CN112418056A - Dust suppression and water sprinkling intelligent control system and control method - Google Patents
Dust suppression and water sprinkling intelligent control system and control method Download PDFInfo
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- CN112418056A CN112418056A CN202011298054.2A CN202011298054A CN112418056A CN 112418056 A CN112418056 A CN 112418056A CN 202011298054 A CN202011298054 A CN 202011298054A CN 112418056 A CN112418056 A CN 112418056A
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- G06V20/10—Terrestrial scenes
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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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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
- G06V10/141—Control of illumination
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D2247/00—Details relating to the separation of dispersed particles from gases, air or vapours by liquid as separating agent
- B01D2247/08—Means for controlling the separation process
Abstract
The invention relates to an intelligent control system for dust suppression and water sprinkling, which belongs to the field of sewage treatment and comprises the following components: the signal detection module is used for acquiring detection indexes and first control parameters of dust suppression and sprinkling, wherein the detection indexes comprise an air dust index before sprinkling and an air dust index after sprinkling; the image acquisition module is used for acquiring an environment image; the analysis module is used for generating a post-watering air dust index according to the environment image, the pre-watering air dust index and a first control parameter, and generating a second control parameter according to the post-watering air dust index; and the control module is used for controlling the execution module according to the second control parameter. On the premise of ensuring that the indexes of dust in air after sprinkling are stable and reach the standard, the dust control system continuously collects the state of dust in the environment, adapts to the fluctuation condition of the air quality of the environment in real time, reduces the labor investment, reduces the labor intensity and the cost, obviously reduces the water amount of dust suppression sprinkling and reduces the operation cost of the system.
Description
Technical Field
The invention belongs to the field of sewage treatment, and relates to an intelligent control system and a control method for dust suppression and water spraying.
Background
Environmental dust suppression is a very important link for guaranteeing the health and safety of working environment of workers, and water sprinkling and dust suppression are the most effective, rapid and economic measures.
However, the existing dust suppression water spraying is basically manually controlled, has strong randomness, is not beneficial to suppressing dust in time, consumes manpower, and has the condition of waste caused by excessive water consumption.
Disclosure of Invention
In view of the above, the invention aims to provide an intelligent control system and a control method for dust suppression and water sprinkling, which are used for overcoming the defects of the existing operation and achieving the purposes of reducing the labor intensity of personnel, accurately and effectively suppressing dust in time and saving water.
In order to achieve the purpose, the invention provides the following technical scheme:
in one aspect, the present invention provides an intelligent control system for dust suppression and water sprinkling, comprising:
the signal detection module is used for acquiring detection indexes and first control parameters of dust suppression and sprinkling, wherein the detection indexes comprise an air dust index before sprinkling and an air dust index after sprinkling;
the image acquisition module is used for acquiring an environment image;
the analysis module is used for generating a post-watering air dust index according to the environment image, the pre-watering air dust index and a first control parameter, and generating a second control parameter according to the post-watering air dust index;
and the control module is used for controlling the execution module according to the second control parameter.
Further, the image acquisition module comprises a protection bin, a light supplement lamp and a high-speed camera, wherein a transparent window is arranged on the protection bin, and the high-speed camera is installed in the sealed protection bin; the image acquisition module is horizontally arranged 2-20 m above the ground of the monitoring environment and is arranged every 100-600 m2And 1-3 image acquisition modules are installed, and the installation height of each image acquisition module is consistent.
Further, the execution module is a normally closed electric valve for controlling watering.
Further, the analysis module includes:
the image identification submodule is used for identifying the environment image so as to obtain the image characteristic parameters of the environment image;
the intelligent algorithm submodule is used for generating the air dust index after water sprinkling according to the image characteristic parameter, the air dust index before water sprinkling and the first control parameter; and generating the second control parameter according to the air dust index after the water spraying.
Further, the image characteristic parameter includes at least one of: environmental visibility, environmental dust distribution uniformity.
Further, the generating of post-watering air dust indicators from the environmental image, the pre-watering air dust indicators, and the first control parameters includes:
and inputting the environment image, the pre-watering air dust index and the first control parameter into a pre-trained prediction model, and outputting the post-watering air dust index.
Further, the pre-trained prediction model is obtained by the following steps:
acquiring training data and constructing a training data set, wherein the training data comprises the detection index, the image characteristic parameter of the environment image and the first control parameter;
and training by using a regression model algorithm based on the training data set to obtain a prediction model.
Further, the pre-watering air dust indicator or/and the post-watering air dust indicator comprises at least one of: concentration, particle size.
Further, the first control parameter or/and the second control parameter comprises at least one of: the sprinkling time, the sprinkling quantity, the opening of the sprinkling control valve, the opening number of the sprinkling nozzles and the opening area of the sprinkling nozzles.
On the other hand, the invention provides an intelligent control method for dust suppression and water sprinkling, which comprises the following steps:
acquiring detection indexes and first control parameters of the dust suppression and sprinkling, wherein the detection indexes comprise an air dust index before sprinkling and an air dust index after sprinkling;
acquiring an environment image;
generating a post-watering air dust index according to the environment image, the pre-watering air dust index and a first control parameter;
generating a second control parameter according to the air dust index after the water spraying;
and controlling an execution module according to the second control parameter.
Further, the generating of post-watering air dust indicators from the environmental image, the pre-watering air dust indicators, and the first control parameters includes:
identifying the environment image to acquire image characteristic parameters of the environment image;
and generating the air dust index after watering according to the image characteristic parameter, the air dust index before watering and the first control parameter.
Further, the image characteristic parameter includes at least one of: environmental visibility, environmental dust distribution uniformity.
Further, the generating of post-watering air dust indicators from the environmental image, the pre-watering air dust indicators, and the first control parameters includes:
and inputting the environment image, the pre-watering air dust index and the first control parameter into a pre-trained prediction model, and outputting the post-watering air dust index.
Further, a method for obtaining a pre-trained predictive model, comprising:
acquiring training data and constructing a training data set, wherein the training data comprises the detection index, the image characteristic parameter of the environment image and the first control parameter;
and training based on the training data set and a regression model algorithm to obtain a prediction model.
Further, the pre-watering air dust indicator or/and the post-watering air dust indicator comprises at least one of: concentration, particle size.
Further, the first control parameter or/and the second control parameter comprises at least one of: the sprinkling time, the sprinkling quantity, the opening of the sprinkling control valve, the opening number of the sprinkling nozzles and the opening area of the sprinkling nozzles.
The invention has the beneficial effects that: the invention applies the image recognition technology to environmental dust suppression, constructs an intelligent control model by using a self-adaptive intelligent algorithm, and realizes the intelligent control of dust suppression and water sprinkling. Aiming at different environmental conditions, the model can realize self-updating, meanwhile, the calculation result is the optimal control parameter value, the reaction delay caused by continuously correcting the existing parameters is avoided, the cooperative control of the control parameters of all links of dust suppression and water sprinkling can be realized, and the intelligent optimal control is realized. By applying the intelligent control system and the method for dust suppression and sprinkling, on the premise of ensuring the index of dust in air after sprinkling to be stable and up to the standard, the dust state in the environment is continuously and uninterruptedly acquired, the fluctuation condition of the environmental air quality is adapted in real time, the manual input is reduced, the labor intensity and the cost are reduced, the water quantity of dust suppression and sprinkling is obviously reduced, and the system operation cost is reduced.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the invention may be realized and attained by the means of the instrumentalities and combinations particularly pointed out hereinafter.
Drawings
For the purposes of promoting a better understanding of the objects, aspects and advantages of the invention, reference will now be made to the following detailed description taken in conjunction with the accompanying drawings in which:
FIG. 1 is a schematic block diagram of an intelligent control system for dust suppression and water sprinkling according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating an intelligent control method for dust suppression and water sprinkling according to an embodiment of the present invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention in a schematic way, and the features in the following embodiments and examples may be combined with each other without conflict.
Wherein the showings are for the purpose of illustrating the invention only and not for the purpose of limiting the same, and in which there is shown by way of illustration only and not in the drawings in which there is no intention to limit the invention thereto; to better illustrate the embodiments of the present invention, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product; it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted.
The same or similar reference numerals in the drawings of the embodiments of the present invention correspond to the same or similar components; in the description of the present invention, it should be understood that if there is an orientation or positional relationship indicated by terms such as "upper", "lower", "left", "right", "front", "rear", etc., based on the orientation or positional relationship shown in the drawings, it is only for convenience of description and simplification of description, but it is not an indication or suggestion that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and therefore, the terms describing the positional relationship in the drawings are only used for illustrative purposes, and are not to be construed as limiting the present invention, and the specific meaning of the terms may be understood by those skilled in the art according to specific situations.
The utility model provides a press down dirt watering intelligence control system for parameter to pressing down dirt watering is controlled, wherein, presses down dirt watering device including electric valve, shower nozzle, environment dust concentration detection appearance, environment dust particle diameter detection appearance, the image acquisition module that sets up and supporting pipeline, cable etc..
In one embodiment, the matching pipeline is connected with an external water-full pressure pipeline.
The image acquisition module comprises a protection bin, a light supplementing lamp and a high-speed camera, wherein a transparent window is arranged on the protection bin, the high-speed camera is installed in the sealed protection bin, collects external images through the transparent window, and provides a light source for external image illumination through the light supplementing lamp. The high speed camera may recognize ambient visibility.
The image acquisition module can be horizontally arranged 2-20 m above the ground of the monitoring environment, and can be simultaneously provided with a plurality of image acquisition modules, wherein the image acquisition modules are recommended to be 100-600 m21-3 sets of the devices are installed. When a plurality of image acquisition modules are configured, the installation heights of all the environment image acquisition devices are required to be ensured to be consistent.
The electric valve is in a normally closed state and is opened according to the instruction of the execution module when dust suppression and water sprinkling are needed.
As shown in fig. 1, an intelligent control system for dust suppression sprinkler includes:
the signal detection module 11 is configured to obtain detection indexes of the dust suppression and sprinkling and first control parameters, where the detection indexes include an air dust index before sprinkling and an air dust index after sprinkling;
an image acquisition module 12, configured to acquire an environment image;
the analysis module 13 is used for generating a post-watering air dust index according to the environment image, the pre-watering air dust index and a first control parameter, and generating a second control parameter according to the post-watering air dust index;
and the control module 14 is used for controlling the execution module according to the second control parameter.
Wherein, the execution module comprises an electric valve.
Referring to fig. 2, an intelligent control method for dust suppression and water sprinkling includes:
s61: acquiring detection indexes and first control parameters of the dust suppression and sprinkling, wherein the detection indexes comprise an air dust index before sprinkling and an air dust index after sprinkling;
s62: acquiring an environment image;
s63: generating a post-watering air dust index according to the environment image, the pre-watering air dust index and a first control parameter;
s64: generating a second control parameter according to the air dust index after the water spraying;
s65: and controlling an execution module according to the second control parameter.
The invention applies the image recognition technology to environmental dust suppression, constructs an intelligent control model by using a self-adaptive intelligent algorithm, and realizes the intelligent control of dust suppression and water sprinkling.
In one embodiment, said generating a post-spill air dust indicator from said environmental image, said pre-spill air dust indicator and a first control parameter comprises:
identifying the environment image to acquire image characteristic parameters of the environment image;
and generating the air dust index after watering according to the image characteristic parameter, the air dust index before watering and the first control parameter.
In an embodiment, the image characteristic parameter comprises at least one of: environmental visibility, environmental dust distribution uniformity.
The pre-watering air dust indicator comprises at least one of: concentration, particle size.
In one embodiment, said generating a post-spill air dust indicator from said environmental image, said pre-spill air dust indicator and a first control parameter comprises:
and inputting the environment image (specifically, the image characteristic parameters of the environment image), the air dust index before sprinkling and the first control parameter into a pre-trained prediction model, and outputting the air dust index after sprinkling.
In one embodiment, a method for obtaining a pre-trained predictive model includes:
acquiring training data and constructing a training data set, wherein the training data comprises the detection index, the image characteristic parameter of the environment image and the first control parameter;
and training based on the training data set and a regression model algorithm to obtain a prediction model.
In one embodiment, the control parameter includes at least one of: the sprinkling time, the sprinkling quantity, the opening of the sprinkling control valve, the opening number of the sprinkling nozzles and the opening area of the sprinkling nozzles.
The pre-watering air dust indicator comprises at least one of: concentration, particle size.
In this embodiment, the embodiments of the method part correspond to the embodiments of the apparatus part described above, to which reference is made for each other.
In order to achieve the above and other related objects, the present invention provides an intelligent control method for dust suppression watering, comprising:
acquiring detection indexes and first control parameters of the dust suppression and sprinkling, wherein the detection indexes comprise an air dust index before sprinkling and an air dust index after sprinkling;
acquiring an environment image;
generating a post-watering air dust index according to the environment image, the pre-watering air dust index and a first control parameter;
generating a second control parameter according to the air dust index after the water spraying;
and controlling an execution module according to the second control parameter.
Optionally, the generating a post-watering air dust indicator from the environmental image, the pre-watering air dust indicator, and a first control parameter comprises:
identifying the environment image to acquire image characteristic parameters of the environment image;
and generating the air dust index after watering according to the image characteristic parameter, the air dust index before watering and the first control parameter.
Optionally, the image characteristic parameter comprises at least one of: environmental visibility, environmental dust distribution uniformity.
Optionally, the generating a post-watering air dust indicator from the environmental image, the pre-watering air dust indicator, and a first control parameter comprises:
and inputting the environment image, the pre-watering air dust index and the first control parameter into a pre-trained prediction model, and outputting the post-watering air dust index.
Optionally, the method for obtaining a pre-trained prediction model includes:
acquiring training data and constructing a training data set, wherein the training data comprises the detection index, the image characteristic parameter of the environment image and the first control parameter;
and training based on the training data set and a regression model algorithm to obtain a prediction model.
Optionally, the pre-watering air dust indicator or/and the post-watering air dust indicator comprises at least one of: concentration, particle size.
Optionally, the first control parameter or/and the second control parameter comprises at least one of: the sprinkling time, the sprinkling quantity, the opening of the sprinkling control valve, the opening number of the sprinkling nozzles and the opening area of the sprinkling nozzles.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
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, may be located in one place, or may be 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, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may comprise any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a Random Access Memory (RAM), an electrical carrier signal, a telecommunications signal, a software distribution medium, etc.
Finally, the above embodiments are only intended to illustrate the technical solutions of the present invention and not to limit the present invention, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions, and all of them should be covered by the claims of the present invention.
Claims (10)
1. The utility model provides a press down dirt watering intelligence control system which characterized in that: the method comprises the following steps:
the signal detection module is used for acquiring detection indexes and first control parameters of dust suppression and sprinkling, wherein the detection indexes comprise an air dust index before sprinkling and an air dust index after sprinkling;
the image acquisition module is used for acquiring an environment image;
the analysis module is used for generating a post-watering air dust index according to the environment image, the pre-watering air dust index and a first control parameter, and generating a second control parameter according to the post-watering air dust index;
and the control module is used for controlling the execution module according to the second control parameter.
2. A dust suppression and watering intelligent control system according to claim 1, characterized in that: the image acquisition module comprises a protection bin, a light supplement lamp and a high-speed camera, wherein a transparent window is arranged on the protection bin, and the high-speed camera is arranged in the sealed protection bin; the image acquisition module is horizontally arranged 2-20 m above the ground of the monitoring environment and is arranged every 100-600 m2And 1-3 image acquisition modules are installed, and the installation height of each image acquisition module is consistent.
3. A dust suppression and watering intelligent control system according to claim 1, characterized in that: the analysis module includes:
the image identification submodule is used for identifying the environment image so as to obtain the image characteristic parameters of the environment image;
the intelligent algorithm submodule is used for generating the air dust index after water sprinkling according to the image characteristic parameter, the air dust index before water sprinkling and the first control parameter; and generating the second control parameter according to the air dust index after the water spraying.
4. A dust suppression and watering intelligent control system according to claim 3, characterized in that: the image characteristic parameter comprises at least one of: environmental visibility, environmental dust distribution uniformity.
5. A dust suppression and watering intelligent control system according to claim 3, characterized in that: generating a post-watering air dust index according to the environment image, the pre-watering air dust index and a first control parameter, comprising:
and inputting the environment image, the pre-watering air dust index and the first control parameter into a pre-trained prediction model, and outputting the post-watering air dust index.
6. A dust suppression and watering intelligent control system according to claim 5, characterized in that: the pre-trained prediction model is obtained by the following steps:
acquiring training data and constructing a training data set, wherein the training data comprises the detection index, the image characteristic parameter of the environment image and the first control parameter;
and training by using a regression model algorithm based on the training data set to obtain a prediction model.
7. A dust suppression and watering intelligent control system according to claim 1, characterized in that: the execution module is a normally closed electric valve for controlling watering.
8. A dust suppression and watering intelligent control system according to claim 1, characterized in that: the pre-watering air dust indicator or/and the post-watering air dust indicator comprises at least one of: concentration, particle size.
9. A dust suppression and watering intelligent control system according to claim 1, characterized in that: the first control parameter or/and the second control parameter comprises at least one of: the sprinkling time, the sprinkling quantity, the opening of the sprinkling control valve, the opening number of the sprinkling nozzles and the opening area of the sprinkling nozzles.
10. An intelligent control method for dust suppression and water spraying is characterized in that: the method comprises the following steps:
acquiring detection indexes and first control parameters of the dust suppression and sprinkling, wherein the detection indexes comprise an air dust index before sprinkling and an air dust index after sprinkling;
acquiring an environment image;
generating a post-watering air dust index according to the environment image, the pre-watering air dust index and a first control parameter;
generating a second control parameter according to the air dust index after the water spraying;
and controlling an execution module according to the second control parameter.
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| CN113648750A (en) * | 2021-07-30 | 2021-11-16 | 青岛海尔空调器有限总公司 | Method and device for controlling dust removing equipment, equipment and readable storage medium |
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Application publication date: 20210226 |