Self-adaptive control method and device for dust reduction and purification in silicon steel hot rolling

文档序号:979294 发布日期:2020-11-06 浏览:23次 中文

阅读说明:本技术 一种硅钢热轧中降尘净化自适应控制方法和装置 (Self-adaptive control method and device for dust reduction and purification in silicon steel hot rolling ) 是由 熊雯 郑小强 姚红武 赵雪松 陈一峰 丁茹 黄东 袁伟 陈燕才 于 2020-06-29 设计创作,主要内容包括:本发明涉及硅钢热轧生产技术领域,具体涉及一种硅钢热轧中降尘净化自适应控制方法和装置。该方法包括:步骤11,计算所述雾化喷嘴的喷射速度范围和喷射角度范围;步骤12,确定所述雾化喷嘴的喷射速度;步骤13,计算液滴粒径和喷嘴流量;步骤14,判断所述液滴粒径与现场的粉尘粒径是否一致;步骤15,若不一致,则返回步骤12,重新确定所述喷射速度;步骤16,若一致,则以所述喷嘴流量和所述喷射角度范围,控制所述雾化喷嘴对现场进行降尘净化处理。本发明根据板带的移动速度、安装位置和最低液滴高度确定出了雾化喷嘴的喷射速度,并根据该速度计算出喷嘴流量和液滴粒径,使用该雾化喷嘴的喷射速度实现了对现场粉尘的高效降尘净化。(The invention relates to the technical field of silicon steel hot rolling production, in particular to a self-adaptive control method and device for dust fall and purification in silicon steel hot rolling. The method comprises the following steps: step 11, calculating the spray speed range and the spray angle range of the atomizing nozzle; step 12, determining the injection speed of the atomizing nozzle; step 13, calculating the particle size of the liquid drop and the flow rate of the nozzle; step 14, judging whether the particle size of the liquid drop is consistent with the particle size of the on-site dust; step 15, if the difference is not consistent, returning to the step 12, and re-determining the injection speed; and step 16, if the flow rate of the nozzle is consistent with the spray angle range, controlling the atomizing nozzle to perform dust fall purification treatment on the site. The invention determines the spray speed of the atomizing nozzle according to the moving speed, the mounting position and the lowest droplet height of the plate strip, calculates the nozzle flow and the droplet particle size according to the speed, and realizes the high-efficiency dust-settling purification of the field dust by using the spray speed of the atomizing nozzle.)

1. The self-adaptive control method for dust fall and purification in silicon steel hot rolling is characterized by comprising the following steps of:

step 11, calculating the spray speed range and the spray angle range of the atomizing nozzles according to the moving speed, the mounting position and the lowest liquid drop height of the plate strip; wherein the mounting location comprises a vertical height of the atomizing nozzle to a center plane of the strip and a horizontal length of the atomizing nozzle to an axis of an upper work roll of a hot roughing mill; the lowest liquid drop height is the vertical height from the lowest position of the upper working roll to the central plane of the plate strip, which can be reached by the liquid drops sprayed by the atomizing nozzles;

step 12, determining the spray speed of the atomizing nozzle according to the spray speed range;

step 13, calculating the particle size of liquid drops and the flow rate of the nozzle according to the spraying speed of the atomizing nozzle;

step 14, judging whether the particle size of the liquid drop is consistent with the particle size of the on-site dust;

step 15, if the difference is not consistent, returning to the step 12, and re-determining the injection speed;

and step 16, if the flow rate of the nozzle is consistent with the spray angle range, controlling the atomizing nozzle to perform dust fall purification treatment on the site.

2. The adaptive dustfall purging control method of claim 1, wherein after the step 16, the method further comprises:

acquiring the current dust concentration of the site;

judging whether the current dust concentration is greater than the maximum set concentration;

if yes, calculating the flow Q' of the self-adaptive nozzle, wherein the specific calculation formula is as follows:

Figure FDA0002560373750000011

wherein Q is the nozzle flow rate, CactIs the current dust concentration, C0In order to obtain the maximum set concentration, delta Q is a maximum nozzle flow regulating value, delta C is the temperature variation of the plate strip at a coiling inlet in a set step length, and eta is a regulating coefficient;

and controlling the atomizing nozzle to perform dust settling and purifying treatment on the site according to the flow of the self-adaptive nozzle.

3. The adaptive control method for dustfall purification according to claim 1, wherein the step 11 comprises:

calculating a lower limit speed V of the injection speed range1Upper limit speed V of the injection speed range2And an injection angle range gamma, and the specific calculation formula is as follows:

wherein, V0The moving speed of the plate strip is set as h, the vertical height from the atomizing nozzle to the central plane of the plate strip is set as L, the horizontal length from the atomizing nozzle to the axis of the upper working roll is set as L, the height of the lowest liquid drop is set as x, and the radius of the upper working roll is set as R.

4. The adaptive control method for dustfall purification according to claim 3, wherein the step 12 comprises:

from said lower limit speed V1To the upper limit speed V2In the injection speed range therebetween, the injection speed is determined.

5. The adaptive control method for dustfall purification according to claim 4, wherein the step 13 comprises:

calculating the particle size D of the liquid drop, wherein the specific calculation formula is as follows:

wherein v is the injection velocity, abIs the surface tension coefficient of a liquid, σ1Is the surface tension coefficient of a liquid, mulIs the kinematic viscosity of the liquid, plIs the density of the liquid, K0Is an empirical coefficient, C is a shape coefficient of the atomizing nozzle, ρgIs the density of ambient gas, UdIs the difference in flow rate of the gas-liquid,bis the amplitude of the surface wave when the liquid film is broken,0is the initial amplitude of the liquid film surface wave at the outlet of the atomizing nozzle;

and calculating the flow of the nozzle according to the relation between the speed and the flow of the atomizing nozzle.

6. The adaptive control method for dustfall purification according to claim 5, wherein the step 14 comprises:

judging whether the droplet particle size D and the on-site dust particle size D accord with a first inequality; wherein the expression of the first inequality is:

D≤d+;

wherein, modification parameters are set;

and if the particle size of the liquid drops is consistent with the particle size of the dust on site, determining that the particle size of the liquid drops is consistent with the particle size of the dust on site.

7. The utility model provides a dust fall purifies self-adaptation control device in silicon steel hot rolling which characterized in that, the device includes:

the first calculation module is used for calculating the spray speed range and the spray angle range of the atomizing nozzle according to the moving speed, the mounting position and the lowest liquid drop height of the plate strip; wherein the mounting location comprises a vertical height of the atomizing nozzle to a center plane of the strip and a horizontal length of the atomizing nozzle to an axis of an upper work roll of a hot roughing mill; the lowest liquid drop height is the vertical height from the lowest position of the upper working roll to the central plane of the plate strip, which can be reached by the liquid drops sprayed by the atomizing nozzles;

the first determining module is used for determining the injection speed of the atomizing nozzle according to the injection speed range;

the second calculation module is used for calculating the particle size of liquid drops and the flow rate of the nozzle according to the spraying speed of the atomizing nozzle;

the first judgment module is used for judging whether the particle size of the liquid drop is consistent with the particle size of dust on site;

the first updating module is used for returning to the first determining module to re-determine the spraying speed when the liquid drop particle size is inconsistent with the on-site dust particle size;

and the first control module is used for controlling the atomizing nozzle to perform dust fall purification treatment on the site according to the nozzle flow and the spraying angle range when the droplet particle size is consistent with the dust particle size on the site.

8. The adaptive dustfall purging control device of claim 7, further comprising:

the current dust concentration acquisition module is used for acquiring the current dust concentration of the site after the first control module performs control work;

the second judgment module is used for judging whether the current dust concentration is greater than the maximum set concentration;

a third calculating module, configured to calculate a self-adaptive nozzle flow Q' when the current dust concentration is greater than the maximum set concentration, where the specific calculation formula is:

Figure FDA0002560373750000041

wherein Q is the nozzle flow rate, CactIs the current dust concentration, C0In order to obtain the maximum set concentration, delta Q is a maximum nozzle flow regulating value, delta C is the temperature variation of the plate strip at a coiling inlet in a set step length, and eta is a regulating coefficient;

and the second control module is used for controlling the atomizing nozzle to perform dust settling and purifying treatment on the site according to the flow of the self-adaptive nozzle.

9. The utility model provides a dust fall purifies self-adaptation control apparatus in silicon steel hot rolling which characterized in that includes:

a memory for storing a computer program;

a processor for executing the computer program to carry out the steps of the method of any one of claims 1 to 6.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, is adapted to carry out the steps of the method of any one of claims 1 to 6.

Technical Field

The invention relates to the technical field of silicon steel hot rolling production, in particular to a self-adaptive control method and device for dust fall and purification in silicon steel hot rolling.

Background

In the hot rolling process of silicon steel, secondary iron oxide scales on the surface of a rolled material are separated from the surface of the rolled material along with the extrusion of a roller, and a large amount of high-silicon iron oxide scale dust is generated, wherein the silicon element content of the dust is up to 9-20%, and the particle size range of the dust is 0.62-117.13 μm (the median is about 21.73 μm). The high silicon dust is easy to scale on rolling mill components such as a rolling mill housing, a guide position and the like, and corrode mechanical and electronic components of the rolling mill. Meanwhile, fine dust with the particle size of less than 10 μm in the high silicon dust can rise and disperse with hot air generated in the hot rolling process, seriously worsen the workshop environment and damage the health of workers.

Therefore, how to efficiently perform dust settling and purification in silicon steel hot rolling is a technical problem which needs to be solved at present.

Disclosure of Invention

The invention aims to provide a self-adaptive control method and a device for dust suppression and purification in silicon steel hot rolling, which are used for efficiently performing dust suppression and purification in the silicon steel hot rolling.

The embodiment of the invention provides the following scheme:

in a first aspect, an embodiment of the present invention provides a self-adaptive control method for dust fall and purification in silicon steel hot rolling, where the method includes:

step 11, calculating the spray speed range and the spray angle range of the atomizing nozzles according to the moving speed, the mounting position and the lowest liquid drop height of the plate strip; wherein the mounting location comprises a vertical height of the atomizing nozzle to a center plane of the strip and a horizontal length of the atomizing nozzle to an axis of an upper work roll of a hot roughing mill; the lowest liquid drop height is the vertical height from the lowest position of the upper working roll to the central plane of the plate strip, which can be reached by the liquid drops sprayed by the atomizing nozzles;

step 12, determining the spray speed of the atomizing nozzle according to the spray speed range;

step 13, calculating the particle size of liquid drops and the flow rate of the nozzle according to the spraying speed of the atomizing nozzle;

step 14, judging whether the particle size of the liquid drop is consistent with the particle size of the on-site dust;

step 15, if the difference is not consistent, returning to the step 12, and re-determining the injection speed;

and step 16, if the flow rate of the nozzle is consistent with the spray angle range, controlling the atomizing nozzle to perform dust fall purification treatment on the site.

In a possible embodiment, after the step 16, the method further comprises:

acquiring the current dust concentration of the site;

judging whether the current dust concentration is greater than the maximum set concentration;

if yes, calculating the flow Q' of the self-adaptive nozzle, wherein the specific calculation formula is as follows:

Figure BDA0002560373760000021

wherein Q is the nozzle flow rate, CactIs the current dust concentration, C0In order to obtain the maximum set concentration, delta Q is a maximum nozzle flow regulating value, delta C is the temperature variation of the plate strip at a coiling inlet in a set step length, and eta is a regulating coefficient;

and controlling the atomizing nozzle to perform dust settling and purifying treatment on the site according to the flow of the self-adaptive nozzle.

In a possible embodiment, the step 11 includes:

calculating a lower limit speed V of the injection speed range1Upper limit speed V of the injection speed range2And an injection angle range gamma, and the specific calculation formula is as follows:

Figure BDA0002560373760000031

wherein, V0The moving speed of the plate strip is set as h, the vertical height from the atomizing nozzle to the central plane of the plate strip is set as L, the horizontal length from the atomizing nozzle to the axis of the upper working roll is set as L, the height of the lowest liquid drop is set as x, and the radius of the upper working roll is set as R.

In a possible embodiment, the step 12 includes:

from said lower limit speed V1To the upper limit speed V2In the injection speed range therebetween, the injection speed is determined.

In a possible embodiment, said step 13 comprises:

calculating the particle size D of the liquid drop, wherein the specific calculation formula is as follows:

wherein v is the injection velocity, abIs the surface tension coefficient of a liquid, σ1Is the surface tension coefficient of a liquid, mulIs the kinematic viscosity of the liquid, plIs the density of the liquid, K0Is an empirical coefficient, C is a shape coefficient of the atomizing nozzle, ρgIs the density of ambient gas, UdIs the difference in flow rate of the gas-liquid,bis the amplitude of the surface wave when the liquid film is broken,0is the initial amplitude of the liquid film surface wave at the outlet of the atomizing nozzle;

and calculating the flow of the nozzle according to the relation between the speed and the flow of the atomizing nozzle.

In a possible embodiment, said step 14 comprises:

judging whether the droplet particle size D and the on-site dust particle size D accord with a first inequality; wherein the expression of the first inequality is:

D≤d+;

wherein, modification parameters are set;

and if the particle size of the liquid drops is consistent with the particle size of the dust on site, determining that the particle size of the liquid drops is consistent with the particle size of the dust on site.

In a second aspect, an embodiment of the present invention provides a self-adaptive control device for dust suppression and purification in silicon steel hot rolling, where the device includes:

the first calculation module is used for calculating the spray speed range and the spray angle range of the atomizing nozzle according to the moving speed, the mounting position and the lowest liquid drop height of the plate strip; wherein the mounting location comprises a vertical height of the atomizing nozzle to a center plane of the strip and a horizontal length of the atomizing nozzle to an axis of an upper work roll of a hot roughing mill; the lowest liquid drop height is the vertical height from the lowest position of the upper working roll to the central plane of the plate strip, which can be reached by the liquid drops sprayed by the atomizing nozzles;

the first determining module is used for determining the injection speed of the atomizing nozzle according to the injection speed range;

the second calculation module is used for calculating the particle size of liquid drops and the flow rate of the nozzle according to the spraying speed of the atomizing nozzle;

the first judgment module is used for judging whether the particle size of the liquid drop is consistent with the particle size of dust on site;

the first updating module is used for returning to the first determining module to re-determine the spraying speed when the liquid drop particle size is inconsistent with the on-site dust particle size;

and the first control module is used for controlling the atomizing nozzle to perform dust fall purification treatment on the site according to the nozzle flow and the spraying angle range when the droplet particle size is consistent with the dust particle size on the site.

In a possible embodiment, the apparatus further comprises:

the current dust concentration acquisition module is used for acquiring the current dust concentration of the site after the first control module performs control work;

the second judgment module is used for judging whether the current dust concentration is greater than the maximum set concentration;

a third calculating module, configured to calculate a self-adaptive nozzle flow Q' when the current dust concentration is greater than the maximum set concentration, where the specific calculation formula is:

wherein Q is the nozzle flow rate, CactIs the current dust concentration, C0In order to obtain the maximum set concentration, delta Q is a maximum nozzle flow regulating value, delta C is the temperature variation of the plate strip at a coiling inlet in a set step length, and eta is a regulating coefficient;

and the second control module is used for controlling the atomizing nozzle to perform dust settling and purifying treatment on the site according to the flow of the self-adaptive nozzle.

In one possible embodiment, the first calculation module includes:

a third calculation module for calculating a lower limit speed V of the injection speed range1Upper limit speed V of the injection speed range2And an injection angle range gamma, and the specific calculation formula is as follows:

Figure BDA0002560373760000061

wherein, V0The moving speed of the plate strip is set as h, the vertical height from the atomizing nozzle to the central plane of the plate strip is set as L, the horizontal length from the atomizing nozzle to the axis of the upper working roll is set as L, the height of the lowest liquid drop is set as x, and the radius of the upper working roll is set as R.

In one possible embodiment, the first determining module includes:

a second determination module for determining the lower limit speed V1To the upper limit speed V2In the injection speed range therebetween, the injection speed is determined.

In a possible embodiment, the second calculation module includes:

the fourth calculation module is used for calculating the droplet particle size D, and the specific calculation formula is as follows:

wherein v is the injection velocity, abIs the surface tension coefficient of a liquid, σ1Is the surface tension coefficient of a liquid, mulIs the kinematic viscosity of the liquid, plIs the density of the liquid, K0Is an empirical coefficient, C is a shape coefficient of the atomizing nozzle, ρgIs the density of ambient gas, UdIs the difference in flow rate of the gas-liquid,bis the amplitude of the surface wave when the liquid film is broken,0is the initial amplitude of the liquid film surface wave at the outlet of the atomizing nozzle;

and the fifth calculation module is used for calculating the nozzle flow according to the relation between the speed and the flow of the atomizing nozzle.

In a possible embodiment, the first determining module includes:

the third judgment module is used for judging whether the liquid drop particle size D and the on-site dust particle size D accord with a first inequality; wherein the expression of the first inequality is:

D≤d+;

wherein, modification parameters are set;

and the first determination module is used for determining that the droplet particle size D is consistent with the on-site dust particle size when the droplet particle size D and the on-site dust particle size D accord with the first inequality.

In a third aspect, an embodiment of the present invention provides a self-adaptive control device for dust fall and purification in silicon steel hot rolling, including:

a memory for storing a computer program;

a processor for executing the computer program to realize the steps of the self-adaptive control method for dust reduction and purification in silicon steel hot rolling according to any one of the first aspect.

In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the steps of the adaptive control method for dust suppression and purification in silicon steel hot rolling according to any one of the first aspect.

Compared with the prior art, the invention has the following advantages and beneficial effects:

according to the invention, the spraying speed of the atomizing nozzle is determined according to the moving speed, the mounting position and the lowest droplet height of the plate strip, the nozzle flow and the droplet particle size are calculated according to the speed, and if the droplet particle size is consistent with the particle size of the on-site dust, the droplet sprayed by the nozzle at the moment has effective purification capacity and can effectively remove the dust on the site, so that the high-efficiency dust removal and purification of the on-site dust in the silicon steel hot rolling can be realized by using the spraying speed of the atomizing nozzle.

Drawings

In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present specification, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.

FIG. 1 is a flow chart of a self-adaptive control method for dust reduction and purification in silicon steel hot rolling provided by the embodiment of the invention;

FIG. 2 is a schematic illustration of the location of the atomizing nozzles, the strip and the hot roughing mill in an embodiment of the present invention;

fig. 3 is a schematic structural diagram of a self-adaptive control device for dust suppression and purification in silicon steel hot rolling according to an embodiment of the present invention.

Description of reference numerals: 1 is an atomizing nozzle, 2 is a plate strip, 3 is an upper working roll, and 4 is a lower working roll.

Detailed Description

The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, rather than all embodiments, and all other embodiments obtained by those skilled in the art based on the embodiments of the present invention belong to the scope of protection of the embodiments of the present invention.

Referring to fig. 1, fig. 1 is a flowchart of a self-adaptive control method for dust reduction and purification in silicon steel hot rolling according to an embodiment of the present invention, including steps 11 to 17.

And 11, calculating the spray speed range and the spray angle range of the atomizing nozzle according to the moving speed, the mounting position and the lowest liquid drop height of the plate strip.

Wherein the mounting location comprises a vertical height of the atomizing nozzle to a center plane of the strip and a horizontal length of the atomizing nozzle to an axis of an upper work roll of a hot roughing mill. The lowest liquid drop height is the vertical height from the lowest position of the upper working roll to the central plane of the plate belt, which can be reached by the liquid drops sprayed by the atomizing nozzles.

Specifically, fig. 2 is a schematic view showing the positions of the atomizing nozzle, the plate strip and the hot-rolling roughing mill in the present invention. Wherein the hot-rolling roughing mill comprises an upper working roll 3 and a lower working roll 4, and is used for roughing the plate strip 2. The atomizing nozzles 1 are distributed in a row along the axis direction of the upper working roll 3 and are used for spraying liquid drops towards the upper working roll 3, so that dust in the field is prevented from further diffusing, and the effects of purifying and removing dust are achieved. When the atomizing nozzle is controlled to rotate to spray liquid drops within a certain angle range, the liquid drops cannot reach the plate belt due to the shielding effect of the upper working roll, and the lowest vertical height which can be reached by the liquid drops and is relative to the central plane of the plate belt is the lowest liquid drop height.

Specifically, according to the specific installation position of the atomizing nozzle and the current moving speed of the plate strip, the spraying speed range and the spraying angle range of the liquid drops sprayed by the atomizing nozzle can be calculated according to experience. Gamma in fig. 2 is the range of spray angle, which means that the atomizing nozzle can only move in the range of gamma.

Certainly, the calculation is carried out by artificial experience alone, so that the calculated injection speed range and the calculated injection angle range have larger errors and low reliability, and therefore, the invention also provides a calculation method of the injection speed range and the injection angle range, and the specific scheme is as follows:

the step 11 includes a step 21.

Step 21, calculating a lower limit speed V of the injection speed range1Upper limit speed V of the injection speed range2And an injection angle range gamma, and the specific calculation formula is as follows:

wherein, V0The moving speed of the plate strip is set as h, the vertical height from the atomizing nozzle to the central plane of the plate strip is set as L, the horizontal length from the atomizing nozzle to the axis of the upper working roll is set as L, the height of the lowest liquid drop is set as x, and the radius of the upper working roll is set as R.

Through the calculation formula, the calculation of the spray speed range and the spray angle range can be repeatedly and reliably carried out, and the dust removal capacity of the final atomizing nozzle is improved.

And 12, determining the spray speed of the atomizing nozzle according to the spray speed range.

Specifically, the step 12 includes a step 31.

Step 31, starting from said lower limit speed V1To the upper limit speed V2In the injection speed range therebetween, the injection speed is determined.

Specifically, the injection velocity V ∈ [ V ]1,V2]Therefore, can be in [ V ] with a certain rule1,V2]The injection velocity v is determined.

And step 13, calculating the particle size of the liquid drop and the flow rate of the nozzle according to the spraying speed of the atomizing nozzle.

Specifically, the spray velocity of the atomizing nozzle is directly related to the nozzle flow, and the higher the nozzle flow is, the higher the spray velocity is, so that the nozzle flow can be calculated according to the rule; meanwhile, the particle size distribution of the liquid drops generated by different jetting speeds is also different, the larger the jetting speed is, the smaller the particle size of the liquid drops is, and the particle size of the liquid drops can be calculated according to the rule.

Here, the present invention also provides a better scheme for calculating the droplet particle size and the nozzle flow rate, specifically:

the step 13 includes steps 41 to 42.

Step 41, calculating the droplet particle size D, wherein the specific calculation formula is as follows:

wherein v is the injection velocity, abIs the surface tension coefficient of a liquid, σ1Is the surface tension coefficient of a liquid, mulIs the kinematic viscosity of the liquid, plIs the density of the liquid, K0Is an empirical coefficient, C is a shape coefficient of the atomizing nozzle, ρgIs the density of ambient gas, UdIs the difference in flow rate of the gas-liquid,bis the amplitude of the surface wave when the liquid film is broken,0is the initial amplitude of the liquid film surface wave at the outlet of the atomizing nozzle;

and 42, calculating the flow of the nozzle according to the relation between the speed and the flow of the atomizing nozzle.

And 14, judging whether the particle size of the liquid drop is consistent with the particle size of the on-site dust.

Specifically, when the droplet size is equal to or smaller than the dust size, the droplet is easily attached to the dust, and the dust is increased in mass, thereby removing the dust in the air.

Here, the present invention also provides a better judgment scheme, which specifically comprises:

the step 14 includes steps 51 to 52.

Step 51, judging whether the droplet particle size D and the on-site dust particle size D accord with a first inequality; wherein the expression of the first inequality is:

D≤d+;

wherein, modification parameters are set;

and step 52, if the particle size of the liquid drops is consistent with the particle size of the on-site dust, determining that the particle size of the liquid drops is consistent with the particle size of the on-site dust.

And step 15, if the difference is not consistent, returning to the step 12, and re-determining the injection speed.

Specifically, if the particle size of the liquid drop is not consistent with the particle size of the on-site dust, it indicates that the liquid drop generated by the current nozzle flow does not have sufficient dust removal and purification capacity, and adaptive adjustment needs to be performed again to improve the dust removal and purification capacity.

And step 16, if the flow rate of the nozzle is consistent with the spray angle range, controlling the atomizing nozzle to perform dust fall purification treatment on the site.

Specifically, if the particle size of the liquid drop is consistent with the particle size of the on-site dust, the nozzle flow of the atomizing nozzle is controlled to be the calculated nozzle flow, and the atomizing nozzle swings back and forth in the calculated spraying angle range to perform dust removal operation.

In a possible embodiment, along with the use of the atomizing nozzle and the abrasion of related parts, the relationship among the nozzle flow, the nozzle flow velocity range and the spray angle range changes, so that the nozzle flow calculated by the scheme cannot well control the atomizing nozzle to carry out dust removal and purification on the site, therefore, the invention also provides a scheme for adaptively optimizing the nozzle flow so as to realize effective purification and dust removal on site dust after the atomizing nozzle is abraded, and the specific scheme is as follows:

after the step 16, the method further comprises:

and 61, acquiring the current dust concentration of the site.

Specifically, in this embodiment, a laser particle analyzer or an air quality detector may be used to measure and obtain the current dust concentration on the site.

And step 62, judging whether the current dust concentration is greater than the maximum set concentration.

Specifically, the maximum set concentration is the maximum dust concentration which can be tolerated at present, and if the current dust concentration is greater than the maximum set concentration, the pollution to existing equipment and plates and strips may be caused, and the health of field technicians may be damaged.

Specifically, after the atomizing nozzle is subjected to the adaptive control from step 11 to step 16, the current dust concentration should be not greater than the maximum set concentration, and if the current dust concentration is greater than the maximum set concentration, it indicates that the inner parts of the atomizing nozzle are worn, and the nozzle flow needs to be further adjusted.

Step 63, if yes, calculating the flow Q' of the adaptive nozzle, wherein the specific calculation formula is as follows:

wherein Q is the nozzle flow rate, CactIs the current dust concentration, C0And delta Q is the maximum set concentration, delta C is the temperature variation of the plate belt at the coiling inlet in a set step length, and eta is an adjusting coefficient.

And step 64, controlling the atomizing nozzle to perform dust settling and purifying treatment on the site according to the flow of the self-adaptive nozzle.

Specifically, this step uses the adaptive nozzle flow Q 'of newly-calculated to control atomizing nozzle and carry out dust fall purification work, can continue to carry out efficient dust removal purification work after atomizing nozzle wearing and tearing, has improved atomizing nozzle's life. Of course, when the difference between the adaptive nozzle flow Q' and the nozzle flow Q exceeds Δ Q, the atomizing nozzle needs to be replaced.

Based on the same inventive concept as the method, an embodiment of the present invention further provides a self-adaptive control device for dust reduction and purification in silicon steel hot rolling, as shown in fig. 3, the self-adaptive control device is a schematic structural diagram of the embodiment of the self-adaptive control device, and the self-adaptive control device includes:

the first calculation module 71 is used for calculating the spray speed range and the spray angle range of the atomizing nozzles according to the moving speed, the mounting position and the lowest liquid drop height of the plate strip; wherein the mounting location comprises a vertical height of the atomizing nozzle to a center plane of the strip and a horizontal length of the atomizing nozzle to an axis of an upper work roll of a hot roughing mill; the lowest liquid drop height is the vertical height from the lowest position of the upper working roll to the central plane of the plate strip, which can be reached by the liquid drops sprayed by the atomizing nozzles;

a first determining module 72, configured to determine an injection speed of the atomizing nozzle according to the injection speed range;

the second calculation module 73 is used for calculating the liquid drop particle size and the nozzle flow according to the spraying speed of the atomizing nozzle;

a first judging module 74, configured to judge whether the droplet particle size is consistent with the on-site dust particle size;

a first updating module 75, configured to return to the first determining module 72 to re-determine the spraying speed when the droplet size is inconsistent with the dust size on site;

and the first control module 76 is configured to control the atomizing nozzle to perform dust settling and purifying treatment on the site according to the nozzle flow and the spray angle range when the droplet particle size is consistent with the dust particle size on the site.

In a possible embodiment, the apparatus further comprises:

the current dust concentration acquisition module is used for acquiring the current dust concentration of the site after the first control module performs control work;

the second judgment module is used for judging whether the current dust concentration is greater than the maximum set concentration;

a third calculating module, configured to calculate a self-adaptive nozzle flow Q' when the current dust concentration is greater than the maximum set concentration, where the specific calculation formula is:

Figure BDA0002560373760000151

wherein Q is the nozzle flow rate, CactIs the current dust concentration, C0In order to obtain the maximum set concentration, delta Q is a maximum nozzle flow regulating value, delta C is the temperature variation of the plate strip at a coiling inlet in a set step length, and eta is a regulating coefficient;

and the second control module is used for controlling the atomizing nozzle to perform dust settling and purifying treatment on the site according to the flow of the self-adaptive nozzle.

In a possible embodiment, the first calculation module 71 comprises:

a third calculation module for calculating a lower limit speed V of the injection speed range1Upper limit speed V of the injection speed range2And an injection angle range gamma, and the specific calculation formula is as follows:

Figure BDA0002560373760000152

wherein, V0The moving speed of the plate strip is set as h, the vertical height from the atomizing nozzle to the central plane of the plate strip is set as L, the horizontal length from the atomizing nozzle to the axis of the upper working roll is set as L, the height of the lowest liquid drop is set as x, and the radius of the upper working roll is set as R.

In a possible embodiment, the first determining module 72 includes:

a second determination module for determining the lower limit speed V1To the upper limit speed V2In the injection speed range therebetween, the injection speed is determined.

In a possible embodiment, the second calculation module 73 comprises:

the fourth calculation module is used for calculating the droplet particle size D, and the specific calculation formula is as follows:

wherein v is the injection velocity, abIs the surface tension coefficient of a liquid, σ1Is the surface tension coefficient of a liquid, mulIs the kinematic viscosity of the liquid, plIs the density of the liquid, K0Is an empirical coefficient, C is a shape coefficient of the atomizing nozzle, ρgIs the density of ambient gas, UdIs the difference in flow rate of the gas-liquid,bis the amplitude of the surface wave when the liquid film is broken,0is the initial amplitude of the liquid film surface wave at the outlet of the atomizing nozzle;

and the fifth calculation module is used for calculating the nozzle flow according to the relation between the speed and the flow of the atomizing nozzle.

In a possible embodiment, the first determining module 74 includes:

the third judgment module is used for judging whether the liquid drop particle size D and the on-site dust particle size D accord with a first inequality; wherein the expression of the first inequality is:

D≤d+;

wherein, modification parameters are set;

and the first determination module is used for determining that the droplet particle size D is consistent with the on-site dust particle size when the droplet particle size D and the on-site dust particle size D accord with the first inequality.

Based on the same inventive concept as that in the previous embodiment, the embodiment of the present invention further provides an adaptive control apparatus for dust reduction and purification in silicon steel hot rolling, which includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and when the processor executes the program, the processor implements the steps of any one of the methods described above.

Based on the same inventive concept as in the previous embodiments, embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the steps of any of the methods described above.

The technical scheme provided by the embodiment of the invention at least has the following technical effects or advantages:

according to the embodiment of the invention, the spraying speed of the atomizing nozzle is determined according to the moving speed, the mounting position and the lowest liquid drop height of the strip, the nozzle flow and the liquid drop particle size are calculated according to the speed, and if the liquid drop particle size is consistent with the particle size of the on-site dust, the liquid drop sprayed by the nozzle at the moment has effective purification capacity and can effectively remove the dust on the site, so that the spraying speed of the atomizing nozzle can be used for effectively removing the dust on the site in the silicon steel hot rolling.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (modules, systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

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