A non-contact infrared temperature measurement security inspection system and method for new energy vehicle chassis

Abstract

The present invention relates to a non-contact infrared temperature measurement security inspection system and method for a new energy vehicle chassis. The system includes at least one license plate recognition camera, at least two geomagnetic sensors, a chassis infrared scanning array, and a security inspection operation table. The chassis infrared scanning array includes a waterproof housing and a plurality of infrared card-type cameras arranged in the waterproof housing. The security inspection operation table includes a geomagnetic signal receiver, a computing workstation, and a display screen. Before the new energy vehicle boards, a non-contact infrared temperature measurement scan is performed on the chassis of the new energy vehicle using the infrared card-type camera to generate a corresponding infrared image video stream. The computing workstation equipped with parallel computing acceleration hardware uses image splicing, infrared image recognition, and other technologies to automatically identify local overheating areas of the chassis and alarm when the temperature exceeds a threshold, thereby effectively detecting potential problems such as motor overheating, battery overheating, and line aging, wear, short circuit, and overheating in the new energy vehicle.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy vehicle safety detection technology, and in particular to a non-contact infrared temperature measurement safety inspection system and method for a new energy vehicle chassis, which is suitable for chassis safety detection of a new energy vehicle before boarding a roll-on / roll-off ferry to cross the sea or river. Background Art

[0002] In recent years, China has vigorously developed the new energy vehicle industry, with the number and market share of new energy vehicles increasing year by year. However, thermal runaway fires caused by the power batteries of new energy vehicles are a common occurrence. These fires are characterized by sudden onset, rapid spread, and easy rekindling. In areas where bridges and tunnels are not yet built, ferries are the only means of transportation for vehicles crossing seas and rivers. Ro-ro ferries can take anywhere from a dozen minutes to several hours. If a new energy vehicle fire occurs while aboard a ferry, emergency response is extremely challenging due to the relatively cramped space onboard and limited rescue equipment and resources.

[0003] The new energy vehicles used for household use crossing sea and river routes on ro-ro ferries vary widely in brand, age, condition, and battery SOC. Prior to boarding the ferry, these vehicles may have experienced long, high-speed journeys, leading to motor and battery overheating. Furthermore, unexposed battery packs may be damaged by bumps and bumps, and wiring may be worn and short-circuited due to aging. Practice has shown that nearly all electrical and mechanical equipment generates heat before a failure occurs. Infrared thermal imaging temperature measurement technology, an effective preventive maintenance tool, can promptly, quickly, and accurately detect potential faults before they develop into serious problems.

[0004] Currently, the primary inspection methods used by ro-ro ferries for transporting new energy vehicles (NEVs) are visible light chassis scanning systems and manual visual inspections using specialized chassis reflective mirrors. These systems can only detect prohibited items and obvious damage to the chassis. They are unable to detect abnormal temperatures in the chassis area or potential faults, making them inadequate for comprehensive pre-boarding inspections of NEVs and presenting significant security vulnerabilities. Summary of the Invention

[0005] To address the security vulnerabilities caused by the inability of existing detection methods to detect abnormal chassis temperatures in new energy vehicles, this invention proposes a non-contact infrared temperature measurement and security inspection system for new energy vehicle chassis. This system performs a non-contact temperature scan on the chassis of a new energy vehicle before it embarks, automatically identifying overheated areas in the chassis and issuing an alarm. This effectively detects potential problems such as motor overheating, battery overheating, and overheating due to aging, wear, and short circuits caused by circuit aging. The invention also relates to a non-contact infrared temperature measurement and security inspection method for new energy vehicle chassis.

[0006] The technical solutions of the present invention are as follows:

[0007] A non-contact infrared temperature measurement security inspection system for new energy vehicle chassis is used to perform safety inspections on new energy vehicle chassis within the security inspection area. It is characterized by comprising:

[0008] At least one license plate recognition camera, located above or on the side of the entrance to the security inspection area, is used to capture the license plate number of a new energy vehicle entering the security inspection area and transmit the license plate number to a computing workstation;

[0009] At least two geomagnetic sensors are respectively installed on the ground at the entrance and exit of the security inspection area to sense the new energy vehicle entering and exiting the security inspection area and generate corresponding geomagnetic trigger signals;

[0010] A chassis infrared scanning array is embedded in the ground of the security inspection area and located between the geomagnetic sensor on the ground at the entrance and exit of the security inspection area. The array includes a waterproof housing and a plurality of infrared card-type cameras disposed within the waterproof housing. The infrared card-type cameras are arranged in one or more rows perpendicular to the direction of travel of the new energy vehicle. The waterproof housing is provided with an infrared penetrating window on the side facing the ground. The infrared card-type cameras perform non-contact infrared temperature measurement on the chassis of the new energy vehicle through the infrared penetrating window, generate a corresponding infrared image video stream, and transmit it to the computing workstation.

[0011] A security inspection console is located near the security inspection area and includes a geomagnetic signal receiver, a computing workstation and a display screen.

[0012] The geomagnetic signal receiver is used to receive the geomagnetic trigger signal of the geomagnetic sensor and transmit it to the computing workstation; the computing workstation is equipped with parallel computing acceleration hardware, which is used to receive the geomagnetic trigger signal sent by the geomagnetic signal receiver; obtain the license plate number from the license plate recognition camera; control the start and stop of the temperature measurement scanning operation of the infrared card-type camera in the chassis infrared scanning array; receive the infrared image video stream output by each infrared card-type camera, and synchronously extract single-frame images from multiple infrared image video streams and then use image stitching technology to synthesize the entire chassis infrared temperature image to reconstruct the thermal distribution map and display it on the display screen, use infrared image recognition technology to automatically identify temperature abnormal areas in the thermal distribution map, trigger an alarm when the local temperature exceeds a preset threshold, and generate discrimination data including abnormal area information and alarm status, and use the license plate number combined with the UTC timestamp as the unique identifier for the chassis infrared temperature image and discrimination data storage.

[0013] Preferably, the chassis infrared scanning array is installed by being embedded in the ground of the security inspection area, with its upper surface flush with the ground. It also includes an Ethernet switch arranged in a waterproof housing. The infrared card-type cameras are deployed in multiple rows in a direction perpendicular to the driving direction of the new energy vehicle and are all connected to the Ethernet switch. The imaging areas of two adjacent infrared card-type cameras in each row overlap to ensure the complete capture of the infrared image. The infrared penetration window is a germanium glass window. The size and number of the germanium glass window match the multiple rows of infrared card-type cameras. The infrared card-type cameras generate corresponding infrared image video streams that are transmitted to the computing workstation through the Ethernet switch.

[0014] Preferably, the computing workstation synchronously extracts single-frame images from multiple infrared image video streams, and then uses image stitching technology based on image distortion correction, image enhancement, image feature extraction, image feature tracking, and image feature matching to stitch these single-frame images into a complete chassis infrared temperature image.

[0015] Preferably, the computing workstation adopts infrared image recognition technology based on machine learning, and automatically identifies abnormal temperature gradient areas in the thermal distribution map through a pre-trained convolutional neural network. When the local temperature exceeds the threshold determined according to the new energy vehicle industry standards and historical data statistical analysis, an alarm is triggered through an audible and visual alarm, and discrimination data containing abnormal area information and alarm status is generated.

[0016] Preferably, the security inspection console also includes a data storage device, and the computing workstation uses the license plate number combined with the UTC timestamp as the unique identifier for the chassis infrared temperature image and discrimination data storage, and stores the chassis infrared temperature image and discrimination data in the data storage device to facilitate subsequent data query, management and tracing.

[0017] Preferably, the display screen is integrated with a human-computer interaction interface, which is used to: display thermal distribution maps and alarm information; receive control instructions from the operator, including starting or stopping scanning, adjusting thresholds, and querying historical data; and provide real-time feedback on system status, including scanning progress and equipment operating status.

[0018] A non-contact infrared temperature measurement and security inspection method for a new energy vehicle chassis, characterized by comprising the following steps:

[0019] Vehicle entry sensing and license plate number acquisition steps: A geomagnetic sensor installed on the ground at the entrance to the security inspection area senses the entry of a new energy vehicle into the security inspection area, generating a corresponding geomagnetic trigger signal. A geomagnetic signal receiver integrated into a security inspection console near the security inspection area receives the geomagnetic trigger signal and sends it to a computing workstation in the security inspection console. Simultaneously, a license plate recognition camera installed above or on the side of the entrance to the security inspection area captures the license plate number of the new energy vehicle, and the computing workstation obtains the license plate number from the license plate recognition camera.

[0020] Chassis infrared temperature measurement and scanning start-up step: after the computing workstation receives the geomagnetic trigger signal of the new energy vehicle entering, it synchronously starts all infrared card-type cameras in the chassis infrared scanning array embedded in the ground to start temperature measurement and recording; the chassis infrared scanning array includes a waterproof shell and a plurality of infrared card-type cameras arranged in the waterproof shell, each of the infrared card-type cameras is arranged in one or more rows along the vertical direction of the new energy vehicle's travel direction, and the waterproof shell is provided with an infrared penetration window on the side facing the ground; after starting, the infrared card-type camera performs non-contact infrared temperature measurement and recording on the chassis of the new energy vehicle through the infrared penetration window, generates a corresponding infrared image video stream and transmits it to the computing workstation; the computing workstation simultaneously receives the infrared image video stream output by all infrared card-type cameras;

[0021] Vehicle exit sensing and scanning stop step: A geomagnetic sensor installed on the ground at the exit of the security inspection area senses that the new energy vehicle has exited the security inspection area, generating a corresponding geomagnetic trigger signal. The geomagnetic signal receiver sends the geomagnetic trigger signal to the computing workstation, which stops receiving the infrared image video stream output by all infrared card cameras and stops the temperature measurement and recording work of all infrared card cameras in the chassis infrared scanning array;

[0022] Thermal distribution map reconstruction step: The computing workstation synchronously extracts single-frame images from multiple received infrared image video streams and then uses image stitching technology to synthesize the entire chassis infrared temperature image to reconstruct the thermal distribution map and display it on the screen of the security inspection console;

[0023] Abnormal area identification and alarm triggering steps: The computing workstation uses infrared image recognition technology to automatically identify abnormal temperature gradient areas in the thermal distribution map, trigger an alarm when the local temperature exceeds the threshold, and generate identification data containing abnormal area information and alarm status;

[0024] Data storage identification setting steps: The computing workstation uses the license plate number combined with the UTC timestamp as the unique identification for the chassis infrared temperature image and discrimination data storage.

[0025] Preferably, in the chassis infrared temperature measurement and scanning starting step, the imaging areas of two adjacent infrared card cameras in each row overlap to ensure complete coverage and continuous imaging of the new energy vehicle chassis.

[0026] Preferably, in the thermal distribution map reconstruction step, the computing workstation synchronously extracts single-frame images from multiple infrared image video streams, and then uses image stitching technology based on image distortion correction, image enhancement, image feature extraction, image feature tracking and image feature matching to stitch these single-frame images into a complete chassis infrared temperature image.

[0027] Preferably, in the abnormal area identification and alarm triggering step, the computing workstation adopts infrared image recognition technology based on deep learning, and automatically identifies abnormal temperature gradient areas in the thermal distribution map through a pre-trained convolutional neural network. When the local temperature exceeds the threshold determined according to the new energy vehicle industry standards and historical data statistical analysis, the alarm is triggered by sound and light alarms, and discrimination data containing abnormal area information and alarm status is generated; the computing workstation also performs historical trend analysis on the entire chassis infrared temperature image and the discrimination data to predict potential safety hazards.

[0028] The technical effects of the present invention are as follows:

[0029] The present invention relates to a non-contact infrared temperature measurement security inspection system for a new energy vehicle chassis. A chassis infrared scanning array is provided, which is embedded in the ground and installed in a manner. Infrared card-type cameras in a waterproof housing are deployed in one or more rows along a direction perpendicular to the driving direction of the new energy vehicle. An infrared penetration window is provided on the ground-facing side of the waterproof housing. The infrared card-type camera performs a non-contact infrared temperature measurement scan on the chassis of the new energy vehicle through the infrared penetration window, generates a corresponding infrared image video stream and transmits it to a computing workstation. The computing workstation equipped with parallel computing acceleration hardware uses image splicing technology, infrared image recognition technology and other technologies to automatically identify local overheating areas of the chassis, and alarms when the temperature exceeds the threshold, thereby effectively detecting potential problems such as overheating of the new energy vehicle motor, overheating of the battery, and short circuit and overheating due to aging and wear of the line. Based on the non-contact infrared temperature measurement technology, potential safety risks are discovered in advance, and new energy vehicles with chassis hidden dangers and faults are prevented from boarding a ferry roll-on / roll-off ship, significantly reducing the possibility of fire on the ferry during navigation, and ensuring the safety of people's lives and property. The present invention is also known as a new energy vehicle chassis security inspection system based on non-contact infrared temperature measurement. It is specially designed for the application scenario of ferry roll-on / roll-off ships carrying new energy vehicles across the sea or river. It fully considers the special needs and environmental characteristics of new energy vehicle security inspections in this scenario. It can quickly and efficiently complete the security inspection of the new energy vehicle chassis before boarding at the dock, without affecting the normal boarding process of the vehicle, thereby improving the safety and efficiency of ferry operations.

[0030] The present invention uses a license plate recognition camera to directly capture license plate numbers and transmit them to a computing workstation. Combined with the vehicle sensing function of the geomagnetic sensor, the system can precisely control the inspection process, ensuring accurate detection data for each vehicle, thereby improving the safety and reliability of the entire security inspection system. The chassis infrared scanning array utilizes several low-resolution infrared card-type cameras. Using non-contact infrared temperature measurement technology, the infrared card-type cameras perform real-time temperature scanning of the chassis of new energy vehicles, generating an infrared image video stream. This non-contact detection method avoids direct contact with the vehicle chassis, improving detection efficiency and reducing potential damage or errors caused by contact, making it particularly suitable for vehicle inspection scenarios. Furthermore, since the chassis of new energy vehicles is relatively low, this design can cover a larger scanning area, ensuring comprehensive inspection of all chassis components. Furthermore, compared to conventional, larger, high-resolution infrared cameras, an array of infrared card-type cameras is more suitable for close-range infrared temperature measurement applications on vehicle chassis. It also achieves a lightweight, compact design, making it more convenient for ground-mounted installation, reducing the difficulty of system installation and maintenance, and improving system stability and reliability.

[0031] The system is equipped with a high-performance computing workstation and parallel computing acceleration hardware (such as GPUs, NPUs, and TPUs). It can rapidly process infrared image video streams, synchronously extracting single frames and stitching them together to create a complete chassis infrared temperature image, thereby reconstructing the thermal distribution map. Combined with advanced infrared image recognition technology, the system automatically identifies areas of abnormal temperature, ensuring high-precision and reliable detection. When the local temperature exceeds a threshold determined based on new energy vehicle industry standards and statistical analysis of historical data, the system promptly triggers an audible and visual alarm to alert security personnel to the abnormal temperature area. Furthermore, the system uses the license plate number combined with a UTC timestamp as a unique identifier for data storage, storing the chassis infrared temperature image and identification data in a local data storage device for subsequent data query, management, and traceability. By analyzing large amounts of historical data, it is possible to identify the occurrence patterns of new energy vehicle chassis failures, providing strong data support for design improvements, maintenance, and the development of security inspection standards for new energy vehicles, thereby promoting the healthy development of the new energy vehicle industry. The system design of the present invention is highly flexible and scalable. The parallel computing acceleration hardware equipped in the computing workstation not only supports current high-performance computing needs, but can also adapt to new technologies that may emerge in the future (such as new parallel computing chips), ensuring the long-term applicability and technological leadership of the system.

[0032] The present invention also relates to a non-contact infrared temperature measurement security inspection method for the chassis of a new energy vehicle. The method corresponds to the above-mentioned non-contact infrared temperature measurement security inspection system for the chassis of a new energy vehicle, and can be understood as a method for realizing the non-contact infrared temperature measurement security inspection system for the chassis of a new energy vehicle, or a non-contact infrared temperature measurement security inspection method for the chassis of a new energy vehicle based on the non-contact infrared temperature measurement security inspection system for the chassis of a new energy vehicle. The method includes a vehicle entry sensing and license plate number acquisition step, a chassis infrared temperature measurement scanning start step, a vehicle exit sensing and scanning stop step, a thermal distribution map reconstruction step, an abnormal area identification and alarm triggering step, and a data storage identifier setting step. , which is suitable for chassis safety inspection of new energy vehicles before they board a ferry or roll-on / roll-off ship to cross the sea or river. It comprehensively uses non-contact infrared thermal imaging, synchronous extraction, image stitching, infrared image recognition and other technologies to perform non-contact temperature scanning on the chassis of new energy vehicles before they board the ship, forming a thermal distribution map, automatically identifying local overheating areas of the chassis, and alarming when the temperature threshold is exceeded, thereby effectively detecting hidden dangers such as overheating of the new energy vehicle motor, overheating, aging and wear of the line, short circuit and overheating, and avoiding new energy vehicles with hidden dangers and faults in the chassis area to board the ship, thereby reducing the fire safety risk of ferry roll-on / roll-off ships carrying new energy vehicles across the sea or river. The present invention provides an efficient, accurate and reliable chassis security inspection solution for new energy vehicles by integrating advanced non-contact infrared temperature measurement technology, high-performance computing acceleration hardware and intelligent image processing algorithms, significantly improving security inspection efficiency and safety, while providing broad space for the development of future technologies. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 This is a structural diagram of the non-contact infrared temperature measurement and security inspection system for the chassis of new energy vehicles of the present invention.

[0034] Figure 2 This is a schematic diagram of the horizontal arrangement of the infrared card-type camera of the present invention.

[0035] Figure 3 This is a workflow diagram of the non-contact infrared temperature measurement security inspection system for the chassis of new energy vehicles of the present invention.

[0036] Examples of the labels in the figure are as follows:

[0037] 1—License plate recognition camera; 2—Waterproof housing; 3—Infrared card camera; 4—Germanium glass window; 5—Ethernet switch; 6—Security inspection console; 61—Geomagnetic signal receiver; 62—Computing workstation; 63—Display screen; 64—Power adapter; 65—Keyboard and mouse; 66—Speaker / buzzer. DETAILED DESCRIPTION

[0038] The present invention will be described below with reference to the accompanying drawings.

[0039] Aiming at the application scenario of ferry carrying new energy vehicles across the sea or river, the present invention relates to a new energy vehicle chassis non-contact infrared temperature measurement security inspection system for performing safety inspection on the new energy vehicle chassis in the security inspection area. Figure 1 As shown, it includes at least one license plate recognition camera 1, at least two geomagnetic sensors (referred to as geomagnetic, such as Figure 1 The 1# geomagnetic sensor and the 2# geomagnetic sensor shown in the figure), a chassis infrared scanning array and a security inspection console 6. The chassis infrared scanning array includes a waterproof housing 2 and a plurality of infrared card-type cameras 3 and an Ethernet switch 5, all of which are arranged in the waterproof housing 2. The waterproof housing 2 is provided with an infrared penetrating window on the ground side. The window material has infrared penetrating properties. In this embodiment, a germanium glass window 4 is used. The security inspection console 6 integrates components such as a geomagnetic signal receiver 61, a computing workstation 62, a display screen 63, a power adapter 64, a keyboard and mouse 65, and a speaker / buzzer 66. Specifically,

[0040] The license plate recognition camera 1 is set above or on the side of the entrance to the security inspection area, and uses optical character recognition (OCR) technology to capture the license plate number of the new energy vehicle entering the security inspection area, and transmits the license plate number to the computing workstation 62.

[0041] Two geomagnetic sensors, 1# geomagnetic sensor is set on the ground at the entrance of the security inspection area, and 2# geomagnetic sensor is set on the ground at the exit of the security inspection area. They are used to sense the entry and exit of new energy vehicles in the security inspection area and generate corresponding geomagnetic trigger signals.

[0042] A chassis infrared scanning array is installed by embedding it in the ground of the security inspection area. Its upper surface is flush with the ground and is located between the 1# geomagnetic sensor on the ground at the entrance of the security inspection area and the 2# geomagnetic sensor on the ground at the exit. The waterproof shell 2 is a fully waterproof shell. The infrared card-type cameras 3 are arranged in one or more rows vertically along the direction of travel of the new energy vehicle (or arranged horizontally). This embodiment deploys multiple rows, specifically two rows arranged horizontally. All infrared card-type cameras 3 are connected to the Ethernet switch 5. The horizontal arrangement spacing of the infrared card-type cameras is as follows: Figure 2 As shown, it can ensure that the chassis of the new energy vehicle with the lowest chassis has an overlapping area in the imaging of two adjacent infrared card cameras 3 to ensure the complete capture of the infrared image. The size and number of the germanium glass windows 4 match the multiple rows of infrared card cameras 3 (such as Figure 1 Each infrared card-type camera 3 performs non-contact infrared temperature measurement scanning on the chassis of the new energy vehicle through the corresponding germanium glass window 4, generates a corresponding infrared image video stream and transmits it to the computing workstation 62 through the Ethernet switch 5.

[0043] The security inspection console 6 is set near the security inspection area, wherein the geomagnetic signal receiver 61 is used to receive the geomagnetic trigger signal of the geomagnetic sensor and transmit it to the computing workstation 62; the computing workstation 62 is equipped with parallel computing acceleration hardware, which is not limited to GPU, but can also be NPU processing unit hardware, or TPU tensor processing unit hardware, as well as other parallel computing hardware for image and data processing acceleration spawned by future new technologies; the computing workstation 62 is used to receive the geomagnetic trigger signal sent by the geomagnetic signal receiver 61; obtain the license plate number from the license plate recognition camera 1; control the infrared card camera in the chassis infrared scanning array; The camera 3 starts and stops the temperature measurement and scanning operation; receives the infrared image video streams output by each infrared card-type camera 3, synchronously extracts single frames from multiple infrared image video streams, and then uses image stitching technology to synthesize a complete chassis infrared temperature image to reconstruct the thermal distribution map and display it on the display screen 63. Infrared image recognition technology is used to automatically identify abnormal temperature areas in the thermal distribution map. When the local temperature exceeds a preset temperature threshold, an alarm is triggered and discrimination data containing abnormal area information and alarm status is generated. The license plate number combined with the UTC timestamp is used as a unique identifier for the chassis infrared temperature image and discrimination data storage. The display screen 63 integrates a human-machine interface for displaying the thermal distribution map and alarm information; receives operator control commands, including starting or stopping scanning, adjusting thresholds, and querying historical data; and provides real-time feedback on system status, including scanning progress and equipment operating status. The power adapter 64 provides stable power to the geomagnetic signal receiver 61 in the security inspection console 6, as well as equipment such as the infrared card-type cameras 3 and Ethernet switch 5 in the chassis scanning array, ensuring normal system operation. The keyboard and mouse 65 are input devices used by the operator to interact with the system and are used to control the operation of the computing workstation, such as starting or stopping scanning, adjusting thresholds, and querying data. The speaker / buzzer 66 can sound an alarm, which, in conjunction with the flashing of the human-machine interface graphics on the display screen 63, provides an alarm prompt.

[0044] The Computing Workstation 62 boasts powerful computing capabilities, meeting the demands of complex tasks such as scientific computing, engineering design, data analysis, and graphics rendering. Equipped with parallel computing acceleration hardware, it supports high-performance parallel computing. Whether performing large-scale 3D modeling and animation rendering, deep learning training and inference, or scientific data simulation, it plays a vital role, providing users with efficient computing support. Computing workstation 62 completes tasks such as thermal distribution map reconstruction, abnormal area identification and alarm triggering, and data storage identifier setting. After synchronously extracting single-frame images (i.e., time-aligned infrared images captured at the same moment) from multiple infrared image video streams (also known as infrared image frame sequences), these single-frame images are preferably stitched together using image distortion correction, image enhancement, image feature extraction, image feature tracking, and image feature matching to synthesize a complete chassis infrared temperature image, thereby reconstructing the thermal distribution map. Machine-learning-based infrared image recognition technology then automatically identifies abnormal temperature gradient areas within the thermal distribution map using a pre-trained convolutional neural network. When the local temperature exceeds a threshold determined based on new energy vehicle industry standards and historical data statistical analysis, an alarm is triggered via an audible and visual alarm, generating discriminant data containing abnormal area information and alarm status. The system is capable of rapidly processing infrared image video streams and synthesizing a complete chassis infrared temperature image through a specific image stitching technique to reconstruct the thermal distribution map. Combined with advanced infrared image recognition technology, the system can automatically identify abnormal temperature areas, ensuring high-precision and high-reliability detection.

[0045] Preferably, the security inspection console 6 also includes a data storage device, and the computing workstation 62 uses the license plate number combined with the UTC timestamp as the unique identifier for the chassis infrared temperature image and discrimination data storage, and stores the chassis infrared temperature image and discrimination data in the data storage device to facilitate subsequent data query, management and tracing.

[0046] Figure 3 This is the workflow diagram of the non-contact infrared temperature measurement security inspection system for new energy vehicle chassis based on the present invention. Before the new energy vehicle arrives at the dock and boards the ship, the infrared temperature measurement security inspection operation steps are as follows:

[0047] ① The new energy vehicle slows down and enters the security inspection area, passing over the top of the 1# geomagnetic sensor. The geomagnetic signal receiver 61 sends the geomagnetic trigger signal (or trigger result) generated by the 1# geomagnetic sensor to the computing workstation 62. At this time, the computing workstation 62 obtains the license plate number from the license plate recognition camera 1;

[0048] ②, the computing workstation 62 synchronously starts all infrared card-type cameras 3 in the chassis infrared scanning array to start recording;

[0049] ③, the computing workstation 62 simultaneously receives the infrared image video streams output by all infrared card cameras 3;

[0050] ④ The new energy vehicle leaves the security inspection area and passes over the 2# geomagnetic sensor. The geomagnetic signal receiver 61 sends the geomagnetic trigger signal (or trigger result) generated by the 2# geomagnetic sensor to the computing workstation 62. At this time, the computing workstation 62 stops receiving the infrared image video stream output by all infrared card cameras 3.

[0051] ⑤, the computing workstation 62 stops the recording work of all infrared card-type cameras 3 in the chassis infrared scanning array;

[0052] ⑥, the computing workstation 62 uses image distortion correction, image enhancement, image feature extraction, image feature tracking, image feature matching and stitching to stitch together the entire chassis infrared temperature image, thereby reconstructing the thermal distribution map and displaying it on the display screen 63 of the security inspection console 6;

[0053] ⑦, the computing workstation 62 automatically identifies areas with abnormal temperature gradients in the thermal distribution map. When the local temperature exceeds a threshold, an alarm is triggered, prompting security personnel to conduct a further in-depth inspection. The workstation also generates identification data containing information about the abnormal area and the alarm status.

[0054] ⑧, the computing workstation 62 uses the license plate number plus the UTC timestamp as the unique identifier for storing the chassis infrared scan image and identification data.

[0055] The present invention also relates to a non-contact infrared temperature measurement security inspection method for the chassis of a new energy vehicle. The method corresponds to the above-mentioned non-contact infrared temperature measurement security inspection system for the chassis of a new energy vehicle, and can be understood as a method for realizing a non-contact infrared temperature measurement security inspection system for the chassis of a new energy vehicle. The method includes a vehicle entry sensing and license plate number acquisition step, a chassis infrared temperature measurement scanning start step, a vehicle exit sensing and scanning stop step, a thermal distribution map reconstruction step, an abnormal area identification and alarm triggering step, and a data storage identifier setting step. Specifically, reference can be made to Figure 3 The process shown is:

[0056] 1. Vehicle Entry Sensing and License Plate Number Acquisition Steps: A geomagnetic sensor installed on the ground at the entrance to the security inspection area senses the entry of a new energy vehicle into the security inspection area, generating a corresponding geomagnetic trigger signal. A geomagnetic signal receiver integrated into a security inspection console near the security inspection area receives the geomagnetic trigger signal and transmits it to a computing workstation within the security inspection console. Simultaneously, a license plate recognition camera installed above or to the side of the entrance to the security inspection area captures the new energy vehicle's license plate number, and the computing workstation acquires the license plate number from the license plate recognition camera.

[0057] 2. Chassis infrared temperature measurement and scanning startup step: After the computing workstation receives the geomagnetic trigger signal of the new energy vehicle entering, it synchronously starts all infrared card-type cameras in the chassis infrared scanning array embedded in the ground to start temperature measurement and recording; the chassis infrared scanning array includes a waterproof housing and a plurality of infrared card-type cameras arranged in the waterproof housing, each of the infrared card-type cameras is arranged in one or more rows along the vertical direction of the new energy vehicle's travel direction, and the waterproof housing is provided with an infrared penetration window on the side facing the ground; after startup, the infrared card-type camera performs non-contact infrared temperature measurement and recording on the chassis of the new energy vehicle through the infrared penetration window, generates a corresponding infrared image video stream and transmits it to the computing workstation; the computing workstation simultaneously receives the infrared image video stream output by all infrared card-type cameras;

[0058] 3. Vehicle Exit Sensing and Scan Stopping Step: A geomagnetic sensor installed on the ground at the exit of the security inspection area senses the new energy vehicle exiting the security inspection area and generates a corresponding geomagnetic trigger signal. The geomagnetic signal receiver transmits the geomagnetic trigger signal to the computing workstation, which stops receiving the infrared image video stream output by all infrared card cameras and stops the temperature measurement and recording work of all infrared card cameras in the chassis infrared scanning array.

[0059] 4. Thermal distribution map reconstruction step: The computing workstation synchronously extracts single-frame images from the multiple infrared image video streams received and then uses image stitching technology to synthesize the entire chassis infrared temperature image to reconstruct the thermal distribution map and display it on the screen of the security inspection console;

[0060] 5. Abnormal area identification and alarm triggering steps: The computing workstation uses infrared image recognition technology to automatically identify abnormal temperature gradient areas in the thermal distribution map, trigger an alarm when the local temperature exceeds the threshold, and generate identification data containing abnormal area information and alarm status;

[0061] 6. Data storage identification setting steps: The computing workstation uses the license plate number combined with the UTC timestamp as the unique identification for the chassis infrared temperature image and discrimination data storage.

[0062] Furthermore, in the chassis infrared temperature measurement and scanning starting step, the imaging areas of two adjacent infrared card cameras in each row overlap to ensure complete coverage and continuous imaging of the new energy vehicle chassis.

[0063] Furthermore, in the thermal distribution map reconstruction step, the computing workstation synchronously extracts single-frame images from multiple infrared image video streams, and then uses image stitching technology based on image distortion correction, image enhancement, image feature extraction, image feature tracking and image feature matching to stitch these single-frame images into a complete chassis infrared temperature image.

[0064] Furthermore, in the abnormal area identification and alarm triggering step, the computing workstation adopts infrared image recognition technology based on deep learning, and automatically identifies abnormal temperature gradient areas in the thermal distribution map through a pre-trained convolutional neural network. When the local temperature exceeds the threshold determined according to the new energy vehicle industry standards and historical data statistical analysis, an alarm is triggered through an audible and visual alarm to generate discrimination data containing abnormal area information and alarm status.

[0065] Furthermore, the computing workstation also performs a historical trend analysis on the entire chassis infrared temperature image and the discrimination data to predict potential safety hazards.

[0066] The present invention is based on a non-contact infrared temperature measurement security inspection system and method for the chassis of new energy vehicles. Aiming at the application scenario of ferry roll-on / roll-off ships carrying new energy vehicles across the sea or river, the present invention provides an efficient, accurate and reliable new energy vehicle chassis security inspection solution by integrating advanced non-contact infrared temperature measurement technology, high-performance computing acceleration hardware and intelligent image processing algorithms (image stitching technology, infrared image recognition, etc.). The solution can automatically identify local overheating areas of the chassis and alarm when the temperature exceeds the threshold, thereby effectively detecting hidden dangers such as overheating of the new energy vehicle motor, overheating, aging and wear of the lines, short circuit and overheating, etc., improving the efficiency and safety of security inspection, preventing new energy vehicles with chassis hidden dangers and faults from boarding ferry roll-on / roll-off ships, significantly reducing the possibility of fire during the ferry's voyage, and ensuring the safety of people's lives and property.

[0067] It should be noted that the specific embodiments described above can enable those skilled in the art to more fully understand the present invention, but do not limit the present invention in any way. Therefore, although this specification has described the present invention in detail with reference to the drawings and embodiments, those skilled in the art should understand that the present invention can still be modified or replaced with equivalents. In short, all technical solutions and improvements that do not depart from the spirit and scope of the present invention should be included in the scope of protection of the patent for the present invention.

Claims

1. A non-contact infrared temperature measurement security inspection system for new energy vehicle chassis, used for safety inspection of new energy vehicle chassis within the security inspection area, characterized by: include: At least one license plate recognition camera, located above or on the side of the entrance to the security inspection area, is used to capture the license plate number of a new energy vehicle entering the security inspection area and transmit the license plate number to a computing workstation; At least two geomagnetic sensors are respectively installed on the ground at the entrance and exit of the security inspection area to sense the new energy vehicle entering and exiting the security inspection area and generate corresponding geomagnetic trigger signals; A chassis infrared scanning array is embedded in the ground of the security inspection area and located between the geomagnetic sensor on the ground at the entrance and exit of the security inspection area. The array includes a waterproof housing and a plurality of infrared card-type cameras disposed within the waterproof housing. The infrared card-type cameras are arranged in one or more rows perpendicular to the direction of travel of the new energy vehicle. The waterproof housing is provided with an infrared penetrating window on the side facing the ground. The infrared card-type cameras perform non-contact infrared temperature measurement on the chassis of the new energy vehicle through the infrared penetrating window, generate a corresponding infrared image video stream, and transmit it to the computing workstation. A security inspection console is located near the security inspection area and includes a geomagnetic signal receiver, a computing workstation and a display screen. The geomagnetic signal receiver is used to receive the geomagnetic trigger signal from the geomagnetic sensor and transmit it to the computing workstation; The computing workstation is equipped with parallel computing acceleration hardware and is used to receive the geomagnetic trigger signal sent by the geomagnetic signal receiver; The license plate number is obtained from the license plate recognition camera; the start and stop of the temperature measurement scanning operation of the infrared card-type camera in the chassis infrared scanning array is controlled; the infrared image video stream output by each infrared card-type camera is received, and a single frame image is synchronously extracted from multiple infrared image video streams, and then the image stitching technology is used to synthesize the entire chassis infrared temperature image to reconstruct the thermal distribution map and display it on the display screen, and the infrared image recognition technology is used to automatically identify the temperature abnormal area in the thermal distribution map, and an alarm is triggered when the local temperature exceeds a preset threshold, and discrimination data including abnormal area information and alarm status is generated, and the license plate number is combined with the UTC timestamp as the unique identifier for the chassis infrared temperature image and discrimination data storage.

2. The non-contact infrared temperature measurement security inspection system for the chassis of a new energy vehicle according to claim 1 is characterized in that: The chassis infrared scanning array is installed by being embedded in the ground of the security inspection area, with its upper surface flush with the ground. It also includes an Ethernet switch set in a waterproof housing. The infrared card-type cameras are deployed in multiple rows in a direction perpendicular to the driving direction of the new energy vehicle and are all connected to the Ethernet switch. The imaging areas of two adjacent infrared card-type cameras in each row overlap to ensure the complete capture of the infrared image. The infrared penetration window is a germanium glass window. The size and number of the germanium glass windows match the multiple rows of infrared card-type cameras. The infrared card-type cameras generate corresponding infrared image video streams that are transmitted to the computing workstation via the Ethernet switch.

3. The non-contact infrared temperature measurement security inspection system for the chassis of a new energy vehicle according to claim 1 or 2, characterized in that: The computing workstation synchronously extracts single-frame images from multiple infrared image video streams, and then uses image stitching technology based on image distortion correction, image enhancement, image feature extraction, image feature tracking, and image feature matching to stitch these single-frame images into a complete chassis infrared temperature image.

4. The non-contact infrared temperature measurement security inspection system for the chassis of a new energy vehicle according to claim 3 is characterized in that: The computing workstation uses infrared image recognition technology based on machine learning to automatically identify abnormal temperature gradient areas in the thermal distribution map through a pre-trained convolutional neural network. When the local temperature exceeds the threshold determined based on new energy vehicle industry standards and statistical analysis of historical data, an alarm is triggered through an audible and visual alarm, generating discrimination data containing abnormal area information and alarm status.

5. The non-contact infrared temperature measurement security inspection system for the chassis of a new energy vehicle according to claim 1 is characterized in that: The security inspection console also includes a data storage device. The computing workstation uses the license plate number combined with the UTC timestamp as the unique identifier for storing the chassis infrared temperature image and discrimination data, and stores the chassis infrared temperature image and discrimination data in the data storage device to facilitate subsequent data query, management and tracing.

6. The non-contact infrared temperature measurement security inspection system for the chassis of a new energy vehicle according to claim 1 is characterized in that: The display screen integrates a human-computer interaction interface for: displaying thermal distribution maps and alarm information; receiving control instructions from operators, including starting or stopping scanning, adjusting thresholds, and querying historical data; and providing real-time feedback on system status, including scanning progress and equipment operating status.

7. A non-contact infrared temperature measurement and security inspection method for the chassis of a new energy vehicle, characterized in that: The steps include: Vehicle entry sensing and license plate number acquisition steps: A geomagnetic sensor installed on the ground at the entrance to the security inspection area senses the entry of a new energy vehicle into the security inspection area, generating a corresponding geomagnetic trigger signal. A geomagnetic signal receiver integrated into a security inspection console near the security inspection area receives the geomagnetic trigger signal and sends it to a computing workstation in the security inspection console. Simultaneously, a license plate recognition camera installed above or on the side of the entrance to the security inspection area captures the license plate number of the new energy vehicle, and the computing workstation obtains the license plate number from the license plate recognition camera. Chassis infrared temperature measurement and scanning start-up step: after the computing workstation receives the geomagnetic trigger signal of the new energy vehicle entering, it synchronously starts all infrared card-type cameras in the chassis infrared scanning array embedded in the ground to start temperature measurement and recording; the chassis infrared scanning array includes a waterproof shell and a plurality of infrared card-type cameras arranged in the waterproof shell, each of the infrared card-type cameras is arranged in one or more rows along the vertical direction of the new energy vehicle's travel direction, and the waterproof shell is provided with an infrared penetration window on the side facing the ground; after starting, the infrared card-type camera performs non-contact infrared temperature measurement and recording on the chassis of the new energy vehicle through the infrared penetration window, generates a corresponding infrared image video stream and transmits it to the computing workstation; the computing workstation simultaneously receives the infrared image video stream output by all infrared card-type cameras; Vehicle exit sensing and scanning stop step: A geomagnetic sensor installed on the ground at the exit of the security inspection area senses that the new energy vehicle has exited the security inspection area, generating a corresponding geomagnetic trigger signal. The geomagnetic signal receiver sends the geomagnetic trigger signal to the computing workstation, which stops receiving the infrared image video stream output by all infrared card cameras and stops the temperature measurement and recording work of all infrared card cameras in the chassis infrared scanning array; Thermal distribution map reconstruction step: The computing workstation synchronously extracts single-frame images from multiple received infrared image video streams and then uses image stitching technology to synthesize the entire chassis infrared temperature image to reconstruct the thermal distribution map and display it on the screen of the security inspection console; Abnormal area identification and alarm triggering steps: The computing workstation uses infrared image recognition technology to automatically identify abnormal temperature gradient areas in the thermal distribution map, trigger an alarm when the local temperature exceeds the threshold, and generate identification data containing abnormal area information and alarm status; Data storage identification setting steps: The computing workstation uses the license plate number combined with the UTC timestamp as the unique identification for the chassis infrared temperature image and discrimination data storage.

8. The non-contact infrared temperature measurement and security inspection method for the chassis of a new energy vehicle according to claim 7 is characterized in that: In the chassis infrared temperature measurement and scanning start-up step, the imaging areas of two adjacent infrared card cameras in each row overlap to ensure complete coverage and continuous imaging of the new energy vehicle chassis.

9. The non-contact infrared temperature measurement safety inspection method for the chassis of a new energy vehicle according to claim 7 or 8, characterized in that: In the thermal distribution map reconstruction step, the computing workstation synchronously extracts single-frame images from multiple infrared image video streams, and then uses image stitching technology based on image distortion correction, image enhancement, image feature extraction, image feature tracking and image feature matching to stitch these single-frame images into a complete chassis infrared temperature image.

10. The non-contact infrared temperature measurement and safety inspection method for the chassis of a new energy vehicle according to claim 9 is characterized in that: In the abnormal area identification and alarm triggering step, the computing workstation adopts infrared image recognition technology based on deep learning, and automatically identifies abnormal temperature gradient areas in the thermal distribution map through a pre-trained convolutional neural network. When the local temperature exceeds the threshold determined according to the new energy vehicle industry standards and historical data statistical analysis, the alarm is triggered through sound and light alarms, and discrimination data containing abnormal area information and alarm status is generated; the computing workstation also performs historical trend analysis on the entire chassis infrared temperature image and the discrimination data to predict potential safety hazards.

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