A DWS (dimensional weight audit) intelligent checking system

Abstract

The application discloses a kind of volume weight auditing DWS intelligent checking system, comprising: volume measurement module, for collecting the three-dimensional size of goods, and according to the three-dimensional size of goods, the volume of goods is calculated;Weight detection module, for real-time acquisition of the weight of goods;Reading module, for identifying and reading the bar code or two-dimensional code of goods;Reading module includes repair module, based on the front and rear visual images of goods, the bar code or two-dimensional code of pollution, damage and unclear is read for repair;Data auditing module, the data auditing module is connected with volume measurement module, weight detection module and reading module respectively, the data auditing module is used to calculate the volume of goods, the consistency of execution data and order information, identify the abnormal state of goods and trigger early warning.The application, instead of traditional logistics manual weighing, volume measurement, manual code scanning upload operation, realizes data acquisition, checking, whole-process automation, and improves logistics processing efficiency.

Description

Technical Field

[0001] This invention relates to the field of logistics-related technologies, specifically a volume and weight audit DWS intelligent verification system. Background Technology

[0002] Currently, many express delivery and logistics companies still use traditional methods when receiving and sending express parcels: weighing parcels with electronic scales, manually identifying the size of parcels, manually sorting them, manually operating cable tie machines to tie the parcels, and scanning express barcode information with PDAs to upload data. Each step requires human intervention, which not only requires a lot of manpower and is costly, but is also inefficient.

[0003] The existing announcement number CN114194538A discloses an automated logistics DWS system based on ModBusRTU. This automated logistics DWS system based on ModBusRTU includes an industrial control computer, a barcode scanner, a volumetric measuring device, a dynamic weighing device, a belt conveyor, a merging device, and a sorting device. The industrial control computer provides a serial port to connect with the RTU and controls the equipment, collects data, and stores data through the intelligent logistics DWS software. The barcode scanner is used to identify the barcode / QR code on the surface of the package when it passes through, and obtains the waybill data, so that automation replaces the previous manual operation, reducing labor costs and error rates, improving work efficiency, and using RTU instead of PLC to realize logistics automation at a low cost. Summary of the Invention

[0004] The purpose of this invention is to provide a volume and weight audit DWS intelligent verification system to solve the problems in the prior art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a volume and weight audit DWS intelligent verification system, comprising:

[0006] The volume measurement module is used to collect the three-dimensional dimensions of the goods and calculate the volume of the goods based on the three-dimensional dimensions;

[0007] The weight detection module is used to collect the weight of the goods in real time;

[0008] The reading module is used to identify and read the barcodes or QR codes on the goods; the reading module includes a repair module, which performs repair reading of contaminated, damaged, or unclear barcodes or QR codes based on the front and rear visual images of the goods.

[0009] The data audit module is connected to the volume measurement module, the weight detection module, and the reading module. The data audit module is used to calculate the volumetric weight of the goods, verify the consistency between the execution data and the order information, identify abnormal status of the goods, and trigger early warnings.

[0010] The storage module is used to store data from various modules of the system;

[0011] A connection transmission module, which is connected to the data audit module, is used to synchronize data to an external logistics system;

[0012] The blockchain module, which is connected to the storage module and the data audit module respectively, is used to generate a unique traceability code for goods, providing conditions for subsequent traceability.

[0013] The background monitoring module is used to monitor the status of various modules in the system.

[0014] Preferably, the volume measurement module uses lidar or 3D structured light, and the volume measurement module includes a point cloud processing module, wherein the NURBS surface reconstruction algorithm is used to adapt the irregularly shaped goods.

[0015] Preferably, the weight detection module includes a weighing sensor and a signal filtering module. The weighing sensor is a strain gauge sensor, and the signal filtering module is used to cancel measurement interference caused by conveyor belt vibration and cargo placement deviation.

[0016] Preferably, the reading module uses a multispectral industrial barcode reader; the storage module uses an SSD solid-state drive and cloud storage, and encrypts the data. The storage module includes a data retrieval submodule, which can quickly retrieve target data by cargo barcode, collection time, verification result, and abnormality type keywords.

[0017] Preferably, the data audit module is used to automatically compare the actual weight and volumetric weight of the goods and take the maximum value as the basis for billing; its verification rule base includes weight threshold, size threshold and barcode information matching rules, which can be compared one by one with the goods information synchronized with the order system to determine whether there are problems such as overweight, oversized, or barcode information inconsistent with the order.

[0018] Preferably, the connection and transmission module uses an API interface to complete data synchronization, is compatible with WMS, TMS, and ERP logistics management systems, and achieves linkage control with AGVs, unmanned forklifts, and automated sorting lines.

[0019] Preferably, it also includes a human-computer interaction module, which is used to display cargo collection data, verification progress, and abnormal information in real time; and to handle abnormalities, configure parameters, update rules, and export data manually.

[0020] Preferably, the blockchain module generates unique traceability code information including cargo weight, volume, barcode information, verification time, circulation nodes, and operator information.

[0021] A method for volumetric weight verification includes the following steps:

[0022] S1. After the goods are transported to the inspection station via the transmission line, the volume measurement module, weight detection module and reading module are used to measure and read the volume, weight and barcode information of the goods.

[0023] S2. After the reading is completed, the data audit module performs volumetric weight calculation, order information matching and rule verification based on the collected information to determine whether the data meets the preset standards.

[0024] S3. If the delivery criteria are met, the connection and transmission module will synchronize the verification data to the external logistics management system, triggering the subsequent sorting and outbound process; if the delivery criteria are not met, an alarm signal will be generated, an abnormal item diversion or manual review process will be executed, and evidence chain data will be retained.

[0025] S4. Generate audit reports and optimize equipment parameters and logistics process configurations based on data statistics results.

[0026] Compared with the prior art, the beneficial effects of the present invention are:

[0027] 1. High degree of automation, cost reduction and efficiency improvement: It replaces the manual weighing, manual volume measurement and manual barcode scanning and uploading in traditional logistics, realizes the full automation of data collection, verification and circulation, greatly reduces manpower input, reduces labor costs and operation error rate, and improves logistics processing efficiency.

[0028] 2. Strong adaptability and coverage of diverse scenarios: The volume measurement module supports the adaptation of irregularly shaped parts, the reading module has the function of repairing damaged / contaminated barcodes, and the weight detection module can offset environmental interference, which can meet the verification needs of goods of different shapes and states, and adapt to various scenarios such as express delivery and logistics.

[0029] 3. Accurate and reliable data, fair billing: Through high-precision hardware such as LiDAR / 3D structured light and strain gauge sensors, combined with algorithm optimization such as signal filtering and surface reconstruction, the accuracy of volume and weight measurement data is ensured; the billing is based on the greater of actual weight and volumetric weight, and is accurately compared with order information to ensure billing fairness and avoid disputes over abnormal billing.

[0030] 4. Strong compatibility and linkage, seamless integration into existing systems: The connection and transmission module adopts API interface, which is compatible with mainstream logistics management systems (WMS, TMS, ERP), and can be linked and controlled with automated equipment such as AGV, unmanned forklifts, and automatic sorting lines. It can be quickly integrated without major modifications to existing logistics facilities.

[0031] 5. Data security and traceability, transparent management: The system adopts a dual storage mode of SSD solid-state drives and cloud storage with encryption to ensure data security; the blockchain module generates a unique traceability code that covers key information throughout the entire life cycle of goods, realizing "traceable origin, traceable destination, and accountability", and improving the transparency of logistics management.

[0032] 6. Intelligent optimization to continuously improve efficiency: By generating audit reports, the system dynamically optimizes equipment parameters and logistics process configurations based on data statistics, continuously adapts to changes in logistics business, and continuously improves system operating efficiency and logistics operation efficiency. Attached Figure Description

[0033] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0034] Figure 1 This is a flowchart of the present invention. Detailed Implementation

[0035] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention.

[0036] Please see Figure 1 In this embodiment of the invention, a volume and weight audit DWS intelligent verification system includes:

[0037] A volume measurement module is used to acquire the three-dimensional dimensions of the goods and calculate the volume of the goods based on the three-dimensional dimensions. The volume measurement module adopts LiDAR or 3D structured light and includes a point cloud processing module. The NURBS surface reconstruction algorithm is used to adapt the irregularly shaped goods.

[0038] The weight detection module is used to collect the weight of the goods in real time. The weight detection module includes a weighing sensor and a signal filtering module. The weighing sensor is a strain gauge sensor, and the signal filtering module is used to cancel the measurement interference caused by conveyor belt vibration and goods placement deviation.

[0039] The reading module is used to identify and read the barcodes or QR codes on the goods; the reading module includes a repair module, which performs repair reading of contaminated, damaged, or unclear barcodes or QR codes based on front and rear visual images of the goods; the reading module uses a multispectral industrial barcode reader;

[0040] After the goods arrive at the inspection station via the conveyor line, each acquisition module operates synchronously. The volume measurement module scans the three-dimensional dimensions using LiDAR or 3D structured light, and combines the NURBS surface reconstruction algorithm to adapt to irregularly shaped parts and calculate the volume. The weight detection module uses a strain gauge sensor to collect real-time weight, and the signal filtering module cancels out the interference from conveyor belt vibration and goods offset. The reading module uses a multispectral industrial barcode reader to identify barcodes / QR codes. If there are problems such as contamination or damage, the repair module completes the repair reading based on the visual images of the goods before and after.

[0041] The data audit module is connected to the volume measurement module, weight detection module, and reading module. This module calculates the volumetric weight of the goods, verifies the consistency between execution data and order information, identifies abnormal cargo statuses, and triggers warnings. It automatically compares the actual weight and volumetric weight of the goods and uses the maximum value as the basis for billing. Its verification rule base includes weight thresholds, size thresholds, and barcode information matching rules, which can be compared one by one with the cargo information synchronized with the order system to determine whether there are issues such as overweight, out-of-specification, or discrepancies between barcode information and the order.

[0042] The storage module is used to store data from various modules of the system. The storage module uses SSD solid-state drives and cloud storage, and encrypts the data. The storage module includes a data retrieval submodule, which can quickly retrieve target data by cargo barcode, collection time, verification result, and abnormality type keywords.

[0043] The connection and transmission module is connected to the data audit module and is used to synchronize data to the external logistics system. The connection and transmission module uses an API interface to complete the data synchronization, is compatible with WMS, TMS and ERP logistics management systems, and can achieve linkage control with AGV, unmanned forklift and automatic sorting line.

[0044] The blockchain module, which is connected to the storage module and the data audit module, is used to generate a unique traceability code for the goods, providing conditions for subsequent traceability. The unique traceability code information generated by the blockchain module includes the weight, volume, barcode information, verification time, circulation node and operator information of the goods.

[0045] The background monitoring module is used to monitor the status of various modules in the system.

[0046] The human-computer interaction module is used to display cargo collection data, verification progress, and abnormal information in real time; and to handle abnormalities, configure parameters, update rules, and export data manually.

[0047] A method for volumetric weight verification includes the following steps:

[0048] S1. After the goods are transported to the inspection station via the transmission line, the volume measurement module, weight detection module and reading module are used to measure and read the volume, weight and barcode information of the goods.

[0049] S2. After the reading is completed, the data audit module performs volumetric weight calculation, order information matching and rule verification based on the collected information to determine whether the data meets the preset standards.

[0050] S3. If the delivery criteria are met, the connection and transmission module will synchronize the verification data to the external logistics management system, triggering the subsequent sorting and outbound process; if the delivery criteria are not met, an alarm signal will be generated, an abnormal item diversion or manual review process will be executed, and evidence chain data will be retained.

[0051] S4. Generate audit reports and optimize equipment parameters and logistics process configurations based on data statistics results.

[0052] The working principle of this invention is:

[0053] Data Acquisition Layer: After the goods arrive at the inspection station via the conveyor line, each acquisition module operates synchronously; the volume measurement module scans the three-dimensional dimensions using LiDAR or 3D structured light, and combines the NURBS surface reconstruction algorithm to adapt to irregularly shaped parts and calculate the volume; the weight detection module uses strain gauge sensors to collect real-time weight, and the signal filtering module cancels out the interference from conveyor belt vibration and goods offset; the reading module uses a multispectral industrial barcode reader to identify barcodes / QR codes. If there are problems such as pollution or damage, the repair module completes the repair reading based on the visual images of the goods before and after.

[0054] Data processing and auditing layer: The data auditing module receives the collected volume, weight, and barcode information. On the one hand, it calculates the volumetric weight of the goods, automatically compares the actual weight with the volumetric weight, and takes the maximum value as the basis for billing. On the other hand, it retrieves the goods information synchronized from the order system and compares them one by one according to the weight threshold, size threshold, and barcode matching rules in the verification rule base to determine whether there are any abnormalities such as overweight, out-of-specification, or information discrepancies. If an abnormality is found, an alert is triggered.

[0055] Linkage and Execution Layer: If the data meets the preset standards, the connection and transmission module synchronizes the verification data to external logistics management systems such as WMS, TMS, and ERP through the API interface, and links AGV, unmanned forklifts, and automatic sorting lines to start the subsequent sorting and outbound process; if it does not meet the standards, the system generates an alarm signal, executes the abnormal part diversion or manual review process, and retains complete evidence chain data.

[0056] Traceability and Optimization Layer: The blockchain module integrates information such as cargo weight, volume, barcode, verification time, flow nodes, and operators to generate a unique traceability code, providing a basis for subsequent full-process traceability; the storage module (SSD solid-state drive + cloud storage) encrypts and stores all data, supporting quick keyword retrieval; the backend monitoring module monitors the operating status of each module in real time, and the human-machine interaction module allows for manual handling of anomalies and parameter configuration; finally, by generating an audit report, equipment parameters and logistics processes are optimized based on data statistical results.

[0057] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A volume and weight audit DWS intelligent verification system, characterized in that, include: The volume measurement module is used to collect the three-dimensional dimensions of the goods and calculate the volume of the goods based on the three-dimensional dimensions; The weight detection module is used to collect the weight of the goods in real time; The reading module is used to identify and read the barcodes or QR codes on the goods; the reading module includes a repair module, which performs repair reading of contaminated, damaged, or unclear barcodes or QR codes based on the front and rear visual images of the goods. The data audit module is connected to the volume measurement module, the weight detection module, and the reading module. The data audit module is used to calculate the volumetric weight of the goods, verify the consistency between the execution data and the order information, identify abnormal status of the goods, and trigger early warnings. The storage module is used to store data from various modules of the system; A connection transmission module, which is connected to the data audit module, is used to synchronize data to an external logistics system; The blockchain module, which is connected to the storage module and the data audit module respectively, is used to generate a unique traceability code for goods, providing conditions for subsequent traceability. The background monitoring module is used to monitor the status of various modules in the system.

2. The DWS intelligent verification system for volume and weight auditing according to claim 1, characterized in that, The volume measurement module uses lidar or 3D structured light and includes a point cloud processing module. The NURBS surface reconstruction algorithm is used to adapt the irregularly shaped goods.

3. The DWS intelligent verification system for volume and weight auditing according to claim 1, characterized in that, The weight detection module includes a weighing sensor and a signal filtering module. The weighing sensor is a strain gauge sensor, and the signal filtering module is used to cancel the measurement interference caused by conveyor belt vibration and cargo placement deviation.

4. The DWS intelligent verification system for volume and weight auditing according to claim 1, characterized in that, The reading module uses a multispectral industrial barcode reader; the storage module uses an SSD solid-state drive and cloud storage, and encrypts the data. The storage module includes a data retrieval submodule, which can quickly retrieve target data by cargo barcode, collection time, verification result, and abnormality type keywords.

5. The DWS intelligent verification system for volume and weight auditing according to claim 1, characterized in that, The data audit module is used to automatically compare the actual weight and volumetric weight of the goods and take the maximum value as the basis for billing; its verification rule base includes weight threshold, size threshold and barcode information matching rules, which can be compared one by one with the goods information synchronized with the order system to determine whether there are problems such as overweight, oversized, or barcode information that does not match the order.

6. The DWS intelligent verification system for volume and weight auditing according to claim 1, characterized in that, The connection and transmission module uses an API interface to complete data synchronization, is compatible with WMS, TMS, and ERP logistics management systems, and can achieve linkage control with AGV, unmanned forklifts, and automatic sorting lines.

7. The DWS intelligent verification system for volume and weight auditing according to claim 1, characterized in that, It also includes a human-computer interaction module, which is used to display cargo collection data, verification progress, and abnormal information in real time; and to handle abnormalities, configure parameters, update rules, and export data manually.

8. The DWS intelligent verification system for volume and weight auditing according to claim 1, characterized in that, The blockchain module generates unique traceability code information, including cargo weight, volume, barcode information, verification time, circulation nodes, and operator information.

9. A volumetric weight verification method for the DWS intelligent verification system according to any one of claims 1-8, characterized in that, Includes the following steps: S1. After the goods are transported to the inspection station via the transmission line, the volume measurement module, weight detection module and reading module are used to measure and read the volume, weight and barcode information of the goods. S2. After the reading is completed, the data audit module performs volumetric weight calculation, order information matching and rule verification based on the collected information to determine whether the data meets the preset standards. S3. If the delivery criteria are met, the connection and transmission module will synchronize the verification data to the external logistics management system, triggering the subsequent sorting and outbound process; if the delivery criteria are not met, an alarm signal will be generated, an abnormal item diversion or manual review process will be executed, and evidence chain data will be retained. S4. Generate audit reports and optimize equipment parameters and logistics process configurations based on data statistics results.

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