CN105447621A - Method and system for analyzing energy efficiency of energy consumption device - Google Patents

Abstract

The invention provides a method and a system for analyzing the energy efficiency of an energy consumption device. The system comprises a sensor, a communication module, a central processing unit and an interaction terminal, wherein the sensor, the communication module, the central processing unit and the interaction terminal are connected in sequence. The method comprises the steps of according to the characteristics of the energy consumption device, establishing an energy efficiency index level parameter system for the energy consumption device; grading the enterprise attention according to the indexes of the index layer parameter system, and establishing a judgment matrix according to the relative importance between any two indexes at the same grade; adjusting the consistency of the judgment matrix so as to obtain a new judgment matrix; normalizing the feature vectors of the new judgment matrix to obtain a ranking weight vector; processing a great number of statistical data to obtain the degree of membership for the indexes; respectively conducting the weighting summation on the degrees of membership for all the layers of the parameter system from bottom to top in sequence to obtain a final comprehensive analysis result. The method and the system for analyzing the energy efficiency of the energy consumption device solve the problem in the prior art that the means for the energy efficiency analysis of each energy consumption device is not abundant, simple in method and large in difference.

Description

A kind of energy consumption equipment energy efficiency analysis method for air and analytic system thereof

Technical field

The present invention relates to a kind of energy consumption equipment energy efficiency analysis method for air and analytic system thereof, particularly relate to a kind of energy efficiency analysis method for air and the analytic system thereof that are applicable to various energy consuming equipment.

Background technology

Energy consumption equipment refers to the equipment needing to carry out energy resource consumption (the various energy such as water, electricity, oil, material).At present, energy efficiency evaluation means for various energy device are limited, appraisal procedure lacks scientific method, the present invention attempts to find a kind of universal method, analyze in conjunction with the grading of enterprises pay attention degree for energy consumption equipment, the problems such as large data statistic analysis and science analytic approach set up analytical model, thus it is single to solve the means of each energy consumption equipment in energy efficiency evaluation, and the simple and differentiation of method is larger.

Summary of the invention

The technical problem to be solved in the present invention is to provide a kind of energy consumption equipment energy efficiency analysis method for air and analytic system thereof of low differentiation.

The technical solution used in the present invention is as follows:

As shown in Figure 1, a kind of energy consumption equipment universal energy efficiency analytical approach, concrete grammar is:

Step one, according to energy consumption equipment characteristic, set up the energy efficiency indexes layer parameter system of energy consumption equipment.

Step 2, the grading of enterprises pay attention degree is carried out to the indexs at different levels of index parameter system, and according to the relative importance Judgement Matricies between two indices any in same layer index.

Only for rule layer index, set up judgment matrix as follows:

$A=\left[\begin{array}{cccc}{a}_{11}& a_{12}& a_{13}& a_{14}\\ a_{21}& a_{22}& a_{23}& a_{24}\\ a_{31}& a_{32}& a_{33}& a_{34}\\ a_{41}& a_{42}& a_{43}& a_{44}\end{array}\right]$

I.e. A={a _ij} _m*n, wherein a _ijfor a jth rule layer index is relative to the relative importance of i-th rule layer index after the grading of enterprise-essential attention rate, and have a _ij=1 (i=j).

Step 3, consistency adjustment process is carried out to described judgment matrix obtain new judgment matrix.

By optimum transfer matrix, Improvement of Consistency is carried out to A, as follows:

b _ij＝lga _ij(i,j＝1,2…n)， $c_{ij}=\frac{1}{n}\left(\underset{k=1}{\overset{n}{\Σ}}\right(b_{ik}-b_{jk}\left)\right),{a_{ij}}^{*}={10}^{c_{ij}}$

Obtain new judgment matrix A ^*={ a _ij ^*} _m*n.

Step 4, the proper vector of new judgment matrix to be normalized, to obtain rank order filtering.

Calculate A ^*proper vector

$m_i={\Π}_{j=1}^n{a_{ij}}^{*},\stackrel{\‾}{w_i}=\sqrt[n]{m_i}$

$\stackrel{\‾}{W}=\[\stackrel{\‾}{w_1},\stackrel{\‾}{w_2}\mathrm{...}\stackrel{\‾}{w_n}\]$

Will be normalized, obtain rank order filtering W=[w ₁, w ₂w _n], namely in analysis system each parameter index of same layer relative to the relative weighting of upper-layer parameters index.

Step 5, a large amount of statistics is processed to the degree of membership obtaining this index, carry out tailor-made algorithm as KPI index by a large amount of statistics in early stage and calculate.

Step 6, respectively to parameter system layer successively carry out from top to bottom fuzzy set theory be added synthesis, obtain final Comprehensive analysis results.

The computing formula of degree of membership synthesis is:

In formula, u _jrepresent the degree of membership of i-th sub-index, u _irepresent the degree of membership of a jth sub-index, w _irepresent the weight of i-th specific item table, obtained by the formula of step 4.Wherein j item index is positioned at the last layer of i item index.The degree of membership composite value of trying to achieve top layer is final analysis result.Comprehensive assay value is higher, illustrates that this energy consumption equipment efficiency is optimum.

As preferably, in described step 2, adopt the tournament method Judgement Matricies in Hierarchy Analysis Method.

As preferably, the consistency adjustment process in described step 3, adopts optimum transfer matrix method to carry out Improvement of Consistency.

As preferably, the consistance conditioning treatment in described step 3 also comprises, auxiliary with consistent correction.

As preferably, the method of described step 5 also comprises: carry out pre-service to the degree of membership of achievement data, by the analysis indexes containing large, minimal type and interval type three types in energy consumption equipment parameter index system, setting wherein a kind of index of classification integrates as type, other two kinds is converted to the type of setting.

To set large as type:

For minimal type index

For interval type index $x^{*}=\left\{\begin{array}{cc}1-\frac{q_1-x}{max\{q_1-m,M-q_2\}}& x\≤q_1\\ 1-\frac{x-q_2}{max\{q_1-m,M-q_2\}}& x\≥q_1\end{array}\right.$

In formula: x represents former analysis indexes; x ^*analysis indexes after representative conversion;

[q ₁, q ₂] for the best stabilized of index interval; M, m are respectively upper and lower of x permission.

As preferably, the method for described step 5 also comprises: carry out dimensionless process to the degree of membership of achievement data.

As preferably, neutralisation facture is adopted to carry out dimensionless process.That is:

In formula, the index after x ~ represent dimensionless process; U and σ is respectively mathematical expectation and the mean square deviation of x.

Based on a kind of energy consumption equipment Energy Efficiency Analysis system of above-mentioned analytical approach, it is characterized in that: comprise sensor connected successively, communication module, CPU (central processing unit) and interactive terminal.

As preferably, also comprise the data storage cell be connected with interactive terminal.

Compared with prior art, the invention has the beneficial effects as follows: solve the means of each energy consumption equipment in energy efficiency evaluation single, the problems such as the simple and differentiation of method is larger.

The further beneficial effect of the present invention is:

1, after consistance conditioning process, auxiliary with consistent correction (ordinal consistency correction, absolute consistency correction, even comprises manual setting), further ensure that consistance;

2, pre-service is carried out to the degree of membership of achievement data, by the analysis indexes containing large, minimal type and interval type three types in energy consumption equipment parameter index system, setting wherein a kind of index of classification integrates as type, other two kinds are converted to the type of setting, make degree of membership more directly perceived;

3, dimensionless process is carried out to the degree of membership of achievement data, make degree of membership more directly perceived.

Accompanying drawing explanation

Fig. 1 is energy efficiency indexes level parameters system principle schematic of the present invention.

Fig. 2 is the energy efficiency indexes level parameters system principle schematic of the present invention's wherein embodiment.

Embodiment

In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.

Arbitrary feature disclosed in this instructions (comprising any accessory claim, summary and accompanying drawing), unless specifically stated otherwise, all can be replaced by other equivalences or the alternative features with similar object.That is, unless specifically stated otherwise, each feature is an example in a series of equivalence or similar characteristics.

This specific embodiment is that example is specifically described for the trolley type heating furnace of certain large-scale Chong Hao enterprise.

As shown in Figure 2, step one and the step 2 of the present invention program is completed according to prior art.According to energy consumption equipment self character, set up the energy efficiency indexes level parameters system of energy consumption equipment.All energy consumption equipment can both be divided into destination layer (A), rule layer (B) and solution layer (C), solution layer sets according to the energy consumption technologies parameter of each equipment itself, then sorts out rule layer according to the energy consumption technologies parameter of equipment itself.

Because the main Energy Consumption Factors of different classes of energy consumption equipment is different, so in this specific embodiment, according to concrete energy consumption equipment Energy Consumption Factors, the grading of enterprise-essential attention rate to be carried out according to actual conditions according to importance.

In this specific embodiment, according to enterprise's attention-degree analysis four indexs to factor, first technical factor weight is first weight (0.4), again according to enterprises pay attention core, establish second weight (0.3) index factor: pay close attention to economic benefit factors, then establishing economic factors is second; Pay close attention to social responsibility factor, then establishing environmental factor is second; Pay close attention to level of control factor, then establishing management factors is second.

Expect to determine the 3rd weight (0.2) index factor with enterprise's emphasis: compare again in two remaining factors, do poor with enterprise and equipment investment or execution, one that expects most to be improved is asserted the 3rd weight, and last index is exactly the 4th weight (0.1) naturally.

Obtain the weight sequencing of rule layer like this, then according to such sequence, obtained the weighted value (0.4,0.3,0.2,0.1) of each factor by weights quantify

Obtain judgment matrix by step 2, for two-level index (rule layer), and through the process of step 3 optimum transfer matrix optimization etc., obtain following matrix:

$A^{*}=\left[\begin{array}{cccc}1& 4/3& 2& 4\\ 3/4& 1& 3/2& 3\\ 1/2& 2/3& 1& 2\\ 1/4& 1/3& 1/2& 1\end{array}\right]$

Calculate weight by technical scheme steps four again, obtain weights W=[0.154,0.615,0.154,0.077] of two-level index (rule layer).

Calculate according to technical scheme steps five again and need to carry out No. one, three trolley type heating furnaces of comprehensive assessment, the degree of membership of No. two, No. three, wherein product energy consumption factor C3, material Energy Consumption Factors C4 etc. collects data by acquisition system, based on a large amount of statistics, obtain respective degree of membership through own algorithm.For material factors C4, set up technique stove material efficiency mark post according to material type (Material).According to history energy consumption statistic, energy consumption optimum process stove is decided to be mark post, other stove consumption is given a mark according to conversion ratio, obtains the Energy Consumption Factors for each material, then by asking geometric mean to obtain the C4 degree of membership of a certain technique stove to each material Energy Consumption Factors.

Slightly, the rule layer degree of membership obtaining one, two, No. three trolley type heating furnace is respectively as follows for other computation process:

u ₁＝[0.736，0.871，0.745，0.732]

u ₂＝[0.452，0.566，0.705，0.613]

u ₃＝[0.692，0.559，0.712，0.792]

Last according to technical scheme steps six, carry out degree of membership synthesis, obtain the last energy efficiency evaluation rank of one, two, No. three energy consumption equipment, as shown in following table one:

Table one

Rank	1	2	3
				Energy consumption equipment	A heating furnace	No. three heating furnaces	No. two heating furnaces
Comprehensive grading	0.82	0.62	0.57

According to analysis and assessment, technical indicator is dominant in the assessment of energy consumption equipment, and a heating furnace comprehensive efficiency is the highest, and No. two heating furnace comprehensive efficiencies are minimum.2, No. 3 stoves can have larger room for promotion in technical energy saving.And No. 2 stoves also flower strength should improve in economic target and reduction of discharging.

Based on a kind of energy consumption equipment Energy Efficiency Analysis system of above-mentioned analytical approach, comprise sensor connected successively, communication module, CPU (central processing unit) and interactive terminal.

Wherein, sensor is the various kinds of sensors being arranged in energy consumption system all parts, in this specific embodiment (as shown in Figure 2): according to the image data statistics to long-term (being generally more than a year), for each energy consumption equipment, by total output divided by total power consumption number, obtain degree of membership C1; According to the image data statistics to long-term (being generally more than a year), for each energy consumption equipment, by total output value divided by total power consumption number, obtain degree of membership C2; Technique stove product efficiency mark post is set up according to product type (Product).According to history energy consumption statistic, energy consumption optimum process stove is decided to be mark post, other stove consumption is converted according to mark post data, obtains the efficiency numerical value for each product type, then by asking geometric mean to obtain the C3 degree of membership of a certain technique stove to each product energy consumption factor; Technique stove material efficiency mark post is set up according to material type (Material), according to history energy consumption statistic, energy consumption optimum process stove is decided to be mark post, other stove consumption is converted according to mark post data, obtain the energy consumption numerical value for each material type, then by asking geometric mean to obtain the C4 degree of membership of a certain technique stove to each material Energy Consumption Factors; Technique stove ton hour consumption is selected to set up technique stove KPI efficiency mark post as crucial KPI parameter.According to history energy consumption statistic, energy consumption optimum process stove is decided to be mark post, other stove consumption is converted according to mark post data, obtains the C5 degree of membership of a certain the technique stove for crucial KPI; According to metering outfit examining report, the precision data of all metering outfits of each technique stove can be obtained, then the C6 degree of membership by asking geometric mean to obtain a certain technique stove; According to the failure classes image data statistics to long-term (being generally more than a year), for each energy consumption equipment, by total number of faults divided by the timing statistics cycle, obtain degree of membership C7; : according to the carbon emission amount image data statistics to long-term (being generally more than a year), for each energy consumption equipment, by total carbon emission amount divided by total power consumption number, obtain degree of membership C8, quantize by reducing discharging transformation infusion of financial resources, and be normalized.

Communication module supports uplink and downlink communication modes, the descending pick-up transducers information that communicates with various kinds of sensors, uply communicates with CPU (central processing unit), and sensor information is uploaded to CPU (central processing unit);

Central processing system completes storage and the intermediate result calculating of big data quantity.

Described interactive terminal also comprises: enquiry module, supports all kinds of Local or Remote efficiency data of inquiry; Analysis module: support the Local or Remote analysis to all kinds of image data, assessment, draw comprehensive energy efficiency analysis result; State detection module: support to detect the duty of various kinds of sensors; Configuration module: support the setting to all kinds of parameter of terminal itself (as authority, inquiring about the corresponding time etc.), amendment.

Also comprise the data storage cell be connected with interactive terminal, for memory access data frequently.

Claims (9)

1. an energy consumption equipment energy efficiency analysis method for air, is characterized in that, concrete grammar is: step one, according to energy consumption equipment characteristic, set up the energy efficiency indexes layer parameter system of energy consumption equipment; Step 2, the grading of enterprises pay attention degree is carried out to each layer index of index parameter system, and according to the relative importance Judgement Matricies between two indices any in same layer index; Step 3, consistency adjustment process is carried out to described judgment matrix obtain new judgment matrix; Step 4, the proper vector of new judgment matrix to be normalized, to obtain rank order filtering; Step 5, a large amount of statistics is adopted to carry out processing the degree of membership obtaining this index; Step 6, respectively to parameter system layer successively carry out from top to bottom fuzzy set theory be added synthesis, obtain final Comprehensive analysis results.

2. energy efficiency analysis method for air according to claim 1, is characterized in that: adopt the tournament method Judgement Matricies in Hierarchy Analysis Method in described step 2.

3. energy efficiency analysis method for air according to claim 1, is characterized in that: the consistency adjustment process in described step 3, adopts optimum transfer matrix method to carry out Improvement of Consistency.

4. energy efficiency analysis method for air according to claim 3, is characterized in that: the consistance conditioning treatment in described step 3 also comprises, auxiliary with consistent correction.

5. energy efficiency analysis method for air according to claim 1, it is characterized in that: the method for described step 5 also comprises: pre-service is carried out to the degree of membership of achievement data, by the analysis indexes containing large, minimal type and interval type three types in energy consumption equipment parameter index system, setting wherein a kind of index of classification integrates as type, other two kinds is converted to the type of setting.

6. energy efficiency analysis method for air according to claim 1 or 5, is characterized in that: the method for described step 5 also comprises: carry out dimensionless process to the degree of membership of achievement data.

7. energy efficiency analysis method for air according to claim 6, is characterized in that: adopt neutralisation facture to carry out dimensionless process.

8. a kind of energy consumption equipment Energy Efficiency Analysis system of analytical approach according to claim 1, is characterized in that: comprise be connected successively sensor, communication module, CPU (central processing unit) and interactive terminal.

9. energy consumption equipment Energy Efficiency Analysis system according to claim 8, is characterized in that: also comprise the data storage cell be connected with interactive terminal.