Intelligent control system for precise constant-temperature processing workshop of aviation components based on digital twinning

Abstract

The application discloses an aviation component precision constant-temperature processing workshop intelligent regulation and control system based on digital twinning, relates to the precision temperature control technical field, and comprises the following steps: acquiring a workshop twin model, and acquiring a workshop sub-region by using a regional analysis method; acquiring a workshop temperature rise monitoring line and a workshop temperature drop monitoring line corresponding to the workshop sub-region based on a temperature sensor, and acquiring temperature change characteristics; and regulating and controlling the temperature in an aviation component processing workshop based on the temperature change characteristics; the application is used for solving the problem that in the prior aviation component precision constant-temperature processing workshop intelligent regulation and control method, a position based on temperature change in the processing workshop is lacked, a precision temperature control method for the region susceptible to temperature change is lacked, the temperature in the processing workshop cannot be precisely and efficiently controlled, and the material processing efficiency in the workshop is affected.

Description

Technical Field

[0001] This invention relates to the field of precision temperature control technology, specifically to an intelligent control system for a precision constant temperature machining workshop of aerospace components based on digital twins. Background Technology

[0002] Precision temperature-controlled machining workshops for aerospace components are special industrial environments designed specifically for the manufacture of high-precision components in the aerospace field. Through a constant temperature and humidity control system, temperature fluctuations are controlled within ±0.5℃ and humidity fluctuations within ±5%, ensuring that the deformation of metal materials caused by thermal expansion and contraction during processing is minimized. These workshops are typically equipped with precision instruments such as five-axis CNC machine tools and laser processing equipment to manufacture key components such as aircraft structural parts and engine blades, with a machining accuracy that can reach the micron level.

[0003] Existing methods for intelligent control in precision temperature-controlled machining workshops for aerospace components typically rely on production data to acquire state information within the workshop and then output control action information through intelligent decision-making models to achieve intelligent control. While this improved approach can identify multimodal states within the workshop and improve decision-making efficiency, it only regulates the overall temperature within the workshop. This method is time-consuming and lacks specificity, failing to provide precise temperature control for areas susceptible to temperature changes. Consequently, it cannot accurately and efficiently control the temperature within the workshop when variations occur, impacting material processing efficiency. For example, patent application CN119761884A discloses a thermal processing workshop for aerospace products. The dynamic decision-making method, device, and equipment involve acquiring the first production data during the production of the target workpiece in the hot processing workshop, abstracting it to obtain the first workshop state information, and then generating a production decision scheme for the target workpiece from the first control action information of the action space output by the intelligent decision-making model. Other improvements to intelligent control methods for precision constant temperature processing workshops of aerospace components usually focus on improving the efficiency of the device. However, they still cannot solve the problem of lacking a method for precise temperature control of areas susceptible to temperature changes based on the location of temperature changes within the processing workshop. This results in the inability to accurately and efficiently control the temperature within the processing workshop when the temperature changes, causing problems that affect the material processing efficiency within the workshop. Therefore, it is necessary to improve the existing intelligent control methods for precision constant temperature processing workshops of aerospace components. Summary of the Invention

[0004] This invention aims to at least partially solve one of the technical problems in the prior art by proposing an intelligent control system for a precision constant temperature machining workshop of aerospace components based on digital twins. This system addresses the lack of a method in existing intelligent control methods for precision constant temperature machining workshops of aerospace components that accurately controls the temperature of areas susceptible to temperature changes based on the location of temperature changes within the machining workshop. This results in the inability to accurately and efficiently control the temperature within the machining workshop when the temperature changes, thus affecting the efficiency of material processing within the workshop.

[0005] To achieve the above objectives, this application provides an intelligent control system for a precision constant temperature machining workshop of aerospace components based on digital twins, including a workshop model construction module, a workshop temperature analysis module, and a multi-directional temperature control module; The workshop model building module is used to obtain a digital twin model of the aerospace component processing workshop based on the digital twin and the dimensional data of the workshop, and denoted as the workshop twin model; the workshop twin model is analyzed using the region analysis method, and workshop sub-regions are obtained based on the analysis results; The workshop temperature analysis module is used to monitor the temperature of sub-areas of the workshop using temperature sensors, and to obtain the temperature rise and temperature drop sensitive points of each sub-area based on the temperature detection results; based on the temperature rise and temperature drop sensitive points of all sub-areas of the workshop, the workshop temperature rise monitoring line and workshop temperature drop monitoring line are obtained. The multi-directional temperature control module is used to analyze the workshop heating and cooling monitoring lines, and based on the temperature change characteristics of the constant temperature data obtained from the analysis, it regulates the temperature in the aerospace component processing workshop when it is used.

[0006] Furthermore, the workshop model building module includes workshop model building units, each configured with a workshop model building strategy, which includes: Obtain dimensional data of all equipment in the aerospace component processing workshop, as well as the dimensional data of the aerospace component processing workshop itself. The dimensional data includes length, width, and height data. Based on the dimensional data of the aerospace component processing workshop, construct a corresponding digital twin model using digital twin technology, and denote it as the workshop framework model. Based on the dimensional data of all equipment in the aerospace component processing workshop, a digital twin model corresponding to each piece of equipment in the workshop is constructed using digital twins, and each model is recorded as a workshop equipment model. Based on the location of each piece of equipment in the aerospace component processing workshop, all workshop equipment models are filled into the workshop frame model, and the filled workshop frame model is recorded as the workshop twin model.

[0007] Furthermore, regional analysis methods include: Based on the types of components processed in the aerospace component processing workshop and the process requirements, the constant temperature number used for control in the aerospace component processing workshop is denoted as the workshop constant temperature number. For any constant temperature in the workshop: the temperature inside the aerospace component processing workshop is controlled to the constant temperature of the workshop. Infrared thermal imagers are used to detect the temperature inside the aerospace component processing workshop, and based on the temperature detection results, the corresponding temperature parameters are added to the workshop twin model.

[0008] Furthermore, regional analysis methods also include: For the workshop twin model: when the temperature in the aerospace component processing workshop is the constant temperature of the workshop, the maximum and minimum values ​​in the temperature range of the aerospace component processing workshop are recorded as the controllable maximum value and controllable minimum value, respectively; a location in the workshop twin model is randomly selected and recorded as the temperature test point; the temperature influence area of ​​the temperature test point is obtained using the temperature influence analysis method. The temperature effect analysis method includes: adjusting the temperature of the temperature test point to the controllable maximum value and updating the temperature parameters in the workshop twin model at this time; and marking the area in the workshop twin model with the updated temperature parameters as the temperature rise effect area. Adjust the temperature at the temperature test point to the controllable minimum value and update the temperature parameters in the workshop twin model at this time; the area in the workshop twin model with the updated temperature parameters where the temperature is lower than the constant temperature of the workshop is recorded as the cooling influence area; The area where the temperature rises and the temperature falls overlaps is recorded as the temperature influence area of ​​the temperature test point.

[0009] Furthermore, regional analysis methods also include: In the workshop twin model, a location is randomly selected from the areas not marked as temperature-affected regions and marked as the rejection test point; The temperature influence region of the rejection test point was obtained using the temperature influence analysis method, and the rejection test point was obtained repeatedly until all areas in the workshop twin model were within the temperature influence region. All temperature-affected areas within the workshop twin model at this time are recorded as workshop sub-regions corresponding to the workshop constant temperature number, and the temperature test points or rejection test points within the workshop sub-regions are recorded as the center points of the workshop sub-regions. Obtain the workshop sub-regions corresponding to all constant temperature values ​​in the workshops, as well as the center point of each workshop sub-region.

[0010] Furthermore, the workshop temperature analysis module includes a workshop temperature analysis unit, which is configured with a workshop temperature analysis strategy, including: For any workshop constant temperature number α corresponding to any workshop sub-region γ: adjust the temperature parameters in the workshop twin model to the workshop constant temperature number α; when the workshop sub-region coincides with any workshop equipment model, the area where the workshop sub-region and the workshop equipment model coincide is recorded as the equipment coincidence area. Among them, the same workshop sub-region can correspond to multiple equipment coincidence areas. A temperature sensor is placed in each overlapping area of ​​the equipment, and k temperature sensors are evenly placed in the areas outside the overlapping areas of the workshop sub-area. The temperature at the center point of the workshop sub-area is increased by 0.1℃, and the location of the temperature sensor whose temperature is greater than the constant temperature number α in the workshop is recorded as the temperature rise sensitive point.

[0011] Furthermore, workshop temperature analysis strategies also include: Lower the temperature of the center point of the workshop sub-area by 0.1℃, and mark the location of the temperature sensor whose detected temperature is lower than the constant temperature number α of the workshop as the cooling sensitive point; Obtain the temperature rise and temperature fall sensitive points of all workshop sub-regions corresponding to all workshop constant temperature values; for any workshop constant temperature value: the curve obtained by fitting the center point of all workshop sub-regions and the temperature rise sensitive points of all workshop sub-regions is recorded as the workshop temperature rise detection line; the curve obtained by fitting the center point of all workshop sub-regions and the temperature fall sensitive points of all workshop sub-regions is recorded as the workshop temperature fall detection line.

[0012] Furthermore, the multi-directional temperature control module includes a multi-directional temperature control unit, which is configured with a multi-directional temperature control strategy, including: For curve T: the sensitive points and the center point in curve T are all recorded as sampling points; the temperature parameters in the workshop twin model are adjusted to the workshop constant temperature number α, where curve T is the workshop temperature rise monitoring line or workshop temperature drop monitoring line corresponding to any workshop constant temperature number α, and the sensitive points are the temperature rise sensitive points or temperature drop sensitive points.

[0013] Furthermore, the multi-directional temperature control strategy also includes: For any sampling point δ: adjust the temperature of sampling point δ to a controllable minimum value and update the temperature parameters in the workshop twin model at this time; the curve formed by the sampling points in the workshop temperature rise monitoring line whose temperature is less than the workshop constant temperature number α after the temperature parameters are updated is denoted as the temperature change curve of sampling point δ. Obtain the temperature change curves of all sampling points, and record the temperature change curves of all sampling points corresponding to the workshop constant temperature monitoring line and the workshop cooling monitoring line as the temperature change characteristics of the workshop constant temperature.

[0014] Furthermore, the multi-directional temperature control strategy also includes: When the aerospace component processing workshop is in operation, the constant temperature value inside the aerospace component processing workshop is recorded as the standard constant temperature value; Infrared thermal imagers are used to detect the internal temperature of the aerospace component processing workshop, and based on the temperature detection results, corresponding temperature parameters are added to the workshop twin model. When the temperature of any point A in the workshop twin model is greater than the standard constant temperature number, the sampling point closest to point A among all sampling points corresponding to the workshop temperature rise monitoring line of the standard constant temperature number is recorded as the temperature control center point. When the temperature of any point A in the workshop twin model is less than the standard constant temperature number, the sampling point closest to point A among all sampling points corresponding to the workshop cooling monitoring line of the standard constant temperature number is recorded as the temperature control center point. Workshop sub-regions whose temperature change curves coincide with the temperature control center point are recorded as control sub-regions; local high-precision temperature controllers are used to regulate the temperature in all control sub-regions to a standard constant temperature.

[0015] The beneficial effects of this invention are as follows: First, based on digital twins and dimensional data of an aerospace component processing workshop, a digital twin model of the workshop is obtained and denoted as the workshop twin model. Then, the workshop twin model is analyzed using region analysis, and workshop sub-regions are obtained based on the analysis results. Next, temperature sensors are used to monitor the temperature of the workshop sub-regions, and the temperature-sensitive points for temperature rise and fall in each sub-region are obtained based on the temperature detection results. The advantage of this approach is that by establishing a workshop twin model and obtaining workshop sub-regions, it is possible to determine the range of temperature impact at each location within the workshop after a temperature change. The workshop is divided into multiple sub-regions to improve the efficiency of temperature impact analysis in subsequent analyses. By acquiring the temperature-sensitive points for each sub-region, the location affected by temperature changes at the center point within each sub-region can be determined. This allows for the identification of the areas most susceptible to temperature decreases and increases in the workshop during subsequent analyses, i.e., the areas where the workshop temperature monitoring lines are located. Consequently, when the temperature in the processing workshop changes, the temperature can be precisely and efficiently controlled based on the location of the temperature change. This application also obtains workshop temperature rise monitoring lines and workshop temperature fall monitoring lines based on the temperature rise and fall sensitive points of all workshop sub-regions; finally, it analyzes the workshop temperature rise and fall monitoring lines, and based on the temperature change characteristics of the workshop constant temperature obtained from the analysis, it regulates the temperature in the aerospace component processing workshop when it is used. The advantage of this is that by obtaining the workshop temperature rise and fall monitoring lines and obtaining the temperature change characteristics of the workshop constant temperature, it is possible to determine the area affected by the temperature rise or fall at a certain point in the workshop during normal operation, based on the temperature under constant temperature conditions in the workshop, and to accurately control the temperature of that area, thereby achieving precise and efficient temperature control in the processing workshop and preventing the problem of temperature control affecting the material processing efficiency in the workshop. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the system of the present invention; Figure 2 This is a schematic diagram illustrating the acquisition of the temperature-affected region according to the present invention; Figure 3 This is a schematic diagram showing the overlapping areas of the devices in this invention; Figure 4 This is a schematic diagram showing the placement of the temperature sensor of the present invention. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Please see Figure 1 As shown, this application provides an intelligent control system for a precision constant temperature machining workshop of aerospace components based on digital twins, including a workshop model construction module, a workshop temperature analysis module, and a multi-directional temperature control module; The workshop model building module is used to obtain a digital twin model of the aerospace component processing workshop based on the digital twin and the dimensional data of the workshop, and denoted as the workshop twin model; the workshop twin model is analyzed using the region analysis method, and workshop sub-regions are obtained based on the analysis results; The workshop model building module includes workshop model building units, which are configured with workshop model building strategies. These strategies include: Obtain dimensional data of all equipment in the aerospace component processing workshop, as well as the dimensional data of the aerospace component processing workshop itself. The dimensional data includes length, width, and height data. Based on the dimensional data of the aerospace component processing workshop, construct a corresponding digital twin model using digital twin technology, and denote it as the workshop framework model. Based on the dimensional data of all equipment in the aerospace component processing workshop, a digital twin model corresponding to each piece of equipment in the workshop is constructed using digital twins, and each model is recorded as a workshop equipment model. In the specific implementation process, the purpose of using digital twins to construct a workshop equipment model based on the dimensional data of all equipment in the aerospace component processing workshop and filling the workshop equipment model into the workshop frame model is to ensure that the obtained workshop twin model completely restores the equipment layout in the workshop, so as to conduct a more accurate analysis of the temperature change-affected area in the workshop in subsequent analysis. Based on the location of each piece of equipment in the aerospace component processing workshop, all workshop equipment models are filled into the workshop frame model, and the filled workshop frame model is recorded as the workshop twin model.

[0019] The regional analysis method includes: based on the types of parts processed in the aerospace component processing workshop and the process requirements, the constant temperature number used for control in the aerospace component processing workshop is recorded as the workshop constant temperature number; For any constant temperature in the workshop: the temperature inside the aerospace component processing workshop is controlled to the constant temperature in the workshop. Infrared thermal imagers are used to detect the temperature inside the aerospace component processing workshop, and based on the results of the temperature detection, the corresponding temperature parameters are added to the workshop twin model. In the specific implementation process, the constant temperature of the workshop can be set according to the type of parts being processed in the workshop and the requirements of the process. In this embodiment, the constant temperature of the workshop analyzed is 20℃, and the temperature range is ±0.5℃. That is, the controllable maximum value and controllable minimum value obtained in the subsequent analysis are 20.5℃ and 19.5℃, respectively.

[0020] The regional analysis method also includes: For the workshop twin model: when the temperature in the aerospace component processing workshop is the constant temperature number of the workshop, the maximum and minimum values ​​in the temperature range of the aerospace component processing workshop are recorded as the controllable maximum value and controllable minimum value, respectively; a location in the workshop twin model is randomly selected and recorded as the temperature test point; the temperature influence area of ​​the temperature test point is obtained using the temperature influence analysis method.

[0021] The temperature effect analysis method includes: adjusting the temperature of the temperature test point to the controllable maximum value and updating the temperature parameters in the workshop twin model at this time; and marking the area in the workshop twin model with the updated temperature parameters as the temperature rise effect area. In the specific implementation process, parameters that affect the temperature change range, such as real-time humidity, dust concentration, and air velocity in the workshop, can be added to the workshop twin model. This allows for a more realistic simulation of the area affected by temperature changes when the temperature at the temperature test point in the workshop changes, thus making the temperature-affected area more accurate. Adjust the temperature at the temperature test point to the controllable minimum value and update the temperature parameters in the workshop twin model at this time; the area in the workshop twin model with the updated temperature parameters where the temperature is lower than the constant temperature of the workshop is recorded as the cooling influence area; The area where the temperature rises and the temperature falls overlaps is recorded as the temperature influence area of ​​the temperature test point. For example, during a data analysis, a temperature test point was obtained, such as... Figure 2 The location of point TC is such that when the temperature of point TC is 20.5℃, the area affected by the temperature rise is the area where ball CC1 is located, and when the temperature of point TC is 19.5℃, the area affected by the temperature drop is the area where ball CC2 is located. After coinciding with balls CC1 and CC2, the resulting area CC3 is the area affected by both the temperature rise and drop of point TC, i.e., the temperature influence area of ​​point TC. By obtaining the temperature influence areas of temperature test points and rejection test points, the workshop can be divided into multiple sub-regions based on the range of temperature influence at each location after temperature change, thereby improving the efficiency of temperature influence analysis within the workshop in subsequent analyses.

[0022] The area analysis method also includes: randomly selecting a location in the area not recorded as a temperature-affected area within the workshop twin model and recording it as a rejection test point; The temperature influence region of the rejection test point was obtained using the temperature influence analysis method, and the rejection test point was obtained repeatedly until all areas in the workshop twin model were within the temperature influence region. All temperature-affected areas within the workshop twin model at this time are recorded as workshop sub-regions corresponding to the workshop constant temperature number, and the temperature test points or rejection test points within the workshop sub-regions are recorded as the center points of the workshop sub-regions. Obtain the workshop sub-regions corresponding to all constant temperature values ​​in the workshops, as well as the center point of each workshop sub-region.

[0023] The workshop temperature analysis module is used to monitor the temperature of sub-areas of the workshop using temperature sensors, and to obtain the temperature rise and temperature drop sensitive points of each sub-area based on the temperature detection results; based on the temperature rise and temperature drop sensitive points of all sub-areas of the workshop, the workshop temperature rise monitoring line and workshop temperature drop monitoring line are obtained. The workshop temperature analysis module includes a workshop temperature analysis unit, which is configured with a workshop temperature analysis strategy. The workshop temperature analysis strategy includes: for any workshop sub-region γ corresponding to any workshop constant temperature number α: adjust the temperature parameters in the workshop twin model to the workshop constant temperature number α; when the workshop sub-region coincides with any workshop equipment model, the area where the workshop sub-region and the workshop equipment model coincide is recorded as the equipment coincidence area. The same workshop sub-region can correspond to multiple equipment coincidence areas. In the specific implementation process, for example, during a data analysis, by Figure 2 The temperature influence area obtained from the medium temperature test point TC is... Figure 3 The workshop sub-region CZ corresponding to the inner center point TC, and Figure 3 The rectangular bodies CS1, CS2, and CS3 in the model are all workshop equipment models. By obtaining the positional relationship between the workshop sub-region CZ and all workshop equipment models, it is found that regions SC1, SC2, and SC3 in the workshop sub-region ZC are overlapping equipment areas. Therefore, a temperature sensor can be placed in regions SC1, SC2, and SC3 respectively to monitor the temperature change state when the temperature of the center point TC changes and the temperature change is transmitted to the surfaces of CS1, CS2, and CS3. In addition, the value of k can be determined based on the actual range of the workshop sub-region and the number of overlapping equipment areas already acquired during the analysis. If the range of the workshop sub-region is large and the number of overlapping equipment areas already acquired is small, the value of k can be increased to more comprehensively monitor the locations within the workshop sub-region affected by temperature changes at the center point. In this embodiment, the value of k is set to 5, and the placement points are as follows: Figure 4 WC1 to WC5 are used to achieve a more comprehensive detection of the locations in the workshop sub-region CZ where the center point TC is located that are affected by the temperature changes of the center point.

[0024] A temperature sensor is placed in each overlapping area of ​​the equipment, and k temperature sensors are evenly placed in the areas outside the overlapping areas of the equipment in the workshop sub-area. The temperature at the center point of the workshop sub-area is increased by 0.1℃, and the location of the temperature sensor whose detected temperature is greater than the constant temperature number α in the workshop is recorded as the temperature rise sensitive point. In the specific implementation process, since the constant temperature used for analysis in this embodiment is 20℃ and the temperature range is 20.5℃ to 19.5℃, increasing it by 0.1℃ can effectively detect the area affected by temperature changes. In another analysis environment, when the constant temperature remains unchanged but the temperature range is 20.1℃ to 19.9℃, the constant temperature can be reduced by 0.1℃, such as to 0.02℃, so as to obtain the temperature-sensitive points and temperature-sensitive points in the workshop sub-regions through the temperature change at the center point. By obtaining the temperature-sensitive points and temperature-sensitive points in the workshop sub-regions, the location affected by temperature when the temperature at the center point rises or falls can be obtained in each workshop sub-region. This allows for precise and efficient temperature control within the processing workshop based on the location of temperature changes in subsequent analyses.

[0025] The workshop temperature analysis strategy also includes: lowering the temperature of the center point of the workshop sub-region by 0.1℃, and marking the locations of temperature sensors whose detected temperatures are lower than the workshop constant temperature number α as cooling sensitive points; Obtain the temperature rise and temperature fall sensitive points of all workshop sub-regions corresponding to all workshop constant temperature values; for any workshop constant temperature value: the curve obtained by fitting the center point of all workshop sub-regions and the temperature rise sensitive points of all workshop sub-regions is recorded as the workshop temperature rise detection line; the curve obtained by fitting the center point of all workshop sub-regions and the temperature fall sensitive points of all workshop sub-regions is recorded as the workshop temperature fall detection line.

[0026] The multi-directional temperature control module is used to analyze the workshop heating and cooling monitoring lines, and based on the temperature change characteristics of the constant temperature data obtained from the analysis, it regulates the temperature in the aerospace component processing workshop when it is used. The multi-directional temperature control module includes a multi-directional temperature control unit, which is configured with multi-directional temperature control strategies, including: For curve T: the sensitive points and the center point in curve T are all recorded as sampling points; the temperature parameters in the workshop twin model are adjusted to the workshop constant temperature number α, where curve T is the workshop temperature rise monitoring line or workshop temperature drop monitoring line corresponding to any workshop constant temperature number α, and the sensitive points are the temperature rise sensitive points or temperature drop sensitive points.

[0027] The multi-directional temperature control strategy also includes: for any sampling point δ: adjust the temperature of sampling point δ to the controllable minimum value and update the temperature parameters in the workshop twin model at this time; the curve formed by the sampling points in the workshop temperature rise monitoring line whose temperature is less than the workshop constant temperature number α after the temperature parameters are updated is recorded as the temperature change curve of sampling point δ. In the specific implementation process, by acquiring the temperature change curve corresponding to each sampling point in the workshop heating monitoring line or workshop cooling monitoring line, it is possible to obtain the area affected by the temperature rise or fall at a certain point in the workshop when the temperature rises or falls at a certain point in the workshop, based on the temperature change curve corresponding to the sampling point near that point, and to carry out precise temperature control of that area, thereby achieving precise and efficient temperature control in the processing workshop; Obtain the temperature change curves of all sampling points, and record the temperature change curves of all sampling points corresponding to the workshop constant temperature monitoring line and the workshop cooling monitoring line as the temperature change characteristics of the workshop constant temperature.

[0028] The multi-directional temperature control strategy also includes: when the aerospace component processing workshop is in operation, the constant temperature number in the aerospace component processing workshop is recorded as the standard constant temperature number; Infrared thermal imagers are used to detect the internal temperature of the aerospace component processing workshop, and based on the temperature detection results, corresponding temperature parameters are added to the workshop twin model. When the temperature of any point A in the workshop twin model is greater than the standard constant temperature number, the sampling point closest to point A among all sampling points corresponding to the workshop temperature rise monitoring line of the standard constant temperature number is recorded as the temperature control center point. When the temperature of any point A in the workshop twin model is less than the standard constant temperature number, the sampling point closest to point A among all sampling points corresponding to the workshop cooling monitoring line of the standard constant temperature number is recorded as the temperature control center point. Workshop sub-regions whose temperature change curves coincide with the temperature control center point are recorded as control sub-regions; local high-precision temperature controllers are used to regulate the temperature in all control sub-regions to a standard constant temperature. In the specific implementation process, the temperature in the controlled sub-area can be precisely controlled based on existing regional temperature control equipment, such as programmable logic controllers, distributed control systems, HVAC temperature control modules in building automation systems, and local high-precision temperature controllers. In this embodiment, a local high-precision temperature controller is used for regional temperature control.

[0029] Working principle: First, based on the digital twin and dimensional data of the aerospace component processing workshop, a digital twin model of the workshop is obtained and denoted as the workshop twin model. The workshop twin model is analyzed using region analysis, and sub-regions of the workshop are obtained based on the analysis results. Then, temperature sensors are used to monitor the temperature of the workshop sub-regions, and the temperature rise and fall sensitive points of each sub-region are obtained based on the temperature detection results. Based on the temperature rise and fall sensitive points of all workshop sub-regions, workshop temperature rise monitoring lines and workshop temperature fall monitoring lines are obtained. Finally, the workshop temperature rise and fall monitoring lines are analyzed, and based on the temperature change characteristics of the constant temperature data obtained from the analysis, the temperature within the aerospace component processing workshop is regulated when the workshop is in use.

[0030] Based on the above description of the embodiments, the embodiments of the present invention can be provided as methods, systems, or computer program products. Based on this understanding, the above technical solutions, in essence or in terms of their contribution to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or certain parts of the embodiments.

[0031] In the embodiments provided in this application, it should be understood that the disclosed system or method can be implemented in other ways. The embodiments described above are merely illustrative. For example, the division of modules or units is only a logical functional division, and there may be other division methods in actual implementation. Furthermore, multiple modules or units may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the coupling or direct coupling or communication connection shown or discussed may be through some communication interfaces. The indirect coupling or communication connection between systems, modules, and units may be electrical, mechanical, or other forms.

[0032] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. An intelligent control system for a precision constant-temperature machining workshop of aerospace components based on digital twins, characterized in that, This includes a workshop model building module, a workshop temperature analysis module, and a multi-directional temperature control module; The workshop model building module is used to obtain a digital twin model of the aerospace component processing workshop based on the digital twin and the dimensional data of the workshop, and denoted as the workshop twin model; the workshop twin model is analyzed using the region analysis method, and workshop sub-regions are obtained based on the analysis results; The workshop temperature analysis module is used to monitor the temperature of sub-areas of the workshop using temperature sensors, and to obtain the temperature rise and temperature drop sensitive points of each sub-area based on the temperature detection results; based on the temperature rise and temperature drop sensitive points of all sub-areas of the workshop, the workshop temperature rise monitoring line and workshop temperature drop monitoring line are obtained. The multi-directional temperature control module is used to analyze the workshop heating and cooling monitoring lines, and based on the temperature change characteristics of the constant temperature data obtained from the analysis, it regulates the temperature in the aerospace component processing workshop when it is used. The workshop temperature analysis module includes a workshop temperature analysis unit, which is configured with a workshop temperature analysis strategy. The workshop temperature analysis strategy includes: For any workshop constant temperature number α corresponding to any workshop sub-region γ: adjust the temperature parameters in the workshop twin model to the workshop constant temperature number α; when the workshop sub-region coincides with any workshop equipment model, the area where the workshop sub-region and the workshop equipment model coincide is recorded as the equipment coincidence area. Among them, the same workshop sub-region can correspond to multiple equipment coincidence areas. A temperature sensor is placed in each overlapping area of ​​the equipment, and k temperature sensors are evenly placed in the areas outside the overlapping areas of the equipment in the workshop sub-area. The temperature at the center point of the workshop sub-area is increased by 0.1℃, and the location of the temperature sensor whose detected temperature is greater than the constant temperature number α in the workshop is recorded as the temperature rise sensitive point. Lower the temperature of the center point of the workshop sub-area by 0.1℃, and mark the location of the temperature sensor whose detected temperature is lower than the constant temperature number α of the workshop as the cooling sensitive point; Obtain the temperature rise and temperature fall sensitive points of all workshop sub-regions corresponding to all workshop constant temperature values; for any workshop constant temperature value: the curve obtained by fitting the center point of all workshop sub-regions and the temperature rise sensitive points of all workshop sub-regions is recorded as the workshop temperature rise monitoring line; the curve obtained by fitting the center point of all workshop sub-regions and the temperature fall sensitive points of all workshop sub-regions is recorded as the workshop temperature fall monitoring line.

2. The intelligent control system for a precision constant-temperature machining workshop of aerospace components based on digital twins as described in claim 1, characterized in that, The workshop model building module includes workshop model building units, which are configured with workshop model building strategies. These strategies include: Obtain dimensional data of all equipment in the aerospace component processing workshop, as well as the dimensional data of the aerospace component processing workshop itself. The dimensional data includes length, width, and height data. Based on the dimensional data of the aerospace component processing workshop, construct a corresponding digital twin model using digital twin technology, and denote it as the workshop framework model. Based on the dimensional data of all equipment in the aerospace component processing workshop, a digital twin model corresponding to each piece of equipment in the workshop is constructed using digital twins, and each model is recorded as a workshop equipment model. Based on the location of each piece of equipment in the aerospace component processing workshop, all workshop equipment models are filled into the workshop frame model, and the filled workshop frame model is recorded as the workshop twin model.

3. The intelligent control system for a precision constant-temperature machining workshop of aerospace components based on digital twins according to claim 2, characterized in that, Regional analysis methods include: Based on the types of components processed in the aerospace component processing workshop and the process requirements, the constant temperature number used for control in the aerospace component processing workshop is denoted as the workshop constant temperature number. For any constant temperature in the workshop: the temperature inside the aerospace component processing workshop is controlled to the constant temperature of the workshop. Infrared thermal imagers are used to detect the temperature inside the aerospace component processing workshop, and based on the temperature detection results, the corresponding temperature parameters are added to the workshop twin model.

4. The intelligent control system for a precision constant-temperature machining workshop of aerospace components based on digital twins according to claim 3, characterized in that, Regional analysis methods also include: For the workshop twin model: when the temperature in the aerospace component processing workshop is the constant temperature of the workshop, the maximum and minimum values ​​in the temperature range of the aerospace component processing workshop are recorded as the controllable maximum value and controllable minimum value, respectively; a location in the workshop twin model is randomly selected and recorded as the temperature test point; the temperature influence area of ​​the temperature test point is obtained using the temperature influence analysis method. The temperature effect analysis method includes: adjusting the temperature of the temperature test point to the controllable maximum value and updating the temperature parameters in the workshop twin model at this time; and marking the area in the workshop twin model with the updated temperature parameters as the temperature rise effect area. Adjust the temperature at the temperature test point to the controllable minimum value and update the temperature parameters in the workshop twin model at this time; the area in the workshop twin model with the updated temperature parameters where the temperature is lower than the constant temperature of the workshop is recorded as the cooling influence area; The area where the temperature rises and the temperature falls overlaps is recorded as the temperature influence area of ​​the temperature test point.

5. The intelligent control system for a precision constant-temperature machining workshop of aerospace components based on digital twins according to claim 4, characterized in that, Regional analysis methods also include: In the workshop twin model, a location is randomly selected from the areas not marked as temperature-affected regions and marked as the rejection test point; The temperature influence region of the rejection test point was obtained using the temperature influence analysis method, and the rejection test point was obtained repeatedly until all areas in the workshop twin model were within the temperature influence region. All temperature-affected areas within the workshop twin model at this time are recorded as workshop sub-regions corresponding to the workshop constant temperature number, and the temperature test points or rejection test points within the workshop sub-regions are recorded as the center points of the workshop sub-regions. Obtain the workshop sub-regions corresponding to all constant temperature values ​​in the workshops, as well as the center point of each workshop sub-region.

6. The intelligent control system for a precision constant-temperature machining workshop of aerospace components based on digital twins according to claim 4, characterized in that, The multi-directional temperature control module includes a multi-directional temperature control unit, which is configured with multi-directional temperature control strategies, including: For curve T: the sensitive points and the center point in curve T are all recorded as sampling points; the temperature parameters in the workshop twin model are adjusted to the workshop constant temperature number α, where curve T is the workshop temperature rise monitoring line or workshop temperature drop monitoring line corresponding to any workshop constant temperature number α, and the sensitive points are the temperature rise sensitive points or temperature drop sensitive points.

7. The intelligent control system for a precision constant-temperature machining workshop of aerospace components based on digital twins according to claim 6, characterized in that, Multi-directional temperature control strategies also include: For any sampling point δ: adjust the temperature of sampling point δ to a controllable minimum value and update the temperature parameters in the workshop twin model at this time; the curve formed by the sampling points in the workshop temperature rise monitoring line whose temperature is less than the workshop constant temperature number α after the temperature parameters are updated is denoted as the temperature change curve of sampling point δ. Obtain the temperature change curves of all sampling points, and record the temperature change curves of all sampling points corresponding to the workshop constant temperature monitoring line and the workshop cooling monitoring line as the temperature change characteristics of the workshop constant temperature.

8. The intelligent control system for a precision constant-temperature machining workshop of aerospace components based on digital twins according to claim 7, characterized in that, Multi-directional temperature control strategies also include: When the aerospace component processing workshop is in operation, the constant temperature value inside the aerospace component processing workshop is recorded as the standard constant temperature value; Infrared thermal imagers are used to detect the internal temperature of the aerospace component processing workshop, and based on the temperature detection results, corresponding temperature parameters are added to the workshop twin model. When the temperature of any point A in the workshop twin model is greater than the standard constant temperature number, the sampling point closest to point A among all sampling points corresponding to the workshop temperature rise monitoring line of the standard constant temperature number is recorded as the temperature control center point. When the temperature of any point A in the workshop twin model is less than the standard constant temperature number, the sampling point closest to point A among all sampling points corresponding to the workshop cooling monitoring line of the standard constant temperature number is recorded as the temperature control center point. Workshop sub-regions whose temperature change curves coincide with the temperature control center point are recorded as control sub-regions; local high-precision temperature controllers are used to regulate the temperature in all control sub-regions to a standard constant temperature.

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