Mold temperature synergistically regulated automobile part precision die-casting equipment

Abstract

The application discloses a kind of mould temperature synergic regulation and control's automobile parts precision die casting equipment, belong to automobile parts precision die casting field, a kind of mould temperature synergic regulation and control's automobile parts precision die casting equipment includes mould temperature synergic control module, for realizing mould temperature synergic regulation and control process, its steps include: S1, cross disturbance calibration and benchmark model establishment;S2, mould temperature demand acquisition and valve synergic parameter determination;S3, valve synergic regulation execution;S4, response evaluation and running state judgment;S5, model updating and exception handling;According to actual hydraulic response and temperature response form residual, judge system running state, and update model in normal time, freeze model in abnormal time and execute verification processing or output maintenance information, to improve double mould control temperature stability and abnormal identification ability.

Description

Technical Field

[0001] This invention relates to the field of precision die casting of automotive parts, and more specifically, to a precision die casting equipment for automotive parts with coordinated mold temperature control. Background Technology

[0002] In the precision die casting process of automotive parts, the temperature of the fixed mold and the moving mold directly affects the filling, solidification shrinkage, dimensional accuracy, and surface quality of the casting. Existing die casting equipment typically has cooling or temperature-controlled flow channels in both the fixed and moving molds, supplying water to each mold via a cooling water circulation system, main pipe, and branch pipes. To regulate the temperature of both molds, regulating valves are often installed on each water supply branch, adjusting the water flow rate of each branch according to the real-time temperature of the corresponding mold. Some equipment also has a main regulating valve on the common water supply line to change the total water supply to the distribution points.

[0003] However, the temperature control branches on the fixed mold side and the moving mold side typically share the same cooling water circulation device and common water supply pipeline, resulting in significant hydraulic coupling between the two branches at their distribution locations. When the opening of the branch valve in one of the temperature control branches changes, it not only alters the flow rate of that branch but also causes changes in the common water supply pressure, further leading to flow fluctuations in the other temperature control branch. Most existing control methods treat the two temperature control branches as independent control objects, adjusting the corresponding branch valves separately based on temperature deviations, or simply maintaining the main pipeline pressure via the main regulating valve. This makes it difficult to predict the cross-effects of target branch adjustments on non-target branches. Therefore, when the cooling flow rate of the target branch increases or decreases, non-target branches may experience instantaneous flow rate drops, overshoot, or prolonged recovery times, causing the temperatures of the fixed mold and moving mold to become interdependent, affecting mold temperature stability.

[0004] Furthermore, existing control methods typically control the main regulating valve and branch regulating valves based on fixed thresholds or general proportional parameters, without establishing corresponding hydraulic response relationships for different base pressures, base flow rates, initial valve openings, and flow increase / decrease directions. Because of the nonlinearity and response delay between valve action and pipeline pressure and branch flow, simply adjusting the main regulating valve and branch regulating valves synchronously or proportionally makes it difficult to match the public water supply compensation and branch flow redistribution in time, and also fails to simultaneously address the temperature control needs of the target branch and the flow stability of non-target branches.

[0005] Furthermore, existing mold temperature control systems primarily rely on whether the mold temperature has reached the set value as the main criterion for judgment. When there is blockage in the branch circuit, a decrease in the common water supply capacity, malfunction of the valve actuator, an abnormality in the flow sensor, stagnant gas in the temperature control channel, or changes in the heat exchange state, it may manifest as a slow mold temperature response or an increased temperature deviation. Relying solely on temperature deviation is insufficient to distinguish the source of the anomaly. Some adaptive control methods continuously adjust control parameters based on actual operating data, but they do not jointly verify the hydraulic and temperature responses. Abnormal operating condition data may be written into the control model, causing the model to gradually deviate from normal hydraulic characteristics and reducing the accuracy of subsequent control. Therefore, it is necessary to calibrate and characterize the cross-hydraulic response between the two temperature control branches, coordinate the actions of the common water supply valve and the target branch valve during actual adjustment, and combine the hydraulic and temperature responses to judge the system status, thereby improving the stability of mold temperature regulation and the ability to identify anomalies. Summary of the Invention

[0006] The technical problem this invention aims to solve is that in existing precision die-casting equipment for automotive parts, the temperature control branch on the fixed mold side and the temperature control branch on the moving mold side typically share the same water supply pipeline. When the flow rate of one temperature control branch is adjusted, it easily causes changes in the common water supply pressure and fluctuations in the flow rate of the other temperature control branch, resulting in mutual interference between the temperatures of the two molds. Simultaneously, existing mold temperature control methods lack the ability to identify abnormal water supply, abnormal branch flow, abnormal valve operation, and abnormal heat exchange, making it difficult to determine the specific cause of mold temperature deviations in a timely manner. Therefore, this invention provides a precision die-casting equipment for automotive parts with coordinated mold temperature control to reduce the mutual influence between the two temperature control branches, improve the stability of mold temperature regulation, and enhance the system's ability to identify abnormalities.

[0007] To solve the above problems, the present invention adopts the following technical solution.

[0008] A precision die-casting equipment for automotive parts with coordinated mold temperature control includes a frame, a fixed mold and a moving mold mounted on the frame, and a cooling water circulation device mounted on one side of the frame. Temperature-controlled flow channels are respectively provided in the fixed mold and the moving mold. The water supply end of the cooling water circulation device is connected to a main pipe, and the water outlet end of the main pipe is connected to a three-way regulating module. The three-way regulating module is connected to the water inlet end of the temperature-controlled flow channel in the fixed mold and the moving mold through corresponding water supply branch pipes. The water outlet end of the temperature-controlled flow channel in the fixed mold and the moving mold is connected to the water return end of the cooling water circulation device through corresponding water return branch pipes.

[0009] The three-way regulating module includes an inlet pipe section, two outlet pipe sections, and a distribution cavity formed at the connection position between the inlet pipe section and the two outlet pipe sections. One end of the inlet pipe section is connected to the main pipe, and the other end is connected to the two outlet pipe sections through the distribution cavity. The two outlet pipe sections are respectively connected to the corresponding water supply branch pipes. A first butterfly valve is provided on the inlet pipe section, and a second butterfly valve is provided on each of the two outlet pipe sections.

[0010] Each of the aforementioned water outlet pipe sections, the water supply branch pipes connected to the water outlet pipe section, the corresponding temperature control channel, and the return water branch pipes connected to the temperature control channel are sequentially connected and together form a temperature control branch. The two temperature control branches are the fixed mold side temperature control branch and the moving mold side temperature control branch, and the two second butterfly valves are used to adjust the water supply flow of the corresponding temperature control branch.

[0011] The frame is equipped with a mold temperature collaborative control module, which includes a controller, a mold temperature acquisition unit, a pressure acquisition unit, a flow acquisition unit, a valve position acquisition unit, and a valve control unit.

[0012] The mold temperature acquisition unit is used to acquire the real-time temperature of the fixed mold and the moving mold;

[0013] The pressure acquisition unit is used to acquire the pressure in the distribution chamber;

[0014] The flow acquisition unit is used to acquire the flow of the two temperature control branches respectively;

[0015] The valve position acquisition unit is used to acquire the actual opening degree of the first butterfly valve and the two second butterfly valves;

[0016] The valve control unit is used to control the operation of the first butterfly valve and the two second butterfly valves;

[0017] The controller is connected to the mold temperature acquisition unit, pressure acquisition unit, flow acquisition unit, valve position acquisition unit and valve control unit respectively, and is configured to execute the mold temperature collaborative control process. Through the cooperation of the three-way adjustment module, dual temperature control branch and mold temperature collaborative control module, the independent detection and unified adjustment of the cooling water of the fixed mold and the moving mold are realized, thereby improving the stability of mold temperature control and the consistency of die casting.

[0018] As a further technical solution of the present invention, the mold temperature coordinated control process includes the following steps:

[0019] S1. Perform cross-disturbance calibration on the two temperature control branches respectively. Under the condition that one temperature control branch is the target branch and the other temperature control branch is the non-target branch and the basic flow is maintained, adjust the second butterfly valve of the target branch to obtain the cross-hydraulic response parameters, and establish a cross-disturbance benchmark model corresponding to the current target branch based on the cross-hydraulic response parameters.

[0020] S2. Obtain the mold temperature control parameters of the fixed mold and the moving mold, determine the target branch and non-target branch from the two temperature control branches, and determine the valve coordination adjustment parameters for coordinating the control of the first butterfly valve and the second butterfly valve of the target branch based on the cross-disturbance reference model corresponding to the target branch.

[0021] S3. Based on the valve coordination adjustment parameters, coordinate the adjustment of the first butterfly valve and the second butterfly valve of the current target branch to limit the flow fluctuation of the current non-target branch. By performing cross-disturbance calibration on the two temperature control branches and implementing valve coordination adjustment based on the mold temperature requirements, the impact of the target branch adjustment on the non-target branch can be reduced, and the coordination of dual-mode temperature control can be improved.

[0022] As a further technical solution of the present invention, the mold temperature coordinated control process also includes the following steps:

[0023] S4. Obtain the actual cross-hydraulic response parameters and the actual temperature response of the fixed mold and the moving mold during the adjustment process, form the hydraulic response residual, and form the temperature response residual based on the deviation between the actual temperature response and the preset temperature response range. Determine the operating status of the mold temperature control system based on the hydraulic response residual and the temperature response residual.

[0024] S5. When both the hydraulic response residual and the temperature response residual meet the normal response conditions, the cross-disturbance reference model corresponding to the current target branch is updated based on the current adjustment data. When at least one of the hydraulic response residual and the temperature response residual meets the abnormal diagnosis conditions, the cross-disturbance reference model corresponding to the current target branch is frozen, and the corresponding verification processing or maintenance information is output according to the operating status of the mold temperature control system. By jointly analyzing the actual hydraulic response and the mold temperature response, abnormal system operation can be identified, and the reference model can be updated or frozen according to the response results to avoid the accumulation of control deviations caused by abnormal data.

[0025] As a further technical solution of the present invention, in S1, the controller forms a model node from each effective cross-disturbance calibration data. The effective cross-disturbance calibration data is data in which the pressure of the distribution chamber and the flow rates of the two temperature control branches are within a stable range before the disturbance, the actual opening degree of the second butterfly valve of the target branch reaches the commanded opening degree, and the response data after the disturbance is complete. The input data of the model node includes the target branch identifier, the direction of flow increase or decrease, the pressure of the distribution chamber before the disturbance, the flow rates of the two temperature control branches before the disturbance, the actual opening degrees of the first butterfly valve and the two second butterfly valves, and the second butterfly valve of the target branch. The butterfly valve opening change is output data including the target branch flow change, target branch flow response time, distribution chamber pressure offset and recovery time, and non-target branch flow offset and recovery time. The controller groups the model nodes according to the target branch identification and the direction of flow increase or decrease. The grouped model nodes and model node matching rules constitute the cross-disturbance benchmark model. By constructing effective disturbance data into classification model nodes, the hydraulic response relationship under different branches, regulation directions and basic working conditions is clarified, thereby improving the pertinence and traceability of the cross-disturbance benchmark model.

[0026] As a further technical solution of the present invention, when calling the cross-disturbance reference model, the controller selects the corresponding model node group according to the target branch and the adjustment direction, determines the normalized distance between the current operating condition and each model node, selects a preset number of model nodes with smaller distances, and performs weighted processing on the output data of the selected model nodes in a manner that the smaller the distance, the greater the weight, to obtain the predicted target branch flow change, the predicted distribution chamber pressure offset, the predicted non-target branch flow offset, and the predicted response time; when the candidate adjustment amount of the second butterfly valve of the target branch exceeds the calibrated range, the closest boundary model node is adopted, and the current adjustment is split into multiple adjustments within the calibrated range. By selecting similar model nodes through normalized distance and weighted matching, continuous and smooth hydraulic response prediction results can be obtained between different operating conditions, and control distortion caused by out-of-range adjustment can be reduced.

[0027] As a further technical solution of the present invention, in step S2, the controller sets multiple sets of candidate valve coordinated adjustment parameters. Each set of candidate valve coordinated adjustment parameters includes the candidate compensation amount of the first butterfly valve, the candidate adjustment amount of the second butterfly valve in the current target branch, and the candidate action time difference between the two. The controller inputs the candidate adjustment amount and the current operating condition into the corresponding cross-disturbance reference model to obtain the predicted cross-hydraulic response corresponding to the action of the second butterfly valve in the target branch, and determines the predicted pressure and flow response corresponding to the action of the first butterfly valve based on the pre-established pressure compensation data of the first butterfly valve. After combining the two predicted responses, a set of parameters is selected from the multiple sets of candidate valve coordinated adjustment parameters that makes the current target branch flow close to the target flow, the distribution chamber pressure close to the pre-adjustment pressure, the current non-target branch flow close to the pre-adjustment flow, and the action time of the two butterfly valves match. This set of parameters is used as the valve coordinated adjustment parameters. By comprehensively comparing multiple sets of first butterfly valve compensation amounts, second butterfly valve adjustment amounts, and action time differences, the target branch flow demand, common pressure stability, and non-target branch flow maintenance can be taken into account.

[0028] As a further technical solution of the present invention, in S3, when the target branch needs to increase the flow rate, the controller increases the opening of the first butterfly valve according to the compensation amount of the first butterfly valve. After the action time difference, the controller increases the opening of the second butterfly valve of the target branch according to the adjustment amount of the second butterfly valve. When the target branch needs to decrease the flow rate, the controller decreases the opening of the second butterfly valve of the target branch according to the adjustment amount of the second butterfly valve. After the action time difference, the controller decreases the opening of the first butterfly valve according to the compensation amount of the first butterfly valve. The second butterfly valve of the non-target branch maintains the opening before adjustment. When the actual flow rate of the non-target branch exceeds the allowable fluctuation range, the controller stops further increasing the opening of the second butterfly valve of the target branch. While keeping the opening of the second butterfly valve of the non-target branch unchanged, the controller corrects the opening of the first butterfly valve so that the actual flow rate of the non-target branch returns to the allowable fluctuation range. By using different valve action sequences for flow increase and flow decrease, and prioritizing the correction of the first butterfly valve when the flow rate of the non-target branch exceeds the limit, the instantaneous flow disturbance between branches can be effectively suppressed.

[0029] As a further technical solution of the present invention, in step S4, the controller compares the actual target branch flow rate change, the actual distribution chamber pressure offset, the actual non-target branch flow rate offset, and the corresponding response time with the predicted values ​​output by the cross-disturbance reference model, respectively. Based on the differences between the actual values ​​and the predicted values, the corresponding normalization scale, and the preset weights, the controller forms the hydraulic response residual. The controller compares the actual temperature change amplitude, temperature response time, and temperature change direction of the fixed mold and the moving mold with the corresponding preset temperature response range and the expected temperature change direction, respectively. Based on the degree to which the actual temperature response exceeds the preset temperature response range and the consistency of the temperature change direction, the controller forms the temperature response residual. By comparing the actual pressure, flow rate, and response time with the model prediction values ​​and combining the temperature responses of the two molds to form a dual residual, the accuracy and reliability of system state judgment can be improved.

[0030] As a further technical solution of the present invention, the operating states of the mold temperature control system include normal operation state, abnormal public water supply state, abnormal target branch flow state, abnormal valve execution state, abnormal branch cross-coupling state, and abnormal temperature response state; when the actual opening degree of the butterfly valve cannot follow the corresponding command opening degree, it is determined to be an abnormal valve execution state; when the actual pressure of the distribution chamber is lower than the predicted pressure and the actual flow rate of both temperature control branches is lower than the corresponding predicted flow rate, it is determined to be an abnormal public water supply state; when the actual pressure of the distribution chamber is within the predicted pressure range or higher than the predicted pressure, and the actual flow rate of the current target branch is lower than the predicted flow rate, it is determined to be an abnormal public water supply state; when the actual pressure of the distribution chamber is within the predicted pressure range or higher than the predicted pressure, and the actual flow rate of the current target branch is lower than the predicted flow rate, it is determined to be an abnormal target branch flow rate. When the flow rate is lower than the predicted flow rate and the actual flow rate of the non-target branch is within the allowable range, it is determined to be an abnormal flow state of the target branch. When the flow rate deviation of the non-target branch exceeds the predicted range, but the pressure in the distribution chamber and the flow rate of the target branch do not show corresponding abnormalities, it is determined to be an abnormal branch cross-coupling state. When the hydraulic response residual meets the normal response conditions and the temperature response residual meets the abnormal diagnosis conditions, it is determined to be a temperature response abnormal state. By distinguishing various abnormal states based on valve position, pressure, target branch flow rate, non-target branch flow rate, and temperature response characteristics, the scope of fault investigation can be narrowed and maintenance efficiency can be improved.

[0031] As a further technical solution of the present invention, in step S5, when both the hydraulic response residual and the temperature response residual meet the normal response conditions, the operating parameters before this adjustment, the actual adjustment amount of the second butterfly valve of the target branch, and the actual cross-hydraulic response parameters are combined to form reliable model data; when the reliable model data is within a preset merging range of existing model nodes, the output data of the existing model nodes are weighted and updated according to the number of historical samples contained in the existing model nodes; when the reliable model data is not within the preset merging range but is within the allowable operating range of the equipment, the reliable model data is used as a new model node. Write the cross-disturbance baseline model; when at least one of the hydraulic response residual and temperature response residual meets the abnormal diagnosis condition, write the current adjustment data and freeze the corresponding cross-disturbance baseline model. According to the determined operating status of the mold temperature control system, apply a verification opening change to the first butterfly valve or the corresponding second butterfly valve, and determine the corresponding maintenance object according to the response results of the actual valve position, distribution chamber pressure, temperature control branch flow and mold temperature. By updating the model under normal operating conditions and freezing the model under abnormal operating conditions and performing verification adjustments, abnormal samples can be prevented from contaminating the control model, and fault location and closed-loop recovery can be achieved at the same time.

[0032] Compared with the prior art, the advantages of this invention are:

[0033] This invention improves upon the problem of flow fluctuations on one side caused by flow changes on the other side when the cooling water circulation device is set up between the temperature control channels of the fixed mold and the moving mold. It also improves upon the problem of flow fluctuations on the other side caused by flow changes on one side when the two branches are adjusted independently.

[0034] By performing cross-disturbance calibration on the two temperature control branches respectively, the correlation response between the valve action of the target branch and the flow rate of the target branch, the pressure of the distribution chamber and the flow rate of the non-target branch can be obtained. Based on this, a cross-disturbance reference model corresponding to different target branches and the direction of flow increase and decrease can be formed, enabling the controller to predict the hydraulic impact of branch regulation based on actual pressure, flow rate, valve position and mold temperature requirements.

[0035] By comprehensively determining the compensation amount of the first butterfly valve, the adjustment amount of the second butterfly valve in the target branch, and the time difference between their actions, the compensation of the public water supply and the redistribution of the flow in the target branch are matched in amplitude and time. While meeting the mold temperature adjustment requirements of the target branch, the instantaneous flow deviation of the non-target branch is limited, the mutual interference of mold temperature between the fixed mold and the moving mold is reduced, and the stability of mold temperature, consistency of die casting cycle, and dimensional accuracy and forming quality of castings are improved.

[0036] By comparing the actual hydraulic response with the model prediction results, and combining the actual temperature response of the fixed model and the dynamic model to form hydraulic response residuals and temperature response residuals, it is possible to distinguish between abnormalities in public water supply, abnormalities in the flow of the target branch, abnormalities in valve execution, abnormalities in branch cross-coupling, and abnormalities in temperature response. This avoids the problem of difficulty in judging the source of abnormalities based solely on temperature deviations, narrows the scope of fault investigation, and improves maintenance efficiency.

[0037] Furthermore, when the system is functioning normally, updating the cross-disturbance baseline model using reliable adjustment data allows the model to gradually adapt to reasonable changes in pipeline resistance, valve characteristics, and equipment operating status. During abnormal situations, freezing the model and prohibiting the writing of abnormal data prevents abnormal samples from contaminating the model or causing continuous deviations in control parameters. Thus, this invention forms a closed-loop control system encompassing mold temperature detection, hydraulic prediction, valve coordinated adjustment, response diagnosis, model updating, and anomaly handling, improving the accuracy, stability, adaptability, and operational reliability of mold temperature control in precision die-casting equipment. Attached Figure Description

[0038] Figure 1 This is an overall perspective view of the present invention;

[0039] Figure 2 This is a three-dimensional schematic diagram of the main body of the present invention;

[0040] Figure 3 This is a three-dimensional schematic diagram of the main body of the present invention from an axial side view.

[0041] Figure 4 This is a perspective view of the three-way adjustment module of the present invention;

[0042] Figure 5 This is a partial longitudinal half-section perspective view of the three-way adjustment module of the present invention;

[0043] Figure 6 This is a partial half-section perspective view of the three-way adjustment module of the present invention.

[0044] Figure 7 This is a schematic diagram of the mold temperature coordinated control process of the present invention.

[0045] Explanation of the labels in the diagram:

[0046] 1. Frame; 2. Fixed mold; 3. Moving mold; 4. Cooling water circulation device; 5. Main pipe; 6. Three-way adjustment module; 601. Inlet pipe section; 602. Outlet pipe section; 603. Distribution chamber; 604. First butterfly valve; 605. Second butterfly valve; 7. Water supply branch pipe; 8. Return water branch pipe. Detailed Implementation

[0047] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0048] Example 1

[0049] like Figure 1-6 As shown: This embodiment provides a precision die-casting equipment for automotive parts with coordinated mold temperature control. Its mechanical parts include a frame 1, a fixed mold 2, a moving mold 3, a cooling water circulation device 4, a main pipe 5, a three-way adjustment module 6, a water supply branch pipe 7, and a return water branch pipe 8.

[0050] The fixed mold 2 is fixedly installed on the frame 1, and the moving mold 3 is arranged opposite to the fixed mold 2 and can move relative to the fixed mold 2 along the mold closing direction. Both the fixed mold 2 and the moving mold 3 are provided with temperature control channels inside. The water inlet and outlet of the temperature control channels extend to the outside of the corresponding molds, respectively, to allow cooling water to pass through and exchange heat with the molds.

[0051] The cooling water circulation device 4 is located on one side of the frame 1, with its water supply end connected to the main pipe 5 and its return end connected to two return branch pipes 8 respectively. The water outlet end of the main pipe 5 is connected to the three-way regulating module 6.

[0052] The three-way regulating module 6 includes an inlet pipe section 601, two outlet pipe sections 602, and a distribution cavity 603 formed at the connection position between the inlet pipe section 601 and the two outlet pipe sections 602. One end of the inlet pipe section 601 is connected to the main pipe 5, and the other end is connected to the distribution cavity 603; one end of each of the two outlet pipe sections 602 is connected to the distribution cavity 603, and the other end is connected to the corresponding water supply branch pipe 7.

[0053] A first butterfly valve 604 is installed on the inlet pipe section 601 to regulate the total water supply entering the distribution chamber 603; two second butterfly valves 605 are installed on the two outlet pipe sections 602 respectively to regulate the cooling water flow to the fixed mold 2 and the moving mold 3 respectively. Both the first butterfly valve 604 and the second butterfly valve 605 can be electric butterfly valves, and the flow area of ​​the corresponding pipe section can be adjusted by changing the valve plate opening.

[0054] One outlet pipe section 602, its connected water supply branch pipe 7, the temperature control channel within the fixed mold 2, and the corresponding return water branch pipe 8 are sequentially connected to form a temperature control branch on the fixed mold side; the other outlet pipe section 602, its connected water supply branch pipe 7, the temperature control channel within the moving mold 3, and the corresponding return water branch pipe 8 are sequentially connected to form a temperature control branch on the moving mold side. The water supply branch pipe 7 and the return water branch pipe 8 connected to the moving mold 3 are at least partially made of flexible pipe to accommodate the reciprocating movement of the moving mold 3.

[0055] When the equipment is working, the cooling water circulation device 4 delivers cooling water to the distribution chamber 603 through the main pipe 5 and the inlet pipe section 601. Then, the water enters the temperature control channels of the fixed mold 2 and the moving mold 3 through the two outlet pipe sections 602, the second butterfly valve 605 and the water supply branch pipe 7 respectively. After completing the heat exchange, the water returns to the cooling water circulation device 4 through the corresponding return water branch pipe 8, thus forming a circulating temperature control loop.

[0056] Example 2

[0057] like Figure 7 As shown: Based on Example 1, this example further adds a mold temperature co-control module to a precision die-casting equipment for automotive parts with mold temperature co-regulation. The mold temperature co-control module includes a controller, a mold temperature acquisition unit, a pressure acquisition unit, a flow acquisition unit, a valve position acquisition unit, and a valve control unit.

[0058] The mold temperature acquisition unit is used to acquire the real-time temperature of the stationary mold 2 and the moving mold 3;

[0059] The pressure acquisition unit is used to acquire the pressure in the distribution chamber 603;

[0060] The flow acquisition unit is used to acquire the flow of the two temperature control branches respectively;

[0061] The valve position acquisition unit is used to acquire the actual opening degree of the first butterfly valve 604 and the two second butterfly valves 605;

[0062] The valve control unit is used to control the operation of the first butterfly valve 604 and the two second butterfly valves 605;

[0063] The controller is connected to the mold temperature acquisition unit, pressure acquisition unit, flow acquisition unit, valve position acquisition unit, and valve control unit, and is configured to execute a mold temperature coordinated control process, which includes the following steps:

[0064] S1. The controller starts the cooling water circulation device 4 and adjusts the first butterfly valve 604 and the two second butterfly valves 605 to their basic opening. When the pressure in the distribution chamber 603 and the flow rate of the two temperature control branches remain within the corresponding stable range for multiple consecutive sampling cycles, the basic pressure, the basic flow rate of the two temperature control branches, and the basic opening of the first butterfly valve 604 and the two second butterfly valves 605 are recorded.

[0065] Cross-disturbance calibration refers to the step-by-step change of the opening of the second butterfly valve 605 of the target branch under the condition that the non-target branch maintains the basic control state, and simultaneously acquiring the correlation changes of the target branch flow, the distribution chamber pressure and the non-target branch flow, so as to determine the cross-effect of the target branch regulation on the public water supply state and another temperature control branch.

[0066] Specifically, the controller first designates the temperature control branch on the fixed mold side as the target branch and the temperature control branch on the moving mold side as the non-target branch, maintaining the second butterfly valve 605 of the non-target branch at its basic opening. Starting from the basic opening of the second butterfly valve 605 in the target branch, the controller sequentially performs multiple stages of opening increase and decrease according to a preset opening step size. Each disturbance begins from a basic stable state; after the second butterfly valve 605 in the target branch actuates, the flow rate of the target branch, the flow rate of the non-target branch, and the pressure in the distribution chamber are simultaneously collected until all parameters stabilize again; then, the second butterfly valve 605 in the target branch is restored to its basic opening, and the next disturbance is executed only after the system once the basic stability conditions are met again.

[0067] Maintaining the base flow rate in a non-target branch means that its second butterfly valve 605 maintains the base opening and uses the base flow rate before the disturbance as a reference, allowing the actual flow rate to deviate briefly due to the action of the target branch.

[0068] The controller uses the moment when the second butterfly valve 605 of the target branch begins to operate as the response starting point. From each disturbance data point, it extracts the change in the opening degree of the second butterfly valve of the target branch, the change in the stable flow rate of the target branch, the flow response time of the target branch, the maximum pressure deviation and recovery time of the distribution chamber, and the maximum flow deviation and recovery time of the non-target branch. These parameters constitute the cross-hydraulic response parameters. After completing the calibration of the temperature control branch on the fixed mold side, the temperature control branch on the moving mold side is used as the target branch, and the calibration of the other temperature control branch is completed in the same way.

[0069] The controller generates a model node from each valid disturbance data point. Valid disturbance data refers to data where the pressure and flow rates of the two temperature-controlled branches are within a stable range before the disturbance, the actual opening of the second butterfly valve in the target branch reaches the commanded opening, and the response data after the disturbance is complete. The input data for the model node includes the target branch identifier, the direction of flow increase or decrease, the pressure in the distribution chamber before the disturbance, the flow rates of the two temperature-controlled branches, the actual opening of the first butterfly valve 604 and the two second butterfly valves 605, and the change in the opening of the second butterfly valve in the target branch; the output data are the corresponding cross-hydraulic response parameters.

[0070] The controller divides the model nodes into four groups according to the target branch identification and the direction of flow increase / decrease: fixed-mode side flow increase, fixed-mode side flow decrease, moving-mode side flow increase, and moving-mode side flow decrease. These model nodes and their matching calculation rules together constitute the cross-disturbance baseline model. The predicted cross-hydraulic response parameters corresponding to the current operating condition are determined according to the following formula: In the formula, The input vector consists of the current operating conditions and the change in the candidate opening degree of the second butterfly valve in the target branch. For the first Input data for each model node For the first Cross-hydraulic response parameters of each model node To predict the cross-hydraulic response parameters, The preset number of model nodes that are closest to the current input vector. For the current input vector and the first Operating distance between model nodes The calculated weights for the corresponding model nodes. and These are the first two input vectors, respectively. Item parameters, This is the normalization scale for this parameter. This is the preset distance weight for this parameter. The number of input parameters, A positive number set to prevent the denominator from being zero.

[0071] When the current operating condition matches a specific model node, the output data of that model node is used directly. When the current operating condition is located among multiple model nodes, the model nodes that are closer to the current operating condition have a higher weight. When the current candidate adjustment value exceeds the calibrated range, the closest boundary node is used, and a single adjustment is broken down into multiple small adjustments within the calibrated range.

[0072] S2. The controller acquires the real-time temperatures of the fixed mold 2 and the moving mold 3, reads the target temperature corresponding to the current die-casting process stage, and determines the direction and rate of temperature change based on temperature data from multiple consecutive sampling cycles. The real-time temperature, target temperature, direction of temperature change, and rate of temperature change together constitute the mold temperature control parameters.

[0073] The controller pre-stores flow rate adjustment levels corresponding to different temperature deviations and rates of temperature change. When the mold temperature is higher than the target temperature or is still heating up, the target flow rate of the corresponding temperature control branch is increased; the larger the temperature deviation or the faster the heating rate, the greater the increase in target flow rate. When the mold temperature is lower than the target temperature or continues to drop, the target flow rate of the corresponding temperature control branch is decreased; when the temperature is within the allowable range of the target temperature and changes steadily, the current flow rate is maintained.

[0074] The controller determines the adjustment dead zone for each temperature control branch based on the flow acquisition accuracy and the flow fluctuation range under normal stable operating conditions. The boundary value of the adjustment dead zone is not less than the sum of the maximum allowable measurement error of the flow acquisition unit and the flow fluctuation amplitude of the corresponding temperature control branch under normal stable operating conditions, in order to avoid invalid adjustment triggered by detection errors or normal flow fluctuations. When the absolute value of the difference between the target flow and the actual flow of only one temperature control branch exceeds the corresponding adjustment dead zone, that temperature control branch is designated as the target branch for this operation, and the other temperature control branch is designated as a non-target branch. When the absolute values ​​of the differences between two temperature control branches both exceed the corresponding adjustment dead zones, the proportion of the absolute value of the difference to the corresponding base flow is calculated, and the temperature control branch with the larger proportion is designated as the target branch for this operation, and the other temperature control branch is designated as a non-target branch.

[0075] During the equipment commissioning phase, pressure compensation data for the first butterfly valve was also established. Specifically, the two second butterfly valves 605 were kept in different basic opening combinations, and the first butterfly valve 604 was adjusted in stages. The pressure change in the distribution chamber, the flow change in the two temperature control branches, and the response time corresponding to the change in the opening of the first butterfly valve were recorded. The data were then stored according to the pressure before adjustment, the total flow of the two branches, and the actual opening of the first butterfly valve 604 and the two second butterfly valves 605.

[0076] The controller sets multiple sets of candidate valve coordinated adjustment parameters. Each set of candidate parameters includes the candidate compensation amount of the first butterfly valve 604, the candidate adjustment amount of the second butterfly valve 605 in the target branch, and the time difference between their candidate actions. A cross-disturbance benchmark model is used to predict the hydraulic response caused by the candidate adjustment amount of the second butterfly valve in the target branch; the pressure compensation data of the first butterfly valve is used to predict the pressure and flow response caused by the candidate compensation amount of the first butterfly valve. Since the changes in the opening degree of each candidate valve are limited to a preset small adjustment range, which is 5% to 15% of the full stroke of the butterfly valve, preferably 10%, to ensure that the flow rate and the opening degree change are approximately linear within this range, thereby ensuring the effectiveness of the linear superposition prediction, the controller superimposes the two predicted responses to obtain the predicted flow rate of the target branch, the predicted pressure of the distribution chamber, and the predicted flow rate of the non-target branch after executing the set of candidate parameters.

[0077] Valve coordinated control parameters are determined according to the following formula: In the formula, To determine the valve coordination adjustment parameters, The candidate parameters consist of the candidate compensation amount of the first butterfly valve, the candidate adjustment amount of the second butterfly valve in the target branch, and the candidate action time difference. To meet the requirements of the butterfly valve opening range and actuation time difference range, , and These are the predicted target branch flow rate, predicted distribution chamber pressure, and predicted non-target branch flow rate after applying the candidate parameters. For the target branch target flow, To adjust the pressure in the pre-distribution chamber, For the non-target branch pre-regulation flow, The predicted time difference is the pressure compensation effect of the first butterfly valve and the flow redistribution caused by the second butterfly valve in the target branch. This is the normalization scale for the corresponding parameters. Preset weights.

[0078] The controller selects a set of parameters from the candidate parameter set that makes the target branch close to the target flow rate, the distribution chamber pressure close to the pre-regulation pressure, the non-target branch close to the pre-regulation flow rate, and the action time of the two butterfly valves match each other, as the valve coordination regulation parameters.

[0079] S3. The controller reads the valve coordination adjustment parameters determined in step S2. When the target branch needs to increase flow, the opening of the first butterfly valve 604 is first increased according to the compensation amount of the first butterfly valve. After the corresponding action time difference, the opening of the second butterfly valve 605 in the target branch is then increased according to the adjustment amount of the second butterfly valve. When the target branch needs to decrease flow, the opening of the second butterfly valve 605 in the target branch is first decreased according to the adjustment amount of the second butterfly valve. After the corresponding action time difference, the opening of the first butterfly valve 604 is then decreased according to the compensation amount of the first butterfly valve. The second butterfly valve 605 in the non-target branch remains at its original opening.

[0080] During the adjustment process, the controller continuously compares the actual flow rate of the non-target branch with the flow rate before adjustment. When the flow rate of the non-target branch is within the allowable fluctuation range, the valve coordination adjustment parameters continue to be executed; when it exceeds the allowable fluctuation range, the further increase in the opening of the second butterfly valve 605 of the target branch is paused, and the first butterfly valve 604 is slightly adjusted within the allowable correction range of the first butterfly valve compensation amount without changing the opening of the second butterfly valve 605 of the non-target branch, until the flow rate of the non-target branch returns to the allowable fluctuation range. When the first butterfly valve 604 and the second butterfly valve 605 of the target branch reach the corresponding target opening, and the flow rate of the non-target branch is within the allowable fluctuation range for multiple consecutive sampling cycles, the coordination adjustment is considered complete.

[0081] S4. The controller, following the same data extraction method as S1, obtains the actual target branch flow change, target branch response time, actual distribution chamber pressure offset and recovery time, and actual non-target branch flow offset and recovery time from the current adjustment data to form the actual cross hydraulic response parameters.

[0082] The controller also acquires the start time, direction, amplitude, and rate of temperature change for both the fixed mold 2 and the moving mold 3 after adjustment, and retrieves the corresponding preset temperature response range according to the current die-casting process stage, target branch type, and the pre-adjustment temperature and flow rate change levels. The hydraulic response residual and temperature response residual are determined by the following formula: In the formula, For hydraulic response residuals, For temperature response residuals, These represent the actual target branch flow rate change, the actual distribution chamber pressure offset, and the actual non-target branch flow rate offset, respectively. For the corresponding predicted value, and These are the actual and predicted hydraulic response times, respectively. To correspond to the normalization scale, For hydraulic parameter weights; This indicates the mold corresponding to the target branch. This indicates the mold corresponding to the non-target branch. and These represent the actual temperature change amplitude and temperature response time of the corresponding mold, respectively. and These correspond to the range of temperature change amplitude and the range of temperature response time, respectively. This indicates that the parameter is zero when it is within the interval, and the difference between it and the nearest interval boundary is taken when it is outside the interval. and These represent the actual direction of temperature change and the expected direction of temperature change, respectively. This is a discrimination term that takes one when the directions are inconsistent and zero when the directions are consistent. For the normalization scale of temperature parameters, As for the temperature response weights, each normalization scale is determined based on the normal fluctuation amplitude of the corresponding parameter obtained from multiple adjustments under normal operating conditions of the equipment, preferably 1.2 to 1.5 times the corresponding normal fluctuation amplitude.

[0083] The normal response limit is determined by adding a safety margin to the maximum residual value formed by multiple normal adjustments during the equipment calibration phase. The abnormal diagnosis limit is set to a value higher than the normal response limit. The normal response condition is met when neither of the two residuals exceeds its respective normal response limit; the abnormal diagnosis condition is met when either residual exceeds the abnormal diagnosis limit, or when it exceeds the normal response limit for multiple consecutive adjustment cycles.

[0084] The operating status of the mold temperature control system includes normal operation, abnormal public water supply, abnormal target branch flow, abnormal valve execution, abnormal branch cross-coupling, and abnormal temperature response. Normal operation is defined as when both residuals meet the normal response conditions and the actual butterfly valve opening follows the commanded opening. Abnormal valve execution is prioritized when the commanded butterfly valve opening changes but the actual opening does not. Abnormal public water supply is defined as when the actual pressure in the distribution chamber is lower than the predicted value and the flow rates in both temperature-controlled branches are lower than the predicted values. Abnormal target branch flow is defined as when the distribution chamber pressure is normal or higher than the predicted value, the target branch flow rate is lower than the predicted value, and the non-target branch flow rate is normal. Abnormal branch cross-coupling is defined as when the non-target branch flow rate deviates beyond the predicted range, but the pressure and target branch flow rate do not exhibit the above abnormalities. Abnormal temperature response is defined as when the hydraulic response residual is normal but the temperature response residual is abnormal. When both residuals are abnormal, the hydraulic abnormality is first determined based on valve position, pressure, and flow characteristics, with temperature abnormality considered as an accompanying state.

[0085] S5. When at least one of the hydraulic response residual and temperature response residual meets the abnormal diagnosis condition, the controller prohibits writing the current adjustment data into the cross-disturbance reference model and freezes the cross-disturbance reference model corresponding to the current target branch. Based on the operating status of the mold temperature control system determined in step S4, the controller applies a verification opening change to the first butterfly valve 604 or the corresponding second butterfly valve 605.

[0086] Verification of opening change refers to, without altering the correspondence between the current target branch and non-target branch, and without causing the corresponding temperature control branch to exceed its allowable pressure and flow range, causing the butterfly valve to undergo a unidirectional or reciprocating opening change of a preset amplitude based on its current actual opening. Within a preset verification time, the actual opening of the butterfly valve, the pressure in the distribution chamber 603, the flow rate of the target branch, the flow rate of the non-target branch, and the temperatures of the stationary mold 2 and the moving mold 3 are collected. The preset amplitude is smaller than the valve adjustment amplitude used for normal mold temperature regulation, and is used to verify whether the butterfly valve, the common water supply pipeline, or the corresponding temperature control branch can produce a normal response without significantly altering the mold temperature. After verification, the controller restores the butterfly valve to its pre-verification opening.

[0087] When the mold temperature control system is in an abnormal state of the common water supply, the controller keeps the opening of the two second butterfly valves 605 unchanged, applies a unidirectional verification opening change to the first butterfly valve 604, that is, slightly increases its opening based on its current actual opening, and collects the pressure of the distribution chamber 603 and the flow of the two temperature control branches. If the actual opening of the first butterfly valve 604 can reach the verification opening, but the pressure of the distribution chamber and the flow of the two temperature control branches do not change in a direction corresponding to the increase in opening, then the common water supply response is determined to be abnormal, and maintenance information for the cooling water circulation device 4, the main pipeline 5, or the first butterfly valve 604 is output.

[0088] When the mold temperature control system is in an abnormal flow state in the target branch, the controller keeps the opening of the second butterfly valve 605 in the non-target branch unchanged, and applies a reciprocating verification opening change to the second butterfly valve 605 in the target branch. That is, it first slightly increases the opening based on the current opening, and after a preset holding time, it returns to the opening before verification, and collects the flow rate and distribution chamber pressure of the target branch. If the actual opening of the second butterfly valve 605 in the target branch can follow the verification command, but the change in the flow rate in the target branch is lower than the normal response range of the corresponding verification opening change, then it is determined that the flow in the target branch is blocked, and maintenance information for the corresponding outlet pipe section 602, supply branch pipe 7, temperature control channel, or return branch pipe 8 is output.

[0089] When the mold temperature control system is in an abnormal valve operation state, the controller applies a reciprocating verification opening change to the first butterfly valve 604 or the second butterfly valve 605 that is determined to be abnormal. That is, a first verification opening and a second verification opening are set on both sides of the current actual opening, and the corresponding opening commands are sent sequentially. If the actual opening obtained by the valve position acquisition unit cannot change in the direction of the command, or if the actual opening change is lower than the allowable following range, the corresponding butterfly valve or its actuator is determined to be abnormal, and corresponding maintenance information is output.

[0090] When the temperature control system is in an abnormal state of branch cross-coupling, after the pressure and flow rate stabilize, the controller keeps the opening of the second butterfly valve 605 of the non-target branch unchanged, and applies a verification opening change to the second butterfly valve 605 of the target branch with the same direction of disturbance as before the abnormality, but with a smaller amplitude than the normal adjustment amplitude. If the flow deviation of the non-target branch still exceeds the prediction range corresponding to the cross-disturbance reference model, it is determined that the hydraulic coupling characteristics between branches are abnormal, and the inspection information of the distribution chamber 603, the second butterfly valve 605 of the non-target branch, or the flow acquisition unit is output.

[0091] When the mold temperature control system is in an abnormal temperature response state, the controller will no longer change the butterfly valve opening, but will maintain the flow rate of the two temperature control branches and extend the temperature observation time. If the temperature change direction, temperature change amplitude, or temperature response time of the corresponding mold still does not enter the preset temperature response range, the controller will output inspection information on the mold temperature acquisition unit, the heat exchange status of the temperature control channel, or the venting status of the temperature control channel.

[0092] In summary, this invention, by setting a three-way regulating module 6 between the cooling water circulation device 4 and the temperature control channels of the fixed mold 2 and the moving mold 3, and by using a first butterfly valve 604 to regulate the common water supply state entering the distribution chamber 603, and by using two second butterfly valves 605 to regulate the water supply flow of the temperature control branch on the fixed mold side and the temperature control branch on the moving mold side respectively, enables the two temperature control branches to respond to the temperature regulation requirements of the corresponding molds respectively, and to perform coordinated control at the common water supply level, thus improving the problem of flow fluctuation on the other side caused by flow changes on one side when the traditional dual-branch independent regulation is implemented.

[0093] By performing cross-disturbance calibration on the two temperature control branches respectively, the correlation response between the valve action of the target branch and the flow rate of the target branch, the pressure of the distribution chamber and the flow rate of the non-target branch can be obtained. Based on this, a cross-disturbance reference model corresponding to different target branches and the direction of flow increase and decrease can be formed, enabling the controller to predict the hydraulic impact of branch regulation based on actual pressure, flow rate, valve position and mold temperature requirements.

[0094] By comprehensively determining the compensation amount of the first butterfly valve, the adjustment amount of the second butterfly valve in the target branch, and the time difference between their actions, the compensation of the public water supply and the redistribution of the flow in the target branch are matched in amplitude and time. While meeting the mold temperature adjustment requirements of the target branch, the instantaneous flow deviation of the non-target branch is limited, the mutual interference of mold temperature between the fixed mold and the moving mold is reduced, and the stability of mold temperature, consistency of die casting cycle, and dimensional accuracy and forming quality of castings are improved.

[0095] By comparing the actual hydraulic response with the model prediction results, and combining the actual temperature response of the fixed model and the dynamic model to form hydraulic response residuals and temperature response residuals, it is possible to distinguish between abnormalities in public water supply, abnormalities in the flow of the target branch, abnormalities in valve execution, abnormalities in branch cross-coupling, and abnormalities in temperature response. This avoids the problem of difficulty in judging the source of abnormalities based solely on temperature deviations, narrows the scope of fault investigation, and improves maintenance efficiency.

[0096] Furthermore, when the system is functioning normally, updating the cross-disturbance baseline model using reliable adjustment data allows the model to gradually adapt to reasonable changes in pipeline resistance, valve characteristics, and equipment operating status. During abnormal situations, freezing the model and prohibiting the writing of abnormal data prevents abnormal samples from contaminating the model or causing continuous deviations in control parameters. Thus, this invention forms a closed-loop control system encompassing mold temperature detection, hydraulic prediction, valve coordinated adjustment, response diagnosis, model updating, and anomaly handling, improving the accuracy, stability, adaptability, and operational reliability of mold temperature control in precision die-casting equipment.

[0097] The above are merely preferred embodiments of the present invention; however, the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and its improved concept, should be covered within the scope of protection of the present invention.

Claims

1. A precision die-casting equipment for automotive parts with coordinated mold temperature control, comprising a frame (1), a fixed mold (2) and a moving mold (3) disposed on the frame (1), and a cooling water circulation device (4) disposed on one side of the frame (1), wherein the fixed mold (2) and the moving mold (3) are respectively provided with temperature control channels, and the water supply end of the cooling water circulation device (4) is connected to a main pipe (5), characterized in that: The outlet of the main pipe (5) is connected to a three-way regulating module (6). The three-way regulating module (6) is connected to the inlet of the temperature control channel in the fixed mold (2) and the moving mold (3) through the corresponding water supply branch pipe (7). The outlet of the temperature control channel in the fixed mold (2) and the moving mold (3) is connected to the return end of the cooling water circulation device (4) through the corresponding return water branch pipe (8). The three-way regulating module (6) includes an inlet pipe section (601), two outlet pipe sections (602), and a distribution cavity (603) formed at the connection position between the inlet pipe section (601) and the two outlet pipe sections (602). One end of the inlet pipe section (601) is connected to the main pipe (5), and the other end is connected to the two outlet pipe sections (602) through the distribution cavity (603). The two outlet pipe sections (602) are connected to the corresponding water supply branch pipes (7). A first butterfly valve (604) is provided on the inlet pipe section (601), and a second butterfly valve (605) is provided on each of the two outlet pipe sections (602). Each of the aforementioned water outlet pipe sections (602), the water supply branch pipe (7) connected to the water outlet pipe section (602), the corresponding temperature control channel, and the return water branch pipe (8) connected to the temperature control channel are sequentially connected and together form a temperature control branch. The two temperature control branches are the fixed mold side temperature control branch and the moving mold side temperature control branch, and the two second butterfly valves (605) are used to adjust the water supply flow of the corresponding temperature control branch. The frame (1) is equipped with a mold temperature collaborative control module, which includes a controller, a mold temperature acquisition unit, a pressure acquisition unit, a flow acquisition unit, a valve position acquisition unit, and a valve control unit; The mold temperature acquisition unit is used to acquire the real-time temperature of the fixed mold (2) and the moving mold (3); The pressure acquisition unit is used to acquire the pressure in the distribution chamber (603); The flow acquisition unit is used to acquire the flow of the two temperature control branches respectively; The valve position acquisition unit is used to acquire the actual opening degree of the first butterfly valve (604) and the two second butterfly valves (605); The valve control unit is used to control the operation of the first butterfly valve (604) and the two second butterfly valves (605); The controller is connected to the mold temperature acquisition unit, pressure acquisition unit, flow acquisition unit, valve position acquisition unit and valve control unit respectively, and is configured to execute the mold temperature coordinated control process.

2. The precision die-casting equipment for automotive parts with coordinated mold temperature control according to claim 1, characterized in that: The mold temperature coordinated control process includes the following steps: S1. Perform cross-disturbance calibration on the two temperature control branches respectively. Under the condition that one temperature control branch is the target branch and the other temperature control branch is the non-target branch and the basic flow is maintained, adjust the second butterfly valve (605) of the target branch to obtain the cross-hydraulic response parameters, and establish a cross-disturbance benchmark model corresponding to the current target branch based on the cross-hydraulic response parameters. S2. Obtain the mold temperature control parameters of the fixed mold (2) and the moving mold (3), determine the target branch and non-target branch from the two temperature control branches, and determine the valve coordination adjustment parameters for coordinating the control of the first butterfly valve (604) and the second butterfly valve (605) of the target branch based on the cross-disturbance reference model corresponding to the target branch. S3. Based on the valve coordination adjustment parameters, coordinate the first butterfly valve (604) and the second butterfly valve (605) of the current target branch to limit the flow fluctuation of the current non-target branch.

3. The precision die-casting equipment for automotive parts with coordinated mold temperature control according to claim 2, characterized in that: The mold temperature coordinated control process also includes the following steps: S4. Obtain the actual cross-hydraulic response parameters during the adjustment process and the actual temperature response of the fixed mold (2) and the moving mold (3), form the hydraulic response residual, and form the temperature response residual according to the deviation between the actual temperature response and the preset temperature response range, and determine the operating status of the mold temperature control system according to the hydraulic response residual and the temperature response residual. S5. When both the hydraulic response residual and the temperature response residual meet the normal response conditions, update the cross-disturbance reference model corresponding to the target branch based on the current adjustment data; when at least one of the hydraulic response residual and the temperature response residual meets the abnormal diagnosis conditions, freeze the cross-disturbance reference model corresponding to the target branch, and perform corresponding verification processing or output maintenance information according to the operating status of the mold temperature control system.

4. The precision die-casting equipment for automotive parts with coordinated mold temperature control according to claim 3, characterized in that: In step S1, the controller forms a model node from each effective cross-disturbance calibration data. The effective cross-disturbance calibration data is data where the pressure of the distribution chamber (603) and the flow rates of the two temperature-controlled branches are within a stable range before the disturbance, the actual opening of the second butterfly valve (605) of the target branch reaches the commanded opening, and the response data after the disturbance is complete. The input data of the model node includes the target branch identifier, the direction of flow increase or decrease, the pressure of the distribution chamber before the disturbance, the flow rates of the two temperature-controlled branches before the disturbance, the actual opening of the first butterfly valve (604) and the two second butterfly valves (605), and the change in the opening of the second butterfly valve (605) of the target branch. The output data includes the change in the flow rate of the target branch, the flow response time of the target branch, the pressure offset and recovery time of the distribution chamber, and the flow offset and recovery time of the non-target branch. The controller groups the model nodes according to the target branch identifier and the direction of flow increase or decrease, and the cross-disturbance reference model is formed by the grouped model nodes and the model node matching rules.

5. The precision die-casting equipment for automotive parts with coordinated mold temperature control according to claim 4, characterized in that: When the cross-disturbance reference model is invoked, the controller selects the corresponding model node group according to the target branch and adjustment direction, determines the normalized distance between the current operating condition and each model node, selects a preset number of model nodes with smaller distances, and performs weighted processing on the output data of the selected model nodes in a manner that the smaller the distance, the greater the weight, to obtain the predicted target branch flow change, the predicted distribution chamber pressure offset, the predicted non-target branch flow offset, and the predicted response time. When the candidate adjustment amount of the second butterfly valve (605) of the target branch exceeds the calibrated range, the closest boundary model node is adopted, and the current adjustment is split into multiple adjustments within the calibrated range.

6. The precision die-casting equipment for automotive parts with coordinated mold temperature control according to claim 5, characterized in that: In step S2, the controller sets multiple sets of candidate valve coordinated adjustment parameters. Each set of candidate valve coordinated adjustment parameters includes the candidate compensation amount of the first butterfly valve (604), the candidate adjustment amount of the second butterfly valve (605) of the current target branch, and the candidate action time difference between the two. The controller inputs the candidate adjustment amount and the current operating condition into the corresponding cross-disturbance reference model to obtain the predicted cross-hydraulic response corresponding to the action of the second butterfly valve (605) of the target branch, and determines the predicted pressure and flow response corresponding to the action of the first butterfly valve (604) based on the pre-established pressure compensation data of the first butterfly valve. After combining the two predicted responses, a set of parameters is selected from the multiple sets of candidate valve coordinated adjustment parameters that makes the current target branch flow close to the target flow, the distribution chamber pressure close to the pressure before adjustment, the current non-target branch flow close to the flow before adjustment, and the action time of the two butterfly valves match, as the valve coordinated adjustment parameters.

7. The precision die-casting equipment for automotive parts with coordinated mold temperature control according to claim 6, characterized in that: In step S3, when the target branch needs to increase its flow rate, the controller increases the opening of the first butterfly valve (604) according to the first butterfly valve compensation amount. After the time difference, the controller increases the opening of the second butterfly valve (605) of the target branch according to the second butterfly valve adjustment amount. When the target branch needs to decrease its flow rate, the controller decreases the opening of the second butterfly valve (605) of the target branch according to the second butterfly valve adjustment amount. After the time difference, the controller decreases the opening of the first butterfly valve (604) according to the first butterfly valve compensation amount. The second butterfly valve (605) of the non-target branch remains at its pre-adjustment opening. When the actual flow rate of the non-target branch exceeds the allowable fluctuation range, the controller stops further increasing the opening of the second butterfly valve (605) of the target branch and corrects the opening of the first butterfly valve (604) while keeping the opening of the second butterfly valve (605) of the non-target branch unchanged, so that the actual flow rate of the non-target branch returns to the allowable fluctuation range.

8. The precision die-casting equipment for automotive parts with coordinated mold temperature control according to claim 3, characterized in that: In S4, the controller compares the actual target branch flow change, the actual distribution chamber pressure offset, the actual non-target branch flow offset, and the corresponding response time with the predicted values ​​output by the cross-disturbance reference model, and forms the hydraulic response residual based on the differences between the actual values ​​and the predicted values, the corresponding normalization scale, and the preset weights. The controller compares the actual temperature change amplitude, temperature response time, and temperature change direction of the fixed model (2) and the moving model (3) with the corresponding preset temperature response range and the expected temperature change direction, and forms the temperature response residual based on the degree to which the actual temperature response exceeds the preset temperature response range and the consistency of the temperature change direction.

9. The precision die-casting equipment for automotive parts with coordinated mold temperature control according to claim 8, characterized in that: The operating states of the mold temperature control system include normal operation, abnormal public water supply, abnormal target branch flow, abnormal valve execution, abnormal branch cross-coupling, and abnormal temperature response. When the actual opening of the butterfly valve cannot follow the corresponding command opening, it is determined to be an abnormal valve execution state. When the actual pressure of the distribution chamber (603) is lower than the predicted pressure and the actual flow of both temperature control branches is lower than the corresponding predicted flow, it is determined to be an abnormal public water supply state. When the actual pressure of the distribution chamber (603) is within or higher than the predicted pressure, the actual flow of the current target branch is lower than the predicted flow, and the actual flow of the current non-target branch is within the allowable range, it is determined to be an abnormal target branch flow state. When the flow deviation of the current non-target branch exceeds the predicted range, but the pressure of the distribution chamber and the flow of the current target branch do not show corresponding abnormalities, it is determined to be an abnormal branch cross-coupling state. When the hydraulic response residual meets the normal response conditions and the temperature response residual meets the abnormal diagnosis conditions, it is determined to be an abnormal temperature response state.

10. The precision die-casting equipment for automotive parts with coordinated mold temperature control according to claim 9, characterized in that: In S5, when both the hydraulic response residual and the temperature response residual meet the normal response conditions, the operating parameters before this adjustment, the actual adjustment amount of the second butterfly valve (605) of the target branch, and the actual cross hydraulic response parameters are combined to form reliable model data. When the trusted model data and the existing model node are within the preset merging range, the output data of the existing model node is weighted and updated according to the number of historical samples contained in the existing model node. When the trusted model data is not within the preset merging range but is within the allowable operating range of the equipment, the trusted model data is written as a new model node into the cross-disturbance reference model. When at least one of the hydraulic response residual and the temperature response residual meets the abnormal diagnosis condition, the writing of the current adjustment data is prohibited and the corresponding cross-disturbance reference model is frozen. According to the determined operating status of the mold temperature control system, a verification opening change is applied to the first butterfly valve (604) or the corresponding second butterfly valve (605), and the corresponding maintenance object is determined according to the response results of the actual valve position, distribution chamber pressure, temperature control branch flow rate and mold temperature.

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