CN111437679A - Coal dust atmospheric particulate prevention and control dust fall and control dust control method and system - Google Patents
Coal dust atmospheric particulate prevention and control dust fall and control dust control method and system Download PDFInfo
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- CN111437679A CN111437679A CN202010265401.5A CN202010265401A CN111437679A CN 111437679 A CN111437679 A CN 111437679A CN 202010265401 A CN202010265401 A CN 202010265401A CN 111437679 A CN111437679 A CN 111437679A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D47/00—Separating dispersed particles from gases, air or vapours by liquid as separating agent
- B01D47/06—Spray cleaning
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/02—Investigating particle size or size distribution
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/06—Investigating concentration of particle suspensions
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0423—Input/output
Abstract
The invention discloses a coal dust atmospheric particulate prevention, control, dust fall and control method and a system, which comprises the following steps: acquiring a dust distribution signal to obtain initial dust distribution information; establishing a dust fall processing mode according to the initial dust distribution information, and acquiring dust fall processing information; performing dust fall through the dust fall processing information to obtain processed dust distribution information, obtaining deviation information by comparing the initial dust distribution information with the processed dust distribution information, and calculating the deviation rate of the dust distribution information; when the deviation rate of the dust distribution information is larger than a preset threshold value, acquiring correction processing information, and correcting the dust distribution information through the correction processing information to obtain corrected dust distribution information; and comparing the corrected dust distribution information with the processed dust distribution information to obtain corrected deviation information and obtain a corrected deviation rate.
Description
Technical Field
The invention relates to the field of air environment protection for atmospheric particulate prevention and control, in particular to a coal dust atmospheric particulate prevention, control, dust fall and control method and system.
Background
The dustfall reflects the natural settling amount of particulate matter, and is expressed by the weight of particulate matter settled per month on a unit area (unit: t/km 2. month), and the settling rate in air is fast, so that the particulate matter is not easy to be inhaled into the respiratory tract, and the natural settling capacity mainly depends on the self weight and the particle size. Is one of the main indexes reflecting the pollution of air dust particles, and the dust fall easily causes the desertification of the land.
In order to carry out accurate analysis to coal dust granule ladder distribution, need develop a section and control rather than assorted system, detect dust ladder distribution through this system, acquire dust distribution information, then revise the processing, make dust concentration be in reasonable predetermined range all the time, but in carrying out the control process, when how realizing accurate control, the realization is all urgent to the accurate detection and the correction of dust distribution information and can not wait to solve the problem.
Disclosure of Invention
The invention overcomes the defects of the prior art and provides a coal dust atmospheric particulate prevention and control dust fall and control method and system.
In order to achieve the purpose, the invention adopts the technical scheme that: a coal dust atmospheric particulate prevention and control dust fall and control method comprises the following steps:
acquiring a dust distribution signal through a sensor, and establishing a dust distribution model to obtain initial dust distribution information;
establishing a dust fall processing mode according to the initial dust distribution information to obtain dust fall processing information;
controlling a spray head to spray dust through dust fall processing information to perform dust fall, acquiring processed dust distribution information again through a sensor, obtaining deviation information by comparing initial dust distribution information with the processed dust distribution information, and calculating a dust distribution information deviation rate;
when the deviation rate of the dust distribution information is larger than a preset threshold value, acquiring correction processing information;
correcting the dust distribution information through the correction processing information to obtain corrected dust distribution information;
comparing the corrected dust distribution information with the processed dust distribution information to obtain corrected deviation information and obtain a corrected deviation rate;
when the correction deviation rate is larger than a preset threshold value, performing secondary correction on the dust until the correction deviation rate is smaller than the preset threshold value;
the sensor sets up on the ore deposit way inner wall, and the sensor sets up along ore deposit way top interval, and ore deposit way inner wall top is provided with at least one guide rail, is provided with at least one shower nozzle on the guide rail, the shower nozzle can be followed the guide rail and removed, shower nozzle spraying rate and spray the atomizing rate can be according to the dust distribution information that the sensor detected is adjusted.
In a preferred embodiment of the invention, a dust distribution signal is obtained, a dust distribution model is established, and initial dust distribution information is obtained;
the method specifically comprises the following steps: acquiring dust density and gradient information, acquiring dust humidity and temperature information at the same time, and establishing an information table;
under the condition of the same humidity information, establishing a dust density curve and a gradient information curve;
under the condition of the same temperature information, establishing a dust concentration curve and a gradient information curve;
synthesizing the dust concentration curve through a mathematical model to establish a total dust concentration curve;
synthesizing the dust gradient information curve through a mathematical model to establish a total dust gradient curve;
and obtaining initial dust distribution information through the total dust concentration curve and the total dust gradient curve.
In a preferred embodiment of the invention, a dust distribution signal is obtained, a dust distribution model is established to obtain initial dust distribution information, and the dust distribution information is stored in a database; the method specifically comprises the following steps:
acquiring the step distribution of dust particles, and establishing step distribution information of the dust particles to obtain a step distribution curve of the dust particles;
cutting and analyzing the dust particle step distribution curve, and removing offset points;
then carrying out polymerization simulation to obtain a new dust particle step distribution curve;
establishing dust particle distribution node information through a step distribution curve;
inputting the node information into a database;
when the dust particle distribution is detected next time, comparing the detection data with the original data in the database;
and when the deviation of the detected data and the original data is large, the detected data replaces the original data, and meanwhile, the database is refreshed.
In a preferred embodiment of the present invention, the dust distribution information includes one or a combination of two or more of dust concentration, dust suspension particle size, dust dispersion degree, dust particle step distribution, dust concentration step distribution, and dust turbulence degree.
The second aspect of the present invention provides a coal dust stepped distribution analysis dust fall control system, which includes: the dust fall control system comprises a memory and a processor, wherein the memory comprises a dust fall control method program, and the dust fall control method program realizes the following steps when being executed by the processor:
acquiring a dust distribution signal through a sensor, and establishing a dust distribution model to obtain initial dust distribution information;
establishing a dust fall processing mode according to the initial dust distribution information to obtain dust fall processing information;
controlling a spray head to spray dust through dust fall processing information to perform dust fall, acquiring processed dust distribution information again through a sensor, obtaining deviation information by comparing initial dust distribution information with the processed dust distribution information, and calculating a dust distribution information deviation rate;
when the deviation rate of the dust distribution information is larger than a preset threshold value, acquiring correction processing information;
correcting the dust distribution information through the correction processing information to obtain corrected dust distribution information;
comparing the corrected dust distribution information with the processed dust distribution information to obtain corrected deviation information and obtain a corrected deviation rate;
when the correction deviation rate is larger than a preset threshold value, performing secondary correction on the dust until the correction deviation rate is smaller than the preset threshold value;
the sensor sets up on the ore deposit way inner wall, and the sensor sets up along ore deposit way top interval, and ore deposit way inner wall top is provided with a guide rail, is provided with two shower nozzles, two on the guide rail the shower nozzle can be followed the guide rail and removed, the shower nozzle sprays speed and sprays the atomizing rate and can be according to the dust distribution information that the sensor detected is adjusted.
In a preferred embodiment of the invention, a dust distribution signal is obtained, a dust distribution model is established, and initial dust distribution information is obtained;
the method specifically comprises the following steps: acquiring dust density and gradient information, acquiring dust humidity and temperature information at the same time, and establishing an information table;
under the condition of the same humidity information, establishing a dust density curve and a gradient information curve;
under the condition of the same temperature information, establishing a dust concentration curve and a gradient information curve;
synthesizing the dust concentration curve through a mathematical model to establish a total dust concentration curve;
synthesizing the dust gradient information curve through a mathematical model to establish a total dust gradient curve;
and obtaining initial dust distribution information through the total dust concentration curve and the total dust gradient curve.
In a preferred embodiment of the invention, the spray head is rotatable.
In a preferred embodiment of the present invention, the nozzle head has a plurality of nozzles distributed in an array.
In a preferred embodiment of the present invention, when the plurality of nozzles are arranged, the plurality of nozzles are spaced along the length direction of the guide rail, and the plurality of nozzles can be linked to spray in a matching manner.
The invention solves the defects in the background technology, and has the following beneficial effects:
1. detecting the step distribution of dust particles in the mine tunnel through a sensor, performing dust falling and controlling operation, and obtaining initial dust distribution information through a dust distribution model; the dust fall processing mode is established and the dust fall processing information is processed to carry out dust fall, the dust fall processing mode is adjusted in real time while the dust distribution information is monitored, the synchronism is achieved, and the dust fall dust control effect is good.
2. Through comparing initial dust distribution information and the dust distribution information after handling, obtain deviation information, according to deviation information, confirm the dust granule ladder distribution information after the dust fall, make the dust concentration after the dust fall accuse dirt be in reasonable scope, when dust distribution deviation information after the dust fall accuse dirt surpassed the predetermined threshold value, carry out the correction of dust fall processing mode, until reducing dust distribution deviation information to reasonable interval, this kind of mode, can adjust dust fall processing mode in real time when the dust fall is controlled dirt, the hysteresis quality can not exist in the system.
3. Through under humidity or the single variable of temperature, acquire dust intensity information and dust gradient information, can judge the influence of air temperature and humidity to the dust fall to this formulates different dust fall modes under to different air temperature or humidity condition, through initial dust distribution information, acquires dust fall processing information, and this kind of analysis mode, analysis speed is very fast, and the reality is pressed close to more to the dust distribution information after the polymerization simulation, makes dust fall processing effect better.
4. Carry out dust disposal through dust fall processing information, acquire the dust distribution information after handling, through comparing initial dust distribution information and the dust distribution information after handling, when carrying out the dust fall and handling the back, when dust distribution information is still greater than predetermined density, handle the information through revising the dust fall, carry out the secondary dust fall to the dust, until will dust density with safety range or predetermined range within, the dust fall effect is better.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings of the embodiments can be obtained according to the drawings without creative efforts.
FIG. 1 is a block diagram of a coal dust atmospheric particulate control method of the present invention.
Fig. 2 is a flow chart of the initial dust distribution information method of the present invention.
FIG. 3 is a flow chart of a database update method of the present invention.
Fig. 4 is a flow chart of a dustfall processing information method according to the present invention.
Fig. 5 is a block diagram of a coal dust stepped distribution analysis dust fall control system according to the present invention.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
As shown in FIG. 1, the invention discloses a block diagram of a coal dust atmospheric particulate control method for preventing and controlling dust fall.
It should be noted that the coal dust atmospheric particulate prevention, control, dust fall and control method comprises the following steps:
s102, acquiring a dust distribution signal through a sensor, and establishing a dust distribution model to obtain initial dust distribution information;
s104, establishing a dust settling processing mode according to the initial dust distribution information to obtain dust settling processing information;
s106, controlling the spray head to spray dust through the dust fall processing information to perform dust fall, acquiring the processed dust distribution information again through the sensor, obtaining deviation information by comparing the initial dust distribution information with the processed dust distribution information, and calculating the deviation rate of the dust distribution information;
s108, when the deviation rate of the dust distribution information is larger than a preset threshold value, acquiring correction processing information;
s110, correcting the dust distribution information through the correction processing information to obtain corrected dust distribution information;
s112, comparing the corrected dust distribution information with the processed dust distribution information to obtain corrected deviation information and obtain a corrected deviation rate;
s114, when the correction deviation rate is larger than a preset threshold value, performing secondary correction on the dust until the correction deviation rate is smaller than the preset threshold value;
the sensor sets up on the ore deposit way inner wall, and the sensor sets up along ore deposit way top interval, and ore deposit way inner wall top is provided with at least one guide rail, is provided with at least one shower nozzle on the guide rail, the shower nozzle can be followed the guide rail and removed, shower nozzle spraying rate and spray the atomizing rate can be according to the dust distribution information that the sensor detected is adjusted.
Specifically, the step distribution of dust particles in a mine tunnel is detected through a sensor, dust falling and controlling operations are carried out, and a dust distribution model and initial dust distribution information are used; establish dust fall processing mode and dust fall processing information and carry out the dust fall, when monitoring dust distribution information, real-time adjustment dust fall processing mode has the synchronism, and the dust fall accuse dirt effect is better, carries out regional dust fall that sprays according to the different shower nozzles of dust distribution density control, and control is more accurate, at the in-process that carries out regional accurate dust fall, can not cause the interior humidity of ore deposit way to increase, bears to miner's health and plays certain benefit.
As shown in fig. 2, the present invention discloses a flow chart of the initial dust distribution information method.
According to the embodiment of the invention, a dust distribution signal is obtained, a dust distribution model is established, and initial dust distribution information is obtained;
the method specifically comprises the following steps:
s202, acquiring dust density and gradient information, acquiring dust humidity and temperature information, and establishing an information table;
s204, under the condition of the same humidity information, establishing a dust density curve and a gradient information curve;
s206, under the same temperature information condition, establishing a dust density curve and a gradient information curve;
s208, synthesizing the dust concentration curve through a mathematical model to establish a total dust concentration curve;
s210, synthesizing the dust gradient information curve through a mathematical model to establish a total dust gradient curve;
s212, obtaining initial dust distribution information through the total dust concentration curve and the total dust gradient curve.
What need explain is, through under humidity or temperature single variable, acquire dust intensity information and dust gradient information, can judge the influence of air temperature and humidity to the dust fall to this formulates different dust fall modes under to different air temperature or humidity condition, through initial dust distribution information, acquires dust fall processing information, this kind of analytic mode, the analytic speed is very fast, the dust distribution information after the polymerization simulation is pressed close to reality more, makes dust fall processing effect better.
As shown in FIG. 3, the present invention discloses a flow chart of a database updating method.
According to the embodiment of the invention, a dust distribution signal is obtained, a dust distribution model is established to obtain initial dust distribution information, and the dust distribution information is stored in a database; the method specifically comprises the following steps:
s302, obtaining the dust particle step distribution, and establishing the dust particle step distribution information to obtain a dust particle step distribution curve;
s304, cutting and analyzing the dust particle step distribution curve, and removing offset points;
s306, performing polymerization simulation to obtain a new dust particle step distribution curve;
s308, establishing dust particle distribution node information through a step distribution curve, and inputting the node information into a database;
s310, comparing the detection data with the original data in the database when the dust particle distribution is detected next time;
and S312, when the deviation between the detection data and the original data is large, replacing the original data with the detection data, and refreshing the database.
It should be noted that the database can be refreshed by detecting data, so that the data in the database has higher referential property, the referential value of the data with longer storage time in the database is lower, and after new detection data is obtained, synchronous updating replacement of the synchronous database is performed.
As shown in fig. 4, the invention discloses a flow chart of a dust fall processing information method.
According to the embodiment of the invention, a dust-settling processing mode is established according to the initial dust distribution information to obtain dust-settling processing information; further comprising:
s402, dividing a preset area into N different sub-areas;
s404, calculating the dust concentration and the step distribution characteristics of each subarea to obtain a characteristic value;
s406, comparing the characteristic value difference rate of each different sub-region;
s408, classifying the sub-regions smaller than the threshold of the feature value difference rate into regions of the same category;
s410, acquiring dust concentration and step distribution information of areas of the same type;
s412, calculating correction parameters according to the dust concentration and the step distribution information;
and S414, obtaining the dust fall processing information according to the correction parameters and the dust step distribution information.
It should be noted that the dust fall processing information is stored in different sub-regions respectively, each sub-region is independently operated, the operation speed is high, the results of independent operation of each sub-region are integrated to obtain an overall operation structure, the dust concentration distribution information is corrected, and the error is small.
According to the embodiment of the invention, the dust distribution information comprises one or more of dust concentration, dust suspension particle size, dust dispersity, dust particle step distribution, dust concentration step distribution and dust turbulence degree.
It should be noted that, according to the monitored dust parameters, effective dust-settling operation is performed, and for an area with higher dust concentration, spraying and dust-settling are performed through the spray heads in the corresponding area, the dust turbulence degree is an important index for monitoring dust explosion, and dust turbulence can be caused to a certain extent in the spraying process, so that the spraying flow and the spraying pressure of the spray heads can be adjusted through the dust turbulence index, and the dust turbulence degree is controlled in a safety range.
Through comparing initial dust distribution information and the dust distribution information after handling, obtain deviation information, according to deviation information, confirm the dust granule ladder distribution information after the dust fall, make the dust concentration after the dust fall accuse dirt be in reasonable scope, when dust distribution deviation information after the dust fall accuse dirt surpassed the predetermined threshold value, carry out the correction of dust fall processing mode, until reducing dust distribution deviation information to reasonable interval, this kind of mode, can adjust dust fall processing mode in real time when the dust fall is controlled dirt, the hysteresis quality can not exist in the system.
As shown in fig. 5, the invention discloses a block diagram of a coal dust stepped distribution analysis dust fall control system.
The second aspect of the present invention provides a coal dust stepped distribution analysis dust fall control system, where the system 5 includes: a memory 51 and a processor 52, wherein the memory 51 includes a dustfall control method program, and the dustfall control method program implements the following steps when executed by the processor:
acquiring a dust distribution signal through a sensor, and establishing a dust distribution model to obtain initial dust distribution information;
establishing a dust fall processing mode according to the initial dust distribution information to obtain dust fall processing information;
controlling a spray head to spray dust through dust fall processing information to perform dust fall, acquiring processed dust distribution information again through a sensor, obtaining deviation information by comparing initial dust distribution information with the processed dust distribution information, and calculating a dust distribution information deviation rate;
when the deviation rate of the dust distribution information is larger than a preset threshold value, acquiring correction processing information;
correcting the dust distribution information through the correction processing information to obtain corrected dust distribution information;
comparing the corrected dust distribution information with the processed dust distribution information to obtain corrected deviation information and obtain a corrected deviation rate;
when the correction deviation rate is larger than a preset threshold value, performing secondary correction on the dust until the correction deviation rate is smaller than the preset threshold value;
the sensor sets up on the ore deposit way inner wall, and the sensor sets up along ore deposit way top interval, and ore deposit way inner wall top is provided with a guide rail, is provided with two shower nozzles, two on the guide rail the shower nozzle can be followed the guide rail and removed, the shower nozzle sprays speed and sprays the atomizing rate and can be according to the dust distribution information that the sensor detected is adjusted.
It should be noted that, when the shower nozzle is a plurality of, a plurality of shower nozzles are followed guide rail length direction interval distribution, and a plurality of shower nozzles can linkage cooperation spray, and the shower nozzle can 360 degrees rotations, and the angle of conveniently adjusting the shower nozzle through the rotatory flexibility of shower nozzle is provided with a plurality of orifice on the shower nozzle, a plurality of the orifice array distributes, and the shape of orifice array can be circular, square or other shapes, when two shower nozzles of needs spray, adjusts the volume of spraying and the speed of spraying of two shower nozzles, makes two shower nozzles realize the cooperation and spray, and the volume of spraying and the speed of spraying of two shower nozzles can be the same or different.
According to the embodiment of the invention, a dust distribution signal is obtained, a dust distribution model is established, and initial dust distribution information is obtained;
the method specifically comprises the following steps: acquiring dust density and gradient information, acquiring dust humidity and temperature information at the same time, and establishing an information table;
under the condition of the same humidity information, establishing a dust density curve and a gradient information curve;
under the condition of the same temperature information, establishing a dust concentration curve and a gradient information curve;
synthesizing the dust concentration curve through a mathematical model to establish a total dust concentration curve;
synthesizing the dust gradient information curve through a mathematical model to establish a total dust gradient curve;
and obtaining initial dust distribution information through the total dust concentration curve and the total dust gradient curve.
What need explain is, through under humidity or temperature single variable, acquire dust intensity information and dust gradient information, can judge the influence of air temperature and humidity to the dust fall to this formulates different dust fall modes under to different air temperature or humidity condition, through initial dust distribution information, acquires dust fall processing information, this kind of analytic mode, the analytic speed is very fast, the dust distribution information after the polymerization simulation is pressed close to reality more, makes dust fall processing effect better.
It should be noted that, by comparing the initial dust distribution information with the processed dust distribution information, deviation information is obtained, and according to the deviation information, the step distribution information of dust particles after dust fall is determined, so that the dust concentration after dust fall and dust control is in a reasonable range, when the deviation information of dust distribution after dust fall and dust control exceeds a preset threshold value, the correction of the dust fall processing mode is performed until the deviation information of dust distribution is reduced to a reasonable interval, and in such a way, the dust fall processing mode can be adjusted in real time while dust fall and dust control is performed, and hysteresis cannot exist in the system.
According to the embodiment of the invention, a dust-settling processing mode is established according to the initial dust distribution information to obtain dust-settling processing information; further comprising:
dividing a preset area into N different sub-areas;
calculating the dust concentration and the step distribution characteristics of each subarea to obtain a characteristic value;
comparing the eigenvalue difference rate for each different sub-region;
classifying the sub-regions smaller than the threshold value of the feature value difference rate into regions of the same category;
acquiring dust concentration and step distribution information of areas of the same type;
calculating correction parameters according to the dust concentration and the step distribution information;
and obtaining dust fall processing information according to the correction parameters and the dust step distribution information.
It should be noted that the dust fall processing information is stored in different sub-regions respectively, each sub-region is independently operated, the operation speed is high, the results of independent operation of each sub-region are integrated to obtain an overall operation structure, the dust concentration distribution information is corrected, and the error is small.
According to the embodiment of the invention, a dust distribution signal is obtained, a dust distribution model is established, and initial dust distribution information is obtained;
the method specifically comprises the following steps: acquiring dust density and gradient information, acquiring dust humidity and temperature information at the same time, and establishing an information table;
under the condition of the same humidity information, establishing a dust density curve and a gradient information curve;
under the condition of the same temperature information, establishing a dust concentration curve and a gradient information curve;
synthesizing the dust concentration curve through a mathematical model to establish a total dust concentration curve;
synthesizing the dust gradient information curve through a mathematical model to establish a total dust gradient curve;
and obtaining initial dust distribution information through the total dust concentration curve and the total dust gradient curve.
Detecting the step distribution of dust particles in the mine tunnel through a sensor, performing dust falling and controlling operation, and obtaining initial dust distribution information through a dust distribution model; the dust fall processing mode is established and the dust fall processing information is processed to carry out dust fall, the dust fall processing mode is adjusted in real time while the dust distribution information is monitored, the synchronism is achieved, and the dust fall dust control effect is good.
Through comparing initial dust distribution information and the dust distribution information after handling, obtain deviation information, according to deviation information, confirm the dust granule ladder distribution information after the dust fall, make the dust concentration after the dust fall accuse dirt be in reasonable scope, when dust distribution deviation information after the dust fall accuse dirt surpassed the predetermined threshold value, carry out the correction of dust fall processing mode, until reducing dust distribution deviation information to reasonable interval, this kind of mode, can adjust dust fall processing mode in real time when the dust fall is controlled dirt, the hysteresis quality can not exist in the system.
Through under humidity or the single variable of temperature, acquire dust intensity information and dust gradient information, can judge the influence of air temperature and humidity to the dust fall to this formulates different dust fall modes under to different air temperature or humidity condition, through initial dust distribution information, acquires dust fall processing information, and this kind of analysis mode, analysis speed is very fast, and the reality is pressed close to more to the dust distribution information after the polymerization simulation, makes dust fall processing effect better.
Carry out dust disposal through dust fall processing information, acquire the dust distribution information after handling, through comparing initial dust distribution information and the dust distribution information after handling, when carrying out the dust fall and handling the back, when dust distribution information is still greater than predetermined density, handle the information through revising the dust fall, carry out the secondary dust fall to the dust, until will dust density with safety range or predetermined range within, the dust fall effect is better.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (10)
1. A coal dust atmospheric particulate prevention and control dust fall and control method is characterized by comprising the following steps:
acquiring a dust distribution signal through a sensor, and establishing a dust distribution model to obtain initial dust distribution information;
establishing a dust fall processing mode according to the initial dust distribution information to obtain dust fall processing information;
controlling a spray head to spray for dust fall through the dust fall processing information, and acquiring the processed dust distribution information again through a sensor;
obtaining deviation information by comparing the initial dust distribution information with the processed dust distribution information, and calculating the deviation rate of the dust distribution information;
when the deviation rate of the dust distribution information is larger than a preset threshold value, acquiring correction processing information;
correcting the dust distribution information through the correction processing information to obtain corrected dust distribution information;
comparing the corrected dust distribution information with the processed dust distribution information to obtain corrected deviation information and obtain a corrected deviation rate;
when the correction deviation rate is larger than a preset threshold value, performing secondary correction on the dust until the correction deviation rate is smaller than the preset threshold value;
the sensor sets up on the ore deposit way inner wall, and the sensor sets up along ore deposit way top interval, and ore deposit way inner wall top is provided with at least one guide rail, is provided with at least one shower nozzle on the guide rail, the shower nozzle can be followed the guide rail and removed, shower nozzle spraying rate and spray the atomizing rate can be according to the dust distribution information that the sensor detected is adjusted.
2. The coal dust atmospheric particulate prevention, control, dust fall and control method according to claim 1, characterized by obtaining a dust distribution signal, establishing a dust distribution model, and obtaining initial dust distribution information;
the method specifically comprises the following steps: acquiring dust density and gradient information, acquiring dust humidity and temperature information at the same time, and establishing an information table;
under the condition of the same humidity information, establishing a dust density curve and a gradient information curve;
under the condition of the same temperature information, establishing a dust concentration curve and a gradient information curve;
synthesizing the dust concentration curve through a mathematical model to establish a total dust concentration curve;
synthesizing the dust gradient information curve through a mathematical model to establish a total dust gradient curve;
and obtaining initial dust distribution information through the total dust concentration curve and the total dust gradient curve.
3. The coal dust atmospheric particulate prevention, control, dust fall and control method according to claim 1, characterized by obtaining dust distribution signals, establishing a dust distribution model to obtain initial dust distribution information, and storing the dust distribution information to a database; the method specifically comprises the following steps:
acquiring the step distribution of dust particles, and establishing step distribution information of the dust particles to obtain a step distribution curve of the dust particles;
cutting and analyzing the dust particle step distribution curve, and removing offset points;
then carrying out polymerization simulation to obtain a new dust particle step distribution curve;
establishing dust particle distribution node information through a step distribution curve;
inputting the node information into a database;
when the dust particle distribution is detected next time, comparing the detection data with the original data in the database;
and when the deviation of the detected data and the original data is large, the detected data replaces the original data, and meanwhile, the database is refreshed.
4. The coal dust atmospheric particulate prevention, control, dust fall and control method according to claim 1, characterized in that a dust fall processing mode is established according to initial dust distribution information to obtain dust fall processing information; further comprising:
dividing a preset area into N different sub-areas;
calculating the dust concentration and the step distribution characteristics of each subarea to obtain a characteristic value;
comparing the eigenvalue difference rate for each different sub-region;
classifying the sub-regions smaller than the threshold value of the feature value difference rate into regions of the same category;
acquiring dust concentration and step distribution information of areas of the same type;
calculating correction parameters according to the dust concentration and the step distribution information;
and obtaining dust fall processing information according to the correction parameters and the dust step distribution information.
5. The coal dust atmospheric particulate prevention, control, dust fall and control method according to claim 1, wherein the dust distribution information includes one or a combination of more than two of dust concentration, dust suspended particle size, dust dispersity, dust particle step distribution, dust concentration step distribution and dust turbulence degree.
6. The utility model provides a coal dust ladder distribution analysis dust fall control system which characterized in that, this system includes: the dust fall control system comprises a memory and a processor, wherein the memory comprises a dust fall control method program, and the dust fall control method program realizes the following steps when being executed by the processor:
acquiring a dust distribution signal through a sensor, and establishing a dust distribution model to obtain initial dust distribution information;
establishing a dust fall processing mode according to the initial dust distribution information to obtain dust fall processing information;
controlling a spray head to spray dust through dust fall processing information to perform dust fall, acquiring processed dust distribution information again through a sensor, obtaining deviation information by comparing initial dust distribution information with the processed dust distribution information, and calculating a dust distribution information deviation rate;
when the deviation rate of the dust distribution information is larger than a preset threshold value, acquiring correction processing information;
correcting the dust distribution information through the correction processing information to obtain corrected dust distribution information;
comparing the corrected dust distribution information with the processed dust distribution information to obtain corrected deviation information and obtain a corrected deviation rate;
when the correction deviation rate is larger than a preset threshold value, performing secondary correction on the dust until the correction deviation rate is smaller than the preset threshold value;
the sensor sets up on the ore deposit way inner wall, and the sensor sets up along ore deposit way top interval, and ore deposit way inner wall top is provided with a guide rail, is provided with two shower nozzles, two on the guide rail the shower nozzle can be followed the guide rail and removed, the shower nozzle sprays speed and sprays the atomizing rate and can be according to the dust distribution information that the sensor detected is adjusted.
7. The coal dust atmospheric particulates prevention, control, dust fall and control system of claim 6,
acquiring a dust distribution signal, and establishing a dust distribution model to obtain initial dust distribution information;
the method specifically comprises the following steps: acquiring dust density and gradient information, acquiring dust humidity and temperature information at the same time, and establishing an information table;
under the condition of the same humidity information, establishing a dust density curve and a gradient information curve;
under the condition of the same temperature information, establishing a dust concentration curve and a gradient information curve;
synthesizing the dust concentration curve through a mathematical model to establish a total dust concentration curve;
synthesizing the dust gradient information curve through a mathematical model to establish a total dust gradient curve;
and obtaining initial dust distribution information through the total dust concentration curve and the total dust gradient curve.
8. The coal dust and atmospheric particulates prevention, control, dust fall and control system of claim 6, wherein the spray head is rotatable.
9. The coal dust and atmospheric particulate prevention, control, dust fall and control system of claim 6, wherein the nozzle is provided with a plurality of nozzles, and the plurality of nozzles are distributed in an array.
10. The coal dust and atmospheric particulates prevention, control, dust fall and control system of claim 9, wherein when the plurality of spray heads are distributed at intervals along the length direction of the guide rail, the plurality of spray heads can be linked and matched to spray.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113769519A (en) * | 2021-11-15 | 2021-12-10 | 辽博信息科技(山东)有限公司 | Intelligent dust fall control method and system for construction site |
| CN114062212A (en) * | 2021-11-17 | 2022-02-18 | 北京中海兴达建设有限公司 | Building dust monitoring and adjusting system and method |
| CN114320433A (en) * | 2021-11-25 | 2022-04-12 | 煤炭科学技术研究院有限公司 | Coal mine dust removal method |
| CN114934805A (en) * | 2022-06-02 | 2022-08-23 | 中铁十五局集团有限公司 | Automatic dust falling method and system for tunnel section underground excavation construction |
| CN115779602A (en) * | 2022-11-15 | 2023-03-14 | 广东爆破工程有限公司 | Automatic spraying dust-settling method and system for surface mine road |
| CN117180899A (en) * | 2023-11-07 | 2023-12-08 | 米脂冀东水泥有限公司 | Cement production dust cleaning method and system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104268349A (en) * | 2014-09-30 | 2015-01-07 | 华南理工大学 | Method for accurately controlling trimming line of turned edge under complex curved surface |
| CN107153035A (en) * | 2016-03-03 | 2017-09-12 | 上海蓝丰信息科技有限公司 | Airborne dust monitors administering method and system on-line |
| CN107433086A (en) * | 2017-09-11 | 2017-12-05 | 济南东之林智能软件有限公司 | A kind of depositing dust control method, system and autonomous device for reducing dust |
| CN107551774A (en) * | 2017-10-18 | 2018-01-09 | 华润电力湖北有限公司 | A kind of denitration control method and system for thermal power plant |
| WO2020050444A1 (en) * | 2018-09-06 | 2020-03-12 | 한국생산기술연구원 | Method for two-dimensionally measuring and actively controlling fine dust precursor concentration and temperature |
-
2020
- 2020-04-07 CN CN202010265401.5A patent/CN111437679B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104268349A (en) * | 2014-09-30 | 2015-01-07 | 华南理工大学 | Method for accurately controlling trimming line of turned edge under complex curved surface |
| CN107153035A (en) * | 2016-03-03 | 2017-09-12 | 上海蓝丰信息科技有限公司 | Airborne dust monitors administering method and system on-line |
| CN107433086A (en) * | 2017-09-11 | 2017-12-05 | 济南东之林智能软件有限公司 | A kind of depositing dust control method, system and autonomous device for reducing dust |
| CN107551774A (en) * | 2017-10-18 | 2018-01-09 | 华润电力湖北有限公司 | A kind of denitration control method and system for thermal power plant |
| WO2020050444A1 (en) * | 2018-09-06 | 2020-03-12 | 한국생산기술연구원 | Method for two-dimensionally measuring and actively controlling fine dust precursor concentration and temperature |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113769519A (en) * | 2021-11-15 | 2021-12-10 | 辽博信息科技(山东)有限公司 | Intelligent dust fall control method and system for construction site |
| CN113769519B (en) * | 2021-11-15 | 2022-04-08 | 辽博信息科技(山东)有限公司 | Intelligent dust fall control method and system for construction site |
| CN114062212A (en) * | 2021-11-17 | 2022-02-18 | 北京中海兴达建设有限公司 | Building dust monitoring and adjusting system and method |
| CN114320433A (en) * | 2021-11-25 | 2022-04-12 | 煤炭科学技术研究院有限公司 | Coal mine dust removal method |
| CN114320433B (en) * | 2021-11-25 | 2023-10-03 | 煤炭科学技术研究院有限公司 | Coal mine dust removing method |
| CN114934805A (en) * | 2022-06-02 | 2022-08-23 | 中铁十五局集团有限公司 | Automatic dust falling method and system for tunnel section underground excavation construction |
| CN114934805B (en) * | 2022-06-02 | 2023-03-10 | 中铁十五局集团有限公司 | Automatic dust falling method and system for tunnel section underground excavation construction |
| CN115779602A (en) * | 2022-11-15 | 2023-03-14 | 广东爆破工程有限公司 | Automatic spraying dust-settling method and system for surface mine road |
| CN117180899A (en) * | 2023-11-07 | 2023-12-08 | 米脂冀东水泥有限公司 | Cement production dust cleaning method and system |
| CN117180899B (en) * | 2023-11-07 | 2024-02-02 | 米脂冀东水泥有限公司 | Cement production dust cleaning method and system |
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