A method and system for online evaluation of a vehicle-mounted radiological protection barrier for physical examination

Abstract

The present application relates to the technical field of radiation protection barrier production, and particularly relates to a vehicle-mounted radiation protection barrier online evaluation method and system for physical examination, which obtains process parameter information of a workpiece to be evaluated, obtains specification parameters of the workpiece to be evaluated based on the process parameter information, constructs a simulated three-dimensional model diagram of the workpiece to be evaluated if the actual radiation attenuation rate value is not greater than the preset radiation attenuation rate threshold, and preforms a crack sample model diagram, obtains a screened three-dimensional model diagram based on the simulated three-dimensional model diagram and the crack sample model diagram, obtains crack characteristic information in the screened three-dimensional model diagram, evaluates the workpiece to be evaluated based on the crack characteristic information, and obtains a first evaluation result or a second evaluation result. The present application can obtain the best repair scheme of unqualified semi-finished lead plates, so as to repair the semi-finished lead plates and reduce the scrap cost.

Description

Technical Field

[0001] This invention relates to the field of radiation protection barrier manufacturing technology, and in particular to an online evaluation method and system for vehicle-mounted radiation protection barriers used in physical examinations. Background Technology

[0002] In the medical field, with the continuous advancement of technology, the application of high-energy X-rays is becoming increasingly widespread. Mobile medical examination vehicles, due to their flexibility and convenience, play a significant role in routine medical checkups. However, during these examinations, there are inevitably interactions between doctors and patients, and medical staff and physicians inevitably enter a radiation environment, posing significant potential health risks over time. Therefore, in the field of interventional radiology, shielding medical personnel is the best radiation protection measure, given the specific needs of the industry. Lead, as the non-radioactive element with the highest atomic number, has become the best choice for protection against high-energy radiation. Lead plates, lead rubber, and inorganic lead glass, among other protective barriers, have emerged, providing interventional radiologists with a safe and reliable working environment to varying degrees.

[0003] The main production steps of lead plates include raw material melting, casting, cooling, online evaluation and inspection of semi-finished products, edge trimming, polishing, finished product inspection, and packaging for shipment. After the casting and cooling steps, online evaluation and inspection of semi-finished products is necessary. This is because after casting and cooling, lead plates are prone to cracking, splitting, and unevenness, which reduces their X-ray absorption capacity and impairs their protective performance. Therefore, to prevent substandard lead plates from entering subsequent production steps and to avoid the continued processing of already ineffective lead plates, an online evaluation and inspection step is needed. This allows for timely evaluation and detection of substandard semi-finished products, enabling appropriate handling measures. Therefore, this paper proposes an online evaluation method and system for vehicle-mounted radiation protection barriers used in medical examinations to achieve this function. Summary of the Invention

[0004] This invention overcomes the shortcomings of the prior art and provides an online evaluation method and system for vehicle-mounted radiation protection barriers used in physical examinations.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0006] This invention discloses an online evaluation method for vehicle-mounted radiation protection barriers used in physical examinations, comprising the following steps:

[0007] Obtain the process parameter information of the workpiece to be evaluated, and obtain the specification parameters of the workpiece to be evaluated based on the process parameter information; determine the preset radiation attenuation rate threshold of the workpiece to be evaluated based on the specification parameters, obtain the actual radiation attenuation rate value of the workpiece to be evaluated, and if the actual radiation attenuation rate value is greater than the preset radiation attenuation rate threshold, generate the first evaluation result.

[0008] If the actual radiation attenuation rate value is not greater than the preset radiation attenuation rate threshold, then a simulated three-dimensional model of the workpiece to be evaluated is constructed, and a crack sample model is prefabricated. Based on the simulated three-dimensional model and the crack sample model, a filtered three-dimensional model is obtained.

[0009] Crack characteristic information is obtained from the filtered 3D model image. Based on the crack characteristic information, the workpiece to be evaluated is evaluated to obtain a first evaluation result or a second evaluation result.

[0010] Preferably, in a preferred embodiment of the present invention, a preset radiation attenuation rate threshold for the workpiece to be evaluated is determined based on the specification parameters, and the actual radiation attenuation rate value of the workpiece to be evaluated is obtained. If the actual radiation attenuation rate value is greater than the preset radiation attenuation rate threshold, a first evaluation result is generated, specifically as follows:

[0011] Pre-fabricated specimens are prepared, and the standard radiation attenuation rate of the specimens is obtained using an X-ray optical machine. A knowledge graph is constructed, and the standard radiation attenuation rate of the specimens is imported into the knowledge graph.

[0012] The specification parameters of the workpiece to be evaluated are obtained and imported into the knowledge graph. The specification parameters of the workpiece to be evaluated are then compared with the specification parameters of each specimen workpiece in the knowledge graph to obtain multiple similarities.

[0013] Construct a sorting table and import the multiple similarities into the sorting table to sort by size to obtain the maximum similarity. Obtain the standard radiation attenuation rate of the specimen workpiece corresponding to the maximum similarity and mark the standard radiation attenuation rate of the specimen workpiece corresponding to the maximum similarity as the preset radiation attenuation rate threshold of the workpiece to be evaluated.

[0014] The workpiece to be evaluated is inspected using an X-ray optical machine to obtain the actual radiation attenuation rate value of the workpiece; if the actual radiation attenuation rate value is greater than the preset radiation attenuation rate threshold, a first evaluation result is generated and output.

[0015] Preferably, in a preferred embodiment of the present invention, if the actual radiation attenuation rate value is not greater than the preset radiation attenuation rate threshold, a simulated three-dimensional model of the workpiece to be evaluated is constructed, and a crack sample model is prefabricated. Based on the simulated three-dimensional model and the crack sample model, a filtered three-dimensional model is obtained, specifically:

[0016] If the actual radiation attenuation rate value is not greater than the preset radiation attenuation rate threshold, the ultrasonic detector is used to detect the workpiece to be evaluated and obtain the acoustic characteristic information fed back by the workpiece to be evaluated. Based on the acoustic characteristic information fed back by the workpiece to be evaluated, a simulated three-dimensional model of the workpiece to be evaluated is constructed.

[0017] Pre-fabricated crack sample model diagrams are constructed and a database is built. The pre-fabricated crack sample model diagrams are then imported into the database.

[0018] Feature extraction is performed on the simulated 3D model to obtain crack model diagrams of the cracks present in the simulated 3D model; the crack model diagrams of the cracks present in the simulated 3D model are imported into the database, and the correlation analysis between the crack model diagrams and the crack sample model diagrams is performed using the grey relational analysis method to obtain the correlation degree between each crack model diagram and the crack sample model diagram.

[0019] Cracks with a correlation degree greater than a preset correlation degree are removed from the simulated 3D model image, while cracks with a correlation degree less than or equal to the preset correlation degree are retained in the simulated 3D model image, resulting in a filtered 3D model image.

[0020] Preferably, in a preferred embodiment of the present invention, crack characteristic information is obtained from the filtered three-dimensional model image, and the workpiece to be evaluated is evaluated based on the crack characteristic information to obtain a first evaluation result or a second evaluation result, specifically as follows:

[0021] Obtain crack characteristic information from the filtered 3D model image, and obtain a first ratio of cracks in the filtered 3D model image based on the crack characteristic information; compare the first ratio with a preset ratio.

[0022] If the first ratio is greater than the preset ratio, the process finished product drawing information of the workpiece to be evaluated is obtained based on the process parameter information, and a process finished product model drawing is constructed based on the process finished product drawing information.

[0023] The design references of the filtered 3D model and the finished product model are obtained, a virtual fusion space is constructed, and the filtered 3D model and the finished product model are imported into the virtual fusion space, so that the design references of the filtered 3D model and the finished product model coincide in the virtual fusion space.

[0024] The overlapping parts of the selected 3D model and the finished product model are retained, and the non-overlapping parts of the selected 3D model and the finished product model are removed to obtain the fused 3D model.

[0025] Crack characteristic information is obtained from the fused stereoscopic model image; a second ratio of cracks in the fused stereoscopic model image is obtained based on the crack characteristic information; and the second ratio is compared with a preset ratio.

[0026] If the second ratio is not greater than the preset ratio, a first evaluation result is generated and the first evaluation result is output; if the second ratio is greater than the preset ratio, a second evaluation result is generated and the second evaluation result is output.

[0027] Preferably, in a preferred embodiment of the present invention, the method further includes the following steps:

[0028] If the first ratio is not greater than the preset ratio, a spatial three-dimensional coordinate system is constructed, and the simulated three-dimensional model is imported into the spatial three-dimensional coordinate system. The absolute highest point and absolute lowest point of each plane in the simulated three-dimensional model are retrieved in the spatial three-dimensional coordinate system.

[0029] Obtain the measurement reference of the simulated 3D model diagram, calculate the distance between the absolute highest point of each plane in the simulated 3D model diagram and the measurement reference to obtain a first distance value; calculate the distance between the absolute lowest point of each plane in the simulated 3D model diagram and the measurement reference to obtain a second distance value;

[0030] Calculate the difference between the first distance value and the second distance value of each plane in the simulated 3D model diagram to obtain the distance difference value, and obtain the flatness of each plane in the simulated 3D model diagram based on the distance difference value; and compare the flatness of each plane in the simulated 3D model diagram with a preset flatness value.

[0031] If the flatness of any of the planes is not greater than the preset flatness, a second evaluation result is generated and the second evaluation result is output; if there is at least one plane whose flatness is greater than the preset flatness, the plane corresponding to the flatness greater than the preset flatness is marked as an abnormal plane, and the abnormal plane is further evaluated.

[0032] Preferably, in a preferred embodiment of the present invention, the abnormal plane is further evaluated as follows:

[0033] Obtain the flatness corresponding to the abnormal plane, construct key search terms based on the flatness corresponding to the abnormal plane, and search the database in the big data network according to the key search terms to obtain the historical repair scheme dataset;

[0034] Obtain the repair success rate corresponding to each historical repair scheme in the historical repair scheme dataset, and remove historical repair schemes with a repair success rate less than a preset repair success rate from the historical repair scheme dataset to obtain a historical repair scheme dataset after one filtering.

[0035] Obtain the repair cost corresponding to each historical repair scheme in the historical repair scheme dataset after the first screening, and remove historical repair schemes with repair costs greater than the preset cost from the historical repair scheme dataset after the first screening to obtain the historical repair scheme dataset after the second screening.

[0036] Obtain the repair success rate corresponding to the remaining historical repair schemes in the historical repair scheme dataset after the second filtering, construct a sorting table, and import the repair success rates corresponding to the remaining historical repair schemes into the sorting table for sorting by size, so as to extract the historical repair scheme with the highest repair success rate from the remaining historical repair schemes, generate a third evaluation result based on the historical repair scheme with the highest repair success rate, and output the third evaluation result.

[0037] Another aspect of this invention discloses an online evaluation system for vehicle-mounted radiation protection barriers used in physical examinations. The online evaluation system includes a storage device and a processor. The storage device stores a program for an online evaluation method of vehicle-mounted radiation protection barriers. When the processor executes the program for the online evaluation method of vehicle-mounted radiation protection barriers, it performs the following steps:

[0038] Obtain the process parameter information of the workpiece to be evaluated, and obtain the specification parameters of the workpiece to be evaluated based on the process parameter information; determine the preset radiation attenuation rate threshold of the workpiece to be evaluated based on the specification parameters, obtain the actual radiation attenuation rate value of the workpiece to be evaluated, and if the actual radiation attenuation rate value is greater than the preset radiation attenuation rate threshold, generate the first evaluation result.

[0039] If the actual radiation attenuation rate value is not greater than the preset radiation attenuation rate threshold, then a simulated three-dimensional model of the workpiece to be evaluated is constructed, and a crack sample model is prefabricated. Based on the simulated three-dimensional model and the crack sample model, a filtered three-dimensional model is obtained.

[0040] Crack characteristic information is obtained from the filtered 3D model image. Based on the crack characteristic information, the workpiece to be evaluated is evaluated to obtain a first evaluation result or a second evaluation result.

[0041] Preferably, in a preferred embodiment of the present invention, a preset radiation attenuation rate threshold for the workpiece to be evaluated is determined based on the specification parameters, and the actual radiation attenuation rate value of the workpiece to be evaluated is obtained. If the actual radiation attenuation rate value is greater than the preset radiation attenuation rate threshold, a first evaluation result is generated, specifically as follows:

[0042] Pre-fabricated specimens are prepared, and the standard radiation attenuation rate of the specimens is obtained using an X-ray optical machine. A knowledge graph is constructed, and the standard radiation attenuation rate of the specimens is imported into the knowledge graph.

[0043] The specification parameters of the workpiece to be evaluated are obtained and imported into the knowledge graph. The specification parameters of the workpiece to be evaluated are then compared with the specification parameters of each specimen workpiece in the knowledge graph to obtain multiple similarities.

[0044] Construct a sorting table and import the multiple similarities into the sorting table to sort by size to obtain the maximum similarity. Obtain the standard radiation attenuation rate of the specimen workpiece corresponding to the maximum similarity and mark the standard radiation attenuation rate of the specimen workpiece corresponding to the maximum similarity as the preset radiation attenuation rate threshold of the workpiece to be evaluated.

[0045] The workpiece to be evaluated is inspected using an X-ray optical machine to obtain the actual radiation attenuation rate value of the workpiece; if the actual radiation attenuation rate value is greater than the preset radiation attenuation rate threshold, a first evaluation result is generated and output.

[0046] Preferably, in a preferred embodiment of the present invention, crack characteristic information is obtained from the filtered three-dimensional model image, and the workpiece to be evaluated is evaluated based on the crack characteristic information to obtain a first evaluation result or a second evaluation result, specifically as follows:

[0047] Obtain crack characteristic information from the filtered 3D model image, and obtain a first ratio of cracks in the filtered 3D model image based on the crack characteristic information; compare the first ratio with a preset ratio.

[0048] If the first ratio is greater than the preset ratio, the process finished product drawing information of the workpiece to be evaluated is obtained based on the process parameter information, and a process finished product model drawing is constructed based on the process finished product drawing information.

[0049] The design references of the filtered 3D model and the finished product model are obtained, a virtual fusion space is constructed, and the filtered 3D model and the finished product model are imported into the virtual fusion space, so that the design references of the filtered 3D model and the finished product model coincide in the virtual fusion space.

[0050] The overlapping parts of the selected 3D model and the finished product model are retained, and the non-overlapping parts of the selected 3D model and the finished product model are removed to obtain the fused 3D model.

[0051] Crack characteristic information is obtained from the fused stereoscopic model image; a second ratio of cracks in the fused stereoscopic model image is obtained based on the crack characteristic information; and the second ratio is compared with a preset ratio.

[0052] If the second ratio is not greater than the preset ratio, a first evaluation result is generated and the first evaluation result is output; if the second ratio is greater than the preset ratio, a second evaluation result is generated and the second evaluation result is output.

[0053] Preferably, in a preferred embodiment of the present invention, the method further includes the following steps:

[0054] If the first ratio is not greater than the preset ratio, a spatial three-dimensional coordinate system is constructed, and the simulated three-dimensional model is imported into the spatial three-dimensional coordinate system. The absolute highest point and absolute lowest point of each plane in the simulated three-dimensional model are retrieved in the spatial three-dimensional coordinate system.

[0055] Obtain the measurement reference of the simulated 3D model diagram, calculate the distance between the absolute highest point of each plane in the simulated 3D model diagram and the measurement reference to obtain a first distance value; calculate the distance between the absolute lowest point of each plane in the simulated 3D model diagram and the measurement reference to obtain a second distance value;

[0056] Calculate the difference between the first distance value and the second distance value of each plane in the simulated 3D model diagram to obtain the distance difference value, and obtain the flatness of each plane in the simulated 3D model diagram based on the distance difference value; and compare the flatness of each plane in the simulated 3D model diagram with a preset flatness value.

[0057] If the flatness of any of the planes is not greater than the preset flatness, a second evaluation result is generated and the second evaluation result is output; if there is at least one plane whose flatness is greater than the preset flatness, the plane corresponding to the flatness greater than the preset flatness is marked as an abnormal plane, and the abnormal plane is further evaluated.

[0058] This invention addresses the technical deficiencies in the prior art and offers the following advantages: The method enables the evaluation of semi-finished lead plates. If a substandard semi-finished lead plate, after subsequent processing steps, achieves acceptable protective performance, it can proceed normally into the next processing step without additional repair measures, achieving intelligent online evaluation and avoiding misjudgments. If a substandard semi-finished lead plate, after subsequent processing steps, still fails to meet protective performance standards, it is immediately scrapped to prevent further processing and avoid the phenomenon of processing defective finished products, thus reducing processing costs. Furthermore, this invention provides the optimal repair solution for substandard semi-finished lead plates, allowing for repair and reducing scrap costs. Attached Figure Description

[0059] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, 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 the present invention. For those skilled in the art, other embodiments can be obtained from these drawings without creative effort.

[0060] Figure 1 A flowchart of the first method for online evaluation of vehicle-mounted radiation protection barriers for physical examinations;

[0061] Figure 2 A flowchart of the second method for an online assessment method of vehicle-mounted radiation protection barriers for physical examinations;

[0062] Figure 3 A flowchart of the third method for online evaluation of vehicle-mounted radiation protection barriers for physical examinations;

[0063] Figure 4 This is a system block diagram of an online evaluation system for vehicle-mounted radiation protection barriers used in physical examinations. Detailed Implementation

[0064] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.

[0065] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and therefore the scope of protection of the invention is not limited to the specific embodiments disclosed below.

[0066] This invention discloses an online evaluation method for vehicle-mounted radiation protection barriers used in physical examinations, such as... Figure 1 As shown, it includes the following steps:

[0067] S102: Obtain process parameter information of the workpiece to be evaluated, and obtain specification parameters of the workpiece to be evaluated based on the process parameter information; determine the preset radiation attenuation rate threshold of the workpiece to be evaluated based on the specification parameters, obtain the actual radiation attenuation rate value of the workpiece to be evaluated, and generate a first evaluation result if the actual radiation attenuation rate value is greater than the preset radiation attenuation rate threshold.

[0068] S104: If the actual radiation attenuation rate value is not greater than the preset radiation attenuation rate threshold, then construct a simulated three-dimensional model of the workpiece to be evaluated, and prefabricate a crack sample model. Based on the simulated three-dimensional model and the crack sample model, obtain the screened three-dimensional model.

[0069] S106: Obtain crack characteristic information from the filtered 3D model image, evaluate the workpiece to be evaluated based on the crack characteristic information, and obtain a first evaluation result or a second evaluation result.

[0070] It should be noted that the process parameter information includes the process steps for lead plate processing and production, as well as the corresponding processing engineering drawings and sub-equipment processing parameters for each process step. This process parameter information is obtained through pre-design planning by the designers. The specification parameters refer to dimensional parameters.

[0071] This method enables the evaluation of semi-finished lead sheets. If a substandard semi-finished lead sheet can achieve acceptable protective performance after subsequent processing steps, it can proceed normally into the next process without requiring additional repairs. This achieves intelligent online evaluation, avoiding misjudgments. Conversely, if a substandard semi-finished lead sheet still fails to meet protective performance standards after subsequent processing steps, it must be immediately scrapped to prevent it from continuing into the next process. This avoids processing defective products and reduces processing costs.

[0072] Preferably, in a preferred embodiment of the present invention, a preset radiation attenuation rate threshold for the workpiece to be evaluated is determined based on the specification parameters, the actual radiation attenuation rate value of the workpiece to be evaluated is obtained, and if the actual radiation attenuation rate value is greater than the preset radiation attenuation rate threshold, a first evaluation result is generated. Figure 2 As shown, specifically:

[0073] S202: Prepare a pre-made specimen workpiece, obtain the standard radiation attenuation rate of the specimen workpiece using an X-ray optical machine, construct a knowledge graph, and import the standard radiation attenuation rate of the specimen workpiece into the knowledge graph;

[0074] S204: Obtain the specification parameters of the workpiece to be evaluated, import the specification parameters of the workpiece to be evaluated into the knowledge graph, and compare the specification parameters of the workpiece to be evaluated with the specification parameters of each specimen workpiece in the knowledge graph to obtain multiple similarities.

[0075] S206: Construct a sorting table, and import the multiple similarities into the sorting table for sorting by size to obtain the maximum similarity. Obtain the standard radiation attenuation rate of the specimen workpiece corresponding to the maximum similarity, and mark the standard radiation attenuation rate of the specimen workpiece corresponding to the maximum similarity as the preset radiation attenuation rate threshold of the workpiece to be evaluated.

[0076] S208: The workpiece to be evaluated is inspected by an X-ray optical machine to obtain the actual radiation attenuation rate value of the workpiece to be evaluated; if the actual radiation attenuation rate value is greater than the preset radiation attenuation rate threshold, a first evaluation result is generated and the first evaluation result is output.

[0077] It should be noted that, firstly, various sizes of qualified specimens are prefabricated, and the standard radiation attenuation rate corresponding to each specimen is measured using an X-ray machine to obtain a knowledge graph. This allows the system to quickly match and identify the preset radiation attenuation rate thresholds corresponding to different specifications of the semi-finished lead plates to be evaluated. Specifically, when performing online evaluation and testing on the semi-finished lead plates after the casting and cooling process, the control system directly reads the process parameter information of the lead plate production from the data storage, thereby quickly obtaining the specification parameters corresponding to the semi-finished lead plates to be evaluated. These specification parameters are then imported into the knowledge graph for comparison and matching, thereby quickly obtaining the preset radiation attenuation rate threshold of the semi-finished lead plates to be evaluated. Next, the semi-finished lead sheet to be evaluated is tested using an X-ray machine to obtain the actual radiation attenuation rate value. If the actual radiation attenuation rate value is greater than the preset radiation attenuation rate threshold, it indicates that the semi-finished lead sheet has qualified radiation absorption capacity and its quality inspection is qualified. At this point, the first evaluation result is generated, allowing the semi-finished lead sheet to proceed normally to the next process step (edge ​​trimming). It should be noted that the radiation attenuation rate is one of the indicators for evaluating the absorption performance of a lead sheet. The radiation attenuation rate represents the ratio of the amount of radiation received by the lead sheet under different conditions outside and inside the radiation beam. This method can quickly evaluate and screen qualified semi-finished lead sheets, allowing them to proceed normally to subsequent process steps. Furthermore, by constructing a knowledge graph, the preset radiation attenuation rate threshold of the semi-finished lead sheet to be evaluated can be quickly obtained, reducing system computation and improving robustness.

[0078] Preferably, in a preferred embodiment of the present invention, if the actual radiation attenuation rate value is not greater than the preset radiation attenuation rate threshold, a simulated three-dimensional model of the workpiece to be evaluated is constructed, and a crack sample model is prefabricated. Based on the simulated three-dimensional model and the crack sample model, a filtered three-dimensional model is obtained, specifically:

[0079] If the actual radiation attenuation rate value is not greater than the preset radiation attenuation rate threshold, the ultrasonic detector is used to detect the workpiece to be evaluated and obtain the acoustic characteristic information fed back by the workpiece to be evaluated. Based on the acoustic characteristic information fed back by the workpiece to be evaluated, a simulated three-dimensional model of the workpiece to be evaluated is constructed.

[0080] Pre-fabricated crack sample model diagrams are constructed and a database is built. The pre-fabricated crack sample model diagrams are then imported into the database.

[0081] Feature extraction is performed on the simulated 3D model to obtain crack model diagrams of the cracks present in the simulated 3D model; the crack model diagrams of the cracks present in the simulated 3D model are imported into the database, and the correlation analysis between the crack model diagrams and the crack sample model diagrams is performed using the grey relational analysis method to obtain the correlation degree between each crack model diagram and the crack sample model diagram.

[0082] Cracks with a correlation degree greater than a preset correlation degree are removed from the simulated 3D model image, while cracks with a correlation degree less than or equal to the preset correlation degree are retained in the simulated 3D model image, resulting in a filtered 3D model image.

[0083] It should be noted that the pre-fabricated crack sample model is a microcrack with a width, height, and length all less than a preset value. This type of microcrack can be decomposed into a thin line of finite length, and a 3D model of this type of microcrack can be pre-drawn using 3D modeling software. Furthermore, it should be noted that since this type of microcrack is a linear crack, its impact on the protective performance of the lead plate is negligible. Moreover, this type of microcrack is an unavoidable phenomenon in the casting and cooling processes; therefore, it needs to be excluded when evaluating the protective performance of the lead plate.

[0084] It should be noted that if the actual radiation attenuation rate is not greater than the preset radiation attenuation rate threshold, it indicates that the semi-finished lead plate's radiation absorption capacity is unqualified, and the current quality inspection of the semi-finished lead plate is unqualified. Further evaluation of the reasons for the unqualified radiation absorption capacity of the semi-finished lead plate is required. Specifically, the acoustic characteristic information fed back by the semi-finished lead plate to be evaluated is obtained through an ultrasonic detector. The acoustic characteristic information includes the wavelength, frequency, and amplitude of the sound wave. Then, based on the acoustic characteristic information, a simulated three-dimensional model of the semi-finished lead plate to be evaluated is constructed using three-dimensional modeling software. This simulated three-dimensional model includes information on cracks (such as crazing, fissures, micro-cracks, etc.) existing inside or on the surface of the semi-finished lead plate. Then, feature extraction is performed on the simulated 3D model image using 3D software to obtain crack model images for each crack in the simulated 3D model image. Grey relational analysis is then used to perform correlation analysis between the crack model images and crack sample model images. Cracks with a correlation degree greater than a preset correlation degree are removed from the simulated 3D model image, while cracks with a correlation degree less than the preset correlation degree are retained, resulting in a filtered 3D model image. This method can remove invalid micro-cracks from the simulated 3D model image, thereby retaining effective cracks such as crazing, crazing, and fissures. This improves the accuracy of the evaluation of crack influencing factors in the simulated 3D model image, facilitating a more accurate assessment of the actual influencing factors causing the substandard radiation absorption capacity of the semi-finished lead plate. This allows the system to formulate more precise and effective measures targeting the actual influencing factors. Furthermore, by constructing a database and performing correlation analysis between the crack model images and crack sample model images, the system's operating speed and evaluation efficiency can be further improved.

[0085] Preferably, in a preferred embodiment of the present invention, crack characteristic information is obtained from the filtered three-dimensional model image, and the workpiece to be evaluated is evaluated based on the crack characteristic information to obtain a first evaluation result or a second evaluation result, specifically as follows:

[0086] Obtain crack characteristic information from the filtered 3D model image, and obtain a first ratio of cracks in the filtered 3D model image based on the crack characteristic information; compare the first ratio with a preset ratio.

[0087] If the first ratio is greater than the preset ratio, the process finished product drawing information of the workpiece to be evaluated is obtained based on the process parameter information, and a process finished product model drawing is constructed based on the process finished product drawing information.

[0088] The design references of the filtered 3D model and the finished product model are obtained, a virtual fusion space is constructed, and the filtered 3D model and the finished product model are imported into the virtual fusion space, so that the design references of the filtered 3D model and the finished product model coincide in the virtual fusion space.

[0089] The overlapping parts of the selected 3D model and the finished product model are retained, and the non-overlapping parts of the selected 3D model and the finished product model are removed to obtain the fused 3D model.

[0090] Crack characteristic information is obtained from the fused stereoscopic model image; a second ratio of cracks in the fused stereoscopic model image is obtained based on the crack characteristic information; and the second ratio is compared with a preset ratio.

[0091] If the second ratio is not greater than the preset ratio, a first evaluation result is generated and the first evaluation result is output; if the second ratio is greater than the preset ratio, a second evaluation result is generated and the second evaluation result is output.

[0092] It should be noted that after obtaining the filtered 3D model image, the crack characteristic information in the filtered 3D model image is obtained. The crack characteristic information includes the depth, width, length, and location information of the crack. The volume value of each remaining crack in the filtered 3D model image is calculated using the crack characteristic information, thereby calculating the total volume value of the remaining cracks in the filtered 3D model image. The total volume value of the remaining cracks is then compared with the total volume value of the model in the filtered 3D model image to obtain the first ratio. The first ratio can be understood as the crack concentration ratio in the filtered 3D model image. If the first ratio is greater than the preset ratio, it indicates that the crack concentration ratio of the screened 3D model image is too high, meaning that the screened 3D model image contains a large number of cracks. The presence of too many cracks reduces the radiation absorption capacity of the semi-finished lead plate, thereby compromising its protective performance. This indicates that the current unqualified protective performance of the semi-finished lead plate is due to excessive cracks. In this case, the unqualified semi-finished lead plate can be further evaluated in conjunction with subsequent process steps. Specifically, this can be achieved by obtaining the process finished product drawing information, where the process finished product drawing information refers to the semi-finished lead plate after subsequent... The process involves creating an engineering drawing of the finished lead plate after edge trimming, polishing, and other processing steps. Then, the positional information of the design references for the selected 3D model and the finished product model is obtained. A virtual fusion space is constructed using 3D software, ensuring that the design references of the selected 3D model and the finished product model coincide in this virtual fusion space. The overlapping parts of the selected 3D model and the finished product model are retained, while the non-overlapping parts are removed. This method allows for the analysis of substandard semi-finished lead plates using 3D software. The simulation processing of subsequent steps involves merging the 3D model image. This fused 3D model can be understood as the finished 3D model of the lead sheet that failed to meet protective performance standards after subsequent edge trimming, polishing, and other processes. Furthermore, the crack density ratio in the fused 3D model image may be further reduced. For example, if some cracks in the lead sheet that failed to meet protective performance standards were located in the trimming area during the trimming process, these cracks can be eliminated after the trimming process, thus reducing the crack density ratio in the fused 3D model image. At this point, a second ratio can be calculated (the calculation principle is the same as that for the first ratio). If the second ratio is not greater than the preset ratio, although the semi-finished lead plate is currently unqualified in terms of protective performance due to too many cracks in the current online evaluation and testing process, some of the cracks can be eliminated by the subsequent edge trimming, grinding and other process steps. At this point, the semi-finished lead plate is evaluated as qualified, and the first evaluation result is generated, allowing the semi-finished lead plate to flow normally into the next process step (edge ​​trimming).Conversely, if the second ratio is greater than the preset ratio, it indicates that even if the semi-finished lead plate continues to flow into subsequent process steps for processing, there will still be too many cracks in the finished product after processing, and the protective performance of the finished product will be unqualified. Furthermore, since crack defects are difficult or irreparable defects in the lead plate production process, the semi-finished lead plate will be evaluated as a defective product. At this time, a second evaluation result is generated, and the semi-finished lead plate needs to be scrapped immediately to prevent it from flowing into subsequent process steps. This method can evaluate semi-finished lead plates that currently fail to meet protective performance standards. If the protective performance of the semi-finished lead plate meets the standards after subsequent processing steps, it can proceed normally into the next processing step without additional treatment. This achieves intelligent online evaluation and avoids misjudgment. Furthermore, if the protective performance of the semi-finished lead plate still fails to meet the standards after subsequent processing steps, it should be immediately scrapped to prevent it from continuing into the next processing step. This avoids the phenomenon of processing defective finished products, thus reducing processing costs.

[0093] Preferably, in a preferred embodiment of the present invention, the method further includes the following steps:

[0094] If the first ratio is not greater than the preset ratio, a spatial three-dimensional coordinate system is constructed, and the simulated three-dimensional model is imported into the spatial three-dimensional coordinate system. The absolute highest point and absolute lowest point of each plane in the simulated three-dimensional model are retrieved in the spatial three-dimensional coordinate system.

[0095] Obtain the measurement reference of the simulated 3D model diagram, calculate the distance between the absolute highest point of each plane in the simulated 3D model diagram and the measurement reference to obtain a first distance value; calculate the distance between the absolute lowest point of each plane in the simulated 3D model diagram and the measurement reference to obtain a second distance value;

[0096] Calculate the difference between the first distance value and the second distance value of each plane in the simulated 3D model diagram to obtain the distance difference value, and obtain the flatness of each plane in the simulated 3D model diagram based on the distance difference value; and compare the flatness of each plane in the simulated 3D model diagram with a preset flatness value.

[0097] If the flatness of any of the planes is not greater than the preset flatness, a second evaluation result is generated and the second evaluation result is output; if there is at least one plane whose flatness is greater than the preset flatness, the plane corresponding to the flatness greater than the preset flatness is marked as an abnormal plane, and the abnormal plane is further evaluated.

[0098] It should be noted that if the first ratio is not greater than the preset ratio, it indicates that the crack concentration in the screened 3D model is not significant, meaning the crack concentration in the semi-finished lead plate is within the allowable range. This indicates that the current substandard protective performance of the semi-finished lead plate is not caused by crack defects. In this case, it is necessary to further evaluate the actual cause of the current substandard protective performance of the semi-finished lead plate. Specifically, a spatial 3D coordinate system is constructed using 3D software such as SolidWorks or Maya, and the absolute highest and lowest points of each plane in the simulated 3D model are retrieved from the spatial 3D coordinate system. The retrieval reference can be based on the process... The flatness of each plane in the simulated 3D model is calculated based on the positioning reference plane specified in the parameter information. This flatness represents the flatness of each plane in the semi-finished lead plate. If the flatness is not greater than the preset flatness, it indicates that the current unqualified protective performance of the semi-finished lead plate is not due to excessive flatness. This suggests that the actual cause of the unqualified protective performance is not due to the production process, but rather likely due to the use of substandard raw materials. In this case, the semi-finished lead plate is assessed as unqualified, and a second assessment result is generated. The semi-finished lead plate needs to be immediately scrapped to prevent it from entering subsequent processes. If the flatness of a plane is greater than the preset flatness, it will cause uneven lead plate thickness exceeding the allowable error range, resulting in weak local penetration resistance. This indicates that the current unqualified protective performance of the semi-finished lead plate is due to excessive flatness. In this case, the plane with flatness greater than the preset flatness is marked as an abnormal plane, and the abnormal plane is further assessed to determine whether repair is necessary. This method can further assess whether the current unsatisfactory protective performance of the semi-finished lead plate is caused by excessive flatness.

[0099] It should also be noted that in the lead plate production process, if the flatness of the lead plate is too large, a coating can be applied to repair the lead plate, thereby ensuring that the protective performance of the lead plate meets the requirements.

[0100] Preferably, in a preferred embodiment of the present invention, the abnormal plane is further evaluated, such as... Figure 3 As shown, specifically:

[0101] S302: Obtain the flatness corresponding to the abnormal plane, construct key search terms based on the flatness corresponding to the abnormal plane, and search the database in the big data network according to the key search terms to obtain a historical repair scheme dataset;

[0102] S304: Obtain the repair success rate corresponding to each historical repair scheme in the historical repair scheme dataset, and remove historical repair schemes with a repair success rate less than the preset repair success rate from the historical repair scheme dataset to obtain a historical repair scheme dataset after one filtering.

[0103] S306: Obtain the repair cost corresponding to each historical repair scheme in the historical repair scheme dataset after the first screening, and remove the historical repair schemes with repair costs greater than the preset cost from the historical repair scheme dataset after the first screening to obtain the historical repair scheme dataset after the second screening.

[0104] S308: Obtain the repair success rate corresponding to the remaining historical repair schemes in the historical repair scheme dataset after the second filtering, construct a sorting table, and import the repair success rates corresponding to the remaining historical repair schemes into the sorting table for sorting by size, so as to extract the historical repair scheme corresponding to the highest repair success rate from the remaining historical repair schemes, generate a third evaluation result based on the historical repair scheme corresponding to the highest repair success rate, and output the third evaluation result.

[0105] It should be noted that when an excessively flat surface is identified in a semi-finished lead sheet, the flatness corresponding to the abnormal surface is obtained. Then, based on the flatness of the abnormal surface, key search terms are constructed. Historical repair solutions for repairing the excessively flat surface are then retrieved from the big data database, thus aggregating these historical repair solutions into a historical repair solution dataset. Next, the repair success rate of each historical repair solution in the dataset is obtained. Historical repair solutions with a success rate lower than a preset success rate are removed from the dataset, resulting in a filtered historical repair solution dataset. This process eliminates historical repair solutions with excessively low success rates and retains those with higher success rates, ensuring a high repair success rate when repairing semi-finished lead sheets and avoiding repair failures that could lead to increased costs. Next, the repair cost corresponding to each historical repair scheme in the first-screened historical repair scheme dataset is obtained. Historical repair schemes with repair costs exceeding a preset cost are removed from the first-screened historical repair scheme dataset, resulting in a second-screened historical repair scheme dataset. This process removes historical repair schemes with excessively high repair costs, thus preventing situations where the repair cost exceeds the scrap cost of the semi-finished lead sheet during the repair process, thereby avoiding increased processing costs. Then, the historical repair scheme with the highest repair success rate is extracted from the second-screened historical repair scheme dataset. Based on this historical repair scheme with the highest repair success rate, the final repair scheme for the semi-finished lead sheet is generated, a third evaluation result is output, and the semi-finished lead sheet is then transported to the repair station for repair. During the repair process, the repair station automatically reads the final repair scheme for the semi-finished lead sheet and repairs it based on this final repair scheme. After the repair is completed, the semi-finished lead sheet can be put into subsequent process steps. This method can identify unfinished lead plates with substandard flatness and obtain the best repair plan based on the corresponding flatness, thereby repairing the unfinished lead plates and reducing scrap costs.

[0106] Furthermore, the online assessment method for vehicle-mounted radiation protection barriers used in physical examinations also includes the following steps:

[0107] If the success rate of each historical repair scheme in the historical repair scheme dataset is less than the preset success rate, then the surface model diagram of the abnormal plane is extracted from the simulated three-dimensional model diagram, and the surface model diagram is compared with the preset plane model diagram to obtain the model difference.

[0108] Obtain the material properties information of the lead plate to be evaluated, and determine the elastic yield limit load value of the abnormal plane based on the material properties;

[0109] The volume of paint required to repair the abnormal plane is calculated based on the model difference and the elastic yield limit load value.

[0110] It should be noted that if the success rate of each historical repair scheme in the historical repair scheme dataset is less than the preset success rate, then to ensure the success rate of repairing the abnormal plane, the system needs to automatically formulate a corresponding repair scheme instead of using the historical repair scheme to repair the abnormal plane. This method can automatically formulate a repair scheme for the abnormal plane, thereby ensuring the success rate of repairing the abnormal plane and avoiding the situation of repair failure.

[0111] Furthermore, the online assessment method for vehicle-mounted radiation protection barriers used in physical examinations also includes the following steps:

[0112] Within a preset time period, a simulated three-dimensional model of each workpiece to be evaluated is acquired, and the simulated three-dimensional model is divided into several sub-regions.

[0113] Crack statistics tables for each sub-region are constructed separately, and crack characteristic information of each crack in each sub-region is obtained. Based on the crack characteristic information, the volume value of each crack is calculated. It is determined whether the volume value is greater than a preset volume value. If it is greater, the crack in the sub-region is marked and extracted, and 1 is added to the total number of crack statistics tables for that sub-region.

[0114] After the simulated three-dimensional model of each workpiece to be evaluated within the preset time period is statistically analyzed, the total number of cracks in the crack statistics table of each sub-region is obtained, and the total number is compared with a preset value to obtain the crack ratio value; it is then determined whether the crack ratio value is greater than the preset ratio value.

[0115] If the crack percentage is greater than a preset percentage, the sub-region corresponding to the crack percentage being greater than the preset percentage is marked as a crack-frequent region; if the crack percentage is not greater than the preset percentage, the sub-region corresponding to the crack percentage being not greater than the preset percentage is marked as a crack-occurring region.

[0116] The working status of each casting sub-equipment in the casting process steps is obtained within a preset time period. Sub-equipment whose working status is the preset working status is marked as related sub-equipment. The correlation between the crack-frequent zone and related sub-equipment is calculated by grey relational analysis to obtain several correlation degrees.

[0117] The relevant sub-devices corresponding to phase light intensity greater than a preset phase intensity are obtained, and the relevant sub-devices corresponding to the correlation intensity greater than the preset correlation intensity are imported into a Bayesian network for secondary simulation association to obtain abnormal sub-device information, and the abnormal sub-device information is output.

[0118] It should be noted that when the volume value exceeds the preset volume value, it indicates that the crack will affect the protective performance of the lead plate. In this case, the crack in the sub-region is marked and extracted. If a sub-region is a crack-prone area, it means that the occurrence of cracks in that sub-region is not a random event, indicating that the relevant equipment in the corresponding process step has malfunctioned. If a sub-region is a crack-occurring area, it means that the occurrence of cracks in that sub-region is a random event and is normal. The correlation between crack-prone areas and related sub-equipment is calculated using grey relational analysis to initially screen out sub-equipment that may be abnormal. Then, the sub-equipment that may be abnormal is input into a Bayesian network for secondary simulation association to determine the sub-equipment that has malfunctioned, thereby quickly identifying the sub-equipment that has malfunctioned.

[0119] Furthermore, the online assessment method for vehicle-mounted radiation protection barriers used in physical examinations also includes the following steps:

[0120] The evaluation result of each evaluated workpiece is obtained, and it is determined whether the evaluation result is a preset result. If so, the crack characteristic information of the scrapped workpiece in the evaluation result is obtained, and the crack location information and crack volume information corresponding to each crack in the scrapped workpiece are determined based on the crack characteristic information.

[0121] Based on the crack location information and crack volume information corresponding to each crack, the effective area and ineffective area of ​​the scrapped workpiece are determined, and the size parameters of the effective area are obtained.

[0122] Obtain historical order information for the product, and determine the size parameters of each historical order product based on the historical order information;

[0123] If the size parameter of the effective area is greater than the size parameter of a historical order product, the scrapped workpiece is marked as usable.

[0124] It should be noted that the preset result is the second evaluation result. If the crack concentration value of a certain area in the scrapped workpiece is less than the preset concentration value, since the crack concentration value in that area is not large, the penetration resistance of that area in the scrapped lead plate is actually qualified. Therefore, this area can be marked as an effective area, and the size parameters of the effective area can be determined. Due to different customer needs, the size parameters of each historical order product are also different. For example, some customers need smaller lead plates, while others need larger lead plates. If there is an effective area in the scrapped workpiece that is larger than the size parameter of a certain historical order product, the scrapped workpiece can be stored first. When a suitable purchase order comes in, the scrapped workpiece can be cut to separate the effective area, thereby converting a part of the scrapped workpiece into a usable product. Using this method, resources can be used to the maximum extent and scrapping costs can be further reduced.

[0125] Another aspect of this invention discloses an online assessment system for vehicle-mounted radiation protection barriers used in physical examinations. The online assessment system includes a storage unit 41 and a processor 62. The storage unit 41 stores a program for an online assessment method of vehicle-mounted radiation protection barriers. When the processor 62 executes the program for the online assessment method of vehicle-mounted radiation protection barriers, such as... Figure 4 As shown, the following steps are performed:

[0126] Obtain the process parameter information of the workpiece to be evaluated, and obtain the specification parameters of the workpiece to be evaluated based on the process parameter information; determine the preset radiation attenuation rate threshold of the workpiece to be evaluated based on the specification parameters, obtain the actual radiation attenuation rate value of the workpiece to be evaluated, and if the actual radiation attenuation rate value is greater than the preset radiation attenuation rate threshold, generate the first evaluation result.

[0127] If the actual radiation attenuation rate value is not greater than the preset radiation attenuation rate threshold, then a simulated three-dimensional model of the workpiece to be evaluated is constructed, and a crack sample model is prefabricated. Based on the simulated three-dimensional model and the crack sample model, a filtered three-dimensional model is obtained.

[0128] Crack characteristic information is obtained from the filtered 3D model image. Based on the crack characteristic information, the workpiece to be evaluated is evaluated to obtain a first evaluation result or a second evaluation result.

[0129] Preferably, in a preferred embodiment of the present invention, a preset radiation attenuation rate threshold for the workpiece to be evaluated is determined based on the specification parameters, and the actual radiation attenuation rate value of the workpiece to be evaluated is obtained. If the actual radiation attenuation rate value is greater than the preset radiation attenuation rate threshold, a first evaluation result is generated, specifically as follows:

[0130] Pre-fabricated specimens are prepared, and the standard radiation attenuation rate of the specimens is obtained using an X-ray optical machine. A knowledge graph is constructed, and the standard radiation attenuation rate of the specimens is imported into the knowledge graph.

[0131] The specification parameters of the workpiece to be evaluated are obtained and imported into the knowledge graph. The specification parameters of the workpiece to be evaluated are then compared with the specification parameters of each specimen workpiece in the knowledge graph to obtain multiple similarities.

[0132] Construct a sorting table and import the multiple similarities into the sorting table to sort by size to obtain the maximum similarity. Obtain the standard radiation attenuation rate of the specimen workpiece corresponding to the maximum similarity and mark the standard radiation attenuation rate of the specimen workpiece corresponding to the maximum similarity as the preset radiation attenuation rate threshold of the workpiece to be evaluated.

[0133] The workpiece to be evaluated is inspected using an X-ray optical machine to obtain the actual radiation attenuation rate value of the workpiece; if the actual radiation attenuation rate value is greater than the preset radiation attenuation rate threshold, a first evaluation result is generated and output.

[0134] Preferably, in a preferred embodiment of the present invention, crack characteristic information is obtained from the filtered three-dimensional model image, and the workpiece to be evaluated is evaluated based on the crack characteristic information to obtain a first evaluation result or a second evaluation result, specifically as follows:

[0135] Obtain crack characteristic information from the filtered 3D model image, and obtain a first ratio of cracks in the filtered 3D model image based on the crack characteristic information; compare the first ratio with a preset ratio.

[0136] If the first ratio is greater than the preset ratio, the process finished product drawing information of the workpiece to be evaluated is obtained based on the process parameter information, and a process finished product model drawing is constructed based on the process finished product drawing information.

[0137] The design references of the filtered 3D model and the finished product model are obtained, a virtual fusion space is constructed, and the filtered 3D model and the finished product model are imported into the virtual fusion space, so that the design references of the filtered 3D model and the finished product model coincide in the virtual fusion space.

[0138] The overlapping parts of the selected 3D model and the finished product model are retained, and the non-overlapping parts of the selected 3D model and the finished product model are removed to obtain the fused 3D model.

[0139] Crack characteristic information is obtained from the fused stereoscopic model image; a second ratio of cracks in the fused stereoscopic model image is obtained based on the crack characteristic information; and the second ratio is compared with a preset ratio.

[0140] If the second ratio is not greater than the preset ratio, a first evaluation result is generated and the first evaluation result is output; if the second ratio is greater than the preset ratio, a second evaluation result is generated and the second evaluation result is output.

[0141] Preferably, in a preferred embodiment of the present invention, the method further includes the following steps:

[0142] If the first ratio is not greater than the preset ratio, a spatial three-dimensional coordinate system is constructed, and the simulated three-dimensional model is imported into the spatial three-dimensional coordinate system. The absolute highest point and absolute lowest point of each plane in the simulated three-dimensional model are retrieved in the spatial three-dimensional coordinate system.

[0143] Obtain the measurement reference of the simulated 3D model diagram, calculate the distance between the absolute highest point of each plane in the simulated 3D model diagram and the measurement reference to obtain a first distance value; calculate the distance between the absolute lowest point of each plane in the simulated 3D model diagram and the measurement reference to obtain a second distance value;

[0144] Calculate the difference between the first distance value and the second distance value of each plane in the simulated 3D model diagram to obtain the distance difference value, and obtain the flatness of each plane in the simulated 3D model diagram based on the distance difference value; and compare the flatness of each plane in the simulated 3D model diagram with a preset flatness value.

[0145] If the flatness of any of the planes is not greater than the preset flatness, a second evaluation result is generated and the second evaluation result is output; if there is at least one plane whose flatness is greater than the preset flatness, the plane corresponding to the flatness greater than the preset flatness is marked as an abnormal plane, and the abnormal plane is further evaluated.

[0146] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0147] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units. They may be located in one place or distributed across multiple network units. Some or all of the units may be selected to achieve the purpose of this embodiment according to actual needs.

[0148] In addition, in the various embodiments of the present invention, each functional unit can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0149] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0150] Alternatively, if the integrated units of this invention are implemented as software functional modules and sold or used as independent products, they can also be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of this invention, or the parts that contribute to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROM, RAM, magnetic disks, or optical disks.

[0151] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for online evaluation of vehicle-mounted radiation protection barriers for physical examinations, characterized in that, Includes the following steps: Obtain the process parameter information of the workpiece to be evaluated, and obtain the specification parameters of the workpiece to be evaluated based on the process parameter information; Based on the specified parameters, a preset radiation attenuation rate threshold for the workpiece to be evaluated is determined, and the actual radiation attenuation rate value of the workpiece to be evaluated is obtained. If the actual radiation attenuation rate value is greater than the preset radiation attenuation rate threshold, a first evaluation result is generated. If the actual radiation attenuation rate value is not greater than the preset radiation attenuation rate threshold, then a simulated three-dimensional model of the workpiece to be evaluated is constructed, and a crack sample model is prefabricated. Based on the simulated three-dimensional model and the crack sample model, a filtered three-dimensional model is obtained. Crack characteristic information is obtained from the filtered 3D model image. Based on the crack characteristic information, the workpiece to be evaluated is evaluated to obtain a first evaluation result or a second evaluation result.

2. The online evaluation method for vehicle-mounted radiation protection barriers for physical examinations according to claim 1, characterized in that, Based on the specified parameters, a preset radiation attenuation rate threshold is determined for the workpiece to be evaluated. The actual radiation attenuation rate value of the workpiece to be evaluated is obtained. If the actual radiation attenuation rate value is greater than the preset radiation attenuation rate threshold, a first evaluation result is generated, specifically as follows: Pre-fabricated specimens are prepared, and the standard radiation attenuation rate of the specimens is obtained using an X-ray optical machine. A knowledge graph is constructed, and the standard radiation attenuation rate of the specimens is imported into the knowledge graph. The specification parameters of the workpiece to be evaluated are obtained and imported into the knowledge graph. The specification parameters of the workpiece to be evaluated are then compared with the specification parameters of each specimen workpiece in the knowledge graph to obtain multiple similarities. Construct a sorting table and import the multiple similarities into the sorting table to sort by size to obtain the maximum similarity. Obtain the standard radiation attenuation rate of the specimen workpiece corresponding to the maximum similarity and mark the standard radiation attenuation rate of the specimen workpiece corresponding to the maximum similarity as the preset radiation attenuation rate threshold of the workpiece to be evaluated. The actual radiation attenuation rate of the workpiece to be evaluated is obtained by inspecting it with an X-ray machine. If the actual radiation attenuation rate value is greater than the preset radiation attenuation rate threshold, a first evaluation result is generated and output.

3. The online evaluation method for vehicle-mounted radiation protection barriers for physical examinations according to claim 1, characterized in that, If the actual radiation attenuation rate value is not greater than the preset radiation attenuation rate threshold, a simulated three-dimensional model of the workpiece to be evaluated is constructed, and a crack sample model is prefabricated. Based on the simulated three-dimensional model and the crack sample model, a filtered three-dimensional model is obtained, specifically: If the actual radiation attenuation rate value is not greater than the preset radiation attenuation rate threshold, the ultrasonic detector is used to detect the workpiece to be evaluated and obtain the acoustic characteristic information fed back by the workpiece to be evaluated. Based on the acoustic characteristic information fed back by the workpiece to be evaluated, a simulated three-dimensional model of the workpiece to be evaluated is constructed. Pre-fabricated crack sample model diagrams are constructed and a database is built. The pre-fabricated crack sample model diagrams are then imported into the database. Feature extraction is performed on the simulated 3D model to obtain crack model diagrams of the cracks present in the simulated 3D model; the crack model diagrams of the cracks present in the simulated 3D model are imported into the database, and the correlation analysis between the crack model diagrams and the crack sample model diagrams is performed using the grey relational analysis method to obtain the correlation degree between each crack model diagram and the crack sample model diagram. Cracks with a correlation degree greater than a preset correlation degree are removed from the simulated 3D model image, while cracks with a correlation degree less than or equal to the preset correlation degree are retained in the simulated 3D model image, resulting in a filtered 3D model image.

4. The online evaluation method for vehicle-mounted radiation protection barriers for physical examinations according to claim 1, characterized in that, Crack characteristic information is obtained from the filtered 3D model image. Based on the crack characteristic information, the workpiece to be evaluated is evaluated to obtain a first evaluation result or a second evaluation result, specifically: Obtain crack characteristic information from the filtered 3D model image, and obtain the first ratio of cracks in the filtered 3D model image based on the crack characteristic information; Compare the first ratio with the preset ratio; If the first ratio is greater than the preset ratio, the process finished product drawing information of the workpiece to be evaluated is obtained based on the process parameter information, and a process finished product model drawing is constructed based on the process finished product drawing information. The design references of the filtered 3D model and the finished product model are obtained, a virtual fusion space is constructed, and the filtered 3D model and the finished product model are imported into the virtual fusion space, so that the design references of the filtered 3D model and the finished product model coincide in the virtual fusion space. The overlapping parts of the selected 3D model and the finished product model are retained, and the non-overlapping parts of the selected 3D model and the finished product model are removed to obtain the fused 3D model. Crack characteristic information is obtained from the fused stereoscopic model image, and a second ratio of cracks in the fused stereoscopic model image is obtained based on the crack characteristic information. And compare the second ratio with the preset ratio; If the second ratio is not greater than the preset ratio, then a first evaluation result is generated and output. If the second ratio is greater than the preset ratio, a second evaluation result is generated and output.

5. The online evaluation method for vehicle-mounted radiation protection barriers for physical examinations according to claim 4, characterized in that, It also includes the following steps: If the first ratio is not greater than the preset ratio, a spatial three-dimensional coordinate system is constructed, and the simulated three-dimensional model is imported into the spatial three-dimensional coordinate system. The absolute highest point and absolute lowest point of each plane in the simulated three-dimensional model are retrieved in the spatial three-dimensional coordinate system. Obtain the measurement reference of the simulated 3D model diagram, calculate the distance between the absolute highest point of each plane in the simulated 3D model diagram and the measurement reference, and obtain the first distance value; Calculate the distance between the absolute lowest point of each plane in the simulated 3D model and the measurement reference to obtain the second distance value; Calculate the difference between the first distance value and the second distance value of each plane in the simulated 3D model diagram to obtain the distance difference value, and obtain the flatness of each plane in the simulated 3D model diagram based on the distance difference value; and compare the flatness of each plane in the simulated 3D model diagram with a preset flatness value. If the flatness of any of the planes is not greater than the preset flatness, a second evaluation result is generated and the second evaluation result is output; if there is at least one plane whose flatness is greater than the preset flatness, the plane corresponding to the flatness greater than the preset flatness is marked as an abnormal plane, and the abnormal plane is further evaluated.

6. The online evaluation method for vehicle-mounted radiation protection barriers for physical examinations according to claim 5, characterized in that, The abnormal plane is further evaluated, specifically as follows: Obtain the flatness corresponding to the abnormal plane, construct key search terms based on the flatness corresponding to the abnormal plane, and search the database in the big data network according to the key search terms to obtain the historical repair scheme dataset; Obtain the repair success rate corresponding to each historical repair scheme in the historical repair scheme dataset, and remove historical repair schemes with a repair success rate less than a preset repair success rate from the historical repair scheme dataset to obtain a historical repair scheme dataset after one filtering. Obtain the repair cost corresponding to each historical repair scheme in the historical repair scheme dataset after the first screening, and remove historical repair schemes with repair costs greater than the preset cost from the historical repair scheme dataset after the first screening to obtain the historical repair scheme dataset after the second screening. Obtain the repair success rate corresponding to the remaining historical repair schemes in the historical repair scheme dataset after the second filtering, construct a sorting table, and import the repair success rates corresponding to the remaining historical repair schemes into the sorting table for sorting by size, so as to extract the historical repair scheme with the highest repair success rate from the remaining historical repair schemes, generate a third evaluation result based on the historical repair scheme with the highest repair success rate, and output the third evaluation result.

7. An online assessment system for vehicle-mounted radiation protection barriers used in physical examinations, characterized in that, The online evaluation system includes a storage device and a processor. The storage device stores a program for an online evaluation method of a vehicle-mounted radiation protection barrier. When the processor executes the program for the online evaluation method of a vehicle-mounted radiation protection barrier, it performs the following steps: Obtain the process parameter information of the workpiece to be evaluated, and obtain the specification parameters of the workpiece to be evaluated based on the process parameter information; determine the preset radiation attenuation rate threshold of the workpiece to be evaluated based on the specification parameters, obtain the actual radiation attenuation rate value of the workpiece to be evaluated, and if the actual radiation attenuation rate value is greater than the preset radiation attenuation rate threshold, generate the first evaluation result. If the actual radiation attenuation rate value is not greater than the preset radiation attenuation rate threshold, then a simulated three-dimensional model of the workpiece to be evaluated is constructed, and a crack sample model is prefabricated. Based on the simulated three-dimensional model and the crack sample model, a filtered three-dimensional model is obtained. Crack characteristic information is obtained from the filtered 3D model image. Based on the crack characteristic information, the workpiece to be evaluated is evaluated to obtain a first evaluation result or a second evaluation result.

8. The online evaluation system for vehicle-mounted radiation protection barriers for physical examinations according to claim 7, characterized in that, Based on the specified parameters, a preset radiation attenuation rate threshold is determined for the workpiece to be evaluated. The actual radiation attenuation rate value of the workpiece to be evaluated is obtained. If the actual radiation attenuation rate value is greater than the preset radiation attenuation rate threshold, a first evaluation result is generated, specifically as follows: Pre-fabricated specimens are prepared, and the standard radiation attenuation rate of the specimens is obtained using an X-ray optical machine. A knowledge graph is constructed, and the standard radiation attenuation rate of the specimens is imported into the knowledge graph. The specification parameters of the workpiece to be evaluated are obtained and imported into the knowledge graph. The specification parameters of the workpiece to be evaluated are then compared with the specification parameters of each specimen workpiece in the knowledge graph to obtain multiple similarities. Construct a sorting table and import the multiple similarities into the sorting table to sort by size to obtain the maximum similarity. Obtain the standard radiation attenuation rate of the specimen workpiece corresponding to the maximum similarity and mark the standard radiation attenuation rate of the specimen workpiece corresponding to the maximum similarity as the preset radiation attenuation rate threshold of the workpiece to be evaluated. The actual radiation attenuation rate of the workpiece to be evaluated is obtained by inspecting it with an X-ray machine. If the actual radiation attenuation rate value is greater than the preset radiation attenuation rate threshold, a first evaluation result is generated and output.

9. The online evaluation system for vehicle-mounted radiation protection barriers for physical examinations according to claim 7, characterized in that, Crack characteristic information is obtained from the filtered 3D model image. Based on the crack characteristic information, the workpiece to be evaluated is evaluated to obtain a first evaluation result or a second evaluation result, specifically: Obtain crack characteristic information from the filtered 3D model image, and obtain the first ratio of cracks in the filtered 3D model image based on the crack characteristic information; Compare the first ratio with the preset ratio; If the first ratio is greater than the preset ratio, the process finished product drawing information of the workpiece to be evaluated is obtained based on the process parameter information, and a process finished product model drawing is constructed based on the process finished product drawing information. The design references of the filtered 3D model and the finished product model are obtained, a virtual fusion space is constructed, and the filtered 3D model and the finished product model are imported into the virtual fusion space, so that the design references of the filtered 3D model and the finished product model coincide in the virtual fusion space. The overlapping parts of the selected 3D model and the finished product model are retained, and the non-overlapping parts of the selected 3D model and the finished product model are removed to obtain the fused 3D model. Crack characteristic information is obtained from the fused stereoscopic model image, and a second ratio of cracks in the fused stereoscopic model image is obtained based on the crack characteristic information. And compare the second ratio with the preset ratio; If the second ratio is not greater than the preset ratio, then a first evaluation result is generated and output. If the second ratio is greater than the preset ratio, a second evaluation result is generated and output.

10. The online evaluation system for vehicle-mounted radiation protection barriers for physical examinations according to claim 9, characterized in that, It also includes the following steps: If the first ratio is not greater than the preset ratio, a spatial three-dimensional coordinate system is constructed, and the simulated three-dimensional model is imported into the spatial three-dimensional coordinate system. The absolute highest point and absolute lowest point of each plane in the simulated three-dimensional model are retrieved in the spatial three-dimensional coordinate system. Obtain the measurement reference of the simulated 3D model diagram, calculate the distance between the absolute highest point of each plane in the simulated 3D model diagram and the measurement reference, and obtain the first distance value; Calculate the distance between the absolute lowest point of each plane in the simulated 3D model and the measurement reference to obtain the second distance value; Calculate the difference between the first distance value and the second distance value of each plane in the simulated 3D model diagram to obtain the distance difference value, and obtain the flatness of each plane in the simulated 3D model diagram based on the distance difference value; and compare the flatness of each plane in the simulated 3D model diagram with a preset flatness value. If the flatness is not greater than the preset flatness, then a second evaluation result is generated and output. If at least one plane has a flatness greater than a preset flatness, the plane corresponding to the flatness greater than the preset flatness is marked as an abnormal plane, and the abnormal plane is further evaluated.

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