AI artificial intelligence preparation technology for 25KN rod-type porcelain insulator of high-speed rail overhead line system

Abstract

The invention discloses an AI artificial intelligence preparation technology for a 25KN rod type porcelain insulator of a high-speed rail overhead line system, and relates to the technical field of electrified transportation of high-speed rails. The problems existing in the prior art are solved. According to the preparation technology, low-expansion and high-performance raw materials are adopted, a production process is carried out through AI artificial intelligence big data automatic advanced equipment, and a rod type porcelain insulator main body and a metal flange are included; the production method of the rod-shaped porcelain insulator main body comprises the following production steps: carefully selecting ingredients, proportioning, ball-milling, deironing, sieving, extracting slurry, squeezing mud, pugging, performing high-pressure vacuum treatment, forming, drying, glazing, feeding into a kiln, roasting, inspecting, coating with a polymer, inspecting, packaging and warehousing. According to the production process, low-expansion and high-performance raw materials are adopted, AI artificial intelligence big data automatic advanced equipment is adopted, resource allocation is optimized, quality control, detection and analysis of the rod type porcelain insulator are improved, production efficiency is improved, and new reliability of sustainable development is achieved.

Description

Technical Field

[0001] The present invention relates to the field of high-speed rail transportation technology, and in particular to an AI artificial intelligence preparation technology for 25KN rod-type porcelain insulators for high-speed rail contact networks. Background Art

[0002] With the vigorous advancement of railway electrification, the railway system has experienced unprecedented rapid development, with electrification technology becoming a core trend driving the upgrade of railway traction power. Currently, the bending strength of most railway rod-type porcelain insulators on the domestic market remains in the 8kN to 12kN range, primarily in products with 178mm and 205mm sheath diameters.

[0003] Currently, although many companies have adopted high-strength porcelain formulas for material selection, they still generally use traditional methods for the glazing of insulators. This results in insufficient bonding strength and makes it difficult to achieve a bending strength exceeding 16kN, thus limiting the widespread application of these insulators in high-speed electrified railways. To address this, we utilize an AI-powered, big data-automated production process line. From batching to product storage, AI-powered preparation technology guides all processes. By integrating technological innovation and process upgrades, we are breaking through existing bottlenecks and improving the performance, quality control, testing, and analysis of rod-type porcelain insulators to meet the new requirements of high-speed rail development for 16kN-25kN rod-type porcelain insulators. Summary of the Invention

[0004] The purpose of the present invention is to solve the shortcomings of the existing technology and propose an AI artificial intelligence preparation technology for 16KN-25KN rod-type porcelain insulators for high-speed railway contact networks.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] The AI-powered production technology for 25kN rod-type porcelain insulators for high-speed rail contact networks uses low-expansion, high-performance raw materials and is produced using advanced AI big data automation equipment. The production process includes the rod-type porcelain insulator body and metal flange. The production steps for the rod-type porcelain insulator body include selecting ingredients - dosing - ball milling - iron removal - screening - paddle extraction - mud squeezing - mud kneading - high-pressure vacuum - molding - drying - glazing - kiln loading - firing - inspection - polymer coating - side inspection - packaging - and warehousing.

[0007] The metal flange is arranged on the upper end of the porcelain piece on the main body of the rod-type porcelain insulator.

[0008] Preferably, the raw materials of the rod-type porcelain insulator body are the following percentage components: 10-15% industrial alumina powder, 13-18% short fiber, 3-5% feldspar, 25-30% kaolin, 1.5-2.0% zirconia, 3-5% quartz, 10-15% cordierite, and 14-16% black soil.

[0009] Preferably, the raw material fineness of the rod-type porcelain insulator body is 300 mesh.

[0010] Preferably, the molding pressure is 80-100 MPa and the molding time is 15-20 min;

[0011] The calcination temperature is 1300-1400° C., and the calcination time is 12-18 hours.

[0012] Preferably, the porcelain piece of the rod-type porcelain insulator body is glued into the connecting steel cap, and the inner wall of the connecting steel cap is evenly coated with a glue layer.

[0013] Preferably, the bonding layer is made by mixing and stirring quartz sand, cement and water in a ratio of 40% to 60%: 30% to 40%: 10% to 20%.

[0014] Preferably: the AI ​​artificial intelligence big data automation advanced equipment includes a sensor component for collecting various parameter data during the production process, a data collection and storage module for robots and information transmission, storage and management of data collected during the production process, an artificial intelligence computing platform for running and analyzing data, automated robot-operated production equipment for automatically completing production tasks according to preset parameters and algorithms, and a monitoring and control system for real-time monitoring and control of the production process.

[0015] The beneficial effects of the present invention are:

[0016] 1. The present invention adopts low expansion, high performance raw materials and adopts AI artificial intelligence big data automation advanced equipment to carry out the production process. By optimizing resource allocation, it improves the quality control, detection and analysis of rod-type porcelain insulators, improves production efficiency and new reliability of sustainable development.

[0017] 2. The present invention adopts composite structural ceramic manufacturing technology. The raw materials include industrial alumina powder, short fibers, feldspar, kaolin, zirconia, quartz, cordierite, black soil, etc. The production process is completed through an AI artificial intelligence big data automated advanced equipment production process line. From dosing to roasting to finished product, it is guided by artificial intelligence preparation technology computer. The resulting rod-type porcelain insulator has the characteristics of high density, high strength, good toughness and low dispersion. The bending load strength range reaches 16KN to ≧25KN, the torque load reaches ≧15KN·m, and the traction impact force is ≧2.5 tons. The weight of a single rod-type porcelain insulator is relatively light, ensuring lightweight.

[0018] 3. The present invention uses ETV liquid high-temperature silicone rubber to automatically coat the upper surface of the shed to prevent dust, which fully meets the technical requirements for the use of rod-type porcelain insulators in high-speed railway contact networks.

[0019] 4. The data collected by the sensor assembly is transmitted in real time to the data collection and storage module. It is then processed and analyzed by the artificial intelligence computing platform to derive optimized production parameters and control instructions. Automated robotic production equipment automatically completes production tasks based on these information instructions, while a monitoring and control system monitors and controls the production process in real time. The entire manufacturing process is computer-guided using AI-powered automated advanced equipment manufacturing technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 This is a schematic diagram of the partial cross-sectional structure of the rod-type porcelain insulator body proposed in the present invention.

[0021] In the figure: 1. Rod-type porcelain insulator body, 2. Connecting steel cap, 3. Gluing layer. DETAILED DESCRIPTION

[0022] The technical solution of this patent is further described in detail below in conjunction with specific implementation methods.

[0023] The following describes in detail embodiments of the present invention, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0024] Example 1:

[0025] AI artificial intelligence manufacturing technology for 25KN rod-type porcelain insulators for high-speed railway contact network, such as Figure 1 As shown, the production process uses low-expansion, high-performance raw materials and is carried out by AI artificial intelligence big data automation advanced equipment robots. By optimizing resource allocation, the quality control, detection and analysis of rod-type porcelain insulators are improved, and production efficiency and sustainable development new reliability are improved.

[0026] Preferably, the assembly line of the AI ​​artificial intelligence big data automated advanced equipment production process, from dosing to product warehousing, is guided by AI artificial intelligence preparation technology computers.

[0027] The rod-type porcelain insulator includes a rod-type porcelain insulator body 1 and a metal flange, wherein the metal flange is arranged on the upper end of the porcelain part on the rod-type porcelain insulator body 1 to ensure that the insulator can be firmly installed on the electrified high-speed railway contact network equipment.

[0028] Furthermore, the raw materials of the rod-type porcelain insulator body 1 are low-expansion, high-performance raw materials such as industrial alumina powder 10-15%, short fiber 13-18%, feldspar 3-5%, kaolin 25-30%, zirconia 1.5-2.0%, quartz 3-5%, cordierite 10-15%, and black soil 14-16%;

[0029] Preferably, the raw material fineness of the rod-type porcelain insulator body 1 is 300 mesh.

[0030] Furthermore, the production steps of the rod-type porcelain insulator body 1 include selecting ingredients - dosing - ball milling - iron removal - screening - paddle extraction - mud squeezing - mud kneading - high-pressure vacuum - molding - drying - glazing - kiln entry - firing - inspection - polymer coating - inspection - packaging - warehousing, etc., all of which are completed under the guidance of AI artificial intelligence big data preparation technology computer.

[0031] Preferably, the blank forming pressure of the rod-type porcelain insulator body 1 is 80-100 MPa, and the forming time is 15-20 minutes, which is adjusted according to the size and requirements of the blank.

[0032] Preferably, the calcination temperature is 1300-1400° C., and the calcination time is 12-18 hours.

[0033] The AI ​​artificial intelligence big data automation advanced equipment includes sensor components for collecting various parameter data during the production process, data collection and storage modules for robotics and information transmission, storage and management of data collected during the production process, an artificial intelligence computing platform for running and analyzing data, automated robot-operated production equipment for automatically completing production tasks according to preset parameters and algorithms, and a monitoring and control system for real-time monitoring and control of the production process;

[0034] Preferably, the sensor components include temperature and humidity sensors, pressure sensors, flow sensors, liquid level sensors, sensitive sensors, proximity sensors, float sensors, connection sensors, etc., which are used to transmit the collected data in real time for analysis and processing, and provide basic data for subsequent intelligent analysis and control.

[0035] Preferably, the artificial intelligence computing platform includes tools such as machine learning libraries and deep learning frameworks for analyzing and processing the collected data.

[0036] Preferably, automated robotic production equipment includes intelligent presses and automated sintering furnaces, completing production tasks such as pressing, forming, and sintering. The various modules of advanced AI big data automation equipment are interconnected through IoT technology, forming an intelligent production system. Data collected by sensor components is transmitted in real time to the data collection and storage module, which is then processed and analyzed by the AI ​​computing platform to derive optimized production parameters and control instructions. Automated robotic production equipment automatically completes production tasks based on these information instructions, while monitoring and control systems monitor and control the production process in real time.

[0037] Furthermore, the rod-type porcelain insulator has a bending load strength of 16KN to ≧25KN, a torque load ≧15KN·m, a traction impact force ≧2.5 tons, a compressive strength of 386KPa, a fracture toughness of 8.6MPa*m1 / 2, an impact strength of 350MPa, a creepage distance ≧1600mm, and a shed diameter Small skirt diameter It has the characteristics of high density, high strength, good toughness and low dispersion.

[0038] Preferably, the porcelain part of the rod-type porcelain insulator body 1 is glued into the connecting steel cap 2, and the inner wall of the connecting steel cap 2 is evenly painted with a layer of asphalt paint to form a buffer layer, which is the glue layer 3;

[0039] Specifically, when gluing, the porcelain piece is placed upright, the connecting steel cap 2 is placed at the lower end of the porcelain piece, the coaxiality of the connecting steel cap 2 and the porcelain piece is controlled, and the porcelain piece is inserted vertically from the top into the connecting steel cap 2 containing an appropriate amount of adhesive layer 3. Vibration is performed while insertion to expel the gas in the porcelain piece, the steel cap and the adhesive layer 3. This step is completed under the guidance of an artificial intelligence big data preparation technology computer.

[0040] Among them, the adhesive layer 3 of the glue binding is made by mixing and stirring quartz sand, cement and water in a percentage of 40% to 60%: 30% to 40%: 10% to 20%, and is completed under the guidance of AI artificial intelligence big data preparation technology computer.

[0041] The weight of each rod-type porcelain insulator is 30.2 kg, which is 38% lighter than the original rod-type porcelain insulator's 48.5 kg, ensuring lightweight.

[0042] When this embodiment is in use, the data collected by the sensor assembly is transmitted in real time to the data collection and storage module. It is then processed and analyzed by the artificial intelligence computing platform to derive optimized production parameters and control instructions. Automated robotic production equipment automatically completes production tasks based on these information instructions, while the monitoring and control system monitors and controls the production process in real time. The entire manufacturing process is guided by computers using AI-powered automated advanced equipment production technology. This utilizes big data to improve production efficiency, optimize resource allocation, and enhance quality control, testing, and analysis of rod-type porcelain insulators, ultimately achieving new levels of reliability through sustainable development.

[0043] The present invention adopts composite structure ceramic manufacturing technology to make the weight of a single rod-type porcelain insulator relatively light, thereby ensuring lightweight.

[0044] Example 2:

[0045] AI artificial intelligence preparation technology for 25KN rod-type porcelain insulators for high-speed railway contact networks. This embodiment makes the following supplements on the basis of Example 1: the coaxiality of the porcelain part of the rod-type porcelain insulator and the connecting steel caps 2 at both ends is <1, and the coaxiality of the porcelain part and the connecting steel cap 2 at one end is <0.5, which is completed under the guidance of AI artificial intelligence big data preparation technology computer.

[0046] The outer surface of the shed of the rod-type porcelain insulator is provided with an ETV liquid high-temperature silicone rubber coating for dust prevention.

[0047] The present invention utilizes industrial alumina powder, short fibers, feldspar, kaolin, zirconia, quartz, cordierite, and black soil as raw materials. Through an AI-powered, big data-automated production line, the entire process, from dosing to firing to finished product, is guided by computer-guided AI production technology. The resulting rod-type porcelain insulators exhibit high density, strength, toughness, and minimal dispersion. They offer a bending load tolerance range of 16 kN to ≥25 kN, a torque load of ≥15 kN·m, and a traction impact force of ≥2.5 tons. ETV liquid high-temperature silicone rubber is used for an automated dustproof coating on the shed surfaces, fully meeting the technical requirements for rod-type porcelain insulators used in high-speed rail contact lines.

[0048] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.

Claims

1. AI artificial intelligence preparation technology for 25KN rod-type porcelain insulators for high-speed railway contact network, using low-expansion, high-performance raw materials, and a production process carried out by AI artificial intelligence big data automation advanced equipment, including a rod-type porcelain insulator body (1) and a metal flange, characterized in that: The production steps of the rod-type porcelain insulator body (1) include selecting ingredients - dosing - ball milling - iron removal - screening - paddle extraction - mud squeezing - mud kneading - high-pressure vacuum - molding - drying - glazing - kiln loading - firing - inspection - polymer coating - inspection - packaging - storage; The metal flange is arranged on the upper end of the porcelain piece on the rod-type porcelain insulator body (1).

2. The AI ​​artificial intelligence preparation technology for 25KN rod-type porcelain insulators for high-speed railway contact network according to claim 1 is characterized in that: The raw materials of the rod-type porcelain insulator body (1) are the following percentage components: 10-15% industrial alumina powder, 13-18% short fiber, 3-5% feldspar, 25-30% kaolin, 1.5-2.0% zirconium oxide, 3-5% quartz, 10-15% cordierite, and 14-16% black soil.

3. The AI ​​artificial intelligence preparation technology for 25KN rod-type porcelain insulators for high-speed railway contact network according to claim 2 is characterized in that: The raw material fineness of the rod-type porcelain insulator body (1) is 300 meshes.

4. The AI ​​artificial intelligence preparation technology for 25KN rod-type porcelain insulators for high-speed railway contact network according to claim 3 is characterized in that: The molding pressure is 80-100 MPa, and the molding time is 15-20 min; The calcination temperature is 1300-1400° C., and the calcination time is 12-18 hours.

5. The AI ​​artificial intelligence preparation technology for 25KN rod-type porcelain insulators for high-speed railway contact network according to claim 4 is characterized in that: The porcelain parts of the rod-type porcelain insulator body (1) are glued into the connecting steel cap (2), and the inner wall of the connecting steel cap (2) is evenly coated with a glue layer (3).

6. The AI ​​artificial intelligence preparation technology for 25KN rod-type porcelain insulators for high-speed railway contact network according to claim 5 is characterized in that: The adhesive layer (3) is made by mixing and stirring quartz sand, cement and water in a ratio of 40% to 60%: 30% to 40%: 10% to 20%.

7. The AI ​​artificial intelligence preparation technology for 25KN rod-type porcelain insulators for high-speed railway contact network according to claim 1 is characterized in that: The AI ​​artificial intelligence big data automation advanced equipment includes sensor components for collecting various parameter data during the production process, data collection and storage modules for robots and information transmission, storage and management of data collected during the production process, artificial intelligence computing platforms for running and analyzing data, automated robot-operated production equipment for automatically completing production tasks according to preset parameters and algorithms, and monitoring and control systems for real-time monitoring and control of the production process.

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