An electric heater key component AI intelligent detection and quality control system and method

Abstract

The application relates to the technical field of manufacturing management, and discloses an electric heater key component AI intelligent detection and quality control system and method, which realizes real-time and efficient collection of high-precision images of electric heater quality detection key components by recognizing the electric heater quality detection key component assembly station, combining a product manufacturing management platform, and dynamically and autonomously acquiring electric heater assembly key component feature images by a cloud lens, performing quality detection on electric heater product assembly key components according to the electric heater assembly key component feature image data, combining an AI algorithm and different electric heater assembly key component qualified feature image data set based on big data, and performing intelligent quality defect detection on electric heater quality detection key components by the AI algorithm; through overall quality analysis of the electric heater quality detection key components, scientific and quantitative evaluation of the overall manufacturing quality of the electric heater is realized, and quality closed-loop control from a single component to an overall product is realized.

Description

Technical Field

[0001] This invention relates to the technical field of manufacturing management, specifically to an AI-powered intelligent detection and quality control system and method for key components of electric heaters. Background Technology

[0002] The quality management system for electric heaters is based on mandatory standards for electrical safety, thermal safety, and mechanical safety. The complexity of its technological background stems primarily from diverse heating technologies, including convection, radiation, and heat storage, and the resulting differentiated risks. This necessitates that quality management permeate the entire process, from the selection of core component materials to the assembly of the complete unit. The core objective of quality management is to systematically prevent risks such as electric shock, fire, overheating, and mechanical injury. This relies on reliability verification of key components, including heating elements, insulation materials, thermostats, and structural parts; consistency control of assembly processes; and thorough testing for abnormal operating conditions, including stalling and tilting. This forms a complete chain of technical control systems, from design verification and incoming material inspection to process monitoring and factory safety testing. Existing quality control systems for electric heaters cannot customize inspection targets based on product characteristics, nor can they utilize AI for intelligent online detection of electric heater production quality, thus reducing the reliability and flexibility of quality inspection.

[0003] Chinese invention patent application CN120579908A, published on September 2, 2025, discloses a voice recognition-based management system and method for recording defective home appliances. This system improves the efficiency of recording defective home appliances by incorporating voice recognition. After determining an appliance to be defective, it performs closed-loop verification of the defective features using a multimodal evidence chain. It quantifies the completeness of the defective appliance's voice recording by comprehensively and intuitively matching the defective appliance's voice recording. When the verification shows incomplete defective appliance voice recording, it uses dynamic parameter coupling technology and a dynamic review mechanism to eliminate ambiguity and guide quality inspectors to accurately complete the defect features. However, this technical solution cannot achieve intelligent detection of non-conforming parts in home appliances. Summary of the Invention

[0004] (a) Technical problems to be solved To address the issues of existing electric heater quality control methods that fail to allow for customized quality inspection settings based on product characteristics and the lack of AI-powered online quality monitoring, thus reducing the reliability and flexibility of quality inspection, this new approach aims to achieve the following: customized identification of key components for electric heater quality inspection; scientific positioning of assembly stations for key components; real-time scientific acquisition of characteristic images of key components during assembly; intelligent identification of quality defects in key components during assembly; accurate and efficient assessment of manufacturing quality; and visualized monitoring of the quality of key components.

[0005] (II) Technical Solution This invention is achieved through the following technical solution: an AI-powered intelligent detection and quality control method for key components of an electric heater, the method comprising the following steps: Collect textual information on the characteristics of electric heater products, identify key components for quality inspection of electric heater products, and obtain identification information for key components for quality inspection of electric heaters; identify the assembly stations where key components for quality inspection of electric heater products are located, and obtain identification information for assembly stations of key components for electric heaters. Collect feature image data of key components in electric heater assembly; inspect and process the quality of key components in electric heater assembly to obtain quality inspection information of key components in electric heater assembly; evaluate the manufacturing quality of electric heater products to obtain manufacturing quality evaluation information of electric heater products; Generate a summary of electric heater quality inspection data and execute an early warning system for electric heater quality inspection results.

[0006] Preferably, the process of collecting textual information on the characteristics of electric heater products, identifying key components for quality inspection of electric heater products, and obtaining identification information for key components for quality inspection of electric heaters includes the following steps: The product manufacturing management platform collects the characteristic text information of the target quality inspection electric heater product online and generates electric heater product characteristic text information, which includes the name information, specifications and model information and serial number information of the electric heater product. Based on the product feature text information of the electric heater and the information set of key components for quality inspection of different electric heaters, the key component object identification processing of electric heater product quality inspection is performed to obtain the key component identification information set of electric heater quality inspection. Based on the set of key component identification information for electric heaters and the set of assembly station information for different key components of electric heaters, the assembly station where the key components of electric heaters are located is identified, and the set of key component assembly station identification information for electric heaters is obtained.

[0007] Preferably, the key component object identification processing for electric heater product quality inspection based on the product feature text information of the electric heater and the information set of key components for quality inspection of different electric heaters, to obtain the key component identification information set for electric heater quality inspection, includes the following steps: Establish a collection of key component information for quality inspection of different electric heaters ,in Indicates the first Information on key components for quality inspection of different types of electric heaters, including heat storage electric heaters, graphene electric heaters, and far-infrared radiant panel electric heaters; the information on key components for quality inspection of different types of electric heaters refers to the name, specifications, and characteristic text information of the standard key components for quality inspection of electric heaters set for different types of electric heater products. The product feature text information of the electric heater is combined with the information on key components for quality inspection of different electric heaters. Information on key components for quality inspection of different electric heaters as described in the article Perform keyword matching for electric heater product features to search for key quality inspection component information for different electric heaters corresponding to the product feature text information. And match the key component information for quality inspection of different electric heaters with the product feature text information of the electric heater. Data identification information of key components of electric heaters is generated by identifying the characteristics of all corresponding key components. ,in This indicates the target quality inspection of electric heater products. This document identifies key components for quality inspection of electric heaters, specifically those for heat storage electric heaters, graphene electric heaters, and far-infrared radiant panel electric heaters. The key components for heat storage electric heaters include a resistance alloy heating wire, a heat storage magnesium brick, a heat insulation shell, and a fan duct. Key components for graphene electric heaters include a graphene heating film, a busbar, an encapsulation substrate, a heat sink, and a reflective layer. Key components for far-infrared radiant panel electric heaters include a carbon fiber heating tube, a reflector, and a heat dissipation panel. The identification information for these key components includes their name, specifications, and model characteristics.

[0008] Preferably, the process of identifying the assembly station where the key components for quality inspection of the electric heater are located, based on the set of key component identification information for electric heaters and the set of assembly station information for different key components of electric heaters, includes the following steps: Establish a collection of assembly station information for key components of different electric heaters ,in Indicates the first This document provides information on the assembly stations for different key components of electric heaters, including: resistance alloy heating wire, magnesium brick, insulation shell, fan duct, graphene heating film, busbar, encapsulation substrate, heat sink, reflector layer, carbon fiber heating tube, reflector cover, and heat dissipation panel of far-infrared radiant panel heaters. The assembly station information for these key components represents the name and number of the specific production line process station for assembling these key components during the standard electric heater manufacturing process. The key component identification information set for the electric heater quality inspection The identification information of key components for quality inspection of electric heaters described in the article Information set of assembly stations for key components of different electric heaters The assembly station information for different key components of electric heaters described in the document By performing feature keyword matching on key components of the electric heater, the identification information of the key components for quality inspection of the electric heater can be retrieved. The corresponding assembly station information for different key components of electric heaters And through data identification, a set of identification information for the assembly station of key components of the electric heater is generated. ,in This indicates the target quality inspection of electric heater products. The key component assembly station identification information for electric heater products is provided. The key component assembly station identification information represents the name and number of the specific production line process station for the assembly of key components in the manufacturing process of the target quality-inspected electric heater product.

[0009] Preferably, the process of collecting feature image data of key components in the electric heater assembly; inspecting and processing the quality of key components in the electric heater assembly to obtain quality inspection information for key components; and evaluating the manufacturing quality of the electric heater to obtain manufacturing quality evaluation information includes the following steps: The product manufacturing management platform uses the assembly station identification information set of the key components of the electric heater as a basis. The identification information of the assembly station of key components of the electric heater mentioned in the document The system controls cloud cameras installed at the assembly station of key components in electric heaters to collect online images of the overall appearance of key components at the assembly station during the manufacturing process of target quality inspection electric heaters, and generates a set of feature image data of key components assembled in electric heaters. ,in This indicates the target quality inspection of electric heater products. Feature image data of key components in the assembly of electric heaters, corresponding to key components for quality inspection of various electric heater products; Based on the feature image data set of key components in electric heater assembly and the qualified feature image data set of different key components in electric heater assembly, quality inspection processing of key components in electric heater product assembly is performed to obtain a quality inspection information set of key components in electric heater assembly. Based on the quality inspection information set of key components of the electric heater assembly, the manufacturing quality assessment of the electric heater product is performed to obtain the manufacturing quality assessment information of the electric heater product.

[0010] Preferably, the quality inspection processing of key components in electric heater assembly, based on the set of feature images of key components in electric heater assembly and different sets of qualified feature images of key components in electric heater assembly, to obtain a set of quality inspection information for key components in electric heater assembly includes the following steps: Establish a set of qualified feature images of key components in the assembly of different electric heaters. ,in Indicates the first The image data of qualified features of different key components in the assembly of electric heaters corresponding to key components for quality inspection of electric heaters, wherein the image data of qualified features of different key components in the assembly of electric heaters represent the overall appearance image information of the key components in the manufacturing process of electric heaters under qualified conditions, which is set for key components in the quality inspection of electric heaters. The set of feature image data of key components of the electric heater assembly Feature image data of key components in the electric heater assembly described in the text The data sets of qualified characteristic images of key components assembled in different electric heaters are ordered according to the product quality inspection key component numbers. Image data of qualified features of key components in the assembly of different electric heaters described in the article Image feature matching is performed, and a set of quality inspection information for key components of the electric heater assembly is generated based on the image feature matching results. The process generates a set of quality inspection information for key components of the electric heater assembly. The specific operating steps are as follows: Step 2221: Initialization, set the maximum number of iterations T; Step 2222: After initialization, perform image analysis on the moth selecting the flame, and collect qualified feature image data of key components assembled in different electric heaters. Initial generation in the solution space Image analysis of moths and A flame, and = The set of qualified feature images of key components in the assembly of different electric heaters The search space was used to retrieve feature image data of key components assembled with the electric heater. Matching image data of qualified features of key components in the assembly of different electric heaters Image analysis shows that moths will fly around the selected flame. Image analysis of moths and The flames are sorted by quality, and the sorted flames are then... The flame moves to a better position. At each location, the moth in each image selects a different flame. As the number of iterations increases, the number of flames decreases. The formula for calculating the number of flames is as follows: ,in Indicates the first The next iteration uses the qualified feature image data set of key components in different electric heaters. The number of flames in the search space. This represents a random function that takes values ​​between 0 and 1. This represents a set of qualified feature images of key components assembled in different electric heaters. The total number of flames initially generated in the search space, where T represents the maximum number of iterations; Step 2223: Image analysis of the moth after it selects a flame. The image analysis shows the moth flying around the flame. The image analysis also includes a set of qualified feature images of the moth on the assembly of key components of different electric heaters. Location in the search space Image analysis of the qualified feature image data set of key components assembled in different electric heaters, showing moths hovering around flames. Location in the search space And image analysis of the collection of qualified feature images of key components assembled in different electric heaters after a moth flies around a flame. New location in the search space The formula for calculating the new position is as follows: ,in Image analysis of moths With flames The set of qualified feature images of key components in the assembly of different electric heaters The distance value in the search space. Represents an exponential function. Let be the current iteration number, where The coefficient is set to 2. Represents angle value The corresponding cosine value, Represents pi; Step 2224: Image analysis of the collection of qualified feature images of moths assembled with key components in different electric heaters. Fly and move the flames to the appropriate location within the search space. Image analysis of a collection of images showing the qualified features of moths assembled in different electric heaters. In the search space After a fireball flies, update to A new location, calculate this Image data of qualified features of key components in the assembly of different electric heaters at new locations. Feature image data of key components assembled with the electric heater The fitness value, will this A new location and A flame based on + The positions are sorted by priority, and the positions with the best priority are... The location is used as the position of the flame in the next round, based on the qualified feature image data set of key components assembled in different electric heaters. The search space was used to retrieve feature image data of key components assembled with the electric heater. The most matching qualified feature image data of key components of the different electric heater assemblies ; Step 2225: When the maximum number of iterations T is met, output the feature image data of the key components assembled with the electric heater. The most matching qualified feature image data of key components of the different electric heater assemblies ; Step 2226: Based on the feature image data of the key components of the electric heater assembly output in step 2225. Image data of qualified features of key components assembled with the different electric heaters The image feature matching results are used to generate a set of quality inspection information for key components of electric heater assembly. ,in This indicates the target quality inspection of electric heater products. Quality inspection information of key components in the assembly of electric heaters, corresponding to key components in the quality inspection of various electric heater products; when and Image feature matching was successful, indicating that the target quality inspection of the electric heater product assembly was completed on the first day. If the quality of key components in a certain type of electric heater product passes quality inspection, then the quality inspection information of the key components assembled in that electric heater will be output. It is qualified; when and None of the image features were matched successfully, indicating that the target quality inspection of the electric heater product assembly was unsuccessful. If the quality of a key component in a certain type of electric heater fails the quality inspection, the quality inspection information of that key component in the electric heater assembly will be output. It is unqualified.

[0011] Preferably, the manufacturing quality assessment of the electric heater product is performed based on the quality inspection information set of the key components of the electric heater assembly, and the manufacturing quality assessment information of the electric heater product includes the following steps: Based on the quality inspection information set of key components in the electric heater assembly Quality inspection information of key components in the electric heater assembly described in the article The manufacturing quality assessment of electric heater products is carried out to obtain manufacturing quality assessment information for electric heater products; When the quality inspection information of the key components of the electric heater assembly is collected Quality inspection information of key components in the electric heater assembly described in the article If all values ​​are qualified, it means that the assembly quality of the key components of the target quality inspected electric heater product meets the standards, and the manufacturing quality assessment information of the electric heater product is output as qualified. When the key component quality inspection information of the electric heater assembly is collected Quality inspection information of key components in the electric heater assembly described in the article If any non-compliance is found, it indicates that there are defects in the assembly of key components of the target quality inspected electric heater product. In this case, the manufacturing quality assessment information of the electric heater product will be output as unqualified.

[0012] Preferably, the process of constructing the summary data of electric heater quality inspection and executing the early warning operation for electric heater quality inspection results includes the following steps: The product feature text information of the electric heater, the key component identification information set of the electric heater, the key component assembly station identification information set of the electric heater, the key component quality inspection information set of the electric heater, and the product manufacturing quality assessment information of the electric heater are combined through data identification to construct the electric heater quality inspection summary data. The summarized quality inspection data of the electric heater is pushed to the product manufacturing management platform through the Internet of Things communication network, and the display screen outputs voice prompts for the quality inspection results of key components of the electric heater to perform the early warning operation of the quality inspection results of the electric heater. The voice prompts for the quality inspection results of key components of the electric heater include "The quality inspection results of key components of the electric heater have been output and please receive them."

[0013] An AI-powered intelligent detection and quality control system for key components of an electric heater is provided to implement the AI-powered intelligent detection and quality control method for key components of an electric heater. The system includes an electric heater quality inspection positioning module, an electric heater quality analysis module, and an electric heater quality inspection processing module. The electric heater quality inspection and positioning module includes an electric heater feature information acquisition unit, an information storage unit for key components of different electric heaters, an identification unit for key components of electric heaters, an information storage unit for assembly stations of key components of different electric heaters, and an identification unit for assembly stations of key components of electric heaters. The electric heater feature information acquisition unit collects electric heater product feature text information through the product manufacturing management platform; the different electric heater quality inspection key component information storage unit is used to store information on different electric heater quality inspection key components; the electric heater quality inspection key component identification unit performs key component object identification processing based on the electric heater product feature text information and the different electric heater quality inspection key component information to obtain electric heater quality inspection key component identification information; the different electric heater key component assembly station information storage unit is used to store different electric heater key component assembly station information; the electric heater key component assembly station identification unit performs assembly station identification processing based on the electric heater quality inspection key component identification information and the different electric heater key component assembly station information to obtain electric heater key component assembly station identification information. The electric heater quality analysis module includes a key component feature image acquisition unit for electric heater assembly, a qualified feature image storage unit for key components of different electric heater assembly, a key component quality analysis unit for electric heater assembly, and an electric heater manufacturing quality assessment unit. The key component feature image acquisition unit for electric heater assembly acquires feature image data of key components for electric heater assembly through a product manufacturing management platform and a cloud camera; the qualified feature image storage unit for different key components for electric heater assembly stores qualified feature image data of different key components for electric heater assembly; the key component quality analysis unit for electric heater assembly performs quality inspection processing on key components for electric heater product assembly based on the feature image data of key components for electric heater assembly and in combination with AI algorithms and qualified feature image data of different key components for electric heater assembly, and obtains quality inspection information of key components for electric heater assembly; the manufacturing quality assessment unit for electric heater performs manufacturing quality assessment processing on the manufacturing quality of electric heater product based on the quality inspection information of key components for electric heater assembly, and obtains manufacturing quality assessment information of electric heater product. The electric heater quality inspection and processing module includes an electric heater quality inspection result collection unit and an electric heater quality inspection result early warning unit. The electric heater quality inspection result collection unit constructs a summary of electric heater quality inspection data based on the electric heater product feature text information, the electric heater key component identification information, the electric heater key component assembly station identification information, the electric heater assembly key component quality inspection information, and the electric heater product manufacturing quality assessment information, combined with data processing. The electric heater quality inspection result early warning unit performs electric heater quality inspection result early warning operations based on the electric heater quality inspection summary data and in conjunction with the product manufacturing management platform and display screen.

[0014] (III) Beneficial Effects This invention provides an AI-powered intelligent detection and quality control system and method for key components of electric heaters. It offers the following advantages: First, the system accurately collects textual information on the characteristics of electric heaters through a product manufacturing management platform. Based on this textual information, combined with data analysis and information on key components for quality inspection of different electric heaters set according to custom rules, the system dynamically identifies key components for quality inspection of electric heaters. This achieves accurate identification of key components for quality inspection based on custom rules, solving the problem of fixed objects and inflexible adaptation to product models in traditional electric heater quality inspection. Second, based on the identification information of key components for quality inspection, combined with data analysis and assembly station information of different key components for electric heaters stored in big data, the system accurately locates and identifies the assembly station where the key components for quality inspection of electric heaters are located. By associating key components for quality inspection of electric heaters with assembly stations, the system can automatically locate the production process of key components for quality inspection of electric heaters, realizing intelligent positioning of key component information collection and improving the efficiency of quality management of key components for electric heaters.

[0015] Second, by identifying the assembly station of key components for electric heater quality inspection and combining it with the product manufacturing management platform and cloud camera to dynamically and autonomously acquire feature images of key components for electric heater assembly, high-precision images of key components for electric heater quality inspection are collected in real time and efficiently. Based on the feature image data of key components for electric heater assembly and combined with AI algorithms and qualified feature image data of different key components for electric heater assembly based on big data settings, quality inspection of key components for electric heater product assembly is carried out. AI algorithms are used to intelligently detect quality defects in key components for electric heater quality inspection, improving the accuracy of quality inspection of key components for electric heater assembly. Through overall quality analysis of key components for electric heater quality inspection, a scientific quantitative assessment of the overall manufacturing quality of electric heaters is achieved, realizing closed-loop quality control from individual components to the whole product, and enhancing the objectivity and reliability of electric heater quality inspection.

[0016] Third, by integrating electric heater product information, key component identification information, key component workstation data, real-time quality inspection results, and quality assessment information of key components, the system constructs a summary data of electric heater quality inspection. Simultaneously, based on this summary data and combined with the product manufacturing management platform and display screen, it efficiently and dynamically executes early warning operations for electric heater quality inspection results, achieving visualized supervision of electric heater production quality. This enables intelligent control of the entire process from "identification-detection-assessment-early warning," improving the initiative of electric heater quality inspection and overall production efficiency. Attached Figure Description

[0017] Figure 1 A schematic diagram of a module for an AI intelligent detection and quality control system for key components of an electric heater provided by the present invention; Figure 2 The flowchart illustrates an AI-powered intelligent detection and quality control method for key components of an electric heater, as provided by this invention. Detailed Implementation

[0018] 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.

[0019] An embodiment of the AI ​​intelligent detection and quality control system and method for key components of electric heaters is as follows: Example 1: Please see Figures 1-2 A method for AI-powered intelligent detection and quality control of key components in electric heaters, comprising the following steps: Step 1: Collect textual information on the characteristics of electric heater products, identify key components for quality inspection of electric heater products, and obtain identification information for key components for quality inspection of electric heaters; identify the assembly stations where the key components for quality inspection of electric heater products are located, and obtain identification information for the assembly stations of key components for electric heaters. Step 2: Collect feature image data of key components in the electric heater assembly; inspect and process the quality of key components in the electric heater assembly to obtain quality inspection information of key components; evaluate the manufacturing quality of the electric heater to obtain manufacturing quality evaluation information. Step 3: Build a summary of electric heater quality inspection data and execute an early warning operation for electric heater quality inspection results.

[0020] For further details, please refer to Figures 1-2The process involves collecting textual information on the characteristics of electric heater products, identifying key components for quality inspection, obtaining key component identification information, and identifying the assembly stations where these key components are located. This process includes the following steps: Step 11: Collect the characteristic text information of the target quality inspection electric heater product object online through the product manufacturing management platform, and generate the electric heater product characteristic text information, which includes the name information, specification model information and serial number information of the electric heater product; Step 12: Based on the product feature text information of electric heaters and the information set of key components for quality inspection of different electric heaters, perform key component object identification processing for quality inspection of electric heaters to obtain the key component identification information set for quality inspection of electric heaters. Step 13: Based on the key component identification information set of electric heater quality inspection and the assembly station information set of different key component assembly stations of electric heaters, perform the identification processing of the assembly station where the key component of electric heater product quality inspection is located, and obtain the key component assembly station identification information set of electric heater.

[0021] Based on the textual information of electric heater product characteristics and the information set of key components for quality inspection of different electric heaters, the key component object identification processing for electric heater product quality inspection is performed, and the key component identification information set for electric heater quality inspection is obtained by the following steps: Step 121: Establish a set of information on key components for quality inspection of different electric heaters. ,in Indicates the first Information on key components for quality inspection of different types of electric heaters, including heat storage electric heaters, graphene electric heaters, and far-infrared radiant panel electric heaters; the information on key components for quality inspection of different types of electric heaters refers to the name, specifications, and characteristic text information of the key components for quality inspection of standard electric heater products set for different types of electric heater products. Step 122: Combine the product feature text information of electric heaters with the key component information for quality inspection of different electric heaters. Information on key components for quality inspection of different electric heaters in China By performing keyword matching for electric heater product features, information on key components for quality inspection of different electric heaters can be retrieved corresponding to the textual information on electric heater product features. And will match the key component information for quality inspection of different electric heaters with the product feature text information of the electric heater. Data identification information of key components of electric heaters is generated by identifying the characteristics of all corresponding key components. ,in This indicates the target quality inspection of electric heater products. This document identifies the key components for quality inspection of various electric heater products. These key components can be categorized as follows: key components for thermal storage electric heaters, graphene electric heaters, and far-infrared radiant panel electric heaters. Specifically, key components for thermal storage electric heaters include resistance alloy heating wires, thermal storage magnesium bricks, heat insulation shells, and fan ducts; key components for graphene electric heaters include graphene heating film, busbars, encapsulation substrate, heat sink, and reflective layer; and key components for far-infrared radiant panel electric heaters include carbon fiber heating tubes, reflectors, and heat dissipation panels. The identification information for these key components includes their name, specifications, and model characteristics.

[0022] Based on the key component identification information set for electric heaters and the assembly station information set for different key components of electric heaters, the assembly station identification process for key components of electric heaters is performed to obtain the key component assembly station identification information set for electric heaters, including the following steps: Step 131: Establish a set of assembly station information for key components of different electric heaters. ,in Indicates the first This document provides information on the assembly stations for different key components of electric heaters, including: resistance alloy heating wire, magnesium brick, insulation shell, fan duct, graphene heating film, busbar, encapsulation substrate, heat sink, reflector layer, carbon fiber heating tube, reflector cover, and heat dissipation panel of far-infrared radiant panel heaters. The assembly station information for each key component indicates the name and number of the specific production line process station for assembling these components during the standard electric heater manufacturing process. Step 132: Collect identification information of key components for quality inspection of electric heaters. Key component identification information for quality inspection of electric heaters Information collection on assembly stations for key components of different electric heaters Assembly station information for key components of different electric heaters By performing feature keyword matching on key components of electric heaters, identification information for key components in electric heater quality inspection can be retrieved. Information on the assembly stations for key components of different electric heaters And through data identification, a set of identification information for the assembly station of key components of the electric heater is generated. ,in This indicates the target quality inspection of electric heater products. The key component assembly station identification information for the key components of the electric heater product quality inspection is provided. The key component assembly station identification information indicates the name and number of the specific production line process station for the assembly of key components in the manufacturing process of the target quality inspection electric heater product.

[0023] By accurately collecting textual information on the characteristics of electric heaters through a product manufacturing management platform, and combining this information with data analysis and information on key components for quality inspection of different electric heaters based on custom rules, the system dynamically identifies key components for quality inspection of electric heaters. This achieves accurate identification of key components for quality inspection based on custom rules, solving the problem of fixed objects and inflexible adaptation to product models in traditional electric heater quality inspection. Furthermore, by combining the identification information of key components with data analysis and big data storage of assembly station information for different key components, the system accurately locates and identifies the assembly station where key components for quality inspection are located. By associating key components for quality inspection with assembly stations, the system can automatically locate the production process of key components for quality inspection, achieving intelligent location of key component information collection and improving the efficiency of quality management for key components of electric heaters.

[0024] For further details, please refer to Figures 1-2 The process includes: collecting feature image data of key components in the electric heater assembly; inspecting and processing the quality of these key components to obtain quality inspection information; and evaluating the manufacturing quality of the electric heater to obtain manufacturing quality assessment information. This process includes the following steps: Step 21: Based on the identification information set of key component assembly stations of electric heaters, use the product manufacturing management platform. Identification information of key component assembly stations for electric heaters The system controls cloud cameras installed at the assembly station of key components in electric heaters to collect online images of the overall appearance of key components at the assembly station during the manufacturing process of target quality inspection electric heaters, and generates a set of feature image data of key components assembled in electric heaters. ,in This indicates the target quality inspection of electric heater products. Feature image data of key components in the assembly of electric heaters, corresponding to key components for quality inspection of various electric heater products; Step 22: Based on the feature image data set of key components in electric heater assembly and the qualified feature image data set of key components in different electric heater assembly, perform quality inspection processing on the key components in electric heater assembly to obtain a quality inspection information set of key components in electric heater assembly. Step 23: Based on the quality inspection information set of key components of the electric heater assembly, conduct manufacturing quality assessment of the electric heater product to obtain manufacturing quality assessment information of the electric heater product.

[0025] Based on the feature image data set of key components in electric heater assembly and the qualified feature image data set of different key components in electric heater assembly, quality inspection processing of key components in electric heater product assembly is performed to obtain a quality inspection information set of key components in electric heater assembly, including the following steps: Step 221: Establish a set of qualified feature image data of key components for different electric heater assemblies. ,in Indicates the first The image data of qualified features of different key components in the assembly of electric heaters corresponding to the key components of quality inspection of electric heaters. The image data of qualified features of different key components in the assembly of electric heaters represent the overall appearance image information of the key components in the manufacturing process of electric heaters under qualified conditions, which is set for the key components of quality inspection of electric heaters. Step 222: Collect feature image data of key components of the electric heater assembly. Feature image data of key components in the assembly of electric heaters The data sets of image features of key components for quality inspection of electric heaters are arranged in order of their product numbers and the characteristics of qualified key components in different electric heater assemblies. Image data of qualified features of key components in different electric heaters Image feature matching is performed, and a set of quality inspection information for key components of the electric heater assembly is generated based on the image feature matching results. Execute the generation of a set of quality inspection information for key components in the electric heater assembly. The specific operating steps are as follows: Step 2221: Initialization, set the maximum number of iterations T; Step 2222: After initialization, perform image analysis on the moth selecting the flame and assembling a set of qualified feature image data of key components in different electric heaters. Initial generation in the solution space Image analysis of moths and A flame, and = Data set of qualified feature images of key components in different electric heater assemblies Search the search space to find feature image data of key components for electric heater assembly. Matching image data of key components for different electric heater assemblies. Image analysis shows that moths will fly around the selected flame. Image analysis of moths and The flames are sorted by quality, and the sorted flames are... The flame moved to a better position. At each location, the moth in each image selects a different flame. As the number of iterations increases, the number of flames decreases. The formula for calculating the number of flames is as follows: ,in Indicates the first The next iteration uses a set of qualified feature images of key components assembled in different electric heaters. The number of flames in the search space. This represents a random function that takes values ​​between 0 and 1. This represents a set of qualified feature images of key components in different electric heater assemblies. The total number of flames initially generated in the search space, where T represents the maximum number of iterations; Step 2223: Image analysis of the moth after it selects a flame. The image analysis shows the moth flying around the flame, and the image analysis also includes a set of qualified feature images of the moth assembling key components of different electric heaters. Location in the search space Image analysis of the qualified feature image data set of key components assembled in different electric heaters, showing moths hovering around flames. Location in the search space And image analysis of the qualified feature image data set of key components assembled in different electric heaters after moths fly around the flame. New location in the search space The formula for calculating the new position is as follows: ,in Image analysis of moths With flames Set of qualified feature images of key components in different electric heaters The distance value in the search space, Represents an exponential function. Let be the current iteration number, where The coefficient is set to 2. Represents angle value The corresponding cosine value, Represents pi; Step 2224: Image analysis of the collection of qualified feature images of moths assembled with key components in different electric heaters. Fly and move the flames to the appropriate location within the search space. Image analysis of a collection of qualified feature images of moths assembled in different electric heaters. In the search space After a fireball flies, update to A new location, calculate this Image data of qualified features of key components in the assembly of electric heaters at different new locations. Feature image data of key components in electric heater assembly The fitness value, will this A new location and A flame based on + The positions are sorted by priority, and the positions with the best priority are... The location is used as the position of the flame in the next round, based on the qualified feature image data set of key components assembled in different electric heaters. Search the search space to find feature image data of key components for electric heater assembly. Image data of qualified features of key components for assembling different electric heaters. ; Step 2225: When the maximum number of iterations T is met, output the feature image data of the key components of the electric heater assembly. Image data of qualified features of key components for assembling different electric heaters. ; Step 2226: Based on the feature image data of key components of the electric heater assembly output in step 2225. Image data of qualified features of key components for assembling different electric heaters The image feature matching results are used to generate a set of quality inspection information for key components of electric heater assembly. ,in This indicates the target quality inspection of electric heater products. Quality inspection information of key components in the assembly of electric heaters, corresponding to key components in the quality inspection of various electric heater products; when and Image feature matching was successful, indicating that the target quality inspection of the electric heater product assembly was completed on the first day. If the quality of key components in a type of electric heater product passes quality inspection, the quality inspection information for the key components of the electric heater assembly will be output. It is qualified; when and None of the image features were matched successfully, indicating that the target quality inspection of the electric heater product assembly was unsuccessful. If the quality of key components in a certain type of electric heater fails the quality inspection, the quality inspection information for the key components used in the electric heater assembly will be output. This is not up to standard.

[0026] The manufacturing quality assessment of electric heater products is conducted based on the quality inspection information set of key components in the assembly process. The resulting manufacturing quality assessment information includes the following steps: Step 231: Based on the quality inspection information set of key components in the electric heater assembly Quality Inspection Information of Key Components in Electric Heater Assembly The manufacturing quality assessment of electric heater products is carried out to obtain manufacturing quality assessment information for electric heater products; Collection of quality inspection information for key components in electric heater assembly Quality Inspection Information of Key Components in Electric Heater Assembly If all values ​​are qualified, it means that the assembly quality of the key components of the target quality inspected electric heater product meets the standards, and the output of the manufacturing quality assessment information of the electric heater product is qualified. Collection of quality inspection information for key components in electric heater assembly Quality Inspection Information of Key Components in Electric Heater Assembly If any non-compliance is found, it indicates that there are defects in the assembly of key components of the target quality inspected electric heater product, and the output of the electric heater product manufacturing quality assessment information will be non-compliant.

[0027] By identifying key component assembly stations in electric heaters and combining this with a product manufacturing management platform and cloud-based cameras to dynamically and autonomously acquire feature images of these key components, real-time and efficient high-precision image acquisition of key components is achieved. Based on these feature image data, combined with AI algorithms and qualified feature image data of different key components set according to big data, quality inspection of key components in electric heater product assembly is conducted. Furthermore, AI algorithms are used for intelligent defect detection of key components, improving the accuracy of quality inspection. Through overall quality analysis of key components, a scientific quantitative assessment of the overall manufacturing quality of electric heaters is achieved, realizing closed-loop quality control from individual components to the entire product, and enhancing the objectivity and reliability of electric heater quality inspection.

[0028] For further details, please refer to Figures 1-2 The process of constructing a summary of electric heater quality inspection data and executing an early warning system for electric heater quality inspection results includes the following steps: Step 31: Combine the product feature text information of electric heaters, the key component identification information set of electric heaters, the key component assembly station identification information set of electric heaters, the key component quality inspection information set of electric heaters, and the product manufacturing quality assessment information of electric heaters through data identification to construct the electric heater quality inspection summary data. Step 32: Push the summarized quality inspection data of the electric heater to the product manufacturing management platform through the Internet of Things communication network, and output voice prompts for the quality inspection results of key components of the electric heater in conjunction with the display screen to perform the quality inspection result warning operation. The voice prompts for the quality inspection results of key components of the electric heater include: The quality inspection results of key components of the electric heater have been output and please receive them.

[0029] By integrating electric heater product information, key component identification information, key component workstation data, real-time quality inspection results, and quality assessment information of key components, the system constructs a summary data of electric heater quality inspection. Based on this summary data and combined with the product manufacturing management platform and display screen, it efficiently and dynamically executes early warning operations for electric heater quality inspection results. This enables visualized supervision of electric heater production quality, achieving intelligent control of the entire process from "identification-detection-assessment-early warning," thereby improving the initiative of electric heater quality inspection and overall production efficiency.

[0030] Example 2: Please see Figures 1-2 An AI-powered intelligent detection and quality control system for key components of an electric heater is provided to implement an AI-powered intelligent detection and quality control method for key components of an electric heater. The system includes an electric heater quality inspection positioning module, an electric heater quality analysis module, and an electric heater quality inspection processing module. The electric heater quality inspection positioning module includes an electric heater feature information acquisition unit, an information storage unit for key components of different electric heaters, an identification unit for key components of electric heaters, an information storage unit for assembly stations of key components of different electric heaters, and an identification unit for assembly stations of key components of electric heaters. The system includes: an electric heater feature information acquisition unit, which collects textual information about electric heater product features through a product manufacturing management platform; a key component information storage unit, which stores information about key components for quality inspection of different electric heaters; a key component identification unit, which performs key component object identification processing based on the electric heater product feature textual information and the key component information for quality inspection of different electric heaters to obtain key component identification information; a key component assembly station information storage unit, which stores information about assembly stations for key components for different electric heaters; and a key component assembly station identification unit, which performs key component identification processing based on the key component identification information and the assembly station information for key components for quality inspection of different electric heaters to obtain key component assembly station identification information. The electric heater quality analysis module includes a key component feature image acquisition unit for electric heater assembly, a qualified feature image storage unit for key components of different electric heater assemblies, a key component quality analysis unit for electric heater assembly, and an electric heater manufacturing quality assessment unit. The system includes: a key component feature image acquisition unit for electric heaters, which acquires feature image data of key components through a product manufacturing management platform and a cloud camera; a qualified feature image storage unit for different key components, used to store qualified feature image data of different key components; a key component quality analysis unit, which performs quality inspection processing on key components of the electric heater product based on the feature image data of key components, combined with AI algorithms and qualified feature image data of different key components, to obtain quality inspection information for key components; and a manufacturing quality assessment unit, which performs manufacturing quality assessment processing on the electric heater product based on the quality inspection information of key components, to obtain manufacturing quality assessment information for the electric heater product. The electric heater quality inspection and processing module includes an electric heater quality inspection result collection unit and an electric heater quality inspection result early warning unit. The electric heater quality inspection result collection unit constructs a summary of electric heater quality inspection data based on the product characteristic text information, key component identification information, assembly station identification information, key component quality inspection information, and manufacturing quality assessment information of the electric heater, combined with data processing. The electric heater quality inspection result early warning unit performs early warning operations based on the summary of electric heater quality inspection data and in conjunction with the product manufacturing management platform and display screen.

[0031] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for AI-powered intelligent detection and quality control of key components in an electric heater, characterized in that, The method includes the following steps: Collect textual information on the characteristics of electric heater products, identify key components for quality inspection of electric heater products, and obtain identification information for key components for quality inspection of electric heaters; identify the assembly stations where key components for quality inspection of electric heater products are located, and obtain identification information for assembly stations of key components for electric heaters. Collect feature image data of key components in electric heater assembly; inspect and process the quality of key components in electric heater assembly to obtain quality inspection information of key components in electric heater assembly; evaluate the manufacturing quality of electric heater products to obtain manufacturing quality evaluation information of electric heater products; Generate a summary of electric heater quality inspection data and execute an early warning system for electric heater quality inspection results.

2. The AI-powered intelligent detection and quality control method for key components of an electric heater according to claim 1, characterized in that: The process of collecting textual information on the characteristics of electric heater products, identifying key components for quality inspection, and obtaining key component identification information for electric heaters includes the following steps: The product manufacturing management platform collects the characteristic text information of the target quality inspection electric heater product online and generates the electric heater product characteristic text information. Based on the product feature text information of the electric heater and the information set of key components for quality inspection of different electric heaters, the key component object identification processing of electric heater product quality inspection is performed to obtain the key component identification information set of electric heater quality inspection. Based on the set of key component identification information for electric heaters and the set of assembly station information for different key components of electric heaters, the assembly station where the key components of electric heaters are located is identified, and the set of key component assembly station identification information for electric heaters is obtained.

3. The AI-powered intelligent detection and quality control method for key components of an electric heater according to claim 2, characterized in that: Based on the product feature text information of the electric heater and the information set of key components for quality inspection of different electric heaters, the key component object identification processing for quality inspection of electric heaters is performed to obtain the key component identification information set for quality inspection of electric heaters, including the following steps: Establish a collection of key component information for quality inspection of different electric heaters The include ;in Indicates the first Information on key components for quality inspection of different types of electric heater products; The textual information describing the product features of the electric heater is combined with the... Zhongsuo Perform keyword matching for electric heater product features to search for the corresponding text information of the electric heater product features. And match the text information of the electric heater product characteristics. Data identification information of key components of electric heaters is generated by identifying the characteristics of all corresponding key components. The include ;in This indicates the target quality inspection of electric heater products. Key component identification information for quality inspection of electric heaters.

4. The AI-powered intelligent detection and quality control method for key components of an electric heater according to claim 3, characterized in that: Based on the set of key component identification information for electric heaters and the set of assembly station information for different key components of electric heaters, the process of identifying the assembly station where the key components for electric heaters are located is performed to obtain the set of key component assembly station identification information for electric heaters, including the following steps: Establish a collection of assembly station information for key components of different electric heaters The include ;in Indicates the first Information on the assembly stations for different key components of electric heaters, corresponding to the key components for quality inspection of various electric heaters; The The above With the The above Perform keyword matching for key components of electric heaters to search for relevant information. The corresponding And through data identification, a set of identification information for the assembly station of key components of the electric heater is generated. The include ;in This indicates the target quality inspection of electric heater products. Identification information of the assembly station for key components of electric heaters, corresponding to the key components for quality inspection of electric heater products.

5. The AI ​​intelligent detection and quality control method for key components of an electric heater according to claim 4, characterized in that: The process of collecting feature image data of key components in electric heater assembly, inspecting the quality of these key components to obtain quality inspection information, and evaluating the manufacturing quality of the electric heater to obtain manufacturing quality assessment information includes the following steps: Based on the product manufacturing management platform The above The system controls cloud cameras installed at the assembly station of key components in electric heaters to collect online images of the overall appearance of key components at the assembly station during the manufacturing process of target quality inspection electric heaters, and generates a set of feature image data of key components assembled in electric heaters. The include ;in This indicates the target quality inspection of electric heater products. Feature image data of key components in the assembly of electric heaters, corresponding to key components for quality inspection of various electric heater products; Based on the feature image data set of key components in electric heater assembly and the qualified feature image data set of different key components in electric heater assembly, quality inspection processing of key components in electric heater product assembly is performed to obtain a quality inspection information set of key components in electric heater assembly. Based on the quality inspection information set of key components of the electric heater assembly, the manufacturing quality assessment of the electric heater product is performed to obtain the manufacturing quality assessment information of the electric heater product.

6. The AI-powered intelligent detection and quality control method for key components of an electric heater according to claim 5, characterized in that: Based on the feature image data set of key components in electric heater assembly and the qualified feature image data set of different key components in electric heater assembly, quality inspection processing of key components in electric heater product assembly is performed to obtain a quality inspection information set of key components in electric heater assembly, including the following steps: Establish a set of qualified feature images of key components in the assembly of different electric heaters. The include ;in Indicates the first Image data of qualified characteristics of key components in the assembly of different electric heaters, corresponding to key components for quality inspection of various electric heaters; The The above According to the product quality inspection key component numbers of electric heaters, they are ordered together with the above. The above Image feature matching is performed, and a set of quality inspection information for key components of the electric heater assembly is generated based on the image feature matching results. The process generates a set of quality inspection information for key components of the electric heater assembly. The specific operating steps are as follows: Step 2221: Initialization, set the maximum number of iterations T; Step 2222: After initialization, perform image analysis and select the flame from the moth. Initial generation in the solution space Image analysis of moths and A flame, and = In the Search the search space for the match with the The matching Image analysis shows that moths will fly around the selected flame. Image analysis of moths and The flames are sorted by quality, and the sorted flames are... The flame moved to a better position. At each position, the moth in each image selects a different flame for analysis, and the number of flames decreases as the number of iterations increases; Step 2223: Image analysis of the moth. After selecting a flame, the image analysis shows the moth flying around the flame. For the image analysis of the moth in the... Location in the search space Image analysis shows the moths circling the flame in the... Location in the search space And image analysis of the moth flying around the flame after that New location in the search space ; Step 2224: Image analysis of the moth in the... Fly and move the flames to the appropriate location within the search space. Image analysis of moths in the above In the search space After a fireball flies, update to A new location, calculate this The new location described With the The fitness value, will this A new location and A flame based on + The positions are sorted by priority, and the positions with the best priority are... The position is used as the position of the flame in the next round, in the... Search the search space for the match with the The most matching ; Step 2225: When the maximum number of iterations T is satisfied, output the result as described above. The most matching ; Step 2226: Based on the output in step 2225 With the The image feature matching results are used to generate a set of quality inspection information for key components of electric heater assembly. The include ;in This indicates the target quality inspection of electric heater products. Quality inspection information of key components in the assembly of electric heaters, corresponding to key components in the quality inspection of various electric heater products; when and If image feature matching is successful, the quality inspection information of the key components of the electric heater assembly will be output. It is qualified; when and If no matching of image features is found, the quality inspection information of the key components of the electric heater assembly will be output. This is not up to standard.

7. The AI-powered intelligent detection and quality control method for key components of an electric heater according to claim 6, characterized in that: Based on the quality inspection information set of key components in the electric heater assembly, the manufacturing quality assessment of the electric heater product is performed, and the resulting manufacturing quality assessment information includes the following steps: Based on the above The above The manufacturing quality assessment of electric heater products is carried out to obtain manufacturing quality assessment information for electric heater products; When the The above If all results are satisfactory, then the manufacturing quality assessment information for the electric heater product will be output as satisfactory. When the The above If any defects are found, the manufacturing quality assessment information for the electric heater product will be output as unqualified.

8. The AI-powered intelligent detection and quality control method for key components of an electric heater according to claim 7, characterized in that: The process of compiling and summarizing the quality inspection data for electric heaters and executing the early warning operation for the quality inspection results includes the following steps: The product feature text information of the electric heater, the key component identification information set of the electric heater, the key component assembly station identification information set of the electric heater, the key component quality inspection information set of the electric heater, and the product manufacturing quality assessment information of the electric heater are combined through data identification to construct the electric heater quality inspection summary data. The summarized quality inspection data of the electric heater is pushed to the product manufacturing management platform through the Internet of Things communication network, and the display screen outputs voice prompts for the quality inspection results of key components of the electric heater to perform the early warning operation of the quality inspection results of the electric heater. The voice prompts for the quality inspection results of key components of the electric heater include "The quality inspection results of key components of the electric heater have been output and please receive them." 9. An AI-powered intelligent detection and quality control system for key components of an electric heater, used to implement the AI-powered intelligent detection and quality control method for key components of an electric heater as described in any one of claims 1-8, characterized in that: The system includes an electric heater quality inspection and positioning module, an electric heater quality analysis module, and an electric heater quality inspection and processing module.

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