Method and system for controlling circulating flow of headstock oil path of spinning frame

Abstract

The invention relates to the field of textile machinery, in particular to a spinning frame headstock oil path circulation flow control method and system. The method comprises the steps of obtaining a pre-instruction of a specific operation; based on the pre-instruction, judging a system running state before the specific operation actually occurs; when the system operation state meets the preset condition, a pre-pressurization instruction of the fluid pump is generated and executed according to the pre-instruction; controlling the fluid pump to speed up by executing a pre-pressurization instruction, establishing a pressure margin in the fluid circulation system, and inhibiting fluid flash caused by the specific operation by using the pressure margin; and after the pre-pressurization instruction is executed, normal flow control of the fluid pump is recovered. The technical problems of flow measurement distortion, flow overshoot, component fatigue and the like which are caused by oil flash evaporation in an existing spinning frame headstock oil path circulating system are solved.

Description

Technical Field

[0001] This application relates to the field of textile machinery, and more specifically, to a method and system for controlling the circulating flow of oil circuit in the head of a spinning machine. Background Technology

[0002] In the modern textile industry, the oil circulation system inside the spinning machine head lubricates and cools the high-speed rotating parts, ensuring stable and efficient machine operation. Its flow control is of paramount importance.

[0003] However, in the daily production of spinning machines, periodic automated operations such as "doffing" require the main drive system to perform drastic speed changes within a short period of time. The mechanical shock generated by this normal operation is transmitted to the oil circulation system, especially near the oil pump inlet, causing a momentary hydraulic "surge" effect. If the local pressure suddenly drops below the saturated vapor pressure of the oil, the trace amounts of air or vapor dissolved in the oil will rapidly precipitate out, forming a large number of tiny bubbles, i.e., the "oil flash evaporation" phenomenon occurs.

[0004] The presence of these tiny air bubbles drastically alters fluid properties, causing the flow sensor to fail to accurately measure the true oil flow rate, thus outputting a sharply decreased erroneous flow rate value to the control system. Upon receiving this erroneous signal, the control system immediately instructs the oil pump to operate at extremely high speed to compensate for the perceived flow gap. However, the immense pressure generated by the high-speed operation of the oil pump quickly recompresses and dissolves the microbubbles. Once the bubbles disappear, the sensor reading returns to normal, but due to the lag in the control system's response, the oil pump continues to execute the high-speed command, resulting in a flow rate far exceeding the set value, causing a severe flow "overshoot".

[0005] To avoid frequent false alarms, existing systems typically employ "anomaly masking rules" that classify sudden drops and recoveries in flow during the "yarn removal" operation as "expected transient disturbances" and do not generate alarms. This rule ignores the system's internal response behavior, causing each "yarn removal" operation to trigger a severe oil circuit overpressure cycle. Long-term, accumulated periodic high-intensity shocks lead to fatigue in critical components such as pressure regulating valves, resulting in continuous leakage even under normal operating conditions. In this situation, the control system compensates for the leakage by increasing the oil pump's reference speed, making the flow appear normal, but this actually increases energy consumption, accelerates oil degradation, masks deeper problems, and makes fault diagnosis extremely difficult.

[0006] To address the aforementioned issues, existing technologies urgently need improvement. Summary of the Invention

[0007] This application discloses a method and system for controlling the circulating flow of the oil circuit in the head of a spinning machine, which aims to solve the technical problems that are difficult to diagnose in the existing oil circuit circulation system of the head of a spinning machine, such as flow measurement distortion, flow overshoot, and component fatigue caused by oil flashing.

[0008] The technical solution of this application is as follows: In a first aspect, this application discloses a method for controlling the circulating flow rate of the oil circuit in a spinning machine head, comprising: Obtain pre-instructions for a specific operation; Based on pre-instructions, the system's operating status is determined before a specific operation actually occurs; When the system operating status meets the preset conditions, the pre-pressurization command of the fluid pump is generated and executed according to the pre-instruction; By executing a pre-pressurization command to control the speed increase of the fluid pump, a pressure margin is established in the fluid circulation system, and the pressure margin is used to suppress fluid flashing caused by specific operations. And after the pre-pressurization command is executed, restore the normal flow control of the fluid pump.

[0009] The above technical solution can proactively establish a pressure margin before a specific operation occurs, effectively suppressing the occurrence of oil flashing, thereby avoiding false alarms from the flow sensor and subsequent flow overshoot, and fundamentally solving the problems of system instability and component fatigue caused by sudden pressure drops in the existing technology.

[0010] Furthermore, after generating and executing the pre-pressurization command for the fluid pump based on the pre-instructions, the method further includes: Obtain the actual operating speed and actual output power of the fluid pump; Obtain the reference output power of the fluid pump at different operating speeds in a fluid medium; Based on the actual operating speed, obtain the corresponding expected reference output power from the reference output power; Calculate the power deficit rate between the actual output power and the expected reference output power; When the power loss rate continues to exceed the preset threshold or shows an upward trend, it is determined that there are microbubbles in the fluid medium, and a system deterioration warning is issued based on the judgment result.

[0011] The above technical solution enables real-time monitoring of the fluid pump's operating status. By analyzing the changing trend of the power loss rate, it can accurately determine whether microbubbles exist in the fluid medium, thus issuing an early warning in the early stages of system deterioration. This avoids masking deeper problems and improves the timeliness and accuracy of fault diagnosis.

[0012] Furthermore, when the power loss rate continuously exceeds a preset threshold or shows an upward trend, it is determined that microbubbles exist in the fluid medium, including: Get the current oil temperature; Based on the oil temperature, temperature compensation is applied to the corresponding reference output power to obtain the expected reference output power after compensation. Based on the compensated expected baseline output power and the actual output power, the power deficit rate is recalculated. Based on the recalculated power deficit rate, determine whether microbubbles exist in the fluid medium.

[0013] By introducing an oil temperature compensation mechanism through the above technical solution, the calculation of power loss rate becomes more accurate, the interference of oil viscosity-temperature characteristics on the judgment result is eliminated, and the accuracy and reliability of microbubble detection are further improved.

[0014] Furthermore, based on the oil temperature, temperature compensation is applied to the corresponding reference output power to obtain the compensated expected reference output power, including: When the fluid circulation system is in a stable operating state and there are no microbubbles in the fluid medium, the oil temperature, the actual operating speed of the fluid pump and the actual output power are obtained. Based on oil temperature, actual operating speed and actual output power, adjust the temperature compensation parameters of the reference output power; Based on the oil temperature and the adjusted temperature compensation parameters, the reference output power is temperature compensated to obtain the expected reference output power after compensation.

[0015] The above technical solution enables dynamic adjustment of temperature compensation parameters, allowing the compensation model to adapt to changes in the actual operating environment, ensuring the accuracy of temperature compensation under different operating conditions, and further improving the robustness of system diagnosis.

[0016] Furthermore, based on oil temperature, actual operating speed, and actual output power, the temperature compensation parameters for the reference output power are adjusted, including: Obtain the actual hydraulic output power and actual electrical input power of the fluid pump; Calculate the actual operating efficiency of the fluid pump based on the actual hydraulic output power and the actual electrical input power; The actual operating efficiency is compared with the preset efficiency threshold; When the actual operating efficiency does not meet the efficiency threshold, it is determined that the power change is caused by non-viscosity temperature factors, and the temperature compensation parameters are maintained. When the actual operating efficiency meets the efficiency threshold, it is determined that the power change is caused by the viscosity-temperature characteristics of the oil, and the temperature compensation parameters are adjusted according to the oil temperature, actual operating speed and actual output power.

[0017] By introducing the operating efficiency of the fluid pump as a criterion through the above technical solution, it is possible to distinguish whether the power change is caused by the viscosity-temperature characteristics of the oil or by other non-viscosity-temperature factors, thus avoiding misjudgment and making the adjustment of temperature compensation parameters more accurate and intelligent.

[0018] Furthermore, the method also includes: During the process of executing the pre-pressurization command to control the speed increase of the fluid pump, the pressure response data of the fluid circulation system is acquired in real time; Key response feature parameters are extracted from the pressure response data, including the pressure rise rate and the settling time. Compare the key response characteristic parameters with the preset response characteristic reference values; When the comparison results show that the key response characteristic parameters deviate from the response characteristic reference value, it is determined that the pressure margin of the fluid circulation system has not been effectively established, and the system warning prompt or fault response state is triggered.

[0019] The above technical solution enables real-time monitoring of the pre-pressurization effect and timely detection of insufficient pressure margin, thereby avoiding the risk of flash evaporation caused by poor pre-pressurization and improving the reliability and safety of the system.

[0020] Furthermore, after determining that the fluid circulation system has not effectively established a pressure margin, the method also includes: The boosting parameters of the pre-boosting command are automatically adjusted, including the acceleration rate of the fluid pump and the boosting duration. The adjusted pre-pressurization command is executed to perform dynamic compensation control of the fluid pump; During dynamic compensation control, the compensation response data of the fluid circulation system is acquired in real time, and the corrected key response characteristic parameters are extracted. The revised key response characteristic parameters are compared again with the response characteristic reference values; When the comparison results show that the corrected key response characteristic parameters meet the response characteristic reference value requirements, it is confirmed that an effective pressure margin has been established. When the comparison results show that the corrected key response characteristic parameters do not meet the response characteristic reference value requirements, the manual intervention or safe shutdown process is initiated.

[0021] The above technical solution enables dynamic adaptive adjustment of the pre-pressurization command, and can compensate for the fluid pump according to the actual response, ensuring the effective establishment of pressure margin and further improving the system's adaptability and fault response capability.

[0022] Furthermore, before executing the adjusted pre-pressurization command and performing dynamic compensation control on the fluid pump, the method also includes: Perform oil degassing operation to eliminate microbubbles in the fluid medium; After the oil degassing operation, an acoustic detection process is performed, in which an acoustic signal is emitted into the fluid medium and the return signal after propagation through the fluid medium is received. Based on the intensity change of the returned signal, degassing judgment feature values ​​are extracted; The degassing judgment characteristic value is compared with the preset degassing effect reference value; When the degassing judgment characteristic value meets the degassing effect reference value, it is confirmed that the microbubbles in the fluid medium have been fully removed; When the degassing judgment characteristic value does not meet the degassing effect reference value, extend the duration of the oil degassing operation and re-execute the acoustic detection process.

[0023] The above technical solution introduces oil degassing operation and acoustic detection, which can actively eliminate microbubbles in the fluid medium and quantitatively evaluate the degassing effect, thus solving the microbubble problem at its source and further improving the stability and reliability of the fluid circulation system.

[0024] Furthermore, before comparing the degassing judgment characteristic value with the preset degassing effect reference value, the method also includes: Record the degassing judgment feature values ​​and corresponding oil degassing operation parameters obtained in multiple acoustic detection processes; Based on the oil degassing operation parameters, statistical indicators reflecting the trend of degassing effect are extracted. The statistical indicators include the stable range of characteristic values ​​and the corresponding range of oil temperature change. Based on statistical indicators, the reference values ​​for degassing effect are dynamically revised to form updated reference values ​​for degassing effect; In the subsequent acoustic detection process, the degassing judgment characteristic value is compared with the updated degassing effect reference value.

[0025] The above technical solution can dynamically correct the degassing effect reference value based on historical data and statistical indicators, making the evaluation of the degassing effect more intelligent and accurate, adapting to changes that may occur during long-term system operation, and further optimizing the efficiency and effect of degassing operation.

[0026] Secondly, this application also discloses a spinning machine head oil circuit circulation flow control system, comprising: The pre-instruction acquisition module is used to acquire pre-instructions for specific operations; The running status determination module is used to determine the system running status based on pre-instructions, before a specific operation actually occurs; The pre-pressurization command generation module is used to generate and execute the pre-pressurization command of the fluid pump according to the pre-instruction when the system operating status meets the preset conditions; The pre-pressurization command execution module is used to control the fluid pump speed by executing pre-pressurization commands, establish a pressure margin in the fluid circulation system, and use the pressure margin to suppress fluid flashing caused by specific operations. The control module is used to restore the normal flow control of the fluid pump after the pre-pressurization command is executed.

[0027] The above technical solution provides a system carrier for implementing the above method, enabling the method to be actually deployed and run, thereby achieving effective control of the circulating flow of the oil circuit of the spinning machine head at the hardware level, and ensuring the stability and reliability of the system.

[0028] Beneficial effects

[0029] The method for controlling the circulating flow of the oil circuit in the spinning machine head disclosed in this application generates and executes a pre-pressurization command for the fluid pump in advance, based on pre-instructions and the system operating status, before a specific operation (such as doffing) actually occurs. This controls the speed increase of the fluid pump and establishes a pressure margin in the fluid circulation system. The pressure margin effectively suppresses fluid flashing caused by specific operations and avoids microbubble precipitation due to a sudden drop in local pressure below the saturated vapor pressure of the oil. Through proactive intervention and prevention, it solves the problems of oil flashing and flow overshoot at the source, avoiding fatigue damage and continuous leakage to key components such as pressure regulating valves caused by long-term accumulated periodic high-intensity impacts. This not only extends the service life of the equipment and reduces maintenance costs but also avoids increased energy consumption and accelerated oil degradation caused by increasing the oil pump's reference speed to compensate for leakage. This prevents deeper problems from being masked, significantly improving the stability and reliability of the spinning machine head oil circuit circulation system and reducing operating energy consumption. Attached Figure Description

[0030] Figure 1 A flowchart illustrating a method for controlling the circulating flow of oil circuit in a spinning machine head, as provided in this application.

[0031] Figure 2 A flowchart of a circulating flow control system for the oil circuit of a spinning machine head provided in this application.

[0032] In the diagram: 1. Pre-instruction acquisition module; 2. Running status judgment module; 3. Pre-boost instruction generation module; 4. Pre-boost instruction execution module; 5. Control module. Detailed Implementation

[0033] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of this application, and not all embodiments. The components of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0034] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0035] In modern textile industry, the oil circulation system inside the spinning frame lubricates and cools high-speed rotating components, ensuring stable and efficient machine operation. Flow control is crucial in this system. Traditional spinning frame oil circulation systems experience momentary hydraulic surges during periodic automated operations such as doffing, caused by the drastic speed changes in the main drive system. This leads to oil flashing. The generation of tiny air bubbles causes inaccurate flow sensor measurements, resulting in misjudgments by the control system and instructing the oil pump to run at high speed, causing flow overshoot. Existing systems use anomaly shielding rules to avoid false alarms, but this masks the internal overpressure circulation problem. Long-term accumulated impacts lead to fatigue and leakage in critical components, increasing energy consumption and accelerating oil degradation, making fault diagnosis difficult.

[0036] Reference Figure 1 In response, this application proposes a method for controlling the circulating flow rate of the oil circuit in the spinning machine head, comprising: S1000: Obtain pre-instructions for a specific operation; S2000: Based on pre-instructions, it determines the system's operating status before a specific operation actually occurs; S3000: When the system operating status meets the preset conditions, generate and execute the pre-pressurization command of the fluid pump according to the pre-instruction; S4000: Controls the fluid pump speed by executing a pre-pressurization command to establish a pressure margin in the fluid circulation system and uses the pressure margin to suppress fluid flashing caused by specific operations; S5000: And after the pre-pressurization command is executed, restore the normal flow control of the fluid pump.

[0037] The oil circulation system of the spinning locomotive head involved in this application typically includes core components such as a fluid pump, oil pipelines, various valves, sensors, and a control unit. The fluid pump provides the hydraulic power, ensuring the flow of oil throughout the circulation system; the oil pipelines serve as channels for oil transmission; valves regulate the flow direction and pressure of the oil; and sensors monitor various parameters in the system in real time, such as pressure, flow rate, and temperature. The control unit is the core of the entire system, responsible for receiving sensor data, executing control algorithms, and sending commands to the fluid pump and valves.

[0038] The "specific operation" mentioned in this application, such as the "doffing" operation of a spinning frame, refers to an automated operation in textile production where the main drive system needs to drastically change speed within a short period. This operation causes transient disturbances within the system, impacting the oil circulation system. "Pre-command" refers to a signal or instruction issued by the spinning frame's main control system before the specific operation actually occurs, such as a "doffing start signal." "Fluid pump" typically refers to an oil pump, whose function is to transport oil from the oil tank to components requiring lubrication and cooling. "Pre-pressurization command" refers to an instruction issued by the control system to the fluid pump before the specific operation occurs, instructing it to increase its speed for a short period to increase system pressure. "Pressure margin" refers to an additional pressure reserve established above the normal operating system pressure. Its purpose is to provide sufficient compensation when the system pressure drops instantaneously, preventing the pressure from falling below the saturated vapor pressure of the oil, thereby suppressing the occurrence of "fluid flashing." "Flash evaporation" refers to the phenomenon in a fluid circulation system where, when the local pressure suddenly drops below the saturated vapor pressure of the fluid medium, dissolved gases or vapors in the fluid rapidly precipitate out, forming a large number of tiny bubbles.

[0039] This application provides a method for controlling the oil circuit circulation flow of a spinning frame head, the main steps and implementation of which can be described in detail as follows: First, a pre-instruction for a specific operation is obtained. This pre-instruction can be sent directly from the main control system of the spinning frame to the control unit of the oil circuit circulation system before the start of a specific operation (e.g., doffing), via a hardwired connection or a communication protocol such as Industrial Ethernet. For example, when the spinning frame enters the doffing preparation stage, the main control system will send a digital signal or data packet in advance, indicating that "the doffing operation is about to begin." In other embodiments, the pre-instruction can also be obtained through predictive analysis of the operating status of the spinning frame's main drive system. For example, by monitoring the speed, current, or torque change trends of the main drive motor, when a drastic speed change pattern is detected, the system can internally generate a pre-instruction.

[0040] Upon receiving the pre-command, the control unit immediately assesses the current operating status of the oil circulation system. For example, system operating status may include oil temperature, the current speed of the fluid pump, system main pressure, and flow sensor readings. One approach is to determine the system operating status by reading real-time data from various sensors (such as temperature, pressure, and flow sensors) and comparing this data with preset normal operating parameter ranges. For example, if the oil temperature is too high or too low, or the system pressure is abnormal, the preset conditions may not be met. Another approach is to determine the system operating status based on historical data and trend analysis. For example, by analyzing the changing trends of system parameters over a period of time, it can be determined whether the current system is in a stable state or whether there are any potential anomalies.

[0041] The preset conditions aim to ensure that the pre-pressurization operation is carried out safely and effectively. For example, preset conditions may include system pressure within the normal range, oil temperature within the allowable range, and no fault indication from the fluid pump. As one implementation, when the system operating status meets the preset conditions, the control unit searches for the corresponding pre-pressurization command parameters from a preset parameter table based on the type of pre-instruction (e.g., "unwinding"), such as the duration of pre-pressurization and the target speed increase. Subsequently, the control unit converts these parameters into specific control signals and sends them to the fluid pump driver, instructing the fluid pump to begin accelerating. Alternatively, the generation of the pre-pressurization command can be dynamic. For example, based on real-time parameters such as the current system load and oil viscosity, the optimal pre-pressurization parameters are calculated using a preset algorithm model, and then the command is executed. Upon receiving the pre-pressurization command, the fluid pump rapidly increases its speed, thereby quickly increasing the overall pressure in the oil circulation system. As another implementation, the fluid pump's speed increase can be achieved by adjusting the power supply frequency or voltage of its drive motor, allowing it to reach a level higher than normal operating speed within a short period. As a result, the oil pressure in the system will increase, forming a "pressure margin" higher than the normal operating pressure. When a specific operation (such as doffing) causes a sudden pressure drop, this pre-established pressure margin can effectively compensate for the pressure drop, ensuring that the local pressure remains above the saturated vapor pressure of the oil, thereby fundamentally suppressing the precipitation of microbubbles and preventing fluid flashing. The suppression of flashing, in turn, ensures the measurement accuracy of the flow sensor and avoids pump overshoot caused by erroneous flow signals in traditional technologies. The pump speed can also be increased by controlling the opening of the bypass valve or pressure relief valve, maintaining the main oil flow while rapidly increasing the system pressure through local flow restriction, thus establishing the pressure margin.

[0042] Once the pre-pressurization command's set duration ends, or the transient disturbance phase of a specific operation has passed, the fluid pump needs to return to its normal flow control mode to avoid unnecessary energy consumption and system overpressure. One implementation method is to send a command from the control unit to the fluid pump driver, causing its speed to gradually or immediately drop back to a reference speed set based on the actual flow demand. For example, after the impact phase of a doffing operation, the system will depressurize, and the fluid pump's speed and output pressure will return to the normal operating point regulated by the flow sensor feedback and PID controller. Another implementation method is to restore normal flow control based on real-time monitoring of system pressure or flow. For example, when the system pressure or flow returns to a stable state and remains so for a period of time, the pre-pressurization is automatically depressurized, allowing the fluid pump to return to its normal flow regulation mode.

[0043] The oil circuit circulation flow control method for the spinning frame head proposed in this application demonstrates significant technological progress and innovation in solving oil circuit system problems caused by specific operations of the spinning frame, compared to existing technologies. The main problem with traditional spinning frame head oil circuit circulation systems when facing periodic automated operations such as "doffing" lies in their passive response mechanism. When instantaneous hydraulic "surge" causes oil flash evaporation, the flow sensor outputs an incorrect flow signal, which in turn triggers the control system to instruct the oil pump to run at high speed, causing flow overshoot. To avoid frequent false alarms, existing systems typically employ "abnormality shielding rules," treating sudden drops and recoveries in flow during specific operations as "expected transient disturbances" and not triggering alarms. However, this approach merely masks the problem and does not fundamentally solve the overpressure circulation and component fatigue issues within the oil circuit system. Long-term accumulated impacts lead to continuous leakage in key components (such as pressure regulating valves), forcing the oil pump to increase its base speed to compensate for the leakage, ultimately resulting in increased energy consumption, accelerated oil degradation, and difficulties in fault diagnosis. The core innovation of this application lies in its forward-looking pre-pressurization control strategy. Unlike existing technologies that passively "ignore" problems by masking alarms after flash evaporation, this application achieves early detection of impending transient disturbances by acquiring pre-instructions for specific operations. Based on this, the system determines its operating status before the specific operation actually occurs, ensuring the safety and effectiveness of the pre-pressurization operation.

[0044] In another embodiment of this application, it is further proposed that, after step S3000, the following method is also included: S3100: Obtains the actual operating speed and actual output power of the fluid pump; S3200: Obtain the reference output power of the fluid pump at different operating speeds in a fluid medium; S3300: Obtain the corresponding expected reference output power from the reference output power based on the actual operating speed; S3400: Calculates the power deficit rate between the actual output power and the expected reference output power; S3500: When the power loss rate continues to exceed the preset threshold or shows an upward trend, it determines that there are microbubbles in the fluid medium and issues a system deterioration warning based on the judgment result.

[0045] Specifically, during or after the fluid pump executes the pre-pressurization command to control the pump speed increase, the system acquires the actual operating speed and actual output power of the fluid pump in real time. The actual operating speed can be measured by a speed sensor installed on the fluid pump shaft, while the actual output power can refer to the hydraulic output power of the fluid pump (calculated by measuring flow rate and pressure) or its input electrical power (calculated by measuring voltage and current).

[0046] The reference output power of a fluid pump at different operating speeds in a fluid medium refers to the standard output power that the pump should have at a specific speed under ideal or normal operating conditions. This reference data can be obtained through prior experimental calibration, manufacturer-provided datasheets, or analysis of historical operating data, and stored in the system's database or memory. For example, a speed-power comparison table or fitting curve can be established to look up the corresponding reference power value at different speeds. The system will search or interpolate the preset reference output power data based on the currently acquired actual operating speed of the fluid pump to obtain the expected reference output power corresponding to that actual operating speed. Therefore, by comparing the actual output power with the expected reference output power, the power deficit rate can be calculated. The power deficit rate can be understood as the percentage decrease in actual output power relative to the expected reference output power, and its calculation formula is: (Expected reference output power - Actual output power) / Expected reference output power * 100%. This indicator reflects the efficiency loss of the fluid pump under the current operating conditions.

[0047] When microbubbles are present in the fluid medium, their compressibility reduces the volumetric efficiency of the fluid pump, resulting in a lower actual output power than the expected baseline output power at the same rotational speed, thus increasing the power deficit rate. Therefore, when the power deficit rate consistently exceeds a preset threshold (e.g., 5% or 10%) or shows a significant upward trend, it can be determined that microbubbles may be present in the fluid medium. The preset threshold can be empirically set or determined experimentally based on the characteristics of the fluid pump, the type of fluid medium, and the system's performance requirements. Once microbubbles are detected, the system will immediately issue a system degradation warning, such as through audible and visual alarms, display prompts, or remote notifications, to remind operators or maintenance personnel to inspect and address the issue.

[0048] This application's solution calculates the power deficit rate by real-time monitoring of the fluid pump's actual operating speed and output power, comparing them with a preset benchmark output power. The presence of microbubbles in the fluid medium leads to a decrease in the fluid pump's volumetric efficiency, resulting in a reduction in actual output power and an abnormally high power deficit rate. By setting a reasonable threshold and monitoring the trend of power deficit rate changes, the system can promptly and accurately identify the presence of microbubbles in the fluid medium, thus issuing an early warning before the problem worsens.

[0049] In some preferred embodiments: Suppose that before a specific operation (e.g., high-speed start or reversal) is performed, the fluid pump in the spinning machine's head oil circulation system is instructed to pre-pressurize. After the pre-pressurization instruction is executed, the system continuously acquires the actual operating speed and actual output power of the fluid pump. For example, when the fluid pump is running at 1500 RPM, its expected baseline output power is 10kW. If the system detects that the actual output power is only 8.5kW, the calculated power loss rate is (10 - 8.5) / 10 * 100% = 15%. If the preset threshold is 10%, and this 15% loss rate persists for a period of time, or if subsequent monitoring reveals that the loss rate has increased from 15% to 18%, the system will immediately determine that microbubbles exist in the fluid medium and trigger an audible and visual alarm, while simultaneously displaying the message "Oil microbubble abnormality, please check" on the control interface. This allows operators to intervene promptly, such as performing oil degassing or replacing the oil, thereby avoiding system performance degradation or potential malfunctions caused by microbubbles.

[0050] In another embodiment of this application, a sub-step of S3500 is further proposed: when the power loss rate continuously exceeds a preset threshold or shows an upward trend, it is determined that microbubbles exist in the fluid medium, including: S3510: Obtain the current oil temperature; S3520: Based on the oil temperature, temperature compensation is applied to the corresponding reference output power to obtain the compensated expected reference output power; S3530: Recalculate the power deficit rate based on the compensated expected baseline output power and the actual output power; S3540: Determine whether microbubbles exist in the fluid medium based on the recalculated power deficit rate.

[0051] Specifically, obtaining the current oil temperature refers to real-time monitoring and acquisition of the current temperature value of the fluid medium through a temperature sensor installed in the fluid circulation system. This temperature value is a key input parameter for subsequent temperature compensation. Based on the oil temperature, temperature compensation is applied to the corresponding reference output power to obtain the compensated expected reference output power. This can be understood as correcting the reference output power of the fluid pump at different operating speeds based on the viscosity-temperature characteristic curve of the fluid medium or a preset temperature compensation model. The purpose is to eliminate or reduce the impact of oil temperature changes on the fluid pump output power, so that the expected reference output power can more accurately reflect the ideal operating state of the fluid pump at the current oil temperature.

[0052] In practical applications, recalculating the power deficit rate based on the compensated expected baseline output power and the actual output power involves comparing the temperature-compensated expected baseline output power with the actual output power of the fluid pump and calculating the percentage difference between the two. This recalculated power deficit rate more accurately reflects the performance degradation of the fluid pump caused by non-temperature factors (such as microbubbles). Therefore, determining the presence of microbubbles in the fluid medium based on the recalculated power deficit rate means that when the recalculated power deficit rate continuously exceeds a preset threshold or shows an upward trend, the system can more accurately determine that microbubbles are indeed present in the fluid medium, thereby avoiding false alarms caused by temperature changes.

[0053] This application significantly improves the accuracy of microbubble detection in fluid media. By eliminating the interference of oil temperature changes on power deficit rate calculation, the system can more accurately identify the actual performance degradation caused by microbubbles, thereby effectively avoiding false alarms or missed alarms caused by temperature fluctuations. This makes the system's degradation early warning more reliable, helps to promptly detect and address potential problems in the fluid circulation system, extends equipment life, and reduces maintenance costs.

[0054] In some preferred embodiments, the following specific example illustrates the situation: Suppose that the fluid pump in the oil circulation system of a spinning machine has a base output power P_base at a specific speed under standard operating temperature (e.g., 40°C). During actual operation, the system monitors that the oil temperature rises to 60°C. If, using the traditional method, the actual output power P_actual of the fluid pump at 60°C is directly compared with P_base, it might be found that P_actual is slightly lower than P_base, leading to the calculation of a power deficit rate and potentially misjudging the presence of microbubbles.

[0055] According to the scheme of this application, when the oil temperature is 60°C, the system will first perform temperature compensation on P_base based on a preset temperature compensation model (e.g., a power-temperature-speed relationship curve established through experimental data) to obtain the expected reference output power P_compensated_base of the fluid pump at 60°C. For example, if the model shows that the expected power at the same speed should be 98% of P_base at 60°C, then P_compensated_base = P_base * 0.98.

[0056] Subsequently, the system compares the actual output power P_actual of the fluid pump at 60°C with the compensated expected baseline output power P_compensated_base, and recalculates the power deficit rate. If the recalculated power deficit rate still consistently exceeds the preset threshold or shows an upward trend, the system can more confidently determine the presence of microbubbles in the fluid medium. Conversely, if the recalculated power deficit rate is within the normal range, it indicates that the power change is mainly a normal phenomenon caused by temperature, thus avoiding unnecessary system warnings and improving diagnostic accuracy.

[0057] In another embodiment of this application, S3520 further includes: S3521: When the fluid circulation system is in a stable operating state and there are no microbubbles in the fluid medium, obtain the oil temperature, the actual operating speed of the fluid pump and the actual output power; S3522: Adjusts the temperature compensation parameter of the reference output power based on oil temperature, actual operating speed and actual output power; S3523: Based on the oil temperature and the adjusted temperature compensation parameters, the reference output power is temperature compensated to obtain the expected reference output power after compensation.

[0058] Specifically, "when the fluid circulation system is in a stable operating state and there are no microbubbles in the fluid medium" means that within a preset time period, the system's main operating parameters, such as the fluid pump speed, system pressure, and oil temperature, remain within a set stable range, and the absence of microbubbles in the fluid medium is confirmed by other reliable means (e.g., ensuring no bubbles during initial filling, or confirming the absence of bubbles after degassing). Under this stable and bubble-free baseline condition, the system will acquire the current oil temperature, the actual operating speed of the fluid pump, and the corresponding actual output power in real time. These data are considered to represent the true performance of the fluid pump under ideal conditions at a specific temperature and speed.

[0059] "Adjusting the temperature compensation parameters for the reference output power" refers to optimizing or correcting the parameters in the model or lookup table used for temperature compensation of the reference output power based on oil temperature, actual operating speed, and actual output power data obtained under stable, bubble-free conditions. For example, these parameters can be coefficients of a mathematical model (such as an exponential function or polynomial) describing the change in oil viscosity with temperature, or compensation factors corresponding to a preset temperature range. The adjustment process can be achieved through regression analysis, least squares method, or other optimization algorithms to ensure that the compensated expected reference output power more accurately reflects the impact of oil viscosity-temperature characteristics on power during actual operation.

[0060] Therefore, after obtaining the adjusted temperature compensation parameters, the system will use these updated parameters to accurately compensate the reference output power based on the current oil temperature. The purpose is to ensure that the compensated expected reference output power obtained at different oil temperatures accurately represents the theoretical output of the fluid pump under microbubble-free conditions, thus providing a more accurate benchmark for subsequent power deficit rate calculations.

[0061] In some preferred embodiments, the following specific example illustrates the situation: Assuming that the oil circulation system of the spinning machine head is put into operation for the first time or after a major overhaul, the system is set to enter a "baseline learning mode". In this mode, the system ensures that the fluid circulation system is in a stable operating state, for example, the fluid pump runs at a constant speed of 1500 RPM, and the absence of microbubbles in the fluid medium is confirmed through pre-degassing operations or initial filling. During the 30 minutes of this mode, the system acquires the oil temperature, the actual operating speed of the fluid pump (maintained at 1500 RPM), and the actual output power every 10 seconds.

[0062] After collecting this data, the system uses these data points to fit a polynomial function using the least squares method, for example, P_compensated = P_base * (1 + a*T + b*T^2), where P_compensated is the expected baseline output power after compensation, P_base is the baseline output power without compensation, T is the oil temperature, and a and b are the temperature compensation parameters that need to be adjusted. Through fitting, the parameters a and b that best reflect the viscosity-temperature characteristics of the oil under the current conditions can be obtained. These parameters are then stored and used for subsequent power loss rate calculations. In addition, to cope with changes in viscosity-temperature characteristics caused by oil aging or replacement, the system can be set to automatically or manually trigger a "parameter recalibration" process every 500 hours of operation or after each oil change, repeating the above baseline learning mode to obtain the latest oil temperature, actual operating speed, and actual output power data, and readjusting the temperature compensation parameters. For example, if the parameters a' and b' fitted by the new data are found to be significantly different from the previous a and b, these parameters are updated. In this way, the system can maintain the accuracy of microbubble detection even if the viscosity-temperature characteristics of the oil change.

[0063] In another embodiment of this application, S3522 further includes: A1: Obtain the actual hydraulic output power and actual electrical input power of the fluid pump; A2: Calculate the actual operating efficiency of the fluid pump based on the actual hydraulic output power and the actual input electrical power; A3: Compare the actual operating efficiency with the preset efficiency threshold; A4: When the actual operating efficiency does not meet the efficiency threshold, it is determined that the power change is caused by non-viscosity temperature factors, and the temperature compensation parameters are maintained. A5: When the actual operating efficiency meets the efficiency threshold, it is determined that the power change is caused by the viscosity-temperature characteristics of the oil, and the temperature compensation parameters are adjusted according to the oil temperature, actual operating speed and actual output power.

[0064] Specifically, obtaining the actual hydraulic output power of a fluid pump refers to calculating the rate at which it performs work on the fluid medium by measuring the pump's output pressure and flow rate. Actual input electrical power refers to the rate at which the fluid pump's drive motor draws electrical energy from the power source, typically measured using current and voltage sensors. The actual operating efficiency of a fluid pump can be understood as the ratio of its actual hydraulic output power to its actual input electrical power; this ratio reflects the efficiency with which the fluid pump converts electrical energy into hydraulic energy. A preset efficiency threshold is a reference value set based on the fluid pump's design parameters, factory standards, or historical operating data, used to determine whether the fluid pump is operating within its normal, high-efficiency range.

[0065] When the calculated actual operating efficiency is lower than the preset efficiency threshold, it indicates that the fluid pump's energy conversion efficiency is low. This is usually caused by non-oil viscosity-temperature factors such as mechanical wear, internal leakage, bearing failure, or electrical system abnormalities. In this case, the power change is not due to changes in oil viscosity with temperature. Therefore, to avoid introducing erroneous compensation, the temperature compensation parameter should remain unchanged. In practical applications, maintaining the temperature compensation parameter can be understood as not performing or canceling the current parameter adjustment operation to maintain the system in the currently known stable compensation state. When the actual operating efficiency meets or exceeds the preset efficiency threshold, it indicates that the fluid pump is in a normal energy conversion state. At this time, the observed power change is more likely caused by changes in oil viscosity with temperature. For example, an increase in oil temperature will lead to a decrease in viscosity, thereby reducing the output power of the fluid pump at the same speed, but its conversion efficiency may still remain at a normal level. In this case, the system will adjust the temperature compensation parameter of the reference output power according to the current oil temperature, the actual operating speed of the fluid pump, and the actual output power to more accurately reflect the impact of oil viscosity-temperature characteristics on system performance.

[0066] In some preferred embodiments, the following specific example illustrates the situation: Assuming that in the oil circulation system of the spinning machine head, the fluid pump is in stable operation, the system continuously acquires the oil temperature, the actual operating speed of the fluid pump, and the actual output power.

[0067] Specifically, the system first obtains the actual hydraulic output power and actual electrical input power of the fluid pump. For example, the hydraulic output power is obtained through pressure sensors and flow sensors installed at the fluid pump outlet, and the input electrical power is obtained through current transformers and voltage transformers.

[0068] The system then calculates the actual operating efficiency of the fluid pump based on this data. For example, if the actual hydraulic output power is 5kW and the actual input electrical power is 6kW, then the actual operating efficiency is 5 / 6 ≈ 83.3%.

[0069] Next, the system compares the actual operating efficiency with a preset efficiency threshold. Let's assume the preset efficiency threshold is 80%.

[0070] Scenario 1: If the calculated actual operating efficiency is 75% (below the 80% threshold), the system will determine that the current power change may be caused by non-viscosity-temperature factors, such as internal wear of the fluid pump leading to efficiency reduction. In this case, the system will maintain the current temperature compensation parameter unchanged and will not make any adjustments to avoid incorrect compensation due to pump failure.

[0071] Scenario 2: If the calculated actual operating efficiency is 85% (above the 80% threshold), the system will determine that the current power change is mainly caused by the viscosity-temperature characteristics of the oil. For example, an increase in oil temperature leads to a decrease in viscosity, causing a slight decrease in the pump's output power, but its conversion efficiency remains within the normal range. In this case, the system will precisely adjust the temperature compensation parameters of the baseline output power based on the current oil temperature, the actual operating speed of the fluid pump, and the actual output power to adapt to the impact of changes in oil viscosity.

[0072] In another embodiment of this application, a method for controlling the circulating flow of oil circuit in a spinning machine head is further proposed, which includes: S9000: During the process of executing the pre-pressurization command to control the speed increase of the fluid pump, the pressure response data of the fluid circulation system is acquired in real time; S10000: Extract key response characteristic parameters from pressure response data. Key response characteristic parameters include pressure rise rate and settling time delay. S11000: Compare key response characteristic parameters with preset response characteristic reference values; S12000: When the comparison results show that the key response characteristic parameters deviate from the response characteristic reference value, it is determined that the pressure margin of the fluid circulation system has not been effectively established, and the system warning prompt or fault response state is triggered.

[0073] Specifically, during the process of executing the pre-pressurization command to control the fluid pump speed-up, it is necessary to acquire pressure response data of the fluid circulation system in real time. This can typically be achieved by installing high-precision pressure sensors at key locations in the fluid circulation system (such as the fluid pump outlet, key actuator inlets, etc.). These sensors can continuously monitor and output pressure signals, forming time-series pressure response data.

[0074] Key response characteristic parameters extracted from pressure response data include pressure rise rate and settling-off time. Pressure rise rate refers to the speed at which the pressure in a fluid circulation system rises from its initial value to the target value or a specific pressure level during pre-pressurization, reflecting the dynamic performance of the system in establishing pressure. Settling-off time refers to the time required for the pressure to reach and remain within the target pressure margin range, reflecting the timeliness and stability of the system response. These parameters can be obtained through mathematical processing and analysis of real-time acquired pressure data (e.g., calculating the pressure change rate through differential calculations, and determining the settling-off time through threshold judgment and timestamp recording).

[0075] In practical applications, key response characteristic parameters are compared with preset response characteristic reference values. These preset reference values ​​are ideal pressure response curves or parameter ranges determined based on extensive experiments, simulations, or historical data analysis conducted under normal and healthy system conditions. For example, an ideal pressure rise rate range and a maximum permissible settling-off time can be set. The comparison process can be a simple numerical comparison or a more complex pattern recognition or trend analysis.

[0076] When the comparison results indicate that key response characteristic parameters deviate from the response characteristic reference value—for example, the pressure rise rate is too slow, the stabilization delay is too long, or the pressure fluctuation exceeds the expected range—it is determined that the fluid circulation system has not effectively established a pressure margin. Consequently, the system will trigger an early warning, such as notifying operators through audible and visual alarms or displaying warning messages on the interface, or directly enter a fault response state, such as automatically adjusting pump control parameters, starting a backup pump, or executing a safety shutdown procedure to prevent potential equipment damage or production accidents.

[0077] This application's solution effectively solves the problem of unverifiable pressure margin establishment by introducing a real-time monitoring and feedback mechanism during the fluid pump pre-pressurization process. Specifically, when the fluid pump begins to accelerate to establish the pressure margin, the system no longer relies solely on command execution but dynamically evaluates key parameters such as pressure rise rate and stabilization delay by acquiring pressure response data in real time. Because these key response characteristic parameters directly reflect the actual effect of pressure margin establishment and system dynamic performance, any deviation from the preset ideal reference value can promptly and accurately determine if the pressure margin has not been effectively established. This real-time monitoring and comparison mechanism enables the system to proactively identify potential anomalies, such as increased compressibility due to air bubbles in the fluid medium, increased resistance due to pipeline blockage, or decreased fluid pump performance—all factors that can lead to abnormal pressure establishment. By promptly triggering warnings or entering fault response states, this solution avoids specific operations when the pressure margin is insufficient, thereby effectively suppressing fluid flashing and ensuring the stability and reliability of the spinning machine's oil circulation system.

[0078] In one specific implementation, a concrete example is given below: Suppose that before the spinning machine head performs a high-speed gear shift, it needs to establish a pressure margin of 0.5 MPa through a fluid pump pre-pressurization, and the pressure is required to rise to the target value and remain stable within 2 seconds. The system's preset response characteristic reference values ​​are: the pressure rise rate should be greater than 0.25 MPa / s, and the stabilization delay should be less than 1 second.

[0079] Upon receiving the pre-command for high-speed gear shift, the fluid pump begins to accelerate and pre-pressurize. During this process, pressure sensors installed at key points in the oil circuit collect pressure data in real time.

[0080] For example, during a pre-pressurization operation, the system detected that it took 3 seconds for the pressure to rise from 0.1 MPa to 0.5 MPa, and the calculated pressure rise rate was 0.4 MPa / s. However, after reaching 0.5 MPa, the pressure took another 1.5 seconds to stabilize. At this point, the system compares the actual pressure rise rate of 0.4 MPa / s with the reference value of 0.25 MPa / s and finds that it meets the requirements; however, when the actual stabilization delay of 1.5 seconds is compared with the reference value of 1 second, it is found that the 1.5 seconds exceeds the preset 1 second.

[0081] Based on the comparison results, the system determines that the key response characteristic parameter (stabilization delay) deviates from the preset response characteristic reference value, indicating that the fluid circulation system has failed to effectively establish the required pressure margin. Therefore, the system immediately triggers an audible and visual warning and displays a warning message on the operating interface: "Pressure margin establishment abnormal, please check the oil circuit system," while simultaneously recording this abnormal event. In more serious cases, the system may automatically enter a fault response state, such as pausing high-speed gear shifting and attempting to execute an oil circuit self-check procedure, or prompting the operator for manual intervention to prevent fluid flashing and equipment damage that may occur when operating under insufficient pressure margin. In this way, this solution can promptly detect and address potential problems during the pre-pressurization process, ensuring the system operates in optimal condition.

[0082] In another embodiment of this application, a sub-step of S12000 is further proposed: after determining that the pressure margin of the fluid circulation system has not been effectively established, it further includes: S12100: Automatically adjusts the boosting parameters of the pre-boosting command, including the pump speed-up rate and boosting duration; S12200: Executes the adjusted pre-pressurization command to perform dynamic compensation control of the fluid pump; S12300: During dynamic compensation control, the compensation response data of the fluid circulation system is acquired in real time, and the corrected key response characteristic parameters are extracted. S12400: Compare the corrected key response characteristic parameters with the response characteristic reference values ​​again; S12500: When the comparison results show that the corrected key response characteristic parameters meet the response characteristic reference value requirements, confirm the establishment of an effective pressure margin. S12600: When the comparison results show that the corrected key response characteristic parameters do not meet the response characteristic reference value requirements, the manual intervention or safe shutdown process is initiated.

[0083] Specifically, automatically adjusting the boosting parameters of the pre-boost command refers to the system intelligently adjusting the pump's acceleration rate and boosting duration based on the degree to which the pressure margin has not been effectively established and historical data. For example, if the pressure rise rate is significantly lower than expected, the system may instruct the pump to accelerate at a faster rate or extend its high-speed operation time to reach the target pressure in a shorter time or for a longer duration. Dynamic compensation control can be understood as a closed-loop feedback control, in which the system continuously monitors the response of the fluid circulation system and adjusts the pump's operating parameters in real time based on feedback information to ensure the effective establishment of the pressure margin. Compensation response data consists of pressure, flow rate, and other data collected in real time during the dynamic compensation control process, used to evaluate the compensation effect. Corrected key response characteristic parameters, such as the pressure rise rate and settling time delay, are extracted from these compensation response data and used to reassess whether the pressure margin has been effectively established. When the corrected key response characteristic parameters meet the response characteristic reference value requirements, it indicates that the system has successfully established the required pressure margin through dynamic compensation control and can continue to operate normally. Conversely, if the requirements still cannot be met after compensation control, the system will enter a manual intervention or safety shutdown process to avoid potential equipment damage or production accidents.

[0084] This application's solution addresses the problem of the system's inability to automatically correct when initial pre-pressurization fails to effectively establish a pressure margin by introducing an adaptive dynamic compensation control mechanism. Specifically, when an ineffective pressure margin is detected, the system no longer merely issues a warning but actively adjusts the pressurization parameters of the pre-pressurization command, such as increasing the fluid pump's acceleration rate or extending the pressurization duration. This adjustment is based on real-time feedback, continuously monitoring compensation response data and comparing it with reference values ​​to ensure the effectiveness of the adjustment. Thus, the system can dynamically seek the optimal pressurization strategy within a closed-loop control system, aiming to re-establish the required pressure margin without interrupting operation. This mechanism significantly improves the system's robustness and adaptability, reduces the risk of fluid flashing due to insufficient instantaneous pressure, and avoids unnecessary downtime.

[0085] In some preferred embodiments: Suppose that before the spinning machine head undergoes a high-speed start-up operation, the system executes a pre-pressurization command. However, during the process of controlling the fluid pump speed up under the pre-pressurization command, the system acquires real-time pressure response data of the fluid circulation system and extracts key response characteristic parameters, such as the pressure rise rate and stabilization delay, from the pressure response data. When the key response characteristic parameters are compared with preset response characteristic reference values, it is found that the pressure rise rate is lower than the preset response characteristic reference value, indicating that the pressure margin has not been effectively established. At this time, the system does not immediately stop but automatically triggers dynamic compensation control. Specifically, the control system automatically adjusts the pressurization parameters of the pre-pressurization command according to the degree of deviation, for example, increasing the speed up rate of the fluid pump by 10% and extending the pressurization duration by 0.5 seconds, and then re-executes the adjusted pre-pressurization command. During the new pressurization process, the system continues to acquire real-time compensation response data of the fluid circulation system and extracts the corrected key response characteristic parameters. If the corrected key response characteristic parameters (such as the new pressure rise rate and stabilization delay) now meet the response characteristic reference value requirements, it is confirmed that the pressure margin has been successfully established, and the system continues to operate normally. Conversely, if the requirements still cannot be met after multiple adjustments, the system will enter a manual intervention process according to preset strategies, prompting the operator to check, or, if necessary, safely shutting down the machine to prevent equipment damage.

[0086] Another embodiment of this application further proposes that, before S12200, it also includes: B1: Perform oil degassing to eliminate microbubbles in the fluid medium; B2: After the oil degassing operation, an acoustic detection process is performed to emit acoustic signals into the fluid medium and receive the return signals after propagation through the fluid medium. B3: Extract degassing judgment feature values ​​based on the intensity change of the returned signal; B8: Compare the degassing judgment characteristic value with the preset degassing effect reference value; B9: When the degassing judgment characteristic value meets the degassing effect reference value, it is confirmed that the microbubbles in the fluid medium have been fully removed; B10: When the degassing judgment characteristic value does not meet the degassing effect reference value, extend the duration of the oil degassing operation and re-execute the acoustic detection process.

[0087] Specifically, oil degassing refers to the process of removing dissolved gases or bubbles from a fluid medium using physical or chemical methods. For example, vacuum degassing, heating degassing, membrane separation degassing, or centrifugal degassing can be employed. The aim is to reduce the gas content in the fluid medium, particularly the concentration of microbubbles, to restore the fluid medium's inherent physical properties, such as compressibility, density, and sound velocity, thereby ensuring the accuracy and efficiency of subsequent pressure build-up and transmission processes.

[0088] The acoustic detection process can be understood as a method to detect the presence of microbubbles in a fluid medium by utilizing the differences in the propagation characteristics of sound waves in different media. Specifically, a sound wave signal of a specific frequency can be emitted into the fluid medium, and a receiver can be used to receive the return signal after it has propagated through the fluid medium. The presence of microbubbles will cause scattering, absorption, and attenuation of the sound waves, resulting in changes in the intensity, frequency, or phase of the return signal.

[0089] In practical applications, the degassing judgment characteristic value is specifically extracted based on the intensity change of the returned signal. For example, the attenuation rate or transmittance of the sound wave signal during propagation can be calculated. When the microbubble content in the fluid medium is high, the sound wave attenuation will increase significantly, and the returned signal intensity will decrease; conversely, when the microbubbles are effectively removed, the sound wave attenuation will decrease, and the returned signal intensity will recover to a level close to that of a bubble-free state. The purpose is to quantify the effect of the degassing operation and provide an objective basis for subsequent judgment.

[0090] Furthermore, the preset degassing effect reference value is a baseline value pre-set based on the acoustic wave propagation characteristics of the fluid medium in a state of no bubbles or extremely low microbubble content. By comparing the extracted degassing judgment feature value with this reference value, it can be determined whether the microbubbles in the current fluid medium have been sufficiently removed. When the degassing judgment feature value meets the reference value, it indicates that the fluid medium has reached an ideal state, and subsequent dynamic compensation control can be performed; otherwise, it is necessary to extend the degassing operation duration and re-detect until the requirements are met.

[0091] This application's solution effectively addresses the problem of inaccurate pressure margin establishment or dynamic compensation control failure caused by microbubbles in the fluid medium by introducing an oil degassing operation and an acoustic detection process before performing dynamic compensation control. Specifically, the oil degassing operation actively eliminates microbubbles in the fluid medium, restoring the fluid's compressibility to a normal level, thus ensuring more effective pressure establishment when the fluid pump accelerates. Subsequently, the acoustic detection process objectively evaluates the effectiveness of the degassing operation by monitoring the propagation characteristics of sound waves in the fluid medium. Only when the detection results indicate that microbubbles have been sufficiently removed does the system proceed with subsequent dynamic compensation control, ensuring that the compensation operation is performed in an optimized and stable fluid environment. Conversely, if microbubbles still exist, the degassing time is extended and re-detection is performed until the fluid medium meets the requirements. This avoids ineffective or inefficient compensation under poor fluid medium conditions, fundamentally improving the reliability of pressure margin establishment and the effectiveness of dynamic compensation control.

[0092] In some preferred embodiments, the following specific example illustrates the situation: In the oil circulation system of a spinning machine head, when the system determines that dynamic compensation control is needed, it first initiates an oil degassing operation. This operation is achieved through a vacuum pump integrated into the oil tank. This pump extracts air from the oil tank, reducing the pressure on the oil surface and causing dissolved gases and microbubbles to escape. After the degassing operation continues for a period of time, the system initiates an acoustic detection process. For example, an ultrasonic transmitter is placed on one side of the oil pipeline, emitting ultrasonic pulses into the fluid medium, while a receiver is placed on the other side of the pipeline, receiving the ultrasonic signals that penetrate the oil.

[0093] Initially, if there are many microbubbles in the oil, the received ultrasonic signal intensity may be low, for example, with an intensity attenuation rate of 50%. The system uses this 50% attenuation rate as the degassing judgment characteristic value. The preset degassing effect reference value may be set to an attenuation rate of less than 10% for sufficient degassing. Since 50% is much higher than 10%, the system judges that the microbubbles have not been sufficiently removed, and therefore automatically extends the duration of the vacuum degassing operation, for example, by another 10 minutes. After 10 minutes, the system executes the ultrasonic wave detection process again. At this time, the received ultrasonic signal intensity may be significantly improved, and the attenuation rate drops to 8%. The system compares the 8% attenuation rate with the 10% degassing effect reference value and finds that 8% meets the requirement of being less than 10%, thus confirming that the microbubbles in the fluid medium have been sufficiently removed. Only then does the system allow the execution of the adjusted pre-pressurization command to dynamically compensate and control the fluid pump, ensuring that the subsequent pressure margin establishment process takes place under optimal fluid conditions, thereby effectively suppressing fluid flashing.

[0094] Another embodiment of this application further proposes that, before B8, it also includes: B4: Record the degassing judgment feature values ​​and corresponding oil degassing operation parameters obtained in multiple acoustic detection processes; B5: Based on the oil degassing operation parameters, extract statistical indicators that reflect the trend of degassing effect. The statistical indicators include the stable range of characteristic values ​​and the corresponding range of oil temperature change. B6: Based on statistical indicators, the reference value for degassing effect is dynamically corrected to form an updated reference value for degassing effect; B7: In the subsequent acoustic detection process, the degassing judgment characteristic value will be compared with the updated degassing effect reference value.

[0095] Specifically, recording the degassing judgment feature values ​​and corresponding oil degassing operation parameters obtained from multiple acoustic detection processes refers to continuously collecting acoustic detection data after each oil degassing operation during system operation. The degassing judgment feature value can be a value extracted from the intensity change of the return signal after the acoustic signal propagates in the fluid medium; this value reflects the content of microbubbles in the fluid medium. The oil degassing operation parameters may include, but are not limited to, the duration of the degassing operation, the oil temperature during degassing, and the operating power of the fluid pump; these parameters are closely related to the degassing effect.

[0096] Based on the oil degassing operation parameters, statistical indicators reflecting the trend of degassing effect are extracted. These indicators include the stable range of characteristic values ​​and the corresponding range of oil temperature variation. This means the system analyzes recorded historical data to identify the regularity of degassing effect under different operating conditions. For example, when the oil temperature is within a specific range, the degassing judgment characteristic value usually stabilizes within a specific numerical range after microbubbles are fully removed; this range is the stable range of characteristic values. Through statistical analysis of a large amount of historical data, a mapping relationship between oil temperature and the stable range of characteristic values ​​can be established, thus forming statistical indicators reflecting the trend of degassing effect.

[0097] Therefore, based on statistical indicators, the degassing effect reference value is dynamically corrected to form an updated degassing effect reference value. This means that the preset degassing effect reference value is no longer fixed, but is adjusted in real time based on historical data collected during actual operation and statistical indicators obtained from analysis. For example, when the oil temperature changes, the system will dynamically adjust the degassing effect reference value according to the pre-established relationship between oil temperature and the stable range of characteristic values, making it more consistent with the actual degassing effect under the current operating conditions. In the subsequent acoustic detection process, the degassing judgment characteristic value is compared with the updated degassing effect reference value. This means that each time the degassing effect is judged, a single, fixed reference value is no longer used, but a dynamically corrected reference value that is more in line with the current actual operating conditions is used for comparison, thereby improving the accuracy of the judgment.

[0098] The proposed solution continuously records and analyzes historical degassing data, and dynamically adjusts the reference standard for degassing effect based on this data. Specifically, by collecting degassing judgment characteristic values ​​under different oil degassing operating parameters, the system can learn and establish the intrinsic relationship between degassing effect and operating conditions. For example, when the oil temperature increases, the viscosity of the fluid medium decreases, and the escape rate of microbubbles may increase, leading to a corresponding adjustment in the judgment standard for degassing effect. By extracting statistical indicators such as the stable range of characteristic values ​​and the corresponding range of oil temperature changes, the system can capture these dynamic change patterns and intelligently correct the reference value for degassing effect accordingly. This adaptive adjustment mechanism ensures that the judgment of degassing effect no longer depends on static preset values, but can respond in real time to changes in system operating conditions, thereby ensuring accurate evaluation of microbubble removal under various operating conditions.

[0099] In some preferred embodiments, the following specific example illustrates the situation: In the oil circulation system of a spinning machine head, initially set at an oil temperature of 50°C, the degassing judgment characteristic value (e.g., acoustic signal attenuation rate) should stabilize within the range of 0.8-0.9 after sufficient removal of microbubbles. With long-term system operation, the oil temperature may fluctuate, or the properties of the fluid medium may change slightly. The solution in this application continuously records the oil temperature and corresponding degassing judgment characteristic value after each degassing operation. For example, the system may record that at 60°C, the degassing judgment characteristic value stabilizes in the range of 0.75-0.85; and at 40°C, it stabilizes in the range of 0.85-0.95. Through statistical analysis of these historical data, the system can extract the mapping relationship between the "stable characteristic value range" and the "oil temperature variation range." When a subsequent degassing operation is performed, if the current oil temperature is 55°C, the system will dynamically calculate an updated degassing effect reference value based on the learned mapping relationship, for example, adjusting the reference range to 0.78-0.88. At this point, only when the actual acquired degassing judgment characteristic value falls within this dynamically adjusted range will it be confirmed that the microbubbles have been fully removed. If the characteristic value deviates from this range, it will trigger an extension of the degassing operation or a system warning. This dynamic correction mechanism makes the judgment of the degassing effect more accurate, effectively avoiding misjudgments caused by changes in the environment or operating conditions, thereby ensuring the optimal operating state of the fluid circulation system.

[0100] Reference Figure 2 This application proposes a spinning machine head oil circuit circulation flow control system, comprising: Pre-instruction acquisition module 1 is used to acquire pre-instructions for specific operations; The running status judgment module 2 is used to judge the system running status based on pre-instructions before a specific operation actually occurs; The pre-pressurization command generation module 3 is used to generate and execute the pre-pressurization command of the fluid pump according to the pre-instruction when the system operating status meets the preset conditions; The pre-pressurization command execution module 4 is used to control the fluid pump speed by executing the pre-pressurization command, establish a pressure margin in the fluid circulation system, and use the pressure margin to suppress fluid flashing caused by specific operations. Control module 5 is used to restore the normal flow control of the fluid pump after the pre-pressurization command is executed.

[0101] The oil circuit circulation flow control system for the spinning frame head proposed in this application works by proactively predicting and intervening to effectively address transient disturbances in the oil circuit system caused by specific operations of the spinning frame (such as doffing), thereby solving problems such as oil flashing, inaccurate flow measurement, and flow overshoot in traditional technologies. This application transforms the traditional passive response into proactive prevention through a logical chain of "prediction-assessment-proactive intervention-recovery," achieving precise control of the oil circuit circulation flow in the spinning frame head, effectively solving fluid flashing and its chain reactions caused by specific operations, and significantly improving the system's stability, reliability, and energy efficiency.

[0102] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method for controlling the circulating flow rate of the oil circuit in the head of a spinning machine, characterized in that, include: Obtain pre-instructions for a specific operation; Based on the pre-instructions, the system operating status is determined before the specific operation actually occurs; When the system operating state meets the preset conditions, a pre-pressurization command for the fluid pump is generated and executed according to the pre-instruction; By executing the pre-pressurization command, the fluid pump is controlled to speed up, a pressure margin is established in the fluid circulation system, and the pressure margin is used to suppress fluid flashing caused by the specific operation. And after the pre-pressurization command is executed, the normal flow control of the fluid pump is restored.

2. The method for controlling the circulating flow rate of the oil circuit at the head of a spinning machine according to claim 1, characterized in that, After generating and executing the pre-pressurization command of the fluid pump according to the pre-instruction, the process further includes: Obtain the actual operating speed and actual output power of the fluid pump; Obtain the reference output power of the fluid pump at different operating speeds in a fluid medium; Based on the actual operating speed, obtain the corresponding expected reference output power from the reference output power; Calculate the power deficit rate between the actual output power and the expected reference output power; When the power loss rate continues to exceed a preset threshold or shows an upward trend, it is determined that microbubbles exist in the fluid medium, and a system deterioration warning is issued based on the judgment result.

3. The method for controlling the circulating flow rate of the oil circuit at the head of a spinning machine according to claim 2, characterized in that, When the power deficit rate continuously exceeds a preset threshold or shows an upward trend, it is determined that microbubbles exist in the fluid medium, including: Get the current oil temperature; Based on the oil temperature, temperature compensation is applied to the corresponding reference output power to obtain the compensated expected reference output power. Based on the compensated expected baseline output power and the actual output power, the power loss rate is recalculated. Based on the recalculated power deficit rate, determine whether microbubbles exist in the fluid medium.

4. The method for controlling the circulating flow rate of the oil circuit at the head of a spinning machine according to claim 3, characterized in that, The step of performing temperature compensation on the corresponding reference output power based on the oil temperature to obtain the compensated expected reference output power includes: When the fluid circulation system is in a stable operating state and there are no microbubbles in the fluid medium, the oil temperature, the actual operating speed of the fluid pump and the actual output power are obtained. Based on the oil temperature, the actual operating speed, and the actual output power, adjust the temperature compensation parameter of the reference output power; Based on the oil temperature and the adjusted temperature compensation parameters, the reference output power is temperature compensated to obtain the expected reference output power after compensation.

5. The method for controlling the circulating flow rate of the oil circuit at the head of a spinning machine according to claim 4, characterized in that, The method of adjusting the temperature compensation parameter of the reference output power based on the oil temperature, the actual operating speed, and the actual output power includes: Obtain the actual hydraulic output power and actual electrical input power of the fluid pump; The actual operating efficiency of the fluid pump is calculated based on the actual hydraulic output power and the actual input electrical power. The actual operating efficiency is compared with a preset efficiency threshold; When the actual operating efficiency does not meet the efficiency threshold, it is determined that the power change is caused by non-viscosity-temperature factors, and the temperature compensation parameter is maintained. When the actual operating efficiency meets the efficiency threshold, it is determined that the power change is caused by the viscosity-temperature characteristics of the oil, and the temperature compensation parameter is adjusted according to the oil temperature, the actual operating speed and the actual output power.

6. The method for controlling the circulating flow rate of the oil circuit at the head of a spinning machine according to claim 1, characterized in that, Also includes: During the process of executing the pre-pressurization command to control the speed increase of the fluid pump, the pressure response data of the fluid circulation system is acquired in real time; Key response feature parameters are extracted from the pressure response data, including the pressure rise rate and the settling time delay. The key response feature parameters are compared with preset response characteristic reference values; When the comparison results show that the key response characteristic parameters deviate from the response characteristic reference value, it is determined that the fluid circulation system has not effectively established a pressure margin, and a system early warning prompt or fault response state is triggered.

7. The method for controlling the circulating flow rate of the oil circuit at the head of a spinning machine according to claim 6, characterized in that, After determining that the fluid circulation system has not effectively established a pressure margin, the method further includes: The boosting parameters of the pre-boosting command are automatically adjusted, including the acceleration rate of the fluid pump and the boosting duration. The adjusted pre-pressurization command is executed to perform dynamic compensation control on the fluid pump; During dynamic compensation control, the compensation response data of the fluid circulation system is acquired in real time, and the corrected key response characteristic parameters are extracted. The revised key response feature parameters are compared again with the response characteristic reference values; When the comparison results show that the corrected key response characteristic parameters meet the requirements of the response characteristic reference value, it is confirmed that an effective pressure margin has been established. When the comparison results show that the corrected key response characteristic parameters do not meet the reference value requirements of the response characteristics, a manual intervention or safe shutdown process is initiated.

8. The method for controlling the circulating flow rate of the oil circuit at the head of a spinning machine according to claim 7, characterized in that, Before executing the adjusted pre-pressurization command and performing dynamic compensation control on the fluid pump, the method further includes: Perform oil degassing operation to eliminate microbubbles in the fluid medium; After the oil degassing operation, an acoustic detection process is performed, in which an acoustic signal is emitted into the fluid medium and the return signal after propagation through the fluid medium is received. Based on the intensity change of the returned signal, degassing judgment feature values ​​are extracted; The degassing judgment feature value is compared with the preset degassing effect reference value; When the degassing judgment characteristic value meets the degassing effect reference value, it is confirmed that the microbubbles in the fluid medium have been fully removed; When the degassing judgment characteristic value does not meet the degassing effect reference value, the duration of the oil degassing operation is extended and the acoustic detection process is re-executed.

9. The method for controlling the circulating flow rate of the oil circuit at the head of a spinning machine according to claim 8, characterized in that, Before comparing the degassing judgment feature value with the preset degassing effect reference value, the method further includes: Record the degassing judgment feature values ​​and corresponding oil degassing operation parameters obtained in multiple acoustic detection processes; Based on the oil degassing operation parameters, statistical indicators reflecting the trend of degassing effect are extracted. The statistical indicators include the stable range of characteristic values ​​and the corresponding range of oil temperature change. Based on the statistical indicators, the degassing effect reference value is dynamically corrected to form an updated degassing effect reference value; In the subsequent acoustic wave detection process, the degassing judgment feature value is compared with the updated degassing effect reference value.

10. A circulating flow control system for the oil circuit of a spinning machine head, characterized in that, include: The pre-instruction acquisition module is used to acquire pre-instructions for specific operations; The running status determination module is used to determine the system running status based on the pre-instruction before the specific operation actually occurs; The pre-pressurization command generation module is used to generate and execute a pre-pressurization command for the fluid pump according to the pre-command when the system operating state meets the preset conditions. The pre-pressurization command execution module is used to control the speed of the fluid pump by executing the pre-pressurization command, establish a pressure margin in the fluid circulation system, and use the pressure margin to suppress fluid flashing caused by the specific operation; The control module is used to restore the normal flow control of the fluid pump after the pre-pressurization command is executed.

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