the target big data for goal task；
Analysis module is analyzed for the target big data to the goal task, judges the quantity of the target big data
Whether trigger condition is met；
Reminding module, for when analysis module meets trigger condition, determining the prompting for the goal task.
2. the monitoring system according to claim 1 based on big data, which is characterized in that it is described to crawl module, including：It adopts
Data Data acquisition is carried out with reptile instrument, and condition is crawled according to preset big data and crawls range, obtains the big number of target
According to.
3. the monitoring system according to claim 1 based on big data, which is characterized in that the system also includes：
Alarm module, for by the prompting message for being directed to the goal task be sent to alarm system, by the alarm system into
Row alarm.
4. a kind of monitoring system based on big data according to claim 1, which is characterized in that the analysis module, packet
It includes：
Judging submodule, for judging whether the quantity of the bibliography mark big data is more than within a preset period of time predetermined threshold value.
5. a kind of monitoring system based on big data according to claim 1, which is characterized in that the analysis module, also
Including：
Determination sub-module, in the case where the judging result of judging submodule is, it is determined that full for the target big data
Sufficient trigger condition, otherwise, it is determined that be unsatisfactory for trigger condition for the target big data.
6. a kind of monitoring system based on big data according to claim 1, which is characterized in that described to crawl module and institute
Acquisition module is stated to be communicatively coupled using wireless communication, GPRS.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112650903A (en) * | 2020-08-28 | 2021-04-13 | 武汉市可伴信息技术有限公司 | Commodity collection platform based on multi-fusion mode |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107590180A (en) * | 2017-08-01 | 2018-01-16 | 佛山市深研信息技术有限公司 | A kind of monitoring and reminding method and device of big data |
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Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107590180A (en) * | 2017-08-01 | 2018-01-16 | 佛山市深研信息技术有限公司 | A kind of monitoring and reminding method and device of big data |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112650903A (en) * | 2020-08-28 | 2021-04-13 | 武汉市可伴信息技术有限公司 | Commodity collection platform based on multi-fusion mode |
| CN112650903B (en) * | 2020-08-28 | 2024-03-29 | 武汉市可伴信息技术有限公司 | Commodity collection platform based on multiple fusion modes |
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Application publication date: 20180814 |
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