Traceable intelligent weighing system and method

Abstract

The invention discloses a traceable intelligent weighing system and method, and relates to the technical field of weighing equipment. The system comprises a weight acquisition module, a data analysis module, a service logic module, an HTTP server module, a 5G communication module and a mobile terminal, the system acquires effective data only when weighing is stable by automatically analyzing a state identification bit in an electronic scale data frame, and manual misjudgment is avoided; and the specific scale body is bound by scanning the equipment identification code, so that accurate traceability is realized. According to the invention, full automation of the weighing process is realized, personal errors are avoided, and the accuracy, traceability and intelligent level of the batching link are significantly improved.

Description

Technical Field

[0001] This invention relates to the field of weighing equipment technology, and in particular to a traceable intelligent weighing system and method. Background Technology

[0002] Weighing technology is a crucial link in industrial production and logistics management, and its accuracy and reliability directly affect product quality and operational efficiency. With the development of wireless communication and intelligent technologies, weighing systems are constantly evolving towards automation, remote operation, and intelligence.

[0003] For example, Chinese invention patent CN118310610A (publication date: July 9, 2024) discloses an unattended weighing system for 5G-based intelligent warehousing and transfer. It includes a weighing module and a weighing protection module, with the weighing protection module positioned before the weighing module. The weighing protection module automatically protects the weighing module when the weight of the vehicle to be weighed exceeds the upper limit of the weighing module's weighing range. The weighing protection module includes a first monitoring area and a second monitoring area, with the first monitoring area positioned before the second monitoring area. The first monitoring area uses a visual recognition camera to pre-estimate the total weight of the vehicle and issue an execution command. The second monitoring area, through the cooperation of a first hydraulic system and a second hydraulic system, determines whether the vehicle is overweight and issues an execution command. This application, by setting two monitoring areas, judges the total weight of the vehicle before it is weighed, preventing overweight vehicles from being weighed, thereby protecting the sensor elastic body in the weighing module.

[0004] Chinese invention patent CN120573599A (publication date: September 2, 2025) discloses a crane weighing device related technical field, specifically an intelligent weighing system for crane grab buckets. This system includes a grab bucket, a six-dimensional force sensor, an inertial measurement unit (IMU), a lidar, and a data processing unit. The six-dimensional force sensor measures the weight of the material in the grab bucket in real time. The IMU dynamically compensates for motion interference experienced by the grab bucket. The lidar measures the material volume and detects the grab bucket's position and attitude. The data processing unit integrates data processing algorithms to achieve data fusion and weight calculation from the six-dimensional force sensor, IMU, and lidar. The coordinated operation of the IMU and the six-dimensional force sensor eliminates the influence of grab bucket movement on weight measurement, supporting dynamic weighing. The lidar provides material distribution information, preventing errors caused by uneven density or grab bucket center of gravity shift, thus improving the accuracy, speed, and stability of the weighing process.

[0005] Existing intelligent weighing systems, designed for fixed locations or large equipment, cannot meet the flexible, mobile, and high-frequency batching and weighing needs of discrete manufacturing workshops. They also pose a risk of errors due to the collection of dynamically unstable data. Furthermore, the weighing data cannot be automatically, accurately, and traceably integrated into the production process, hindering precise quality traceability. Therefore, there is an urgent need for an intelligent weighing solution that combines reliable data, process traceability, and multiple error-proofing verification technologies. Summary of the Invention

[0006] To address the shortcomings of existing technologies, this invention provides a traceable intelligent weighing system, comprising: a weight acquisition module, a data parsing module, an HTTP server module, a business logic module, a 5G communication module, and a mobile terminal. The weight acquisition module is used to acquire the raw weighing data of the electronic scale and perform protocol conversion; The data parsing module is communicatively connected to the weight acquisition module and is used to receive and parse the data frame after protocol conversion, and extract the status flag bit, weight value and unit information. The HTTP server module is connected to the data parsing module and is used to provide a RESTful interface; The business logic module is located on the server side and communicates with the HTTP server module. It is used to determine whether the weighing data is in a stable state based on the status flag bit, and only allows the data to be recorded and reported in a stable state. The 5G communication module is used to enable high-speed, low-latency data transmission between various modules of the system and remote servers and mobile terminals; The mobile terminal is used to scan the device identification code of the electronic scale to bind the device information and obtain the valid weighing data determined by the business logic module.

[0007] Furthermore, the weight acquisition module includes an electronic scale, a protocol conversion module, a data frame receiving module, and a memory cache module; The protocol conversion module is communicatively connected to the electronic scale and is used to convert the RS232 serial communication protocol of the electronic scale into the TCP / IP protocol. The data frame receiving module is connected to the protocol conversion module and is used to receive data frames; The memory cache module is connected to the data frame receiving module and is used for temporary data storage.

[0008] Furthermore, the electronic scale is equipped with a unique device identification code, and the mobile terminal binds the device by scanning the identification code, so that each weighing record is accurately associated with the specific scale used.

[0009] Furthermore, the electronic scale is equipped with a lithium battery, enabling the scale to be moved and used within the workshop.

[0010] Furthermore, the status flag includes one or more of the following states: stable, unstable, overweight, and others.

[0011] Furthermore, the HTTP server module supports external systems in requesting and obtaining the current weighing data via the HTTP protocol.

[0012] Furthermore, the business logic module is also used to respond to the business requests of the mobile terminal and push structured data to the mobile terminal.

[0013] Furthermore, the business logic module is used to bind the scanned device identification code with the current stable weighing data.

[0014] This application also provides a traceable intelligent weighing method, comprising the following steps: Step S1: Weigh the item using an electronic scale and output a data frame containing a status flag, weight value, and unit. Step S2: Convert the RS232 serial communication protocol of the electronic scale to TCP / IP protocol using the protocol conversion module; Step S3: Receive and parse the data frame through the data parsing module, and extract the status flag, weight value and unit; Step S4: Determine whether the status flag is in a stable state through the business logic module; Step S5: If the state is stable, the weight value and unit of the weighing are considered valid data and are allowed to be recorded and reported; if the state is unstable, the weighing data is deemed invalid and rejected for entry. Step S6: Scan the device identification code of the electronic scale using a mobile terminal; Step S7: Bind the scanned device identification code to the current stable weighing data through the business logic module; Step S8: Send the valid weighing data to the mobile terminal via the 5G communication network. After the operator confirms the data, the reporting process is completed.

[0015] Furthermore, while recording valid weighing data, a high-precision timestamp is bound to it and synchronized with the workshop monitoring system, enabling operators to retrieve the corresponding operation monitoring video based on that time point.

[0016] Furthermore, in practical applications, manual verification can be added to ensure the reliability and accuracy of the data.

[0017] Compared with existing technologies, the advantages and effects of this application are as follows: 1. The intelligent weighing system provided in this application, structurally, automatically parses and determines the status flag bits in the electronic scale's data frames through a business logic module, constructing an automatic data validity judgment mechanism and realizing fully automatic acquisition and judgment of weighing data. This method, by setting the rule of "only recording data as valid values ​​into the system under stable conditions," completely avoids data distortion caused by human misreading or subjective judgment errors, ensuring the accuracy of ingredient weights from the source.

[0018] 2. The intelligent weighing method provided in this application combines equipment identification binding and timestamp technology, associating the equipment identification code obtained by scanning with a mobile terminal, valid weighing data, work order information, material information, and high-precision timestamps, so that each piece of data has complete traceability information. In the event of product quality abnormalities, the problematic weighing device can be located, and workshop monitoring videos can be accurately retrieved based on the timestamp to quickly reconstruct the operation scene and determine the cause of the problem.

[0019] 3. This application, through the collaborative design of system structure and control process, forms a systematic multi-layered error prevention and protection mechanism. It prevents the input of unstable data through automatic status judgment; prevents data from being incorrectly associated with the weighing body through device binding; and further verifies the data through manual review, thereby enhancing the reliability and safety of the entire batching process.

[0020] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the preferred embodiments of this application are described in detail below with reference to the accompanying drawings.

[0021] The above and other objects, advantages and features of this application will become more apparent to those skilled in the art from the following detailed description of specific embodiments in conjunction with the accompanying drawings. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. In all drawings, similar elements or parts are generally identified by similar reference numerals. The elements or parts in the drawings are not necessarily drawn to scale.

[0023] in: Figure 1 This is a schematic diagram of a traceable intelligent weighing system. Figure 2This is a flowchart of a traceable intelligent weighing method; Figure 3 This is an overall schematic diagram of a traceable smart weighing scale, where a represents the installation location of the 5G communication module and protocol conversion gateway; and b represents the installation location of the lithium battery. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. In the following description, specific details such as specific configurations and components are provided merely to help fully understand the embodiments of this application. Therefore, those skilled in the art should understand that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this application. In addition, for clarity and brevity, descriptions of known functions and structures are omitted in the embodiments.

[0025] It should be understood that the phrase "an embodiment" or "this embodiment" throughout the specification means that a specific feature, structure, or characteristic related to the embodiment is included in at least one embodiment of this application. Therefore, "an embodiment" or "this embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. Furthermore, these specific features, structures, or characteristics can be combined in any suitable manner in one or more embodiments.

[0026] Furthermore, reference numerals and / or letters may be repeated in different examples within this application. Such repetition is for the purpose of simplification and clarity and does not in itself indicate a relationship between the various embodiments and / or settings discussed.

[0027] In this article, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can mean: A exists alone, B exists alone, and A and B exist simultaneously. The term " / and" describes another type of relationship between related objects, indicating that two relationships can exist. For example, A / and B can mean: A exists alone, and A and B exist alone. In addition, the character " / " in this article generally indicates that the related objects before and after it have an "or" relationship.

[0028] In this article, the term "at least one" is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, "at least one of A and B" can mean: A exists alone, A and B exist simultaneously, or B exists alone.

[0029] It should also 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.

[0030] Example 1 This embodiment describes a traceable intelligent weighing system; its flowchart is attached. Figure 1 .

[0031] A traceable intelligent weighing system includes: a weight acquisition module, a data parsing module, an HTTP server module, a business logic module, a 5G communication module, and a mobile terminal; The weight acquisition module is used to acquire the raw weighing data of the electronic scale and perform protocol conversion; The data parsing module is communicatively connected to the weight acquisition module and is used to receive and parse the data frame after protocol conversion, and extract the status flag bit, weight value and unit information. The HTTP server module is connected to the data parsing module and is used to provide a RESTful interface; The business logic module is located on the server side and communicates with the HTTP server module. It determines whether the weighing data is in a stable state based on the status flag and generates valid weighing data only in a stable state. The 5G communication module is used to enable high-speed, low-latency data transmission between various modules of the system and remote servers and mobile terminals; The mobile terminal is a PDA terminal device that scans the device identification code of the electronic scale to bind the device information, interacts with the MES system, obtains valid weighing data determined by the business logic module from the server, and submits it to the Manufacturing Execution System (MES).

[0032] Furthermore, the weight acquisition module includes an electronic scale, a protocol conversion module, a data frame receiving module, and a memory cache module; The protocol conversion module is communicatively connected to the electronic scale and is used to convert the RS232 serial communication protocol of the electronic scale into the TCP / IP protocol. The data frame receiving module is connected to the protocol conversion module and is used to receive data frames; The memory cache module is connected to the data frame receiving module and is used for temporary data storage.

[0033] Furthermore, the electronic scale is equipped with a unique device identification code, and the mobile terminal binds the device by scanning the identification code, so that each weighing record is accurately associated with the specific scale used.

[0034] Furthermore, the electronic scale is equipped with a lithium battery, enabling the scale to be moved and used within the workshop.

[0035] Furthermore, the status flag includes one or more of the following states: stable, unstable, overweight, and others.

[0036] Furthermore, the HTTP server module supports external systems in requesting and obtaining the current weighing data via the HTTP protocol.

[0037] Furthermore, the business logic module is also used to respond to the business requests of the mobile terminal and push structured data to the mobile terminal.

[0038] Furthermore, the business logic module is used to bind the scanned device identification code with the current stable weighing data.

[0039] Furthermore, the business logic module is the MESPDA service module.

[0040] The technical effects achieved in this embodiment are as follows: The system described in this embodiment achieves automatic parsing and status judgment of electronic scale data frames through the collaboration of weight acquisition, data parsing and business logic modules, avoiding data distortion caused by human misreading or input errors during the dynamic weighing stage; at the same time, the system uses 5G communication and device identification binding technology to ensure that the weighing data can be accurately traced back to the specific scale body, thus constructing an intelligent weighing solution with accurate data, traceability, and high integration.

[0041] Example 2 Based on Example 1, this example further introduces a traceable intelligent weighing method.

[0042] A traceable intelligent weighing method includes the following steps: Step S1: Weigh the item using an electronic scale and output a data frame containing a status flag, weight value, and unit. Step S2: Convert the RS232 serial communication protocol of the electronic scale to TCP / IP protocol using the protocol conversion module; Step S3: Receive and parse the data frame through the data parsing module, and extract the status flag, weight value and unit; Step S4: Determine whether the status flag is in a stable state through the business logic module; Step S5: If the state is stable, the weight value and unit of the weighing are considered valid data and are allowed to be recorded and reported; if the state is unstable, the weighing data is deemed invalid and rejected for entry. Step S6: Scan the device identification code of the electronic scale using a mobile terminal; Step S7: Bind the scanned device identification code to the current stable weighing data through the business logic module; Step S8: Send the valid weighing data to the mobile terminal via the 5G communication network and submit it to the MES system to complete the work report.

[0043] Furthermore, while recording valid weighing data, a high-precision timestamp is bound to it and synchronized with the workshop monitoring system, enabling operators to retrieve the corresponding operation monitoring video based on that time point.

[0044] The technical effect achieved by this embodiment is that the method described in this embodiment realizes full automation of the process from weighing, protocol conversion, data parsing to status judgment and equipment binding through process-oriented steps, completely avoiding human input errors; and by introducing high-precision timestamps and linking with video monitoring systems, any batching operation can be quickly traced back and visually verified, thereby improving the efficiency and standardization of work reporting while achieving accurate traceability of quality problems.

[0045] Example 3 Based on Examples 1 and 2, this example introduces the application of a traceable intelligent weighing method in the production and batching of thermal paste. Please refer to the appendix. Figure 2 Please refer to the appendix for specific products. Figure 3 In the diagram, the 5G gateway is a 5G communication module; the protocol conversion gateway is a protocol conversion module.

[0046] The specific steps of this intelligent weighing method are as follows: Step S1, System Startup and Task Preparation: The operator uses a handheld mobile terminal (PDA) to access the system via the factory's 5G network. The operator opens the MES application on the PDA and enters the "Production Station Reporting" function module.

[0047] Step S2: Binding Work Orders and Material Information: The operator uses a PDA's barcode scanner to first scan the barcode of the production work order. The system associates the subsequent weighing operation with a specific production task by scanning the work order code. Then, the operator scans the material barcode of the raw material to be weighed. The system records the material type and retrieves the corresponding production formula for the work order, providing a basis for subsequent weight determination.

[0048] Step S3, Weighing Equipment Binding: The operator uses a PDA to scan the unique QR code affixed to the electronic scale. After successful scanning, the system binds the electronic scale's equipment identification code to the current weighing task, ensuring the traceability of the data source.

[0049] Step S4, Manual Feeding and Preliminary Observation: The operator feeds the raw materials onto the pre-attached electronic scale according to the formula requirements. During this process, the operator can observe the digital display screen on the electronic scale to get a general idea of ​​the material's weight and make a preliminary assessment.

[0050] Step S5: Automatic System Reading and Status Judgment: After the feeding stabilizes, the operator clicks the "Read Weight" button on the PDA application. This instruction is sent to the server-side business logic module via the 5G network. This module performs the following core operations: The system obtains real-time data frames transmitted from the electronic scale after protocol conversion through the data parsing module; it parses the status flag bits in the data frames and determines whether they are in a "stable" state. If the state is "stable", the system automatically extracts the weight value and unit from the data frame and displays this data as valid data on the PDA interface. The entire process does not require manual input, thus fundamentally avoiding input errors. If the state is "unstable" or "overweight", the system will prompt "Weight not stable, please wait" or "Overweight warning" on the PDA and refuse to record the data.

[0051] Step S6, Data Submission and Double Confirmation: After confirming the weight displayed on the PDA is correct, the operator clicks the "Submit Data" button. The system automatically reads the current stable weight value again and packages the weight data, unit, equipment identification code, material information, work order information, and high-precision timestamp into a complete work report. Subsequently, the on-site quality control (QC) personnel use their PDAs to scan the same work order code to confirm the data. This dual confirmation mechanism, combining system and manual verification, greatly improves the reliability of critical batching processes.

[0052] Step S7, Data Traceability: All data is stored in real time to the server database via the 5G network. If quality issues are subsequently discovered in this batch of products, the ingredient record can be quickly located through a database query. The bound equipment identification code can then be used to trace back to the specific electronic scale, and its high-precision timestamp can be used to accurately retrieve the corresponding time period video from the workshop monitoring system, achieving full-chain visual traceability.

[0053] The technical effects achieved in this embodiment are as follows: This embodiment fully demonstrates how the present invention integrates 5G communication, automatic status identification, device binding and manual operation processes, eliminating human reading and input errors. Through powerful binding and traceability capabilities, it provides a solid data foundation for production quality management and improves the automation level and quality controllability of the batching process.

[0054] The above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any equivalent substitutions, structural improvements, adjustments to the functional implementation methods, as well as reasonable adjustments to parameters, module integrations, or step sequences based on the concept of the present invention, made within the spirit and principles set forth in the present invention, should be included within the scope of protection of the present invention.

Claims

1. A traceable smart weighing system, characterized in that, Comprise: A weight acquisition module, a data analysis module, an HTTP server module, a business logic module, a 5G communication module and a mobile terminal; The weight acquisition module is used for collecting the original weighing data of the electronic scale and performing protocol conversion; The data analysis module is in communication connection with the weight acquisition module, and is used for receiving and analyzing the data frame after protocol conversion, and extracting the state identification bit, the weight value and the unit information; The HTTP server module is connected with the data analysis module, and is used for providing a RESTful interface; The business logic module is located at the server end, and is in communication connection with the HTTP server module, and is used for judging whether the weighing data is in a stable state according to the state identification bit, and only allowing the data to be recorded and reported in the stable state; The 5G communication module is used for realizing high-speed and low-delay data transmission between the modules of the system and the remote server and the mobile terminal; The mobile terminal is used for scanning the equipment identification code of the electronic scale to bind the equipment information, and obtaining the effective weighing data judged by the business logic module.

2. A traceable smart weighing system as claimed in claim 1, wherein, The weight acquisition module comprises an electronic scale, a protocol conversion module, a data frame receiving module and a memory cache module; The protocol conversion module is in communication connection with the electronic scale, and is used for converting the RS232 serial communication protocol of the electronic scale into the TCP / IP protocol; The data frame receiving module is connected with the protocol conversion module, and is used for receiving the data frame; The memory cache module is connected with the data frame receiving module, and is used for temporarily storing the data.

3. A traceable smart weighing system as claimed in claim 2, wherein, The electronic scale is provided with a unique equipment identification code, and the mobile terminal realizes equipment binding by scanning the identification code, so that each weighing record is accurately associated to the specific scale body used.

4. A traceable smart weighing system as claimed in claim 3, wherein, The electronic scale is provided with a lithium battery, and supports the mobile use of the scale body in the workshop.

5. A traceable smart weighing system as claimed in claim 1, wherein, The state identification bit comprises one or more of the stable, unstable, overweight and other states.

6. A traceable smart weighing system as claimed in claim 1, wherein, The HTTP server module supports the external system to request and obtain the current weighing data through the HTTP protocol.

7. A traceable smart weighing system as claimed in claim 1, wherein, The business logic module is also used for responding to the service request of the mobile terminal, and pushing the structured data to the mobile terminal.

8. A traceable smart weighing system as claimed in claim 7, wherein, The business logic module is used for binding the scanned equipment identification code with the current stable weighing data.

9. A method of weighing using the traceable smart weighing system according to any one of claims 1-8, characterized in that, Comprise the following steps: Step S1, weighing is performed through the electronic scale, and a data frame containing a state identification bit, a weight value and a unit is outputted; Step S2, the RS232 serial communication protocol of the electronic scale is converted into the TCP / IP protocol through the protocol conversion module; Step S3, the data frame is received and analyzed through the data analysis module, and the state identification bit, the weight value and the unit are extracted; Step S4, whether the state identification bit is in a stable state is judged through the business logic module; Step S5, if the state is stable, the weight value and the unit of the weighing are taken as valid data, and are allowed to be recorded and reported; If the state is unstable, the weighing data is judged as invalid and is rejected; Step S6, the equipment identification code of the electronic scale is scanned through the mobile terminal; Step S7, the scanned equipment identification code is bound with the current stable weighing data through the business logic module; Step S8, send the effective weighing data to the mobile terminal through the 5G communication network.

10. The method of claim 9, wherein, At the same time of recording the effective weighing data, a high-precision timestamp is bound to it, and it is synchronized with the workshop monitoring system time, so that the operator can retrieve the corresponding operation monitoring video according to the time point.

Images