CN113770145A - Self-feedback cleaning device and method for tunnel camera - Google Patents
Self-feedback cleaning device and method for tunnel camera Download PDFInfo
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- CN113770145A CN113770145A CN202111179823.1A CN202111179823A CN113770145A CN 113770145 A CN113770145 A CN 113770145A CN 202111179823 A CN202111179823 A CN 202111179823A CN 113770145 A CN113770145 A CN 113770145A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B08—CLEANING
- B08B—CLEANING IN GENERAL; PREVENTION OF FOULING IN GENERAL
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B08—CLEANING
- B08B—CLEANING IN GENERAL; PREVENTION OF FOULING IN GENERAL
- B08B3/00—Cleaning by methods involving the use or presence of liquid or steam
- B08B3/02—Cleaning by the force of jets or sprays
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Abstract
A self-feedback cleaning device and a method for a tunnel camera belong to the technical field of camera cleaning. The automatic cleaning device comprises a flange plate, a telescopic mechanism, a connector, a cleaning spray nozzle, a water supply hose, a terminal controller and a water tank, wherein the flange plate is connected with the telescopic mechanism, the connector connects the telescopic mechanism, the water supply hose and the cleaning spray nozzle, and the water supply hose is led out from the water tank. According to the self-feedback cleaning device for the tunnel camera, whether cleaning is needed or not is judged through the identification of the monitoring image, and automatic cleaning is realized through the terminal cleaning device; the telescopic mechanism can avoid the shielding of the cleaning device on the camera in a non-cleaning state; this device can be installed on present most rifle type cameras, is convenient for reequip current supervisory equipment. Generally, the cleaning efficiency, safety and real-time performance are improved, the cleaning frequency can be adjusted according to the pollution degree of the lens, and the definition of a monitored image is ensured.
Description
Technical Field
The invention relates to the technical field of camera cleaning, in particular to a self-feedback cleaning device and a self-feedback cleaning method for a tunnel camera.
Background
With the continuous development of the highway construction industry, tunnel roads are more and more, compared with common roads, the traffic capacity and traffic safety are objectively poor, so that monitoring management needs to be strengthened, a camera arranged in a tunnel is the most common means for traffic management and road condition monitoring at present, and the basic guarantee for realizing the monitoring function is to keep the lens clean. Because space and illumination intensity all receive the restriction in the tunnel, and its environment is airtight relatively, and automobile exhaust and dust pollution are more serious, and the pollutant adheres to and can cause the interference to the tunnel control on the camera lens, consequently needs belt cleaning device to keep the cleanliness of camera lens, realizes the control of tunnel operation. At present, a method for manually cleaning a tunnel camera by carrying an operator on an overhead working truck is mostly adopted for a mode of treating pollution of a tunnel camera lens. Because the installation height of the camera is higher and the working environment in the tunnel is severe, the personal safety of cleaning personnel can be harmed by manual cleaning; the lens is cleaned manually, whether the lens is cleaned or not can be judged only from the appearance, and the cleaning effect is difficult to guarantee; the manual cleaning efficiency is low, the cleaning frequency cannot be determined according to the lens pollution state, and the real-time performance is poor; in addition, the existing modes need a mode of closing a tunnel lane, and the traffic efficiency is disturbed.
A patent (a camera cleaning robot, 202011181389.6) disclosed in the prior art is a hand-held cleaning device, has elevating system, has improved abluent security and convenience, and the cleaning performance relies on artificial experience, can't carry out difference according to the pollution degree of camera lens and handle. A patent (a camera with self-cleaning function and self-cleaning method thereof, 202010805892.8) integrates a cleaning device in the lens, which improves the convenience of cleaning, but needs to replace the whole camera, which greatly increases the cost. One patent (camera washing, 202010371912.5) installs washing assembly and water tank on the monitoring pole to realize remote control, but the installation of device relies on the monitoring pole, needs certain installation condition, is difficult to implement in the tunnel to can't carry out self-cleaning according to the camera lens pollution state. The conventional lens cleaning mode lacks a cleaning device and a cleaning method aiming at the special working condition of the tunnel, and a self-feedback cleaning device and a self-feedback cleaning method for the tunnel camera, which have the advantages of high efficiency, good real-time performance and high safety, are urgently needed.
Disclosure of Invention
Aiming at the defects of the existing cleaning mode, the invention aims to provide a self-feedback cleaning device and a self-feedback cleaning method for a tunnel camera, and solves the problems of low cleaning efficiency, unsafe personnel and poor real-time performance of the tunnel camera in the existing cleaning means.
In a first aspect, the invention provides a self-feedback cleaning device for a tunnel camera, which has the following specific technical scheme:
it is characterized by comprising a flange plate, a telescopic mechanism, a connector, a rubber pipe, an electromagnetic directional valve, a cleaning nozzle, a terminal controller, a first water tank, a second water tank, a first water supply hose and a second water supply hose, a support frame is fixedly arranged in a tunnel, a camera mounting bracket is fixedly connected with the support frame, a camera is fixedly connected with the camera mounting bracket, the telescopic mechanism is fixedly connected with the camera mounting bracket through the flange plate, the terminal controller is fixedly connected with the camera mounting bracket, the telescopic mechanism is fixedly connected with the connector through threads, the water inlet of the first water supply hose and the water inlet of the first water supply hose are respectively and fixedly connected with the second water tank of the first water tank, the cleaning spray head is connected with the connector in a socket joint mode, and the water outlet of the first water supply hose and the water outlet of the second water supply hose are respectively connected with the connector in a socket joint mode.
Preferably, a rubber pipe which is glued is arranged in the connector and is used for connecting the cleaning spray head, the first water supply hose and the second water supply hose.
Preferably, the water outlet of the first water supply hose and the water outlet of the second water supply hose are provided with metal heads, so that the first water supply hose and the second water supply hose are conveniently connected with the connector in a socket-and-spigot manner.
Preferably, the tail end of the cleaning nozzle is provided with three outflow holes, and the water pipe of the cleaning nozzle is bent upwards at a bending angle of 90-135 degrees.
Preferably, the cleaning nozzle and the water supply hose are detachable from the connector for replacement.
Preferably, the terminal controller has a waterproof protective case.
In a second aspect, the present application provides a self-feedback cleaning method for a tunnel camera, where the method includes:
the method comprises the steps that firstly, when a lens is clean, a tunnel camera monitoring image is obtained, a target detection model of deep learning is used for judging whether a vehicle exists in the image, and if the vehicle does not exist, the image at the moment is used as a standard background; if the vehicle exists, continuously acquiring the monitoring image until no vehicle exists;
secondly, storing the gray value of each pixel point of the background image for later comparison;
thirdly, collecting a monitoring image according to preset time, and carrying out mean value operation on all difference values by taking the difference between the pixel value of the image and the pixel value of the background image;
step four, comparing the average value obtained in the step three with a preset pollution threshold value, wherein if the average value is higher than the threshold value, the pollution influences the monitoring, otherwise, the pollution is light;
fifthly, if the monitored image is influenced by pollution, judging whether the cleaning time is sufficient according to the driving condition in the tunnel, if no vehicle passes through the camera within the necessary cleaning time, starting a cleaning device to clean the lens, otherwise, temporarily not cleaning, and cleaning again after waiting for no vehicle to pass; if the lens is not polluted, the lens is not cleaned at this time.
Compared with the prior art, the invention has the beneficial effects that:
(1) the camera lens cleaning degree judging method based on the camera images is provided for the characteristic that the tunnel background does not change much, real-time processing can be carried out on the pollution condition of the camera on the basis of timing cleaning, the cleaning degree of the camera lens is guaranteed, and meanwhile manual participation is not needed in the whole process.
(2) The cleaning device is provided with the telescopic mechanism, when the controller does not receive a cleaning signal, the cleaning nozzle is in a retracted state, the monitoring effect is not influenced, and the telescopic mechanism drives the cleaning nozzle to extend out when cleaning is needed, so that the effective cleaning area can cover the whole lens, and the cleaning effect and the camera monitoring function are ensured.
(3) This device need not change camera inner structure, and independent work just needs installation space enough, just can adapt to most rifle type cameras, can reequip current equipment and need not to replace and have had the camera, reduces repacking expense.
Drawings
FIG. 1 is a schematic view of a cleaning apparatus.
Fig. 2 is a schematic view of the installation position of the cleaning apparatus.
Fig. 3 is a three-dimensional view of the connector.
Fig. 4 is a schematic view of the end of the cleaning head.
Fig. 5 is a camera self-feedback cleaning flow chart.
FIG. 6 is a schematic diagram of a cleaning sequence determining method.
Reference numerals: the method comprises the following steps of 1-a flange plate, 2-a telescopic mechanism, 3-a connector, 301-a rubber pipe, 302-an electromagnetic directional valve, 4-a cleaning spray head, 5-a terminal controller, 6-a first water tank, 7-a second water tank, 8-a second water supply hose, 9-a first water supply hose, 10-a support frame, 11-a camera mounting support and 12-a camera.
The present invention will be explained in further detail with reference to examples.
Detailed Description
The following embodiments of the present invention are provided, and it should be noted that the present invention is not limited to the following embodiments, and all equivalent changes based on the technical solutions of the present invention are within the protection scope of the present invention.
On one hand, the embodiment provides a self-feedback cleaning device for a tunnel camera, as shown in fig. 1-3, which includes a flange plate 1, a telescopic mechanism 2, a connector 3, a rubber tube 301, an electromagnetic directional valve 302, a cleaning nozzle 4, a terminal controller 5, a first water tank 6, a second water tank 7, a second water supply hose 8 and a first water supply hose 9, a support frame 10 is fixedly installed in a tunnel, a camera mounting bracket 11 is fixedly connected with the support frame 10, a camera 12 is fixedly connected with the camera mounting bracket 11, the telescopic mechanism 2 is fixedly connected with the camera mounting bracket 11 through the flange plate 1, the terminal controller 5 is fixedly connected with the camera mounting bracket, the telescopic mechanism is fixedly connected with the connector 3 through a thread 2, a water inlet of the second water supply hose 8 and a water inlet of the first water supply hose 9 are respectively fixedly connected with the first water tank 6 of the second water tank 7, the cleaning spray head 4 is connected with the connector 3 in a socket-and-spigot manner, and the water outlet of the second water supply hose 8 and the water outlet of the first water supply hose 9 are connected with the connector 3 in a socket-and-spigot manner.
The support frame 10, the mounting frame 11 and the camera 12 are original structures in the tunnel, and the main device of the tunnel is mounted on the basis of the original structures.
The camera mounting structure comprises a flange plate 1 and a camera mounting support 11, wherein the flange plate 1 is provided with a through hole, a blind hole is formed in the position corresponding to the camera mounting support 11, and the flange plate 1 and the camera mounting support 11 are fixedly connected through bolts.
The telescopic mechanism 2 is a parallel electric cylinder, the motor and the cylinder body are respectively arranged on the flange plate 1 in parallel, as shown in fig. 3, a threaded hole is arranged in the connector 3, and the front end of a push rod of the electric cylinder is fixedly connected with the connector 3 through threads.
As shown in fig. 3, the connector 3 is fixed to the rubber tube 301, the metal heads of the second water supply hose 8 and the first water supply hose 9 are connected to the rubber tube 301, and the water inlet of the cleaning nozzle 4 is connected to the rubber tube 301.
As shown in fig. 4, the end of the cleaning nozzle 4 has 3 water outlet holes.
Wherein, the first water tank 6 and the second water tank 7 are internally provided with water pumps, the first water tank 6 is internally provided with pollutant reactant, and the second water tank 7 is internally provided with clear water.
As shown in fig. 2, the first water tank 6 and the second water tank 7 are installed on the inner wall of one side of the tunnel, and have a certain height, so that the influence on the same row of the sidewalk of the tunnel is avoided. The first water supply hose 9 and the second water supply hose 8 are fixed in the tunnel through fixing buckles and the like.
Wherein the second water tank 6 can be eliminated as an alternative to the second water supply hose 8 being connected to the water supply line in the tunnel and a water pump being installed to provide the cleaning water pressure, because the water supply line is provided in the tunnel.
On the other hand, the embodiment provides a self-feedback cleaning method for a tunnel camera, which comprises the following steps:
the method comprises the steps that firstly, when a lens is clean, a tunnel camera monitoring image is obtained, a target detection model of deep learning is used for judging whether a vehicle exists in the image, and if the vehicle does not exist, the image at the moment is used as a standard background; if the vehicle exists, continuously acquiring the monitoring image until no vehicle exists;
secondly, storing the gray value of each pixel point of the background image for later comparison;
thirdly, collecting a monitoring image according to preset time, and carrying out mean value operation on all difference values by taking the difference between the pixel value of the image and the pixel value of the background image;
step four, comparing the average value obtained in the step three with a preset pollution threshold value, wherein if the average value is higher than the threshold value, the pollution influences the monitoring, otherwise, the pollution is light;
fifthly, if the monitored image is influenced by pollution, judging whether the cleaning time is sufficient according to the driving condition in the tunnel, if no vehicle passes through the camera within the necessary cleaning time, starting a cleaning device to clean the lens, otherwise, temporarily not cleaning, and cleaning again after waiting for no vehicle to pass; if the lens is not polluted, the lens is not cleaned at this time.
The tunnel camera monitoring images are collected from different tunnel monitoring cameras, and because the monitoring position of each tunnel monitoring camera is basically fixed, the monitoring images at the corresponding positions can be judged by using a fixed background.
The tunnel camera can master the running state of the vehicle in the tunnel through mutual linkage, so that the cleaning sequence of the camera can be adjusted at any time, the condition that no vehicle passes through the cleaning camera in the cleaning process is guaranteed, and the monitoring effect is not influenced.
It should be noted that the present invention is an automatic camera cleaning device based on image processing, where the image processing and recognition are completed by a main processor of a monitoring center, and the monitoring center can obtain the monitored image data of each camera and reversely transmit the cleaning command to the terminal cleaning device.
The cleaning process is as shown in fig. 5, before cleaning, the monitoring center collects a background monitoring picture corresponding to each camera in advance for providing contrast. When the judgment is carried out, the monitoring image of the current frame is collected, the corresponding pixel value is obtained, the difference value operation is carried out on the corresponding pixel value of the current frame and the corresponding pixel value of the background picture, the mean value of the difference value of each pixel point is taken to be compared with a set threshold value, and whether the monitoring effect is influenced by the lens pollutants is judged. Before cleaning, presetting detection time, such as once or twice detection in one day; after the device is started, the main processor sequentially collects and identifies images collected by the camera at a set time point, if passing vehicles exist in the picture, the step is repeated until no vehicle interference exists in the picture, so that the influence of the vehicles in the picture on pollutant judgment can be avoided, and the detection time is preferably set at a time point with a small traffic flow rate.
If the lens needs to be cleaned, the cleaning sequence is judged, as shown in fig. 6, the range that the vehicle passes within the necessary cleaning time can be calculated according to the current position of the certain vehicle, the time necessary for the cleaning process and the average speed of the tunnel, and if the range is overlapped with the monitoring range of a certain camera, the camera cannot start the cleaning program until no vehicle passes in the cleaning process. In fig. 6, in examples 1 to 4, the cameras 3 and 4, 1, and 2 may respectively start a cleaning program, and the cleaning process does not interfere with tunnel monitoring; if vehicles pass through the cleaning process, waiting until the conditions allow the cleaning command to be sent again.
After a cleaning command reaches a cleaning device, the terminal controller 5 controls the motor of the telescopic mechanism to rotate, the electric cylinder pushes the rod body to a designated position, then the terminal controller 5 controls the built-in water pump of the first water tank 6 to start, a pollutant reactant reaches the cleaning spray head 4 through the first water supply hose 9, under a certain water supply pressure, the pollutant reactant is sprayed out through 3 water outlet holes and has a high initial speed, reaches the camera 12 and reacts with pollutants attached to a lens, the terminal controller 5 controls the built-in water pump of the first water tank 6 to be closed 10 seconds after the start, so that the pollutant reactant keeps a proper amount, after the reaction lasts for 30 seconds, the terminal controller 5 controls the built-in water pump of the second water tank 7 to start, and clean water reaches the cleaning spray head 4 through the second water supply hose 8, under certain water supply pressure, the water is sprayed out through 3 water outlet holes and has higher initial speed, the water reaches the camera 12 and washes the lens, the terminal controller 5 controls the built-in water pump of the second water tank 7 to be closed 15 seconds after being started so as to ensure that no pollutant reactant and reaction product are left, then the terminal controller 5 controls the motor of the telescopic mechanism 2 to rotate reversely, and the cleaning nozzle 4 retracts to recover a waiting state; residual water stains on the surface of the lens of the camera are quickly gasified and disappear under the action of heat generated by the operation of the lens; after 5 minutes, the terminal controller 5 sends a rechecking signal to a monitoring center, the monitoring center processes and identifies the current image collected by the monitoring camera, if the lens pollutants still affect the monitoring process, a cleaning signal is sent again, and if the monitoring center is started to continuously receive the rechecking signal (more than or equal to 3 times) in a short time, an alarm signal is sent to inform a manager; if the quality of the monitored image is good after rechecking, the device is cleaned until the quality is good, and one-time cleaning is finished.
Claims (9)
1. A self-feedback cleaning device for a tunnel camera is characterized by comprising a flange plate, a telescopic mechanism, a connector, a rubber pipe, an electromagnetic directional valve, a cleaning spray head, a terminal controller, a first water tank, a second water supply hose and a first water supply hose, wherein a support frame is fixedly arranged in a tunnel, a camera mounting support is fixedly connected with the support frame, the camera is fixedly connected with the camera mounting support, the telescopic mechanism is fixedly connected with the camera mounting support through the flange plate, the terminal controller is fixedly connected with the camera mounting support, the telescopic mechanism is fixedly connected with the connector through threads, a water inlet of the second water supply hose and a water inlet of the first water supply hose are respectively and fixedly connected with a first water tank of the second water tank, and the cleaning spray head is in socket joint with the connector, the water outlet of the second water supply hose and the water outlet of the first water supply hose are connected with the connector in a socket joint mode.
2. The self-feedback cleaning device for the tunnel camera as claimed in claim 1, wherein the connector has a rubber tube glued therein for connecting the cleaning nozzle, the first water supply hose and the second water supply hose.
3. The self-feedback cleaning device for the tunnel camera as claimed in claim 1, wherein the water outlet of the first water supply hose and the water outlet of the second water supply hose are provided with metal heads for facilitating the socket connection with the connector.
4. The self-feedback cleaning device for the tunnel camera as claimed in claim 1, wherein the cleaning nozzle has three outflow holes at its end, and the water pipe of the cleaning nozzle is bent upward at an angle of 90 ° to 135 °.
5. The self-feedback cleaning device for the tunnel camera as claimed in claim 1, wherein the cleaning nozzle and the water supply hose are detachable from the connector for replacement.
6. The tunneling camera self-feedback cleaning device according to claim 1, wherein the terminal controller has a waterproof protective case.
7. A self-feedback cleaning method for a tunnel camera is characterized by comprising the following steps: the method comprises the steps that firstly, when a lens is clean, a tunnel camera monitoring image is obtained, a target detection model of deep learning is used for judging whether a vehicle exists in the image, and if the vehicle does not exist, the image at the moment is used as a standard background; if the vehicle exists, continuously acquiring the monitoring image until no vehicle exists; secondly, storing the gray value of each pixel point of the background image for later comparison; thirdly, collecting a monitoring image according to preset time, and carrying out mean value operation on all difference values by taking the difference between the pixel value of the image and the pixel value of the background image; step four, comparing the average value obtained in the step three with a preset pollution threshold value, wherein if the average value is higher than the threshold value, the pollution influences the monitoring, otherwise, the pollution is light; fifthly, if the monitored image is influenced by pollution, judging whether the cleaning time is sufficient according to the driving condition in the tunnel, if no vehicle passes through the camera within the necessary cleaning time, starting a cleaning device to clean the lens, otherwise, temporarily not cleaning, and cleaning again after waiting for no vehicle to pass; if the lens is not polluted, the lens is not cleaned at this time.
8. The method as claimed in claim 7, wherein the monitoring images of the tunnel cameras are collected from different tunnel monitoring cameras, and since the monitoring position of each tunnel monitoring camera is substantially fixed, the monitoring images at the corresponding positions can be determined by using a fixed background.
9. The self-feedback cleaning method for the tunnel camera as claimed in claim 7, wherein the tunnel camera can grasp the driving state of the vehicle in the tunnel through mutual linkage, so that the cleaning sequence of the camera can be adjusted at any time to ensure that no vehicle passes through the cleaning camera in the cleaning process and the monitoring effect is not influenced.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111179823.1A CN113770145A (en) | 2021-10-11 | 2021-10-11 | Self-feedback cleaning device and method for tunnel camera |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202111179823.1A CN113770145A (en) | 2021-10-11 | 2021-10-11 | Self-feedback cleaning device and method for tunnel camera |
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| CN113770145A true CN113770145A (en) | 2021-12-10 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114798553A (en) * | 2022-04-13 | 2022-07-29 | 深圳荆虹科技有限公司 | Sensor cover plate cleaning system |
| CN115382821A (en) * | 2022-08-29 | 2022-11-25 | 石家庄开发区天远科技有限公司 | Vehicle-mounted camera cleaning device and method |
-
2021
- 2021-10-11 CN CN202111179823.1A patent/CN113770145A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114798553A (en) * | 2022-04-13 | 2022-07-29 | 深圳荆虹科技有限公司 | Sensor cover plate cleaning system |
| CN115382821A (en) * | 2022-08-29 | 2022-11-25 | 石家庄开发区天远科技有限公司 | Vehicle-mounted camera cleaning device and method |
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