Aluminum bar surface temperature monitoring system and method

Abstract

The invention provides an aluminum bar surface temperature monitoring system and method, and belongs to the technical field of temperature monitoring, and the system comprises a coefficient determination module which obtains the geometrical shape of an aluminum bar, and determines a matrix scanning coefficient in combination with a preset temperature distribution expectation; the track acquisition module is used for determining a temperature measurement track of the temperature probe based on the matrix scanning coefficient; according to the temperature distribution acquisition module, a temperature probe moves based on a temperature measurement track, and temperature acquisition is carried out at each preset measurement point; the gradient acquisition module is used for analyzing the collected temperature data to obtain a plurality of effective temperature points and determining the temperature gradient of the surface of the aluminum bar based on the temperature data of the effective temperature points; and the report generation module is used for correcting the temperature gradient based on the environment data and a preset compensation algorithm so as to generate a monitoring report of the surface temperature of the aluminum bar. And temperature control in industrial production is optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of temperature monitoring, and in particular to a system and method for monitoring the surface temperature of an aluminum rod. Background Art

[0002] As industrial production places higher demands on metal processing technology, the heating and cooling process of aluminum bars requires strict control of temperature distribution to ensure product quality. However, existing aluminum bar temperature monitoring methods mostly rely on manual or fixed-point measurements, which not only have poor real-time performance, but also make it difficult to fully obtain the temperature gradient distribution, resulting in limited accuracy and difficulty in meeting high-precision production requirements.

[0003] In existing technical solutions, some devices use single-point or a small number of point temperature probes for monitoring, but they can only obtain local temperature and it is difficult to accurately monitor the temperature distribution of the entire aluminum bar surface. In addition, these solutions usually lack environmental compensation algorithms, and the measurement results are easily affected by the external temperature, resulting in reduced accuracy.

[0004] Therefore, the present invention provides a system and method for monitoring the surface temperature of an aluminum rod. Summary of the invention

[0005] The present invention provides an aluminum rod surface temperature monitoring system and method, which are used to realize comprehensive and accurate monitoring of the aluminum rod surface temperature through trajectorized temperature probe measurement combined with matrix scanning coefficient and environmental compensation algorithm, and can generate temperature gradient report in real time, effectively improve the coverage and accuracy of temperature measurement, and optimize temperature control in industrial production.

[0006] The present invention provides an aluminum rod surface temperature monitoring system, comprising: Coefficient determination module: obtains the geometric shape of the aluminum bar and determines the matrix scanning coefficient in combination with the preset temperature distribution expectation; Trajectory acquisition module: determines the temperature measurement trajectory of the temperature probe based on the matrix scanning coefficient; Temperature distribution acquisition module: The temperature probe moves based on the temperature measurement trajectory and collects temperature at each preset measurement point; Gradient acquisition module: analyzes the collected temperature data to obtain several effective temperature points, and determines the temperature gradient on the surface of the aluminum rod based on the temperature data of the effective temperature points; Report generation module: Corrects the temperature gradient based on environmental data and preset compensation algorithm, and then generates a monitoring report on the surface temperature of the aluminum rod.

[0007] The present invention provides an aluminum bar surface temperature monitoring system, a coefficient determination module, comprising: Parameter acquisition unit: obtains the geometric shape parameters of the aluminum rod through preset technology; Model building unit: building a temperature distribution prediction diagram based on the preset production process requirements of the aluminum bar; Data analysis unit: Analyze the expected temperature distribution diagram and determine several temperature measurement points on the surface of the aluminum rod; Coefficient determination unit: Determine the matrix scanning coefficient based on the geometric shape parameters of the aluminum rod and the relevant data of the temperature measurement points.

[0008] The present invention provides an aluminum rod surface temperature monitoring system, a coefficient determination unit, comprising: The first determination subunit determines the longitudinal scanning coefficient and the circumferential scanning coefficient based on the geometric shape parameters of the aluminum rod and the relevant data of the temperature measurement points; ; ;in, is the longitudinal scanning coefficient, L is the length of the aluminum bar, is the number of longitudinal temperature measurement points, k is the curvature coefficient of the aluminum bar, is the preset curvature adjustment coefficient, is the preset temperature adjustment coefficient, is the current aluminum bar temperature, is the circumferential scanning coefficient, R is the radius of the aluminum rod, is the number of circumferential temperature measurement points, C is the thermal conductivity coefficient of the preset aluminum rod, is the preset heat transfer control coefficient.

[0009] The second determination subunit: determines the matrix scanning coefficient based on the longitudinal scanning coefficient, the circumferential scanning coefficient, the geometric shape parameters of the aluminum bar and the relevant data of the temperature measurement point: ;in, is the matrix scanning coefficient, is the real-time temperature change rate of the aluminum bar, k1 is the preset basic curvature threshold, k2 is the preset segmented curvature threshold, k3 is the preset maximum curvature threshold, It is the preset segment curvature control coefficient.

[0010] The present invention provides an aluminum bar surface temperature monitoring system and a trajectory acquisition module, comprising: Coefficient analysis unit: determines the moving interval and direction of the temperature probe based on the longitudinal scanning coefficient and the circumferential scanning coefficient; Matrix generation unit: The moving interval and direction of the temperature probe generate the temperature measurement matrix; Mode determination unit: determines the matrix scanning mode based on the matrix scanning coefficient and a preset coefficient-mode database; Trajectory generation unit: generates temperature measurement trajectory in the temperature measurement matrix based on the matrix scanning mode.

[0011] The present invention provides an aluminum rod surface temperature monitoring system and a gradient acquisition module, comprising: Threshold determination unit: analyzes the collected temperature data to obtain a temperature judgment threshold; Temperature judgment unit: when the temperature of the temperature measuring point is greater than the temperature judgment threshold, the temperature measuring point is determined as a valid temperature point; Gradient determination unit: determines the temperature gradient on the surface of the aluminum rod based on the temperature data of the effective temperature point.

[0012] The present invention provides an aluminum bar surface temperature monitoring system and a report generating module, comprising: Gradient correction unit: Corrects the temperature gradient based on environmental data and preset compensation algorithms: ; in, is the temperature gradient after compensation, is the original temperature gradient, is the real-time ambient temperature, is the humidity compensation coefficient, is the ambient temperature compensation coefficient, is the preset reference ambient temperature, is the real-time ambient humidity, To preset the reference humidity, is the preset ambient temperature index compensation coefficient, It is the preset humidity index compensation coefficient.

[0013] Data correction unit: corrects the temperature data of the effective temperature point based on the corrected temperature gradient; Distribution map generating unit: generating a temperature distribution map based on the corrected effective temperature point data; Report generation unit: Generates monitoring report based on the corrected temperature gradient and temperature distribution map.

[0014] The present invention provides an aluminum bar surface temperature monitoring system and a monitoring report, including: Key parameters of temperature measurement, environmental parameters, compensation algorithm data, temperature gradient analysis and chart analysis data.

[0015] The present invention provides a method for monitoring the surface temperature of an aluminum bar, comprising: Step 1: Obtain the geometry of the aluminum bar and determine the matrix scanning coefficient based on the preset temperature distribution expectation; Step 2: Determine the temperature measurement trajectory of the temperature probe based on the matrix scanning coefficient; Step 3: The temperature probe moves based on the temperature measurement trajectory and collects temperature at each preset measurement point; Step 4: Analyze the collected temperature data to obtain several effective temperature points, and determine the temperature gradient on the surface of the aluminum rod based on the temperature data of the effective temperature points; Step 5: Correct the temperature gradient based on the environmental data and the preset compensation algorithm, and then generate a monitoring report on the surface temperature of the aluminum rod.

[0016] Compared with the prior art, the present invention has the following beneficial effects: Through the traced temperature probe measurement, combined with the matrix scanning coefficient and environmental compensation algorithm, the surface temperature of the aluminum rod can be fully and accurately monitored. The temperature gradient report can be generated in real time, which effectively improves the coverage and accuracy of temperature measurement and optimizes the temperature control in industrial production. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 It is a structural schematic diagram of an aluminum rod surface temperature monitoring system provided by an embodiment of the present invention.

[0019] Figure 2 It is a flow chart of a method for monitoring the surface temperature of an aluminum rod provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] Example 1 The embodiment of the present invention provides an aluminum rod surface temperature monitoring system, comprising: Coefficient determination module: obtains the geometric shape of the aluminum bar and determines the matrix scanning coefficient in combination with the preset temperature distribution expectation; Trajectory acquisition module: determines the temperature measurement trajectory of the temperature probe based on the matrix scanning coefficient; Temperature distribution acquisition module: The temperature probe moves based on the temperature measurement trajectory and collects temperature at each preset measurement point; Gradient acquisition module: analyzes the collected temperature data to obtain several effective temperature points, and determines the temperature gradient on the surface of the aluminum rod based on the temperature data of the effective temperature points; Report generation module: Corrects the temperature gradient based on environmental data and preset compensation algorithm, and then generates a monitoring report on the surface temperature of the aluminum rod.

[0022] In this embodiment, the geometric shape refers to the specific shape and size parameters of the aluminum rod, such as length, diameter, cross-sectional shape, etc. These parameters determine the temperature measurement path and measurement point distribution of the temperature probe. For example, for a cylindrical aluminum rod with a diameter of 10 cm and a length of 1 m, its geometric shape is a cylinder; In this embodiment, the preset temperature distribution expectation refers to an ideal temperature distribution model set according to the process requirements or production specifications of the aluminum bar, so that the system can judge the temperature change. For example, during the heating process of the aluminum bar, the expected temperature distribution may be a linear temperature distribution that gradually decreases from one end to the other. This distribution model can be used to compare and analyze the temperature data measured in real time; In this embodiment, the matrix scanning coefficient is a set of parameters used to guide the temperature probe to perform layered scanning on the surface of the aluminum bar. These coefficients are usually related to the geometry of the aluminum bar, the spacing of the measurement points, etc. If a uniform scan is required on the surface of the aluminum bar, the matrix scanning coefficient can be set to a grid based on the length and diameter of the aluminum bar, such as a 10x10 matrix, that is, 10 scanning points are distributed in each row and column.

[0023] In this embodiment, the temperature measurement track is the path of the temperature probe moving on the surface of the aluminum rod, ensuring that the probe covers all predetermined measurement points. If the temperature probe adopts a spiral path, it can move clockwise along the surface of the aluminum rod from one end to gradually cover the entire surface, thereby improving the measurement coverage.

[0024] In this embodiment, the preset measurement points are collection positions pre-planned by the system on the surface of the aluminum rod to ensure the uniformity and adequacy of data distribution. If the measurement points are set at intervals of 5 cm on the surface of the aluminum rod, then an aluminum rod with a diameter of 10 cm and a length of 1 meter may contain 200 measurement points, and the system will collect temperature data at each point.

[0025] In this embodiment, the effective temperature point refers to the measurement point that is determined to have reference value after preliminary analysis and is used to calculate the temperature gradient. For example, during the measurement process, if the temperature of some points is abnormal (such as data caused by probe jitter or environmental interference), these points may be excluded, and other stable data points are used as effective temperature points to participate in the calculation of the temperature gradient; In this embodiment, the temperature gradient refers to the change in the surface temperature of the aluminum rod at different positions, which is obtained by analyzing the data of the effective temperature points. If the temperature at one end is 500°C and the other end is 300°C, the temperature gradient along the length direction is 200°C. The temperature gradient provides a basis for the uniformity of equipment operation and the heating effect.

[0026] In this embodiment, the compensation algorithm is a data correction method that takes into account factors such as ambient temperature and equipment errors to correct the temperature gradient to ensure the accuracy of the results. If the monitored ambient temperature is at a higher or lower value, it may affect the actual temperature measurement of the aluminum rod surface. The compensation algorithm will adjust the collected temperature data according to the changes in ambient temperature to eliminate external influences.

[0027] The beneficial effects of the above technical solution are: through the trajectory temperature probe measurement, combined with the matrix scanning coefficient and environmental compensation algorithm, comprehensive and accurate monitoring of the surface temperature of the aluminum rod can be achieved, and a temperature gradient report can be generated in real time, which effectively improves the coverage and accuracy of temperature measurement and optimizes temperature control in industrial production.

[0028] Example 2 An embodiment of the present invention provides an aluminum rod surface temperature monitoring system, including a coefficient determination module, the coefficient determination module including: Parameter acquisition unit: obtains the geometric shape parameters of the aluminum rod through preset technology; Model building unit: building a temperature distribution prediction diagram based on the preset production process requirements of the aluminum bar; Data analysis unit: Analyze the expected temperature distribution diagram and determine several temperature measurement points on the surface of the aluminum rod; Coefficient determination unit: Determine the matrix scanning coefficient based on the geometric shape parameters of the aluminum rod and the relevant data of the temperature measurement points.

[0029] In this embodiment, the preset technology refers to the technical means and methods used in the aluminum bar surface temperature monitoring system. These technologies have been determined and verified before the system is built to ensure the accuracy and effectiveness of the acquired parameters. For example, a laser rangefinder or a 3D scanner can be used to accurately measure the size and shape of the aluminum bar, so that its geometric shape parameters can be obtained. These technologies are widely used in the aluminum processing industry to ensure that the production of aluminum bars meets the standards.

[0030] In this embodiment, the geometric shape parameters refer to the numerical characteristics that describe the shape and size of the aluminum rod, including length, diameter, thickness, cross-sectional shape, etc., which affect the arrangement and measurement accuracy of the temperature probe. For example, for a cylindrical aluminum rod with a diameter of 10 cm and a length of 1 meter, its geometric shape parameters include: diameter: 10 cm, length: 1 meter, cross-sectional shape: round.

[0031] In this embodiment, the preset production process requirements refer to the temperature, heating and cooling rates and other related indicators of the aluminum bar during the processing process, which are set according to the production process and product quality standards. For example, in the heat treatment process of the aluminum bar, the preset production process requirements may stipulate: heating temperature: 450°C, cooling rate: 10°C per minute; In this embodiment, the expected temperature distribution diagram is a diagram or model that simulates or calculates the temperature distribution at different positions during the aluminum rod processing process based on preset production process requirements. It is usually used to guide actual measurement and analysis. If the target temperature of one end of the aluminum rod is heated to 500°C and the other end is 300°C, the expected temperature distribution diagram may show: heating end (0 cm): 500°C, middle (50 cm): 400°C, cooling end (100 cm): 300°C.

[0032] The beneficial effects of the above technical solution are: through parameter acquisition, model construction and data analysis, the intelligent and precise monitoring of the aluminum bar surface temperature is realized. The parameter acquisition unit ensures the accuracy of the aluminum bar geometry data, the model construction unit generates the expected temperature distribution diagram based on the production process requirements, the data analysis unit effectively identifies the key temperature measurement points, and the coefficient determination unit combines the geometric parameters with the temperature measurement point data to innovatively optimize the matrix scanning coefficient, thereby improving the adaptability and accuracy of the monitoring system.

[0033] Example 3 Based on Example 2, an embodiment of the present invention provides an aluminum rod surface temperature monitoring system, including a coefficient determination module, and the coefficient determination module includes a coefficient determination unit, and the coefficient determination unit includes: The first determination subunit determines the longitudinal scanning coefficient and the circumferential scanning coefficient based on the geometric shape parameters of the aluminum rod and the relevant data of the temperature measurement points; ; ;in, is the longitudinal scanning coefficient, L is the length of the aluminum bar, is the number of longitudinal temperature measurement points, k is the curvature coefficient of the aluminum bar, is the preset curvature adjustment coefficient, is the preset temperature adjustment coefficient, is the current aluminum bar temperature, is the circumferential scanning coefficient, R is the radius of the aluminum rod, is the number of circumferential temperature measurement points, C is the thermal conductivity coefficient of the preset aluminum rod, is the preset heat transfer control coefficient.

[0034] The second determination subunit: determines the matrix scanning coefficient based on the longitudinal scanning coefficient, the circumferential scanning coefficient, the geometric shape parameters of the aluminum bar and the relevant data of the temperature measurement point: ;in, is the matrix scanning coefficient, is the real-time temperature change rate of the aluminum bar, k1 is the preset basic curvature threshold, k2 is the preset segmented curvature threshold, k3 is the preset maximum curvature threshold, It is the preset segment curvature control coefficient.

[0035] In this embodiment, the longitudinal scanning coefficient is used to describe the temperature measurement distribution along the length direction of the aluminum bar; In this embodiment, the circumferential scanning coefficient is used to describe the temperature measurement distribution around the circumference of the aluminum rod. This coefficient takes into account the radius of the aluminum rod, the number of circumferential temperature measurement points, and the heat conduction characteristics. In this embodiment, the preset curvature adjustment coefficient is used to adjust the influence of the curvature change of the aluminum rod on the temperature measurement to ensure the measurement accuracy. If the curvature of the aluminum rod at different positions varies greatly, the preset curvature adjustment coefficient can be set to 0.8 to reduce the influence of the curvature on the measurement; In this embodiment, the preset temperature adjustment coefficient is used to adjust according to the temperature change of the aluminum rod to improve the accuracy of temperature measurement. For example, in high temperature operation, the preset temperature adjustment coefficient is set to 1.1 to compensate for the influence of temperature change on measurement; In this embodiment, the preset heat conduction control coefficient is used to adjust the influence of the heat conduction characteristics of the material on the temperature measurement. If the thermal conductivity of the aluminum rod material is high, the preset heat conduction control coefficient can be set to 0.9 to reduce the interference of heat conduction on the measurement. The beneficial effect of the above technical solution is that through the combination of the first determination subunit and the second determination subunit, accurate coefficient determination based on the aluminum bar geometry and temperature measurement point data is achieved. The solution innovatively combines the longitudinal and circumferential scanning coefficients with real-time temperature changes, effectively optimizes the matrix scanning coefficients, improves the adaptability and accuracy of temperature monitoring, and not only improves the efficiency of data collection, but also enhances the system's application capabilities under complex aluminum bar shapes.

[0036] Example 4 The embodiment of the present invention provides an aluminum bar surface temperature monitoring system, including a trajectory acquisition module, the trajectory acquisition module including: Coefficient analysis unit: determines the moving interval and direction of the temperature probe based on the longitudinal scanning coefficient and the circumferential scanning coefficient; Matrix generation unit: The moving interval and direction of the temperature probe generate the temperature measurement matrix; Mode determination unit: determines the matrix scanning mode based on the matrix scanning coefficient and a preset coefficient-mode database; Trajectory generation unit: generates temperature measurement trajectory in the temperature measurement matrix based on the matrix scanning mode.

[0037] In this embodiment, the moving interval and direction of the temperature probe refer to the moving step length and path of the temperature probe when measuring the temperature on the surface of the aluminum rod. The moving interval determines the distance between the temperature measurement points, while the direction determines the moving route of the probe. Assuming that the longitudinal scanning coefficient is 10 and the circumferential scanning coefficient is 5, the temperature probe may move once every 10 mm in the longitudinal direction and once every 5 degrees in the circumferential direction. The moving direction can be a straight line along the length of the aluminum rod or a spiral line.

[0038] In this embodiment, the temperature measurement matrix is ​​a two-dimensional structure used to represent the temperature data measured by the temperature probe on the surface of the aluminum rod. Each element of the matrix corresponds to the temperature value of a temperature measurement point. If the measurement is performed in a 10×10 area, the temperature measurement matrix may be as follows:

[0039] in, Represents the temperature value of the i-th row and j-th column.

[0040] In this embodiment, the preset coefficient-mode database is a database storing different coefficient combinations and corresponding scanning modes, and is used to quickly select a suitable scanning mode. For example, the database may contain the following entries: the mode corresponding to the coefficient combination (10, 5): spiral scanning, the mode corresponding to the coefficient combination (8, 4): linear scanning; In this embodiment, the matrix scanning mode refers to the specific path and order of temperature measurement in the temperature measurement matrix. It is selected according to different coefficient combinations and preset modes. For example, in the spiral scanning mode, the temperature probe may move along a spiral path from the center of the matrix outward; in the linear scanning mode, the probe may move along a straight line parallel to the rows or columns of the matrix.

[0041] In this embodiment, the temperature measurement track generated in the temperature measurement matrix based on the matrix scanning mode refers to planning a specific moving path of the temperature probe in the temperature measurement matrix according to the selected matrix scanning mode, so as to obtain comprehensive temperature data. If the spiral scanning mode is selected, the temperature measurement track may start from the center of the matrix and gradually expand outward along the spiral line until the entire matrix area is covered. This ensures that all temperature measurement points are accessed.

[0042] The beneficial effects of the above technical solution are: through coefficient analysis, matrix generation and pattern determination, accurate trajectory planning of the temperature probe on the surface of the aluminum rod is achieved. Combined with the coefficient-pattern database, the scanning mode and trajectory are automatically optimized, which significantly improves the coverage and accuracy of temperature measurement, reduces the measurement blind area, and provides efficient path management for aluminum rod surface temperature monitoring.

[0043] Example 5 The embodiment of the present invention provides an aluminum rod surface temperature monitoring system, including a gradient acquisition module, the gradient acquisition module including: Threshold determination unit: analyzes the collected temperature data to obtain a temperature judgment threshold; Temperature judgment unit: when the temperature of the temperature measuring point is greater than the temperature judgment threshold, the temperature measuring point is determined as a valid temperature point; Gradient determination unit: determines the temperature gradient on the surface of the aluminum rod based on the temperature data of the effective temperature point.

[0044] In this embodiment, the temperature judgment threshold is a preset temperature value used to distinguish between valid and invalid temperature measurement points. When monitoring the surface temperature of the aluminum bar, only the temperature measurement points that exceed this threshold are considered valid. This helps to filter out noise or irrelevant temperature data and ensure the accuracy of the analysis. Assume that during the processing of the aluminum bar, the ambient temperature is 25°C, and the surface temperature of the aluminum bar is usually higher than 50°C. The temperature judgment threshold can be set to 40°C. In this way, only those temperature measurement points with a temperature higher than 40°C are considered valid temperature points. If the temperature recorded at a certain temperature measurement point is 45°C, because 45°C>40°C, this point is considered a valid temperature point. If the temperature recorded at another temperature measurement point is 35°C, because 35°C<40°C, this point is considered an invalid temperature point and is not used for subsequent temperature gradient calculations.

[0045] The beneficial effect of the above technical solution is that through the combination of threshold determination, temperature judgment and gradient determination, efficient screening and accurate gradient determination of the surface temperature of the aluminum rod are achieved. The innovation lies in the intelligent identification of effective temperature points, which makes the gradient calculation more accurate and reduces the interference of invalid data, thereby improving the accuracy and response speed of temperature monitoring.

[0046] Example 6 An embodiment of the present invention provides an aluminum bar surface temperature monitoring system, including a report generation module, the report generation module including: Gradient correction unit: Corrects the temperature gradient based on environmental data and preset compensation algorithms: ;in, is the temperature gradient after compensation, is the original temperature gradient, is the real-time ambient temperature, is the humidity compensation coefficient, is the ambient temperature compensation coefficient, is the preset reference ambient temperature, is the real-time ambient humidity, To preset the reference humidity, is the preset ambient temperature index compensation coefficient, It is the preset humidity index compensation coefficient.

[0047] Data correction unit: corrects the temperature data of the effective temperature point based on the corrected temperature gradient; Distribution map generating unit: generating a temperature distribution map based on the corrected effective temperature point data; Report generation unit: Generates monitoring report based on the corrected temperature gradient and temperature distribution map.

[0048] In this embodiment, the humidity compensation coefficient is used to correct the error in the temperature gradient caused by the change in ambient humidity. By considering the difference between the real-time humidity and the preset reference humidity, the measurement data is adjusted to improve the accuracy. Assuming that the reference humidity is 50%, the real-time humidity is 60%, and the humidity compensation coefficient is 0.1, if the humidity causes the temperature measurement deviation, the humidity compensation coefficient needs to be applied to adjust the temperature gradient; In this embodiment, the ambient temperature compensation coefficient is used to correct the error in the temperature gradient caused by the ambient temperature change. By comparing the real-time ambient temperature with the preset reference ambient temperature, the corresponding temperature correction is performed. Assuming that the reference ambient temperature is 20°C and the real-time ambient temperature is 25°C, the ambient temperature compensation coefficient is 0.2; In this embodiment, the preset ambient temperature exponential compensation coefficient is a coefficient for exponential level temperature compensation, taking into account the nonlinear effect of ambient temperature on measurement. It can adjust the temperature gradient more finely. If the preset ambient temperature exponential compensation coefficient is 0.05, it means that when the ambient temperature changes, the adjustment of the temperature gradient needs to consider exponential compensation; In this embodiment, the preset humidity index compensation coefficient is used for exponential level humidity compensation, taking into account the nonlinear effect of humidity on the measurement results. Through exponential compensation, the temperature gradient can be corrected more accurately. For example, if the preset humidity index compensation coefficient is 0.03, when the humidity changes significantly, this coefficient is used to make a more complex correction to the temperature gradient.

[0049] In this embodiment, the temperature distribution diagram is a visualization tool for displaying the temperature distribution of different areas on the surface of the aluminum rod. For example, the generated temperature distribution diagram may show that certain areas on the surface of the aluminum rod have higher temperatures (indicated by red), while other areas have lower temperatures (indicated by blue). Such a diagram can intuitively reflect the temperature gradient and distribution, facilitating analysis and decision-making.

[0050] The beneficial effects of the above technical solution are: by accurately compensating for the temperature gradient and combining it with real-time environmental data, the accuracy of aluminum bar surface temperature monitoring is significantly improved, the effective temperature points are corrected to ensure the reliability of temperature data, and the corrected data is visualized to make temperature changes clear at a glance, facilitating the rapid identification of abnormal areas. The final monitoring report provides comprehensive analysis results to help optimize production processes and quality control.

[0051] Example 7 An embodiment of the present invention provides an aluminum rod surface temperature monitoring system, including a report generation module, and the monitoring report generated by the report generation module includes: key parameters of temperature measurement, environmental parameters, compensation algorithm data, temperature gradient analysis data and chart analysis data.

[0052] In this embodiment, the key parameters of temperature measurement include basic values ​​that affect the measurement accuracy and results of the aluminum rod surface temperature, including: the temperature value of the temperature measurement point, the temperature measurement accuracy, the measurement frequency and the measurement range; In this embodiment, the environmental parameters refer to the environmental conditions recorded during the measurement process. These conditions may affect the accuracy of the temperature measurement, so these parameters need to be considered during analysis and compensation, including: ambient temperature, ambient humidity: humidity level during measurement, such as 40% relative humidity, air pressure, and wind speed; In this embodiment, the compensation algorithm data includes an algorithm and a correlation coefficient for correcting the temperature measurement result. These data are used to reduce the interference of environmental factors on the measurement accuracy and improve the accuracy of the final measurement data, including: humidity compensation coefficient, ambient temperature compensation coefficient, ambient temperature index compensation coefficient and humidity index compensation coefficient; In this embodiment, the temperature gradient data is the result of analyzing the temperature changes and gradients of various areas on the surface of the aluminum rod, which is used to show the trends and differences of temperature changes in different areas, including: temperature gradient, temperature change trend: such as the trend of gradual increase or decrease of temperature in a certain area, high and low temperature area identification: marking areas with high or low temperatures to help identify parts with uneven temperature distribution; In this embodiment, the graphical analysis data is to visualize the temperature measurement, environmental impact, and compensation-corrected data, and the graphical display facilitates a more intuitive understanding of the temperature distribution and gradient changes, including the following contents: temperature distribution diagram: showing the distribution of temperature at each point on the surface of the aluminum rod, temperature gradient diagram, time-temperature curve, and bar chart or pie chart: used to show the overall distribution of temperature measurement data, such as the temperature proportion or average temperature value of each area.

[0053] The beneficial effect of the above technical solution is that by combining the key parameters of temperature measurement, environmental parameters and compensation algorithms, the surface temperature of the aluminum bar can be accurately monitored and error corrected. Its innovation lies in the use of temperature gradient analysis and multi-dimensional chart visualization to make temperature distribution and trends more intuitive, help quickly identify abnormal temperature areas, optimize process control, and improve product quality and production efficiency.

[0054] Example 8 The embodiment of the present invention provides a method for monitoring the surface temperature of an aluminum bar, comprising: Step 1: Obtain the geometry of the aluminum bar and determine the matrix scanning coefficient based on the preset temperature distribution expectation; Step 2: Determine the temperature measurement trajectory of the temperature probe based on the matrix scanning coefficient; Step 3: The temperature probe moves based on the temperature measurement trajectory and collects temperature at each preset measurement point; Step 4: Analyze the collected temperature data to obtain several effective temperature points, and determine the temperature gradient on the surface of the aluminum rod based on the temperature data of the effective temperature points; Step 5: Correct the temperature gradient based on the environmental data and the preset compensation algorithm, and then generate a monitoring report on the surface temperature of the aluminum rod.

[0055] The beneficial effects of the above technical solution are: through the trajectory temperature probe measurement, combined with the matrix scanning coefficient and environmental compensation algorithm, comprehensive and accurate monitoring of the surface temperature of the aluminum rod can be achieved, and a temperature gradient report can be generated in real time, which effectively improves the coverage and accuracy of temperature measurement and optimizes temperature control in industrial production.

[0056] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0057] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0058] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An aluminum bar surface temperature monitoring system, characterized in that: include: Coefficient determination module: obtains the geometric shape of the aluminum bar and determines the matrix scanning coefficient in combination with the preset temperature distribution expectation; Trajectory acquisition module: determines the temperature measurement trajectory of the temperature probe based on the matrix scanning coefficient; Temperature distribution acquisition module: The temperature probe moves based on the temperature measurement trajectory and collects temperature at each preset measurement point; Gradient acquisition module: analyzes the collected temperature data to obtain several effective temperature points, and determines the temperature gradient on the surface of the aluminum rod based on the temperature data of the effective temperature points; Report generation module: Corrects the temperature gradient based on environmental data and preset compensation algorithm, and then generates a monitoring report on the surface temperature of the aluminum rod.

2. The aluminum rod surface temperature monitoring system according to claim 1 is characterized in that: The coefficient determination module comprises: Parameter acquisition unit: obtains the geometric shape parameters of the aluminum rod through preset technology; Model building unit: building a temperature distribution prediction diagram based on the preset production process requirements of the aluminum bar; Data analysis unit: Analyze the expected temperature distribution diagram and determine several temperature measurement points on the surface of the aluminum rod; Coefficient determination unit: Determine the matrix scanning coefficient based on the geometric shape parameters of the aluminum rod and the relevant data of the temperature measurement points.

3. The aluminum rod surface temperature monitoring system according to claim 2 is characterized in that: The coefficient determination unit comprises: The first determination subunit determines the longitudinal scanning coefficient and the circumferential scanning coefficient based on the geometric shape parameters of the aluminum rod and the relevant data of the temperature measurement points; ； ； in, is the longitudinal scanning coefficient, L is the length of the aluminum bar, is the number of longitudinal temperature measurement points, k is the curvature coefficient of the aluminum bar, is the preset curvature adjustment coefficient, is the preset temperature adjustment coefficient, is the current aluminum bar temperature, is the circumferential scanning coefficient, R is the radius of the aluminum rod, is the number of circumferential temperature measurement points, C is the thermal conductivity coefficient of the preset aluminum rod, is the preset heat transfer control coefficient.

4. The second determination subunit: Determine the matrix scanning coefficient based on the longitudinal scanning coefficient, the circumferential scanning coefficient, the geometric shape parameters of the aluminum bar and the relevant data of the temperature measurement point: ； in, is the matrix scanning coefficient, is the real-time temperature change rate of the aluminum bar, k1 is the preset basic curvature threshold, k2 is the preset segmented curvature threshold, k3 is the preset maximum curvature threshold, It is the preset segment curvature control coefficient.

5. The aluminum rod surface temperature monitoring system according to claim 3 is characterized in that: The trajectory acquisition module comprises: Coefficient analysis unit: determines the moving interval and direction of the temperature probe based on the longitudinal scanning coefficient and the circumferential scanning coefficient; Matrix generation unit: generates a temperature measurement matrix based on the moving interval and direction of the temperature probe; Mode determination unit: determines the matrix scanning mode based on the matrix scanning coefficient and a preset coefficient-mode database; Trajectory generation unit: generates temperature measurement trajectory in the temperature measurement matrix based on the matrix scanning mode.

6. The aluminum rod surface temperature monitoring system according to claim 1, characterized in that: The gradient acquisition module comprises: Threshold determination unit: analyzes the collected temperature data to obtain a temperature judgment threshold; Temperature judgment unit: when the temperature of the temperature measuring point is greater than the temperature judgment threshold, the temperature measuring point is determined as a valid temperature point; Gradient determination unit: determines the temperature gradient on the surface of the aluminum rod based on the temperature data of the effective temperature point.

7. The aluminum rod surface temperature monitoring system according to claim 1 is characterized in that: The report generation module includes: Gradient correction unit: Corrects the temperature gradient based on environmental data and preset compensation algorithms: ； in, is the temperature gradient after compensation, is the original temperature gradient, is the real-time ambient temperature, is the humidity compensation coefficient, is the ambient temperature compensation coefficient, is the preset reference ambient temperature, is the real-time ambient humidity, To preset the reference humidity, is the preset ambient temperature index compensation coefficient, It is the preset humidity index compensation coefficient; Data correction unit: corrects the temperature data of the effective temperature point based on the corrected temperature gradient; Distribution map generating unit: generating a temperature distribution map based on the corrected effective temperature point data; Report generation unit: Generates monitoring report based on the corrected temperature gradient and temperature distribution map.

8. The aluminum rod surface temperature monitoring system according to claim 6, characterized in that: The monitoring report includes: Key parameters of temperature measurement, environmental parameters, compensation algorithm data, temperature gradient data analysis, and chart analysis data.

9. A method for monitoring the surface temperature of an aluminum bar, characterized in that: include: Step 1: Obtain the geometry of the aluminum bar and determine the matrix scanning coefficient based on the preset temperature distribution expectation; Step 2: Determine the temperature measurement trajectory of the temperature probe based on the matrix scanning coefficient; Step 3: The temperature probe moves based on the temperature measurement trajectory and collects temperature at each preset measurement point; Step 4: Analyze the collected temperature data to obtain several effective temperature points, and determine the temperature gradient on the surface of the aluminum rod based on the temperature data of the effective temperature points; Step 5: Correct the temperature gradient based on the environmental data and the preset compensation algorithm, and then generate a monitoring report on the surface temperature of the aluminum rod.

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