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CN-122018572-A - Track maintenance method and system based on intelligent oil spraying vehicle

CN122018572ACN 122018572 ACN122018572 ACN 122018572ACN-122018572-A

Abstract

The embodiment of the application discloses a track maintenance method and system based on an intelligent oil spraying vehicle. According to the technical scheme provided by the embodiment of the application, through introducing the historical state comparison and the environmental risk perception of the bolts, the oil injection operation can comprehensively consider the corrosion change trend of the bolts and the corrosion risk of the external environment, the oil injection quantity is adaptively and dynamically regulated, the maintenance accuracy of the track bolts is improved, the track operation and maintenance effect is optimized, and the track operation and maintenance reliability is improved.

Inventors

  • HUANG GUOHUI
  • PENG YANG

Assignees

  • 广东衡启科技有限公司

Dates

Publication Date
20260512
Application Date
20260320

Claims (10)

  1. 1. The track maintenance method based on the intelligent oil spraying vehicle is characterized by comprising the following steps of: controlling an intelligent fuel injection vehicle to run along a preset operation route of a track, acquiring a track area image corresponding to a track area in real time based on a vision acquisition unit, identifying a target bolt in the track area image based on a preset vision identification algorithm, determining a target coordinate of the target bolt, and intercepting a current state image of the target bolt; acquiring a historical state image of the target bolt stored in a historical operation period, comparing and analyzing the current state image with the historical state image, and calculating a rust change rate parameter according to the rust area of the target bolt, the rust area color and/or the change of the texture characteristics of the rust area; And determining an environmental risk factor of the current track area, acquiring a basic oil injection quantity set by the intelligent oil injection vehicle, calculating an operation oil injection quantity based on the basic oil injection quantity, the environmental risk factor and the rust change rate parameter, controlling an oil injection mechanism of the intelligent oil injection vehicle to move to a corresponding operation position of the target coordinate, and driving the oil injection mechanism to execute oil injection operation on the target bolt according to the operation oil injection quantity.
  2. 2. The track maintenance method based on the intelligent oil jet vehicle according to claim 1, wherein the acquiring the track area image based on the vision acquisition unit corresponding to the track area in real time, identifying the target bolt in the track area image based on the preset vision identification algorithm, and determining the target coordinates of the target bolt comprises: Loading bolt position data bound with the preset operation route, and starting a vision acquisition unit to acquire a track area image in real time corresponding to a track area at a corresponding track position point of the preset operation route based on the bolt position data; Identifying an image contour of a target bolt in the track area image based on a preset visual identification algorithm, and determining an image coordinate of the target bolt based on the image contour; And converting the image coordinates into target coordinates of the target bolt based on camera parameters of the vision acquisition unit.
  3. 3. The track maintenance method based on the intelligent oil jet vehicle according to claim 1, wherein the comparing the current state image with the historical state image is performed to analyze, and the rust change rate parameter is calculated according to the rust area, the rust area color and/or the change of the texture feature of the rust area of the target bolt, and the method comprises the following steps: Respectively extracting rust characteristic values of the current state image and the historical state image, wherein the rust characteristic values comprise a rust area occupation ratio, a rust area color characteristic value and a rust area texture characteristic complexity; and calculating the rust change rate parameter between the current state image and the historical state image based on the rust characteristic value weight.
  4. 4. The intelligent fuel truck-based track maintenance method of claim 1, wherein the determining the environmental risk factor for the current track area comprises: Inquiring a preset environment parameter mapping table based on a track section to which the current track area belongs, determining an environment risk coefficient mapped with the track section to which the current track area belongs from the environment parameter mapping table as an environment risk factor of the current track area, wherein the environment parameter mapping table defines the environment risk coefficients mapped with different track sections, and the environment risk coefficient is determined based on environment humidity, salinity and air pollutant concentration.
  5. 5. The track maintenance method based on an intelligent fuel injection vehicle according to claim 1, wherein the calculating of the operating fuel injection amount based on the base fuel injection amount, the environmental risk factor, and the rust change rate parameter includes: Under the condition that the rust change rate parameter reaches a set threshold value, adding an additional oil injection quantity positively related to the rust change rate parameter and the environmental risk factor on the basis of the basic oil injection quantity to obtain an operation oil injection quantity; and under the condition that the rust change rate parameter is lower than a set threshold value, taking the basic oil injection quantity as an operation oil injection quantity.
  6. 6. The track maintenance method based on an intelligent oil jet vehicle according to claim 5, wherein, in the case that the rust change rate parameter reaches a set threshold value, the calculation formula of the operation oil jet quantity is expressed as: Wherein, the Representing the amount of the operation fuel injection, Representing the basic fuel injection amount, Indicating the rust change rate parameter, Representing the environmental risk factor.
  7. 7. The track maintenance method based on an intelligent fuel injection vehicle according to claim 1, further comprising, after said driving a fuel injection mechanism according to said operation fuel injection amount performs a fuel injection operation on said target bolt: Collecting an operation result image of the target bolt, and calculating oil injection position deviation based on the operation result image; and under the condition that the oil injection position deviation reaches a set deviation threshold value, carrying out bolt positioning correction on the intelligent oil injection vehicle based on the oil injection position deviation of the continuous set times.
  8. 8. Track maintenance system based on intelligent oil spraying car, its characterized in that includes: The positioning module is used for controlling the intelligent fuel injection vehicle to run along a preset operation route of the track, acquiring a track area image corresponding to the track area in real time based on the vision acquisition unit, identifying a target bolt in the track area image based on a preset vision identification algorithm, determining a target coordinate of the target bolt, and intercepting a current state image of the target bolt; The analysis module is used for acquiring a historical state image stored in a historical operation period of the target bolt, comparing the current state image with the historical state image, analyzing the current state image, and calculating a rust change rate parameter according to the rust area of the target bolt, the rust area color and/or the change of the texture characteristics of the rust area; The operation module is used for determining an environmental risk factor of the current track area, acquiring a basic oil injection quantity set by the intelligent oil injection vehicle, calculating an operation oil injection quantity based on the basic oil injection quantity, the environmental risk factor and the rust change rate parameter, controlling an oil injection mechanism of the intelligent oil injection vehicle to move to a corresponding operation position of the target coordinate, and driving the oil injection mechanism to execute oil injection operation on the target bolt according to the operation oil injection quantity.
  9. 9. An electronic device, comprising: a memory and one or more processors; the memory is used for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement the intelligent fuel truck-based track maintenance method of any one of claims 1-7.
  10. 10. A storage medium containing computer executable instructions, which when executed by a computer processor are for performing the intelligent fuel truck-based track maintenance method of any one of claims 1-7.

Description

Track maintenance method and system based on intelligent oil spraying vehicle Technical Field The embodiment of the application relates to the technical field of rail transit, in particular to a rail maintenance method, a rail maintenance system, electronic equipment and a storage medium based on an intelligent oil spraying vehicle. Background At present, in the maintenance operation scene of railway track bolts, the bolts for fixing the rail are required to be oiled so as to avoid potential safety hazards caused by corrosion of the bolts. Considering that manual oiling is low in efficiency, an oil spraying vehicle is generally adopted to perform oil spraying operation on the bolts. In the oil spraying operation process, an oil spraying vehicle moves along a track, the height of an object on the track is detected and recorded through a laser distance sensor at the front end, then whether the object is a bolt is judged through an inductive sensor according to the height information, after the bolt is identified, the position of the oil spraying nozzle is adjusted according to the recorded height, the oil spraying operation is carried out on the bolt, after the oil spraying operation is finished, the oil spraying vehicle collects oil spraying images through a camera to carry out effect analysis, if the effect does not meet a preset standard, the position is recorded, and reworking oil spraying is carried out after the interval operation is finished. However, in the process of executing oil injection operation, the oil injection vehicle only depends on the instant height and position identification of the bolts at the moment of oil injection, and the oil injection quantity is usually fixed. Considering that the rust prevention effect of the bolts is different under different oil spraying operation effects and different track section environments, quantitative oil spraying operation can lead to the difficulty in achieving the expected rust prevention effect of part of the bolts, and excessive oil spraying quantity can easily pollute rails, so that the oil spraying operation effect is relatively poor. Disclosure of Invention The embodiment of the application provides a track maintenance method, a system, electronic equipment and a storage medium based on an intelligent oil spraying vehicle, which can comprehensively consider the corrosion change trend of bolts and the corrosion risk of the external environment, carry out adaptive dynamic regulation and control on oil spraying quantity, and solve the technical problems of poor rust prevention effect or excessive pollution of grease caused by fixed oil spraying quantity in the existing oil spraying operation. In a first aspect, an embodiment of the present application provides a track maintenance method based on an intelligent oil jet vehicle, including: controlling the intelligent fuel injection vehicle to run along a preset operation route of the track, acquiring a track area image corresponding to the track area in real time based on a vision acquisition unit, identifying a target bolt in the track area image based on a preset vision identification algorithm, determining a target coordinate of the target bolt, and intercepting a current state image of the target bolt; Acquiring a historical state image of the target bolt stored in a historical operation period, comparing and analyzing the current state image with the historical state image, and calculating a rust change rate parameter according to the rust area of the target bolt, the rust area color and/or the change of the texture characteristics of the rust area; And determining an environmental risk factor of the current track area, acquiring a basic oil injection quantity set by the intelligent oil injection vehicle, calculating an operation oil injection quantity based on the basic oil injection quantity, the environmental risk factor and the rust change rate parameter, controlling an oil injection mechanism of the intelligent oil injection vehicle to move to a corresponding operation position of a target coordinate, and driving the oil injection mechanism to perform oil injection operation on the target bolt according to the operation oil injection quantity. Further, based on the real-time track area image acquisition corresponding to the track area by the vision acquisition unit, the target bolt in the track area image is identified based on a preset vision identification algorithm, and the target coordinates of the target bolt are determined, including: loading bolt position data bound with a preset operation route, and starting a vision acquisition unit to acquire a track area image corresponding to a track area in real time on the basis of the corresponding track position point of the preset operation route on the basis of the bolt position data; Identifying an image contour of a target bolt in the track area image based on a preset visual identification algorithm, and determining an image coordinate