Lubricating oil control system of marine gas turbine and method thereof

Abstract

The invention discloses a lubricating oil control system and method for a marine gas turbine, and the system comprises a temperature monitoring module which is used for monitoring the lubricating oil temperature T and a preset temperature threshold T0 during the operation of the marine gas turbine; the temperature control module is used for starting a cooling system or a heating system of the lubricating oil according to the temperature difference delta T = T-T0; the flow adjusting module is used for correcting the preset flow Q0 based on the real-time power P to obtain the adjusted flow QA and adjusting the flow of the lubricating oil to QA according to the adjusted flow QA; the feedback control module is used for continuously monitoring whether the adjusted temperature of the lubricating oil is kept within a preset range or not and timely performing feedback control to ensure that the lubricating oil is kept stable; according to the lubricating oil control system and method for the marine gas turbine, the problems that in the prior art, lubricating oil temperature control is not stable, the response speed and sensitivity of a temperature control system are low, and the temperature of lubricating oil is difficult to keep within an ideal range in the rapidly-changing operation state of the gas turbine are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of ship engineering, and in particular to a lubricating oil control system and method for a ship gas turbine. Background Art

[0002] In modern ship power systems, gas turbines are a key component and are widely used in various types of ships to provide propulsion or electricity. However, in order to ensure that gas turbines can operate stably and efficiently under different operating conditions, lubricating oil control methods are particularly important. Generally, this lubricating oil control method accurately adjusts the oil supply temperature and pressure to maintain proper lubrication conditions, thereby improving engine efficiency, extending equipment life and reducing maintenance costs.

[0003] Existing methods for controlling lubricating oil in marine gas turbines mostly rely on traditional mechanical or electronic systems, which are responsible for monitoring and regulating the temperature and pressure of the lubricating oil. However, in actual operation, the problem of unstable lubricating oil temperature control is often faced. The response speed and sensitivity of the temperature control system are low, and it is difficult to keep the lubricating oil temperature within the ideal range under the rapidly changing operating conditions of the gas turbine. This problem is particularly prominent in extreme navigation environments. For example, when the temperature difference is large, the system may not be able to make adjustments in time, resulting in the lubricating oil temperature being too high or too low, thereby affecting the lubrication effect. If the lubricating oil temperature is too high, the oil film strength will decrease, aggravating component wear and oxidation, and may eventually cause mechanical failure; while if the temperature is too low, the viscosity of the lubricating oil may increase, the fluidity may deteriorate, and insufficient lubrication may occur, thereby affecting the performance and safety and stability of the gas turbine. Therefore, how to ensure the stability of the lubricating oil temperature under extreme conditions, especially to maintain good control accuracy and response speed in different navigation environments, is a major challenge facing existing technologies. Summary of the invention

[0004] The purpose of the present invention is to provide a lubricating oil control system and method for a marine gas turbine, so as to solve the problem that the prior art cannot ensure the stability of the lubricating oil temperature under extreme conditions, especially cannot maintain good control accuracy and response speed in different navigation environments.

[0005] To achieve the above object, the present invention provides the following technical solution: a lubricating oil control system for a marine gas turbine, the system comprising: A temperature monitoring module is used to monitor the lubricating oil temperature T and a predetermined temperature threshold T0 during operation of a marine gas turbine; A temperature control module connected to the temperature detection module is used to start the cooling system or heating system of the lubricating oil according to the temperature difference ΔT=T-T0; The flow regulating module connected to the temperature monitoring module and the temperature control module is used to correct the preset flow Q0 based on the real-time power P to obtain the adjusted flow Q A , and adjust the lubricating oil flow to Q accordingly A ; The feedback control module connected to the temperature control module and the flow regulation module is used to continuously monitor whether the adjusted lubricating oil temperature remains within a preset range, and to perform feedback control to ensure that the lubricating oil remains stable.

[0006] Preferably, the temperature monitoring module monitors the lubricating oil temperature T and the predetermined temperature threshold T0 when the marine gas turbine is running, including: A lubricating oil temperature sensor is provided to continuously measure the lubricating oil temperature; A standard temperature storage unit is provided to record and maintain a preset temperature threshold value T0; The signal conversion module converts the data measured by the temperature sensor into temperature data; The detection control unit reads the above temperature data regularly and compares it with T0; Determine whether the real-time lubricating oil temperature T deviates from the temperature threshold T A Exceeds the tolerance.

[0007] Preferably, the temperature monitoring module monitors the lubricating oil temperature T and the predetermined temperature threshold T0 during the operation of the marine gas turbine, further comprising: The temperature sensors are arranged in a matrix; The standard temperature storage unit has a preset temperature threshold T0, and the optimal operating temperature of the lubricating oil is calculated using the formula: T0=T opt ±ΔT allow Sure, Among them, T opt is the optimal operating temperature, ΔT allow is the allowable temperature deviation; The signal conversion module converts the electrical signal output by the temperature sensor into digital temperature data. This process is completed through an analog-to-digital converter. The converted data is expressed in binary form. The relationship between the output signal U of the temperature sensor and the temperature T is: T=K×U+T offset , Where K is the sensitivity of the sensor (unit: °C / mV), T offset is the zero point offset (unit: °C); The detection control unit periodically reads the temperature data T converted by the signal conversion module and compares it with the preset temperature threshold T0. For each sampling, the detection control unit calculates the temperature difference ΔT: ΔT=T-T0, And determine whether ΔT is within the allowable temperature range, that is: |ΔT|≤ΔT allow , Where, ΔT allow is the allowable temperature deviation.

[0008] Preferably, the temperature control module starts the cooling system or heating system of the lubricating oil according to the temperature difference ΔT=T-T0, including: Instruct the actuator of the lubricating oil cooling system or the lubricating oil heating system to start according to ΔT; Setting the start-up parameters of the temperature control switch to outside the predefined range; The actuator receives instructions from the control system and adjusts the input flow of the cold and hot media; Controls the cooler or heater of the lubricating oil system until the target temperature is reached.

[0009] Preferably, the temperature control module starts the cooling system or heating system of the lubricating oil according to the temperature difference ΔT=T-T0, further comprising: When the detection control unit finds that the temperature T deviates from T0 by more than the allowable deviation ΔT allow When T>T0+ΔT allow , the system will start the cooling system, on the contrary, when T <T0-ΔT allow , the system will start the heating system; In order to prevent the system from starting and stopping frequently, a dead zone range ΔT is set. dead ,Right now: If |ΔT|<ΔT dead , the cooling or heating system will not be started; According to the calculation result of ΔT, the temperature control module generates a corresponding control signal and sends it to the actuator of the cooling system or heating system; The actual output power P of the cooling system cool It is expressed as: P cool =K C ×Q C ×ΔT C , Among them, Q C is the flow rate of cooling medium, K C is the heat transfer coefficient of the cooling system, ΔT C is the temperature difference between the cooling medium entering and leaving the cooler; The heating system is an electric heater with an output power of P heat Then the relationship with the supply voltage V and the resistance R is: P heat =V² / R; Adjust the power of the cooling or heating system according to the size of ΔT. The output calculation formula of PID control is: , Among them, u(t) is the control output, K P , K i , K d They are the proportional, integral and differential coefficients of PID control respectively.

[0010] Preferably, the flow regulating module corrects the preset flow Q0 based on the real-time power P to obtain the adjusted flow Q A , and accordingly adjust the lubricating oil flow to QA including: Obtain the preset basic correction factor k based on the real-time power P of the marine gas turbine p ; Calculate the correlation coefficient k between the actual required power and the current lubricating oil flow p ; Using the formula Q A =Q0+(P×k p +k p ) to obtain the adjusted lubricating oil flow Q A ; During the flow correction process, ensure that the set upper and lower limits of oil volume are not exceeded; Wherein, the preset basic correction factor k is obtained based on the real-time power P of the marine gas turbine. p include: Query the basic oil pressure change table corresponding to different working areas to obtain k p ; If the marine gas turbine is operated in the low load area, k p Take the minimum value; If the marine gas turbine is in rated operation, a medium-sized k is used. p value; If the maximum output is used, a higher value of k is selected. p value; The correlation coefficient k between the power actually required and the current lubricating oil flow rate is calculated as follows: p include: Obtained by analyzing historical correlation data of lubricant consumption and load; If the marine gas turbine operates stably at a fixed load level for a long period of time, this value is minimum; If a marine gas turbine has a large span variable load condition, k p The value should be increased to increase the lubricant pumping speed; If the current lubricant consumption exceeds the historical average, then k p Take a larger positive value for compensation correction.

[0011] Preferably, during the correction process, it is necessary to avoid overloading the lubricating oil pump to ensure Q A conform to: Under the minimum flow limit condition, Q A ≥Q min , the minimum oil volume required for lubrication is not exceeded, where Qmin is the minimum flow limit; Also, to ensure the highest safety limit, Q A ≤Q max , limit the lubricating oil supply to prevent excessive pressure on the equipment, among which, Q max is the maximum flow limit value; Q A During the adjustment process, it is also necessary to ensure that ΔQ A ≤Q damp To smooth the change to reduce vibration, where ΔQ A is the change in lubricating oil flow rate, Q damp Limit value for buffering flow changes; Among them, when Q A When the calculated value falls outside the above three limits, additional logic judgment is required for the lubricating oil system flow adjustment action. Follow the steps below: If Q A min , then let the flow rate Q A Set as the target minimum value Q set =Q min ; If Q A >Q max , then the flow rate Q A The setting should be the maximum limit value Q set =Q max ; If ΔQ A >Q damp Q A Set to the original flow rate plus a smaller value ΔQ A =Q Aold + Q damp ; Finally, according to the setting Q set / ΔQ A To make adjustments, Q Aold is the lubricating oil flow rate before adjustment.

[0012] Preferably, the feedback control module corrects the preset flow rate Q0 based on the real-time power P to obtain the adjusted flow rate Q A , and adjust the lubricating oil flow to Q accordingly A include: ​Modular installation of temperature sensing equipment to continuously monitor the adjusted lubricating oil temperature value; Configure a feedback controller to calibrate and adjust the temperature T and the target range according to the preset temperature range; If the adjusted temperature exceeds the preset range, the operation of the heater or cooler is adjusted through closed-loop logic; Dynamic monitoring of the temperature trend chart integrated in the control system to provide early warning of out-of-range risks; Establish a feedback mechanism to automatically or semi-automatically intervene in the entire lubrication process when abnormal conditions are detected.

[0013] Preferably, the feedback control module continuously monitors whether the adjusted lubricating oil temperature is kept within a preset range, and performs feedback control in a timely manner to ensure that the lubricating oil remains stable, further comprising: The historical temperature data is plotted in real time to generate a temperature trend graph, which can show the real-time temperature changes and their relative to the target range [T min , T max ] deviation; When the predicted temperature trend indicates that T(t) may exceed [T min , T max ], the system will issue a warning signal and prepare to initiate corresponding regulatory measures. The prediction algorithm uses the formula: T pred (t+Δt)=T(t)+(dT(t) / dt)·Δt, Where dT(t) / dt is the time rate of change, Δt is the predicted time interval, and T pred (t+Δt) is the predicted temperature value at the future time t+Δt.

[0014] A lubricating oil control method for a marine gas turbine, using the lubricating oil control system for a marine gas turbine, the method comprising: S1: monitor the lubricating oil temperature T of the marine gas turbine during operation and compare it with a predetermined temperature threshold value T0; S2: According to the temperature difference ΔT=T-T0, the cooling system or heating system of the lubricating oil is selectively started to adjust the temperature of the lubricating oil; S3: Based on the real-time power P, the preset flow rate Q0 is corrected to obtain the adjusted flow rate Q A , and adjust the lubricating oil flow to Q accordingly A ; S4: Continuously monitor whether the adjusted lubricating oil temperature T remains within a preset range, and perform feedback control based on the monitoring results to ensure that the lubricating oil temperature is stable within a desired range.

[0015] It can be seen from the above technical solution that the present invention has the following beneficial effects: The lubricating oil control system and method of the marine gas turbine monitor the lubricating oil temperature T and the predetermined temperature threshold T0 when the marine gas turbine is running through a temperature monitoring module; the temperature control module starts the cooling system or heating system of the lubricating oil according to the temperature difference ΔT=T-T0; the flow regulating module corrects the preset flow Q0 based on the real-time power P to obtain the adjusted flow QA, and adjusts the lubricating oil flow to QA accordingly; the feedback control module continuously monitors whether the adjusted lubricating oil temperature is kept within the preset range, and timely makes feedback control to ensure that the lubricating oil remains stable, improves the accuracy and response speed of temperature control, monitors the operating state of the gas turbine in real time, and dynamically adjusts the working conditions of the lubricating oil. These improvements improve the adaptability of the system, so that it can ensure the stable operation of the gas turbine under various complex working conditions, thereby improving its overall performance and safety, and solve the problem of unstable lubricating oil temperature control faced by the prior art, the low response speed and sensitivity of the temperature control system, and the problem that it is difficult to keep the lubricating oil temperature within an ideal range under the rapidly changing operating state of the gas turbine. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a schematic diagram of the connection of the system modules of the present invention; Figure 2 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] like Figure 1 As shown, a lubricating oil control system for a marine gas turbine, the system comprising: The temperature monitoring module monitors the lubricating oil temperature T and the preset ideal temperature threshold T0 of the marine gas turbine during operation. The technical means used here usually involve a series of advanced temperature sensors. Assuming that a specific marine gas turbine is working in a stable state, the ideal lubrication temperature is set to 50℃ as the preset value T0, and the actual lubricating oil temperature T measured by the current sensor is 45℃. By monitoring the temperature, the system can immediately know the actual temperature rise of the lubricating oil and make further processing decisions.

[0019] The temperature control module connected to the temperature detection module starts or stops the relevant devices to adjust the lubricating oil temperature to the target value according to the difference (ΔT) between the two temperatures, which is equal to the numerical deviation between the real-time measured lubricating temperature and the target temperature. Take the above example as an example: the current temperature difference ΔT is calculated to be equal to the actual 45°C minus the preset target value 50°C, which is a difference of -5. This difference is negative, which means that the lubricating oil needs to be heated to the ideal lubricating oil temperature of 50°C. The control system will therefore start the heater and adjust the working time of the heater to avoid the lubricating oil temperature from being too high and exceeding the safety standard. When the lubricating oil temperature is detected to be lower than the ideal target value, the automatic operation of the heating system becomes very necessary, which can effectively increase the temperature and keep it stable within a reasonable working range.

[0020] The flow regulation module connected to the temperature monitoring module and the temperature control module corrects the previously set fixed lubricating oil flow rate Q0 based on the output power of the engine, that is, the actual output power (P) in operation, and adjusts the amount of lubricating oil flowing according to the specific correction result to achieve the purpose of dynamic stabilization control. In the above scenario, assuming that the current power is 4 megawatts (P) and based on the previous empirical formula, the correction value Q is calculated A , the correction value Q A It will be used to adjust the amount of lubricating oil entering the system to achieve the best efficiency. For example, if the output power is 70% of the maximum power, then the originally planned Q0 value may need to be reduced by 10% to Q A = 0.9×Q0 to reduce the flow rate, making lubrication more accurate and efficient and reducing unnecessary losses. In this way, all parts of the machine can be fully protected and lubricated without increasing energy consumption, while reducing unnecessary wear and damage to improve its durability and service life.

[0021] The feedback control module connected to the temperature control module and the flow control module involves continuous monitoring and regulation of the temperature change trend in the system after adjustment, and takes necessary measures according to the actual situation to ensure that the lubricating oil remains stable within the preset temperature range to avoid any sudden events causing damage. For example, in the above case, when the temperature of the lubricating liquid after the above two steps of correction and adjustment has gradually approached the target expected temperature but has not yet reached it completely (such as about 48-49°C), the heat pump will continue to be used to maintain the heat supply to allow the temperature to continue to rise; if an unexpected situation occurs at this time, such as abnormal shutdown of the equipment, the heating program will be suspended in time to avoid more serious accidents or damage caused by the lubricating oil temperature exceeding the normal operating limit.

[0022] In summary, the method mentioned above is a comprehensive control system design idea, which is used to accurately control the lubricating oil temperature and adapt it to different operating conditions, so as to ensure that the ship power equipment can maintain stable and reliable performance under various environmental conditions and effectively avoid potential safety hazards.

[0023] The temperature monitoring module monitors the lubricating oil temperature T and the predetermined temperature threshold T0 when the marine gas turbine is running, including: A lubricating oil temperature sensor is provided to continuously measure the lubricating oil temperature; A standard temperature storage unit is provided to record and maintain a preset temperature threshold value T0; The signal conversion module converts the data measured by the temperature sensor into temperature data; The detection control unit reads the above temperature data regularly and compares it with T0; Determine whether the real-time lubricating oil temperature T deviates from the temperature threshold T A Exceeds the tolerance.

[0024] The temperature monitoring module in this embodiment continuously monitors the lubricating oil temperature in the gas turbine through the lubricating oil temperature sensor. The sensor converts the measured temperature signal into processable temperature data through the signal conversion module, and then transmits it to the detection control unit. The detection control unit will read these temperature data regularly and compare them with the preset temperature threshold T0. If it is detected that the current temperature T exceeds or falls below T0 and exceeds the allowable deviation range, the system will further process to adjust the temperature. The system can realize accurate monitoring of the lubricating oil temperature, effectively prevent the lubricating oil temperature from deviating from the optimal working range, ensure the normal operation of the gas turbine, extend the service life of the equipment, and reduce the maintenance cost caused by abnormal temperature.

[0025] In this embodiment, the arrangement of the temperature sensors can be adjusted to different types of sensors, such as infrared temperature sensors or thermocouple sensors, to meet different environmental requirements. The signal conversion module can also use other forms of converters, such as a high-precision ADC module, to improve measurement accuracy.

[0026] The temperature monitoring module monitors the lubricating oil temperature T and the predetermined temperature threshold T0 during the operation of the marine gas turbine and further includes: The temperature sensors are arranged in a matrix; The standard temperature storage unit has a preset temperature threshold T0, and the optimal operating temperature of the lubricating oil is calculated using the formula: T0=T opt ±ΔT allow Sure, Among them, T opt is the optimal operating temperature, ΔT allow is the allowable temperature deviation; The signal conversion module converts the electrical signal output by the temperature sensor into digital temperature data. This process is completed through an analog-to-digital converter. The converted data is expressed in binary form. The relationship between the output signal U of the temperature sensor and the temperature T is: T=K×U+T offset , Where K is the sensitivity of the sensor (unit: °C / mV), T offset is the zero point offset (unit: °C); The detection control unit periodically reads the temperature data T converted by the signal conversion module and compares it with the preset temperature threshold T0. For each sampling, the detection control unit calculates the temperature difference ΔT: ΔT=T-T0, And determine whether ΔT is within the allowable temperature range, that is: |ΔT|≤ΔT allow , Where, ΔT allow is the allowable temperature deviation.

[0027] In this embodiment, the lubricating oil temperature of the gas turbine is extensively monitored by temperature sensors arranged in a matrix. The signal conversion module converts the analog signal output by the sensor into a digital signal through an analog-to-digital converter, so that it can be stored and processed in binary form. The detection control unit determines whether the lubricating oil temperature deviates from the preset optimal temperature range by calculating the temperature difference ΔT. This system ensures that the lubricating oil temperature remains within the allowable operating range through real-time monitoring and precise calculations. The matrix-form temperature monitoring provides more extensive and accurate temperature data, further improving the temperature control capability of the system. Through the combination of mathematical models and analog-to-digital conversion technology, the system achieves high-precision temperature monitoring and regulation, which helps to optimize the operating efficiency and safety of the gas turbine. Alternative methods include using different signal conversion technologies or temperature sensor arrangements to adapt to different application scenarios or environmental conditions. In addition, the formula for determining the temperature threshold can also be optimized or adjusted according to different working conditions to meet the operating requirements of different gas turbines.

[0028] The temperature control module starts the cooling system or heating system of the lubricating oil according to the temperature difference ΔT=T-T0, including: Instruct the actuator of the lubricating oil cooling system or the lubricating oil heating system to start according to ΔT; Setting the start-up parameters of the temperature control switch to outside the predefined range; The actuator receives instructions from the control system and adjusts the input flow of the cold and hot media; Controls the cooler or heater of the lubricating oil system until the target temperature is reached.

[0029] This implementation method determines whether the lubricating oil temperature exceeds the preset range based on the real-time monitored temperature difference ΔT through the temperature control module. If the temperature deviates from the preset T0, the system will instruct the corresponding cooling or heating system to start. The actuator adjusts the flow of the cooling or heating medium according to the instructions sent by the control system until the lubricating oil temperature returns to the set target range. The entire process realizes automatic temperature regulation through the coordinated operation of the temperature control switch and the actuator. Through the automated temperature regulation system, this implementation method can effectively keep the lubricating oil temperature within the optimal working range, reduce human operation errors, and improve the reliability and efficiency of the system operation. In addition, the implementation of automatic control also helps to extend the life of the equipment and reduce maintenance costs.

[0030] The temperature control module can adopt more complex control algorithms, such as adaptive control or fuzzy control, to improve the response speed and stability of the system. The actuator of the heating or cooling system can also be replaced with other types of control elements, such as proportional valves or regulators, to enhance the adaptability of the system.

[0031] The temperature control module starts the cooling system or heating system of the lubricating oil according to the temperature difference ΔT=T-T0, further comprising: When the detection control unit finds that the temperature T deviates from T0 by more than the allowable deviation ΔT allow When T>T0+ΔT allow , the system will start the cooling system, on the contrary, when T <T0-ΔT allow , the system will start the heating system; In order to prevent the system from starting and stopping frequently, a dead zone range ΔT is set. dead ,Right now: If |ΔT|<ΔT dead , the cooling or heating system will not be started; According to the calculation result of ΔT, the temperature control module generates a corresponding control signal and sends it to the actuator of the cooling system or heating system; The actual output power P of the cooling system cool It is expressed as: P cool =K C ×Q C ×ΔT C , Among them, Q C is the flow rate of cooling medium, K C is the heat transfer coefficient of the cooling system, ΔT C is the temperature difference between the cooling medium entering and leaving the cooler; The heating system is an electric heater with an output power of P heatThen the relationship with the supply voltage V and the resistance R is: P heat =V² / R; Adjust the power of the cooling or heating system according to the size of ΔT. The output calculation formula of PID control is: , Among them, u(t) is the control output, K P , K i , K d They are the proportional, integral and differential coefficients of PID control respectively.

[0032] In this embodiment, the temperature control module detects that the lubricating oil temperature deviates from the preset value T0 and exceeds the allowable deviation ΔT allow After that, the cooling or heating system is started immediately for adjustment. In order to avoid the system starting and stopping too frequently, a dead zone range ΔT is set. dead , when the temperature deviation is within this range, the system will not start any regulation. The power of the cooling system is calculated by the flow rate and temperature difference of the cooling medium, while the power of the heating system is based on the resistance of the electric heater and the supply voltage. The PID control algorithm is used to accurately adjust the power output of the system to maintain the stability of the lubricating oil temperature. By introducing the dead zone range ΔT dead , effectively reducing the frequent start-up and stop of the system and extending the service life of the equipment. At the same time, precise temperature regulation is achieved through the PID control algorithm to ensure that the lubricating oil temperature is maintained within the ideal range, thereby improving the operating efficiency and reliability of the gas turbine.

[0033] The PID control algorithm can be replaced with other types of control algorithms, such as adaptive control or fuzzy control, to adapt to more complex temperature change scenarios. The actuators of the cooling and heating systems can also use more efficient regulating elements, such as proportional control valves or intelligent controllers, to improve the response speed and accuracy of the system.

[0034] The flow regulation module corrects the preset flow Q0 based on the real-time power P and obtains the adjusted flow Q A , and accordingly adjust the lubricating oil flow to QA including: Obtain the preset basic correction factor k based on the real-time power P of the marine gas turbine p ; Calculate the correlation coefficient k between the actual required power and the current lubricating oil flow p ; Using the formula Q A =Q0+(P×k p +k p ) to obtain the adjusted lubricating oil flow Q A ; During the flow correction process, ensure that the set upper and lower limits of oil volume are not exceeded; Wherein, the preset basic correction factor k is obtained based on the real-time power P of the marine gas turbine. p include: Query the basic oil pressure change table corresponding to different working areas to obtain k p ; If the marine gas turbine is operated in the low load area, k p Take the minimum value; If the marine gas turbine is in rated operation, a medium-sized k is used. p value; If the maximum output is used, a higher value of k is selected. p value; The correlation coefficient k between the power actually required and the current lubricating oil flow rate is calculated as follows: p include: Obtained by analyzing historical correlation data of lubricant consumption and load; If the marine gas turbine operates stably at a fixed load level for a long period of time, this value is minimum; If a marine gas turbine has a large span variable load condition, k p The value should be increased to increase the lubricant pumping speed; If the current lubricant consumption exceeds the historical average, k p Take a larger positive value for compensation correction.

[0035] In the above scheme, the flow regulation module uses the real-time power P to correct the preset flow Q0, and then obtains the adjusted lubricating oil flow Q A Through the analysis of the basic oil pressure change table and historical data, the module obtains k p and k p Two key coefficients. These two coefficients are calculated by formula combined with real-time power P to determine the final flow rate Q A . This mechanism ensures that the flow rate of lubricating oil can dynamically adapt to the actual power output and historical consumption of the gas turbine, and optimizes the lubrication effect and efficiency of the gas turbine. At the same time, the system sets upper and lower limits of the oil volume during the flow correction process to prevent the lubricating oil flow rate from being too high or too low, and to protect the normal operation of the system. This embodiment can ensure that the marine gas turbine obtains the best lubrication effect under different operating conditions by adjusting the lubricating oil flow rate in real time, especially in the case of large-span load changes. The flow rate of lubricating oil can be dynamically adjusted to prevent insufficient or excessive lubrication, thereby improving the operating efficiency and life of the gas turbine. In addition, by setting the upper and lower limits of the oil volume, this embodiment improves the safety of the system and reduces the risk of failures caused by lubrication problems.

[0036] Based on this implementation, adjustments can be made for different types of gas turbines or application scenarios. For example, the construction of the basic oil pressure change table can be optimized according to the type and operating environment of the specific gas turbine. In addition, the calculation method of the correlation coefficient kp can also be adjusted according to the richness and accuracy of historical data, and even a machine learning-based model can be introduced to dynamically optimize the kp value. In practical applications, the upper and lower limits of the lubricating oil flow can also be adjusted to meet the safety requirements under different operating conditions.

[0037] When correcting the flow rate, it is necessary to avoid overloading the lubricating oil pump to ensure Q A conform to: Under the minimum flow limit condition, Q A ≥Q min , the minimum oil volume required for lubrication is not exceeded, where Qmin is the minimum flow limit; Also, to ensure the highest safety limit, Q A ≤Q max , limit the lubricating oil supply to prevent excessive pressure on the equipment, among which, Q max is the maximum flow limit value; Q A During the adjustment process, it is also necessary to ensure that ΔQ A ≤Q damp To smooth the change to reduce vibration, where ΔQ A is the change in lubricating oil flow rate, Q damp Limit value for buffering flow changes; Among them, when Q A When the calculated value falls outside the above three limits, additional logic judgment is required for the lubricating oil system flow adjustment action. Follow the steps below: If Q A min , then let the flow rate Q A Set as the target minimum value Q set =Q min ; If Q A >Q max , then the flow rate Q A The setting should be the maximum limit value Q set =Q max ; If ΔQ A >Q damp Q A Set to the original flow rate plus a smaller value ΔQ A =Q Aold + Q damp ; Finally, according to the setting Q set / ΔQ A ​To make adjustments, Q Aold is the lubricating oil flow rate before adjustment.

[0038] In the above scheme, the lubricating oil control system controls the flow rate Q A Real-time monitoring and adjustment ensures that the lubricating oil flow rate is always within a safe and effective range. min and the maximum flow rate Q max The system avoids insufficient or excessive lubricating oil supply, thereby ensuring the stable operation of the gas turbine. In addition, in order to avoid the impact of sudden changes in flow on the system, a flow change buffer limit value Q is set. damp , ensure that the adjustment of the lubricating oil flow is gradual and smooth. In special cases, when Q A When the calculated value exceeds the above-mentioned limited range, the system automatically performs logical judgment to ensure the safety and reliability of the lubricating oil flow. The design of this embodiment effectively avoids the risk of lubricating oil pumping overload, ensures that the lubricating oil flow is adjusted within the safety range of the equipment, and prevents equipment damage or reduced efficiency due to too low or too high oil volume. By buffering the change in lubricating oil flow, the system can smoothly adjust the flow, reduce mechanical vibration and loss caused by flow fluctuations, and further improve the operating stability and service life of the gas turbine. On the whole, the present invention can intelligently adjust the lubricating oil flow under different working conditions to ensure the long-term and stable operation of the equipment.

[0039] In this embodiment, the minimum flow rate Q min and the maximum flow rate Q max The setting of Q can be adjusted according to different marine gas turbine models or operating environments. For example, for a larger power gas turbine, Q min and Q max In order to meet higher operating requirements. In addition, the flow change buffer limit value Q damp It can also be optimized according to the response speed of the lubricating oil system and the operating characteristics of the gas turbine. In other cases, the system can also integrate more sensors or control algorithms to further improve the accuracy and response speed of lubricating oil flow regulation.

[0040] The feedback control module corrects the preset flow rate Q0 based on the real-time power P and obtains the adjusted flow rate Q A , and adjust the lubricating oil flow to Q accordingly A include: Modular installation of temperature sensing equipment to continuously monitor the adjusted lubricating oil temperature value; Configure a feedback controller to calibrate and adjust the temperature T and the target range according to the preset temperature range; If the adjusted temperature exceeds the preset range, the operation of the heater or cooler is adjusted through closed-loop logic; Dynamic monitoring of the temperature trend chart integrated in the control system to provide early warning of out-of-range risks; Establish a feedback mechanism to automatically or semi-automatically intervene in the entire lubrication process when abnormal conditions are detected.

[0041] In the above scheme, the feedback control module ensures that the lubricating oil temperature operates within a preset safe range through real-time temperature monitoring and closed-loop control logic. The temperature sensing device provides real-time data, and the feedback controller compares this data with the target temperature band and adjusts the operation of the heater or cooler when necessary. This closed-loop control system ensures accurate control of the lubricating oil temperature, and at the same time, through the dynamic monitoring and early warning mechanism of the temperature trend graph, potential temperature anomalies can be responded to in a timely manner. This embodiment ensures that the lubricating oil temperature remains within a safe and efficient range through real-time monitoring and intelligent control. Through closed-loop control logic and automatic feedback mechanism, the system can respond quickly to temperature anomalies and prevent equipment from being damaged due to excessively high or low temperatures. This intelligent adjustment mechanism not only improves the operating efficiency of the gas turbine, but also extends the service life of the equipment, reduces maintenance costs and the risk of sudden failures. In addition, the dynamic monitoring function of the temperature change trend enables the system to take measures in advance when the temperature approaches the critical value, further improving the safety and reliability of the system.

[0042] Based on this implementation, the selection of temperature sensing equipment and feedback controller can be adjusted according to different gas turbine types and operating environments. For scenarios with high precision requirements, a temperature sensor with higher sensitivity can be selected. In addition, the logic algorithm of the feedback controller can also be optimized according to specific needs, and even artificial intelligence algorithms can be introduced to improve control accuracy. The setting of the temperature range can be flexibly adjusted according to seasonal changes, environmental conditions and specific operating requirements of the gas turbine to adapt to different operating conditions.

[0043] The feedback control module continuously monitors whether the adjusted lubricating oil temperature is kept within the preset range, and makes timely feedback control to ensure that the lubricating oil remains stable. Further includes: The historical temperature data is plotted in real time to generate a temperature trend graph, which can show the real-time temperature changes and their relative to the target range [T min , T max ] deviation; When the predicted temperature trend indicates that T(t) may exceed [T min , T max ], the system will issue a warning signal and prepare to initiate corresponding regulatory measures. The prediction algorithm uses the formula: T pred (t+Δt)=T(t)+(dT(t) / dt)·Δt, Where dT(t) / dt is the time rate of change, Δt is the predicted time interval, and T pred (t+Δt) is the predicted temperature value at the future time t+Δt.

[0044] In the above scheme, the feedback control module ensures that the lubricating oil temperature remains within the preset range by combining real-time monitoring and prediction algorithms. The temperature change trend graph not only shows the history and current status of the temperature, but also predicts future temperature changes by analyzing the time rate of change. When the prediction results show that the temperature may exceed the safe range, the system will warn through an early warning signal and prepare adjustment measures to prevent the abnormal temperature from affecting the equipment. This preventive control method enhances the reliability and safety of the system. This implementation method significantly improves the accuracy and response speed of lubricating oil temperature control by introducing a real-time mapping and prediction mechanism for temperature change trends. The system can identify potential temperature anomalies in advance and take preventive measures before problems occur, reducing the risks caused by temperature fluctuations in the lubricating oil system. In addition, this implementation method not only helps to protect the safe operation of marine gas turbines, but also extends the service life of the equipment, reduces maintenance costs and unplanned downtime.

[0045] In this embodiment, the specific form and parameters of the temperature prediction algorithm can be adjusted according to different application requirements. For example, for a more complex operating environment, a more advanced machine learning algorithm can be used to predict the temperature to improve the accuracy of the prediction. The time interval of Δt can also be optimized according to the requirements of the system response speed. In addition, the display form and data processing method of the temperature change trend graph can be customized according to the user's operating habits and needs to provide a more intuitive and practical temperature monitoring tool.

[0046] A lubricating oil control method for a marine gas turbine, using the lubricating oil control system for a marine gas turbine, is characterized in that the method comprises: S1: monitor the lubricating oil temperature T of the marine gas turbine during operation and compare it with a predetermined temperature threshold value T0; S2: According to the temperature difference ΔT=T-T0, the cooling system or heating system of the lubricating oil is selectively started to adjust the temperature of the lubricating oil; S3: Based on the real-time power P, the preset flow rate Q0 is corrected to obtain the adjusted flow rate Q A , and adjust the lubricating oil flow to Q accordingly A ; S4: Continuously monitor whether the adjusted lubricating oil temperature T remains within a preset range, and perform feedback control based on the monitoring results to ensure that the lubricating oil temperature is stable within a desired range.

[0047] The above method solves the problem of unstable lubricating oil temperature control during the operation of marine gas turbines through a series of intelligent control mechanisms. First, in terms of monitoring, a dynamic monitoring method is adopted, which can timely reflect the deviation between the existing oil temperature and the set target, and use this as a basis to start and stop the corresponding hot and cold control equipment in a timely manner; secondly, in terms of controlling the supply flow of lubricating oil, the invention adopts a method of combining power regulation flow to improve control accuracy and reliability; through the above measures, the lubricating oil is maintained in a stable and moderate operating temperature state during the operation of the entire lubricating oil system.

[0048] Therefore, such a design not only takes into account the need for quality assurance of the lubricating oil itself (temperature stability can maintain its good condition), but also fully reflects the effective maintenance of the safe, reliable and efficient operation of the equipment. It not only helps to enhance the cooling effect of the lubricating oil on the active parts of the ship's gas turbine, but also can maintain the good operation of the entire equipment under extreme working conditions or drastic changes in the external environment, significantly improving the adaptability of the lubricating oil system and its overall efficiency level. In summary, this new lubricating oil control method successfully solves the pain points of poor safety and high maintenance difficulty caused by the lack of sufficient dynamic control mechanisms in the traditional technical system.

[0049] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A lubricating oil control system for a marine gas turbine, characterized in that: The system comprises: A temperature monitoring module is used to monitor the lubricating oil temperature T and a predetermined temperature threshold T0 during operation of a marine gas turbine; A temperature control module connected to the temperature detection module is used to start the cooling system or heating system of the lubricating oil according to the temperature difference ΔT=T-T0; The flow regulating module connected to the temperature monitoring module and the temperature control module is used to correct the preset flow Q0 based on the real-time power P to obtain the adjusted flow Q A , and adjust the lubricating oil flow to Q accordingly A ; The feedback control module connected to the temperature control module and the flow regulation module is used to continuously monitor whether the adjusted lubricating oil temperature remains within a preset range, and to perform feedback control to ensure that the lubricating oil remains stable.

2. The lubricating oil control system for a marine gas turbine according to claim 1, characterized in that: The temperature monitoring module monitors the lubricating oil temperature T and the predetermined temperature threshold T0 when the marine gas turbine is running, including: A lubricating oil temperature sensor is provided to continuously measure the lubricating oil temperature; A standard temperature storage unit is provided to record and maintain a preset temperature threshold value T0; The signal conversion module converts the data measured by the temperature sensor into temperature data; The detection control unit reads the above temperature data regularly and compares it with T0; Determine whether the real-time lubricating oil temperature T deviates from the temperature threshold T A Exceeds the tolerance.

3. The lubricating oil control system for a marine gas turbine according to claim 2, characterized in that: The temperature monitoring module monitors the lubricating oil temperature T and the predetermined temperature threshold T0 when the marine gas turbine is running, further comprising: The temperature sensors are arranged in a matrix; The standard temperature storage unit has a preset temperature threshold T0, and the optimal operating temperature of the lubricating oil is calculated using the formula: T0=T opt ±ΔT allow Sure, Among them, T opt is the optimal operating temperature, ΔT allow is the allowable temperature deviation; The signal conversion module converts the electrical signal output by the temperature sensor into digital temperature data. This process is completed through an analog-to-digital converter. The converted data is expressed in binary form. The relationship between the output signal U of the temperature sensor and the temperature T is: T=K×U+T offset , Where K is the sensitivity of the sensor (unit: °C / mV), T offset is the zero point offset (unit: °C); The detection control unit periodically reads the temperature data T converted by the signal conversion module and compares it with the preset temperature threshold T0. For each sampling, the detection control unit calculates the temperature difference ΔT: ΔT=T-T0, And determine whether ΔT is within the allowable temperature range, that is: |ΔT|≤ΔT allow , Where, ΔT allow is the allowable temperature deviation.

4. The lubricating oil control system for a marine gas turbine according to claim 3, characterized in that: The temperature control module starts the cooling system or heating system of the lubricating oil according to the temperature difference ΔT=T-T0, including: Instruct the actuator of the lubricating oil cooling system or the lubricating oil heating system to start according to ΔT; Setting the start-up parameters of the temperature control switch to outside the predefined range; The actuator receives instructions from the control system and adjusts the input flow of the cold and hot media; Controls the cooler or heater of the lubricating oil system until the target temperature is reached.

5. The lubricating oil control system for a marine gas turbine according to claim 4, characterized in that: The temperature control module starts the cooling system or heating system of the lubricating oil according to the temperature difference ΔT=T-T0, further comprising: When the detection control unit finds that the temperature T deviates from T0 by more than the allowable deviation ΔT allow When T>T0+ΔT allow , the system will start the cooling system, on the contrary, when T <T0-ΔT allow , the system will start the heating system; In order to prevent the system from starting and stopping frequently, a dead zone range ΔT is set. dead ,Right now: If |ΔT|<ΔT dead , the cooling or heating system will not be started; According to the calculation result of ΔT, the temperature control module generates a corresponding control signal and sends it to the actuator of the cooling system or heating system; The actual output power P of the cooling system cool It is expressed as: P cool =K C ×Q C ×ΔT C , Among them, Q C is the flow rate of cooling medium, K C is the heat transfer coefficient of the cooling system, ΔT C is the temperature difference between the cooling medium entering and leaving the cooler; The heating system is an electric heater with an output power of P heat Then the relationship with the supply voltage V and the resistance R is: P heat =V² / R; Adjust the power of the cooling or heating system according to the size of ΔT. The output calculation formula of PID control is: ， Among them, u(t) is the control output, K P , K i , K d They are the proportional, integral and differential coefficients of PID control respectively.

6. The lubricating oil control system for a marine gas turbine according to claim 1, characterized in that: The flow regulation module corrects the preset flow Q0 based on the real-time power P to obtain the adjusted flow Q A , and adjust the lubricating oil flow to QA accordingly, including: Obtain the preset basic correction factor k based on the real-time power P of the marine gas turbine p ; Calculate the correlation coefficient k between the actual required power and the current lubricating oil flow p ; Using the formula Q A =Q0+(P×k p +k p ) to obtain the adjusted lubricating oil flow Q A ; During the flow correction process, ensure that the set upper and lower limits of oil volume are not exceeded; Wherein, the preset basic correction factor k is obtained based on the real-time power P of the marine gas turbine. p include: Query the basic oil pressure change table corresponding to different working areas to obtain k p ; If the marine gas turbine is operated in the low load area, k p Take the minimum value; If the marine gas turbine is in rated operation, a medium-sized k is used. p value; If the maximum output is used, a higher value of k is selected. p value; The correlation coefficient k between the power actually required and the current lubricating oil flow rate is calculated as follows: p include: Obtained by analyzing historical correlation data of lubricant consumption and load; If the marine gas turbine operates stably at a fixed load level for a long period of time, this value is minimum; If a marine gas turbine has a large span variable load condition, k p The value should be increased to increase the lubricant pumping speed; If the current lubricant consumption exceeds the historical average, then k p Take a larger positive value for compensation correction.

7. The lubricating oil control system for a marine gas turbine according to claim 6, characterized in that: When correcting the flow rate, it is necessary to avoid overloading the lubricating oil pump to ensure Q A conform to: Under the minimum flow limit condition, Q A ≥Q min , the minimum oil volume required for lubrication is not exceeded, where Qmin is the minimum flow limit; Also, to ensure the highest safety limit, Q A ≤Q max , limit the lubricating oil supply to prevent excessive pressure on the equipment, among which, Q max is the maximum flow limit value; Q A During the adjustment process, it is also necessary to ensure that ΔQ A ≤Q damp To smooth the change to reduce vibration, where ΔQ A is the change in lubricating oil flow rate, Q damp Limit value for buffering flow changes; Among them, when Q A When the calculated value falls outside the above three limits, additional logic judgment is required for the lubricating oil system flow adjustment action. Follow the steps below: If Q A min , then let the flow rate Q A Set as the target minimum value Q set =Q min ;​ If Q A >Q max , then the flow rate Q A The setting should be the maximum limit value Q set =Q max ; If ΔQ A >Q damp Q A Set to the original flow rate plus a smaller value ΔQ A =Q Aold + Q damp ; Finally, according to the setting Q set / ΔQ A To make adjustments, Q Aold is the lubricating oil flow rate before adjustment.

8. The lubricating oil control system for a marine gas turbine according to claim 1, characterized in that: The feedback control module corrects the preset flow rate Q0 based on the real-time power P to obtain the adjusted flow rate Q A , and adjust the lubricating oil flow to Q accordingly A include: Modular installation of temperature sensing equipment to continuously monitor the adjusted lubricating oil temperature value; Configure a feedback controller to calibrate and adjust the temperature T and the target range according to the preset temperature range; If the adjusted temperature exceeds the preset range, the operation of the heater or cooler is adjusted through closed-loop logic; Dynamic monitoring of the temperature trend chart integrated in the control system to provide early warning of out-of-range risks; Establish a feedback mechanism to automatically or semi-automatically intervene in the entire lubrication process when abnormal conditions are detected.

9. A lubricating oil control system for a marine gas turbine according to claim 8, characterized in that: The feedback control module continuously monitors whether the adjusted lubricating oil temperature is kept within a preset range, and performs feedback control in a timely manner to ensure that the lubricating oil remains stable, further comprising: The historical temperature data is plotted in real time to generate a temperature trend graph, which can show the real-time temperature changes and their relative to the target range [T min , T max ] deviation; When the predicted temperature trend indicates that T(t) may exceed [T min , T max ], the system will issue a warning signal and prepare to initiate corresponding regulatory measures. The prediction algorithm uses the formula: T pred (t+Δt)=T(t)+(dT(t) / dt)·Δt, Where dT(t) / dt is the time rate of change, Δt is the predicted time interval, and T pred (t+Δt) is the predicted temperature value at the future time t+Δt.

10. A method for controlling lubricating oil of a marine gas turbine, using the lubricating oil control system of a marine gas turbine according to any one of claims 1 to 9, characterized in that: The method comprises: S1: monitoring the lubricating oil temperature T of the marine gas turbine during operation and comparing it with a predetermined temperature threshold value T0; S2: According to the temperature difference ΔT=T-T0, the cooling system or heating system of the lubricating oil is selectively started to adjust the temperature of the lubricating oil; S3: Based on the real-time power P, the preset flow rate Q0 is corrected to obtain the adjusted flow rate Q A , and adjust the lubricating oil flow to Q accordingly A ; S4: Continuously monitor whether the adjusted lubricating oil temperature T remains within a preset range, and perform feedback control based on the monitoring results to ensure that the lubricating oil temperature is stable within a desired range.

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