CN113177725A - Energy statistical method capable of configuring tree structure - Google Patents
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- CN113177725A CN113177725A CN202110542239.1A CN202110542239A CN113177725A CN 113177725 A CN113177725 A CN 113177725A CN 202110542239 A CN202110542239 A CN 202110542239A CN 113177725 A CN113177725 A CN 113177725A
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Abstract
The invention discloses an energy statistical method capable of configuring a tree structure, which comprises the following steps: a. constructing an energy consumption unit statistical tree based on the hierarchical relation of the energy consumption statistical units; b. constructing an energy pedigree tree factory model based on the distribution condition of the energy statistical instrument; c. configuring the matching relation between the energy consumption unit statistical tree and the energy pedigree tree plant model; d. and c, collecting the measurement data of all energy statistical instruments in the energy pedigree tree factory model, and counting the energy consumption data of each level or level node in the energy consumption unit statistical tree according to the matching relation in the step c. The invention provides a configurable solution for users aiming at the changed factory environment, and reduces the cost of secondary investment.
Description
Technical Field
The invention relates to a statistical method of energy units, in particular to an energy statistical method of a configurable tree structure.
Background
Energy conservation is a long-term policy for economic development in China, and is also an important content for enterprises to reduce production cost and realize more values. Along with the rapid increase of the energy consumption demand of enterprises, the safe and economic operation of energy consumption equipment is ensured, the operation level and the management capacity of the equipment are improved by adopting an informatization and networking technology, and the method is an effective means for enhancing the competitive capacity of the enterprises. However, after the energy management system of a manufacturing enterprise is delivered once, when the enterprise expands the production or the table is newly increased, the traditional mode needs to carry out secondary development or customization again, and the capital investment of the enterprise is increased, so that the method for finding out the energy consumption unit statistics which can be adjusted by the enterprise at any time according to the actual requirement has important significance. However, a configurable energy statistics method does not exist at present.
Disclosure of Invention
The invention aims to provide an energy statistical method capable of configuring a tree structure. The invention provides a configurable solution for users aiming at the changed factory environment, and reduces the cost of secondary investment.
The technical scheme of the invention is as follows: an energy statistical method capable of configuring a tree structure comprises the following steps:
a. constructing an energy consumption unit statistical tree based on the hierarchical relation of the energy consumption statistical units;
b. constructing an energy pedigree tree factory model based on the distribution condition of the energy statistical instrument;
c. configuring the matching relation between the energy consumption unit statistical tree and the energy pedigree tree plant model;
d. and c, collecting the measurement data of all energy statistical instruments in the energy pedigree tree factory model, and counting the energy consumption data of each level or level node in the energy consumption unit statistical tree according to the matching relation in the step c.
In step c of the method for energy statistics with configurable tree structure, a matching relationship is configured by using an aggregation method: defining physical attribution of each energy statistical instrument in the energy pedigree tree factory model, and mapping the energy statistical instruments with the defined physical attribution into nodes of each level of the energy unit statistical tree; and automatically summing the measurement data of the energy statistical instruments of all nodes of the same level in the energy unit statistical tree, and automatically eliminating the measurement data of the energy statistical instruments which belong to the level physically but are not used for counting the energy consumption data of the level.
In step c of the energy statistics method with the configurable tree structure, a matching relationship is configured by adopting a step-up and step-down method: the energy statistical instrument is physically attributed to a node of a level, the energy statistical instrument is required to be used for counting the level during actual counting, and automatic upgrading display is performed according to the configuration of an energy unit statistical tree; the same logic implementation is used for auto-demotion.
In the energy statistics method with the configurable tree structure, for an energy statistics instrument which is only used for counting energy consumption data of a certain level in an energy consumption unit statistics tree, but energy management and control need to count nodes of a next level of the level, when an energy pedigree tree plant model is established, a virtual instrument is established, and the measurement data of the virtual instrument is subjected to coefficient allocation and configuration on the energy statistics instrument according to the statistical requirements.
Has the advantages that: the invention constructs a configurable tree-structure energy statistical method model according to actual enterprise requirements, the model has better applicability and convenient configurability, and can carry out accurate configuration in real time according to the actual practical energy statistical units of the enterprise. Specifically, the method realizes the automatic matching of the physical energy statistical instrument and the statistical unit by constructing an energy pedigree tree factory model and an energy consumption unit statistical tree and applying a polymerization and upgrading mode, and finally forms energy evaluation data required by enterprises. The problem of energy evaluation unit (related instrument) change caused by factors such as instrument adjustment and factory expansion is greatly reduced, secondary investment of enterprises for energy systems is reduced, and the method has a good market application prospect.
Drawings
FIG. 1 is a schematic diagram of an energy usage unit statistical tree of the present invention;
FIG. 2 is a schematic diagram of an energy lineage tree plant model of the present invention;
FIG. 3 is a schematic diagram of a plant model matching relationship configuration of an energy usage unit statistical tree and an energy lineage tree;
FIG. 4 is a statistical chart of Table 2;
fig. 5 is a statistical chart of table 3.
Detailed Description
The invention is further illustrated by the following figures and examples, which are not to be construed as limiting the invention.
Example 1. An energy statistical method capable of configuring a tree structure comprises the following steps:
a. constructing an energy consumption unit statistical tree based on the hierarchical relationship of the energy consumption statistical units, and referring to fig. 1;
b. constructing an energy pedigree tree plant model based on the distribution condition (energy network) of the energy statistical instrument, and referring to fig. 2;
c. configuring the matching relation between the energy consumption unit statistical tree and the energy pedigree tree plant model, and referring to fig. 3;
d. c, collecting the measurement data of all energy statistical instruments in the energy pedigree tree factory model, and counting the energy consumption data of each level or level node in the energy consumption unit statistical tree according to the matching relation in the step c; namely, according to the configuration work of the step c, the data statistics of the energy consumption evaluation unit of the real factory is automatically completed.
Specifically, in the step c, a matching relationship is configured by adopting an aggregation method: defining physical attribution of each energy statistical instrument in the energy pedigree tree factory model, and mapping the energy statistical instruments with the defined physical attribution into nodes of each level of the energy unit statistical tree; and automatically summing the measurement data of the energy statistical instruments of all nodes of the same level in the energy unit statistical tree, and automatically eliminating the measurement data of the energy statistical instruments which belong to the level physically but are not used for counting the energy consumption data of the level.
Specifically, in the step c, a matching relationship is configured by adopting a method of upgrading and downgrading: the energy statistical instrument is physically attributed to a node of a level, the energy statistical instrument is required to be used for counting the level during actual counting, and automatic upgrading display is performed according to the configuration of an energy unit statistical tree; the same logic implementation is used for auto-demotion.
And for the energy source statistical instrument which is only used for counting energy consumption data of a certain level in the energy consumption unit statistical tree, but energy management and control need to count the nodes of the next level of the level, when an energy source pedigree tree plant model is established, a virtual instrument is constructed, and the measurement data of the virtual instrument is subjected to coefficient allocation on the energy source statistical instrument according to the statistical requirement.
When multi-stage expansion is needed, extension expansion is carried out according to the method.
The technical solution of the present invention is explained in detail below by taking a certain energy unit data as an example, and table 1 is a total statistical logic.
TABLE 1
| Serial number | First order statistical unit | |
| 1 | |
A1+A2+A3-A11-A12 |
| 2 | |
A5+A11-A13 |
| 3 | |
A4 |
| 4 | Workshop 4 | A6 |
| 5 | |
A12+A13 |
| 6 | Office room | A7 |
| 7 | Boiler room | A8 |
| 8 | Air compression room | A10 |
| 9 | Dining room | A9 |
Energy consumption unit statistics is carried out by adopting an aggregation method, the statistical tree of the same level automatically increases the statistical data of the next level node,
if the plant 1 belongs to three electric meters (namely, energy statistical instruments) A1, A2 and A3, automatically adding A1+ A2+ A3;
and for the next level of physical attribution to the node, counting the automatic deduction that the unit does not belong to the node. If the electric meter belonging to A11 under the workshop 1 is the meter of the workshop 2, the electric meter A12 is the meter of the workshop 5, and the electric meter is automatically deducted from-A11-A12;
the final plant 1 had statistical data of A1+ A2+ A3-A11-A12.
Energy consumption unit statistics is carried out by adopting a step-up and step-down method, an energy instrument belongs to a child node of the current level physically, actual statistics needs to be carried out separately, and automatic upgrading display is carried out according to the configuration of an energy consumption unit statistical tree, if a meter A11 is hung below a meter A3, the actual A11 is a meter of a workshop 2, the meter of the workshop 2 belongs to the lower part of the workshop 1 according to a physical installation mode, the workshop 2 belongs to the next level of the workshop 1, but the real evaluation unit workshop 351 and the workshop 2 are leveled, so that the meter A11 needs to be upgraded automatically;
the final plant 2 had statistical data of A5+ A11-A13. Finally, the statistics of the energy consumption data of the energy consumption unit are shown in tables 2 and 3 according to the method; the statistical graphs are shown in fig. 4 and 5.
TABLE 2
TABLE 3
Claims (4)
1. An energy statistical method capable of configuring a tree structure is characterized by comprising the following steps:
a. constructing an energy consumption unit statistical tree based on the hierarchical relation of the energy consumption statistical units;
b. constructing an energy pedigree tree factory model based on the distribution condition of the energy statistical instrument;
c. configuring the matching relation between the energy consumption unit statistical tree and the energy pedigree tree plant model;
d. and c, collecting the measurement data of all energy statistical instruments in the energy pedigree tree factory model, and counting the energy consumption data of each level or level node in the energy consumption unit statistical tree according to the matching relation in the step c.
2. The method for energy statistics of configurable tree structure as claimed in claim 1, wherein in step c, the matching relationship is configured by aggregation method: defining physical attribution of each energy statistical instrument in the energy pedigree tree factory model, and mapping the energy statistical instruments with the defined physical attribution into nodes of each level of the energy unit statistical tree; and automatically summing the measurement data of the energy statistical instruments of all nodes of the same level in the energy unit statistical tree, and automatically eliminating the measurement data of the energy statistical instruments which belong to the level physically but are not used for counting the energy consumption data of the level.
3. The method for energy statistics of configurable tree structure as claimed in claim 1, wherein in the step c, the matching relationship is configured by adopting a step-up and step-down method: the energy statistical instrument is physically attributed to a node of a level, the energy statistical instrument is required to be used for counting the level during actual counting, and automatic upgrading display is performed according to the configuration of an energy unit statistical tree; the same logic implementation is used for auto-demotion.
4. The method according to claim 2, wherein for an energy statistics meter that only has one real energy statistics meter for statistics of energy consumption data of a certain level in the energy consumption unit statistics tree, but energy management and control need to count to a node of a next level of the level, when building the energy lineage tree plant model, a virtual meter is constructed, and the measurement data of the virtual meter allocates coefficients to the energy statistics meter according to the statistical requirements.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116051216A (en) * | 2023-03-31 | 2023-05-02 | 深圳前海蛇口自贸区供电有限公司 | Energy cost statistical method, device, equipment and medium based on graph data model |
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| CN106846021A (en) * | 2015-12-04 | 2017-06-13 | 阿里巴巴集团控股有限公司 | A kind of indicator-specific statistics method and apparatus |
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| CN111524027A (en) * | 2020-03-20 | 2020-08-11 | 北京国电通网络技术有限公司 | Power information statistical method, device, equipment and storage medium |
| CN111782711A (en) * | 2020-07-01 | 2020-10-16 | 南京认知物联网研究院有限公司 | Water quantity data statistical method |
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| CN116051216A (en) * | 2023-03-31 | 2023-05-02 | 深圳前海蛇口自贸区供电有限公司 | Energy cost statistical method, device, equipment and medium based on graph data model |
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