Railway locomotive transportation operation supervision system based on AI intelligent video technology

Abstract

The utility model relates to a railway locomotive transportation operation supervision system based on an AI intelligent video technology. The railway locomotive transportation operation supervision system comprises a microprocessor, an AI camera, a plurality of infrared intelligent sensing cameras, an image processing module, a smoke temperature sensor, an A / D converter, a wireless communication module, a display module, a sound-light alarm module and a power supply module. And the wireless communication module is also connected with a monitoring platform. According to the utility model, the AI camera and the plurality of infrared intelligent sensing cameras are adopted, the image processing and identification technology is utilized, processed images are transmitted to the microprocessor for data processing, and the smoke temperature sensor is utilized to monitor the electric appliance cabinet, the equipment room and the machinery room; and the data is transmitted to the microprocessor and is transmitted to the monitoring platform, the display screen and the sound-light alarm module through the wireless communication module. Various common faults are monitored in real time, the early warning capability is high, and the safety and scientificity of operation management of the railway transport locomotive are effectively improved.

Description

Technical Field

[0001] The utility model belongs to the technical field of railway transport locomotive supervision systems, and in particular relates to a railway locomotive transport operation supervision system based on AI intelligent video technology. Background Art

[0002] Railway locomotives have the advantages of large carrying capacity, strong transportation capacity and low transportation cost. As various railway transportations continue to promote informatization construction, continue to promote new generation information technologies such as big data, artificial intelligence, and the Internet of Things, and realize industrial optimization and upgrading, innovative development, and at the same time, with the increase in railway speed, there are more stringent requirements for locomotive drivers' driving concentration and response capabilities to emergencies. In the field of railway locomotive safety, behind every serious accident are minor and attempted accidents, as well as many safety hazards. There is a technical problem in the existing technology that the monitoring of the driving status of locomotive drivers is relatively mechanical and rigid, resulting in insufficient effectiveness in avoiding locomotive driving risks.

[0003] In addition, locomotive equipment will generate heat during normal operation. Due to the environment, processing technology and other reasons, the connection parts of lines and equipment are not tightly crimped, the pressure is insufficient, and the contact parts between contacts change, causing the contact resistance to increase, and the heating phenomenon will be more obvious. This will accelerate the aging of locomotive equipment lines and cause major power accidents. In particular, important parts such as switch cabinet contacts, disconnectors, busbars, cable joints, reactor windings, and transformer windings in the power system will generate heat during long-term operation due to long-term high current operation, poor plug-in, loose joints, busbar creep, etc., and the temperature of these heating parts is difficult to detect in time. At present, the supervision method still relies on the staff to complete it regularly, which is time-consuming and labor-intensive, and the hidden dangers cannot be discovered in time. The welding points and joints of some locomotive equipment are located at the inner end that is inconvenient to touch, which brings great inconvenience to the inspection personnel. Utility Model Content

[0004] The purpose of the utility model is to provide a railway locomotive transport operation supervision system based on AI intelligent video technology, which is used to solve the safety problems of railway transport locomotive operation existing in the prior art.

[0005] The purpose of the utility model is achieved in this way.

[0006] The utility model discloses a railway locomotive transport operation supervision system based on AI intelligent video technology, which is characterized by comprising a microprocessor, an AI camera, a plurality of infrared intelligent sensing cameras, an image processing module, a smoke temperature sensor, an A / D converter, a wireless communication module, a display module, an audio and video alarm module and a power supply module;

[0007] The microprocessor is respectively connected to the image processing module, the A / D converter, the sound and light alarm module and the wireless communication module, the display module and the power module; the image processing module is also respectively connected to the AI ​​camera and a plurality of infrared intelligent perception cameras; the A / D converter is connected to the smoke temperature sensor;

[0008] The AI ​​camera is arranged in the cab to capture the working status of the railway locomotive driver, and multiple infrared intelligent sensing cameras are arranged in front and behind each locomotive to capture images of the locomotive driving environment, coupler status, driving section, and driving signal.

[0009] The image processing module is used to transmit the identification signals of the AI ​​camera and multiple infrared intelligent perception cameras to the microprocessor, the wireless communication module is used to send the real-time monitoring of the railway locomotive to the outside, the smoke temperature sensor is set in the electrical cabinet, equipment room and machinery room; it is used to send the collected real-time temperature measurement signals of the electrical cabinet, equipment room and machinery room to the microprocessor after conversion by the A / D converter, the alarm module is used to sound and light alarm when the AI ​​camera, multiple infrared intelligent perception cameras and smoke temperature sensor detect abnormal signals; the display module is connected to the microprocessor, and is used to display the driver's working status, the road conditions before and after each locomotive, and the temperature of the electrical cabinet, equipment room and machinery room output by the microprocessor, and the power supply module is used to power each component in the system.

[0010] Preferably, the railway locomotive transport operation supervision system based on AI intelligent video technology is characterized in that the wireless communication module is also connected to a monitoring platform.

[0011] Preferably, the communication mode of the wireless communication module is 4G / 5G / WiFi.

[0012] Preferably, the display module is a touch display screen.

[0013] Compared with the prior art, the utility model has the following advantages: the utility model adopts AI cameras and multiple infrared intelligent sensing cameras, utilizes image processing and recognition technology, and transmits the processed images to the microprocessor for data processing, and uses smoke temperature sensors to monitor electrical cabinets, equipment rooms and mechanical rooms; and transmits the processed data information to the microprocessor, which transmits the processed data information to the connected monitoring platform, display screen and sound and light alarm module through the wireless communication module, which can intelligently warn the operation status of railway locomotives, effectively avoid the occurrence of safety accidents caused by the driver's negligence in observation or blind spots, and nip the potential safety hazards in the bud in various scenes of people, vehicles and roads; it has strong early warning capabilities and good stability, and effectively improves the safety and scientificity of railway locomotive operation management. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 The utility model is a block diagram of a railway locomotive transport operation supervision system based on AI intelligent video technology. DETAILED DESCRIPTION

[0015] The utility model will be further described below in conjunction with the accompanying drawings.

[0016] like Figure 1 As shown, the utility model is a railway locomotive transportation operation supervision system based on AI intelligent video technology, including a microprocessor, an AI camera, multiple infrared intelligent sensing cameras, an image processing module, a smoke temperature sensor, an A / D converter, a wireless communication module, a display module, an audio and video alarm module and a power module;

[0017] The microprocessor is respectively connected to the image processing module, the A / D converter, the sound and light alarm module and the wireless communication module, the display module and the power module; the image processing module is also respectively connected to the AI ​​camera and a plurality of infrared intelligent perception cameras; the A / D converter is connected to the smoke temperature sensor;

[0018] The AI ​​camera is arranged in the cab to capture the working status of the railway locomotive driver, and multiple infrared intelligent sensing cameras are arranged in front and behind each locomotive to capture images of the locomotive driving environment, coupler status, driving section, and driving signal.

[0019] The image processing module is used to transmit the identification signals of the AI ​​camera and multiple infrared intelligent perception cameras to the microprocessor, the wireless communication module is used to send the real-time monitoring of the railway locomotive to the outside, the smoke temperature sensor is set in the electrical cabinet, equipment room and machinery room; it is used to send the collected real-time temperature measurement signals of the electrical cabinet, equipment room and machinery room to the microprocessor after conversion by the A / D converter, the alarm module is used to sound and light alarm when the AI ​​camera, multiple infrared intelligent perception cameras and smoke temperature sensor detect abnormal signals; the display module is connected to the microprocessor, and is used to display the driver's working status, the road conditions before and after each locomotive, and the temperature of the electrical cabinet, equipment room and machinery room output by the microprocessor, and the power supply module is used to power each component in the system.

[0020] The AI ​​camera described in the utility model can perform video analysis processing on the captured images or videos. The video analysis will read the video frame by frame in the video processing, and for each frame, image processing will be performed to extract features from the frame.

[0021] The road condition perception cameras described in the utility model all adopt cameras with starlight night vision imaging technology and have high definition.

[0022] The smoke temperature sensor described in the utility model is a visible light + smoke temperature fusion sensor. The smoke temperature sensor adopts a high-performance 2-megapixel 1 / 2.8-inch CMOS image sensor with good low-illumination effect and high image clarity. It can output 2 million (1920×1080) @25fps real-time images, support H.265 encoding, high compression ratio, and achieve ultra-low bit rate transmission; built-in speaker, support local voice alarm reminder; support wide dynamic, 3D noise reduction, strong light suppression, backlight compensation, suitable for different monitoring environments; each channel can independently edit and set the area position, digitally superimpose the smoke and temperature values ​​of each channel, and the warning threshold of the warning area can be set independently; when a warning occurs in a certain area, the area within the channel calibrated on the display screen will flash red, voice reminder alarm, and link the related video screen to zoom in; simple structure, strong real-time performance, high sensitivity, and low false alarm rate.

[0023] The image processing module is used to receive driving environment images, coupler status processing images, driving section images, driving signal images and cab images for processing, obtain driving environment processing images, driving section processing images, driving signal processing images and cab processing images, and send them to the microprocessor.

[0024] The wireless communication module is also connected to the monitoring platform. The microprocessor receives and classifies the images of the driving environment, the coupler status, the driving section, the driving signal, the electrical cabinet, the equipment status, and the cab. The image feedback recognition result is obtained and stored in real time. If the recognition result deviates from the predetermined threshold, an audible and visual alarm instruction is sent, and the recognition result is sent to the display module. The real-time information is transmitted to the monitoring platform through the wireless communication module, which is convenient for remote supervision of the running locomotive. The communication mode of the wireless communication module is 4G / 5G / WiFi.

Claims

1. A railway locomotive transportation operation supervision system based on AI intelligent video technology, characterized by: It includes a microprocessor, an AI camera, multiple infrared intelligent sensing cameras, an image processing module, a smoke temperature sensor, an A / D converter, a wireless communication module, a display module, an audio and visual alarm module, and a power module; The microprocessor is respectively connected to the image processing module, the A / D converter, the sound and light alarm module and the wireless communication module, the display module and the power module; the image processing module is also respectively connected to the AI ​​camera and a plurality of infrared intelligent perception cameras; the A / D converter is connected to the smoke temperature sensor; The AI ​​camera is arranged in the cab to capture the working status of the railway locomotive driver, and multiple infrared intelligent sensing cameras are arranged in front and behind each locomotive to capture images of the locomotive driving environment, coupler status, driving section, and driving signal. The image processing module is used to transmit the identification signals of the AI ​​camera and multiple infrared intelligent perception cameras to the microprocessor, the wireless communication module is used to send the real-time monitoring of the railway locomotive to the outside, the smoke temperature sensor is set in the electrical cabinet, equipment room and machinery room; it is used to send the collected real-time temperature measurement signals of the electrical cabinet, equipment room and machinery room to the microprocessor after conversion by the A / D converter, the alarm module is used to perform sound and light alarm when the AI ​​camera, multiple infrared intelligent perception cameras and smoke temperature sensor detect abnormal signals; the display module is connected to the microprocessor, and is used to display the driver's working status, the road conditions before and after each locomotive, and the temperature of the electrical cabinet, equipment room and machinery room output by the microprocessor, and the power supply module is used to power each component in the system.

2. According to claim 1, the railway locomotive transportation operation supervision system based on AI intelligent video technology is characterized in that: The wireless communication module is also connected to the monitoring platform.

3. According to claim 1, the railway locomotive transportation operation supervision system based on AI intelligent video technology is characterized in that: The communication mode of the wireless communication module is 4G / 5G / WiFi.

4. According to claim 1, the railway locomotive transportation operation supervision system based on AI intelligent video technology is characterized in that: The display module is a touch display screen.

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