CN105491164A - SIS network diagnosis method based on distributed intelligent monitoring devices and data analysis center - Google Patents

SIS network diagnosis method based on distributed intelligent monitoring devices and data analysis center Download PDF

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Publication number
CN105491164A
CN105491164A CN201610037323.7A CN201610037323A CN105491164A CN 105491164 A CN105491164 A CN 105491164A CN 201610037323 A CN201610037323 A CN 201610037323A CN 105491164 A CN105491164 A CN 105491164A
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China
Prior art keywords
information
surveillance device
intelligent surveillance
message
data analysis
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CN201610037323.7A
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CN105491164B (en
Inventor
马雷
刘曙元
郭峰
马明金
程睿君
王振华
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Guoneng Xinkong Internet Technology Co Ltd
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Beijing Huadian Tianren Power Controlling Technology Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/06Management of faults, events, alarms or notifications
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Computer And Data Communications (AREA)
  • Testing And Monitoring For Control Systems (AREA)

Abstract

The invention provides an SIS network diagnosis method based on distributed intelligent monitoring devices and a data analysis center. The system according to the SIS network diagnosis method is composed of the distributed intelligent monitoring devices and the data analysis center. The intelligent monitoring devices are distributed on the network terminals of all levels of SIS nodes to monitor and diagnose activity of the terminals and the programs thereof and timely report the activity to the upper level of node. The data analysis center is arranged at the top layer of node and is responsible for receiving and summarizing information of all the intelligent monitoring devices and performing analysis and processing so as to form a network diagnosis report to be displayed in real time and tour-inspected by IT maintenance personnel.

Description

Based on the SIS network diagnosis method of distributed intelligence monitoring arrangement and data analysis center
Technical field
The present invention relates to the network diagnosis method of a kind of plant level supervisory information system (SIS), particularly a kind of SIS network diagnosis method based on distributed intelligence monitoring arrangement and data analysis center.
Background technology
Power plant level supervisory information system (SIS) is the level of factory automatic information system integrating process Real-Time Monitoring, optimal control and Technical innova-tion, be be in thermal power plant Distributed Control System DCS and a set of real-time plant level supervisory information system between relevant auxiliary stored program controlled and full factory management information system MIS, major function comprises the operating condition monitoring of unit, statistical report form, performance calculating, power consumption analysis, performance analysis and failure diagnosis etc.
SIS needs by the computing engines such as data mining, Data treatment and optimization, realizes analyzing the operating condition of unit and even full factory, diagnose and optimizing, and for realizing computational analysis accurately and timely, then the real-time of system is most important.And current each power plant SIS lacks the judgement to real-time property, even if by the means such as trend analysis discovered data interrupt information, also cannot determine interruption position, and due to discovery time too late, cause the shortage of data that cannot retrieve to system.
Although the network management software is in the market various in style, and realized modularization framework, but due to all only for local area network (LAN), the network configuration of the inter-network locks such as similar SIS, cross-system cannot be applied to, therefore current at the SIS network O&M performed and finished, all only rest on the level going wrong and manually investigate one by one, be difficult to ensure the accurate in real time of SIS data, availability is lower.
Summary of the invention
For improving SIS availability, ensureing SIS real-time and reliability, reducing the working strength of operation maintenance personnel.The invention provides a set of intelligent surveillance device and be distributed in each node in SIS network, in real time monitor message is fed back to data analysis center, form SIS network diagnosis report.The present invention will effectively address the problem: help attendant's Timeliness coverage SIS data disruption; Help attendant to locate SIS data interruption position, reduce the input of preventive maintenance time; Attendant's combing is helped to sum up SIS network stabilization and availability.
The invention discloses a kind of SIS network diagnosis method based on distributed intelligence monitoring arrangement and data analysis center, described method comprises the steps:
Step 1: each interface message processor (IMP) intelligent surveillance device gathers native network communication condition information and running state of programs information;
Step 2: Information encapsulation described in step 1 is become data message, and sent to database layer by udp protocol in real time;
Step 3: the message information of each interface message processor (IMP) described in database layer intelligent surveillance device receiving step 1, if receive time-out, forms time-out information;
Step 4: database layer intelligent surveillance device gathers native network communication condition information and running state of programs information;
Step 5: database layer intelligent surveillance device encapsulation step 3 and the information described in step 4 form message, and are sent to application service layer by udp protocol in real time;
Step 6: the message information of database layer described in application service layer intelligent surveillance device receiving step 5, if receive time-out, forms time-out information;
Step 7: application service layer intelligent surveillance device gathers native network communication condition information and running state of programs information;
Step 8: application service layer intelligent surveillance device encapsulation step 6 and the information described in step 7 form message, and are sent to data analysis center by udp protocol in real time;
Step 9: the message information described in data analysis center analyzing step 8, forms diagnosis report, if receive time-out, then forms the warning message with application service layer communication abnormality, feeds back to attendant.
The present invention, relative to prior art, has following technique effect:
1) real-time.This method possesses the feature of real-time, can feed back in time, helps the operation maintenance personnel very first time to note abnormalities.
2) accuracy.Because intelligent surveillance device is distributed in any node in SIS network, so the diagnosis report of data analysis center accurately can locate out-of-the way position, effectively reduce the repair time.
3) long-lasting.The diagnosis report of data analysis center can longer-term storage, and this will provide foundation for interface (software and hardware) stability assessment, also will provide foundation for system synthesis availability calculates.
4) autgmentability.The network monitoring that this method is isolated for across a network, not only can realize the diagnosis of SIS network, also can be applied to the network diagnosis of other cross-systems.
Accompanying drawing explanation
Fig. 1 is according to SIS schematic network structure of the present invention;
Fig. 2 is the structure chart according to intelligent surveillance device of the present invention;
Fig. 3 is according to intellectual analysis network data flow graph of the present invention.
Embodiment
Structure of the present invention as shown in Figure 1, installs intelligent surveillance device in each network node of SIS, utilizes SIS network by monitor message System to data analysis center, and forms diagnosis report real-time exhibition.When there is Network Abnormal, data analysis center will carry out color change according to abnormal rank or play window reporting to the police.
As shown in Figure 2, according to SIS network configuration, altogether a whole set of intelligent surveillance device is divided into three grades of distributions, the first order is interface layer, the second level is database layer, and the third level is application service layer, and monitor message finally in order will be aggregated into data analysis center by application service layer.
As shown in Figure 3, distributed intelligence monitoring arrangement of the present invention is divided into interface message processor (IMP) monitoring arrangement, and database layer monitoring arrangement and application service layer monitoring arrangement, these monitoring arrangements and data analysis center form intellectual analysis network jointly.Specifically comprise the steps:
Step 1: interface message processor (IMP) n intelligent surveillance device gathers native network communication condition information and running state of programs information, these information comprise the data message information whether receiving control system, the activity (such as whether interface routine normally runs) of native application, native network is connective, stability;
Step 2: Information encapsulation described in step 1 is become data message, and sent to database layer by udp protocol in real time;
Step 3: the message information of interface message processor (IMP) n described in database n intelligent surveillance device receiving step 1, if receive time-out, forms time-out information, time-out is reported to the police;
Step 4: database n intelligent surveillance device gathers native network communication condition information and running state of programs information, whether these information comprise affiliated interface message processor (IMP) has exception, whether database Cluster Service has abnormal (if adopting the mode of trooping to dispose), whether disk array disk has abnormal (if adopting the mode of trooping to dispose), native application activity (such as whether database program normally runs), native network is connective, stability;
Step 5: database n intelligent surveillance device encapsulation step 3 and the information described in step 4 form message, and are sent to application service layer by udp protocol in real time;
Step 6: the message information of database n described in application server n intelligent surveillance device receiving step 5, if receive time-out, forms time-out information, time-out is reported to the police;
Step 7: application server n intelligent surveillance device gathers native network communication condition information and running state of programs information, whether these information comprise affiliated database server has exception, native application activity (such as the application program such as distribution platform, computing platform), native network is connective, stability;
Step 8: application server n intelligent surveillance device encapsulation step 6 and the information described in step 7 form message, and are sent to data analysis center by udp protocol in real time;
Step 9: the message information described in data analysis center analyzing step 8, forms diagnosis report; If receive time-out, then form the warning message with application service layer communication abnormality.Specific works comprises the monitor message of resolving each monitoring arrangement, understand the working condition of each level SIS equipment, if monitor message fails real-time reception, interval computing time (time-out calculates), show diagnosis report in real time, and generate early warning or warning according to abnormal conditions.Diagnosis report and warning message Real-time Feedback, to attendant, can generate annual summary report with the equipment warning long-term existence problem simultaneously, store diagnosis report to maintain easily personnel's historical query.

Claims (1)

1. the SIS network diagnosis method based on distributed intelligence monitoring arrangement and data analysis center, based on the thermal power plant SIS network architecture, by monitoring nodal information at different levels, and utilize SIS legacy network to transfer to data analysis center, formation last diagnostic is reported, described distributed intelligence monitoring arrangement comprises interface message processor (IMP) intelligent surveillance device, database layer intelligent surveillance device and application service layer intelligent surveillance device, it is characterized in that:
Step 1: each interface message processor (IMP) intelligent surveillance device gathers native network communication condition information and running state of programs information;
Step 2: Information encapsulation described in step 1 is become data message, and sent to database layer by udp protocol in real time;
Step 3: the message information of each interface message processor (IMP) described in database layer intelligent surveillance device receiving step 1, if receive time-out, forms time-out information;
Step 4: database layer intelligent surveillance device gathers native network communication condition information and running state of programs information;
Step 5: database layer intelligent surveillance device encapsulation step 3 and the information described in step 4 form message, and are sent to application service layer by udp protocol in real time;
Step 6: the message information of database layer described in application service layer intelligent surveillance device receiving step 5, if receive time-out, forms time-out information;
Step 7: application service layer intelligent surveillance device gathers native network communication condition information and running state of programs information;
Step 8: application service layer intelligent surveillance device encapsulation step 6 and the information described in step 7 form message, and are sent to data analysis center by udp protocol in real time;
Step 9: the message information described in data analysis center analyzing step 8, forms diagnosis report, if receive time-out, then forms the warning message with application service layer communication abnormality, feeds back to attendant.
CN201610037323.7A 2016-01-20 2016-01-20 SIS network diagnosis methods based on distributed intelligence monitoring arrangement and data analysis center Active CN105491164B (en)

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1694025A (en) * 2005-04-28 2005-11-09 南京科远控制工程有限公司 Automatic control system based on artificial intelligence for heat-engine plant
CN1801018A (en) * 2005-11-11 2006-07-12 南京科远控制工程有限公司 Interface method and apparatus for plant-level monitoring system and decentralized control system for power plant
US20100004761A1 (en) * 2008-07-02 2010-01-07 Saudi Arabian Oil Company Distributed and adaptive smart logic with multi-communication apparatus for reliable safety system shutdown
CN203773321U (en) * 2014-03-12 2014-08-13 内蒙古电力勘测设计院 Power plant SIS/MIS monitor and management information integrated system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1694025A (en) * 2005-04-28 2005-11-09 南京科远控制工程有限公司 Automatic control system based on artificial intelligence for heat-engine plant
CN1801018A (en) * 2005-11-11 2006-07-12 南京科远控制工程有限公司 Interface method and apparatus for plant-level monitoring system and decentralized control system for power plant
US20100004761A1 (en) * 2008-07-02 2010-01-07 Saudi Arabian Oil Company Distributed and adaptive smart logic with multi-communication apparatus for reliable safety system shutdown
CN203773321U (en) * 2014-03-12 2014-08-13 内蒙古电力勘测设计院 Power plant SIS/MIS monitor and management information integrated system

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Address after: 101303 2nd floor, building 307, Guodian New Energy Institute, 9 Yingcai North 2nd Street, future science and Technology City, Changping District, Beijing

Patentee after: Guoneng xinkong Internet Technology Co.,Ltd.

Address before: Building 1, yard 16, West Fourth Ring Middle Road, Haidian District, Beijing 100039

Patentee before: BEIJING HUADIAN TIANREN ELECTRIC POWER CONTROL TECHNOLOGY Co.,Ltd.

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