CN111131791A - Spraying device with eagle eye monitoring function and application thereof - Google Patents

Spraying device with eagle eye monitoring function and application thereof Download PDF

Info

Publication number
CN111131791A
CN111131791A CN201911423054.8A CN201911423054A CN111131791A CN 111131791 A CN111131791 A CN 111131791A CN 201911423054 A CN201911423054 A CN 201911423054A CN 111131791 A CN111131791 A CN 111131791A
Authority
CN
China
Prior art keywords
module
dust
spraying
fog gun
eagle eye
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201911423054.8A
Other languages
Chinese (zh)
Inventor
徐潜
李军
王富江
张晓青
解淇凯
宋涛
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Bme Environmental Technology Shanghai Co ltd
Original Assignee
Bme Environmental Technology Shanghai Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Bme Environmental Technology Shanghai Co ltd filed Critical Bme Environmental Technology Shanghai Co ltd
Priority to CN201911423054.8A priority Critical patent/CN111131791A/en
Publication of CN111131791A publication Critical patent/CN111131791A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B01PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
    • B01DSEPARATION
    • B01D47/00Separating dispersed particles from gases, air or vapours by liquid as separating agent
    • B01D47/06Spray cleaning
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60Control of cameras or camera modules

Abstract

The invention provides a spraying device with an eagle eye monitoring function, which comprises the following components: the image acquisition mechanism is used for identifying the dust generation condition of a dust source site in the material pile greenhouse and sending a dust generation signal; the fog gun mechanism is used for spraying and dedusting a dust source on site; the middle control mechanism is in signal connection with the image acquisition mechanism and the fog gun mechanism respectively and is used for receiving a dust production signal sent by the image acquisition mechanism and sending a driving signal to the fog gun mechanism to drive the fog gun mechanism to perform spraying and dust reduction. The spraying device with the eagle eye monitoring function and the application thereof provided by the invention have the advantages that dust in the air is captured by spraying small water drops, the dust source condition is judged by adopting image intelligent identification, the fog gun is controlled in a closed loop to execute corresponding actions, the high-efficiency energy-saving intelligent monitoring and automatic water spraying can be realized, and the unorganized dust in the production process of the material pile greenhouse can be restrained.

Description

Spraying device with eagle eye monitoring function and application thereof
Technical Field
The invention belongs to the technical field of environmental protection and dust removal, and relates to a spraying device with an eagle eye monitoring function and application thereof.
Background
The material pile placed in the stock dump in the industries of steel, coking, mine, metallurgy, thermal power, cement, sand aggregate and the like can generate dust under the action of wind. In order to inhibit the dust pollution of the storage yard, in the prior art, a fixed greenhouse is mainly built to cover the whole storage yard to form a closed system, so that the dust can be prevented from diffusing into the external environment. However, during the processes of unloading, stacking, carrying, blanking, batching, belt transferring and the like of the material pile, a large amount of unorganized dust can still be generated, the dust diffused in the material shed can seriously harm the health of human bodies, toxic metal dust and non-metal dust can cause poisoning and even death after entering human bodies, and meanwhile, the closed system of the material pile has the risk of dust explosion.
Therefore, the dust generated in the material shed needs to be treated, the unorganized discharged dust has the characteristics of unconcentrated discharge, irregularity, uncertain diffusion, large diffusion range and the like, the particle size of dust particles in different production links is different from the dust raising condition of the dust, the simple water spraying cannot meet the increasingly strict unorganized dust treatment requirement, and how to design the dust suppression device capable of efficiently saving energy, intelligently monitoring and automatically spraying water is the problem to be solved by technical personnel in the field.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, an object of the present invention is to provide a spraying device with an eagle eye monitoring function and an application thereof, which can spray water automatically and efficiently, intelligently and effectively, and save energy, thereby suppressing the unorganized dust in the production process of the material pile greenhouse.
To achieve the above and other related objects, the present invention provides a spraying apparatus with an eagle eye monitoring function, comprising:
the image acquisition mechanism is used for identifying the dust generation condition of a dust source site in the material pile greenhouse and sending a dust generation signal;
the fog gun mechanism is used for spraying dust fall on a dust source site;
and the middle control mechanism is in signal connection with the image acquisition mechanism and the fog gun mechanism respectively, is used for receiving a dust production signal sent by the image acquisition mechanism, and sends a driving signal to the fog gun mechanism so as to drive the fog gun mechanism to spray and reduce dust.
Preferably, the image acquisition mechanism comprises a hawk eye snapshot module and an image transmission module, the hawk eye snapshot module is in signal connection with the image transmission module, and the hawk eye snapshot module is used for acquiring the dust generation situation of a dust source site and sending a dust generation signal to the central control mechanism through the image transmission module.
More preferably, the eagle eye capturing module is selected from one of a camera, a video camera or a web camera.
Further preferably, the camera is a color camera from Basler Aca4600-7gc 14MP in Germany with computer M2518-MPW 225 mm lens, and the performance parameters are as follows: maximum image size 4608 × 3288, frame rate 7fps, and interface GigE or PoE.
Further preferably, the camera is a Haikang DS-2CD3T56WD-I3 remote monitoring camera, and the performance parameters are as follows: the maximum image size is 2560 × 1920, the frame rate is 20fps, and the interface is GigE or PoE.
Further preferably, the network camera adopts a Balser Pylon4.NET SDK or Haikang CH-HCNetSDKV5.3.5.46Win64SDK development kit.
More preferably, the image transmission module is a fiber switch.
Preferably, the fog gun mechanism comprises the following components:
the cylinder spraying module is used for spraying dust on a dust source field to reduce dust;
the high-pressure water pump module is connected with the cylinder spraying module, is in signal connection with the central control mechanism, and is used for receiving a driving signal sent by the central control mechanism and supplying water to the cylinder spraying module so as to drive the cylinder spraying module to spray and reduce dust;
the servo motor module is connected with the cylinder spraying module, the servo motor module is in signal connection with the central control mechanism, and the servo motor module is used for receiving a driving signal sent by the central control mechanism and then driving the cylinder spraying module to rotate on a dust source site and adjusting a spraying angle.
More preferably, the cylinder spraying module comprises a centrifugal fan, a fog gun cylinder and an atomizing nozzle, wherein the atomizing nozzle and the centrifugal fan are respectively located on two sides of the fog gun cylinder and communicated with each other through the fog gun cylinder.
More preferably, the diameter of the sprayed fog drops of the cylinder spraying module is 10-30 μm.
More preferably, the spray distance of the cylinder spray module is 40-80m, preferably 60 m.
More preferably, the high pressure water pump module is a plunger pump.
More preferably, the water supply pressure of the high-pressure water pump module is 0.4-0.8MPa, and the flow rate is 1.5-5m3/h。
More preferably, the servo motor module adopts a direct current motor as a steering motor of the cylinder spraying module, and adopts an encoder drive as a driving mode of the cylinder spraying module.
Further preferably, the deviation of the angular positioning value of the servo motor module is < + > -2%.
Further preferably, the horizontal rotation angle of the servo motor module is 0-350 °, preferably 340 °.
Preferably, the centering mechanism comprises the following components:
the image processing module is in signal connection with the image acquisition mechanism and is used for receiving the dust generation signal sent by the image acquisition mechanism, analyzing the dust generation signal and sending an analysis result signal;
the I/O module is used for inputting a control signal;
and the program control module is respectively in signal connection with the image processing module, the I/O module and the fog gun mechanism, and is used for receiving the analysis result signal sent by the image processing module and the control signal sent by the I/O module and sending a driving signal to the fog gun mechanism.
More preferably, the image processing module is in signal connection with the image transmission module, and is configured to receive the dust generation signal sent by the image transmission module, analyze the dust generation signal, and send an analysis result signal.
More preferably, the program control module is in signal connection with the image processing module, the I/O module, the high-pressure water pump module, and the servo motor module, respectively, and is configured to receive an analysis result signal sent by the image processing module and a control signal sent by the I/O module, and send a driving signal to the high-pressure water pump module and the servo motor module.
More preferably, the computer where the program control module is located is an industrial PC, and the performance parameters are as follows: the Windows 7Pro operating system, double Intel Xeon E5-2630v4CPU, EB-X10 mainboard, 32G memory, 128G SSD +1TB HDD hard disk, GeForce GTX 1660Ti 6GB GPU independent display card, 6-Port POE Gigabit network server.
More preferably, the image processing module is image recognition software.
Further preferably, the software environment of the image recognition software is: the system comprises an OpenCV software library, an Emgu software development environment, Cuda 8.0 supporting software, a Caffe deep learning target detection framework, an Easy Darwin streaming media server framework and an Ffmpeg SDK software development kit.
Further preferably, the image recognition software comprises a video moving object detection software module based on time domain analysis of variance, a video moving object tracking software module, a vehicle recognition software module based on deep learning, a vehicle size evaluation software module based on variation segmentation and accurate positioning, and a dust plume identification module, and can be purchased from the market.
Those skilled in the art will appreciate that the processes of calculating, comparing, determining and outputting instructions of the program control module and the image processing module can be implemented by using an integrated circuit module, a programmable logic device, other hardware or installing corresponding software modules in the prior art.
More preferably, the program control module drives the servo motor module to drive the cylinder spraying module to rotate on the dust source site and adjust the spraying angle.
More preferably, the I/O module is a keyboard or a touch screen.
The invention provides a use of a spraying device with an eagle eye monitoring function in a stockpile greenhouse.
As described above, the spraying device with the eagle eye monitoring function and the application thereof provided by the invention have the following beneficial effects:
(1) the invention provides a spraying device with an eagle eye monitoring function and application thereof, wherein one of the most effective methods for controlling dust is as follows: and spraying small water drops to capture dust in the air, judging the dust source condition by adopting image intelligent identification, and carrying out corresponding action by closed-loop control of the fog gun.
(2) The invention provides a spraying device with an eagle eye monitoring function and application thereof, wherein the spraying device is used for detecting a video moving target based on time domain variance analysis, tracking the video moving target, identifying a software module based on deep learning, evaluating the vehicle size based on variation segmentation and accurate positioning and identifying a dust plume identification module, so that the vehicle loading and unloading state can be judged from a dust generating source head.
(3) The invention provides a spraying device with an eagle eye monitoring function and application thereof, wherein the spraying device has the following intelligent control function through a fog gun: automatically tracking the spraying of the target object and suppressing dust.
Drawings
Fig. 1 is a schematic view showing a flow structure of a spraying device with an eagle eye monitoring function according to the present invention.
Reference numerals
100 image acquisition mechanism
110 eagle eye snapshot module
120 image transmission module
200 fog gun mechanism
210 cylinder spraying module
220 high-pressure water pump module
230 servo motor module
300 center control mechanism
310 program control module
320 image processing module
330I/O module
Detailed Description
The following description of the embodiments of the present invention is provided for illustrative purposes, and other advantages and effects of the present invention will become apparent to those skilled in the art from the present disclosure.
Please refer to fig. 1. It should be understood that the structures, ratios, sizes, and the like shown in the drawings and described in the specification are only used for matching with the disclosure of the specification, so as to be understood and read by those skilled in the art, and are not used to limit the conditions under which the present invention can be implemented, so that the present invention has no technical significance, and any structural modification, ratio relationship change, or size adjustment should still fall within the scope of the present invention without affecting the efficacy and the achievable purpose of the present invention. In addition, the terms "upper", "lower", "left", "right", "middle" and "one" used in the present specification are for clarity of description, and are not intended to limit the scope of the present invention, and the relative relationship between the terms and the terms is not to be construed as a scope of the present invention.
As shown in fig. 1, a first aspect of the present invention provides a spraying apparatus with an eagle eye monitoring function, which is disposed in a stockpile greenhouse, and includes the following components:
the system comprises an image acquisition mechanism 100, a data acquisition unit and a data processing unit, wherein the image acquisition mechanism 100 is used for identifying the dust generation condition of a dust source site in the material pile greenhouse and sending a dust generation signal;
the fog gun mechanism 200 is used for performing spray dust reduction on a dust source site;
and the central control mechanism 300 is in signal connection with the image acquisition mechanism 100 and the fog gun mechanism 200 respectively, and is used for receiving a dust generation signal sent by the image acquisition mechanism 100 and sending a driving signal to the fog gun mechanism 200 to drive the fog gun mechanism 200 to perform spraying and dust reduction.
In a preferred embodiment, the image capturing mechanism 100 includes a eagle eye capturing module 110 and an image transmission module 120, the eagle eye capturing module 110 is in signal connection with the image transmission module 120, and the eagle eye capturing module 110 is configured to capture a dust generation situation of a dust source site and send a dust generation signal to the central control mechanism 300 via the image transmission module 120.
Further preferably, the eagle eye capturing module 110 is selected from one of a camera, a video camera or a web camera. The camera or the network camera takes a snapshot of the dust image. The camera captures a dust-producing video.
Specifically, the camera is a German Basler Aca4600-7gc 14MP color camera matched with a ComputarM M2518-MPW 225 mm lens, and the performance parameters are as follows: maximum image size 4608 × 3288, frame rate 7fps, and interface GigE or PoE.
Specifically, the camera is a Haikang DS-2CD3T56WD-I3 remote monitoring camera, and the performance parameters of the camera are as follows: the maximum image size is 2560 × 1920, the frame rate is 20fps, and the interface is GigE or PoE.
Specifically, the network camera adopts a Balser Pylon4.NET SDK or Haikang CH-HCNetSDKV5.3.5.46Win64SDK development kit. The network camera can communicate through a preset IP address, remotely log in through a preset user name and a preset password, and also remotely set configuration parameters of the network camera, such as resolution, ROI (region of interest), frame rate and the like, and can trigger snapshot or real-time code stream preview through a network.
Further preferably, the image transmission module 120 is a fiber switch, which is commercially available. Can be used for transmitting the eagle eye snapshot module 110 to snapshot dust-producing images or camera shooting dust-producing videos to the central control mechanism 300.
In a preferred embodiment, the fog gun mechanism 200 includes the following components:
the cylinder spraying module 210 is used for spraying and dedusting a dust source on site;
the high-pressure water pump module 220 is connected with the cylinder spraying module 210, the high-pressure water pump module 220 is in signal connection with the central control mechanism 300, and the high-pressure water pump module 220 is used for receiving a driving signal sent by the central control mechanism 300 and supplying water to the cylinder spraying module 210 so as to drive the cylinder spraying module 210 to spray and reduce dust;
the servo motor module 230 is connected with the cylinder spraying module 210, the servo motor module 230 is in signal connection with the central control mechanism 300, and the servo motor module 230 is used for receiving a driving signal sent by the central control mechanism 300 and then driving the cylinder spraying module 210 to rotate on a dust source site and adjusting a spraying angle.
Further preferably, the cylinder spraying module 210 includes a centrifugal fan, a fog gun cylinder and an atomizing nozzle, and the atomizing nozzle and the centrifugal fan are respectively located at two sides of the fog gun cylinder and are communicated with each other through the fog gun cylinder.
More preferably, the diameter of the mist sprayed out of the cylinder spraying module 210 is 10 to 30 μm. More preferably, the diameter of the spray droplets discharged from the atomizing nozzle is 10 to 30 μm. Compared with the spray particle size of a commercially available fog gun of 50-100 microns, the average fog drop particle size sprayed by the fog gun which is autonomously developed by BME is smaller, and the method is more favorable for adsorbing fine dust particles such as PM2.5 and PM10, instantly adsorbing the dust particles escaping from the air by turbocharging, and depositing the dust particles to the ground along with the fog drops.
Further preferably, the spraying distance of the cylinder spraying module 210 is 40-80m, preferably 60 m. Even more preferably, the spray distance of the atomizing nozzle is 40-80m, preferably 60 m. Due to the secondary energy efficiency of the fan motor, the characteristic of longer jet distance under the same particle size can be realized.
Further preferably, the high pressure water pump module 220 is a plunger pump.
Further preferably, the water supply pressure of the high pressure water pump module 220 is 0.4-0.8MPa, and the flow rate is 1.5-5m3/h。
Further preferably, the servo motor module 230 uses a direct current motor as a steering motor of the cylinder spraying module 210, and uses an encoder drive as a driving mode of the cylinder spraying module 210. Still further preferably, the servo motor module adopts a direct current motor as a steering motor of the fog gun barrel, and adopts an encoder drive as a driving mode of the fog gun barrel.
Specifically, the deviation of the angular positioning value of the servo motor module 230 is < ± 2%. And a direct current motor is adopted, so that the designated angle can be accurately and quickly positioned.
Specifically, the horizontal rotation angle of the servo motor module 230 is 0 to 350 °, and preferably 340 °.
In a preferred embodiment, the centering mechanism 300 includes the following components:
the image processing module 320 is in signal connection with the image acquisition mechanism 100, and is used for receiving the dust generation signal sent by the image acquisition mechanism 100, analyzing the dust generation signal, and sending an analysis result signal;
an I/O module 330 for inputting control signals;
and the program control module 310 is in signal connection with the image processing module 320, the I/O module 330 and the fog gun mechanism 200 respectively, and is configured to receive the analysis result signal sent by the image processing module 320 and the control signal sent by the I/O module 330, and send a driving signal to the fog gun mechanism 200.
Further preferably, the image processing module 320 is in signal connection with the image transmission module 120, and is configured to receive the dust generation signal sent by the image transmission module 120, analyze the dust generation signal, and send an analysis result signal.
Further preferably, the program control module 310 is in signal connection with the image processing module 320, the I/O module 330, the high-pressure water pump module 220, and the servo motor module 230, respectively, and is configured to receive the analysis result signal sent by the image processing module 320 and the control signal sent by the I/O module 330, and send a driving signal to the high-pressure water pump module 220 and the servo motor module 230.
Further preferably, the computer where the program control module 310 is located is an industrial PC, and the performance parameters are: the Windows 7Pro operating system, double Intel Xeon E5-2630v4CPU, EB-X10 mainboard, 32G memory, 128G SSD +1TB HDD hard disk, GeForce GTX 1660Ti 6GB GPU independent display card, 6-Port POE Gigabit network server.
Further preferably, the image processing module 320 is image recognition software.
Specifically, the software environment of the image recognition software is: the system comprises an OpenCV software library, an Emgu software development environment, Cuda 8.0 supporting software, a Caffe deep learning target detection framework, an Easy Darwin streaming media server framework and an FfmpegSDK software development kit.
Specifically, the image recognition software comprises a video moving object detection software module based on time domain variance analysis, a video moving object tracking software module, a vehicle recognition software module based on deep learning, a vehicle size evaluation software module based on variation segmentation and accurate positioning and a dust plume recognition module. Thereby tracking and identifying the dust.
Those skilled in the art will appreciate that the above-mentioned processes of calculating, comparing, determining, and outputting instructions of the program control module 310 and the image processing module 320 can be implemented by using integrated circuit modules, programmable logic devices, other hardware, or installing corresponding software modules in the prior art.
Further preferably, the program control module 310 drives a servo motor module for driving the cylinder spraying module 210 to rotate at the dust source site and adjusting the spraying angle. The barrel spraying module 210 is controlled to rotate and the spraying angle is adjusted to realize the tracking spraying function of the fog gun.
The time domain analysis of variance algorithm detects potential motion points and spatial domain analysis of variance to suppress false detection due to camera shake. The time domain variance variation under different calibers provides an adaptive detection threshold and low-noise moving object segmentation. The moving target detection method does not need complex background modeling, has small storage requirement and excellent calculation, and is particularly suitable for detecting small targets in a noise environment.
Specifically, the time domain analysis of variance algorithm is calculated according to formula (1), where formula (1) is:
Figure BDA0002352822170000071
wherein σ2(i,j,k)The temporal variance at point (i, j) for image k; s2(i,j,k)A target pixel at point (i, j) for image k; mu.s(ij,k)Is the clutter pixel at point (i, j) for image k.
Further, said S2(i,j,k)Calculating according to formula (2), when k is 1, the S2(i,j,k)The calculation is carried out according to the formula (3),
the formula (2) is:
Figure BDA0002352822170000081
wherein S is2(i,j,k)A target pixel at point (i, j) for image k; f. of(i,j,k)Is the gray value of image k at point (i, j); l is a time domain parameter; s2(i,j,k-1)Target pixel at point (i, j) for image k-1;
the formula (3) is:
Figure BDA0002352822170000082
wherein S is2(i,j,1)Target pixel at point (i, j) for starting image 1; f. of(i,j,1)The gray value of the starting image 1 at point (i, j).
Further, the μ(i,j,k)Calculating according to formula (4), when k is 1, the S2(i,j,k)The calculation is carried out according to the formula (5),
the formula (4) is:
Figure BDA0002352822170000083
wherein, mu(i,j,k)A clutter pixel at point (i, j) for image k; f. of(i,j,k)Is the gray value of image k at point (i, j); l is a time domain parameter; mu.s(i,j,k-1)Clutter pixels at point (i, j) for image k-1;
the formula (5) is:
μ(i,j,1)=f(i,j,1)
wherein, mu(i,j,1)Clutter pixels at point (i, j) for the starting image 1; f. of(i,j,1)The gray value of the starting image 1 at point (i, j).
Specifically, when σ2(i,j,k)When formula (6) is satisfied, the target point is identified as the motion target point, and formula (6) is:
σ2(i,j,k)≥Max(T,σ2(i,j,k-1)),
wherein σ2(i,j,k)The temporal variance at point (i, j) for image k; t is a threshold parameter; σ2(i,j,k-1)Is the temporal variance of image k-1 at point (i, j).
The T as a threshold parameter depends on the image quality, the camera motion, the background noise level.
Further preferably, the I/O module 330 is a keyboard or a touch screen. The I/O module 330 may input or modify the relevant parameter thresholds and write a language program or the like.
The invention provides a use of a spraying device with an eagle eye monitoring function in a stockpile greenhouse.
Example 1
The spraying device with the eagle eye monitoring function is arranged in a stockpile greenhouse to inhibit and treat the unorganized dust. In particular to a material pile loading and unloading area, a feeding port and the like of a material pile greenhouse.
In the loading and unloading, material piling and taking processes of the material piling greenhouse, the operation actions of tools such as a truck, a forklift, a stacker or a traveling crane can be quickly captured by the eagle eye capturing module 110 in the image acquisition mechanism 100, the dust source site is captured or photographed, and captured images or videos are uploaded to the image processing module 320 of the central control mechanism 300 through the image transmission module 120. The image processing module 320 analyzes the image and sends the analysis result to the program control module 310, and the program control module 310 outputs a driving signal to the high pressure water pump module 220 and the servo motor module 230 of the fog gun mechanism 200 according to the analysis result. The high pressure water pump module 220 supplies water to the barrel spraying module 210 after receiving the driving signal to realize the spraying function, and the servo motor module 230 drives the barrel spraying module 210 to rotate on the dust source site and adjust the spraying angle after receiving the driving signal to realize the automatic tracking function of the target. And the relevant parameter threshold value can be input or modified and a language program or the like can be written through the I/O module 330.
The barrel spraying module 210 is powered by an aviation impeller with low power consumption and reliable performance, the effective spraying distance can reach 60 meters, an European imported direct current motor can be used for accurately and quickly positioning a designated angle, the water consumption is only 1/3-1/2 of the traditional fog gun, the particle size distribution of fog drops is 10-30 microns, the adsorption and sedimentation rate of micro particles such as PM2.5 and PM10 is high, the barrel spraying module is very suitable for the dust production environment of a stockpile greenhouse, and the effect is obvious.
The program control module 310 drives the servo motor module 230 to drive the cylinder spraying module 210 to rotate on the dust source site and adjust the spraying angle, and a time domain hot gas variance analysis algorithm is adopted for analysis.
The key parameters in the moving object detection module are L in the time domain and a threshold T. Due to the fact that the resolutions of different positions are inconsistent due to the inclination of the camera angle, two pixel blocks of 2 pixels by 2 pixels are respectively selected, and spatial position information is calculated through a camera positioning and calibrating algorithm, as shown in tables 1 and 2.
As can be seen from Table 1, the 1 st pixel block is converted into physical space coordinates (width: 0.08m and height: 0.3m in physical space).
TABLE 1
Figure BDA0002352822170000101
As can be seen from Table 2, the 2 nd pixel block is converted into physical space coordinates (width: 0.035m, height: 0.06m of the corresponding physical space).
TABLE 2
Figure BDA0002352822170000102
Comparative example 1
At present, the dust suppression mode of spraying in the existing stockpile greenhouse is as follows:
the existing spraying dust suppression mode in the material pile greenhouse is that the interior of the material pile greenhouse is generally treated by adopting the linkage of a conventional fog gun and a dust concentration monitor, and when the dust concentration monitor detects that the dust concentration in the material pile greenhouse reaches a preset threshold upper limit (such as 8 mg/m)3Or 10mg/m3) When the dust suppression agent is used, starting a fog gun to spray and suppress dust; when the dust concentration monitor detects that the dust concentration in the material shed is lower than the lower limit of the preset threshold (such as 2 mg/m)3) Stopping spraying by the fog gun; the linkage treatment mode is usually carried out when dust is generated and diffused into the whole material shed and reaches a certain concentration, and the treatment has obvious hysteresis. Meanwhile, when the existing fog gun is started, the spraying mode is to horizontally rotate and spray in a reciprocating mode according to a preset program, a dust-producing target cannot be accurately tracked to spray, the treatment effect is often poor, and a large amount of water resources are wasted.
Comparing example 1 with comparative example 1, it can be seen that the spraying device with eagle eye monitoring function in the present invention has the following significant advantages compared with the prior art:
1) according to the invention, the eagle eye snapshot module 110 is utilized to quickly capture the operation behaviors of a forklift, a truck, a stacker-reclaimer and the like in the material storage area, the advanced image recognition software carried by the image processing module 320 is used for intelligently recognizing and judging whether the captured operation behaviors belong to dust production behaviors or not and automatically snapshotting dust smoke plumes of the operation behaviors, and the recognition accuracy is up to more than 99%.
2) According to the dust production information identified by the image processing module 320, the program control module 310 is used for intelligently controlling the fog gun mechanism 200 to automatically start and track the working vehicle and the dust plume for spraying and dust reduction, so that accurate dust suppression is performed at the dust production source, the dust diffusion is reduced to the maximum extent, the treatment cost is greatly saved, and the remarkable effects of energy conservation and emission reduction are achieved.
3) The average droplet particle size of the fog gun mechanism 200 adopted by the invention is 10-30 μm, and the average droplet particle size of the traditional fog gun is 50-100 μm, so that the average droplet particle size of the fog gun mechanism 200 adopted by the invention is greatly reduced compared with the average droplet particle size of the traditional fog gun, and the removal rate of fine particle dust such as PM10, PM2.5 and the like can be greatly improved.
Therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.

Claims (10)

1. A spraying device with an eagle eye monitoring function is characterized by comprising the following components:
the system comprises an image acquisition mechanism (100), a data acquisition unit and a data processing unit, wherein the image acquisition mechanism (100) is used for identifying the dust generation condition of a dust source site in the stockpile greenhouse and sending a dust generation signal;
the fog gun mechanism (200) is used for performing spray dust reduction on a dust source site;
and the central control mechanism (300) is in signal connection with the image acquisition mechanism (100) and the fog gun mechanism (200) respectively, is used for receiving a dust generation signal sent by the image acquisition mechanism (100), and sends a driving signal to the fog gun mechanism (200) to drive the fog gun mechanism (200) to spray and reduce dust.
2. The spraying device with the eagle eye monitoring function according to claim 1, wherein the image acquisition mechanism (100) comprises a eagle eye snapshot module (110) and an image transmission module (120), the eagle eye snapshot module (110) is in signal connection with the image transmission module (120), and the eagle eye snapshot module (110) is used for acquiring dust generation conditions of a dust source site and sending a dust generation signal to the central control mechanism (300) through the image transmission module (120).
3. The spraying device with the eagle eye monitoring function according to claim 2, wherein the eagle eye capturing module (110) is selected from one of a camera, a video camera or a web camera; the image transmission module (120) is a fiber switch.
4. The spraying device with the eagle eye monitoring function according to claim 1, characterized in that the fog gun mechanism (200) comprises the following components:
the cylinder spraying module (210) is used for spraying and dedusting a dust source on site;
the high-pressure water pump module (220) is connected with the cylinder spraying module (210), the high-pressure water pump module (220) is in signal connection with the central control mechanism (300), and the high-pressure water pump module (220) is used for receiving a driving signal sent by the central control mechanism (300) and supplying water to the cylinder spraying module (210) so as to drive the cylinder spraying module (210) to perform spray dust reduction;
the dust source spraying device comprises a servo motor module (230), the servo motor module (230) is connected with a cylinder spraying module (210), the servo motor module (230) is in signal connection with a central control mechanism (300), and the servo motor module (230) is used for receiving a driving signal sent by the central control mechanism (300) and then driving the cylinder spraying module (210) to rotate on a dust source site and adjusting a spraying angle.
5. The spraying device with the eagle eye monitoring function according to claim 4, wherein the barrel spraying module (210) comprises a centrifugal fan, a fog gun barrel and an atomizing nozzle, and the atomizing nozzle and the centrifugal fan are respectively located on two sides of the fog gun barrel and are communicated with each other through the fog gun barrel.
6. The spraying device with the eagle eye monitoring function according to claim 5, wherein the diameter of the sprayed mist of the cylinder spraying module (210) is 10-30 μm; the spraying distance of the cylinder spraying module (210) is 40-80 m.
7. The spraying device with the eagle eye monitoring function according to claim 5, characterized in that the high-pressure water pump module (220) is a plunger pump; the water supply pressure of the high-pressure water pump module (220) is 0.4-0.8MPa, and the flow rate is 1.5-5m3/h。
8. A spraying device with eagle eye monitoring function according to claim 1, characterized in that the central control mechanism (300) comprises the following components:
the image processing module (320) is in signal connection with the image acquisition mechanism (100) and is used for receiving the dust generation signal sent by the image acquisition mechanism (100), analyzing the dust generation signal and sending an analysis result signal;
an I/O module (330), the I/O module (330) for inputting a control signal;
and the program control module (310) is in signal connection with the image processing module (320), the I/O module (330) and the fog gun mechanism (200) respectively, and is used for receiving the analysis result signal sent by the image processing module (320) and the control signal sent by the I/O module (330) and sending a driving signal to the fog gun mechanism (200).
9. The spraying device with the eagle eye monitoring function according to claim 8, wherein the I/O module (330) is a keyboard or a touch screen.
10. Use of a spraying device with an eagle eye monitoring function according to any one of claims 1 to 9 in a windrow shed.
CN201911423054.8A 2019-12-31 2019-12-31 Spraying device with eagle eye monitoring function and application thereof Pending CN111131791A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201911423054.8A CN111131791A (en) 2019-12-31 2019-12-31 Spraying device with eagle eye monitoring function and application thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911423054.8A CN111131791A (en) 2019-12-31 2019-12-31 Spraying device with eagle eye monitoring function and application thereof

Publications (1)

Publication Number Publication Date
CN111131791A true CN111131791A (en) 2020-05-08

Family

ID=70507854

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201911423054.8A Pending CN111131791A (en) 2019-12-31 2019-12-31 Spraying device with eagle eye monitoring function and application thereof

Country Status (1)

Country Link
CN (1) CN111131791A (en)

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113351397A (en) * 2021-06-04 2021-09-07 中国神华能源股份有限公司哈尔乌素露天煤矿研究院 Fog gun device capable of automatically adjusting spraying amount along with dust concentration change
CN113709350A (en) * 2021-09-09 2021-11-26 郑州博朗鸿智信息科技有限公司 AI intelligence dust fall system
CN113928878A (en) * 2021-11-08 2022-01-14 北京牧之科技有限公司 Intelligent cloud and mist spraying dust suppression system and method for train unloading warehouse
CN114054430A (en) * 2021-11-11 2022-02-18 曹红亮 Based on dust shaker for on-spot safety control of afforestation
CN115121075A (en) * 2022-06-20 2022-09-30 浙江聚优建筑工程有限公司 Air-assisted micro-mist system and method
CN115253574A (en) * 2022-07-15 2022-11-01 黄山市科美环境科技有限公司 Intelligent automatic humidifying device for eagle eye
CN117392139A (en) * 2023-12-13 2024-01-12 德龙软件科技(天津)有限公司 Dust suppression system based on technical field of computer vision processing

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109151384A (en) * 2018-07-22 2019-01-04 绿山高科建设科技有限公司 A kind of the depositing dust monitoring system and its dust-removing method in construction site

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109151384A (en) * 2018-07-22 2019-01-04 绿山高科建设科技有限公司 A kind of the depositing dust monitoring system and its dust-removing method in construction site

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113351397A (en) * 2021-06-04 2021-09-07 中国神华能源股份有限公司哈尔乌素露天煤矿研究院 Fog gun device capable of automatically adjusting spraying amount along with dust concentration change
CN113709350A (en) * 2021-09-09 2021-11-26 郑州博朗鸿智信息科技有限公司 AI intelligence dust fall system
CN113928878A (en) * 2021-11-08 2022-01-14 北京牧之科技有限公司 Intelligent cloud and mist spraying dust suppression system and method for train unloading warehouse
CN113928878B (en) * 2021-11-08 2022-06-17 北京牧之科技有限公司 Intelligent cloud and mist spraying dust suppression system and method for train unloading warehouse
CN114054430A (en) * 2021-11-11 2022-02-18 曹红亮 Based on dust shaker for on-spot safety control of afforestation
CN115121075A (en) * 2022-06-20 2022-09-30 浙江聚优建筑工程有限公司 Air-assisted micro-mist system and method
CN115253574A (en) * 2022-07-15 2022-11-01 黄山市科美环境科技有限公司 Intelligent automatic humidifying device for eagle eye
CN117392139A (en) * 2023-12-13 2024-01-12 德龙软件科技(天津)有限公司 Dust suppression system based on technical field of computer vision processing

Similar Documents

Publication Publication Date Title
CN111131791A (en) Spraying device with eagle eye monitoring function and application thereof
CN111054162A (en) Dust suppression system applied to material pile greenhouse
CN111530203B (en) Intelligent dust measurement and control system and dust suppression and dust fall method thereof
CN103089291B (en) A kind of Mine Dust pollution evaluation based on image and spray for dust suppression linked system
CN102307297A (en) Intelligent monitoring system for multi-azimuth tracking and detecting on video object
CN106254836A (en) Unmanned plane infrared image Target Tracking System and method
KR20120094186A (en) Fire fighting system and method
CN212141899U (en) Dust suppression system applied to material pile greenhouse
CN113351397A (en) Fog gun device capable of automatically adjusting spraying amount along with dust concentration change
CN105973771A (en) Submerged arc furnace smelting ferrochromium pellet particle size measurement device and method
CN210867972U (en) Spraying device with eagle eye monitoring function
CN105561711A (en) Intelligent environment-friendly spraying dust removal device
CN108900758A (en) A kind of the Intelligent human-face candid camera and its face snap method of the cooperation of rifle ball
CN105678805B (en) Object detection system of taking photo by plane based on ARM platform
CN201403142Y (en) Conference-type locked tracking camera system
CN202231803U (en) Intelligent monitoring system for multi-aspect video object tracking detection
WO2022041014A1 (en) Gimbal and control method and device therefor, photographing apparatus, system, and storage medium thereof
CN101726265A (en) Online detection method of parallelism of spring by machine vision system
CN108097504A (en) A kind of intelligence spraying equipment
Koceski et al. Vision-based gesture recognition for human-computer interaction and mobile robot's freight ramp control
CN104456474A (en) Intelligent spot following machine and spot following system thereof
CN111054163B (en) Double-fluid fog gun and application thereof
CN208303054U (en) A kind of fully-automatic coating device
CN211836946U (en) Double-fluid fog gun
CN109227537A (en) A kind of components method for sorting based on machine vision

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
CB02 Change of applicant information

Country or region after: China

Address after: 200336 west side of building 6, 1055 Fuhai Road, Jiading Industrial Zone, Jiading District, Shanghai

Applicant after: Baimei Smart Technology (Shanghai) Co.,Ltd.

Address before: 200336 west side of building 6, 1055 Fuhai Road, Jiading Industrial Zone, Jiading District, Shanghai

Applicant before: BME ENVIRONMENTAL TECHNOLOGY (SHANGHAI) Co.,Ltd.

Country or region before: China

CB02 Change of applicant information