CN104410686A - Bank power grid intelligent monitoring system - Google Patents
Bank power grid intelligent monitoring system Download PDFInfo
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- CN104410686A CN104410686A CN201410681932.7A CN201410681932A CN104410686A CN 104410686 A CN104410686 A CN 104410686A CN 201410681932 A CN201410681932 A CN 201410681932A CN 104410686 A CN104410686 A CN 104410686A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/04—Network management architectures or arrangements
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
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Abstract
The invention discloses a bank power grid intelligent monitoring system comprising a client, a server, a database and an external integrated system. A warning threshold of each piece of performance data, anomaly time, warning manner and warning receiver information are set for a bank power system main unit through the client. The server receives the warning thresholds, the anomaly time, the warning manner and the warning receiver information and transmits them to the database for storage. The performance data of the bank power system main unit is collected in real time, failure warning is performed by means of threshold judgment, and the external integrated system is controlled according to the warning manner and the warning receiver information to send a warning message to a warning receiver. Real-time traction data of the bank power system main unit is collected. Historical transaction data stored in the database are collected; a transaction peak of next month is predicted according to the historical transaction data. By the use of the bank power grid intelligent monitoring system, the problem that the existing bank power system lacks failure warning and transaction peak prediction is solved.
Description
Technical field
The present invention relates to a kind of silver-colored electric network intelligent monitor system, belong to silver-colored electric system monitoring technique field.
Background technology
The silver-colored electric network system of current operation, due to the continuous increase of traffic carrying capacity, also more and more higher to its requirement, the discovery of the current silver-colored electric network system failure often related service department after Business Processing is obstructed, and the discovery of the generation of fault and fault exists and postpones, system manager can not judge fault in the very first time and get rid of, to certain impact that the work of business department produces, meanwhile, predict that the business department that gives that the shortage of measure makes engineering department to shoot the arrow at the target supports.Therefore a kind of real-time, efficient silver-colored electric network intelligent monitor system is badly in need of now, the problem that the fault pre-alarming solving existing silver-colored electric system lacks with the prediction of transaction peak.
Summary of the invention
The invention provides a kind of silver-colored electric network intelligent monitor system, achieve a kind of real-time, efficient silver-colored electric network intelligent monitor system, solve the fault pre-alarming of existing silver-colored electric system and the problem of transaction peak prediction shortage.
In order to solve the problems of the technologies described above, the technical solution adopted in the present invention is:
A kind of silver-colored electric network intelligent monitor system, comprises client, server, database and external harmoniousness system; Described client is human-computer interaction interface, and described client arranges the threshold value of warning of silver-colored each performance data of electric system main frame, abnormal time, alarm mode and early warning recipient information, and sends it to server; Receive the peak and the silver-colored electric system that display server sends is concluded the business to predict the outcome; Described server receives threshold value of warning, abnormal time, alarm mode and early warning recipient information, and sends it to database purchase; Each performance data of Real-time Collection silver electric system main frame, adopts threshold decision method to carry out fault pre-alarming, and sends early warning information according to alarm mode and early warning recipient information control external harmoniousness system to early warning recipient; Gather the real-time transaction data of silver-colored electric system main frame, and transaction data is sent to database purchase; The historical trading data stored in acquisition database, predicts the transaction peak occurred next month according to historical trading data, and the result of prediction is sent to client.
Described alarm mode comprises short message warning and mail early warning.
Described external harmoniousness system comprises SMS platform and synergetic office work platform, and described SMS platform is in order to send early warning information to early warning recipient in the mode of note; Described synergetic office work platform is in order to send early warning information to early warning recipient in the mode of mail.
The process that described threshold decision method carries out fault pre-alarming is,
A1), server receives threshold value of warning, abnormal time, alarm mode and early warning recipient information;
A2), each performance data of server Real-time Collection silver electric system main frame;
A3), each performance data and corresponding threshold value of warning are compared, if exceed threshold value of warning, triggers early warning, go to step A4, otherwise go to step A5;
A4), the time that record early warning triggers, if the time that early warning triggers is greater than abnormal time, then judges this property abnormality, need to send early warning information, otherwise go to step A5;
A5), more next performance data, until traveled through all properties data.
Each performance data of described silver-colored electric system main frame comprises the load information of main frame, message queue information and channel information, and wherein the load information of main frame is by snmp protocol Real-time Obtaining, and message queue information and channel information are by the PCF Real-time Obtaining of MQ.
The process of described transaction peak prediction is,
B1), N number of interval was divided into by one month, wherein N >=3;
B2), the monthly transaction data in historical trading data is gathered, obtain 3 intervals of before monthly transaction data 3;
B3), number of times is occurred that maximum interval predictions is the interval occurring transaction peak next month.
The beneficial effect that the present invention reaches: 1, each performance data of server Real-time Collection silver electric system main frame of the present invention, by comparing with threshold value of warning and abnormal time, judge that whether each performance data is normal, namely judge that whether each performance of silver-colored electric system main frame is normal, if abnormal, send fault pre-alarming, achieve the real-time monitoring to silver-colored electric system and fault pre-alarming; 2, the present invention sends early warning information by external harmoniousness system to early warning recipient when fault pre-alarming, shortens fault handling time; 3, the historical trading data stored in collection of server database of the present invention, according to historical trading data, the transaction peak occurred next month is predicted, achieve silver-colored electric system transaction peak prediction, for user optimization flow process, optimize reference when host server distributes.
Accompanying drawing explanation
Fig. 1 is structured flowchart of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the invention will be further described.Following examples only for technical scheme of the present invention is clearly described, and can not limit the scope of the invention with this.
As shown in Figure 1, a kind of silver-colored electric network intelligent monitor system, comprises client, server, database and external harmoniousness system.
Client is human-computer interaction interface, and client arranges the threshold value of warning of silver-colored each performance data of electric system main frame, abnormal time, alarm mode and early warning recipient information, and sends it to server; Client receives and the silver-colored electric system transaction peak that display server sends predicts the outcome.
Server receives threshold value of warning, abnormal time, alarm mode and early warning recipient information, and sends it to database purchase; Each performance data of server Real-time Collection silver electric system main frame, here each performance data of silver-colored electric system main frame comprises the load information (Center Processing Unit Utilization and internal memory) of main frame, message queue information and channel information, wherein the load information of main frame is by snmp protocol Real-time Obtaining, message queue information and channel information pass through the PCF Real-time Obtaining of MQ, adopt threshold decision method to carry out fault pre-alarming to performance data, and send early warning information according to alarm mode and early warning recipient information control external harmoniousness system to early warning recipient; The real-time transaction data of collection of server silver electric system main frame, and transaction data is sent to database purchase; The historical trading data stored in collection of server database, predicts the transaction peak occurred next month according to historical trading data, and the result of prediction is sent to client.
The process that above-mentioned threshold decision method carries out fault pre-alarming is as follows:
A1), server receives threshold value of warning, abnormal time, alarm mode and early warning recipient information.
A2), each performance data of server Real-time Collection silver electric system main frame.
A3), each performance data and corresponding threshold value of warning are compared, if exceed threshold value of warning, triggers early warning, go to step A4, otherwise go to step A5.
A4), the time that record early warning triggers, if the time that early warning triggers is greater than abnormal time, then judges this property abnormality, need to send early warning information, otherwise go to step A5.
A5), more next performance data, until traveled through all properties data.
The process of above-mentioned transaction peak prediction is as follows:
B1), be divided into N number of interval by one month, wherein N >=3, General N=10, namely 3 days intervals.
B2), the monthly transaction data in historical trading data is gathered, obtain 3 intervals of before monthly transaction data 3.
B3), number of times is occurred that maximum interval predictions is the interval occurring transaction peak next month.
External harmoniousness system comprises SMS platform and synergetic office work platform, and alarm mode adopts common short message warning and mail early warning, and SMS platform is in order to send early warning information to early warning recipient in the mode of note; Synergetic office work platform is in order to send early warning information to early warning recipient in the mode of mail.It is integrated that SMS platform and synergetic office work platform all have employed Webservice interfacing.
What above-mentioned system adopted is B/S framework, and client is web browser, by HTTP mode access services device, carries out mutual; Server is weblogic9.2, is responsible for disposing supervisory control system application; What database adopted is oracle database.
Above-mentioned silver-colored electric network intelligent monitor system also further can carry out functions expanding, by each performance data of the silver-colored electric system main frame of Real-time Collection, in conjunction with each fault pre-alarming, realize MQ transaction analysis, server load analysis, early warning information analysis, withhold transaction analysis, monitoring report analysis.
MQ transaction analysis: check analysis to trading volume and trading session thereof, helps keeper to understand the processing pressure of server when peak, and the distribution situation in the rush hour of server.
Server load is analyzed: according to sky and hour time dimension carry out statistical summaries to gathering the server load condition obtained, help keeper better to grasp the ruuning situation of server on time dimension and server operation distribution situation in rush hour.
Early warning information is analyzed: to the pre-warning time of server exception early warning record, alarm mode, and early warning sends address and carries out representing and analysis.Keeper is helped better to grasp the running status of early warning system entirety and the response owner information of relevant early warning.
Withhold transaction analysis: from time dimension, the MQ of bank's dimension to bank withholds trading volume and shows and analyze, and helps understanding to withhold in trading volume, the accounting distribution situation of each bank, the accounting situation of exchange hour.For process optimization, the prediction of server peak provides basis for estimation.
Monitoring report is analyzed: to the monitoring situation of silver-colored electric network entirety, gather in certain hour section, number of faults, early warning number, the data such as trading volume, provide corresponding statistical content.
Above-mentioned silver-colored electric network intelligent monitor system, each performance data of Real-time Collection silver electric system main frame, by comparing with threshold value of warning and abnormal time, judge that whether each performance data is normal, namely judge that whether each performance of silver-colored electric system main frame is normal, if abnormal, send fault pre-alarming, achieve the real-time monitoring to silver-colored electric system and fault pre-alarming; Send early warning information by external harmoniousness system to early warning recipient when fault pre-alarming, shorten fault handling time; The historical trading data stored in above-mentioned silver-colored electric network intelligent monitor system acquisition database, according to historical trading data, the transaction peak occurred next month is predicted, achieve silver-colored electric system transaction peak prediction, for user optimization flow process, optimize reference when host server distributes.
In sum, above-mentioned silver-colored electric network intelligent monitor system, effectively alleviate the monitoring work of operation maintenance personnel, automatic analysis and investigation, early warning is carried out by system, have the advantages that accuracy rate is high, real-time, make full use of server resource non-stop run in 24 hours, realize 7 × 24 hours seamless monitoring and early warnings, and give relevant operation maintenance personnel (i.e. early warning recipient) by early warning information intelligently pushing, improve the operating efficiency of bank-power intranet operation maintenance personnel.
The above is only the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the prerequisite not departing from the technology of the present invention principle; can also make some improvement and distortion, these improve and distortion also should be considered as protection scope of the present invention.
Claims (6)
1. a silver-colored electric network intelligent monitor system, is characterized in that: comprise client, server, database and external harmoniousness system;
Described client is human-computer interaction interface, and described client arranges the threshold value of warning of silver-colored each performance data of electric system main frame, abnormal time, alarm mode and early warning recipient information, and sends it to server; Receive the peak and the silver-colored electric system that display server sends is concluded the business to predict the outcome;
Described server receives threshold value of warning, abnormal time, alarm mode and early warning recipient information, and sends it to database purchase; Each performance data of Real-time Collection silver electric system main frame, adopts threshold decision method to carry out fault pre-alarming, and sends early warning information according to alarm mode and early warning recipient information control external harmoniousness system to early warning recipient; Gather the real-time transaction data of silver-colored electric system main frame, and transaction data is sent to database purchase; The historical trading data stored in acquisition database, predicts the transaction peak occurred next month according to historical trading data, and the result of prediction is sent to client.
2. the silver-colored electric network intelligent monitor system of one according to claim 1, is characterized in that: described alarm mode comprises short message warning and mail early warning.
3. the silver-colored electric network intelligent monitor system of one according to claim 2, it is characterized in that: described external harmoniousness system comprises SMS platform and synergetic office work platform, described SMS platform is in order to send early warning information to early warning recipient in the mode of note; Described synergetic office work platform is in order to send early warning information to early warning recipient in the mode of mail.
4. the silver-colored electric network intelligent monitor system of one according to claim 1, is characterized in that: the process that described threshold decision method carries out fault pre-alarming is,
A1), server receives threshold value of warning, abnormal time, alarm mode and early warning recipient information;
A2), each performance data of server Real-time Collection silver electric system main frame;
A3), each performance data and corresponding threshold value of warning are compared, if exceed threshold value of warning, triggers early warning, go to step A4, otherwise go to step A5;
A4), the time that record early warning triggers, if the time that early warning triggers is greater than abnormal time, then judges this property abnormality, need to send early warning information, otherwise go to step A5;
A5), more next performance data, until traveled through all properties data.
5. the one silver electric network intelligent monitor system according to claim 1 or 4, it is characterized in that: each performance data of described silver-colored electric system main frame comprises the load information of main frame, message queue information and channel information, wherein the load information of main frame is by snmp protocol Real-time Obtaining, and message queue information and channel information pass through the PCF Real-time Obtaining of MQ.
6. the silver-colored electric network intelligent monitor system of one according to claim 1, is characterized in that: the process of described transaction peak prediction is,
B1), N number of interval was divided into by one month, wherein N >=3;
B2), the monthly transaction data in historical trading data is gathered, obtain 3 intervals of before monthly transaction data 3;
B3), number of times is occurred that maximum interval predictions is the interval occurring transaction peak next month.
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| CN201410681932.7A CN104410686A (en) | 2014-11-25 | 2014-11-25 | Bank power grid intelligent monitoring system |
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| CN105939379A (en) * | 2016-05-20 | 2016-09-14 | 天津海量信息技术股份有限公司 | Real-time monitoring and early warning system and real-time monitoring and early warning method based on internet data |
| CN109118385A (en) * | 2018-08-10 | 2019-01-01 | 广州供电局有限公司 | Urban distribution network status data modeling method and system towards big data |
| CN110727586A (en) * | 2019-09-16 | 2020-01-24 | 平安科技（深圳）有限公司 | Host anomaly monitoring method and device, storage medium and server |
| CN113190416A (en) * | 2021-05-27 | 2021-07-30 | 中国工商银行股份有限公司 | Database execution plan early warning method and device, electronic equipment and storage medium |
| CN113496437A (en) * | 2020-04-01 | 2021-10-12 | 凌群电脑股份有限公司 | Centralized on-line monitoring system |
| CN110727586B (en) * | 2019-09-16 | 2024-05-31 | 平安科技（深圳）有限公司 | Host abnormality monitoring method and device, storage medium and server |
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Application publication date: 20150311 |