CN103066699A - Online monitoring alarm system and modeling method thereof - Google Patents
Online monitoring alarm system and modeling method thereof Download PDFInfo
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- CN103066699A CN103066699A CN2012105538168A CN201210553816A CN103066699A CN 103066699 A CN103066699 A CN 103066699A CN 2012105538168 A CN2012105538168 A CN 2012105538168A CN 201210553816 A CN201210553816 A CN 201210553816A CN 103066699 A CN103066699 A CN 103066699A
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Abstract
The invention discloses an online monitoring alarm system modeling method which comprises the following steps: (1) system models of N:1 possessive relation is sequentially built according to an alarm item layer, an alarm classifying layer, a device layer, a station layer and an area layer; (2) an alarm level of the alarm classifying layer is the highest alarm level among that of the lower alarm items, an alarm level of the device layer is the highest alarm level among that of the lower alarm classification, an alarm level of the station layer is the highest alarm level among that of the lower devices, and an alarm level of the area layer is the highest alarm level among that of the lower stations. According to the modeling method, statistics and analysis can be conducted to a power device running condition of a concerned area, so that bases can be provided to power device state overhauling, and stability and reliability can be offered to running of a power grid. The invention further discloses an online monitoring alarm system based on the modeling method.
Description
Technical field
The invention belongs to field of power, particularly a kind of on-line monitoring early warning system and modeling method thereof.
Background technology
The safety of equipment is the basis of power grid security, reliable, stable operation, to equipment carry out effectively, accurately monitoring and early warning, be the important channel of improving power supply reliability and operation of power networks intelligent level.Along with the continuous expansion of electrical network scale, electrical network monitors and the operation maintenance workload increases day by day, and it is also increasingly universal that long-range working condition to transforming plant primary equipment is carried out the technology of Real-Time Monitoring and analysis.Guizhou Power Grid company has built Guizhou Power Grid converting equipment on-line monitoring system, and the electric power primary equipment in whole Guizhou Province is carried out remote monitoring and analysis.
Complete feasible early warning rule is the basis of realizing the equipment on-line monitoring data early warning.In order to overcome the miscellaneous early warning rule of current different manufacturers, realize with unified model the whole province's equipment being carried out online monitoring data, must formulate complete feasible Early-warning Model and early warning system thereof.
Summary of the invention
Purpose of the present invention, be to provide a kind of on-line monitoring early warning system and modeling method thereof, it can carry out statistical analysis to the power equipment ruuning situation in the area of paying close attention to, and for Diagnostic Examination And Repair of Electric Power Facilities provides foundation, improves stability and the reliability of operation of power networks.
In order to reach above-mentioned purpose, solution of the present invention is:
A kind of on-line monitoring early warning system comprises the system model that concerns under the N:1 that sets up successively by early warning clauses and subclauses layer, early warning classification layer, mechanical floor, factory's station layer and area layer; The warning level of early warning classification layer is highest for warning level in its lower early warning clauses and subclauses, the warning level of mechanical floor is highest for warning level in its lower early warning classification, the warning level of factory's station layer is highest for warning level in its lower equipment, and the warning level of area layer is highest for warning level in its station of going to the factory.
The attribute of above-mentioned early warning clauses and subclauses layer comprises red early warning higher limit, red early warning lower limit, yellow early warning higher limit, yellow early warning lower limit, the red early warning upper limit is effective, effective, the yellow early warning lower limit of effective, the yellow early warning upper limit of red early warning lower limit is effective and warning level; Warning level is followed successively by red early warning, yellow early warning and normal from high to low.
Above-mentioned area layer, factory's station layer, mechanical floor and early warning classification layer are set up by tree and are had warning level attribute, mechanical floor to also have equipment electric pressure and device type attribute.
Above-mentioned early warning classification layer comprises oil chromatography monitoring and warning, capacitive equipment monitoring and warning and lightning arrester monitoring and warning; Wherein, the early warning clauses and subclauses layer under the classification of oil chromatography monitoring and warning comprises that total hydrocarbon is out-of-limit, acetylene is out-of-limit, hydrogen is out-of-limit and the total hydrocarbon growth rate is out-of-limit; Early warning clauses and subclauses under the classification of capacitive equipment monitoring and warning comprise that the dielectric loss value is out-of-limit, the dielectric loss growth rate is out-of-limit, capacitance value is out-of-limit and the capacitance growth rate is out-of-limit; Early warning clauses and subclauses under the classification of lightning arrester monitoring and warning comprise that current in resistance property is out-of-limit.
A kind of modeling method of foregoing on-line monitoring early warning system comprises the steps:
(1) sets up successively the system model that concerns under the N:1 by early warning clauses and subclauses layer, early warning classification layer, mechanical floor, factory's station layer and area layer;
(2) warning level of early warning classification layer is highest for warning level in its lower early warning clauses and subclauses, the warning level of mechanical floor is highest for warning level in its lower early warning classification, the warning level of factory's station layer is highest for warning level in its lower equipment, and the warning level of area layer is highest for warning level in its station of going to the factory.
The attribute of above-mentioned early warning clauses and subclauses layer comprises red early warning higher limit, red early warning lower limit, yellow early warning higher limit, yellow early warning lower limit, the red early warning upper limit is effective, effective, the yellow early warning lower limit of effective, the yellow early warning upper limit of red early warning lower limit is effective and warning level.
Above-mentioned warning level is followed successively by red early warning, yellow early warning and normal from high to low.
Above-mentioned area layer, factory's station layer, mechanical floor and early warning classification layer are set up by tree and are had warning level attribute, mechanical floor to also have equipment electric pressure and device type attribute.
Above-mentioned early warning classification layer comprises oil chromatography monitoring and warning, capacitive equipment monitoring and warning and lightning arrester monitoring and warning, and the early warning classification criterion device type below the equipment is determined.
Early warning clauses and subclauses layer under the above-mentioned oil chromatography monitoring and warning classification comprises that total hydrocarbon is out-of-limit, acetylene is out-of-limit, hydrogen is out-of-limit and the total hydrocarbon growth rate is out-of-limit; Early warning clauses and subclauses under the classification of capacitive equipment monitoring and warning comprise that the dielectric loss value is out-of-limit, the dielectric loss growth rate is out-of-limit, capacitance value is out-of-limit and the capacitance growth rate is out-of-limit; Early warning clauses and subclauses under the classification of lightning arrester monitoring and warning comprise that current in resistance property is out-of-limit; Early warning clauses and subclauses under the early warning classification determine that according to device type red, yellow upper limit value and lower limit value is determined according to electric pressure in each early warning clauses and subclauses.
After adopting such scheme, the invention has the beneficial effects as follows: the present invention has set up monitoring model online, standard the hierarchy of on-line monitoring system, can understand machine operation at many levels and add up from area, factory station, equipment, early warning classification and early warning clauses and subclauses, provide technical support for setting up local level monitoring of equipment warning center.
Description of drawings
Fig. 1 is the structural representation of on-line monitoring early warning system among the present invention.
Embodiment
Below with reference to accompanying drawing, technical scheme of the present invention and beneficial effect are elaborated.
At first, the invention provides a kind of modeling method of on-line monitoring early warning system, comprise the steps:
(1) sets up successively the system model that concerns under the N:1 according to " Guizhou Power Grid company converting equipment on-line monitoring system early warning established standards " by early warning clauses and subclauses layer, early warning classification layer, mechanical floor, factory's station layer and area layer, the father's layer that is early warning clauses and subclauses layer is early warning classification layer, father's layer of early warning classification layer is mechanical floor, father's layer of device class layer is factory's station layer, father's layer of factory's station layer is the area layer, delete such as the father, then its lower all sons are also deleted, the son deletion does not affect the father, a father can contain N son, and a son only has a father;
(2) area layer, factory's station layer, mechanical floor and early warning classification layer are set up by tree and the warning level attribute are arranged, the warning level of early warning classification layer is highest for warning level in its lower early warning clauses and subclauses, the warning level of mechanical floor is highest for warning level in its lower early warning classification, the warning level of factory's station layer is highest for warning level in its lower equipment, and the warning level of area layer is highest for warning level in its station of going to the factory; Early warning clauses and subclauses layer comprise red early warning higher limit, red early warning lower limit, yellow early warning higher limit, yellow early warning lower limit, the red early warning upper limit effectively, effective, the yellow early warning lower limit of effective, the yellow early warning upper limit of red early warning lower limit effectively and the attribute such as warning level, described warning level is followed successively by red early warning, yellow early warning and normal from high to low.
As shown in Figure 1, it is the Organization Chart of on-line monitoring early warning system provided by the invention, system judges whether online monitoring data value (such as hydrogen) that terminal uploads in real time surpasses red higher limit, red lower limit, yellow higher limit and the yellow lower limit in the early warning clauses and subclauses, the warning level that surpasses yellow limit value and be no more than red limit value is for yellow, the warning level that surpasses red limit value be redness, and the limit value of two kinds of colors all is no more than as normally.If the corresponding active position of a certain limit value is false, then do not declare.
The main contents of each layer of model of on-line monitoring early warning system are as follows:
(1) on-line monitoring early warning clauses and subclauses layer main contents
Early warning clauses and subclauses under the oil chromatography monitoring and warning classification mainly contain that total hydrocarbon is out-of-limit, acetylene is out-of-limit, hydrogen is out-of-limit and the total hydrocarbon growth rate is out-of-limit; Early warning clauses and subclauses under the capacitive equipment monitoring and warning classification mainly contain that the dielectric loss value is out-of-limit, the dielectric loss growth rate is out-of-limit, capacitance value is out-of-limit and the capacitance growth rate is out-of-limit; It is out-of-limit that early warning clauses and subclauses under the classification of lightning arrester monitoring and warning mainly contain current in resistance property.Early warning clauses and subclauses under the early warning classification are determined according to device type, the early warning clauses and subclauses mainly contain red early warning higher limit, red early warning lower limit, yellow early warning higher limit, yellow early warning lower limit, the red early warning upper limit effectively, effective, the yellow early warning lower limit of effective, the yellow early warning upper limit of red early warning lower limit effectively and the attribute such as warning level, each limit value is determined according to electric pressure.
(2) on-line monitoring early warning classification layer main contents
Early warning classification layer mainly contains oil chromatography monitoring and warning, capacitive equipment monitoring and warning and lightning arrester monitoring and warning three classes, and the early warning classification criterion device type below the equipment determines that each class mainly contains the attributes such as title, warning level.
(3) on-line monitoring mechanical floor main contents
Mechanical floor mainly contains the attributes such as device name, warning level.
(4) on-line monitoring factory station layer main contents
Factory's station layer mainly contains the attributes such as factory's station name, warning level.
(5) on-line monitoring area layer main contents
The area layer mainly contains the attributes such as regional title, warning level.
In sum, the present invention is by to " the Guizhou Power Grid company converting equipment on-line monitoring system early warning established standards " layered modeling of classifying, by layer successively computational analysis from low to high, provide the equipment state early warning information by area, factory station, equipment, early warning classification and early warning clauses and subclauses, for Diagnostic Examination And Repair of Electric Power Facilities provides foundation, improve stability and the reliability of operation of power networks.
Above embodiment only for explanation technological thought of the present invention, can not limit protection scope of the present invention with this, every technological thought that proposes according to the present invention, and any change of doing on the technical scheme basis all falls within the protection range of the present invention.
Claims (10)
1. an on-line monitoring early warning system is characterized in that: comprise the system model that concerns under the N:1 that sets up successively by early warning clauses and subclauses layer, early warning classification layer, mechanical floor, factory's station layer and area layer; The warning level of early warning classification layer is highest for warning level in its lower early warning clauses and subclauses, the warning level of mechanical floor is highest for warning level in its lower early warning classification, the warning level of factory's station layer is highest for warning level in its lower equipment, and the warning level of area layer is highest for warning level in its station of going to the factory.
2. on-line monitoring early warning system as claimed in claim 1 is characterized in that: the attribute of described early warning clauses and subclauses layer comprise red early warning higher limit, red early warning lower limit, yellow early warning higher limit, yellow early warning lower limit, the red early warning upper limit effectively, effective, the yellow early warning lower limit of effective, the yellow early warning upper limit of red early warning lower limit effectively and warning level; Warning level is followed successively by red early warning, yellow early warning and normal from high to low.
3. on-line monitoring early warning system as claimed in claim 2 is characterized in that: described area layer, factory's station layer, mechanical floor and early warning classification layer are set up by tree and are had warning level attribute, mechanical floor to also have equipment electric pressure and device type attribute.
4. on-line monitoring early warning system as claimed in claim 1 is characterized in that: described early warning classification layer comprises oil chromatography monitoring and warning, capacitive equipment monitoring and warning and lightning arrester monitoring and warning; Wherein, the early warning clauses and subclauses layer under the classification of oil chromatography monitoring and warning comprises that total hydrocarbon is out-of-limit, acetylene is out-of-limit, hydrogen is out-of-limit and the total hydrocarbon growth rate is out-of-limit; Early warning clauses and subclauses under the classification of capacitive equipment monitoring and warning comprise that the dielectric loss value is out-of-limit, the dielectric loss growth rate is out-of-limit, capacitance value is out-of-limit and the capacitance growth rate is out-of-limit; Early warning clauses and subclauses under the classification of lightning arrester monitoring and warning comprise that current in resistance property is out-of-limit.
5. the modeling method of an on-line monitoring early warning system as claimed in claim 1 is characterized in that comprising the steps:
(1) sets up successively the system model that concerns under the N:1 by early warning clauses and subclauses layer, early warning classification layer, mechanical floor, factory's station layer and area layer;
(2) warning level of early warning classification layer is highest for warning level in its lower early warning clauses and subclauses, the warning level of mechanical floor is highest for warning level in its lower early warning classification, the warning level of factory's station layer is highest for warning level in its lower equipment, and the warning level of area layer is highest for warning level in its station of going to the factory.
6. the modeling method of on-line monitoring early warning system as claimed in claim 5 is characterized in that: the attribute of described early warning clauses and subclauses layer comprise red early warning higher limit, red early warning lower limit, yellow early warning higher limit, yellow early warning lower limit, the red early warning upper limit effectively, effective, the yellow early warning lower limit of effective, the yellow early warning upper limit of red early warning lower limit effectively and warning level.
7. the modeling method of on-line monitoring early warning system as claimed in claim 6 is characterized in that: described warning level is followed successively by red early warning, yellow early warning and normal from high to low.
8. the modeling method of on-line monitoring early warning system as claimed in claim 6, it is characterized in that: described area layer, factory's station layer, mechanical floor and early warning classification layer are set up by tree and are had warning level attribute, mechanical floor to also have equipment electric pressure and device type attribute.
9. the modeling method of on-line monitoring early warning system as claimed in claim 6, it is characterized in that: described early warning classification layer comprises oil chromatography monitoring and warning, capacitive equipment monitoring and warning and lightning arrester monitoring and warning, and the early warning classification criterion device type below the equipment is determined.
10. the modeling method of on-line monitoring early warning system as claimed in claim 9 is characterized in that: the early warning clauses and subclauses layer under the described oil chromatography monitoring and warning classification comprises that total hydrocarbon is out-of-limit, acetylene is out-of-limit, hydrogen is out-of-limit and the total hydrocarbon growth rate is out-of-limit; Early warning clauses and subclauses under the classification of capacitive equipment monitoring and warning comprise that the dielectric loss value is out-of-limit, the dielectric loss growth rate is out-of-limit, capacitance value is out-of-limit and the capacitance growth rate is out-of-limit; Early warning clauses and subclauses under the classification of lightning arrester monitoring and warning comprise that current in resistance property is out-of-limit; Early warning clauses and subclauses under the early warning classification determine that according to device type red, yellow upper limit value and lower limit value is determined according to electric pressure in each early warning clauses and subclauses.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104199433A (en) * | 2014-09-26 | 2014-12-10 | 胡景宗 | Centralized controlling auxiliary pre-warning system in heat-engine plant |
| CN105245000A (en) * | 2015-09-16 | 2016-01-13 | 广西电网有限责任公司电力科学研究院 | Parallel processing method for state early-warning information of transformer |
| CN103903195B (en) * | 2014-04-10 | 2017-10-24 | 国家电网公司 | Power transmission and transforming equipment online monitoring data alarm-monitor method |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101789630A (en) * | 2010-02-11 | 2010-07-28 | 江苏方天电力技术有限公司 | Monitoring system uniform platform of on-line monitoring and auxiliary equipment of transformer substation |
| US20110213744A1 (en) * | 2010-02-26 | 2011-09-01 | General Electric Company | Systems and methods for asset condition monitoring in electric power substation equipment |
| CN102436226A (en) * | 2011-09-14 | 2012-05-02 | 文存润 | Online monitoring and condition maintenance management system |
-
2012
- 2012-12-19 CN CN2012105538168A patent/CN103066699A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101789630A (en) * | 2010-02-11 | 2010-07-28 | 江苏方天电力技术有限公司 | Monitoring system uniform platform of on-line monitoring and auxiliary equipment of transformer substation |
| US20110213744A1 (en) * | 2010-02-26 | 2011-09-01 | General Electric Company | Systems and methods for asset condition monitoring in electric power substation equipment |
| CN102436226A (en) * | 2011-09-14 | 2012-05-02 | 文存润 | Online monitoring and condition maintenance management system |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103903195B (en) * | 2014-04-10 | 2017-10-24 | 国家电网公司 | Power transmission and transforming equipment online monitoring data alarm-monitor method |
| CN104199433A (en) * | 2014-09-26 | 2014-12-10 | 胡景宗 | Centralized controlling auxiliary pre-warning system in heat-engine plant |
| CN105245000A (en) * | 2015-09-16 | 2016-01-13 | 广西电网有限责任公司电力科学研究院 | Parallel processing method for state early-warning information of transformer |
| CN105245000B (en) * | 2015-09-16 | 2017-10-24 | 广西电网有限责任公司电力科学研究院 | A kind of method for parallel processing of transformer state warning information |
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Application publication date: 20130424 |