CN103164530A - Modeling system based on measuring points - Google Patents
Modeling system based on measuring points Download PDFInfo
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- CN103164530A CN103164530A CN2013101118557A CN201310111855A CN103164530A CN 103164530 A CN103164530 A CN 103164530A CN 2013101118557 A CN2013101118557 A CN 2013101118557A CN 201310111855 A CN201310111855 A CN 201310111855A CN 103164530 A CN103164530 A CN 103164530A
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- 230000005012 migration Effects 0.000 abstract description 3
- 238000013508 migration Methods 0.000 abstract description 3
- 238000003860 storage Methods 0.000 abstract description 2
- 238000000151 deposition Methods 0.000 description 5
- 238000004458 analytical method Methods 0.000 description 2
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- 239000003245 coal Substances 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
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Abstract
The invention relates to a modeling system based on measuring points. The modeling system based on the measuring points is characterized in that a unit serves as a unit to conduct modeling on the measuring points, one unit builds a bank, the measuring points in the unit are classified, each category serves as a table, and therefore actual needs of performance computation are combined, the attribute of the measuring points is expanded, and the user can flexibly construct a self storage method. The measuring points used by the unit are classified by a specialist, a structure of the bank and the table are constructed by the specialist, and the record is carried out by the specialist. The model which is built by means of the modeling system based on the measuring points can be directly reused when the user develops business on the unit. When the user converts to other real-time data bases, the migration is easy. Business application developed on the basis of the set of models does not need to be changed, and only model banks are needed to be adjusted. The modeling system based on the measuring points brings certain elasticity to users and increases the economic benefits.
Description
Technical field
The present invention relates to the method for the recycling of measuring point ground, expansion in commercial production, specially refer to a kind of modeling based on measuring point.
Background technology
In power industry, electricity power enterprise's performance is calculated and economic analysis at present, need to write to unit the computation model that analysis indexes is used by thermal technology expert, generally will write the computation models such as boiler, steam turbine, subsidiary engine, the index in computation model is calculated the real time data that need to use measuring point.Directly use the measuring point name in computation model, in case need change measuring point name, will cause all computation models all will change, caused a large amount of workloads.The measuring point attribute of real-time data base has very large difference, if the attribute that depends on some real-time data bases and provide is done exploitation, the cost that can cause changing real-time data base increases greatly.Measuring point is well classification not, only has like this expert may know clearly the meaning of measuring point, and the developer of inconvenient service application goes to use.
Summary of the invention
In view of the above problems, the present invention has been proposed in order to a kind of modeling based on measuring point that addresses the above problem or address the above problem at least in part is provided.
The present invention realizes by following technical scheme:
A kind of modeling based on measuring point is characterized in that: this system comprises take unit as unit measuring point carried out modeling, and a machine is set up a storehouse, and the measuring point in unit is classified, and each classification is as a table.This system comprises unit, storehouse, measuring point and sort module, and wherein this system carries out modeling take unit as unit to measuring point, and a machine is set up a storehouse, and the measuring point in unit is classified through sort module.
Described sort module comprises:
The design data module is deposited the measuring point table of the data type in design;
The normal data module is deposited the measuring point table of standard data type;
The regular update data module is deposited the measuring point table of regular update class data type;
The DCS real time data is deposited the measuring point table of the real time data type that gets from the DCS system;
Calculate the output data, deposit the measuring point table of the data type of computation model result of calculation.
A kind of modeling based on measuring point, this system carries out modeling take unit as unit to measuring point, a machine is set up a storehouse, measuring point in unit is classified, each classification is as a table, the attribute of measuring point has been expanded in the actual demand that bonding properties is calculated, and the user can build the storage means of oneself neatly.The management method of described modeling based on measuring point is characterized in that: by the expert, the measuring point that unit uses classified, builds storehouse, list structure, and record.
Beneficial effect of the present invention: by the model that the present invention builds, during the business of user on carrying out unit, can be directly multiplexing.The user has also become easily in the migration of other real-time data base of conversion, and the service application of carrying out on the basis of this set of model all need not be changed, and only needs the adjustment model storehouse to get final product.For the user has brought certain elasticity, increased economic benefit.
Description of drawings
The present invention is further illustrated below in conjunction with accompanying drawing.
The process flow diagram of Fig. 1 exemplifying embodiment of the present invention;
Fig. 2 frame diagram of the present invention.
Embodiment
The present invention is further illustrated below in conjunction with accompanying drawing.For can clearer understanding technological means of the present invention, and can be implemented according to the content of instructions, and for above and other objects of the present invention, feature and advantage can be become apparent, below especially exemplified by the specific embodiment of the present invention.
Accompanying drawing is that the present invention carries out modeling to calculating with measuring point take unit as unit, the corresponding storehouse of each unit, 5 kinds of measuring point type lists (design data, normal data, regular update data, DCS real time data, calculating output data) are arranged in each storehouse, and all types of measuring points use some identical attributes to be described.
The definition of measuring point type list:
Design data: the measuring point table of depositing the data type in design.
Normal data: the measuring point table of depositing standard data type.
Regular update data: the measuring point table of depositing regular update class (such as water quality, ature of coal etc.) data type.
DCS real time data: the measuring point table of depositing the real time data type that gets from the DCS system.
Calculate the output data: the measuring point table of depositing the data type of computation model result of calculation.
The definition of measuring point attribute:
Sequence number: sequence number is since 1, and by arranging from low to high, the centre should be interrupted.
Coding: coded digital is since 001, and by arranging from low to high, the centre should be interrupted.Cryptoprinciple is as follows:
Design data-machine group number _ DDXXX X: represent numeral;
Normal data-machine group number _ SDXXX X: represent numeral;
Regular update data-machine group number _ ADXXX X: represent numeral;
DCS real time data-machine group number _ ODXXX X: represent numeral;
Calculate output data-machine group number _ CDXXX X: represent numeral;
Title: to the text description of measuring point in tables of data.
Instantaneous value: the currency of measuring point.
TagName: database measuring point name, setting principle is as follows:
The TagName of design data, normal data and calculating output data with encode consistent.
The TagName of DCS real time data is consistent with DCS measuring point inventory.
The TagName of the regular update data that each unit is different is consistent with coding, and TagName and its coding of the regular update data that all units share are inconsistent, set according to actual conditions.
Interface ID, general setting principle is as follows:
0-fixed data is neither from database input data, also not toward database output data, as design data.
1-from database input data, as normal data, regular update data and DCS real time data.
2-toward database output data, as calculating the output data.
Table I D: measuring point table registration ID is generated by system assignment during registration measuring point table.
TagID: each tables of data corresponding one No. ID, the arbitrary integer that has uniqueness (〉 0 this No. ID), the random generation, but also manual entry.
The upper limit: the maximal value of the normal range that real time data changes.
Wherein the upper and lower limit of normal data, regular update data and calculating output data is determined according to the unit normal operation when database is laid foundations; The upper and lower limit of DCS real time data is determined according to the DCS inventory.
Lower limit: the minimum value of the normal range that real time data changes.
Wherein the upper and lower limit of normal data, regular update data and calculating output data is determined according to the unit normal operation when database is laid foundations; The upper and lower limit of DCS real time data is determined according to the DCS inventory.
Unit: determine by the world, country or industry standard.
Group number: the measuring point group number, for the state of validity that measuring point group data are set.
Variable name: each variable compute sign commonly used in mathematical model is mainly used in computing formula.Its setting principle is as follows: both has been convenient to model is checked, and simple and clear, easy-to-understand, be fit to again certain regulation.
By the model that the present invention builds, during the business of user on carrying out unit, can be directly multiplexing.The user has also become easily in the migration of other real-time data base of conversion, and the service application of carrying out on the basis of this set of model all need not be changed, and only needs the adjustment model storehouse to get final product.
Claims (3)
1. modeling based on measuring point is characterized in that: this system comprises take unit as unit measuring point carried out modeling, and a machine is set up a storehouse, and the measuring point in unit is classified, and each classification is as a table.
2. the modeling based on measuring point according to claim 1, it is characterized in that: this system comprises unit, storehouse, measuring point and sort module, wherein this system carries out modeling take unit as unit to measuring point, and a machine is set up a storehouse, and the measuring point in unit is classified through sort module.
3. the modeling based on measuring point according to claim 2, it is characterized in that: described sort module comprises:
The design data module is deposited the measuring point table of the data type in design;
The normal data module is deposited the measuring point table of standard data type;
The regular update data module is deposited the measuring point table of regular update class data type;
The DCS real time data is deposited the measuring point table of the real time data type that gets from the DCS system;
Calculate the output data, deposit the measuring point table of the data type of computation model result of calculation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310111855.7A CN103164530B (en) | 2013-04-02 | 2013-04-02 | Modeling based on measuring point |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201310111855.7A CN103164530B (en) | 2013-04-02 | 2013-04-02 | Modeling based on measuring point |
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| CN103164530A true CN103164530A (en) | 2013-06-19 |
| CN103164530B CN103164530B (en) | 2016-06-29 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104394186A (en) * | 2014-09-23 | 2015-03-04 | 山东鲁能软件技术有限公司 | Distributed cache for dynamic segmentation of grid resource based on GIS (Geographic Information System) platform |
| CN105548764A (en) * | 2015-12-29 | 2016-05-04 | 山东鲁能软件技术有限公司 | Electric power equipment fault diagnosis method |
-
2013
- 2013-04-02 CN CN201310111855.7A patent/CN103164530B/en not_active Expired - Fee Related
Non-Patent Citations (3)
| Title |
|---|
| 吴沁 等: "《基于加权灰关联分析的加工中心热误差测点分布优化研究》", 《制造技术与机床》 * |
| 窦小龙 等: "《温度测点优化在机床主轴热误差建模中的应用》", 《航空精密制造技术》 * |
| 苏勋文 等: "《基于运行数据的风电机组建模方法》", 《电力系统保护与控制》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104394186A (en) * | 2014-09-23 | 2015-03-04 | 山东鲁能软件技术有限公司 | Distributed cache for dynamic segmentation of grid resource based on GIS (Geographic Information System) platform |
| CN105548764A (en) * | 2015-12-29 | 2016-05-04 | 山东鲁能软件技术有限公司 | Electric power equipment fault diagnosis method |
| CN105548764B (en) * | 2015-12-29 | 2018-11-06 | 山东鲁能软件技术有限公司 | A kind of Fault Diagnosis for Electrical Equipment method |
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| Publication number | Publication date |
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| CN103164530B (en) | 2016-06-29 |
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Owner name: ELECTRIC POWER RESEARCH INSTITUTE, STATE GRID SHAN Effective date: 20141115 |
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Effective date of registration: 20141115 Address after: Xinluo Avenue high tech Zone of Ji'nan City, Shandong province 250101 silver bearing No. 2008 building B block 5 layer Applicant after: SHANDONG LUNENG SOFTWARE TECHNOLOGY Co.,Ltd. Applicant after: ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER Co. Address before: Xinluo Avenue high tech Zone of Ji'nan City, Shandong province 250101 silver bearing No. 2008 building B block 5 layer Applicant before: SHANDONG LUNENG SOFTWARE TECHNOLOGY Co.,Ltd. |
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Address after: 250101 5th floor, block B, Yinhe building, 2008 Xinluo street, high tech Zone, Jinan City, Shandong Province Patentee after: Shandong luruan Digital Technology Co.,Ltd. Patentee after: ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER Co. Address before: 250101 5th floor, block B, Yinhe building, 2008 Xinluo street, high tech Zone, Jinan City, Shandong Province Patentee before: SHANDONG LUNENG SOFTWARE TECHNOLOGY Co.,Ltd. Patentee before: ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER Co. |
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Granted publication date: 20160629 |