An energy-saving control method and device based on a laser cutting device

Abstract

The present invention relates to the technical field of energy-saving control of equipment, and discloses an energy-saving control method and device based on a laser cutting device. The method includes obtaining target cutting data and analyzing it to obtain a first cutting mode and a second cutting mode; allocating theoretical energy for each module of the device according to the first cutting mode; allocating corrected energy for each module of the device according to the second cutting mode; calculating the total energy consumption according to the theoretical energy and the corrected energy; calculating the operating duration according to the total energy consumption; analyzing the total energy consumption input into an energy distribution model to obtain the actual energy consumption; and allocating according to the actual energy consumption and the operating duration to obtain the energy-saving allocation strategy for each module and perform the cutting of the workpiece. This method can solve the problem in the prior art that fine energy allocation and adjustment cannot be carried out according to specific cutting requirements, resulting in unnecessary energy waste.

Description

Technical Field

[0001] The present invention relates to the technical field of energy-saving control of equipment, and particularly to an energy-saving control method and device based on a laser cutting device. Background Art

[0002] At present, laser cutting devices are widely used in metal processing, automobile manufacturing, aerospace, electronic products and many other industries due to their high precision, high efficiency and flexibility. With the acceleration of the industrialization process, the requirements for production efficiency and cost control are increasing day by day. In order to achieve energy-saving control of laser cutting devices, multiple factors need to be considered, including working efficiency, energy efficiency and cutting quality. Through energy-saving control, energy consumption can be reduced, working efficiency can be improved, and high-quality cutting results can be ensured.

[0003] In an existing technology, the total input energy is often directly distributed to each module, and fixed power and time parameters are selected for laser cutting operations according to a preset cutting mode.

[0004] The influence of different cutting modes on energy efficiency is not fully considered in the existing technology, and fine energy distribution and adjustment cannot be carried out according to specific cutting requirements, resulting in unnecessary energy waste. Summary of the Invention

[0005] The present invention provides an energy-saving control method and device based on a laser cutting device to solve the problem that the influence of different cutting modes on energy efficiency is not fully considered in the existing technology, and fine energy distribution and adjustment cannot be carried out according to specific cutting requirements, resulting in unnecessary energy waste.

[0006] In a first aspect, to solve the above technical problem, the present invention provides an energy-saving control method based on a laser cutting device, including:

[0007] Obtain target cutting data;

[0008] Analyze the target cutting data to obtain a first cutting mode and a second cutting mode;

[0009] Allocate energy to each cutting power allocation module of the laser cutting device according to the first cutting mode to obtain theoretical energy;

[0010] Allocate energy to each cutting power allocation module of the laser cutting device according to the second cutting mode to obtain corrected energy;

[0011] Calculate according to the theoretical energy and the corrected energy to obtain the total energy consumption;

[0012] Calculate the running duration according to the total energy consumption to obtain the running duration;

[0013] Input the total energy consumption into the pre-trained energy distribution model for analysis to obtain the actual energy consumption;

[0014] Calculate the allocation strategy based on the actual energy consumption and the operation duration to obtain the energy-saving allocation strategy corresponding to each cutting power distribution module;

[0015] Perform the cutting operation on the target workpiece according to the energy-saving allocation strategy.

[0016] In an alternative embodiment, the energy distribution for each cutting power distribution module of the laser cutting equipment according to the first cutting mode to obtain the theoretical energy includes:

[0017] Analyze according to the first cutting mode to obtain the basic power distribution ratio of the laser cutting equipment;

[0018] Allocate according to the basic power distribution ratio to obtain the allocated ratio energy;

[0019] Match the allocated ratio energy by inputting it into the pre-configured corresponding relationship of theoretical energy to obtain the theoretical energy.

[0020] In an alternative embodiment, the calculation of the total energy consumption based on the theoretical energy and the corrected energy includes:

[0021] The total energy consumption is calculated by the following formula:

[0022]

[0023] Wherein, represents the total energy consumption, represents the theoretical energy of the laser cutting equipment in the i th actual operating state, represents the weight parameter corresponding to the theoretical energy, represents the corrected energy of the laser cutting equipment in the i th actual operating state, represents the weight parameter corresponding to the corrected energy.

[0024] In an alternative embodiment, the calculation of the operation duration based on the total energy consumption to obtain the operation duration includes:

[0025] The operation duration is calculated by the following formula:

[0026]

[0027] Wherein, represents the operation duration, represents the total energy consumption, represents the power of the laser cutting equipment.

[0028] In an alternative embodiment, the training process of the energy distribution model includes:

[0029] Obtain the historical operation data of the laser cutting equipment;

[0030] Analyze according to the historical operation data to obtain the corresponding operating state;

[0031] Extract and analyze according to the operating state to obtain the energy consumption data of the laser cutting equipment in the corresponding operating state;

[0032] Input the energy consumption data into a preset initial energy distribution model for training. When the number of training times is greater than or equal to the preset maximum number of training times, it is determined that the training is completed, and an energy distribution model with completed training is obtained.

[0033] In an alternative embodiment, the calculation of the allocation strategy according to the actual energy consumption and the operation duration to obtain the energy-saving allocation strategy corresponding to each cutting power allocation module includes:

[0034] Obtain the target cutting thickness and the target cutting length;

[0035] Analyze according to the target cutting thickness to obtain the first energy consumption coefficient;

[0036] Analyze according to the target cutting length to obtain the second energy consumption coefficient;

[0037] Calculate according to the first energy consumption coefficient, the second energy consumption coefficient, the actual energy consumption and the operation duration to obtain the energy loss ratio;

[0038] Allocate according to the energy loss ratio to obtain the energy-saving allocation strategy corresponding to each cutting power allocation module.

[0039] In an alternative embodiment, the analysis according to the target cutting thickness to obtain the first energy consumption coefficient includes:

[0040] Obtain the rated working width of the laser cutting equipment;

[0041] Analyze according to the rated working width to obtain the working width parameter of the laser cutting equipment;

[0042] Query according to the working width parameter by inputting it into the energy consumption benchmark coefficient correction database to obtain the first energy consumption coefficient; wherein the energy consumption benchmark coefficient correction database is a database pre-stored in the system.

[0043] Second aspect, the present invention provides an energy-saving control device based on a laser cutting device, comprising:

[0044] A data acquisition module for acquiring target cutting data;

[0045] A mode acquisition module for analyzing according to the target cutting data to obtain a first cutting mode and a second cutting mode;

[0046] A theoretical energy acquisition module for allocating energy to each cutting power allocation module of the laser cutting device according to the first cutting mode to obtain theoretical energy;

[0047] A corrected energy acquisition module for allocating energy to each cutting power allocation module of the laser cutting device according to the second cutting mode to obtain corrected energy;

[0048] A total energy consumption acquisition module for calculating according to the theoretical energy and the corrected energy to obtain the total energy consumption;

[0049] An operating duration acquisition module for calculating the operating duration according to the total energy consumption to obtain the operating duration;

[0050] An energy consumption acquisition module for analyzing by inputting the total energy consumption into a pre-trained energy allocation model to obtain the actual energy consumption;

[0051] A strategy acquisition module for calculating an allocation strategy according to the actual energy consumption and the operating duration to obtain an energy-saving allocation strategy corresponding to each cutting power allocation module;

[0052] A working module for performing a cutting operation on a target cutting workpiece according to the energy-saving allocation strategy.

[0053] Third aspect, the present invention further provides an electronic device, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the energy-saving control method based on a laser cutting device described in any one of the above.

[0054] Fourth aspect, the present invention further provides a computer-readable storage medium. The computer-readable storage medium includes a stored computer program. Wherein, when the computer program runs, it controls the device where the computer-readable storage medium is located to execute the energy-saving control method based on a laser cutting device described in any one of the above.

[0055] Compared with the prior art, the present invention has the following beneficial effects:

[0056] The present invention discloses an energy-saving control method based on a laser cutting device, which includes obtaining target cutting data; analyzing the target cutting data to obtain a first cutting mode and a second cutting mode; allocating energy to each cutting power allocation module of the laser cutting device according to the first cutting mode to obtain theoretical energy; allocating energy to each cutting power allocation module of the laser cutting device according to the second cutting mode to obtain corrected energy; calculating the total energy consumption according to the theoretical energy and the corrected energy; calculating the operating duration according to the total energy consumption to obtain the operating duration; inputting the total energy consumption into a pre-trained energy allocation model for analysis to obtain the actual energy consumption; calculating an energy-saving allocation strategy corresponding to each cutting power allocation module according to the actual energy consumption and the operating duration; and performing a cutting operation on the target cutting workpiece according to the energy-saving allocation strategy. Compared with the prior art, the total input energy is often directly allocated to each module, and fixed power and time parameters are selected for laser cutting operations according to a preset cutting mode. The present invention establishes an energy allocation model for the laser cutting device, comprehensively analyzes the energy consumption of the laser cutting device, determines the operating duration according to the target cutting data and the total energy consumption, and formulates an energy-saving allocation strategy for each cutting power allocation module accordingly. In this way, the problem of energy waste during the cutting process is reduced while ensuring the cutting quality. Therefore, the present invention can solve the problem in the prior art that the influence of different cutting modes on energy efficiency is not fully considered, and fine energy allocation and adjustment cannot be performed according to specific cutting requirements, resulting in unnecessary energy waste. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 is a schematic flow chart of the energy-saving control method based on a laser cutting device provided in the first embodiment of the present invention;

[0058] Figure 2 is a schematic structural diagram of obtaining data provided by the present invention;

[0059] Figure 3 is a schematic structural diagram of the energy-saving control device based on a laser cutting device provided in the second embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0060] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0061] Refer to Figure 1, the first embodiment of the present invention provides an energy-saving control method based on a laser cutting device, including the following steps:

[0062] S11, obtaining target cutting data;

[0063] S12, analyzing according to the target cutting data to obtain a first cutting mode and a second cutting mode;

[0064] S13, performing energy distribution for each cutting power distribution module of the laser cutting device according to the first cutting mode to obtain theoretical energy;

[0065] S14, performing energy distribution for each cutting power distribution module of the laser cutting device according to the second cutting mode to obtain corrected energy;

[0066] S15, calculating according to the theoretical energy and the corrected energy to obtain the total energy consumption;

[0067] S16, calculating the running duration according to the total energy consumption to obtain the running duration;

[0068] S17, inputting the total energy consumption into a pre-trained energy distribution model for analysis to obtain the actual energy consumption;

[0069] S18, calculating an allocation strategy according to the actual energy consumption and the running duration to obtain an energy-saving allocation strategy corresponding to each cutting power distribution module;

[0070] S19, performing a cutting operation on the target cutting workpiece according to the energy-saving allocation strategy.

[0071] In step S11, target cutting data is obtained.

[0072] Specifically, the target cutting data includes target data and cutting data. The target data includes material type data, shape data, dimension data, and thickness data of the target workpiece. In specific applications, characteristics such as thermal conductivity, melting point, and cutability of different materials will significantly affect the cutting process. During this process, it is necessary to clearly obtain the material type data of the target workpiece. For example, stainless steel, aluminum, carbon steel, plastic, wood, etc. At the same time, it is necessary to perform feature analysis on the target workpiece, and obtain the shape data, dimension data, and thickness data of the target workpiece according to the feature analysis operation. Among them, the shape data determines the cutting path and the movement mode of the laser head. For example, straight line, curve, complex contour, etc.; the dimension data records the length, width, and height of the workpiece, which can ensure that the equipment adapts to and processes workpieces of this size; different thicknesses require different cutting parameters, and the cutting depth and required laser power are determined according to the thickness. The cutting data includes laser power, cutting speed, and cutting width. Among them, it is necessary to select an appropriate laser power value according to the material type data and thickness data, with the unit of watt (W); the cutting speed will directly affect the cutting quality and efficiency, and the optimal cutting speed can be obtained through historical cutting data analysis; the cutting width refers to the width of the cut produced during the laser cutting process.

[0073] In step S12, analyze according to the target cutting data to obtain a first cutting mode and a second cutting mode.

[0074] It should be noted that through in-depth analysis of the target cutting data, two cutting modes can be designed for specific workpieces, namely the first cutting mode and the second cutting mode. The first cutting mode is regarded as the standard or preliminary cutting plan. The design goal of this mode is to improve the cutting efficiency of the workpiece while ensuring the cutting quality. This mode focuses more on common cutting conditions and provides a reliable solution for most cases. The second cutting mode is the result of fine-tuning based on the actual situation on the basis of the first mode. This mode focuses on special materials, shapes, or achieving better energy-saving effects. According to the analysis of the target cutting data, during the analysis process, basic cutting data needs to be set based on the target data. According to the material type, relevant tables or manuals are searched to set a reasonable power range. For example, for stainless steel with a relatively high yield strength, a laser power of more than 3000W is required, while for plastic materials, a power of 1500W is sufficient to meet the requirements. The cutting speed determines the speed at which the laser beam moves on the surface of the target material. Too fast will result in incomplete cutting, and too slow will cause overheating of the material. Therefore, by referring to historical data, an appropriate speed value can be found. For example, the speed during stainless steel cutting should be controlled between 1000-1500 mm / min. For the shape data of the target workpiece, the appropriate cutting method is selected by analyzing the specific shape of the target workpiece. For example, for simple geometric shapes, a straight-line cutting method can be used; for complex shapes, a multi-segment cutting method can be used, and segmented cutting is used to reduce the thermal impact of the laser on the material. In addition, the circuit and sequence also need to be considered to avoid interference or collision during the cutting process. The simulation software is used to simulate and test the analysis results of the target cutting data to evaluate the cutting effect. Observe the state of the cutting edge, including the smoothness, accuracy, and defect conditions of the cut. When defects occur, they can be re-calibrated by adjusting the cutting speed and power. Through the analysis of this simulation result, the first cutting mode and the second cutting mode can be obtained.

[0075] In step S13, according to the first cutting mode, energy is allocated to each cutting power distribution module of the laser cutting device to obtain the theoretical energy.

[0076] In one implementation manner, the method includes: analyzing according to the first cutting mode to obtain the basic power distribution ratio of the laser cutting device; allocating according to the basic power distribution ratio to obtain the allocated ratio energy; inputting the allocated ratio energy into the pre-configured corresponding relationship of the theoretical energy for matching to obtain the theoretical energy.

[0077] In a specific implementation, the laser cutting device consists of multiple power distribution modules, each responsible for a different cutting area. According to the first cutting mode, analyze the power requirements of the workpiece during cutting. Use experimental data or simulation tools to analyze the cutting process of different materials and thicknesses, and identify the energy requirements in each area, including different energy requirement data for edge cutting, internal cavity cutting, and corner cutting. For example, through experiments, it is known that for a specific metal plate at a certain thickness, the power required for internal cavity cutting is 20% higher than that for edge cutting. Based on the basic power distribution ratio, specifically calculate the actual energy output value required for each cutting module. First, it is necessary to determine the maximum output power of the laser cutting device. For example, the maximum output power of the device can be set to 1500W. Then, according to the physical properties of the material and the cutting task, divide the total power according to the demand ratio of each module. For example, the total power is 1000W, edge cutting accounts for 60%, internal cavity cutting accounts for 30%, and corner cutting accounts for 10%. Then the corresponding power distribution ratio is: edge cutting: 600W; internal cavity cutting: 300W; corner cutting: 100W.

[0078] At this stage, it is necessary to ensure that the calculated energy value does not exceed the processing capacity of the module and can meet the cutting requirements of the workpiece. If the cutting task is very complex, it may be necessary to adjust the cutting strategy or re-evaluate the power requirements here. Based on the historical allocation capacity data, establish a theoretical energy correspondence relationship between energy and cutting effect. For example, the theoretical energy correspondence relationship can be obtained by regression analysis of the historical allocation capacity data. Input the allocated ratio energy of each module (such as 900W, 450W, 150W) as variables into the theoretical energy correspondence relationship for matching analysis to obtain the theoretical energy. At the same time, it is also necessary to compare the allocated power with the theoretical energy and analyze the energy utilization efficiency of each module. For example, the deviation between the allocated power and the theoretical energy of the edge cutting module. If the deviation of a certain module is too large, it is necessary to adjust the parameters of the module or re-examine the accuracy of the basic power distribution ratio. Using these energy data, further performance analysis and improvement can be carried out. For example, if it is found that the theoretical energy of internal cavity cutting is lower than the allocated power, the energy allocation for internal cavity cutting can be reduced to avoid energy waste.

[0079] In step S14, according to the second cutting mode, perform energy allocation for each cutting power distribution module of the laser cutting device to obtain corrected energy.

[0080] The second cutting mode targets requirements for different materials, thicknesses, or cutting precisions. For example, if the thickness of the raw material increases, the cutting speed and power requirements will also increase accordingly. At this stage, it is necessary to compare the parameters of the second cutting mode (such as power, speed, pulse frequency, etc.) with those of the first cutting mode and analyze the differences between them. Analyze the specific requirements under the second cutting mode, including cutting depth, cutting edge quality, and cutting speed, etc. For example, for thicker metal materials, to improve the penetration ability and energy density of the laser beam, the second cutting mode can be selected to improve the cutting quality. At the same time, it is necessary to increase the cooling time or adjust the gas flow rate to reduce the heat-affected zone generated during cutting. At this stage, it is necessary to collect cutting cases of similar materials and thicknesses from the historical records and extract data on energy usage efficiency. Through comparative analysis, determine the new power distribution ratio. For example, in the first cutting mode, 60% is obtained for edge cutting and 40% for internal cavity cutting. In the second cutting mode, considering the importance of internal cavity cutting, its ratio can be increased to 50%. For example, when processing metal materials, more energy is required for internal cavity cutting to ensure smooth cutting and quality. Use the new power distribution ratio to calculate the corrected energy output of each cutting module, and check the corrected energy values to ensure that the energy distribution of each module meets the technical specifications of the equipment. In addition, ensure that the corrected energy is within the effective range required for cutting to avoid cutting failures caused by too high or too low energy output.

[0081] In step S15, calculate the total energy consumption according to the theoretical energy and the corrected energy.

[0082] In one implementation, the total energy consumption is calculated by the following formula:

[0083]

[0084] where, represents the total energy consumption, represents the theoretical energy of the laser cutting equipment in the i th actual operating state, represents the weight parameter corresponding to the theoretical energy, represents the corrected energy of the laser cutting equipment in the i th actual operating state, represents the weight parameter corresponding to the corrected energy.

[0085] It should be noted that the total energy consumption Represents the total energy consumed by the laser cutting equipment when performing a specific cutting task. It is the total energy required to complete the task under specific conditions, with the unit of joule (J). In practical applications, the calculation of the total energy consumption needs to consider multiple factors, including: Energy consumption of the laser: The electrical energy consumed by the laser during the cutting process, measured in kilowatt-hours (kWh). Energy consumption of the auxiliary system: The electrical energy consumed by auxiliary equipment such as the cooling system and control system during the cutting process. Losses during the cutting process: Losses caused by reflection, absorption, scattering, etc. of the laser during the cutting process. The theoretical energy in the i-th actual operating state is obtained through distribution in step S13 in the i-th actual operating state. The weight parameter corresponding to the theoretical energy refers to adjusting the proportion of the theoretical energy in the total energy consumption. The weight parameter of the theoretical energy can be determined by collecting a large amount of cutting data and using statistical methods. In this process, by analyzing historical cutting data, the average proportion of the theoretical energy in the total energy consumption can be determined, and the weight parameter can also be dynamically adjusted according to real-time monitoring data. In this process, according to real-time monitoring data, the weight of the theoretical energy is dynamically adjusted to adapt to changes in cutting conditions.

[0086] The corrected energy in the i-th actual operating state represents the energy after adjustment considering material characteristics, equipment status, and environmental factors according to the actual cutting conditions. For example, if the thickness or hardness of the material exceeds expectations, the laser power needs to be increased or the cutting speed needs to be adjusted. The calculation of the corrected energy in the i-th actual operating state can be obtained based on experimental tests and real-time monitoring data. In practical applications, the calculation of the corrected energy needs to consider: Material characteristics: Characteristics such as the thickness, hardness, and melting point of the material affect the energy requirements during the cutting process. Equipment status: Equipment status such as the output stability of the laser and the accuracy of the cutting head affects the energy requirements during the cutting process. Environmental factors: Environmental factors such as ambient temperature and humidity affect the energy requirements during the cutting process. The weight parameter corresponding to the corrected energy refers to adjusting the proportion of the corrected energy in the total energy consumption. The determination of the weight parameter of the corrected energy can be obtained through a comprehensive analysis based on historical data and real-time monitoring data. In practical applications, by analyzing historical cutting data, the average proportion of the corrected energy in the total energy consumption is determined, and the weight parameter of the corrected energy is obtained through analysis using the average proportion. The number of actual operating states represents the number of different operating states or conditions considered during the cutting process, including different material types, thicknesses, cutting speeds, laser powers, etc. In actual production, it may be necessary to adjust the working parameters of the laser cutting equipment according to different cutting tasks and conditions to meet different cutting requirements. In practical applications, different cutting tasks require different cutting parameters and conditions; different materials require different cutting parameters and conditions; different laser cutting equipment has different capabilities and limitations.

[0087] In step S16, the running duration is calculated according to the total energy consumption to obtain the running duration.

[0088] In one implementation, the running duration is calculated by the following formula:

[0089]

[0090] where, represents the running duration, represents the total energy consumption, represents the power of the laser cutting device.

[0091] The running duration refers to the time required for the laser cutting device to complete a specific cutting task. By accurately calculating the running duration, waiting and idle time can be reduced, and production efficiency can be improved to reduce energy consumption. Different cutting tasks require different cutting times; different settings of parameters such as cutting speed and laser power will increase or decrease the cutting time. The power of the laser cutting device represents the energy output by the device per unit time, and the power of the device will be adjusted according to changes in cutting conditions. For example, higher power may be required for thicker materials, while lower power is required for thinner materials.

[0092] In step S17, the total energy consumption is input into the pre-trained energy distribution model for analysis to obtain the actual energy consumption.

[0093] In one implementation, the training process of the energy distribution model includes: obtaining the historical operation data of the laser cutting device; analyzing the historical operation data to obtain the corresponding operating state; extracting and analyzing according to the operating state to obtain the energy consumption data of the laser cutting device in the corresponding operating state; inputting the energy consumption data into the preset initial energy distribution model for training. When the number of training times is greater than or equal to the preset maximum number of training times, it is determined that the training is completed, and the trained energy distribution model is obtained.

[0094] It should be noted that before inputting, the total energy consumption needs to be appropriately normalized so that the model can better accept this data. For example, if the input range of the model is set between 0 and 100, the total energy consumption can be converted into the corresponding ratio by the maximum-minimum normalization method. The actual energy consumption calculated by the model based on the input total energy consumption is lower than the theoretical calculated value. By comparing the actual energy consumption with the theoretical calculated value, the operating efficiency of the equipment and the rationality of the process parameters can be evaluated according to the comparison results. For example, if the difference between the two is large, it indicates problems such as equipment failures, improper cutting parameters, or insufficient consideration of material properties; if the actual energy consumption is much higher than the theoretical calculated value, the laser cutting process needs to be reviewed to check and eliminate the existing energy waste. After obtaining the actual energy consumption, the prediction results of the model are systematically sorted out to generate a detailed energy consumption analysis report, which includes the comparison of the theoretical energy consumption and the actual energy consumption of each cutting task, as well as the changes in relevant cutting parameters. The model is continuously trained through the report so that the model can adapt to the actual needs and continuously improve.

[0095] In step S18, according to the actual energy consumption and the operating duration, an allocation strategy calculation is performed to obtain an energy-saving allocation strategy corresponding to each cutting power allocation module.

[0096] In one implementation, the target cutting thickness and the target cutting length are obtained; according to the analysis of the target cutting thickness, a first energy consumption coefficient is obtained; according to the analysis of the target cutting length, a second energy consumption coefficient is obtained; according to the first energy consumption coefficient, the second energy consumption coefficient, the actual energy consumption, and the operating duration, an energy loss ratio is calculated; according to the energy loss ratio, an energy-saving allocation strategy corresponding to each cutting power allocation module is obtained.

[0097] In one implementation, the rated working width of the laser cutting equipment is obtained; according to the analysis of the rated working width, the working width parameter of the laser cutting equipment is obtained; the working width parameter is input into the energy consumption benchmark coefficient correction database for query to obtain a first energy consumption coefficient; the energy consumption benchmark coefficient correction database is a database pre-stored in the system.

[0098] It should be noted that the target cutting thickness refers to the thickness of the material to be cut during laser cutting. The cutting process requirements and energy consumption characteristics of materials with different thicknesses will also be different. The target cutting length refers to the total length of the laser cutting path. Using the existing cutting case data, the cutting consumption of different thicknesses is statistically analyzed, and the corresponding average energy consumption value is calculated to obtain the first energy consumption coefficient. The complexity of the cutting path (such as curves, straight lines, staggered cutting, etc.) directly affects the energy consumption. A complex path will lead to an increase in energy consumption. Therefore, it is necessary to analyze the path characteristics. The longer the cutting path, the longer the cutting time required. Therefore, the second energy consumption coefficient can be obtained by combining the cutting length with the preset cutting speed. After obtaining the first energy consumption coefficient and the second energy consumption coefficient, combined with the actual consumed energy and operating duration, the energy loss ratio can be calculated. According to the obtained energy loss ratio, it is used for the energy-saving strategy calculation of the cutting power distribution module. In the specific implementation steps, a benchmark energy consumption standard is determined. The benchmark can be set based on historical data. According to the energy loss ratio, the working states of each cutting power distribution module are dynamically adjusted. For example, when the energy loss ratio is high, the working power of some modules can be considered to be reduced; on the premise of ensuring the cutting quality, the cutting path and cutting sequence are improved using the energy-saving distribution strategy to reduce unnecessary energy consumption, and the energy consumption data obtained in the actual operation is fed back to the system to continuously update the energy consumption coefficient and the energy-saving distribution strategy, forming a good closed-loop management system.

[0099] The rated working width of the laser cutting equipment refers to the maximum width that the equipment can handle during cutting. When the cutting width is close to the rated working width of the equipment, the uniformity of the laser beam and the cutting effect will be affected, resulting in an increase in energy consumption. For example, if the width is too large, multiple backscanning cuts are required, causing unnecessary energy consumption. According to the actual cutting task requirements, the cutting width can be reasonably selected to effectively reduce energy consumption. For example, reducing the cutting width will make the cutting path more linear, thereby increasing the cutting speed and reducing energy consumption.

[0100] In step S19, the cutting operation of the target cutting workpiece is performed according to the energy-saving distribution strategy.

[0101] Before performing the cutting operation, ensure that the laser cutting machine is in normal working condition, including a comprehensive inspection and maintenance of the laser source, optical path system, cooling system, etc. Prepare the corresponding cutting materials according to the type and thickness of the target cutting workpiece, and confirm that there are no obvious defects on the material surface, such as rust, dirt, etc. Input the energy-saving allocation strategy into the laser cutting control system according to the energy-saving allocation strategy formulated in step S18. During the cutting process, real-time monitoring and adjustment are required for multiple aspects. Through the built-in sensors of the equipment or external monitoring tools, record the energy consumption data of each cutting in real time, compare it with the preset energy consumption benchmark, regularly check the quality of the cutting edge, such as smoothness, slit width, etc., to ensure compliance with technical requirements. If any abnormalities are found, adjust the cutting parameters in a timely manner. If the real-time monitoring data shows that the energy consumption exceeds the expectation, the system can automatically adjust the cutting power according to the energy-saving allocation strategy to reduce the energy consumption; on the contrary, if the energy consumption is lower than the set value, the power can be increased to speed up the cutting speed.

[0102] To facilitate the understanding of the present invention, some preferred embodiments of the present invention will be further described below.

[0103] The working process of the present invention will be described below by taking a relatively common scenario as an example. Please refer to Figure 2 , which is Figure 1 a schematic diagram of the working scenario of the method.

[0104] A company that produces metal parts, after receiving a customer order, designs the target workpiece using CAD software and extracts the required cutting data, including material type, thickness, shape, and cutting path. According to the target cutting data, analyze and confirm two cutting modes: The first cutting mode: suitable for high-speed and large-scale production, emphasizing efficiency. The second cutting mode: emphasizing cutting quality, suitable for small-batch production with high precision requirements.

[0105] For the first cutting mode, use the system algorithm to allocate energy to each cutting power allocation module of the laser cutting equipment to obtain the theoretical energy. For example: the energy required to cut 5 mm thick stainless steel at high power is 1500 J. For the second cutting mode, perform energy allocation in the same way to obtain the corrected energy. For example: in the case of optimizing the cutting quality, it may require 1750 J. Add the theoretical energy and the corrected energy to obtain the total energy consumption of 3250 J.

[0106] Based on the cutting speed of the machine (for example, a cutting path of 1 meter per minute), the running duration of the entire cutting operation is calculated, such as 20 minutes. The total energy consumption is input into a pre-trained energy distribution model for analysis, and the result shows that the actual energy consumption is 3400 J. Based on the actual energy consumption and the running duration, the energy-saving distribution strategy for each cutting power distribution module is calculated. For example, in the first cutting mode, 70% of the energy is allocated to the main cutting head and 30% to the auxiliary module. The target workpiece is cut by the laser cutting device according to the energy-saving distribution strategy. The device monitors the energy consumption in real time and adjusts the power to ensure the energy-saving effect is maintained. Finally, the cutting task is completed, the product quality meets the standard, and the energy consumption is significantly reduced.

[0107] In summary, the present invention discloses an energy-saving control method based on a laser cutting device, including obtaining target cutting data; analyzing according to the target cutting data to obtain a first cutting mode and a second cutting mode; allocating energy for each cutting power distribution module of the laser cutting device according to the first cutting mode to obtain theoretical energy; allocating energy for each cutting power distribution module of the laser cutting device according to the second cutting mode to obtain corrected energy; calculating according to the theoretical energy and the corrected energy to obtain the total energy consumption; calculating the running duration according to the total energy consumption to obtain the running duration; inputting the total energy consumption into a pre-trained energy distribution model for analysis to obtain the actual energy consumption; calculating the distribution strategy according to the actual energy consumption and the running duration to obtain the energy-saving distribution strategy corresponding to each cutting power distribution module; and performing a cutting operation on the target cutting workpiece according to the energy-saving distribution strategy. Compared with the prior art, the total input energy is often directly allocated to each module, and fixed power and time parameters are selected for laser cutting operations according to a preset cutting mode.

[0108] The present invention establishes an energy distribution model for a laser cutting device, comprehensively analyzes the energy consumption of the laser cutting device, determines the running duration according to the target cutting data and the total energy consumption, and formulates an energy-saving distribution strategy for each cutting power distribution module accordingly. This method reduces the problem of energy waste during the cutting process while ensuring the cutting quality. Therefore, the present invention can solve the problem in the prior art that the influence of different cutting modes on energy efficiency is not fully considered, and fine energy allocation and adjustment cannot be performed according to specific cutting requirements, resulting in unnecessary energy waste.

[0109] Referring to Figure 3 , the second embodiment of the present invention provides an energy-saving control device based on a laser cutting device, including:

[0110] A data acquisition module, configured to acquire target cutting data;

[0111] A mode acquisition module, configured to analyze according to the target cutting data to obtain a first cutting mode and a second cutting mode;

[0112] A theoretical energy acquisition module, configured to perform energy distribution for each cutting power distribution module of the laser cutting device according to the first cutting mode to obtain theoretical energy;

[0113] A corrected energy acquisition module, configured to perform energy distribution for each cutting power distribution module of the laser cutting device according to the second cutting mode to obtain corrected energy;

[0114] A total energy consumption acquisition module, configured to calculate according to the theoretical energy and the corrected energy to obtain the total energy consumption;

[0115] An operating duration acquisition module, configured to calculate the operating duration according to the total energy consumption to obtain the operating duration;

[0116] An energy consumption acquisition module, configured to input the total energy consumption into a pre-trained energy distribution model for analysis to obtain the actual energy consumption;

[0117] A strategy acquisition module, configured to calculate an allocation strategy according to the actual energy consumption and the operating duration to obtain an energy-saving allocation strategy corresponding to each cutting power distribution module;

[0118] A working module, configured to perform a cutting operation on a target cutting workpiece according to the energy-saving allocation strategy.

[0119] It should be noted that an energy-saving control device based on a laser cutting device provided in an embodiment of the present invention is used to execute all process steps of an energy-saving control method based on a laser cutting device in the above embodiment. The working principles and beneficial effects of the two correspond one by one, and thus will not be elaborated here.

[0120] An embodiment of the present invention further provides an electronic device. The electronic device includes: a processor, a memory, and a computer program stored in the memory and executable on the processor, such as an algorithm program. When the processor executes the computer program, the steps in the above embodiments of the energy-saving control method based on a laser cutting device are implemented, such as Figure 1 The step S11 shown. Alternatively, when the processor executes the computer program, the functions of each module / unit in the above device embodiments are implemented, such as the energy consumption acquisition module.

[0121] Exemplarily, the computer program may be divided into one or more modules / units, and the one or more modules / units are stored in the memory and executed by the processor to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of performing specific functions, and these instruction segments are used to describe the execution process of the computer program in the electronic device.

[0122] The electronic device may be a computing device such as a desktop computer, a notebook, a palm computer, and a smart tablet. The electronic device may include, but is not limited to, a processor and a memory. Those skilled in the art can understand that the above components are only examples of the electronic device and do not constitute a limitation on the electronic device. It may include more or fewer components than the above, or combine some components, or different components. For example, the electronic device may further include input / output devices, network access devices, a bus, etc.

[0123] The so-called processor may be a central processing unit (CPU), or may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The processor is the control center of the electronic device and connects various parts of the entire electronic device through various interfaces and lines.

[0124] The memory can be used to store the computer programs and / or modules. By running or executing the computer programs and / or modules stored in the memory, and invoking the data stored in the memory, the processor implements various functions of the electronic device. The memory mainly includes a program storage area and a data storage area. Among them, the program storage area can store the operating system, application programs required for at least one function (such as the sound playback function, the image playback function, etc.); the data storage area can store the data created according to the use of the mobile phone (such as audio data, phone book, etc.). In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, at least one magnetic disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0125] Among them, if the modules / units integrated in the electronic device are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, to implement all or part of the processes in the above-mentioned embodiment methods of the present invention, it can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disc, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc. It should be noted that the content included in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0126] It should be noted that the device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. In addition, in the attached drawings of the device embodiments provided by the present invention, the connection relationships between the modules indicate that they have communication connections, which can be specifically implemented as one or more communication buses or signal lines. Those of ordinary skill in the art can understand and implement without creative efforts.

[0127] The specific embodiments described above further elaborate on the purpose, technical solutions, and beneficial effects of the present invention. It should be understood that the above are only specific embodiments of the present invention and are not used to limit the protection scope of the present invention. In particular, for those skilled in the art, any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

Claims

1. An energy-saving control method based on laser cutting equipment, characterized in that: Executed by a computer, including: Obtain target cutting data; Analyze the target cutting data to obtain a first cutting mode and a second cutting mode; Distribute energy to each cutting power distribution module of the laser cutting device according to the first cutting mode to obtain theoretical energy; Distribute energy to each cutting power distribution module of the laser cutting device according to the second cutting mode to obtain corrected energy; Calculate according to the theoretical energy and the corrected energy to obtain the total energy consumption; Calculate the running time according to the total energy consumption to obtain the running time; The total energy consumption is input into a pre-trained energy allocation model for analysis to obtain actual energy consumption; Calculate the allocation strategy according to the actual energy consumption and the operating time to obtain the energy-saving allocation strategy corresponding to each cutting power allocation module; Performing a cutting operation on a target cutting workpiece according to the energy-saving allocation strategy; The energy-saving allocation strategy corresponding to each cutting power allocation module is obtained by calculating the allocation strategy according to the actual energy consumption and the operation time, including: Obtain target cutting thickness and target cutting length; Analyze according to the target cutting thickness to obtain a first energy consumption coefficient; Analyze according to the target cutting length to obtain a second energy consumption coefficient; Calculating according to the first energy consumption coefficient, the second energy consumption coefficient, the actual energy consumption and the operating time to obtain an energy loss ratio; The energy loss ratio is allocated to obtain an energy-saving allocation strategy corresponding to each cutting power allocation module.

2. The energy-saving control method based on laser cutting equipment according to claim 1 is characterized in that: The step of distributing energy to each cutting power distribution module of the laser cutting device according to the first cutting mode to obtain theoretical energy includes: Analyze according to the first cutting mode to obtain a basic power distribution ratio of the laser cutting equipment; Allocate according to the basic power allocation ratio to obtain allocated proportional energy; According to the distribution ratio, the energy is input into a pre-configured theoretical energy corresponding relationship for matching to obtain theoretical energy.

3. The energy-saving control method based on laser cutting equipment according to claim 1 is characterized in that: The calculating according to the theoretical energy and the corrected energy to obtain the total energy consumption includes: The total energy consumption is calculated by the following formula: in, Represents the total energy consumption, Indicates that laser cutting equipment is i Theoretical energy under actual operating conditions, represents the weight parameter corresponding to the theoretical energy, Indicates that in the laser cutting equipment i The corrected energy under the actual operating state, Represents the weight parameter corresponding to the corrected energy.

4. The energy-saving control method based on laser cutting equipment according to claim 1 is characterized in that: The calculating the running time according to the total energy consumption to obtain the running time includes: The running time is calculated by the following formula: in, Indicates the running time. Represents the total energy consumption, Indicates the power of the laser cutting equipment.

5. The energy-saving control method based on laser cutting equipment according to claim 1 is characterized in that: The training process of the energy allocation model includes: Obtain historical operation data of laser cutting equipment; Analyze the historical operation data to obtain a corresponding operation status; Extract and analyze according to the operating state to obtain energy consumption data of the laser cutting equipment under the corresponding operating state; The energy consumption data is input into a preset initial energy allocation model for training. When the number of training times is greater than or equal to a preset maximum number of training times, the training is determined to be completed, and a trained energy allocation model is obtained.

6. The energy-saving control method based on laser cutting equipment according to claim 1 is characterized in that: The step of analyzing the target cutting thickness to obtain a first energy consumption coefficient includes: Get the rated working width of the laser cutting equipment; Analyze according to the rated working width to obtain the working width parameter of the laser cutting equipment; According to the working width parameter, the energy consumption reference coefficient correction database is inputted for query to obtain the first energy consumption coefficient; wherein the energy consumption reference coefficient correction database is a database pre-stored in the system.

7. An energy-saving control device based on laser cutting equipment, characterized in that: To realize rights such as The energy-saving control method based on laser cutting equipment according to any one of claims 1 to 6 comprises: A data acquisition module, used to acquire target cutting data; A mode acquisition module, used for analyzing the target cutting data to obtain a first cutting mode and a second cutting mode; a theoretical energy acquisition module, used to distribute energy to each cutting power distribution module of the laser cutting equipment according to the first cutting mode to obtain theoretical energy; A modified energy acquisition module, used for distributing energy to each cutting power distribution module of the laser cutting equipment according to the second cutting mode to obtain modified energy; A total energy consumption acquisition module is used to calculate the total energy consumption according to the theoretical energy and the corrected energy; A running time acquisition module, used to calculate the running time according to the total energy consumption to obtain the running time; The energy consumption acquisition module is used to input the total energy consumption into a pre-trained energy allocation model for analysis to obtain the actual energy consumption; A strategy acquisition module, used to calculate the allocation strategy according to the actual energy consumption and the operation time, and obtain the energy-saving allocation strategy corresponding to each cutting power allocation module; A working module is used to perform a cutting operation on a target cutting workpiece according to the energy-saving allocation strategy.

8. An electronic device, characterized in that: It comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, it implements the energy-saving control method based on laser cutting equipment as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the energy-saving control method based on laser cutting equipment according to any one of claims 1 to 6.

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