Method and system for quality control traceability of accessories production oriented to ckd mode

Abstract

The present application relates to the technical field of production quality traceability, and particularly relates to a CKD mode-oriented accessory production quality control traceability method and system.The method comprises the following steps: obtaining product data to be exported and a production process thereof, recording standard parameters of each accessory, subsequently disassembling a spatial position of the accessory in the product, constructing a unique identification tag, reading tag position information in real time through a read-write device of a logistics node, and querying corresponding real-time temperature data.According to temperature variation, accessory parameter variation is simulated, whether real-time parameters conform to standards is monitored, if not, an error generation position is marked, a quality control traceability chain is constructed through the error position and position information, and a query index is set, so that efficient quality management and traceability are realized.The present application realizes real-time monitoring and dynamic management of an accessory production process, and enhances transparency and traceability of the production process.

Description

Technical Field

[0001] This invention relates to the field of production quality traceability technology, and in particular to a method and system for quality control and traceability of parts production in the CKD (Completely Knocked Down) model. Background Technology

[0002] Existing quality control methods for parts production often lack effective traceability mechanisms, making it difficult to quickly locate and resolve product quality issues. Traditional quality control methods mainly rely on manual inspection and sampling tests, which cannot achieve real-time monitoring of the entire process, affecting overall production efficiency and product quality stability. In CKD (Completely Disassembled and Delivered) mode, environmental factors such as temperature changes have a significant impact on the performance and quality of parts during production, warehousing, and transportation. Existing technologies have not fully considered this factor and lack monitoring and analysis of real-time environmental data. As a result, parts exhibit different quality characteristics under different environmental conditions in practical applications, and these changes are often not captured and corrected in time during the production process, increasing the risk of product non-conformity. Summary of the Invention

[0003] Therefore, it is necessary to provide a traceability method and system for quality control of parts production in the CKD (Completely Knocked Down) model to solve at least one of the above-mentioned technical problems.

[0004] To achieve the above objectives, a traceability method for quality control in CKD (Completely Knocked Down) parts production includes the following steps:

[0005] Step S1: Obtain the data of the products to be exported and the corresponding product manufacturing process; record the first standard parameters of each component in the data of the products to be exported according to the product manufacturing process;

[0006] Step S2: Determine the spatial coordinates of each component in the product data to be exported; construct a unique identification tag for each component based on the product data and spatial coordinates.

[0007] Step S3: Read and write the location information corresponding to the unique identification tag in real time through the reading and writing device of the logistics node, and query the real-time temperature data of the geographical location based on the location information;

[0008] Step S4: Simulate the change of the first standard parameter of the component based on the change of real-time temperature data to obtain the component parameter change standard; monitor each component based on the component parameter change standard. If the real-time parameter of the component does not meet the component parameter change standard, mark the location information in the unique identification tag as the location where the error occurred.

[0009] Step S5: Construct a quality control traceability chain using the error-generated location and all location information; set the query index for the quality control traceability chain based on the unique identification tag.

[0010] This specification also provides a parts production quality control traceability system for CKD (Completely Knocked Down) production, used to execute the parts production quality control traceability method for CKD production as described above. This parts production quality control traceability system for CKD production includes:

[0011] The parameter acquisition module is used to acquire data on products to be exported and the corresponding product manufacturing process; and to record the first standard parameters of each component in the product data to be exported based on the product manufacturing process.

[0012] The tag building module is used to extract the spatial coordinates of each component in the product data to be exported; and to build a unique identification tag for each component based on the product data to be exported and the spatial coordinates.

[0013] The environmental monitoring module is used to read and write the location information corresponding to the unique identification tag in real time through the reading and writing devices of the logistics node, and query the real-time temperature data of the geographical location based on the location information;

[0014] The standard verification module is used to simulate the change of the first standard parameter of the component based on the change of real-time temperature data to obtain the component parameter change standard; based on the component parameter change standard, each component is monitored, and if the real-time parameter of the component does not meet the component parameter change standard, the location information in the unique identification tag is marked as the location where the error occurred.

[0015] The traceability chain construction module is used to build a quality control traceability chain based on the location generated by the error and all location information; and to set the query index of the quality control traceability chain based on the unique identification tag.

[0016] The beneficial effects of this invention are as follows:

[0017] On the one hand, the implementation of the parameter acquisition module enables comprehensive recording of data on products to be exported and their production processes, ensuring that the primary standard parameters of each component are accurately obtained, thus improving the basic data support for component production quality. The label building module can accurately decompose the spatial coordinates of each component in the product, and the generated unique identification label provides a reliable identifier for subsequent quality traceability. The real-time monitoring capability of the environmental monitoring module enables the location information and environmental conditions of each component during the logistics process to be updated synchronously, providing an important basis for quality control.

[0018] On the other hand, by simulating changes in component parameters based on changes in real-time temperature data, the obtained component parameter change standards make the monitoring of each component more accurate, enabling timely identification of non-compliant components. The mechanism of marking the location of error provides a clear direction for problem tracing. Through the traceability chain construction module, the location of error is combined with all location information to form a complete quality control traceability chain, ensuring that the source can be quickly located when quality problems occur, reducing losses and rework rates in production, and improving overall production efficiency.

[0019] On the other hand, it enables real-time monitoring and dynamic management of the parts production process, enhances the transparency and traceability of the production process, helps enterprises efficiently manage parts quality under the complex CKD model, improves the flexibility and responsiveness of the production process, promotes the intelligent development of parts production and quality control, provides strong technical support for enterprises in fierce competition, and ultimately achieves the goal of high-quality and low-cost production, thus driving the reform and innovation of the manufacturing industry. Attached Figure Description

[0020] Figure 1 A flowchart illustrating the steps of a traceability method for quality control in parts production oriented towards the CKD (Completely Knocked Down) model;

[0021] Figure 2 This is a detailed flowchart illustrating the implementation steps of step S1.

[0022] Figure 3 This is a map showing the location distribution in the X–Y plane.

[0023] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0024] The technical method of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0025] Furthermore, the accompanying drawings are merely illustrative of the invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and therefore repeated descriptions of them will be omitted. Some block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor methods and / or microcontroller methods.

[0026] It should be understood that although the terms "first," "second," etc., may be used herein to describe various units, these units should not be limited by these terms. These terms are used merely to distinguish one unit from another. For example, without departing from the scope of the exemplary embodiments, a first unit may be referred to as a second unit, and similarly, a second unit may be referred to as a first unit. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0027] To achieve the above objectives, please refer to Figures 1 to 3 A traceability method for quality control in CKD (Completely Knocked Down) parts production includes the following steps:

[0028] Step S1: Obtain the data of the products to be exported and the corresponding product manufacturing process; record the first standard parameters of each component in the data of the products to be exported according to the product manufacturing process;

[0029] In this embodiment of the invention, during the export preparation stage, the structural configuration data and complete production process records of the product to be exported are obtained. The product data includes the product model, structural assembly drawing, parts list, and the structural level of the parts in the product. At the same time, the manufacturing equipment information, process parameter settings, actual measurement records, and conformity judgment reports of each part during the manufacturing and assembly process are extracted.

[0030] In another implementation of the present invention, standard physical parameters of each component are extracted from the above-mentioned production process data. The standard physical parameters are the dimensions, weight, hole spacing, material grade, and other parameter values ​​of the component that meet the design requirements under normal production conditions, and are denoted as the first standard parameters of the component.

[0031] In one implementation of this invention, the first standard parameters of an engine bracket include a length of 120.00 mm, a material of Q235-A, a screw hole center distance of 50.00 mm, and an allowable tolerance of ±0.1 mm.

[0032] Step S2: Determine the spatial coordinates of each component in the product data to be exported; construct a unique identification tag for each component based on the product data and spatial coordinates.

[0033] In this embodiment of the invention, a three-dimensional assembly model (such as a BOM-3D file or a CAD digital model) is used to spatially disassemble the structure of the product to be exported, identify the precise assembly position of each component in the overall structure, and use a product coordinate system (X,Y,Z) to record the spatial position coordinates of each component in the overall machine. The annotation method can be the relative offset of its local reference system under the overall machine reference system.

[0034] In another implementation of this invention, based on the spatial coordinates and product structure information, combined with multi-dimensional information such as part number, assembly level, and product batch, a unique identification tag is constructed through coding rules. The tag is a data carrier in read-write form, supports RFID or QR code technology, and contains at least the following fields: product model, part number, assembly location coordinates, etc.

[0035] In one implementation of this invention, for a product numbered "C123456", the spatial coordinates of a certain left front crossbeam are (X=250.00, Y=180.00, Z=75.00). The content of the generated unique identification tag can be: C123456_LFHL_(250,180,75).

[0036] Step S3: Read and write the location information corresponding to the unique identification tag in real time through the reading and writing device of the logistics node, and query the real-time temperature data of the geographical location based on the location information;

[0037] In this embodiment of the invention, during the transportation of parts, the system sets up multiple reading nodes along the logistics path. Each node is equipped with a read / write device capable of communication and data transmission, which scans the unique identification tag for each batch or each part. Each reading operation records the current node number, timestamp, and reading device number, while simultaneously extracting the part ID and location information contained in the tag.

[0038] In another implementation of this invention, based on the geocoding information of the reading node, the real-time temperature data of the node is retrieved from a third-party or local meteorological service platform by connecting to a meteorological data interface, and the temperature data and the current node information are written into the transportation record of the parts to generate a transportation environment dataset.

[0039] In one implementation of this invention, the reading device reads the unique identification tag of the accessory "UID: PRD-A10412-PZX-20250701-0843-(125.5,48.7,75.3)" at the transfer station with node number "LN-036", and obtains the reading time as "T1". The system queries the real-time temperature of the node's geocode "GeoCode-001042", and the result is "35.6°C". The record data entry is: (Accessory ID: PZX-20250701-0843, Node Number: LN-036, Reading Time: T1, Temperature: 35.6°C).

[0040] Step S4: Simulate the change of the first standard parameter of the component based on the change of real-time temperature data to obtain the component parameter change standard; monitor each component based on the component parameter change standard. If the real-time parameter of the component does not meet the component parameter change standard, mark the location information in the unique identification tag as the location where the error occurred.

[0041] In this embodiment of the invention, a thermal response model matching its material type and structural characteristics is invoked for each component, and the temperature data recorded at each transportation node is used as the input variable. The temperature response change of the first standard parameter of the component is calculated through the linear prediction function of thermal expansion or the material property curve, thereby generating the component parameter change standard.

[0042] In another implementation of this invention, the parameter variation standard includes an allowable value range related to temperature, which is used for comparison of deviations during subsequent testing. Before assembly or during the arrival inspection stage, the system performs dimensional scanning or non-contact measurement on the components to obtain real-time detection parameters. These parameters are then compared item by item with the variation standard. If the detection parameters exceed the allowable variation range, the system uses the nearest location node recorded in the component's unique identification tag as an error location marker and writes it into the exception field.

[0043] In one implementation of this invention, the accessory numbered "PZX-20250701-0843" is made of Q235B material, with a coefficient of thermal expansion of [missing information]. Its design length is 120.00mm, with an allowable deviation of ±0.10mm. During transportation, the temperature at a certain point is 35.6°C, corresponding to a theoretical thermal expansion length of approximately 120.03mm. Based on this, the standard range of variation is calculated to be 119.93mm-120.13mm. If the actual measured length upon arrival is 120.20mm, it exceeds the upper limit. The system automatically marks the error of this accessory at the "LN-036" point, and the location information field in the corresponding unique identification tag is simultaneously marked as abnormal.

[0044] Step S5: Construct a quality control traceability chain using the error-generated location and all location information; set the query index for the quality control traceability chain based on the unique identification tag.

[0045] In this embodiment of the invention, a quality tracking record group is constructed based on all reading nodes and their environmental parameters during the process from the factory to assembly of the component. This group includes time series, node locations, temperature information, and measured parameters. If a component is marked as abnormal, its error location is used as the core node, and the environmental changes and test results of each node along its route are traced back to form a complete quality control traceability chain for that component.

[0046] In another implementation of this invention, the traceability chain supports quick querying using a unique identification tag as an index item, and can be visualized in the system interface according to the time dimension or spatial path, helping quality control personnel to quickly locate the source of the problem, analyze the error generation pattern, and determine whether there is a batch anomaly.

[0047] In one implementation of this invention, the accessory numbered "PZX-20250701-0843" is identified as having an error occurring at node "LN-036". The system automatically extracts its five node records from "LN-031" to "LN-036", including temperature, inspection records, transportation time intervals, packing information, etc., and establishes a quality traceability chain with the tag ID as the primary index.

[0048] Preferably, step S1 includes the following steps:

[0049] Step S11: Collect data on products to be exported; compile a structural list of products to be exported and extract the name of each component in the products to be exported;

[0050] Step S12: Record the product manufacturing process before the products to be exported leave the factory;

[0051] Step S13: Query the production data of each component during the product manufacturing process based on the name of each component;

[0052] Step S14: Extract the dimensional parameters of each component from the production data and mark them as the first standard parameters of the component.

[0053] In one implementation of this invention, a data access module is invoked to collect structural configuration data and manufacturing records of the target batch of products to be exported from the Manufacturing Execution System (MES). The structural configuration data includes product model, parts list, structural assembly drawing, and hierarchical position information of parts in the product. The structural list is parsed, and based on the component identifiers in the assembly drawing, the standard name of each component is extracted and a component index table is established.

[0054] In another implementation of this invention, for example, the structural list corresponding to a certain engine assembly includes components such as brackets, connecting rods, and housings. The system extracts "bracket" as the name of the component and binds its structural hierarchy path, such as "assembly A → module B → bracket C".

[0055] In another implementation of this invention, the manufacturing execution log of the target batch of products from the start of processing to the factory inspection is acquired synchronously, covering elements such as equipment number, processing technology type, setting parameters, sensor measured values, and quality inspection judgment, forming a parts production dataset. The parts are indexed and matched by part name, and the process node records and measured value entries of each part are extracted from the production dataset.

[0056] In another implementation of this invention, taking bracket C as an example, the system retrieves its process records to obtain its die clearance setting value, cooling time, raw material grade and inspection size data in the stamping process, and constructs a component-level production sub-chain list.

[0057] In another implementation of this invention, the physical parameters (size, mass, hole spacing, etc.) extracted from the production records of each component are normalized and compared with the data in the design drawings. If the deviation is within the set tolerance range, the recorded value is used as the first standard parameter of the component.

[0058] In another implementation of this invention, for example, if the design length of a bracket is 120.00 mm, the material is Q235-A, and the allowable length tolerance is ±0.10 mm, then when the actual measured dimension L = 119.97 mm and satisfies the formula:

[0059] ;

[0060] ;

[0061] Since 119.97 ∈ [119.90, 120.10], the system confirms that it is qualified and latches the value as the first standard length parameter of the bracket.

[0062] In another implementation of this invention, all extracted first standard parameters are written into a structured standard parameter database. The fields include accessory name, design number, size parameter value, material grade, source process steps and confirmation timestamp, which serve as the core benchmark for subsequent transportation tracking, environmental simulation and deviation analysis.

[0063] Preferably, the spatial coordinates of each component in the product within the product data to be exported, as obtained in step S2, include:

[0064] Reconstruct the three-dimensional product framework based on the data of products to be exported;

[0065] Identify the center of gravity of the 3D product framework;

[0066] Analyze the relative physical position of each component with respect to the center of gravity;

[0067] Construct a three-dimensional coordinate system with the center of gravity as the origin;

[0068] The relative physical position is converted into spatial position coordinates based on the three-dimensional coordinate system.

[0069] In one implementation of this invention, product structure configuration data is received and parsed, and a three-dimensional reconstruction module is called based on the parts list and structural hierarchy information. The reconstruction is based on a CAD (Computer Aided Design) digital model or a BOM-3D (Bill of Material-3D) model to restore the three-dimensional geometric framework of the target product in the assembled state.

[0070] In another implementation of this invention, a topological traversal algorithm is used to identify the connection and nesting relationships between the components, ensuring structural integrity and the accuracy of local reference information, thereby forming a complete digital three-dimensional product framework.

[0071] In another implementation of this invention, after the three-dimensional framework reconstruction is completed, a model mass centroid identification operation is performed. Based on the geometric volume and material density distribution of all components within the product model, the geometric centroid coordinates are calculated using the following formula ( , , ):

[0072] ;

[0073] ;

[0074] ;

[0075] in Indicates the first The mass of each component (calculated from its volume and material density). , , The centroid is the three-dimensional coordinate of the geometric center of the component in the original coordinate system of the product. The obtained centroid is used as the origin of the spatial coordinate system.

[0076] In another implementation of this invention, the geometric centroid is taken as the origin of the three-dimensional coordinate system O, and the product volume space is defined by a right-handed Cartesian coordinate system to establish a three-dimensional coordinate system (O–X–Y–Z). This coordinate system is used to normalize and encode the spatial position of all accessories.

[0077] In another implementation of this invention, the X and Y components of all components that have undergone coordinate transformation are projected in a two-dimensional coordinate system to generate an X-Y plane position distribution map, such as... Figure 3As shown, the scattered distribution of each component on the XY coordinate plane clearly reflects the symmetry and concentration characteristics of the product structure. For example, the figure shows that most components are symmetrically arranged around X=0 and the whole is unfolded in a strip shape. Each point in the figure can be mapped to a 3D model node and corresponds to a unique identification label.

[0078] In another implementation of this invention, after verifying the accurate conversion of the spatial coordinates of the component relative to the center of gravity, for each component, the system analyzes its local assembly surfaces, datum points, and interface structures in the CAD model, and calculates its physical position offset relative to the center of gravity. , , And convert it into spatial location coordinates ( , , ):

[0079] ;

[0080] ;

[0081] .

[0082] In another implementation of this invention, the spatial location coordinates are preserved and standardized with millimeter-level encoding, and the coordinate values ​​are combined with multi-dimensional information such as product model, part number, and assembly level to generate a unique identification label (UID) according to a preset encoding rule.

[0083] In another implementation of this invention, for example, if the product number is "C123456", the left front crossbeam number is "LFHL", and its spatial coordinates are (250.00, 180.00, 75.00), then the unique identification tag code is: UID=C123456_LFHL_(250.00, 180.00, 75.00).

[0084] Preferably, the unique identification label for each accessory constructed in step S2 based on the data of the product to be exported and its spatial coordinates includes:

[0085] Extract the product number from the data of products to be exported;

[0086] The coordinate data of each axis in the spatial position coordinate system is compressed into a position code through bit operations;

[0087] A unique identification label is constructed for each accessory by combining the product number and the location code. This includes identifying the unique product data in the export product data based on the product number and the unique accessory in the unique product data based on the location code.

[0088] In one implementation of this invention, the identification logic module is invoked to extract the product number field from the product data to be exported as the main index information. The product number is globally unique and represents a composite identifier of a specific model, batch, and structural configuration. For example, the product number "C123456" represents the sixth batch of export plans for a certain series of engine components.

[0089] In another implementation of this invention, the spatial position coordinates of each component in a three-dimensional coordinate system are ( , , The system performs bitwise compression operations. First, it retains a fixed precision of valid bits for each axial coordinate value (e.g., converting millimeter values ​​to integers multiplied by 100). Then, it performs displacement and concatenation operations in the X, Y, and Z directions respectively to construct the position encoding field. The following formula is used:

[0090] ;

[0091] in , , Indicates that they will be respectively , , Spatial location coordinates magnified 100 times and converted to integers. This indicates a logical left shift operation. This indicates a bitwise OR operation. This bitwise operation ensures that the compression result is completed within 32-48 bits of binary data, providing high efficiency and uniqueness, making it suitable for writing into RFID chips or embedding in QR code tags.

[0092] In another implementation of this invention, the extracted product number (e.g., C123456) and location code are combined. Combined encoding generates a complete and unique identifier (UID). The tag format is:

[0093] ;

[0094] In another implementation of this invention, for example, if the spatial coordinates of a certain accessory in product numbered "C123456" are ( =250.00mm, =180.00mm, =75.00mm), then Its position code value is:

[0095] ;

[0096] ;

[0097] The final unique identifier tag code is: .

[0098] In another implementation of this invention, while generating a unique identification tag, the tag is injected into each accessory node in the product structure tree model, and a multi-level index is established: the first-level index is the product number, the second-level index is the location code, and the third-level index is the accessory hierarchical path. This allows for reverse lookup of the accessory and its structural relationships from the tag ID at any stage. The system also embeds the tag's tail bytes using CRC checksum encoding in the UID field to prevent read / write errors.

[0099] Preferably, step S3 includes the following steps:

[0100] In response to the product passing through logistics nodes, the location information corresponding to the unique identification tag is read in real time by the reading and writing devices at the logistics nodes;

[0101] Record the time data of products passing through logistics nodes;

[0102] The product's geographical location is determined based on location information;

[0103] Query the real-time temperature data of the product's geographical location using time data.

[0104] In one implementation of this invention, when the product number in the unique identification tag is detected... With position encoding When passing through a logistics node, the RFID reader / writer at the node immediately activates the tag reading module, extracts the coded data from the unique identification tag, and matches the tag code with the stored parts geographic location index table in the database to obtain the spatial coordinates of the current logistics node. The spatial location, obtained by compressing three-dimensional coordinates, can be represented as:

[0105] ;

[0106] in This indicates a left shift operation, ensuring that the compressed coordinate components do not conflict in the binary stream. The value of each component can be obtained in reverse through the decoding operation for spatial positioning.

[0107] In another implementation of this invention, the controller of the logistics node reads the identification tag data while simultaneously recording the system clock time of the tag reading. The data is latched and written to the logistics tracking time series database with millisecond precision. , forming data pairs Associated with this timestamp is the GPS coordinates (lat, lon) of the tag reading node, thus fully recording the geographic space and time status of the product at the moment it passes through the node.

[0108] In another implementation of this invention, the geographical location of the product is determined by a location code obtained from a unique tag. Corresponding logistics node spatial coordinates Combining the latitude and longitude mapping table of the nodes, a three-dimensional coordinate to latitude and longitude transformation model is used. Perform the following transformation:

[0109] ;

[0110] This transformation is based on the established regional coordinate mapping relationship between nodes, allowing for precise determination of the product's current geographical location for subsequent indexing and extraction of environmental data.

[0111] In another implementation of this invention, the product is obtained in After obtaining the (lat, lon) geographical location, a meteorological data query request is initiated to the environmental meteorological service database through the weather data interface, with the product number as the input query parameter. timestamp Based on the geographic location (lat, lon), real-time temperature data for the corresponding time is extracted according to the spatiotemporal data indexing mechanism in meteorological services. The temperature extraction model is as follows:

[0112] ;

[0113] in This represents a meteorological data interpolation function, which typically performs linear or bilinear interpolation based on raster meteorological grid data and returns temperature values ​​in °C, ultimately forming a triplet data structure. Store it in the product status chain list.

[0114] Preferably, in step S4, the change of the first standard parameter of the accessory is simulated based on the change of real-time temperature data to obtain the accessory parameter change standard, including:

[0115] Extract the first temperature data from the product manufacturing process record;

[0116] By combining multiple real-time temperature data and primary temperature data, the actual temperature change trajectory of the product at each logistics node is constructed;

[0117] Multiple simulated temperature fields were constructed based on the actual temperature change trajectory;

[0118] The thermal deformation of the product data to be exported is simulated through various simulated temperature fields.

[0119] The first standard parameter of the component is adjusted by the thermal deformation to obtain the second standard parameter of the component;

[0120] Match the second temperature data in the actual temperature change trajectory according to the second standard parameters of the accessories;

[0121] The temperature difference was determined using the second temperature data and the first temperature data.

[0122] The difference in standard parameters is determined based on the second standard parameters and the first standard parameters of the parts.

[0123] By combining the synchronous changes in temperature differences and standard parameter differences, identify the standard changes in component parameters within the synchronous changes.

[0124] In one implementation of this invention, production process records from the product manufacturing process are extracted, and first temperature data related to temperature control is selected from these records as the original temperature reference. Assuming this first temperature data is... The unit is degrees Celsius. This data is obtained directly from the manufacturing history linked to the product number. Based on the timestamps and geographical location information collected at each logistics node, combined with high-resolution temperature records in the meteorological database, multiple real-time temperature datasets are obtained throughout the product transportation process.

[0125] In another implementation of this invention, it is assumed that the temperature sequence is... When unfolded over time, it forms the temperature change trajectory of the product along its actual logistics path. The trajectory is constructed as follows:

[0126] ;

[0127] in The real-time temperature at any given moment. The initial temperature of the production environment is used as the basis for smoothing the trajectory with an hourly sampling period to eliminate interference from sampling errors and temperature anomalies caused by intermittent jumps.

[0128] In another implementation of this invention, based on the temperature change trajectory The system constructs multiple temperature field distribution models consistent with the logistics path nodes in the simulation engine. Each temperature field constructs boundary conditions using the finite element thermal simulation method to form a spatial temperature distribution T(x,y,z,t), and superimposes parameters such as the material of the transport container, shading coefficient, and air circulation parameters inside the container to simulate the thermal response of the components under multiple temporal and spatial temperature zones, thereby simulating the thermal deformation function. in This refers to the time during which the local temperature stabilizes.

[0129] In another implementation of this invention, the deformation response function is called. First standard parameters for accessories Adjustments were made to obtain a second standard parameter consistent with the thermal deformation results. The adjustment function is expressed as:

[0130] ;

[0131] in The thermal deformation sensitivity coefficient is obtained by fitting experimental data, and is within the known range. and The adjusted solution can be obtained under the following circumstances. .

[0132] In another implementation of this invention, according to The corresponding logistics node time points, in the temperature trajectory Find the matching second temperature data. and combined with the initial temperature Calculate the temperature difference :

[0133] ;

[0134] Simultaneously, the system calculates the difference in standard parameters. as follows:

[0135] ;

[0136] The two discrepancies mentioned above are fed into the synchronous change identification module, which uses a two-dimensional gradient function. analyze and The same increasing or decreasing trend exists when there is an approximate functional relationship f: And goodness of fit If the value is greater than 0.9, the synchronization relationship is considered to be valid.

[0137] In another implementation of this invention, the slope of the curve is determined by analyzing each effective synchronous change segment. and fitting residuals Record the parameter changes of this type of accessory under the current environmental adaptability standard. ,Right now:

[0138] ;

[0139] This standard will serve as one of the bases for subsequent environmental adaptability warnings and compliance comparisons of accessories, and will be uniformly archived and managed in the system's main control module.

[0140] Preferably, in step S4, each component is monitored based on the component parameter change standard. If the real-time parameters of a component do not conform to the component parameter change standard, the location information in the unique identification tag is marked as the location where the error occurred, including:

[0141] At each logistics node, monitor the real-time parameters of each component and the third-party temperature data;

[0142] The compliance range of parameters for this logistics node is determined based on the third temperature data and the standard for changes in component parameters;

[0143] If the real-time parameters are within the parameter compliance range, it is determined that the real-time parameters comply with the parts parameter change standard; if the real-time parameters are not within the parameter compliance range, it is determined that the real-time parameters do not comply with the parts parameter change standard, and the location information in the unique identification label is identified.

[0144] The location information is marked as the location where the error occurred.

[0145] In one implementation of this invention, a parameter monitoring module is activated at each logistics node. This module acquires the real-time temperature value of the logistics node based on the environmental perception system and records it as the third temperature data. At the same time, it collects the real-time physical parameters of all components in the node, including thermal deformation, structural stiffness change value and thermal stress distribution value, and writes them as real-time parameters into the component status register. During the state register latching period, the component number is bound to the unique identification tag in real time to form a status mapping table.

[0146] In another implementation of this invention, a pre-generated standard for component parameter changes is invoked. This standard is obtained by fitting the first temperature data in the product manufacturing process record with real-time temperature data from multiple points to form a temperature trajectory, and then by numerically predicting the thermal deformation of the product through a simulated temperature field.

[0147] In another implementation of this invention, the compliance range of the parameters at the current logistics node is determined based on the third temperature data and the parameter change standard of the accessory. This compliance range is defined by the following formula:

[0148] ;

[0149] in, This indicates the upper limit of the parameter compliance range. Indicates the first standard parameter. This is the temperature response coefficient. This represents the difference between the third temperature data and the first temperature data. The current real-time parameters of the component are compared with... Compare and judge.

[0150] In another implementation of this invention, when the real-time parameters satisfy... The range, i.e., satisfying:

[0151] ;

[0152] in, If the current real-time parameters of the accessory are used, the accessory is considered to be in a compliant state. If this inequality is not satisfied, then... If the value goes out of bounds, the system will identify it as an abnormal state and execute the error localization mechanism.

[0153] In another implementation of this invention, the error location mechanism compares the geographic coordinate information recorded in the unique identification tag with the location information of the logistics node, and writes the current node location into the error record table. The structure of the error record table includes: part number, location information, error timestamp and temperature difference value. At the same time, the error generation bit in the unique identification tag of the part is updated in the form of a bit mark, and its mark position is used to achieve fast indexing of location information through part sequence address offset.

[0154] In another implementation of this invention, after the error bit marking is completed, a tracking mechanism is initiated to write the trajectory information of the parts containing the error marking into the historical traceability chain. Spatial clustering analysis is then performed based on the distribution of error occurrence locations in the traceability chain to determine whether there are any concentrated parameter non-compliance issues at specific nodes. Simultaneously, the error surge ratio is calculated based on the synchronization offset between the parameter deviation value and the temperature deviation value. The surge ratio is described by the following formula:

[0155] ;

[0156] in The error surge ratio is a reference indicator for evaluating the node temperature control capability and the stability of the component response.

[0157] Preferably, step S5, which involves generating a quality control traceability chain using the error-generated location and all location information, includes:

[0158] Extract the unique identification label corresponding to the location where all errors occurred;

[0159] All locations where errors occurred were marked as abnormal nodes using corresponding unique identification tags;

[0160] Construct a transportation timeline based on all location information in the unique identification tag in chronological order;

[0161] Anomalies are projected onto the transportation timeline to build a quality control traceability chain.

[0162] In one implementation of this invention, each CNC machine tool part entering the transportation process is assigned a unique identification tag. This tag not only has a unique number but also contains a complete transportation location information module, which can record the time, location, and environmental data of the part throughout the transportation process.

[0163] In another implementation of this invention, when a part arrives at any logistics node, the system reads the temperature data of the environment where the node is located in real time and records it as a third temperature data. At the same time, the system collects the current state parameters of the part through its own state sensor. These parameters cover multiple physical quantities such as size, deformation, stress, vibration, and voltage response. All data are written into the corresponding part data recording unit in real time.

[0164] In another implementation of this invention, a parameter change standard for the corresponding component is retrieved. This standard, based on the component's material properties, structural form, and manufacturing process characteristics, sets an acceptable range of state parameter changes under different temperature ranges. The currently collected component state parameters are compared item by item with this standard to determine whether they fluctuate within the allowable range.

[0165] In another implementation of this invention, if a parameter exceeds the standard range and its abnormality cannot be explained by third-party temperature data, it is considered an error event. The system immediately records the current node number and time information as the location where the error of the accessory occurs, and marks the node with an "abnormal" mark.

[0166] In another implementation of this invention, after the system has completed the status comparison of all components at each node, it begins to backtrack the unique identification tag information of all components that have been marked as abnormal, and extracts the location and time of each abnormality.

[0167] In another implementation of this invention, all transportation nodes of the same component are sorted out by time sorting to construct a complete transportation trajectory line from the time of departure to the current time.

[0168] In another implementation of this invention, nodes previously marked as abnormal are mapped onto the trajectory line, and each abnormal node is recorded as a key node in the tracing chain.

[0169] In another implementation of this invention, for example, if a component experiences 8 logistics nodes during transportation, and the 2nd, 5th, and 7th nodes are marked as abnormal nodes, the system embeds these nodes into the component's transportation path in chronological order to form a transportation trajectory that includes a mixture of normal and abnormal states. This trajectory is the component's quality control traceability chain.

[0170] In another implementation of this invention, the chain not only retains time and location information, but also indicates the location of each anomaly and the corresponding state parameter anomaly type, such as "deformation exceeding limits" or "vibration amplitude sudden change".

[0171] Preferably, step S5, which involves setting the query index for the quality control traceability chain based on the unique identification label, includes:

[0172] Set the unique identifier label as the unique entry key value for the quality control traceability chain;

[0173] Match the location information in the unique entry key with the location information of each node in the quality control traceability chain to obtain the matching location node;

[0174] An index directory is built by matching location nodes.

[0175] In one implementation of this invention, after the CNC machine tool parts complete the collection of status parameters at each node and establish a complete quality control traceability chain during transportation, an independent query index structure is established for the traceability chain information of each part, so as to achieve rapid location and information retrieval in the massive traceability data.

[0176] In another implementation of the present invention, a unique identification label for identifying accessories is set as the unique entry key value of the quality control traceability chain. This identification label is usually composed of a factory code, a shipping batch number, an accessory category number, and an initialization timestamp. It has uniqueness and verifiability and can serve as the only access channel to enter the traceability index.

[0177] In another implementation of this invention, the geographic location field contained in the unique entry key is extracted and matched with the location information field of all logistics nodes stored in the traceability chain.

[0178] In another implementation of this invention, the matching process adopts a step-by-step comparison strategy, using node number, latitude and longitude, city of the node or specific logistics area as the basic fields for precise comparison. If multiple nodes meet the matching conditions, the first valid matching node is selected according to the order of the parts' arrival time and used as the location anchor point in the query index.

[0179] In another implementation of this invention, a query index directory structure corresponding to the tag is constructed with the matching location node as the center point. The directory is usually divided into three layers: the first layer is the unique tag key value, the second layer is the node number that matches it and the node's associated attribute information, and the third layer is refined into the upstream and downstream segment data of the node's position in the entire chain.

[0180] In another implementation of this invention, the upstream node segment is formed by tracing back from the current matching node to the initial sending node, and then extending backward to the final receiving node to form the downstream node segment.

[0181] In another implementation of this invention, each node segment includes traceability data such as the status of parts in transit, node environmental parameters, transportation method information, and any recorded abnormal tags.

[0182] In another implementation of this invention, the unique identification tag for a certain component is "ZC-XXZZYY-NM112". Upon receiving a query command for this tag, the system locates the traceability chain information group corresponding to the tag, extracts and parses the bound location information field, and, after matching, locks the node with the number " in the node sequence. The logistics node is used as the anchor core for the query index, ultimately generating the following structure:

[0183] Tag index layer: "ZC-XXZZYY-NM112";

[0184] Location information layer: (A certain transit node has complete data collection capabilities);

[0185] Upstream node segment: [ [Includes the status parameters and transportation environment information for each segment];

[0186] Current node segment: [ Status message: Upper limit warning for deformation variables];

[0187] Downstream node segment: [ The status is normal, and no abnormal records have been found.

[0188] Therefore, the embodiments should be considered as exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of the equivalents of the application are intended to be included within the invention.

[0189] The above description is merely a specific embodiment of the present invention, enabling those skilled in the art to understand or implement the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features of the invention herein.

Claims

1. A CKD pattern-oriented accessory production quality control traceability method, characterized by, The method comprises the following steps: Step S1: obtaining product data to be exported and corresponding product production process; According to the product production process, record the first standard parameter of each accessory in the product data to be exported; Step S2: disassembling the corresponding spatial position coordinates of each accessory in the product data to be exported; based on the product data to be exported and the spatial position coordinates, constructing a unique identification tag for each accessory; The disassembling of the corresponding spatial position coordinates of each accessory in the product data to be exported in step S2 comprises: According to the product data to be exported, reconstructing a three-dimensional product framework; Identifying the center point of the three-dimensional product framework; Analyzing the relative physical position of each accessory relative to the center point; Constructing a three-dimensional coordinate system with the center point as the origin; According to the three-dimensional coordinate system, converting the relative physical position into spatial position coordinates; Step S3: reading and writing the location information corresponding to the unique identification tag through the reading and writing equipment of the logistics node, and positioning the geographical location where the product is located according to the location information, and querying the real-time air temperature data of the geographical location; Step S4: according to the change of the real-time air temperature data, simulating the change of the first standard parameter of the accessory, obtaining the accessory parameter change standard; based on the accessory parameter change standard, monitoring each accessory, if the real-time parameter of the accessory does not meet the accessory parameter change standard, marking the location information in the unique identification tag as the error generating position; obtaining the accessory parameter change standard in step S4 comprises: Extracting the first air temperature data of the production process in the product production process record; Combined with a plurality of real-time air temperature data and the first air temperature data, constructing an actual air temperature change track of the product in each logistics node; According to the actual air temperature change track, constructing a plurality of simulation temperature fields; Simulating the thermal deformation of the product data to be exported through each simulation temperature field; Adjusting the first standard parameter of the accessory through the thermal deformation to obtain the second standard parameter of the accessory; According to the second standard parameter of the accessory, matching the second air temperature data in the actual air temperature change track; Determine the air temperature gap through the second air temperature data and the first air temperature data; Based on the second standard parameter of the accessory and the first standard parameter of the accessory, determine the standard parameter gap; Combined with the synchronous change of the air temperature gap and the standard parameter gap, identify the accessory parameter change standard in the synchronous change; Step S5: constructing a quality control traceability chain through the error generating position and all the location information; setting the query index of the quality control traceability chain according to the unique identification tag.

2. The CKD pattern oriented, production quality control traceability method for accessories according to claim 1, characterized in that, Step S1 comprises the following steps: Step S11: collecting product data to be exported; arranging the structure list of the product to be exported, and extracting the name of each component accessory in the product to be exported; Step S12: recording the product production process before the product to be exported leaves the factory; Step S13: according to the name of each component accessory, querying the production data of each accessory in the product production process; Step S14: extracting the size parameter of each accessory in the production data, and marking it as the first standard parameter of the accessory.

3. The CKD pattern oriented, production quality control traceability method for accessories according to claim 1, characterized in that, In step S2, based on the product data to be exported and the spatial position coordinates, constructing a unique identification tag for each accessory comprises: Extracting the product number of the product data to be exported; Compressing the coordinate data of each axis in the spatial position coordinates into position code through bit operation; The unique identification tag of each component is constructed in combination with the product number and the location code, including identifying the unique product data in the export product data according to the product number, and identifying the unique component in the unique product data according to the location code.

4. The CKD pattern oriented, production quality control traceability method for accessories according to claim 1, characterized in that, Step S3 includes the following steps: In response to the product passing through the logistics node, the location information corresponding to the unique identification tag is read in real time by the read-write device of the logistics node; Time data of the product passing through the logistics node is recorded; The geographical location where the product is located is located according to the location information; Real-time air temperature data of the geographical location where the product is located is queried through the time data.

5. The CKD pattern oriented, production quality control traceability method for accessories according to claim 1, characterized in that, In step S4, each component is monitored based on the component parameter change standard, and if the real-time parameter of the component does not meet the component parameter change standard, the location information in the unique identification tag is marked as the error generation location, including: At each logistics node, the real-time parameter of each component and the third air temperature data are monitored; The parameter compliance range of the logistics node is determined according to the third air temperature data and the component parameter change standard; If the real-time parameter is in the parameter compliance range, it is determined that the real-time parameter meets the component parameter change standard, and if the real-time parameter is not in the parameter compliance range, it is determined that the real-time parameter does not meet the component parameter change standard, and the location information in the unique identification tag is identified; The location information is marked as the error generation location.

6. The CKD pattern oriented, production quality control traceability method for accessories according to claim 1, characterized in that, In step S5, the quality control traceability chain is constructed through the error generation location and all the location information, including: Extracting the corresponding unique identification tag to which all the error generation locations belong; Using the corresponding unique identification tag to mark all the error generation locations as abnormal nodes; According to all the location information in the unique identification tag, a transportation time trajectory is constructed in time sequence; The abnormal nodes are projected into the transportation time trajectory to construct the quality control traceability chain.

7. The CKD pattern oriented, production quality control traceability method for accessories according to claim 1, characterized in that, In step S5, the query index of the quality control traceability chain is set according to the unique identification tag, including: The unique identification tag is set as the unique entry key value of the quality control traceability chain; Matching the location information in the unique entry key value with the location information of each node in the quality control traceability chain to obtain a matching location node; An index directory is established through the matching location node.

8. A CKD pattern oriented quality control traceability system for production of accessories, characterized in that, A CKD mode-oriented component production quality control traceability method is executed, and the CKD mode-oriented component production quality control traceability system includes: A parameter acquisition module for obtaining export product data and corresponding product production process; recording the component first standard parameter of each component in the export product data according to the product production process; A tag construction module for disassembling the spatial position coordinates of each component in the product in the export product data; constructing a unique identification tag for each component based on the export product data and the spatial position coordinates; An environmental monitoring module for reading and writing the location information corresponding to the unique identification tag in real time through the read-write device of the logistics node, and querying the real-time air temperature data of the geographical location according to the location information; The standard checking module is configured to simulate the change of the first standard parameter of the accessory according to the change of the real-time temperature data, and obtain a parameter change standard of the accessory; and monitor each accessory based on the parameter change standard of the accessory. If the real-time parameter of the accessory does not conform to the parameter change standard of the accessory, the position information in the unique identification tag is marked as an error generation position. The trace chain construction module is configured to construct a quality control trace chain through the error generation position and all the position information, and set a query index of the quality control trace chain according to the unique identification tag.

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