Ray safety detection method, detection system, storage medium and program product

Abstract

The invention relates to the field of safety detection, in particular to a ray safety detection method and system, a storage medium and a program product, and the method comprises the steps: obtaining a to-be-detected image of a to-be-detected transport carrier, the to-be-detected transport carrier being a transport carrier carrying goods; identifying carrier material information, carrier edge feature information and a to-be-detected posture of the to-be-detected transport carrier from the to-be-detected image; determining safety detection instruction information corresponding to the to-be-detected transport carrier based on the carrier material information, the carrier edge feature information and the to-be-detected attitude; and carrying out safety detection on the to-be-detected transport carrier based on the safety detection instruction information to obtain a corresponding scanning image, carrying out feature recognition on the scanning image, and when the scanning image contains a preset abnormal feature, generating an early warning signal based on the preset abnormal feature and the scanning image. According to the invention, the accuracy of determining the security detection result is improved.

Description

Technical Field

[0001] The present application relates to the field of safety detection, and in particular to a radiation safety detection method, a detection system, a storage medium and a program product. Background Art

[0002] Containers or suitcases are important carriers for the transportation and storage of goods. By conducting safety inspections on transport carriers such as containers or suitcases, it is easy to promptly discover potential damage or malfunctions in the transported goods, thereby reducing the probability of damage or loss of goods during transportation. In addition, safety inspections can also be used to check and collect items that are sent in violation of relevant transportation regulations, thereby improving the standardization of the transportation process.

[0003] In the related art, X-ray safety inspections are generally performed on transport carriers loaded with goods through fixed X-ray detection equipment. However, due to the different density, thickness, material and other factors corresponding to different goods and transport carriers, the clarity of the scanned image may be inconsistent when performing X-ray safety inspections on transport carriers carrying goods, which may reduce the accuracy of the safety inspection results. Summary of the invention

[0004] In order to improve the accuracy of determining safety detection results and thereby detect abnormal situations in a timely manner, the present application provides a radiation safety detection method, a detection system, a storage medium, and a program product.

[0005] In a first aspect, the present application provides a radiation safety detection method, which adopts the following technical solution: A radiation safety detection method, comprising: Acquire an image of a transport carrier to be detected, where the transport carrier to be detected is a transport carrier carrying goods; Identify the carrier material information, carrier edge feature information and the posture to be detected of the transport carrier to be detected from the image to be detected, wherein the posture to be detected is the posture of the transport carrier to be detected at a preset detection and transportation equipment, and the preset detection and transportation equipment is used to transport the transport carrier to be detected during the radiation safety detection of the transport carrier to be detected; Determine the safety detection instruction information corresponding to the transport carrier to be detected based on the carrier material information, carrier edge feature information and the posture to be detected, wherein the safety detection instruction information includes radiation control instruction information and transport control instruction information, wherein the radiation control instruction information is used to control the preset radiation equipment, and the transport control instruction information is used to control the preset detection transport equipment; Based on the safety inspection instruction information, a safety inspection is performed on the transport carrier to be inspected to obtain a corresponding scan image, and feature recognition is performed on the scan image. When the scan image contains preset abnormal features, a warning signal is generated based on the preset abnormal features and the scan image.

[0006] By adopting the above-mentioned technical scheme, the corresponding safety inspection instruction information is determined after analyzing the carrier material, carrier edge and posture to be inspected of the transport carrier to be inspected, so as to facilitate improving the adaptability between the safety inspection instruction information and the transport carrier to be inspected. Compared with the safety inspection of the transport carrier to be inspected by adopting a fixed inspection method, the personalized safety inspection instruction information is formulated for the transport carrier to be inspected, so as to facilitate displaying the actual loading situation of the transport carrier to be inspected through the scanned image, that is, it is convenient to improve the accuracy of the safety inspection results. In addition, by performing feature recognition on the scanned image and timely generating a warning signal when the scanned image contains preset abnormal features, it is convenient for relevant personnel to timely discover abnormal situations in safety inspections.

[0007] In a possible implementation, the determining of the safety detection instruction information corresponding to the transport carrier to be detected based on the carrier material information, the carrier edge feature information and the posture to be detected includes: Determine the radiation instruction information corresponding to the transport carrier to be detected based on the carrier material information and the carrier edge feature information, wherein the radiation instruction information includes radiation intensity and radiation angle; Determine the transport instruction information corresponding to the transport carrier to be detected based on the carrier edge feature information and the posture to be detected, wherein the transport instruction information includes a transport speed and a transport adjustment angle; The safety inspection instruction information corresponding to the transport carrier to be inspected is determined based on the radiation instruction information and the transport instruction information.

[0008] By adopting the above technical scheme, the material information of the carrier and the edge feature information of the carrier are analyzed to realize intelligent adjustment of the intensity of the radiation source; and it is convenient to ensure that the safety detection rays can accurately cover the entire area of ​​the transport carrier to be detected, thereby reducing the detection blind area caused by angle deviation. In addition, by analyzing the edge feature information of the carrier and the posture to be detected, the transportation speed or angle can be automatically adjusted to ensure that the transport carrier to be detected is in the best detection position when passing through the safety detection ray area, which is convenient to reduce the probability of detection errors caused by position deviation.

[0009] In one possible implementation, the method further includes: Performing resolution identification on the scanned image in real time, and when the scanned image contains a hidden danger area image, obtaining hidden danger edge information and hidden danger resolution corresponding to the hidden danger area image, wherein the hidden danger resolution corresponding to the hidden danger area image is lower than a preset standard resolution; Determine a hidden danger ratio value between the hidden danger area image and the scanned image based on the hidden danger edge information; When the hidden danger proportion value is lower than the preset proportion value, a resolution difference is determined based on the hidden danger resolution and the preset standard resolution, and a first target adjustment value corresponding to the resolution difference is determined based on a mapping relationship between the resolution difference and a first preset adjustment value, wherein the first preset adjustment value mapping relationship is a corresponding relationship between the resolution difference and the first target adjustment value, and the first target adjustment value includes a first target radiation intensity adjustment value and a first target transport rate adjustment value; The safety detection instruction information corresponding to the transport carrier to be detected is updated in real time based on the first target adjustment value.

[0010] By adopting the above technical solution, through real-time feature recognition of the scanned image, it is convenient to timely discover and locate the hidden danger area. In addition, by analyzing the hidden danger edge information and hidden danger resolution of the hidden danger area image, it is convenient to understand the severity of the hidden danger situation. When the hidden danger situation is more serious, the radiation intensity and transportation rate in the safety detection instruction information are flexibly updated according to the resolution difference, so as to timely eliminate the corresponding abnormal situation. Finally, based on the updated safety part detection instruction information, the transport carrier to be detected is safety inspected, so as to improve the accuracy of the safety detection results.

[0011] In a possible implementation, when the hidden danger proportion value is not lower than the preset proportion value, the method further includes: Based on the mapping relationship between the resolution difference and the second preset adjustment value, determining a second target adjustment value corresponding to the resolution difference, wherein the second preset adjustment value mapping relationship is a corresponding relationship between the resolution difference and the second target adjustment value, and the second target adjustment value includes a second target radiation intensity adjustment value and a second target transport rate adjustment value; Determine the three-dimensional point position of the hidden danger area in the transport carrier to be detected according to the image to be detected and the scanned image; Acquire the current position of the mobile detection device, and determine the mobile instruction information based on the current position and the three-dimensional point position, wherein the mobile instruction information includes a mobile route and a mobile detection route; Based on the second target adjustment value and the movement instruction information, the mobile detection device is controlled to perform safety detection on the hidden danger area to obtain a mobile scanning image; The hidden danger area image is updated based on the mobile scanning image to obtain an updated scanning image.

[0012] By adopting the above technical scheme, in addition to adjusting the safety detection instruction information according to the actual hidden danger situation when the hidden danger situation is serious, the mobile detection equipment is controlled according to the three-dimensional point position corresponding to the hidden danger area to perform safety detection in the corresponding area. In addition, by formulating corresponding mobile instruction information for the mobile detection equipment, it is convenient to accurately guide the safety detection work of the movement path of the mobile detection equipment, avoiding blind search or invalid movement in the mobile detection process, and finally, the scanned image is updated in time according to the mobile scanned image, so as to improve the effectiveness of the scanned image, thereby improving the accuracy of the safety detection results.

[0013] In one possible implementation, the method further includes: Determine the hidden danger area image whose hidden danger ratio is lower than the preset ratio as the hidden danger area image of concern, and count the abnormal prompt information corresponding to each hidden danger area image of concern in the scanned image and the generation time of each abnormal prompt information in real time, wherein the abnormal prompt information of the hidden danger area image includes the hidden danger resolution and the hidden danger ratio; Based on the generation time of each abnormal prompt information, all abnormal prompt information are sorted to generate real-time scrolling prompt information; When the number of abnormal prompt information is higher than a preset threshold, the hidden danger edge information of the hidden danger area corresponding to each abnormal prompt information is identified, and the associated abnormal prompt information is determined from all the abnormal prompt information according to each hidden danger edge information, and the hidden danger edge information corresponding to the associated abnormal prompt information has an overlapping area; Obtaining an associated scrolling position of each associated abnormal prompt information in the real-time scrolling prompt information, determining a target front-row scrolling position from all associated scrolling positions, and determining the associated abnormal prompt information corresponding to the target front-row scrolling position as the target associated abnormal prompt information; Based on the association quantity of all associated abnormal prompt information and the preset ranking mapping relationship, determining the adjustment ranking corresponding to the association quantity, and updating the target front row scrolling position of the target associated abnormal prompt information based on the adjustment ranking, wherein the preset ranking mapping relationship is the corresponding relationship between the association quantity and the adjustment ranking; The associated abnormal prompt information corresponding to other associated scrolling positions is cleared from the real-time scrolling prompt information, and the other associated scrolling positions are other scrolling positions except the target front row scrolling position.

[0014] By adopting the above technical solution, corresponding abnormal prompt information is generated from the image of the hidden danger area with more serious hidden dangers, and it is displayed in sequence based on the generation time of each abnormal prompt information, so that relevant staff can understand and analyze the abnormal situations in the safety detection process. When different abnormal prompt information are related, the abnormal prompt information is merged and the display order is updated. While reducing redundant abnormal prompt information, the attention of relevant staff to the abnormal prompt information with related relationships is improved, and it is also convenient for relevant staff to respond to and resolve abnormal situations in a timely manner.

[0015] In one possible implementation, the method further includes: Identify the carrier component feature information corresponding to the transport carrier to be detected from the image to be detected, and when the carrier component feature information contains a preset component feature, divide the transport carrier to be detected to obtain at least two images of the area to be detected, each of which contains the corresponding transport carrier in the area to be detected; Determine the regional safety detection instruction information corresponding to each transport carrier in the area to be detected based on each image of the area to be detected, and identify the regional features contained in each transport carrier in the area to be detected; Based on the regional characteristics and regional safety detection instruction information corresponding to each transport carrier in the area to be detected, the safety detection instruction information corresponding to the transport carrier to be detected is determined.

[0016] By adopting the above-mentioned technical scheme, since the safety inspection requirements corresponding to different carrier component characteristics may be different, by analyzing the carrier component characteristic information of the transport carrier to be inspected, it is convenient to formulate different regional safety inspection instruction information for transport carriers in different areas to be inspected, thereby improving the adaptability between the safety inspection method and the corresponding carrier component characteristics. In addition, it is also convenient to improve the rationality of the allocation of safety inspection resources, so as to avoid the waste of safety inspection resources.

[0017] In a second aspect, the present application provides a detection system, which adopts the following technical solution: A detection system, the detection system comprising: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the above-mentioned radiation safety detection method.

[0018] In a third aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium includes: a computer program that can be loaded by a processor and execute the above-mentioned radiation safety detection method.

[0019] In a fourth aspect, the present application provides a computer program product, which adopts the following technical solution: A computer program product comprises a computer program, wherein when the computer program is executed by a processor, the above-mentioned radiation safety detection method is implemented.

[0020] In summary, the present application includes at least one of the following beneficial technical effects: By analyzing the carrier material, carrier edge and posture of the transport carrier to be inspected, the corresponding safety inspection instruction information is determined, so as to improve the adaptability between the safety inspection instruction information and the transport carrier to be inspected. Compared with the safety inspection of the transport carrier to be inspected by using a fixed inspection method, the personalized safety inspection instruction information is formulated for the transport carrier to be inspected, so as to display the actual loading situation of the transport carrier to be inspected through the scanned image, that is, it is convenient to improve the accuracy of the safety inspection results. In addition, by performing feature recognition on the scanned image and timely generating a warning signal when the scanned image contains preset abnormal features, it is convenient for relevant personnel to discover abnormal situations in safety inspections in a timely manner.

[0021] By generating corresponding abnormal prompt information from images of hidden danger areas with more serious hidden dangers, and displaying them in sequence based on the generation time of each abnormal prompt information, it is convenient for relevant staff to understand and analyze abnormal situations in the safety detection process. When different abnormal prompt information are related, by merging the abnormal prompt information and updating the display order, it is convenient to reduce redundant abnormal prompt information while increasing the attention of relevant staff to the abnormal prompt information with related relationships, and also convenient for relevant staff to respond to and resolve abnormal situations in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a schematic diagram of a process of a radiation safety detection method in an embodiment of the present application; Figure 2 This is a schematic diagram of an abnormal prompt information display process in an embodiment of the present application; Figure 3 It is a structural schematic diagram of a detection system in an embodiment of the present application. DETAILED DESCRIPTION

[0023] The following is combined with Figures 1 to 3 This application is described in further detail.

[0024] After reading this specification, those skilled in the art may make non-creative modifications to this embodiment as needed, but such modifications are protected by patent law as long as they are within the scope of the claims of this application.

[0025] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0026] It should be noted that in the optional embodiments of the present application, the object information and other related data involved, when the embodiments in the present application are applied to specific products or technologies, need to obtain the permission or consent of the object, and the collection, use and processing of the relevant data need to comply with the relevant laws, regulations and standards of the relevant countries and regions. In other words, if the embodiments of the present application involve data related to the object, it needs to be obtained with the authorization and consent of the object, the authorization and consent of the relevant departments, and in compliance with the relevant laws, regulations and standards of the country and region. If personal information is involved in the embodiments, the acquisition of all personal information needs to obtain the consent of the individual. If sensitive information is involved, the separate consent of the information subject needs to be obtained. The embodiments also need to be implemented with the authorization and consent of the object.

[0027] Specifically, the embodiment of the present application provides a radiation safety detection method, which is executed by a detection system, and the detection system can be a server or a terminal device, wherein the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services. The terminal device can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, and the embodiment of the present application does not limit this.

[0028] refer to Figure 1 , Figure 1 : is a flow chart of a radiation safety detection method in an embodiment of the present application, the method comprises steps S110 to S140, wherein: Step S110: Acquire an image of a transport carrier to be detected, where the transport carrier to be detected is a transport carrier carrying goods.

[0029] Specifically, the transport carrier to be detected can be a container or a suitcase loaded with transported goods. The specific transport carrier to be detected is not specifically limited in the embodiments of the present application, as long as the transport carrier to be detected needs to be subjected to safety inspection. The image to be detected of the transport carrier to be detected can be collected by an image acquisition device set in the safety inspection area and uploaded to the electronic device. The image to be detected is an external image of the transport carrier to be detected, which includes the surrounding environment of the transport carrier to be detected in addition to the transport carrier to be detected. The safety inspection area includes a radiation source and a detector, wherein the radiation source is used to emit safety detection rays, and the safety detection rays can be X-rays, gamma rays, alpha rays, beta rays, etc. Since scattering, projection, absorption and other phenomena occur when X-rays interact with matter, these phenomena can be captured by the detector and converted into clearer scanned images, so the probability of using X-rays in the field of safety inspection is relatively high. The detector is used to receive the safety detection rays that pass through the transport carrier to be inspected, and is usually arranged opposite to or around the radiation source. The detector usually includes multiple detection units to capture safety rays from different directions and angles. The detector can be an array detector, a scintillation detector, a semiconductor detector, etc. The specific detector is not specifically limited in the embodiments of the present application. For example, when an array detector is used, the array detector can convert the received safety detection rays into electrical signals, and after transmitting the electrical signals to the detection system, the detection system generates a scanning image of the inside of the transport carrier to be inspected.

[0030] Step S120: Identify the carrier material information, carrier edge feature information and posture of the transport carrier to be inspected from the image to be inspected, where the posture to be inspected is the posture of the transport carrier to be inspected at a preset inspection and transportation equipment, and the preset inspection and transportation equipment is used to transport the transport carrier to be inspected during the radiation safety inspection of the transport carrier to be inspected.

[0031] Specifically, the carrier material information, carrier edge feature information, and the posture to be detected of the transport carrier to be detected can be identified from the image to be detected by a feature recognition algorithm. The specific feature recognition algorithm is not specifically limited in the embodiment of the present application. Among them, objects of different materials have different absorption and scattering capabilities for rays. For example, high-density materials such as metals have a strong absorption capacity for X-rays, while some lightweight materials with low density have a weak absorption capacity for X-rays. Therefore, when performing safety inspections on the transport carrier to be detected, it is necessary to consider and analyze the material information of the transport carrier to be detected. The carrier material information corresponding to the transport carrier to be detected can be determined by importing the image to be detected into a trained material recognition model, wherein the material recognition model can be obtained after training with a large number of sample data sets, and the sample data sets contain sample images of different light and different materials and the labeled material corresponding to the sample transport carrier in each sample image. The training process of the material recognition model is not specifically limited in the embodiment of the present application, as long as the trained material recognition model can identify the carrier material information corresponding to the transport carrier to be detected from the image to be detected.

[0032] In addition to the carrier material information of the transport carrier to be detected that may affect the safety detection results, the volume of the transport carrier to be detected will also affect the safety detection results. Since different safety detection rays have different corresponding penetration powers, it is necessary to consider and analyze the edge feature information of the transport carrier to be detected when performing safety detection on the transport carrier to be detected to ensure that the safety detection rays can penetrate the transport carrier to be detected. The preset edge recognition algorithm can be used to identify the carrier edge feature information corresponding to the transport carrier to be detected from the image to be detected. The preset edge recognition algorithm can be a Canny algorithm, a Sobel algorithm, a Laplace algorithm, etc. The specific edge recognition algorithm is not specifically limited in the embodiments of this application, as long as the carrier edge feature information corresponding to the transport carrier to be detected can be identified from the image to be detected.

[0033] The posture to be detected is the initial state of the transport carrier to be detected. In the embodiment of the present application, the transport carrier to be detected can be dragged by the preset detection and transportation equipment to complete the safety detection, that is, the transport carrier to be detected can be dragged by the preset detection and transportation equipment to achieve movement in the safety detection area after establishing a connection relationship with the preset detection and transportation equipment. The transport carrier to be detected can also be placed on the preset detection and transportation equipment to achieve movement in the safety detection area. The specific movement method of the transport carrier to be detected in the safety detection area is not specifically limited in the embodiment of the present application, wherein the safety detection area is an area where a radiation source and a detector are set, and the transport carrier to be detected needs to complete the safety detection in the safety detection area. Since an improper posture to be detected may affect the absorption, scattering and other characteristics of the transport carrier to be detected of the safety detection rays, that is, it may cause the transport carrier to be detected to have a detection blind area during the safety detection process, thereby affecting the safety detection result. Therefore, when performing safety detection on the transport carrier to be detected, it is necessary to consider and analyze the posture to be detected of the transport carrier to be detected.

[0034] Step S130: Determine the safety detection instruction information corresponding to the transport carrier to be detected based on the carrier material information, carrier edge feature information and the posture to be detected. The safety detection instruction information includes radiation control instruction information and transportation control instruction information. The radiation control instruction information is used to control the preset radiation equipment, and the transportation control instruction information is used to control the preset detection and transportation equipment.

[0035] Specifically, the safety detection instruction information corresponding to the transport carrier to be detected is determined by the carrier material information, the carrier edge feature information and the to-be-detected posture, rather than using the same safety detection instruction information for the transport carriers to be detected with different carrier materials, different edge features and different to-be-detected postures. The safety detection instruction information includes radiation control instruction information and transportation control instruction information, wherein the radiation control instruction information is used to control the radiation intensity and radiation angle of the radiation source in the safety detection area, and the transportation control instruction information is used to adjust the transportation rate and angle of the preset detection and transportation equipment in the process of moving the to-be-detected transport carrier. For example, when the volume of the to-be-detected transport carrier is large, the transportation rate of the preset detection and transportation equipment can be reduced so that the to-be-detected transport carrier can be completely scanned by the safety detection ray. The radiation control instruction information in the safety detection instruction information is controlled based on the initial radiation information, and the transportation control instruction information is controlled based on the initial transportation information, wherein the initial radiation information includes the initial radiation intensity and radiation angle, and the initial transportation information includes the initial transportation rate and initial transportation angle. The initial radiation information and the initial transportation information can be determined by relevant staff according to historical experimental data and uploaded to the detection system. The specific content of the initial radiation information and the initial transportation information is not specifically limited in the embodiment of the present application.

[0036] Step S140: Based on the safety inspection instruction information, a safety inspection is performed on the transport carrier to be inspected to obtain a corresponding scan image, and feature recognition is performed on the scan image. When the scan image contains preset abnormal features, an early warning signal is generated based on the preset abnormal features and the scan image.

[0037] Specifically, after determining the safety inspection instruction information, the inspection system can feed back the safety inspection instruction information to the preset radiation equipment and the preset inspection transportation equipment, so that the preset radiation equipment can operate according to the radiation control instruction information, and the preset inspection transportation equipment can operate according to the transportation control instruction information. The scanned image obtained after the safety inspection of the transport carrier to be inspected based on the safety inspection instruction information is the internal image of the transport carrier to be inspected. By performing feature recognition on the scanned image, it is convenient to judge whether the loaded goods are damaged, leaked, etc., and it can also be judged whether the transport carrier to be inspected contains loaded goods that violate the preset transportation rules.

[0038] The preset abnormal features can be determined by relevant staff based on historical manual inspection data and uploaded to the inspection system. When the scanned image contains the preset abnormal features, an early warning signal can be generated immediately to remind relevant staff to respond and resolve the abnormal situation in a timely manner. Since different materials have different absorption effects on safety detection rays, that is, the scanned colors presented by the transport carriers to be inspected of different materials in the scanned image are also different, the preset abnormal features can be preset color areas. In addition, different loaded goods that violate the preset transportation rules usually have different shapes, such as the narrow and long shape of a dagger, the triangular shape of a triangular knife, etc. Therefore, the preset abnormal features can also be preset abnormal shapes. The specific preset abnormal features are not specifically limited in the embodiments of this application.

[0039] For the embodiments of the present application, the corresponding safety inspection instruction information is determined after analyzing the carrier material, carrier edge and posture of the transport carrier to be inspected, so as to facilitate improving the adaptability between the safety inspection instruction information and the transport carrier to be inspected. Compared with the safety inspection of the transport carrier to be inspected by using a fixed inspection method, personalized safety inspection instruction information is formulated for the transport carrier to be inspected, so as to facilitate displaying the actual loading situation of the transport carrier to be inspected through a scanned image, that is, to facilitate improving the accuracy of the safety inspection results. In addition, by performing feature recognition on the scanned image and timely generating a warning signal when the scanned image contains preset abnormal features, it is convenient for relevant personnel to promptly discover abnormal situations in safety inspections.

[0040] Furthermore, in order to reduce the probability of detection errors caused by position deviation, the safety detection instruction information corresponding to the transport carrier to be detected is determined based on the carrier material information, the carrier edge feature information and the posture to be detected, which may specifically include: Based on the carrier material information and the carrier edge feature information, the radiation instruction information corresponding to the transport carrier to be detected is determined, and the radiation instruction information includes the radiation intensity and the radiation angle; based on the carrier edge feature information and the posture to be detected, the transportation instruction information corresponding to the transport carrier to be detected is determined, and the transportation instruction information includes the transportation speed and the transportation adjustment angle; based on the radiation instruction information and the transportation instruction information, the safety detection instruction information corresponding to the transport carrier to be detected is determined.

[0041] Specifically, different carrier materials have different absorption effects on safety detection rays. For example, some high-density materials may have a better shielding effect on the radiation of safety detection rays, while some low-density materials may have a strong absorption or scattering effect on the radiation of safety detection rays. Therefore, when determining the radiation instruction information corresponding to the transport carrier to be detected, it is necessary to analyze the carrier material information of the transport carrier to be detected. Specifically, the radiation intensity corresponding to the carrier material information can be determined based on the carrier material information and the preset intensity mapping relationship, wherein the preset intensity mapping relationship is the correspondence between the carrier material information and the radiation intensity. The specific content is not specifically limited in the embodiments of the present application, and can be determined by relevant staff based on historical experimental data and uploaded to the detection system. Based on the carrier edge feature information of the transport carrier to be detected, it is convenient to understand the area where the transport carrier to be detected needs to be scanned by radiation, so as to facilitate the analysis and understanding of the thickness that the safety detection ray needs to penetrate. After the carrier edge feature information of the transport carrier to be detected is determined according to the edge detection algorithm, etc., the three-dimensional simulation model corresponding to the transport carrier to be detected can be determined according to the preset three-dimensional reconstruction technology, and the three-dimensional simulation model is simulated by performing simulated ray scanning to achieve the scanning coverage of the simulated ray. The radiation angle is simulated during the simulated scanning process, and finally the radiation angle in the radiation instruction information is determined based on the simulated radiation angle.

[0042] By analyzing the edge feature information of the carrier, it is also convenient to understand the size of the transport carrier to be detected. For a larger transport carrier to be detected, if the transportation speed is too fast, the safety detection ray may not be able to fully penetrate the transport carrier to be detected, which may affect the safety detection result. Therefore, the carrier edge feature information of the transport carrier to be detected needs to be considered when determining the transportation instruction information. In addition, the posture to be detected is convenient for judging whether there is an offset in the transport carrier to be detected. When the transport carrier to be detected is offset, the safety detection ray may not be able to cover the entire transport carrier to be detected, that is, if the transport carrier to be detected is offset, a safety detection blind spot may occur, thereby affecting the safety inspection result. In the embodiment of the present application, by comparing the posture to be detected with the preset standard detection posture, when the posture to be detected is inconsistent with the preset standard detection posture, the detection posture of the transport carrier to be detected can be adjusted by determining the transportation adjustment angle to make the posture to be detected consistent with the preset standard detection posture.

[0043] By determining the radiation intensity and radiation angle of the transport carrier to be inspected, radiation instruction information can be generated for regulating the preset radiation equipment. By determining the transport rate and transport adjustment angle, transport instruction information can be generated for regulating the preset inspection and transport equipment.

[0044] Furthermore, in order to promptly discover and eliminate abnormal situations in the security detection process, the method provided in the embodiment of the present application also includes: Perform resolution identification on the scanned image in real time. When the scanned image contains a hidden danger area image, obtain the hidden danger edge information and hidden danger resolution corresponding to the hidden danger area image, and the hidden danger resolution corresponding to the hidden danger area image is lower than the preset standard resolution; determine the hidden danger ratio between the hidden danger area image and the scanned image based on the hidden danger edge information; when the hidden danger ratio is lower than the preset ratio, determine the resolution difference based on the hidden danger resolution and the preset standard resolution, and determine the first target adjustment value corresponding to the resolution difference based on the mapping relationship between the resolution difference and the first preset adjustment value, the first preset adjustment value mapping relationship being the corresponding relationship between the resolution difference and the first target adjustment value, and the first target adjustment value including the first target radiation intensity adjustment value and the first target transport rate adjustment value; update the safety detection instruction information corresponding to the transport carrier to be detected in real time based on the first target adjustment value.

[0045] Specifically, as the transport carrier to be detected moves, the scanned image will gradually change until a complete scanned image corresponding to the transport carrier to be detected is generated. During the scanning process of the transport carrier to be detected, the obtained scanned image can be analyzed in real time to find the hidden danger area contained in the real-time scanned image. The hidden danger resolution corresponding to the hidden danger area is lower than the preset standard resolution. The specific preset standard resolution is not specifically limited in the embodiment of the present application, and can be determined by relevant staff based on historical experimental data and uploaded to the detection system. Since the safety detection instruction information is preliminarily determined based on the image to be detected, the specific transport carrier to be detected is not clear before the safety detection of the transport carrier to be detected. Therefore, in the actual scanning process, the hidden danger area may exist in the real-time scanned image due to problems such as inaccurate radiation intensity or covered cargo. The corresponding resolution can be determined by identifying the pixel value in the real-time scanned image, and the method of identifying the resolution is not specifically limited in the embodiment of the present application. The hidden danger area image is an image that only contains the hidden danger area, wherein the hidden danger edge information is the edge point coordinates corresponding to the hidden danger area, and the hidden danger edge information is used to facilitate the determination of the size of the hidden danger area.

[0046] The hidden danger ratio between the hidden danger area image and the scanned image can be determined by analyzing the size of the hidden danger area. The larger the size of the hidden danger area, the higher the corresponding hidden danger ratio.

[0047] When the hidden danger ratio is lower than the preset ratio, the range representing the hidden danger area is small. At this time, the hidden danger resolution of the hidden danger area image can be improved by adjusting the safety detection instruction information, thereby improving the instruction of the scanned image. Since multiple preset radiation devices are set during the safety detection of the transport carrier to be detected, the same position to be detected or the same area to be detected in the transport carrier to be detected may be irradiated by different preset radiation devices. Therefore, when the hidden danger area is included in the scanning process, the hidden danger resolution corresponding to the hidden danger area can be improved by timely adjusting the safety detection instruction information. The specific adjustment method can be: first determine the resolution difference between the hidden danger resolution and the preset standard resolution, different resolution differences represent different hidden danger situations in the hidden danger area, and personalize the safety detection instruction information based on different resolution differences to facilitate improving the adaptability between the safety detection instruction information and the actual situation of the transport carrier to be detected.

[0048] After determining the resolution difference, the first target adjustment value corresponding to the resolution difference can be determined based on the first preset adjustment value mapping relationship, wherein the first preset adjustment value mapping relationship contains the first target adjustment value corresponding to any resolution difference, and the larger the resolution difference, the larger the corresponding first target adjustment value, wherein the first target adjustment value includes the first target radiation intensity adjustment value and the first target transportation rate adjustment value, and the specific content is not specifically limited in the embodiment of the present application, and can be determined by relevant staff according to historical experimental data and uploaded to the detection system. After determining the first target adjustment value, the radiation intensity in the safety detection instruction information can be adjusted based on the first target radiation intensity adjustment value, and the transportation rate in the safety detection instruction information can be adjusted based on the first target transportation rate adjustment value, and the updated safety detection instruction information is obtained. The radiation intensity and transportation rate in the safety detection instruction information are flexibly updated according to the resolution difference, so as to facilitate the timely elimination of the corresponding abnormal situation, and finally, the safety detection of the transport carrier to be detected is performed based on the updated safety component detection instruction information, so as to facilitate the improvement of the accuracy of the safety detection results.

[0049] Furthermore, when the hidden danger ratio is not lower than the preset ratio, the method further includes: Based on the mapping relationship between the resolution difference and the second preset adjustment value, determine the second target adjustment value corresponding to the resolution difference, the second preset adjustment value mapping relationship is the corresponding relationship between the resolution difference and the second target adjustment value, the second target adjustment value includes the second target radiation intensity adjustment value and the second target transport rate adjustment value; according to the image to be detected and the scanned image, determine the three-dimensional point position of the hidden danger area in the transport carrier to be detected; obtain the current position of the mobile detection device, determine the movement instruction information based on the current position and the three-dimensional point position, the movement instruction information includes the movement route and the movement detection route; based on the second target adjustment value and the movement instruction information, control the mobile detection device to perform safety detection on the hidden danger area to obtain a mobile scanning image; based on the mobile scanning image, update the hidden danger area image to obtain an updated scanning image.

[0050] Specifically, when the hidden danger ratio between the hidden danger area image and the scanned image is not less than the preset ratio, the range of the hidden danger area is large and the hidden danger situation is serious. At this time, the safety detection instruction information needs to be adjusted based on the second preset adjustment value mapping relationship. Similarly, it is necessary to first determine the second target adjustment value corresponding to the resolution difference according to the second preset adjustment value mapping relationship. The second target adjustment value includes the second target radiation intensity adjustment value and the second transportation rate adjustment value. The corresponding adjustment amplitude when the safety detection instruction information is adjusted based on the second target adjustment value is larger than the corresponding adjustment amplitude when the safety detection instruction information is adjusted based on the first target adjustment value. The specific content of the second preset adjustment value mapping relationship is not specifically limited in the embodiment of the present application, and can be determined by relevant staff based on historical experimental data and uploaded to the detection system.

[0051] When determining the three-dimensional points corresponding to the hidden danger area, the detection plane points corresponding to the hidden danger area can be determined first according to the image to be detected, and then the three-dimensional points corresponding to the detection plane points can be determined from the scanned image. The method of corresponding three-dimensional points to the hidden danger area is not specifically limited in the embodiment of the present application. The mobile detection device is a movable radiation device that can communicate with the detection system. When the hidden danger situation in the hidden danger area is more serious, the hidden danger area can be targetedly detected by driving the mobile detection device. Before driving the mobile detection device, it is necessary to formulate a moving route of the mobile detection device according to the current position of the mobile device and the three-dimensional points of the hidden danger area, so that the mobile detection device can be quickly moved to the hidden danger area in a short time. A telescopic rod is also provided on the mobile detection device for controlling the mobile radiation source to move up and down. The mobile detection route is the moving route of the mobile radiation source. The mobile detection device can be controlled to move based on the moving route and the mobile command information generated by the mobile detection route. The radiation intensity in the safety detection instruction information is adjusted based on the second target adjustment value to obtain an updated radiation intensity. Finally, a mobile scanning image can be obtained after a safety detection of the hidden danger area based on the mobile instruction information and the updated radiation intensity. The mobile scanning image no longer contains the hidden danger area. The mobile scanning image can replace the hidden danger area image, thereby improving the resolution of the scanned image and further improving the quality of the scanned image.

[0052] By formulating corresponding mobile instruction information for the mobile detection equipment, it is convenient to accurately guide the safety detection work of the movement path of the mobile detection equipment, avoid blind search or invalid movement during the mobile detection process, and finally, update the scanned image in time according to the mobile scanned image, so as to improve the effectiveness of the scanned image, thereby improving the accuracy of the safety detection results.

[0053] Furthermore, in order to enhance the attention of relevant staff to the abnormal prompt information with associated relationships, the method provided in the embodiment of the present application further includes steps S1 to S6, such as Figure 2 As shown, where: Step S1: Determine the hidden danger area image whose hidden danger ratio is lower than the preset ratio as the hidden danger area image of concern, and count the abnormal prompt information corresponding to each hidden danger area image of concern in the scanned image and the generation time of each abnormal prompt information in real time. The abnormal prompt information of the hidden danger area image includes the hidden danger resolution and the hidden danger ratio.

[0054] Specifically, the severity of the hidden danger situation corresponding to the hidden danger area image whose hidden danger ratio is lower than the preset ratio is low. At this time, the hidden danger situation can be improved by adjusting the safety component detection instruction information. However, in order to reduce the further deterioration of the hidden danger situation, it is necessary to continue to pay attention to such hidden danger areas so that they can be discovered in time when deterioration occurs. The number of hidden danger area images to be paid attention to can be one or more, and the specific number is not specifically limited in the embodiment of this application. The abnormal prompt information corresponding to each hidden danger area image can be generated based on the hidden danger resolution and hidden danger ratio corresponding to the hidden danger area image, and the abnormal prompt information is convenient for intuitively viewing the specific hidden danger situation of the corresponding hidden danger area.

[0055] Step S2: based on the generation time of each abnormal prompt information, all abnormal prompt information are sorted to generate real-time scrolling prompt information.

[0056] Specifically, the real-time scrolling prompt information can be displayed in the display interface corresponding to the detection system to remind relevant staff in real time. All abnormal prompt information can also be viewed through the terminal device of the relevant access personnel. In the real-time scrolling prompt information, the display order of different abnormal prompt information is determined based on the generation time of the abnormal prompt information. Since the image of the hidden danger area will change based on the safety detection process, that is, the abnormal prompt information will disappear or be added as the safety detection process progresses, the scrolling prompt information will also change as the safety detection process progresses.

[0057] Step S3: When the number of abnormal prompt information is higher than a preset threshold, identify the hidden danger edge information of the hidden danger area corresponding to each abnormal prompt information, and determine the associated abnormal prompt information from all the abnormal prompt information according to each hidden danger edge information, and the hidden danger edge information corresponding to the associated abnormal prompt information has an overlapping area.

[0058] Specifically, when the number of abnormal prompt information contained in the real-time scrolling prompt information is large, the hidden danger edge information corresponding to different abnormal prompt information can be analyzed to determine the association between different hidden danger areas, and then the corresponding associated abnormal prompt information can be folded based on the association between each hidden danger area, thereby improving the readability of the real-time scrolling prompt information, and facilitating the attention of relevant staff to the current more important content, so as to facilitate helping relevant staff to better focus on and understand abnormal situations. When determining the associated abnormal prompt information from multiple abnormal prompt information, the hidden danger edge information of the hidden danger area corresponding to each abnormal prompt information can be compared, that is, the hidden danger area corresponding to each abnormal prompt information is folded, and the abnormal prompt information corresponding to the hidden danger area with overlapping areas is determined as the associated abnormal prompt information. In order to further improve the readability of the real-time scrolling prompt information, the overlapping area of ​​the overlapping area can be limited. In the embodiment of the present application, the specific area of ​​the overlapping area is not set, and can be set according to the needs of relevant technical personnel.

[0059] Step S4: obtaining the associated scrolling position of each associated abnormal prompt information in the real-time scrolling prompt information, determining the target front scrolling position from all associated scrolling positions, and determining the associated abnormal prompt information corresponding to the target front scrolling position as the target associated abnormal prompt information.

[0060] Specifically, the scrolling position of each associated abnormal prompt information is identified from the real-time scrolling prompt information, and the scrolling position of each associated abnormal prompt information is determined as the associated scrolling position, and the scrolling position in the front row of all associated scrolling positions is the target front row scrolling position. For example, there are 3 associated scrolling positions, which are respectively located in the third row, the fifth row and the eighth row. The target front row scrolling position can be determined from the 3 associated scrolling positions as the third row.

[0061] The associated abnormality prompt information corresponding to the target front scrolling position is the target associated abnormality prompt information. In addition to determining the associated abnormality prompt information corresponding to the target front scrolling position as the target associated abnormality prompt information, multiple associated abnormality prompt information can also be integrated and the integrated prompt information can be determined as the target associated abnormality prompt information.

[0062] Step S5: Based on the associated number of all associated abnormal prompt information and the preset ranking mapping relationship, determine the adjustment ranking corresponding to the associated number, and update the target front row scrolling position of the target associated abnormal prompt information based on the adjusted ranking. The preset ranking mapping relationship is the corresponding relationship between the associated number and the adjusted ranking.

[0063] Specifically, different numbers of associations correspond to different adjustment rankings. The more numbers of associations, the higher the corresponding adjustment rankings. For example, if the target front row scrolling position is the third rank, when the target associated abnormality prompt information corresponds to 3 associated abnormality prompt information, the adjustment ranking can be determined to be 1, that is, based on the original target front row scrolling position, adjust 1 rank upward, and the updated target front row scrolling position is the second rank; when the target associated abnormality prompt information corresponds to 6 associated abnormality prompt information, the adjustment ranking can be determined to be 2, that is, based on the original target front row scrolling position, adjust 2 ranks upward, and the updated target front row scrolling position is the first rank. The adjustment ranking corresponding to any number of associations can be determined according to the preset ranking mapping relationship. The specific content of the preset ranking mapping relationship is not specifically limited in the embodiments of the present application, and can be determined by relevant staff based on historical experimental data and uploaded to the detection system.

[0064] Among them, when the target front row scrolling position is the first rank and the adjusted ranking is not 0, the delayed display duration can be determined according to the adjusted ranking. The higher the adjusted ranking, the longer the corresponding delayed display duration. There is a corresponding relationship between the adjusted ranking and the delayed display duration. The specific content of this corresponding relationship is not specifically limited in the embodiments of the present application.

[0065] Step S6: clearing the associated abnormal prompt information corresponding to other associated scrolling positions from the real-time scrolling prompt information, where the other associated scrolling positions are scrolling positions other than the target front row scrolling position.

[0066] Specifically, after determining the target-associated abnormal prompt information and the corresponding target front-row scrolling position, other associated abnormal prompt information that is associated with the target-associated abnormal prompt information is deleted from the real-time scrolling prompt information, so as to reduce the redundant information of the real-time scrolling prompt information and improve the readability and effectiveness of the real-time scrolling prompt information.

[0067] For the embodiments of the present application, corresponding abnormal prompt information is generated from the image of the hidden danger area where the hidden danger situation is more serious, and is displayed in sequence based on the generation time of each abnormal prompt information, so that relevant staff can understand and analyze the abnormal situation in the safety detection process. When different abnormal prompt information are related, the abnormal prompt information is merged and the display order is updated. While reducing redundant abnormal prompt information, the attention of relevant staff to the abnormal prompt information with related relationships is improved, and it is also convenient for relevant staff to respond to and resolve abnormal situations in a timely manner.

[0068] Furthermore, in order to improve the rationality of allocating security detection resources, the method provided in the embodiment of the present application also includes: Identify carrier component feature information corresponding to the transport carrier to be inspected from the image to be inspected. When the carrier component feature information contains preset component features, divide the transport carrier to be inspected to obtain at least two images of the area to be inspected, each image of the area to be inspected contains the corresponding transport carrier of the area to be inspected; determine regional safety inspection instruction information corresponding to each transport carrier of the area to be inspected based on each image of the area to be inspected, and identify regional features contained in each transport carrier of the area to be inspected; determine safety inspection instruction information corresponding to the transport carrier to be inspected based on the regional features and regional safety inspection instruction information corresponding to each transport carrier of the area to be inspected.

[0069] Specifically, the carrier component feature information of the transport carrier to be detected can be identified from the image to be detected by a feature recognition algorithm. The specific feature recognition algorithm is not specifically limited in the embodiment of the present application, as long as the carrier component features of the transport carrier to be detected can be identified from the image to be detected. The preset component features can be a vehicle connection component, a container connection component, a luggage compartment pull rod, etc. The specific preset component features are not specifically limited in the embodiment of the present application. For example, when the transport carrier to be detected is two containers, the containers are connected by a connecting chain. At this time, the transport carrier to be detected can be divided into three parts, namely, container 1, connecting chain, and container 2, and each divided part corresponds to an image of the area to be detected. Alternatively, when the transport carrier to be detected is a truck, the transport carrier to be detected can be divided into an image of the area to be detected corresponding to the front of the truck, and an image of the area to be detected corresponding to the body of the truck.

[0070] Since different images of the area to be detected correspond to different transport carriers in the area to be detected, the appropriate safety inspection instruction information for different transport carriers in the area to be detected may also be different. After the entire transport carrier to be detected is divided, the regional safety inspection instruction information corresponding to each transport carrier in the area to be detected is determined based on the method of determining the safety inspection instruction information corresponding to the transport carrier to be detected in the above embodiment. The specific determination process is not repeated here. By analyzing the carrier component feature information of the transport carrier to be detected, it is convenient to formulate different regional safety inspection instruction information for different transport carriers in the area to be detected, thereby improving the adaptability between the safety inspection method and the corresponding carrier component feature, and also facilitating the rationality of allocating safety inspection resources.

[0071] The present application provides a detection system, such as Figure 3 As shown, Figure 3The detection system 300 shown includes: a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, such as through a bus 302. Optionally, the detection system 300 may also include a transceiver 304. It should be noted that in actual applications, the transceiver 304 is not limited to one, and the structure of the detection system 300 does not constitute a limitation on the embodiments of the present application.

[0072] The processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. The processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0073] The bus 302 may include a path to transmit information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 The fact that only one line is used in the diagram does not mean that there is only one bus or only one type of bus.

[0074] The memory 303 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0075] The memory 303 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the contents shown in the above method embodiment.

[0076] The detection system includes but is not limited to: mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle terminals (such as vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. It can also be a server, etc. Figure 3 The detection system shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0077] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer-readable storage medium is run on a computer, the computer can execute the corresponding content in the aforementioned method embodiment.

[0078] An embodiment of the present application provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the method in any of the above embodiments is implemented.

[0079] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0080] The above description is only a partial implementation method of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A radiation safety detection method, characterized in that: include: Acquire an image of a transport carrier to be detected, where the transport carrier to be detected is a transport carrier carrying goods; Identify the carrier material information, carrier edge feature information and the posture to be detected of the transport carrier to be detected from the image to be detected, wherein the posture to be detected is the posture of the transport carrier to be detected at a preset detection and transportation equipment, and the preset detection and transportation equipment is used to transport the transport carrier to be detected during the radiation safety detection of the transport carrier to be detected; Determine the safety detection instruction information corresponding to the transport carrier to be detected based on the carrier material information, carrier edge feature information and the posture to be detected, wherein the safety detection instruction information includes radiation control instruction information and transport control instruction information, wherein the radiation control instruction information is used to control the preset radiation equipment, and the transport control instruction information is used to control the preset detection transport equipment; Based on the safety inspection instruction information, a safety inspection is performed on the transport carrier to be inspected to obtain a corresponding scan image, and feature recognition is performed on the scan image. When the scan image contains preset abnormal features, a warning signal is generated based on the preset abnormal features and the scan image.

2. A radiation safety detection method according to claim 1, characterized in that: The determining of the safety detection instruction information corresponding to the transport carrier to be detected based on the carrier material information, the carrier edge feature information and the posture to be detected includes: Determine the radiation instruction information corresponding to the transport carrier to be detected based on the carrier material information and the carrier edge feature information, wherein the radiation instruction information includes radiation intensity and radiation angle; Determine the transport instruction information corresponding to the transport carrier to be detected based on the carrier edge feature information and the posture to be detected, wherein the transport instruction information includes a transport speed and a transport adjustment angle; The safety inspection instruction information corresponding to the transport carrier to be inspected is determined based on the radiation instruction information and the transport instruction information.

3. A radiation safety detection method according to claim 2, characterized in that: Also includes: Performing resolution identification on the scanned image in real time, and when the scanned image contains a hidden danger area image, obtaining hidden danger edge information and hidden danger resolution corresponding to the hidden danger area image, wherein the hidden danger resolution corresponding to the hidden danger area image is lower than a preset standard resolution; Determine a hidden danger ratio value between the hidden danger area image and the scanned image based on the hidden danger edge information; When the hidden danger proportion value is lower than the preset proportion value, a resolution difference is determined based on the hidden danger resolution and the preset standard resolution, and a first target adjustment value corresponding to the resolution difference is determined based on a mapping relationship between the resolution difference and a first preset adjustment value, wherein the first preset adjustment value mapping relationship is a corresponding relationship between the resolution difference and the first target adjustment value, and the first target adjustment value includes a first target radiation intensity adjustment value and a first target transport rate adjustment value; The safety detection instruction information corresponding to the transport carrier to be detected is updated in real time based on the first target adjustment value.

4. A radiation safety detection method according to claim 3, characterized in that: When the hidden danger proportion value is not less than the preset proportion value, the method further includes: Based on the mapping relationship between the resolution difference and the second preset adjustment value, determining a second target adjustment value corresponding to the resolution difference, wherein the second preset adjustment value mapping relationship is a corresponding relationship between the resolution difference and the second target adjustment value, and the second target adjustment value includes a second target radiation intensity adjustment value and a second target transport rate adjustment value; Determine the three-dimensional point position of the hidden danger area in the transport carrier to be detected according to the image to be detected and the scanned image; Acquire the current position of the mobile detection device, and determine the mobile instruction information based on the current position and the three-dimensional point position, wherein the mobile instruction information includes a mobile route and a mobile detection route; Based on the second target adjustment value and the movement instruction information, the mobile detection device is controlled to perform safety detection on the hidden danger area to obtain a mobile scanning image; The hidden danger area image is updated based on the mobile scanning image to obtain an updated scanning image.

5. A radiation safety detection method according to claim 3, characterized in that: Also includes: Determine the hidden danger area image whose hidden danger ratio is lower than the preset ratio as the hidden danger area image of concern, and count the abnormal prompt information corresponding to each hidden danger area image of concern in the scanned image and the generation time of each abnormal prompt information in real time, wherein the abnormal prompt information of the hidden danger area image includes the hidden danger resolution and the hidden danger ratio; Based on the generation time of each abnormal prompt information, all abnormal prompt information are sorted to generate real-time scrolling prompt information; When the number of abnormal prompt information is higher than a preset threshold, the hidden danger edge information of the hidden danger area corresponding to each abnormal prompt information is identified, and the associated abnormal prompt information is determined from all the abnormal prompt information according to each hidden danger edge information, and the hidden danger edge information corresponding to the associated abnormal prompt information has an overlapping area; Obtaining an associated scrolling position of each associated abnormal prompt information in the real-time scrolling prompt information, determining a target front-row scrolling position from all associated scrolling positions, and determining the associated abnormal prompt information corresponding to the target front-row scrolling position as the target associated abnormal prompt information; Based on the association quantity of all associated abnormal prompt information and the preset ranking mapping relationship, determining the adjustment ranking corresponding to the association quantity, and updating the target front row scrolling position of the target associated abnormal prompt information based on the adjustment ranking, wherein the preset ranking mapping relationship is the corresponding relationship between the association quantity and the adjustment ranking; The associated abnormal prompt information corresponding to other associated scrolling positions is cleared from the real-time scrolling prompt information, and the other associated scrolling positions are other scrolling positions except the target front row scrolling position.

6. A radiation safety detection method according to claim 1, characterized in that: Also includes: Identify the carrier component feature information corresponding to the transport carrier to be detected from the image to be detected, and when the carrier component feature information contains a preset component feature, divide the transport carrier to be detected to obtain at least two images of the area to be detected, each of which contains the corresponding transport carrier in the area to be detected; Determine the regional safety detection instruction information corresponding to each transport carrier in the area to be detected based on each image of the area to be detected, and identify the regional features contained in each transport carrier in the area to be detected; Based on the regional characteristics and regional safety detection instruction information corresponding to each transport carrier in the area to be detected, the safety detection instruction information corresponding to the transport carrier to be detected is determined.

7. A detection system, characterized in that: The detection system includes: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute a radiation safety detection method according to any one of claims 1-6.

8. A computer-readable storage medium, characterized in that: include: A computer program is stored which can be loaded by a processor and execute a radiation safety detection method as claimed in any one of claims 1 to 6.

9. A computer program product, characterized in that The invention comprises a computer program, which, when executed by a processor, implements the steps of a radiation safety detection method according to any one of claims 1 to 6.

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