CN116176503A - Train washing method, storage medium and automatic train monitoring system - Google Patents

Train washing method, storage medium and automatic train monitoring system Download PDF

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Publication number
CN116176503A
CN116176503A CN202111435671.7A CN202111435671A CN116176503A CN 116176503 A CN116176503 A CN 116176503A CN 202111435671 A CN202111435671 A CN 202111435671A CN 116176503 A CN116176503 A CN 116176503A
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Prior art keywords
train
washing
warehouse
image
car washing
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Inventor
孙永花
卓开阔
黄伟
乔青华
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BYD Co Ltd
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BYD Co Ltd
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60SSERVICING, CLEANING, REPAIRING, SUPPORTING, LIFTING, OR MANOEUVRING OF VEHICLES, NOT OTHERWISE PROVIDED FOR
    • B60S3/00Vehicle cleaning apparatus not integral with vehicles
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B61RAILWAYS
    • B61LGUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L15/00Indicators provided on the vehicle or train for signalling purposes
    • B61L15/0054Train integrity supervision, e.g. end-of-train [EOT] devices
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/51Indexing; Data structures therefor; Storage structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/583Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60SSERVICING, CLEANING, REPAIRING, SUPPORTING, LIFTING, OR MANOEUVRING OF VEHICLES, NOT OTHERWISE PROVIDED FOR
    • B60S3/00Vehicle cleaning apparatus not integral with vehicles
    • B60S3/006Vehicle cleaning apparatus not integral with vehicles specially adapted for railway vehicles
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T30/00Transportation of goods or passengers via railways, e.g. energy recovery or reducing air resistance

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Library & Information Science (AREA)
  • Software Systems (AREA)
  • Image Processing (AREA)

Abstract

The invention discloses a train washing method, a storage medium and an automatic train monitoring system, wherein the train washing method comprises the steps of obtaining an ex-warehouse image and an in-warehouse image of a train; judging whether car washing is needed according to the ex-warehouse image and the warehouse-in image; and determining that the car is required to be washed, setting a car washing plan for the train, and carrying out car washing control according to the car washing plan. According to the car washing method, whether the train needs to be washed or not is determined according to the actual condition of the surface of the train body by acquiring the ex-warehouse image and the in-warehouse image of the train, and the accuracy of judging whether the train needs to be washed or not is improved. After the train is determined to be required to be cleaned, a train cleaning plan is set for the train, and the cleaning of the train is controlled to be completed, so that the automatic degree of train cleaning is improved, and the labor cost is reduced.

Description

Train washing method, storage medium and automatic train monitoring system
Technical Field
The invention relates to the technical field of rail transit, in particular to a train washing method, a storage medium and an automatic train monitoring system.
Background
At present, automatic car washing of a signal system is basically ATS (Automatic Train Supervision, automatic train monitoring system) for carrying out train washing according to a pre-customized car washing plan, and the automatic car washing system is mainly characterized by comprising the following steps:
1) The automatic train washing method needs to customize a train washing plan in advance, and the train is washed every other day or 3 to 7 days. Driving the train into a car washing warehouse according to the plan and the appointed time, and starting the car washing plan;
2) The method comprises the steps that whether a vehicle is polluted or not is checked manually, if so, a command is confirmed and issued manually, a train is driven into a garage, and after the condition of vehicle washing is judged, a vehicle washing command is issued manually, so that vehicle washing is completed;
3) The train carwash monitoring record is mainly used for only recording that the train has reached the car washing requirement and reminding drivers, and the car washing process is not automatically executed, so that the car washing efficiency is low and the labor cost is high.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems in the related art to some extent. Therefore, one purpose of the invention is to provide a train washing method, which has the advantages of high accuracy in judging whether the train needs to be washed or not, high degree of automation in train washing and low labor cost.
Two objects of the present invention are to propose a computer readable storage medium.
The invention aims at providing an automatic train monitoring system.
To achieve the above object, an embodiment of a first aspect of the present invention provides a method for washing a train, including: acquiring an ex-warehouse image and an in-warehouse image of a train; judging whether car washing is needed or not according to the ex-warehouse image and the warehouse-in image; and determining that carwash is required, setting a carwash plan for the train, and carrying out carwash control according to the carwash plan.
According to the train washing method of the train, through obtaining the ex-warehouse image and the in-warehouse image of the train, whether the train needs to be washed or not is determined according to the actual condition of the surface of the train body, and the accuracy of judging whether the train needs to be washed or not is improved. After the train is determined to be required to be cleaned, a train cleaning plan is set for the train, and the cleaning of the train is controlled to be completed, so that the automatic degree of train cleaning is improved, and the labor cost is reduced.
In addition, the car washing method of the train provided by the embodiment of the invention can also have the following additional technical characteristics:
according to one embodiment of the present invention, the determining whether the car washing is required according to the ex-warehouse image and the warehouse-in image includes: matching the ex-warehouse image and the warehouse-in image by using a normalized cross correlation NCC algorithm to obtain matching information; and judging whether car washing is needed according to the matching information.
According to one embodiment of the present invention, the matching processing is performed on the outbound image and the inbound image by using a normalized cross correlation NCC algorithm, to obtain matching information, including: calculating a first integral graph of the ex-warehouse image and a second integral graph of the warehouse-in image; performing normalized cross correlation NCC calculation by using the first integral graph and the second integral graph according to a preset window size; and obtaining matching information according to the NCC calculation result and a preset matching threshold, wherein the matching information comprises a matching area or a non-matching area.
According to one embodiment of the present invention, the determining whether car washing is required according to the matching information includes: determining the number of stain areas according to the matching areas or the unmatched areas in the matching information; and determining that the vehicle needs to be washed when the number of the stain areas is larger than a preset stain threshold value.
According to one embodiment of the present invention, the setting a car washing plan for the train and performing car washing control according to the car washing plan includes: setting a car washing destination head code for the train, opening a path reaching a car washing garage, and controlling the train to enter the car washing garage; determining the stopping and stabilizing state of the train, controlling the car washer of the car washing garage to wash the car, and controlling the train to keep braking; and after the completion of car washing, setting a warehouse-returning head code for the train, opening a warehouse-returning access, and controlling the train to return to a warehouse.
According to one embodiment of the invention, the method further comprises: acquiring the interval time from the last car washing; and if the interval time is greater than or equal to a preset duration threshold, determining that car washing is required.
According to one embodiment of the invention, the method further comprises: acquiring air quality information and/or rainfall information in the process of train delivery operation; and if the air quality information or the rainfall information meets the preset car washing conditions, determining that car washing is needed.
According to one embodiment of the present invention, the air quality information satisfies a preset carwash condition, including: the accumulated duration of the pollutant concentration in or out of the train in a first interval exceeds a first preset duration, and/or the accumulated duration of the pollutant concentration in or out of the train in or out of a second interval exceeds a second preset duration, wherein the value in the second interval is greater than the value in the first interval, the second preset duration is less than the first preset duration, and/or the accumulated duration of the pollutant concentration in or out of the train in or out of a third interval exceeds a third preset duration, wherein the value in the third interval is greater than the value in the second interval, and the third preset duration is less than the second preset duration; the rainfall information meets preset car washing conditions and comprises the following steps: the accumulated time when the rainfall is greater than the preset rainfall threshold is greater than the fourth preset duration.
To achieve the above object, an embodiment of a second aspect of the present invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a car washing method of a train as set forth in the embodiment of the first aspect of the present invention.
To achieve the above object, an embodiment of a third aspect of the present invention provides an automatic train monitoring system, including a memory, a processor, and a computer program stored on the memory, where the computer program, when executed by the processor, implements a method for washing trains according to the embodiment of the first aspect of the present invention.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
FIG. 1 is a flow chart of a method of washing a train in accordance with one embodiment of the invention;
FIG. 2 is a flow chart of determining whether a car wash is required in accordance with an embodiment of the present invention;
FIG. 3 is a flow chart of acquiring matching information according to one embodiment of the invention;
FIG. 4 is a flow chart of determining whether a car wash is required in accordance with an embodiment of the present invention;
fig. 5 is a flow chart of a cleaning train of one embodiment of the present invention.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative and intended to explain the present invention and should not be construed as limiting the invention.
The following describes in detail a car washing method, a storage medium and an automatic train monitoring system for a train according to an embodiment of the present invention with reference to fig. 1 to 5 of the specification and a specific embodiment.
Fig. 1 is a flow chart of a method of washing a train in accordance with one embodiment of the invention. As shown in fig. 1, the car washing method of the train comprises the following steps:
s1, acquiring an ex-warehouse image and an in-warehouse image of a train.
Specifically, the ATS system can be used for acquiring a delivery image when the train is delivered to the warehouse so as to know the surface pollution condition of the train body when the train is delivered to the warehouse. And acquiring a warehouse-in image of the train when the train is warehouse-in so as to know the surface dirty condition of the train body when the train is warehouse-in.
In the embodiment of the invention, the train scanning device can be arranged around the appointed route of the train entering and exiting warehouse. And (3) performing whole-body scanning on the train passing by the train scanning device during ex-warehouse and warehouse-in so as to acquire ex-warehouse images and warehouse-in images of the train.
In the embodiment of the invention, the train scanning device collects the whole body images of the train when the train goes out of the warehouse and goes in the warehouse according to the proportion of 1:1, namely, the train goes out of the warehouse and goes in the warehouse according to the same collection part, area and proportion.
In an embodiment of the invention, the train scanning device may comprise a line scanning camera for capturing images.
S2, judging whether car washing is needed or not according to the ex-warehouse image and the warehouse-in image.
Specifically, according to the ex-warehouse image and the warehouse-in image, the surface dirty comparison condition of the train before and after ex-warehouse and warehouse-in can be known, whether the train needs to be washed or not is judged according to the actual surface condition of the train body, the accuracy of judging the train needs to be washed can be improved, when the need of washing is confirmed, the train can be controlled in time and washed, and the timeliness and the efficiency of train washing are improved.
In an embodiment of the present invention, as shown in fig. 2, determining whether car washing is required according to the ex-warehouse image and the warehouse-in image may include:
s21, matching the ex-warehouse image and the warehouse-in image by using a normalized cross correlation NCC (Normalized Cross Correlation ) algorithm to obtain matching information.
In the embodiment of the present invention, as shown in fig. 3, matching processing is performed on the outbound image and the inbound image by using a normalized cross correlation NCC algorithm, so as to obtain matching information, which may include:
s211, calculating a first integral graph of the warehouse-in image and a second integral graph of the warehouse-in image;
s212, carrying out normalized cross correlation NCC calculation by using the first integral diagram and the second integral diagram according to the preset window size;
s213, obtaining matching information according to the NCC calculation result and a preset matching threshold, wherein the matching information comprises a matching area or a non-matching area.
Specifically, the NCC algorithm is a matching method based on image gradation information. When the matching area or the unmatched area of the ex-warehouse image and the warehouse-in image is acquired, an integral graph (a first integral graph) of the ex-warehouse image and an integral graph (a second integral graph) of the warehouse-in image can be calculated first. After the first integral map and the second integral map are obtained, a window size (preset window size) is set. And carrying out normalized cross correlation NCC calculation by using the first integral graph and the second integral graph according to a preset window area (preset window size) to obtain an NCC calculation result of the preset window area. The NCC algorithm limits the NCC calculation result to the range of [ -1,1], if the NCC calculation result = -1, it indicates that the two matching windows are completely uncorrelated, whereas if the NCC calculation result = 1, it indicates that the two matching windows are very correlated. It can be seen that the correlation degree of the preset window area corresponding to the ex-warehouse image and the warehouse-in image can be known according to the NCC calculation result.
In the embodiment of the invention, the preset matching threshold value which actually meets the requirement of car washing is 0.2 through the calculation, comparison and verification of the data before and after the train goes out and goes in the warehouse for many times. When the NCC calculation result is smaller than 0.2, the preset window area is indicated to be a matching area. When the NCC calculation result is larger than 0.2, the preset window area is a mismatch area.
The outgoing image and the outgoing image are equal-scale images. In order to achieve a better effect, the acquired equal-proportion ex-warehouse images and the acquired equal-proportion ex-warehouse images are respectively arranged in sequence and then spliced into complete and clear train images. To facilitate NCC calculations.
S22, judging whether car washing is needed according to the matching information.
In an embodiment of the present invention, as shown in fig. 4, determining whether car washing is required according to the matching information may include:
s221, determining the number of stain areas according to the matching areas or the unmatched areas in the matching information;
s222, determining that car washing is needed when the number of the stain areas is larger than a preset stain threshold value.
Specifically, the number of the matching areas or the number of the unmatched areas is counted to determine the number of the stain areas. The number of the unmatched areas is the number of the stain areas. When the number of the stain areas is calculated according to the number of the matching areas, the number of the matching areas can be obtained by subtracting the number of the matching areas according to the total number of the preset window areas. When the number of the stain areas is smaller than a preset stain threshold value, the temporary no-need car washing of the train can be recorded. When the number of the stain areas is larger than a preset stain threshold value, the need of train washing can be recorded.
In an embodiment of the present invention, the car washing method of the train may further include: acquiring air quality information and/or rainfall information in the process of train delivery operation; and if the air quality information or the rainfall information meets the preset car washing conditions, determining that car washing is needed.
In embodiments of the invention, a PM2.5 sensor may be used to collect air quality information. A rain sensor may be used to collect the rain information. For better effect, a plurality of PM2.5 sensors can be arranged in a train body and a train, and the average value of a plurality of air quality information is used as the air quality information value in the process of train delivery operation. The rain sensor may be located at the front windshield of the train.
In this embodiment, the air quality information satisfies a preset car washing condition, which may include: the cumulative duration of the contaminant concentration in or out of the train in the first zone exceeds a first preset duration and/or the cumulative duration of the contaminant concentration in or out of the train in the second zone exceeds a second preset duration, wherein the value in the second zone is greater than the value in the first zone, the second preset duration is less than the first preset duration, and/or the cumulative duration of the contaminant concentration in or out of the train in a third zone exceeds a third preset duration, wherein the value in the third zone is greater than the value in the second zone, and the third preset duration is less than the second preset duration.
In the embodiment of the invention, the preset car washing conditions can be configured according to the actual detection values of different areas, and the following references are made: according to the new air quality standard of the PM2.5 detection network, the 24 hour average standard value can set the threshold value as follows in Table 1:
table 1 air quality rating table
Air quality grade 24 hour PM2.5 average standard value
Excellent (excellent) 0~35μg/m 3
Good grade (good) 35~75μg/m 3
Light pollution 75~115μg/m 3
Moderate contamination 115~150μg/m 3
Severe contamination 150~250μg/m 3
Severe pollution Greater than 250 mug/m 3 The above
As an example, the first interval of contaminant concentration is 115-150 μg/m 3 (moderate contamination) for a first preset period of 24 hours. The second interval of contaminant concentration is 150-250 μg/m3 (heavy contamination) for a second preset period of 12 hours. The third interval of the pollutant concentration is more than 250 mug/m 3 And above (severe contamination), a third preset time period of 6 hours. Wherein, mu g/m 3 Indicating the mass of particles contained in each cubic meter of air. Specifically, when the concentration of the contaminant in the train or outside the train is in the first zone 115-150. Mu.g/m 3 The accumulated time of (2) exceeds 24 hours, and the concentration of the pollutants in or outside the train is in the second interval150-250μg/m 3 The integrated duration of (2) exceeds 12 hours, and the concentration of the pollutants in or outside the train is greater than 250 mu g/m in a third interval 3 And when the accumulated time exceeds at least one of 6 hours, the current external air quality pollution is considered to be serious, a car washing plan is required to be started for the train returned to the warehouse, and the need of car washing of the train is recorded.
In this embodiment, the rainfall information satisfies a preset car washing condition, which may include: the accumulated time when the rainfall is greater than the preset rainfall threshold is greater than the fourth preset duration.
Specifically, after the train is delivered out of the warehouse, the information acquisition module uses the rainfall sensor to acquire whether the outside of the train is rainy or not and the data of the rainfall during running of the train, and transmits the data to the ATS server. If the rainfall is greater than the preset rainfall threshold and the accumulated time is greater than the fourth preset duration, recording that the train needs to be washed after running.
In the embodiment of the invention, the preset rainfall threshold and the fourth preset duration can be configured according to the actual requirements of different lines, and the preset rainfall threshold is 10mm/min and the fourth preset duration is 1 hour.
In an embodiment of the present invention, the car washing method of the train may further include: acquiring the interval time from the last car washing; if the interval time is greater than or equal to the preset duration threshold, determining that car washing is required.
Specifically, whether the car is required to be washed or not is determined, the recorded time of last washing of the train can be obtained, and the interval time of last car washing of the current distance is calculated. If the interval time from the last car washing is smaller than the preset duration threshold value, the car washing is not needed. And if the interval time is greater than or equal to the preset duration threshold, determining that the vehicle needs to be washed.
For better effects, when no record of car washing is queried, if car washing is not needed according to the ex-warehouse image and the warehouse-in image, and the air quality information or the rainfall information does not meet the preset car washing condition, and when car washing is not needed, the interval time from the last car washing can be acquired again to judge whether car washing is needed or not, so that the timeliness of train washing is improved.
S3, determining that carwash is required, setting a carwash plan for the train, and carrying out carwash control according to the carwash plan.
Specifically, after determining that a car is required to be washed, the ATS server automatically sets a car washing plan for the train after the train enters (i.e., passes through a train scanning device on one side of the warehouse entry), and washes the train according to the set car washing plan.
As a possible embodiment, as shown in fig. 5, setting a car washing plan for a train and performing car washing control according to the car washing plan may include:
s31, setting a car washing destination head code for the train, opening a path to a car washing garage, and controlling the train to enter the car washing garage;
s32, determining the stopping and stabilizing of the train, controlling a car washer of a car washing garage to wash the car, and controlling the train to keep braking;
s33, determining that the car is washed, setting a return warehouse header code for the train, opening a return warehouse access, and controlling the train to return warehouse.
Specifically, a destination head code of the cleaning train is automatically set, a route of the cleaning garage is automatically triggered, a route of the cleaning garage is opened, and after a CI (Computer Interlocking, computer interlocking and a subsystem of the train automatic control system take computer technology as a core and a general term of control and protection technologies such as a route, a turnout, a annunciator and the like are automatically realized), a signal is developed, the train automatically enters the cleaning garage. After the train enters the garage and stops steadily, if the car washer is already started and enters a standby state, the ATS (Automatic Train Supervision, automatic train monitoring system) issues a car washer and the train at the same time to start a car washing command. After the train receives a command for starting to wash the train, the brake is kept unreleasable. The car washer starts to wash the car until the washing is finished. After the train is cleaned, a return warehouse header code is set for the train, a return warehouse approach is opened, and the train is controlled to return to the warehouse. And after the train is cleaned, returning the train to the warehouse, and completing the cleaning of the train.
In the embodiment of the invention, if the train does not have a car washing requirement, after the train passes through the train scanning device, the ATS server automatically sets a head code (a purposeful non-planned train capable of realizing automatic triggering of the route) reaching the destination in the warehouse for the train, and automatically triggers the head code reaching the destination. After the CI develops the signal, the train automatically enters the parking garage.
According to the train washing method, whether the train needs to be washed or not is determined according to the actual condition of the surface of the train body by acquiring the ex-warehouse image and the in-warehouse image of the train, and the accuracy of judging whether the train needs to be washed or not is improved. After the train is determined to be required to be cleaned, a train cleaning plan is set for the train, and the cleaning of the train is controlled to be completed, so that the automatic degree of train cleaning is improved, and the labor cost is reduced.
The invention also provides a computer readable storage medium.
In this embodiment, a computer program is stored on a computer readable storage medium, and the computer program corresponds to the above-described train car washing method, and when executed by a processor, implements the above-described train car washing method.
The invention also provides an automatic train monitoring system.
In this embodiment, the automatic train monitoring system includes a memory, a processor, and a computer program stored on the memory, and when the processor executes the computer program, the above-described train washing method is implemented.
It should be noted that the logic and/or steps represented in the flow diagrams or otherwise described herein may be considered a ordered listing of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
In the description of the present specification, the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc. refer to an orientation or positional relationship based on that shown in the drawings, and do not indicate or imply that the apparatus or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and should not be construed as limiting the invention.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
In the description of the present specification, unless otherwise indicated, the terms "mounted," "connected," "secured," and the like are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; either directly or indirectly, through intermediaries, or both, may be in communication with each other or in interaction with each other, unless expressly defined otherwise. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances.
In the present invention, unless expressly stated or limited otherwise, a first feature "up" or "down" a second feature may be the first and second features in direct contact, or the first and second features in indirect contact via an intervening medium. Moreover, a first feature being "above," "over" and "on" a second feature may be a first feature being directly above or obliquely above the second feature, or simply indicating that the first feature is level higher than the second feature. The first feature being "under", "below" and "beneath" the second feature may be the first feature being directly under or obliquely below the second feature, or simply indicating that the first feature is less level than the second feature.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.

Claims (10)

1. A method of washing a train, comprising:
acquiring an ex-warehouse image and an in-warehouse image of a train;
judging whether car washing is needed or not according to the ex-warehouse image and the warehouse-in image;
and determining that carwash is required, setting a carwash plan for the train, and carrying out carwash control according to the carwash plan.
2. The method for washing a train according to claim 1, wherein the determining whether the car washing is required based on the departure image and the entry image comprises:
matching the ex-warehouse image and the warehouse-in image by using a normalized cross correlation NCC algorithm to obtain matching information;
and judging whether car washing is needed according to the matching information.
3. The method for washing trains according to claim 2, wherein the matching processing of the outbound image and the inbound image using a normalized cross-correlation NCC algorithm to obtain matching information includes:
calculating a first integral graph of the ex-warehouse image and a second integral graph of the warehouse-in image;
performing normalized cross correlation NCC calculation by using the first integral graph and the second integral graph according to a preset window size;
and obtaining matching information according to the NCC calculation result and a preset matching threshold, wherein the matching information comprises a matching area or a non-matching area.
4. The method for washing a train according to claim 3, wherein the determining whether washing is required according to the matching information comprises:
determining the number of stain areas according to the matching areas or the unmatched areas in the matching information;
and determining that the vehicle needs to be washed when the number of the stain areas is larger than a preset stain threshold value.
5. The method for washing a train according to claim 1, wherein the step of setting a washing plan for the train and performing washing control according to the washing plan comprises:
setting a car washing destination head code for the train, opening a path reaching a car washing garage, and controlling the train to enter the car washing garage;
determining the stopping and stabilizing state of the train, controlling the car washer of the car washing garage to wash the car, and controlling the train to keep braking;
and after the completion of car washing, setting a warehouse-returning head code for the train, opening a warehouse-returning access, and controlling the train to return to a warehouse.
6. The method of washing a train of claim 1, wherein the method further comprises:
acquiring the interval time from the last car washing;
and if the interval time is greater than or equal to a preset duration threshold, determining that car washing is required.
7. The method of washing a train of claim 1, wherein the method further comprises:
acquiring air quality information and/or rainfall information in the process of train delivery operation;
and if the air quality information or the rainfall information meets the preset car washing conditions, determining that car washing is needed.
8. A method for washing a train according to claim 1, wherein,
the air quality information meets preset car washing conditions and comprises the following steps:
the accumulated duration of the pollutant concentration in the first interval exceeds the first preset duration, and/or
The accumulated duration of the pollutant concentration in or out of the train in a second interval exceeds a second preset duration, wherein the value in the second interval is larger than the value in the first interval, the second preset duration is smaller than the first preset duration, and/or
The accumulated time length of the pollutant concentration in or out of the train in a third interval exceeds a third preset time length, wherein the value in the third interval is larger than the value in the second interval, and the third preset time length is smaller than the second preset time length;
the rainfall information meets preset car washing conditions and comprises the following steps:
the accumulated time when the rainfall is greater than the preset rainfall threshold is greater than the fourth preset duration.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements a method for washing a train according to any of claims 1-8.
10. An automatic train monitoring system comprising a memory, a processor and a computer program stored on the memory, wherein the computer program, when executed by the processor, implements a method of washing a train as claimed in any one of claims 1 to 8.
CN202111435671.7A 2021-11-29 2021-11-29 Train washing method, storage medium and automatic train monitoring system Pending CN116176503A (en)

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Application Number Priority Date Filing Date Title
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Publication Number Publication Date
CN116176503A true CN116176503A (en) 2023-05-30

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