CN113769519A - Intelligent dust fall control method and system for construction site - Google Patents
Intelligent dust fall control method and system for construction site Download PDFInfo
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- 238000009826 distribution Methods 0.000 claims abstract description 68
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Abstract
The invention discloses an intelligent dust fall control method and system for a construction site, and relates to the field of building construction, wherein the dust monitoring method for the construction site comprises the following steps: acquiring construction strength information of a target building site and meteorological information of the location of the target building site, establishing dust concentration distribution according to initial dust concentration information of the target building site, and presetting a dust concentration threshold interval; predicting dust concentration information in a target area through the dust concentration distribution and a dust monitoring model, and determining a working mode of the dust-settling spraying device according to a threshold interval where the dust concentration information falls; and judging whether the dust concentration information in the target area is smaller than a preset threshold value after the preset time, and if not, correcting the working mode of the dust fall spraying device. The working mode of the dust fall spraying device is adaptively adjusted according to the dust concentration change in the target area, so that the intelligent control of the dust fall system is realized.
Description
Technical Field
The invention relates to the field of building construction, in particular to an intelligent dust fall control method and system for a building site.
Background
In recent years, the scale of national construction projects is in a continuous increase situation, the construction dust becomes one of important sources of urban atmospheric particulate pollution, and the site dust not only pollutes the environment, but also can cause harm to human health. With the continuous rise of the green construction concept, people attach more attention to environmental protection, and the control of building construction dust pollution becomes a problem that the building field must be carefully treated. At present, traditional dust settling methods such as dust screen covering and water spraying are mostly used in construction sites, and the traditional dust settling methods cannot make self-adaptive adjustment changes along with dust concentration changes of the construction sites, so that the problems of poor dust settling effect, water resource waste and the like are caused.
In order to carry out intelligent dust fall control on the dust on the construction site, a system matched with the dust fall control system needs to be developed for realizing the intelligent dust fall control, the system generates the dust concentration distribution of the target construction site through a dust monitoring model,
and acquiring dust concentration information in a target area through the dust concentration distribution, selecting a proper dust settling mode according to different dust concentration information, and correcting the dust settling mode through a dust settling result. In the implementation process of the system, how to generate the dust concentration distribution of a target construction site through a dust monitoring model and how to select and correct a dust fall mode are all problems which need to be solved urgently.
Disclosure of Invention
In order to solve at least one technical problem, the invention provides an intelligent dust fall control method and system for a construction site.
The invention provides an intelligent dust fall control method for a construction site, which comprises the following steps:
acquiring construction strength information of a target construction site and meteorological information of the location of the target construction site, and establishing a dust monitoring model according to the construction strength information and the meteorological information;
establishing dust concentration distribution according to initial dust concentration information of a target building site, and presetting a dust concentration threshold interval;
predicting dust concentration information in a target area through the dust concentration distribution and a dust monitoring model, and determining a working mode of the dust-settling spraying device according to a threshold interval where the dust concentration information falls;
judging whether the dust concentration information in the target area is smaller than a preset threshold value after preset time, and if not, correcting the working mode of the dust fall spraying device;
the initial dust concentration information is obtained through a dust concentration sensor, and the meteorological information is obtained through a meteorological sensor; the dust concentration sensor is arranged in the target building site according to a preset position relation.
According to the scheme, the construction strength information comprises the quantity information of construction vehicles entering and exiting the target building site within the preset time and the construction activity quantity information of dust generated by the target building site within the preset time; the meteorological information comprises one or the combination of more than two of temperature information, humidity information, wind speed information, wind direction information and air pressure information.
In this scheme, according to construction strength information and meteorological information establish dust monitoring model, specifically do:
acquiring construction strength characteristics and meteorological characteristics according to the construction strength information and the meteorological information;
performing correlation analysis on the construction strength characteristic and the meteorological characteristic and dust concentration information of a target building site to generate a construction strength correlation curve and a meteorological correlation curve;
removing offset points of the construction strength correlation curve and the weather correlation curve to generate sample data and inspection data;
establishing a dust monitoring model, carrying out normalization processing on the sample data, and carrying out initialization training on most dust monitoring models through the sample data;
carrying out accuracy inspection on the trained dust monitoring model according to the inspection data, and calculating the deviation rate of prediction data generated by the dust monitoring model and inspection data;
and judging whether the deviation rate is smaller than a preset deviation rate threshold value, if so, proving that the precision of the dust monitoring model meets a preset standard, and outputting the dust monitoring model.
In this scheme, establish dust concentration distribution according to target building site's initial dust concentration information, specifically do:
establishing a three-dimensional space model of a target building site, and acquiring initial dust concentration information of each monitoring point in the target building site through the dust concentration sensor;
determining dust movement information in a target construction site by combining the initial dust concentration information and the meteorological information;
generating a time sequence according to the initial dust concentration information and the dust movement information, and generating dust intensity information of each monitoring point through the time sequence;
and integrating and simulating the dust concentration information of each monitoring point through a three-dimensional space model to generate dust concentration distribution.
In this scheme, according to the threshold interval that dust concentration information falls on confirm dust fall spray set's mode, specifically do:
acquiring dust concentration prediction information in a preset time of a target area through the dust monitoring model;
presetting a first dust concentration threshold and a second dust concentration threshold, wherein the second dust concentration threshold is larger than the first dust concentration threshold, and presetting different working modes of the dust-settling spray device according to the flow speed, the flow, the spray direction and the spray area of the dust-settling spray device;
comparing the dust concentration information with the preset first dust concentration threshold and the second dust concentration threshold, and determining the working mode of the dust-settling spraying device according to the falling threshold interval and the dust concentration distribution;
according to the dust concentration prediction information in the preset time of the target area and the initial dust concentration information of the target area, extracting through a difference value to generate concentration change information of the target area, and calculating the dust concentration change rate in the preset time through the concentration change information;
and adjusting the flow speed and the flow of the dust fall spraying device according to the dust concentration change rate.
In this scheme, right the working mode of dust fall spray set revise, specifically do:
acquiring dust concentration information after preset time, comparing and analyzing the dust concentration information after the preset time with the initial dust concentration information, and calculating a deviation rate;
if the deviation rate is larger than the deviation rate threshold value, generating dust concentration distribution correction information;
correcting the dust concentration distribution through the dust concentration distribution correction information to obtain corrected dust concentration distribution;
determining the working mode of the dust fall spraying device according to the corrected dust concentration distribution information, and performing secondary dust fall;
if the deviation rate is smaller than the deviation rate threshold value, calculating and calculating the dust concentration change rate according to the dust concentration information after the preset time;
and adjusting the flow speed and the flow of the dust fall spraying device according to the dust concentration change rate.
The second aspect of the present invention also provides an intelligent dust fall control system for a construction site, which includes: the intelligent dust fall control method program for the building site is executed by the processor to realize the following steps:
acquiring construction strength information of a target construction site and meteorological information of the location of the target construction site, and establishing a dust monitoring model according to the construction strength information and the meteorological information;
establishing dust concentration distribution according to initial dust concentration information of a target building site, and presetting a dust concentration threshold interval;
predicting dust concentration information in a target area through the dust concentration distribution and a dust monitoring model, and determining a working mode of the dust-settling spraying device according to a threshold interval where the dust concentration information falls;
judging whether the dust concentration information in the target area is smaller than a preset threshold value after preset time, and if not, correcting the working mode of the dust fall spraying device;
the initial dust concentration information is obtained through a dust concentration sensor, and the meteorological information is obtained through a meteorological sensor; the dust concentration sensor is arranged in the target building site according to a preset position relation.
According to the scheme, the construction strength information comprises the quantity information of construction vehicles entering and exiting the target building site within the preset time and the construction activity quantity information of dust generated by the target building site within the preset time; the meteorological information comprises one or the combination of more than two of temperature information, humidity information, wind speed information, wind direction information and air pressure information.
In this scheme, according to construction strength information and meteorological information establish dust monitoring model, specifically do:
acquiring construction strength characteristics and meteorological characteristics according to the construction strength information and the meteorological information;
performing correlation analysis on the construction strength characteristic and the meteorological characteristic and dust concentration information of a target building site to generate a construction strength correlation curve and a meteorological correlation curve;
removing offset points of the construction strength correlation curve and the weather correlation curve to generate sample data and inspection data;
establishing a dust monitoring model, carrying out normalization processing on the sample data, and carrying out initialization training on most dust monitoring models through the sample data;
carrying out accuracy inspection on the trained dust monitoring model according to the inspection data, and calculating the deviation rate of prediction data generated by the dust monitoring model and inspection data;
and judging whether the deviation rate is smaller than a preset deviation rate threshold value, if so, proving that the precision of the dust monitoring model meets a preset standard, and outputting the dust monitoring model.
In this scheme, establish dust concentration distribution according to target building site's initial dust concentration information, specifically do:
establishing a three-dimensional space model of a target building site, and acquiring initial dust concentration information of each monitoring point in the target building site through the dust concentration sensor;
determining dust movement information in a target construction site by combining the initial dust concentration information and the meteorological information;
generating a time sequence according to the initial dust concentration information and the dust movement information, and generating dust intensity information of each monitoring point through the time sequence;
and integrating and simulating the dust concentration information of each monitoring point through a three-dimensional space model to generate dust concentration distribution.
In this scheme, according to the threshold interval that dust concentration information falls on confirm dust fall spray set's mode, specifically do:
acquiring dust concentration prediction information in a preset time of a target area through the dust monitoring model;
presetting a first dust concentration threshold and a second dust concentration threshold, wherein the second dust concentration threshold is larger than the first dust concentration threshold, and presetting different working modes of the dust-settling spray device according to the flow speed, the flow, the spray direction and the spray area of the dust-settling spray device;
comparing the dust concentration information with the preset first dust concentration threshold and the second dust concentration threshold, and determining the working mode of the dust-settling spraying device according to the falling threshold interval and the dust concentration distribution;
according to the dust concentration prediction information in the preset time of the target area and the initial dust concentration information of the target area, extracting through a difference value to generate concentration change information of the target area, and calculating the dust concentration change rate in the preset time through the concentration change information;
and adjusting the flow speed and the flow of the dust fall spraying device according to the dust concentration change rate.
In this scheme, right the working mode of dust fall spray set revise, specifically do:
acquiring dust concentration information after preset time, comparing and analyzing the dust concentration information after the preset time with the initial dust concentration information, and calculating a deviation rate;
if the deviation rate is larger than the deviation rate threshold value, generating dust concentration distribution correction information;
correcting the dust concentration distribution through the dust concentration distribution correction information to obtain corrected dust concentration distribution;
determining the working mode of the dust fall spraying device according to the corrected dust concentration distribution information, and performing secondary dust fall;
if the deviation rate is smaller than the deviation rate threshold value, calculating and calculating the dust concentration change rate according to the dust concentration information after the preset time;
and adjusting the flow speed and the flow of the dust fall spraying device according to the dust concentration change rate.
The invention discloses an intelligent dust fall control method and system for a construction site, and relates to the field of building construction, wherein the dust monitoring method for the construction site comprises the following steps: acquiring construction strength information of a target building site and meteorological information of the location of the target building site, establishing dust concentration distribution according to initial dust concentration information of the target building site, and presetting a dust concentration threshold interval; predicting dust concentration information in a target area through the dust concentration distribution and a dust monitoring model, and determining a working mode of the dust-settling spraying device according to a threshold interval where the dust concentration information falls; and judging whether the dust concentration information in the target area is smaller than a preset threshold value after the preset time, and if not, correcting the working mode of the dust fall spraying device. The working mode of the dust fall spraying device is adaptively adjusted according to the dust concentration change in the target area, so that the intelligent control of the dust fall system is realized.
Drawings
FIG. 1 shows a flow chart of an intelligent dust fall control method for a construction site according to the invention;
FIG. 2 illustrates a flow chart of a method of establishing a dust monitoring model according to the present invention;
FIG. 3 illustrates a flow chart of a method of determining a mode of operation of a reduced dust spray apparatus according to the present invention;
fig. 4 shows a block diagram of an intelligent dust fall control system of a construction site according to the 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.
Fig. 1 shows a flow chart of an intelligent dust fall control method for a construction site according to the invention.
As shown in fig. 1, a first aspect of the present invention provides an intelligent dust suppression control method for a construction site, including:
s102, acquiring construction strength information of a target construction site and meteorological information of the location of the target construction site, and establishing a dust monitoring model according to the construction strength information and the meteorological information;
s104, establishing dust concentration distribution according to initial dust concentration information of a target building site, and presetting a dust concentration threshold interval;
s106, predicting dust concentration information in a target area through the dust concentration distribution and the dust monitoring model, and determining a working mode of the dust-settling spraying device according to a threshold value interval where the dust concentration information falls;
s108, judging whether the dust concentration information in the target area is smaller than a preset threshold value after the preset time, and if not, correcting the working mode of the dust fall spraying device;
the initial dust concentration information is acquired by a dust concentration sensor, and the meteorological information is acquired by a meteorological sensor; the dust concentration sensors are arranged in the target building site according to a preset position relation, and the dust concentration of each position area of the building site can be monitored in real time through the plurality of dust concentration sensors which are uniformly arranged.
The construction intensity information includes information on the number of construction vehicles entering and exiting the target construction site within a preset time and information on the number of construction activities of dust generated by the target construction site within the preset time; the meteorological information comprises one or the combination of more than two of temperature information, humidity information, wind speed information, wind direction information and air pressure information.
Fig. 2 shows a flow chart of the method for establishing the dust monitoring model according to the invention.
According to the embodiment of the invention, the establishment of the dust monitoring model according to the construction strength information and the meteorological information specifically comprises the following steps:
s202, acquiring construction strength characteristics and meteorological characteristics according to the construction strength information and the meteorological information;
s204, performing correlation analysis on the construction strength characteristic and the meteorological characteristic and dust concentration information of the target building site to generate a construction strength correlation curve and a meteorological correlation curve;
s206, removing offset points of the construction strength correlation curve and the weather correlation curve to generate sample data and inspection data;
s208, establishing a dust monitoring model, carrying out normalization processing on the sample data, and carrying out initialization training on most dust monitoring models through the sample data;
s210, carrying out accuracy test on the trained dust monitoring model according to the test data, and calculating the deviation rate of prediction data and test data generated by the dust monitoring model;
s212, judging whether the deviation rate is smaller than a preset deviation rate threshold value, if so, proving that the precision of the dust monitoring model meets a preset standard, and outputting the dust monitoring model.
Establishing a dust monitoring model by taking a neural network technology as a means, initializing model parameters, preprocessing sample data to generate an initial training set, grouping the initial training set, importing different groups of training sets into the dust monitoring model for iterative training, and acquiring an output result; adjusting parameters of the dust monitoring model according to the output result to obtain comparison errors between the output results of different groups of training sets after iterative training and test data; presetting an error threshold, judging whether the error is smaller than the error threshold, if so, proving that the dust monitoring model is trained, and outputting the dust monitoring model. By preprocessing sample data and generating an initial training set through the sample data, the training times of the neural network are effectively reduced, the robustness of the neural network model is ensured by optimizing training data and a training process, and the neural network model is accurately judged for a long time.
It should be noted that, the establishing of the dust concentration distribution according to the initial dust concentration information of the target construction site specifically includes:
establishing a three-dimensional space model of a target building site, and acquiring initial dust concentration information of each monitoring point in the target building site through the dust concentration sensor;
determining dust movement information in a target construction site by combining the initial dust concentration information and the meteorological information;
generating a time sequence according to the initial dust concentration information and the dust movement information, and generating dust intensity information of each monitoring point through the time sequence;
and integrating and simulating the dust concentration information of each monitoring point through a three-dimensional space model to generate dust concentration distribution.
The method comprises the steps of acquiring three-dimensional point cloud data of the construction site, and sending the three-dimensional point cloud data to BIM modeling software; acquiring size data corresponding to a construction site through drawing design information of the construction site, and performing lofting, paying-off and measurement on the construction site to acquire measurement data of the construction site; and producing and manufacturing corresponding building modules according to the measurement data, the measurement data and relevant data of the BIM modeling software model base to generate a three-dimensional space model of the target building site.
Fig. 3 shows a flow chart of a method for determining the working mode of the dustfall spray device according to the present invention.
According to the embodiment of the present invention, the determining the working mode of the dust fall spraying device according to the threshold interval where the dust concentration information falls specifically includes:
s302, acquiring dust concentration prediction information in preset time of a target area through the dust monitoring model;
s304, presetting a first dust concentration threshold and a second dust concentration threshold, wherein the second dust concentration threshold is larger than the first dust concentration threshold, and presetting different working modes of the dust-settling spray device according to the flow speed, the flow, the spray direction and the spray area of the dust-settling spray device;
s306, comparing the dust concentration information with the preset first dust concentration threshold and the second dust concentration threshold, and determining the working mode of the dust-settling spraying device according to the falling threshold interval and the dust concentration distribution;
s308, extracting concentration change information of the target area through a difference value according to the dust concentration prediction information in the preset time of the target area and the initial dust concentration information of the target area, and calculating the dust concentration change rate in the preset time according to the concentration change information;
and S310, adjusting the flow speed and the flow of the dust fall spraying device according to the dust concentration change rate.
If the dust concentration information is smaller than the first dust concentration threshold, the dustfall spraying device carries out dustfall according to a first working parameter; if the dust concentration information is greater than or equal to the first dust concentration threshold and less than or equal to the second dust concentration threshold, the dust fall spraying device falls dust according to a second working parameter; and if the dust concentration information is greater than the second dust concentration threshold, the dust fall spraying device falls dust according to a third working parameter. The corresponding values of the flow velocity, the flow and the spraying area corresponding to the first working parameter, the second working parameter and the third working parameter are gradually changed, the spraying direction is adaptively adjusted according to the dust concentration distribution, and the region with high dust concentration is preferentially sprayed.
It should be noted that, the correcting the working mode of the dust fall spraying device specifically includes:
acquiring dust concentration information after preset time, comparing and analyzing the dust concentration information after the preset time with the initial dust concentration information, and calculating a deviation rate;
if the deviation rate is larger than the deviation rate threshold value, generating dust concentration distribution correction information;
correcting the dust concentration distribution through the dust concentration distribution correction information to obtain corrected dust concentration distribution;
determining the working mode of the dust fall spraying device according to the corrected dust concentration distribution information, and performing secondary dust fall;
if the deviation rate is smaller than the deviation rate threshold value, calculating and calculating the dust concentration change rate according to the dust concentration information after the preset time;
and adjusting the flow speed and the flow of the dust fall spraying device according to the dust concentration change rate.
According to the embodiment of the invention, the dust concentration early warning information in the target area is generated by monitoring the dust concentration in the target building site, and the method specifically comprises the following steps:
acquiring dust concentration information in a target construction site, and generating dust concentration distribution of the target construction site according to the dust concentration information;
generating dust concentration information of a target area according to the dust concentration distribution, and predicting the dust concentration information after preset time through a dust monitoring model;
judging whether the dust concentration prediction information after the preset time is larger than a preset dust concentration threshold value or not, and if so, generating dust concentration change information according to the dust concentration prediction information after the preset time;
analyzing and generating the duration that the dust concentration information in the target area is larger than a preset dust concentration threshold according to the dust concentration change information;
presetting the duration threshold, judging whether the duration is greater than the preset threshold, and if so, sending dust concentration early warning information to constructors in a preset mode.
According to the embodiment of the invention, a database is established, and dust monitoring data of a target construction site is stored in the database, specifically:
constructing a dust concentration monitoring database, and storing dust concentration information monitored in real time by dust concentration sensing, basic information of a target building site, historical monitoring data and flying dust early warning information into the dust concentration monitoring database;
extracting dust emission early warning information in the dust concentration monitoring database, acquiring early warning frequency information within preset time, and acquiring the dust emission early warning rate of a target building site according to the early warning frequency information;
presetting a raise dust early warning rate threshold value, and comparing and analyzing the raise dust early warning rate with the raise dust early warning rate threshold value;
and sending the analysis result of the comparative analysis to a raise dust supervision department according to a preset mode, and if the raise dust early warning rate is greater than the raise dust early warning rate threshold value, generating rectification and modification information for the target building site.
The second aspect of the present invention also provides an intelligent dust fall control system 4 for a construction site, which includes: a memory 41 and a processor 42, wherein the memory includes a program of the intelligent dust fall control method for the construction site, and when the program of the intelligent dust fall control method for the construction site is executed by the processor, the following steps are implemented:
acquiring construction strength information of a target construction site and meteorological information of the location of the target construction site, and establishing a dust monitoring model according to the construction strength information and the meteorological information;
establishing dust concentration distribution according to initial dust concentration information of a target building site, and presetting a dust concentration threshold interval;
predicting dust concentration information in a target area through the dust concentration distribution and a dust monitoring model, and determining a working mode of the dust-settling spraying device according to a threshold interval where the dust concentration information falls;
judging whether the dust concentration information in the target area is smaller than a preset threshold value after preset time, and if not, correcting the working mode of the dust fall spraying device;
the initial dust concentration information is acquired by a dust concentration sensor, and the meteorological information is acquired by a meteorological sensor; the dust concentration sensors are arranged in the target building site according to a preset position relation, and the dust concentration of each position area of the building site can be monitored in real time through the plurality of dust concentration sensors which are uniformly arranged.
The construction intensity information includes information on the number of construction vehicles entering and exiting the target construction site within a preset time and information on the number of construction activities of dust generated by the target construction site within the preset time; the meteorological information comprises one or the combination of more than two of temperature information, humidity information, wind speed information, wind direction information and air pressure information.
According to the embodiment of the invention, the establishment of the dust monitoring model according to the construction strength information and the meteorological information specifically comprises the following steps:
acquiring construction strength characteristics and meteorological characteristics according to the construction strength information and the meteorological information;
performing correlation analysis on the construction strength characteristic and the meteorological characteristic and dust concentration information of a target building site to generate a construction strength correlation curve and a meteorological correlation curve;
removing offset points of the construction strength correlation curve and the weather correlation curve to generate sample data and inspection data;
establishing a dust monitoring model, carrying out normalization processing on the sample data, and carrying out initialization training on most dust monitoring models through the sample data;
carrying out accuracy inspection on the trained dust monitoring model according to the inspection data, and calculating the deviation rate of prediction data generated by the dust monitoring model and inspection data;
and judging whether the deviation rate is smaller than a preset deviation rate threshold value, if so, proving that the precision of the dust monitoring model meets a preset standard, and outputting the dust monitoring model.
Establishing a dust monitoring model by taking a neural network technology as a means, initializing model parameters, preprocessing sample data to generate an initial training set, grouping the initial training set, importing different groups of training sets into the dust monitoring model for iterative training, and acquiring an output result; adjusting parameters of the dust monitoring model according to the output result to obtain comparison errors between the output results of different groups of training sets after iterative training and test data; presetting an error threshold, judging whether the error is smaller than the error threshold, if so, proving that the dust monitoring model is trained, and outputting the dust monitoring model. By preprocessing sample data and generating an initial training set through the sample data, the training times of the neural network are effectively reduced, the robustness of the neural network model is ensured by optimizing training data and a training process, and the neural network model is accurately judged for a long time.
It should be noted that, the establishing of the dust concentration distribution according to the initial dust concentration information of the target construction site specifically includes:
establishing a three-dimensional space model of a target building site, and acquiring initial dust concentration information of each monitoring point in the target building site through the dust concentration sensor;
determining dust movement information in a target construction site by combining the initial dust concentration information and the meteorological information;
generating a time sequence according to the initial dust concentration information and the dust movement information, and generating dust intensity information of each monitoring point through the time sequence;
and integrating and simulating the dust concentration information of each monitoring point through a three-dimensional space model to generate dust concentration distribution.
The method comprises the steps of acquiring three-dimensional point cloud data of the construction site, and sending the three-dimensional point cloud data to BIM modeling software; acquiring size data corresponding to a construction site through drawing design information of the construction site, and performing lofting, paying-off and measurement on the construction site to acquire measurement data of the construction site; and producing and manufacturing corresponding building modules according to the measurement data, the measurement data and relevant data of the BIM modeling software model base to generate a three-dimensional space model of the target building site.
According to the embodiment of the present invention, the determining the working mode of the dust fall spraying device according to the threshold interval where the dust concentration information falls specifically includes:
acquiring dust concentration prediction information in a preset time of a target area through the dust monitoring model;
presetting a first dust concentration threshold and a second dust concentration threshold, wherein the second dust concentration threshold is larger than the first dust concentration threshold, and presetting different working modes of the dust-settling spray device according to the flow speed, the flow, the spray direction and the spray area of the dust-settling spray device;
comparing the dust concentration information with the preset first dust concentration threshold and the second dust concentration threshold, and determining the working mode of the dust-settling spraying device according to the falling threshold interval and the dust concentration distribution;
according to the dust concentration prediction information in the preset time of the target area and the initial dust concentration information of the target area, extracting through a difference value to generate concentration change information of the target area, and calculating the dust concentration change rate in the preset time through the concentration change information;
and adjusting the flow speed and the flow of the dust fall spraying device according to the dust concentration change rate.
If the dust concentration information is smaller than the first dust concentration threshold, the dustfall spraying device carries out dustfall according to a first working parameter; if the dust concentration information is greater than or equal to the first dust concentration threshold and less than or equal to the second dust concentration threshold, the dust fall spraying device falls dust according to a second working parameter; and if the dust concentration information is greater than the second dust concentration threshold, the dust fall spraying device falls dust according to a third working parameter. The corresponding values of the flow velocity, the flow and the spraying area corresponding to the first working parameter, the second working parameter and the third working parameter are gradually changed, the spraying direction is adaptively adjusted according to the dust concentration distribution, and the region with high dust concentration is preferentially sprayed.
It should be noted that, the correcting the working mode of the dust fall spraying device specifically includes:
acquiring dust concentration information after preset time, comparing and analyzing the dust concentration information after the preset time with the initial dust concentration information, and calculating a deviation rate;
if the deviation rate is larger than the deviation rate threshold value, generating dust concentration distribution correction information;
correcting the dust concentration distribution through the dust concentration distribution correction information to obtain corrected dust concentration distribution;
determining the working mode of the dust fall spraying device according to the corrected dust concentration distribution information, and performing secondary dust fall;
if the deviation rate is smaller than the deviation rate threshold value, calculating and calculating the dust concentration change rate according to the dust concentration information after the preset time;
and adjusting the flow speed and the flow of the dust fall spraying device according to the dust concentration change rate.
According to the embodiment of the invention, the dust concentration early warning information in the target area is generated by monitoring the dust concentration in the target building site, and the method specifically comprises the following steps:
acquiring dust concentration information in a target construction site, and generating dust concentration distribution of the target construction site according to the dust concentration information;
generating dust concentration information of a target area according to the dust concentration distribution, and predicting the dust concentration information after preset time through a dust monitoring model;
judging whether the dust concentration prediction information after the preset time is larger than a preset dust concentration threshold value or not, and if so, generating dust concentration change information according to the dust concentration prediction information after the preset time;
analyzing and generating the duration that the dust concentration information in the target area is larger than a preset dust concentration threshold according to the dust concentration change information;
presetting the duration threshold, judging whether the duration is greater than the preset threshold, and if so, sending dust concentration early warning information to constructors in a preset mode.
According to the embodiment of the invention, a database is established, and dust monitoring data of a target construction site is stored in the database, specifically:
constructing a dust concentration monitoring database, and storing dust concentration information monitored in real time by dust concentration sensing, basic information of a target building site, historical monitoring data and flying dust early warning information into the dust concentration monitoring database;
extracting dust emission early warning information in the dust concentration monitoring database, acquiring early warning frequency information within preset time, and acquiring the dust emission early warning rate of a target building site according to the early warning frequency information;
presetting a raise dust early warning rate threshold value, and comparing and analyzing the raise dust early warning rate with the raise dust early warning rate threshold value;
and sending the analysis result of the comparative analysis to a raise dust supervision department according to a preset mode, and if the raise dust early warning rate is greater than the raise dust early warning rate threshold value, generating rectification and modification information for the target building site.
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. An intelligent dust fall control method for a construction site is characterized by comprising the following steps:
acquiring construction strength information of a target construction site and meteorological information of the location of the target construction site, and establishing a dust monitoring model according to the construction strength information and the meteorological information;
establishing dust concentration distribution according to initial dust concentration information of a target building site, and presetting a dust concentration threshold interval;
predicting dust concentration information in a target area through the dust concentration distribution and a dust monitoring model, and determining a working mode of the dust-settling spraying device according to a threshold interval where the dust concentration information falls;
judging whether the dust concentration information in the target area is smaller than a preset threshold value after preset time, and if not, correcting the working mode of the dust fall spraying device;
the initial dust concentration information is obtained through a dust concentration sensor, and the meteorological information is obtained through a meteorological sensor; the dust concentration sensor is arranged in the target building site according to a preset position relation.
2. The intelligent dust fall control method for the construction site according to claim 1, wherein the construction strength information comprises information on the number of construction vehicles entering and leaving the target construction site within a preset time and information on the number of construction activities of dust generated by the target construction site within a preset time; the meteorological information comprises one or the combination of more than two of temperature information, humidity information, wind speed information, wind direction information and air pressure information.
3. The intelligent dust fall control method for the construction site according to claim 1, wherein a dust monitoring model is established according to the construction strength information and the meteorological information, and specifically comprises the following steps:
acquiring construction strength characteristics and meteorological characteristics according to the construction strength information and the meteorological information;
performing correlation analysis on the construction strength characteristic and the meteorological characteristic and dust concentration information of a target building site to generate a construction strength correlation curve and a meteorological correlation curve;
removing offset points of the construction strength correlation curve and the weather correlation curve to generate sample data and inspection data;
establishing a dust monitoring model, carrying out normalization processing on the sample data, and carrying out initialization training on most dust monitoring models through the sample data;
carrying out accuracy inspection on the trained dust monitoring model according to the inspection data, and calculating the deviation rate of prediction data generated by the dust monitoring model and inspection data;
and judging whether the deviation rate is smaller than a preset deviation rate threshold value, if so, proving that the precision of the dust monitoring model meets a preset standard, and outputting the dust monitoring model.
4. The intelligent dust fall control method for the building site according to claim 1, wherein the dust concentration distribution is established according to initial dust concentration information of a target building site, specifically:
establishing a three-dimensional space model of a target building site, and acquiring initial dust concentration information of each monitoring point in the target building site through the dust concentration sensor;
determining dust movement information in a target construction site by combining the initial dust concentration information and the meteorological information;
generating a time sequence according to the initial dust concentration information and the dust movement information, and generating dust intensity information of each monitoring point through the time sequence;
and integrating and simulating the dust concentration information of each monitoring point through a three-dimensional space model to generate dust concentration distribution.
5. The intelligent dust fall control method for the building site according to claim 1, wherein the operation mode of the dust fall spraying device is determined according to the threshold interval in which the dust concentration information falls, specifically:
acquiring dust concentration prediction information in a preset time of a target area through the dust monitoring model;
presetting a first dust concentration threshold and a second dust concentration threshold, wherein the second dust concentration threshold is larger than the first dust concentration threshold, and presetting different working modes of the dust-settling spray device according to the flow speed, the flow, the spray direction and the spray area of the dust-settling spray device;
comparing the dust concentration information with the preset first dust concentration threshold and the second dust concentration threshold, and determining the working mode of the dust-settling spraying device according to the falling threshold interval and the dust concentration distribution;
according to the dust concentration prediction information in the preset time of the target area and the initial dust concentration information of the target area, extracting through a difference value to generate concentration change information of the target area, and calculating the dust concentration change rate in the preset time through the concentration change information;
and adjusting the flow speed and the flow of the dust fall spraying device according to the dust concentration change rate.
6. The intelligent dust fall control method for the building site according to claim 1, wherein the working mode of the dust fall spraying device is modified, specifically:
acquiring dust concentration information after preset time, comparing and analyzing the dust concentration information after the preset time with the initial dust concentration information, and calculating a deviation rate;
if the deviation rate is larger than the deviation rate threshold value, generating dust concentration distribution correction information;
correcting the dust concentration distribution through the dust concentration distribution correction information to obtain corrected dust concentration distribution;
determining the working mode of the dust fall spraying device according to the corrected dust concentration distribution information, and performing secondary dust fall;
if the deviation rate is smaller than the deviation rate threshold value, calculating and calculating the dust concentration change rate according to the dust concentration information after the preset time;
and adjusting the flow speed and the flow of the dust fall spraying device according to the dust concentration change rate.
7. The utility model provides a building site's intelligent dust fall control system which characterized in that, this system includes: the intelligent dust fall control method program for the building site is executed by the processor to realize the following steps:
acquiring construction strength information of a target construction site and meteorological information of the location of the target construction site, and establishing a dust monitoring model according to the construction strength information and the meteorological information;
establishing dust concentration distribution according to initial dust concentration information of a target building site, and presetting a dust concentration threshold interval;
predicting dust concentration information in a target area through the dust concentration distribution and a dust monitoring model, and determining a working mode of the dust-settling spraying device according to a threshold interval where the dust concentration information falls;
judging whether the dust concentration information in the target area is smaller than a preset threshold value after preset time, and if not, correcting the working mode of the dust fall spraying device;
the initial dust concentration information is obtained through a dust concentration sensor, and the meteorological information is obtained through a meteorological sensor; the dust concentration sensor is arranged in the target building site according to a preset position relation.
8. The intelligent dust fall control system for the construction site according to claim 7, wherein a dust monitoring model is established according to the construction strength information and the meteorological information, specifically:
acquiring construction strength characteristics and meteorological characteristics according to the construction strength information and the meteorological information;
performing correlation analysis on the construction strength characteristic and the meteorological characteristic and dust concentration information of a target building site to generate a construction strength correlation curve and a meteorological correlation curve;
removing offset points of the construction strength correlation curve and the weather correlation curve to generate sample data and inspection data;
establishing a dust monitoring model, carrying out normalization processing on the sample data, and carrying out initialization training on most dust monitoring models through the sample data;
carrying out accuracy inspection on the trained dust monitoring model according to the inspection data, and calculating the deviation rate of prediction data generated by the dust monitoring model and inspection data;
and judging whether the deviation rate is smaller than a preset deviation rate threshold value, if so, proving that the precision of the dust monitoring model meets a preset standard, and outputting the dust monitoring model.
9. The intelligent dust fall control system for the building site according to claim 7, wherein the dust concentration distribution is established according to initial dust concentration information of a target building site, specifically:
establishing a three-dimensional space model of a target building site, and acquiring initial dust concentration information of each monitoring point in the target building site through the dust concentration sensor;
determining dust movement information in a target construction site by combining the initial dust concentration information and the meteorological information;
generating a time sequence according to the initial dust concentration information and the dust movement information, and generating dust intensity information of each monitoring point through the time sequence;
and integrating and simulating the dust concentration information of each monitoring point through a three-dimensional space model to generate dust concentration distribution.
10. The intelligent dust fall control system for the construction site according to claim 7, wherein the operating mode of the dust fall spraying device is determined according to the threshold interval in which the dust concentration information falls, specifically:
acquiring dust concentration prediction information in a preset time of a target area through the dust monitoring model;
presetting a first dust concentration threshold and a second dust concentration threshold, wherein the second dust concentration threshold is larger than the first dust concentration threshold, and presetting different working modes of the dust-settling spray device according to the flow speed, the flow, the spray direction and the spray area of the dust-settling spray device;
comparing the dust concentration information with the preset first dust concentration threshold and the second dust concentration threshold, and determining the working mode of the dust-settling spraying device according to the falling threshold interval and the dust concentration distribution;
according to the dust concentration prediction information in the preset time of the target area and the initial dust concentration information of the target area, extracting through a difference value to generate concentration change information of the target area, and calculating the dust concentration change rate in the preset time through the concentration change information;
and adjusting the flow speed and the flow of the dust fall spraying device according to the dust concentration change rate.
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