CN111873946A - Dual mode cleaning method utilizing large data storage - Google Patents
Dual mode cleaning method utilizing large data storage Download PDFInfo
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- CN111873946A CN111873946A CN202010193529.5A CN202010193529A CN111873946A CN 111873946 A CN111873946 A CN 111873946A CN 202010193529 A CN202010193529 A CN 202010193529A CN 111873946 A CN111873946 A CN 111873946A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60S—SERVICING, CLEANING, REPAIRING, SUPPORTING, LIFTING, OR MANOEUVRING OF VEHICLES, NOT OTHERWISE PROVIDED FOR
- B60S3/00—Vehicle cleaning apparatus not integral with vehicles
- B60S3/006—Vehicle cleaning apparatus not integral with vehicles specially adapted for railway vehicles
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Abstract
The present invention relates to a dual mode cleaning method utilizing big data storage, the method comprising using a dual mode cleaning platform utilizing big data storage to perform a selection operation of a dual mode cleaning mechanism based on a visual detection result of a head glass of a high-speed railway.
Description
Technical Field
The invention relates to the field of big data storage, in particular to a dual-mode cleaning method utilizing big data storage.
Background
The high-speed railway, called high-speed rail for short, is a railway system with high design standard grade and capable of allowing trains to run safely at high speed. The concept is not limited to tracks, let alone trains.
High-speed rails have different regulations in different countries, different generations and different scientific research academic fields. The national railway administration of China defines the high-speed railway of China as a passenger special line railway with the designed running speed per hour of more than 250 kilometers (including reservation) and the initial running speed per hour of more than 200 kilometers, and issues corresponding 'high-speed railway design specification' documents. The China national development and improvement Commission defines the China high-speed railway as a new line or an existing line railway with the standard speed of 250 km/h and above, issues a corresponding file of medium and long-term railway network planning, and brings part of track lines with the speed of 200 km/h into the category of the China high-speed railway network.
Because the high-speed rail has a high running speed, a conventional high-speed rail front stripping cleaning mechanism cannot meet the real-time requirement on data processing, and a high-speed rail front end cleaning scheme applying large data storage is needed to realize self-adaptive cleaning based on the actual condition of the high-speed rail front end.
Disclosure of Invention
In order to solve the related technical problems in the prior art, the invention provides a dual-mode cleaning platform utilizing big data storage, which can adaptively select different cleaning modes according to the running speed of a high-speed rail and the cleanliness of the head glass of the high-speed rail, execute corresponding parameter fine adjustment in a specific cleaning mode, and simultaneously introduce a big data storage mechanism to finish network side storage of key data for executing adaptive selection, thereby being capable of meeting various requirements on cleaning the head glass of the high-speed rail.
Therefore, the invention needs to have the following three key points:
(1) two different cleaning modes are introduced to select the corresponding cleaning mode according to the visual difference of the high-speed rail head glass when the high-speed rail head glass leaves a factory, so that dynamic balance is achieved between the condition that the cleaning effect is ensured and the condition that the sight line is blocked is reduced as far as possible;
(2) each cleaning mode is used for executing the fine adjustment of the internal parameters of the mode based on the current running speed of the high-speed rail, so that the intelligent level of the control of the cleaning mode is improved;
(3) the large data storage mode is referred to, and the hardware size and the storage capacity of the local storage device are reduced while the cleaning mode control precision is ensured.
According to an aspect of the present invention, there is provided a dual mode cleaning method using big data storage, the method comprising using a dual mode cleaning platform using big data storage to perform a selection operation of a dual mode cleaning mechanism based on a visual detection result of a head glass of a high-speed railway, the dual mode cleaning platform using big data storage comprising:
the fog spraying mechanism is arranged below the high-speed rail head glass and used for starting fog spraying operation on the high-speed rail head glass when receiving a first trigger command;
in the fog spraying mechanism, in the fog spraying operation of the high-speed rail head glass, the fog spraying power is in direct proportion to the current running speed of the high-speed rail;
the fog spraying mechanism is further used for stopping carrying out fog spraying operation on the high-speed rail head glass when receiving a second trigger command;
the liquid injection mechanism is arranged on the left side of the mist injection mechanism and used for starting injection operation of glass cleaning liquid of the high-speed rail head glass when receiving a second trigger command;
in the liquid injection mechanism, in the injection operation of the glass cleaning liquid of the high-speed rail head glass, the power of the glass cleaning liquid injection is in direct proportion to the current running speed of the high-speed rail;
the liquid spraying mechanism is further used for stopping spraying operation of glass cleaning liquid to the high-speed rail head glass when receiving a first trigger command;
the big data storage network element is respectively connected with the fog spraying mechanism and the liquid spraying mechanism through a network and is used for storing the mapping relation between the fog spraying power and the current running speed of the high-speed rail and the mapping relation between the glass cleaning liquid spraying power and the current running speed of the high-speed rail;
the visual analysis equipment is used for extracting a corresponding glass imaging pattern from an imaging image of the environment where the high-speed rail head glass is located based on the geometric shape of the high-speed rail head glass, and determining to send a first trigger command or a second trigger command based on the image which is shot when the high-speed rail head glass leaves a factory and only comprises the high-speed rail head glass and the difference between the glass imaging patterns;
wherein, the step of deciding to send out the first trigger command or the second trigger command based on the image which is shot when the high-speed rail head glass leaves the factory and only comprises the high-speed rail head glass and the difference size between the glass imaging patterns comprises the following steps: taking an image which is shot when the high-speed rail head glass leaves a factory and only comprises the high-speed rail head glass as a first image, and taking the glass imaging pattern as a second image;
wherein, the determining to send out the first trigger command or the second trigger command based on the image shot when the high-speed rail head glass leaves the factory and only including the high-speed rail head glass and the difference size between the glass imaging patterns further comprises: performing difference processing and difference absolute value processing on pixel values of pixel points at the same position in the first image and the second image to obtain pixel difference values of corresponding positions, when the mean value of the pixel difference values respectively corresponding to the positions is larger than a first numerical threshold and smaller than a second numerical threshold, sending a first trigger command, and when the mean value of the pixel difference values respectively corresponding to the positions is larger than or equal to the second numerical threshold, sending a second trigger command;
the visual analysis equipment is respectively connected with the mist spraying mechanism and the liquid spraying mechanism and is used for sending the first trigger command or the second trigger command to the mist spraying mechanism and the liquid spraying mechanism simultaneously.
The dual-mode cleaning method utilizing the big data storage is compact in structure and reliable in logic. Because self-adaptive selection operation is performed on the cleaning mode on the basis of big data storage, different cleaning requirements on the high-speed rail head glass under different environments are met.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic diagram of the stress of the head of the high-speed rail to which the big data processing type distribution state analysis method of the present invention is applied.
Fig. 2 is a block diagram illustrating the structure of a dual mode cleaning platform utilizing large data storage according to a first embodiment of the present invention.
Fig. 3 is a block diagram illustrating the structure of a dual mode cleaning platform utilizing large data storage, according to a second embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
In the prior art, the condition that high-speed rail head glass is polluted by various flying insects and various pollutants which cannot be avoided is more serious due to the rapid running speed of the high-speed rail head, and the requirement on safety in high-speed rail running is higher, so that the high-speed rail head glass is cleaned, the cleaning strength and the cleaning reliability are met, and the visual field requirements of different running speeds on high-speed rail drivers are also met. Clearly, there is no adaptive cleaning solution in the prior art that meets all of the above needs at the same time.
Fig. 1 is a schematic diagram of the stress of the head of a high-speed rail to which the large data processing type distribution state analysis platform of the present invention is applied.
As shown in fig. 1, under the influence of the front wind, the resistance force borne by the head of the high-speed rail can be decomposed into a lifting force, a transverse force and a longitudinal swinging force.
In order to overcome the above disadvantages, the present invention builds a dual-mode cleaning method using big data storage, which includes using a dual-mode cleaning platform using big data storage to perform a selection operation of a dual-mode cleaning mechanism based on a visual detection result of a head glass of a high-speed railway, and which can effectively solve corresponding technical problems.
The technical contents of the present invention will be further embodied by using one or more embodiments.
< first embodiment >
FIG. 2 is a block diagram illustrating the structure of a dual mode cleaning platform utilizing large data storage, according to a first embodiment of the present invention, the platform comprising:
the fog spraying mechanism is arranged below the high-speed rail head glass and used for starting fog spraying operation on the high-speed rail head glass when receiving a first trigger command;
in the fog spraying mechanism, in the fog spraying operation of the high-speed rail head glass, the fog spraying power is in direct proportion to the current running speed of the high-speed rail;
the fog spraying mechanism is further used for stopping carrying out fog spraying operation on the high-speed rail head glass when receiving a second trigger command;
the liquid injection mechanism is arranged on the left side of the mist injection mechanism and used for starting injection operation of glass cleaning liquid of the high-speed rail head glass when receiving a second trigger command;
in the liquid injection mechanism, in the injection operation of the glass cleaning liquid of the high-speed rail head glass, the power of the glass cleaning liquid injection is in direct proportion to the current running speed of the high-speed rail;
the liquid spraying mechanism is further used for stopping spraying operation of glass cleaning liquid to the high-speed rail head glass when receiving a first trigger command;
the big data storage network element is respectively connected with the fog spraying mechanism and the liquid spraying mechanism through a network and is used for storing the mapping relation between the fog spraying power and the current running speed of the high-speed rail and the mapping relation between the glass cleaning liquid spraying power and the current running speed of the high-speed rail;
the visual analysis equipment is used for extracting a corresponding glass imaging pattern from an imaging image of the environment where the high-speed rail head glass is located based on the geometric shape of the high-speed rail head glass, and determining to send a first trigger command or a second trigger command based on the image which is shot when the high-speed rail head glass leaves a factory and only comprises the high-speed rail head glass and the difference between the glass imaging patterns;
wherein, the step of deciding to send out the first trigger command or the second trigger command based on the image which is shot when the high-speed rail head glass leaves the factory and only comprises the high-speed rail head glass and the difference size between the glass imaging patterns comprises the following steps: taking an image which is shot when the high-speed rail head glass leaves a factory and only comprises the high-speed rail head glass as a first image, and taking the glass imaging pattern as a second image;
wherein, the determining to send out the first trigger command or the second trigger command based on the image shot when the high-speed rail head glass leaves the factory and only including the high-speed rail head glass and the difference size between the glass imaging patterns further comprises: performing difference processing and difference absolute value processing on pixel values of pixel points at the same position in the first image and the second image to obtain pixel difference values of corresponding positions, when the mean value of the pixel difference values respectively corresponding to the positions is larger than a first numerical threshold and smaller than a second numerical threshold, sending a first trigger command, and when the mean value of the pixel difference values respectively corresponding to the positions is larger than or equal to the second numerical threshold, sending a second trigger command;
the visual analysis equipment is respectively connected with the mist spraying mechanism and the liquid spraying mechanism and is used for sending the first trigger command or the second trigger command to the mist spraying mechanism and the liquid spraying mechanism simultaneously.
< second embodiment >
FIG. 3 is a block diagram illustrating the structure of a dual mode cleaning platform utilizing large data storage, according to a second embodiment of the present invention, the platform comprising:
the speed detection equipment is arranged in a console of the head of the high-speed rail and is used for detecting and outputting the current running speed of the high-speed rail in real time;
the fog spraying mechanism is arranged below the high-speed rail head glass and used for starting fog spraying operation on the high-speed rail head glass when receiving a first trigger command;
in the fog spraying mechanism, in the fog spraying operation of the high-speed rail head glass, the fog spraying power is in direct proportion to the current running speed of the high-speed rail;
the fog spraying mechanism is further used for stopping carrying out fog spraying operation on the high-speed rail head glass when receiving a second trigger command;
the liquid injection mechanism is arranged on the left side of the mist injection mechanism and used for starting injection operation of glass cleaning liquid of the high-speed rail head glass when receiving a second trigger command;
in the liquid injection mechanism, in the injection operation of the glass cleaning liquid of the high-speed rail head glass, the power of the glass cleaning liquid injection is in direct proportion to the current running speed of the high-speed rail;
the liquid spraying mechanism is further used for stopping spraying operation of glass cleaning liquid to the high-speed rail head glass when receiving a first trigger command;
the big data storage network element is respectively connected with the fog spraying mechanism and the liquid spraying mechanism through a network and is used for storing the mapping relation between the fog spraying power and the current running speed of the high-speed rail and the mapping relation between the glass cleaning liquid spraying power and the current running speed of the high-speed rail;
the visual analysis equipment is used for extracting a corresponding glass imaging pattern from an imaging image of the environment where the high-speed rail head glass is located based on the geometric shape of the high-speed rail head glass, and determining to send a first trigger command or a second trigger command based on the image which is shot when the high-speed rail head glass leaves a factory and only comprises the high-speed rail head glass and the difference between the glass imaging patterns;
wherein, the step of deciding to send out the first trigger command or the second trigger command based on the image which is shot when the high-speed rail head glass leaves the factory and only comprises the high-speed rail head glass and the difference size between the glass imaging patterns comprises the following steps: taking an image which is shot when the high-speed rail head glass leaves a factory and only comprises the high-speed rail head glass as a first image, and taking the glass imaging pattern as a second image;
wherein, the determining to send out the first trigger command or the second trigger command based on the image shot when the high-speed rail head glass leaves the factory and only including the high-speed rail head glass and the difference size between the glass imaging patterns further comprises: performing difference processing and difference absolute value processing on pixel values of pixel points at the same position in the first image and the second image to obtain pixel difference values of corresponding positions, when the mean value of the pixel difference values respectively corresponding to the positions is larger than a first numerical threshold and smaller than a second numerical threshold, sending a first trigger command, and when the mean value of the pixel difference values respectively corresponding to the positions is larger than or equal to the second numerical threshold, sending a second trigger command;
the visual analysis equipment is respectively connected with the mist spraying mechanism and the liquid spraying mechanism and is used for sending the first trigger command or the second trigger command to the mist spraying mechanism and the liquid spraying mechanism simultaneously.
The following continues with a further description of the specific structure of the dual mode cleaning platform utilizing large data storage of the present invention.
The dual-mode cleaning platform utilizing big data storage can further comprise:
the wiper driving mechanism is respectively connected with the fog spraying mechanism and the liquid spraying mechanism and is used for driving the wiper to realize the cleaning operation of the head glass of the high-speed rail when the fog spraying mechanism or the liquid spraying mechanism is detected to be started;
wherein the frequency of the wiper driving mechanism driving the wiper to perform cleaning operation on the head glass of the high-speed rail is inversely proportional to the current running speed of the high-speed rail.
The dual-mode cleaning platform utilizing big data storage can further comprise:
the first storage box body is arranged below the head glass of the high-speed rail and used for providing liquid for generating mist for the mist spraying mechanism.
The dual-mode cleaning platform utilizing big data storage can further comprise:
and the second storage box body is arranged below the head glass of the high-speed rail and used for providing glass cleaning liquid for the liquid spraying mechanism.
In the dual mode cleaning platform utilizing big data storage:
the visual analysis equipment is connected with the IIC control bus and used for receiving various control instructions sent by the IIC control bus;
the visual analysis equipment is also connected with a clock generator and used for receiving a timing signal customized by the clock generator for the visual analysis equipment.
In the dual mode cleaning platform utilizing big data storage:
and the big data storage network element is also used for storing the mapping relation between the frequency of the wiper executing the cleaning operation on the head glass of the high-speed rail and the current running speed of the high-speed rail.
In addition, the dual-mode cleaning platform utilizing big data storage can further comprise WIFI communication equipment, and the WIFI communication equipment is used for reporting various abnormal states of the visual analysis equipment in time.
WIFI is a technology that allows an electronic device to connect to a Wireless Local Area Network (WLAN), typically using the 2.4GUHF or 5G SHF ISM radio frequency bands. Connecting to a wireless local area network is typically password protected; but may be open, allowing any device within range of the WLAN to connect. WIFI is a brand of wireless network communication technology, held by the WIFI alliance. The object is to improve the interoperability between wireless network products based on the IEEE 802.11 standard. Local area networks using the IEEE 802.11 family of protocols are known as wireless fidelity. Even WIFI is equated to the wireless internet (WIFI is an important component of WLAN).
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: Read-Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (9)
1. A dual mode cleaning method utilizing big data storage, the method comprising using a dual mode cleaning platform utilizing big data storage to perform a selection operation of a dual mode cleaning mechanism based on a visual detection result of a head glass of a high-speed railway, the dual mode cleaning platform utilizing big data storage comprising:
the fog spraying mechanism is arranged below the high-speed rail head glass and used for starting fog spraying operation on the high-speed rail head glass when receiving a first trigger command;
in the fog spraying mechanism, in the fog spraying operation of the high-speed rail head glass, the fog spraying power is in direct proportion to the current running speed of the high-speed rail.
2. The method of claim 1, wherein:
and the fog spraying mechanism is also used for stopping carrying out fog spraying operation on the high-speed rail head glass when receiving a second trigger command.
3. The method of claim 2, wherein the platform further comprises:
the liquid injection mechanism is arranged on the left side of the mist injection mechanism and used for starting injection operation of glass cleaning liquid of the high-speed rail head glass when receiving a second trigger command;
in the liquid injection mechanism, in the injection operation of the glass cleaning liquid of the high-speed rail head glass, the power of the glass cleaning liquid injection is in direct proportion to the current running speed of the high-speed rail;
the liquid spraying mechanism is further used for stopping spraying operation of glass cleaning liquid to the high-speed rail head glass when receiving a first trigger command;
the big data storage network element is respectively connected with the fog spraying mechanism and the liquid spraying mechanism through a network and is used for storing the mapping relation between the fog spraying power and the current running speed of the high-speed rail and the mapping relation between the glass cleaning liquid spraying power and the current running speed of the high-speed rail;
the visual analysis equipment is used for extracting a corresponding glass imaging pattern from an imaging image of the environment where the high-speed rail head glass is located based on the geometric shape of the high-speed rail head glass, and determining to send a first trigger command or a second trigger command based on the image which is shot when the high-speed rail head glass leaves a factory and only comprises the high-speed rail head glass and the difference between the glass imaging patterns;
wherein, the step of deciding to send out the first trigger command or the second trigger command based on the image which is shot when the high-speed rail head glass leaves the factory and only comprises the high-speed rail head glass and the difference size between the glass imaging patterns comprises the following steps: taking an image which is shot when the high-speed rail head glass leaves a factory and only comprises the high-speed rail head glass as a first image, and taking the glass imaging pattern as a second image;
wherein, the determining to send out the first trigger command or the second trigger command based on the image shot when the high-speed rail head glass leaves the factory and only including the high-speed rail head glass and the difference size between the glass imaging patterns further comprises: performing difference processing and difference absolute value processing on pixel values of pixel points at the same position in the first image and the second image to obtain pixel difference values of corresponding positions, when the mean value of the pixel difference values respectively corresponding to the positions is larger than a first numerical threshold and smaller than a second numerical threshold, sending a first trigger command, and when the mean value of the pixel difference values respectively corresponding to the positions is larger than or equal to the second numerical threshold, sending a second trigger command;
the visual analysis equipment is respectively connected with the mist spraying mechanism and the liquid spraying mechanism and is used for sending the first trigger command or the second trigger command to the mist spraying mechanism and the liquid spraying mechanism simultaneously.
4. The method of claim 3, wherein the platform further comprises:
and the speed detection equipment is arranged in a control console of the head of the high-speed rail and is used for detecting and outputting the current running speed of the high-speed rail in real time.
5. The method of claim 4, wherein the platform further comprises:
the wiper driving mechanism is respectively connected with the fog spraying mechanism and the liquid spraying mechanism and is used for driving the wiper to realize the cleaning operation of the head glass of the high-speed rail when the fog spraying mechanism or the liquid spraying mechanism is detected to be started;
wherein the frequency of the wiper driving mechanism driving the wiper to perform cleaning operation on the head glass of the high-speed rail is inversely proportional to the current running speed of the high-speed rail.
6. The method of claim 5, wherein the platform further comprises:
the first storage box body is arranged below the head glass of the high-speed rail and used for providing liquid for generating mist for the mist spraying mechanism.
7. The method of claim 6, wherein the platform further comprises:
and the second storage box body is arranged below the head glass of the high-speed rail and used for providing glass cleaning liquid for the liquid spraying mechanism.
8. The method of claim 7, wherein:
the visual analysis equipment is connected with the IIC control bus and used for receiving various control instructions sent by the IIC control bus;
the visual analysis equipment is also connected with a clock generator and used for receiving a timing signal customized by the clock generator for the visual analysis equipment.
9. The method of claim 8, wherein:
and the big data storage network element is also used for storing the mapping relation between the frequency of the wiper executing the cleaning operation on the head glass of the high-speed rail and the current running speed of the high-speed rail.
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| CN110891831A (en) * | 2017-07-11 | 2020-03-17 | 株式会社电装 | Vehicle cleaning system |
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| JP2001301582A (en) * | 2000-04-25 | 2001-10-31 | Denso Corp | Washer solution ejection control device |
| CN201951420U (en) * | 2011-01-17 | 2011-08-31 | 株洲联诚集团有限责任公司 | High-speed locomotive windscreen wiping and dust removing device |
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