Hot bed platform data acquisition method and system of printer

Abstract

The invention discloses a hot bed platform data acquisition method and system of a printer. The method comprises the steps that temperature data and heat flow data of multiple position points on the surface of a hot bed platform in the operation process are monitored in real time; calculating a temperature stability index and a temperature uniformity index according to the temperature data; calculating a heat flow stability index and a heat flow uniformity index according to the heat flow data; calculating a thermal environment monitoring index according to the temperature stability index, the temperature uniformity index, the heat flow stability index and the heat flow uniformity index; and taking the temperature data and the heat flow data as original data, and taking the temperature stability index and the temperature uniformity index, the heat flow stability index and the heat flow uniformity index, and the thermal environment monitoring index as processed data for packaging to obtain a thermal environment data set. According to the embodiment of the invention, data acquisition and intelligent management of the hot bed platform of the printer can be realized, the processing precision of the 3D printer can be improved, the printing quality can be improved, and the service life of equipment can be prolonged.

Description

Technical Field

[0001] The invention belongs to the field of printing technology, and in particular to a method and system for collecting data of a hot bed platform of a printer. Background Art

[0002] As 3D printing technology becomes more and more popular, the hot bed platform of the printer, as one of the key components, plays a vital role in the stability of the printing process and the printing quality. The main function of the hot bed platform is to provide a controlled heating environment to ensure that the printed material can be well attached to the print bed during the printing process to avoid quality problems such as warping and deformation. However, with the diversification of material types and printer types, the hot bed platform of the printer faces a series of technical challenges in practical applications, which urgently need to be solved through innovative data collection and analysis methods. Summary of the invention

[0003] The purpose of the present invention is to provide a data collection method and system for a hot bed platform of a printer to solve the deficiencies in the prior art. The method and system can realize data collection and intelligent management of the hot bed platform of the printer through systematic multi-parameter monitoring and comprehensive index evaluation, which is helpful to improve the processing accuracy of the 3D printer, improve the printing quality, and extend the service life of the equipment.

[0004] An embodiment of the present application provides a method for collecting data of a hot bed platform of a printer, the method comprising: The temperature sensor and heat flow sensor integrated in the printer's hot bed platform monitor the temperature and heat flow data of multiple positions on the hot bed platform surface during operation in real time, so as to capture the temperature distribution and heat flow dynamics of the hot bed surface in real time; Calculating the temperature stability index and the temperature uniformity index of the hot bed platform according to the temperature data to evaluate the temperature distribution of the hot bed platform; Calculating the heat flow stability index and the heat flow uniformity index of the hot bed platform according to the heat flow data to evaluate the heat flow dynamics of the hot bed platform; Calculating the thermal environment monitoring index of the hot bed platform according to the temperature stability index and the temperature uniformity index, the heat flow stability index and the heat flow uniformity index, so as to evaluate the overall heating performance of the hot bed platform; The temperature data and heat flow data are taken as raw data, and the temperature stability index and temperature uniformity index, the heat flow stability index and heat flow uniformity index, and the thermal environment monitoring index are packaged as processed data to obtain a final collected and processed thermal environment data set.

[0005] Optionally, the calculation formulas for the temperature stability index and the temperature uniformity index of the hot bed platform include:

[0006]

[0007] Among them, the is the temperature stability index, is the temperature of the i-th position, is the average temperature of all locations, is the temperature standard deviation of all locations, n is the number of locations, is the temperature uniformity index, is the maximum temperature of all locations, is the minimum temperature of all locations.

[0008] Optionally, the calculation formulas for the heat flow stability index and the heat flow uniformity index include:

[0009]

[0010] Among them, the is the heat flow stability index, is the heat flow at the ith position, is the average heat flow at all locations, is the standard deviation of heat flow at all locations, n is the number of locations, is the heat flux uniformity index, is the maximum heat flow at all locations, is the minimum heat flux at all locations.

[0011] Optionally, the calculating the thermal environment monitoring index of the hot bed platform according to the temperature stability index and the temperature uniformity index, the heat flow stability index and the heat flow uniformity index includes: Calculating the temperature monitoring index of the hot bed platform according to the temperature stability index and the temperature uniformity index to evaluate the influence of temperature on the overall heating performance; Calculating the heat flow monitoring index of the hot bed platform according to the heat flow stability index and the heat flow uniformity index to evaluate the influence of the heat flow on the overall heating performance; The temperature monitoring index and the heat flow monitoring index are weighted to obtain a thermal environment monitoring index of the hot bed platform.

[0012] Optionally, the method further includes: Compare each data in the thermal environment data set with a preset threshold value corresponding to the data to determine whether there is abnormal data; If there is abnormal data, an early warning message is sent to the control terminal of the printer so that the control terminal optimizes the configuration parameters of the hot bed platform and returns to execute the step of real-time monitoring of the temperature data and heat flow data of multiple position points on the surface of the hot bed platform during operation through the temperature sensor and heat flow sensor of the hot bed platform integrated in the printer until the obtained thermal environment data set does not contain abnormal data.

[0013] Another embodiment of the present application provides a data acquisition system for a hot bed platform of a printer, the system comprising: The monitoring module is used to monitor the temperature data and heat flow data of multiple positions on the surface of the hot bed platform in real time during operation through the temperature sensor and heat flow sensor integrated in the hot bed platform of the printer, so as to capture the temperature distribution and heat flow dynamics of the hot bed surface in real time; A first evaluation module is used to calculate the temperature stability index and the temperature uniformity index of the hot bed platform according to the temperature data, so as to evaluate the temperature distribution of the hot bed platform; A second evaluation module is used to calculate the heat flow stability index and the heat flow uniformity index of the hot bed platform according to the heat flow data, so as to evaluate the heat flow dynamics of the hot bed platform; A third evaluation module is used to calculate the thermal environment monitoring index of the hot bed platform according to the temperature stability index and the temperature uniformity index, the heat flow stability index and the heat flow uniformity index, so as to evaluate the overall heating performance of the hot bed platform; The acquisition module is used to take the temperature data and heat flow data as raw data, package the temperature stability index and temperature uniformity index, the heat flow stability index and heat flow uniformity index, and the thermal environment monitoring index as processed data, and obtain the final collected and processed thermal environment data set.

[0014] Yet another embodiment of the present application provides a storage medium, wherein the storage medium stores a computer program, wherein the computer program is configured to execute any of the above methods when running.

[0015] Yet another embodiment of the present application provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute any of the methods described above.

[0016] Compared with the prior art, the present invention provides a data collection method for a hot bed platform of a printer, which monitors the temperature data and heat flow data of multiple position points on the surface of the hot bed platform in real time during operation; calculates the temperature stability index and the temperature uniformity index according to the temperature data; calculates the heat flow stability index and the heat flow uniformity index according to the heat flow data; calculates the thermal environment monitoring index according to the temperature stability index and the temperature uniformity index, the heat flow stability index and the heat flow uniformity index; uses the temperature data and the heat flow data as the original data, and packages the temperature stability index and the temperature uniformity index, the heat flow stability index and the heat flow uniformity index, and the thermal environment monitoring index as processed data to obtain a thermal environment data set, so that data collection and intelligent management of the printer hot bed platform can be realized through systematic multi-parameter monitoring and comprehensive index evaluation, which is helpful to improve the processing accuracy of the 3D printer, improve the printing quality, and extend the service life of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A hardware structure block diagram of a computer terminal of a method for collecting data from a hot bed platform of a printer provided by an embodiment of the present invention; Figure 2 A schematic diagram of a flow chart of a method for collecting data from a hot bed platform of a printer provided by an embodiment of the present invention; Figure 3 A schematic structural diagram of a hot bed platform data acquisition system for a printer provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0018] The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, but should not be construed as limiting the present invention.

[0019] The embodiment of the present invention firstly provides a method for collecting data of a hot bed platform of a printer, and the method can be applied to electronic devices, such as computer terminals, specifically ordinary computers, etc.

[0020] The following describes it in detail by taking running on a computer terminal as an example. Figure 1 The hardware structure block diagram of the computer terminal of the printer hot bed platform data acquisition method provided by the embodiment of the present invention. Figure 1 As shown, the computer device includes a processor, a memory, and a network interface connected via a system bus, wherein the memory may include a non-volatile storage medium and an internal memory.

[0021] The non-volatile storage medium can store an operating system and a computer program. The computer program includes program instructions, and when the program instructions are executed, the processor can execute any one of the methods for collecting data from a hot bed platform of a printer.

[0022] The processor is used to provide computing and control capabilities and support the operation of the entire computer equipment.

[0023] The internal memory provides an environment for the operation of the computer program in the non-volatile storage medium. When the computer program is executed by the processor, the processor can execute any method for collecting data from the hot bed platform of the printer.

[0024] The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art will understand that Figure 1 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0025] It should be understood that the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0026] See also Figure 2 , an embodiment of the present invention provides a method for collecting data of a hot bed platform of a printer, which may include the following steps: S201, using a temperature sensor and a heat flow sensor integrated in the hot bed platform of the printer, real-time monitoring of temperature data and heat flow data of multiple positions on the surface of the hot bed platform during operation, so as to capture the temperature distribution and heat flow dynamics of the hot bed surface in real time; This method can collect temperature and heat flow data at multiple locations of the hot bed in real time by arranging multiple temperature sensors and heat flow sensors on the surface of the hot bed platform. This not only captures the temperature distribution of the entire hot bed surface, but also understands the heat flow dynamics, thereby fully understanding the thermal environment of the hot bed during operation. The real-time collection of temperature data and heat flow data enables dynamic monitoring and analysis of the temperature and heat flow of the hot bed platform. These real-time data provide a basis for further analysis of the temperature stability and uniformity, and heat flow stability and uniformity of the hot bed platform. Through the comprehensive analysis of these data, the overall heating performance of the hot bed platform can be effectively evaluated, providing accurate feedback for subsequent temperature control and heat flow adjustment.

[0027] In order to achieve real-time monitoring of temperature data and heat flow data at multiple locations on the surface of the printer's hot bed platform, it is necessary to evenly arrange multiple temperature sensors and heat flow sensors on the hot bed surface. These sensors can use high-precision thermocouples or thermal resistors as temperature sensors to ensure the accuracy of temperature data. Heat flow sensors can use micro heat flow meters, which can accurately capture the changing dynamics of heat flow. These sensors are connected to the communication interface of the printer control system and transmit the collected data to the control system in real time. The data processing unit built into the control system can then analyze these data in real time, including calculating the temperature and heat flow at each location, as well as the overall temperature stability index, temperature uniformity index, heat flow stability index, and heat flow uniformity index. The control system can also dynamically adjust the heating power and distribution of the hot bed according to changes in monitoring data. For example, when the temperature in a certain area is too high or too low, the system can adjust the heating power of that area accordingly to achieve a balanced temperature distribution. At the same time, when abnormal changes in heat flow are detected, the system can also ensure the stability of heat flow by adjusting the heating mode of the hot bed. Through this implementation, the 3D printer can continuously monitor and adjust the thermal environment of the hot bed during the entire printing process to ensure the stability of the printing process and improve the printing quality. This method is not only applicable to common FDM (fused deposition modeling) 3D printers, but can also be extended to other types of printing equipment, with wide applicability and important application prospects.

[0028] Real-time monitoring of temperature data and heat flow data at multiple locations on the surface of the hot bed platform is of great significance. First, it can significantly improve the quality of 3D printing, because uniform temperature and heat flow distribution helps prevent warping and deformation of printed materials, thereby ensuring the accuracy and consistency of printed parts. Secondly, by providing accurate real-time data, timely feedback is provided to the printer's control system, allowing the system to dynamically adjust the heating strategy and optimize the temperature control and heat flow management of the hot bed. This not only improves the stability of the printing process, but also helps to save energy and reduce consumption, thereby reducing printing costs. At the same time, a uniform and stable thermal environment helps to reduce thermal fatigue and wear of the equipment and extend the service life of the printer. Finally, by real-time monitoring and analysis of data, abnormal conditions of the hot bed platform can be discovered and warned in a timely manner, and preventive measures can be taken to avoid printing failures or equipment damage, ensuring the smooth progress of printing tasks.

[0029] S202, calculating a temperature stability index and a temperature uniformity index of the hot bed platform according to the temperature data to evaluate the temperature distribution of the hot bed platform; The temperature stability index (TSI) and temperature uniformity index (TUI) of the hot bed platform are calculated based on the temperature data in order to accurately evaluate the temperature distribution characteristics of the hot bed platform. The calculation goal of the temperature stability index is to quantify the degree of temperature fluctuation at each point of the hot bed, so as to evaluate the ability of the hot bed to maintain a constant temperature within a certain period of time. By analyzing the fluctuations of each temperature point, TSI can provide a numerical indicator that reflects the temperature stability of the entire platform. The temperature uniformity index is used to measure the distribution consistency of the surface temperature of the hot bed. TUI measures the uniformity of the surface temperature of the hot bed by comparing the ratio of the difference between the highest and lowest temperatures relative to the average temperature. The combination of these two indices provides accurate basic data for optimizing the heating strategy of the hot bed.

[0030] Specifically, a calculation formula for the temperature stability index and temperature uniformity index of a hot bed platform includes:

[0031]

[0032] The TSI formula uses an exponential function to standardize the discreteness of the temperature at each point. By normalizing the square difference between the temperature of each sampling point and the average temperature and adjusting the weight through the standard deviation, the formula can effectively quantify the stability of temperature fluctuations; the TUI formula calculates the ratio of the relative average temperature through a simple maximum and minimum deviation, which can directly reflect the non-uniformity of the surface temperature of the hot bed and is an intuitive indicator for measuring this non-uniformity.

[0033] Among them, the is the temperature stability index, is the temperature of the i-th position, is the average temperature of all locations, which serves as a benchmark for measuring the temperature distribution of the entire hot bed. is the temperature standard deviation of all the locations, reflecting the degree of dispersion of the temperatures of all the locations, and is used to evaluate the fluctuation range of temperature changes. is the temperature uniformity index, is the maximum temperature of all locations, is the minimum temperature of all locations.

[0034] Calculating the temperature stability index and temperature uniformity index is crucial to improving the 3D printing process. On the one hand, good temperature stability means that the hot bed can provide a consistent heating effect, which helps to avoid material cooling and shrinkage and deformation of printed parts due to temperature fluctuations. In addition, temperature uniformity is crucial to ensure that the printed material adheres evenly to the hot bed, which can reduce local overheating or overcooling of the hot bed, thereby improving the overall quality of the printed part. Through these indices, a quantitative evaluation of the hot bed performance can be achieved, and then the heating configuration of the equipment can be optimized to improve the reliability and accuracy of printing.

[0035] S203, calculating a heat flow stability index and a heat flow uniformity index of the hot bed platform according to the heat flow data, so as to evaluate the heat flow dynamics of the hot bed platform; Based on the heat flow data, the heat flow stability index (QSI) and heat flow uniformity index (QUI) of the hot bed platform are calculated to evaluate the heat flow dynamics of the hot bed platform. The key to this step is to quantify the stability and uniformity of the heat flow by analyzing the heat flow data of each position point. The heat flow stability index is used to measure the ability of the hot bed to maintain a stable heat flow over a period of time. By evaluating the fluctuation of the heat flow at different positions, it provides a quantitative indicator that reflects the overall heat flow stability. The heat flow uniformity index is used to compare the difference between the highest and lowest heat flows, and the ratio to the average heat flow measures the consistency of the heat flow distribution. These two indices can fully capture the dynamic characteristics of the heat flow of the hot bed during operation, and provide a basis for evaluating and optimizing the heating performance of the hot bed.

[0036] Specifically, a calculation formula for a heat flow stability index and a heat flow uniformity index includes:

[0037]

[0038] Similarly, the QSI formula uses an exponential expression to standardize and quantify the degree of dispersion of heat flux at each location of the hot bed. By comparing the square difference between the heat flux at each sampling point and the average heat flux, and using the heat flux standard deviation for weight adjustment, this formula provides a reliable quantitative tool for heat flux stability; the QUI formula directly measures the consistency of heat flux distribution by the relative difference between the maximum and minimum heat flux values, taking the average heat flux as the benchmark, and provides a unitless and standardized uniformity indicator.

[0039] Among them, the is the heat flow stability index, is the heat flow at the ith position, is the average heat flow at all locations, is the standard deviation of heat flow at all locations, n is the number of locations, is the heat flux uniformity index, is the maximum heat flow at all locations, is the minimum heat flux at all locations.

[0040] Calculating the heat flow stability index and heat flow uniformity index is of great significance in improving the efficiency and reliability of the 3D printing process. First of all, stable heat flow is the basis for ensuring uniform heating and consistent adhesion of materials, which can significantly reduce the risk of uneven material processing caused by heat flow fluctuations, thereby improving the quality and structural integrity of printed parts. Secondly, uniform heat flow distribution ensures the heat transfer efficiency of each area of ​​the hot bed, avoids local overheating or overcooling, and ensures that the printed material receives consistent heat support throughout the printing area. Through the monitoring and analysis of these indices, the necessary feedback information can be provided for the optimization of the equipment's heat flow management and heating strategy, ultimately improving the overall performance and service life of the printer.

[0041] S204, calculating a thermal environment monitoring index of the hot bed platform according to the temperature stability index and the temperature uniformity index, the heat flow stability index and the heat flow uniformity index, so as to evaluate the overall heating performance of the hot bed platform; In this process, the heating performance of the hot bed platform is comprehensively evaluated from multiple angles by comprehensively analyzing the temperature and heat flow data. The Heat Environment Monitoring Index (HEMI) provides a comprehensive indicator that can quantify the temperature and heat flow characteristics of the hot bed in actual operation. First, the temperature stability index and temperature uniformity index reflect the fluctuation and distribution of temperature, while the heat flow stability index and heat flow uniformity index reveal the stability and uniformity of heat flow transfer. By weighting these indices to form an overall thermal environment monitoring index, the heating effect of the hot bed platform and its impact on the printing process can be accurately evaluated.

[0042] Specifically, the temperature monitoring index of the hot bed platform can be calculated according to the temperature stability index and the temperature uniformity index to evaluate the influence of temperature on the overall heating performance; In this step, the temperature monitoring index (TMI) is first calculated using the temperature stability index (TSI) and temperature uniformity index (TUI) described above. The temperature monitoring index can reflect the degree to which the temperature stability and uniformity of the hot bed platform during the heating process affect the overall heating performance. This calculation process takes into account the temperature data of multiple locations, thus providing a comprehensive perspective for evaluating the temperature characteristics of the hot bed platform. The design of the formula combines the nonlinear relationship of temperature stability and uniformity, allowing the index to sensitively respond to the potential impact of temperature changes.

[0043] By calculating the Temperature Monitoring Index (TMI), it is possible to accurately determine the extent to which the temperature performance of the hot bed affects the heating effect. This is critical to ensuring print quality, as uneven or fluctuating temperatures may cause poor adhesion, deformation or other defects in the printed parts. TMI evaluation helps engineers identify deficiencies in temperature management so that they can take necessary optimization measures to improve product quality and production efficiency.

[0044] Exemplarily, a temperature monitoring index TMI may be:

[0045] in, : The corresponding weight coefficients represent the different importance of temperature stability and uniformity. These coefficients need to be adjusted and optimized according to the specific application. A small positive number to prevent the denominator from being 0.

[0046] The formula design processes the temperature stability index through inverse operation to highlight the importance of stability. At the same time, the temperature uniformity index is processed in the form of exponential decay, so that the influence of uniformity on the overall heating performance presents a nonlinear decreasing characteristic. This formula structure can more carefully reflect the influence of temperature characteristics on the overall heating performance. The reciprocal of TSI in the inverse operation processing does mean that the larger the TSI (indicating the more stable the temperature), the smaller the contribution to the temperature monitoring index (TMI). Corresponding to TUI, the smaller the value, the more uniform the temperature. The good influence brought by this uniformity is usually compensated in the formula through penalty terms (such as nonlinear processing of non-uniformity). Generally, the more stable and uniform the temperature, the smaller the impact on the overall heating performance, so the smaller the TMI in the design means the lower the impact. The expression of this influence may need to consider other environmental variables in practical applications, but stability and uniformity are the direct driving factors at the core.

[0047] Calculating the heat flow monitoring index of the hot bed platform according to the heat flow stability index and the heat flow uniformity index to evaluate the influence of the heat flow on the overall heating performance; In this step, the heat flow monitoring index (HFMI) is calculated based on the heat flow stability index (QSI) and the heat flow uniformity index (QUI). The heat flow monitoring index evaluates the heat flow characteristics of the hot bed platform during the heating process by analyzing the stability and uniformity of the heat flow. Through the specific calculation formula, the direct impact of the heat flow on the heating effect under various conditions can be revealed, and the deficiencies in the heat flow distribution can be found, which is crucial for uniform heating of printing.

[0048] Calculating the Heat Flow Monitoring Index (HFMI) provides a deep understanding of the role of heat flow in the overall heating performance during the actual printing process. Uniform and stable heat flow is an important factor in ensuring printing quality. The evaluation results of HFMI can effectively guide operators to optimize heating strategies to ensure that the hot bed can provide ideal heat flow to support high-precision printing tasks. Monitoring and adjusting heat flow can help reduce failures and material waste, thereby improving production efficiency.

[0049] Exemplarily, a heat flow monitoring index HFMI may be:

[0050] The formula is Dealing with the heat flow stability index (QSI), this inverse form means that the larger the QSI (i.e. the more stable the heat flow), the smaller the contribution to the HFMI, emphasizing the reduction in the impact of heat flow stability on overall performance. The form deals with the heat flux uniformity index (QUI), where is an adjustment factor, and the square of QUI further amplifies the adverse effects of uniformity. This design emphasizes the important role of uniformity in affecting heating consistency by nonlinearly penalizing nonuniformity. A larger QSI indicates a more stable heat flux and less impact on heating performance. A smaller QUI indicates a more uniform heat flux distribution, which is beneficial to improving heating performance.

[0051] The temperature monitoring index and the heat flow monitoring index are weighted to obtain a thermal environment monitoring index of the hot bed platform.

[0052] In this step, the calculated temperature monitoring index (TMI) and heat flow monitoring index (HFMI) are weighted. The purpose of weighting is to combine the importance of these two indicators to the overall heating performance to form a comprehensive thermal environment monitoring index (HEMI). Weighting allows the influence of different indicators to be reflected in a more reasonable proportion, thereby improving the accuracy and representativeness of the final result. Set appropriate weight coefficients to adapt to different types of printing tasks and material characteristics to ensure that the results are more targeted.

[0053] The calculation of the Thermal Environment Monitoring Index (HEMI) provides a comprehensive evaluation tool for the overall heating performance of the printer. By comprehensively considering the monitoring indicators of temperature and heat flow, HEMI can fully reflect the heating effect of the hot bed, thereby achieving higher stability and reliability in the production process. Through this comprehensive index, operators can quickly identify the performance status of the hot bed, adjust the heating parameters in time, improve printing quality, reduce error rate, and thus optimize production efficiency and material utilization.

[0054] Exemplarily, a thermal environment monitoring index may be:

[0055] Among them, inverse operation and nonlinear processing: :The inverse operation process of temperature monitoring index TMI emphasizes the importance of temperature stability and uniformity; : The heat flow monitoring index HFMI is processed by square root and then the inverse is taken, which increases the nonlinear characteristics and amplifies the high sensitivity to heat flow. Combination Items: :Emphasis on the interactive effect of temperature and heat flux, especially the compound effect of high heat flux changes on temperature monitoring, to ensure a comprehensive reflection of the thermal environment dynamics of the hot bed platform. Weighting Factor: Three weight factors are used to adjust the influence of each part on the overall index. They can be adjusted according to actual needs to adapt to different application scenarios and equipment requirements.

[0056] Calculating the thermal environment monitoring index is of great practical significance for optimizing the overall heating performance of the hot bed platform. First of all, the comprehensive thermal environment monitoring index can provide a comprehensive assessment of the hot bed performance, help discover potential uneven heating or unstable problems, and make timely adjustments. This not only helps to improve the quality and consistency of prints, but also significantly reduces printing failures and scrap rates. Secondly, accurate monitoring and evaluation data can provide a scientific basis for equipment maintenance, extend the service life of the equipment, and reduce operating costs. Through continuous monitoring of the thermal environment monitoring index, the heating strategy can be dynamically optimized to ensure that the hot bed platform is always in the best heating state to meet the needs of high-precision printing.

[0057] S205, taking the temperature data and heat flow data as original data, packaging the temperature stability index and temperature uniformity index, the heat flow stability index and heat flow uniformity index, and the thermal environment monitoring index as processed data, and obtaining a thermal environment data set that is finally collected and processed.

[0058] In the data packaging step, the printer's hot bed platform collects temperature data and heat flow data on the platform surface in real time through built-in temperature sensors and heat flow sensors. The temperature data and heat flow data are regarded as raw data, representing the detailed thermal distribution state at a specific moment. These raw data are used to obtain the temperature stability index, temperature uniformity index, heat flow stability index, and heat flow uniformity index through a series of calculations. These indices represent the stability and uniformity characteristics of the temperature and heat flow on the surface of the hot bed, and they are called processed data. In order to facilitate storage, analysis, and transmission, these raw data and processed data are packaged into a comprehensive data set, called the thermal environment data set, which provides a comprehensive view of the thermal performance of the hot bed platform.

[0059] The step of packaging the thermal environment data set is the basis for realizing the performance monitoring and optimization of the hot bed platform. By packaging the raw data and processed data into one data set, the process of data storage and transmission can be simplified, while providing a comprehensive and quantifiable hot bed performance evaluation framework. This not only helps to monitor the equipment status in real time, but also provides an important basis for subsequent data analysis and fault diagnosis. Through systematic data management, the printer can effectively identify and solve hot bed heating problems and improve printing accuracy and quality.

[0060] Furthermore, after obtaining the thermal environment data set that is finally collected and processed, each data in the thermal environment data set may be compared with a preset threshold value corresponding to the data to determine whether there is abnormal data; In this step, each item in the thermal environment data set can be checked to determine whether it exceeds the previously set safety or performance thresholds. These thresholds are usually set based on the ideal operating state of the hot bed, and their purpose is to identify anomalies in the data. Through real-time comparison, any data that deviates from the normal range can be immediately discovered, indicating possible technical problems or failures.

[0061] The significance of this step is to be able to quickly identify and respond to abnormal conditions of the hot bed platform. By comparing with the preset threshold, abnormal data in operation can be detected in time to prevent the problem from expanding or negatively affecting the print quality. This real-time abnormality detection mechanism not only improves the reliability and safety of the equipment, but also provides early warning for maintenance personnel, thereby reducing downtime and saving maintenance costs.

[0062] During the implementation process, each data item that needs to be monitored can be first extracted from the thermal environment data set. Then, each data item is compared with the threshold value set in advance in the database. The threshold value can be set based on historical data, manufacturer recommendations, or industry standards. Once a data item is found to exceed the threshold, the system will record the anomaly and generate an alarm message. The alarm message can include a timestamp, the specific value of the data item, the threshold range, and the possible impact. This information is then transmitted to the control terminal for further processing and analysis.

[0063] If there is abnormal data, an early warning message is sent to the control terminal of the printer so that the control terminal optimizes the configuration parameters of the hot bed platform and returns to execute the step of real-time monitoring of the temperature data and heat flow data of multiple position points on the surface of the hot bed platform during operation through the temperature sensor and heat flow sensor of the hot bed platform integrated in the printer until the obtained thermal environment data set does not contain abnormal data.

[0064] When abnormal data is detected, the system will automatically generate an early warning message and send it to the printer's control terminal. The control terminal analyzes the alarm information to determine how to optimize the configuration parameters of the hot bed platform to eliminate these anomalies. Optimization can involve existing technical means such as adjusting the power of the heating element, correcting the temperature set point, or adjusting other related parameters. The system will also restart monitoring the temperature and heat flow after the adjustment to ensure the effectiveness of the optimization measures until the data returns to the normal range.

[0065] By sending early warning information and automatically optimizing parameters as soon as an abnormality is detected, the system increases the speed of response to problems, reduces manual intervention, and improves the degree of automation. This closed-loop feedback mechanism ensures that the printer can continue to operate in the best condition, reduces defective products and resource waste caused by temperature abnormalities, and extends the service life of the equipment.

[0066] When implementing this step, the system first detects abnormal data and generates early warning information, which is transmitted to the control terminal through the internal communication protocol. After receiving the information, the control terminal evaluates the type of abnormal data, and based on the abnormal data, uses the preset abnormal data and optimization instruction mapping table to execute the corresponding optimization instructions, such as adjusting the PID controller parameters, modifying the output power of the heater, or recalibrating the sensor, etc. Subsequently, the terminal instructs the hot bed to re-enter the real-time monitoring state and continue to collect temperature and heat flow data. Through this continuous monitoring and adjustment cycle, it is ensured that all data returns to normal and remains stable until there is no abnormal data. Among them, the mapping table can only record the mapping relationship between common abnormal data and optimization instructions. For data with very few abnormalities, an alarm notification can be sent to the terminal's operation and maintenance personnel to manually check the fault and implement optimization, so as to achieve a combination of automatic optimization and manual optimization and improve the comprehensiveness of optimization.

[0067] It can be seen that the temperature data and heat flow data of multiple positions on the surface of the hot bed platform during real-time monitoring are obtained; the temperature stability index and the temperature uniformity index are calculated based on the temperature data; the heat flow stability index and the heat flow uniformity index are calculated based on the heat flow data; the thermal environment monitoring index is calculated based on the temperature stability index and the temperature uniformity index, the heat flow stability index and the heat flow uniformity index; the temperature data and heat flow data are used as original data, and the temperature stability index and the temperature uniformity index, the heat flow stability index and the heat flow uniformity index, and the thermal environment monitoring index are packaged as processed data to obtain a thermal environment data set, so that through systematic multi-parameter monitoring and comprehensive index evaluation, data collection and intelligent management of the printer hot bed platform can be realized, which is helpful to improve the processing accuracy of 3D printers, improve printing quality, and extend the service life of the equipment.

[0068] Another embodiment of the present invention provides a data acquisition system for a hot bed platform of a printer, see Figure 3 , the system may include: The monitoring module 301 is used to monitor the temperature data and heat flow data of multiple positions on the surface of the hot bed platform in real time during operation through the temperature sensor and heat flow sensor integrated in the hot bed platform of the printer, so as to capture the temperature distribution and heat flow dynamics of the hot bed surface in real time; A first evaluation module 302 is used to calculate the temperature stability index and the temperature uniformity index of the hot bed platform according to the temperature data to evaluate the temperature distribution of the hot bed platform; A second evaluation module 303 is used to calculate the heat flow stability index and the heat flow uniformity index of the hot bed platform according to the heat flow data, so as to evaluate the heat flow dynamics of the hot bed platform; A third evaluation module 304 is used to calculate the thermal environment monitoring index of the hot bed platform according to the temperature stability index and the temperature uniformity index, the heat flow stability index and the heat flow uniformity index, so as to evaluate the overall heating performance of the hot bed platform; The acquisition module 305 is used to take the temperature data and heat flow data as raw data, and package the temperature stability index and temperature uniformity index, the heat flow stability index and heat flow uniformity index, and the thermal environment monitoring index as processed data to obtain the final collected and processed thermal environment data set.

[0069] It can be seen that the temperature data and heat flow data of multiple positions on the surface of the hot bed platform during real-time monitoring are obtained; the temperature stability index and the temperature uniformity index are calculated based on the temperature data; the heat flow stability index and the heat flow uniformity index are calculated based on the heat flow data; the thermal environment monitoring index is calculated based on the temperature stability index and the temperature uniformity index, the heat flow stability index and the heat flow uniformity index; the temperature data and heat flow data are used as original data, and the temperature stability index and the temperature uniformity index, the heat flow stability index and the heat flow uniformity index, and the thermal environment monitoring index are packaged as processed data to obtain a thermal environment data set, so that through systematic multi-parameter monitoring and comprehensive index evaluation, data collection and intelligent management of the printer hot bed platform can be realized, which is helpful to improve the processing accuracy of 3D printers, improve printing quality, and extend the service life of the equipment.

[0070] An embodiment of the present invention further provides a storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0071] Specifically, in this embodiment, the above storage medium may be configured to store a computer program for performing the following steps: S201, using a temperature sensor and a heat flow sensor integrated in the hot bed platform of the printer, real-time monitoring of temperature data and heat flow data of multiple positions on the surface of the hot bed platform during operation, so as to capture the temperature distribution and heat flow dynamics of the hot bed surface in real time; S202, calculating a temperature stability index and a temperature uniformity index of the hot bed platform according to the temperature data to evaluate the temperature distribution of the hot bed platform; S203, calculating a heat flow stability index and a heat flow uniformity index of the hot bed platform according to the heat flow data, so as to evaluate the heat flow dynamics of the hot bed platform; S204, calculating a thermal environment monitoring index of the hot bed platform according to the temperature stability index and the temperature uniformity index, the heat flow stability index and the heat flow uniformity index, so as to evaluate the overall heating performance of the hot bed platform; S205, taking the temperature data and heat flow data as original data, packaging the temperature stability index and temperature uniformity index, the heat flow stability index and heat flow uniformity index, and the thermal environment monitoring index as processed data, and obtaining a thermal environment data set that is finally collected and processed.

[0072] It can be seen that the temperature data and heat flow data of multiple positions on the surface of the hot bed platform during real-time monitoring are obtained; the temperature stability index and the temperature uniformity index are calculated based on the temperature data; the heat flow stability index and the heat flow uniformity index are calculated based on the heat flow data; the thermal environment monitoring index is calculated based on the temperature stability index and the temperature uniformity index, the heat flow stability index and the heat flow uniformity index; the temperature data and heat flow data are used as original data, and the temperature stability index and the temperature uniformity index, the heat flow stability index and the heat flow uniformity index, and the thermal environment monitoring index are packaged as processed data to obtain a thermal environment data set, so that through systematic multi-parameter monitoring and comprehensive index evaluation, data collection and intelligent management of the printer hot bed platform can be realized, which is helpful to improve the processing accuracy of 3D printers, improve printing quality, and extend the service life of the equipment.

[0073] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0074] Specifically, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0075] Specifically, in this embodiment, the processor may be configured to perform the following steps through a computer program: S201, using a temperature sensor and a heat flow sensor integrated in the hot bed platform of the printer, real-time monitoring of temperature data and heat flow data of multiple positions on the surface of the hot bed platform during operation, so as to capture the temperature distribution and heat flow dynamics of the hot bed surface in real time; S202, calculating a temperature stability index and a temperature uniformity index of the hot bed platform according to the temperature data to evaluate the temperature distribution of the hot bed platform; S203, calculating a heat flow stability index and a heat flow uniformity index of the hot bed platform according to the heat flow data, so as to evaluate the heat flow dynamics of the hot bed platform; S204, calculating a thermal environment monitoring index of the hot bed platform according to the temperature stability index and the temperature uniformity index, the heat flow stability index and the heat flow uniformity index, so as to evaluate the overall heating performance of the hot bed platform; S205, taking the temperature data and heat flow data as original data, packaging the temperature stability index and temperature uniformity index, the heat flow stability index and heat flow uniformity index, and the thermal environment monitoring index as processed data, and obtaining a thermal environment data set that is finally collected and processed.

[0076] It can be seen that the temperature data and heat flow data of multiple positions on the surface of the hot bed platform during real-time monitoring are obtained; the temperature stability index and the temperature uniformity index are calculated based on the temperature data; the heat flow stability index and the heat flow uniformity index are calculated based on the heat flow data; the thermal environment monitoring index is calculated based on the temperature stability index and the temperature uniformity index, the heat flow stability index and the heat flow uniformity index; the temperature data and heat flow data are used as original data, and the temperature stability index and the temperature uniformity index, the heat flow stability index and the heat flow uniformity index, and the thermal environment monitoring index are packaged as processed data to obtain a thermal environment data set, so that through systematic multi-parameter monitoring and comprehensive index evaluation, data collection and intelligent management of the printer hot bed platform can be realized, which is helpful to improve the processing accuracy of 3D printers, improve printing quality, and extend the service life of the equipment.

[0077] The above describes in detail the structure, features and effects of the present invention based on the embodiments shown in the drawings. The above is only a preferred embodiment of the present invention, but the present invention is not limited to the scope of implementation shown in the drawings. Any changes made according to the concept of the present invention, or modifications to equivalent embodiments with equivalent changes, which still do not exceed the spirit covered by the description and drawings, should be within the protection scope of the present invention.

Claims

1. A method for collecting data from a hot bed platform of a printer, characterized in that: The method comprises: The temperature sensor and heat flow sensor integrated in the printer's hot bed platform monitor the temperature and heat flow data of multiple positions on the hot bed platform surface during operation in real time, so as to capture the temperature distribution and heat flow dynamics of the hot bed surface in real time; Calculating the temperature stability index and the temperature uniformity index of the hot bed platform according to the temperature data to evaluate the temperature distribution of the hot bed platform; Calculating the heat flow stability index and the heat flow uniformity index of the hot bed platform according to the heat flow data to evaluate the heat flow dynamics of the hot bed platform; Calculating the thermal environment monitoring index of the hot bed platform according to the temperature stability index and the temperature uniformity index, the heat flow stability index and the heat flow uniformity index, so as to evaluate the overall heating performance of the hot bed platform; The temperature data and heat flow data are taken as raw data, and the temperature stability index and temperature uniformity index, the heat flow stability index and heat flow uniformity index, and the thermal environment monitoring index are packaged as processed data to obtain a final collected and processed thermal environment data set.

2. The method according to claim 1, characterized in that The calculation formulas for the temperature stability index and temperature uniformity index of the hot bed platform include: Among them, the is the temperature stability index, is the temperature of the i-th position, is the average temperature of all locations, is the temperature standard deviation of all locations, n is the number of locations, is the temperature uniformity index, is the maximum temperature of all locations, is the minimum temperature of all locations.

3. The method according to claim 2, characterized in that The calculation formulas of the heat flow stability index and the heat flow uniformity index include: Among them, the is the heat flow stability index, is the heat flow at the ith position, is the average heat flow at all locations, is the standard deviation of heat flow at all locations, n is the number of locations, is the heat flux uniformity index, is the maximum heat flow at all locations, is the minimum heat flux at all locations.

4. The method according to claim 3, characterized in that: The step of calculating the thermal environment monitoring index of the hot bed platform according to the temperature stability index and the temperature uniformity index, the heat flow stability index and the heat flow uniformity index comprises: Calculating the temperature monitoring index of the hot bed platform according to the temperature stability index and the temperature uniformity index to evaluate the influence of temperature on the overall heating performance; Calculating the heat flow monitoring index of the hot bed platform according to the heat flow stability index and the heat flow uniformity index to evaluate the influence of the heat flow on the overall heating performance; The temperature monitoring index and the heat flow monitoring index are weighted to obtain a thermal environment monitoring index of the hot bed platform.

5. The method according to claim 4, characterized in that The method further comprises: Compare each data in the thermal environment data set with a preset threshold value corresponding to the data to determine whether there is abnormal data; If there is abnormal data, an early warning message is sent to the control terminal of the printer so that the control terminal optimizes the configuration parameters of the hot bed platform and returns to execute the step of real-time monitoring of the temperature data and heat flow data of multiple position points on the surface of the hot bed platform during operation through the temperature sensor and heat flow sensor of the hot bed platform integrated in the printer until the obtained thermal environment data set contains no abnormal data.

6. A printer hot bed platform data acquisition system, characterized in that: The system comprises: The monitoring module is used to monitor the temperature data and heat flow data of multiple positions on the surface of the hot bed platform in real time during operation through the temperature sensor and heat flow sensor integrated in the hot bed platform of the printer, so as to capture the temperature distribution and heat flow dynamics of the hot bed surface in real time; A first evaluation module is used to calculate the temperature stability index and the temperature uniformity index of the hot bed platform according to the temperature data, so as to evaluate the temperature distribution of the hot bed platform; A second evaluation module is used to calculate the heat flow stability index and the heat flow uniformity index of the hot bed platform according to the heat flow data, so as to evaluate the heat flow dynamics of the hot bed platform; A third evaluation module is used to calculate the thermal environment monitoring index of the hot bed platform according to the temperature stability index and the temperature uniformity index, the heat flow stability index and the heat flow uniformity index, so as to evaluate the overall heating performance of the hot bed platform; The acquisition module is used to take the temperature data and heat flow data as raw data, package the temperature stability index and temperature uniformity index, the heat flow stability index and heat flow uniformity index, and the thermal environment monitoring index as processed data, and obtain the final collected and processed thermal environment data set.

7. The system according to claim 6, characterized in that The calculation formulas for the temperature stability index and temperature uniformity index of the hot bed platform include: Among them, the is the temperature stability index, is the temperature of the i-th position, is the average temperature of all locations, is the temperature standard deviation of all locations, n is the number of locations, is the temperature uniformity index, is the maximum temperature of all locations, is the minimum temperature of all locations.

8. The system according to claim 7, characterized in that The calculation formulas of the heat flow stability index and the heat flow uniformity index include: Among them, the is the heat flow stability index, is the heat flow at the ith position, is the average heat flow at all locations, is the standard deviation of heat flow at all locations, n is the number of locations, is the heat flux uniformity index, is the maximum heat flow at all locations, is the minimum heat flux at all locations.

9. A storage medium, characterized in that: The storage medium stores a computer program, wherein the computer program is configured to execute the method according to any one of claims 1 to 5 when executed.

10. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to run the computer program to perform the method according to any one of claims 1 to 5.

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