CN110797833B - Real-time monitoring and fault diagnosis device of secondary equipment on-line monitoring system - Google Patents
Real-time monitoring and fault diagnosis device of secondary equipment on-line monitoring system Download PDFInfo
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- CN110797833B CN110797833B CN201911065916.4A CN201911065916A CN110797833B CN 110797833 B CN110797833 B CN 110797833B CN 201911065916 A CN201911065916 A CN 201911065916A CN 110797833 B CN110797833 B CN 110797833B
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H1/00—Details of emergency protective circuit arrangements
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H1/00—Details of emergency protective circuit arrangements
- H02H1/0092—Details of emergency protective circuit arrangements concerning the data processing means, e.g. expert systems, neural networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H3/00—Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition with or without subsequent reconnection ; integrated protection
- H02H3/006—Calibration or setting of parameters
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H3/00—Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition with or without subsequent reconnection ; integrated protection
- H02H3/02—Details
- H02H3/04—Details with warning or supervision in addition to disconnection, e.g. for indicating that protective apparatus has functioned
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
- Y04S10/52—Outage or fault management, e.g. fault detection or location
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- Evolutionary Computation (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention provides a real-time monitoring and fault diagnosis device of a secondary equipment on-line monitoring system, which comprises: the parameter setting module is used for setting alarm types, alarm levels, corresponding alarm contacts and connection parameters of the device and the secondary equipment online monitoring system; the information acquisition interface module is used for automatically acquiring the state domain of a station and the state domain of the secondary equipment in a database of the online monitoring system of the secondary equipment according to the set frequency, and acquiring state change information when the state is changed from 'input' to 'exit'; updating the station state information and the equipment state information into a device cache; the intelligent analysis module is used for carrying out intelligent fault analysis according to the cached station state information and the equipment state information, generating corresponding alarm information when the alarm condition is met, and storing the alarm information into the device cache; the invention can realize the intelligent diagnosis function of the secondary equipment fault.
Description
Technical Field
The invention relates to the technical field of power system protection, in particular to a real-time monitoring and fault diagnosis device of an online monitoring system of secondary equipment.
Background
At present, the secondary equipment online monitoring system has the functions of protecting the operating condition and monitoring of various devices, calling the secondary equipment constant value and inquiring, and analyzing faults and action behaviors, and meets part of application requirements, and the following defects exist in practical application:
the system lacks the function of pushing abnormal state information of a station and a secondary equipment access system in real time, only depends on the real-time monitoring of maintenance personnel, influences the working efficiency and is not beneficial to the quick processing of abnormal faults of the secondary equipment; the intelligent diagnosis function of the faults of the plant station and the secondary equipment of the access system is lacked, when the abnormity or the faults occur, the reasons need to be analyzed manually step by step according to the operation specification, the intelligent analysis means is lacked, the reason of the abnormity or the faults is difficult to be determined quickly, and the improvement of the defect processing efficiency is restricted.
Disclosure of Invention
The invention aims to solve the problem that an online monitoring system of secondary equipment lacks an abnormal information real-time pushing function, and provides a real-time monitoring and fault diagnosis device of the online monitoring system of the secondary equipment, which realizes an intelligent fault diagnosis function of the secondary equipment and enhances the capability of mastering the operation condition of the accessed secondary equipment. The technical scheme adopted by the invention is as follows:
a real-time monitoring and fault diagnosis device of a secondary equipment online monitoring system comprises:
the parameter setting module is used for setting alarm types, alarm levels, corresponding alarm contacts and connection parameters of the device and the secondary equipment online monitoring system;
the information acquisition interface module is used for automatically acquiring the state domain of a station and the state domain of the secondary equipment in a database of the online monitoring system of the secondary equipment according to the set frequency, and acquiring state change information when the state is changed from 'input' to 'exit'; updating the station state information and the equipment state information into a device cache;
the intelligent analysis module is used for carrying out intelligent fault analysis according to the cached station state information and the equipment state information, generating corresponding alarm information when the alarm condition is met, and storing the alarm information into the device cache;
the warning information sending module is used for acquiring the latest warning information from the device cache and sending the latest warning information to the corresponding warning contact;
and the data storage module is used for storing the station state information, the equipment state information and the alarm information in the device cache.
Further, the station state information and the equipment state information are stored in the device for caching in a two-dimensional chain structure;
the two-dimensional chain structure comprises a plurality of records which are connected in a chain manner;
each record comprises protection substation information and corresponding protection equipment information;
the protection substation information includes: a time field, a station id field, a station name field, a station state field, a next device field, and a next station field; wherein the next factory site field is associated with a record of the next factory site; the next device field is associated with the next device in the station;
the protection device information includes: a time field, a device id field, a device name field, a next device field, and a device status field; wherein the next device field is associated with a next device in the local station.
Further, the fault analysis process of the intelligent analysis module comprises:
step S1, initializing, and clearing the counter;
step S2, inquiring the station state according to the set frequency;
step S3, judging whether the station status is 'exit', if yes, inquiring a corresponding frequent exit status index pftc as 1, and turning to step S6; if not, go to step S4;
step S4, inquiring the equipment state in the station according to the set frequency;
step S5, judging whether the equipment state is 'exit', if yes, inquiring the corresponding frequent fault state index pfgz as 1, and turning to step S6; if not, go to step S6 directly;
step S6, the counter increments by 1;
step S7, judging whether the counter counts up to the total inquiry times corresponding to the inquiry frequency within one hour; if not, returning to the step S2, if yes, entering the step S8;
step S8, summing the values of the frequent quit state index pftc corresponding to each query, and judging whether the sum is equal to the total number of queries corresponding to the query frequency within one hour; if yes, go to step S9, otherwise go to step S13;
step S9, marking the corresponding continuous quit index Cxtc as 1 in the current hour;
step S10, judging whether the corresponding continuous exit indexes Cxtc of hours before the current time are all 1, if yes, entering step S11, otherwise, entering step S12;
step S11, organizing alarm information, wherein the alarm type is 'station continuous exit'; returning to step S2;
step S12, organizing alarm information, wherein the alarm type is 'station exit'; returning to step S2;
step S13, judging whether the sum of the pftc values in one hour is greater than or equal to the set times and the pftc is discrete; if yes, go to step S14, otherwise go to step S15;
step S14, organizing alarm information, wherein the alarm type is 'station frequently quit'; returning to step S2;
step S15, summing the values of the frequent fault state index pfgz corresponding to each query, and judging whether the sum is equal to the total query times corresponding to the query frequency within one hour; if yes, go to step S16, otherwise go to step S20;
step S16, recording the corresponding continuous fault index Cxgz as 1 in the current hour;
step S17, judging whether the corresponding continuous fault indexes Cxgz are all 1 hours before the current time, if yes, entering step S18, otherwise, entering step S19;
step S18, organizing alarm information, wherein the alarm type is 'equipment continuous fault in station'; returning to step S2;
step S19, organizing alarm information, wherein the alarm type is 'equipment failure in station'; returning to step S2;
step S20, judging whether the sum of pfgz values in one hour is more than or equal to the set times and the pfgz is discrete; if yes, go to step S21;
and step S21, organizing the alarm information, wherein the alarm type is 'frequent failure of equipment in the station', and returning to step S2.
Further, the connection parameters of the device and the secondary equipment online monitoring system comprise: the device IP address and the information source end IP address.
Further, the data storage module respectively manages two mysql databases which are backup with each other in a dual-cpu mode, and performs data backup with each other in an HA mode.
Further, the alarm information sending module adopts a short message alarm module.
The invention has the advantages that:
1) the abnormal state information of the plant station and the secondary equipment is actively acquired, the warning information is pushed in real time, and the system fault processing response time is shortened.
2) The intelligent diagnosis of equipment faults enhances the intelligent level of the online monitoring system of the secondary equipment.
Drawings
FIG. 1 is a schematic structural diagram of the present invention.
FIG. 2 is a schematic diagram of a two-dimensional chain structure of state information according to the present invention.
Fig. 3 is a flow chart of the fault analysis of the intelligent analysis module of the present invention.
Detailed Description
The invention is further illustrated by the following specific figures and examples.
As shown in fig. 1, the real-time monitoring and fault diagnosis apparatus (hereinafter referred to as apparatus) of the online monitoring system for secondary devices provided by the present invention includes a parameter setting module, an information obtaining interface module, an intelligent analysis module, an alarm information sending module, and a data storage module;
the device is connected with the secondary equipment online monitoring system through the Ethernet;
parameter setting module
The device setting interface can be accessed through a debugging port of the device connected with the super terminal, and parameters such as alarm category, alarm level, corresponding alarm contact, IP address of the device, IP address of an information source end and the like are set according to prompts;
(II) information acquisition interface module
The information acquisition interface module is used for automatically acquiring the state domain of a station and the state domain of the secondary equipment in a database of the online monitoring system of the secondary equipment according to the set frequency, and acquiring state change information when the state is changed from 'input' to 'exit'; updating the station state information and the equipment state information into a device cache in a two-dimensional chain structure;
in the embodiment, the information acquisition interface module automatically acquires the state domain of the plant station and the state domain of the secondary equipment once every minute; the information acquisition interface module can be realized by programming, and is specifically a program module for automatically reading the state domain of a station and the state domain of the secondary equipment in the online monitoring system database of the secondary equipment;
the two-dimensional chain structure is shown in FIG. 2 and comprises a plurality of records, wherein the records are connected in a chain manner;
each record comprises protection substation information and corresponding protection equipment information;
the protection substation information includes: a time field, a station id field, a station name field, a station state field, a next device field, and a next station field; wherein the next factory site field is associated with a record of the next factory site; the next device field is associated with the next device in the station;
the protection device information includes: a time field, a device id field, a device name field, a next device field, and a device status field; wherein the next device field is associated with a next device in the local plant;
(III) Intelligent analysis module
The intelligent analysis module is used for carrying out intelligent fault analysis according to the cached station state information and the equipment state information, generating corresponding alarm information when the alarm condition is met, and storing the alarm information into the device for caching; further organizing the short message alarm content;
as shown in fig. 3, the fault analysis process of the intelligent analysis module includes:
step S1, initializing, and clearing the counter;
step S2, inquiring the station state according to the set frequency; for example, queries once per minute;
step S3, judging whether the station status is 'exit', if yes, inquiring a corresponding frequent exit status index pftc as 1, and turning to step S6; if not, go to step S4;
the% in FIG. 3 is the remainder operation, as follows;
step S4, inquiring the equipment state in the station according to the set frequency; for example, queries once per minute;
step S5, judging whether the equipment state is 'exit', if yes, inquiring the corresponding frequent fault state index pfgz as 1, and turning to step S6; if not, go to step S6 directly;
step S6, the counter increments by 1;
step S7, judging whether the counter counts up to the total inquiry times corresponding to the inquiry frequency within one hour; if not, returning to the step S2, if yes, entering the step S8;
for example, if the query frequency is once a minute, the total number of queries per hour is 60, and if the counter count reaches 60 times, the process proceeds to step S8;
step S8, summing the values of the frequent quit state index pftc corresponding to each query, and judging whether the sum is equal to the total number of queries corresponding to the query frequency within one hour; if yes, go to step S9, otherwise go to step S13;
for example, if the query frequency is once a minute, the total number of queries per hour is 60, and if the sum of the values of pftc corresponding to the queries is equal to 60, the step S9 is performed;
step S9, marking the corresponding continuous quit index Cxtc as 1 in the current hour;
step S10, judging whether the corresponding continuous exit indexes Cxtc of hours before the current time are all 1, if yes, entering step S11, otherwise, entering step S12;
step S11, organizing alarm information, wherein the alarm type is 'station continuous exit'; returning to step S2;
step S12, organizing alarm information, wherein the alarm type is 'station exit'; returning to step S2;
step S13, judging whether the sum of the pftc values in one hour is greater than or equal to the set times and the pftc is discrete; if yes, go to step S14, otherwise go to step S15;
the set number of times may be 20, and the pftc discretization means that the condition that the frequent fault state index pfgz is recorded as 1 does not occur continuously every minute;
step S14, organizing alarm information, wherein the alarm type is 'station frequently quit'; returning to step S2;
step S15, summing the values of the frequent fault state index pfgz corresponding to each query, and judging whether the sum is equal to the total query times corresponding to the query frequency within one hour; if yes, go to step S16, otherwise go to step S20;
for example, if the query frequency is once a minute, the total number of queries per hour is 60, and if the sum of the pfgz values corresponding to the queries is equal to 60, the step S16 is performed;
step S16, recording the corresponding continuous fault index Cxgz as 1 in the current hour;
step S17, judging whether the corresponding continuous fault indexes Cxgz are all 1 hours before the current time, if yes, entering step S18, otherwise, entering step S19;
step S18, organizing alarm information, wherein the alarm type is 'equipment continuous fault in station'; returning to step S2;
step S19, organizing alarm information, wherein the alarm type is 'equipment failure in station'; returning to step S2;
step S20, judging whether the sum of pfgz values in one hour is more than or equal to the set times and the pfgz is discrete; if yes, go to step S21;
and step S21, organizing the alarm information, wherein the alarm type is 'frequent failure of equipment in the station', and returning to step S2.
(IV) alarm information sending module
The alarm information sending module is used for acquiring the latest alarm information from the device cache and sending the latest alarm information to the corresponding alarm contact;
the alarm information sending module can adopt a short message alarm module;
(V) data storage module
The data storage module is internally provided with two mysql databases which are backuped mutually, and the station state information, the equipment state information and the alarm information in the device cache are stored in an incremental mode;
the data storage module respectively manages two mysql databases which are backup with each other in a dual-cpu mode, and performs data mutual backup in an HA mode.
The device is simple and visual in use, the device is associated with the secondary equipment online monitoring system through a direct connection network cable, the device automatically acquires the state change data of the secondary equipment and analyzes the state change data into corresponding alarm data, the alarm information is sent through the short message, and meanwhile, the state data and the alarm information are stored in the data storage module, so that the integrity of the information is ensured.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention has been described in detail with reference to examples, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.
Claims (4)
1. A real-time monitoring and fault diagnosis device of a secondary equipment online monitoring system is characterized by comprising:
the parameter setting module is used for setting alarm types, alarm levels, corresponding alarm contacts and connection parameters of the device and the secondary equipment online monitoring system;
the information acquisition interface module is used for automatically acquiring the state domain of a station and the state domain of the secondary equipment in a database of the online monitoring system of the secondary equipment according to the set frequency, and acquiring state change information when the state is changed from 'input' to 'exit'; updating the station state information and the equipment state information into a device cache;
the intelligent analysis module is used for carrying out intelligent fault analysis according to the cached station state information and the equipment state information, generating corresponding alarm information when the alarm condition is met, and storing the alarm information into the device cache;
the warning information sending module is used for acquiring the latest warning information from the device cache and sending the latest warning information to the corresponding warning contact;
the data storage module is used for storing the station state information, the equipment state information and the alarm information in the device cache;
the station state information and the equipment state information are stored in the device for caching in a two-dimensional chain structure;
the two-dimensional chain structure comprises a plurality of records which are connected in a chain manner;
each record comprises protection substation information and corresponding protection equipment information;
the protection substation information includes: a time field, a station id field, a station name field, a station state field, a next device field, and a next station field; wherein the next factory site field is associated with a record of the next factory site; the next device field is associated with the next device in the station;
the protection device information includes: a time field, a device id field, a device name field, a next device field, and a device status field; wherein the next device field is associated with a next device in the local plant;
the fault analysis process of the intelligent analysis module comprises the following steps:
step S1, initializing, and clearing the counter;
step S2, inquiring the station state according to the set frequency;
step S3, judging whether the station status is 'exit', if yes, inquiring a corresponding frequent exit status index pftc as 1, and turning to step S6; if not, go to step S4;
step S4, inquiring the equipment state in the station according to the set frequency;
step S5, judging whether the equipment state is 'exit', if yes, inquiring the corresponding frequent fault state index pfgz as 1, and turning to step S6; if not, go to step S6 directly;
step S6, the counter increments by 1;
step S7, judging whether the counter counts up to the total inquiry times corresponding to the inquiry frequency within one hour; if not, returning to the step S2, if yes, entering the step S8;
step S8, summing the values of the frequent quit state index pftc corresponding to each query, and judging whether the sum is equal to the total number of queries corresponding to the query frequency within one hour; if yes, go to step S9, otherwise go to step S13;
step S9, marking the corresponding continuous quit index Cxtc as 1 in the current hour;
step S10, judging whether the corresponding continuous exit indexes Cxtc of hours before the current time are all 1, if yes, entering step S11, otherwise, entering step S12;
step S11, organizing alarm information, wherein the alarm type is 'station continuous exit'; returning to step S2;
step S12, organizing alarm information, wherein the alarm type is 'station exit'; returning to step S2;
step S13, judging whether the sum of the pftc values in one hour is greater than or equal to the set times and the pftc is discrete; if yes, go to step S14, otherwise go to step S15;
step S14, organizing alarm information, wherein the alarm type is 'station frequently quit'; returning to step S2;
step S15, summing the values of the frequent fault state index pfgz corresponding to each query, and judging whether the sum is equal to the total query times corresponding to the query frequency within one hour; if yes, go to step S16, otherwise go to step S20;
step S16, recording the corresponding continuous fault index Cxgz as 1 in the current hour;
step S17, judging whether the corresponding continuous fault indexes Cxgz are all 1 hours before the current time, if yes, entering step S18, otherwise, entering step S19;
step S18, organizing alarm information, wherein the alarm type is 'equipment continuous fault in station'; returning to step S2;
step S19, organizing alarm information, wherein the alarm type is 'equipment failure in station'; returning to step S2;
step S20, judging whether the sum of pfgz values in one hour is more than or equal to the set times and the pfgz is discrete; if yes, go to step S21;
and step S21, organizing the alarm information, wherein the alarm type is 'frequent failure of equipment in the station', and returning to step S2.
2. The real-time monitoring and fault diagnosing apparatus of the secondary equipment on-line monitoring system as claimed in claim 1,
the connection parameters of the device and the secondary equipment online monitoring system comprise: the device IP address and the information source end IP address.
3. The real-time monitoring and fault diagnosing apparatus of the secondary equipment on-line monitoring system as claimed in claim 1,
the data storage module respectively manages two mysql databases which are backup with each other in a dual-cpu mode, and performs data mutual backup in an HA mode.
4. The real-time monitoring and fault diagnosing apparatus of the secondary equipment on-line monitoring system as claimed in claim 1,
the alarm information sending module adopts a short message alarm module.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107276046A (en) * | 2017-06-16 | 2017-10-20 | 国网辽宁省电力有限公司电力科学研究院 | Intelligent grid realizes the abnormal Intelligent Recognition of relay protection and pre-warning system and method |
| CN109639477A (en) * | 2018-12-06 | 2019-04-16 | 国网陕西省电力公司宝鸡供电公司 | A kind of secondary device in-service monitoring and analysis system and method |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107276046A (en) * | 2017-06-16 | 2017-10-20 | 国网辽宁省电力有限公司电力科学研究院 | Intelligent grid realizes the abnormal Intelligent Recognition of relay protection and pre-warning system and method |
| CN109639477A (en) * | 2018-12-06 | 2019-04-16 | 国网陕西省电力公司宝鸡供电公司 | A kind of secondary device in-service monitoring and analysis system and method |
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