CN112130454B - Intelligent adjusting method and system for moisture of sintering mixture - Google Patents
Intelligent adjusting method and system for moisture of sintering mixture Download PDFInfo
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Abstract
The invention discloses an intelligent moisture adjusting method and system for a sintering mixture. By the intelligent regulating method and system for the moisture of the sintering mixture, the energy consumption cost of an air draft system of a sintering machine is reduced, and the yield and the quality of sintered ore are improved.
Description
Technical Field
The invention belongs to the technical field of intelligent control, and particularly relates to an intelligent regulating method and system for moisture of a sintering mixture.
Background
In the sintering production process flow, the sintering material needs to be subjected to the processes of adding water for wetting, uniformly mixing and granulating so as to obtain a sintering mixture with good granularity composition. The water mainly plays a role in binding and wetting the surface of the materials in the mixing granulation. During the granulation process, moisture affects the granulation effect and thus the air permeability of the mixture. If the moisture of the sintering mixture is too low, the materials are difficult to form small granulating balls under the insufficient moisture bonding effect, the amount of fine powder materials is large, the granulating effect of the mixture is poor, and the sintering air permeability is poor; if the moisture content of the sinter mix is too high, the core particles rapidly adhere to a large amount of powder material during rolling, and the resulting granulated pellets are generally very large in size. During the further rolling granulation process, the green pellets are easy to be bonded and agglomerated under the wetting action of excessive water and the mechanical force action, and the gravity water on the surface of the material is excessive, so that the porosity of the mixture is reduced, and the sintering air permeability is also reduced. And the reduction of air permeability can increase the resistance and energy consumption of an air draft system of the sintering machine, and influence the vertical sintering speed so as to influence the yield and quality of sintered ores. Therefore, how to adjust the moisture of the mixture to ensure that the sintering mixture has optimal air permeability has great significance for improving the sintering productivity and economic benefit.
At present, the moisture adjustment of the sintering mixture of most of domestic steel plants still depends on manual adjustment, post workers set a moisture control value for a primary system according to the material condition, and then the moisture control value is readjusted according to the moisture degree of the mixture, the granulation size condition or the sampling detection of the bulk density of the mixture observed on site and the vertical combustion speed condition of a sintering machine. The mode only roughly adjusts the moisture control value according to the experience of workers, cannot perform optimized accurate adjustment, judges the adjustment through the vertical combustion speed of the sintering machine, and has larger hysteresis.
Chinese patent 201710012143.8 discloses a closed-loop control method for moisture of a sintering mixture, wherein a target moisture optimization determination method uses an evaluation index of the quality of the moisture of the mixture to perform optimization, the evaluation index is calculated according to the machine speed of a sintering machine, the flue temperature and the end point temperature, and the hysteresis of the determination method is very large.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The present invention has been made keeping in mind the above and/or other problems occurring in the prior art.
Therefore, an object of the present invention is to overcome the disadvantages in the prior art, and provide an intelligent method and system for adjusting moisture of a sintering mixture, so as to realize online monitoring of bulk density of the sintering mixture, and determine and adjust moisture of the mixture in real time according to the correlation between the bulk density of the sintering mixture and moisture and air permeability, so that the sintering mixture has optimal air permeability.
In order to solve the technical problems, the invention provides the following technical scheme: an intelligent regulating method for the water content of sinter mixture includes,
setting an initial moisture control value F1Obtaining a sintering mixture under an initial moisture control value;
acquiring a belt transmission speed v;
acquiring the weight m of the conveyed mixture;
acquiring three-dimensional data of the charge level of the mixture on the belt through a laser radar scanner;
generating the shape of the charge surface of the mixture according to the belt transmission speed v, the scanning frequency f of a laser radar scanner and the three-dimensional data of the charge surface, and calculating the bulk density P of the mixture1；
Adjusting the water control value according to the periodic signal, and calculating the real-time bulk density of the mixed material;
evaluating the real-time bulk density of the mixed material, and stopping water regulation if the real-time bulk density of the mixed material reaches the optimal bulk density; otherwise, correcting the initial moisture control value, taking the corrected moisture control value as the initial moisture control value, and repeating the steps.
As a preferred scheme of the intelligent moisture regulating method for the sintering mixture, the method comprises the following steps: the evaluation method comprises the following steps:
adjusting the water content control value to F according to the periodic signal delta F1B, calculating the real-time bulk density of the mixture to be P1+△P；
Calculating a mixture water evaluation index K:
K＝∑ΔF×ΔP；
if K is 0, the instantaneous bulk density of the mixture is the optimum bulk density.
As a preferred scheme of the intelligent moisture regulating method for the sintering mixture, the method comprises the following steps: further comprising setting a deviation range e, if K is within the deviation range e, F1The value is the optimal moisture control value; if K is not within the deviation range e, correcting F according to the value of K1And repeating the above steps.
As a preferred scheme of the intelligent moisture regulating method for the sintering mixture, the method comprises the following steps: the periodic signal deltaF is a periodic signal which changes according to a sine rule.
As a preferred scheme of the intelligent moisture regulating method for the sintering mixture, the method comprises the following steps: calculating the pile of the mixtureDensity P1The specific method comprises the following steps:
scanning the surface of an empty belt by a laser radar in advance, finding the average value of the same scanning point, and returning three-dimensional point cloud data of each point on the surface of the belt;
scanning the charge level of the mixture passing through the belt weigher in real time by using a laser radar to obtain three-dimensional point cloud data of the charge level of the mixture;
combining the three-dimensional point cloud data of the mixture charge level with the three-dimensional point cloud data of the belt surface, converting the data into a two-dimensional plane, generating a belt surface curve and a mixture charge level curve, and forming a mixture section shape chart;
calculating the section area s of the mixture scanned each time according to the section shape graph of the mixture;
according to the belt transmission speed v and the scanning frequency f of the laser radar scanner, calculating the distance L between two times of scanning as follows:
wherein T is the scanning period of the laser radar scanner;
calculating the volume V of the mixture as follows:
V＝s×L；
calculating bulk density P of the mixture1Comprises the following steps:
the invention also discloses an intelligent regulating system for the moisture of the sintering mixture, which comprises an acquisition module, a belt scale, a laser radar scanner and a control module which are respectively connected with the industrial personal computer;
the acquisition module is used for transmitting the real-time acquired moisture control value and the belt transmission speed to the industrial personal computer;
the belt scale is used for transmitting the weight of the mixture obtained in real time by the belt scale to the industrial personal computer;
the laser radar scanner is used for transmitting scanning frequency and real-time acquired three-dimensional data of the charge level of the mixture on the belt to the industrial personal computer;
the industrial personal computer generates the shape of the charge level of the mixture according to the received belt transmission speed, the scanning frequency of the laser radar scanner and the three-dimensional data of the charge level, and calculates the bulk density of the mixture;
the industrial personal computer adjusts a moisture control value according to the periodic signal through the control module and calculates the real-time bulk density of the mixed material;
the industrial personal computer evaluates the real-time bulk density of the mixed material, and stops water regulation if the real-time bulk density of the mixed material reaches the optimal bulk density; otherwise, correcting the initial moisture control value, taking the corrected moisture control value as the initial moisture control value, and repeating the steps;
the control module is used for receiving a signal sent by the industrial personal computer for adjusting the moisture control value and adjusting the moisture control value according to the signal.
As a preferable scheme of the intelligent regulating system for moisture of the sintering mixture, the system comprises: the industrial personal computer comprises a receiving module, a storage module, a calculation module, a judgment module and a sending module;
the receiving module is respectively connected with the acquisition module, the belt scale and the laser radar scanner and is used for receiving the real-time acquired moisture control value, the real-time acquired belt transmission speed, the scanning frequency of the laser radar scanner and the real-time scanned three-dimensional data of the charge level of the mixture on the belt;
the calculation module is connected with the receiving module and calculates the bulk density of the mixed material according to the belt transmission speed, the scanning frequency of the laser radar scanner and the three-dimensional data of the charge level;
the judging module is connected with the calculating module and used for judging whether the calculated bulk density of the mixed material reaches the optimal bulk density, if so, a command of stopping moisture regulation is sent out, and if not, a command of correcting the initial moisture control value is sent out;
the sending module is connected with the judging module and the control module and is used for transmitting the command sent by the judging module to the control module;
the storage module is respectively connected with the receiving module, the calculating module and the judging module and is used for storing the information of the receiving module, the calculating module and the judging module.
As a preferable scheme of the intelligent regulating system for moisture of the sintering mixture, the system comprises: the belt weigher is arranged below a belt at the outlet of the two-mixer, the laser radar scanner is arranged right above the belt weigher and used for scanning the charge level three-dimensional data of the mixture passing through the belt weigher.
As a preferable scheme of the intelligent regulating system for moisture of the sintering mixture, the system comprises: the system also comprises a human-computer interaction module connected with the industrial personal computer, wherein the human-computer interaction module is used for displaying all collected information and all calculated information of the industrial personal computer in real time and receiving input information of an operator.
The invention has the beneficial effects that:
(1) compared with the existing adjusting method, the method does not need to manually sample and detect the bulk density of the mixture, and reduces the labor cost.
(2) Compared with the existing adjusting method, the device is arranged at the outlet of the two-mixer, and the detection and adjustment timeliness is high.
(3) Compared with the existing adjusting method, the method can continuously detect and calculate the bulk density of the mixture in real time, and after the bulk density is stored by a developed system, historical data can be inquired for process analysis and optimization.
(4) Compared with the existing adjusting method, the method has the advantages that the adjustment is more accurate compared with manual experience, the air permeability of the mixture is better, the production energy consumption cost is reduced, the yield and the quality of the sinter are improved, and better economic benefit is generated.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise. Wherein:
FIG. 1 is a schematic view of an installation location of an intelligent conditioning system of the present invention;
FIG. 2 is a schematic view of the position of a lidar scanner and a belt scale of the present invention;
FIG. 3 is a belt surface curve generated from three-dimensional point cloud data obtained by scanning the surface of an empty belt with a lidar in accordance with the present invention;
FIG. 4 is a mixture charge level curve generated by the laser radar scanning the three-dimensional point cloud data of the mixture charge level passing through the belt scale according to the present invention;
FIG. 5 is a cross-sectional shape of the mixture formed by the combination of the belt surface curve and the mixture level curve of the present invention;
FIG. 6 is a system block diagram of the intelligent regulation system of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention more comprehensible, specific embodiments thereof are described in detail below with reference to examples of the specification.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
Example 1
The intelligent moisture regulating method for the sintering mixture provided by the embodiment comprises the following steps,
(1) sending an initial moisture control value F to a first-level PLC control system1The primary system is controlled according to the initial moisture control value F1Uniformly mixing and granulating to obtain a sintering mixture under an initial moisture control value, discharging the sintering mixture from an outlet of a secondary mixer, falling onto a belt, and conveying the belt;
(2) acquiring the belt transmission speed v in real time;
(3) acquiring the weight m of the conveyed mixture in real time through a belt scale;
(4) scanning the surface of an empty belt by a laser radar in advance, finding the average value of the same scanning point, returning three-dimensional point cloud data of each point on the surface of the belt, converting the three-dimensional point cloud data into a two-dimensional plane, and generating a belt surface curve as shown in fig. 3;
(5) scanning the charge level of the mixture passing through the belt weigher in real time by using a laser radar to obtain three-dimensional point cloud data of the charge level of the mixture, converting the three-dimensional point cloud data into a two-dimensional plane, and generating a charge level curve of the mixture, wherein the curve is shown in fig. 4;
(6) combining the three-dimensional point cloud data of the mixture charge level with the three-dimensional point cloud data of the belt surface to form a mixture section shape chart, as shown in FIG. 5;
(7) calculating the section area s of the mixture scanned each time according to the section shape graph of the mixture;
(8) according to the belt transmission speed v and the scanning frequency f of the laser radar scanner, calculating the distance L between two times of scanning as follows:
wherein T is the scanning period of the laser radar scanner;
(9) calculating the volume V of the mixture as follows:
V＝s×L；
in practical application, the scanning frequency of the laser radar equipment used by the laser radar equipment is 30Hz, and the conveying speed of the belt is about 1.5m/s, namely the distance between two times of scanning is about 50mm (the actual distance can be calculated according to the speed of the belt). It can be seen that the two scans are short, so the volume can be calculated by directly multiplying the cross-sectional area of the mix by the two scans, and the result is similar to the real volume between the two scans.
(10) Calculating bulk density P of the mixture1Comprises the following steps:
(11) adjusting the water content control value to F according to the periodic signal delta F1And the triangular wave-shaped periodic signal is a periodic signal which changes according to a sine rule, and the real-time bulk density of the mixed material is calculated to be P1+△P；
Calculating a mixture water evaluation index K:
K＝∑ΔF×ΔP；
when the moisture control value F1When the moisture content is less than the optimal moisture content value, the value of K is less than 0; when F is present1When the value is larger than the optimal moisture value, the value of K is larger than 0; when the moisture control value approaches the optimum moisture value, the value of K is approximately equal to 0; if K is 0, the real-time bulk density of the mixed material is the optimal bulk density; setting a deviation range e, if K is within the deviation range e, F1The value is the optimal moisture control value; if K is not within the deviation range e, correcting F according to the value of K1Repeating the above steps;
(12) obtaining the optimal moisture control value F1And then, the system can repeat the steps at certain time intervals, so that the corresponding optimal moisture control value can be obtained in time when the mixture components or other related factors change, and real-time intelligent adjustment is realized.
The method does not need manual sampling to detect the bulk density of the mixture, thereby reducing the labor cost; the method can be used for continuously detecting and calculating the bulk density of the mixture in real time, compared with the existing adjusting method, the method is more accurate in manual experience adjustment and better in air permeability of the mixture, reduces the energy consumption cost of an air draft system of the sintering machine, improves the yield and quality of the sinter, and generates better economic benefit.
Example 2
Take practical engineering as an example, startInitial moisture control value F1Set to 6.60%, the corresponding bulk density P is calculated by field test1The value was 2.137g/cm3Adjusting the moisture control value to F1The values of +. DELTA.F,. DELTA.F vary from cycle to cycle, as exemplified by data from one acquisition cycle in the field, as shown in Table 1 below:
TABLE 1
| △F(％) | 0 | 0.03 | 0.06 | 0.03 | 0 | -0.03 | -0.06 | -0.03 |
| F(％) | 6.6 | 6.63 | 6.66 | 6.63 | 6.6 | 6.57 | 6.54 | 6.57 |
| P(g/cm3) | 2.137 | 2.076 | 2.044 | 2.070 | 2.132 | 2.209 | 2.294 | 2.218 |
| △P(g/cm3) | 0 | -0.061 | -0.093 | -0.067 | -0.005 | 0.072 | 0.157 | 0.081 |
The value of K is-0.02343 calculated from the formula for the water content rating of the mix, and a value of K less than 0 indicates that F1 is less than the optimum water content value, and it can also be seen from the table that the bulk density decreases as water content increases. According to the formula:
F1＝F1-100×K×ω
in the formula, omega is the amplitude value of 0.03 of each change of delta F, and F is corrected again1The value is 6.67, the steps are repeated until the water content evaluation index K of the mixture is within the deviation range e set by the user, and F is obtained at the moment1The value is the optimum moisture control value. Obtaining the optimal moisture control value F1Then, the system can repeat the above steps at certain time intervals, so as to ensure that the corresponding optimal moisture control value can be obtained in time when the mixture components or other related factors change, and realize real-time intelligent regulation。
Example 3
As shown in fig. 1 to 6, this embodiment 3 discloses an intelligent moisture regulating system for a sintering mixture, which includes an acquisition module 200, a belt scale 300, a laser radar scanner 400, and a control module 500, which are respectively connected to an industrial personal computer 100; the acquisition module 200 is used for transmitting the real-time acquired moisture control value and the belt transmission speed to the industrial personal computer 100; the belt scale 300 is used for transmitting the weight of the mixture obtained in real time by the belt scale 300 to the industrial personal computer 100; the laser radar scanner 400 is used for transmitting scanning frequency and real-time acquired three-dimensional data of the charge level of the mixture on the belt to the industrial personal computer 100; the industrial personal computer 100 generates the shape of the charge level of the mixture according to the received belt transmission speed, the scanning frequency of the laser radar scanner 400 and the three-dimensional data of the charge level, and calculates the bulk density of the mixture; wherein, the industrial personal computer 100 adjusts the moisture control value according to the periodic signal through the control module 500, and calculates the real-time bulk density of the mixed material; the industrial personal computer 100 evaluates the real-time bulk density of the mixed material, and stops the water regulation if the real-time bulk density of the mixed material reaches the optimal bulk density; otherwise, correcting the initial moisture control value, taking the corrected moisture control value as the initial moisture control value, and repeating the steps; the control module 500 is configured to receive a signal sent by the industrial personal computer 100 for adjusting the moisture control value, and adjust the moisture control value according to the signal.
It should be noted that the industrial personal computer 100 includes a receiving module 101, a storage module 102, a computing module 103, a judging module 104 and a sending module 105; the receiving module 101 is respectively connected with the collecting module 200, the belt scale 300 and the laser radar scanner 400, and is used for receiving the real-time collected moisture control value, the real-time collected belt transmission speed, the scanning frequency of the laser radar scanner 400 and the real-time scanned three-dimensional data of the charge level of the mixture on the belt; the calculation module 103 is connected with the receiving module 101, and the calculation module 103 calculates the bulk density of the mixed material according to the belt transmission speed, the scanning frequency of the laser radar scanner 400 and the three-dimensional data of the charge level; the judging module 104 is connected with the calculating module 103 and is used for judging whether the calculated bulk density of the mixed material reaches the optimal bulk density, if so, sending a command for stopping moisture regulation, and if not, sending a command for correcting the initial moisture control value; the sending module 105 is connected to the judging module 104 and the control module 500, and is configured to transmit the command sent by the judging module 104 to the control module 500; the storage module 102 is connected to the receiving module 101, the calculating module 103, and the determining module 104, respectively, and is configured to store information of the receiving module 101, the calculating module 103, and the determining module 104.
It should be further noted that, as shown in fig. 1, the belt scale 300 is installed below the belt 800 at the outlet of the two-mixer 700, and the lidar scanner 400 is installed right above the belt scale 300, as shown in fig. 2, the lidar scanner 400 is used for scanning the three-dimensional data of the charge level of the mixture passing through the belt scale 300, and the system device of the present invention is installed at the outlet of the two-mixer 700, and has high detection and adjustment timeliness.
It should be further noted that the system further comprises a human-computer interaction module 600 connected with the industrial personal computer 100, wherein the human-computer interaction module 600 is respectively connected with the receiving module 101 and the sending module 105, and the human-computer interaction module 600 is used for displaying all the acquired information and all the calculated information of the industrial personal computer 100 in real time and receiving the input information of an operator; the invention can continuously detect and calculate the bulk density of the mixture in real time, and can inquire historical data for process analysis and optimization after the bulk density is stored by a developed system.
It is important to note that the construction and arrangement of the present application as shown in the various exemplary embodiments is illustrative only. Although only a few embodiments have been described in detail in this disclosure, those skilled in the art who review this disclosure will readily appreciate that many modifications are possible (e.g., variations in sizes, dimensions, structures, shapes and proportions of the various elements, values of parameters (e.g., temperatures, pressures, etc.), mounting arrangements, use of materials, colors, orientations, etc.) without materially departing from the novel teachings and advantages of the subject matter recited in this application. For example, elements shown as integrally formed may be constructed of multiple parts or elements, the position of elements may be reversed or otherwise varied, and the nature or number of discrete elements or positions may be altered or varied. Accordingly, all such modifications are intended to be included within the scope of this invention. The order or sequence of any process or method steps may be varied or re-sequenced according to alternative embodiments. In the claims, any means-plus-function clause is intended to cover the structures described herein as performing the recited function and not only structural equivalents but also equivalent structures. Other substitutions, modifications, changes and omissions may be made in the design, operating conditions and arrangement of the exemplary embodiments without departing from the scope of the present inventions. Therefore, the present invention is not limited to a particular embodiment, but extends to various modifications that nevertheless fall within the scope of the appended claims.
Moreover, in an effort to provide a concise description of the exemplary embodiments, all features of an actual implementation may not be described (i.e., those unrelated to the presently contemplated best mode of carrying out the invention, or those unrelated to enabling the invention).
It should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions may be made. Such a development effort might be complex and time consuming, but would nevertheless be a routine undertaking of design, fabrication, and manufacture for those of ordinary skill having the benefit of this disclosure, without undue experimentation.
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.
Claims (9)
1. An intelligent regulating method for the moisture of a sintering mixture is characterized in that: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
setting an initial moisture control value F1Obtaining a sintering mixture under an initial moisture control value;
acquiring a belt transmission speed v;
acquiring the weight m of the conveyed mixture;
acquiring three-dimensional data of the charge level of the mixture on the belt through a laser radar scanner;
generating the shape of the charge surface of the mixture according to the belt transmission speed v, the scanning frequency f of a laser radar scanner and the three-dimensional data of the charge surface, and calculating the bulk density P of the mixture1；
Adjusting the water control value according to the periodic signal, and calculating the real-time bulk density of the mixed material;
evaluating the real-time bulk density of the mixed material, and stopping water regulation if the real-time bulk density of the mixed material reaches the optimal bulk density; otherwise, correcting the initial moisture control value, taking the corrected moisture control value as the initial moisture control value, and repeating the steps.
2. The intelligent sinter mix moisture regulation method of claim 1, wherein: the evaluation method comprises the following steps:
adjusting the water content control value to F according to the periodic signal delta F1B, calculating the real-time bulk density of the mixture to be P1+△P；
Calculating a mixture water evaluation index K:
if K =0, the instantaneous bulk density of the mixture is the optimum bulk density.
3. The intelligent sinter mix moisture regulation method of claim 2, wherein: further comprising setting a deviation range e, if K is within the deviation range e, F1The value is the optimal moisture control value; if K is not within the deviation range e, correcting F according to the value of K1And repeating the above steps.
4. The intelligent sinter mix moisture regulation method of claim 2 or claim 3, wherein: the periodic signal deltaF is a periodic signal which changes according to a sine rule.
5. The intelligent sinter mix moisture regulation method of claim 1, wherein: calculating bulk density P of the mixture1The specific method comprises the following steps:
scanning the surface of an empty belt by a laser radar in advance, finding the average value of the same scanning point, and returning three-dimensional point cloud data of each point on the surface of the belt;
scanning the charge level of the mixture passing through the belt weigher in real time by using a laser radar to obtain three-dimensional point cloud data of the charge level of the mixture;
combining the three-dimensional point cloud data of the mixture charge level with the three-dimensional point cloud data of the belt surface, converting the data into a two-dimensional plane, generating a belt surface curve and a mixture charge level curve, and forming a mixture section shape chart;
calculating the section area s of the mixture scanned each time according to the section shape graph of the mixture;
according to the belt transmission speed v and the scanning frequency f of the laser radar scanner, calculating the distance L between two times of scanning as follows:
wherein T is the scanning period of the laser radar scanner;
calculating the volume V of the mixture as follows:
calculating bulk density P of the mixture1Comprises the following steps:
6. the utility model provides a sinter mixture moisture intelligent regulation system which characterized in that: the system comprises an acquisition module (200), a belt scale (300), a laser radar scanner (400) and a control module (500) which are respectively connected with an industrial personal computer (100);
the acquisition module (200) is used for transmitting the real-time acquired moisture control value and the belt transmission speed to the industrial personal computer (100);
the belt scale (300) is used for transmitting the weight of the mixture obtained in real time and passing through the belt scale (300) to the industrial personal computer (100);
the laser radar scanner (400) is used for transmitting scanning frequency and real-time acquired three-dimensional data of the charge level of the mixture on the belt to the industrial personal computer (100);
the industrial personal computer (100) generates the shape of the charge level of the mixture according to the received belt transmission speed, the scanning frequency of the laser radar scanner (400) and the three-dimensional data of the charge level, and calculates the bulk density of the mixture;
the industrial personal computer (100) adjusts a moisture control value according to the periodic signal through the control module (500), and calculates the real-time bulk density of the mixed material;
the industrial personal computer (100) evaluates the real-time bulk density of the mixed material, and stops water regulation if the real-time bulk density of the mixed material reaches the optimal bulk density; otherwise, correcting the initial moisture control value, taking the corrected moisture control value as the initial moisture control value, and repeating the steps;
the control module (500) is used for receiving a signal sent by the industrial personal computer (100) for adjusting the moisture control value and adjusting the moisture control value according to the signal.
7. The intelligent sinter mix moisture regulation system of claim 6, wherein: the industrial personal computer (100) comprises a receiving module (101), a storage module (102), a calculation module (103), a judgment module (104) and a sending module (105);
the receiving module (101) is respectively connected with the collecting module (200), the belt scale (300) and the laser radar scanner (400) and is used for receiving the real-time collected moisture control value, the real-time collected belt transmission speed, the scanning frequency of the laser radar scanner (400) and the real-time scanned three-dimensional data of the charge level of the mixture on the belt;
the calculation module (103) is connected with the receiving module (101), and the calculation module (103) calculates the bulk density of the mixed material according to the belt transmission speed, the scanning frequency of the laser radar scanner (400) and the three-dimensional data of the charge level;
the judging module (104) is connected with the calculating module (103) and is used for judging whether the calculated bulk density of the mixed material reaches the optimal bulk density, if so, a command of stopping water regulation is sent, and if not, a command of correcting the initial water control value is sent;
the sending module (105) is connected with the judging module (104) and the control module (500) and is used for transmitting the command sent by the judging module (104) to the control module (500);
the storage module (102) is connected to the receiving module (101), the calculating module (103), and the judging module (104), respectively, and is configured to store information of the receiving module (101), the calculating module (103), and the judging module (104).
8. The intelligent sinter mix moisture regulation system of claim 7, wherein: the system is characterized by further comprising a human-computer interaction module (600) connected with the industrial personal computer (100), wherein the human-computer interaction module (600) is respectively connected with the receiving module (101) and the sending module (105), and the human-computer interaction module (600) is used for displaying all collected information and all calculated information of the industrial personal computer (100) in real time and receiving input information of an operator.
9. The intelligent sinter mix moisture regulation system as claimed in any one of claims 6 to 8, wherein: the belt weigher (300) is installed below a belt (800) at the outlet of the two-mixer (700), the laser radar scanner (400) is installed right above the belt weigher (300), and the laser radar scanner (400) is used for scanning three-dimensional data of the charge level of a mixture passing through the belt weigher (300).
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Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005008482A (en) * | 2003-06-19 | 2005-01-13 | Toshiba Ceramics Co Ltd | Yttrium oxide sintered compact and its producing method |
| CN101364087A (en) * | 2008-09-18 | 2009-02-11 | 中冶长天国际工程有限责任公司 | Sintering, mixing and water adding control method and system |
| CN101441443A (en) * | 2008-09-18 | 2009-05-27 | 中冶长天国际工程有限责任公司 | Data processing method and device of sintering control parameter |
| CN201867603U (en) * | 2010-07-09 | 2011-06-15 | 中冶北方工程技术有限公司 | RSLogi*5000 based PID (proportional-integral-derivative) control device for moisture of sintering mixture |
| CN105468799A (en) * | 2014-09-03 | 2016-04-06 | 宝山钢铁股份有限公司 | Simulation method used for predicting heat condition parameter of high-temperature waste gas circulation sintering process |
| CN108254281A (en) * | 2016-12-29 | 2018-07-06 | 湖南长天自控工程有限公司 | A kind of online test method and device of belt feeder material moisture rate |
| CN109297873A (en) * | 2017-10-30 | 2019-02-01 | 中冶长天国际工程有限责任公司 | A kind of sintering fuel granularity on-line intelligence detection device and its detection method |
| CN110146402A (en) * | 2018-02-12 | 2019-08-20 | 中冶长天国际工程有限责任公司 | The intelligent checking system and its control method of sintering fuel moisture and granularmetric composition |
| CN110143416A (en) * | 2018-02-12 | 2019-08-20 | 中冶长天国际工程有限责任公司 | Belt feeder transported material intelligence sampler, intelligent sampling control method and system |
| CN110220571A (en) * | 2019-06-27 | 2019-09-10 | 广西柳钢东信科技有限公司 | One kind being based on CO2The blast furnace charge level 3 D detection method of laser and thermal imaging system |
| CN210036886U (en) * | 2019-06-27 | 2020-02-07 | 广西柳钢东信科技有限公司 | Based on CO2Three-dimensional detection device for blast furnace burden surface of laser and thermal imager |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE10213016B4 (en) * | 2002-03-22 | 2006-08-17 | Helsa-Automotive Gmbh & Co. Kg | Mechanically stable, porous activated carbon moldings, process for its preparation and its use |
| TWI245323B (en) * | 2005-04-15 | 2005-12-11 | Inpaq Technology Co Ltd | Glaze cladding structure of chip device and its formation method |
| JP2016074956A (en) * | 2014-10-08 | 2016-05-12 | セイコーエプソン株式会社 | Three-dimensional formation apparatus and three-dimensional formation method |
| CN105198471B (en) * | 2015-11-02 | 2017-07-18 | 湖北三江航天江北机械工程有限公司 | The preparation method of the stealthy wave-penetrating composite material of graphene modified ceramic base |
| CN109517376B (en) * | 2018-11-09 | 2021-08-03 | 湖南华曙高科技有限责任公司 | Preparation method of nylon powder material for selective laser sintering |
-
2020
- 2020-08-17 CN CN202010825158.8A patent/CN112130454B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005008482A (en) * | 2003-06-19 | 2005-01-13 | Toshiba Ceramics Co Ltd | Yttrium oxide sintered compact and its producing method |
| CN101364087A (en) * | 2008-09-18 | 2009-02-11 | 中冶长天国际工程有限责任公司 | Sintering, mixing and water adding control method and system |
| CN101441443A (en) * | 2008-09-18 | 2009-05-27 | 中冶长天国际工程有限责任公司 | Data processing method and device of sintering control parameter |
| CN201867603U (en) * | 2010-07-09 | 2011-06-15 | 中冶北方工程技术有限公司 | RSLogi*5000 based PID (proportional-integral-derivative) control device for moisture of sintering mixture |
| CN105468799A (en) * | 2014-09-03 | 2016-04-06 | 宝山钢铁股份有限公司 | Simulation method used for predicting heat condition parameter of high-temperature waste gas circulation sintering process |
| CN108254281A (en) * | 2016-12-29 | 2018-07-06 | 湖南长天自控工程有限公司 | A kind of online test method and device of belt feeder material moisture rate |
| CN109297873A (en) * | 2017-10-30 | 2019-02-01 | 中冶长天国际工程有限责任公司 | A kind of sintering fuel granularity on-line intelligence detection device and its detection method |
| CN110146402A (en) * | 2018-02-12 | 2019-08-20 | 中冶长天国际工程有限责任公司 | The intelligent checking system and its control method of sintering fuel moisture and granularmetric composition |
| CN110143416A (en) * | 2018-02-12 | 2019-08-20 | 中冶长天国际工程有限责任公司 | Belt feeder transported material intelligence sampler, intelligent sampling control method and system |
| CN110220571A (en) * | 2019-06-27 | 2019-09-10 | 广西柳钢东信科技有限公司 | One kind being based on CO2The blast furnace charge level 3 D detection method of laser and thermal imaging system |
| CN210036886U (en) * | 2019-06-27 | 2020-02-07 | 广西柳钢东信科技有限公司 | Based on CO2Three-dimensional detection device for blast furnace burden surface of laser and thermal imager |
Non-Patent Citations (4)
| Title |
|---|
| 《Indirect measurement of molten steel level in tundish based on laser triangulation》;Zhiqi Su 等;《REVIEW OF SCIENTIFIC INSTRUMENTS》;20161231;第1-8页 * |
| 《The investigation on soft sensor technique of sinter mixture moisture》;Xiaoxin Zhang 等;《IEEE》;20111231;第845-847页 * |
| 《基于单目多视图三维重建方法的料堆体积测算》;张博文 等;《烧结球团》;20200630;第44-48页 * |
| 《烧结混合料水分自动控制系统的开发及应用》;谭奇兵 等;《烧结球团》;20190430;第18-23页 * |
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