CN117935551A - Vehicle axle identification and tire temperature detection method - Google Patents

Abstract

The invention provides a vehicle axle identification and tire temperature detection method. The method comprises the following steps: the method comprises the steps that a vehicle detection device is arranged on the road side of a highway, video images and tire temperature information of vehicles are obtained by the vehicle detection device, axle information and license plate information of the vehicles are obtained according to the video images, and the obtained axle information, license plate information and tire temperature information are fused to obtain fused vehicle information; and inputting the fused vehicle information into a tire temperature safety threshold value judging model, outputting the safety state of the tire temperature by the tire temperature safety threshold value judging model, and alarming if the safety state of the tire temperature is abnormal. The method can accurately identify the tire temperature of the vehicle, judge the tire temperature safety state by combining the information of the vehicle type, the weather and the like, timely check the abnormal tire temperature vehicle and early warn, effectively prevent traffic accidents caused by abnormal tire temperature and ensure the life and property safety of road users.

Description

A vehicle axle identification and tire temperature detection method

Technical Field

The present invention relates to the technical field of vehicle detection, and in particular to a vehicle axle identification and tire temperature detection method.

Background technique

Currently, most of the existing vehicle axle recognition technologies are based on light curtain devices, laser radars, and cameras. When light curtain devices are used for axle number recognition, their detection range is limited. They can only detect vehicles within the range of the equipment deployment, and the installation method and angle are fixed, so multi-angle detection is not possible. If the vehicle deviates during the detection process, it will affect the detection accuracy, and the ambient light will interfere with the light curtain sensor, resulting in poor detection results. Laser radar equipment is expensive, not easy to be widely used, and is also easily affected by light factors. In contrast, the use of cameras combined with corresponding recognition algorithms for axle number recognition is less affected by environmental factors, has a wide detection range, and is low in cost.

At present, the existing methods of identifying the number of axles using cameras mostly use highway roadside cameras to obtain vehicle images. Most of these cameras are installed on door frames or high poles, so the axle and wheel features in the obtained vehicle images are not obvious.

The existing vehicle tire temperature detection method mainly uses temperature sensing devices installed on tires and wheels to collect temperature and upload it to the vehicle terminal. Although this method is convenient for vehicle drivers to grasp tire temperature information in real time, the temperature measurement system is not widely used, and road management departments cannot obtain tire temperature information of vehicles equipped with the system, so it is not convenient for road management departments to predict risks and implement corresponding control measures.

Summary of the invention

The embodiment of the present invention provides a vehicle axle identification and tire temperature detection method to effectively perform axle identification and tire temperature detection on vehicles on a highway.

In order to achieve the above object, the present invention adopts the following technical scheme.

A vehicle axle identification and tire temperature detection method, comprising:

A vehicle detection device is installed on the side of the highway, and video images and tire temperature information of passing vehicles are obtained by using the vehicle detection device, and axle information and license plate information of the vehicle are obtained according to the video images, and the obtained axle information, license plate information and tire temperature information are integrated to obtain integrated vehicle information;

The fused vehicle information is input into a tire temperature safety threshold discrimination model, and the tire temperature safety threshold discrimination model outputs a safety state of the tire temperature. If the tire temperature safety state is abnormal, an alarm is issued.

Preferably, the vehicle detection device is installed on the side of the highway, including:

The vehicle detection device includes an axle recognition camera, a license plate recognition camera, an infrared thermal imager, a data processing module, a display, a loudspeaker, a fill light and an alarm. The vehicle detection device is a column-type facility installed on the side of the highway. The axle recognition camera, license plate recognition camera and infrared thermal imager in the vehicle detection device are arranged at the height of the vehicle tire position.

Preferably, the method of using a vehicle detection device to obtain video images and tire temperature information of vehicles passing by, obtaining axle information and license plate information of the vehicle according to the video images, and fusing the obtained axle information, license plate information and tire temperature information to obtain fused vehicle information includes:

When a vehicle traveling on the highway approaches the vehicle detection device, the license plate recognition camera obtains the vehicle front image data and transmits the vehicle front image data to the data processing module, and the data processing module recognizes the license plate information according to the vehicle front image data through the license plate recognition algorithm;

When the vehicle enters the detection range of the axle recognition camera, the axle recognition camera identifies and tracks the wheels and transmits the acquired vehicle wheelbase information to the data processing module;

When the vehicle enters the detection range of the infrared thermal imager, the infrared thermal imager identifies and selects the wheels, obtains tire temperature information based on the infrared spectrum, and transmits the tire temperature information to the data processing module;

The data processing module calculates the vehicle's axle information based on the axle and wheel identification information. The axle information includes the number of axles and wheelbase information. The acquired axle information and tire temperature information are integrated and matched with the license plate information to obtain the integrated vehicle information.

Preferably, when the vehicle enters the detection range of the axle recognition camera, the axle recognition camera identifies and tracks the wheels and transmits the acquired vehicle wheelbase information to the data processing module, including:

An overlapping area is set between the detection range of the license plate recognition camera and the detection range of the axle recognition camera. When the vehicle enters the detection range of the axle recognition camera, the axle recognition camera shoots the wheel image, and the wheel range is selected using the recognition algorithm based on the vehicle video image obtained by the axle recognition camera. The wheel center point is determined according to the selected wheel range, the distance between the center points of each wheel of the vehicle is measured, and the vehicle wheelbase information is obtained. The obtained vehicle wheelbase information is transmitted to the data processing module.

Preferably, when the vehicle enters the detection range of the infrared thermal imager, the infrared thermal imager identifies and selects the wheels, obtains tire temperature information according to the infrared spectrum, and transmits the tire temperature information to the data processing module, including:

An overlapping area is set between the detection range of the license plate recognition camera and the detection range of the infrared thermal imager. When a vehicle enters the detection range of the infrared thermal imager, the infrared thermal imager selects the wheel for identification. Based on the vehicle thermal imaging video image obtained by the infrared thermal imager, a wheel tracking frame is established using a tracking and recognition algorithm. The temperature of the tire part within the wheel tracking frame is detected, and the detected temperature is determined as the maximum tire temperature in the detection area. The average value of the maximum tire temperature within the entire detection time window is determined as the final tire temperature information, and the tire temperature information is transmitted to the data processing module.

Preferably, the fused vehicle information is input into a tire temperature safety threshold discrimination model, and the tire temperature safety threshold discrimination model outputs a safety state of the tire temperature. If the tire temperature safety state is abnormal, an alarm is issued, including:

Various vehicle types are preset in the tire temperature safety threshold discrimination model. Each vehicle type has a corresponding number of axles and wheelbase range. A fixed tire temperature threshold corresponding to each vehicle type is preset. There are two levels of fixed thresholds. The first level threshold is the upper limit of the temperature at which the tire can normally work under a standard working environment, and the second level threshold is the limit temperature that the tire can withstand under a standard working environment.

Determining the vehicle model category according to the vehicle axle number and wheelbase information in the fused vehicle information, and determining a fixed threshold value of the vehicle tire temperature;

The weather conditions, rainfall or snowfall, and surface temperature of the area during the detection period received by the data transmission module are input into the tire temperature safety threshold discrimination model. When the weather is rainy or snowy, if the rainfall or snowfall exceeds a certain value, the second level threshold is cancelled; according to the surface temperature, rainfall or snowfall of the area during the detection period, the floating values of the thresholds at all levels are determined;

Add the fixed threshold value to the floating value to obtain the threshold values of each level of the current tire temperature detection, import the input tire temperature information and the threshold values of each level of the current tire temperature detection into the comparison module, determine the threshold range of the tire temperature, and output the corresponding tire temperature safety state;

The output tire temperature safety status is divided into three types: normal, slightly abnormal and severely abnormal. When the tire temperature detection value is within the first threshold, the tire temperature safety status is output as safe; when it is between the first threshold and the second threshold, the tire temperature safety status is output as slightly abnormal; when it exceeds the second threshold, the tire temperature safety status is output as severely abnormal. If the tire temperature is abnormal, an early warning will be issued through the alarm system built into the device.

Preferably, the floating values of the thresholds at various levels are determined according to the surface temperature, rainfall or snowfall in the region during the detection period, including:

The reference value T ₀ of the influence of the ground surface temperature on the tire temperature threshold is preset, and the difference between the ground surface temperature T and T ₀ in the detection period is multiplied by the ground surface temperature influence coefficient Kt to obtain the ground surface temperature floating value of the tire temperature threshold. The specific formula is as follows:

TFT＝Kt(T ₀ -T)

If there is rainy weather, preset the reference value _Lr0 of the influence of rainfall on the tire temperature threshold. If the current rainfall _Lr exceeds _Lr0 , multiply the difference between the rainfall _Lr and _Lr0 in the detection period by the rainfall conversion coefficient Kr to obtain the rainfall floating value of the tire temperature threshold. If it does not exceed, no rainfall floating value is added. The specific formula is as follows:

T _Fr = K _r (L _r -L _r0 )

If there is snowfall, preset the reference value _Ls0 of the effect of snowfall on the tire temperature threshold. If the current snowfall _Ls exceeds _Ls0 , multiply the difference between the snowfall _Ls and _Ls0 in the detection period by the snowfall conversion coefficient _Ks to obtain the snowfall floating value of the tire temperature threshold. If it does not exceed, no snowfall floating value is added. The specific formula is as follows:

_TFs ＝ _Ks ( _Ls - _Ls0 )

Add the floating values obtained to get the final floating value.

It can be seen from the technical solutions provided by the above-mentioned embodiments of the present invention that the present invention can be implemented in key operating sections of expressways to accurately identify vehicle tire temperatures, and determine the safe status of tire temperature in combination with information such as vehicle model and weather, and promptly check for vehicles with abnormal tire temperatures and issue early warnings, thereby effectively preventing traffic accidents caused by abnormal tire temperatures and protecting the lives and property of road users.

Additional aspects and advantages of the present invention will be given in part in the following description, which will become obvious from the following description, or will be learned through practice of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

FIG1 is a schematic diagram of a method for identifying axles of vehicles on highways and detecting tire temperature according to an embodiment of the present invention;

FIG2 is a schematic diagram of the structure of a vehicle detection device provided by an embodiment of the present invention;

FIG3 is a schematic diagram of the working principle of a tire temperature safety threshold determination model provided by an embodiment of the present invention;

FIG4 is a schematic diagram of a front end of a toll island in which a vehicle detection device is installed at an entrance or exit of a highway toll station according to an embodiment of the present invention;

FIG5 is a schematic top view of a specific layout position of a vehicle detection device in a key operating section scenario provided by an embodiment of the present invention.

Detailed ways

The embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be interpreted as limiting the present invention.

It will be understood by those skilled in the art that, unless expressly stated, the singular forms "one", "said", and "the" used herein may also include plural forms. It should be further understood that the term "comprising" used in the specification of the present invention refers to the presence of the features, integers, steps, operations, elements and/or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof. It should be understood that when we refer to an element as being "connected" or "coupled" to another element, it may be directly connected or coupled to the other element, or there may be intermediate elements. In addition, the "connection" or "coupling" used herein may include wireless connection or coupling. The term "and/or" used herein includes any unit and all combinations of one or more associated listed items.

It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as those generally understood by those skilled in the art in the field to which the present invention belongs. It should also be understood that terms such as those defined in common dictionaries should be understood to have meanings consistent with the meanings in the context of the prior art, and will not be interpreted with idealized or overly formal meanings unless defined as herein.

To facilitate understanding of the embodiments of the present invention, several specific embodiments will be further explained below with reference to the accompanying drawings, and each embodiment does not constitute a limitation on the embodiments of the present invention.

The present invention proposes an integrated device and method for highway vehicle axle identification and tire temperature detection, which integrates functions such as vehicle axle number and wheelbase identification, vehicle tire temperature detection, and license plate recognition, and fuses the collected multi-source information, and uploads the fused information to relevant management departments to provide decision-making basis for daily operation management and emergency disposal of highways. In addition, the device is a column-type facility that can be installed at the entrance of the toll lane of a toll station, the central isolation belt of the highway, and the side of the long downhill and curved sections of mountain highways. Since the sensing equipment (such as cameras and infrared thermal imagers) are all set at the height of the vehicle tire position, it can capture the characteristic information of the vehicle tire and axle more comprehensively and clearly.

The present invention provides a processing flow of a method for highway vehicle axle identification and tire temperature detection as shown in FIG1 , which includes the following processing steps:

Step S10: A schematic diagram of the structure of a vehicle detection device provided by an embodiment of the present invention is shown in FIG2. The vehicle detection device comprises an axle recognition camera, a license plate recognition camera, an infrared thermal imager, a data processing module, a display, a loudspeaker, a fill light and an alarm. The above vehicle detection device is installed on the side of a highway, and the vehicle detection device is used to obtain video images of passing vehicles and tire temperature information.

Step S20: When a vehicle traveling on the highway approaches the vehicle detection device, the license plate recognition camera obtains the vehicle front image data and transmits the vehicle front image data to the data processing module, and the data processing module recognizes the license plate information based on the license plate recognition algorithm.

The axle recognition camera and infrared thermal imager also recognize and track the wheels, and transmit the axle and wheel recognition information to the data processing module, which calculates the vehicle's axle information and tire temperature information based on the axle and wheel recognition information. The axle information includes the number of axles and wheelbase information. The acquired axle information and tire temperature information are fused and matched with the license plate information to obtain the fused vehicle information.

When the vehicle enters the detection range of the axle recognition camera, the axle recognition camera captures and marks the wheel image, selects the wheel range, counts the wheels and obtains the axle number information. The specific steps include:

There is an overlapping area between the detection range of the license plate recognition camera and the detection range of the axle recognition camera, and the overlapping area is used to complete the vehicle ID matching;

Based on the vehicle video image obtained by the axle recognition camera, the recognition algorithm is used to select the wheel range, extract the wheel features, and complete the wheel counting.

Determine the wheel center points based on the wheel range selected by the box, and measure the distance between each center point to obtain the vehicle wheelbase information. The specific steps include:

The geometric center point of the wheel identification frame is used as the wheel center point;

Measure the distance between the center points of each wheel of the vehicle to obtain the vehicle wheelbase information.

When a vehicle enters the detection range of the infrared thermal imager, the infrared thermal imager identifies and selects the wheels and obtains tire temperature information based on the infrared spectrum. The specific steps include:

There is an overlapping area between the detection range of the license plate recognition camera and the detection range of the infrared thermal imager, and the overlapping area is used to complete the vehicle ID matching;

Based on the vehicle thermal imaging video image obtained by the infrared thermal imager, a wheel tracking frame is established using the tracking and recognition algorithm, and the temperature of the tire part within the tracking frame is detected;

The temperature detected should be the temperature at the highest point in the detection area, and the final tire temperature should be the average of the highest tire temperatures in the entire detection time window;

Perform temperature detection on all wheels of the vehicle within the detection range, and mark the detection results according to the wheel position for storage and upload.

Step S30: A schematic diagram of the working principle of a tire temperature safety threshold judgment model provided by an embodiment of the present invention is shown in FIG3 . The data processing module inputs the fused vehicle information into the tire temperature safety threshold judgment model. The tire temperature safety threshold judgment model outputs the safety status of the tire temperature. If the tire temperature safety status is abnormal, an alarm will be sounded through the alarm light, display, and loudspeaker.

The fused vehicle information is used as input data of the tire temperature safety threshold discrimination model. The tire temperature safety threshold discrimination model determines the vehicle model information according to the vehicle axle number and wheelbase information, and comprehensively determines the tire temperature threshold level in combination with the air temperature, surface temperature, rainfall or snowfall conditions during the detection period uploaded by the data transmission module, and compares the tire temperature information in the fused vehicle information with the thresholds at each level, thereby outputting the tire temperature safety status judgment result. The specific steps include:

The fused vehicle information is used as input data of a tire temperature safety threshold discrimination model, where the input data includes vehicle axle number and wheelbase information and tire temperature information;

The model is preset with different vehicle types, each of which has a corresponding number of axles and wheelbase range, which is used to classify vehicles;

Each vehicle type has a preset corresponding tire temperature fixed threshold. There are two levels of fixed thresholds. The first level is the upper limit of the temperature at which the tire can work normally under a standard working environment. The second level is the limit temperature that the tire can withstand under a standard working environment. The fixed threshold is determined based on the inherent characteristics of different vehicle types (load capacity, requirements for safe driving, etc.).

Determine the vehicle model category according to the input vehicle axle number and wheelbase information, and determine the vehicle tire temperature fixed threshold;

The weather conditions, rainfall or snowfall, and surface temperature of the area during the detection period received by the data transmission module are input into the model. When the weather is rainy or snowy, if the rainfall or snowfall exceeds a certain value, considering that the tire temperature will not be too high in this case, the second level threshold is cancelled;

Determine the floating values of the thresholds at each level according to the surface temperature, rainfall or snowfall in the area during the detection period;

Add the fixed threshold value to the floating value to obtain the threshold values of each level for the current tire temperature detection, import the input tire temperature information and the threshold values of each level into the comparison module, determine the threshold range of the tire temperature, and output the corresponding tire temperature safety status;

The output tire temperature safety status is divided into three types: normal, slightly abnormal, and severely abnormal. When the tire temperature detection value is within the first threshold, the tire temperature safety status is output as safe; when it is between the first threshold and the second threshold, the tire temperature safety status is output as slightly abnormal; when it exceeds the second threshold, the tire temperature safety status is output as severely abnormal.

If the tire temperature is abnormal, an early warning is issued through the alarm system of the device. The specific steps include:

The tire temperature safety status is slightly abnormal, which affects safe driving, but is not serious enough to stop the vehicle for repair immediately. The vehicle information is marked to remind the management department to pay attention to the driving behavior of the vehicle and send reminders to the driver via mobile phone text messages;

The tire temperature safety status is severely abnormal, posing a great threat to safe driving and a great risk of tire blowout. The device issues early warning information through its own alarm lights and loudspeakers, and uploads the vehicle information to the management department for emergency disposal.

The tire temperature threshold specifically includes:

It is a warning value. Since there is a certain response time from discovering abnormal vehicle tire temperature to reporting it to the management department for disposal, an early warning is required. At the same time, environmental factors such as temperature and rainfall will affect the rate of change of tire temperature. Therefore, a floating value is set accordingly to flexibly change the warning value.

Preferably, the floating values of the thresholds at various levels are determined according to the surface temperature, rainfall or snowfall in the region during the detection period, and the specific steps include:

The model presets a reference value T ₀ of the influence of the ground surface temperature on the tire temperature threshold, and multiplies the difference between the ground surface temperature T and T ₀ during the detection period by the ground surface temperature influence coefficient KT to obtain the ground surface temperature floating value of the tire temperature threshold. The specific formula is as follows:

T _FT =K _t (T ₀ -T)

If there is rainfall, the model presets the reference value _Lr0 of the effect of rainfall on the tire temperature threshold. If the current rainfall _Lr exceeds _Lr0 , the difference between the rainfall _Lr and _Lr0 in the detection period is multiplied by the rainfall conversion coefficient Kr to obtain the rainfall floating value of the tire temperature threshold. If it does not exceed, no rainfall floating value is added. The specific formula is as follows:

T _Fr = K _r (L _r -L _r0 )

If there is snowfall, the model presets the reference value L _s0 of the effect of snowfall on the tire temperature threshold. If the current snowfall L _s exceeds L _s0 , the difference between the snowfall L _s and L _s0 in the detection period is multiplied by the snowfall conversion coefficient K _s to obtain the snowfall floating value of the tire temperature threshold. If it does not exceed, the snowfall floating value is not added. The specific formula is as follows:

_TFs ＝ _Ks ( _Ls - _Ls0 )

Add the floating values obtained to get the final floating value.

Step 4: The data processing module uploads the integrated vehicle axle number and wheelbase information, license plate information, and tire temperature information to the management department. If the tire temperature safety status is abnormal, the management department is prompted to check the vehicle.

The vehicle detection device of the present invention can be installed at the entrance and exit of the toll lane of a toll station and at the central isolation zone of a key operating section of an expressway. Embodiments are introduced around these two scenarios.

In each embodiment, the algorithms used to identify various types of targets in the processes of axle recognition, license plate recognition, etc. include but are not limited to YOLO series algorithms, etc.

Embodiment 1:

In this embodiment, the vehicle detection device is arranged at the front end of the toll island at the entrance and exit of the highway toll station. The top view schematic diagram of the specific layout position is shown in FIG4 .

In this embodiment, the vehicle speed is slow in this scenario, and each toll lane is equipped with this device, which can detect the axle information of the passing vehicle in detail.

In this embodiment, when the vehicle is driving towards the toll station, the license plate recognition camera starts to capture the front image of the vehicle and recognizes the license plate information through the license plate recognition algorithm.

When a vehicle enters the detection range of the axle recognition camera and the infrared thermal imager, the axle recognition camera identifies and tracks the tires of the vehicle to obtain the number of axles and wheelbase information of the vehicle. The infrared thermal imager detects the temperature information of the vehicle tires.

The system integrates the vehicle's axle number and wheelbase information, tire temperature information and previously recognized license plate information, and performs matching.

The fused vehicle information is input into the tire temperature safety threshold discrimination model. The model analyzes the tire temperature information to determine whether the tire is in a safe state. If the tire temperature is abnormal, the system triggers an alarm mechanism.

If the tire temperature safety status is abnormal, the system will sound an alarm through the warning light, display and loudspeaker to remind the driver to pay attention. At the same time, the integrated vehicle axle number and wheelbase information, license plate information, and tire temperature information are uploaded to the central server of the management department.

In this embodiment, the axle information uploaded to the highway toll audit system can be used for vehicle model audit, thereby improving the management basis for operational disposal at the toll station.

Embodiment 2:

Figure 5 is a top view schematic diagram of the specific layout position of a vehicle detection device in a key operating section scenario provided by an embodiment of the present invention. In this embodiment, the above-mentioned vehicle detection device is arranged on the roadside machine on the roadside and the central machine arranged on the central isolation belt. The roadside machine is a general model, and the central machine is larger than the roadside machine. It is equipped with two sets of license plate recognition cameras, axle recognition cameras and infrared thermal imagers, which are installed in symmetrical positions respectively, for detecting two-way vehicles. The data processing module of the central machine should have a more powerful computing power.

In this embodiment, in this scenario, when the vehicle speed is fast and the traffic volume is large, vehicles will inevitably be blocked, thereby reducing the detection efficiency and success rate. Therefore, the devices are arranged symmetrically on both sides of the road, and the two devices perform collaborative detection to reduce the missed detection rate.

In this embodiment, when a vehicle approaches the device, the license plate recognition camera starts to capture the front image of the vehicle and uses the license plate recognition algorithm to recognize the license plate information.

When a vehicle enters the detection range of the axle recognition camera and infrared thermal imager, the axle recognition camera and infrared thermal imager of the roadside machine and the central machine start to work. They identify, track and monitor the temperature of the vehicle's tires to obtain the vehicle's axle number, wheelbase information and tire temperature information.

The vehicle information collected by the roadside machine and the central machine, including axle number and wheelbase information, tire temperature information and license plate information, are integrated and matched.

The fused vehicle information is input into the tire temperature safety threshold discrimination model. The model analyzes the tire temperature information and evaluates whether the tire is in a safe state. In abnormal situations, the system triggers an alarm mechanism.

In this embodiment, through the coordinated detection of the roadside machine and the central machine, the system can cover vehicles traveling in both directions and reduce the missed detection rate.

After receiving the alarm and vehicle information, the management department takes corresponding measures. They may ask the driver to check the vehicle tires to ensure safety. They can also analyze the collected data for maintenance and improvement.

In summary, the embodiment of the present invention fuses the video image data for axle identification and the infrared temperature data for tire temperature detection, matches them with specific vehicles, transmits the fused information feedback to the management department for vehicle information audit, and checks vehicles with abnormal tire temperature information and issues warnings, providing information support for relevant management departments. This is not available in other similar invention patents.

The present invention can be implemented on key operating sections of expressways to accurately identify vehicle tire temperatures, and determine the safe status of tire temperature in combination with vehicle model, weather and other information, timely check for vehicles with abnormal tire temperatures and issue early warnings, effectively preventing traffic accidents caused by abnormal tire temperatures and protecting the lives and property of road users.

Those skilled in the art can understand that the accompanying drawings are only schematic diagrams of one embodiment, and the modules or processes in the accompanying drawings are not necessarily required to implement the present invention.

It can be known from the description of the above implementation mode that those skilled in the art can clearly understand that the present invention can be implemented by means of software plus a necessary general hardware platform. Based on such an understanding, the technical solution of the present invention can be essentially or partly contributed to the prior art in the form of a software product, which can be stored in a storage medium such as ROM/RAM, a magnetic disk, an optical disk, etc., and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in the various embodiments of the present invention or some parts of the embodiments.

Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can refer to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device or system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiment. The device and system embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without creative work.

The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims (7)

1. A vehicle axle identification and tire temperature detection method, comprising: A vehicle detection device is installed on the side of the highway, and video images and tire temperature information of passing vehicles are obtained by using the vehicle detection device, and axle information and license plate information of the vehicle are obtained according to the video images, and the obtained axle information, license plate information and tire temperature information are integrated to obtain integrated vehicle information; The fused vehicle information is input into a tire temperature safety threshold discrimination model, and the tire temperature safety threshold discrimination model outputs a safety state of the tire temperature. If the tire temperature safety state is abnormal, an alarm is issued. 2. The method according to claim 1, characterized in that the step of installing the vehicle detection device on the side of the highway comprises: The vehicle detection device includes an axle recognition camera, a license plate recognition camera, an infrared thermal imager, a data processing module, a display, a loudspeaker, a fill light and an alarm. The vehicle detection device is a column-type facility installed on the side of the highway. The axle recognition camera, license plate recognition camera and infrared thermal imager in the vehicle detection device are arranged at the height of the vehicle tire position. 3. The method according to claim 1 is characterized in that the method of using a vehicle detection device to obtain video images and tire temperature information of vehicles passing by, obtaining axle information and license plate information of the vehicle according to the video images, and fusing the obtained axle information, license plate information and tire temperature information to obtain the fused vehicle information comprises: When a vehicle traveling on the highway approaches the vehicle detection device, the license plate recognition camera obtains the vehicle front image data and transmits the vehicle front image data to the data processing module, and the data processing module recognizes the license plate information according to the vehicle front image data through the license plate recognition algorithm; When the vehicle enters the detection range of the axle recognition camera, the axle recognition camera identifies and tracks the wheels and transmits the acquired vehicle wheelbase information to the data processing module; When the vehicle enters the detection range of the infrared thermal imager, the infrared thermal imager identifies and selects the wheels, obtains tire temperature information based on the infrared spectrum, and transmits the tire temperature information to the data processing module; The data processing module calculates the vehicle's axle information based on the axle and wheel identification information. The axle information includes the number of axles and wheelbase information. The acquired axle information and tire temperature information are integrated and matched with the license plate information to obtain the integrated vehicle information. 4. The method according to claim 3 is characterized in that when the vehicle enters the detection range of the axle recognition camera, the axle recognition camera identifies and tracks the wheels and transmits the acquired vehicle wheelbase information to the data processing module, comprising: An overlapping area is set between the detection range of the license plate recognition camera and the detection range of the axle recognition camera. When the vehicle enters the detection range of the axle recognition camera, the axle recognition camera shoots the wheel image, and the wheel range is selected using the recognition algorithm based on the vehicle video image obtained by the axle recognition camera. The wheel center point is determined according to the selected wheel range, the distance between the center points of each wheel of the vehicle is measured, and the vehicle wheelbase information is obtained. The obtained vehicle wheelbase information is transmitted to the data processing module. 5. The method according to claim 4 is characterized in that when the vehicle enters the detection range of the infrared thermal imager, the infrared thermal imager identifies and selects the wheels, obtains tire temperature information according to the infrared spectrum, and transmits the tire temperature information to the data processing module, comprising: An overlapping area is set between the detection range of the license plate recognition camera and the detection range of the infrared thermal imager. When a vehicle enters the detection range of the infrared thermal imager, the infrared thermal imager selects the wheel for identification. Based on the vehicle thermal imaging video image obtained by the infrared thermal imager, a wheel tracking frame is established using a tracking and recognition algorithm. The temperature of the tire part within the wheel tracking frame is detected, and the detected temperature is determined as the maximum tire temperature in the detection area. The average value of the maximum tire temperature within the entire detection time window is determined as the final tire temperature information, and the tire temperature information is transmitted to the data processing module. 6. The method according to any one of claims 1 to 5, characterized in that the fused vehicle information is input into a tire temperature safety threshold discrimination model, the tire temperature safety threshold discrimination model outputs a safety state of the tire temperature, and if the tire temperature safety state is abnormal, an alarm is issued, comprising: Various vehicle types are preset in the tire temperature safety threshold discrimination model. Each vehicle type has a corresponding number of axles and wheelbase range. A fixed tire temperature threshold corresponding to each vehicle type is preset. There are two levels of fixed thresholds. The first level threshold is the upper limit of the temperature at which the tire can normally work under a standard working environment, and the second level threshold is the limit temperature that the tire can withstand under a standard working environment. Determining the vehicle model category according to the vehicle axle number and wheelbase information in the fused vehicle information, and determining a fixed threshold value of the vehicle tire temperature; The weather conditions, rainfall or snowfall, and surface temperature of the area during the detection period received by the data transmission module are input into the tire temperature safety threshold discrimination model. When the weather is rainy or snowy, if the rainfall or snowfall exceeds a certain value, the second level threshold is cancelled; according to the surface temperature, rainfall or snowfall of the area during the detection period, the floating values of the thresholds at all levels are determined; Add the fixed threshold value to the floating value to obtain the threshold values of each level of the current tire temperature detection, import the input tire temperature information and the threshold values of each level of the current tire temperature detection into the comparison module, determine the threshold range of the tire temperature, and output the corresponding tire temperature safety state; The output tire temperature safety status is divided into three types: normal, slightly abnormal and severely abnormal. When the tire temperature detection value is within the first threshold, the tire temperature safety status is output as safe; when it is between the first threshold and the second threshold, the tire temperature safety status is output as slightly abnormal; when it exceeds the second threshold, the tire temperature safety status is output as severely abnormal. If the tire temperature is abnormal, an early warning will be issued through the alarm system built into the device. 7. The method according to claim 6 is characterized in that the floating values of the thresholds at various levels are determined according to the surface temperature, rainfall or snowfall in the region during the detection period, including: The reference value T ₀ of the influence of the ground surface temperature on the tire temperature threshold is preset, and the difference between the ground surface temperature T and T ₀ in the detection period is multiplied by the ground surface temperature influence coefficient K _t to obtain the ground surface temperature floating value of the tire temperature threshold. The specific formula is as follows: T _FT =K _t (T ₀ -T) If there is rainfall, preset the reference value L _r0 of the effect of rainfall on the tire temperature threshold. If the current rainfall L _r exceeds L _r0 , multiply the difference between the rainfall L _r and L _r0 in the detection period by the rainfall conversion coefficient K _r to obtain the rainfall floating value of the tire temperature threshold. If it does not exceed, no rainfall floating value is added. The specific formula is as follows: T _Fr = K _r (L _r -L _r0 ) If there is snowfall, preset the reference value _Ls0 of the effect of snowfall on the tire temperature threshold. If the current snowfall _Ls exceeds _Ls0 , multiply the difference between the snowfall _Ls and _Ls0 in the detection period by the snowfall conversion coefficient _Ks to obtain the snowfall floating value of the tire temperature threshold. If it does not exceed, no snowfall floating value is added. The specific formula is as follows: _TFs ＝ _Ks ( _Ls - _Ls0 ) Add the floating values obtained to get the final floating value.