AI-based intelligent supervision system and method for production process of clasp

Abstract

The application relates to the technical field of production management, and discloses an AI-based spring clip production process intelligent supervision system and method, which performs online intelligent detection on the hardness parameter and the elasticity parameter of a target spring clip product material according to the spring clip product material element characteristic data, the spring clip product material metallographic structure image data, the AI algorithm, a hardness characteristic standard material element metallographic combination feature library of the spring clip product material, and an elasticity characteristic standard material element metallographic combination feature library of the spring clip product material, realizes intelligent and accurate calculation of the hardness and the elasticity mechanical property of the spring clip product based on multi-source data fusion of the spring clip product material element characteristic information and the material metallographic structure image, performs comprehensive quality inspection on the production quality of the target spring clip product according to the hardness mechanical property quality inspection data and the elasticity mechanical property quality inspection data of the target spring clip product, and realizes scientific supervision of the spring clip product production process quality based on the spring clip material element characteristics and the spring clip material metallographic structure.

Description

Technical Field

[0001] This invention relates to the technical field of production management, specifically to an AI-based intelligent monitoring system and method for the production process of snap rings. Background Technology

[0002] The core technology of snap ring production process management lies in building a precise, traceable closed-loop system centered on heat treatment. Its core is the precise solidification and monitoring of heat treatment process parameters to ensure the formation of a uniform tempered martensitic structure, which is fundamental to guaranteeing product hardness and elasticity. Management relies on statistical process control for real-time monitoring and early warning of key dimensions and performance, and establishes a full-process batch traceability system from raw materials to finished products. Through strict mold management, rapid mold change technology, and consistent error-proofing and anti-mixing material design, combined with ERP / MES information tools, optimal quality stability and efficiency are achieved under large-scale, multi-specification production. In particular, the snap ring production process emphasizes the monitoring of snap ring hardness and elastic mechanical properties. Existing snap ring production processes cannot achieve scientific and intelligent quality inspection of snap ring product hardness and elastic mechanical properties based on the elemental characteristics and metallographic structure of the snap ring material, reducing the reliability and efficiency of snap ring production quality monitoring.

[0003] Chinese invention patent application CN118537031A discloses a product production supervision system and method based on visual inspection. This system collects historical operating records of industrial equipment, extracts equipment data corresponding to the equipment parameters of the industrial equipment when processing corresponding batches of product parts from these records, calculates the change values ​​of the marked data of the equipment parameters in the historical equipment records, analyzes the impact of equipment parameters on the quality of product parts processed by the industrial equipment under different data conditions, monitors the equipment parameters of the industrial equipment in the current cycle, and evaluates the equipment status of the industrial equipment in the current cycle. It also analyzes the impact of the equipment status of industrial equipment on the production status of industrial products assembled by assembly equipment, and provides intelligent supervision of the industrial product production line. However, the above technical solution cannot scientifically and intelligently supervise product quality by detecting the mechanical characteristics of the products. Summary of the Invention

[0004] (a) Technical problems to be solved To address the problem that existing snap ring production processes cannot achieve scientific and intelligent quality inspection of snap ring products' hardness and elastic mechanical properties based on the elemental characteristics and metallographic structure of snap ring materials, thus reducing the reliability and efficiency of snap ring production quality supervision, this paper aims to achieve the following: efficiently and accurately collect snap ring product material elemental characteristic data and snap ring product metallographic structure image information; intelligently and scientifically analyze snap ring product material hardness and elasticity data based on multimodal parameters; comprehensively judge snap ring production quality based on the hardness and elastic mechanical properties of snap ring products; and improve the intelligence and reliability of snap ring production quality supervision.

[0005] (II) Technical Solution This invention is achieved through the following technical solution: an AI-based intelligent monitoring method for the production process of snap rings, the method comprising the following steps: The following methods were used to collect the characteristic information of the snap ring product, the material element characteristic data of the snap ring product, and the metallographic structure image data of the snap ring product material; the standard material hardness parameter range and standard material elasticity parameter range of the target snap ring product were searched and processed to obtain the standard material hardness data and standard material elasticity data of the target snap ring product. The hardness characteristics of the target snap ring product material were searched and the standard material element metallographic combination feature library was used to perform online detection and processing of the material hardness parameters of the target snap ring product to obtain the material hardness test data of the target snap ring product; the elasticity characteristics of the target snap ring product material were searched and the standard material element metallographic combination feature library was used to perform online detection and processing of the material elasticity parameters of the target snap ring product to obtain the material elasticity test data of the target snap ring product. The hardness and mechanical properties of the target snap ring product are inspected to obtain hardness and mechanical property quality inspection data; the elastic mechanical properties of the target snap ring product are inspected to obtain elastic mechanical property quality inspection data; based on the hardness and elastic mechanical properties of the snap ring product, the production quality of the target snap ring product is inspected to obtain production quality quality inspection data, and the production quality feedback operation of the snap ring product is executed.

[0006] Preferably, the steps of separately collecting the characteristic information of the snap ring product, the elemental characteristic data of the snap ring product material, and the metallographic structure image data of the snap ring product material; and separately searching and processing the standard material hardness parameter range and standard material elasticity parameter range of the target snap ring product to obtain the standard material hardness data and standard material elasticity data of the target snap ring product include the following steps: The production monitoring platform obtains the specifications, models, and user text information of the target snap ring products currently being manufactured on the production line online, and generates snap ring product characteristic information. The production monitoring platform includes any one of the following professional MES systems: JianDaoYun ERP production management system, Kingdee KIS, and SaiYi MES. A direct-reading spectrometer is used online to measure and process the material element types and contents of the target snap ring products, generating material element characteristic data. This data includes iron type and its iron content, carbon type and its carbon content, silicon type and its silicon content, manganese type and its manganese content, chromium type and its chromium content, and vanadium type and its vanadium content. The units for iron, carbon, silicon, manganese, chromium, and vanadium contents are all percentages. The internal metallographic structure images of the target snap ring products are obtained online using sample preparation equipment and a metallographic microscope. The data is collected and processed to generate metallographic structure image data of the snap ring product material. The sample preparation equipment includes a metallographic cutting machine, a metallographic mounting machine, an automatic grinding and polishing machine, a polishing device, and an etching device. Specifically, the metallographic cutting machine uses diamond or alumina grinding wheels to cut snap ring material samples from the snap ring product under coolant protection; the metallographic mounting machine is used to mount and fix the snap ring material samples in cylindrical phenolic resin plastic; the automatic grinding and polishing machine is used to grind the mounted snap ring material samples sequentially on wet sandpaper of different grits to remove cutting marks; the polishing device lays the ground snap ring material samples on a turntable with polishing cloth and diamond polishing paste to obtain a scratch-free mirror surface; the etching device wipes the polished snap ring material sample mirror surface with a chemical reagent and air-dries it using a ventilation device, wherein the chemical reagent refers to a 2%-4% nitric acid alcohol solution; and a metallographic microscope is used to collect and process the metallographic structure feature images of the internal structure of the snap ring material samples processed by the sample preparation equipment. Based on the characteristic information of the snap ring product, the standard material hardness parameter range and standard material elasticity parameter range of the target snap ring product are searched and processed to obtain the standard material hardness data and standard material elasticity data of the target snap ring product.

[0007] Preferably, the step of searching for the standard material hardness parameter range and standard material elasticity parameter range of the target circlip product based on the product feature information to obtain the standard material hardness data and standard material elasticity data of the target circlip product includes the following steps: Obtain the characteristic information of the snap ring product; The production monitoring platform searches for the standard material hardness parameter range requirements and standard material elasticity parameter range requirements of the target circlip product based on the product's characteristic information. It then generates standard material hardness data and standard material elasticity data for the target circlip product. The standard material hardness data represents the standard material hardness parameter range value of the target circlip product, and the unit of the standard material hardness data is Rockwell hardness. The standard material elasticity data includes the standard elastic modulus parameter range value, standard yield strength parameter range value, standard tensile strength parameter range value, and standard elastic limit parameter range value of the target circlip product, and the unit of the standard material elasticity data is megapascals (MPa).

[0008] Preferably, the steps of searching the standard material element metallographic combination feature library for the hardness characteristics of the circlip product material, performing online detection processing on the material hardness parameters of the target circlip product to obtain the material hardness test data of the target circlip product; and searching the standard material element metallographic combination feature library for the elasticity characteristics of the circlip product material, performing online detection processing on the material elasticity parameters of the target circlip product to obtain the material elasticity test data of the target circlip product include the following steps: Based on the characteristic information of the snap ring product, a standard material element metallographic combination feature library for the hardness characteristics of the snap ring product material is searched. Based on the material element characteristic data of the snap ring product material, the metallographic structure image data of the snap ring product material, and the standard material element metallographic combination feature library for the hardness characteristics of the snap ring product material, the material hardness parameter of the target snap ring product is detected online to obtain the material hardness detection data of the target snap ring product. Based on the product feature information of the snap ring, a standard material element metallographic combination feature library of the snap ring product material elasticity characteristics is searched. According to the material element feature data of the snap ring product, the metallographic structure image data of the snap ring product material, and the standard material element metallographic combination feature library of the snap ring product material elasticity characteristics, the material elasticity parameter of the target snap ring product is detected online to obtain the material elasticity detection data of the target snap ring product.

[0009] Preferably, the step of searching for the standard material element metallographic combination feature library of the snap ring product material hardness feature based on the snap ring product feature information, and performing online detection processing of the material hardness parameter of the target snap ring product according to the material element feature data of the snap ring product, the metallographic structure image data of the snap ring product material, and the standard material element metallographic combination feature library of the snap ring product material hardness feature to obtain the target snap ring product material hardness detection data includes the following steps: The production monitoring platform searches for a database of material element characteristics, metallographic images of the internal structure of the material, and the mapping relationship between the material hardness parameters of the target circlip product and the product's material characteristics based on the circlip product's feature information. It then generates a standard material element metallographic combination feature library for circlip product material hardness characteristics. The include ,Right now ,in Indicates the target circlip product number The standard material element metallographic combination feature data of snap ring products corresponding to the metallographic feature combination type of material element is: the metallographic feature combination type of material element represents an index data type formed by combining the material element type information, material element content information, and internal metallographic structure image information of the target snap ring product to search for the material hardness parameter of the snap ring product; the standard material element metallographic combination feature data of snap ring product material hardness represents the standard snap ring product material hardness parameter set for different metallographic feature combination types of material element for the target snap ring product, wherein the unit of the standard snap ring product material hardness parameter is Rockwell hardness; The material element characteristic data of the snap ring product, the metallographic structure image data of the snap ring product material, and the data are compared with the data from the previous process. The above The textual information of the material element characteristics of the snap ring product is matched with the metallographic structure image information of the material, and the matching data of the material element characteristics and metallographic structure image of the snap ring product are searched. The corresponding hardness parameters of the snap ring product material are used to generate the target snap ring product material hardness test data after data identification; The specific steps for generating the target snap ring product material hardness test data are as follows: Step 2121: Initialization, define the relevant structural parameters as vectors, and set the... All of the above in the search space Defined as The solution to the dimensional optimization problem, the material hardness search sandcat representation problem solution is 1× Array, each variable value They are all floating-point numbers, each variable value to It is located in the Between the lower and upper bounds of the search space, the fitness of each material hardness search sand cat is obtained through the fitness function of the problem to be solved; Step 2122: Searching for prey. The final and main parameters controlling the transition between the exploration and development phases are... ,when When >1, the material hardness search sandcat is in the above Search the search space to find the elemental characteristic data of the material of the snap ring product and the metallographic structure image data of the material of the snap ring product. The material hardness search sandcat search process relies on the release of low-frequency noise. Assuming the sensitivity range of the material hardness search sandcat... From 0 to 2kHz, This indicates a search for the auditory factors of a sand cat based on material hardness, assuming... The value is 2. This represents the current iteration number. The maximum number of iterations is given by `rand(0,1)`, which represents a random number between 0 and 1. The relation is: , ,in Represents the sensitivity vector; each material hardness search sand cat is based on the best candidate position. and current location and its sensitivity range Update your own location, that is, in the above Search the search space for the elemental characteristics of the material of the circlip product and the metallographic structure image data of the circlip product material that best match the search space. The location; the formula for calculating the location is as follows: ,in This indicates that the sand cat individual in the material hardness search during iteration t+1 is described in [the context of the previous sentence]. The current position in the search space. Indicates the t-th iteration of the material hardness search sandcat in the... The best candidate position in the search space; Step 2123, Attack the prey, when When ≤1, the material hardness search sand cat is in the above Search within the search space, utilizing the best candidate position. With current location Generate a random location, that is, in the Randomly search the search space to find the elemental characteristics of the material of the snap ring product and the metallographic structure image data of the material of the snap ring product. The random location is assumed to be a circle for the sensitivity range of the material hardness search sand cat. A roulette wheel method is used to randomly select a corner for each material hardness search sand cat. , to carry out the above The search for random positions is calculated using the following formula: ,in Represents the sensitivity vector. Indicates angle The cosine value, The material hardness search for the sand cat is in the above The random location in the search space allows the material hardness search sand cat to approach and attack its prey, that is, in the... Search the search space to find the elemental characteristic data of the material of the snap ring product and the metallographic structure image data of the material of the snap ring product. ; Step 2124: When the search algorithm reaches the maximum number of iterations, output the data that matches the elemental feature data of the snap ring product material and the metallographic structure image data of the snap ring product material. The corresponding snap ring product material hardness parameters are used to generate target snap ring product material hardness test data after data identification; otherwise, the iteration continues until the maximum number of iterations is met. The target snap ring product material hardness test data represents the material hardness data of the snap ring products currently being manufactured on the snap ring production line, and the unit of the target snap ring product material hardness test data is Rockwell hardness.

[0010] Preferably, the step of searching for the standard material element metallographic combination feature library of the snap ring product material elasticity characteristics based on the snap ring product feature information, and performing online detection processing of the material elasticity parameters of the target snap ring product according to the material element feature data of the snap ring product, the metallographic structure image data of the snap ring product material, and the standard material element metallographic combination feature library of the snap ring product material elasticity characteristics to obtain the material elasticity detection data of the target snap ring product includes the following steps: The production monitoring platform searches for a database of material element characteristics, metallographic images of the internal structure of the material, and mapping relationships between the material elastic parameters of the target circlip product based on the product's feature information. This database then generates a standard material element metallographic combination feature library for the circlip product's material elastic characteristics. The include ,Right now ,in Indicates the target circlip product number The standard material element metallographic combination feature data of the snap ring product material elasticity characteristics corresponding to the various material element metallographic feature combination types; the material element metallographic feature combination type represents an index data type formed by combining the material element type information, material element content information, and internal metallographic structure image information of the target snap ring product to search for the material elasticity parameters of the snap ring product; the standard material element metallographic combination feature data of the snap ring product material elasticity characteristics represents the standard snap ring product material elasticity parameters set for different material element metallographic feature combination types of the target snap ring product, wherein the standard snap ring product material elasticity parameters include the snap ring product elastic modulus parameter, yield strength parameter, tensile strength parameter, and standard elastic limit parameter, and the unit of the standard snap ring product material elasticity parameters is megapascals; The material element characteristic data of the snap ring product, the metallographic structure image data of the snap ring product material, and the data are compared with the data from the previous process. The above The textual information of the material element characteristics of the snap ring product is matched with the metallographic structure image information of the material, and the matching data of the material element characteristics and metallographic structure image of the snap ring product are searched. The corresponding snap ring product material elasticity parameters are used to generate target snap ring product material elasticity test data after data identification. The target snap ring product material elasticity test data represents the material elasticity data of the snap ring products currently being manufactured on the snap ring production line. The target snap ring product material elasticity test data includes the elastic modulus parameter, yield strength parameter, tensile strength parameter, and standard elastic limit parameter of the target snap ring product. The unit of the target snap ring product material elasticity test data is megapascals.

[0011] Preferably, the process of performing quality inspection on the hardness and mechanical properties of the target snap ring product to obtain hardness and mechanical property quality inspection data; performing quality inspection on the elastic mechanical properties of the target snap ring product to obtain elastic mechanical property quality inspection data; and performing quality inspection on the production quality of the target snap ring product based on its hardness and elastic mechanical properties to obtain production quality quality inspection data and performing production quality feedback operations includes the following steps: Based on the standard material hardness data and the material hardness test data of the target circlip product, the hardness mechanical properties of the target circlip product are inspected to obtain the hardness mechanical properties quality inspection data of the target circlip product; based on the standard material elasticity data and the material elasticity test data of the target circlip product, the elasticity mechanical properties of the target circlip product are inspected to obtain the elasticity mechanical properties quality inspection data of the target circlip product. Based on the hardness mechanical property quality inspection data and the elastic mechanical property quality inspection data of the target snap ring product, the production quality inspection of the target snap ring product is carried out to obtain the production quality inspection data of the target snap ring product and to perform the production quality feedback operation of the snap ring product.

[0012] Preferably, the step of performing hardness mechanical property quality inspection on the target circlip product based on the standard material hardness data and the target circlip product material hardness test data to obtain hardness mechanical property quality inspection data of the target circlip product; and the step of performing elastic mechanical property quality inspection on the target circlip product based on the standard material elasticity data and the target circlip product material elasticity test data to obtain elastic mechanical property quality inspection data of the target circlip product includes the following steps: The hardness test data of the target snap ring product material is compared with the hardness data of the standard material of the target snap ring product. Based on the comparison results of the hardness values ​​of the snap ring product material, the mechanical property quality inspection data of the target snap ring product hardness is generated. When the hardness test data of the target snap ring product material is successfully compared with the hardness data of the standard material of the target snap ring product, it indicates that the mechanical properties of the material hardness of the snap ring product currently being manufactured by the snap ring production line meet the specification requirements, and the hardness mechanical properties quality inspection data of the target snap ring product is output as qualified. If the hardness test data of the target snap ring product material fails to be compared with the standard material hardness data of the target snap ring product, it indicates that the mechanical properties of the material hardness of the snap ring product currently being manufactured by the snap ring production line do not meet the specifications, and the hardness mechanical properties quality inspection data of the target snap ring product is output as unqualified. The standard material elasticity data of the target snap ring product is compared with the material elasticity test data of the target snap ring product to obtain the material elasticity value of the snap ring product. Based on the material elasticity value comparison result, the elastic mechanical performance quality inspection data of the target snap ring product is generated. When the material elasticity data of the target snap ring product is successfully compared with the material elasticity test data of the target snap ring product, it indicates that the material elasticity mechanical properties of the snap ring products currently being manufactured by the snap ring production line meet the specification requirements, and the quality inspection data of the elasticity mechanical properties of the target snap ring product is output as qualified. If the comparison between the standard material elasticity data and the material elasticity test data of the target snap ring product fails, it indicates that the material elasticity mechanical properties of the snap ring products currently being manufactured on the snap ring production line do not meet the specifications, and the quality inspection data of the elasticity mechanical properties of the target snap ring product will be output as unqualified.

[0013] Preferably, the step of performing production quality inspection processing on the target snap ring product based on the hardness mechanical property quality inspection data and the elastic mechanical property quality inspection data to obtain the target snap ring product production quality inspection data and perform snap ring product production quality feedback operation includes the following steps: Based on the hardness mechanical property quality inspection data and the elastic mechanical property quality inspection data of the target snap ring product, the production quality inspection data of the target snap ring product is obtained by performing production quality inspection processing on the target snap ring product. When both the hardness mechanical property quality inspection data and the elastic mechanical property quality inspection data of the target snap ring product are qualified, it means that the hardness and elastic mechanical properties of the snap ring products currently being manufactured by the snap ring production line meet the quality specifications of snap ring products. In this case, the output of the production quality inspection data of the target snap ring product is qualified. If there are any non-compliance issues in the hardness mechanical property quality inspection data and the elastic mechanical property quality inspection data of the target snap ring product, it indicates that the hardness and / or elastic mechanical properties of the snap ring product material currently being manufactured by the snap ring production line do not meet the quality specification requirements of the snap ring product. In this case, the production quality inspection data of the target snap ring product will be output as non-compliance. The production quality inspection data of the target snap ring product is pushed to the production monitoring platform through the Internet of Things communication network, and output on the display screen to perform the snap ring product production quality feedback operation.

[0014] This invention also provides an AI-based intelligent monitoring system for the snap ring production process, used to implement the above-mentioned AI-based intelligent monitoring method for the snap ring production process. The system includes a snap ring production standard positioning module, a snap ring product material hardness and elasticity analysis module, and a snap ring product production quality assessment module. The snap ring manufacturing standard positioning module includes: The snap ring product information collection unit collects snap ring product characteristic information through the production monitoring platform; The snap ring product material element characteristic acquisition unit acquires snap ring product material element characteristic data through a direct-reading spectrometer; The metallographic structure image acquisition unit for snap ring products acquires metallographic structure image data of snap ring product materials through sample preparation equipment and metallographic microscope. The standard material hardness search unit for snap ring products performs a search process on the standard material hardness parameter range of the target snap ring product based on the snap ring product feature information and in conjunction with the production monitoring platform, to obtain the standard material hardness data of the target snap ring product. The standard material elasticity search unit for snap ring products performs standard material elasticity parameter range search processing on the target snap ring product based on the snap ring product feature information and in conjunction with the production monitoring platform, to obtain the standard material elasticity data of the target snap ring product. The material hardness and elasticity analysis module for the snap ring product includes: The snap ring product material hardness characteristic standard material element metallographic combination feature library search unit searches the snap ring product material hardness characteristic standard material element metallographic combination feature library based on the snap ring product feature information and in combination with the production supervision platform. The snap ring product material elasticity characteristic standard material element metallographic combination feature library search unit searches for the snap ring product material elasticity characteristic standard material element metallographic combination feature library based on the snap ring product feature information and in combination with the production monitoring platform. The snap ring product material hardness testing unit performs online detection and processing of the material hardness parameters of the target snap ring product based on the material element feature data of the snap ring product, the metallographic structure image data of the snap ring product, and the material element metallographic combination feature library of the snap ring product material hardness feature standard material element, and obtains the material hardness test data of the target snap ring product. The snap ring product material elasticity testing unit performs online detection and processing of the material elasticity parameters of the target snap ring product based on the material element feature data of the snap ring product, the metallographic structure image data of the snap ring product, and the standard material element metallographic combination feature library of the snap ring product material elasticity characteristics, to obtain the material elasticity testing data of the target snap ring product. The snap ring product manufacturing quality assessment module includes: The hardness and mechanical properties quality inspection unit of the snap ring product performs hardness and mechanical properties quality inspection processing on the target snap ring product based on the standard material hardness data and the material hardness test data of the target snap ring product, and obtains the hardness and mechanical properties quality inspection data of the target snap ring product. The elastic mechanical performance quality inspection unit for snap ring products performs quality inspection processing on the elastic mechanical performance of the target snap ring product based on the standard material elasticity data and the material elasticity test data of the target snap ring product, and obtains the elastic mechanical performance quality inspection data of the target snap ring product. The snap ring product manufacturing quality inspection unit performs manufacturing quality inspection processing on the target snap ring product based on the hardness mechanical property quality inspection data and the elastic mechanical property quality inspection data of the target snap ring product, and obtains the target snap ring product manufacturing quality inspection data. The snap ring product production quality feedback unit performs snap ring product production quality feedback operations based on the target snap ring product production quality inspection data and in conjunction with the production monitoring platform and display screen.

[0015] (III) Beneficial Effects This invention provides an AI-based intelligent monitoring system and method for the production process of snap rings. It has the following beneficial effects: I. By efficiently acquiring online information on snap ring products, including material element types and content, as well as metallographic structure images, through a production monitoring platform, direct-reading spectrometer, sample preparation equipment, and metallographic microscope, reliable data support is provided for online scientific quality inspection of snap ring products' hardness and elastic mechanical properties. Based on snap ring product characteristic information and combined with the production monitoring platform, precise searches are performed for the standard material hardness parameter range and standard material elastic parameter range of target snap ring products. This enables the construction of standard material hardness and elastic parameter ranges for snap ring products based on product differences, improving the scientific nature of the quality inspection process for snap ring product hardness and elastic mechanical properties.

[0016] Second, based on the characteristic information of snap ring products and combined with the production supervision platform, the system efficiently searches for standard material element metallographic combination feature libraries for the hardness characteristics of snap ring products and standard material element metallographic combination feature libraries for the elastic characteristics of snap ring products. This enables the efficient and autonomous establishment of a database mapping relationships between snap ring material elements, metallographic structure combination features, and hardness and elasticity parameters of snap ring products. Based on the material element characteristic data and metallographic structure image data of snap ring products, combined with AI algorithms and the standard material element metallographic combination feature libraries for hardness and elasticity characteristics established based on big data, the system performs online intelligent detection of the hardness and elasticity parameters of target snap ring products. This achieves intelligent and accurate calculation of the hardness and elastic mechanical properties of snap ring products based on multi-source data fusion of material element characteristic information and metallographic structure images, reducing the workload of quality inspection and supervision of snap ring product hardness and elastic mechanical properties, and improving the production quality of snap ring products.

[0017] Third, based on the hardness and elasticity data of the target snap ring product's standard materials and the hardness and elasticity test data of the target snap ring product's materials, conduct efficient and scientific quality inspection of the hardness and elasticity mechanical properties of the target snap ring product; based on the hardness and elasticity mechanical property quality inspection data of the target snap ring product, conduct comprehensive quality inspection of the target snap ring product's production process, realizing scientific supervision of the snap ring product's production process quality based on the elemental characteristics and metallographic structure of the snap ring material; based on the target snap ring product's production quality inspection data and combined with the production supervision platform and display screen, autonomously and efficiently execute snap ring product production quality feedback operations, improving the intuitiveness and applicability of snap ring product production process quality supervision. Attached Figure Description

[0018] Figure 1 A flowchart of the AI-based intelligent monitoring method for snap ring production process provided by the present invention; Figure 2 A schematic diagram of the modules of the AI-based intelligent monitoring system for the production process of snap rings provided by the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] An embodiment of the AI-based intelligent monitoring system and method for the production process of snap rings is as follows: Example 1 Please see Figure 1 An AI-based intelligent monitoring method for the production process of snap rings includes the following steps: Step 1: Collect the characteristic information of the snap ring product, the material element characteristic data of the snap ring product, and the metallographic structure image data of the snap ring product material respectively; search and process the standard material hardness parameter range and standard material elasticity parameter range of the target snap ring product respectively to obtain the standard material hardness data and standard material elasticity data of the target snap ring product. Step 2: Search the standard material element metallographic combination feature library for the hardness characteristics of the target circlip product material, perform online detection processing on the material hardness parameters of the target circlip product, and obtain the material hardness test data of the target circlip product material; search the standard material element metallographic combination feature library for the elasticity characteristics of the target circlip product material, perform online detection processing on the material elasticity parameters of the target circlip product, and obtain the material elasticity test data of the target circlip product material. Step 3: Perform quality inspection on the hardness and mechanical properties of the target snap ring product to obtain hardness and mechanical property quality inspection data; perform quality inspection on the elastic mechanical properties of the target snap ring product to obtain elastic mechanical property quality inspection data; perform quality inspection on the production quality of the target snap ring product based on its hardness and elastic mechanical properties to obtain production quality quality inspection data and execute production quality feedback operation.

[0021] Furthermore, step 1 includes the following steps: Step 11: Obtain the specifications, model, and user text information of the target snap ring products currently being manufactured on the production line through the online production monitoring platform, and generate snap ring product characteristic information. The production monitoring platform includes any one of the following professional MES systems: JianDaoYun ERP Production Management System, Kingdee KIS, and SaiYi MES. Measure and process the material element types and contents of the target snap ring products online using a direct-reading spectrometer, and generate material element characteristic data for the snap ring products. This data includes the type and content of iron, carbon, silicon, manganese, chromium, and vanadium. The units for iron, carbon, silicon, manganese, chromium, and vanadium contents are all percentages. Collect and process images of the internal metallographic structure of the target snap ring products online using sample preparation equipment and a metallographic microscope, and generate metallographic structure image data of the snap ring products. Sample preparation equipment includes a metallographic cutting machine, metallographic mounting machine, automatic grinding and polishing machine, polishing equipment, and etching equipment. Among them, metallographic cutting machine: using diamond or alumina grinding wheel, to cut circlip material samples from circlip products under the protection of coolant; Metallographic mounting machine: used to mount and fix snap ring material samples in cylindrical phenolic resin plastic; Automatic grinding and polishing machine: used to grind the embedded and fixed snap ring material sample on wet sandpaper of different grits in turn to remove cutting marks; Polishing equipment: The ground circlip material sample is laid on a turntable with polishing cloth and diamond polishing paste and polished to obtain a mirror surface without any scratches; Etching equipment: The polished snap ring material sample is wiped with a chemical reagent and air-dried using a ventilation device. The chemical reagent refers to a 2%-4% nitric acid alcohol solution. Metallurgical microscope is used to acquire and process the metallographic features of the internal structure of the snap ring material sample after it has been processed by the sample preparation equipment. Step 12: Based on the characteristic information of the snap ring product, search and process the standard material hardness parameter range and standard material elasticity parameter range of the target snap ring product to obtain the standard material hardness data and standard material elasticity data of the target snap ring product.

[0022] Step 12 above includes the following steps: Step 121: Obtain the product feature information of the snap ring; Step 122: Using the production monitoring platform, search for the standard material hardness parameter range requirements and standard material elasticity parameter range requirements of the target circlip product based on its product characteristic information, and generate the standard material hardness data and standard material elasticity data for the target circlip product. The standard material hardness data represents the standard material hardness parameter range values ​​for the target circlip product, and the unit for the standard material hardness data is Rockwell hardness. The standard material elasticity data includes the standard elastic modulus parameter range values, standard yield strength parameter range values, standard tensile strength parameter range values, and standard elastic limit parameter range values ​​for the target circlip product, and the unit for the standard material elasticity data is megapascals (MPa).

[0023] By efficiently acquiring information on snap ring products, including material element types and content, as well as metallographic structure images, online through a production monitoring platform, direct-reading spectrometer, sample preparation equipment, and metallographic microscope, reliable data support is provided for online scientific quality inspection of snap ring products' hardness and elastic mechanical properties. Based on snap ring product characteristic information and combined with the production monitoring platform, precise searches are performed for the standard material hardness parameter range and standard material elasticity parameter range of target snap ring products. This enables the construction of standard material hardness and elasticity parameter ranges for snap ring products based on product differences, improving the scientific nature of the quality inspection process for snap ring product hardness and elastic mechanical properties.

[0024] Furthermore, step 2 includes the following steps: Step 21: Based on the characteristic information of the snap ring product, search for the standard material element metallographic combination feature library of the snap ring product material hardness characteristics. According to the material element characteristic data of the snap ring product, the metallographic structure image data of the snap ring product material, and the standard material element metallographic combination feature library of the snap ring product material hardness characteristics, perform online detection processing of the material hardness parameters of the target snap ring product to obtain the material hardness detection data of the target snap ring product. Step 22: Based on the characteristic information of the snap ring product, search for the standard material element metallographic combination feature library of the snap ring product material elasticity characteristics. Based on the material element characteristic data of the snap ring product material, the metallographic structure image data of the snap ring product material, and the standard material element metallographic combination feature library of the snap ring product material elasticity characteristics, perform online detection processing of the material elasticity parameters of the target snap ring product to obtain the material elasticity detection data of the target snap ring product.

[0025] Step 21 above specifically includes the following steps: Step 211: Using the production monitoring platform, search for the material element characteristics of the target snap ring product, the mapping relationship between the metallographic structure image of the material and the material hardness parameters of the snap ring product, and generate a standard material element metallographic combination feature library for the material hardness characteristics of snap ring products. , ,in Indicates the target circlip product number Standard material element metallographic combination characteristic data for snap ring products corresponding to the metallographic characteristic combination type of material element; The material element metallographic feature combination type represents an index data type used to search for the material hardness parameters of the target snap ring product, based on the combination of material element type information, material element content information, and internal metallographic structure image information of the material. The snap ring product material hardness feature standard material element metallographic combination feature data represents the standard snap ring product material hardness parameters set for different material element metallographic feature combination types for the target snap ring product, where the unit of the standard snap ring product material hardness parameters is Rockwell hardness. Step 212: Combine the elemental characteristic data of the snap ring product material, the metallographic structure image data of the snap ring product material, and the metallographic combination feature library of the standard material element for the hardness characteristics of the snap ring product material. In The textual information on the material element characteristics of circlip products is matched with the metallographic structure image information to find products that match the material element characteristics and metallographic structure image data of circlip products. The corresponding hardness parameters of the snap ring product material are used to generate the target snap ring product material hardness test data after data identification. The specific operation steps for generating the target snap ring product material hardness test data are as follows: Step 2121: Initialization. Define the relevant structural parameters as vectors and use the standard material element metallographic combination feature library for the snap ring product material hardness characteristics. The search space contains material hardness characteristics, standard material element metallographic combination characteristics, and data for all snap ring products. Defined as The solution to the dimensional optimization problem, the material hardness search sandcat representation problem solution is 1× Array, each variable value They are all floating-point numbers, each variable value to It is located in the material hardness characteristic standard material element metallographic combination characteristic library of snap ring products. Between the lower and upper bounds of the search space, the fitness of each material hardness search sand cat is obtained through the fitness function of the problem to be solved; Step 2122: Searching for prey. The final and main parameters controlling the transition between the exploration and development phases are: ,when When the value is >1, the material hardness search results for "Sandcat" in the material hardness characteristic standard material element metallographic combination characteristic library for snap ring products are available. The search space was used to find data matching the elemental characteristics of the snap ring material and the metallographic structure image data of the snap ring material. ; The material hardness search sandcat search process relies on the release of low-frequency noise, assuming the sensitivity range of the material hardness search sandcat... From 0 to 2kHz, This indicates the material hardness and the search for the auditory factor of a sand cat, assuming its value is 2. This represents the current iteration number. The maximum number of iterations is given by `rand(0,1)`, which represents a random number between 0 and 1. The relation is: , ,in Represents the sensitivity vector; each material hardness search sand cat is based on the best candidate position. and current location and its sensitivity range Update its position, that is, in the material hardness characteristic standard material element metallographic combination characteristic library of snap ring products. The search space was used to find the best match between the elemental characteristics of the snap ring material and the metallographic structure image data of the snap ring material. The location; the formula for calculating the location is as follows: ,in This indicates that in iteration t+1, the search for the sand cat individual in the spring clip product material hardness feature standard material element metallographic combination feature library is performed. The current position in the search space. This indicates that the t-th iteration of the material hardness search is performed on the sand cat in the spring clip product material hardness feature standard material element metallographic combination feature library. The best candidate position in the search space; Step 2123, Attack the prey, when When the hardness is ≤1, the material hardness search results are found in the material hardness characteristic standard material element metallographic combination characteristic library for snap ring products. Search within the search space, utilizing the best candidate position. With current location Generate a random location, that is, in the material hardness characteristic standard material element metallographic combination characteristic library of snap ring products. Randomly search the search space to find materials that match the elemental characteristics and metallographic structure images of the snap ring products. The random location, assuming material hardness, is used to search for the sensitivity range of the sand cat. It is a circle, and the standard material element metallographic combination feature library is used for the snap ring product material hardness characteristics. The search uses a roulette wheel method to randomly select a corner for each material hardness search sand cat. The formula for calculating the random position is as follows: ,in Represents the sensitivity vector. Indicates angle cosine value, The search query for "Sandcat" in the context of spring clip products indicates the material hardness characteristics, standard material elements, and metallographic combination features. The random position in the search space causes the sand cat to approach and attack its prey, which is the material hardness feature standard material element metallographic combination feature library of the snap ring product material hardness feature. The search space was used to find data matching the elemental characteristics of the snap ring material and the metallographic structure image data of the snap ring material. ; Step 2124: When the search algorithm reaches its maximum number of iterations, output the data that matches the elemental characteristics of the snap ring material and the metallographic structure image data of the snap ring material. The corresponding snap ring product material hardness parameters are used to generate target snap ring product material hardness test data after data identification. Otherwise, the iteration continues until the maximum number of iterations is met. The target snap ring product material hardness test data represents the material hardness data of the snap ring products currently being manufactured on the snap ring production line. The unit of the target snap ring product material hardness test data is Rockwell hardness.

[0026] Step 22 above specifically includes the following steps: Step 221: Using the production monitoring platform, search for the material element characteristics of the target snap ring product, the metallographic structure image of the material, and the mapping relationship between the material elastic parameters of the snap ring product and the material element metallographic combination feature library based on the snap ring product feature information. , ,in Indicates the target circlip product number The standard material element metallographic combination feature data represents the elastic characteristics of the snap ring product corresponding to the metallographic feature combination type of the material element. The material element metallographic feature combination type represents the index data type used to search for the elastic parameters of the snap ring product, which is formed by combining the material element type information, material element content information, and internal metallographic structure image information of the target snap ring product. The standard material element metallographic combination feature data represents the standard snap ring product material elastic parameters set for different material element metallographic feature combination types of the target snap ring product. The standard snap ring product material elastic parameters include the elastic modulus parameter, yield strength parameter, tensile strength parameter, and standard elastic limit parameter of the snap ring product. The unit of the standard snap ring product material elastic parameters is megapascal. Step 222: Combine the elemental characteristic data of the snap ring product material, the metallographic structure image data of the snap ring product material, and the metallographic combination feature library of the standard material elements for the elastic characteristics of the snap ring product material. In The textual information on the material element characteristics of circlip products is matched with the metallographic structure image information to find products that match the material element characteristics and metallographic structure image data of circlip products. The corresponding snap ring product material elasticity parameters are used to generate target snap ring product material elasticity test data after data identification. The target snap ring product material elasticity test data represents the material elasticity data of the snap ring products currently being manufactured on the snap ring production line. The target snap ring product material elasticity test data includes the elastic modulus parameter, yield strength parameter, tensile strength parameter and standard elastic limit parameter of the target snap ring product; the unit of the target snap ring product material elasticity test data is megapascals.

[0027] Based on the characteristic information of snap ring products and combined with the production supervision platform, a database of standard material element metallographic combination features for the hardness characteristics of snap ring products and a database of standard material element metallographic combination features for the elastic characteristics of snap ring products are efficiently and autonomously established. This enables the efficient and autonomous creation of a database mapping relationships between snap ring material elements, metallographic structure combination features, and hardness and elasticity parameters of snap ring products. Based on the material element characteristic data and metallographic structure image data of snap ring products, combined with AI algorithms and the standard material element metallographic combination feature databases for hardness and elasticity characteristics established based on big data, online intelligent detection of the hardness and elasticity parameters of target snap ring products is performed. This achieves intelligent and accurate calculation of the hardness and elastic mechanical properties of snap ring products based on multi-source data fusion of material element characteristic information and metallographic structure images, reducing the workload of quality inspection and supervision of snap ring product hardness and elastic mechanical properties, and improving the production quality of snap ring products.

[0028] Furthermore, step 3 above specifically includes the following steps: Step 31: Based on the standard material hardness data and the material hardness test data of the target circlip product, perform hardness mechanical property quality inspection processing on the target circlip product to obtain hardness mechanical property quality inspection data; based on the standard material elasticity data and the material elasticity test data of the target circlip product, perform elasticity mechanical property quality inspection processing on the target circlip product to obtain elasticity mechanical property quality inspection data. Step 32: Based on the hardness mechanical property quality inspection data and elastic mechanical property quality inspection data of the target snap ring product, perform production quality inspection processing on the target snap ring product to obtain the production quality inspection data of the target snap ring product and execute the production quality feedback operation of the snap ring product.

[0029] Step 31 above specifically includes the following steps: Step 311: Compare the hardness test data of the target snap ring product material with the hardness data of the standard material of the target snap ring product, and generate the mechanical property quality inspection data of the target snap ring product hardness based on the comparison results. When the hardness test data of the target snap ring product material is successfully compared with the hardness data of the standard material of the target snap ring product, it means that the mechanical properties of the material of the snap ring product currently being manufactured by the snap ring production line meet the specification requirements, and the output hardness mechanical properties quality inspection data of the target snap ring product is qualified. If the hardness test data of the target snap ring product material fails to be compared with the hardness data of the standard material of the target snap ring product, it means that the mechanical properties of the material of the snap ring product currently being manufactured by the snap ring production line do not meet the specifications, and the output hardness mechanical properties quality inspection data of the target snap ring product is unqualified. Step 312: Compare the standard material elasticity data of the target snap ring product with the material elasticity test data of the target snap ring product, and generate the elastic mechanical performance quality inspection data of the target snap ring product based on the comparison results. When the comparison between the standard material elasticity data and the material elasticity test data of the target snap ring product is successful, it indicates that the material elasticity mechanical properties of the snap ring products currently being manufactured by the snap ring production line meet the specification requirements, and the output elasticity mechanical properties quality inspection data of the target snap ring product is qualified. If the comparison between the standard material elasticity data and the material elasticity test data of the target circlip product fails, it indicates that the material elastic mechanical properties of the circlip products currently being manufactured on the circlip production line do not meet the specifications, and the output quality inspection data of the elastic mechanical properties of the target circlip product will be unqualified.

[0030] Step 32 above specifically includes the following steps: Step 321: Based on the hardness mechanical property quality inspection data and elastic mechanical property quality inspection data of the target snap ring product, perform production quality inspection processing on the target snap ring product to obtain the production quality inspection data of the target snap ring product. When both the hardness mechanical properties and elastic mechanical properties of the target snap ring product are qualified, it means that the hardness and elastic mechanical properties of the snap ring material currently being manufactured by the snap ring production line meet the quality specifications of the snap ring product, and the output quality inspection data of the target snap ring product is qualified. When there are non-compliance in the hardness mechanical property quality inspection data and the elastic mechanical property quality inspection data of the target snap ring product, it means that the hardness and / or elastic mechanical properties of the snap ring product material currently being manufactured by the snap ring production line do not meet the quality specification requirements of the snap ring product, and the output of the target snap ring product production quality inspection data is non-compliance. Step 322: Push the production quality inspection data of the target snap ring product to the production monitoring platform through the Internet of Things communication network, and output the snap ring product production quality feedback operation with the display screen.

[0031] Based on the hardness and elasticity data of the target snap ring product's standard materials and the test data of the target snap ring product's material hardness and elasticity, efficient and scientific quality inspection of the hardness and elasticity mechanical properties of the target snap ring product is carried out; based on the hardness and elasticity mechanical property quality inspection data of the target snap ring product, comprehensive quality inspection of the production quality of the target snap ring product is carried out, realizing scientific supervision of the snap ring product production process quality based on the elemental characteristics and metallographic structure of the snap ring material; based on the production quality inspection data of the target snap ring product and combined with the production supervision platform and display screen, the production quality feedback operation of the snap ring product is executed autonomously and efficiently, improving the intuitiveness and applicability of the quality supervision of the snap ring product production process.

[0032] Example 2 Please see Figure 2 The AI-based intelligent monitoring system for snap ring production process is used to implement the AI-based intelligent monitoring method for snap ring production process in Example 1. The system includes a snap ring production standard positioning module, a snap ring product material hardness and elasticity analysis module, and a snap ring product production quality assessment module. The standard positioning module for snap ring production includes a snap ring product information acquisition unit, a snap ring product material element feature acquisition unit, a snap ring product material metallographic structure image acquisition unit, a snap ring product standard material hardness search unit, and a snap ring product standard material elasticity search unit. The system comprises the following components: a snap ring product information acquisition unit collects snap ring product characteristic information through a production monitoring platform; a snap ring product material element characteristic acquisition unit collects snap ring product material element characteristic data through a direct-reading spectrometer; a snap ring product material metallographic structure image acquisition unit collects snap ring product material metallographic structure image data through sample preparation equipment and a metallographic microscope; a snap ring product standard material hardness search unit searches for the standard material hardness parameter range of the target snap ring product based on the snap ring product characteristic information and in conjunction with the production monitoring platform, obtaining the standard material hardness data of the target snap ring product; and a snap ring product standard material elasticity search unit searches for the standard material elasticity parameter range of the target snap ring product based on the snap ring product characteristic information and in conjunction with the production monitoring platform, obtaining the standard material elasticity data of the target snap ring product. The snap ring product material hardness and elasticity analysis module includes a snap ring product material hardness characteristic standard material element metallographic combination feature library search unit, a snap ring product material elasticity characteristic standard material element metallographic combination feature library search unit, a snap ring product material hardness testing unit, and a snap ring product material elasticity testing unit; The system includes: a material hardness characteristic standard material element metallographic combination feature library search unit; a material elasticity characteristic standard material element metallographic combination feature library search unit; a material hardness detection unit; and a material elasticity detection unit. The latter can perform online detection of the material hardness parameters of the target swivel product based on the material element characteristic data, metallographic structure image data, and the material hardness characteristic standard material element metallographic combination feature library. The snap ring product manufacturing quality assessment module includes a snap ring product hardness mechanical property quality inspection unit, a snap ring product elastic mechanical property quality inspection unit, a snap ring product manufacturing quality inspection unit, and a snap ring product manufacturing quality feedback unit. The spring clip product hardness mechanical performance quality inspection unit can perform hardness mechanical performance quality inspection on the target spring clip product based on the standard material hardness data and the material hardness test data, and obtain the hardness mechanical performance quality inspection data of the target spring clip product; the spring clip product elasticity mechanical performance quality inspection unit can perform elasticity mechanical performance quality inspection on the target spring clip product based on the standard material elasticity data and the material elasticity test data, and obtain the elasticity mechanical performance quality inspection data of the target spring clip product; the spring clip product production quality quality inspection unit can perform production quality quality inspection on the target spring clip product based on the hardness mechanical performance quality inspection data and the elasticity mechanical performance quality inspection data, and obtain the production quality quality inspection data of the target spring clip product; the spring clip product production quality feedback unit can perform production quality feedback operations on the target spring clip product based on the production quality quality inspection data and in conjunction with the production monitoring platform and display screen.

[0033] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An AI-based intelligent monitoring method for the production process of snap rings, characterized by: The method includes the following steps: The following methods were used to collect the characteristic information of the snap ring product, the material element characteristic data of the snap ring product, and the metallographic structure image data of the snap ring product material; the standard material hardness parameter range and standard material elasticity parameter range of the target snap ring product were searched and processed to obtain the standard material hardness data and standard material elasticity data of the target snap ring product. The hardness characteristics of the target snap ring product material were searched and the standard material element metallographic combination feature library was used to perform online detection and processing of the material hardness parameters of the target snap ring product to obtain the material hardness test data of the target snap ring product; the elasticity characteristics of the target snap ring product material were searched and the standard material element metallographic combination feature library was used to perform online detection and processing of the material elasticity parameters of the target snap ring product to obtain the material elasticity test data of the target snap ring product. The hardness and mechanical properties of the target snap ring product are inspected to obtain hardness and mechanical property quality inspection data; the elastic mechanical properties of the target snap ring product are inspected to obtain elastic mechanical property quality inspection data; based on the hardness and elastic mechanical properties of the snap ring product, the production quality of the target snap ring product is inspected to obtain production quality quality inspection data, and the production quality feedback operation of the snap ring product is executed.

2. The AI-based intelligent monitoring method for snap ring production process according to claim 1, characterized in that: The steps involved in collecting characteristic information of the snap ring product, elemental characteristic data of the snap ring product material, and metallographic structure image data of the snap ring product material; and searching and processing the standard material hardness parameter range and standard material elasticity parameter range of the target snap ring product to obtain the standard material hardness data and standard material elasticity data of the target snap ring product, respectively. The system acquires the specifications, models, and user information of the target snap ring products currently being manufactured on the production line through an online production monitoring platform, and generates snap ring product characteristic information. It also measures and processes the material element types and contents of the target snap ring products online using a direct-reading spectrometer, and generates material element characteristic data for the snap ring products. Furthermore, it acquires and processes images of the internal metallographic structure of the target snap ring products online using sample preparation equipment and a metallographic microscope, and generates metallographic structure image data of the snap ring products' materials. Based on the characteristic information of the snap ring product, the standard material hardness parameter range and standard material elasticity parameter range of the target snap ring product are searched and processed to obtain the standard material hardness data and standard material elasticity data of the target snap ring product.

3. The AI-based intelligent monitoring method for snap ring production process according to claim 2, characterized in that: The process of searching for the standard material hardness parameter range and standard material elasticity parameter range of the target circlip product based on the product feature information to obtain the standard material hardness data and standard material elasticity data of the target circlip product includes the following steps: Obtain the characteristic information of the snap ring product; The production monitoring platform searches for the standard material hardness parameter range requirement data and standard material elasticity parameter range requirement data of the target circlip product based on the product feature information, and generates the standard material hardness data and standard material elasticity data of the target circlip product.

4. The AI-based intelligent monitoring method for snap ring production process according to claim 3, characterized in that: The process of searching for the standard material element metallographic combination feature library of the hardness characteristics of the target circlip product material and performing online detection processing on the material hardness parameters of the target circlip product to obtain the material hardness test data of the target circlip product; and searching for the standard material element metallographic combination feature library of the elasticity characteristics of the target circlip product material and performing online detection processing on the material elasticity parameters of the target circlip product to obtain the material elasticity test data of the target circlip product includes the following steps: Based on the characteristic information of the snap ring product, a standard material element metallographic combination feature library for the hardness characteristics of the snap ring product material is searched. Based on the material element characteristic data of the snap ring product material, the metallographic structure image data of the snap ring product material, and the standard material element metallographic combination feature library for the hardness characteristics of the snap ring product material, the material hardness parameter of the target snap ring product is detected online to obtain the material hardness detection data of the target snap ring product. Based on the product feature information of the snap ring, a standard material element metallographic combination feature library of the snap ring product material elasticity characteristics is searched. According to the material element feature data of the snap ring product, the metallographic structure image data of the snap ring product material, and the standard material element metallographic combination feature library of the snap ring product material elasticity characteristics, the material elasticity parameter of the target snap ring product is detected online to obtain the material elasticity detection data of the target snap ring product.

5. The AI-based intelligent monitoring method for snap ring production process according to claim 4, characterized in that: The process of searching for a standard material element metallographic combination feature library of the circlip product material hardness characteristics based on the circlip product feature information, and performing online detection processing of the material hardness parameters of the target circlip product based on the circlip product material element feature data, the circlip product material metallographic structure image data, and the standard material element metallographic combination feature library of the circlip product material hardness characteristics to obtain the target circlip product material hardness detection data includes the following steps: The production monitoring platform searches for a database of material element characteristics, metallographic images of the internal structure of the material, and the mapping relationship between the material hardness parameters of the target circlip product and the product's material characteristics based on the circlip product's feature information. It then generates a standard material element metallographic combination feature library for circlip product material hardness characteristics. The include ;in Indicates the target circlip product number Standard material element metallographic combination characteristic data for snap ring products corresponding to the metallographic characteristic combination type of material element; The material element characteristic data of the snap ring product, the metallographic structure image data of the snap ring product material, and the data are compared with the data from the previous process. The above The textual information of the material element characteristics of the snap ring product is matched with the metallographic structure image information of the material, and the matching data of the material element characteristics and metallographic structure image of the snap ring product are searched. The corresponding hardness parameters of the snap ring product material are used to generate the target snap ring product material hardness test data after data identification; The specific steps for generating the target snap ring product material hardness test data are as follows: Step 2121: Initialization, define the relevant structural parameters as vectors, and set the... All of the above in the search space Defined as The solution to the dimensional optimization problem, the material hardness search sandcat representation problem solution is 1× Array, each variable value They are all floating-point numbers, each variable value to It is located in the Between the lower and upper bounds of the search space, the fitness of each material hardness search sand cat is obtained through the fitness function of the problem to be solved; Step 2122: Searching for prey. The final and main parameters controlling the transition between the exploration and development phases are... ,when When the hardness is >1, the material hardness search sandcat is in the above Search the search space to find the elemental characteristic data of the material of the snap ring product and the metallographic structure image data of the material of the snap ring product. ; The material hardness search sandcat search process relies on the release of low-frequency noise, assuming the sensitivity range of the material hardness search sandcat... From 0 to 2kHz, This indicates a search for the auditory factors of a sand cat based on material hardness, assuming... The value is 2. This represents the current iteration number. The maximum number of iterations is given by `rand(0,1)`, which represents a random number between 0 and 1. The relation is: , ,in Represents the sensitivity vector; each material hardness search sand cat is based on the best candidate position. and current location and its sensitivity range Update your own location, that is, in the above Search the search space for the elemental characteristic data of the material of the circlip product and the metallographic structure image data of the material of the circlip product. Location; Location calculation formula: ,in This indicates that the sand cat individual in the material hardness search during iteration t+1 is described in [the context of the previous sentence]. The current position in the search space. Indicates the t-th iteration of the material hardness search sandcat in the... The best candidate position in the search space; Step 2123, Attack the prey, when When ≤1, the material hardness search sand cat is in the above Search within the search space, utilizing the best candidate position. With current location Generate a random location, that is, in the Randomly search the search space to find the elemental characteristics of the material of the snap ring product and the metallographic structure image data of the material of the snap ring product. The random location, assuming material hardness, is used to search for the sensitivity range of the sand cat. It's a circle, and using a roulette wheel method, each material hardness is randomly selected by a sand cat from a chosen corner. , to carry out the above The search for random positions is calculated using the following formula: ,in Represents the sensitivity vector. Indicates angle cosine value, The material hardness search for the sand cat is in the above The random position in the search space; the random position allows the material hardness search sand cat to approach and attack its prey, that is, in the Search the search space to find the elemental characteristic data of the material of the snap ring product and the metallographic structure image data of the material of the snap ring product. ; Step 2124: When the search algorithm reaches the maximum number of iterations, output the data that matches the elemental feature data of the snap ring product material and the metallographic structure image data of the snap ring product material. The corresponding snap ring product material hardness parameters are used to generate target snap ring product material hardness test data after data identification; otherwise, the iteration continues until the maximum number of iterations is met. The target snap ring product material hardness test data represents the material hardness data of the snap ring products currently being manufactured on the snap ring production line, and the unit of the target snap ring product material hardness test data is Rockwell hardness.

6. The AI-based intelligent monitoring method for snap ring production process according to claim 5, characterized in that: The process of searching for a standard material element metallographic combination feature library of the snap ring product's material elasticity characteristics based on the snap ring product's feature information, and performing online detection processing of the target snap ring product's material elasticity parameters based on the snap ring product's material element feature data, the snap ring product's material metallographic structure image data, and the standard material element metallographic combination feature library of the snap ring product's material elasticity characteristics to obtain the target snap ring product's material elasticity detection data includes the following steps: The production monitoring platform searches for a database of material element characteristics, metallographic images of the internal structure of the material, and mapping relationships between the material elastic parameters of the target circlip product based on the product's feature information. This database then generates a standard material element metallographic combination feature library for the circlip product's material elastic characteristics. The include ;in Indicates the target circlip product number Standard material element metallographic combination characteristic data for snap ring products corresponding to the metallographic characteristic combination type of material element; The material element characteristic data of the snap ring product, the metallographic structure image data of the snap ring product material, and the data are compared with the data from the previous process. The above The textual information of the material element characteristics of the snap ring product is matched with the metallographic structure image information of the material, and the matching data of the material element characteristics and metallographic structure image of the snap ring product are searched. The corresponding elastic parameters of the snap ring product material are used to generate the target snap ring product material elasticity test data through data identification.

7. The AI-based intelligent monitoring method for snap ring production process according to claim 6, characterized in that: The process of performing quality inspection on the hardness and mechanical properties of the target snap ring product to obtain hardness and mechanical property quality inspection data; performing quality inspection on the elastic mechanical properties of the target snap ring product to obtain elastic mechanical property quality inspection data; and performing quality inspection on the production quality of the target snap ring product based on its hardness and elastic mechanical properties to obtain production quality quality inspection data and perform production quality feedback operations includes the following steps: Based on the standard material hardness data and the material hardness test data of the target circlip product, the hardness mechanical properties of the target circlip product are inspected to obtain the hardness mechanical properties quality inspection data of the target circlip product; based on the standard material elasticity data and the material elasticity test data of the target circlip product, the elasticity mechanical properties of the target circlip product are inspected to obtain the elasticity mechanical properties quality inspection data of the target circlip product. Based on the hardness mechanical property quality inspection data and the elastic mechanical property quality inspection data of the target snap ring product, the production quality inspection of the target snap ring product is carried out to obtain the production quality inspection data of the target snap ring product and to perform the production quality feedback operation of the snap ring product.

8. The AI-based intelligent monitoring method for snap ring production process according to claim 7, characterized in that: The process of performing hardness mechanical property quality inspection on the target circlip product based on the standard material hardness data and the target circlip product material hardness test data to obtain hardness mechanical property quality inspection data of the target circlip product; and the process of performing elastic mechanical property quality inspection on the target circlip product based on the standard material elasticity data and the target circlip product material elasticity test data to obtain elastic mechanical property quality inspection data of the target circlip product, includes the following steps: The hardness test data of the target snap ring product material is compared with the hardness data of the standard material of the target snap ring product. Based on the comparison results of the hardness values ​​of the snap ring product material, the mechanical property quality inspection data of the target snap ring product hardness is generated. When the hardness test data of the target snap ring product material is successfully compared with the hardness data of the standard material of the target snap ring product, the mechanical property quality inspection data of the hardness of the target snap ring product is output as qualified. When the hardness test data of the target snap ring product material is not successfully compared with the hardness data of the standard material of the target snap ring product, the mechanical property quality inspection data of the hardness of the target snap ring product is output as unqualified. The standard material elasticity data of the target snap ring product is compared with the material elasticity test data of the target snap ring product to obtain the material elasticity value of the snap ring product. Based on the material elasticity value comparison result, the elastic mechanical performance quality inspection data of the target snap ring product is generated. When the standard material elasticity data of the target snap ring product and the material elasticity test data of the target snap ring product are both successfully compared, the quality inspection data of the elastic mechanical properties of the target snap ring product is output as qualified. If the comparison between the standard material elasticity data and the material elasticity test data of the target snap ring product fails, the quality inspection data of the elastic mechanical properties of the target snap ring product will be output as unqualified.

9. The AI-based intelligent monitoring method for snap ring production process according to claim 8, characterized in that: The process of performing production quality inspection on the target snap ring product based on the hardness mechanical property quality inspection data and the elastic mechanical property quality inspection data to obtain the target snap ring product production quality inspection data and execute the snap ring product production quality feedback operation includes the following steps: Based on the hardness mechanical property quality inspection data and the elastic mechanical property quality inspection data of the target snap ring product, the production quality inspection data of the target snap ring product is obtained by performing production quality inspection processing on the target snap ring product. When both the hardness mechanical property quality inspection data and the elastic mechanical property quality inspection data of the target snap ring product are qualified, the production quality inspection data of the target snap ring product is output as qualified. When there are unqualified hardness mechanical property quality inspection data and elastic mechanical property quality inspection data of the target snap ring product, the production quality inspection data of the target snap ring product is output as unqualified. The production quality inspection data of the target snap ring product is pushed to the production monitoring platform through the Internet of Things communication network, and output to the display screen to perform the snap ring product production quality feedback operation.

10. An AI-based intelligent monitoring system for snap ring production process, used to implement the AI-based intelligent monitoring method for snap ring production process as described in any one of claims 1-9, characterized in that: The system includes a standard positioning module for snap ring production, a module for analyzing the hardness and elasticity of snap ring product materials, and a module for evaluating the production quality of snap ring products.

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