Cross-border new business model three intelligent security inspection method and device

Abstract

The application relates to a cross-border new industry three-intelligence security inspection method and device, wherein the method comprises the following steps: performing safety detection on a plurality of target cross-border e-commerce order packages based on a three-intelligence inspection machine; packaging and sorting the plurality of target cross-border e-commerce order packages, and performing container loading and sealing on the plurality of target cross-border e-commerce order packages after sorting according to a container loading list to obtain a total list single; and sending the safety detection result and the total list single to a three-intelligence supply chain safety management platform, so that the customs simplifies the inspection of the plurality of target cross-border e-commerce order packages according to the three-intelligence supply chain safety management platform and a logistics supervision model, and the inspected cross-border e-commerce order packages are distributed to overseas consumers by an international logistics enterprise. Therefore, the problems that the existing cross-border container inspection method is difficult to comprehensively and accurately perform safety inspection on a container loading container, cannot effectively identify the safety risk of fragmented container loading goods, and cannot realize controllable sharing of global supply chain whole-chain information are solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of cross-border new industry container security inspection, and particularly relates to a cross-border new industry three-intelligent security inspection method and device. BACKGROUND

[0002] After the international financial crisis, the traditional trade "container" type large transaction was impacted, and the cross-border e-commerce represented by cross-border small transactions ushered in a new opportunity for development. The overseas buyer procurement behavior has changed, and the high-frequency short and small orders of foreign small wholesalers have replaced the original long and large orders of large wholesalers. The emergence of a large number of overseas individual buyers is promoting the transformation of "China manufacturing" transaction mode, bringing opportunities for the rapid development of e-commerce platforms centered on online transactions. A batch of companies specializing in e-commerce have gone out of the country to expand international markets and become world-leading cross-border trade enterprises.

[0003] The security supervision of the massive and dispersed small packages of cross-border e-commerce has become a major challenge for customs around the world. The customs of destination countries such as North America and the European Union are faced with a large number of cross-border package imports, and require cross-border packages to be imported by "container" mode, and a main body to bear the safety and customs declaration responsibilities of the container.

[0004] Due to the transportation of cross-border small packages into containers, the goods are different in thousands of ways, complex in form, densely stacked, and there are many types of prohibited and restricted species and hiding methods. The existing large container inspection equipment (referred to as H986) of the customs, combined with intelligent image review, cannot automatically identify complex cargo containers and has a high false alarm rate. In addition, due to the lack of effective security inspection means, customs around the world are cautious about the supervision of cross-border e-commerce goods, requiring e-commerce platforms to bear more security responsibilities, submit more data, and perform more inspection procedures by the customs, which not only affects the customs efficiency, but also affects the development of cross-border e-commerce export business, and cannot meet the needs of the rapid development of cross-border new industry.

[0005] Specifically, first, the customs inspection is determined according to the control instructions of the risk control system. If the rules of the risk control system are not hit, the batch of goods will enter the list of ready-to-release, ready to release; although random checks are possible, the proportion is small, and a large proportion of direct release exists missed detection, and cannot deter illegal enterprises.

[0006] Secondly, the traditional "H986 machine inspection equipment + intelligent image review" of the customs has technical deficiencies in checking the container of LCL, and cannot achieve accurate identification. A large number of small packages of overseas orders are sent to overseas consignees after being packed into containers, for example, a logistics area in Guangdong Province has more than 170,000 export containers per year, containing more than 130 million cross-border packages. The traditional "H986 machine inspection equipment + intelligent image review" of the customs cannot accurately identify such containers.

[0007] Afterwards, cross-border e-commerce export is hindered by safety problems. The customs of the importing country has strict regulations on the safety and customs declaration of such containers. Due to the lack of complete, timely and accurate safety information, no one dares to assume the safety responsibility of such containers and the customs declaration responsibility of the single consignee, causing cross-border e-commerce export to be hindered by safety problems.

[0008] In summary, the existing inspection method of cross-border containers is difficult to conduct comprehensive and accurate safety inspection on the LCL containers, cannot effectively identify the fragmentation LCL cargo safety risks, and is difficult to realize the controllable sharing of global supply chain information throughout the chain, which needs to be solved urgently. SUMMARY

[0009] The present application provides a new cross-border industry three-intelligent inspection method and device to solve the problems that the existing inspection method of cross-border containers is difficult to conduct comprehensive and accurate safety inspection on the LCL containers, cannot effectively identify the fragmentation LCL cargo safety risks, and is difficult to realize the controllable sharing of global supply chain information throughout the chain.

[0010] The first aspect embodiment of the present application provides a new cross-border industry three-intelligent inspection method, comprising the following steps: based on a preset three-intelligent inspection machine, performing safety detection on a plurality of target cross-border e-commerce order packages to obtain a safety detection result; determining a container loading list of the plurality of target cross-border e-commerce order packages, and performing packaging and sorting processing on the plurality of target cross-border e-commerce order packages, and performing LCL and sealing on the packaged and sorted plurality of target cross-border e-commerce order packages according to the container loading list to obtain a list total single of the LCL and sealed plurality of target cross-border e-commerce order packages; sending the safety detection result and the list total single to a preset three-intelligent supply chain safety management platform, so that the customs performs inspection on the plurality of target cross-border e-commerce order packages according to the three-intelligent supply chain safety management platform, a preset logistics supervision model and a preset customs inspection simplification requirement, and delivers the inspected plurality of target cross-border e-commerce order packages to target overseas consumers through a preset international logistics enterprise.

[0011] Optionally, in one embodiment of the present application, the three-intelligent inspection machine is used for security detection of the plurality of target cross-border e-commerce order packages to obtain a security detection result, comprising: constructing the three-intelligent inspection machine by using a preset multi-characteristic CT device based on a grating, an X-ray diffraction device, a millimeter wave radar device, and a nuclear radiation detection device; performing detection and shunting processing on the plurality of target cross-border e-commerce order packages according to a preset prior knowledge base and a preset detection rule to obtain detection and shunting data; determining a data acquisition area of the three-intelligent inspection machine, and determining a target detection device of the three-intelligent inspection machine while the plurality of target cross-border e-commerce order packages pass through the data acquisition area, and adjusting a detection parameter of the target detection device; performing data acquisition on the plurality of target cross-border e-commerce order packages by using the three-intelligent inspection machine based on the target detection device and the detection parameter to obtain a data acquisition result; and performing fusion decision on the data acquisition result according to a pre-trained fusion decision model to generate a security detection result corresponding to each target cross-border e-commerce order package in the plurality of target cross-border e-commerce order packages.

[0012] Optionally, in one embodiment of the present application, before the fusion decision on the data acquisition result according to the pre-trained fusion decision model, further comprising: constructing an initial training data set based on preset optional customs risk control data, the preset prior knowledge base, the preset detection rule, and the data acquisition result; performing data preprocessing and feature processing on the initial training data set to generate a standard training data set; obtaining at least one industry type corresponding to the plurality of target cross-border e-commerce order packages, and determining a scoring sub-model corresponding to each industry type in the at least one industry type; combining the scoring sub-model corresponding to each industry type according to a preset ensemble learning strategy to construct a fusion decision model; training and optimizing the fusion decision model based on the standard training data set and a performance evaluation index to obtain the pre-trained fusion decision model.

[0013] Optionally, in one embodiment of the present application, the container fitting list of the plurality of target cross-border e-commerce order packages is determined, and the plurality of target cross-border e-commerce order packages are packaged and sorted, and the packaged and sorted plurality of target cross-border e-commerce order packages are containerized and sealed according to the container fitting list to obtain a list total invoice of the containerized and sealed plurality of target cross-border e-commerce order packages, comprising: determining the container fitting list based on a destination of each target cross-border e-commerce order package and a container size of a transportation vehicle; packaging and coding each target cross-border e-commerce order package, and sorting the packaged and coded each target cross-border e-commerce order package, and containerizing and sealing the sorted plurality of target cross-border e-commerce order packages by the container fitting list to generate the list total invoice.

[0014] Optionally, in an embodiment of the present application, the sending of the safety detection result and the manifest total invoice to the preset three-intelligence supply chain security management platform enables the customs to inspect the plurality of target cross-border e-commerce order packages according to the three-intelligence supply chain security management platform, a preset logistics supervision model and a preset customs inspection simplification requirement, and to deliver the inspected plurality of target cross-border e-commerce order packages to target overseas consumers through a preset international logistics enterprise, comprising: based on a preset digital twin strategy, storing the safety detection result and the manifest total invoice, and simultaneously uploading the safety detection result and the manifest total invoice to the three-intelligence supply chain security management platform; constructing the preset logistics supervision model according to a preset Internet of Things application strategy and a supply chain event management strategy; based on the preset customs inspection simplification requirement, classifying the to-be-inspected packages and the exempted inspection packages in the plurality of target cross-border e-commerce order packages; according to the three-intelligence supply chain security management platform and the preset logistics supervision model, inspecting the to-be-inspected packages, and delivering the exempted inspection packages and the inspected to-be-inspected packages to the target overseas consumers.

[0015] The second aspect embodiment of the present application provides a three-intelligence security inspection device for cross-border new industry, comprising: a detection module configured to perform safety detection on a plurality of target cross-border e-commerce order packages based on a preset three-intelligence inspection machine to obtain a safety detection result; a consolidation module configured to determine a container loading manifest of the plurality of target cross-border e-commerce order packages, and to perform packaging and sorting processing on the plurality of target cross-border e-commerce order packages, and to perform consolidation and sealing on the packaged and sorted plurality of target cross-border e-commerce order packages according to the container loading manifest to obtain a manifest total invoice of the consolidated and sealed plurality of target cross-border e-commerce order packages; and an inspection module configured to send the safety detection result and the manifest total invoice to a preset three-intelligence supply chain security management platform, so that the customs inspects the plurality of target cross-border e-commerce order packages according to the three-intelligence supply chain security management platform, a preset logistics supervision model and a preset customs inspection simplification requirement, and delivers the inspected plurality of target cross-border e-commerce order packages to target overseas consumers through a preset international logistics enterprise.

[0016] Optionally, in an embodiment of the present application, the detection module comprises: a construction unit configured to construct the three-intelligent inspection machine by using a preset grating-based multi-characteristic CT device, an X-ray diffraction device, a millimeter wave radar device, and a nuclear radiation detection device; a shunting unit configured to perform detection shunting processing on the plurality of target cross-border e-commerce order packages according to a preset prior knowledge base and a preset detection rule to obtain detection shunting data; an adjustment unit configured to determine a data acquisition area of the three-intelligent inspection machine, and determine a target detection device of the three-intelligent inspection machine when the plurality of target cross-border e-commerce order packages pass through the data acquisition area, and simultaneously adjust a detection parameter of the target detection device; an acquisition unit configured to perform data acquisition on the plurality of target cross-border e-commerce order packages by using the three-intelligent inspection machine based on the target detection device and the detection parameter to obtain a data acquisition result; and a judgment unit configured to perform fusion judgment on the data acquisition result according to a pre-trained fusion judgment model to generate a safety detection result corresponding to each target cross-border e-commerce order package in the plurality of target cross-border e-commerce order packages.

[0017] Optionally, in an embodiment of the present application, the method further comprises: a data set construction module configured to, before performing fusion judgment on the data acquisition result according to the pre-trained fusion judgment model, construct an initial training data set based on preset optional customs risk control data, the preset prior knowledge base, the preset detection rule, and the data acquisition result; a processing module configured to perform data preprocessing and feature processing on the initial training data set to generate a standard training data set; an acquisition module configured to acquire at least one industry type corresponding to the plurality of target cross-border e-commerce order packages, and determine a scoring sub-model corresponding to each industry type in the at least one industry type; a modeling module configured to combine the scoring sub-model corresponding to each industry type according to a preset ensemble learning strategy to construct a fusion judgment model; and a training module configured to train and optimize the fusion judgment model based on the standard training data set and a performance evaluation index to obtain the pre-trained fusion judgment model.

[0018] Optionally, in an embodiment of the present application, the consolidation module comprises: a determination unit configured to determine the container loading list based on a destination of each target cross-border e-commerce order package and a container size of a transportation vehicle; an encapsulation unit configured to encapsulate and code each target cross-border e-commerce order package, sort the encapsulated and coded target cross-border e-commerce order packages, and consolidate and seal the sorted target cross-border e-commerce order packages by using the container loading list to generate the list total sorting single.

[0019] Optionally, in an embodiment of the present application, the inspection module comprises: an uploading unit configured to store the security detection result and the manifest total score based on a preset digital twin strategy, and upload the security detection result and the manifest total score to the three-intelligent supply chain security management platform; a model constructing unit configured to construct the preset logistics supervision model according to a preset Internet of Things application strategy and a supply chain event management strategy; an analyzing unit configured to classify the to-be-inspected packages and the exempted inspection packages in the plurality of target cross-border e-commerce order packages based on the preset customs inspection simplification requirement; and a distribution unit configured to inspect the to-be-inspected packages according to the three-intelligent supply chain security management platform and the preset logistics supervision model, and distribute the exempted inspection packages and the to-be-inspected packages after inspection to the target overseas consumer.

[0020] The third aspect of the embodiments of the present application provides an electronic device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor executes the program to implement the cross-border new industry three-intelligent security inspection method as described in the above embodiments.

[0021] The fourth aspect of the embodiments of the present application provides a computer readable storage medium, which stores a computer program, and the program is executed by a processor to implement the cross-border new industry three-intelligent security inspection method as described above.

[0022] The fifth aspect of the embodiments of the present application provides a computer program product, comprising a computer program, and the computer program is executed to implement the cross-border new industry three-intelligent security inspection method as described above.

[0023] Therefore, the embodiments of the present application have the following beneficial effects:

[0024] Embodiments of the present application can perform safety detection on a plurality of target cross-border e-commerce order packages based on a preset three-intelligence inspection machine to obtain a safety detection result; determine a container loading list of the plurality of target cross-border e-commerce order packages, and perform packaging and sorting processing on the plurality of target cross-border e-commerce order packages, and perform container loading and sealing on the plurality of target cross-border e-commerce order packages after packaging and sorting according to the container loading list to obtain a list total single of the plurality of target cross-border e-commerce order packages after container loading and sealing; send the safety detection result and the list total single to a preset three-intelligence supply chain safety management platform, so that the customs inspects the plurality of target cross-border e-commerce order packages according to the three-intelligence supply chain safety management platform, a preset logistics supervision model and a preset customs inspection simplification requirement, and delivers the plurality of target cross-border e-commerce order packages after inspection to target overseas consumers through a preset international logistics enterprise. The present application can implement comprehensive safety detection in an embedded, natural and shared manner for complex goods, complex consignees, complex sources, complex forms and dense stacking in containers, and can digitize and intelligently upgrade the international supply chain security paradigm and technical equipment, further strengthen trade security, speed up customs business processing and support the development of cross-border new business models. Thus, the existing inspection method of cross-border containers cannot comprehensively and accurately inspect the safety of containerized containers, cannot effectively identify the safety risks of fragmented containerized goods, and cannot realize controllable and shared information of global supply chains.

[0025] Additional aspects and advantages of the application will be set forth in part in the description that follows, and in part will become apparent to those skilled in the art upon examination of the following and / or can be learned by practice of the application. BRIEF DESCRIPTION OF DRAWINGS

[0026] The above and / or additional aspects and advantages of the present application will become apparent and be readily appreciated from the following description, taken in conjunction with the accompanying drawings, in which:

[0027] Figure 1 A flowchart of a cross-border new business three-intelligence security inspection method according to an embodiment of the present application;

[0028] Figure 2 A cross-border trade export schematic diagram according to an embodiment of the present application;

[0029] Figure 3 A grating-based multi-property CT system schematic diagram according to an embodiment of the present application;

[0030] Figure 4 (a) A crystal Bragg diffraction principle schematic diagram according to an embodiment of the present application;

[0031] Figure 4(b) a schematic diagram of a Bragg diffraction spectrum of a NaCl crystal provided for an embodiment of the present application;

[0032] Figure 5 a schematic diagram of a logical architecture of a cross-border new industry three-intelligent security inspection method provided for an embodiment of the present application;

[0033] Figure 6 a schematic diagram of a logistics supervision model of a cross-border trade new industry provided for an embodiment of the present application;

[0034] Figure 7 a schematic diagram of a cross-border new industry three-intelligent security inspection device according to an embodiment of the present application;

[0035] Figure 8 a schematic diagram of the structure of an electronic device provided for an embodiment of the present application.

[0036] Wherein, 10-cross-border new industry three-intelligent security inspection device; 100-detection module, 200-packing module, 300-inspection module; 801-memory, 802-processor, 803-communication interface. DETAILED DESCRIPTION

[0037] The embodiments of the present application are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference signs represent the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the accompanying drawings are exemplary and are intended to explain the present application, and cannot be understood as a limitation of the present application.

[0038] A cross-border new industry three-intelligence security inspection method and device are described below with reference to the accompanying drawings. In view of the problems mentioned in the above background art, the present application provides a cross-border new industry three-intelligence security inspection method. In the method, a plurality of target cross-border e-commerce order packages are subjected to safety detection based on a pre-set three-intelligence inspection machine to obtain a safety detection result. A container fitting list of the plurality of target cross-border e-commerce order packages is determined, and the plurality of target cross-border e-commerce order packages are packaged and sorted. The packaged and sorted plurality of target cross-border e-commerce order packages are containerized and sealed according to the container fitting list to obtain a list total single of the containerized and sealed plurality of target cross-border e-commerce order packages. The safety detection result and the list total single are sent to a pre-set three-intelligence supply chain security management platform. The customs inspects the plurality of target cross-border e-commerce order packages according to the three-intelligence supply chain security management platform, a pre-set logistics supervision model, and pre-set customs inspection simplification requirements. The inspected plurality of target cross-border e-commerce order packages are delivered to target overseas consumers by a pre-set international logistics enterprise. The present application can implement comprehensive safety detection in an embedded, natural, and shared manner for complex goods, complex consignees, complex sources, complex forms, and dense stacking in containers. The international supply chain security paradigm and technical equipment are digitally transformed and intelligently upgraded to further strengthen trade security and speed up customs business processing, thereby supporting the development of cross-border new industries. Thus, the existing cross-border container inspection method cannot comprehensively and accurately inspect the safety of containerized containers, cannot effectively identify the safety risks of fragmented containerized goods, and cannot achieve controllable and shared information of global supply chains.

[0039] To facilitate the understanding of the execution logic of the cross-border new industry three-intelligence security inspection method of the present application by those skilled in the art, the execution target of the present application is described below.

[0040] The present application is guided by the "smart customs, intelligent border, and smart communication" major initiative (referred to as "three-intelligence") and achieves the following goals through technological innovation:

[0041] 1. Intelligent detection:

[0042] The present application uses a package-level non-invasive safety detection device to effectively detect and identify risks such as prohibited, restricted, and controlled goods, commodity inspection, food and agricultural product inspection, animal and plant and product quarantine, and health quarantine. The package-level safety detection information is automatically integrated to form container-level digital safety information.

[0043] 2. Intelligent decision-making:

[0044] By re-analyzing the previous scanning results, the risks of prohibition and restriction, commodity inspection, food and agricultural product inspection, animal and plant and product quarantine, and health quarantine are intelligently classified and identified, and finally different levels of treatment conclusions are formed.

[0045] 3. Intelligent sharing:

[0046] Through the open interface of the platform, each participant can access the required information, realize the sharing of resources and services, and encourage multi-party cooperation in cross-border trade, thus building a more open, inclusive and mutually trusted global trade environment.

[0047] Therefore, the application realizes the replacement of the traditional large container safety inspection method by the intelligent detection, intelligent decision and intelligent sharing of the cross-border new industry parcel-level safety inspection, and effectively checks the safety risks shown in the following table:

[0048] Table 1

[0049] Primary Secondary Tertiary Inspection Restriction and control Gun barrel control device Inspection Restriction and control Medicines, drugs, and precursors of drug Inspection Restriction and control Endangered wildlife and their products Inspection Restriction and control Counterfeit, false, and concealed goods Inspection Commodity inspection Toxic and harmful substances Inspection Food and agricultural product inspection Radioactive substances Quarantine Animal and plant quarantine Alien invasive species Quarantine Sanitary quarantine Quarantinable pests

[0050] Specifically, Figure 1 A flowchart of a cross-border new industry three-intelligent safety inspection method provided by an embodiment of the application.

[0051] As Figure 1 shown, the cross-border new industry three-intelligent safety inspection method includes the following steps:

[0052] In step S101, based on a preset three-intelligent inspection machine, safety detection is performed on a plurality of target cross-border e-commerce order parcels to obtain a safety detection result.

[0053] In an embodiment of the application, an overseas consumer can select a required commodity on a registered e-commerce platform and pay for the commodity and logistics costs; after receiving an order of the overseas consumer, the e-commerce platform generates corresponding electronic order information, and if the order involves commodities of a plurality of e-commerce enterprises, the e-commerce platform arranges an international logistics distribution enterprise to collect the sold commodities of each e-commerce enterprise and deliver the commodities to a temporary storage warehouse of the international logistics distribution enterprise.

[0054] In the new mode, after the e-commerce enterprise transports the commodities in the order to the temporary storage warehouse of the logistics enterprise by domestic logistics, as Figure 2 shown, the embodiment of the application can construct a three-intelligent inspection machine to comprehensively detect small parcels (i.e., target cross-border e-commerce order parcels, which include cross-border e-commerce order parcels of multiple categories and multiple targets) and thus realize omnidirectional intelligent safety scanning of the parcels.

[0055] Optionally, in one embodiment of this application, security inspection is performed on multiple target cross-border e-commerce order packages based on a preset three-intelligence inspection machine to obtain security inspection results. This includes: constructing a three-intelligence inspection machine using preset multi-feature CT equipment based on gratings, X-ray diffraction equipment, millimeter-wave radar equipment, and nuclear radiation detection equipment; performing detection diversion processing on multiple target cross-border e-commerce order packages according to a preset prior knowledge base and preset detection rules to obtain detection diversion data; determining the data acquisition area of ​​the three-intelligence inspection machine, and identifying the target detection device of the three-intelligence inspection machine when multiple target cross-border e-commerce order packages pass through the data acquisition area, while adjusting the detection parameters of the target detection device; using the three-intelligence inspection machine to collect data on multiple target cross-border e-commerce order packages based on the target detection device and detection parameters to obtain data acquisition results; and performing fusion decision on the data acquisition results according to a pre-trained fusion decision model to generate a security inspection result corresponding to each target cross-border e-commerce order package among the multiple target cross-border e-commerce order packages.

[0056] It should be noted that, in order to improve the accuracy of inspection, the embodiments of this application introduce equipment components such as grating-based multi-feature CT, diffraction imaging, millimeter-wave radar, and nuclear radiation detection to construct a three-intelligence inspection machine. The following provides a detailed description and introduction of each equipment component.

[0057] 1. Grating-based multi-feature CT

[0058] Traditional CT scans acquire information about the interior of objects based on the differences in how well materials attenuate X-rays. However, this method has limitations in imaging resolution for materials composed of light elements. Grating imaging technology, on the other hand, introduces three high-precision gratings (G0, G1, and G2) with micrometer-level periods, building upon the geometry of traditional X-ray imaging. Figure 3 As shown, X-ray light waves are modulated by a grating system, generating intensity fringes at a certain distance behind grating G1 that are equivalent to the grating period. The moiré fringe effect is used to amplify these intensity fringes through grating G2, allowing them to be detected by a detector. Through algorithm analysis, in addition to obtaining traditional absorption images that reflect the attenuation characteristics of materials, this embodiment can also simultaneously obtain phase images with higher image contrast and scattering images that reflect the mesoscopic size (100-500μm) of the material's micro-nano structure. This effectively improves the imaging resolution of weakly absorbing X-ray materials and highly scattering materials such as porous and multi-fiber materials, thereby further improving the detection rate and identification accuracy of prohibited items, harmful organisms, and defective imported and exported fruits.

[0059] 2. X-ray diffraction (XRD) technique

[0060] X-ray diffraction is a method of analyzing crystal structure by utilizing the diffraction phenomenon of X-rays in crystals. When X-rays pass through a crystal, due to the periodic arrangement of atoms within the crystal, the X-rays reflected from each crystal plane interfere with each other, forming coherently enhanced diffraction peaks under specific conditions that satisfy Bragg's law. The principle is as follows: Figure 4 As shown in (a); based on the positions of these diffraction peaks, embodiments of this application determine inherent parameters such as the crystal lattice size, thereby obtaining molecular structure information of the substance being detected. Different substances have different crystal structures, and the corresponding X-ray diffraction energy spectra are as follows: Figure 4 As shown in (b), it exhibits high specificity. Therefore, XRD technology can identify substances very accurately, with extremely high detection efficiency for contraband such as drugs, explosives, and liquid hazardous materials.

[0061] In the CT detection process, XRD technology can be combined with CT equipment for accurate inspection of contraband. Since the effective atomic numbers of organic substances such as explosives, drugs, and prohibited drugs are very close to those of everyday items, and these contraband items are often mixed in with luggage, CT technology has difficulty distinguishing them. Through CT technology, the embodiments of this application can quickly and accurately locate the local area to be detected, and use XRD technology to specifically analyze the molecular structure of that area, thereby significantly reducing the false alarm rate of contraband and improving the accuracy of identification.

[0062] 3. Millimeter-wave radar technology

[0063] Millimeter-wave radar technology uses electromagnetic waves with wavelengths on the order of millimeters to detect objects. Millimeter waves have a certain penetrating ability through common non-conductive packaging or boxes. The relative motion between the reflector and the source causes a Doppler frequency shift in the reflected wave. By processing the radar echo signal, multidimensional features of living organisms inside the packaging or box can be obtained. High-gain millimeter-wave radar can penetrate common cardboard boxes, plastic boxes, foam boxes, glass, and other packaging to collect radar echo signals of living organisms. Through techniques such as fast time-dimensional pulse compression, slow time-dimensional Doppler frequency analysis, short-time Fourier transform, and two-dimensional or three-dimensional holographic imaging, multidimensional information of living organisms can be obtained, such as heartbeat, respiration, limb movements, position, and even appearance. By combining radar constant false alarm rate detection and deep neural network technologies, feature extraction of living organism information can be achieved, allowing determination of whether a living target is present inside the package.

[0064] 4. Nuclear radiation detection technology

[0065] The nuclear radiation detection technology adopts high-performance scintillator or semiconductor materials to detect various types of nuclear radiation such as alpha, beta and gamma, and has extremely high sensitivity and accurate energy resolution; the nuclear radiation detection equipment is installed on the logistics transmission line, which can realize real-time monitoring at all times and continuously, effectively prevent illegal transportation and accidental leakage of radioactive substances, and ensure the safety of the logistics process; when the goods on the logistics line pass through the detection area, the detector will quickly capture and analyze the radiation signal, and the built-in intelligent algorithm can automatically exclude the influence of environmental background radiation and common electromagnetic interference and other factors, to ensure accurate judgment of radioactive substances; once radioactive substances are detected, the system will trigger a multi-level alarm mechanism, and at the same time, the alarm information will be pushed to the mobile devices of the relevant responsible persons or the monitoring center in real time through the network, to ensure the rapid transmission and timely response of information.

[0066] As shown in Figure 5 The execution flow of the three-intelligent inspection machine mainly includes detection shunting, data acquisition and fusion decision processes, among which the data acquisition process is the most core part of the three-intelligent inspection machine. The detection flow of the three-intelligent inspection machine is described in detail below.

[0067] 1. Detection shunting

[0068] For small packages in the international logistics temporary storage warehouse, the embodiment of the present application can determine what needs to be focused on and what detection technology needs to be used for inspection through the prior knowledge base and detection rules, so as to realize detection shunting;

[0069] 2. Data acquisition

[0070] In the data acquisition process, the embodiment of the present application can form a serial configuration through multiple detection devices, as shown in Figure 5 A channel is a multi-characteristic CT device based on a grating, B channel is a diffraction device, C channel is a millimeter wave radar device, and D channel is a nuclear radiation detection device, to jointly constitute an intelligent sensing device (i.e. three-intelligent inspection machine). The four serial detection devices are serially installed on the small package conveyor belt to form a one-stop data acquisition area. The small package is automatically pulled through the one-stop data acquisition area of the three-intelligent inspection machine by the traction device in the detection track slot, and the data acquisition area can also introduce new detection devices for directional detection of the small package, and the existing algorithm can also be continuously expanded and enhanced;

[0071] Small packages pass through a one-stop data acquisition area composed of multiple devices for data acquisition, but which device is responsible for the detection task is determined by the intelligent terminal according to the detection discrimination of the previous step, which may be a detection task undertaken by a certain detection device, or a combination of different devices for detection, such as two-by-two combination, or all detection starts simultaneously; the detection shunting and acquisition process is uniformly scheduled by the three intelligence detection platform, and the system background records the whole detection process; for the site of a large international logistics enterprise, if a single data acquisition area cannot meet the throughput requirements of the site logistics packages, the embodiment of the application can set up multiple data acquisition areas for parallel detection.

[0072] At the same time, the three intelligence supply chain safety management platform can adjust the detection parameters of each device according to the conclusion of the previous step decision analysis, respectively, for the diversity of the detected goods, to obtain better detection results; for example, when the detected goods are complete mechanical equipment and other strong absorbing materials, the embodiment of the application can use higher voltage and current for detection to obtain higher penetration; if the detected goods are weak absorption type textile products, lower voltage can be used to obtain better contrast sensitivity;

[0073] 3. Fusion decision

[0074] The pre-trained fusion decision model is used to make fusion decisions on the percentage numerical data acquisition results of the previous scanning results, to effectively detect and identify the risks of prohibited, restricted, commodity inspection, food and agricultural product inspection, animal and plant and product quarantine, health quarantine, etc. Finally, different levels of processing conclusions such as normal passing or abnormal processing (further refined detection) are formed to form intelligent analysis, and the category of prohibited items can be expanded according to actual conditions.

[0075] Therefore, the embodiment of the application integrates different functions such as search, review, and judgment into a set of kits through the intelligent perception, intelligent analysis, and smart communication of the three intelligence inspection machines in the temporary storage warehouse of the logistics enterprise, which changes the traditional cross-border trade security paradigm and replaces the ordinary CT machine inspection equipment sampling mode in cross-border export business. Not only can it economically realize comprehensive inspection and supervision of goods, but also can support the development of new trade formats, increase the recovery rate of prohibited items, and form non-intrusive and non-sensing detection and automatic processing of enterprise customs goods, greatly improving the customs efficiency and substantially reducing the burden on enterprises.

[0076] Optionally, in an embodiment of the present application, before the fusion decision model is trained, the method further comprises: constructing an initial training data set based on the preset optional customs risk control data, the preset prior knowledge base, the preset detection rule and the data collection result; performing data preprocessing and feature processing on the initial training data set to generate a standard training data set; obtaining at least one industry type corresponding to a plurality of target cross-border e-commerce order packages, and determining a scoring sub-model corresponding to each industry type in the at least one industry type; combining the scoring sub-model corresponding to each industry type according to a preset ensemble learning strategy to construct a fusion decision model; training and optimizing the fusion decision model based on the standard training data set and a performance evaluation index to obtain the pre-trained fusion decision model.

[0077] It should be noted that the specific process of training and deploying the fusion decision model in the embodiment of the present application is as follows:

[0078] 1. Data collection and preparation

[0079] The embodiment of the present application can first collect the multi-channel detection results of the raster-based multi-characteristics CT device, the diffraction device, the millimeter wave radar device and the nuclear radiation detection device, the prior knowledge base, the detection rule, the customs risk control data accessed through the customs risk control algorithm interface, to obtain an initial training data set, and perform data preprocessing on the initial training data set to ensure the quality and consistency of the data;

[0080] 2. Feature engineering and data preparation

[0081] The multi-channel detection results, the prior knowledge base, the detection rule, the customs risk control data are processed and encoded to generate a standard training data set;

[0082] 3. Model selection and training

[0083] Model selection: the embodiment of the present application can select a plurality of classification algorithms, such as decision tree, random forest, gradient boosting tree, etc.

[0084] Sub-model training: considering the large difference in scoring of different industries, the embodiment of the present application can obtain at least one industry type corresponding to a plurality of target cross-border e-commerce order packages, and determine and train a scoring sub-model corresponding to each industry type in the at least one industry type; for example, assuming that there are three industries: A, B, C, the embodiment of the present application trains models M A , M B , M C , respectively;

[0085] Ensemble method: using the method of ensemble learning, the results of each sub-model are combined.

[0086] Method one: weighted average method, the prediction results of each sub-model are weighted and averaged according to certain weights;

[0087] Method two: voting method, the prediction results of each sub-model are voted, and the result with the most votes is taken;

[0088] Method three: stacking method, using a meta-model to integrate the prediction results of each sub-model;

[0089] 4. Model evaluation and optimization

[0090] Use accuracy, precision, recall, F1-score and other indicators to evaluate model performance, and optimize the model to ensure the accuracy and robustness of the model.

[0091] 5. Model application and deployment

[0092] Integrate the trained fusion decision model into the system to determine the disposal instructions of the package in real time.

[0093] The structure of the result data set formed by the fusion decision is shown in the following table:

[0094] Table 2

[0095]

[0096]

[0097] Among them, the detection technology includes multi-characteristic CT based on grating, diffraction imaging, millimeter wave radar, nuclear radiation detection, etc.; safety risk classification includes gun explosion tube control device, drugs, toxic chemicals, endangered wildlife and their products, false concealment, toxic and harmful substances, radioactive substances, alien invasive species, quarantine pests, etc.; customs risk control includes risk screening score based on system dynamics, etc.

[0098] Therefore, the embodiments of the present application construct and train the fusion decision model, thereby providing reliable data guidance and basis for the subsequent execution of small package packaging and sorting operations.

[0099] In step S102, the container loading list of the plurality of target cross-border e-commerce order packages is determined, and the plurality of target cross-border e-commerce order packages are packaged and sorted, and the plurality of target cross-border e-commerce order packages after packaging and sorting are containerized and sealed according to the container loading list, to obtain a total manifest of the plurality of target cross-border e-commerce order packages after containerization and sealing.

[0100] In actual execution process, for the small parcel whose fusion decision result is pass, it can be automatically sent to the packaging and code spraying area of the logistics enterprise through the conveying belt, and the automatic packaging and printing of special mark code on the outer package are carried out, and the system is internally transmitted to the logistics enterprise platform to sort it.

[0101] After that, the embodiment of the application can make the logistics enterprise platform generate a container loading list according to the order destination and the container size of the transport vehicle and other actual conditions, and the parcels sorted out by the international logistics distribution enterprise are packed according to the container loading list, and after the packing is completed, the container is sealed, and a list total single reflecting the loading condition of the container is formed according to the actual packing condition of the parcel, and the specific code list of the small parcel is attached, and the customs is sent by the e-commerce service provider.

[0102] Optionally, in an embodiment of the application, the container loading list of the plurality of target cross-border e-commerce order parcels is determined, and the plurality of target cross-border e-commerce order parcels are packaged and sorted, and the plurality of target cross-border e-commerce order parcels after packaging and sorting are packed and sealed according to the container loading list to obtain the list total single of the plurality of target cross-border e-commerce order parcels after packing and sealing, comprising: determining the container loading list based on the destination of each target cross-border e-commerce order parcel and the container size of the transport vehicle; packaging and coding each target cross-border e-commerce order parcel, and sorting each target cross-border e-commerce order parcel after packaging and coding, and packing and sealing the plurality of target cross-border e-commerce order parcels after sorting through the container loading list to generate the list total single.

[0103] In the specific implementation process, after the e-commerce enterprise receives the notification of the e-commerce platform, the embodiment of the application can properly package the goods according to the order details and ensure the quality and safety of the goods. After the packaging is completed, the e-commerce platform arranges the international logistics distribution enterprise to collect the goods and transport them to the temporary storage warehouse.

[0104] Further, after the international logistics distribution enterprise receives the goods from different e-commerce enterprises, the embodiment of the application can temporarily store and wait for the goods according to the detailed order information provided by the e-commerce platform. When all the goods in a cross-border export order arrive at the temporary storage warehouse, the international logistics distribution enterprise integrates and packages these goods into a cross-border e-commerce parcel, and reattaches the face sheet containing complete distribution information.

[0105] After the integration of the cross-border e-commerce parcel is completed, the e-commerce enterprise or its agent declares the cross-border e-commerce export to the customs. In this process, the embodiment of the application needs to send three single data including electronic order, receipt, waybill and order list data to the customs for audit.

[0106] After the customs receives the three single data and the list data submitted by the e-commerce enterprise or its agent, the application embodiment can perform electronic audit on the cross-border e-commerce package, so as to pass the electronic audit of the customs on the package meeting the requirements by verifying the authenticity and consistency of the three single information.

[0107] After the e-commerce service provider sends the three single and list data to the customs for passing the audit, the international logistics distribution enterprise puts the cross-border e-commerce package on the line body sorting line for sorting; the line body sorting line sorts out the corresponding package according to the destination of the order and the size of the transport vehicle container and other actual conditions, and the international logistics distribution enterprise performs the containerization operation, and forms the list total single reflecting the loading condition of the container, which is sent to the customs by the e-commerce service provider; after the containerization is completed, the specified transport vehicle in the list total single is used to transport the container to the customs supervision site.

[0108] Therefore, the application embodiment can implement comprehensive safety detection on complex goods, complex consignees, complex sources, complex forms, and dense stacking in the container in an embedded, natural and shared manner, and quickly, effectively and accurately detect and identify safety risks such as gun and explosive control instruments, endangered wild animals and plants and their products, drugs, toxic and harmful substances, radioactive substances, invasive species, and quarantine pests, so as to realize digital transformation and intelligent upgrading of international supply chain security paradigm and technical equipment, further strengthen trade security, speed up customs business processing, support the development of cross-border new industry, and promote the global economic recovery and growth.

[0109] In step S103, the safety detection result and the list total single are sent to a preset three intelligence supply chain safety management platform, so that the customs performs inspection on a plurality of target cross-border e-commerce order packages according to the three intelligence supply chain safety management platform, a preset logistics supervision model and a preset customs inspection simplification requirement, and the international logistics enterprise delivers the inspected plurality of target cross-border e-commerce order packages to the target overseas consumer.

[0110] Further, the safety detection result and the list total single and other data can be aggregated on the three intelligence supply chain safety management platform (i.e. the three intelligence new platform) by the e-commerce service provider and sent to the customs, the vehicle of the international logistics distribution enterprise enters the supervision site, if part of the small package needs to be inspected, the inspection operation is performed in the site, the small package and the containerized container detected by the three intelligence inspection machine can adopt the inspection-free channel in the "whether to be inspected" part of the customs, and after the inspection is completed or no inspection is needed, the vehicle leaves the supervision site and leaves the Chinese customs after the customs release procedure is completed, and the logistics enterprise transports and delivers the package to the overseas consumer.

[0111] Optionally, in an embodiment of the present application, the safety detection result and the list total invoice are sent to a preset Sanzhi supply chain security management platform, so that the customs inspects the plurality of target cross-border e-commerce order packages according to the Sanzhi supply chain security management platform, a preset logistics supervision model and a preset customs inspection simplification requirement, and delivers the inspected plurality of target cross-border e-commerce order packages to the target overseas consumer through a preset international logistics enterprise, comprising: based on a preset digital twin strategy, storing the safety detection result and the list total invoice, and uploading the safety detection result and the list total invoice to the Sanzhi supply chain security management platform; constructing a preset logistics supervision model according to a preset Internet of Things application strategy and a supply chain event management strategy; based on a preset customs inspection simplification requirement, classifying the to-be-inspected packages and the exempted inspection packages in the plurality of target cross-border e-commerce order packages; according to the Sanzhi supply chain security management platform and the preset logistics supervision model, inspecting the to-be-inspected packages, and delivering the exempted inspection packages and the inspected to-be-inspected packages to the target overseas consumer.

[0112] It should be noted that, for subsequent possible manual review, the embodiments of the present application can introduce digital twin technology to persistently save the collected safety detection result and list total invoice and other information, and upload the Sanzhi supply chain security management platform using a computer network, and provide it to other relevant parties.

[0113] In actual execution process, whether it is prior experience of decision diversion, big data algorithm, or small package over-inspection data of temporary storage warehouse of logistics enterprise, total shipping invoice formed after consolidation, etc., they are all converged to the Sanzhi supply chain security management platform.

[0114] In an embodiment of the present application, the logistics supervision model adopted by the Sanzhi supply chain security management platform is based on the management concept of "industrialization, specialization and high-endization" of logistics, and around the enterprise supply chain information management, relying on the Internet of Things technology to build a door-to-door supply chain security trade solution with embedded supervision.

[0115] Among them, as shown in Figure 6 The core of the logistics supervision model mainly includes the following two aspects:

[0116] 1. Comprehensive application of Internet of Things technology

[0117] In an embodiment of the present application, since the goods are put on the shelf, the Internet of Things technology represented by RFID is comprehensively used for information management, and a complete information registration process is formed from the production link to the warehouse. The transportation tools used in the logistics process (including trailers, ships, airplanes, pallets, equipment, containers, and operating equipment) are also equipped with Internet of Things sensing equipment and use Internet of Things technology.

[0118] 2. Comprehensive management of supply chain events

[0119] The supply chain includes the establishment of supplier collaboration management, supply network plan management (including warehouse management, production plan and detailed scheduling management), transportation management, customer collaboration management, demand plan management, payability management, supply chain performance management, and the like for suppliers, logistics enterprises, payment enterprises, customers, regulatory parties (customs), and the like. The processing unit that comprehensively manages the above-mentioned parts and external various information is a supply chain event management, which is used to monitor the supply chain process, provide visual management of the process and alarm events. Through the supply chain event management, each party on the supply chain can map, control, and check all business processes of the supply chain, view the occurrence process of the event from different perspectives, and realize hierarchical and prioritized processing of the event, visual warning of the event, and predictable disposal of the event, thereby improving the safety and efficiency of the entire supply chain logistics process. In the supply chain event management, the logistics event is also mainly applied to the transportation management.

[0120] In the above-mentioned logistics supervision management model, when the e-commerce enterprise or platform sells goods, each good is assigned a traceable goods code. In the links of goods storage, sales, transportation and delivery, the Internet of Things technology is used to ensure that the source and assembly information of the goods is clear and traceable, and the real goods and single goods are matched. Such information will be transmitted to the Sanzhi supply chain safety management platform, which also includes logistics information, recorded by blockchain technology, to achieve trust and tamper resistance, and shared with all participants within the scope of authority, embodying the Sanzhi concept and achieving the goal of mutual trust, cooperation and co-governance.

[0121] The e-commerce enterprise (platform) establishes an information management platform including goods management, document management, customer management, financial management, and the like, manages the sales goods, sales orders, lists, payment documents, and the like, and establishes transportation demand according to customer order information, reports to the customs, and finds logistics enterprises. All these related events are recorded in the Sanzhi supply chain safety management platform.

[0122] The logistics enterprise establishes master data management for three kinds of transportation resources: transportation network (including: trailer, ship, airplane, pallet, equipment, container, operating equipment, route, voyage, trade channel, etc.); when accepting or establishing transportation demand, the transportation order is established according to the analysis of the above-mentioned transportation resource situation, and the transportation contract is formed; in the warehouse management link, the order package is integrated and packed as a unit, checked by the "Sanzhi" inspection machine, sorted and flowed, and identified by code spraying, according to the fusion decision result, considering the transportation demand and transportation resource situation, the transportation plan is established, and the transportation work is carried out.

[0123] In the embodiments of the present application, the transportation work is performed in several stages, and each stage triggers a transportation event (such as packing, stowage, transshipment, unloading, boxing, sorting, and delivery); through the Internet of Things technology applied to the transported goods and the transportation tool, the in-transit transportation event can be collected by the Sanzhi supply chain safety management platform, converted into a logistics event, and provided for in-transit supervision by the customs; all logistics events will trigger corresponding notifications according to rules and be recorded, and the logistics events involve goods safety, transportation actual loading path and node information, transportation tool state, and carrier information, forming a complete logistics information environment.

[0124] In the delivery process, through analysis of logistics information throughout the entire logistics process, it can be known whether the transportation process is safe and reliable, whether the attached single certificate information is consistent with the goods, and whether it is necessary to open the box for inspection, thereby forming a safe, visual, predictable, and information-based door-to-door supply chain event management.

[0125] The customs obtains the supply chain events of various parties through the Sanzhi supply chain safety management platform, combines the actual goods inspection of the Sanzhi inspection machine, realizes risk management and goods supervision, decides whether to open the box for inspection, and through extraction and analysis of the supply chain events and logistics events provided by multiple parties, in combination with logistics-related single certificates, the customs can master the logistics information of the goods throughout the entire process from sales, transportation to delivery, and perform efficient and smooth supervision.

[0126] In the entire process, the customs supervision is smoothly embedded in the enterprise logistics chain, and convenient and accessible service and smooth management coordination are realized; the platform integrates data of various parties, promotes data interconnection of various parties, creates an integrated supervision platform adapted to enterprise logistics, meets multiple types of scenarios such as information interaction between the customs and enterprises, supervision management, early warning disposal, and in-transit supervision; the information of all participating parties is on the chain and authorized for review, the platform realizes whole-process integrated prevention and control, uses new technologies and big data algorithms to enrich the risk identification dimension, strengthens the comprehensive analysis and judgment of relevant information such as enterprise credit and logistics chain, implements risk monitoring based on the logistics chain as a unit, and promotes the formation of a new mode of penetrating risk management based on the logistics chain as a unit; in addition, the embodiments of the present application realize traceability of the source and traceability of the destination through automatic data collection, intelligent verification of key fields, early warning of abnormal information, and dynamic tracking of logistics nodes; the Sanzhi supply chain safety management platform promotes data interconnection of various parties based on logistics path, supervision mode, single certificate management, and other factors, creates an integrated event platform adapted to global supply chain, meets the internal business needs of the customs and enterprises, and meets the collaborative needs of the customs and enterprises, realizes efficient and smooth logistics channels, and realizes a new mode of cross-border export trade with fast and non-invasive customs clearance mode.

[0127] In summary, the three wisdom supply chain security management platform in the embodiment of the present application acquires the required small package, safety detection and container logistics data, and through wisdom sharing, applies blockchain, cloud computing and other technologies to realize the safe and orderly sharing and use of data, realizes a new e-commerce ecological environment with the three wisdom security inspection system as the core. The advantages of this new ecological environment mainly lie in the following aspects:

[0128] 1. Intelligent upgrade and trust building

[0129] The three wisdom supply chain security management platform, through deep integration of big data and artificial intelligence, not only realizes high precision and high speed of package-level detection, but also establishes a trust cornerstone for cross-border trade with the help of blockchain technology. The non-tamperability and transparency of blockchain ensure the authenticity and integrity of each transaction record, greatly reducing the risk of fraud and promoting the healthy development of cross-border trade.

[0130] 2. Seamless connection and efficiency improvement

[0131] Using cloud computing technology, it surpasses the limitations of traditional global customs and enterprise networks and builds a multi-dimensional interconnected global customs and enterprise network, which not only includes point-to-point direct connection, but also covers complex interconnection structure between platform and multiple points and between platforms. This innovative network architecture greatly improves the speed and security of data transmission, reduces logistics delays, and reduces operating costs, providing a more stable and efficient infrastructure for global trade.

[0132] 3. Remodeling of the ecological environment

[0133] (1) Consumers can enjoy faster and safer delivery of goods, and at the same time, through the three wisdom supply chain security management platform, they can track the status of the package in real time, enhancing the shopping experience;

[0134] (2) E-commerce service providers use data analysis tools provided by the three wisdom supply chain security management platform to optimize inventory management, reduce return rates, and improve customer satisfaction;

[0135] (3) E-commerce platforms, through deep integration with the three wisdom supply chain security management platform, realize automated security inspection processes, simplify operations, and speed up the circulation of goods;

[0136] (4) Logistics and distribution companies benefit from intelligent logistics scheduling, reducing customs clearance time, improving transportation efficiency, and reducing costs;

[0137] (5) Customs of the exporting country (region), with the help of the three wisdom security inspection system, realizes package-level automated inspection, effectively prevents smuggling and contraband from flowing in, and improves border security management;

[0138] (6) The customs of the importing country (region) can share safety information in real time through the Three Intelligence supply chain safety management platform, coordinate actions, jointly maintain regional safety, and promote the rapid circulation of legal goods.

[0139] 4. Formation of a shared service network

[0140] The new ecology of the Three Intelligence inspection machine is not only a technological innovation, but also a change in service philosophy. Through the open interface of the platform, each participant can access the required information based on permissions, and resources and services can be shared. This model encourages multi-party cooperation in cross-border trade, forms a shared service network of "everyone for me, and I for everyone", and builds a more open, inclusive, and mutually trusted global trade environment.

[0141] According to the cross-border new industry Three Intelligence security inspection method proposed in the embodiment of the application, the safety of a plurality of target cross-border e-commerce order packages is detected based on a preset Three Intelligence inspection machine to obtain a safety detection result; a container loading list of the plurality of target cross-border e-commerce order packages is determined, and the plurality of target cross-border e-commerce order packages are packaged and sorted, and the plurality of target cross-border e-commerce order packages after packaging and sorting are containerized and sealed according to the container loading list to obtain a total list single of the plurality of target cross-border e-commerce order packages after containerization and sealing; the safety detection result and the total list single are sent to a preset Three Intelligence supply chain safety management platform, so that the customs inspects the plurality of target cross-border e-commerce order packages according to the Three Intelligence supply chain safety management platform, a preset logistics supervision model and a preset customs inspection simplification requirement, and the plurality of target cross-border e-commerce order packages after inspection are distributed to target overseas consumers by a preset international logistics enterprise. The application can implement comprehensive safety detection in an embedded, natural and shared manner for complex goods, complex consignees, complex sources, complex forms and dense stacking in containers, and can digitize and upgrade the international supply chain security inspection paradigm and technical equipment, further strengthen trade security, speed up customs business processing and support the development of cross-border new industry.

[0142] Secondly, the cross-border new industry Three Intelligence security inspection device according to the embodiment of the application is described with reference to the accompanying drawings.

[0143] Figure 7 is a block schematic diagram of the cross-border new industry Three Intelligence security inspection device according to the embodiment of the application.

[0144] As shown in Figure 7 , the cross-border new industry Three Intelligence security inspection device 10 includes a detection module 100, a containerization module 200 and an inspection module 300.

[0145] The detection module 100 is configured to perform security detection on the target cross-border e-commerce order packages based on a preset three-intelligent inspection machine to obtain a security detection result.

[0146] The consolidation module 200 is configured to determine a container loading list of the target cross-border e-commerce order packages, and to perform packaging and sorting processing on the target cross-border e-commerce order packages, and to perform consolidation and sealing on the packaged and sorted target cross-border e-commerce order packages according to the container loading list to obtain a list total single of the consolidated and sealed target cross-border e-commerce order packages.

[0147] The inspection module 300 is configured to send the security detection result and the list total single to a preset three-intelligent supply chain security management platform, so that the customs performs inspection on the target cross-border e-commerce order packages according to the three-intelligent supply chain security management platform, a preset logistics supervision model and a preset customs inspection simplification requirement, and delivers the inspected target cross-border e-commerce order packages to the target overseas consumers through a preset international logistics enterprise.

[0148] Optionally, in an embodiment of the present application, the detection module 100 comprises a construction unit, a shunting unit, an adjusting unit, an acquisition unit and a decision unit.

[0149] The construction unit is configured to construct the three-intelligent inspection machine by using a preset raster-based multi-property CT device, an X-ray diffraction device, a millimeter wave radar device and a nuclear radiation detection device.

[0150] The shunting unit is configured to perform detection shunting processing on the target cross-border e-commerce order packages according to a preset prior knowledge base and a preset detection rule to obtain detection shunting data.

[0151] The adjusting unit is configured to determine a data acquisition area of the three-intelligent inspection machine, and to determine a target detection device of the three-intelligent inspection machine while the target cross-border e-commerce order packages pass through the data acquisition area, and to adjust a detection parameter of the target detection device.

[0152] The acquisition unit is configured to perform data acquisition on the target cross-border e-commerce order packages by the three-intelligent inspection machine based on the target detection device and the detection parameter to obtain a data acquisition result.

[0153] The decision unit is configured to perform fusion decision on the data acquisition result according to a pre-trained fusion decision model to generate a security detection result corresponding to each target cross-border e-commerce order package in the target cross-border e-commerce order packages.

[0154] Optionally, in an embodiment of the present application, the cross-border new industry three-intelligent security inspection device 10 of the embodiment of the present application further comprises a data set construction module, a processing module, an acquisition module, a modeling module and a training module.

[0155] The data set construction module is configured to construct an initial training data set based on the preset selectable customs risk control data, the preset prior knowledge base, the preset detection rule, and the data collection result before the data collection result is subjected to fusion decision according to the pre-trained fusion decision model.

[0156] The processing module is configured to perform data preprocessing and feature processing on the initial training data set to generate a standard training data set.

[0157] The acquisition module is configured to acquire at least one industry type corresponding to the plurality of target cross-border e-commerce order packages, and determine a scoring sub-model corresponding to each industry type in the at least one industry type.

[0158] The modeling module is configured to combine the scoring sub-model corresponding to each industry type according to a preset ensemble learning strategy to construct a fusion decision model.

[0159] The training module is configured to train and optimize the fusion decision model based on the standard training data set and a performance evaluation index to obtain a pre-trained fusion decision model.

[0160] Optionally, in an embodiment of the present application, the consolidation module 200 comprises a determination unit and a packaging unit.

[0161] The determination unit is configured to determine a container loading list based on the destination of each target cross-border e-commerce order package and the size of the container of the transport vehicle.

[0162] The packaging unit is configured to package and code each target cross-border e-commerce order package, sort the packaged and coded target cross-border e-commerce order packages, and consolidate and seal the sorted target cross-border e-commerce order packages according to the container loading list to generate a total sorting single.

[0163] Optionally, in an embodiment of the present application, the inspection module 300 comprises an uploading unit, a model construction unit, an analysis unit, and a distribution unit.

[0164] The uploading unit is configured to store the security detection result and the total sorting single based on a preset digital twin strategy, and upload the security detection result and the total sorting single to a three intelligence supply chain security management platform.

[0165] The model construction unit is configured to construct a preset logistics supervision model according to a preset Internet of Things application strategy and a supply chain event management strategy.

[0166] The analysis unit is configured to classify the target cross-border e-commerce order packages into to-be-inspected packages and exempted inspection packages based on a preset customs inspection simplification requirement.

[0167] The distribution unit is used for checking the to-be-checked packages according to the three-intelligence supply chain security management platform and the preset logistics supervision model, and distributing the exempted packages and the checked to-be-checked packages to the target overseas consumers.

[0168] It should be noted that the foregoing explanation and description of the three-intelligence security check method for the cross-border new industry also applies to the three-intelligence security check device for the cross-border new industry, which will not be described here again.

[0169] The three-intelligence security check device for the cross-border new industry provided by the embodiment of the application comprises a detection module, a packing module and a checking module. The detection module is configured to perform safety detection on a plurality of target cross-border e-commerce order packages based on a preset three-intelligence inspection machine to obtain a safety detection result. The packing module is configured to determine a container packing list of the plurality of target cross-border e-commerce order packages, and perform packaging and sorting processing on the plurality of target cross-border e-commerce order packages, and perform packing and sealing on the packaged and sorted plurality of target cross-border e-commerce order packages according to the container packing list to obtain a list total sub-single of the packed and sealed plurality of target cross-border e-commerce order packages. The checking module is configured to send the safety detection result and the list total sub-single to a preset three-intelligence supply chain security management platform, so that a customs performs checking on the plurality of target cross-border e-commerce order packages according to the three-intelligence supply chain security management platform, a preset logistics supervision model and a preset customs checking simplification requirement, and distributes the checked plurality of target cross-border e-commerce order packages to target overseas consumers through a preset international logistics enterprise. The application can implement comprehensive safety detection on complex goods, complex consignors, complex source places, complex forms and dense stacking in containers in an embedded, natural and shared manner, and can perform digital transformation and intelligent upgrading on international supply chain security check paradigm and technical equipment, further strengthen trade security, speed up customs business processing and support the development of cross-border new industry.

[0170] Figure 8 The electronic device provided by the embodiment of the application is shown in a structural schematic diagram. The electronic device can comprise:

[0171] The memory 801, the processor 802 and the computer program stored in the memory 801 and executable on the processor 802.

[0172] The processor 802 implements the three-intelligence security check method for the cross-border new industry provided in the above embodiment when executing the program.

[0173] Further, the electronic device further comprises:

[0174] The communication interface 803 is configured to perform communication between the memory 801 and the processor 802.

[0175] The memory 801 is configured to store the computer program executable on the processor 802.

[0176] The memory 801 can include a high-speed RAM memory, and can also include a non-volatile memory, for example, at least one disk memory.

[0177] If the memory 801, the processor 802 and the communication interface 803 are implemented independently, the communication interface 803, the memory 801 and the processor 802 can be connected to each other through a bus and complete communication between each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For convenience of representation, Figure 8 In the figure, only one thick line is used to represent, but it does not mean that there is only one bus or one type of bus.

[0178] Optionally, in a specific implementation, if the memory 801, the processor 802 and the communication interface 803 are integrated on a chip, the memory 801, the processor 802 and the communication interface 803 can complete communication between each other through an internal interface.

[0179] The processor 802 can be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0180] The embodiments of the present application also provide a computer readable storage medium, having stored thereon a computer program, which is executed by a processor to implement the above cross-border new industry three intelligent security inspection method.

[0181] The embodiments of the present application also provide a computer program product, comprising a computer program, which is executed to implement the above cross-border new industry three intelligent security inspection method.

[0182] In the description of the application, reference to "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" means that a particular feature, structure, material, or characteristic being described is included in at least one embodiment or example of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment or example. Furthermore, the described specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples. In addition, the usage of "N" means at least two, for example, two, three or the like, unless explicitly stated otherwise.

[0183] Furthermore, the terms "first", "second", or the like, are used merely as a designation of certain elements or features, and do not imply or connote relative importance or a specific order of categorization of the indicated features. Accordingly, features described as "first" or "second" can be explicitly or implicitly included in at least one of the features. In the description of the application, the term "N" means at least two, for example, two, three, etc., unless explicitly stated otherwise.

[0184] Any process or method descriptions or blocks in flow charts or otherwise described herein represent embodiments which can be managed as one or more modules, segments, or portions of code which include one or more executable instructions for implementing specific logic functions or steps, and alternate implementations are possible. In some embodiments, the processes and methods described can be executably encoded on a machine- readable medium in a data signal embodied in an electromagnetic signal, a wireless signal, or a propagated signal.

[0185] The logic and / or steps represented in the flowcharts and / or described herein, for example, can be considered as a sequence of executable instructions stored in a computer readable medium, which can be executed by an instruction execution system, apparatus or device, such as a computer-based system, a processor-based system, or other system that can fetch the instructions from the instruction execution system, apparatus or device and execute the instructions, or a combination of them. For the purposes of this specification, a "computer readable medium" can be any apparatus that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus or device. The computer readable medium can be a computer readable storage medium or a computer readable signal medium. The computer readable storage medium can include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a propagation medium. The computer readable signal medium can include, but is not limited to, a computer readable medium that facilitates transfer of the program from one place to another. A specific example of a computer readable medium is a non-transitory computer-readable storage medium. A specific example of a computer readable signal medium is a source or destination of the computer readable medium. Another specific example of a computer readable signal medium is a computer readable signal travelling through space. Thus, a computer readable medium can take many forms of hardware to carry out the program for use by or in connection with the instruction execution system, apparatus or device.

[0186] It should be understood that aspects of the application can be implemented in hardware, software, firmware or a combination thereof. In the above embodiments, the N steps or methods can be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented in hardware and in another embodiment, the hardware can be implemented with any or a combination of the following technologies, which are all well known in the art: a discrete logic circuit(s) having logic gates for implementing logic functions upon an application of data signals, an application specific integrated circuit having appropriate combinational logic gates, a programmable gate array(s) (PGA), a field programmable gate array (FPGA), etc.

[0187] Those of skill in the art would understand that the steps carried out by the above-mentioned embodiments can be implemented by a program instructing the relevant hardware to complete all or part of the steps, and the program can be stored in a computer readable storage medium. When the program is executed, it includes one of the steps of the method embodiments or a combination thereof.

[0188] In addition, each of the functional units in the various embodiments of the present application can be integrated in one processing module, or each of the units can be physically present separately, or two or more units can be integrated in one module. The integrated module can be implemented in the form of hardware or in the form of a software functional module. When the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer readable storage medium.

[0189] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it should be understood that the above embodiments are exemplary and should not be construed as limiting the present application, and those skilled in the art can make changes, modifications, replacements and variations to the above embodiments within the scope of the present application.

Claims

1. A cross-border new business model three-intelligent security inspection method, characterized in that, The method comprises the following steps: Based on the preset three intelligence inspection machine, the safety of the plurality of target cross-border e-commerce order packages is detected to obtain safety detection results; A container loading list of the plurality of target cross-border e-commerce order packages is determined, and the plurality of target cross-border e-commerce order packages are packaged and sorted, and the plurality of target cross-border e-commerce order packages after packaging and sorting are combined and sealed according to the container loading list to obtain a list total single of the plurality of target cross-border e-commerce order packages after combination and sealing; The safety detection results and the list total single are sent to a preset three intelligence supply chain safety management platform, so that the customs inspects the plurality of target cross-border e-commerce order packages according to the three intelligence supply chain safety management platform, a preset logistics supervision model and a preset customs inspection simplification requirement, and the plurality of target cross-border e-commerce order packages after inspection are delivered to target overseas consumers through a preset international logistics enterprise; Wherein, based on the preset three intelligence inspection machine, the safety of the plurality of target cross-border e-commerce order packages is detected to obtain safety detection results, comprising: A three intelligence inspection machine is constructed by using a preset grating-based multi-characteristic CT device, an X-ray diffraction device, a millimeter wave radar device and a nuclear radiation detection device; The plurality of target cross-border e-commerce order packages are detected and distributed according to a preset prior knowledge base and a preset detection rule to obtain detection and distribution data; A data acquisition area of the three intelligence inspection machine is determined, and when the plurality of target cross-border e-commerce order packages pass through the data acquisition area, a target detection device of the three intelligence inspection machine is determined, and the detection parameters of the target detection device are adjusted; The plurality of target cross-border e-commerce order packages are data-acquired by the three intelligence inspection machine based on the target detection device and the detection parameters to obtain data acquisition results; The data acquisition results are fused and judged according to a pre-trained fusion judgment model to generate a safety detection result corresponding to each target cross-border e-commerce order package in the plurality of target cross-border e-commerce order packages.

2. The method of claim 1, wherein, Before the data acquisition results are fused and judged according to the pre-trained fusion judgment model, it further comprises: Based on the preset optional customs risk control data, the preset prior knowledge base, the preset detection rule and the data acquisition results, an initial training data set is constructed; The initial training data set is pre-processed and feature-processed to generate a standard training data set; At least one industry type corresponding to the plurality of target cross-border e-commerce order packages is obtained, and a scoring sub-model corresponding to each industry type in the at least one industry type is determined; The scoring sub-model corresponding to each industry type is combined according to a preset ensemble learning strategy to construct a fusion judgment model; The fusion judgment model is trained and optimized based on the standard training data set and performance evaluation indexes to obtain the pre-trained fusion judgment model.

3. The method of claim 1, wherein, The determination of the container loading list of the plurality of target cross-border e-commerce order packages, and the packaging and sorting processing of the plurality of target cross-border e-commerce order packages, and the container loading and sealing of the plurality of target cross-border e-commerce order packages after packaging and sorting according to the container loading list, to obtain the list total single of the plurality of target cross-border e-commerce order packages after container loading and sealing, comprising: Determine the container loading list based on the destination of each target cross-border e-commerce order package and the size of the container of the transport vehicle; Packaging and coding each target cross-border e-commerce order package, and sorting each target cross-border e-commerce order package after packaging and coding, and container loading and sealing of the plurality of target cross-border e-commerce order packages after sorting through the container loading list, to generate the list total single.

4. The method of claim 1, wherein, The safety detection result and the list total single are sent to a preset three intelligence supply chain safety management platform, so that the customs checks the plurality of target cross-border e-commerce order packages according to the three intelligence supply chain safety management platform, a preset logistics supervision model and a preset customs inspection simplification requirement, and the plurality of target cross-border e-commerce order packages after inspection are distributed to target overseas consumers through a preset international logistics enterprise, comprising: Based on the preset digital twin strategy, the safety detection result and the list total single are stored, and the safety detection result and the list total single are uploaded to the three intelligence supply chain safety management platform; According to the preset Internet of Things application strategy and supply chain event management strategy, the preset logistics supervision model is constructed; Based on the preset customs inspection simplification requirement, the plurality of target cross-border e-commerce order packages are classified into to-be-inspected packages and exempted packages; According to the three intelligence supply chain safety management platform and the preset logistics supervision model, the to-be-inspected packages are inspected, and the exempted packages and the to-be-inspected packages after inspection are distributed to the target overseas consumers.

5. A cross-border new industry mode three-intelligent security inspection device, characterized in that, Comprising: The detection module is used for detecting the safety of the plurality of target cross-border e-commerce order packages based on a preset three intelligence inspection machine to obtain a safety detection result; The container loading list of the plurality of target cross-border e-commerce order packages is determined, and the packaging and sorting processing of the plurality of target cross-border e-commerce order packages is performed, and the container loading and sealing of the plurality of target cross-border e-commerce order packages after packaging and sorting according to the container loading list, to obtain the list total single of the plurality of target cross-border e-commerce order packages after container loading and sealing; The inspection module is used for sending the safety detection result and the list total single to a preset three intelligence supply chain safety management platform, so that the customs checks the plurality of target cross-border e-commerce order packages according to the three intelligence supply chain safety management platform, a preset logistics supervision model and a preset customs inspection simplification requirement, and the plurality of target cross-border e-commerce order packages after inspection are distributed to target overseas consumers through a preset international logistics enterprise; The detection module comprises: A construction unit is configured to construct the three-intelligent inspection machine by using a preset grating-based multi-characteristic CT device, an X-ray diffraction device, a millimeter wave radar device, and a nuclear radiation detection device; A shunting unit is configured to detect and shunt the plurality of target cross-border e-commerce order packages according to a preset prior knowledge base and a preset detection rule to obtain detection and shunting data; An adjustment unit is configured to determine a data acquisition area of the three-intelligent inspection machine, and determine a target detection device of the three-intelligent inspection machine when the plurality of target cross-border e-commerce order packages pass through the data acquisition area, and adjust a detection parameter of the target detection device; An acquisition unit is configured to acquire data of the plurality of target cross-border e-commerce order packages by using the three-intelligent inspection machine based on the target detection device and the detection parameter to obtain a data acquisition result; A decision unit is configured to perform fusion decision on the data acquisition result according to a pre-trained fusion decision model to generate a safety detection result corresponding to each target cross-border e-commerce order package in the plurality of target cross-border e-commerce order packages.

6. An electronic device, comprising: Comprise: A memory, a processor, and a computer program stored on the memory and executable on the processor, the processor executing the program to implement the method of any one of claims 1-4.

7. A computer-readable storage medium having stored thereon a computer program, characterized in that The program is executed by the processor to implement the method of any one of claims 1-4.

8. A computer program product comprising a computer program, characterized in that, The computer program is executed to implement the method of any one of claims 1-4.

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