Valve limit position distortion correction method, device, equipment and medium

By analyzing the current system response parameters of the cooling system and predicting the valve opening, identifying and correcting the distortion of the valve limit position in the water-cooling system, the abnormal cooling capacity problem caused by the valve limit position distortion is solved, and the reliability and temperature control of the system are improved. accuracy.

CN119268182APending Publication Date: 2025-01-07SANY ELECTRIC CO LTD
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Patent Information

Application Number
CN202411559410.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-04
Publication Date
2025-01-07

AI Technical Summary

Technical Problem

Distortion of the valve limit position in existing water-cooled systems leads to incorrect instructions of the control system, resulting in abnormal cooling capacity. Currently, there is a lack of effective identification and correction methods.

Method used

By analyzing the current system response parameters when the cooling system temperature is abnormal, predicting the valve opening, and determining whether it is within the possible distortion range, re-correcting the preset limit position, using the valve opening prediction model and control mechanism to establish a mapping relationship, and adjust the limit position Sensor detection effect.

Benefits of technology

Improves the reliability of the cooling system and the accuracy of temperature control, ensuring that the valve can accurately feedback when the preset limit position is located, and avoids temperature abnormalities.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of cooling system control, and discloses a valve limit position distortion correction method, device and equipment and a medium. The method comprises the steps that when the valve is adjusted to a preset limit position, whether the temperature of the cooling system is abnormal or not is analyzed; when the temperature is abnormal, the current valve opening degree is predicted based on the current system response parameters of the cooling system; judging whether the current valve opening degree is within a preset possible distortion range or not based on the current valve opening degree; and when the current valve opening degree is within the possible distortion range, the preset limit position is corrected again. According to the method, the current valve opening is calculated and predicted based on the collected parameters and the operation characteristics of the cooling system, the real operation condition of the cooling system can be better reflected, and the predicted current valve opening is more accurate than that of a limiting sensor. And whether the temperature abnormity is caused by feedback distortion of the valve limit position is determined based on the possible distortion range, if yes, the preset limit position is corrected again immediately, the detection effect of the limit sensor is adjusted, and the cooling reliability is improved.
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Description

Technical Field

[0001] The invention relates to the technical field of cooling system control, and in particular to a method, device, equipment and medium for correcting valve limit position distortion. Background Art

[0002] As the capacity of wind turbines increases, most heat-generating equipment during operation uses a water cooling system to maintain a reasonable operating temperature. Therefore, a stable and reliable water cooling system is the basis for the stable operation of wind turbines, and valves such as three-way valves are key control components of the water cooling system, which adjust the heat dissipation capacity of the water cooling system by changing the valve opening. However, the current limit sensors of water-cooled valves have low accuracy, and the above method relies on the limit position feedback from the upper limit sensor of the valve for temperature control. If the limit position of the valve is distorted, it will cause the control system to issue erroneous or invalid instructions to the three-way valve, causing the valve to feedback fully closed or fully open before reaching the actual limit position (fully open or fully closed), for example Figure 1 As shown, the cooling capacity of the water cooling system is abnormal, which causes the temperature of the controlled components to be abnormal, resulting in unit failure. At present, there is no better solution for the identification and correction of valve limit position distortion. Summary of the invention

[0003] In view of this, the present invention provides a method for correcting valve limit position distortion to solve the problem of lack of solution for identifying and correcting valve limit position distortion.

[0004] In a first aspect, the present invention provides a method for correcting valve extreme position distortion, the method comprising: when the valve is adjusted to a preset extreme position, analyzing whether the temperature of the cooling system is abnormal; when the temperature of the cooling system is abnormal, predicting the current valve opening based on the current system response parameters of the cooling system; judging whether the current valve opening is within a preset possible distortion range based on the current valve opening; when the current valve opening is within the possible distortion range, re-correcting the preset extreme position.

[0005] In some optional implementations, predicting the current valve opening based on the current system response parameters of the cooling system includes: reading the current system response parameters; obtaining a valve opening prediction model, wherein the valve opening prediction model is trained and generated based on a mapping relationship between historical system response parameters and valve openings; inputting the current system response parameters into the valve opening prediction model for calculation, and outputting the current valve opening through the valve opening prediction model.

[0006] In some optional implementations, the step of training the valve opening prediction model includes: obtaining historical system response parameters and historical temperatures corresponding to the cooling system; removing target historical system response parameters corresponding to abnormal temperatures in the historical temperatures from the historical system response parameters to obtain normal historical system response parameters; creating a mapping relationship between the normal historical system response parameters and the valve opening according to the control mechanism of the cooling system; calculating the valve opening training data corresponding to the normal historical system response parameters based on the mapping relationship; and generating the valve opening prediction model by training the normal historical system response parameters and the valve opening training data.

[0007] In some optional embodiments, the mapping relationship between the normal historical system response parameters and the valve opening is created according to the control mechanism of the cooling system, including: establishing a first mapping relationship between the valve opening and the cooling water volume based on the control mechanism of the cooling system; establishing a second mapping relationship between the valve opening and the valve inlet and outlet pressures based on the control mechanism of the cooling system; establishing a third mapping relationship between the cooling water volume and the valve inlet and outlet temperature based on the work done by the cooling system; establishing a fourth mapping relationship between the cooling water volume and the valve lift based on the control mechanism of the cooling system; creating a fifth mapping relationship between the valve opening and the valve inlet and outlet temperature based on the first mapping relationship and the third mapping relationship; creating a sixth mapping relationship between the valve opening and the valve lift based on the first mapping relationship and the fourth mapping relationship; and combining the first mapping relationship, the second mapping relationship, the fifth mapping relationship and the sixth mapping relationship into a mapping relationship between the normal historical system response parameters and the valve opening.

[0008] In some optional embodiments, when the current valve opening is within the possible distortion range, re-correcting the preset limit position includes: determining the limit control type of the current valve, the limit control type including fully open control and fully closed control; when the limit control type is fully open control, controlling the valve to cycle through a continuous opening action for a first preset number of times, the continuous opening action including opening the valve for a first preset time and stopping the action for a second preset time; when the limit control type is fully closed control, controlling the valve to cycle through a continuous closing action for a second preset number of times, the continuous closing action including closing the valve for a third preset time and stopping the action for a fourth preset time; when the continuous opening action or the execution of the continuous closing action is completed, re-predicting the second valve limit opening based on the current system response parameters of the cooling system; and correcting the preset limit position based on the difference between the predicted second valve limit opening and the current valve opening.

[0009] In some optional implementations, the method further includes: acquiring a historical number of distortions; and adjusting the time values ​​of the first preset time, the second preset time, the third preset time, and the fourth preset time according to the historical number of distortions.

[0010] In some optional implementations, the method further includes: after the preset limit position is corrected, updating the possible distortion range according to a correction direction of the preset limit position.

[0011] In a second aspect, the present invention provides a valve extreme position distortion correction device, the device comprising: an abnormality recognition module, used to analyze whether the temperature of the cooling system is abnormal when the valve is adjusted to a preset extreme position; a valve opening prediction module, used to predict the current valve opening based on the current system response parameters of the cooling system when the temperature of the cooling system is abnormal; a distortion recognition module, used to determine whether the current valve opening is within a preset possible distortion range based on the current valve opening; and an extreme position correction module, used to re-correct the preset extreme position when the current valve opening is within the possible distortion range.

[0012] In a third aspect, the present invention provides a computer device, comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the method of the first aspect or any corresponding embodiment thereof by executing the computer instructions.

[0013] In a fourth aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to cause a computer to execute the method of the first aspect or any corresponding embodiment thereof.

[0014] The technical solution provided by the present invention has the following advantages:

[0015] When the valve is adjusted to the preset limit position, the present invention determines whether an abnormal temperature condition occurs. If the temperature is abnormal, it may be caused by the distortion of the limit sensor, but it cannot be completely determined. Therefore, the present invention collects the current system response parameters of the cooling system, and calculates and predicts the current valve opening based on the collected parameters and the cooling system operation characteristics, which can better reflect the actual operation of the cooling system, so that the predicted current valve opening is more accurate than the limit sensor. Afterwards, it is determined whether the predicted current valve opening falls within the possible distortion range. If it falls within the range, it can be determined that the temperature anomaly is caused by the distortion of the valve limit position feedback, and the preset limit position is immediately re-corrected, and the detection effect of the limit sensor is adjusted to ensure that the subsequent use of the limit position value fed back by the limit sensor can accurately control the cooling system temperature, thereby improving the reliability of cooling. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 is a schematic diagram of the effect of distortion of limit position detection of a limit sensor according to an embodiment of the present invention;

[0018] Figure 2 is a flow chart of a valve limit position distortion correction method according to an embodiment of the present invention;

[0019] Figure 3 is another flow chart of a method for correcting valve limit position distortion according to an embodiment of the present invention;

[0020] Figure 4 is another flow chart of a method for correcting valve limit position distortion according to an embodiment of the present invention;

[0021] Figure 5 It is a schematic diagram of a flow chart of a valve limit position distortion correction device according to an embodiment of the present invention;

[0022] Figure 6 It is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0023] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0024] According to an embodiment of the present invention, an embodiment of a method for correcting valve extreme position distortion is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0025] In this embodiment, a method for correcting valve limit position distortion is provided. Figure 2: is a flow chart of a valve limit position distortion correction method according to an embodiment of the present invention, the flow chart includes the following steps:

[0026] Step S101, when the valve is adjusted to a preset limit position, analyzing whether the temperature of the cooling system is abnormal;

[0027] Step S102, when the temperature of the cooling system is abnormal, predicting the current valve opening based on the current system response parameters of the cooling system;

[0028] Step S103, judging whether the current valve opening is within a preset possible distortion range;

[0029] Step S104: when the current valve opening is within the possible distortion range, re-correct the preset limit position.

[0030] Specifically, the working principle of the water cooling system is that when the temperature of the unit is high, the three-way valve and other valves should be opened to increase the water volume to cool down, and when the temperature of the unit is too low, the three-way valve and other valves should be closed to reduce the cooling water volume to increase the temperature. The user inputs the control command on the controller, and the opening size of the valve is detected by the limit sensor and fed back to the user. However, the limit sensor may have the problem of reduced accuracy due to the loss of use time. When the accuracy of the limit sensor is reduced, the valve may not reach the actual limit position (fully open or fully closed) but is fed back by the limit sensor as fully closed or fully open. This problem is the distortion of the limit sensor, so that the controller no longer operates the cooling system valve, resulting in the actual temperature of the cooling system failing to reach the ideal temperature, resulting in abnormal temperature.

[0031] In order to solve the above problem, the embodiment of the present invention continues to analyze whether the temperature of the cooling system is abnormal when the limit sensor feedbacks that the valve has been adjusted to the preset limit position. If the temperature of the cooling system is abnormal, there is reason to suspect that there is a distortion problem with the limit sensor. Since there is not only one reason for the abnormal temperature of the cooling system, other faults may also cause temperature abnormality, so it cannot be directly determined that there is definitely distortion of the limit sensor at present.

[0032] In order to further locate whether there is a distortion problem, the controller collects the current system response parameters. The embodiment of the present invention predicts the valve opening through the current system response parameters of the cooling system, wherein the system response parameters include but are not limited to valve inlet and outlet temperatures, pressure, water flow volume, gear temperature and other attribute parameters of the cooling system. Since the valve opening of the cooling system is often strongly correlated with the above-mentioned system response parameters, the current valve opening can be predicted by analyzing the relationship between the valve opening and the system response parameters according to the control mechanism model of the cooling system. The current valve opening is calculated and predicted based on the collected parameters and the operating characteristics of the cooling system, which can better reflect the actual operating conditions of the cooling system, and thus the predicted current valve opening is more accurate than the limit sensor.

[0033] Afterwards, it is determined whether the predicted current valve opening falls within the possible distortion range. For example, the possible distortion range is set to (K min ,K1),(K2,K max ), where (K min ,K1) represents the possible distortion range when the valve is fully closed, (K2,K max ) represents the possible distortion range when the valve is fully open, and K represents the valve opening.

[0034] The valve opening value that falls within the possible distortion range generally has a significant deviation from the preset limit position fed back by the limit sensor, indicating that there is a significant difference between the actual position and the position fed back by the limit sensor. When the predicted current valve opening falls within the possible distortion range, it can be determined that the temperature anomaly is caused by the distortion of the valve limit position feedback, and the preset limit position needs to be corrected immediately. For example, the possible distortion range of the fully open valve is greater than the fully open preset limit position, and the possible distortion range of the fully closed valve is less than the fully closed preset limit position.

[0035] After adjusting the preset limit position, although the equipment error of the limit sensor is not corrected, the limit sensor controls the valve to fully open and fully close according to the adjusted preset limit position, which can further move the valve more stroke, ensuring that the limit position value fed back by the limit sensor can accurately control the cooling system temperature and improve the reliability of cooling.

[0036] In some optional implementations, the above step S102 includes:

[0037] Step a1, reading the current system response parameters;

[0038] Step a2, obtaining a valve opening prediction model, where the valve opening prediction model is generated by training based on a mapping relationship between historical system response parameters and valve opening;

[0039] Step a3: input the current system response parameter into the valve opening prediction model for calculation, and output the current valve opening through the valve opening prediction model.

[0040] Specifically, the embodiment of the present invention provides a method for identifying the current valve opening based on a data model. Through the mapping relationship between the historical system response parameters and the valve opening, a valve opening prediction model is generated by training a self-learning algorithm model such as a neural network, and then the current system response parameters of the cooling system are collected. After that, the current system response parameters are input into the valve opening prediction model for calculation to predict the current valve opening. The technical solution provided by the embodiment of the present invention, based on the regular analysis capabilities of historical big data and self-learning models, deeply excavates the relationship between the system response parameters and the valve opening, and the current valve opening predicted by the valve opening prediction model is more accurate than simply using some formula calculation methods and empirical models.

[0041] In some optional implementations, the step of training the valve opening prediction model includes:

[0042] Step b1, obtaining historical system response parameters and historical temperatures corresponding to the cooling system;

[0043] Step b2, removing the target historical system response parameters corresponding to the abnormal temperature in the historical temperature from the historical system response parameters to obtain normal historical system response parameters;

[0044] Step b3, creating a mapping relationship between normal historical system response parameters and valve opening according to the control mechanism of the cooling system;

[0045] Step b4, calculating valve opening training data corresponding to normal historical system response parameters based on the mapping relationship;

[0046] Step b5, generating a valve opening prediction model by training with normal historical system response parameters and valve opening training data.

[0047] Specifically, the embodiment of the present invention first obtains training samples for training the valve opening prediction model and preprocesses the training samples. The obtained training samples include the historical system response parameters corresponding to the cooling system, and the historical temperature needs to be obtained additionally. The historical system response parameters include the inlet and outlet pressures, inlet and outlet temperatures, converter temperature, and gearbox temperature of the valve at historical times. Since each valve opening corresponds to an expected control temperature, it is possible to find abnormal temperatures that do not match the expected temperatures corresponding to each valve opening from the historical temperatures. The valve opening corresponding to the abnormal temperature is likely to be a distorted value, and the corresponding target historical system response parameters are not used for training to avoid errors introduced by the training model, so this part of the data is eliminated. Then, a mapping relationship between normal historical system response parameters and valve opening is created according to the control mechanism of the cooling system, and the remaining normal historical system response parameters are substituted into the mapping relationship to obtain the corresponding valve opening training data. Finally, the normal historical system response parameters are used as training inputs, and the valve opening training data is used as the expected output of the model to train the valve opening prediction model, which can significantly improve the accuracy of the model.

[0048] In some optional implementation manners, the above step b3 includes:

[0049] Step c1, establishing a first mapping relationship between valve opening and cooling water volume based on a control mechanism of the cooling system;

[0050] Step c2, establishing a second mapping relationship between valve opening and valve inlet and outlet pressures based on a control mechanism of the cooling system;

[0051] Step c3, establishing a third mapping relationship between the cooling water volume and the valve inlet and outlet temperatures based on the work done by the cooling system;

[0052] Step c4, establishing a fourth mapping relationship between cooling water volume and valve lift based on the control mechanism of the cooling system;

[0053] Step c5, creating a fifth mapping relationship between valve opening and valve inlet and outlet temperatures according to the first mapping relationship and the third mapping relationship;

[0054] Step c6, creating a sixth mapping relationship between valve opening and valve lift according to the first mapping relationship and the fourth mapping relationship;

[0055] Step c7: combining the first mapping relationship, the second mapping relationship, the fifth mapping relationship and the sixth mapping relationship into a mapping relationship between a normal historical system response parameter and a valve opening.

[0056] Specifically, in order to create rich model training samples, it is necessary to clarify the mapping relationship between each system response parameter and the valve opening. First, according to the control mechanism of the cooling system and the law of conservation of energy, the first, second and third mapping relationships mentioned above can be created. The specific formulas needed are as follows.

[0057]

[0058] P·t=C·m·(T2-T1)=C·ρ·S·F·t·(T2-T1)(2)

[0059]

[0060] In the above formula (1), P represents the power of the cooling system, t represents the working time, C represents the specific heat capacity, m represents the mass of cooling water, T2 and T1 represent the valve outlet temperature and inlet temperature respectively, ρ represents the water density, S represents the cross-sectional area of ​​the cold water flow, and F represents the flow rate; in formula (2), K represents the valve opening, represents the nonlinear function of valve opening control, where α, β, γ are the nonlinear function parameters, p2 and p1 represent the valve outlet pressure and inlet pressure, respectively, and g represents the gravity acceleration; in formula (3), V represents the current cooling water volume of the valve, L represents the current head of the valve, and V max is the maximum cooling water volume allowed to pass through the valve, L max It is the maximum lift of the valve.

[0061] Among them, in the above formula (1) represents the first mapping relationship, i.e., the mapping relationship between the valve opening and the cooling water volume; in the above formula (1), K=(p2-p1) / ρ·g represents the second mapping relationship, i.e., the mapping relationship between the valve opening and the valve inlet and outlet pressures; because S·F represents the cooling water volume, the above formula (2) can be converted into the third mapping relationship between the cooling water volume and the valve inlet and outlet temperatures.

[0062] Since the training samples require that the system response parameters are directly related to the valve opening, the third mapping relationship cannot be directly used to create training samples. It is necessary to use the cooling water volume as the intermediate quantity, substitute the third mapping relationship into the first mapping relationship, and combine the two equations to derive the fifth mapping relationship between the valve opening and the valve inlet and outlet temperatures.

[0063] Similarly, the sixth mapping relationship between valve opening and valve lift needs to be derived through equation (3) in the cooling system control mechanism. Taking the cooling water volume as the intermediate quantity, the fourth mapping relationship and the first mapping relationship expressed by equation (3) are combined to obtain an expression directly related to the valve opening and valve lift.

[0064] Finally, the first mapping relationship, the second mapping relationship, the fifth mapping relationship and the sixth mapping relationship are used to represent the mapping relationships directly related to the cooling water volume, the valve inlet and outlet pressure, the valve inlet and outlet temperature and the valve head and the valve opening. Figure 3 As shown, by substituting the historical system response parameters obtained in the above steps into the corresponding expressions, the corresponding valve opening can be calculated to obtain the expected output in the training sample, thereby generating complete training sample data, and then using the generated training samples to train the obtained valve opening prediction model. The model trained by the embodiment of the present invention fully considers the control mechanism of the cooling system, and the model accuracy can be effectively improved.

[0065] In some optional implementations, the above step S104 includes:

[0066] Step d1, determining the current limit control type of the valve, the limit control type includes full open control and full closed control;

[0067] Step d2, when the limit control type is full-open control, the valve is controlled to cyclically perform a continuous opening action for a first preset number of times, the continuous opening action including opening the valve for a first preset time and stopping the action for a second preset time;

[0068] Step d3, when the limit control type is full-close control, the control valve is controlled to cycle and perform a continuous closing action for a second preset number of times, the continuous closing action includes closing the valve for a third preset time and stopping the action for a fourth preset time;

[0069] Step d4, when the continuous opening action or the continuous closing action is completed, re-predicting the second valve limit opening based on the current system response parameters of the cooling system;

[0070] Step d5, correcting the preset limit position based on the difference between the predicted second valve limit opening and the current valve opening.

[0071] Specifically, Figure 4 As shown, when it is identified that the limit position fed back by the limit sensor is distorted, the present invention provides a method for correcting the preset limit position. The method includes two control scenarios, namely, full-open control and full-close control of the valve.

[0072] If the user is operating the full-open control of the valve, the strategy implemented by the controller is to control the valve to cycle and perform the continuous opening action for the first preset number of times, and the continuous opening action includes opening the valve for the first preset time and stopping the action for the second preset time. For example: the controller controls the valve to perform the opening action for 3 seconds (the first preset time T1), then stop for 1 second (the second preset time T2), and repeat this 5 times (the first preset number N1).

[0073] If the user is operating the full-close control of the valve, the controller executes a similar strategy, specifically controlling the valve to cycle and perform the continuous closing action for the second preset number of times, and the continuous closing action includes closing the valve for the third preset time and stopping the action for the fourth preset time. For example: the controller controls the valve to perform the closing action for 3 seconds (the third preset time T3), then stop for 1 second (the fourth preset time T4), and repeat this 5 times (the second preset number N2).

[0074] Through the above adjustment method, it is possible to further ensure that the valve moves in the fully open and fully closed directions. Afterwards, the valve opening prediction model trained in the above steps is used to predict the adjusted second valve limit opening, and then compared with the current valve opening predicted before adjustment. The difference between the two can be used as a basis for adjusting the preset limit position. The preset limit position can be adjusted to the fully open or fully closed direction by the same amount as the difference, thereby achieving the effect of correcting the preset limit position.

[0075] Finally, when the temperature of the cooling system is controlled by the valve opening again, the limit sensor on the valve is still used to feedback the value. When the value feedback by the limit sensor is equal to the preset limit position after correction, the valve is considered to be fully open or fully closed. The embodiment of the present invention only uses the valve opening prediction model to correct the valve distortion, and after correction, the limit sensor is also used to detect the valve opening, which takes into account the efficiency and accuracy of the valve opening detection.

[0076] In some optional implementations, the valve limit position distortion correction method provided by the present invention further includes:

[0077] Step e1, obtaining the number of historical distortions;

[0078] Step e2, adjusting the time values ​​of the first preset time, the second preset time, the third preset time and the fourth preset time according to the number of historical distortions.

[0079] Specifically, the method provided by the embodiment of the present invention also counts the historical distortion times of each valve in the cooling system, so as to adaptively adjust the first preset time, the second preset time, the third preset time, and the fourth preset time according to the historical distortion times. For example, the more historical distortion times, the more frequent the valve limit position distortion occurs. During this correction, the time and number of corrections should be longer to ensure that the correction is in place, so as to adaptively increase the time values ​​of the first preset time, the second preset time, the third preset time, and the fourth preset time. If the historical distortion times show a decreasing trend over time, it means that the valve reliability is improved. During this correction, the time and number of corrections can be adaptively reduced to improve the correction efficiency, so as to adaptively reduce the time values ​​of the first preset time, the second preset time, the third preset time, and the fourth preset time.

[0080] In some optional implementations, after the preset limit position is corrected, the embodiment of the present invention also updates the possible distortion range according to the correction direction of the preset limit position. Specifically, the possible distortion range provided by the present invention is also updated with the correction of the preset limit position. For example, taking full-open control as an example, assuming that the possible distortion range before correction is a valve opening of 26 to 29, if the preset limit position is corrected, the possible distortion range is updated synchronously according to the correction amount, for example, updated to 27 to 29. Through the cyclic execution of steps S101 to S104 of the embodiment of the present invention, each time valve distortion occurs, the possible distortion range is adjusted accordingly until the valve no longer distorts and the temperature no longer becomes abnormal. Similarly, the adjusted possible distortion range will not frequently determine that the valve needs to be corrected, reducing the number of times the controller enters the valve limit position correction strategy, thereby improving the control efficiency of the overall cooling system.

[0081] In this embodiment, a valve limit position distortion correction device is also provided, which is used to implement the above embodiments and preferred implementations, and will not be repeated for what has been described. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0082] This embodiment provides a valve limit position distortion correction device, such as Figure 5 As shown, including:

[0083] The abnormality identification module 501 is used to analyze whether the temperature of the cooling system is abnormal when the valve is adjusted to a preset limit position;

[0084] The valve opening prediction module 502 is used to predict the current valve opening based on the current system response parameters of the cooling system when the temperature of the cooling system is abnormal;

[0085] A distortion identification module 503, used to determine whether the current valve opening is within a preset possible distortion range;

[0086] The limit position correction module 504 is used to re-correct the preset limit position when the current valve opening is within the possible distortion range.

[0087] In some optional implementations, the valve opening prediction module 502 includes:

[0088] Response parameter reading module, used to read the current system response parameters;

[0089] A model acquisition module is used to acquire a valve opening prediction model, and the valve opening prediction model is generated by training based on the mapping relationship between historical system response parameters and valve opening; in some optional implementations, the step of training the valve opening prediction model includes: acquiring historical system response parameters and historical temperatures corresponding to the cooling system; removing target historical system response parameters corresponding to abnormal temperatures in the historical temperatures from the historical system response parameters to obtain normal historical system response parameters; creating a mapping relationship between normal historical system response parameters and valve opening according to the control mechanism of the cooling system; calculating valve opening training data corresponding to normal historical system response parameters based on the mapping relationship; and generating the valve opening prediction model through training with normal historical system response parameters and valve opening training data;

[0090] The model prediction module is used to input the current system response parameters into the valve opening prediction model for calculation, and output the current valve opening through the valve opening prediction model.

[0091] In some optional implementations, the extreme position correction module 504 includes:

[0092] A control type judgment unit is used to judge the limit control type of the current valve, and the limit control type includes full-open control and full-closed control;

[0093] A full-open adjustment unit, used for controlling the valve to cyclically perform a first preset number of continuous opening actions when the limit control type is full-open control, wherein the continuous opening action includes a first preset time for opening the valve and a second preset time for stopping the action;

[0094] A full-close adjustment unit, used for controlling the valve to cyclically perform a continuous closing action for a second preset number of times when the limit control type is full-close control, wherein the continuous closing action includes closing the valve for a third preset time and stopping the action for a fourth preset time;

[0095] A recalculating opening unit, used for re-predicting the second valve limit opening based on the current system response parameters of the cooling system when the continuous opening action or the continuous closing action is completed;

[0096] The correction unit is used to correct the preset limit position based on the difference between the predicted second valve limit opening and the current valve opening.

[0097] In some optional embodiments, the device further comprises:

[0098] Historical distortion statistics module, used to obtain the number of historical distortions;

[0099] The time parameter adjustment module is used to adjust the time values ​​of the first preset time, the second preset time, the third preset time and the fourth preset time according to the number of historical distortion times.

[0100] In some optional embodiments, the device further comprises:

[0101] The possible distortion range updating module is used to update the possible distortion range according to the correction direction of the preset limit position after the preset limit position is corrected.

[0102] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0103] The valve limit position distortion correction device in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0104] The embodiment of the present invention also provides a computer device having the above Figure 5 The valve limit position distortion correction device shown.

[0105] See also Figure 6 , Figure 6 is a schematic diagram of the structure of a computer device provided by an optional embodiment of the present invention, such as Figure 6 As shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components are connected to each other using different buses for communication, and can be installed on a common mainboard or installed in other ways as needed. The processor can process the instructions executed in the computer device, including instructions stored in or on the memory to display the graphical information of the GUI on an external input / output device (such as, a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 6 A processor 10 is taken as an example.

[0106] The processor 10 may be a central processing unit, a network processor or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be a dedicated integrated circuit, a programmable logic device or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic or any combination thereof.

[0107] The memory 20 stores instructions executable by at least one processor 10, so that at least one processor 10 executes the method shown in the above embodiment.

[0108] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely arranged relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0109] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid state drive; the memory 20 may also include a combination of the above types of memory.

[0110] The computer device further comprises a communication interface 30 for the computer device to communicate with other devices or a communication network.

[0111] The embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state hard disk, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.

[0112] A part of the present invention may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present invention through the operation of the computer. Those skilled in the art should understand that the existence of the computer program instruction in a computer-readable medium includes, but is not limited to, a source file, an executable file, an installation package file, etc., and accordingly, the way in which the computer program instruction is executed by the computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Here, the computer-readable medium may be any available computer-readable storage medium or communication medium accessible to the computer.

[0113] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A method for correcting valve limit position distortion, characterized in that: The method comprises: When the valve is adjusted to the preset limit position, analyze whether the cooling system has abnormal temperature; When the cooling system has a temperature abnormality, predicting the current valve opening based on the current system response parameters of the cooling system; Determining whether the current valve opening is within a preset possible distortion range based on the current valve opening; When the current valve opening is within the possible distortion range, the preset limit position is re-corrected.

2. The method according to claim 1, characterized in that The predicting of the current valve opening based on the current system response parameter of the cooling system comprises: Reading the current system response parameters; Acquire a valve opening prediction model, wherein the valve opening prediction model is generated by training based on a mapping relationship between historical system response parameters and valve openings; The current system response parameter is input into the valve opening prediction model for calculation, and the current valve opening is output through the valve opening prediction model.

3. The method according to claim 2, characterized in that The steps of training the valve opening prediction model include: Obtain historical system response parameters and historical temperatures corresponding to the cooling system; Eliminate the target historical system response parameters corresponding to the abnormal temperature in the historical temperatures from the historical system response parameters to obtain normal historical system response parameters; Creating a mapping relationship between the normal historical system response parameter and the valve opening according to the control mechanism of the cooling system; Calculating valve opening training data corresponding to the normal historical system response parameter based on the mapping relationship; The valve opening prediction model is generated by training the normal historical system response parameters and the valve opening training data.

4. The method according to claim 3, characterized in that The step of creating a mapping relationship between the normal historical system response parameter and the valve opening according to the control mechanism of the cooling system includes: Establishing a first mapping relationship between the valve opening and the cooling water volume based on the control mechanism of the cooling system; Establishing a second mapping relationship between the valve opening and the valve inlet and outlet pressures based on the control mechanism of the cooling system; Establishing a third mapping relationship between cooling water volume and valve inlet and outlet temperatures based on the work done by the cooling system; Establishing a fourth mapping relationship between the cooling water volume and the valve lift based on the control mechanism of the cooling system; Creating a fifth mapping relationship between the valve opening and the valve inlet and outlet temperatures according to the first mapping relationship and the third mapping relationship; Creating a sixth mapping relationship between the valve opening and the valve lift according to the first mapping relationship and the fourth mapping relationship; The first mapping relationship, the second mapping relationship, the fifth mapping relationship and the sixth mapping relationship are combined into a mapping relationship between the normal historical system response parameter and the valve opening.

5. The method according to claim 1, characterized in that When the current valve opening is within the possible distortion range, re-correcting the preset limit position comprises: Determine the current limit control type of the valve, wherein the limit control type includes full-open control and full-close control; When the limit control type is full-open control, the control valve is cyclically executed to continuously open for a first preset number of times, and the continuous opening action includes opening the valve for a first preset time and stopping for a second preset time; When the limit control type is full-close control, the control valve is cycled to perform a continuous closing action for a second preset number of times, and the continuous closing action includes closing the valve for a third preset time and stopping the action for a fourth preset time; When the continuous opening action or the continuous closing action is completed, re-predicting the second valve limit opening based on the current system response parameter of the cooling system; The preset limit position is corrected based on a difference between the predicted second valve limit opening and the current valve opening.

6. The method according to claim 5, characterized in that The method further comprises: Get the historical distortion times; The time values ​​of the first preset time, the second preset time, the third preset time, and the fourth preset time are adjusted according to the historical distortion times.

7. The method according to claim 1, characterized in that The method further comprises: After the preset limit position is corrected, the possible distortion range is updated according to the correction direction of the preset limit position.

8. A valve limit position distortion correction device, characterized in that: The device comprises: An abnormality identification module is used to analyze whether the temperature of the cooling system is abnormal when the valve is adjusted to the preset limit position; A valve opening prediction module, used for predicting the current valve opening based on the current system response parameters of the cooling system when the temperature of the cooling system is abnormal; A distortion identification module, used for judging whether the current valve opening is within a preset possible distortion range based on the current valve opening; The limit position correction module is used to re-correct the preset limit position when the current valve opening is within the possible distortion range.

9. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method according to any one of claims 1 to 7 by executing the computer instructions.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the method according to any one of claims 1 to 7.