Steep pulse perforation ablation sudden stop energy release control system and method

Abstract

The invention discloses a steep pulse perforation ablation sudden stop energy release control system and method, and relates to the technical field of perforation manufacturing, the system calculates and obtains an energy release control index Snkz through a comprehensive energy release analysis module by calculating an energy diffusivity Ks and a heat affected zone area Ry and combining a perforation temperature Ckwd; and the diffusion behavior of heat in the material and the temperature change trend are predicted. The system sets a pulse frequency threshold F2, and generates an optimized energy release strategy through comparison and evaluation with an energy release control index Snkz. When the energy release control index Snkz exceeds the pulse frequency threshold F2, the system reduces and adjusts the pulse energy E and the pulse frequency f, reduces the heat output and prevents the material from being overheated; when the energy release control index Snkz is lower than the pulse frequency threshold F2, the system properly increases the pulse energy E and the pulse frequency f, the machining efficiency is improved, and the system can maximize the machining efficiency and the heat control effect on the premise of ensuring safety.

Description

Technical Field

[0001] The present invention relates to the field of perforation manufacturing technology, and specifically to a steep pulse perforation ablation emergency stop energy release control system and method. Background Art

[0002] Steep pulse perforation ablation emergency stop energy release control system belongs to the field of manufacturing technology, which covers everything from traditional metal processing to modern high-end manufacturing processes, with engine manufacturing being a key application. In these applications, the implementation of micro-hole processing technology is crucial, mainly used to improve the performance and efficiency of key components such as turbine blades. In order to achieve precise material removal, pulse perforation technology, as an innovative method, uses high-frequency, high-energy laser pulses to quickly and accurately punch holes in materials, meeting the requirements of modern engineering for complex geometries and strict tolerances.

[0003] Although pulse perforation technology has been widely used in high-precision manufacturing at this stage, it still faces many challenges in the actual processing process. One of the most prominent problems is the overheating of the material caused by heat accumulation, which leads to a decrease in processing accuracy or even material damage. Traditional control systems usually rely on fixed processing parameters and lack the ability to monitor and dynamically adjust the processing process in real time. Therefore, when too much heat accumulates, the existing system often cannot respond in time, which may cause micropore deformation or excessive heat-affected zone, thereby affecting the quality of the final product. In addition, the existing control schemes are also insufficient in the management of safety risks, and fail to effectively prevent sudden failures that may occur during the processing process, increasing the risk of equipment damage. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a steep pulse perforation ablation emergency stop energy release control system and method, which solves the problems mentioned in the background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: including a data acquisition module, a data processing module, a preliminary emergency stop judgment module, a comprehensive energy release analysis module and an energy release control module; The data acquisition module is used to install an integrated sensor group around the micro-hole processing of the engine turbine blade and on the pulse generator to collect material processing data and pulse data in real time; The data processing module is used to upload the collected processing data and pulse data to the cloud platform for storage by wireless transmission, and to pre-process the processing data and pulse data; The preliminary emergency stop judgment module is used to construct an algorithm to calculate and obtain the cumulative total heat Rl and the temperature change rate △T based on the pre-processed processing data and pulse data, and to calculate and obtain the perforation temperature Ckwd in a related manner, and then preset the safety threshold F1 for comparison and evaluation to determine the triggering of the emergency stop strategy; The comprehensive energy release analysis module is used to calculate the energy diffusion rate Ks and the heat affected zone area Ry based on the pre-processed processing data and pulse data, and calculate the energy release control index Snkz in combination with the perforation temperature Ckwd; The energy release control module is used to compare and evaluate the preset pulse frequency threshold F2 with the acquired energy release control index Snkz, analyze the pulse energy and frequency conditions, and generate an energy release strategy.

[0006] Preferably, the data acquisition module includes a processing data acquisition unit and a pulse data acquisition unit; The processing data acquisition unit collects material processing data of the turbine blade in the micro-hole processing process in real time by installing a first integrated sensor group around the micro-hole processing of the engine turbine blade. The first integrated sensor group includes a thermal conductivity tester, a laser thickness gauge, a thermal diffusion coefficient tester, a differential thermal measurement instrument and a high-temperature melting point tester. The material processing data includes material thermal conductivity K, material thickness d, thermal diffusion coefficient , heat capacity C and melting point temperature Tm; The pulse data acquisition unit is used to install a second integrated sensor group inside the pulse perforating equipment to collect pulse data of the perforating pulse equipment in real time during the micro-hole processing of turbine blades. The second integrated sensor group includes a pulse frequency meter and a laser energy meter, and the pulse data includes pulse frequency f and pulse energy E.

[0007] Preferably, the data processing module includes a data transmission unit, a cloud platform storage unit and a data preprocessing unit; The data transmission unit converts the analog model into a digital model by installing a built-in analog-to-digital converter ADC in the integrated sensor, and packages the material processing data and the pulse data through a protocol, and then connects to a local gateway through a WI-FI wireless communication protocol. The local gateway transmits the packaged material processing data and pulse data to the cloud platform in real time through the Internet; The cloud platform storage unit constructs a cloud platform database by using the big data technology NoSQL, and stores the received material processing data and pulse data in real time. The cloud platform uses machine learning algorithms and big data analysis tools to process and analyze real-time data, extract useful information and generate corresponding control instructions. The analysis results are sent back to the local control system through the cloud platform to adjust equipment parameters and issue emergency shutdown instructions; The data preprocessing unit is used to use Kalman digital filtering technology to remove noise and interference from the material processing data and pulse data stored in the cloud platform database, and then use median filtering to eliminate instantaneous abnormal data points, and correct measurement errors and equipment deviations through equipment calibration data.

[0008] Preferably, the preliminary emergency stop judgment module includes a heat accumulation calculation unit, a temperature change calculation unit and an emergency stop control unit; The heat accumulation calculation unit is used to construct a heat accumulation algorithm, and substitute the pre-processed pulse data into it to calculate and obtain the total accumulated heat Rl, and predict the heat accumulation within a unit time t; The temperature change calculation unit is used to construct a heat change algorithm, combine the preprocessed material processing data with the accumulated total heat Rl, calculate the temperature change rate △T, analyze the thermal conduction response of the material during the micro-hole processing of the engine turbine blade, and reflect the influence of time on temperature change.

[0009] Preferably, the emergency stop control unit includes a perforation temperature calculation unit and an emergency stop evaluation unit; The perforation temperature calculation unit is used to perform dimensionless processing on the acquired cumulative total heat Rl and temperature change rate △T, and then combine the influence of temperature change to obtain the perforation temperature Ckwd through correlation and summary calculation, so as to predict the temperature change of the engine turbine blade material caused by pulse energy input during the micro-hole processing process.

[0010] Preferably, the emergency stop evaluation unit presets a safety threshold F1 according to material characteristics and process requirements, and then compares and evaluates it with the obtained perforation temperature Ckwd, and executes an emergency stop strategy according to the evaluation result; The specific evaluation plan is as follows: When the perforation temperature Ckwd (t) ≥ the safety threshold F1, it means that the engine turbine blade material is overheated during the current micro-hole processing. At this time, the emergency stop strategy is executed, and the control command is sent to the pulse device through the cloud platform to immediately stop the pulse energy input, and start the cooling system for cooling treatment, and at the same time, the energy release control strategy is executed; When the perforation temperature Ckwd (t) is less than the safety threshold F1, it indicates that during the current micro-hole processing, the processing parameters are safe to continue the processing.

[0011] Preferably, the comprehensive energy release analysis module includes an energy diffusion prediction unit, a heat affected area prediction unit and a comprehensive energy release calculation unit; The energy diffusion prediction unit is used to construct an energy diffusion prediction algorithm, and correlate and combine the acquired material processing data and pulse data to calculate and obtain the energy diffusion rate Ks, analyze the diffusion behavior of heat in the material, and predict the temperature change trend over time; The heat affected zone prediction unit constructs a heat affected zone prediction algorithm, substitutes the acquired pulse data, calculates and obtains the heat affected zone area Ry, determines the heat affected zone area, and predicts the size of the local heat affected zone.

[0012] Preferably, the comprehensive energy release calculation unit is used to calculate and obtain the energy release control index Snkz based on the obtained energy diffusion rate Ks and heat affected zone area Ry, in combination with the perforation temperature Ckwd.

[0013] Preferably, the energy release control module performs mean processing based on the pulse punching frequency of historical normal operation, sets the pulse frequency threshold F2, and then compares and evaluates it with the acquired energy release control index Snkz(t), and executes the energy release control strategy according to the evaluation result; The specific evaluation contents are as follows: When the energy release control index Snkz(t)>pulse frequency threshold F2, the first energy release control scheme is executed to adjust the pulse energy E and pulse frequency f, optimize the heat output of the pulse device, reduce the pulse energy E and pulse frequency f, and reduce the heat output; When the energy release control index Snkz (t) = the pulse frequency threshold F2, there is no need to perform energy release control and the current heat output continues to be maintained; When the energy release control index Snkz (t) is less than the pulse frequency threshold F2, the second energy release control scheme is executed. Compared with the first energy release control scheme, the pulse energy E and pulse frequency f are adjusted in the opposite direction to optimize the heat output of the pulse equipment, appropriately increase the pulse energy and frequency, and improve the processing efficiency.

[0014] A steep pulse perforation ablation emergency stop energy release control method comprises the following steps: S1. First, an integrated sensor group is installed around the micro-hole processing of the engine turbine blade and on the pulse generator to collect material processing data and pulse data in real time; S2. Upload the collected processing data and pulse data to the cloud platform for storage by wireless transmission, and pre-process the processing data and pulse data; S3. Based on the pre-processed processing data and pulse data, an algorithm is constructed to calculate the cumulative total heat Rl and the temperature change rate △T, and the perforation temperature Ckwd is obtained by correlation calculation. Then, a safety threshold F1 is preset for comparison and evaluation to determine the triggering of the emergency stop strategy; S4. Based on the pre-processed processing data and pulse data, the energy diffusion rate Ks and the heat affected zone area Ry are calculated and obtained, and combined with the piercing temperature Ckwd, the energy release control index Snkz is calculated and obtained; S5. Finally, the preset pulse frequency threshold F2 is compared and evaluated with the obtained energy release control index Snkz, the pulse energy and frequency conditions are analyzed, and an energy release strategy is generated.

[0015] The present invention provides a steep pulse perforation ablation emergency stop energy release control system and method. It has the following beneficial effects: (1) The system realizes comprehensive real-time monitoring of the micro-hole machining process of engine turbine blades through the data acquisition module and the data processing module. The data acquisition module includes a processing data acquisition unit and a pulse data acquisition unit, which can collect material processing data and pulse data in real time through an integrated sensor group, and upload them to the cloud platform for storage and pre-processing through wireless transmission. The data processing module uses Kalman filtering technology to remove noise and interference, and eliminates instantaneous abnormal data points through median filtering. At the same time, it combines equipment calibration data to correct measurement errors and equipment deviations to ensure data accuracy and real-time performance.

[0016] (2) The system can calculate the total accumulated heat Rl and the temperature change rate △T in real time through the preliminary emergency stop judgment module by constructing a heat accumulation algorithm and a temperature change algorithm, and obtain the perforation temperature Ckwd in combination with dimensionless processing. Then, a preliminary comparative evaluation is performed with the system preset safety threshold F1 to promptly determine whether to trigger the emergency stop strategy. When the perforation temperature Ckwd exceeds the safety threshold F1, the system quickly executes the emergency stop strategy, stops the pulse energy input, and starts the cooling system for cooling treatment, thereby preventing the material from being damaged due to overheating. This mechanism significantly improves the safety of the processing process, reduces the risk of material loss and equipment failure, and ensures the high quality and high precision of micro-hole processing.

[0017] (3) The system uses the comprehensive energy release analysis module to calculate the energy diffusion rate Ks and the heat affected zone area Ry, and combines the perforation temperature Ckwd to calculate the energy release control index Snkz, and predict the heat diffusion behavior and temperature change trend in the material. The system sets the pulse frequency threshold F2, and generates an optimized energy release strategy by comparing and evaluating it with the energy release control index Snkz. When the energy release control index Snkz exceeds the pulse frequency threshold F2, the system adjusts the pulse energy E and pulse frequency f to reduce heat output and prevent material overheating; when the energy release control index Snkz is lower than the pulse frequency threshold F2, the system appropriately increases the pulse energy and frequency to improve processing efficiency. Through this mechanism, the system can maximize processing efficiency and heat control effects while ensuring safety, thereby improving overall production benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of a steep pulse perforation ablation emergency stop energy release control system of the present invention; Figure 2 The present invention is a schematic diagram of the steps of a steep pulse perforation ablation emergency stop energy release control method. DETAILED DESCRIPTION

[0019] 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. Example 1

[0020] See also Figure 1 , the present invention provides a steep pulse perforating ablation emergency stop energy release control system. To achieve the above purpose, the present invention is implemented through the following technical solutions: including a data acquisition module, a data processing module, a preliminary emergency stop judgment module, a comprehensive energy release analysis module and an energy release control module; The data acquisition module is used to install an integrated sensor group around the micro-hole processing of the engine turbine blade and on the pulse generator to collect material processing data and pulse data in real time; The data processing module is used to upload the collected processing data and pulse data to the cloud platform for storage through wireless transmission, and to pre-process the processing data and pulse data; The preliminary emergency stop judgment module is used to construct an algorithm formula to calculate the cumulative total heat Rl and the temperature change rate △T based on the pre-processed processing data and pulse data, and to calculate the perforation temperature Ckwd in a related manner, and then compare and evaluate the preset safety threshold F1 to determine the triggering of the emergency stop strategy; The comprehensive energy release analysis module is used to calculate the energy diffusion rate Ks and the heat affected zone area Ry based on the pre-processed processing data and pulse data, and calculate the energy release control index Snkz in combination with the piercing temperature Ckwd; The energy release control module is used to compare and evaluate the preset pulse frequency threshold F2 with the obtained energy release control index Snkz, analyze the pulse energy and frequency conditions, and generate an energy release strategy.

[0021] In this embodiment, the system installs an integrated sensor group on the processing equipment and the pulse generator through the data acquisition module, collects material processing data and pulse data in real time, and uploads them to the cloud platform for storage and preprocessing through wireless transmission. This process ensures the real-time and accuracy of the data, and provides reliable data support for subsequent judgment and control. Then, through the preliminary emergency stop judgment module, the system can construct an algorithm formula based on the preprocessed data, calculate the cumulative total heat Rl and the temperature change rate △T, and further calculate the perforation temperature Ckwd. And compare and evaluate with the preset safety threshold F1, the system can judge in real time whether to trigger the emergency stop strategy to ensure the safety of the processing process. This mechanism effectively prevents the problem of material overheating caused by heat accumulation and improves the safety and reliability of the micro-hole processing process. The comprehensive energy release analysis module calculates the energy diffusion rate Ks and the heat affected zone area Ry, and combines the perforation temperature Ckwd to generate the energy release control index Snkz, which provides a decision-making basis for the energy release control module. The energy release control module optimizes the pulse energy and frequency by comparing the energy release control index Snkz with the preset pulse frequency threshold F2, thereby generating an effective energy release strategy. Compared with traditional technologies, this system has higher precision and flexibility in heat management and energy release, significantly improving processing efficiency and finished product quality, while reducing equipment loss and failure risks, thereby achieving the goal of improving overall production efficiency. Example 2

[0022] This embodiment is explained in Example 1, please refer to Figure 1 ,Specifically: the data acquisition module includes a processing data acquisition unit and a pulse data acquisition unit; The processing data acquisition unit collects the material processing data of the turbine blade in the micro-hole processing process in real time by installing the first integrated sensor group around the micro-hole processing of the engine turbine blade. The first integrated sensor group includes a thermal conductivity tester, a laser thickness gauge, a thermal diffusion coefficient tester, a differential thermal measurement instrument and a high-temperature melting point tester. The material processing data includes material thermal conductivity K, material thickness d, thermal diffusion coefficient , heat capacity C and melting point temperature Tm; The pulse data acquisition unit is used to install a second integrated sensor group inside the pulse perforating equipment to collect pulse data of the perforating pulse equipment during the micro-hole processing of turbine blades in real time. The second integrated sensor group includes a pulse frequency meter and a laser energy meter. The pulse data includes pulse frequency f and pulse energy E.

[0023] In this embodiment, the system collects key data in the micro-hole processing process in real time through the processing data acquisition unit and the pulse data acquisition unit through the integrated sensor group, providing comprehensive data support for the micro-hole processing of turbine blades. The processing data acquisition unit is installed around the processing area, and uses sensors such as thermal conductivity tester, laser thickness meter, thermal diffusion coefficient tester, differential thermal meter and high temperature melting point tester to collect the thermal conductivity K, thickness d, thermal diffusion coefficient, heat capacity C and melting point temperature Tm of the material in real time. The real-time collection and analysis of these data helps to accurately control the thermodynamic changes of the material during the processing process, and provides a solid foundation for optimizing processing parameters and improving product quality. The pulse data acquisition unit is installed inside the pulse perforation equipment, and the pulse frequency f and pulse energy E are collected in real time through the pulse frequency meter and laser energy meter. The collection of these data enables the system to monitor the input of pulse energy in real time and accurately control the heat management during the perforation process. Through the integrated application of these two modules, the system can obtain and process key data in the micro-hole processing process in real time, optimize processing parameters, and improve processing quality. Compared with existing technologies, this system has significant advantages in the comprehensiveness and real-time nature of data collection, improves the safety and stability of the processing process, significantly improves overall production efficiency and product quality, and reduces equipment loss and failure risks. Example 3

[0024] This embodiment is explained in Example 2. Please refer to Figure 1 ,Specifically: the data processing module includes a data transmission unit, a cloud platform storage unit and a data pre-processing unit; The data transmission unit converts the analog model into a digital model by installing a built-in analog-to-digital converter ADC in the integrated sensor, and packages the material processing data and pulse data through the protocol, and then connects to the local gateway through the WI-FI wireless communication protocol. The local gateway transmits the packaged material processing data and pulse data to the cloud platform in real time through the Internet; The cloud platform storage unit builds a cloud platform database by using the big data technology NoSQL, and stores the received material processing data and pulse data in real time. The cloud platform uses machine learning algorithms and big data analysis tools to process and analyze real-time data, extract useful information and generate corresponding control instructions. The analysis results are sent back to the local control system through the cloud platform to adjust equipment parameters and issue emergency shutdown instructions; The data preprocessing unit is used to remove noise and interference from the material processing data and pulse data stored in the cloud platform database using Kalman digital filtering technology, and then use median filtering to eliminate instantaneous abnormal data points. Through equipment calibration data, measurement errors and equipment deviations are corrected.

[0025] In this embodiment, the system uses the built-in analog-to-digital converter ADC through the data transmission unit to convert the collected material processing data and pulse data into digital signals, and transmits them to the cloud platform through the WI-FI wireless communication protocol. This real-time and stable data transmission method ensures the continuity and integrity of the processing data and eliminates the problems of data loss and transmission delay. The cloud platform storage unit adopts NoSQL database technology, combined with big data analysis and machine learning algorithms, to efficiently store and process the transmitted real-time data. By analyzing the processing data and pulse data in real time, the cloud platform can quickly extract useful information and generate corresponding control instructions, thereby optimizing equipment parameters and improving processing accuracy. At the same time, the real-time monitoring and analysis capabilities of the cloud platform enable the system to detect abnormal situations in time, issue emergency shutdown instructions, and avoid equipment failures and safety hazards. The data preprocessing unit removes noise and interference and eliminates instantaneous abnormal data points through Kalman digital filtering and median filtering technology, further improving the accuracy and reliability of the data. Through equipment calibration data, measurement errors and equipment deviations are corrected to ensure high data accuracy. Compared with traditional technologies, the application of this module significantly improves the real-time and accuracy of data processing, enabling the system to maintain efficient and stable operation in complex processing environments, significantly improving overall production efficiency and product quality, and reducing equipment maintenance costs. Example 4

[0026] This embodiment is explained in Example 3, please refer to Figure 1 ,Specifically: the preliminary emergency stop judgment module includes a heat accumulation calculation unit, a temperature change calculation unit and an emergency stop control unit; The heat accumulation calculation unit is used to construct a heat accumulation algorithm formula, and substitute the pre-processed pulse data into it to calculate and obtain the total accumulated heat Rl, and predict the heat accumulation within a unit time t; The total accumulated heat Rl is calculated using the following heat accumulation formula: ; In the formula, Represents the system efficiency factor, which is used to consider the time energy conversion efficiency; The temperature change calculation unit is used to construct a heat change algorithm formula, combine the pre-processed material processing data with the accumulated total heat Rl, and calculate the temperature change rate △T, analyze the thermal conduction response of the material during the micro-hole processing of the engine turbine blade, and reflect the influence of time on temperature change; The temperature change rate △T is obtained by the following algorithm formula: ; Wherein, m represents the mass of the material, k represents the thermal conductivity of the material, and e represents the first exponential function.

[0027] The emergency stop control unit includes a perforation temperature calculation unit and an emergency stop evaluation unit; The perforation temperature calculation unit is used to process the accumulated total heat Rl and the temperature change rate △T dimensionlessly, and then combine the influence of temperature change to calculate and obtain the perforation temperature Ckwd, so as to predict the temperature change of the engine turbine blade material caused by the pulse energy input during the micro-hole processing; The perforation temperature Ckwd is calculated by the following algorithm formula; ; In the formula, T0 represents the initial temperature, which is the reference value of the temperature change of the engine turbine blade material during the micro-hole processing process, Ckwd (t) represents the perforation temperature at time t, It represents the exponential decay term, which indicates the process of heat diffusion and decay in the material over time, and reflects the thermal diffusion characteristics of the material. At the initial moment, the exponential decay term is close to 1, and the temperature change ΔT is close to the maximum value. As time t increases, the exponential decay term approaches zero, and the temperature change tends to be stable.

[0028] The emergency stop evaluation unit presets the safety threshold F1 based on the material characteristics and process requirements, and then compares and evaluates it with the obtained perforation temperature Ckwd, and executes the emergency stop strategy based on the evaluation results; The specific evaluation plan is as follows: When the perforation temperature Ckwd (t) ≥ the safety threshold F1, it means that the engine turbine blade material is overheated during the current micro-hole processing. At this time, the emergency stop strategy is executed, and the control command is sent to the pulse device through the cloud platform to immediately stop the pulse energy input, and start the cooling system for cooling treatment, and at the same time, the energy release control strategy is executed; When the perforation temperature Ckwd (t) is less than the safety threshold F1, it indicates that the processing parameters are safe to continue the processing during the current micro-hole processing.

[0029] In this embodiment, the system accurately calculates the total accumulated heat Rl by constructing a heat accumulation algorithm formula through the heat accumulation calculation unit, thereby predicting the heat accumulation in unit time and ensuring the accurate grasp of the heat change during the processing. The temperature change calculation unit combines the material processing data and the accumulated total heat to calculate the temperature change rate △T, thereby analyzing the thermal conduction response of the material in micro-hole processing, which is crucial for real-time understanding of temperature changes and material status. The emergency stop control unit further combines the accumulated total heat Rl and the temperature change rate △T to calculate the perforation temperature Ckwd, and compares it with the preset safety threshold F1 to evaluate the safety of the current processing state. If the perforation temperature exceeds the safety threshold F1, the system immediately executes the emergency stop strategy, stops the pulse energy input and starts the cooling system, effectively preventing the risk of material overheating and equipment damage. This module greatly improves the safety and reliability of the system through precise temperature monitoring and rapid emergency stop response. Compared with traditional technical means, this module realizes comprehensive monitoring and dynamic adjustment of the micro-hole processing process through refined data calculation and real-time evaluation. Traditional technologies often rely on the operator's experience and regular inspections, making it difficult to achieve real-time, accurate temperature control and emergency stop response. The preliminary emergency stop judgment module uses automated, intelligent algorithms and real-time data processing to not only improve the safety and stability of the processing process, but also significantly improve production efficiency and product quality, and reduce downtime and maintenance costs caused by equipment failures. Example 5

[0030] This embodiment is explained in Example 4. Please refer to Figure 1 ,Specifically: the comprehensive energy release analysis module includes an energy diffusion prediction unit, a heat affected area prediction unit and a comprehensive energy release calculation unit; The energy diffusion prediction unit is used to construct the energy diffusion prediction algorithm formula, and correlate the acquired material processing data and pulse data to calculate and obtain the energy diffusion rate Ks, analyze the diffusion behavior of heat in the material, and predict the temperature change trend over time; The heat affected zone prediction unit constructs a heat affected zone prediction algorithm formula, substitutes the acquired pulse data into it, calculates and obtains the heat affected zone area Ry, determines the heat affected zone area, and predicts the size of the local heat affected zone; The energy diffusion rate Ks and the heat affected zone area Ry are calculated by the following algorithm formula; ; ; In the formula, represents the Laplace operator of temperature, represents the spatial second-order derivative of temperature, represents the time constant, and e represents the second exponential function; D represents the perforation diameter, which is obtained through process parameter setting and actual measurement, and π represents pi.

[0031] The comprehensive energy release calculation unit is used to calculate the energy release control index Snkz based on the obtained energy diffusion rate Ks and heat affected zone area Ry, combined with the perforation temperature Ckwd; The energy release control index Snkz is calculated and obtained by the following algorithm formula; ; Where Snkz(t) is the energy release control index predicted for the time period t, and represents the energy value output by the pulse device in the time period t.

[0032] In this embodiment, the system combines the material processing data and the pulse data through the energy diffusion prediction unit to calculate the energy diffusion rate Ks, accurately predicting the diffusion behavior of heat in the material and the temperature change trend over time. This process can help identify potential thermal damage areas, optimize processing parameters, and ensure processing quality. The heat-affected zone prediction unit calculates the heat-affected zone area Ry by constructing the heat-affected zone prediction algorithm formula to determine the size of the local heat-affected zone. This function is crucial for predicting and controlling the heat-affected zone, helping to reduce structural damage caused by overheating of materials and improve processing accuracy and product quality. The comprehensive energy release calculation unit calculates the energy release control index Snkz through the energy diffusion rate Ks and the heat-affected zone area Ry, combined with the perforation temperature Ckwd. This index provides a comprehensive energy control reference for the system, enabling the pulse device to adjust energy according to actual conditions and optimize the energy release strategy. Compared with traditional technical means, this module realizes real-time monitoring and dynamic control of heat diffusion and heat-affected zone through detailed data analysis and intelligent algorithms. Traditional methods often rely on experience and simple measurement methods, and it is difficult to achieve accurate prediction and control of heat diffusion. The comprehensive energy release analysis module, through the application of big data and intelligent algorithms, achieves high-precision prediction and control of heat diffusion and heat-affected areas, effectively improving the safety and stability of the processing process, reducing thermal damage, and improving product quality and processing efficiency. Example 6

[0033] This embodiment is explained in Example 5. Please refer to Figure 1 ,Specifically: the energy release control module performs average processing based on the pulse punching frequency of historical normal operation, sets the pulse frequency threshold F2, and then compares and evaluates it with the obtained energy release control index Snkz (t), and executes the energy release control strategy according to the evaluation result; The specific evaluation contents are as follows: When the energy release control index Snkz(t)>pulse frequency threshold F2, the first energy release control scheme is executed to adjust the pulse energy E and pulse frequency f, optimize the heat output of the pulse device, reduce the pulse energy E and pulse frequency f, and reduce the heat output; When the energy release control index Snkz (t) = the pulse frequency threshold F2, there is no need to perform energy release control and the current heat output continues to be maintained; When the energy release control index Snkz (t) is less than the pulse frequency threshold F2, the second energy release control scheme is executed. Compared with the first energy release control scheme, the pulse energy E and pulse frequency f are adjusted in the opposite direction to optimize the heat output of the pulse equipment, appropriately increase the pulse energy and frequency, and improve the processing efficiency.

[0034] In this embodiment, the system realizes dynamic heat output regulation of the pulse device by averaging the pulse frequency based on historical normal operation through the energy release control module, setting the pulse frequency threshold F2, and comparing and evaluating with the energy release control index Snkz. When the energy release control index Snkz is higher than the pulse frequency threshold F2, the system executes the first energy release control scheme, adjusts the pulse energy E and frequency f, reduces the heat output, thereby avoiding overheating of the material and protecting the workpiece. When the energy release control index Snkz is equal to the pulse frequency threshold F2, the system maintains the current heat output to ensure stable processing. When the energy release control index Snkz is lower than the pulse frequency threshold F2, the system executes the second energy release control scheme to increase the pulse energy and frequency to improve the processing efficiency. This module realizes intelligent regulation of the energy output of the pulse device and ensures the stability and safety of the processing process. The energy release control module realizes real-time control and optimization of the processing process by intelligently adjusting the heat output of the pulse device. Compared with traditional technologies, this module improves processing efficiency and product quality while ensuring processing safety and stability. By dynamically adjusting the pulse energy and frequency, the system can adapt to different processing requirements, provide higher processing accuracy and efficiency, and significantly improve the overall performance and application value of pulse processing technology. Example 7

[0035] See also Figure 1 and Figure 2 , a steep pulse perforation ablation emergency stop energy release control method, comprising the following steps: S1. First, an integrated sensor group is installed around the micro-hole processing of the engine turbine blade and on the pulse generator to collect material processing data and pulse data in real time; S2. Upload the collected processing data and pulse data to the cloud platform for storage by wireless transmission, and pre-process the processing data and pulse data; S3. Based on the pre-processed processing data and pulse data, an algorithm formula is constructed to calculate the cumulative total heat Rl and the temperature change rate △T, and the perforation temperature Ckwd is obtained by correlation calculation. Then, a safety threshold F1 is preset for comparison and evaluation to determine the triggering of the emergency stop strategy; S4. Based on the pre-processed processing data and pulse data, the energy diffusion rate Ks and the heat affected zone area Ry are calculated and obtained, and combined with the piercing temperature Ckwd, the energy release control index Snkz is calculated and obtained; S5. Finally, the preset pulse frequency threshold F2 is compared and evaluated with the obtained energy release control index Snkz, the pulse energy and frequency conditions are analyzed, and an energy release strategy is generated.

[0036] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A steep pulse perforation ablation emergency stop energy release control system, characterized in that: It includes data acquisition module, data processing module, preliminary emergency stop judgment module, comprehensive energy release analysis module and energy release control module; The data acquisition module is used to install an integrated sensor group around the micro-hole processing of the engine turbine blade and on the pulse generator to collect material processing data and pulse data in real time; The data processing module is used to upload the collected processing data and pulse data to the cloud platform for storage by wireless transmission, and to pre-process the processing data and pulse data; The preliminary emergency stop judgment module is used to construct an algorithm formula to calculate the cumulative total heat Rl and the temperature change rate △T based on the pre-processed processing data and pulse data, and to calculate the perforation temperature Ckwd in a related manner, and then compare and evaluate the preset safety threshold F1 to determine the triggering of the emergency stop strategy; The comprehensive energy release analysis module is used to calculate the energy diffusion rate Ks and the heat affected zone area Ry based on the pre-processed processing data and pulse data, and calculate the energy release control index Snkz in combination with the perforation temperature Ckwd; The energy release control module is used to compare and evaluate the preset pulse frequency threshold F2 with the acquired energy release control index Snkz, analyze the pulse energy and frequency conditions, and generate an energy release strategy.

2. A steep pulse perforation ablation emergency stop energy release control system according to claim 1, characterized in that: The data acquisition module includes a processing data acquisition unit and a pulse data acquisition unit; The processing data acquisition unit collects material processing data of the turbine blade in the micro-hole processing process in real time by installing a first integrated sensor group around the micro-hole processing of the engine turbine blade. The first integrated sensor group includes a thermal conductivity tester, a laser thickness gauge, a thermal diffusion coefficient tester, a differential thermal measurement instrument and a high-temperature melting point tester. The material processing data includes material thermal conductivity K, material thickness d, thermal diffusion coefficient , heat capacity C and melting point temperature Tm; The pulse data acquisition unit is used to install a second integrated sensor group inside the pulse perforating equipment to collect pulse data of the perforating pulse equipment in real time during the micro-hole processing of turbine blades. The second integrated sensor group includes a pulse frequency meter and a laser energy meter, and the pulse data includes pulse frequency f and pulse energy E.

3. A steep pulse perforation ablation emergency stop energy release control system according to claim 2, characterized in that: The data processing module includes a data transmission unit, a cloud platform storage unit and a data preprocessing unit; The data transmission unit converts the analog model into a digital model by installing a built-in analog-to-digital converter ADC in the integrated sensor, and packages the material processing data and the pulse data through a protocol, and then connects to a local gateway through a WI-FI wireless communication protocol. The local gateway transmits the packaged material processing data and pulse data to the cloud platform in real time through the Internet; The cloud platform storage unit constructs a cloud platform database by using the big data technology NoSQL, and stores the received material processing data and pulse data in real time. The cloud platform uses machine learning algorithms and big data analysis tools to process and analyze real-time data, extract useful information and generate corresponding control instructions. The analysis results are sent back to the local control system through the cloud platform to adjust equipment parameters and issue emergency shutdown instructions; The data preprocessing unit is used to use Kalman digital filtering technology to remove noise and interference from the material processing data and pulse data stored in the cloud platform database, and then use median filtering to eliminate instantaneous abnormal data points, and correct measurement errors and equipment deviations through equipment calibration data.

4. A steep pulse perforation ablation emergency stop energy release control system according to claim 3, characterized in that: The preliminary emergency stop judgment module includes a heat accumulation calculation unit, a temperature change calculation unit and an emergency stop control unit; The heat accumulation calculation unit is used to construct a heat accumulation algorithm, and substitute the pre-processed pulse data into it to calculate and obtain the total accumulated heat Rl, and predict the heat accumulation within a unit time t; The temperature change calculation unit is used to construct a heat change algorithm, combine the preprocessed material processing data with the accumulated total heat Rl, calculate the temperature change rate ΔT, and analyze the thermal conduction response of the material during the micro-hole processing of the engine turbine blade.

5. A steep pulse perforation ablation emergency stop energy release control system according to claim 4, characterized in that: The emergency stop control unit includes a perforation temperature calculation unit and an emergency stop evaluation unit; The perforation temperature calculation unit is used to perform dimensionless processing on the acquired cumulative total heat Rl and temperature change rate △T, and then combine the influence of temperature change to obtain the perforation temperature Ckwd through correlation and summary calculation, so as to predict the temperature change of the engine turbine blade material caused by pulse energy input during the micro-hole processing process.

6. A steep pulse perforation ablation emergency stop energy release control system according to claim 5, characterized in that: The emergency stop evaluation unit presets the safety threshold F1 according to the material characteristics and process requirements, and then compares and evaluates it with the obtained perforation temperature Ckwd, and executes the emergency stop strategy according to the evaluation result; The specific evaluation plan is as follows: When the perforation temperature Ckwd (t) ≥ the safety threshold F1, it means that the engine turbine blade material is overheated during the current micro-hole processing. At this time, the emergency stop strategy is executed, and the control command is sent to the pulse device through the cloud platform to immediately stop the pulse energy input, and start the cooling system for cooling treatment, and at the same time, the energy release control strategy is executed; When the perforation temperature Ckwd (t) is less than the safety threshold F1, it indicates that during the current micro-hole processing, the processing parameters are safe to continue the processing.

7. The steep pulse perforation ablation emergency stop energy release control system according to claim 5, characterized in that: The comprehensive energy release analysis module includes an energy diffusion prediction unit, a heat affected area prediction unit and a comprehensive energy release calculation unit; The energy diffusion prediction unit is used to construct an energy diffusion prediction algorithm, and correlate and combine the acquired material processing data and pulse data to calculate and obtain the energy diffusion rate Ks, analyze the diffusion behavior of heat in the material, and predict the temperature change trend over time; The heat affected zone prediction unit constructs a heat affected zone prediction algorithm, substitutes the acquired pulse data, calculates and obtains the heat affected zone area Ry, determines the heat affected zone area, and predicts the size of the local heat affected zone.

8. The steep pulse perforation ablation emergency stop energy release control system according to claim 7, characterized in that: The comprehensive energy release calculation unit is used to calculate and obtain the energy release control index Snkz based on the obtained energy diffusion rate Ks and heat affected zone area Ry, in combination with the perforation temperature Ckwd.

9. A steep pulse perforation ablation emergency stop energy release control system according to claim 8, characterized in that: The energy release control module performs average processing based on the pulse punching frequency of historical normal operation, sets the pulse frequency threshold F2, and then compares and evaluates it with the obtained energy release control index Snkz (t), and executes the energy release control strategy according to the evaluation result; The specific evaluation contents are as follows: When the energy release control index Snkz(t)>pulse frequency threshold F2, the first energy release control scheme is executed to adjust the pulse energy E and pulse frequency f to optimize the heat output of the pulse device; When the energy release control index Snkz (t) = the pulse frequency threshold F2, there is no need to perform energy release control and the current heat output continues to be maintained; When the energy release control index Snkz(t) is less than the pulse frequency threshold F2, the second energy release control scheme is executed. Compared with the first energy release control scheme, the pulse energy E and the pulse frequency f are adjusted in the opposite direction to optimize the heat output of the pulse device.

10. A steep pulse perforating ablation emergency stop energy release control method, applied to a steep pulse perforating ablation emergency stop energy release control system according to any one of claims 1 to 9, characterized in that: The following steps are involved: S1. First, an integrated sensor group is installed around the micro-hole processing of the engine turbine blade and on the pulse generator to collect material processing data and pulse data in real time; S2. Upload the collected processing data and pulse data to the cloud platform for storage by wireless transmission, and pre-process the processing data and pulse data; S3. Based on the pre-processed processing data and pulse data, an algorithm is constructed to calculate the cumulative total heat Rl and the temperature change rate △T, and the perforation temperature Ckwd is obtained by correlation calculation. Then, a safety threshold F1 is preset for comparison and evaluation to determine the triggering of the emergency stop strategy; S4. Based on the pre-processed processing data and pulse data, the energy diffusion rate Ks and the heat affected zone area Ry are calculated and obtained, and combined with the piercing temperature Ckwd, the energy release control index Snkz is calculated and obtained; S5. Finally, the preset pulse frequency threshold F2 is compared and evaluated with the obtained energy release control index Snkz, the pulse energy and frequency conditions are analyzed, and an energy release strategy is generated.

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