Novel contact network fastener loosening image recognition system
By designing a new type of contact network fastener loose image recognition system, the coordinated work of the control unit, image acquisition unit, image preprocessing unit, feature extraction unit and central processing unit is solved, and the existing system data annotation and model generalization capabilities are achieved, efficient and accurate fastener loose detection and real-time monitoring are improved, and the safety and efficiency of high-speed rail operation are improved.
Patent Information
- Application Number
- CN202411810301.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-10
- Publication Date
- 2025-05-13
AI Technical Summary
The existing high-speed rail contact network fastener loose image recognition system has poor data labeling and model generalization capabilities, resulting in a large amount of labeling data required for deep learning model training. The looseness of high-speed rail contact network fasteners varies greatly due to different scenarios, and the diversity and representativeness of labeling data are required.
A new type of contact network fastener loose image recognition system is designed, including a control unit, an image acquisition unit, an image preprocessing unit, a feature extraction unit and a central processing unit. Through the coordinated work of these modules, the rapid and accurate detection of the looseness of high-speed rail contact network fasteners is achieved.
The system can quickly and accurately detect the looseness of the fasteners of the high-speed rail contact network, improve detection efficiency, reduce the misjudgment rate caused by human factors, and has real-time monitoring functions, which can promptly trigger the early warning mechanism to avoid potential safety hazards.
Smart Images
Figure CN119992154A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of high-speed rail contact network fastener monitoring, and in particular to a novel contact network fastener loosening image recognition system. Background Art
[0002] With the continuous advancement of high-speed rail construction and the continuous expansion of operation scale, the requirements for the safety and stability of high-speed rail contact networks are becoming higher and higher. The traditional manual detection method is not only inefficient, but also easily affected by human factors, resulting in missed detection or misjudgment. Therefore, it is particularly urgent to develop an image recognition system that can automatically and accurately identify loose fasteners of high-speed rail contact networks. The image recognition system for loose fasteners of high-speed rail contact networks is proposed under the continuous development of technologies such as image processing, artificial intelligence and machine learning to meet the high requirements of high-speed rail operations for safety and stability. By utilizing these advanced technologies, automatic and accurate identification of high-speed rail contact network fasteners can be achieved, thereby improving the efficiency and safety of high-speed rail operations.
[0003] However, the existing devices have the following problems:
[0004] The data annotation and model generalization capabilities of existing devices are poor. The training of deep learning models requires a large amount of labeled data. The looseness of high-speed rail contact network fasteners may vary depending on the actual scenario, which requires the labeled data to be sufficiently diverse and representative. Summary of the invention
[0005] 1. Technical issues to be resolved
[0006] In view of the shortcomings of the prior art, the present invention provides a new image recognition system for loose contact network fasteners, which has the advantages of more accurate detection, greater safety and adaptability to various locations. It solves the problems that the data labeling and model generalization capabilities of existing devices are poor, the training of deep learning models requires a large amount of labeled data, and the looseness of high-speed rail contact network fasteners may vary depending on the actual scenario, which requires the labeled data to be sufficiently diverse and representative.
[0007] (II) Technical solution
[0008] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a novel contact network fastener loosening image recognition system, comprising a control unit and a central processing unit, wherein the output end of the control unit is connected to the input end of the connection unit, the output end of the connection unit is connected to the input end of the image acquisition unit, the output end of the image acquisition unit is connected to the input end of the image preprocessing unit, the output end of the image preprocessing unit is connected to the input end of the feature extraction unit, the output end of the feature extraction unit is connected to the input end of the central processing unit, the output end of the central processing unit is connected to the input end of the server receiving unit, the output end of the server receiving unit is connected to the output end of the alarm and display unit, the output end of the alarm and display unit is connected to the input end of the data storage and management unit, the output end of the data storage and management unit is connected to the input end of the system control and communication unit, and the output end of the system control and communication module is connected to the input end of the central processing unit.
[0009] Preferably, the control unit includes a central controller and an operation program module, and the output end of the central controller is connected to the input end of the operation program module.
[0010] Preferably, the connection unit includes a control mainboard, an information processing board and an information transmission chip, the output end of the control mainboard is connected to the input end of the information processing board, and the output end of the information processing board is connected to the input end of the information transmission chip.
[0011] Preferably, the image acquisition unit comprises an image sensor module, a lens module and a light source and lighting module, the output end of the light source and lighting module is connected to the input end of the lens module, and the output end of the lens module is connected to the input end of the image sensor module.
[0012] Preferably, the image preprocessing unit includes an image denoising module, a contrast enhancement module, a color correction module and an image cropping and positioning module, the output end of the image denoising module is connected to the input end of the contrast enhancement module, the output end of the contrast enhancement module is connected to the input end of the color correction module, and the output end of the color correction module is connected to the input end of the image cropping and positioning module.
[0013] Preferably, the feature extraction unit includes an edge detection module, a shape analysis module and a feature selection and optimization module, the output end of the edge detection module is connected to the input end of the shape analysis module, and the output end of the shape analysis module is connected to the input end of the feature selection and optimization module.
[0014] Preferably, the server receiving unit includes an anti-shielding receiver, a WAF firewall, an information receiving source, a dual Ethernet, an information amplifying receiver and a server information transmitter, the output end of the anti-shielding receiver is connected to the input end of the WAF firewall, the output end of the WAF firewall is connected to the input end of the signal receiving source, the output end of the signal receiving source is connected to the input end of the dual Ethernet, the output end of the dual Ethernet is connected to the input end of the signal amplifying receiver, and the output end of the signal amplifying receiver is connected to the input end of the server information transmitter.
[0015] Preferably, the alarm and display unit includes a result display module, an alarm trigger module, an alarm recording module and an exchange module, the output end of the result display module is connected to the input end of the alarm trigger module, the output end of the alarm trigger module is connected to the input end of the alarm recording module, and the output end of the alarm recording module is connected to the input end of the user exchange module.
[0016] Preferably, the data storage and management unit includes a data storage module, a backup and recovery module, a data access control module, a security and encryption module and a query and analysis module. The output end of the data storage module is connected to the input end of the backup and recovery module, the output end of the backup and recovery unit is connected to the input end of the data access control module, the input end of the data access control module is connected to the input end of the security and encryption module, and the output end of the security and encryption module is connected to the input end of the query and analysis module.
[0017] Preferably, the system control and communication unit includes a system control module, a communication interface module, a data synchronization and coordination module, a fault diagnosis and recovery module and a system configuration and management module, the output end of the system control module is connected to the input end of the communication interface module, the output end of the communication interface module is connected to the input end of the data synchronization and coordination module, the output end of the data synchronization and coordination module is connected to the input end of the fault diagnosis and recovery module, and the output end of the fault diagnosis and recovery module is connected to the input end of the system configuration and management module.
[0018] Preferably, the multimodal data fusion unit includes an image data combination module, an audio data analysis module and a vibration numerical detection module, the output end of the image data combination module is connected to the input end of the audio data analysis module, and the output end of the audio data analysis module is connected to the input end of the vibration numerical detection module.
[0019] (III) Beneficial effects
[0020] Compared with the prior art, the present invention provides a novel image recognition system for loose contact network fasteners, which has the following beneficial effects:
[0021] The new type of loose contact network fastener image recognition system, through the coordinated setting of the alarm and display unit, the image acquisition unit, the image preprocessing unit and the feature extraction unit, can enable the system to quickly and accurately detect the looseness of the high-speed rail contact network fasteners through image recognition technology. Compared with the traditional system and manual detection, the system greatly improves the detection efficiency and reduces the misjudgment rate caused by human factors. The system has a real-time monitoring function and can continuously and uninterruptedly monitor the high-speed rail contact network. Once the fastener is detected to be loose, the system can immediately trigger the early warning mechanism to remind the staff to deal with it in time, thereby avoiding potential safety hazards. The existence of the system makes the high-speed rail journey safer. BRIEF DESCRIPTION OF THE DRAWINGS
[0022] Figure 1 This is a schematic diagram of the structure of a new type of image recognition system for loosening of contact network fasteners proposed by the present invention;
[0023] Figure 2 This is a structural schematic diagram of an image preprocessing unit of a novel image recognition system for loosening of contact network fasteners proposed by the present invention;
[0024] Figure 3 This is a structural schematic diagram of a data storage and management unit of a novel contact network fastener loosening image recognition system proposed by the present invention. DETAILED DESCRIPTION
[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0026] See also Figure 1-3 , including a control unit and a central processing unit, the output end of the control unit is connected to the input end of the connection unit, the control unit includes a central controller and an operation program module, the output end of the central controller is connected to the input end of the operation program module, the connection unit includes a control mainboard, an information processing board and an information transmission chip, the output end of the control mainboard is connected to the input end of the information processing board, and the output end of the information processing board is connected to the input end of the information transmission chip. Therefore, the control unit serves as the core command center of the entire new contact network fastener loosening image recognition system, responsible for the control and scheduling of the overall process, it integrates the central controller and the operation program module, the two work closely together to ensure the efficient and accurate operation of the system;
[0027] The output end of the connection unit is connected to the input end of the image acquisition unit. The image acquisition unit includes an image sensor module, a lens module, and a light source and lighting module. The output end of the light source and lighting module is connected to the input end of the lens module. The output end of the lens module is connected to the input end of the image sensor module. Therefore, in the new contact network fastener loosening image recognition system, the connection unit serves as a hub for data transmission, and its output end is closely connected to the input end of the image acquisition unit, ensuring that high-definition and accurate image data can smoothly enter the subsequent processing flow;
[0028] The output end of the image acquisition unit is connected to the input end of the image preprocessing unit. The image preprocessing unit includes an image denoising module, a contrast enhancement module, a color correction module and an image cropping and positioning module. The output end of the image denoising module is connected to the input end of the contrast enhancement module, the output end of the contrast enhancement module is connected to the input end of the color correction module, and the output end of the color correction module is connected to the input end of the image cropping and positioning module. Therefore, the image acquisition unit, as the eyes of the entire system, is responsible for capturing real-time image data of contact network fasteners. Its internal components work together to ensure that the quality of the captured image meets the requirements of subsequent processing. The image preprocessing unit is a key step in the image recognition process and is responsible for performing a series of optimization processes on the collected original image to improve image quality, reduce noise interference, and lay the foundation for subsequent feature extraction and recognition work;
[0029] The output end of the image preprocessing unit is connected to the input end of the feature extraction unit. The feature extraction unit includes an edge detection module, a shape analysis module, and a feature selection and optimization module. The output end of the edge detection module is connected to the input end of the shape analysis module. The output end of the shape analysis module is connected to the input end of the feature selection module and the optimization module. Therefore, in the image recognition system, the output end of the image preprocessing unit is seamlessly connected to the input end of the feature extraction unit, ensuring that the optimized image data can be directly used for feature analysis. This process is automated and efficient, and is crucial to improving the recognition accuracy and response speed of the entire system.
[0030] The output end of the feature extraction unit is connected to the input end of the central processing unit, the output end of the central processing unit is connected to the input end of the server receiving unit, the server receiving unit includes an anti-shielding receiver, a WAF firewall, an information receiving source, a dual Ethernet, an information amplifying receiver and a server information transmitter, the output end of the anti-shielding receiver is connected to the input end of the WAF firewall, the output end of the WAF firewall is connected to the input end of the signal receiving source, the output end of the signal receiving source is connected to the input end of the dual Ethernet, the output end of the dual Ethernet is connected to the input end of the signal amplifying receiver, and the output end of the signal amplifying receiver is connected to the input end of the server information transmitter;
[0031] The output end of the server receiving unit is connected to the output end of the alarm and display unit. The alarm and display unit includes a result display module, an alarm trigger module, an alarm recording module and an exchange module. The output end of the result display module is connected to the input end of the alarm trigger module, the output end of the alarm trigger module is connected to the input end of the alarm recording module, and the output end of the alarm recording module is connected to the input end of the user exchange module. Therefore, the result display module is not only responsible for displaying the recognition results to the user in the form of graphics or text, but also has a historical result query function. The user can easily view the previous recognition records through the interface. The alarm trigger module automatically determines whether to trigger an alarm according to the preset alarm threshold or condition. When an abnormal situation such as loose fasteners is detected, the module will be activated immediately and notify other modules for subsequent processing. The alarm recording module records the time, type, cause and subsequent processing of each alarm in detail, providing an important basis for system maintenance and troubleshooting. In addition to the basic user interaction function, the user exchange module also integrates a message push service, which can promptly notify relevant personnel through SMS, email, etc. in an emergency.
[0032] The output end of the alarm and display unit is connected to the input end of the data storage and management unit. The data storage and management unit includes a data storage module, a backup and recovery module, a data access control module, a security and encryption module and a query and analysis module. The output end of the data storage module is connected to the input end of the backup and recovery module, the output end of the backup and recovery unit is connected to the input end of the data access control module, the input end of the data access control module is connected to the input end of the security and encryption module, and the output end of the security and encryption module is connected to the input end of the query and analysis module. Therefore, the alarm and display unit is not only responsible for displaying the identification result of the loose fastener in an intuitive way, but also for displaying the identification result of the loose fastener in an intuitive way. The alarm and display unit not only displays the information to the user, but also undertakes the important task of passing key information to the data storage and management unit. When the system detects loose fasteners or other abnormal conditions, the alarm and display unit will immediately trigger the alarm mechanism and send the data packet containing the alarm information to the data storage and management unit through its output terminal. The data storage and management unit is the core of the system data storage, processing and analysis. When receiving the data packet from the alarm and display unit, the data storage module will first receive and preliminarily process the data, including data parsing, format conversion, etc., and then the data will be safely stored in the data storage module for subsequent query and analysis.
[0033] The output end of the data storage and management unit is connected to the input end of the system control and communication unit, the output end of the system control and communication module is connected to the input end of the central processing unit, the system control and communication unit includes a system control module, a communication interface module, a data synchronization and coordination module, a fault diagnosis and recovery module and a system configuration and management module, the output end of the system control module is connected to the input end of the communication interface module, the output end of the communication interface module is connected to the input end of the data synchronization and coordination module, the output end of the data synchronization and coordination module is connected to the input end of the fault diagnosis and recovery module, the output end of the fault diagnosis and recovery module is connected to the input end of the system configuration and management module, so the output end of the data storage and management unit is connected to the input end of the system control and communication unit, this connection ensures that all key data processed, encrypted, backed up and queried in the data storage and management unit can be safely and efficiently transmitted to the system control and communication unit, the system control and communication unit uses these data to monitor the operating status of the entire system, make necessary adjustments and optimizations, and ensure the stability and accuracy of the image recognition system.
[0034] The electrical components mentioned in this article are all connected to an external main controller and 220V mains electricity, and the main controller can be a conventional known device for controlling a computer or the like.
[0035] To sum up, when the new type of loose contact network fastener image recognition system is in use, through the coordinated setting of the alarm and display unit, the image acquisition unit, the image preprocessing unit and the feature extraction unit, the system can use image recognition technology to quickly and accurately detect the looseness of the high-speed rail contact network fasteners. Compared with the traditional system or manual detection, the system greatly improves the detection efficiency and reduces the misjudgment rate caused by human factors. The system has a real-time monitoring function and can continuously and uninterruptedly monitor the high-speed rail contact network. Once the fastener is detected to be loose, the system can immediately trigger the early warning mechanism to remind the staff to deal with it in time, thereby avoiding potential safety hazards. The existence of the system makes the high-speed rail safer during travel.
[0036] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the statement "comprise one" do not exclude the existence of other identical elements in the process, method, article or device including the elements.
[0037] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. A new type of loose contact network fastener image recognition system, including a control unit and a central processing unit, characterized in that: The output end of the control unit is connected to the input end of the connection unit, the output end of the connection unit is connected to the input end of the image acquisition unit, the output end of the image acquisition unit is connected to the input end of the image preprocessing unit, the output end of the image preprocessing unit is connected to the input end of the feature extraction unit, the output end of the feature extraction unit is connected to the input end of the central processing unit, the output end of the central processing unit is connected to the input end of the server receiving unit, the output end of the server receiving unit is connected to the output end of the alarm and display unit, the output end of the alarm and display unit is connected to the input end of the data storage and management unit, the output end of the data storage and management unit is connected to the input end of the system control and communication unit, the output end of the system control and communication module is connected to the input end of the central processing unit, and the output end of the central processing unit is connected to the input end of the multimodal data fusion unit.
2. According to claim 1, a new type of image recognition system for loose contact network fasteners is characterized by: The control unit includes a central controller and an operation program module, and the output end of the central controller is connected to the input end of the operation program module; the connection unit includes a control mainboard, an information processing board and an information transmission chip, and the output end of the control mainboard is connected to the input end of the information processing board, and the output end of the information processing board is connected to the input end of the information transmission chip.
3. The novel contact network fastener loosening image recognition system according to claim 1 is characterized by: The image acquisition unit comprises an image sensor module, a lens module and a light source and lighting module. The output end of the light source and lighting module is connected to the input end of the lens module, and the output end of the lens module is connected to the input end of the image sensor module.
4. The novel contact network fastener loosening image recognition system according to claim 1 is characterized by: The image preprocessing unit includes an image denoising module, a contrast enhancement module, a color correction module and an image cropping and positioning module. The output end of the image denoising module is connected to the input end of the contrast enhancement module, the output end of the contrast enhancement module is connected to the input end of the color correction module, and the output end of the color correction module is connected to the input end of the image cropping and positioning module.
5. The novel contact network fastener loosening image recognition system according to claim 1 is characterized by: The feature extraction unit includes an edge detection module, a shape analysis module and a feature selection and optimization module. The output end of the edge detection module is connected to the input end of the shape analysis module, and the output end of the shape analysis module is connected to the input end of the feature selection and optimization module.
6. The novel contact network fastener loosening image recognition system according to claim 1 is characterized by: The server receiving unit includes an anti-shielding receiver, a WAF firewall, an information receiving source, a dual Ethernet, an information amplifying receiver and a server information transmitter. The output end of the anti-shielding receiver is connected to the input end of the WAF firewall, the output end of the WAF firewall is connected to the input end of the signal receiving source, the output end of the signal receiving source is connected to the input end of the dual Ethernet, the output end of the dual Ethernet is connected to the input end of the signal amplifying receiver, and the output end of the signal amplifying receiver is connected to the input end of the server information transmitter.
7. The novel contact network fastener loosening image recognition system according to claim 1 is characterized by: The alarm and display unit includes a result display module, an alarm trigger module, an alarm recording module and an exchange module. The output end of the result display module is connected to the input end of the alarm trigger module, the output end of the alarm trigger module is connected to the input end of the alarm recording module, and the output end of the alarm recording module is connected to the input end of the user exchange module.
8. The novel contact network fastener loosening image recognition system according to claim 1 is characterized by: The data storage and management unit includes a data storage module, a backup and recovery module, a data access control module, a security and encryption module and a query and analysis module. The output end of the data storage module is connected to the input end of the backup and recovery module, the output end of the backup and recovery unit is connected to the input end of the data access control module, the input end of the data access control module is connected to the input end of the security and encryption module, and the output end of the security and encryption module is connected to the input end of the query and analysis module.
9. The novel contact network fastener loosening image recognition system according to claim 1 is characterized by: The system control and communication unit includes a system control module, a communication interface module, a data synchronization and coordination module, a fault diagnosis and recovery module and a system configuration and management module. The output end of the system control module is connected to the input end of the communication interface module, the output end of the communication interface module is connected to the input end of the data synchronization and coordination module, the output end of the data synchronization and coordination module is connected to the input end of the fault diagnosis and recovery module, and the output end of the fault diagnosis and recovery module is connected to the input end of the system configuration and management module.
10. The novel contact network fastener loosening image recognition system according to claim 1 is characterized by: The multimodal data fusion unit includes an image data combination module, an audio data analysis module and a vibration value detection module. The output end of the image data combination module is connected to the input end of the audio data analysis module, and the output end of the audio data analysis module is connected to the input end of the vibration value detection module.