Multi-ecological value detection equipment based on dangerous tree

Abstract

The utility model relates to the technical field of environment detection, and discloses a multi-ecological-value detection device based on a dangerous tree. The technical problems that in the prior art, dangerous trees on the two sides of a high-speed rail road are difficult to recognize, the dangerous trees fall on droppers, circuits on the droppers are disconnected, and then high-speed rail operation accidents are induced are solved. The device comprises a switch component and a video recording component, the switch component comprises a rotating paddle, a pressure sensor is arranged at the bottom of the rotating paddle, the rotating paddle and the pressure sensor are connected in series at the start-stop control end of the video recording component, and the video recording component is installed on the side, away from a track, of a dropper and connected with a work station through a data transmission module. A computer is arranged in the work station to store and display information recorded by the recording part. The utility model provides an efficient and reliable railway environment detection solution, which not only simplifies the maintenance and management process, but also significantly improves the detection precision and real-time performance, and provides powerful technical support for safe operation of railways.

Description

Technical Field

[0001] The utility model relates to the technical field of environmental detection, in particular to a multi-ecological numerical detection device based on dangerous trees. Background Art

[0002] With the continuous development of railway construction and the significant increase in train operating speeds, railways are placing increasingly stringent demands on the safety and environmental conditions along their routes. Dangerous trees and environmental issues, in particular, have become a major threat to railway transportation safety and disrupt the normal operation of railway operations. Foreign object intrusion on railway lines poses a significant threat to railway operation safety, causing train delays at the very least and severe economic losses at the most serious. In recent years, environmental safety hazards along railway lines have become increasingly prominent, posing significant risks to people's lives and property. According to statistics, 20% of railway system failures are due to equipment failures, while 80% are caused by external factors. Foreign object intrusion is the primary cause of train delays. With the rapid development of railway construction and the continuous increase in train operating speeds, the requirements for train safety are also increasing.

[0003] The Chinese patent document CN107097810B in the prior art discloses a method and system for intelligent identification and early warning of foreign object intrusion by drones along railways. The method realizes foreign object intrusion detection in the local mobile environment of a controlled train by introducing a drone foreign object intrusion detection device. The drone foreign object intrusion device is used to carry a Kinect sensor, an ultrasonic bird repellent, a GPS device, and a bird-detecting radar to process and detect line images in real time, promptly discover foreign object intrusion incidents, and take countermeasures in advance. It is no longer necessary to install a large number of high-cost foreign object intrusion monitoring stations along the railway, and the technical solution directly avoids the blind spot problem of foreign object intrusion monitoring along the railway. According to the detection information of birds by the bird-detecting radar, the maneuverability of the drone device is utilized, and an ultrasonic bird repellent device is used to achieve targeted expulsion of birds in the dangerous area in real time, thereby improving the operational safety of the train.

[0004] However, the implementation of this approach presents at least the following technical challenges: On ramps and curves, human vision is obstructed, making accurate identification impossible. Currently, a vehicle is equipped with video cameras, which travel alongside the high-speed train, taking photos at a 10-second interval and then analyzing the images. This method suffers from excessive data redundancy, as some areas along the high-speed train line lack hazardous trees (such as bridges). Furthermore, flat photos cannot determine depth of field, resulting in depth errors and a perspective effect where objects appear larger when closer and smaller when farther away. This often results in the image showing a normal number of trees behind the vehicle, even though they are not present, leading to misjudgments. Placing a separate device on the vehicle would compromise the vehicle's overall appearance due to the excessive number of external devices. Therefore, a multi-ecological numerical detection device for hazardous trees is urgently needed. Summary of the Invention

[0005] In view of the above technical problems, the present disclosure provides a multi-ecological numerical detection device based on dangerous trees, which solves the technical problem in the existing technology that dangerous trees on both sides of the high-speed railway road are difficult to identify, causing dangerous trees to fall on the suspension strings and cause the lines on the suspension strings to be broken, thereby inducing high-speed railway operation accidents.

[0006] According to one aspect of the present disclosure, a multi-ecological numerical detection device based on dangerous trees is provided, wherein a plurality of suspension strings are arranged in an array at intervals along the extension direction of the track, and a detection component is installed on the suspension string, wherein the detection component includes a switch component and at least one recording component, the switch component includes a rotating paddle, and a pressure sensor is provided at the bottom of the rotating paddle to realize that the wind speed drives the rotating paddle to rotate and the suction force compresses the pressure sensor when a high-speed train passes by, the rotating paddle and the pressure sensor are connected in series at the start and stop control end of the recording component, the recording component is installed on the side of the suspension string away from the track, and the recording component is connected to a workstation via a data transmission module, and the workstation is provided with a computer to store and display the information recorded by the recording component.

[0007] In some embodiments of the present disclosure, a recording component is installed every 1 to 3 suspension strings.

[0008] In some embodiments of the present disclosure, the recording component includes a camera, and a mask with a scale is installed in the camera so that auxiliary judgment lines are included on the recorded image.

[0009] In some embodiments of the present disclosure, the data transmission module is a wired transmission module.

[0010] In some embodiments of the present disclosure, the data transmission module is a wireless transmission module, and the data transmission module includes an image acquisition chip, which is an OV6620 sensor to convert analog image signals into digital signals in YUV format. The image acquisition chip is connected to an image compression chip via a communication interface, and the communication interface includes a FLEX10K20 chip. The image compression chip is a TMS320VC5416 processor, which performs image compression encoding on digital signals according to the JPEG standard. The image compression chip is connected to a controller via a memory, and the controller is an S3C4510B chip to send the compressed image data to a computer in a workstation according to the TCP\IP protocol and receive commands from the computer.

[0011] The beneficial effects of the present invention are:

[0012] When a high-speed train passes, the wind speed drives the propellers to rotate and the suction force compresses the pressure sensor, automatically starting and stopping the camera. This improves the system's energy efficiency and reduces unnecessary energy consumption. It can quickly respond to changes in wind speed when a high-speed train passes, and the camera components are rationally distributed, ensuring effective environmental monitoring along the entire railway line. Avoiding overcrowding reduces construction and maintenance costs, ensuring comprehensive monitoring coverage while maintaining economic efficiency. A mask with a scale installed within the camera and auxiliary judgment lines on the recorded image facilitate more precise analysis of object location, size, and other information. This facilitates image analysis, and the angle adjustment mechanism allows the camera to operate at different angles to accommodate diverse shooting needs. A hydraulic cylinder drives the crossbar left and right, allowing for precise control of the camera's angle to ensure optimal shooting quality. The wireless transmission module offers high flexibility, eliminating the need for wiring and facilitating installation and relocation. The combination of the propellers and pressure sensors facilitates image analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 This is a schematic diagram of the structure of a multi-ecological numerical detection device based on dangerous trees;

[0014] Figure 2 for Figure 1 A magnified view of the structure of part A;

[0015] The names of the components in the figure are: 1. Switch component; 2. Recording component; 3. Rotating paddle; 4. Workstation; 5. Suspension string. DETAILED DESCRIPTION

[0016] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention and are not used to limit the present invention. Example 1

[0017] This example discloses a multi-ecological numerical detection device based on dangerous trees, see Figures 1 to 2 A plurality of suspension strings 5 ​​are arranged in an array at intervals along the extension direction of the track, and a detection component is installed on the suspension string 5. The detection component includes a switch component 1 and at least one recording component 2. The switch component 1 includes a rotating paddle 3. A pressure sensor is provided at the bottom of the rotating paddle 3 to realize that the wind speed drives the rotating paddle 3 to rotate and the suction force compresses the pressure sensor when the high-speed train passes. The rotating paddle 3 and the pressure sensor are connected in series to the start and stop control end of the recording component 2. The recording component 2 is installed on the side of the suspension string away from the track. The recording component 2 is connected to the workstation 4 via a data transmission module. The workstation 4 is equipped with a computer to store and display the information recorded by the recording component.

[0018] A video recording component 2 is installed every 1 to 3 hanging strings 5.

[0019] The recording component 2 includes a camera, and a mask with scales is installed in the camera so that auxiliary judgment lines are included on the recorded image.

[0020] The data transmission module is a wired transmission module.

[0021] The data transmission module is a wireless transmission module, which includes an image acquisition chip. The image acquisition chip is an OV6620 sensor, which converts analog image signals into digital signals in YUV format. The image acquisition chip is connected to the image compression chip via a communication interface. The communication interface includes a FLEX10K20 chip. The image compression chip is a TMS320VC5416 processor, which performs image compression encoding on digital signals according to the JPEG standard. The image compression chip is connected to the controller via a memory. The controller is an S3C4510B chip, which sends the compressed image data to the computer in the workstation according to the TCP\IP protocol and receives commands from the computer.

[0022] During operation, several droppers 5 are arrayed along the track's extension, with detection components installed every one to three droppers. When a high-speed train approaches, the resulting wind speed drives the rotor 3 to rotate. Simultaneously, the suction generated by the passing train compresses the pressure sensor located at the base of the rotor 3. The rotor 3 and the pressure sensor are connected in series to the start / stop control terminal of the recording unit 2. Once sufficient wind speed or suction is detected, the switch 1 automatically activates the recording unit 2. When the train moves away, the sensing decreases, and the recording unit 2 stops. The camera in the recording unit 2 is equipped with a mask with a scale, providing auxiliary judgment lines on the recorded image for subsequent analysis. The recording unit 2 records the environmental conditions of the train as it passes, including the track and surrounding facilities. For the wireless transmission module, the OV6620 sensor converts the analog image signal into a digital signal in YUV format. The TMS320VC5416 processor compresses and encodes the digital signal according to the JPEG standard, reducing the data volume for easier transmission. If a wired transmission module is used, the data is directly transmitted via cable to the computer in the workstation 4. If wireless transmission is used, the S3C4510B chip is responsible for sending compressed image data to the computer in the workstation using the TCP / IP protocol and receiving commands from the computer. The FLEX10K20 chip connects the image acquisition chip and the image compression chip to ensure smooth data transmission. The computer in workstation 4 receives the image data. Using the recorded image information, combined with other monitoring methods (such as vibration and temperature), a comprehensive environmental assessment along the railway line is conducted, allowing potential problems to be identified and addressed promptly.

[0023] In this application, the paddle 3 and the pressure sensor are connected in series to the start / stop control terminal of the recording unit 2. Therefore, the recording unit will only be activated when both the paddle and the pressure sensor meet the working conditions. In windy weather, the paddle 3 may erroneously rotate. However, due to the limited intensity of the strong wind, the pressure sensor will not sense the strong attraction caused by a high-speed train passing by, and therefore the recording unit will not be activated, greatly reducing the probability of false detection. Moreover, the wind intensity required to cause a false detection would need to be strong enough to blow a 60kg person into the direction of the paddle and the pressure sensor, and such strong wind intensity is extremely rare. Therefore, there is almost no false detection situation that requires distinguishing normal operation.

[0024] The inventor of this application has been working on the front lines for a long time. In the early stages of equipment development, screening the image database required a lot of manual work, which was labor-intensive, inefficient, and costly. The inventor deeply understood these pain points and implemented an innovative design, taking measures to activate recording only when a high-speed train was passing. This application effectively reduces unnecessary workload when no trains are passing, greatly reduces the amount of image acquisition information, and thus reduces the workload of subsequent image screening. This not only saves storage space, but also reduces the computing resources required to process and analyze images, further improving operational efficiency.

[0025] Although some preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including all changes and modifications that fall within the scope of the present invention as well as the preferred embodiments.

[0026] Obviously, those skilled in the art may make various modifications and variations to the present invention without departing from the spirit and scope of the present invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of this application and their equivalents, the present invention is intended to include such modifications and variations.

Claims

1. A multi-ecological numerical detection device based on dangerous trees, characterized by: A plurality of suspension strings are arranged in an array at intervals along the extension direction of the track, and a detection component is installed on the suspension string. The detection component includes a switch component and at least one recording component. The switch component includes a rotating paddle. A pressure sensor is provided at the bottom of the rotating paddle to realize that the wind speed drives the rotating paddle to rotate and the suction force compresses the pressure sensor when a high-speed train passes. The rotating paddle and the pressure sensor are connected in series to the start and stop control end of the recording component. The recording component is installed on the side of the suspension string away from the track. The recording component is connected to a workstation via a data transmission module. The workstation is equipped with a computer to store and display information recorded by the recording component.

2. The multi-ecological numerical detection device based on dangerous trees according to claim 1, characterized in that: A recording component is installed every 1 to 3 hanging strings.

3. The multi-ecological numerical detection device based on dangerous trees according to claim 1, characterized in that: The recording component includes a camera, and a mask with scales is installed in the camera so that auxiliary judgment lines are included on the recorded image.

4. The multi-ecological numerical detection device based on dangerous trees according to claim 1, characterized in that: The data transmission module is a wired transmission module.

5. The multi-ecological numerical detection device based on dangerous trees according to claim 1, characterized in that: The data transmission module is a wireless transmission module, which includes an image acquisition chip. The image acquisition chip is an OV6620 sensor, which converts analog image signals into digital signals in YUV format. The image acquisition chip is connected to an image compression chip via a communication interface. The communication interface includes a FLEX10K20 chip. The image compression chip is a TMS320VC5416 processor, which performs image compression encoding on digital signals according to the JPEG standard. The image compression chip is connected to a controller via a memory. The controller is an S3C4510B chip, which sends compressed image data to a computer in a workstation according to the TCP\IP protocol and receives commands from the computer.

Images