A temperature monitoring system for flowing molten metal

Abstract

This application relates to the technical field of temperature measurement, and particularly to a temperature monitoring system for flowing molten metal. It includes: an acquisition module configured to acquire the temperature value and flow velocity of a temperature monitoring point in the flowing molten metal collected by a temperature sensor; a first determination module configured to determine multiple target temperature monitoring points closest to a target position point; a construction module configured to construct a Lagrange basis polynomial corresponding to the target temperature monitoring points; a second determination module configured to determine the weight corresponding to the target temperature monitoring points according to the flow velocity of the target temperature monitoring points; a third determination module configured to obtain the temperature value of the target position point according to the weight, temperature value, and Lagrange basis polynomial corresponding to the target temperature monitoring points, so as to monitor the temperature value of the target position point. Through the above technical solutions, the real-time performance of monitoring the temperature of the target position point in the flowing molten metal can be improved.

Description

Technical Field

[0001] This application relates to the technical field of temperature measurement, and particularly relates to a temperature monitoring system for flowing molten metal. Background Art

[0002] Flowing molten metal refers to metals or metal alloys in a liquid state during industrial production and scientific experiments. Flowing molten metal can be used to cast various metal products, such as automotive parts and components of mechanical equipment; or, it can be used to fill weld seams during the welding process; metal ores can be reduced to flowing molten metal during the smelting process to achieve the purification of metals.

[0003] The temperature of the flowing molten metal in a container can be measured through temperature sensors such as thermocouples. However, due to the different distances between different parts of the flowing molten metal and the heat source, or the different heat dissipation conditions of different parts of the flowing molten metal, there are temperature differences between different parts of the flowing molten metal.

[0004] In order to measure the temperatures of different parts of the flowing molten metal, in related technologies, for example, in the Chinese patent application document with the publication number CN115717942A, a liquid metal temperature and liquid level measuring device is provided, including a controller, a temperature measurer, and a driving mechanism. The temperature measurer is vertically arranged, and the driving mechanism is in transmission connection with the temperature measurer for driving the temperature measurer to move up and down; the temperature measurer and the driving mechanism are respectively in communication connection with the controller.

[0005] In related technologies, by changing the position of the temperature measurer, the measurement of different parts of the liquid metal in the container is realized, but it is difficult to realize the real-time measurement of the temperatures of different parts of the liquid metal, and the real-time performance of monitoring the temperatures of different parts of the liquid metal is relatively low. Summary of the Invention

[0006] To overcome the problem of low real-time performance in monitoring the temperatures of different parts of liquid metal in related technologies, the present application provides a temperature monitoring system for flowing molten metal, including: an acquisition module configured to acquire the temperature value of a temperature monitoring point in the flowing molten metal collected by a temperature sensor, and acquire the flow velocity of the flowing molten metal at the temperature monitoring point, where the temperature monitoring point is a position point in the flowing molten metal contacted by the temperature sensor; a first determination module configured to determine, from multiple temperature monitoring points, multiple target temperature monitoring points that are closest to a target position point; the target position point being any position point in the flowing molten metal not contacted by the temperature sensor; a construction module configured to use the position coordinates of the target temperature monitoring points as independent variables and the temperature values of the target temperature monitoring points as dependent variables to construct Lagrange basis polynomials corresponding to the target temperature monitoring points; a second determination module configured to determine the weight corresponding to the target temperature monitoring point according to the flow velocity of the target temperature monitoring point; a third determination module configured to perform a weighted sum of the Lagrange basis polynomials of multiple target temperature monitoring points according to the weight and temperature value corresponding to the target temperature monitoring point to obtain the temperature value of the target position point, so as to monitor the temperature value of the target position point.

[0007] In this way, multiple target temperature monitoring points that are closest to the target position point are determined from multiple temperature monitoring points, and Lagrange basis polynomials corresponding to the target temperature monitoring points are constructed to obtain Lagrange interpolation polynomials in combination with the flow velocities of the target temperature monitoring points. The temperature value of the target position point can be obtained according to the Lagrange interpolation polynomials corresponding to multiple target temperature monitoring points. Obtaining the temperature value of the target position point improves the real-time performance of temperature acquisition compared with changing the position measured by the temperature sensor. Therefore, the real-time performance of monitoring the temperature of the target position point in the flowing molten metal can be improved.

[0008] Optionally, the second determination module is further configured to perform the following steps: determine the average flow velocity of the flowing molten metal at multiple temperature monitoring points according to the flow velocities of the flowing molten metal at multiple temperature monitoring points; use the ratio between the magnitude of the flow velocity of the target temperature monitoring point and the magnitude of the average flow velocity as the local flow coefficient of the target temperature monitoring point; obtain the correlation coefficient between the temperature values of the target temperature monitoring point and the nearest other temperature monitoring point, and use the ratio of the correlation coefficient to the local flow coefficient as the weight corresponding to the target temperature monitoring point.

[0009] In this way, using the ratio of the correlation coefficient to the local flow coefficient as the weight corresponding to the target temperature monitoring point can enable the obtained weight to comprehensively consider the correlation coefficient between different temperature monitoring points and the influence of the fluidity of the flowing molten metal on the temperature value, so as to obtain a more accurate temperature value of the target position point.

[0010] Optionally, the second determination module is further configured to perform the following steps: using the historical temperature value dataset of the target temperature monitoring point within the historical time period as the first dataset, and using the historical temperature value dataset of the other temperature monitoring point closest to the target temperature monitoring point within the historical time period as the second dataset; using the Pearson correlation coefficient between the first dataset and the second dataset as the correlation coefficient of the target temperature monitoring point and the closest other temperature monitoring point in terms of temperature values.

[0011] In this way, the Pearson correlation coefficient can better characterize the correlation degree between the temperature values of two different temperature monitoring points within the historical time period, so as to more accurately determine the temperature value of the target position point at the current moment.

[0012] Optionally, the temperature value of the target position point is obtained by the following method: , is the temperature value corresponding to the position coordinate d of the target position point, N is the number of target temperature monitoring points, is the temperature value of the i-th target temperature monitoring point, norm is the normalization processing function, is the weight corresponding to the i-th target temperature monitoring point, is the value of the Lagrange basis polynomial corresponding to the i-th target temperature monitoring point at the position coordinate d.

[0013] In this way, according to the flow velocities of the flowing molten metal at multiple flow velocity monitoring points adjacent to the temperature monitoring point, the flow velocity of the flowing molten metal at the temperature monitoring point is determined. Even when the temperature monitoring point and the flow velocity monitoring point are at different positions in the flowing molten metal, the flow velocity of the flowing molten metal at the temperature monitoring point can be better determined.

[0014] Optionally, the acquisition module is further configured to perform the following steps: obtaining the flow velocities of the flowing molten metal at multiple flow velocity monitoring points through a flow velocity sensor; the flow velocity monitoring point is the position point directly measured by the flow velocity sensor, and the flow velocity includes the flow direction and the flow rate; determining the flow velocity of the flowing molten metal at the temperature monitoring point according to the flow velocities of the flowing molten metal at multiple flow velocity monitoring points adjacent to the temperature monitoring point.

[0015] The flow velocity sensor can be an ultrasonic flowmeter. Since the flow magnitudes or flow rates at different positions inside the flowing molten metal may be different, by contacting the detection point of the flow velocity sensor with the flow velocity monitoring point inside the flowing molten metal, the measurement of the flow velocity at the flow velocity monitoring point can be realized.

[0016] The flow velocity monitoring points can be respectively located at different horizontal or vertical positions inside the flowing molten metal, so as to achieve multi-level measurement of the flow velocity inside the flowing molten metal; alternatively, since the flow of the flowing molten metal mainly comes from the inflow or outflow of the flowing molten metal, the flow velocity monitoring points can be set at key positions such as the outlet or inlet of the flowing molten metal, and corresponding flow velocity monitoring points are adaptively set at other positions in the flowing molten metal except the key positions. This will not be elaborated in the embodiments of the present application.

[0017] In this way, according to the flow velocities of the flowing molten metal at multiple flow velocity monitoring points adjacent to the temperature monitoring point, the flow velocity of the flowing molten metal at the temperature monitoring point is determined. Even when the temperature monitoring point and the flow velocity monitoring point are located at different positions in the flowing molten metal, the flow velocity of the flowing molten metal at the temperature monitoring point can be better determined.

[0018] Optionally, the Lagrange basis polynomial corresponding to the target temperature monitoring point is obtained by the following method: , is the value of the Lagrange basis polynomial corresponding to the i-th target temperature monitoring point at the position coordinate d, N is the number of target temperature monitoring points, is the position coordinate of the j-th target temperature monitoring point, is the product operator.

[0019] Optionally, the system further includes a prompting module, and the prompting module is configured to perform the following steps: determine the target temperature range corresponding to the position coordinate of the target position point from multiple temperature ranges; in the case where the temperature value at the target position point is outside the target temperature range, output a prompt message, and the prompt message is used to prompt that the temperature value at the target position point is outside the target temperature range.

[0020] Optionally, the system further includes a display module, and the third determining module is further configured to perform the following steps: generate a temperature distribution map of the flowing molten metal according to the temperature values of multiple target position points and the temperature values of multiple temperature monitoring points in the flowing molten metal; the temperature distribution map includes the temperature values of different position points inside the container of the flowing molten metal; send the temperature distribution map to the display module so that the display module can display the temperature distribution map.

[0021] In this way, through the display of the temperature distribution map by the display module, the user can more intuitively observe the possible temperature anomalies in the flowing molten metal. Compared with the user's self-analysis of the temperature distribution in the flowing molten metal, the difficulty for the user to monitor the temperature of the flowing molten metal can be reduced.

[0022] The technical solution provided by the embodiments of the present application may include the following beneficial effects: determining multiple target temperature monitoring points closest to the target position point from multiple temperature monitoring points, and constructing Lagrange basis polynomials corresponding to the target temperature monitoring points, so as to combine the flow velocities of the target temperature monitoring points to obtain Lagrange interpolation polynomials. According to the Lagrange interpolation polynomials corresponding to the multiple target temperature monitoring points, the temperature value of the target position point can be obtained. Obtaining the temperature value of the target position point improves the real-time performance of temperature acquisition compared with changing the position measured by the temperature sensor. Therefore, the real-time performance of monitoring the temperature of the target position point in the flowing metal can be improved.

[0023] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The accompanying drawings herein are incorporated into the specification and constitute a part of this specification, showing embodiments consistent with the present application, and are used together with the specification to explain the principles of the present application.

[0025] Figure 1 is a schematic structural diagram of a temperature monitoring system for flowing molten metal shown according to an exemplary embodiment;

[0026] Figure 2 is a schematic structural diagram of another temperature monitoring system for flowing molten metal shown according to an exemplary embodiment;

[0027] Figure 3 is a schematic structural diagram of yet another temperature monitoring system for flowing molten metal shown according to an exemplary embodiment. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0028] Here, the exemplary embodiments will be described in detail, and the examples are shown in the accompanying drawings. When the following description refers to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application.

[0029] First, a brief introduction to the application scenario of the embodiments of the present application is given. In the application scenario of the present application, in a container of flowing metal in a liquid state, due to the different distances between different parts of the flowing metal and the heat source, for example, the temperature of the molten metal closer to the heat source is higher; or the heat dissipation conditions of different parts of the flowing metal are different, for example, the heat dissipation condition at the outlet of the container of the flowing metal may be better, resulting in different actual temperatures of different parts in the flowing molten metal.

[0030] Since there are differences in the actual temperatures of different parts in the flowing molten metal, the temperature is mainly measured by the temperature measurement points of the temperature sensor in contact with the flowing molten metal. In order to measure different parts in the flowing molten metal, the position of the temperature sensor for temperature measurement can be changed. However, changing the position of the temperature sensor requires a certain amount of time, and only one position point inside the flowing molten metal can be measured at the same moment. It is difficult to measure multiple position points inside the flowing molten metal simultaneously.

[0031] Even if more temperature sensors are used to measure multiple position points inside the flowing molten metal simultaneously, the temperature sensors can only measure the temperature of the position points they contact relatively accurately, and it will be difficult to obtain the temperature values of the position points not contacted by the temperature sensors. Therefore, it is difficult to achieve real-time monitoring of the temperatures of different position points inside the flowing molten metal.

[0032] To address the above technical problems, the embodiments of the present application provide a temperature monitoring system for flowing molten metal, which can monitor the temperatures of different position points inside the container of the flowing molten metal. Figure 1 It is a schematic structural diagram of a temperature monitoring system for flowing molten metal shown according to an exemplary embodiment, as Figure 1 shown. The temperature monitoring system 1000 for flowing molten metal includes: an acquisition module 1100, a first determination module 1200, a construction module 1300, a second determination module 1400, and a third determination module 1500.

[0033] The acquisition module 1100 is configured to acquire the temperature value of the temperature monitoring point in the flowing molten metal collected by the temperature sensor, and acquire the flow velocity of the flowing molten metal at the temperature monitoring point, where the temperature monitoring point is the position point in the flowing molten metal contacted by the temperature sensor.

[0034] The acquisition module 1100 can achieve the acquisition of the temperature value of the temperature monitoring point at the current moment, and the acquisition of the flow velocity of the flowing molten metal at the temperature monitoring point at the current moment. The flow velocity of the flowing molten metal can include the flow direction and the flow rate during flow.

[0035] By the acquisition module 1100 acquiring the temperature value and the flow velocity, it is convenient for other modules of the temperature monitoring system 1000 for flowing molten metal to call the temperature value and the flow velocity, so as to determine the acquisition of the temperature value of any position point in the flowing molten metal at the current moment. Among them, the temperature sensor can adopt sensors such as thermocouple sensors and optical fiber sensors.

[0036] The first determination module 1200 is configured to determine a plurality of target temperature monitoring points that are the closest to the target position point from among a plurality of temperature monitoring points; the target position point is any position point in the flowing molten metal that is not contacted by the temperature sensor.

[0037] The temperature monitoring points in the flowing molten metal can be distributed at different horizontal positions or vertical positions in the flowing molten metal to achieve temperature acquisition of position points at different levels in the flowing molten metal. The number of temperature monitoring points of the flowing molten metal can be set according to actual requirements.

[0038] For example, a plurality of temperature sensors can be arranged at the outlet position, the inlet position of the container of the flowing molten metal, and other positions inside the container to achieve acquisition of the temperature values of a plurality of temperature monitoring points of the flowing molten metal.

[0039] The target position point is any position point in the flowing molten metal that is not contacted by the temperature sensor. Since the target position point is not in direct contact with the temperature sensor, for example, the target position point is not within the distance range where the temperature sensor can perform temperature monitoring, it is impossible to accurately measure the temperature value of the target position point through the temperature sensor. A plurality of target temperature monitoring points that are the closest to the target position point can be selected to obtain the temperature value of the target position point.

[0040] The number of the selected plurality of target temperature monitoring points that are the closest to the target position point can be determined according to actual requirements. For example, the number of the plurality of target temperature monitoring points can be between 3 and 6.

[0041] The construction module 1300 is configured to use the position coordinates of the target temperature monitoring points as independent variables and the temperature values of the target temperature monitoring points as dependent variables to construct Lagrange basis polynomials corresponding to the target temperature monitoring points.

[0042] Since the selected plurality of target temperature monitoring points are the plurality of temperature monitoring points that are the closest to the target position point, there is a certain correlation between the temperature value of the target position point and the temperature values of the plurality of target temperature monitoring points. To facilitate determination of the temperature value of the target position point, Lagrange basis polynomials can be constructed based on the position coordinates and temperature values.

[0043] The Lagrange basis polynomial is a component of the Lagrange interpolation polynomial in the Lagrange interpolation method. Different data points have corresponding Lagrange basis polynomials. For example, when the number of target temperature monitoring points corresponding to the target position point is 4, 4 Lagrange basis polynomials corresponding to the 4 target temperature monitoring points can be obtained to determine the temperature value corresponding to the target position point based on the values of the target position point in these 4 Lagrange basis polynomials.

[0044] The second determination module 1400 is configured to determine the weight corresponding to the target temperature monitoring point according to the flow velocity of the target temperature monitoring point.

[0045] The flow condition of the flowing molten metal has an impact on the heat conduction of the flowing molten metal, so that the flow condition of the flowing molten metal affects the temperatures at different positions in the flowing molten metal. Or, the fluidity of the liquid metal is different at different temperatures, so that the flow condition of the liquid metal can reflect the temperature of the liquid metal. Therefore, the corresponding weight can be assigned to the target temperature monitoring point according to the flow velocity of the target temperature monitoring point, so as to determine the temperature value of the target position point.

[0046] The third determination module 1500 is configured to perform a weighted summation of the Lagrange basis polynomials of multiple target temperature monitoring points according to the weight and the temperature value corresponding to the target temperature monitoring point, so as to obtain the temperature value of the target position point for monitoring the temperature value of the target position point.

[0047] By performing a weighted summation of the Lagrange basis polynomials of multiple target temperature monitoring points, the influence of the temperature values of multiple target temperature monitoring points adjacent to the target position point on the temperature value of the target position point can be fully considered, so as to realize the real-time acquisition of the temperature value of the target position point.

[0048] Through the temperature monitoring system 1000 for flowing molten metal provided by the embodiments of the present application, multiple target temperature monitoring points closest to the target position point are determined from multiple temperature monitoring points, and the Lagrange basis polynomial corresponding to the target temperature monitoring point is constructed, so as to combine the flow velocity of the target temperature monitoring point to obtain the Lagrange interpolation polynomial. According to the Lagrange interpolation polynomials corresponding to multiple target temperature monitoring points, the temperature value of the target position point can be obtained. Obtaining the temperature value of the target position point improves the real-time performance of temperature acquisition compared with changing the position measured by the temperature sensor. Therefore, the real-time performance of monitoring the temperature of the target position point in the flowing molten metal can be improved.

[0049] In one embodiment, the second determination module 1400 is further configured to perform the following steps: determining the average flow velocity of the flowing molten metal at multiple temperature monitoring points according to the flow velocities of the flowing molten metal at multiple temperature monitoring points; using the ratio between the magnitude of the flow velocity of the target temperature monitoring point and the magnitude of the average flow velocity as the local flow coefficient of the target temperature monitoring point; obtaining the correlation coefficient between the temperature values of the target temperature monitoring point and the nearest other temperature monitoring point, and using the ratio of the correlation coefficient to the local flow coefficient as the weight corresponding to the target temperature monitoring point.

[0050] There is a certain correlation between the temperatures at different positions of the flowing molten metal in the container, and the degree of correlation between different adjacent positions is different. For example, the correlation between the temperature values of two adjacent positions close to the heat source is usually greater than that between the temperature values of two adjacent positions far from the heat source.

[0051] The flowing molten metal has a certain fluidity in the container. For example, the container of the flowing molten metal may include an inlet for adding the flowing molten metal to the container and an outlet for discharging the flowing molten metal from the container, so that the fluidities at different positions of the flowing molten metal are different, and the fluidities between adjacent positions are correlated, so that there is a certain correlation between the heat conduction efficiencies achieved between adjacent positions, thereby making the temperature values between adjacent positions in the flowing molten metal correlated.

[0052] The temperature distribution near the temperature monitoring point with smaller fluidity in the flowing molten metal is more uniform, and the ratio of the magnitude of the flow velocity of the target temperature monitoring point to the magnitude of the average flow velocity can reflect the difference between the fluidity level of the flowing molten metal at the target temperature monitoring point and the average fluidity level. Therefore, a higher weight can be assigned to the target temperature monitoring point with a lower flow velocity to increase the contribution of the target temperature monitoring point with a more uniform temperature distribution to the calculation of the temperature value of the target position point; on the contrary, a lower weight can be assigned to the target temperature monitoring point with a higher flow velocity to reduce the contribution of the target temperature monitoring point with a more uniform temperature distribution to the calculation of the temperature value of the target position point.

[0053] In this way, taking the ratio of the correlation coefficient to the local flow coefficient as the weight corresponding to the target temperature monitoring point can enable the obtained weight to comprehensively consider the correlation coefficient between different temperature monitoring points and the influence of the fluidity of the flowing molten metal on the temperature value, so as to obtain a more accurate temperature value of the target position point.

[0054] In one embodiment, the second determination module 1400 is further configured to perform the following steps: taking the historical temperature value data set of the target temperature monitoring point in the historical time period as the first data set, and taking the historical temperature value data set of the other temperature monitoring point closest to the target temperature monitoring point in the historical time period as the second data set; taking the Pearson correlation coefficient between the first data set and the second data set as the correlation coefficient of the target temperature monitoring point and the other closest temperature monitoring point in terms of temperature value.

[0055] For example, the historical time period can be the time period in which the 5 minutes before the current moment are located, or, the historical time period can also be the moment when the working state of the container containing the flowing molten metal is the same as the current moment. The working state of the container containing the flowing molten metal can be determined according to the inflow rate and the outflow rate of the flowing molten metal in the container containing the flowing molten metal; the specific duration of the historical time period can also be set according to actual needs, and the embodiments of the present application do not limit the duration of the historical time period.

[0056] In this way, the Pearson correlation coefficient can better characterize the correlation degree between the temperature values of two different temperature monitoring points within the historical time period, so as to more accurately determine the temperature value of the target position point at the current moment.

[0057] In one embodiment, the Lagrange basis polynomial corresponding to the target temperature monitoring point is obtained in the following manner: , is the value of the Lagrange basis polynomial corresponding to the i-th target temperature monitoring point at the position coordinate d, N is the number of target temperature monitoring points, is the position coordinate of the j-th target temperature monitoring point, is the product operator.

[0058] A three-dimensional coordinate system can be established for the container containing the flowing molten metal. For example, the center of the bottom surface of the container containing the flowing molten metal can be used as the coordinate origin, the vertical direction can be used as the z-axis of the three-dimensional coordinate system, and the x-axis and y-axis of the three-dimensional coordinate system can be adaptively determined, so as to determine the position coordinates of different positions in the flowing molten metal in the three-dimensional coordinate system.

[0059] For example, when the number of target temperature monitoring points is 3, the coordinates of the 3 target temperature monitoring points are (x1, y1, z1), (x2, y2, z2), and (x3, y3, z3) in sequence. The Lagrange basis polynomial of the first target temperature monitoring point is , when applied to three-dimensional coordinates, , substituting the coordinates of the 3 target temperature monitoring points, , substituting the position coordinates of the target position point, the value of the Lagrange basis polynomial corresponding to the first target temperature monitoring point at the target position point can be obtained.

[0060] In the case where the denominator of the Lagrange basis polynomial is 0, the target temperature monitoring points participating in the construction of the Lagrange polynomial can be re-determined; or, a preset value, such as relatively small values with respect to the position coordinates like 0.01 and 0.02, can be added to the denominator term in the Lagrange polynomial to avoid the situation where the denominator in the Lagrange polynomial is 0.

[0061] In this way, the Lagrange basis polynomials corresponding to the target temperature monitoring points can be determined, so as to obtain the temperature value corresponding to the target position point according to the multiple Lagrange basis polynomials corresponding to the multiple target temperature monitoring points corresponding to the target position point.

[0062] In one embodiment, the temperature value of the target position point is obtained by the following method: , is the temperature value corresponding to the position coordinate d of the target position point, N is the number of target temperature monitoring points, is the temperature value of the i-th target temperature monitoring point, norm is the normalization processing function, is the weight corresponding to the i-th target temperature monitoring point, is the value of the Lagrange basis polynomial corresponding to the i-th target temperature monitoring point at the position coordinate d.

[0063] By substituting the position coordinate of the target position point into the Lagrange basis polynomial of the i-th target temperature monitoring point, the value of the Lagrange basis polynomial of the i-th target temperature monitoring point at the target position can be obtained. According to the weights, temperature values of different target temperature monitoring points, and the values of the Lagrange basis polynomials corresponding to the target temperature monitoring points at the target position point, the temperature value of the target position point can be obtained, realizing the acquisition of the temperature values of other position points outside the position points monitored by the temperature sensor.

[0064] In one embodiment, the acquisition module 1100 is further configured to perform the following steps: obtaining the flow velocities of the flowing molten metal at multiple flow velocity monitoring points through a flow velocity sensor; the flow velocity monitoring points are the position points where the flow velocity sensor directly measures the flow velocity, and the flow velocity includes the flow direction and the flow rate; determining the flow velocity of the flowing molten metal at the temperature monitoring point according to the flow velocities of the flowing molten metal at multiple flow velocity monitoring points adjacent to the temperature monitoring point.

[0065] The flow velocity of the flowing molten metal at the flow velocity monitoring point can be obtained through an ultrasonic flow velocity sensor, and the flow velocity can include the flow direction and the flow rate; the flow velocity monitoring points and the temperature monitoring points can be located at different positions in the flowing molten metal, realizing more flexible monitoring of the temperature and flow velocity in the flowing molten metal.

[0066] The flow velocity monitoring points and the temperature monitoring points can also be located at the same position in the flowing molten metal. For example, the temperature sensor and the flow velocity sensor can be coupled to simultaneously obtain the flow velocity and the temperature value at the same monitoring position.

[0067] For example, since the fluidity of the flowing metal at a position point is affected by the fluidity of other surrounding position points, and the flow velocity includes the flow direction and the flow rate, the vector sum result of the flow velocities of a plurality of flow velocity monitoring points adjacent to the temperature monitoring point can be used as the flow velocity of the flowing metal liquid at the temperature monitoring point.

[0068] In this way, by determining the flow velocity of the flowing metal liquid at a plurality of flow velocity monitoring points adjacent to the temperature monitoring point, the flow velocity of the flowing metal liquid at the temperature monitoring point can be determined. Even when the temperature monitoring point and the flow velocity monitoring point are located at different positions in the flowing metal liquid, the flow velocity of the flowing metal liquid at the temperature monitoring point can be determined preferably.

[0069] In one embodiment, as Figure 2 shown, the temperature monitoring system 1000 for the flowing metal liquid further includes a prompting module 1600, and the prompting module 1600 is configured to perform the following steps: determining a target temperature range corresponding to the position coordinates of the target position point from a plurality of temperature ranges; and outputting a prompt message when the temperature value at the target position point is outside the target temperature range, where the prompt message is used to prompt that the temperature value at the target position point is outside the target temperature range.

[0070] For example, since the positions of the flowing metal liquid relative to the heat source are different, the temperature ranges at different positions in the container of the flowing metal liquid are different. The temperature ranges corresponding to different positions in the flowing metal liquid can be determined through actual measurement or simulation test according to the metal type of the flowing metal and the distance from the heat source. For example, the temperature range of aluminum in the liquid state can be within 650°C to 850°C.

[0071] In this way, the real-time monitoring of the temperature value at the target position point can be realized according to the target temperature range corresponding to the target position point, so that the supervisors can discover the possible abnormalities in the flowing metal.

[0072] In one embodiment, as Figure 3 shown, the temperature monitoring system 1000 for the flowing metal liquid further includes a display module 1700, and the third determining module 1500 is further configured to perform the following steps: generating a temperature distribution map of the flowing metal liquid according to the temperature values of a plurality of target position points and the temperature values of a plurality of temperature monitoring points in the flowing metal liquid; the temperature distribution map includes the temperature values of different position points inside the container of the flowing metal liquid; and sending the temperature distribution map to the display module 1700 so that the display module 1700 can display the temperature distribution map.

[0073] For example, a display device may be provided on the floor where the container of the flowing metal is located. The display device is communicatively connected to the third determination module 1500 to obtain the temperature values of different target position points in the flowing metal liquid determined by the third determination module 1500. The display device may also be communicatively connected to the acquisition module 1100 to obtain the temperature values of different temperature monitoring points in the flowing metal liquid, so as to obtain the temperature values at different positions in the flowing metal liquid in all directions.

[0074] The display module 1700 may be communicatively connected to the third determination module 1500 to receive the temperature distribution map sent by the third determination module 1500. Through the temperature distribution map, the user can more intuitively observe the possible temperature anomalies in the flowing metal liquid. For example, in the temperature distribution map, position points with different temperature values may be displayed in different colors, or position points within the temperature range and position points outside the temperature range in the temperature distribution map may be displayed using different display styles.

[0075] In this way, through the display of the temperature distribution map by the display module, the user can more intuitively observe the possible temperature anomalies in the flowing metal liquid, which can reduce the difficulty for the user to monitor the temperature of the flowing metal liquid compared with the user's self-analysis of the temperature distribution in the flowing metal liquid.

[0076] It should be understood that unless otherwise specifically stated, the features of some embodiments of the present application described herein may be combined with each other.

[0077] Although terms such as "first", "second", and "third" may be used herein to describe various components, parts, regions, layers, or sections, these components, parts, regions, layers, or sections are not limited to these terms. On the contrary, these terms are only used to distinguish one component, part, region, layer, or section from another component, part, region, layer, or section. Therefore, without departing from the teachings of the examples, the first component, part, region, layer, or section mentioned in the examples described herein may also be referred to as the second component, part, region, layer, or section.

[0078] In addition, the terms "first" and "second" are only used for descriptive purposes and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include at least one of the features. In the description herein, "a plurality" means at least two, such as two, three, etc., unless otherwise specifically and explicitly defined.

[0079] In addition, the word "exemplary" is used herein to mean serving as an example, instance, or illustration. Any aspect or design described herein as "exemplary" is not necessarily to be construed as advantageous over other aspects or designs. Rather, the word exemplary is intended to present concepts in a concrete fashion. As used herein, the term "or" is intended to mean an inclusive "or" rather than an exclusive "or".

[0080] Likewise, although the present application has been shown and described with respect to one or more implementations, equivalent variations and modifications will occur to those skilled in the art upon reading and understanding this specification and the drawings. In particular with respect to the various functions performed by the above-described components (e.g., elements, resources, etc.), unless otherwise indicated, the terms used to describe such components are intended to correspond to any component (functionally equivalent) that performs the specific function of the described component, even if not structurally equivalent to the disclosed structure.

[0081] In addition, although particular features of the present application may have been disclosed with respect to only one of several implementations, such features may, as may be desired and advantageous for any given or particular application, be combined with one or more other features of other implementations.

[0082] Other embodiments of the present application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. The present application is intended to cover any variations, uses, or adaptations of the present application that follow the general principles of the present application and include known common knowledge or conventional technical means in the technical field not disclosed herein. The specification and examples are to be considered exemplary only.

[0083] It should be understood that the present application is not limited to the exact structures described above and shown in the drawings, and various modifications and changes may be made without departing from its scope.

Claims

1. A temperature monitoring system for flowing molten metal, characterized in that, Including: An acquisition module, configured to acquire the temperature value of a temperature monitoring point in the flowing molten metal collected by a temperature sensor, and acquire the flow velocity of the flowing molten metal at the temperature monitoring point, where the temperature monitoring point is the position point in the flowing molten metal contacted by the temperature sensor; A first determination module, configured to determine multiple target temperature monitoring points closest to a target position point from multiple temperature monitoring points; the target position point is any position point in the flowing molten metal not contacted by the temperature sensor; A construction module, configured to use the position coordinates of the target temperature monitoring point as the independent variable and the temperature value of the target temperature monitoring point as the dependent variable to construct the Lagrange basis polynomial corresponding to the target temperature monitoring point; A second determination module, configured to determine the weight corresponding to the target temperature monitoring point according to the flow velocity of the target temperature monitoring point; A third determination module, configured to perform a weighted sum of the Lagrange basis polynomials of multiple target temperature monitoring points according to the weight and temperature value corresponding to the target temperature monitoring point to obtain the temperature value of the target position point, so as to monitor the temperature value of the target position point; Add a preset value to the denominator term in the Lagrange polynomial, and the preset value is 0.01 or 0.

02.

2. The temperature monitoring system for flowing molten metal according to claim 1, wherein, The second determination module is further configured to perform the following steps: Determine the average flow velocity of the flowing molten metal at multiple temperature monitoring points according to the flow velocity of the flowing molten metal at multiple temperature monitoring points; Use the ratio between the magnitude of the flow velocity of the target temperature monitoring point and the magnitude of the average flow velocity as the local flow coefficient of the target temperature monitoring point; Obtain the correlation coefficient of the target temperature monitoring point and the nearest other temperature monitoring point in terms of temperature value, and use the ratio of the correlation coefficient to the local flow coefficient as the weight corresponding to the target temperature monitoring point.

3. The temperature monitoring system for flowing molten metal according to claim 2, characterized in that, The second determination module is further configured to perform the following steps: Use the historical temperature value dataset of the target temperature monitoring point in the historical time period as the first dataset, and use the historical temperature value dataset of the other temperature monitoring points closest to the target temperature monitoring point in the historical time period as the second dataset; Use the Pearson correlation coefficient between the first dataset and the second dataset as the correlation coefficient of the target temperature monitoring point and the nearest other temperature monitoring point in terms of temperature value.

4. The temperature monitoring system for flowing molten metal according to claim 1, characterized in that, The temperature value of the target position point is obtained by the following method: , is the temperature value corresponding to the position coordinate d of the target position point, N is the number of target temperature monitoring points, is the temperature value of the i-th target temperature monitoring point, norm is the normalization function, is the weight corresponding to the i-th target temperature monitoring point, is the value of the Lagrange basis polynomial corresponding to the i-th target temperature monitoring point at the position coordinate d.

5. The temperature monitoring system for flowing molten metal according to claim 1, wherein The acquisition module is further configured to perform the following steps: Acquire the flow velocity of the flowing molten metal at multiple flow velocity monitoring points through a flow velocity sensor; the flow velocity monitoring point is the position point where the flow velocity sensor directly measures the flow velocity, and the flow velocity includes the flow direction and the flow rate; Determine the flow velocity of the flowing molten metal at the temperature monitoring point according to the flow velocity of the flowing molten metal at multiple flow velocity monitoring points adjacent to the temperature monitoring point.

6. The temperature monitoring system for flowing molten metal according to claim 1, wherein The Lagrange basis polynomial corresponding to the target temperature monitoring point is obtained by the following method: , is the value of the Lagrange basis polynomial corresponding to the i-th target temperature monitoring point at the position coordinate d, N is the number of target temperature monitoring points, is the position coordinate of the j-th target temperature monitoring point, is the product operator.

7. The temperature monitoring system for flowing molten metal according to claim 1, wherein The system further includes a prompt module, and the prompt module is configured to perform the following steps: Determine the target temperature range corresponding to the position coordinates of the target position point from multiple temperature ranges; When the temperature value at the target position point is outside the target temperature range, a prompt message is output, and the prompt message is used to prompt that the temperature value at the target position point is outside the target temperature range.

8. The temperature monitoring system for flowing molten metal according to claim 1, characterized in that, The system further includes a display module, and the third determination module is further configured to perform the following steps: Generate a temperature distribution map of the flowing molten metal according to the temperature values of multiple target position points and the temperature values of multiple temperature monitoring points in the flowing molten metal; the temperature distribution map includes the temperature values of different position points inside the container of the flowing molten metal; Send the temperature distribution map to the display module so that the display module displays the temperature distribution map.

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