Intelligent manufacturing production system of high-voltage generator set for communication

Abstract

The invention discloses an intelligent manufacturing and production system of a high-voltage generator set for communication in the technical field of generator set production, and the system can be carried on an intelligent production line with a controller for use. Automatically generating a design drawing and parameters of the generator set according to customer requirements; according to the automatic material carrying unit, a robot and an automatic guide vehicle are adopted for carrying raw materials and semi-finished products, manual intervention is reduced, and the carrying efficiency is improved. According to the automatic process, through an automatic material carrying system and a precise assembling unit, manual intervention is reduced, and the operation speed and accuracy are improved; and intelligent scheduling: the intelligent scheduling system optimizes a production plan and resource allocation, reduces downtime and non-production time, and further improves the operation efficiency of the production line.

Description

Technical Field

[0001] The present invention relates to the technical field of generator set production, and in particular to an intelligent manufacturing production system for high-voltage generator sets for communications. Background Art

[0002] The size of the generator set shrinks and the temperature rises rapidly, reaching the ignition point of the diesel. The diesel is ignited, the mixed gas burns violently, and the volume expands rapidly, pushing the piston downward, which is called "work". Each cylinder works in a certain order, and the thrust acting on the piston is transformed into a force that drives the crankshaft to rotate through the connecting rod, thereby driving the crankshaft to rotate. Using the principle of "electromagnetic induction", the generator will output an induced electromotive force, and current can be generated through a closed load circuit. Here we only describe the most basic working principle of the generator set. In order to obtain usable and stable power output, a series of diesel engine and generator control, protection devices and circuits are also required.

[0003] Intelligent manufacturing originates from the study of artificial intelligence. It is generally believed that intelligence is the sum of knowledge and intelligence. The former is the basis of intelligence, and the latter refers to the ability to obtain and apply knowledge to solve problems. Intelligent manufacturing should include intelligent manufacturing technology and intelligent manufacturing systems. Intelligent manufacturing systems can not only continuously enrich the knowledge base in practice, but also have self-learning functions, as well as the ability to collect and understand environmental information and its own information, and to analyze, judge and plan its own behavior.

[0004] In the communications industry, high-voltage generator sets are key power supply equipment, and their performance directly affects the stability and reliability of the communications network. Traditional production methods often rely on manual operations, which are inefficient and difficult to ensure product consistency and quality. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent manufacturing production system for high-voltage generator sets for communications to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above purpose, the present invention provides the following technical solution: an intelligent manufacturing production system for high-voltage generator sets for communications, which can be mounted on an intelligent production line with a controller for use, comprising:

[0007] Intelligent design unit: using computer-aided design software to automatically generate design drawings and parameters of generator sets according to customer needs;

[0008] Automated material handling unit: robots and automatic guided vehicles are used to handle raw materials and semi-finished products, reducing manual intervention and improving handling efficiency;

[0009] Precision assembly unit: Use high-precision robotic arms and automated tools to achieve precise assembly of generator set components;

[0010] Online monitoring and quality control unit: integrated sensors and visual inspection units to monitor key parameters in the production process in real time and automatically adjust production parameters to ensure product quality;

[0011] Intelligent scheduling unit: Based on artificial intelligence algorithms, it optimizes production processes and resource allocation to improve production efficiency;

[0012] Data Analysis and Optimization Unit: Collect production data, evaluate the production process and make optimization recommendations through big data analysis technology.

[0013] As a further solution of the present invention: the automated material handling system further includes the following submodules:

[0014] Robots and Automated Guided Vehicles: Robots and AGVs in the system are responsible for transporting the required raw materials and semi-finished products between various stations of the production line;

[0015] Gyroscope module: used to obtain the initial angle of the handling robot and build a rectangular coordinate system for the site, set the initial position of the robot as the coordinate origin, and ensure that the robot can accurately locate and navigate during the handling process;

[0016] QR code scanning module: reads the task information of the target material by scanning the QR code. This information will be uploaded to the control module to guide the robot to carry out precise material handling;

[0017] Visual recognition module: uses advanced image processing technology to identify target materials based on color and shape, and uploads the identified information to the control module, thereby improving the intelligence of handling;

[0018] Control module: receives information from the QR code scanning and visual recognition modules, and sends control instructions to the drive module to complete material grabbing and placement operations;

[0019] Drive module: Receives action instructions from the control module and drives the handling robot to move to the specified position to perform material grabbing and placement actions.

[0020] As a further solution of the present invention: the precision assembly unit includes the following submodules:

[0021] Component preparation: Individual parts and components delivered by the automated material handling system are accurately placed in the assembly area;

[0022] Precision assembly: Use precision robotic arms and automation devices to assemble components according to the parameters and drawings provided by the intelligent design module;

[0023] Online inspection and quality control: During the assembly process, integrated sensors and visual inspection systems monitor assembly quality in real time, including component position, tightness, and assembly accuracy;

[0024] Functional test: After the physical assembly is completed, the assembled generator set will be subjected to preliminary functional test to ensure that its basic performance meets the requirements;

[0025] Data recording and feedback: All assembly data and test results will be recorded and fed back to the intelligent scheduling system and data analysis module for production process optimization and subsequent product quality traceability.

[0026] As a further solution of the present invention: the online monitoring and quality control unit further includes the following submodules:

[0027] Sensor system: Various sensors deployed on the production line to collect production data in real time, including temperature, pressure, current, and voltage parameters;

[0028] Visual inspection system: uses high-resolution cameras and image processing technology to inspect product appearance and assembly quality;

[0029] Data analysis and processing software: collects data from sensors and visual inspection systems, and uses preset algorithms and quality standards to analyze them to determine whether the product meets quality requirements;

[0030] Automatic feedback and adjustment mechanism: When abnormalities in the production process or product quality deviations are detected, the system can automatically adjust production parameters or suspend the production line to prevent the production of unqualified products;

[0031] Quality tracking and recording: The system records and stores monitoring data and analysis results to establish a complete quality tracking file;

[0032] Integration and interoperability: The online monitoring and quality control units are tightly integrated with the system units, forming a highly collaborative and automated intelligent manufacturing environment.

[0033] Compared with the prior art, the invention has the following beneficial effects: improving production efficiency

[0034] Automated process: Through automated material handling systems and precision assembly units, human intervention is reduced, and operation speed and accuracy are improved;

[0035] Intelligent Scheduling: The intelligent scheduling system optimizes production planning and resource allocation, reduces downtime and non-productive time, and further improves the operating efficiency of the production line.

[0036] Ensure product quality

[0037] Online monitoring and quality control: Integrated sensors and visual inspection systems monitor key parameters in the production process in real time, automatically adjust or eliminate abnormalities to ensure high quality of the final product;

[0038] Data analysis and optimization: Collect and analyze production data to improve product consistency and quality through continuous improvement of production processes and parameters.

[0039] Reduce production costs

[0040] Reduced waste: Through intelligent design and precise control of the production process, the waste of raw materials and energy is reduced;

[0041] Predictive maintenance: By predicting equipment failures, maintenance costs and losses from unexpected downtime are reduced.

[0042] Enhance market competitiveness

[0043] Quick response to market demand: The intelligent design module can quickly generate design solutions according to customer needs, shortening the cycle from product design to production and enhancing market response speed;

[0044] Enhance brand image: High-quality products and fast delivery capabilities improve customer satisfaction and brand reputation, further increasing market share.

[0045] Promoting sustainable development

[0046] Energy saving and emission reduction: Intelligent scheduling systems and data analysis platforms can optimize energy use, reduce energy consumption and emissions, and support green manufacturing;

[0047] Promote technological innovation: The implementation of the system has promoted the application of advanced manufacturing technology and information technology, and promoted technological progress and innovation in the industry.

[0048] Improve employee safety

[0049] Reduce manual operation risks: Automation and intelligent technologies reduce the number of operations performed by employees in high-risk environments and improve work safety;

[0050] Provide training and support: The system can record and analyze the operating habits of operators, provide targeted training and support to employees, and further improve the safety of the working environment.

[0051] Improve management level

[0052] Data-driven decision-making: The detailed data and analysis reports provided by the data analysis platform provide management with a scientific basis for decision-making, thus improving management efficiency and decision-making quality;

[0053] Visual management tools: Intuitive data visualization tools help managers easily understand production status and performance indicators, making it easier to adjust and optimize production strategies in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 This is a system schematic diagram of the intelligent manufacturing production system of the high-voltage generator set for communications of the present invention. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0057] In the description of the present invention, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship are based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0058] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "set" should be understood in a broad sense, for example, they can be fixedly connected or set, or detachably connected or set, or integrally connected or set. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0059] See also Figure 1In an embodiment of the present invention, a communication high-voltage generator set intelligent manufacturing production system can be mounted on an intelligent production line with a controller for use, including:

[0060] Intelligent design unit: using computer-aided design software to automatically generate design drawings and parameters of generator sets according to customer needs;

[0061] Automated material handling unit: robots and automatic guided vehicles are used to handle raw materials and semi-finished products, reducing manual intervention and improving handling efficiency;

[0062] Precision assembly unit: Use high-precision robotic arms and automated tools to achieve precise assembly of generator set components;

[0063] Online monitoring and quality control unit: integrated sensors and visual inspection units to monitor key parameters in the production process in real time and automatically adjust production parameters to ensure product quality;

[0064] Intelligent scheduling unit: Based on artificial intelligence algorithms, it optimizes production processes and resource allocation to improve production efficiency;

[0065] Data Analysis and Optimization Unit: Collect production data, evaluate the production process and make optimization recommendations through big data analysis technology.

[0066] The intelligent design module is one of the core components of the present invention, and is mainly responsible for automatically generating design drawings and parameters of the high-voltage generator set for communication.

[0067] In the "intelligent manufacturing and production system for high-voltage generator sets for communication" of the present invention, the intelligent design module uses computer-aided design (CAD) software to automatically generate design drawings and parameters of the generator set according to customer needs. This module uses advanced algorithms and artificial intelligence technology to achieve a highly automated and precise design process from functional requirement analysis to the output of specific design drawings.

[0068] The intelligent design module greatly reduces the time and resources required for traditional manual design through intelligent means, and improves design efficiency and accuracy. This module plays a vital role in the intelligent manufacturing production system of high-voltage generator sets for communications, laying the foundation for the efficient operation of the entire production system.

[0069] The automated material handling unit in the present invention is a key component of the intelligent manufacturing production system of the high-voltage generator set for communications, and is mainly responsible for automatically handling raw materials and semi-finished products during the production process, thereby reducing manual intervention and improving handling efficiency.

[0070] The automated material handling unit consists of the following core modules:

[0071] Robots and Automated Guided Vehicles (AGVs): The robots and AGVs in the system are responsible for transporting the required raw materials and semi-finished products between various stations of the production line. These robots are equipped with high-precision sensors and advanced navigation technology, which can autonomously locate and avoid obstacles in complex manufacturing environments.

[0072] Gyroscope module: used to obtain the initial angle of the handling robot and build the rectangular coordinate system of the site, set the initial position of the robot as the coordinate origin, and ensure that the robot can accurately position and navigate during the handling process.

[0073] QR code scanning module: reads the task information of the target material by scanning the QR code. This information will be uploaded to the control module to guide the robot to perform precise material handling.

[0074] Visual recognition module: It uses advanced image processing technology to identify target materials based on color and shape, and uploads the identified information to the control module, thereby improving the intelligence of handling.

[0075] Control module: Receives information from the QR code scanning and visual recognition modules, and sends control instructions to the drive module to complete the material grabbing and placement operations. At the same time, the control module is also responsible for the scheduling and optimization of the entire handling system.

[0076] Drive module: Receives action instructions from the control module and drives the handling robot to move to the specified position to perform material grabbing and placement actions.

[0077] In summary, the automated material handling system of the present invention realizes efficient, accurate and automated material handling functions by integrating advanced robotics technology and intelligent control modules. The system plays an important role in the intelligent manufacturing production system of high-voltage generator sets for communications, significantly improving production efficiency and reducing production costs.

[0078] In the "intelligent manufacturing production system for high-voltage generator sets for communication" of the present invention, the precision assembly unit adopts advanced automation technology and robotic devices to realize the automated and high-precision assembly of various components of the high-voltage generator set. This process can be roughly divided into the following steps:

[0079] Component preparation: The various parts and components delivered by the automated material handling system are accurately placed in the assembly area. These components include but are not limited to engines, generators, control systems and other related accessories.

[0080] Precision assembly: Using precision robotic arms and automation devices, components are assembled according to the parameters and drawings provided by the intelligent design module. In this stage, every assembly action and assembly accuracy are strictly controlled to ensure the high quality of the final product.

[0081] Online inspection and quality control: During the assembly process, integrated sensors and visual inspection systems monitor assembly quality in real time, including component position, tightness, and assembly accuracy. Any non-compliance will be detected immediately and the system will automatically make adjustments or prompt manual intervention.

[0082] Functional test: After the physical assembly is completed, the assembled generator set will be subjected to preliminary functional test to ensure that its basic performance meets the requirements.

[0083] Data recording and feedback: All assembly data and test results will be recorded and fed back to the intelligent scheduling system and data analysis module for production process optimization and subsequent product quality traceability.

[0084] In addition, the precision assembly unit also ensures the efficiency and consistency of production through close cooperation with other modules in the system, such as the intelligent design module and the automated material handling system. In this way, not only the production efficiency is greatly improved, but also the high quality and reliability of the product are ensured, which is especially suitable for the high standard requirements of the communication industry for the stability and reliability of high-voltage generator sets.

[0085] In short, precision assembly units play a vital role in the intelligent manufacturing production system of high-voltage generator sets for communications. They not only improve production efficiency, but also ensure product quality through precise control and real-time monitoring, meeting the special technical requirements of the communications industry for high-voltage generator sets.

[0086] The online monitoring and quality control unit in the present invention is a key part of the "intelligent manufacturing production system for high-voltage generator sets for communications", and is mainly responsible for real-time monitoring and control of product quality during the production process to ensure that the final product meets high quality standards.

[0087] The unit consists of the following core components:

[0088] Sensor system: Various sensors deployed on the production line are used to collect real-time production data, such as temperature, pressure, current, voltage and other parameters. These data are crucial to ensure the stability of the production process and the quality of the product.

[0089] Visual inspection system: uses high-resolution cameras and image processing technology to inspect product appearance and assembly quality. For example, check the quality of solder joints, the uniformity of coatings, the correctness of labels, etc.

[0090] Data analysis and processing software: collects data from sensors and visual inspection systems, and analyzes them using preset algorithms and quality standards to determine whether the product meets quality requirements.

[0091] Automatic feedback and adjustment mechanism: When abnormalities in the production process or product quality deviations are detected, the system can automatically adjust production parameters or suspend the production line to prevent the production of substandard products. At the same time, the system will send an alarm to the operator or manager to request manual intervention (if necessary).

[0092] Quality tracking and recording: The system records and stores monitoring data and analysis results to establish a complete quality tracking file. This not only helps with subsequent quality problem investigations, but also serves as an important basis for continuous improvement of production processes and product quality.

[0093] Integration and interoperability: The online monitoring and quality control unit is tightly integrated with other system modules (such as intelligent design modules, automated material handling systems, and precision assembly units) to form a highly collaborative and automated intelligent manufacturing environment.

[0094] Through the collaborative work of these components, the online monitoring and quality control unit can ensure that every product produced by the "Intelligent Manufacturing Production System for High-Voltage Generator Sets for Communications" meets the highest quality standards, reduces scrap rates, improves production efficiency, and optimizes cost-effectiveness. This intelligent quality management method is an indispensable part of a modern and efficient manufacturing system.

[0095] The intelligent scheduling unit in the present invention is mainly responsible for optimizing and coordinating the various processes and resource allocation in the entire production process.

[0096] The intelligent scheduling unit achieves its role through the following key functions:

[0097] Data-driven decision making: The system collects data from online monitoring and quality control units, precision assembly units, and automated material handling systems, and uses advanced algorithms (such as machine learning and artificial intelligence) for analysis to understand the status and efficiency of the production line in real time.

[0098] Dynamic adjustment of production plans: Based on real-time data and preset production targets, the intelligent scheduling system can dynamically adjust production plans, such as changing the production sequence, adjusting the production line speed, or reallocating resources to respond to emergencies or optimize production efficiency.

[0099] Optimal resource allocation: The system automatically allocates human and material resources according to production needs. For example, it can automatically deploy robots and operators to the corresponding production lines or workstations according to the urgency and complexity of the production tasks.

[0100] Predictive maintenance: By continuously monitoring equipment status and performance data, intelligent scheduling systems are able to predict potential equipment failures and schedule maintenance work in advance, thereby reducing downtime and improving production efficiency.

[0101] Energy management: The system can also optimize energy use, such as adjusting the energy consumption of production equipment to ensure that energy conservation and emission reduction goals are achieved while meeting production needs.

[0102] Integration and interoperability: The intelligent scheduling system is tightly integrated with other modules in the manufacturing system (such as intelligent design module, automated material handling system, etc.) to ensure seamless and efficient operation of the entire production process.

[0103] User Interface: The system provides an intuitive user interface that enables operators and managers to easily monitor the production process, view real-time data and receive system recommendations or alerts.

[0104] Feedback loop: The intelligent scheduling system also establishes a feedback loop to continuously improve scheduling strategies and production processes by constantly learning from past production data and experience.

[0105] Safety assurance: The system also ensures that all operations are performed within safety parameters, preventing any situation that could cause harm to personnel or equipment.

[0106] In general, the intelligent dispatching system has significantly improved the overall efficiency and reliability of the "intelligent manufacturing production system of high-voltage generator sets for communications" through intelligent and automated methods, ensuring the consistency of high-quality products and the optimization of the production process.

[0107] The data analysis and optimization platform in the present invention is an important part of the "intelligent manufacturing production system of high-voltage generator sets for communications", which is mainly responsible for analyzing the large amount of data generated in the production process, and optimizing the production process and improving efficiency and quality based on these analysis results.

[0108] The core functions of the data analysis and optimization platform include:

[0109] Data collection: The platform can collect data from various modules and units in the entire production system (such as intelligent design modules, automated material handling systems, precision assembly units, online monitoring and quality control units, and intelligent scheduling systems). These data may include production efficiency indicators, quality control results, equipment operating status, material usage, etc.

[0110] Data storage: The platform has powerful data storage capabilities, which can safely save and manage massive production data. These data are not only used for real-time analysis, but also for long-term trend analysis and historical comparison.

[0111] Data analysis: Using advanced data processing techniques such as statistical analysis, machine learning, and artificial intelligence, the platform can identify patterns and trends in the data to discover bottlenecks, inefficiencies, or potential quality issues in the production process.

[0112] Performance evaluation: By analyzing production data, the platform can evaluate the performance of each production unit and the entire system, such as production speed, product quality, resource utilization, etc.

[0113] Optimization suggestions: Based on the results of data analysis, the platform can provide specific optimization suggestions, such as adjusting production parameters to reduce scrap rate, rearranging production plans to shorten total production time, or upgrading equipment to improve efficiency.

[0114] Predictive model: The platform can build predictive models to predict future production needs, potential failures and maintenance needs, etc., thereby helping production managers make more informed decisions.

[0115] Visual display: The platform provides intuitive data visualization tools, allowing managers and operators to easily understand complex data and analysis results, and grasp production status and performance in a timely manner.

[0116] Feedback implementation: The platform's analysis results and optimization suggestions can be directly fed back to each part of the production system to achieve closed-loop control and continuous improvement.

[0117] Security and Compliance: Ensure that all data processing and storage activities comply with relevant data protection standards and industry regulations.

[0118] Integration and interoperability: The platform is tightly integrated with other modules in the manufacturing system to ensure seamless data and information flows and support collaborative work and optimization of the system.

[0119] Through these functions, the data analysis and optimization platform not only improves the transparency and traceability of the intelligent manufacturing production system of high-voltage generator sets for communications, but also significantly improves operational efficiency and product quality, ultimately driving the production system towards a higher level of intelligence and automation.

[0120] In the "Intelligent Manufacturing Production System for High-Voltage Generator Sets for Communications", performance evaluation and optimization suggestions are one of the key functions of the data analysis and optimization platform. The following is a detailed description of these two functions:

[0121] Performance Evaluation

[0122] Performance evaluation is the analysis of data collected during the production process to evaluate the efficiency and effectiveness of various aspects of the system. This includes the following steps:

[0123] Data collection: Collect data on production efficiency, quality control, equipment operation status, resource consumption, etc. from various modules in the system (such as intelligent design module, automated material handling system, precision assembly unit, etc.).

[0124] Setting of key performance indicators (KPIs): Determine the key indicators used to evaluate performance, such as production time, cost, product quality, equipment efficiency, energy consumption, etc.

[0125] Data analysis: Use statistical methods and predictive models to analyze data and identify efficient and inefficient links in the production process, as well as possible quality problems or resource waste.

[0126] Comparison and Benchmarking: Compare current performance data to historical data, industry standards, or preset targets to assess room for improvement.

[0127] Report Generation: Generates detailed performance assessment reports that show management the current status of the system and identify key areas that require attention.

[0128] Optimization suggestions

[0129] Based on the results of the performance evaluation, the data analysis and optimization platform will make specific optimization suggestions aimed at improving production efficiency, reducing costs, and improving product quality. These suggestions may include:

[0130] Parameter adjustment: Adjust production parameters such as speed, temperature, pressure, etc. according to the analysis results to achieve the best production effect.

[0131] Process Redesign: Propose changes or optimizations to specific production processes to reduce waste and increase efficiency.

[0132] Resource reallocation: Based on the analysis of resource utilization efficiency, propose resource reallocation plans to ensure that key areas or bottleneck links receive adequate support.

[0133] Equipment maintenance and upgrade: Propose preventive maintenance plans or equipment upgrade suggestions based on the analysis results of equipment efficiency and maintenance needs.

[0134] Training and staff adjustments: If it is found that certain problems are due to improper operation, additional employee training or adjustments to work assignments may be recommended.

[0135] Quality control enhancement: For detected quality issues, measures to strengthen quality control are proposed, such as adding checkpoints or improving detection methods.

[0136] Feedback mechanism: Establish or improve feedback mechanisms to ensure that the effectiveness of the implementation of optimization suggestions can be tracked and further adjustments can be made when necessary.

[0137] Performance evaluation and optimization suggestions are a continuous cycle. Through continuous monitoring, analysis and improvement, the intelligent manufacturing production system of the present invention can continuously improve its performance and adapt to changing market demands and technological advances.

[0138] It should be noted that, in this article, the terms "comprise", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise one..." do not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0139] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.

Claims

1. Intelligent manufacturing production system for high-voltage generator sets for communications. This system can be used on an intelligent production line with a controller. It is characterized by: include: Intelligent design unit: using computer-aided design software to automatically generate design drawings and parameters of generator sets according to customer needs; Automated material handling unit: robots and automatic guided vehicles are used to handle raw materials and semi-finished products, reducing manual intervention and improving handling efficiency; Precision assembly unit: Use high-precision robotic arms and automated tools to achieve precise assembly of generator set components; Online monitoring and quality control unit: integrated sensors and visual inspection units to monitor key parameters in the production process in real time and automatically adjust production parameters to ensure product quality; Intelligent scheduling unit: Based on artificial intelligence algorithms, it optimizes production processes and resource allocation to improve production efficiency; Data Analysis and Optimization Unit: Collect production data, evaluate the production process and make optimization recommendations through big data analysis technology.

2. The intelligent manufacturing production system of high-voltage generator sets for communications according to claim 1 is characterized in that: The automated material handling system also includes the following submodules: Robots and Automated Guided Vehicles: Robots and AGVs in the system are responsible for transporting the required raw materials and semi-finished products between various stations of the production line; Gyroscope module: used to obtain the initial angle of the handling robot and build a rectangular coordinate system for the site, set the initial position of the robot as the coordinate origin, and ensure that the robot can accurately locate and navigate during the handling process; QR code scanning module: reads the task information of the target material by scanning the QR code. This information will be uploaded to the control module to guide the robot to carry out precise material handling; Visual recognition module: uses advanced image processing technology to identify target materials based on color and shape, and uploads the identified information to the control module, thereby improving the intelligence of handling; Control module: receives information from the QR code scanning and visual recognition modules, and sends control instructions to the drive module to complete material grabbing and placement operations; Drive module: Receives action instructions from the control module and drives the handling robot to move to the specified position to perform material grabbing and placement actions.

3. The intelligent manufacturing production system of high-voltage generator sets for communication according to claim 1 is characterized in that: The precision assembly unit includes the following submodules: Component preparation: Individual parts and components delivered by the automated material handling system are accurately placed in the assembly area; Precision assembly: Use precision robotic arms and automation devices to assemble components according to the parameters and drawings provided by the intelligent design module; Online inspection and quality control: During the assembly process, integrated sensors and visual inspection systems monitor assembly quality in real time, including component position, tightness, and assembly accuracy; Functional test: After the physical assembly is completed, the assembled generator set will be subjected to preliminary functional test to ensure that its basic performance meets the requirements; Data recording and feedback: All assembly data and test results will be recorded and fed back to the intelligent scheduling system and data analysis module for production process optimization and subsequent product quality traceability.

4. The intelligent manufacturing production system of high-voltage generator sets for communication according to claim 1 is characterized in that: The online monitoring and quality control unit also includes the following submodules: Sensor system: Various sensors deployed on the production line to collect production data in real time, including temperature, pressure, current, and voltage parameters; Visual inspection system: uses high-resolution cameras and image processing technology to inspect product appearance and assembly quality; Data analysis and processing software: collects data from sensors and visual inspection systems, and uses preset algorithms and quality standards to analyze them to determine whether the product meets quality requirements; Automatic feedback and adjustment mechanism: When abnormalities in the production process or product quality deviations are detected, the system can automatically adjust production parameters or suspend the production line to prevent the production of unqualified products; Quality tracking and recording: The system records and stores monitoring data and analysis results to establish a complete quality tracking file; Integration and interoperability: The online monitoring and quality control units are tightly integrated with the system units, forming a highly collaborative and automated intelligent manufacturing environment.

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