A cross-border parcel declaration consistency verification system and method based on a multi-point dynamic weighing device

Abstract

The application provides a cross-border parcel declaration consistency verification system and method based on a multi-point dynamic weighing device. It belongs to the field of logistics automation and intelligent weighing technology. The method comprises the following steps: reading the cross-border parcel identification code through a parcel identification device, calling the declaration weight value associated with the identification code from the declaration database, and generating parcel declaration reference data; based on the conveying belt conveying speed parameter and the parcel size distribution characteristics, a plurality of pressure sensors are arranged along the longitudinal direction of the conveying belt, the moving parcel is continuously sampled for pressure signals, the dynamic noise interference is removed through sliding window filtering processing, the instantaneous weight value is calculated combined with the calibration parameters of each sensor and weighted fusion, and the parcel dynamic weight value is generated; through the fusion of the multi-point dynamic weighing device and the intelligent grading disposal mechanism, the cross-border parcel customs efficiency is significantly improved, the online full coverage detection of the moving parcel is realized, and the low efficiency problem caused by the traditional static weighing which needs to stop the line to take the parcel is avoided.

Description

Technical Field

[0001] This invention proposes a cross-border parcel declaration consistency verification system and method based on a multi-point dynamic weighing device, belonging to the field of logistics automation and intelligent weighing technology. Background Technology

[0002] As a crucial component of international trade, cross-border e-commerce logistics' customs clearance efficiency and regulatory accuracy directly impact trade facilitation and customs tax collection capabilities. Parcel weight, a key declaration element for cross-border e-commerce goods, directly affects the accuracy of tariff calculation and commodity classification. In recent years, with the rapid expansion of cross-border e-commerce, violations such as evading tariffs by falsely declaring parcel weight have become increasingly prominent, posing higher technical requirements for customs supervision.

[0003] Currently, existing technologies mainly face the following four technical bottlenecks: Static weighing is inefficient: Currently, most customs supervision sites use static weighing to conduct random inspections of parcels. This requires removing the parcels from the conveyor belt and placing them on a static scale for weighing, which seriously affects customs clearance efficiency and makes it difficult to achieve full coverage inspection of large batches of parcels.

[0004] Poor accuracy of single-point dynamic weighing: Most existing online weighing equipment adopts single-point weighing. When the package moves at high speed on the conveyor belt, the weighing accuracy is difficult to guarantee due to interference from factors such as vibration and shaking, and the error rate is high, which cannot meet the needs of precise customs supervision.

[0005] Lack of intelligent graded handling mechanism: The traditional weight verification method simply compares the weighing result with the declared data, and cannot differentiate the processing according to the risk level, resulting in low efficiency of inspection resource allocation, which not only wastes resources but also affects customs clearance efficiency.

[0006] Lack of dynamic threshold adjustment capability: The existing system uses fixed thresholds for risk assessment, and cannot dynamically adjust them according to customs clearance volume, inspection human resource allocation and credit status of consignors and consignees, making it difficult to achieve a balance between precise supervision and trade facilitation. Summary of the Invention

[0007] This invention provides a cross-border parcel declaration consistency verification system and method based on a multi-point dynamic weighing device, to solve the problems mentioned in the background art above: This invention proposes a method for verifying the consistency of cross-border parcel declarations based on a multi-point dynamic weighing device, the method comprising: S1. Read the cross-border parcel identification code through the parcel identification device, retrieve the declared weight value associated with the identification code from the declaration database, and generate parcel declaration baseline data; S2. Based on the conveyor belt speed parameters and package size distribution characteristics, multiple pressure sensors are arranged along the longitudinal direction of the conveyor belt to continuously sample the pressure signals of the moving packages. Dynamic noise interference is eliminated through sliding window filtering. The instantaneous weight value is calculated and weighted fused with the calibration parameters of each sensor to generate the dynamic weight value of the package. S3. Calculate the weight deviation rate based on the dynamic weight value and the declared weight value, compare the deviation rate with the first and second thresholds of dynamic adjustment, and generate a three-level graded handling instruction that includes release, random inspection or mandatory inspection instructions. S4. Control the sorting execution device to perform actions according to the graded disposal instructions, guide the package to the corresponding logistics channel, and generate an electronic tracking tag containing weighing data, deviation rate and disposal results to achieve full-process traceability. S5. Based on customs clearance flow parameters, inspection human resource configuration parameters, and credit scores of consignors and consignees, the first and second thresholds are dynamically updated through a threshold adjustment model to form a closed-loop self-optimization mechanism to adapt to complex regulatory scenarios.

[0008] This invention proposes a cross-border parcel declaration consistency verification system based on a multi-point dynamic weighing device, the system comprising: One or more processors; Memory, used to store one or more programs; Wherein, when the one or more programs are executed by the one or more processors, the one or more processors are made to implement the method described in any one of the above.

[0009] The beneficial effects of this invention are as follows: By integrating a multi-point dynamic weighing device with an intelligent tiered handling mechanism, the efficiency of cross-border parcel clearance is significantly improved. It achieves full online coverage detection of moving parcels, avoiding the inefficiency caused by the need to stop the line to retrieve parcels in traditional static weighing. Simultaneously, multiple precision assurance technologies effectively reduce weighing errors in dynamic environments, solving the problem of insufficient accuracy caused by vibration and shaking in single-point weighing. The system's dynamic threshold adjustment mechanism enhances the accuracy of identifying high-risk parcels while reducing the resource consumption for inspecting low-risk parcels, achieving a balance between precise supervision and trade facilitation. Furthermore, the closed-loop self-optimization function continuously reduces the system's misjudgment rate, avoiding the drawbacks of fixed thresholds being unable to adapt to complex scenarios. It effectively intercepts tax evasion through false weight declarations while ensuring rapid clearance of compliant parcels, comprehensively improving customs supervision efficiency and user experience. Attached Figure Description

[0010] Figure 1 This is a diagram illustrating the steps of the method described in this invention. Detailed Implementation

[0011] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0012] One embodiment of the present invention, such as Figure 1 As shown, a method for verifying the consistency of cross-border parcel declarations based on a multi-point dynamic weighing device is provided, the method comprising: S1. Read the cross-border parcel identification code through the parcel identification device, retrieve the declared weight value associated with the identification code from the declaration database, and generate parcel declaration baseline data; S2. Based on the conveyor belt speed parameters and package size distribution characteristics, multiple pressure sensors are arranged along the longitudinal direction of the conveyor belt to continuously sample the pressure signals of the moving packages. Dynamic noise interference is eliminated through sliding window filtering. The instantaneous weight value is calculated and weighted fused with the calibration parameters of each sensor to generate the dynamic weight value of the package. S3. Calculate the weight deviation rate based on the dynamic weight value and the declared weight value, compare the deviation rate with the first and second thresholds of dynamic adjustment, and generate a three-level graded handling instruction that includes release, random inspection or mandatory inspection instructions. S4. Control the sorting execution device to perform actions according to the graded disposal instructions, guide the package to the corresponding logistics channel, and generate an electronic tracking tag containing weighing data, deviation rate and disposal results to achieve full-process traceability. S5. Based on customs clearance flow parameters, inspection human resource configuration parameters, and credit scores of consignors and consignees, the first and second thresholds are dynamically updated through a threshold adjustment model to form a closed-loop self-optimization mechanism to adapt to complex regulatory scenarios.

[0013] The working principle and effects of the above technical solution are as follows: Multi-point dynamic weighing throughout the entire process of cross-border parcel inspection effectively improves customs clearance efficiency and reduces process interruptions caused by static weighing; multi-sensor collaborative sampling and sliding window filtering significantly improve weight detection accuracy and reduce data deviations caused by vibration and shaking; a three-tiered handling rule allocates inspection resources, greatly improving the efficiency of regulatory resource utilization and reducing unnecessary inspection time; dynamic thresholds adapt to customs clearance volume and entity credit, enhancing the system's scenario adaptability and reducing judgment biases caused by fixed thresholds; a weight distribution model corrects weighing results, eliminating calculation errors caused by center of gravity shifts and avoiding data distortion; full-process electronic tag traceability and closed-loop self-optimization improve the reliability of verification results and prevent data loss leading to regulatory traceability interruptions; and through the collaborative operation of multiple technologies, both the strictness of customs supervision and the convenience of cross-border parcel clearance are ensured, resulting in an overall optimized synergy between supervision and customs clearance.

[0014] In one embodiment of the present invention, S1 includes: S11. Start the parcel identification device to scan the cross-border parcels entering the work area, collect the unique identification code information on the parcel, and complete the one-to-one correspondence between the identification code and the physical parcel. S12. Send a real-time data retrieval command to the backend declaration database, quickly match the declaration information corresponding to the identification code, extract the weight declaration value and complete the preliminary data verification. S13. Integrate the parcel identification code information with the matched weight declaration values ​​to construct structured parcel declaration benchmark data, ensuring that the data format is uniform and can be directly used for subsequent comparison. S14. Store the generated package declaration baseline data into a dedicated data cache unit to keep the data available for real-time retrieval.

[0015] The working principle and effects of the above technical solution are as follows: By scanning cross-border parcels with a parcel identification device, the unique identification code of the parcel can be completely collected and bound to the physical parcel, improving the accuracy of parcel identification and reducing the probability of parcel information mismatch; by initiating a real-time data retrieval command to the backend declaration database, the corresponding declaration information can be quickly matched and the weight value can be extracted, improving the data retrieval speed and reducing the time consumption caused by manual verification; by integrating the identification code and the weight declaration value to construct structured declaration benchmark data, the data format can be unified and adapted to subsequent verification processes, enhancing the consistency of data use and avoiding data format chaos affecting the verification process; by storing the declaration benchmark data in a dedicated cache unit, the data can be kept in a real-time callable state, improving the response speed of subsequent verification links and avoiding process blockage caused by data retrieval delays. This not only ensures the completeness and efficiency of parcel information collection and retrieval, but also provides stable and reliable data support for subsequent weight verification, improving the smoothness of the overall verification process.

[0016] In one embodiment of the present invention, step S14 includes: The completed package declaration baseline data is transmitted to the system's dedicated data cache unit to complete the physical storage of the data in the cache space; Add timestamps to the baseline data for application within the cache unit and update the effective usage period of the data synchronously. Perform stability testing on cached data, investigate missing data or abnormal formatting, and maintain the integrity and usability of the data; maintain real-time connectivity between the cache unit and subsequent verification modules to ensure that the application benchmark data can be quickly retrieved and responded to; Clean up expired and redundant data in the cache unit to reserve stable operating space for the current reporting benchmark data.

[0017] The working principle and effects of the above technical solution are as follows: By transmitting the parcel declaration baseline data to a dedicated cache unit for physical storage, the basic information required for verification can be stably retained, improving the security of data retrieval and reducing the risk of data loss; by adding timestamps to the cached data and updating the validity period, the timeliness of data usage can be clearly distinguished, enhancing the standardization of data management and preventing expired data from participating in the verification process; by conducting stability testing on the cached data, missing and abnormal situations can be identified in a timely manner, improving data availability and preventing data defects from affecting subsequent verification operations; by maintaining real-time connectivity between the cache unit and the verification module, data response and retrieval speeds can be accelerated, improving process efficiency and preventing process interruptions caused by data transmission delays; by clearing expired and redundant data in the cache, sufficient operating space can be reserved, enhancing system smoothness and preventing data processing delays caused by cache congestion. This provides continuous and stable data support for parcel weight verification, ensures the overall efficient and reliable operation of the system, and improves the stability and continuity of the entire cross-border parcel verification process.

[0018] In one embodiment of the present invention, S2 includes: S21. Collect real-time conveying speed parameters of the conveyor belt and historical package size distribution characteristics data, and calculate the optimal arrangement interval of pressure sensors in combination with the operation scenario to ensure that multiple sets of sensors can be synchronously covered when the package passes through. S22. Install multiple sets of pressure sensors at designated positions along the longitudinal direction of the conveyor belt, complete zero-point drift compensation and sensitivity coefficient calibration of all sensors, and eliminate data deviations caused by individual differences in equipment. S23. Monitor the time boundaries of packages entering and leaving the weighing area, define the effective acquisition time window for pressure signals, and retain only the effective pressure signal data within the window. S24. Acquire the output signals of each group of pressure sensors at a fixed frequency within the effective acquisition time window, and use a sliding window filtering algorithm to remove abnormal data caused by vibration and shaking, and retain stable and effective signals. S25. Combine the filtered pressure signal with the sensor calibration parameters to calculate the instantaneous weight at each moment, perform weighted fusion of multiple instantaneous weights, and output an accurate dynamic weight value of the package.

[0019] The working principle and effects of the above technical solution are as follows: By rationally deploying pressure sensors and ensuring that the package is simultaneously covered by multiple sets, the redundancy and reliability of weighing data can be improved, the integrity of dynamic weighing can be enhanced, and blind spots in detection can be avoided when the package passes by. By compensating and calibrating the sensors, data deviations caused by individual differences in equipment can be eliminated, the accuracy of weight acquisition can be improved, and the system errors caused by the equipment itself can be reduced. By defining an effective acquisition time window, the signal during the period when the package passes by can be focused, reducing invalid data interference and avoiding the influence of non-package signals on the weighing results. By filtering the acquired signals through a sliding window, abnormal values ​​caused by vibration and shaking can be filtered out, improving signal stability and avoiding weight distortion caused by dynamic environmental interference. By weighted fusion of multiple sets of instantaneous weights, multi-point detection information can be integrated to output more realistic dynamic weight values, enhancing the credibility of the weighing results. It can complete continuous weighing while the package is moving at high speed, while maintaining high detection accuracy, balancing customs clearance efficiency and regulatory accuracy, making the cross-border package inspection process smoother and more reliable.

[0020] In one embodiment of the present invention, step S23 includes: Track the displacement of the package on the conveyor belt, sense the physical position of the package when it enters the weighing section, and generate an initial signal for the package to enter the weighing section. Continuously track the package's transmission status, sense the physical location of the package leaving the weighing area, and generate a termination signal for the package leaving the weighing area; By combining the initial and termination signals, the effective time range for pressure signal acquisition is defined, forming a dedicated time interval for pressure signal acquisition. Interference signals outside the designated time interval are filtered out, and the complete pressure signal within the time interval is retained, resulting in a pure pressure signal acquisition result.

[0021] The working principle and effects of the above technical solution are as follows: By tracking the displacement of the package throughout the entire process and sensing its entry and exit from the weighing zone, the corresponding detection time period of the package can be accurately captured, improving the targeting of signal acquisition and reducing the probability of irrelevant signals being mixed in; by generating start and end signals for the package's entry and exit, clear boundaries can be provided for signal acquisition, enhancing the standardization of data acquisition and avoiding calculation deviations caused by ambiguous acquisition time periods; by combining start and end signals to define the effective acquisition time range, the acquisition interval of the package's actual force can be locked, improving data purity and reducing the system processing resources occupied by invalid time period data; by filtering interference signals outside the time interval and retaining complete and effective pressure signals, signal quality can be optimized, avoiding interference from environmental noise and idle signals on the weighing results. This not only accurately matches the correspondence between the package and signal acquisition but also significantly improves the effectiveness of dynamic weighing data, providing a stable and reliable signal foundation for subsequent weight calculations and ensuring the accuracy and smoothness of the overall verification process.

[0022] In one embodiment of the present invention, S25 includes: Extract the filtered pressure signal value, match the corresponding sensor calibration parameters, and complete the point-by-point calculation of a single set of instantaneous weights; The instantaneous weight sequences output by all sensors are aggregated to construct a multi-dimensional instantaneous weight data set; a weighted operation is performed on the multi-dimensional instantaneous weight data set to generate a fused intermediate weight value.

[0023] A package weight distribution model is introduced to correct intermediate weight values ​​and eliminate numerical deviations caused by center of gravity shift; the final weight value after correction is output to form the dynamic weight value of the package.

[0024] The working principle and effects of the above technical solution are as follows: By extracting the filtered pressure signal and matching the sensor calibration parameters to complete the instantaneous weight calculation point by point, the accuracy of a single set of weight values ​​can be improved, and the calculation error caused by the deviation of the original signal can be reduced. By summarizing multiple sets of instantaneous weight sequences to construct a multi-dimensional data set, the data source for weight calculation can be enriched, the comprehensiveness of data support can be enhanced, and the one-sidedness of results caused by single-point detection can be avoided. By generating intermediate weight values ​​through weighted calculation of multi-dimensional data, the advantages of multi-point detection can be integrated, the stability of the fusion result can be improved, and the impact of random fluctuations on the final value can be reduced. By introducing a weight distribution model to correct the intermediate value, the deviation caused by the offset of the package's center of gravity can be eliminated, the fit of dynamic weight can be improved, and the distortion of weighing results due to center of gravity issues can be avoided. By outputting the corrected final weight value, a reliable basis can be provided for the verification process. It can obtain the real package weight in dynamic transmission scenarios and continuously ensure the accuracy and stability of weighing results, providing solid data support for the consistency verification of cross-border package declarations.

[0025] In one embodiment of the present invention, S3 includes: S31. Extract the generated dynamic weight value of the package and the weight value in the declaration benchmark data, calculate the difference between the values, and convert the difference into standardized weight deviation rate data. S32. Retrieve the currently effective first and second thresholds from the system parameter unit, compare the weight deviation rate with the two sets of thresholds in turn, and divide the package risk level range. S33. Match the corresponding handling rules according to the risk level range. When the deviation rate is lower than the first threshold, generate a release order; when it is between the two thresholds, generate a sampling inspection order; when it is higher than the second threshold, generate a mandatory inspection order. S34. Standardize the format of the generated three-level graded disposal instructions and push them synchronously to the sorting control module and the data recording module to ensure that the instructions can be accurately received and executed. S35. Add a package identification code to the graded handling instructions to ensure that the instructions correspond one-to-one with the packages and avoid instruction confusion and execution errors when handling multiple packages.

[0026] The working principle and effects of the above technical solution are as follows: By calculating the difference between the dynamic weight and the declared weight and converting it into a standardized deviation rate, the comparison criteria can be unified, improving the objectivity of weight difference judgment and reducing errors caused by manual comparison; by retrieving dual thresholds and comparing them step by step with the deviation rate to classify risk levels, the regulatory judgment standards can be refined, enhancing the accuracy of risk identification and avoiding resource waste caused by indiscriminate verification; by generating corresponding handling instructions according to risk levels, inspection resources can be rationally allocated, improving regulatory execution efficiency and reducing unnecessary detention of low-risk packages; by standardizing handling instructions and simultaneously pushing them to relevant modules, smooth instruction transmission can be ensured, improving process connection efficiency and avoiding execution interruptions caused by abnormal instruction formats; by adding package identification codes to the instructions, instructions can be accurately bound to packages, reducing the probability of confusion when multiple packages are processed in parallel and avoiding sorting errors caused by instruction mismatch. This achieves both precise and efficient customs supervision and ensures rapid clearance of normal packages, balancing regulatory intensity and clearance efficiency, making the overall verification and handling process more rational.

[0027] In one embodiment of the present invention, S32 includes: Access the internal parameter unit of the system to retrieve the currently effective threshold parameters, generate real-time available values ​​for the first and second thresholds, and complete the real-time loading and caching of threshold data; Load the standardized weight deviation rate data to form a weight deviation value that can be directly used in the calculation, ensuring that the value format is uniform and free from abnormal interference; The weight deviation values ​​are compared with the first threshold item by item, and the relationship between the deviation values ​​and the threshold values ​​is recorded to generate the first-level preliminary judgment results. The weight deviation values ​​that do not fall into the first threshold range are compared with the second threshold to improve the hierarchical comparison relationship between the deviation values ​​and the thresholds, and generate the second-level discrimination results. By integrating the judgment results formed by the two-level threshold comparison, the risk level range corresponding to the package is divided, and complete and directly callable risk level classification data is generated.

[0028] The working principle and effects of the above technical solution are as follows: By retrieving and loading system threshold parameters in real time, the timeliness of threshold usage can be maintained, improving the accuracy of risk assessment and avoiding inaccurate judgments caused by using expired thresholds; by loading standardized weight deviation rate data, the calculation method can be unified, improving the smoothness of numerical processing and reducing calculation interruptions caused by format abnormalities; by comparing the deviation values ​​with the first threshold item by item, preliminary risk screening can be completed quickly, accelerating the judgment speed and reducing the subsequent processing cost of invalid data; by comparing the remaining deviation values ​​with the second threshold a second time, the risk differentiation criteria can be refined, enhancing the rationality of the judgment level and avoiding overly coarse risk classification; by integrating the two-level comparison results to generate complete risk level data, a clear basis can be provided for subsequent handling, improving the coherence of process execution. This makes risk level classification more scientific and rigorous, and the allocation of regulatory resources more targeted, effectively improving the accuracy and operational efficiency of the cross-border parcel verification process.

[0029] In one embodiment of the present invention, step S4 includes: S41. Receive the hierarchical processing instructions of the associated package identification code, and calculate the optimal timing for the sorting execution device to operate based on the real-time location of the package and the distribution of the logistics channel, so as to ensure that the operation is accurate and does not interfere with normal transportation. S42. Drive the sorting execution device to perform actions according to the calculation results, smoothly guide the package to the logistics channel that matches the disposal instructions, and complete the physical diversion of low, medium and high risk packages; S43. Collect dynamic weight of packages, weight deviation rate, graded handling results and channel diversion information, and integrate them into complete package verification process data to ensure that the data dimensions are complete and without missing data. S44. Write the full-process verification data into a dedicated electronic tracking tag and upload it synchronously to the supervision and logistics platform to retain tamper-proof records and support full traceability and historical query.

[0030] The working principle and effects of the above technical solution are as follows: By receiving graded handling instructions and calculating the optimal timing for the sorting device's operation, the accuracy of sorting actions can be improved, reducing the possibility of package collisions and channel interference, and preventing sorting errors from affecting the normal transport process; by driving the sorting device to complete the physical diversion of risky packages according to the plan, the channel utilization efficiency can be improved, reducing the inspection chaos caused by the mixed flow of packages of different risk levels; by collecting full-dimensional verification and diversion information and integrating complete data, the comprehensiveness of process records can be enhanced, avoiding the omission of key information that affects subsequent traceability and verification; by writing the entire process data into electronic tags and uploading them to the platform simultaneously, the records can be guaranteed to be tamper-proof, improving the credibility of regulatory traceability and avoiding difficulties in determining responsibility due to data loss or tampering. This allows for the rapid and accurate diversion of risky packages, while ensuring that each batch of packages has a complete and traceable flow record, effectively balancing customs clearance speed and regulatory intensity, and improving the standardization and reliability of the entire cross-border package sorting and supervision process.

[0031] In one embodiment of the present invention, S41 includes: Receive the graded handling instructions issued by the system, extract the package identification code and risk handling type contained in the instructions, and generate sorting task information to be executed; Real-time data collection of package location and speed information on the conveyor belt is used to generate real-time data on package transport status. Read the spatial distribution of logistics channels and the installation location information of sorting devices to generate layout data of logistics channels and execution mechanisms; integrate real-time data of package transmission status with logistics channel layout data to calculate the action trigger nodes of sorting execution devices; Output action trigger nodes and action amplitude parameters to form action control parameters that the sorting execution device can directly respond to.

[0032] The working principle and effects of the above technical solution are as follows: By receiving graded handling instructions and extracting package identification codes and handling types, packages can be accurately bound to corresponding sorting tasks, improving the accuracy of task matching and reducing the probability of package missorting; by collecting package transmission location and speed information in real time, the package running status can be fully grasped, enhancing the real-time nature of data feedback and avoiding action deviations caused by status lag; by reading channel distribution and device location information, the layout of the operation scene can be clearly grasped, improving the rationality of action planning and reducing spatial adaptation errors; by integrating transmission status and layout data to calculate trigger nodes, sorting actions and package movement can be highly synchronized, improving execution accuracy and avoiding sorting failures caused by actions that are too early or too late; by outputting control parameters that can be directly responded to, the device execution logic can be simplified, the response speed can be accelerated, and the execution delay caused by parameter conversion can be avoided. This ensures stable and reliable sorting actions in high-speed circulation scenarios and makes the entire sorting process smooth and lag-free, continuously improving the efficiency and security of cross-border package diversion.

[0033] In one embodiment of the present invention, step S5 includes: S51. Collect real-time customs clearance flow data and on-site inspection human resource allocation data, summarize them to form system operating environment parameters, and reflect the current workload and resource supply status; S52. Retrieve historical declaration deviation records and compliance behavior data of the consignor and consignee, and obtain the entity credit score through quantitative calculation to reflect the long-term credibility level of the entity's declarations. S53. Adjust the model by combining the operating environment parameters and credit score input thresholds, and obtain new values ​​for the first and second thresholds that are adapted to the current scenario through model calculation. S54. Replace the original threshold in the system with the new threshold value according to a fixed update cycle to complete the dynamic refresh of the threshold and make the verification rules adapt to the constantly changing operation and supervision scenarios. S55. Collect actual weight data and verification results from manual inspection feedback, correct sensor calibration parameters and threshold model coefficients, continuously optimize system accuracy and judgment accuracy, and form a closed-loop self-optimization system.

[0034] The working principle and effects of the above technical solution are as follows: By collecting real-time customs clearance flow and inspection manpower data to form operating environment parameters, the system can accurately reflect the operational load status, improve the fit of threshold adjustments, and avoid the disconnect between resource allocation and verification rules; by retrieving historical compliance data of entities and calculating credit scores, the system can objectively reflect the level of declaration credibility, enhance the rationality of risk assessment, and reduce resource consumption caused by indiscriminate supervision; by inputting operating parameters and credit scores into the model to calculate new thresholds, the verification standards can be adapted to the actual situation on site, improving regulatory flexibility and avoiding fixed thresholds being unable to adapt to changes in scenarios; by periodically refreshing threshold values, the system can keep verification rules effective in real time, improve process adaptability, and avoid rule lag affecting the balance between customs clearance and supervision; by collecting inspection feedback to correct parameters and model coefficients, the system accuracy can be continuously optimized, forming a closed-loop self-optimization system and avoiding the accumulation of errors leading to inaccurate judgments. This allows customs supervision to be dynamically adjusted according to the scenario, and allows compliant parcels to enjoy more efficient customs clearance, thereby improving the accuracy and overall operational efficiency of cross-border parcel verification in the long term.

[0035] One embodiment of the present invention provides a cross-border parcel declaration consistency verification system based on a multi-point dynamic weighing device, the system comprising: One or more processors; Memory, used to store one or more programs; Wherein, when the one or more programs are executed by the one or more processors, the one or more processors are made to implement the method described in any one of the above.

[0036] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for cross-border package declaration consistency verification based on multi-point dynamic weighing device, characterized in that, The method includes: S1. Read the cross-border parcel identification code through the parcel identification device, retrieve the declared weight value associated with the identification code from the declaration database, and generate parcel declaration baseline data; S2. Based on the conveyor belt speed parameters and package size distribution characteristics, multiple pressure sensors are arranged along the longitudinal direction of the conveyor belt to continuously sample the pressure signals of the moving packages. Dynamic noise interference is eliminated through sliding window filtering. The instantaneous weight value is calculated and weighted fused with the calibration parameters of each sensor to generate the dynamic weight value of the package. S3. Calculate the weight deviation rate based on the dynamic weight value and the declared weight value, compare the deviation rate with the first and second thresholds of dynamic adjustment, and generate a three-level graded handling instruction that includes release, random inspection or mandatory inspection instructions. S4. Control the sorting execution device to perform actions according to the graded disposal instructions, guide the package to the corresponding logistics channel, and generate an electronic tracking tag containing weighing data, deviation rate and disposal results to achieve full-process traceability. S5. Based on customs clearance flow parameters, inspection human resource configuration parameters, and credit scores of consignors and consignees, the first and second thresholds are dynamically updated through a threshold adjustment model to form a closed-loop self-optimization mechanism to adapt to complex regulatory scenarios.

2. The method for verifying the consistency of cross-border parcel declarations based on a multi-point dynamic weighing device according to claim 1, characterized in that, S1 includes: S11. Start the parcel identification device to scan the cross-border parcels entering the work area, collect the unique identification code information on the parcel, and complete the one-to-one correspondence between the identification code and the physical parcel. S12. Send a real-time data retrieval command to the backend declaration database, quickly match the declaration information corresponding to the identification code, extract the weight declaration value and complete the preliminary data verification. S13. Integrate the parcel identification code information with the matched weight declaration values ​​to construct structured parcel declaration benchmark data, ensuring that the data format is uniform and can be directly used for subsequent comparison. S14. Store the generated package declaration baseline data into a dedicated data cache unit to keep the data available for real-time retrieval.

3. The method for verifying the consistency of cross-border parcel declarations based on a multi-point dynamic weighing device according to claim 1, characterized in that, S2 includes: S21. Collect real-time conveying speed parameters of the conveyor belt and historical package size distribution characteristics data, and calculate the optimal arrangement interval of pressure sensors in combination with the operation scenario to ensure that multiple sets of sensors can be synchronously covered when the package passes through. S22. Install multiple sets of pressure sensors at designated positions along the longitudinal direction of the conveyor belt, complete zero-point drift compensation and sensitivity coefficient calibration of all sensors, and eliminate data deviations caused by individual differences in equipment. S23. Monitor the time boundaries of packages entering and leaving the weighing area, define the effective acquisition time window for pressure signals, and retain only the effective pressure signal data within the window. S24. Acquire the output signals of each group of pressure sensors at a fixed frequency within the effective acquisition time window, and use a sliding window filtering algorithm to remove abnormal data caused by vibration and shaking, and retain stable and effective signals. S25. Combine the filtered pressure signal with the sensor calibration parameters to calculate the instantaneous weight at each moment, perform weighted fusion of multiple instantaneous weights, and output an accurate dynamic weight value of the package.

4. The method for verifying the consistency of cross-border parcel declarations based on a multi-point dynamic weighing device according to claim 3, characterized in that, S23 includes: Track the displacement of the package on the conveyor belt, sense the physical position of the package when it enters the weighing section, and generate an initial signal for the package to enter the weighing section. Continuously track the package's transmission status, sense the physical location of the package leaving the weighing area, and generate a termination signal for the package leaving the weighing area; By combining the initial and termination signals, the effective time range for pressure signal acquisition is defined, forming a dedicated time interval for pressure signal acquisition. Interference signals outside the designated time interval are filtered out, and the complete pressure signal within the time interval is retained, resulting in a pure pressure signal acquisition result.

5. The method for verifying the consistency of cross-border parcel declarations based on a multi-point dynamic weighing device according to claim 1, characterized in that, The S3 includes: S31. Extract the generated dynamic weight value of the package and the weight value in the declaration benchmark data, calculate the difference between the values, and convert the difference into standardized weight deviation rate data. S32. Retrieve the currently effective first and second thresholds from the system parameter unit, compare the weight deviation rate with the two sets of thresholds in turn, and divide the package risk level range. S33. Match the corresponding handling rules according to the risk level range. When the deviation rate is lower than the first threshold, generate a release order; when it is between the two thresholds, generate a sampling inspection order; when it is higher than the second threshold, generate a mandatory inspection order. S34. Standardize the format of the generated three-level graded disposal instructions and push them synchronously to the sorting control module and the data recording module to ensure that the instructions can be accurately received and executed. S35. Add a package identification code to the graded handling instructions to ensure that the instructions correspond one-to-one with the packages and avoid instruction confusion and execution errors when handling multiple packages.

6. The method for verifying the consistency of cross-border parcel declarations based on a multi-point dynamic weighing device according to claim 5, characterized in that, S32 includes: Access the internal parameter unit of the system to retrieve the currently effective threshold parameters, generate real-time available values ​​for the first and second thresholds, and complete the real-time loading and caching of threshold data; Load the standardized weight deviation rate data to form a weight deviation value that can be directly used in the calculation, ensuring that the value format is consistent and free from abnormal interference; The weight deviation values ​​are compared with the first threshold item by item, and the relationship between the deviation values ​​and the threshold values ​​is recorded to generate the first-level preliminary judgment results. The weight deviation values ​​that do not fall into the first threshold range are compared with the second threshold to improve the hierarchical comparison relationship between the deviation values ​​and the thresholds, and generate the second-level discrimination results. By integrating the judgment results formed by the two-level threshold comparison, the risk level range corresponding to the package is divided, and complete and directly callable risk level classification data is generated.

7. The method for verifying the consistency of cross-border parcel declarations based on a multi-point dynamic weighing device according to claim 1, characterized in that, The S4 includes: S41. Receive the hierarchical processing instructions of the associated package identification code, and calculate the optimal timing for the sorting execution device to operate based on the real-time location of the package and the distribution of the logistics channel. S42. Drive the sorting execution device to perform actions according to the calculation results, smoothly guide the package to the logistics channel that matches the disposal instructions, and complete the physical diversion of low, medium and high risk packages; S43. Collect dynamic weight of packages, weight deviation rate, graded handling results and channel diversion information, and integrate them into complete package verification process data to ensure that the data dimensions are complete and without missing data. S44. Write the full-process verification data into a dedicated electronic tracking tag and upload it synchronously to the supervision and logistics platform to retain tamper-proof records and support full traceability and historical query.

8. The method for verifying the consistency of cross-border parcel declarations based on a multi-point dynamic weighing device according to claim 7, characterized in that, S41 includes: Receive the graded handling instructions issued by the system, extract the package identification code and risk handling type contained in the instructions, and generate sorting task information to be executed; Real-time data collection of package location and speed information on the conveyor belt is used to generate real-time data on package transport status. Read the spatial distribution of logistics channels and the installation location information of sorting devices to generate layout data of logistics channels and execution mechanisms; integrate real-time data of package transmission status with logistics channel layout data to calculate the action trigger nodes of sorting execution devices; Output action trigger nodes and action amplitude parameters to form action control parameters that the sorting execution device can directly respond to.

9. The method for verifying the consistency of cross-border parcel declarations based on a multi-point dynamic weighing device according to claim 1, characterized in that, The S5 includes: S51. Real-time collection of customs clearance flow data and on-site inspection human resource allocation data for the current period, summarizing them to form system operating environment parameters, reflecting the current workload and resource supply status; S52. Retrieve historical declaration deviation records and compliance behavior data of the consignor and consignee, and obtain the entity credit score through quantitative calculation to reflect the long-term credibility level of the entity's declarations. S53. Adjust the model by combining the operating environment parameters and credit score input thresholds, and obtain new values ​​for the first and second thresholds that are adapted to the current scenario through model calculation. S54. Replace the original threshold in the system with the new threshold value according to a fixed update cycle to complete the dynamic refresh of the threshold and make the verification rules adapt to the constantly changing operation and supervision scenarios. S55. Collect actual weight data and verification results from manual inspection feedback, correct sensor calibration parameters and threshold model coefficients, continuously optimize system accuracy and judgment accuracy, and form a closed-loop self-optimization system.

10. A cross-border parcel declaration consistency verification system based on a multi-point dynamic weighing device, characterized in that, The system includes: One or more processors; Memory, used to store one or more programs; Wherein, when the one or more programs are executed by the one or more processors, the one or more processors implement the method of any one of claims 1 to 9.

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