A jewelry inventory synchronization system and method based on weight verification and multi-node sensing

Abstract

This invention discloses a jewelry inventory synchronization system and method based on weight verification and multi-node sensing, comprising a distributed sensing hardware layer, a cloud data processing and logic layer, and an enterprise application interface layer. The distributed sensing hardware layer includes intelligent storage terminals and business triggering devices. Multiple intelligent storage terminals are distributed across specific storage locations in various warehouse nodes and sales booths. Each intelligent storage terminal includes a main control and communication module using a microcontroller with integrated Wi-Fi. This invention relates to the fields of IoT, supply chain management, and data synchronization. By combining low-cost sensing devices deployed at key business nodes with the weighing process, this invention creates an objective weight-style-location data anchor point, thereby driving automatic and reliable synchronization of ERP data, achieving near-piece-level management precision for full-domain inventory visualization.

Description

Technical Field

[0001] This invention relates to the fields of Internet of Things, supply chain management and data synchronization technology, and specifically to an inventory management method and system for high-value, non-standard weight goods, which is particularly suitable for achieving automatic and accurate synchronization of physical inventory and inventory data in electronic information systems under a style aggregation management mode. Background Technology

[0002] In the jewelry industry, especially in the wholesale and distribution of gold jewelry, inventory management has long faced a core contradiction: the trade-off between "management granularity" and "cost." Existing technologies mainly suffer from the following dilemmas:

[0003] 1. The contradiction between management granularity and cost: Traditional single-item RFID management solutions cannot be implemented in terms of economic efficiency and physical feasibility because the tag cost is too high (accounting for more than 30% of the labor cost of a single item) and it is not suitable for micro-trinkets (such as 0.02-0.04 grams).

[0004] 2. Lack of data credibility: Traditional style aggregation management or manual data entry in ERP lacks objective and automatic physical data verification, resulting in a serious disconnect between digital inventory records and physical inventory status, a high error rate, and an inability to meet the requirements of high-value goods for accurate measurement (e.g., single deviation must be ≤0.02 grams).

[0005] 3. Disruption of process automation: The increase and decrease of inventory depend on the switching and verification between physical operations (weighing, handling) and digital systems (ERP operations) by human staff. The process is fragmented, inefficient and prone to errors.

[0006] The existing management model is essentially an experience-based process of "manual bridging + discrete system". Its fundamental flaw is that there is a lack of an objective, automatic, low-cost and high-precision "synchronization anchor" between the physical entity and the digital mirror, which makes it impossible for the digital world to reflect the real state of the physical world in real time and reliably, resulting in "muddled inventory accounts".

[0007] Therefore, improvements are needed to address the existing problems. Summary of the Invention

[0008] In response to the above situation and to overcome the current technical deficiencies, this invention provides a jewelry inventory synchronization system and method based on weight verification and multi-node sensing. The purpose of this method is to create an objective "weight-style-location" data anchor point by combining low-cost sensing devices deployed at key business nodes with the weighing process, without changing the industry's "style aggregation" management habits. This anchor point drives the automatic and reliable synchronization of ERP data, thereby achieving near-single-item management precision for full-domain inventory visualization.

[0009] The technical solution adopted by this invention is as follows: This solution provides a jewelry inventory synchronization system based on weight verification and multi-node perception, including a distributed perception hardware layer, a cloud data processing and logic layer, and an enterprise application interface layer;

[0010] The distributed sensing hardware layer includes a storage intelligent terminal and a service triggering device:

[0011] The intelligent storage terminal is provided in multiple units and is distributed across specific storage locations in various warehousing nodes and sales booths. Each intelligent storage terminal includes: a main control and communication module, which uses a microcontroller with integrated Wi-Fi; a near-field identity sensing module, which uses an RFID reader with a reading distance strictly limited to 3-5 cm to identify RFID tags bound to dedicated containers or pallets; and a local information display module, which displays the real-time inventory status of the storage location as sent from the cloud.

[0012] The business triggering devices are provided in multiple sets and deployed at key business locations; each set of the business triggering devices includes a high-precision electronic scale (accuracy not less than 0.001g) and a style barcode scanner.

[0013] The cloud-based data processing and logic layer includes a synchronization engine, a data storage and management module, and a core algorithm module.

[0014] The synchronization engine is responsible for real-time data communication with all devices in the distributed sensing hardware layer.

[0015] The data storage and management module is used to store style master data, business records, and equipment information;

[0016] The core algorithm module integrates the following algorithms:

[0017] The net weight calculation and synchronization algorithm unit is used to perform net gold weight calculation based on standard tare weight data for a single item.

[0018] Net weight = Gross weight - (Standard tare weight per piece × Number of pieces operated) and drive data synchronization;

[0019] The multi-node weight traceability and status transfer algorithm unit is used for reliable and automatic transfer and verification of inventory status changes based on weight consistency between logistics nodes;

[0020] The weight-style binding business process state machine algorithm unit is used to define and drive the automated advancement and error prevention control of the business process with the weighing verification result as a mandatory switch.

[0021] The enterprise application interface layer includes: an ERP / WMS interface module and a multi-terminal visualization module.

[0022] The ERP / WMS interface module is used to automatically synchronize the verified inventory change results to the enterprise's ERP or warehouse management system.

[0023] The multi-terminal visualization module provides a unified, real-time, and reliable inventory data query and display service for the web backend and mobile applications.

[0024] Furthermore, the storage location intelligent terminal and the service triggering device are connected to the cloud data processing and logic layer via a wireless network.

[0025] Furthermore, the cloud data processing and logic layer is connected to external enterprise information systems through the enterprise application interface layer.

[0026] This invention provides a jewelry inventory synchronization method based on weight verification and multi-node awareness, applied to the aforementioned system, comprising the following steps:

[0027] S1. Hardware network deployment and initialization: Deploy smart storage terminals at each shelf location in the warehouse; fix high-precision electronic scales and style barcode scanners at key business locations in the inbound, outbound, and inventory areas to form a business triggering device group; all devices are connected to the cloud system via wireless network.

[0028] S2. Business Triggering and Weight Data Anchoring: When a business operation involving inventory changes occurs, the operator performs a forced weighing operation on the goods and scans the style barcode at the business triggering device group; the system obtains the actual gross weight value, style code, operation quantity, business order number and time of this operation, forming an initial data packet.

[0029] S3. Net weight calculation and data cleaning: The cloud system queries the preset standard tare weight data of a single piece for the style based on the style code; executes the net weight calculation algorithm: Net weight = Gross weight - (Standard tare weight per piece × Number of pieces operated), and generates reliable data atoms containing gross weight, net weight, style, and quantity.

[0030] S4. Multi-node weight traceability and status verification: If the current business is outbound, the system generates an outbound record containing the "fingerprint weight" of this outbound; if the current business is inbound, the system automatically finds and locks the incomplete expected inbound record from the upstream node; the reset obtained by the actual weighing of this inbound is compared with the "fingerprint weight" of the upstream record to determine whether the deviation is within the preset threshold; if the verification passes, the reliable transmission of inventory status is completed.

[0031] S5. Business Process State Machine Driven and Automatic Synchronization: After the verification of step S3 or S4 is passed, the system's built-in business process state machine automatically triggers subsequent actions: synchronizing the verified business data to the enterprise ERP or WMS system and updating the digital inventory records; at the same time, issuing instructions to the smart terminals of the relevant storage locations to update the inventory status displayed on their local information display units.

[0032] S6. Full-Domain Inventory Visualization: The online store, other warehouse nodes, or management backend can obtain and display verified inventory data that is uniformly maintained by the cloud system in real time, realizing real-time, consistent, and reliable visualization of the inventory status across all channels.

[0033] Furthermore, in step S4, the preset threshold is set to ≤0.02 grams according to industry metrology requirements.

[0034] Furthermore, the reading distance of the RFID reader in the intelligent storage terminal is strictly limited to 3-5 centimeters to achieve precise spatial binding between the storage location and the goods, and to prevent crosstalk between adjacent locations.

[0035] The beneficial effects achieved by the present invention using the above structure are as follows:

[0036] 1. The hardware cost of a single storage node is controllable. It can be wirelessly networked via Wi-Fi without the need for complex wiring, making large-scale deployment economically possible and disrupting the cost structure of traditional solutions.

[0037] 2. By using high-precision electronic scales for measurement and a net weight calculation algorithm based on standard tare weight, the inventory management error is precisely controlled within the industry requirement of 0.02 grams, realizing a management paradigm shift from "fuzzy aggregation" to "precise and traceable aggregation".

[0038] 3. The discrete breakpoint process that relies on manual intervention is transformed into a continuous closed-loop process driven by automatic verification of objective weight data. According to tests, this can improve inventory efficiency by more than 10 times, reduce manual intervention in inbound and outbound operations by 90%, and fundamentally eliminate the problem of "discrepancies between accounts and actual inventory".

[0039] 4. It provides a unified and reliable inventory data synchronization infrastructure, enabling advanced applications such as "online and offline inventory management" to be implemented economically and reliably, thus empowering the development of the industrial internet. Attached Figure Description

[0040] 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:

[0041] Figure 1 This is a system hardware network topology diagram according to an embodiment of the present invention;

[0042] Figure 2 This is a core business process diagram of an embodiment of the present invention;

[0043] Figure 3 This is a structural block diagram of a smart storage terminal device according to an embodiment of the present invention. Detailed Implementation

[0044] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0045] It should be noted that the terms “front,” “back,” “left,” “right,” “up,” and “down” used in the following description refer to the directions shown in the attached diagram, while the terms “inside” and “outside” refer to the directions toward or away from the geometric center of a specific component, respectively.

[0046] The technical solution adopted in this invention is as follows: Example: Inventory synchronization achieved through multi-layered technical architecture collaboration

[0047] This embodiment aims to illustrate the technical implementation of the four-layer collaboration of the hardware layer, data layer, logic layer, and application layer of the present invention through a continuous scenario of "style warehousing - sales outbound - inventory". It clearly demonstrates how to drive full-process automated synchronization through the core anchor point of "weight".

[0048] Hardware layer deployment and initialization

[0049] like Figure 1 and Figure 3 As shown, the system is deployed in the "Brilliant Jewelry" wholesale center warehouse.

[0050] Intelligent storage terminal: A self-developed integrated terminal is deployed below each storage location on the shelving (e.g., "Area A-01 Row-03"). Its core components include:

[0051] Main control and communication unit: It adopts an ESP32-C3 microcontroller with an integrated Wi-Fi module, which is responsible for device control and cloud communication.

[0052] Near-field identification unit: Employing a PN532 type 13.56MHz RFID reader, its reading distance is strictly limited to 3-5 cm through a customized antenna design. This design ensures that the terminal can only identify dedicated trays with unique ID high-frequency RFID tags placed in this storage location, achieving accurate "one tag, one tag" binding and effectively preventing cross-reading between adjacent storage locations.

[0053] Local information display unit: Integrates a 1.8-inch LCD screen to display real-time inventory status sent from the cloud. Cost control: After integrating the above components, the hardware cost of a single terminal can be controlled within 30 RMB, enabling low-cost, large-scale deployment.

[0054] Business triggering device group: Fixed deployment in the warehouse's receiving and acceptance area and outbound packaging area.

[0055] High-precision electronic scale: with an accuracy of 0.001g, used to obtain objective weight data at critical business nodes.

[0056] Style barcode scanner: Used for quickly identifying product style codes. All devices connect directly to the cloud via Wi-Fi, eliminating the need for complex wiring and achieving "plug and play".

[0057] To make the implementation method more specific and feasible, the list of key equipment used in the deployment of this system is as follows:

[0058]

[0059] Data Layer: Establishing Weight Anchors and Data Fusion (Taking Inbound Data as an Example)

[0060] Operation: The warehouse clerk received a batch of 50 items with the style code "SKU-G-2024-Dragon Pattern Bracelet". He placed the special pallet containing the goods (affixed with RFID tag Tag-A01-03) on the electronic scale in the receiving area.

[0061] Mandatory weighing and data binding: The warehouse manager uses a barcode scanner to scan the style barcode (SKU-G-2024-Dragon Pattern Bracelet) on the outer box of this batch of goods.

[0062] The system will execute automatically:

[0063] The electronic scale shows the actual gross weight as 2010.55g.

[0064] The system generates an inbound business order number: IN-20241105-001.

[0065] The weight (2010.55g), style code (SKU-G-2024-Dragon Pattern Bracelet), order number, timestamp, and target storage location (Area A-01 row-03 position) are strongly bound together to form an initial "data atom" and uploaded to the cloud. This step establishes the core data anchor point for this transaction in the physical world.

[0066] Logic Layer: Core Algorithm-Driven Business Automation. After the cloud system receives the atomic data, the core algorithm modules are activated sequentially:

[0067] Algorithm 1 execution (net weight calculation and synchronization algorithm):

[0068] # Input: Gross weight (gross_weight=2010.55), Style code (style_code='SKU-G-2024-Dragon Pattern Bracelet'), Quantity (quantity=50)

[0069] # Step 1: Query the style master data to obtain the standard tare weight (including packaging) of a single piece.

[0070] standard_tare = get_tare_from_master_data('SKU-G-2024-Dragon Pattern Bracelet') # For example, the query result is 5.02g / piece

[0071] # Step 2: Calculate net weight

[0072] net_gold_weight = gross_weight - (standard_tare×quantity) # 2010.55- (5.02×50) = 1759.55g

[0073] # Step 3: Generate trusted data records to prepare for driver synchronization

[0074] This algorithm transforms physical measurements into business data with direct economic significance, eliminating errors from manual estimation.

[0075] Algorithm 2 execution (multi-node weight traceability and status transfer algorithm): Since it is a source entry into the warehouse, the algorithm generates an entry record Record_IN with a "fingerprint weight" (gross weight 2010.55g, net weight 1759.55g) for this batch of goods and marks it as "in stock". The system's preset allowable deviation threshold is ≤0.02 grams, which comes from the industry's precision requirements for measuring high-value jewelry. When this batch of goods needs to be transferred out of the warehouse to node B in the future, the "fingerprint weight" in Record_IN will be compared and verified as the expected weight for entry and acceptance at node B, thereby transferring trust between nodes. The verification result is divided into two types: if the deviation is within the threshold, the system automatically completes status transfer and data synchronization; if the deviation exceeds the threshold, the system immediately locks the current business process, triggers an audible and visual alarm, and notifies management personnel to intervene and verify, forming a mandatory error prevention closed loop.

[0076] Algorithm 3 Execution (Weight-Style Bound Business Process State Machine Algorithm): The algorithm defines a state machine with weighing verification as a mandatory switch to control the "sales and outbound" process.

[0077] Status 0 (Initial): The ERP system generates a sales order for 30 pieces of SKU-G-2024-Dragon Pattern Bracelets.

[0078] Status 1 (Ready): The system guides the operator to storage location "Area A-01 Row-03". The LCD screen of the smart terminal at this storage location lights up and displays "Pending Outbound: 30 pieces".

[0079] Status 2 (Pending Verification): After the operator retrieves the goods from this storage location, they must proceed to the business triggering equipment group in the outbound area for weighing. The operator places the goods on the electronic scale and scans the style code to obtain the actual outbound gross weight of 1200.32g.

[0080] State 3 (Decision): The state machine calls Algorithm 1 to calculate the actual net weight and compares it with the expected weight calculated by the system based on the outbound order (30 pieces) and the standard tare weight.

[0081] If the verification passes (error within the threshold): the state machine automatically triggers subsequent actions: the ERP outbound order status is updated to "Completed", inventory data is deducted, and the process ends. Simultaneously, a command is sent to the original storage terminal to update the screen display.

[0082] If the verification fails: the system immediately locks the outbound order, issues an audible and visual alarm, and prevents the process from continuing, thereby fundamentally eliminating the "discrepancy between the records and the actual goods".

[0083] After the above outbound process is completed, if the same batch of goods is subsequently ordered again through online e-commerce channels, the system will repeat the intelligent picking, weighing verification, and automatic synchronization process. Online orders drive the fulfillment of the same physical inventory offline, ensuring the uniqueness and real-time nature of online and offline inventory status. This completely solves the problems of overselling and data inconsistency caused by "two inventory systems" in the traditional model, achieving true "one inventory system" management.

[0084] Application Layer: Industry Solution Encapsulation encapsulates the above three layers of technical capabilities into a ready-to-use solution.

[0085] Factory Finished Goods Warehousing Solution: Deploy business triggering equipment groups at the end of the production line to replace "purchase orders" with "production work orders" to achieve automatic and accurate warehousing registration after products come off the production line.

[0086] Wholesale warehousing and distribution solution: as demonstrated in this embodiment, it handles high-frequency, bulk inbound, outbound, and transfer operations.

[0087] Chain retail inventory management solution: Deploy smart storage terminals in store display cases, combined with handheld mobile weighing devices, to enable headquarters to remotely, in real time, and reliably visualize and count the inventory of distributed stores.

[0088] Through the systematic demonstration in this embodiment, the beneficial effects of the present invention are clear:

[0089] A balance between cost and precision: With extremely low-cost hardware costing approximately 30 yuan per storage unit, and through weight anchoring and algorithm verification, management precision of ≤0.02 grams has been achieved, a level previously only attainable through expensive, single-unit management, breaking the industry's "impossible triangle."

[0090] Process automation and error prevention: The discrete process that relies on manual input and verification is transformed into a continuous closed loop driven by automatic verification of objective weight data. According to actual tests, inventory efficiency can be improved by more than 10 times and manual intervention in inbound and outbound operations can be reduced by 90%.

[0091] Building a systemic barrier: Any solution attempting to achieve equivalent industry results (low cost, high precision, automation) must employ similar integrated low-cost terminals, establish weight as the data anchor, implement traceability verification based on weight comparison, and design a business state machine with weighing verification as a mandatory switch. This multi-layered, strongly coupled technological ecosystem built by the present invention forms a solid patent protection barrier.

[0092] To more intuitively demonstrate the industrial transformation brought about by this invention, the following uses quantitative comparative data to illustrate its beneficial effects:

[0093]

[0094] Conclusion: This embodiment demonstrates that the present invention is not an isolated inventory management tool, but a digital trust infrastructure that can profoundly reshape the operating model of the jewelry wholesale industry. It fundamentally solves the problem of the separation between online and offline inventory, making online-offline integration a readily available and efficient daily practice for businesses of any size, rather than an expensive and complex concept.

[0095] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, material, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, material, or apparatus.

[0096] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A jewelry inventory synchronization system based on weight verification and multi-node awareness, characterized by: It includes a distributed sensing hardware layer, a cloud data processing and logic layer, and an enterprise application interface layer. The distributed sensing hardware layer includes intelligent storage terminals and business triggering devices. Multiple intelligent storage terminals are distributed and deployed at specific storage locations in various warehouse nodes and sales booths. Each intelligent storage terminal includes: a main control and communication module, which uses a microcontroller with integrated Wi-Fi; a near-field identity sensing module, which uses an RFID reader to identify RFID tags bound to dedicated containers or pallets; and a local information display module, which displays the real-time inventory status of the storage location as sent from the cloud. The business triggering devices are provided in multiple sets and deployed at key business locations; each set of the business triggering devices includes a high-precision electronic scale and a style barcode scanner. The cloud-based data processing and logic layer includes a synchronization engine, a data storage and management module, and a core algorithm module. The synchronization engine is responsible for real-time data communication with all devices in the distributed sensing hardware layer. The data storage and management module is used to store style master data, business records, and equipment information; The core algorithm module integrates the following algorithms: The net weight calculation and synchronization algorithm unit is used to perform net gold weight calculation based on standard tare weight data for a single item. Net weight = Gross weight - (Standard tare weight per piece × Number of pieces operated) and drive data synchronization; The multi-node weight traceability and status transfer algorithm unit is used for reliable and automatic transfer and verification of inventory status changes based on weight consistency between logistics nodes; The weight-style binding business process state machine algorithm unit is used to define and drive the automated advancement and error prevention control of the business process with the weighing verification result as a mandatory switch. The enterprise application interface layer includes: an ERP / WMS interface module and a multi-terminal visualization module. The ERP / WMS interface module is used to automatically synchronize the verified inventory change results to the enterprise's ERP or warehouse management system. The multi-terminal visualization module provides a unified, real-time, and reliable inventory data query and display service for the web backend and mobile applications.

2. The jewelry inventory synchronization system based on weight verification and multi-node sensing according to claim 1, characterized in that: The intelligent storage terminal and service triggering device are connected to the cloud data processing and logic layer via a wireless network.

3. A jewelry inventory synchronization system based on weight verification and multi-node sensing according to claim 1, characterized in that: The cloud data processing and logic layer connects to external enterprise information systems through the enterprise application interface layer.

4. The jewelry inventory synchronization method based on weight verification and multi-node perception according to claim 1, characterized in that: The RFID reader in the intelligent storage terminal has a reading distance of 3-5 centimeters.

5. A jewelry inventory synchronization method based on weight verification and multi-node sensing, as described in any one of claims 1 to 3, characterized in that, Includes the following steps: S1. Hardware network deployment and initialization: Deploy smart storage terminals at each shelf location in the warehouse; fix high-precision electronic scales and style barcode scanners at key business locations in the inbound, outbound, and inventory areas to form a business triggering device group; all devices are connected to the cloud system via a wireless network. S2. Business Triggering and Weight Data Anchoring: When a business operation involving inventory changes occurs, the operator performs a forced weighing operation on the goods and scans the style barcode at the business triggering device group; the system obtains the actual gross weight value, style code, operation quantity, business order number and time of this operation, forming an initial data packet; S3. Net weight calculation and data cleaning: The cloud system queries the preset standard tare weight data of a single piece for the style based on the style code; executes the net weight calculation algorithm: Net weight = Gross weight - (Standard tare weight per piece × Number of pieces operated), and generates reliable data atoms containing gross weight, net weight, style, and quantity. S4. Multi-node weight traceability and status verification: If the current business is outbound, the system generates an outbound record containing the "fingerprint weight" of this outbound; if the current business is inbound, the system automatically finds and locks the incomplete expected inbound record from the upstream node; the reset obtained by the actual weighing of this inbound is compared with the "fingerprint weight" of the upstream record to determine whether the deviation is within the preset threshold. If the verification passes, the reliable transmission of inventory status is complete; S5. Business Process State Machine Driven and Automatic Synchronization: After the verification of step S3 or S4 is passed, the system's built-in business process state machine automatically triggers subsequent actions: synchronizing the verified business data to the enterprise ERP or WMS system and updating the digital inventory records; at the same time, issuing instructions to the smart terminals of the relevant storage locations to update the inventory status displayed on their local information display units. 6.S6, Full-Domain Inventory Visualization: The online store, other warehouse nodes, or management backend obtain and display in real time the verified inventory data maintained uniformly by the cloud system, realizing real-time, consistent, and reliable visualization of the inventory status across all channels.

7. A jewelry inventory synchronization method based on weight verification and multi-node perception according to claim 4, characterized in that: In step S4, the preset threshold is set to ≤0.02 grams according to industry metrology requirements.

8. A jewelry inventory synchronization method based on weight verification and multi-node perception according to claim 4, characterized in that: In step S4, if the weight deviation exceeds the preset threshold, the system immediately locks the current business process, triggers an alarm, and notifies the management personnel to intervene and verify.

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