A virtual reality silo cutting method and waste collection device

Abstract

The application discloses a kind of virtual reality of silo cutting, it is related to cutting management technical field, comprising: using virtual reality technology, through point line marking system in virtual environment accurately positioning cutting area;Through real-time feedback and image processing technology, dynamically adjust the motion trajectory and angle of cutting machine;Using the high-precision model of virtual reality interface guides cutting path;Cutting waste is guided to waste collection area by conveyor belt;Real-time monitoring of waste is carried out using intelligent algorithm;The application also discloses a kind of virtual reality of silo cutting waste collection device, comprising: automatic conveying belt system, dust extraction device, intelligent identification system, waste analysis module and cloud data sharing platform.The application proposes to minimize objective function, comprehensively considers the benefit and cost of each decision item, and balances the benefit and cost when finding the optimal solution, which brings better use prospect.

Description

TECHNICAL FIELD

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

[0002] In modern manufacturing, the precision 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, the precision of the operation is high, and the demand for waste management and resource recycling is also increasingly prominent. The traditional cutting method often faces problems such as low cutting precision, low waste collection efficiency, and inaccurate waste classification, which not only affects production efficiency, but also may cause resource waste and environmental pollution. Therefore, an innovative cutting method is needed to solve these problems, improve cutting precision, and optimize the waste collection and recycling process.

[0003] Virtual reality technology, as an advanced technology, can simulate the cutting process in a virtual environment, providing precise positioning and real-time adjustment functions. Combined with virtual reality technology and dynamic feedback from actual cutting machines, real-time optimization of cutting paths and operations can be achieved to ensure accurate cutting results. At the same time, the automation system of the waste collection device can effectively guide and clean waste in real time to avoid pollution and waste. Intelligent identification and classification storage of waste further improve the efficiency of waste management and optimize resource recycling. Therefore, the silo cutting method based on virtual reality technology not only improves the precision and efficiency of cutting, but also optimizes the collection, classification, and recycling of waste, and has important practical application value. SUMMARY

[0004] To solve the above technical problems, a virtual reality cutting method for silo cutting and a waste collection device are provided, which solve the above problems.

[0005] To achieve the above purposes, the technical solution adopted by the present application is:

[0006] A virtual reality cutting method for silo cutting, comprising:

[0007] S1, using virtual reality technology, precisely positioning the cutting area in the virtual environment through a point-line marking system, and the operator real-time views and adjusts the cutting position through the VR device to ensure the precision and accuracy of the cutting;

[0008] S2, the virtual reality system is connected with the actual cutting machine, and through real-time feedback and image processing technology, the motion trajectory and angle of the cutting machine are dynamically adjusted to ensure consistency between the virtual model and the actual operation;

[0009] 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 factors of material thickness, hardness, and material quality.

[0010] S4. The waste collection device includes an automated conveyor belt system and a dust collection device. The cutting waste is guided to the waste collection area by the conveyor belt, and the dust collection device is used to suck the fine particles and tiny waste into a special waste storage.

[0011] S5. Real-time monitoring of waste is performed using intelligent algorithms, automatic evaluation of waste during the cutting process, and adjustment of cutting strategies based on data feedback to optimize waste collection and reuse.

[0012] Preferably, through the point-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, realizing seamless connection from virtual marking to actual cutting process.

[0013] When the cutting machine performs the operation, the cutting position and cutting path are monitored in real time, and the cutting machine is adjusted through high-precision sensor feedback. The required adjustment angle calculation formula is:

[0014] ;

[0015] In the formula, is the measured path error, is the tool radius of the cutting machine, is the required adjustment angle.

[0016] Preferably, the waste collection device operates in conjunction with the conveyor belt and dust collection device. When the cutting machine is working, the waste is automatically guided to the waste collection system by the conveyor belt, and the dust collection device cleans the fine dust and particulate matter in the cutting waste in real time, avoiding pollution and waste.

[0017] The waste collection device is equipped with an intelligent identification system that can identify the type of waste in real time, classify and store it in different warehouses, ensuring effective management and resource reuse of waste.

[0018] Preferably, 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 state.

[0019] The virtual reality system supports multi-angle real-time view, allowing the operator to view the cutting process from different angles and correct cutting deviations.

[0020] Preferably, the waste collection system further includes a waste storage optimization algorithm that optimizes waste storage strategies by analyzing the type, quantity, and state of waste in real time, ensuring efficient storage and subsequent processing of waste.

[0021] wherein the waste storage optimization algorithm formula is:

[0022]

[0023] wherein, represents the cost of the th decision item, represents the weight related to the th decision item, represents the cost of the th decision item, represents a certain measure of the th decision item, is the total number of decision items, is the weighting coefficient;

[0024] The waste collection device has an automatic sorting function, which automatically identifies the recyclability and danger of waste and intelligently separates it into corresponding recycling warehouses and processing systems.

[0025] Preferably, a dynamic adjustment function is set in the virtual reality interface, and whether the cutting machine deviates and is abnormal is calculated based on an error function, and the system automatically adjusts the cutting parameters and prompts the operator to adjust;

[0026] wherein the error function calculation formula is:

[0027]

[0028] wherein, and are the actual cutting positions, and are the expected cutting positions, is the error;

[0029] The virtual reality system realizes intelligent monitoring of the cutting process through image processing technology and deep learning algorithm, and can remind the operator in time when an abnormality occurs, ensuring the precision and safety of the cutting process.

[0030] Preferably, the waste collection device is equipped with a waste analysis module, which detects the physical properties and composition of the cutting waste in real time, analyzes the composition and use potential of the waste, generates a waste recycling report, and shares data through a cloud platform, optimizing waste treatment and recycling.

[0031] Preferably, the collection device for cutting waste adopts modular design, which is easy to disassemble and clean, and can be flexibly adjusted according to different types of waste, ensuring efficient and sanitary waste collection work.

[0032] ​​Preferably, a real-time waste warning system is added in the virtual reality interface. When the amount of waste approaches the set threshold, the system automatically triggers an alarm and starts the waste collection mechanism, reducing the risk of waste overflow and ensuring the cleanliness of the production environment.

[0033] Referring to Figure 2 The silo cutting virtual reality waste collection device is characterized in that it implements the silo cutting virtual reality cutting method described above, comprising:

[0034] 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, wherein:

[0035] The automated conveyor belt system is used to guide the waste generated during the cutting process to the waste collection area;

[0036] The dust collection device is used to clean the dust and particulate matter in the waste in real time and send it to the waste storage through a dedicated dust collection pipeline;

[0037] The intelligent identification system monitors the type of waste in real time and classifies and stores it, ensuring efficient reuse of waste resources;

[0038] The waste analysis module detects the physical properties, composition, and potential use of the waste in real time, generates a waste recycling report, and shares data through the cloud platform to optimize waste treatment and recycling;

[0039] The device also has a waste storage optimization algorithm that analyzes the amount and state of the waste in real time to optimize storage strategies and ensure efficient storage and subsequent processing of the waste.

[0040] Compared with the prior art, the present application has the following advantages:

[0041] The present application minimizes the objective function by considering the benefits and costs of each decision item, including the product of the benefit and weight of each decision item, as well as the weighted cost related to the cost and scale. This form is commonly used in multi-objective optimization problems, and the benefits and costs are balanced when finding the optimal solution. BRIEF DESCRIPTION OF DRAWINGS

[0042] Figure 1 The step flow framework diagram of the present application;

[0043] Figure 2 The device framework diagram of the silo cutting virtual reality waste collection device. DETAILED DESCRIPTION

[0044] The following description is used to disclose the present application to enable a person skilled in the art to implement the present application. The preferred embodiments in the following description are only as examples, and other obvious modifications can be conceived by those skilled in the art.

[0045] Referring to Figure 1 As shown in the figure, a silo cutting virtual reality cutting method and waste collection device, comprising

[0046] S1, using virtual reality technology, accurately positioning the cutting area in the virtual environment through the point-line marking system, and the operator can real-time view and adjust the cutting position through the VR device, to ensure the accuracy and accuracy of the cutting;

[0047] S2, the virtual reality system is connected with the actual cutting machine, and 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;

[0048] S3, in the cutting process, the cutting path is guided by the high-precision model of the virtual reality interface, and the cutting parameters are optimized according to the factors of material thickness, hardness and material quality;

[0049] S4, the waste collection device includes an automatic conveyor belt system and a dust collection 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 the special waste warehouse through the dust collection device;

[0050] S5, using intelligent algorithm to monitor the waste in real time, automatically evaluating the waste amount in the cutting process, and adjusting the cutting strategy according to the data feedback to optimize the collection and reuse of waste.

[0051] Through the point-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 of the cutting machine through sensors, realizing seamless connection from virtual marking to actual cutting process;

[0052] When the cutting machine performs operation, the cutting position and cutting path are monitored in real time, and the cutting machine is fine-tuned through high-precision sensor feedback, and the calculation formula of the required adjustment angle is:

[0053] ;

[0054] In the formula, is the measured path error, is the tool radius of the cutting machine, is the required adjustment angle;

[0055] Through the guidance of virtual reality technology and high-precision model, the operator can accurately position the cutting area and path, and real-time adjust the cutting position, to ensure the high precision and high efficiency of the cutting.

[0056] The waste collection device is connected with 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 particulate matter in the cutting waste in real time, avoiding pollution and waste.

[0057] 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 management and resource reuse of waste.

[0058] 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 based on the actual cutting progress and state.

[0059] The virtual reality system supports multi-angle real-time view, allowing operators to view the cutting process from different angles and correct cutting deviations.

[0060] The waste collection system further includes a waste storage optimization algorithm that optimizes waste storage strategies by analyzing the type, quantity and state of waste in real time, ensuring efficient storage and subsequent processing of waste.

[0061] The waste storage optimization algorithm formula is:

[0062] ;

[0063] In the formula, represents the cost of the th decision item, represents the weight related to the th decision item, represents the cost of the th decision item, represents a certain measure of the th decision item, is the total number of decision items, is the weighting coefficient.

[0064] The waste collection device has an automatic sorting function that automatically identifies the recyclability and danger of waste and intelligently sorts it into corresponding recycling warehouses and processing systems.

[0065] A dynamic adjustment function is set in the virtual reality interface. Based on the error function, the system automatically adjusts the cutting parameters and prompts the operator to make adjustments if the cutting machine deviates or abnormally.

[0066] The error function calculation formula is:

[0067] ;

[0068] In the formula, and actual cutting position, and expected cutting position, error;

[0069] The virtual reality system realizes intelligent monitoring of the cutting process through image processing technology and deep learning algorithms, and can timely remind the operator when an abnormality occurs, ensuring the precision and safety of the cutting process;

[0070] The virtual reality system is connected with the actual cutting machine, and through real-time feedback and image processing technology, it can dynamically adjust the motion trajectory and angle of the cutting machine, ensuring that the virtual model is consistent with the actual operation, and avoiding cutting deviation caused by errors.

[0071] The waste collection device is equipped with a waste analysis module, which detects the physical properties and composition of the cutting waste in real time, analyzes the composition and potential use of the waste, generates a waste recycling report, and shares data through a cloud platform to optimize waste treatment and recycling.

[0072] The waste collection device adopts modular design, easy to disassemble and clean, can be flexibly adjusted according to different types of waste, to ensure efficient and sanitary waste collection.

[0073] In the virtual reality interface, a real-time waste warning system is added. When the amount of waste approaches the set threshold, the system automatically triggers an alarm and starts the waste collection mechanism, reducing the risk of waste overflow and ensuring a clean production environment.

[0074] Referring to Figure 2 A virtual reality waste collection device for silo cutting, characterized by a cutting method for silo cutting in virtual reality, comprising:

[0075] 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, wherein:

[0076] The automated conveyor belt system is used to guide the waste generated during the cutting process to the waste collection area;

[0077] The dust collection device is used to clean the dust and particulate matter in the waste in real time, and sends it to the waste storage through a dedicated dust collection pipeline;

[0078] The intelligent identification system monitors the type of waste in real time and classifies and stores it, ensuring efficient reuse of waste resources;

[0079] The waste analysis module detects the physical properties, composition and potential use of the waste in real time, generates a waste recycling report, and shares data through a cloud platform to optimize waste treatment and recycling;

[0080] The device also has a waste storage optimization algorithm that optimizes storage strategies by analyzing the amount and state of waste in real time, ensuring efficient storage and subsequent processing of waste;

[0081] The automated conveyor belt and dust collection device of the waste collection device can clean fine particles and dust in real time, reduce environmental pollution, and the intelligent recognition system can identify the type of waste and store it classified, ensuring efficient management and resource reuse of waste.

[0082] The use process of the present application is:

[0083] Step one: the operator starts the virtual reality system and wears the VR device to prepare for the cutting task;

[0084] Step two: establish a cutting model in the virtual reality environment and mark the cutting area through the point-line marking system;

[0085] Step three: the operator adjusts the precise position of the cutting area in real time through the VR device;

[0086] Step four: the virtual reality system is connected to the actual cutting machine through wireless communication, preparing for data exchange;

[0087] Step five: through the virtual reality interface, the high-precision model guides the cutting path and optimizes the cutting parameters according to the material properties;

[0088] Step six: the operator confirms the cutting path according to the virtual model and starts the cutting machine;

[0089] Step seven: during the operation of the cutting machine, the motion trajectory and angle are adjusted in real time through image processing technology;

[0090] Step eight: use sensors and virtual reality interfaces to monitor the position and path of the cutting machine in real time;

[0091] Step nine: adjust the motion trajectory and angle of the cutting machine according to the sensor feedback to ensure consistency with the virtual model;

[0092] Step ten: the waste collection device starts to guide the waste to the collection area through the automated conveyor belt system;

[0093] Step eleven: the dust collection device is started to clean fine dust and particulate matter in real time during the cutting process to avoid pollution;

[0094] Step twelve: Monitor the amount of waste through intelligent algorithms and automatically optimize the cutting strategy based on feedback;

[0095] Step thirteen: The intelligent recognition system monitors the type of waste in real time, automatically classifies and stores it in different warehouses;

[0096] Step fourteen: The virtual reality system adjusts the cutting path and strategy according to the amount and type of waste, reducing waste generation;

[0097] Step fifteen: The waste collection device is equipped with a real-time warning system, which triggers an alarm and starts waste collection when the amount of waste approaches the set threshold;

[0098] Step sixteen: The waste analysis module detects the physical properties of the waste and generates a waste recycling report, sharing data through the cloud platform;

[0099] Step seventeen: The waste storage optimization algorithm analyzes the state of the waste and automatically adjusts the storage strategy to ensure efficient storage and subsequent processing of the waste.

[0100] Step eighteen: After completing the cutting task, the operator checks the waste collection system to ensure that the waste collection device is clean and ready for the next task.

[0101] In summary, the advantages of the present application are:

[0102] Through the guidance of virtual reality technology and high-precision models, the operator can accurately position the cutting area and path, adjust the cutting position in real time, and ensure high precision and efficiency of cutting;

[0103] The virtual reality system is connected to the actual cutting machine, which can dynamically adjust the motion trajectory and angle of the cutting machine through real-time feedback and image processing technology, ensuring that the virtual model is consistent with the actual operation, and avoiding cutting deviation caused by errors;

[0104] The automatic conveyor belt and dust collection device of the waste collection device can clean fine particles and dust in real time, reduce environmental pollution, and the intelligent recognition system can identify the type of waste and store it for classification, ensuring efficient management and resource reuse of waste;

[0105] The intelligent algorithm can monitor the generation of waste in real time, automatically assess the amount of waste, and adjust the cutting strategy based on feedback data, thereby optimizing the collection and reuse of waste;

[0106] The waste storage optimization algorithm is based on real-time analysis of the type, amount and state of the waste, optimizing the waste storage strategy to ensure efficient storage and preparation for subsequent processing. The system also has an intelligent sorting function that can divert waste to different warehouses and processing systems based on its recyclability and danger, improving the efficiency of waste management;

[0107] The virtual reality system can intelligently monitor the cutting process through image processing technology and deep learning algorithms, timely detect deviations and abnormalities in cutting, and remind the operator to make adjustments, ensuring the precision and safety of the cutting process;

[0108] The waste analysis module can detect the physical properties and composition of waste in real time, generate a waste recycling report, and share data through a cloud platform, optimizing waste treatment and recycling, and contributing to the sustainable development of resources;

[0109] The waste collection device adopts a modular design, is easy to disassemble and clean, and can be flexibly adjusted according to the type of waste, ensuring efficient and sanitary waste collection work and reducing the risk of waste overflow.

[0110] The above shows and describes the basic principles, main features and advantages of the present application. Those skilled in the art should understand that the present application is not limited to the above examples, and the above examples and descriptions in the specification are only the principles of the present application. Without departing from the spirit and scope of the present application, various changes and improvements can be made to the present application, and these changes and improvements fall within the scope of the claimed present application. The scope of protection required by the present application is defined by the appended claims and their equivalents.

Claims

1. A silo cutting virtual reality cutting method, characterized by, Comprise: S1, adopt virtual reality technology, through point line marking system in virtual environment accurate positioning cutting area, operator through VR equipment real-time view and adjust cutting position, ensure the accuracy and accuracy of cutting; S2, virtual reality system and actual cutting machine connection, through real-time feedback and image processing technology, dynamic adjustment of cutting machine motion trajectory and angle, ensure virtual model and actual operation consistent; S3, in the cutting process, using virtual reality interface high precision model guide cutting path, and according to the thickness, hardness and material factors of material optimization cutting parameters; S4, waste collection device includes automatic conveying belt system and dust extraction device, cutting waste through conveying belt guide to waste collection area, and through dust extraction device will fine particles and tiny waste suction to special waste storage; S5, using intelligent algorithm for real-time monitoring of waste, automatic evaluation of waste in cutting process, and according to data feedback adjustment cutting strategy, optimize the collection and reuse of waste.

2. The virtual reality cutting method for silo cutting according to claim 1, wherein: through the point 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 of the cutting machine through the sensor to realize seamless connection from virtual marking to actual cutting process; when the cutting machine performs operation, the cutting position and cutting path are monitored in real time, and the cutting machine is adjusted through high-precision sensor feedback control, and the calculation formula of the required adjustment angle is: ； wherein is the measured path error, is the tool radius of the cutting machine, is the required adjustment angle.

3. The virtual reality cutting method for silo cutting according to claim 2, wherein: the waste collection device operates in linkage with the conveying belt and the dust extraction device, when the cutting machine works, the waste is automatically guided to the waste collection system through the conveying belt, and the dust extraction device cleans the dust and particulate matter in the cutting waste in real time to avoid pollution and waste; the waste collection device is equipped with an intelligent identification system, which can identify the type of waste in real time, classify and store in different warehouses to ensure effective management and resource reuse of waste.

4. The virtual reality cutting method for silo cutting according to claim 3, wherein: the cutting machine and the virtual reality system exchange data through wireless communication, and the virtual reality system can automatically adjust the cutting path and strategy according to the actual cutting progress and state; the virtual reality system supports multi-angle real-time view, allowing the operator to view the cutting process from different angles and correct cutting deviation.

5. A silo-cut virtual reality cutting method of claim 4, wherein: dynamic adjustment function is set in the virtual reality interface, whether deviation and abnormality occur in the cutting machine is calculated based on error function, the system automatically adjusts the cutting parameters and prompts the operator to adjust; wherein, the error function calculation formula is: ； wherein and is the actual cutting position, and is the expected cutting position, is the error; the virtual reality system realizes intelligent monitoring of the cutting process through image processing technology and deep learning algorithm, which can remind the operator in time when abnormality occurs, to ensure the accuracy and safety of the cutting process.

6. A silo-cut virtual reality cutting method of claim 5, wherein: The waste collection device is equipped with a waste analysis module that detects the physical properties and composition of the cutting waste in real time, analyzes the composition and potential use of the waste, generates a waste recycling report, and shares data through a cloud platform to optimize waste treatment and recycling.

7. A silo-cut virtual reality cutting method of claim 6, wherein: The cutting waste collection device adopts a modular design, easy to disassemble and clean, and can be flexibly adjusted according to different types of waste to ensure efficient and sanitary waste collection.

8. A silo-cut virtual reality cutting method of claim 7, wherein: A real-time waste warning system is added to the virtual reality interface. When the amount of waste 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.

9. A silo-cut virtual reality waste collection apparatus, characterized by, A cutting method for implementing a virtual reality cutting of a silo, as claimed in any of claims 1-8, 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, wherein: The automated conveyor belt system is used to guide the waste generated during the cutting process to the waste collection area; The dust collection device is used to clean the dust and particulate matter in the waste in real time and send it to the waste storage through a dedicated dust collection pipeline; The intelligent identification system monitors the type of waste in real time and classifies and stores it to ensure efficient reuse of waste resources; The waste analysis module detects the physical properties, composition, and potential use of the waste in real time, generates a waste recycling report, and shares data through a cloud platform to optimize waste treatment and recycling; The device optimizes storage strategies by analyzing the amount and state of the waste in real time to ensure efficient storage and subsequent processing of the waste.

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