Silo cutting virtual reality cutting method and waste collecting device

Abstract

The invention discloses a virtual reality cutting method for silo cutting, and relates to the technical field of cutting management, and the method comprises the steps: employing the virtual reality technology, and precisely positioning a cutting region in a virtual environment through a point-line marking system; the motion trail and angle of the cutting machine are dynamically adjusted through the real-time feedback and image processing technology; guiding a cutting path by using a high-precision model of a virtual reality interface; cutting waste is guided to the waste collecting area through the conveying belt; an intelligent algorithm is used for monitoring the waste materials in real time; the invention further discloses a virtual reality waste collection device for silo cutting. The virtual reality waste collection device comprises an automatic conveying belt system, a dust suction device, an intelligent recognition system, a waste analysis module and a cloud data sharing platform. According to the method, the benefit and the cost of each decision item are comprehensively considered by minimizing the objective function, the benefit and the cost are balanced when the optimal solution is searched, and a better use prospect is brought.

Description

Technical Field

[0001] The invention relates to the technical field of cutting management, and in particular to a virtual reality cutting method and a waste collection device for silo cutting. Background Art

[0002] In modern manufacturing, the accuracy of the cutting process and the efficient collection of waste are key factors in improving production efficiency and resource utilization. Especially in the silo cutting process, high operation precision is required. At the same time, the demand for waste management and resource recycling is becoming more and more prominent. Traditional cutting methods often face problems such as low cutting accuracy, low waste collection efficiency and inaccurate waste classification. These problems not only affect production efficiency, but may also lead to resource waste and environmental pollution. Therefore, an innovative cutting method is needed to solve these problems, improve cutting accuracy, and optimize the waste collection and recycling process.

[0003] As an advanced technology, virtual reality technology can simulate the cutting process in a virtual environment, provide precise positioning and real-time adjustment functions, and combine virtual reality technology with the dynamic feedback of the actual cutting machine to achieve real-time optimization of cutting paths and operations, ensuring accurate cutting effects. At the same time, the automation system of the waste collection device can effectively guide the waste and clean it up in real time to avoid pollution and waste. The intelligent identification and classified storage of waste further improves the efficiency of waste management and optimizes the reuse of resources. Therefore, the silo cutting method based on virtual reality technology can not only improve the accuracy and efficiency of cutting, but also optimize the collection, classification and reuse of waste, and has important practical application value. Summary of the invention

[0004] In order to solve the above technical problems, a virtual reality cutting method and a waste collection device for silo cutting are provided. This technical solution solves the above problems.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is: A virtual reality cutting method for silo cutting, comprising: S1. Using virtual reality technology, the cutting area is accurately located in the virtual environment through the point and line marking system. The operator can view and adjust the cutting position in real time through the VR device to ensure the precision and accuracy of the cutting; S2. The virtual reality system is connected to the actual cutting machine. Through real-time feedback and image processing technology, the motion trajectory and angle of the cutting machine are dynamically adjusted to ensure that the virtual model is consistent with the actual operation; S3. During the cutting process, the high-precision model of the virtual reality interface is used to guide the cutting path, and the cutting parameters are optimized according to the material thickness, hardness and material factors; S4. The waste collection device includes an automated conveyor belt system and a dust suction device. The cutting waste is guided to the waste collection area through the conveyor belt, and the fine particles and tiny waste are sucked into a dedicated waste storage through the dust suction device; S5. Use intelligent algorithms to monitor waste in real time, automatically evaluate the amount of waste during the cutting process, and adjust the cutting strategy based on data feedback to optimize waste collection and reuse.

[0006] Preferably, through the point and line marking system in the virtual reality device, the operator marks in the virtual model to determine the cutting path and area, and the marked data is converted into control instructions for the cutting machine through sensors, realizing seamless connection from virtual marking to actual cutting process; When the cutting machine is operating, the cutting position and cutting path are monitored in real time, and the cutting machine is fine-tuned through high-precision sensor feedback control. The calculation formula for the required adjustment angle is: ; Where, is the measured path error, is the tool radius of the cutting machine, Adjust the angle as desired.

[0007] Preferably, the waste collection device is linked to the dust collection device through a conveyor belt. When the cutting machine is working, the waste is automatically guided to the waste collection system through the conveyor belt, and the dust collection device cleans the dust and particles in the cutting waste in real time to avoid pollution and waste. The waste collection device is equipped with an intelligent recognition system that can identify the type of waste in real time, classify and store it in different warehouses, ensuring effective waste management and resource recycling.

[0008] Preferably, the cutting machine and the virtual reality system exchange data via wireless communication, and the virtual reality system can automatically adjust the cutting path and strategy according to the actual cutting progress and status; The virtual reality system supports multi-angle real-time view, allowing operators to view the cutting process from different angles and discover and correct cutting deviations.

[0009] Preferably, the waste collection system further includes a waste storage optimization algorithm, which optimizes the waste storage strategy by analyzing the type, amount and state of the waste in real time to ensure efficient storage and subsequent processing of the waste; Among them, the waste storage optimization algorithm formula is: ; In the formula, represents the cost of the decision item, represents the weight associated with the decision item, and represents the The cost of a decision item, Indicates Some measure of a decision item, is the total number of decision items, is the weighting coefficient; The waste collection device has an automatic sorting function, which can automatically identify the recyclability and hazardousness of the waste and intelligently divert it to the corresponding recycling warehouse and processing system.

[0010] Preferably, a dynamic adjustment function is set in the virtual reality interface, and based on the error function, the system calculates whether the cutting machine has deviations and abnormalities, and automatically adjusts the cutting parameters and prompts the operator to make adjustments; The error function calculation formula is: ; In the formula, and is the actual cutting position, and is the expected cutting position, is the error; The virtual reality system uses image processing technology and deep learning algorithms to achieve intelligent monitoring of the cutting process. It can promptly alert operators when abnormalities occur, ensuring the accuracy and safety of the cutting process.

[0011] Preferably, the waste collection device is equipped with a waste analysis module, which performs real-time detection of the physical properties and composition of the cutting waste, analyzes the composition and usage potential of the waste, generates a waste recycling report, and shares data through a cloud platform to optimize waste treatment and recycling.

[0012] Preferably, the collection device for cutting waste adopts a modular design, is easy to disassemble and clean, and can be flexibly adjusted according to different types of waste, ensuring efficient and hygienic waste collection.

[0013] Preferably, a real-time early warning system for waste is added to the virtual reality interface. When the amount of waste approaches a set threshold, the system automatically triggers an alarm and starts a waste collection mechanism to reduce the risk of waste overflow and ensure a clean production environment.

[0014] Reference Figure 2 As shown, a virtual reality waste collection device for silo cutting is used to implement the above-mentioned virtual reality cutting method for silo cutting, comprising: The waste collection device includes an automated conveyor belt system, a dust collection device, an intelligent identification system, a waste analysis module, and a cloud data sharing platform, including: An automated conveyor system is used to direct waste material generated during the cutting process to a waste collection area; The dust suction device is used to clean the dust and particles in the waste in real time and send them to the waste storage through a special dust suction pipe; The intelligent identification system ensures efficient reuse of waste resources by real-time monitoring of waste types and classified storage; The waste analysis module detects the physical properties, composition and use potential of waste in real time, generates waste recycling reports, and shares data through the cloud platform to optimize waste treatment and recycling; The device also has a waste storage optimization algorithm that optimizes storage strategies by analyzing the amount and status of waste in real time, ensuring that the waste can be efficiently stored and subsequently processed.

[0015] Compared with the prior art, the present invention has the following beneficial effects: The present invention proposes to comprehensively consider the benefits and costs of various decision items by minimizing the objective function, which includes both the product of the benefit and weight of each decision item and the weighted cost related to cost and scale. This form is usually used for multi-objective optimization problems to weigh benefits and costs when looking for the optimal solution. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a step flow framework diagram of the present invention; Figure 2 Equipment architecture diagram of a virtual reality waste collection device for silo cutting. DETAILED DESCRIPTION

[0017] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0018] Reference Figure 1 As shown, a virtual reality cutting method and a waste collection device for silo cutting include: S1. Using virtual reality technology, the cutting area is accurately located in the virtual environment through the point and line marking system. The operator can view and adjust the cutting position in real time through the VR device to ensure the precision and accuracy of the cutting; S2. The virtual reality system is connected to the actual cutting machine. Through real-time feedback and image processing technology, the motion trajectory and angle of the cutting machine are dynamically adjusted to ensure that the virtual model is consistent with the actual operation; S3. During the cutting process, the high-precision model of the virtual reality interface is used to guide the cutting path, and the cutting parameters are optimized according to the material thickness, hardness and material factors; S4. The waste collection device includes an automated conveyor belt system and a dust suction device. The cutting waste is guided to the waste collection area through the conveyor belt, and the fine particles and tiny waste are sucked into a dedicated waste storage through the dust suction device; S5. Use intelligent algorithms to monitor waste in real time, automatically evaluate the amount of waste during the cutting process, and adjust the cutting strategy based on data feedback to optimize waste collection and reuse.

[0019] Through the point and line marking system in the virtual reality device, the operator marks in the virtual model to determine the cutting path and area. The marked data is converted into control instructions for the cutting machine through sensors, achieving seamless connection from virtual marking to actual cutting process. When the cutting machine is operating, the cutting position and cutting path are monitored in real time, and the cutting machine is fine-tuned through high-precision sensor feedback control. The calculation formula for the required adjustment angle is: ; In the formula, is the measured path error, is the tool radius of the cutting machine, Adjust the angle as required; Through the guidance of virtual reality technology and high-precision models, operators can accurately locate the cutting area and path, and adjust the cutting position in real time to ensure high-precision and high-efficiency cutting.

[0020] The waste collection device is linked to the dust collection device through a conveyor belt. When the cutting machine is working, the waste is automatically guided to the waste collection system through the conveyor belt. The dust collection device cleans the dust and particles in the cutting waste in real time to avoid pollution and waste. The waste collection device is equipped with an intelligent recognition system that can identify the type of waste in real time, classify and store it in different warehouses, ensuring effective waste management and resource recycling.

[0021] The cutting machine and the virtual reality system exchange data through wireless communication. The virtual reality system can automatically adjust the cutting path and strategy according to the actual cutting progress and status; The virtual reality system supports multi-angle real-time view, allowing operators to view the cutting process from different angles and discover and correct cutting deviations.

[0022] The waste collection system further includes a waste storage optimization algorithm, which optimizes the waste storage strategy by analyzing the type, amount and state of the waste in real time to ensure efficient storage and subsequent processing of the waste; Among them, the waste storage optimization algorithm formula is: ; In the formula, Indicates The cost of a decision item, Indicates The weights associated with each decision item, Indicates The cost of a decision item, Indicates Some measure of a decision item, is the total number of decision items, is the weighting coefficient; The waste collection device has an automatic sorting function, which can automatically identify the recyclability and hazardousness of the waste and intelligently divert it to the corresponding recycling warehouse and processing system.

[0023] A dynamic adjustment function is set up in the virtual reality interface. Based on the error function, the system calculates whether the cutting machine has deviations and abnormalities. The system automatically adjusts the cutting parameters and prompts the operator to make adjustments. The error function calculation formula is: ; In the formula, and is the actual cutting position, and is the expected cutting position, is the error; The virtual reality system uses image processing technology and deep learning algorithms to achieve intelligent monitoring of the cutting process, and can promptly alert operators when abnormalities occur, ensuring the accuracy and safety of the cutting process; The virtual reality system is connected to the actual cutting machine. Through real-time feedback and image processing technology, it can dynamically adjust the movement trajectory and angle of the cutting machine to ensure that the virtual model is consistent with the actual operation and avoid cutting deviations caused by errors.

[0024] The waste collection device is equipped with a waste analysis module, which conducts real-time detection of the physical properties and composition of the cutting waste, analyzes the composition and usage potential of the waste, generates a waste recycling report, and shares data through a cloud platform to optimize waste treatment and recycling.

[0025] The collection device for cutting waste adopts a modular design, which is easy to disassemble and clean. It can be flexibly adjusted according to different types of waste to ensure efficient and hygienic waste collection.

[0026] A real-time waste warning system is added to the virtual reality interface. When the waste amount approaches the set threshold, the system automatically triggers an alarm and starts the waste collection mechanism to reduce the risk of waste overflow and ensure a clean production environment.

[0027] Reference Figure 2 As shown, a virtual reality waste collection device for silo cutting is used to implement the above-mentioned virtual reality cutting method for silo cutting, comprising: The waste collection device includes an automated conveyor belt system, a dust collection device, an intelligent identification system, a waste analysis module, and a cloud data sharing platform, including: An automated conveyor system is used to direct waste material generated during the cutting process to a waste collection area; The dust suction device is used to clean the dust and particles in the waste in real time and send them to the waste storage through a special dust suction pipe; The intelligent identification system ensures efficient reuse of waste resources by real-time monitoring of waste types and classified storage; The waste analysis module detects the physical properties, composition and use potential of waste in real time, generates waste recycling reports, and shares data through the cloud platform to optimize waste treatment and recycling; The device also has a waste storage optimization algorithm that optimizes storage strategies by analyzing the amount and status of waste in real time to ensure efficient storage and subsequent processing of waste; The automated conveyor belt and dust collection device of the waste collection device can clean fine particles and dust in real time, reducing environmental pollution. The intelligent recognition system can identify the type of waste and classify it for storage, ensuring efficient waste management and resource recycling.

[0028] The use process of the present invention is: Step 1: The operator starts the virtual reality system and wears the VR device to prepare for the cutting task; Step 2: Use the point and line marking system to build a cutting model in the virtual reality environment and mark the cutting area; Step 3: The operator uses VR equipment to view and adjust the precise position of the cutting area in real time; Step 4: The virtual reality system is connected to the actual cutting machine through wireless communication and is ready to exchange data; Step 5: Through the virtual reality interface, the high-precision model guides the cutting path and optimizes the cutting parameters according to the material properties; Step 6: The operator confirms the cutting path based on the virtual model and starts the cutting machine; Step 7: During the operation of the cutting machine, the image processing technology is used to provide real-time feedback and adjust the motion trajectory and angle; Step 8: Use sensors and a virtual reality interface to monitor the position and path of the cutting machine in real time; Step 9: According to the sensor feedback, adjust the motion trajectory and angle of the cutting machine to ensure consistency with the virtual model; Step 10: The waste collection device begins to guide the waste to the collection area through an automated conveyor system; Step 11: Start the dust collection device to clean up the dust and particles in the cutting process in real time to avoid pollution; Step 12: Monitor the amount of waste through intelligent algorithms and automatically optimize the cutting strategy based on feedback; Step 13: The intelligent identification system monitors the type of waste in real time, automatically classifies and stores it in different warehouses; Step 14: The virtual reality system adjusts the cutting path and strategy according to the amount and type of waste to reduce waste generation; Step 15: The waste collection device is equipped with a real-time early warning system. When the amount of waste approaches the set threshold, an alarm is triggered and waste collection is started; Step 16: The waste analysis module detects the physical characteristics of the waste, generates a waste recycling report, and shares the data through the cloud platform; Step 17: The waste storage optimization algorithm analyzes the waste status and automatically adjusts the storage strategy to ensure efficient storage and subsequent processing of the waste.

[0029] Step 18: After the cutting task is completed, the operator checks the waste collection system to ensure that the waste collection device is clean and ready for the next task.

[0030] In summary, the advantages of the present invention are: Through virtual reality technology and the guidance of high-precision models, operators can accurately locate the cutting area and path, and adjust the cutting position in real time to ensure high cutting precision and efficiency; The virtual reality system is connected to the actual cutting machine. Through real-time feedback and image processing technology, it can dynamically adjust the motion trajectory and angle of the cutting machine to ensure that the virtual model is consistent with the actual operation and avoid cutting deviations caused by errors. The automated conveyor belt and dust collection device of the waste collection device can clean fine particles and dust in real time, reducing environmental pollution. The intelligent identification system can identify the type of waste and classify and store it, ensuring efficient waste management and resource reuse. Intelligent algorithms can monitor waste generation in real time, automatically assess waste volume, and adjust cutting strategies based on feedback data to optimize waste collection and reuse; The waste storage optimization algorithm optimizes the waste storage strategy based on real-time analysis of the type, quantity and status of waste, ensuring that the waste can be stored efficiently and prepared for subsequent processing. The system is also equipped with intelligent sorting functions to divert waste to different warehouses and processing systems according to its recyclability and hazardousness, thereby improving the efficiency of waste management; The virtual reality system can intelligently monitor the cutting process through image processing technology and deep learning algorithms, detect deviations and anomalies in cutting in a timely manner, and remind the operator to make adjustments to ensure the accuracy and safety of the cutting process; The waste analysis module can detect the physical characteristics and composition of waste in real time, generate waste recycling reports, and share data through the cloud platform to optimize the treatment and recycling of waste and contribute to the sustainable development of resources; The waste collection device adopts a modular design, which is easy to disassemble and clean. It can be flexibly adjusted according to the type of waste, ensuring efficient and hygienic waste collection and reducing the risk of waste overflow.

[0031] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A virtual reality cutting method for silo cutting, characterized in that: include: S1. Using virtual reality technology, the cutting area is accurately located in the virtual environment through the point and line marking system. The operator can view and adjust the cutting position in real time through the VR device to ensure the precision and accuracy of the cutting; S2. The virtual reality system is connected to the actual cutting machine. Through real-time feedback and image processing technology, the motion trajectory and angle of the cutting machine are dynamically adjusted to ensure that the virtual model is consistent with the actual operation; S3. During the cutting process, the high-precision model of the virtual reality interface is used to guide the cutting path, and the cutting parameters are optimized according to the material thickness, hardness and material factors; S4. The waste collection device includes an automated conveyor belt system and a dust suction device. The cutting waste is guided to the waste collection area through the conveyor belt, and the fine particles and tiny waste are sucked into a dedicated waste storage through the dust suction device; S5. Use intelligent algorithms to monitor waste in real time, automatically evaluate the amount of waste during the cutting process, and adjust the cutting strategy based on data feedback to optimize waste collection and reuse.

2. A virtual reality cutting method for silo cutting according to claim 1, characterized in that: Through the point and line marking system in the virtual reality device, the operator marks in the virtual model to determine the cutting path and area. The marked data is converted into control instructions for the cutting machine through sensors, achieving seamless connection from virtual marking to actual cutting process. When the cutting machine is operating, the cutting position and cutting path are monitored in real time, and the cutting machine is fine-tuned through high-precision sensor feedback control. The calculation formula for the required adjustment angle is: ； In the formula, is the measured path error, is the tool radius of the cutting machine, Adjust the angle as desired.

3. A virtual reality cutting method for silo cutting according to claim 2, characterized in that: The waste collection device is linked to the dust collection device through a conveyor belt. When the cutting machine is working, the waste is automatically guided to the waste collection system through the conveyor belt. The dust collection device cleans the dust and particles in the cutting waste in real time to avoid pollution and waste. The waste collection device is equipped with an intelligent recognition system that can identify the type of waste in real time, classify and store it in different warehouses, ensuring effective waste management and resource recycling.

4. A virtual reality cutting method for silo cutting according to claim 3, characterized in that: The cutting machine and the virtual reality system exchange data through wireless communication. The virtual reality system can automatically adjust the cutting path and strategy according to the actual cutting progress and status; The virtual reality system supports multi-angle real-time view, allowing operators to view the cutting process from different angles and discover and correct cutting deviations.

5. A virtual reality cutting method for silo cutting according to claim 4, characterized in that: The waste collection system further includes a waste storage optimization algorithm, which optimizes the waste storage strategy by analyzing the type, amount and state of the waste in real time to ensure efficient storage and subsequent processing of the waste; Among them, the waste storage optimization algorithm formula is: ； In the formula, Indicates The cost of a decision item, Indicates The weights associated with each decision item, Indicates The cost of a decision item, represents some measure of the decision item, is the total number of decision items, is the weighting coefficient; The waste collection device has an automatic sorting function, which can automatically identify the recyclability and hazardousness of the waste and intelligently divert it to the corresponding recycling warehouse and processing system.

6. A virtual reality cutting method for silo cutting according to claim 5, characterized in that: A dynamic adjustment function is set up in the virtual reality interface. Based on the error function, the system calculates whether the cutting machine has deviations and abnormalities. The system automatically adjusts the cutting parameters and prompts the operator to make adjustments. The error function calculation formula is: ； In the formula, and is the actual cutting position, and is the expected cutting position, is the error; The virtual reality system uses image processing technology and deep learning algorithms to achieve intelligent monitoring of the cutting process. It can promptly alert operators when abnormalities occur, ensuring the accuracy and safety of the cutting process.

7. A virtual reality cutting method for silo cutting according to claim 6, characterized in that: The waste collection device is equipped with a waste analysis module, which conducts real-time detection of the physical properties and composition of the cutting waste, analyzes the composition and usage potential of the waste, generates a waste recycling report, and shares data through a cloud platform to optimize waste treatment and recycling.

8. A virtual reality cutting method for silo cutting according to claim 7, characterized in that: The collection device for cutting waste adopts a modular design, which is easy to disassemble and clean. It can be flexibly adjusted according to different types of waste to ensure efficient and hygienic waste collection.

9. A virtual reality cutting method for silo cutting according to claim 8, characterized in that: A real-time waste warning system is added to the virtual reality interface. When the waste amount approaches the set threshold, the system automatically triggers an alarm and starts the waste collection mechanism to reduce the risk of waste overflow and ensure a clean production environment.

10. A virtual reality waste collection device for silo cutting, characterized in that, A virtual reality cutting method for realizing silo cutting as claimed in any one of claims 1 to 9, comprising: The waste collection device includes an automated conveyor belt system, a dust collection device, an intelligent identification system, a waste analysis module, and a cloud data sharing platform, including: An automated conveyor system is used to direct waste material generated during the cutting process to a waste collection area; The dust suction device is used to clean the dust and particles in the waste in real time and send them to the waste storage through a special dust suction pipe; The intelligent identification system ensures efficient reuse of waste resources by real-time monitoring of waste types and classified storage; The waste analysis module detects the physical properties, composition and use potential of waste in real time, generates waste recycling reports, and shares data through the cloud platform to optimize waste treatment and recycling; The device also has a waste storage optimization algorithm that optimizes storage strategies by analyzing the amount and status of waste in real time, ensuring that the waste can be efficiently stored and subsequently processed.

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