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Cost performance evaluation of pulse precipitator in brick factory

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Cost performance evaluation of pulse dust collector in brick factory

Source: Botou Kangyue environmental protection Release time: 2017/5/8 9:52:15
Cost performance evaluation of pulse dust collector in brick factory: the general process of brick and tile production is to crush, grind and screen shale, fly ash, waste residue and other raw materials into powder, and then add water to mix them evenly, aging, and then vacuum extrude them into various forms of brick and tile products. Dust pollution is more serious in the production process of brick and tile. The dust in brick and tile production mainly comes from the production and transportation process of raw materials, such as crushing, grinding and screening of raw materials, as well as the whole production process in which powder is transported from one process to another through bucket elevator and (or) belt conveyor and (or) screw conveyor. Therefore, dust control is one of the important work of brick and tile production enterprises; it is also an important measure to prevent the harm to workers' health and the decline of service life of equipment, to implement safe production and civilized production, to build a resource-saving and environment-friendly society, and to promote the harmonious development of man and nature.
The general technological process of brick and tile production is to crush, grind and screen shale, fly ash, waste residue and other raw materials into powder, and then add water to mix them evenly, aging, and then vacuum extrusion to form various forms of brick and tile products. Dust pollution is more prominent in the production process of brick and tile. The dust in brick and tile production mainly comes from the production and transportation process of raw materials, such as crushing, grinding and screening of raw materials, as well as the whole production process in which powder is transported from one process to another through bucket elevator and (or) belt conveyor and (or) screw conveyor, etc. [1] [2]. Therefore, it is one of the important measures to prevent the decline of production and health of workers, and to prevent the decline of production and health of workers. Bag filter is widely used in brick factory. The filtering effect of bag filter is much higher than that of wet dust collector. The dust recovered by bag filter can be reused and added to raw materials to continue to produce semi-finished products. The discharged flue gas can be effectively filtered by the bag filter and discharged into the atmosphere_ The emission of flue gas and dust meets the standard [3] [4]. Generally, pulse injection is selected as the dust cleaning mode of the dust remover in brick factory. This method has good dust removal effect, but it needs air source support in its operation environment_ The gas and air pressure required for the operation of the pulse valve_ When the pulse valve works normally, the way of pulse jet soot cleaning is to produce a downward pressure instantly to make the bag expand instantly, and shake off the dust on the surface of the bag, so as to achieve the purpose of dust cleaning. However, the effect of other soot cleaning methods, such as mechanical back blowing and mechanical vibration cleaning, is not as good as that of pulse injection. For the treatment of flue gas dust, pulse effect.
Objective evaluation of the performance of bag filter is helpful to improve the design and manufacturing level of the equipment, to select the dust removal equipment with good performance, to use and maintain the equipment reasonably, to protect the health of workers, and to promote the safe production and sustainable development of enterprises_ The role of. Grey target theory is an important tool of grey evaluation theory and grey decision theory. The core of grey target theory is to find out from a set of pattern sequences according to the requirements of proposition information domain_ The data close to the target value of the sub proposition is constructed into a standard mode, and then each mode and the standard mode constitute the target of the target. The standard mode is the target center of the grey target. According to the meaning of the sub proposition, the mode far away from the target is the target edge. The closer the sub proposition is to the center of the grey target, the higher the efficiency is. Every gray The grey correlation degree between pattern and target in association difference information space is called bull's-eye degree. In this paper, the performance of pulse bag filter is evaluated by using double base point ash target model.
 

 

1、 Double base point grey target model

 

one point one Double base point grey target model

In the traditional grey target decision-making, only the decision-making scheme is away from the target_ The recent situation is not considered_ The best decision-making plan should be off target_ Close at the same time from the negative bull's-eye_ Far away. In this paper, the double base point grey target model is used to improve, that is, the positive and negative target centers are constructed respectively to evaluate the unit's advantages and disadvantages by evaluating the unit's proximity to the positive target and far away from the negative target [7][8] Performance evaluation of pulse bag filter based on double base point ash target_ The grey target theory is used to compare the evaluation objects with the standard model_ If it is close to the positive target and away from the negative one, the better the evaluation object is. The performance of the two target pulse bag filter is evaluated as follows.

 

one point two Determine the evaluation index

 

The technical parameters of pulse bag filter include air volume, total filtering area, net filtering area, number of dust collector rooms, total number of filter bags, dust concentration of inlet gas, dust concentration of outlet gas, consumption of compressed air for dust cleaning. Dust removal efficiency, pressure loss, filtering wind speed and pulse injection are the three elements of pulse bag filter. In this paper, the dust emission concentration, dust removal efficiency, pressure loss, body air leakage rate, shell pressure strength, compressed air are selected Consumption six Three parameters are used as the performance evaluation index of pulse bag filter   Marked as C={c one c two c six } In Hubei Province five From a brick and tile factory five Taiwan MDC12 Type pulse bag filter is the research object  S={s one s two s five } It's been tested five About the dust collector six The data of personality indicators are shown in the table one

  Performance index value of 1 bag filter
 
1.3. Data standardization:
Due to the different dimensions and orders of magnitude of each performance index value of the precipitator, it is necessary to standardize the original data in order to facilitate comparative analysis. In order to improve the difference rate, the transformation operator of "reward the good and punish the bad" is used to normalize the data [8]. n zj= 1n∑i=1xij (1) When Rij is benefit data, the data normalization method is as follows:
When Rij is the cost type data, the data normalization method is as follows: ZJ is the mean value of performance index; Xij is the original data; SIJ is the normalized data.
Among the six performance indexes of pulse bag filter, the dust removal efficiency and shell pressure strength are benefit data, dust emission concentration, pressure loss, body air leakage rate and compressed air consumption are cost data. The data standardization results are shown in Table 2.
  Table 2 normalized data and bull's-eye position
surface two Standardized data and bull's-eye position  
  1.4  Determine the position of positive and negative bull's-eye

 

The positive target center of bag filter is taken as each index_ Excellent value, recorded as

 

s + ={ s + one s + two s + n } The negative bull's-eye is taken as each index_ Difference, record

 

For s - ={ s - one s - two s - n } , then

  (4)

 

According to the table two Standardized results, five The positive and negative target centers of the desktop dust collector are s + ={1 one zero point nine zero nine zero nine zero point nine four four four four zero point nine three five four eight 0.73913} s - ={-1 -0.76471 -1 -1 -1 -1}

 

1.5、 Determine the weight:

conventional 1~9 The calculation process of scale method to determine the weight is complex, and the consistency test is needed. In this paper, the fuzzy consistent matrix is used to determine the weight of performance index, which is simple in calculation and does not need consistency test.

 

The basic method is: first, the importance of each performance index is compared, and then according to the table three As shown in Fig 0.1~0.9 Determination of scaling rule

  The priority relation matrix is constructed by scoring Complementary matrix D

  Table 3 determination rules of scale value
 
  surface three Rules for determining scale value
 
 

D =( d ij ope体育

(5)

Where d ij Is the performance index i Relative to performance index j Where,

 

d ii =0.5 d ji =1- d ij

 

Constructing fuzzy consistent matrix according to priority relation matrix [8]

(6)

E = (e ij

e ij =( e i - e j )/2 n +0.5

(7)ope体育

 
Evaluation 1.6 record dust emission concentration, dust removal efficiency, pressure loss, body air leakage rate, shell pressure strength, compressed air consumption 6

The indexes of personality were as follows one two three four five six According to the relevant standards and production practice, their importance scores are respectively d twelve =0.7 d thirteen =0.8 d fourteen =

zero point seven d fifteen =0.8 d sixteen =0.8 d twenty-three =0.8 d twenty-four =0.7 d twenty-five =0.7 d twenty-six =0.8 d thirty-four =0.4 d thirty-five =0.4 d thirty-six =0.5 d forty-five =0.6 d forty-six =0.7 d fifty-six =0.6 The best

First relation matrix :

because e one =4.3 e two =3.8 e three =2.2 e four =3.0 e three =2.6 e four =2.1 , then e twelve =0.5417 e thirteen =0.6750 e fourteen =0.6083 e fifteen =0.6417 e sixteen =   zero point six eight three three e twenty-three =0.6333 e twenty-four =0.5667 e twenty-five =0.6 e twenty-six =0.6417 e thirty-four = 0.4333 e thirty-five =0.4667 e thirty-six =0.508 e forty-five =0.5333 e forty-six =0.5750

e fifty-six =0.5417 , take α=2.0 Then the fuzzy consistent matrix is :

Therefore, the weight vector is P=(0.2272 zero point two zero zero three zero point one three three seven zero point one six one zero zero point one five zero three 0.1295) ; due to p one +p two +p three +p four +p five =1 Therefore, indicators

The weight of :

W =(0.2272 zero point two zero zero three zero point one three three seven zero point one six one zero zero point one five zero three 0.1295)

 

After calculation, the distances between the evaluation objects and the positive and negative target centers are shown in the table four

 

one point seven Calculate the closeness degree of evaluation object

 

Closeness is a comprehensive consideration of the relationship between the evaluation object and the positive and negative target center, which indicates the distance between the evaluation object and the positive and negative target center

(8) The greater the degree of closeness, the better the evaluation object.

 

The closeness between the evaluation object and the target is as follows:

 

According to the calculation, the closeness between the evaluation objects and the target center is shown in the table four

  From table four Know, MDC12 Type pulse bag filter s one Comprehensive performance_ Excellent, s four Comprehensive performance_ Poor. five The evaluation results of pulse bag filter are shown in the figure one
  Figure 1 visual diagram of performance evaluation of pulse bag filter
 
 
  2、 Conclusion:

    There are many dust sources and dust removal equipment in brick factory, so it is difficult to control dust. Choose the dust removal equipment with good performance_ It is beneficial to the economic benefits of enterprises and can produce good social benefits. The wet dust collector is not as good as the bag filter in the purification of dust and flue gas, and the discharge of water pollution caused by it is also a pollution to the environment. Bag filter has the advantages of high dust removal efficiency, stable skeleton, simple dust disposal, sensitive operation and convenient layout, and has no secondary pollution, so it has been widely used in brick and tile industry. Grey target decision-making method is an important part of grey system theory system, which is widely used in social, management, military and other fields. The grey target theory is to set a grey target without standard mode, find the target center in the grey target through the grey target theory, and then compare many index modes with the standard mode_ After that, it was divided into grades

(10)  Determine the assessment. In this paper, the double base point ash target model is used to evaluate the comprehensive performance of the pulse bag filter, which can effectively improve the accuracy and reliability of the evaluation, so as to provide reference for the selection, use, transformation and maintenance of dust removal equipment in brick and tile industry (11)  Nursing provides reference. With the rapid development of dust removal technology and filter material technology, bag filter catches dust containing gas with high dust concentration and fine fineness

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