CN105005625A - Measuring structure optimization algorithm based on measurement data regression - Google Patents
Measuring structure optimization algorithm based on measurement data regression Download PDFInfo
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- CN105005625A CN105005625A CN201510465909.9A CN201510465909A CN105005625A CN 105005625 A CN105005625 A CN 105005625A CN 201510465909 A CN201510465909 A CN 201510465909A CN 105005625 A CN105005625 A CN 105005625A
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- table tool
- gas
- measurement structure
- database
- meter
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2453—Query optimisation
Abstract
The invention relates to a measuring structure optimization algorithm based on measurement data regression. The measuring structure optimization algorithm comprises: step S1, according to meters, establishing a meter database; step S2, and according to gas use behaviors of gas consumers, screening out the meters which are matched with the gas use behaviors from the meter database. The measuring structure optimization algorithm can find out defects of an existing measuring structure, and a new measuring structure which satisfies user gas usage characteristics is provided. With business expansion or shrinkage of gas users, gas consumption is changed. The algorithm helps a gas company find mismatching of meter types, and according to variation of gas user business, a meter type is automatically chosen. With extension of service life of the meter, metrological characteristics of the meter are changed. The algorithm can bring the metrological characteristics of the meter in management of the gas company, and performs optimal matching according to gas use behaviors of gas users and the variation of the metrological characteristics of the meter.
Description
Technical field
The present invention relates to a kind of measurement structure optimized algorithm returned based on continuous data.
Background technology
Existing gas company determines when gas user initial demand is opened an account for the design of measurement structure.Along with the change of gas user use gas character, measurement structure does not change.
Existing gas company for Phenotypic Selection be according to gas user declare consumption for the first time and current business is determined.Along with operation expanding or the contraction of gas user, gas consumption also changes thereupon, and phenotype is changed and cannot be followed up in time.
The table tool of different DN bore or G rule is mainly selected for table tool coupling by existing gas company according to the maximum instantaneous flow of gas user.Along with the term of life of table tool extends, the meter characteristic of table tool also changes thereupon, and the management area of most gas company is not included in these changes in.
Summary of the invention
The object of this invention is to provide a kind of measurement structure optimized algorithm, that the selection of table tool is measured with user realizes mating with gas behavior, makes the selection of table tool specification and measuring accuracy be in optimal state.
In order to solve the problems of the technologies described above, the invention provides a kind of measurement structure optimized algorithm, comprising the steps:
Step S1, sets up table tool database according to table tool; And
Step S2, uses gas behavior according to gas user, filters out and the table tool matched with gas behavior from table tool database.
Further, described table tool database comprises: measurement structure feature database, table tool specification storehouse and table tool measuring accuracy feature database; Wherein said measurement structure feature database, stores the measurement structure data of the measurement structure feature-based data model of various gas type; Described table tool Specifications Database, stores and the corresponding specification data of each table tool; Described table tool measuring accuracy feature database, stores the metrology features curve of the table tool of same specification.
Further, described table tool specification storehouse comprises: traffic profile, maximum flow, minimum flow, range ratio, initial-flow and measuring accuracy parameter.
Further, use gas behavior according to gas user in described step S2, filter out from table tool database and comprise with the method for the table tool matched with gas behavior:
Step S21, according to the gas equipment of gas user, adjusts to the measurement structure of user, is namely divided into some metering sections;
Step S22, according to the some metering sections marked off, selects the table tool specification matched with each metering section from table tool specification storehouse; And
Step S23, then from some table tools of same specification, filter out the table tool mated most with gas behavior with user according to table tool measuring accuracy feature database.
The invention has the beneficial effects as follows, measurement structure optimized algorithm of the present invention can find the deficiency of existing measurement structure, and proposes the new measurement structure meeting user's use gas character; And along with operation expanding or the contraction of gas user, gas consumption also changes thereupon, this measurement structure optimized algorithm can help gas company to find not mating of phenotype faster, and automatically selects phenotype according to the change of gas user business; And along with showing the term of life prolongation of tool, the meter characteristic of table tool also changes thereupon, this measurement structure optimized algorithm can bring the meter characteristic of table tool into the management area of gas company in, and according to the coupling of carrying out the best with the change of gas behavior and the meter characteristic of table tool own of gas user.
Accompanying drawing explanation
Below in conjunction with drawings and Examples, the present invention is further described.
Fig. 1 is the process flow diagram of measurement structure optimized algorithm of the present invention;
Fig. 2 is the process flow diagram of step S2 in measurement structure optimized algorithm of the present invention;
Fig. 3 is the workflow schematic block diagram of measurement structure optimized algorithm of the present invention.
Embodiment
In conjunction with the accompanying drawings, the present invention is further detailed explanation.These accompanying drawings are the schematic diagram of simplification, only basic structure of the present invention are described in a schematic way, and therefore it only shows the formation relevant with the present invention.
As shown in Figure 1 to Figure 3, the invention provides a kind of measurement structure optimized algorithm, comprise the steps:
Step S1, sets up table tool database according to table tool; And
Step S2, uses gas behavior according to gas user, filters out and the table tool matched with gas behavior from table tool database.
Further, described table tool specification storehouse comprises: traffic profile G, maximum flow Qmax, minimum flow Qmin, range ratio Qt, initial-flow Qs and measuring accuracy parameter.
Wherein, about in the present invention with the implication of gas behavior be according to Subscriber Unit in the scope of maximum flow corresponding discharge scope occur frequency, as shown in table 1.
Table 1 operating mode instantaneous flow rate distribution Q (m
3/ h)
| Flow range | Frequency of occurrence | Number percent |
| (>120％)Qmax | 0 | 0.00％ |
| (120％-100％)Qmax | 0 | 0.00％ |
| (100％-90％)Qmax | 0 | 0.00％ |
| (90％-80％)Qmax | 0 | 0.00％ |
| (80％-70％)Qmax | 0 | 0.00％ |
| (70％-60％)Qmax | 0 | 0.00％ |
| (60％-50％)Qmax | 1 | 0.05％ |
| (50％-40％)Qmax | 16 | 0.78％ |
| (40％-30％)Qmax | 191 | 9.30％ |
| (30％-20％)Qmax | 441 | 21.47％ |
| (20％-10％)Qmax | 392 | 19.08％ |
| (10％-5％)Qmax | 390 | 18.99％ |
| (5％-0％)Qmax | 623 | 30.33％ |
Further, described table tool database comprises: measurement structure feature database, table tool specification storehouse and table tool measuring accuracy feature database; Wherein
Described measurement structure feature database, stores the measurement structure data of the measurement structure feature-based data model of various gas type;
Described table tool Specifications Database, stores and the corresponding specification data of each table tool; And
Described table tool measuring accuracy feature database, the metrology features curve that the table tool storing same specification has.Because its measuring accuracy feature of table tool of same specification can not be identical, therefore, the respective table tool for same specification needs to set up each table tool measuring accuracy feature database, so that select suitable table tool in subsequent steps.
Further, use gas behavior according to gas user in described step S2, filter out from table tool database and comprise with the method for the table tool matched with gas behavior:
Step S21, according to the gas equipment of gas user, adjusts to the measurement structure of user, is namely divided into some metering sections.
Concrete, if the table tool selected obtains data as shown in table 2 and table 3 after tested, then judge that measurement structure need make corresponding adjustment.Wherein
Table 2 operating mode instantaneous flow rate distribution Q (m3/h)
| Flow range | Frequency of occurrence | Number percent |
| (>120％)Qmax | 106 | 3.79％ |
| (120％-100％)Qmax | 133 | 4.75％ |
| (100％-90％)Qmax | 50 | 1.79％ |
| (90％-80％)Qmax | 69 | 2.47％ |
| (80％-70％)Qmax | 89 | 3.18％ |
| (70％-60％)Qmax | 103 | 3.68％ |
| (60％-50％)Qmax | 157 | 5.61％ |
| (50％-40％)Qmax | 194 | 6.93％ |
| (40％-30％)Qmax | 316 | 11.29％ |
| (30％-20％)Qmax | 635 | 22.69％ |
| (20％-10％)Qmax | 541 | 19.33％ |
| (10％-5％)Qmax | 96 | 3.43％ |
| (5％-0％)Qmax | 310 | 11.08％ |
Table 3 operating mode instantaneous flow rate distribution Q (m
3/ h)
| Flow range | Frequency of occurrence | Number percent |
| (>120％)Qmax | 0 | 0.00％ |
| (120％-100％)Qmax | 0 | 0.00％ |
| (100％-90％)Qmax | 0 | 0.00％ |
| (90％-80％)Qmax | 0 | 0.00％ |
| (80％-70％)Qmax | 0 | 0.00％ |
| (70％-60％)Qmax | 1002 | 42.03％ |
| (60％-50％)Qmax | 10 | 0.42％ |
| (50％-40％)Qmax | 3 | 0.13％ |
| (40％-30％)Qmax | 7 | 0.29％ |
| (30％-20％)Qmax | 22 | 0.92％ |
| (20％-10％)Qmax | 1340 | 56.21％ |
| (10％-5％)Qmax | 0 | 0.00％ |
| (5％-0％)Qmax | 0 | 0.00％ |
From table 2 and table 3, reply measurement structure makes corresponding adjustment.
Step S22, according to the some metering sections marked off, selects the table tool specification matched with each metering section, namely selects some table tools of the same specification matched with above-mentioned each metering section according to the relevant parameter in table tool specification storehouse from table tool specification storehouse; Concrete, some table tools of the same specification matched with above-mentioned each metering section are selected according to traffic profile G, maximum flow Qmax, minimum flow Qmin, range ratio Qt, initial-flow Qs and measuring accuracy parameter.
Step S23, then filter out the table tool mated most with gas behavior with user according to table tool measuring accuracy feature database from some table tools of same specification, namely with the table tool of maximum flow, minimum flow, range ratio match parameters in the measurement structure of user.
Because its measuring accuracy feature of table tool of same specification can not be identical, therefore need the table tool of maximum flow in the measurement structure filtered out with user through step S23, minimum flow, range ratio match parameters, make table tool meet the division of above-mentioned metering section.
Preferably, also comprise in described step S23: screen according to initial-flow and/or measuring accuracy the table tool matched.
With above-mentioned according to desirable embodiment of the present invention for enlightenment, by above-mentioned description, relevant staff in the scope not departing from this invention technological thought, can carry out various change and amendment completely.The technical scope of this invention is not limited to the content on instructions, must determine its technical scope according to right.
Claims (4)
1. a measurement structure optimized algorithm, is characterized in that, comprises the steps:
Step S1, sets up table tool database according to table tool;
Step S2, uses gas behavior according to gas user, filters out and the table tool matched with gas behavior from table tool database.
2. measurement structure optimized algorithm according to claim 1, is characterized in that,
Described table tool database comprises: measurement structure feature database, table tool specification storehouse and table tool measuring accuracy feature database; Wherein
Described measurement structure feature database, stores the measurement structure data of the measurement structure feature-based data model of various gas type;
Described table tool Specifications Database, stores and the corresponding specification data of each table tool;
Described table tool measuring accuracy feature database, stores the metrology features curve of the table tool of same specification.
3. measurement structure optimized algorithm according to claim 2, is characterized in that, described table tool specification storehouse comprises: traffic profile, maximum flow, minimum flow, range ratio, initial-flow and measuring accuracy parameter.
4. measurement structure optimized algorithm according to claim 3, is characterized in that, uses gas behavior according to gas user in described step S2, filters out and comprise with the method for the table tool matched with gas behavior from table tool database:
Step S21, according to the gas equipment of gas user, adjusts to the measurement structure of user, is namely divided into some metering sections;
Step S22, according to the some metering sections marked off, selects the table tool specification matched with each metering section from table tool specification storehouse;
Step S23, then from some table tools of same specification, filter out the table tool mated most with gas behavior with user according to table tool measuring accuracy feature database.
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Cited By (1)
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| CN107609770A (en) * | 2017-09-07 | 2018-01-19 | 深圳市燃气集团股份有限公司 | A kind of determination method and system of the matching of industrial and commercial customer flow table |
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