Freight vehicle detection method, system, intelligent terminal and storage medium

Abstract

The application is suitable for the technical field of vehicle detection, and provides a freight vehicle detection method, system, intelligent terminal and storage medium. The method comprises the following steps: when a freight vehicle enters a specified area, a thermal imaging image is acquired, the thermal imaging image is generated by infrared thermal imaging of a freight box area of the freight vehicle by an infrared thermal imaging device; according to the thermal imaging image, temperature information of each temperature measuring point in the freight box area is acquired; and based on the temperature information of each temperature measuring point in the freight box area, cold-chain cargo transportation detection is performed on the freight vehicle. The application can effectively improve the efficiency and accuracy of illegal cold-chain cargo transportation detection of the freight vehicle and save labor cost.

Description

Technical Field

[0001] This application relates to the field of vehicle inspection technology, and in particular to a method, system, smart terminal and storage medium for inspecting freight vehicles. Background Technology

[0002] With the improvement of infrastructure such as highways and railways in my country and the rapid development of the economy, the road freight industry has also experienced rapid growth. As the most widely distributed and inexpensive mode of transportation, road freight has always held a place in the freight industry.

[0003] However, in pursuit of profit, freight vehicles may engage in illegal transportation through modifications such as altering non-refrigerated trucks or using ordinary trucks to illegally transport refrigerated goods. To avoid the safety hazards caused by freight vehicles illegally transporting refrigerated goods, reduce economic losses in the freight industry, and improve the management level of the freight industry, it is necessary to conduct inspections and checks on freight vehicles.

[0004] Current methods for inspecting freight vehicles rely on individual inspections by specialized technicians, resulting in low efficiency. Improving the efficiency of detecting freight vehicles illegally transporting cold chain goods is a pressing issue that needs to be addressed. Summary of the Invention

[0005] This application provides a method, system, smart terminal, and storage medium for detecting freight vehicles, which can effectively improve the efficiency and accuracy of detecting freight vehicles illegally transporting cold chain goods and save labor costs.

[0006] In a first aspect, embodiments of this application provide a method for detecting freight vehicles, including:

[0007] When a freight vehicle enters a designated area, a thermal imaging image is acquired. The thermal imaging image is generated by an infrared thermal imaging device performing infrared thermal imaging on the cargo box area of ​​the freight vehicle.

[0008] Based on the thermal imaging image, obtain the temperature information of each temperature measuring point in the cargo box area;

[0009] Based on the temperature information from various temperature measurement points in the cargo box area, the freight vehicle is inspected for cold chain cargo transportation.

[0010] In one possible implementation of the first aspect, the step of conducting cold chain cargo transportation inspection on the freight vehicle based on temperature information from various temperature measuring points in the cargo box area includes:

[0011] Based on the temperature information from each temperature measuring point in the cargo box area, the minimum and average temperatures of the cargo box area are obtained.

[0012] Based on the minimum temperature and the average temperature, it is determined whether the freight vehicle is transporting cold chain goods.

[0013] In one possible implementation of the first aspect, detecting whether the freight vehicle is transporting cold chain goods based on the minimum temperature and the average temperature includes:

[0014] Get the current ambient temperature;

[0015] Determine the tolerance temperature based on the ambient temperature;

[0016] If the absolute value of the difference between the minimum temperature and the average temperature is greater than a specified multiple of the tolerance temperature, then the freight vehicle is determined to be a cold chain cargo transport vehicle.

[0017] In one possible implementation of the first aspect, the step of conducting cold chain cargo transportation inspection on the freight vehicle based on temperature information from various temperature measuring points in the cargo box area includes:

[0018] Based on the temperature information of each temperature measuring point in the cargo box area, the lowest temperature of the cargo box area is obtained;

[0019] If the minimum temperature is less than the preset detection temperature threshold, the freight vehicle is determined to be a cold chain cargo transport vehicle.

[0020] In one possible implementation of the first aspect, the step of conducting cold chain cargo transportation inspection on the freight vehicle based on temperature information from various temperature measuring points in the cargo box area includes:

[0021] The average temperature of the cargo box area is obtained based on the temperature information of each temperature measuring point in the cargo box area.

[0022] The number of target temperature measurement points is counted. The target temperature measurement point refers to the temperature measurement point that meets the preset temperature range. The preset temperature condition is related to the average temperature.

[0023] If the number of target temperature measurement points is less than the preset threshold, the freight vehicle is determined to be a cold chain cargo transport vehicle.

[0024] In one possible implementation of the first aspect, prior to acquiring the thermal imaging image, the following is included:

[0025] A preset recognition algorithm is used to identify whether the freight vehicle has entered the designated area;

[0026] The preset recognition algorithm includes any one or more of the following: buried coil detection, infrared detection, radar detection, and video detection.

[0027] In one possible implementation of the first aspect, after detecting the freight vehicle based on its temperature image, the process includes:

[0028] If the freight vehicle is determined to be a cold chain cargo transport vehicle, an alarm will be sent.

[0029] And / or,

[0030] If the freight vehicle is determined to be a cold chain cargo transport vehicle, then the license plate of the freight vehicle is identified to obtain the license plate information of the freight vehicle.

[0031] The inspection results of the cold chain cargo transportation of the freight vehicle and the license plate information are uploaded to the designated terminal.

[0032] Secondly, embodiments of this application provide a freight vehicle detection system, including:

[0033] The image acquisition unit is used to acquire a thermal imaging image when a freight vehicle enters a designated area. The thermal imaging image is generated by an infrared thermal imaging device performing infrared thermal imaging on the cargo box area of ​​the freight vehicle.

[0034] The temperature information acquisition unit is used to acquire temperature information of each temperature measuring point in the cargo box area based on the thermal imaging image.

[0035] The freight vehicle detection unit is used to detect cold chain cargo transportation of the freight vehicle based on the temperature information of each temperature measuring point in the cargo box area.

[0036] Thirdly, embodiments of this application provide a smart terminal, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the freight vehicle detection method as described in the first aspect above.

[0037] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the freight vehicle detection method as described in the first aspect above.

[0038] Fifthly, embodiments of this application provide a computer program product that, when run on a smart terminal, causes the smart terminal to execute the freight vehicle detection method described in the first aspect above.

[0039] In this embodiment, when a freight vehicle enters a designated area, a thermal imaging image is acquired. This thermal imaging image is generated by an infrared thermal imaging device capturing the cargo box area of ​​the freight vehicle. Then, based on the thermal imaging image, temperature information at various temperature measurement points in the cargo box area is obtained. Finally, based on this temperature information, the freight vehicle is inspected for cold chain cargo transportation. This solution effectively improves the efficiency and accuracy of detecting illegally transported cold chain goods by freight vehicles. The detection process is intelligent, significantly reducing labor costs. Simultaneously, it provides an important detection method for comprehensively tracking the flow and volume of cold chain goods. Attached Figure Description

[0040] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0041] Figure 1 This is a flowchart illustrating the implementation of the freight vehicle detection method provided in this application embodiment;

[0042] Figure 2 This is a flowchart illustrating a specific implementation of the freight vehicle inspection method provided in this application for inspecting the freight vehicle for cold chain cargo transportation.

[0043] Figure 3 This is a flowchart illustrating a specific implementation of step A2 in the freight vehicle inspection method provided in this application embodiment;

[0044] Figure 4 This is another specific implementation flowchart of the freight vehicle inspection method provided in this application for inspecting the freight vehicle for cold chain cargo transportation;

[0045] Figure 5 This is another specific implementation flowchart of the freight vehicle inspection method provided in this application for inspecting the freight vehicle for cold chain cargo transportation;

[0046] Figure 6 This is a flowchart illustrating a specific implementation of the reporting information in the freight vehicle detection method provided in this application embodiment when determining that the freight vehicle is a cold chain cargo transport vehicle;

[0047] Figure 7 This is a structural block diagram of the freight vehicle detection system provided in the embodiments of this application;

[0048] Figure 8 This is a schematic diagram of the smart terminal provided in the embodiments of this application. Detailed Implementation

[0049] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known apparatuses, systems, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0050] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0051] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0052] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."

[0053] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0054] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0055] In the existing technology, to determine whether a freight vehicle is illegally transporting cold chain goods, it is only possible to inspect vehicles with obvious cold chain markings, or to manually inspect all vehicles one by one. For non-cold chain modified vehicles, or ordinary trucks illegally transporting cold chain goods, it is impossible to accurately detect them.

[0056] To address the aforementioned issues, this application provides a method, system, smart terminal, and storage medium for detecting freight vehicles. It utilizes an infrared thermal imaging device to collect infrared thermal images of the cargo box area of ​​a freight vehicle. Then, based on the thermal imaging images, it obtains temperature information from various temperature measurement points within the cargo box area. Finally, based on this temperature information, it performs cold chain cargo transportation detection on the freight vehicle. The detection process is automated and intelligent, eliminating the need for manual inspection, thus saving labor costs and improving the efficiency and accuracy of detecting illegally transported cold chain goods by freight vehicles.

[0057] It should be understood that the various method embodiments of this application provide a freight vehicle detection method applicable to various types of smart terminals that need to perform cold chain freight transport vehicle detection, specifically servers or mobile devices that are communicatively connected to infrared thermal imaging equipment. This application does not limit the type or model of the infrared thermal imaging equipment.

[0058] Figure 1 The implementation flow of the freight vehicle detection method provided in this application embodiment is illustrated. The method flow includes steps S101 to S103. The specific implementation principle of each step is as follows:

[0059] S101: When a freight vehicle enters a designated area, a thermal imaging image is acquired. The thermal imaging image is generated by an infrared thermal imaging device performing infrared thermal imaging on the cargo box area of ​​the freight vehicle.

[0060] In this embodiment of the application, the smart terminal is communicatively connected to the infrared thermal imaging device, which performs infrared detection on the cargo box area of ​​the freight vehicle entering the designated area and generates a thermal imaging image.

[0061] The designated area mentioned above refers to the area within the infrared field of view of the infrared thermal imaging device. The infrared thermal imaging device has a horizontal and a vertical field of view, which covers a certain range of areas. When a freight vehicle enters the area within the infrared field of view, the infrared thermal imaging device performs infrared detection on the freight vehicle and generates a thermal image.

[0062] As one possible implementation of this application, the embodiments of this application utilize a preset identification algorithm to identify whether the freight vehicle has entered the designated area. The preset identification algorithm includes any one or more of buried coil detection, infrared detection, radar detection, and video detection.

[0063] In this embodiment of the application, one or more of the following are installed at the freight vehicle inspection site: buried coil detector, infrared detector, radar, and camera. The freight vehicle is identified as having entered the designated area by any one or more of the following: buried coil detection, infrared detection, radar detection, and video detection.

[0064] Buried induction coil detection uses a buried induction coil detector to identify whether a freight vehicle has entered a designated area. The buried induction coil detector consists of an induction coil and a detector. The coil is used for data acquisition, and the detector is used to perform data analysis and output corresponding logic signals. The detector typically consists of a frame, a central processing unit, a detection card, and wiring terminals. When a freight vehicle passes through or remains stationary within the detection area of ​​the induction coil, the inductance of the coil decreases. The function of the detection card is to detect this change and accurately output the corresponding voltage level, thereby identifying and confirming that the freight vehicle has entered the designated area.

[0065] Infrared detectors use infrared-emitting emitters to detect and identify whether freight vehicles have entered a designated area. The infrared light emitted by the emitter shines directly onto the receiver, forming a light curtain system. Target objects placed between the emitter and receiver will block part of the light, preventing it from reaching the corresponding receiver device. The HLR series detection light curtain uses synchronous scanning to identify blocked channels. First, one emitter channel emits a light pulse, and the corresponding receiver simultaneously searches for the pulse. Once found, the scan of one channel is complete, and the process moves to the next channel until all scans are completed. After one scan cycle is completed, the system records which channels are lit and which are blocked, and outputs a signal according to the system definition. This signal can be an analog signal or a digital signal.

[0066] Radar is a device that identifies vehicles by emitting microwaves towards the road surface and receiving reflected waves. Operating based on the Doppler effect, a radar detector suspended at a certain distance above the lane emits microwave beams of known frequencies towards the lane below and receives reflected waves. The frequency difference between the emitted and reflected waves is used to identify whether a freight vehicle has entered a designated area.

[0067] For video detection, video images are captured in real time using visual cameras and combined with vehicle recognition algorithms to intelligently identify passing vehicles using AI, distinguishing between freight vehicles and passenger vehicles, and identifying whether freight vehicles have entered designated areas.

[0068] In this embodiment of the application, a preset recognition algorithm is used to identify whether a freight vehicle has entered a designated area. When the freight vehicle enters the designated area, the infrared thermal imaging device is triggered to start thermal imaging of the cargo box area of ​​the freight vehicle, which can save the wear and tear of the infrared thermal imaging device.

[0069] S102: Based on the thermal imaging image, obtain the temperature information of each temperature measuring point in the cargo box area.

[0070] Infrared thermal imaging equipment can specifically be called an infrared thermal imager. An infrared thermal imager uses an infrared detector and an optical imaging lens to receive the infrared radiation energy distribution pattern of the target object and reflects it onto the photosensitive element of the infrared detector, thereby obtaining a thermal image. This thermal image corresponds to the heat distribution field on the object's surface. In simpler terms, an infrared thermal imager converts the invisible infrared energy emitted by an object into a visible thermal image; different colors on the thermal image represent different temperatures of the object being measured.

[0071] In this embodiment of the application, an infrared thermal imager detects multiple temperature measurement points in the cargo box area to generate thermal imaging images. Based on these thermal imaging images, the temperature information of each temperature measurement point in the cargo box area can be obtained.

[0072] S103: Based on the temperature information of each temperature measuring point in the cargo box area, conduct cold chain cargo transportation inspection on the freight vehicle.

[0073] In this embodiment of the application, the temperature information of each temperature measuring point in the cargo box area is used to detect whether the freight vehicle is transporting cold chain goods.

[0074] As one possible implementation of this application Figure 2 This application illustrates a specific implementation process for detecting cold chain cargo transportation in a freight vehicle based on temperature information from various temperature measuring points in the cargo box area, as detailed below:

[0075] A1: Based on the temperature information of each temperature measuring point in the cargo box area, obtain the minimum temperature and average temperature of the cargo box area.

[0076] The aforementioned minimum temperature is the lowest temperature among the temperature information of each temperature measuring point in the cargo box area, and the aforementioned average temperature is the average value of the temperature information of each temperature measuring point in the cargo box area.

[0077] A2: Based on the minimum temperature and the average temperature, detect whether the freight vehicle is transporting cold chain goods.

[0078] In this embodiment, the determination of whether a freight vehicle is transporting cold chain goods is based on the minimum and average temperatures of the cargo box area. This eliminates the need for manual inspection, making the inspection automatic and intelligent, which can improve inspection efficiency and accuracy.

[0079] As one possible implementation of this application, such as Figure 3 As shown, the steps for detecting whether a freight vehicle is transporting cold chain goods based on the minimum temperature and the average temperature include:

[0080] A21: Obtain the current ambient temperature. The current ambient temperature refers to the ambient temperature of the area where the infrared thermal imaging equipment is located.

[0081] A22: Determine the tolerance temperature based on the ambient temperature. The tolerance temperature refers to the temperature value at which the deviation is allowed.

[0082] In this embodiment, a preset mapping table between ambient temperature and tolerance temperature is provided, which includes the mapping relationship between ambient temperature and tolerance temperature. For example, when the ambient temperature is 40°C, the tolerance temperature is 5°C; when the ambient temperature is 20°C, the tolerance temperature is 2°C. After obtaining the ambient temperature, the tolerance temperature can be determined according to the above mapping table.

[0083] A23: If the absolute value of the difference between the minimum temperature and the average temperature is greater than a specified multiple of the tolerance temperature, then the freight vehicle is determined to be a cold chain cargo transport vehicle.

[0084] In this embodiment, the specified multiple is 2. If the absolute value of the difference between the minimum temperature and the average temperature is greater than twice the tolerance temperature, the freight vehicle is determined to be a cold chain cargo transport vehicle. If the absolute value of the difference between the minimum temperature and the average temperature is less than or equal to twice the tolerance temperature, the freight vehicle is determined to be a non-cold chain cargo transport vehicle.

[0085] As one possible implementation of this application Figure 4 This application illustrates another specific implementation process for detecting cold chain cargo transportation in a freight vehicle based on temperature information from various temperature measuring points in the cargo box area, as detailed below:

[0086] B1: Obtain the lowest temperature of the cargo box area based on the temperature information of each temperature measuring point in the cargo box area.

[0087] B2: If the minimum temperature is less than the preset detection temperature threshold, the freight vehicle is determined to be a cold chain cargo transport vehicle.

[0088] In this embodiment, the preset detection temperature threshold is related to the current ambient temperature. Specifically, a lookup table between the preset detection temperature threshold and the ambient temperature is established in advance, and the corresponding preset detection temperature threshold is determined based on the ambient temperature and the lookup table. For example, when the ambient temperature is 40°C, the preset detection temperature threshold can be determined to be 30°C by looking up the lookup table; when the ambient temperature is 20°C, the preset detection temperature threshold can be determined to be 18°C ​​by looking up the lookup table.

[0089] In this embodiment of the application, if the minimum temperature is greater than or equal to a preset detection temperature threshold, the freight vehicle is determined to be a non-cold chain cargo transport vehicle.

[0090] In this embodiment, the lowest temperature in the cargo box area of ​​the freight vehicle is compared with a preset detection temperature threshold. Based on the comparison result, it is determined whether the freight vehicle is transporting cold chain goods. This eliminates the need for manual inspection and improves detection efficiency and accuracy.

[0091] As one possible implementation of this application Figure 5 This application illustrates another specific implementation process for detecting cold chain cargo transportation in a freight vehicle based on temperature information from various temperature measuring points in the cargo box area, as detailed below:

[0092] C1: Obtain the average temperature of the cargo box area based on the temperature information of each temperature measuring point in the cargo box area.

[0093] C2: Count the number of target temperature measurement points, where the target temperature measurement point refers to the temperature measurement point that meets the preset temperature range, and the preset temperature condition is related to the average temperature.

[0094] In one possible implementation, the preset temperature range is set based on the average temperature and the tolerance temperature, and the preset temperature range is specifically: [average temperature - tolerance temperature, average temperature + tolerance temperature].

[0095] C3: If the number of target temperature measurement points is less than the preset threshold, the freight vehicle is determined to be a cold chain cargo transport vehicle.

[0096] In this embodiment, the number of target temperature measurement points is used to determine whether the freight vehicle is transporting cold chain goods. If the number of temperature measurement points meeting the preset temperature conditions is less than a preset threshold, the freight vehicle is determined to be a cold chain goods transport vehicle. If the number of temperature measurement points meeting the preset temperature conditions is greater than or equal to the preset threshold, the freight vehicle is determined to be a non-cold chain goods transport vehicle.

[0097] In one possible implementation, the total number of pixels in the thermal imaging image is obtained, which can be determined by the infrared thermal imaging device. Then, the number of pixels in the thermal imaging image whose temperature falls within a preset temperature range is counted. If the ratio of the counted number of pixels to the total number of pixels is less than a preset threshold, the freight vehicle is determined to be a cold chain freight transport vehicle. If the ratio of the counted number of pixels to the total number of pixels is greater than or equal to the preset threshold, the freight vehicle is determined to be a non-cold chain freight transport vehicle.

[0098] For example, based on the temperature information of each temperature measuring point in the cargo box area, the average temperature T1 of the cargo box area is obtained, and the total number of pixels in the thermal imaging image of the cargo box area is N. The number of pixels N2 in the thermal imaging image whose temperature is within the temperature range of T1±δ is counted, where δ is the tolerance temperature. If N2 / N is less than 95%, it is determined that there are cold patch images in the thermal imaging image, and the freight vehicle is determined to be a cold chain cargo transport vehicle. If N2 / N is greater than or equal to 95%, it is determined that the temperature in the thermal imaging image is uniform and there are no abnormal cold patch images, and the freight vehicle is determined to be a non-cold chain cargo transport vehicle.

[0099] As one possible implementation of this application, if the freight vehicle is determined to be a cold chain cargo transport vehicle, an alarm is sent. The alarm alerts the relevant personnel. In another possible implementation, if the freight vehicle is determined to be a cold chain cargo transport vehicle, the cold patch image in the thermal imaging image corresponding to the cargo box area is enhanced and displayed, and a visual image of the freight vehicle is photographed and stored.

[0100] And / or,

[0101] As one possible implementation of this application, such as Figure 6 As shown, after step S103 above: conducting cold chain cargo transportation inspection on the freight vehicle based on the temperature information of each temperature measuring point in the cargo box area, the method further includes:

[0102] D1: If the freight vehicle is determined to be a cold chain cargo transport vehicle, then the license plate of the freight vehicle is identified to obtain the license plate information of the freight vehicle.

[0103] In this embodiment of the application, the algorithm used to identify the license plate of the freight vehicle can refer to the existing technology, and will not be described in detail here.

[0104] D2: Upload the cold chain cargo transportation inspection results and the license plate information of the freight vehicle to a designated terminal. The designated terminal can be a mobile terminal of a designated staff member or a designated cloud server.

[0105] In this embodiment of the application, when a freight vehicle is determined to be a cold chain cargo transport vehicle, the detection results and license plate information are bound and uploaded to a designated terminal, which is beneficial for tracing the freight vehicle.

[0106] As can be seen from the above, in this embodiment, when a freight vehicle enters a designated area, a thermal imaging image is acquired. This thermal imaging image is generated by an infrared thermal imaging device capturing the cargo box area of ​​the freight vehicle. Then, based on the thermal imaging image, temperature information at various temperature measurement points in the cargo box area is obtained. Finally, based on this temperature information, the freight vehicle is inspected for cold chain cargo transportation. This solution can effectively improve the efficiency and accuracy of detecting illegally transported cold chain goods by freight vehicles. The detection process is intelligent, significantly saving labor costs. Simultaneously, it provides an important detection method for comprehensively tracking the flow and volume of cold chain goods.

[0107] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0108] Corresponding to the freight vehicle inspection method described in the above embodiments, Figure 7 A structural block diagram of the freight vehicle detection system provided in the embodiments of this application is shown. For ease of explanation, only the parts related to the embodiments of this application are shown.

[0109] Reference Figure 7 The freight vehicle detection system includes: an image acquisition unit 71, a temperature information acquisition unit 72, and a freight vehicle detection unit 73, wherein:

[0110] The image acquisition unit 71 is used to acquire a thermal imaging image when a freight vehicle enters a designated area. The thermal imaging image is generated by an infrared thermal imaging device performing infrared thermal imaging on the cargo box area of ​​the freight vehicle.

[0111] Temperature information acquisition unit 72 is used to acquire temperature information of each temperature measuring point in the cargo box area based on the thermal imaging image;

[0112] The freight vehicle detection unit 73 is used to detect cold chain cargo transportation of the freight vehicle based on the temperature information of each temperature measuring point in the cargo box area.

[0113] As one possible implementation of this application, the freight vehicle detection unit 73 includes:

[0114] The first information acquisition module is used to acquire the minimum temperature and average temperature of the cargo box area based on the temperature information of each temperature measuring point in the cargo box area.

[0115] The first detection module is used to detect whether the freight vehicle is transporting cold chain goods based on the minimum temperature and the average temperature.

[0116] As one possible implementation of this application, the first detection module described above is specifically used for:

[0117] Get the current ambient temperature;

[0118] Determine the tolerance temperature based on the ambient temperature;

[0119] If the absolute value of the difference between the minimum temperature and the average temperature is greater than a specified multiple of the tolerance temperature, then the freight vehicle is determined to be a cold chain cargo transport vehicle.

[0120] As one possible implementation of this application, the freight vehicle detection unit 73 includes:

[0121] The second information acquisition module is used to acquire the lowest temperature of the cargo box area based on the temperature information of each temperature measuring point in the cargo box area.

[0122] The second detection module is used to determine that the freight vehicle is a cold chain cargo transport vehicle if the minimum temperature is less than a preset detection temperature threshold.

[0123] As one possible implementation of this application, the freight vehicle detection unit 73 includes:

[0124] The third information acquisition module is used to acquire the average temperature of the cargo box area based on the temperature information of each temperature measuring point in the cargo box area.

[0125] The statistics module is used to count the number of target temperature measurement points, where the target temperature measurement point refers to the temperature measurement point that meets the preset temperature range, and the preset temperature condition is related to the average temperature.

[0126] The third detection module determines that the freight vehicle is a cold chain cargo transport vehicle if the number of target temperature measurement points is less than a preset threshold.

[0127] As one possible implementation of this application, the freight vehicle detection system further includes:

[0128] The vehicle identification unit is used to identify whether the freight vehicle has entered the designated area using a preset identification algorithm; the preset identification algorithm includes any one or more of buried coil detection, infrared detection, radar detection, and video detection.

[0129] As one possible implementation of this application, the freight vehicle detection system further includes:

[0130] An alarm notification unit is used to send an alarm notification if the freight vehicle is determined to be a cold chain cargo transport vehicle;

[0131] And / or,

[0132] The license plate recognition unit is used to identify the license plate of the freight vehicle and obtain the license plate information of the freight vehicle if it is determined that the freight vehicle is a cold chain cargo transport vehicle.

[0133] The information uploading unit is used to upload the cold chain cargo transportation inspection results and the license plate information of the freight vehicle to a designated terminal.

[0134] As can be seen from the above, in this embodiment of the application, when a freight vehicle enters a designated area, a thermal imaging image is acquired. This thermal imaging image is generated by an infrared thermal imaging device capturing the cargo box area of ​​the freight vehicle. Then, based on the thermal imaging image, temperature information at various temperature measurement points in the cargo box area is obtained. Finally, based on this temperature information, the freight vehicle is inspected for cold chain cargo transportation. This solution can effectively improve the efficiency and accuracy of detecting illegally transported cold chain goods by freight vehicles. The detection process is intelligent, significantly saving labor costs. Simultaneously, it provides an important detection method for comprehensively tracking the flow and volume of cold chain goods.

[0135] It should be noted that the information interaction and execution process between the above systems / units are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, and they will not be repeated here.

[0136] This application embodiment also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements... Figures 1 to 6 The steps of any freight vehicle inspection method are represented.

[0137] This application embodiment also provides a smart terminal, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the following: Figures 1 to 6 The steps of any freight vehicle inspection method are represented.

[0138] This application also provides a computer program product that, when run on a smart terminal, causes the smart terminal to execute and implement the following: Figures 1 to 6 The steps of any freight vehicle inspection method are represented.

[0139] Figure 8 This is a schematic diagram of a smart terminal provided in an embodiment of this application. For example... Figure 8As shown, the smart terminal 8 in this embodiment includes: a processor 80, a memory 81, and a computer program 82 stored in the memory 81 and executable on the processor 80. When the processor 80 executes the computer program 82, it implements the steps in the various freight vehicle detection method embodiments described above, for example... Figure 1 The steps S101 to S103 are shown. Alternatively, when the processor 80 executes the computer program 82, it implements the functions of each module / unit in the above system embodiments, for example... Figure 7 The functions of units 71 to 73 shown.

[0140] For example, the computer program 82 may be divided into one or more modules / units, which are stored in the memory 81 and executed by the processor 80 to complete this application. The one or more modules / units may be a series of computer-readable instruction segments capable of performing a specific function, which describe the execution process of the computer program 82 in the smart terminal 8.

[0141] The smart terminal 8 may include, but is not limited to, a processor 80 and a memory 81. Those skilled in the art will understand that... Figure 8 This is merely an example of the smart terminal 8 and does not constitute a limitation on the smart terminal 8. It may include more or fewer components than shown, or combine certain components, or different components. For example, the smart terminal 8 may also include input / output devices, network access devices, buses, etc.

[0142] The processor 80 can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0143] The memory 81 can be an internal storage unit of the smart terminal 8, such as a hard drive or memory of the smart terminal 8. The memory 81 can also be an external storage device of the smart terminal 8, such as a plug-in hard drive, smart media card (SMC), secure digital card (SD), flash card, etc., equipped on the smart terminal 8. Furthermore, the memory 81 can include both internal storage units and external storage devices of the smart terminal 8. The memory 81 is used to store the computer program and other programs and data required by the smart terminal. The memory 81 can also be used to temporarily store data that has been output or will be output.

[0144] It should be noted that the information interaction and execution process between the above systems / units are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, and they will not be repeated here.

[0145] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0146] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of this application can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include at least: any entity or system capable of carrying computer program code to a system / terminal device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium. Examples include USB flash drives, portable hard drives, magnetic disks, or optical disks. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electrical carrier signals or telecommunication signals.

[0147] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0148] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for inspecting freight vehicles, characterized in that, include: Using a preset recognition algorithm, the system identifies whether the freight vehicle has entered the designated area. The preset recognition algorithm includes any one or more of buried coil detection, infrared detection, radar detection, and video detection; the video detection uses a visual camera to capture video images in real time, and combines them with a vehicle recognition algorithm to perform intelligent AI recognition of passing vehicles, distinguish between freight vehicles and passenger vehicles, and identify whether freight vehicles have entered the designated area. When a freight vehicle enters a designated area, the infrared thermal imaging device is activated to acquire a thermal imaging image. The thermal imaging image is generated by the infrared thermal imaging device through infrared detection of multiple temperature measurement points in the cargo box area of ​​the freight vehicle. Based on the thermal imaging image, obtain the temperature information of each temperature measuring point in the cargo box area; Based on the temperature information of each temperature measuring point in the cargo box area, the freight vehicle is inspected for cold chain cargo transportation, including: obtaining the lowest temperature of the cargo box area based on the temperature information of each temperature measuring point in the cargo box area; obtaining the current ambient temperature; determining the tolerance temperature based on the ambient temperature; if the absolute value of the difference between the lowest temperature and the average temperature is greater than the tolerance temperature by a specified multiple, then the freight vehicle is determined to be a cold chain cargo transportation vehicle. If the freight vehicle is determined to be a cold chain cargo transport vehicle, an alarm is sent; the cold patch image in the thermal imaging image corresponding to the cargo box area is enhanced and displayed, and the visible image of the freight vehicle is photographed and stored; and / or, if the freight vehicle is determined to be a cold chain cargo transport vehicle, the license plate of the freight vehicle is identified to obtain the license plate information of the freight vehicle; the cold chain cargo transport detection results of the freight vehicle and the license plate information are uploaded to a designated terminal for traceability processing of the freight vehicle.

2. A freight vehicle detection system, characterized in that, include: The vehicle identification unit is used to identify whether the freight vehicle has entered the designated area using a preset identification algorithm; The preset recognition algorithm includes any one or more of buried coil detection, infrared detection, radar detection, and video detection; the video detection uses a visual camera to capture video images in real time, and combines them with a vehicle recognition algorithm to perform intelligent AI recognition of passing vehicles, distinguish between freight vehicles and passenger vehicles, and identify whether freight vehicles have entered the designated area. The image acquisition unit is used to trigger the infrared thermal imaging device to start when the freight vehicle enters the designated area and acquire a thermal imaging image. The thermal imaging image is generated by the infrared thermal imaging device through infrared detection of the cargo box area of ​​the freight vehicle. The temperature information acquisition unit is used to acquire temperature information of each temperature measuring point in the cargo box area based on the thermal imaging image. The freight vehicle detection unit is used to perform cold chain cargo transportation detection on the freight vehicle based on the temperature information of each temperature measuring point in the cargo box area, including: obtaining the lowest temperature of the cargo box area based on the temperature information of each temperature measuring point in the cargo box area; obtaining the current ambient temperature; determining the tolerance temperature based on the ambient temperature; if the absolute value of the difference between the lowest temperature and the average temperature is greater than the tolerance temperature by a specified multiple, then the freight vehicle is determined to be a cold chain cargo transportation vehicle. An alarm notification unit is configured to send an alarm notification if the freight vehicle is determined to be a cold chain cargo transport vehicle; enhance the display of cold patch images in the thermal imaging image corresponding to the cargo box area; and take and store a visual image of the freight vehicle; and / or, The license plate recognition unit is used to identify the license plate of the freight vehicle and obtain the license plate information of the freight vehicle if it is determined that the freight vehicle is a cold chain cargo transport vehicle. The information uploading unit is used to upload the cold chain cargo transportation inspection results and the license plate information of the freight vehicle to a designated terminal for traceability processing of the freight vehicle.

3. A smart terminal, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the freight vehicle detection method as described in claim 1.

4. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the freight vehicle detection method as described in claim 1.

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