Energy-saving control method and device based on laser cutting equipment

Abstract

The invention relates to the technical field of equipment energy-saving control, and discloses an energy-saving control method and device based on laser cutting device.The method comprises the steps that target cutting data are obtained and analyzed, and a first cutting mode and a second cutting mode are obtained; distributing each module of the equipment according to the first cutting mode to obtain theoretical energy; distributing each module of the equipment according to the second cutting mode to obtain correction energy; calculating according to the theoretical energy and the corrected energy to obtain the total energy consumption; calculating according to the total energy consumption to obtain operation duration; inputting the total energy consumption into an energy distribution model for analysis to obtain actual energy consumption; and distribution is carried out according to the actual consumed energy and the operation duration, an energy-saving distribution strategy of each module is obtained, and the workpiece is cut. According to the method, the problem that in the prior art, fine energy distribution and adjustment cannot be conducted according to specific cutting requirements, and unnecessary energy waste is caused can be solved.

Description

Technical Field

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

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

[0003] In one prior art, the total input energy is often directly distributed to each module, and fixed power and time parameters are selected to perform laser cutting operations according to a preset cutting mode.

[0004] The existing technology does not fully consider the impact of different cutting modes on energy efficiency, and is unable to perform fine energy allocation and adjustment 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 laser cutting equipment to solve the problem that the prior art does not fully consider the impact of different cutting modes on energy efficiency, cannot perform fine energy distribution and adjustment according to specific cutting requirements, and leads to unnecessary energy waste.

[0006] In the first aspect, in order to solve the above technical problems, the present invention provides an energy-saving control method based on laser cutting equipment, comprising: 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; The cutting operation of the target cutting workpiece is performed according to the energy-saving allocation strategy.

[0007] In an optional embodiment, performing energy distribution for 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.

[0008] In an optional implementation manner, 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.

[0009] In an optional implementation, 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.

[0010] In an optional implementation, 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.

[0011] In an optional implementation, the allocation strategy is calculated according to the actual energy consumption and the operating time to obtain the energy-saving allocation strategy corresponding to each cutting power allocation module, 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.

[0012] In an optional implementation, the analyzing according to the target cutting thickness to obtain the 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.

[0013] In a second aspect, the present invention provides an energy-saving control device based on laser cutting equipment, comprising: 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 operating 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.

[0014] In a 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, wherein when the processor executes the computer program, the energy-saving control method based on the laser cutting equipment as described above is implemented.

[0015] In a fourth aspect, the present invention further provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute any one of the above-mentioned energy-saving control methods based on laser cutting equipment.

[0016] Compared with the prior art, the present invention has the following beneficial effects: The present invention discloses an energy-saving control method based on laser cutting equipment, including obtaining target cutting data; analyzing the target cutting data to obtain a first cutting mode and a second cutting mode; distributing energy to each cutting power distribution module of the laser cutting equipment according to the first cutting mode to obtain theoretical energy; distributing energy to each cutting power distribution module of the laser cutting equipment according to the second cutting mode to obtain corrected energy; calculating according to the theoretical energy and the corrected energy to obtain a total energy consumption; calculating the operating time according to the total energy consumption to obtain the operating time; inputting the total energy consumption into a pre-trained energy distribution model for analysis to obtain actual energy consumption; calculating the distribution strategy according to the actual energy consumption and the operating time to obtain the energy-saving distribution strategy corresponding to each cutting power distribution module; and performing the cutting operation of the target cutting workpiece according to the energy-saving distribution strategy. Compared with the prior art, the input total energy is often directly distributed to each module, and fixed power and time parameters are selected for laser cutting operations according to the preset cutting mode. The present invention establishes an energy distribution model for laser cutting equipment, comprehensively analyzes the energy consumption of laser cutting equipment, determines the operating time 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, thereby reducing the energy waste problem in the cutting process while ensuring the cutting quality. Therefore, the present invention can solve the problem that the prior art does not fully consider the impact of different cutting modes on energy efficiency, cannot perform fine energy distribution and adjustment according to specific cutting requirements, and leads to unnecessary energy waste. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic flow chart of an energy-saving control method based on laser cutting equipment provided by the first embodiment of the present invention; Figure 2 It is a structural schematic diagram of obtaining data provided by the present invention; Figure 3 It is a schematic diagram of the structure of an energy-saving control device based on laser cutting equipment provided in the second embodiment of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] Reference Figure 1The first embodiment of the present invention provides an energy-saving control method based on laser cutting equipment, comprising the following steps: S11, obtaining target cutting data; S12, analyzing the target cutting data to obtain a first cutting mode and a second cutting mode; S13, distributing energy to each cutting power distribution module of the laser cutting device according to the first cutting mode to obtain theoretical energy; S14, distributing energy to each cutting power distribution module of the laser cutting device according to the second cutting mode to obtain corrected energy; S15, calculating according to the theoretical energy and the corrected energy to obtain a total energy consumption; S16, calculating the operation time according to the total energy consumption to obtain the operation time; S17, inputting the total energy consumption into a pre-trained energy allocation model for analysis to obtain actual energy consumption; S18, calculating the allocation strategy according to the actual energy consumption and the operation time to obtain the energy-saving allocation strategy corresponding to each cutting power allocation module; S19, performing a cutting operation on the target workpiece according to the energy-saving allocation strategy.

[0020] In step S11, target cutting data is acquired.

[0021] Specifically, the target cutting data includes target data and cutting data. The target data includes the material type data, shape data, size data and thickness data of the target workpiece. In specific applications, the differences in thermal conductivity, melting point, cutting properties and other characteristics of different materials will significantly affect the cutting process. In this process, it is necessary to clearly obtain the material type data of the target workpiece, such as 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, size 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, such as straight lines, curves, complex contours, etc.; the size data records the length, width and height of the workpiece, which can ensure that the equipment adapts to and processes the workpiece of this size; different thicknesses require different cutting parameters, and the cutting depth and the 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 the appropriate laser power value according to the material type data and thickness data, in watts (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 incision generated during the laser cutting process.

[0022] In step S12, the target cutting data is analyzed to obtain a first cutting mode and a second cutting mode.

[0023] 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 a standard or preliminary cutting solution. 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 the first mode based on actual conditions. This mode focuses on special materials and shapes, or achieving better energy-saving effects. According to the target cutting data, analysis is performed. 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 need to be found to set a reasonable power range. For example, for stainless steel with a higher 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 how fast 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, the appropriate speed value can be found. For example, the speed of stainless steel cutting should be controlled between 1000-1500 mm / min. According to 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 can be used to reduce the thermal effect of the laser on the material. In addition, the loop and sequence must be considered to avoid interference or collision during the cutting process. The simulation software is used to simulate the analysis results of the target cutting data to evaluate the cutting effect and observe the cutting edge status, including the smoothness, accuracy and defects of the cut. When defects occur, they can be recalibrated 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.

[0024] In step S13, energy is distributed to each cutting power distribution module of the laser cutting equipment according to the first cutting mode to obtain theoretical energy.

[0025] In one implementation, the method includes: analyzing according to the first cutting mode to obtain a basic power allocation ratio of the laser cutting equipment; allocating according to the basic power allocation ratio to obtain allocation ratio energy; and inputting the allocation ratio energy into a pre-configured theoretical energy correspondence for matching to obtain theoretical energy.

[0026] In a specific implementation, the laser cutting equipment is composed of multiple power distribution modules, each module is responsible for a different cutting area, and according to the first cutting mode, the power demand of the workpiece during cutting is analyzed, and the cutting process of different materials and thicknesses is analyzed using experimental data or simulation tools to identify the energy demand in various fields, including different energy demand data for edge cutting, inner cavity cutting and corner cutting. For example, it is known through experiments that for a specific metal plate, at a certain thickness, the power required for inner cavity cutting is 20% higher than that for edge cutting. According to the basic power distribution ratio, the actual energy output value required for each cutting module is specifically calculated. First, the maximum output power of the laser cutting equipment needs to be determined. For example, the maximum output power of the equipment can be set to 1500W; then, according to the physical properties of the material and the cutting task, the total power is divided according to the demand ratio of each module. For example, the total power is 1000W, while edge cutting accounts for 60%, inner cavity cutting accounts for 30%, and corner cutting accounts for 10%. The corresponding power distribution ratio is: edge cutting: 600W; inner cavity cutting: 300W; corner cutting: 100W.

[0027] 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 is necessary to adjust the cutting strategy or re-evaluate the power requirements. Based on the historical allocation capacity data, a theoretical energy correspondence between energy and cutting effect is established. For example, the theoretical energy correspondence can be obtained by regression analysis of the historical allocation capacity data, and the allocated energy ratio of each module (for example, 900W, 450W, 150W) is used as a variable to enter the theoretical energy correspondence 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 module is too large, the parameters of the module need to be adjusted, or the accuracy of the basic power allocation ratio needs to be reviewed. Using these energy data, performance analysis and improvement can be further performed. For example, if it is found that the theoretical energy of intracavity cutting is lower than the allocated power, the energy allocation of intracavity cutting can be reduced to avoid energy waste.

[0028] In step S14, energy is distributed to each cutting power distribution module of the laser cutting equipment according to the second cutting mode to obtain corrected energy.

[0029] The second cutting mode is aimed at the requirements of different materials, thicknesses or cutting accuracy. For example, if the thickness of the raw material increases, the cutting speed and power requirements will also increase accordingly. At this stage, the parameters of the second cutting mode (such as power, speed, pulse frequency, etc.) need to be compared with the first cutting mode to analyze the differences between the two. Analyze the specific requirements in the second cutting mode, including cutting depth, cutting edge quality and cutting speed. For example, for thicker metal materials, it is necessary to improve the penetration ability and energy density of the laser beam. Then, 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 the cutting process. At this stage, it is necessary to collect cutting cases of similar materials and thicknesses from historical records and extract data on energy efficiency. Through comparative analysis, the new power allocation ratio is determined. For example, in the first cutting mode, edge cutting obtains 60% and inner cavity cutting obtains 40%. In the second cutting mode, considering the importance of inner cavity cutting, its proportion can be increased to 50%. For example, when processing metal materials, more energy is required for inner 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 value to ensure that the energy distribution of each module meets the technical specifications of the equipment. In addition, make sure that the corrected energy is within the effective range required for cutting to avoid cutting failure due to excessive or low energy output.

[0030] In step S15, a calculation is performed based on the theoretical energy and the corrected energy to obtain a total energy consumption.

[0031] In one implementation, the total energy consumption is calculated using 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.

[0032] It should be noted that the total energy consumption It 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. The unit is joule (J). In practical applications, the calculation of the total energy consumption needs to consider multiple factors, including: Energy consumption of the laser: The electric energy consumed by the laser during the cutting process, in kilowatt-hours (kWh). Energy consumption of auxiliary systems: including the electric energy consumed by auxiliary equipment such as cooling systems and control systems during the cutting process. Losses during the cutting process: including the losses caused by reflection, absorption, scattering, etc. during the cutting process. The theoretical energy under the i-th actual operating state represents the distribution obtained by step S13 under the i-th actual operating state. The weight parameter corresponding to the theoretical energy refers to 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, the historical cutting data can be analyzed to determine the average proportion of the theoretical energy in the total energy consumption. The weight parameter can also be dynamically adjusted according to the real-time monitoring data. In this process, the weight of the theoretical energy is dynamically adjusted according to the real-time monitoring data to adapt to changes in cutting conditions.

[0033] The corrected energy under the ith actual operating state represents the energy adjusted according to the actual cutting conditions, taking into account the material properties, equipment status and environmental factors. For example, if the thickness or hardness of the material exceeds expectations, it is necessary to increase the laser power or adjust the cutting speed. The calculation of the corrected energy under the ith actual operating state can be calculated based on experimental tests and real-time monitoring data. In practical applications, the calculation of the corrected energy needs to consider: Material properties: Material thickness, hardness, melting point and other properties affect the energy demand during the cutting process. Equipment status: Equipment status such as the output stability of the laser and the accuracy of the cutting head affect the energy demand during the cutting process. Environmental factors: Environmental factors such as ambient temperature and humidity affect the energy demand during the cutting process. The weight parameter corresponding to the corrected energy refers to the proportion of the adjusted corrected energy in the total energy consumption. The determination of the weight parameter of the corrected energy can be obtained through 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 by analysis using the average proportion. The number of actual operating states indicates 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 is necessary to adjust the operating parameters of the laser cutting equipment according to different cutting tasks and conditions to adapt to different cutting requirements. In actual 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.

[0034] In step S16, the operation time is calculated according to the total energy consumption to obtain the operation time.

[0035] In one implementation, 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.

[0036] Run time refers to the time required for laser cutting equipment to complete a specific cutting task. By accurately calculating the run time, you can reduce waiting and idle time, improve production efficiency and 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 cutting time. The power of laser cutting equipment refers to the energy output of the equipment per unit time. The power of the equipment 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.

[0037] In step S17, the total energy consumption is input into a pre-trained energy allocation model for analysis to obtain actual energy consumption.

[0038] In one implementation, the training process of the energy distribution model includes: obtaining historical operation data of the laser cutting equipment; analyzing the historical operation data to obtain a corresponding operating state; extracting and analyzing the operating state to obtain energy consumption data of the laser cutting equipment under the corresponding operating state; inputting the energy consumption data into a preset initial energy distribution model for training, and when the number of training times is greater than or equal to the preset maximum number of training times, determining that the training is completed, and obtaining a trained energy distribution model.

[0039] It should be noted that before inputting, the total energy consumption needs to be properly normalized so that the model can better accept these 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 proportion through the maximum and minimum normalization method. The actual energy consumption calculated by the model based on the total energy consumption input will be 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 based on the comparison results. For example, if the difference between the two is large, it indicates that the equipment has a fault, the cutting parameters are inappropriate, or the material properties are not fully considered. 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 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 related cutting parameters. The model is continuously trained through reports so that the model can adapt to actual needs and continue to improve.

[0040] In step S18, an allocation strategy is calculated according to the actual energy consumption and the operating time to obtain an energy-saving allocation strategy corresponding to each cutting power allocation module.

[0041] In one implementation, a target cutting thickness and a target cutting length are obtained; a first energy consumption coefficient is obtained by analysis based on the target cutting thickness; a second energy consumption coefficient is obtained by analysis based on the target cutting length; an energy loss ratio is obtained by calculation based on the first energy consumption coefficient, the second energy consumption coefficient, the actual energy consumption and the operating time; and an energy loss ratio is obtained by allocation based on the energy loss ratio to obtain an energy-saving allocation strategy corresponding to each cutting power allocation module.

[0042] In one implementation, the rated working width of the laser cutting equipment is obtained; the rated working width is analyzed to obtain the working width parameter of the laser cutting equipment; the working width parameter is input into an energy consumption benchmark coefficient correction database for query to obtain a first energy consumption coefficient; wherein the energy consumption benchmark coefficient correction database is a database pre-stored in the system.

[0043] It should be noted that the target cutting thickness refers to the thickness of the material to be cut during the laser cutting process. The cutting process requirements and energy consumption characteristics of materials of 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. Complex paths will lead to increased energy consumption, so it is necessary to analyze the path characteristics. The longer the cutting path length, the longer the time required for cutting. 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, the energy loss ratio can be calculated in combination with the actual energy consumption and the running time. According to the obtained energy loss ratio, it is used to calculate the energy-saving strategy of the cutting power distribution module. In the specific implementation steps, a benchmark energy consumption standard is determined. The benchmark can be established based on historical data. According to the energy loss ratio, the working state of each cutting power distribution module is dynamically adjusted. For example, when the energy loss ratio is high, you can consider reducing the working power of some modules; under the premise of ensuring the cutting quality, use the energy-saving allocation strategy to improve the cutting path and cutting sequence to reduce unnecessary energy consumption, and feed the energy consumption data obtained in actual operation back to the system so as to continuously update the energy consumption coefficient and energy-saving allocation strategy to form a good closed-loop management system.

[0044] The rated working width of the laser cutting equipment refers to the maximum width that the equipment can handle when 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 increased energy consumption. For example, if the width is too large, multiple retrace cuts are required, resulting in unnecessary energy consumption. The cutting width can be reasonably selected according to the actual cutting task requirements, which can 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.

[0045] In step S19, a cutting operation of the target cutting workpiece is performed according to the energy-saving allocation strategy.

[0046] Before performing the cutting operation, ensure that the laser cutting machine is in normal working condition, including the laser source, optical path system, cooling system, etc., all of which are fully checked and maintained. According to the type and thickness of the target cutting workpiece, prepare the corresponding cutting materials, and confirm that there are no obvious defects on the surface of the material, such as rust, dirt, etc. According to the energy-saving allocation strategy formulated in step S18, the energy-saving allocation strategy is input into the laser cutting control system. During the cutting process, multiple aspects need to be monitored and adjusted in real time. Through the built-in sensors of the equipment or external monitoring tools, the energy consumption data of each cutting is recorded in real time, and compared with the preset energy consumption benchmark. The quality of the cutting edge, such as smoothness, slit width, etc., is regularly checked to ensure that it meets the technical requirements. If an abnormality is found, the cutting parameters are adjusted in time. If the real-time monitoring data shows that the energy consumption exceeds expectations, the system can automatically adjust the cutting power according to the energy-saving allocation strategy to reduce energy consumption; conversely, if the energy consumption is lower than the set value, the power can be increased to speed up the cutting speed.

[0047] In order to facilitate the understanding of the present invention, some preferred embodiments of the present invention are further described below.

[0048] The following describes the working process of the present invention using a common scenario as an example. Figure 2 , which is Figure 1 Schematic diagram of the working scenario of the method.

[0049] After receiving an order from a customer, a company that produces metal parts uses CAD software to design the target workpiece and extract the required cutting data, including material type, thickness, shape, and cutting path. According to the target cutting data, analysis is performed to confirm two cutting modes: The first cutting mode: suitable for high-speed, large-scale production, emphasizing efficiency. The second cutting mode: emphasizes cutting quality and is suitable for small-batch production with high precision requirements.

[0050] For the first cutting mode, the system algorithm is used to distribute energy for each cutting power distribution module of the laser cutting equipment to obtain the theoretical energy. For example, the energy required to cut 5mm thick stainless steel at high power is 1500J. For the second cutting mode, the energy distribution is also performed to obtain the corrected energy. For example, in the case of optimizing the cutting quality, 1750J may be required. Adding the theoretical energy and the corrected energy, the total energy consumption is 3250J.

[0051] According to the cutting speed of the machine (for example, cutting a path of 1 meter per minute), the running time of the entire cutting operation is calculated, such as 20 minutes. The total energy consumption is input into the pre-trained energy allocation model for analysis, and the results show that the actual energy consumption is 3400J. Based on the actual energy consumption and running time, the energy-saving allocation strategy of each cutting power allocation 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 laser cutting equipment performs the cutting operation of the target workpiece according to the energy-saving allocation strategy. The equipment monitors energy consumption in real time and adjusts the power to ensure that 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.

[0052] In summary, the present invention discloses an energy-saving control method based on laser cutting equipment, including obtaining target cutting data; analyzing according to the target cutting data to obtain a first cutting mode and a second cutting mode; distributing energy to each cutting power distribution module of the laser cutting equipment according to the first cutting mode to obtain theoretical energy; distributing energy to each cutting power distribution module of the laser cutting equipment 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 operating time according to the total energy consumption to obtain the operating time; 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 operating time to obtain the energy-saving distribution strategy corresponding to each cutting power distribution module; and performing the cutting operation of the target cutting workpiece according to the energy-saving distribution strategy. Compared with the prior art, the input total energy is often directly distributed to each module, and fixed power and time parameters are selected for laser cutting operations according to the preset cutting mode.

[0053] The present invention establishes an energy distribution model for laser cutting equipment, comprehensively analyzes the energy consumption of laser cutting equipment, determines the operating time 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, thereby reducing the energy waste problem in the cutting process while ensuring the cutting quality. Therefore, the present invention can solve the problem that the prior art does not fully consider the impact of different cutting modes on energy efficiency, cannot perform fine energy distribution and adjustment according to specific cutting requirements, and leads to unnecessary energy waste.

[0054] Reference Figure 3 The second embodiment of the present invention provides an energy-saving control device based on laser cutting equipment, comprising: 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 operating 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.

[0055] It should be noted that an energy-saving control device based on laser cutting equipment provided in an embodiment of the present invention is used to execute all process steps of an energy-saving control method based on laser cutting equipment in the above embodiment. The working principles and beneficial effects of the two correspond one to one, and therefore will not be repeated here.

[0056] The 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-mentioned energy-saving control method for laser cutting equipment are implemented, such as Figure 1 Alternatively, when the processor executes the computer program, the functions of each module / unit in the above-mentioned device embodiments are realized, such as the energy consumption acquisition module.

[0057] Exemplarily, the computer program may be divided into one or more modules / units, which 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 implementing specific functions, which are used to describe the execution process of the computer program in the electronic device.

[0058] The electronic device may be a computing device such as a desktop computer, a notebook, a PDA, and a smart tablet. The electronic device may include, but is not limited to, a processor and a memory. Those skilled in the art will appreciate that the above components are merely examples of electronic devices and do not constitute a limitation on the electronic device. The electronic device may include more or fewer components than the above components, or may combine certain components, or different components. For example, the electronic device may also include input and output devices, network access devices, buses, etc.

[0059] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the electronic device, and uses various interfaces and lines to connect various parts of the entire electronic device.

[0060] The memory can be used to store the computer program and / or module, and the processor realizes various functions of the electronic device by running or executing the computer program and / or module stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0061] Wherein, if the module / unit integrated in the electronic device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and 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, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained 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, computer-readable media do not include electric carrier signals and telecommunication signals.

[0062] It should be noted that the device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the accompanying drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art may understand and implement it without paying any creative effort.

[0063] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection 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; The cutting operation of the target cutting workpiece is performed according to the energy-saving allocation strategy.

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 allocation strategy is calculated according to the actual energy consumption and the operation time to obtain the energy-saving allocation strategy corresponding to each cutting power allocation module, 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.

7. The energy-saving control method based on laser cutting equipment according to claim 6 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.

8. An energy-saving control device based on laser cutting equipment, characterized in that: include: 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.

9. 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 7.

10. 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 7.

Images