Manufacturing process fault tracing and positioning method and system

Abstract

The invention discloses a manufacturing process fault tracing and positioning method and system, and the method comprises the steps: dividing a target product into sub-products of different levels, and configuring one or more data collection terminals for each sub-product and the target product; obtaining product information through the data acquisition terminal, and establishing a corresponding relationship between the product information and the corresponding sub-product and the target product; storing the product information as a multi-way tree structure by adopting a netting algorithm; and performing fault tracing positioning according to the multi-way tree structure. When a product has a quality problem, by traversing key data multi-way tree nodes, lower-layer nodes causing the quality problem can be traced downwards, key indexes influencing the product quality can be analyzed upwards, and fault positioning and control over the manufacturing process are achieved.

Description

Technical Field

[0001] The present invention belongs to the technical field of fault diagnosis, and in particular relates to a method and system for tracing and locating faults in a manufacturing process. Background Art

[0002] In the field of large-scale manufacturing, due to the complexity of the process and the many production processes, it is impossible to fully realize intelligent production, and manual intervention is required, which makes it difficult to trace the quality problems, that is, it is difficult to determine the nodes, production equipment, production personnel, etc. that cause product quality problems. When quality problems occur in products, companies can only blindly investigate them, which is time-consuming and labor-intensive, and the investigation efficiency is low, which in turn limits production efficiency. Summary of the invention

[0003] The purpose of the present invention is to provide a method and system for tracing and locating faults in a manufacturing process, so as to solve the problem that it is difficult to trace and locate faults in the manufacturing process of large-scale products.

[0004] The present invention is achieved through the following technical solutions:

[0005] A method for tracing and locating faults in a manufacturing process comprises the following steps:

[0006] S0. Divide the target product into sub-products of different levels, and configure one or more data collection terminals for each sub-product and target product;

[0007] S1. Obtain product information through the data acquisition terminal, and establish a corresponding relationship between the product information and the corresponding sub-product and target product; the product information includes key quality data of the sub-product and target product, key quality data standard value, key quality data measured value, key quality data allowable deviation, production equipment information and production personnel information;

[0008] S2. Using a networking algorithm to store product information into a multi-branch tree structure, the root node of the multi-branch tree structure is the target product, and the remaining nodes are sub-products corresponding to different levels;

[0009] S3. Perform fault tracing and location according to the multi-branch tree structure.

[0010] In some embodiments, the step of tracing and locating the fault according to the multi-branch tree structure includes:

[0011] When an abnormal node appears, starting from the nodes corresponding to the sub-product or target product with the quality problem, go down along the multi-branch tree structure, calculate the deviation between the actual value of the key quality data and the standard value of the key quality data of the connected nodes at each level in turn, and judge whether the deviation exceeds the corresponding allowable deviation of the key quality data, until the node where the deviation exceeds the corresponding allowable deviation of the key quality data is found, and it is judged as a faulty node; and / or according to the faulty node, the corresponding production equipment and production personnel information is obtained, and the corresponding production equipment is judged as a faulty production equipment, and the corresponding production personnel is judged as the person responsible for the fault.

[0012] In some embodiments, the step of tracing the fault source according to the multi-branch tree structure includes: when an abnormal node appears, obtaining the degree to which the target product is affected by the abnormal node upward along the multi-branch tree structure.

[0013] In some embodiments, a data identification number is configured for each data collection terminal, and the data identification number is used to identify the sub-product, target product corresponding to the data collection terminal and the level of the corresponding sub-product and target product, as well as the key quality data of the corresponding sub-product and target product collected by the data collection terminal;

[0014] The step of establishing a correspondence between the product information and the corresponding sub-product and target product includes: establishing a correspondence between the product information and the corresponding sub-product and target product according to the data identification number.

[0015] In some embodiments, the step of using a networking algorithm to store product information as a multi-branch tree structure includes: distinguishing different categories of leaf nodes according to corresponding data identification numbers, and constructing the nodes of the upper layer layer by layer through the leaf nodes until the root node is constructed.

[0016] On the other hand, the present invention also relates to a manufacturing process fault tracing and positioning system, including a data acquisition terminal and a data processing system;

[0017] The data acquisition terminal is used to obtain product information and establish a corresponding relationship between the product information and the corresponding sub-products and target products. The product information includes key quality data of the sub-products and target products, standard values ​​of key quality data, measured values ​​of key quality data, allowable deviations of key quality data, production equipment information and production personnel information;

[0018] The data processing system is used to store the product information as a multi-branch tree structure and perform fault tracing and location according to the multi-branch tree structure. The root node of the multi-branch tree structure is the target product, and the remaining nodes are sub-products corresponding to different levels.

[0019] In some embodiments, the data acquisition terminal includes: an input module, an identification module, and a control module;

[0020] The input module is used to input the key quality data of the sub-product and the target product, the standard value of the key quality data, the measured value of the key quality data, and the allowable deviation of the key quality data;

[0021] The identification module is used to identify the production equipment information and production personnel information corresponding to the sub-product and the target product;

[0022] The control module is used to establish a corresponding relationship between the acquired product information and the corresponding sub-products and target products.

[0023] In some embodiments, the identification module includes a radio frequency identification submodule and a magnetic induction identification submodule; the radio frequency identification submodule is used to identify production equipment information of sub-products and target products; the magnetic induction identification submodule is used to identify production personnel information of sub-products and target products.

[0024] In some embodiments, the data acquisition terminal further includes a display module, and the display module is used to display product information.

[0025] In some embodiments, the data acquisition terminal further includes a sub-product information module, and the sub-product information module is used to represent the sub-product corresponding to the data acquired by the data acquisition terminal according to the data identification number.

[0026] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0027] The present invention decomposes the target product into multi-level sub-products based on the production process of the product, adopts a networking algorithm and a data acquisition terminal to associate the measurement data of different equipment involved in each process flow in the product manufacturing process, and establishes a multi-branch tree structure. When a product has a quality problem, by traversing the key data multi-branch tree nodes, the lower nodes that cause the quality problem can be traced downward, and the key indicators that affect the product quality can be analyzed upward, thereby realizing the location of the fault and the control of the manufacturing process.

[0028] The present invention establishes a one-to-one relationship between products, production equipment, production personnel and data, so that the production process can be traced and the product production quality is guaranteed.

[0029] When a problem is located through the method of the present invention, the production link can be optimized based on the data parameters collected by the node. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0031] Figure 1 Schematic diagram of a multi-branch tree structure in an embodiment of the present invention.

[0032] Figure 2 Schematic diagram of a multi-branch tree structure of an aircraft deicing and rain removal system in an embodiment of the present invention.

[0033] Figure 3 Schematic diagram of a manufacturing process fault tracing and locating system in an embodiment of the present invention.

[0034] Figure 4 Schematic diagram of a data acquisition terminal in an embodiment of the present invention.

[0035] Figure 5 This is a front view of the data acquisition terminal structure in an embodiment of the present invention.

[0036] Among them: 1-data acquisition terminal, 2-data processing system, 3-data transmission device, 11-input module and display module, 111-input module, 112-display module, 12-radio frequency identification submodule, 13-magnetic induction identification submodule, 14-control module, 141-sub-product information module, 15-power module, 16-output module and data interface, 17-switch. DETAILED DESCRIPTION

[0037] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments.

[0038] Embodiment 1

[0039] This embodiment is a method for tracing and locating faults in a manufacturing process. Figure 1 As shown, the fault location method of this embodiment includes the following steps:

[0040] S0. Divide the target product into sub-products of different levels, and configure one or more data collection terminals for each sub-product and target product;

[0041] S1. Obtain product information through the data acquisition terminal, and establish a corresponding relationship between the product information and the corresponding sub-products and target products;

[0042] S2, storing the product information using a multi-branch tree structure;

[0043] S3. Perform fault tracing and location according to the product information stored in the multi-branch tree structure.

[0044] The target product is divided into sub-products of different grades according to the production process, so that the quality control of the target product is transformed into the quality control of the sub-products in the manufacturing process.

[0045] The product information includes the key quality data of the sub-product and target product, the standard value of the key quality data, the measured value of the key quality data, the allowable deviation of the key quality data, the production equipment information and the production personnel information.

[0046] The data acquisition terminal uses a small data acquisition terminal, which has the advantage of high reuse rate. After exporting the data, the small process data acquisition terminal can be reset and continue to be used for other products.

[0047] The specific working mode of the small data collection terminal is as follows:

[0048] A QR code label is set on the production equipment. The small data acquisition terminal can identify the corresponding production equipment by identifying the QR code label through its radio frequency identification submodule.

[0049] The production personnel are equipped with IC cards, and the small data acquisition terminal can identify the IC cards through its magnetic induction identification submodule to identify the corresponding production personnel.

[0050] Other product information is input through the input module of the small data acquisition terminal, including key quality data of sub-products and target products, standard values ​​of key quality data, actual values ​​of key quality data, and allowable deviations of key quality data.

[0051] Both sub-products and target products have key quality data to characterize their overall quality. Key quality data have standard values ​​and allowable deviations. The allowable deviation is the reasonable range of deviations between the actual measured value of the key quality data and the standard value of the key quality data. If the deviation between the actual measured value of the key quality data and the standard value of the key quality data is within this reasonable range, it means that the quality of the sub-product is qualified and is not a fault point.

[0052] In order to store product information, it is necessary to establish a corresponding relationship between product information and products. When the data processing system queries any sub-product or target product, it can be associated with its corresponding product information.

[0053] The data processing system will form a unique identifier for the production personnel information, product information, and data type to point to the actual measurement value, and add the identifier and measurement value to the established virtual product model. The user can then intuitively see the model diagram of the product with actual data information on the computer through the data processing system.

[0054] The specific method for establishing the corresponding relationship is: first configure a data identification number for each data acquisition terminal, and this data identification number is used to characterize the sub-product and target product corresponding to the data acquisition terminal and the hierarchy of the corresponding sub-product and target product, as well as the key quality data of the corresponding sub-product and target product that the data acquisition terminal needs to collect.

[0055] The product information module of the data acquisition terminal can determine the sub-product and target product based on this data identification number. The control module of the data acquisition terminal can establish the corresponding relationship between product information and sub-products and target products, and label all product information for the convenience of subsequent operations.

[0056] Specifically, through the built-in control unit of the data acquisition terminal, the required key quality data standard values, the products to which the key quality data standard values ​​belong, the allowable deviation of the key quality data and other information are manually set in the system. The data acquisition terminal matches the collected data with the data-related information to achieve labeling.

[0057] Data identification number is Str ki It is composed of two substrings, which are expressed as:

[0058] Str ki =StrA+StrB;

[0059] Among them, StrA identifies the product corresponding to the data collection terminal, StrB identifies the name of the key quality data collected by the data collection terminal, and StrB is calculated by the data collection terminal according to the required collected data. k represents the level of the corresponding product, and i represents the corresponding category.

[0060] Taking the plug gauge as an example, the data required to be collected for the plug gauge include diameter, roughness, etc. When the "roughness" data is entered in the data acquisition terminal, the data acquisition terminal automatically calculates the corresponding code StrB to identify the data. The data required to be collected refers to the data that needs to be recorded in production, such as the diameter of the plug gauge, important data of the product; and the same data acquisition terminal generates a string StrA representing the product according to the product.

[0061] Product level: The first-level product is the final target product, while the second-level product is a similar level that constitutes the final product. The earlier the product is in the production process, the higher the level. In the production process, the parts that need to be used are marked with k according to the level, and the parts that are classified according to the category are marked with i, such as auxiliary production tools (plug gauges), common production materials (gaskets), key production materials (support frames), etc.

[0062] Take the plug gauge as an example. The plug gauge belongs to the fifth-level product. The plug gauge is assembled four times in the production process to obtain the final product, that is, k = 5; the plug gauge is a working measuring instrument and will not appear on the final product x. The category is 8, that is, i = 8; therefore, for product x, the data identification number of the plug gauge diameter is expressed as Str 58 = "01ss", where "01" is the identification number of the product plug gauge, that is, the product corresponding to the data collection terminal, and "ss" indicates that the key quality data to be collected is the diameter.

[0063] After the product information is collected, it can be exported to the data processing system through the data interface. The data processing system is used to store the product information in a multi-branch tree structure and perform fault tracing and positioning based on the product information stored in the multi-branch tree structure.

[0064] The multi-branch tree structure provides a fault location method. Each node represents a sub-product, and the root node is the target product. When a sub-product has a problem, the node is traversed upward to query the degree of impact on the target product, and the node is traversed downward to query the process steps where the problem occurred, locate the key production process that affects the quality of the target product, and trace back to find the root cause of the problem. When a problem occurs during the production process, the cause of the problem can be queried through the generated subtree.

[0065] A networking algorithm is used to represent the relationship between products and sub-products by establishing connections, and a traceability chain is built in conjunction with data collection terminals.

[0066] The networking algorithm associates the data collected by the data acquisition terminal and establishes a mapping relationship between the measured equipment and the data.

[0067] Depending on the complexity of different processes in the production process, a single sub-product can use multiple data acquisition terminals to collect corresponding data separately.

[0068] The data collected by the data collection terminal is distinguished into leaf nodes of different categories according to the different products to which the set standard values ​​belong, and the upper layer nodes are constructed layer by layer. This operation is repeated until the root node is constructed.

[0069] For example, if product A is composed of product B and product C, then product B and product C are leaf nodes of product A, which expresses the direct impact of product B and product C on the quality of product A. According to the above principle, the leaf nodes at the bottom level are the key data information of the initial product, and the structure continues upward until the root node, i.e., the target product, is constructed.

[0070] Taking the data collection terminal Spider as an example, first use the SpiderGet() function to obtain the product information collected by the small process data collection terminal Spider, that is, to obtain the leaf nodes of the generated target binary tree. Query the data identification number of each sub-product to obtain the level of the sub-product. If the level of the sub-product is 0, it is a leaf node.

[0071] SubProduct_Str ki .data() = SpiderGet;

[0072] SubProduct_Str ki Children.Size() = 0;

[0073] If the level of a sub-product is 3 and its product category is i, then it is a 3-level node, and the i-type sub-products of level 2 are taken as the child nodes of this node. The specific operations are as follows:

[0074] SubProduct_Str ki Children.Size() = 3;

[0075] SubProduct_Str ki .addChildren(TreeNode(SubProduct_Str x ));

[0076] SubProduct_Str ki .addChildren(TreeNode(SubProduct_Str xi ));

[0077] SubProduct_Str ki .addChildren(TreeNode(SubProduct_Str xi ));

[0078] Different categories of leaf nodes are distinguished according to the characteristics of the numbers of sub-products at different levels, and a corresponding relationship between the nodes is established; wherein x=k-1 is the node of the previous layer of k.

[0079] As shown above, it is found that there are 3 leaf nodes at level k. The number of leaf nodes is stored in the corresponding upper node, and the leaf nodes are stored as subtrees of the node. The addChildren() function is used to establish node connections.

[0080] Following the above steps, continue to establish connections to the upper layers until you reach the root node.

[0081] After the multi-branch tree structure is established, starting from the node corresponding to the product with quality problems, go down along the multi-branch tree structure, calculate the deviation between the actual value of the key quality data and the standard value of the key quality data of the connected nodes at each level in turn, and judge whether the deviation exceeds the corresponding allowable deviation of the key quality data, until the node whose deviation exceeds the corresponding allowable deviation of the key quality data is found, and it is judged as a faulty node, and the corresponding production equipment and production personnel information is obtained according to the faulty node, the corresponding production equipment is judged as a faulty production equipment, and the corresponding production personnel is judged as the person responsible for the fault.

[0082] When a problem occurs with the target product, that is, the root node is abnormal, the multi-branch tree is traversed, the abnormal node is queried downward, the offset between the measured value and the standard value is calculated, and the reason why the quality of the target product is affected is analyzed. The Root represents the node being queried, and the IsWrong() function calculates the deviation between the measured value and the standard value, and determines whether there is a quality risk. After the query is completed, the Root points to the next level node to continue traversing.

[0083]

[0084] Reference Figure 2 , the present embodiment is described below using an aircraft deicing and rain removal system as a target product.

[0085] S0. First, divide the deicing and rain removal system into sub-products at different levels.

[0086] The target product de-icing and de-raining system is represented by Product1, Product1.Product1-1 is the airfoil surface product of the next level of Product1, Product1.Product1-1.Product1-1-2 is the wing leading edge de-icing system of the next level of Product1-1, and so on.

[0087] S1. Use a small process data collection terminal to collect product information. The small process data collection terminal labels the collected product information. The label format is as follows:

[0088] Product1.Product1-1.Product1-1-2.radius=2.05

[0089] The radius is a key quality data of the wing leading edge de-icing system, and the label indicates the measured value of the key quality data.

[0090] S2. Store product information using a multi-tree structure and establish a multi-tree fault analysis model, that is, establish connections between nodes.

[0091] Product1.Child=Product1-1;

[0092] Product1-1.Child=Product1-1-2;

[0093] S3. Use the above multi-branch tree fault analysis model to trace the fault source

[0094] During the functional testing of the aircraft, quality problems were found in the aircraft's de-icing and de-raining systems.

[0095] TreeNode("rain and ice removal").IsWrong()=True;

[0096] Starting from the root node, we trace back to the next level and find that in the child nodes of this level, the deviation between the measured value and the standard value of the airfoil surface is relatively large but still within the allowable deviation, so we continue to trace back to the next level.

[0097] TreeNode("airfoil").IsWrong()=True;

[0098] Root = Root.ChildrenList(;

[0099] It was found that in the sub-nodes of this level, the deviation between the measured value and the standard value of the wing leading edge de-icing system was relatively large but still within the allowable deviation, so the traceback was continued to the next level.

[0100] TreeNode("wing leading edge deicing system").IsWrong()=True;

[0101] Root = Root.ChildrenList();

[0102] It was found that in the sub-nodes of this level, the deviation between the measured value and the standard value of the temperature sensor exceeded the allowable deviation, that is, the node was a faulty node. After re-measurement, it was found that a certain component of the temperature sensor was abnormal. After redeployment, the fault was successfully troubleshooted, and the key data required in the production of the temperature sensor was adjusted to optimize the production process.

[0103] TreeNode("Temperature Sensor").IsWrong()=True;

[0104] The present invention can control production quality by recording key data in the production process, locate key production processes that affect product quality, and analyze production processes that are strongly related to product quality, thereby ensuring product quality.

[0105] S4. For nodes with problems, stability analysis and compliance rate analysis can be performed separately to achieve overall traceability.

[0106] 1. Stability analysis:

[0107] Product1.Product1-1.Product1-1-2.radius=2.05;

[0108] Product1.radius = 2.01;

[0109] The radius of the part Product1.Product1-1.Product1-1-2 formed a deviation of 0.04 after the overall installation was completed, which may be one of the causes of the failure.

[0110] 2. Compliance rate analysis:

[0111] Product1.Product1-1.Product1-1-2.radius.DATA=2±0.1;

[0112] Product1.Product1-1.Product1-1-2.radius=2.05;

[0113] (Product1.Product1-1.Product1-1-2.radius-Product1.Product1-1.Product1-1-2.radius.PerfectDATA) / Product1.Product1-1.Product1-1-2.radius.DATAArea=50%

[0114] The deviation of the radius of the part Product1.Product1-1.Product1-1-2. from the expected value after the overall installation is completed is 50%, which may be one of the causes of the failure.

[0115] Embodiment 2

[0116] This embodiment is a manufacturing process fault tracing and positioning system. Figure 3 As shown, it includes: a data acquisition terminal 1, a data processing system 2 and a data transmission device 3.

[0117] The data acquisition terminal is used to obtain product information and establish a corresponding relationship between the product information and the corresponding sub-products and target products. The product information includes the key quality data of the sub-products and target products, the standard value of the key quality data, the measured value of the key quality data, the allowable deviation of the key quality data, the production equipment and the production personnel;

[0118] The data processing system is used to store the product information as a multi-branch tree structure, and perform fault tracing and location according to the multi-branch tree structure, wherein the root node of the multi-branch tree structure is the target product, and the remaining nodes are sub-products corresponding to different levels;

[0119] The data transmission device is used to transmit product information between the data acquisition terminal and the data processing system.

[0120] The data collection terminal 1 includes: an input module 111, an identification module, a control module 14, a display module 12, and a sub-product information module 141. Figure 4 , Figure 5 shown.

[0121] The input module is used to input the key quality data of sub-products and target products, the standard value of key quality data, the measured value of key quality data, and the allowable deviation of key quality data;

[0122] The display module is used to display product information;

[0123] The identification module is used to identify the production equipment information and production personnel information corresponding to the sub-product and target product;

[0124] The identification module specifically includes: a radio frequency identification submodule 12 and a magnetic induction identification submodule 13; wherein the radio frequency identification submodule is used to identify the production equipment of the sub-product and the target product; and the magnetic induction identification submodule is used to identify the production personnel of the sub-product and the target product.

[0125] The control module is used to establish a corresponding relationship between the acquired product information and the corresponding sub-products and target products.

[0126] The sub-product information module is used to represent the sub-product corresponding to the data acquired by the data acquisition terminal according to the data identification number.

[0127] On this basis, the data acquisition terminal is also configured with a conventional power supply module 15 , a switch 17 , an output module and a data interface 16 .

[0128] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Any simple modification or equivalent change made to the above embodiment based on the technical essence of the present invention shall fall within the protection scope of the present invention.

Claims

1. A method for tracing and locating faults in a manufacturing process, characterized in that: The following steps are involved: S0. Divide the target product into sub-products of different levels, and configure one or more data collection terminals for each sub-product and target product; S1. Obtain product information through the data acquisition terminal, and establish a corresponding relationship between the product information and the corresponding sub-product and target product; the product information includes key quality data of the sub-product and target product, key quality data standard value, key quality data measured value, key quality data allowable deviation, production equipment information and production personnel information; S2. Using a networking algorithm to store product information into a multi-branch tree structure, the root node of the multi-branch tree structure is the target product, and the remaining nodes are sub-products corresponding to different levels; S3. Perform fault tracing and location according to the multi-branch tree structure.

2. The manufacturing process fault tracing and locating method according to claim 1 is characterized in that: The step of tracing and locating the fault source according to the multi-branch tree structure includes: When an abnormal node appears, starting from the nodes corresponding to the sub-product or target product with the quality problem, go down along the multi-branch tree structure, calculate the deviation between the actual value of the key quality data and the standard value of the key quality data of the connected nodes at each level in turn, and judge whether the deviation exceeds the corresponding allowable deviation of the key quality data, until the node where the deviation exceeds the corresponding allowable deviation of the key quality data is found, and it is judged as a faulty node; and / or according to the faulty node, the corresponding production equipment and production personnel information is obtained, and the corresponding production equipment is judged as a faulty production equipment, and the corresponding production personnel is judged as the person responsible for the fault.

3. The manufacturing process fault tracing and locating method according to claim 1 is characterized in that: The step of tracing and locating the fault according to the multi-branch tree structure includes: when an abnormal node appears, obtaining the degree to which the target product is affected by the abnormal node upward along the multi-branch tree structure.

4. The manufacturing process fault tracing and locating method according to claim 1 is characterized in that: A data identification number is configured for each data collection terminal, and the data identification number is used to identify the sub-product, target product corresponding to the data collection terminal and the level of the corresponding sub-product and target product, as well as the key quality data of the corresponding sub-product and target product collected by the data collection terminal; The step of establishing a correspondence between the product information and the corresponding sub-product and target product includes: establishing a correspondence between the product information and the corresponding sub-product and target product according to the data identification number.

5. The manufacturing process fault tracing and locating method according to claim 4 is characterized in that: The steps of using a networking algorithm to store product information as a multi-branch tree structure include: distinguishing leaf nodes of different categories according to corresponding data identification numbers, and constructing nodes of the upper layer layer by layer through the leaf nodes until a root node is constructed.

6. A manufacturing process fault tracing and positioning system, characterized in that: Including data acquisition terminal and data processing system; The data acquisition terminal is used to obtain product information and establish a corresponding relationship between the product information and the corresponding sub-products and target products. The product information includes key quality data of the sub-products and target products, standard values ​​of key quality data, measured values ​​of key quality data, allowable deviations of key quality data, production equipment information and production personnel information; The data processing system is used to store the product information as a multi-branch tree structure and perform fault tracing and location according to the multi-branch tree structure. The root node of the multi-branch tree structure is the target product, and the remaining nodes are sub-products corresponding to different levels.

7. The manufacturing process fault tracing and positioning system according to claim 6, characterized in that: The data acquisition terminal includes: an input module, an identification module, and a control module; The input module is used to input the key quality data of the sub-product and the target product, the standard value of the key quality data, the measured value of the key quality data, and the allowable deviation of the key quality data; The identification module is used to identify the production equipment information and production personnel information corresponding to the sub-product and the target product; The control module is used to establish a corresponding relationship between the acquired product information and the corresponding sub-products and target products.

8. The manufacturing process fault tracing and positioning system according to claim 7, characterized in that: The identification module includes a radio frequency identification submodule and a magnetic induction identification submodule; the radio frequency identification submodule is used to identify the production equipment information of the sub-product and the target product; the magnetic induction identification submodule is used to identify the production personnel information of the sub-product and the target product.

9. The manufacturing process fault tracing and positioning system according to claim 7, characterized in that: The data acquisition terminal also includes a display module, and the display module is used to display product information.

10. The manufacturing process fault tracing and positioning system according to claim 7, characterized in that: The data acquisition terminal further comprises a sub-product information module, and the sub-product information module is used to represent the sub-product corresponding to the data acquired by the data acquisition terminal according to the data identification number.

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