Adaptive temperature measuring casting machine and casting method thereof

Abstract

This invention discloses an adaptive temperature-measuring casting machine and its casting method. The casting machine includes a motion execution module, a parameter acquisition module (the parameter acquisition module includes a visual positioning unit and multiple sensors, which are used to detect the tilt angle α of the casting ladle, the moving speed v, and the molten metal flow rate Q), an adaptive temperature measurement module, and a central control module. The motion parameters of the casting machine, including the tilt angle sequence, the translational speed sequence, and the casting flow rate, are used as "pre-input variables" of the temperature measurement system. These variables are transformed from "independent variables used only for casting positioning" into "pre-input signals of the temperature measurement system." Based on the "casting action-liquid surface state" mapping relationship, a collaborative link is established between the mechanical execution end and the optical detection end. Wavelength matching is initiated instantaneously when the motion parameters change, thereby providing a "predictive response" to changes in the liquid surface, optimizing the temperature measurement parameters in advance, and achieving the precise temperature control requirements for casting production.

Description

Technical Field

[0001] This invention belongs to the field of casting machine technology, and particularly relates to an adaptive temperature measuring casting machine and a casting method for the adaptive temperature measuring casting machine. Background Technology

[0002] A casting machine is an automated device that precisely injects molten material into a mold or a specific location. When used in casting production, the temperature of the molten metal (molten material) is the most critical process parameter during the casting process. Its stability and rationality directly determine the casting quality, internal structure, and mechanical properties. Because its influence extends throughout the entire casting process, an infrared radiation temperature measuring device is needed to capture the infrared radiation signal of the molten metal and deduce the temperature of the molten metal for real-time monitoring.

[0003] The motion execution system (tilt and translation control) and temperature measurement system (infrared colorimetric thermometry) of the casting machine operate independently. When the casting ladle tilts or translates, the liquid level of the molten metal inside will change. However, the temperature measurement system uses a fixed colorimetric wavelength and only passively receives radiation signals. It cannot adapt to the fluctuations in the liquid level caused by changes in motion parameters, resulting in poor dynamic measurement accuracy and difficulty in meeting the precise temperature control requirements for casting production. Summary of the Invention

[0004] To address the problems in the prior art, the present invention proposes the following technical solution:

[0005] Adaptive temperature-sensing casting machine, including:

[0006] The motion execution module includes a tilting drive unit, a translation drive unit, and a pouring ladle. The tilting drive unit and the translation drive unit drive the pouring ladle to tilt or translate, pouring the molten metal into the mold for pouring.

[0007] The parameter acquisition module includes a visual positioning unit and multiple sensors. The visual positioning unit is used to identify the shape of the molten metal stream, and the multiple sensors are used to detect the tilt angle α of the casting ladle, the moving speed v, and the molten metal pouring flow rate Q.

[0008] An adaptive temperature measurement module includes an infrared detection unit, a servo adjustment unit, and a wavelength control unit. The infrared detection unit is equipped with a dual-band detector. The servo adjustment unit drives the infrared detection unit to track the core region of the flow stream. The wavelength control unit is used to dynamically adjust the colorimetric wavelength pair (λ0, λ1).

[0009] The overall control module is electrically connected to the motion execution module, the parameter acquisition module, and the adaptive temperature measurement module. The overall control module has a built-in liquid surface state mapping model and a dynamic wavelength matching algorithm.

[0010] As a preferred embodiment of the above technical solution, the liquid surface state mapping model quantifies the liquid surface state characteristic quantity S using a formula:

[0011] ,

[0012] Where k1 is the tilt influence coefficient (0.04~0.06), k2 is the velocity influence coefficient (0.15~0.25), k3 is the flow rate influence coefficient (0.08~0.12), C is the reference constant (value 1.0), and S belongs to [1.0, 3.0]. The larger the value, the more violent the liquid surface fluctuation.

[0013] As a preferred embodiment of the above technical solution, the wavelength control unit incorporates a specific emissivity database, which stores the specific emissivity curves of the liquid metal in the 1~5μm wavelength band under different S values, and is fitted as follows:

[0014] ,

[0015] Where a(S), b(S), and c(S) are coefficients that change dynamically with S.

[0016] As a preferred embodiment of the above technical solution, the dynamic wavelength matching algorithm derives the matching wavelength calculation formula based on the condition ε(λ0, S) = ε(λ1, S):

[0017] ,

[0018] Where λ0 is the reference wavelength (2.0~2.5μm) and λ1 is the adaptive matching wavelength.

[0019] As a preferred embodiment of the above technical solution, the plurality of sensors include an angle sensor, a speed sensor, and a flow sensor. The angle sensor is used to detect the tilt angle α of the casting ladle, the speed sensor is used to detect the moving speed v of the translation drive unit, and the flow sensor is used to detect the flow rate Q of the molten metal.

[0020] The casting method of the adaptive temperature-measuring casting machine includes the following steps:

[0021] S1. System initialization: The main control module calibrates the parameter acquisition module and the adaptive temperature measurement module, presets the reference wavelength λ0=2.2μm, and sets the temperature threshold T1~T2 according to the casting type;

[0022] S2, molten metal preparation: The transfer vehicle injects molten metal into the casting ladle. The adaptive temperature measurement module performs initial temperature measurement. If the temperature is ≥ T1, the casting is ready.

[0023] S3, Motion Parameter Pre-matching:

[0024] S3.1 The visual positioning unit identifies the location of the mold's pouring gate, and the main control module generates the pouring path, including the tilt angle sequence [α1, α2, ..., α]. n Translational velocity sequence [v1, v2, ..., v] n ];

[0025] S3.2 Calculate the initial liquid level state S0 based on the initial flow rate Q0, obtain a(S0) and b(S) from the emissivity database, and calculate λ using the wavelength matching formula. 10 ;

[0026] S4. Dynamic casting and temperature measurement:

[0027] S4.1 The translation drive unit moves the casting ladle to the starting position, the tilt drive unit starts to tilt according to α1, and the flow sensor collects Q1 in real time;

[0028] S4.2 The parameter acquisition module transmits α1, v1, and Q1 to the main control module to calculate the real-time value of S1;

[0029] S4.3, The wavelength control unit updates λ according to S1. 11 The servo adjustment unit drives the infrared detection unit to align with the middle section of the stream, acquiring the dual-wavelength grayscale ratio R(T, λ0, λ) 11 );

[0030] S4.4 Substitute the values ​​into the colorimetric thermometry formula to calculate the real-time temperature T;

[0031] S4.5 If T does not belong to [T1, T2], the main control module adjusts the tilting speed or flow rate to bring the temperature back to the threshold range;

[0032] S5. Pouring Cycle: Pouring is performed on each mold in sequence, and the finished product is poured after the molten metal cools down.

[0033] As a preferred embodiment of the above technical solution, the formula for calculating the real-time temperature T is:

[0034] ,

[0035] Where C2 is the second radiation constant. , λ 11 To dynamically match the operating wavelength, lnR is the natural logarithm of the grayscale ratio of the thermal image, and η(λ0) is the spectral response efficiency of the infrared detector at the reference wavelength λ0. 11 ) is the infrared detector at dynamic wavelength λ 11 The spectral response efficiency is given by r0, where r0 is the transmittance of the optical system at the reference wavelength λ0. 11 For optical systems at dynamic wavelengths λ 11 transmittance, The operating bandwidth corresponding to the reference wavelength λ0. Dynamic wavelength λ 11 The corresponding operating bandwidth.

[0036] As a preferred embodiment of the above technical solution, step S5 includes the following:

[0037] S5.1. Complete the pouring of each mold in sequence according to the preset path. Repeat the parameter update and temperature measurement process of S4.1-S4.5 every time the mold is switched.

[0038] S5.2 The tilt angle of the pouring ladle is reset to α0, the translation drive unit returns to the initial position, and the main control module stores the temperature curve and motion parameter data of this pouring.

[0039] S5.3 If continuous pouring is required, repeat S3-S5 after the transfer vehicle replenishes the material again; otherwise, the system will be shut down.

[0040] As a preferred embodiment of the above technical solution, in step S4.3, the response delay of the servo adjustment unit is ≤50μs, the field of view of the infrared detection unit is ≤2°, and the detection direction is corrected in real time by the visual positioning unit to avoid background radiation mixing.

[0041] As a preferred embodiment of the above technical solution, step S4.4 employs a 3-wavelength fusion algorithm to optimize the temperature measurement results, simultaneously acquiring λ0 and λ2. 11 The radiation signals of λ2 (λ2=λ0+0.2μm) are weighted and fused to output the final temperature value.

[0042] The beneficial effects of this invention are as follows:

[0043] 1. The tilt angle sequence, translation speed sequence, and pouring flow rate of the casting machine are used as the "pre-input variables" of the temperature measurement system. These variables are transformed from "independent variables used only for pouring positioning" into "pre-input signals of the temperature measurement system". Based on the mapping relationship between "pouring action and liquid surface state", a collaborative link between the mechanical execution end and the optical detection end is established. Wavelength matching is initiated the instant the motion parameters change, without waiting for the radiation signal to become abnormal. This allows for a "predictive response" to changes in the liquid surface, optimizing the temperature measurement parameters in advance, reducing interference from the source, and achieving the precise temperature control requirements for casting production.

[0044] 2. By integrating parameters such as tilt angle, translation speed, and flow rate into continuous liquid surface state characteristics through characteristic formulas, a quantitative mapping model of "change in motion parameters → degree of liquid surface fluctuation" is established. When the casting machine switches the tilt angle or adjusts the translation speed in sequence, the model can quantify the severity of liquid surface fluctuation / tilt in real time. The corresponding liquid surface state is calculated in advance through the mapping model. The logic of "change in motion parameters → prediction of liquid surface state → pre-adjustment of temperature measurement parameters" is adopted. The dynamic wavelength algorithm adjusts the colorimetric band in a targeted manner, reducing the response delay from the millisecond-level passive correction of the existing technology to the microsecond-level active adaptation, meeting the working conditions of rapid switching of motion parameters during the casting process, thereby obtaining temperature data more accurately. Attached Figure Description

[0045] Figure 1 The diagram shown is a process flow chart of an embodiment. Detailed Implementation

[0046] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments and the accompanying drawings.

[0047] Example 1

[0048] Adaptive temperature-sensing casting machine, including:

[0049] The motion execution module includes a tilting drive unit, a translation drive unit, and a pouring ladle. The tilting drive unit and the translation drive unit drive the pouring ladle to tilt or translate, pouring the molten metal into the mold for pouring.

[0050] The parameter acquisition module includes a visual positioning unit and multiple sensors. The visual positioning unit is used to identify the shape of the molten metal stream. The multiple sensors are used to detect the tilt angle α of the casting ladle, the moving speed v, and the molten metal flow rate Q. The multiple sensors include an angle sensor, a speed sensor, and a flow sensor. The angle sensor is used to detect the tilt angle α of the casting ladle, the speed sensor is used to detect the moving speed v of the translation drive unit, and the flow sensor is used to detect the molten metal flow rate Q.

[0051] An adaptive temperature measurement module includes an infrared detection unit, a servo adjustment unit, and a wavelength control unit. The infrared detection unit is equipped with a dual-band detector. The servo adjustment unit drives the infrared detection unit to track the core region of the flow stream. The wavelength control unit is used to dynamically adjust the colorimetric wavelength pair (λ0, λ1).

[0052] The overall control module is electrically connected to the motion execution module, the parameter acquisition module, and the adaptive temperature measurement module. The overall control module has a built-in liquid surface state mapping model and a dynamic wavelength matching algorithm.

[0053] Motion execution module: The tilt drive unit adopts a servo motor + harmonic reducer, with a tilt angle adjustment range of 0~90° and an accuracy of ±0.1°; the translation drive unit adopts a linear module, with a moving speed of 0~0.5m / s and a positioning accuracy of ±0.5mm.

[0054] Parameter acquisition module: The angle sensor is model WDD35D4, the speed sensor is E6B2-CWZ6C, the flow sensor is an electromagnetic flow meter with a measurement range of 0~50kg / s, and the vision positioning unit is a 5-megapixel industrial camera with a frame rate ≥200fps.

[0055] Adaptive temperature measurement module: The infrared detection unit adopts a dual-band InGaAs detector with a response band of 1~3μm. The wavelength control unit adjusts the detection band through a DDS signal generator. The servo adjustment unit is an electric two-dimensional turntable with a positioning accuracy of ±0.01°.

[0056] The liquid surface state mapping model quantifies the liquid surface state feature quantity S using a formula:

[0057] ,

[0058] Where k1 is the tilt influence coefficient (0.04~0.06), k2 is the velocity influence coefficient (0.15~0.25), k3 is the flow rate influence coefficient (0.08~0.12), C is the reference constant (value 1.0), and S belongs to [1.0, 3.0]. The larger the value, the more violent the liquid surface fluctuation.

[0059] The wavelength control unit has a built-in emissivity database, which stores the emissivity curves of the liquid metal in the 1~5μm wavelength band under different S values, and is fitted as follows:

[0060] ,

[0061] Where a(S), b(S), and c(S) are coefficients that change dynamically with S.

[0062] The dynamic wavelength matching algorithm is based on the condition ε(λ0, S) = ε(λ1, S), and derives the formula for calculating the matching wavelength:

[0063] ,

[0064] Where λ0 is the reference wavelength (2.0~2.5μm) and λ1 is the adaptive matching wavelength.

[0065] Example 2

[0066] Figure 1 The casting method of the adaptive temperature-sensing casting machine includes the following steps:

[0067] S1. System initialization: The main control module calibrates the parameter acquisition module and the adaptive temperature measurement module, presets the reference wavelength λ0=2.2μm, and sets the temperature threshold T1~T2 according to the casting type;

[0068] After the main control module starts, it first calibrates the parameter acquisition module (angle, speed, flow sensors, and visual positioning unit) and the adaptive temperature measurement module to ensure accurate signal transmission of each component. At the same time, it presets the reference wavelength λ0, sets the temperature threshold range T1~T2 according to the casting type, and loads the basic coefficients of the "motion parameter-liquid surface state" mapping model to establish initial conditions for subsequent linkage calculations.

[0069] S2, molten metal preparation: The transfer vehicle injects molten metal into the casting ladle. The adaptive temperature measurement module performs initial temperature measurement. If the temperature is ≥ T1, the casting is ready.

[0070] After the transfer vehicle injects the molten metal into the casting ladle, the adaptive temperature measurement module starts the initial temperature measurement program. The infrared detection unit is aimed at the surface of the molten metal in the casting ladle to perform preliminary temperature detection. The main control module compares the detection result with the preset temperature threshold. If the temperature meets the casting requirements, it sends a "to be cast" command to the motion execution module and enters the parameter pre-matching stage. If the temperature does not meet the requirements, it triggers a supplementary temperature or waits for a command.

[0071] S3, Motion Parameter Pre-matching:

[0072] S3.1 The visual positioning unit identifies the location of the mold's pouring gate, and the main control module generates the pouring path, including the tilt angle sequence [α1, α2, ..., α]. n Translational velocity sequence [v1, v2, ..., v] n ];

[0073] S3.2 Calculate the initial liquid level state S0 based on the initial flow rate Q0, obtain a(S0) and b(S) from the emissivity database, and calculate λ using the wavelength matching formula. 10 ;

[0074] The vision positioning unit captures images of the mold assembly, identifies the spatial position of each mold's pouring gate, and transmits the coordinate information to the central control module. The central control module, based on the casting pouring requirements, generates a complete pouring path, including a tilt angle sequence [α1, α2, ..., α...]. n ] and the corresponding translational velocity sequence [v1, v2, ..., v n Ensure that the pouring ladles are aligned with the pouring gates of each mold in sequence;

[0075] The flow sensor detects the initial outflow rate Q0 of the molten metal. The main control module substitutes this information into the liquid surface state characteristic formula to calculate the initial liquid surface state S0. The main control module then calls the emissivity database to extract the coefficients a(S0) and b(S0) corresponding to S0. Based on the condition ε(λ0, S0) = ε(λ1, S0), the initial matching wavelength λ is calculated using a dynamic wavelength matching algorithm. 10 Complete the pre-setting of temperature measurement parameters.

[0076] By using the tilt angle sequence, translation speed sequence, and pouring flow rate of the casting machine as "pre-input variables" for the temperature measurement system, these variables are transformed from "independent variables used only for pouring positioning" into "pre-input signals for the temperature measurement system." Based on the mapping relationship between "pouring action - liquid surface state," a collaborative link between the mechanical execution end and the optical detection end is established. Wavelength matching is initiated the instantaneously when the motion parameters change, without waiting for abnormal radiation signals. This allows for a "predictive response" to changes in the liquid surface, optimizing the temperature measurement parameters in advance, reducing interference from the source, and achieving the precise temperature control requirements for casting production.

[0077] S4. Dynamic casting and temperature measurement:

[0078] S4.1 The translation drive unit moves the casting ladle to the starting position, the tilt drive unit starts to tilt according to α1, and the flow sensor collects Q1 in real time;

[0079] S4.2 The parameter acquisition module transmits α1, v1, and Q1 to the main control module to calculate the real-time value of S1;

[0080] S4.3, The wavelength control unit updates λ according to S1. 11 The servo adjustment unit drives the infrared detection unit to align with the middle section of the stream, acquiring the dual-wavelength grayscale ratio R(T, λ0, λ) 11 );

[0081] S4.4 Substitute the values ​​into the colorimetric thermometry formula to calculate the real-time temperature T;

[0082] The formula for calculating the real-time temperature T is:

[0083] ,

[0084] Where C2 is the second radiation constant. , λ 11 To dynamically match the operating wavelength, lnR is the natural logarithm of the grayscale ratio of the thermal image, and η(λ0) is the spectral response efficiency of the infrared detector at the reference wavelength λ0. 11 ) is the infrared detector at dynamic wavelength λ 11 The spectral response efficiency is given by r0, where r0 is the transmittance of the optical system at the reference wavelength λ0. 11 For optical systems at dynamic wavelengths λ11 transmittance, The operating bandwidth corresponding to the reference wavelength λ0. Dynamic wavelength λ 11 Corresponding operating bandwidth;

[0085] S4.5 If T does not belong to [T1, T2], the main control module adjusts the tilting speed or flow rate to bring the temperature back to the threshold range;

[0086] First mold pouring stage:

[0087] The translation drive unit moves the casting ladle to the starting casting position of the first mold at a speed of v1, and the tilt drive unit tilts forward starting at the first item α1 in the sequence, and the molten metal flows out of the casting ladle to form a stream;

[0088] The parameter acquisition module synchronously acquires the current tilt angle α1, translation speed v1, and actual pouring flow rate Q1 in real time, and transmits them to the central control module to calculate the real-time liquid surface status S1.

[0089] The wavelength control unit updates the matching wavelength λ according to S1. 11 The servo adjustment unit drives the infrared detection unit to adjust the angle, focusing the field of view on the stable area in the middle of the stream to avoid background radiation interference.

[0090] The infrared detection unit acquires λ0 and λ 11 The grayscale ratio of the thermal image under dual wavelengths is substituted into the colorimetric thermometry formula to calculate the real-time temperature T1; the central control module determines whether T1 is within the threshold range, and if it deviates, it adjusts the tilting speed (such as the rate of change of α1) or the flow rate Q1 to correct the temperature to a reasonable range.

[0091] Multi-mold switching and cyclic casting stage:

[0092] After the first mold is poured, the tilting drive unit tilts slightly backward according to the preset program, and the angle is reset to the transition value. The translation drive unit moves the pouring bag to the position of the second mold according to v2.

[0093] The tilt drive unit switches to the second item α2 in the sequence and repeats the above process of "parameter acquisition → S calculation → wavelength update → temperature feedback" to complete the second mold casting.

[0094] Following this logic, the tilt angles α3...α are called sequentially. n Coordinated with corresponding speeds v3...v n The mold groups are poured one by one until the pouring task corresponding to all angles in the sequence is completed.

[0095] By integrating parameters such as tilt angle, translation speed, and flow rate into continuous liquid surface state characteristics through characteristic formulas, a quantitative mapping model of "change in motion parameters → degree of liquid surface fluctuation" is established. When the casting machine switches the tilt angle or adjusts the translation speed in sequence, the model can quantify the severity of liquid surface fluctuation / tilt in real time. The corresponding liquid surface state is calculated in advance through the mapping model. The logic of "change in motion parameters → prediction of liquid surface state → pre-adjustment of temperature measurement parameters" is adopted. The dynamic wavelength algorithm adjusts the colorimetric band in a targeted manner, reducing the response delay from the millisecond-level passive correction of the existing technology to the microsecond-level active adaptation, meeting the working conditions of rapid switching of motion parameters during the casting process, thereby obtaining temperature data more accurately.

[0096] S5. Pouring Cycle: Pouring is performed on each mold in sequence, and the finished product is poured after the molten metal cools down.

[0097] The S5 step includes the following:

[0098] S5.1. Complete the pouring of each mold in sequence according to the preset path. Repeat the parameter update and temperature measurement process of S4.1-S4.5 every time the mold is switched.

[0099] S5.2 The tilt angle of the pouring ladle is reset to α0, the translation drive unit returns to the initial position, and the main control module stores the temperature curve and motion parameter data of this pouring.

[0100] S5.3 If continuous pouring is required, repeat S3-S5 after the transfer vehicle replenishes the material again; otherwise, the system will be shut down.

[0101] When [α1, α2, ..., α] n After the sequence is completed and all molds are filled, the tilting drive unit resets the tilt angle of the casting pot to the initial value α0, and the translation drive unit drives the casting pot back to the initial position.

[0102] The central control module automatically stores parameter data such as temperature curves, tilt angle sequences, and speed sequences for the entire pouring process, forming a traceable process archive.

[0103] If continuous pouring is required, the transfer vehicle will replenish the molten metal to the pouring ladle again, and the system will repeat the process of "material preparation → pre-matching → dynamic pouring"; if the pouring task is completed, the main control module will send a shutdown command, and each module will be powered off or enter standby mode.

[0104] In S4.3, the response delay of the servo adjustment unit is ≤50μs, the field of view of the infrared detection unit is ≤2°, and the detection direction is corrected in real time by the visual positioning unit to avoid background radiation mixing.

[0105] In S4.4, a 3-wavelength fusion algorithm is used to optimize the temperature measurement results, and λ0 and λ are collected simultaneously. 11The radiation signals of λ2 (λ2=λ0+0.2μm) are weighted and fused to output the final temperature value.

[0106] Pouring process:

[0107] Initialization: Set T1=1420℃, T2=1460℃, λ0=2.2μm, k1=0.05, k2=0.2, k3=0.1, C=1.0;

[0108] Material preparation: The transfer vehicle pours molten metal at 1450°C into the casting ladle. The initial temperature measurement shows 1448°C, which meets the ready conditions.

[0109] Pre-matching: Visually recognize the mold gating spacing of 200mm, generate a tilt sequence [5°, 10°, 8°], and a translational speed sequence [0.1m / s, 0.08m / s, 0.1m / s]. Initial flow rate Q0 = 15kg / s. Calculate S0 = 0.05×5 + 0.2×0.1 + 0.1×15 + 1.0 = 2.27. From the database, we find a = -0.01 and b = 0.04. Calculate λ. 10 =-0.04 / (-0.01)-2.2=1.8μm;

[0110] First mold casting: tilt α1 = 5°, translation v1 = 0.1 m / s, flow rate Q1 = 14.8 kg / s, calculate S1 = 2.26, λ 11 =1.8μm, the measured temperature was 1442℃, which meets the threshold;

[0111] Second mold casting: tilt α2 = 10°, S2 = 0.05 × 10 + 0.2 × 0.08 + 0.1 × 16 + 1.0 = 2.71, update a = -0.012, b = 0.045, λ 11 =-0.045 / (-0.012)-2.2=1.55μm, the measured temperature is 1438℃, the tilting speed is adjusted from 0.5° / s to 0.3° / s, the temperature rises back to 1440℃;

[0112] Final stage: Complete the pouring of multiple molds, with the temperature curve fluctuating between 1435 and 1448°C. Parameter data is stored in the local server, and the system is reset to await the next run.

[0113] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it.

Claims

1. An adaptive temperature-measuring casting machine, characterized in that, include: The motion execution module includes a tilting drive unit, a translation drive unit, and a pouring ladle. The tilting drive unit and the translation drive unit drive the pouring ladle to tilt or translate, pouring the molten metal into the mold for pouring. The parameter acquisition module includes a visual positioning unit and multiple sensors. The visual positioning unit is used to identify the shape of the molten metal stream, and the multiple sensors are used to detect the tilt angle α of the casting ladle, the moving speed v, and the molten metal pouring flow rate Q. An adaptive temperature measurement module includes an infrared detection unit, a servo adjustment unit, and a wavelength control unit. The infrared detection unit is equipped with a dual-band detector. The servo adjustment unit drives the infrared detection unit to track the core region of the flow stream. The wavelength control unit is used to dynamically adjust the colorimetric wavelength pair (λ0, λ1). The overall control module is electrically connected to the motion execution module, the parameter acquisition module, and the adaptive temperature measurement module. The overall control module has a built-in liquid surface state mapping model and a dynamic wavelength matching algorithm.

2. The adaptive temperature-measuring casting machine according to claim 1, characterized in that, The liquid surface state mapping model quantifies the liquid surface state feature quantity S using a formula: ， Where k1 is the tilt influence coefficient (0.04~0.06), k2 is the velocity influence coefficient (0.15~0.25), k3 is the flow rate influence coefficient (0.08~0.12), C is the reference constant (value 1.0), and S belongs to [1.0, 3.0]. The larger the value, the more violent the liquid surface fluctuation.

3. The adaptive temperature-measuring casting machine according to claim 2, characterized in that, The wavelength control unit has a built-in emissivity database, which stores the emissivity curves of the liquid metal in the 1~5μm wavelength band under different S values, and is fitted as follows: ， Where a(S), b(S), and c(S) are coefficients that change dynamically with S.

4. The adaptive temperature-measuring casting machine according to claim 3, characterized in that, The dynamic wavelength matching algorithm is based on the condition ε(λ0, S) = ε(λ1, S), and derives the formula for calculating the matching wavelength: ， Where λ0 is the reference wavelength (2.0~2.5μm) and λ1 is the adaptive matching wavelength.

5. The adaptive temperature-measuring casting machine according to claim 1, characterized in that, The plurality of sensors include an angle sensor, a speed sensor, and a flow sensor. The angle sensor is used to detect the tilt angle α of the pouring ladle, the speed sensor is used to detect the moving speed v of the translation drive unit, and the flow sensor is used to detect the pouring flow rate Q of the molten metal.

6. The casting method of the adaptive temperature-measuring casting machine according to any one of claims 1-5, characterized in that, Includes the following steps: S1. System initialization: The main control module calibrates the parameter acquisition module and the adaptive temperature measurement module, presets the reference wavelength λ0=2.2μm, and sets the temperature threshold T1~T2 according to the casting type; S2, molten metal preparation: The transfer vehicle injects molten metal into the casting ladle. The adaptive temperature measurement module performs initial temperature measurement. If the temperature is ≥ T1, the casting is ready. S3, Motion Parameter Pre-matching: S3.1 The visual positioning unit identifies the location of the mold's pouring gate, and the main control module generates the pouring path, including the tilt angle sequence [α1, α2, ..., α]. n Translational velocity sequence [v1, v2, ..., v] n ]; S3.2 Calculate the initial liquid level state S0 based on the initial flow rate Q0, obtain a(S0) and b(S) from the emissivity database, and calculate λ using the wavelength matching formula. 10 ; S4. Dynamic casting and temperature measurement: S4.1 The translation drive unit moves the casting ladle to the starting position, the tilt drive unit starts to tilt according to α1, and the flow sensor collects Q1 in real time; S4.2 The parameter acquisition module transmits α1, v1, and Q1 to the main control module to calculate the real-time value of S1; S4.3, The wavelength control unit updates λ according to S1. 11 The servo adjustment unit drives the infrared detection unit to align with the middle section of the stream, acquiring the dual-wavelength grayscale ratio R(T, λ0, λ) 11 ); S4.4 Substitute the values ​​into the colorimetric thermometry formula to calculate the real-time temperature T; S4.5 If T does not belong to [T1, T2], the main control module adjusts the tilting speed or flow rate to bring the temperature back to the threshold range; S5. Pouring Cycle: Pouring is performed on each mold in sequence, and the finished product is poured after the molten metal cools down.

7. The casting method of the adaptive temperature-measuring casting machine according to claim 6, characterized in that, The formula for calculating the real-time temperature T is: ， Where C2 is the second radiation constant. , λ 11 To dynamically match the operating wavelength, lnR is the natural logarithm of the grayscale ratio of the thermal image, and η(λ0) is the spectral response efficiency of the infrared detector at the reference wavelength λ0. 11 ) is the infrared detector at dynamic wavelength λ 11 The spectral response efficiency is given by r0, where r0 is the transmittance of the optical system at the reference wavelength λ0. 11 For optical systems at dynamic wavelengths λ 11 transmittance, The operating bandwidth corresponding to the reference wavelength λ0. Dynamic wavelength λ 11 The corresponding operating bandwidth.

8. The casting method of the adaptive temperature-measuring casting machine according to claim 6, characterized in that, The S5 step includes the following: S5.

1. Complete the pouring of each mold in sequence according to the preset path. Repeat the parameter update and temperature measurement process of S4.1-S4.5 every time the mold is switched. S5.2 The tilt angle of the pouring ladle is reset to α0, the translation drive unit returns to the initial position, and the main control module stores the temperature curve and motion parameter data of this pouring. S5.3 If continuous pouring is required, repeat S3-S5 after the transfer vehicle replenishes the material again; otherwise, the system will be shut down.

9. The casting method of the adaptive temperature-measuring casting machine according to claim 6, characterized in that, In step S4.3, the response delay of the servo adjustment unit is ≤50μs, the field of view of the infrared detection unit is ≤2°, and the detection direction is corrected in real time by the visual positioning unit to avoid background radiation mixing.

10. The casting method of the adaptive temperature-measuring casting machine according to claim 6, characterized in that, In step S4.4, a 3-wavelength fusion algorithm is used to optimize the temperature measurement results, and λ0 and λ are collected simultaneously. 11 The radiation signals of λ2 (λ2=λ0+0.2μm) are weighted and fused to output the final temperature value.

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