Boiler feed pump lubricating oil system based on state real-time perception and regulation and control method

Abstract

The invention discloses a boiler feed pump lubricating oil system based on state real-time perception and a regulation and control method, and belongs to the technical field of thermal power plant auxiliary equipment. The problems that due to extensive control, single state monitoring and passive maintenance strategies, an existing boiler feed pump lubricating oil system is high in energy consumption, insufficient in early warning capacity and poor in operation reliability are solved. The system comprises a basic assembly and an intelligent regulation and control assembly. The basic assembly serves as an execution unit of the lubricating oil system and is used for achieving supply, filtering and temperature control of lubricating oil. The intelligent regulation and control assembly serves as a sensing and decision-making unit of the lubricating oil system, senses the running state, oil quality parameters and the running state of a water feeding pump of the basic assembly in real time through a multi-dimensional sensor network, and generates a regulation and control instruction through a built-in intelligent algorithm and an evaluation model. And closed-loop optimization control is carried out on a key execution mechanism in the basic assembly, so that the lubricating oil system forms an intelligent lubricating whole capable of self-adapting to the operation working condition. The invention is used for the boiler feed pump unit.

Description

Technical Field

[0001] This invention relates to a boiler feedwater pump lubrication oil system and control method based on real-time state perception, belonging to the technical field of auxiliary equipment for thermal power plants. Background Technology

[0002] Thermal power plants have now generally entered the deep peak shaving operation mode. In order to achieve energy conservation and emission reduction, the speed regulation technology of boiler feedwater pump units has gradually developed from the early hydraulic coupler to full-power variable frequency speed regulation and planetary variable frequency speed regulation. Correspondingly, the lubrication system has also been simplified from a dual system of working oil / lubricating oil to a single lubricating oil system.

[0003] However, traditional lubrication systems generally suffer from the following technical defects:

[0004] 1. Inefficient control methods: PID or mechanical regulation is often used, and electric heaters, oil coolers, and lubricating oil pumps run continuously. The lack of refined control strategies leads to serious energy waste.

[0005] 2. Limited monitoring: Typically only oil pressure and oil temperature are monitored, and it is not sensitive to changes in key oil quality parameters (such as moisture, particle size, viscosity, and dielectric constant). Oil quality assessment basically relies on periodic manual sampling and testing, resulting in insufficient early warning capabilities.

[0006] 3. Passive maintenance strategy: The general practice of fixed-cycle preventive maintenance fails to be adjusted based on the actual health condition of the equipment, which can easily lead to over-maintenance or under-maintenance.

[0007] As the industrial sector deepens its digitalization and intelligentization, the aforementioned traditional systems can no longer meet the high reliability, high economy, and high intelligence requirements of modern energy-saving and environmentally friendly power plants for boiler feedwater pump units. Therefore, there is an urgent need for an intelligent lubrication system capable of real-time status perception, optimal energy efficiency control, early fault warning, and optimized maintenance strategies. Summary of the Invention

[0008] The purpose of this invention is to solve the problems of high energy consumption, insufficient early warning capability and poor operational reliability caused by the extensive control, single condition monitoring and passive maintenance strategy of existing boiler feedwater pump lubrication oil systems. The invention provides a boiler feedwater pump lubrication oil system and control method based on real-time condition perception.

[0009] The boiler feedwater pump lubrication oil system based on real-time state perception described in this invention includes basic components and intelligent control components.

[0010] The basic components serve as the execution unit of the lubricating oil system, used to realize the supply, filtration and temperature control of lubricating oil;

[0011] The intelligent control component, as the sensing and decision-making unit of the lubricating oil system, senses the operating status of the basic components, oil quality parameters, and water pump operating status in real time through a multi-dimensional sensor network. It generates control commands through built-in intelligent algorithms and evaluation models to perform closed-loop optimization control on the key actuators in the basic components, thereby making the lubricating oil system an intelligent lubrication system that can adapt to operating conditions.

[0012] Preferably, the basic components include an oil tank (1), a lubricating oil pump (2), a variable frequency motor (3), a frequency converter (4), a filter (5), a heater (6), a cooler (7), an electric regulating valve (8), and an external electric filter (9).

[0013] The oil outlet of the oil tank (1) is connected to the oil inlet of the lubricating oil pump (2) through a pipeline; the oil outlet of the lubricating oil pump (2) is connected in sequence to the oil inlet of the filter (5) and the heater (6); the oil outlet of the heater (6) is connected in parallel with the oil inlet of the cooler (7) to form a selectable temperature control branch; thereafter, the lubricating oil after temperature adjustment is transported to lubrication points such as the boiler feed water pump group; the lubricated return oil is finally returned to the oil tank (1);

[0014] The lubricating oil pump (2) is driven by a variable frequency motor (3), which is controlled by a frequency converter (4).

[0015] The electric regulating valve (8) is installed on the cooling water return pipe of the cooler (7);

[0016] The external electric filter (9) is connected in parallel in the main pipeline.

[0017] Preferably, the number of the lubricating oil pump (2), the variable frequency motor (3), and the frequency converter (4) are all two sets, and the oil supply capacity of a single lubricating oil pump (2) meets the system's full operating condition requirements, with the two sets of lubricating oil pumps (2) serving as backups for each other.

[0018] Preferably, the intelligent control component includes a controller (10), a status monitoring sensor (11), an oil quality monitoring sensor (12), and an operating condition monitoring sensor (13).

[0019] The status monitoring sensor (11) is used to monitor the operating status of the lubricating oil system in real time;

[0020] The oil quality monitoring sensor (12) is used to monitor oil quality parameters in real time;

[0021] The operating condition monitoring sensor (13) is used to monitor the operating status of the water supply pump in real time;

[0022] The signal output terminals of the condition monitoring sensor (11), oil quality monitoring sensor (12) and operating condition monitoring sensor (13) are respectively connected to the signal input terminal of the controller (10) for uploading the collected real-time data;

[0023] The control signal output terminals of the controller (10) are respectively connected to the key actuators, which include the frequency converter (4), the heater (6) and the electric regulating valve (8).

[0024] The controller (10) has built-in intelligent algorithms and evaluation models to generate decisions and issue control commands.

[0025] Preferably, the condition monitoring sensor (11) includes a pressure transmitter, a temperature transmitter, and a pressure switch;

[0026] The pressure switches consist of three units, and a "two-out-of-three" logic voting strategy is used to trigger the protection action.

[0027] Preferably, the oil quality monitoring sensor (12) includes a moisture content sensor, a particulate contamination sensor, and a metal abrasive sensor;

[0028] The moisture content sensor is used to monitor the moisture content in the oil;

[0029] The particulate contamination sensor is used to monitor the cleanliness of the oil.

[0030] The metal abrasive sensor is used to monitor wear conditions.

[0031] The method for regulating a boiler feedwater pump lubricating oil system based on real-time state perception as described in this invention specifically includes:

[0032] The intelligent control component can perceive the operating status of the basic components, oil quality parameters, and water pump operating status in real time.

[0033] Based on real-time perceived information, the system integrates and analyzes the built-in intelligent algorithms and evaluation models to generate optimized control commands.

[0034] The control commands are sent to the key actuators in the basic components to perform dynamic, closed-loop coordinated control of their operation, so as to achieve adaptive and stable control of the pressure and temperature of the lubricating oil system.

[0035] Preferably, the real-time sensing of the operating status of the basic components includes: lubricating oil pressure and temperature;

[0036] The oil quality parameters of the real-time sensing basic components include: moisture content, particulate contamination level, and metal abrasive content.

[0037] The real-time sensing infrastructure component's water pump operating status includes: water pump speed and main unit load.

[0038] Preferably, during the fusion analysis of the built-in intelligent algorithm and the evaluation model, the intelligent algorithm used is a fuzzy PID control algorithm or a model predictive control algorithm, which is used to achieve adaptive and precise control of lubricating oil temperature.

[0039] Preferably, issuing the control commands to the key actuators in the basic components and performing dynamic, closed-loop coordinated control of their operation further includes:

[0040] The power of the heater (6) and the opening of the electric regulating valve (8) are dynamically coordinated through the collaborative control interface to jointly regulate the lubricating oil temperature.

[0041] Advantages of this invention: The boiler feedwater pump lubrication oil system and control method based on real-time state perception proposed in this invention provide an intelligent lubrication oil system and its control method capable of real-time state perception, optimal energy efficiency control, early fault warning, and maintenance strategy optimization. The beneficial effects of this invention are reflected in the following four aspects:

[0042] 1. High reliability: Through online monitoring of multiple oil parameters, early warning and accurate location of faults are achieved, transforming passive maintenance into predictive maintenance and effectively avoiding unplanned downtime.

[0043] 2. High economy: The use of variable frequency oil pump and intelligent temperature control system significantly reduces the system's own energy consumption, while extending the service life of lubricating oil by ensuring oil quality, thus reducing oil change and maintenance costs.

[0044] 3. High adaptability: The control system can automatically adapt to the start and stop of the water pump, speed changes and load fluctuations, and always maintain the best lubrication condition.

[0045] 4. High intelligence: A complete intelligent monitoring system integrating monitoring, analysis, control and decision-making has been built, which improves the overall intelligence level of the power plant auxiliary equipment system. Attached Figure Description

[0046] Figure 1 This is a schematic diagram of the boiler feedwater pump lubricating oil system based on real-time state perception as described in this invention.

[0047] Figure 2 This is a schematic diagram of the control logic of the boiler feedwater pump lubricating oil system regulation method based on real-time state perception as described in this invention. Detailed Implementation

[0048] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0049] It should be noted that, unless otherwise specified, the embodiments and features described in the present invention can be combined with each other.

[0050] The present invention will be further described below with reference to the accompanying drawings and specific embodiments, but this is not intended to limit the scope of the invention.

[0051] Example 1:

[0052] The following is combined Figure 1 and Figure 2 This embodiment describes a boiler feedwater pump lubrication oil system based on real-time state perception, which includes basic components and intelligent control components.

[0053] The basic components serve as the execution unit of the lubricating oil system, used to realize the supply, filtration and temperature control of lubricating oil;

[0054] The intelligent control component, as the sensing and decision-making unit of the lubricating oil system, senses the operating status of the basic components, oil quality parameters, and water pump operating status in real time through a multi-dimensional sensor network. It generates control commands through built-in intelligent algorithms and evaluation models to perform closed-loop optimization control on the key actuators in the basic components, thereby making the lubricating oil system an intelligent lubrication system that can adapt to operating conditions.

[0055] Furthermore, the basic components include an oil tank 1, a lubricating oil pump 2, a variable frequency motor 3, a frequency converter 4, a filter 5, a heater 6, a cooler 7, an electric regulating valve 8, and an external electric filter 9.

[0056] The oil outlet of the oil tank 1 is connected to the oil inlet of the lubricating oil pump 2 via a pipeline; the oil outlet of the lubricating oil pump 2 is connected in sequence to the oil inlet of the filter 5 and the heater 6; the oil outlet of the heater 6 is connected in parallel with the oil inlet of the cooler 7 to form a selectable temperature control branch; thereafter, the temperature-regulated lubricating oil is transported to lubrication points such as the boiler feed water pump group; the lubricated return oil is finally returned to the oil tank 1;

[0057] The lubricating oil pump 2 is driven by a variable frequency motor 3, and the variable frequency motor 3 is controlled by a frequency converter 4;

[0058] The electric regulating valve 8 is installed on the cooling water return pipe of the cooler 7;

[0059] The external electric filter 9 is connected in parallel in the main pipeline.

[0060] Furthermore, the quantity of the lubricating oil pump 2, the variable frequency motor 3, and the frequency converter 4 are all two sets;

[0061] Furthermore, the oil supply capacity of a single lubricating oil pump 2 meets the system's operating requirements under all working conditions, and the two lubricating oil pumps 2 serve as backups for each other.

[0062] Furthermore, the intelligent control component includes a controller 10, a status monitoring sensor 11, an oil quality monitoring sensor 12, and an operating condition monitoring sensor 13;

[0063] The status monitoring sensor 11 is used to monitor the operating status of the lubricating oil system in real time;

[0064] The oil quality monitoring sensor 12 is used to monitor oil quality parameters in real time;

[0065] The operating condition monitoring sensor 13 is used to monitor the operating status of the water supply pump in real time.

[0066] The signal output terminals of the condition monitoring sensor 11, oil quality monitoring sensor 12 and operating condition monitoring sensor 13 are respectively connected to the signal input terminal of the controller 10 for uploading the collected real-time data.

[0067] The control signal output terminals of the controller 10 are respectively connected to the key actuators; the key actuators include the frequency converter 4, the heater 6, and the electric regulating valve 8;

[0068] The controller 10 has built-in intelligent algorithms and evaluation models for generating decisions and issuing control commands.

[0069] Furthermore, the condition monitoring sensor 11 includes a pressure transmitter, a temperature transmitter, and a pressure switch;

[0070] The pressure switches consist of three units, and a "two-out-of-three" logic voting strategy is used to trigger the protection action.

[0071] Furthermore, the oil quality monitoring sensor 12 includes a moisture content sensor, a particulate contamination sensor, and a metal abrasive sensor.

[0072] The moisture content sensor is used to monitor the moisture content in the oil;

[0073] The particulate contamination sensor is used to monitor the cleanliness of the oil.

[0074] The metal abrasive sensor is used to monitor wear conditions.

[0075] Example 2:

[0076] The following is combined Figure 1 and Figure 2 This embodiment describes a control method for a boiler feedwater pump lubrication oil system based on real-time state perception. The control method specifically includes:

[0077] The intelligent control component can perceive the operating status of the basic components, oil quality parameters, and water pump operating status in real time.

[0078] Based on real-time perceived information, the system integrates and analyzes the built-in intelligent algorithms and evaluation models to generate optimized control commands.

[0079] The control commands are sent to the key actuators in the basic components to perform dynamic, closed-loop coordinated control of their operation, so as to achieve adaptive and stable control of the pressure and temperature of the lubricating oil system.

[0080] Furthermore, the real-time sensing of the operating status of the basic components includes: lubricating oil pressure and temperature;

[0081] The oil quality parameters of the real-time sensing basic components include: moisture content, particulate contamination level, and metal abrasive content.

[0082] The real-time sensing infrastructure component's water pump operating status includes: water pump speed and main unit load.

[0083] Furthermore, during the fusion analysis of the built-in intelligent algorithm and the evaluation model, the intelligent algorithm used is either a fuzzy PID control algorithm or a model predictive control algorithm, which is used to achieve adaptive and precise control of the lubricating oil temperature.

[0084] Furthermore, issuing the control commands to the key actuators in the basic components and performing dynamic, closed-loop coordinated control of their operation also includes:

[0085] The power of heater 6 and the opening of electric regulating valve 8 are dynamically coordinated and controlled through a collaborative control interface to jointly regulate the lubricating oil temperature.

[0086] This invention provides a boiler feedwater pump lubrication oil system and control method based on real-time state perception, such as... Figure 1 A schematic diagram of a boiler feedwater pump lubrication system based on real-time state perception is provided, including oil tank 1, lubrication pump 2, variable frequency motor 3, frequency converter 4, filter 5, heater 6, cooler 7, electric regulating valve 8, external electric filter 9, controller 10, state monitoring sensor 11, oil quality monitoring sensor 12, and operating condition monitoring sensor 13.

[0087] The number of lubricating oil pump 2, variable frequency motor 3, and frequency converter 4 are all 2. The oil supply capacity of a single lubricating oil pump 2 meets the system operation requirements. Therefore, the two lubricating oil pumps serve as backups for each other.

[0088] The electric regulating valve 8 is installed on the cooling water return pipe of the cooler 7 to ensure that the cooling water medium inside the cooler 7 is always sufficient, thereby improving heat exchange efficiency and control accuracy.

[0089] The status monitoring sensor 11 includes a pressure transmitter, a temperature transmitter, and a pressure switch.

[0090] The status monitoring sensor 11 contains three pressure switches, and the corresponding logic protection sampling strategy is 2 out of 3 to avoid malfunction.

[0091] The oil quality monitoring sensor 12 includes a moisture content sensor, a particulate contamination sensor, and a metal abrasive sensor.

[0092] like Figure 2 A control logic diagram of a method for regulating a boiler feedwater pump lubricating oil system based on real-time state perception is provided. The controller 10 has built-in oil temperature control algorithm, oil pressure control algorithm, health status assessment and prediction model, and collaborative control interface.

[0093] The boiler feedwater pump unit lubricating oil system and its control method are characterized by the following steps: real-time acquisition of lubricating oil pressure, temperature and feedwater pump operating parameters; dynamic adjustment of the speed of lubricating oil pump 2 via frequency converter 4 to control oil pressure based on the feedwater pump operating parameters; and dynamic coordination control of heater 6 power and electric regulating valve 8 to control oil temperature based on lubricating oil temperature and feedwater pump operating parameters.

[0094] The operating parameters of the water supply pump include the water supply pump speed and the main unit load.

[0095] It also includes steps / modules for assessing the health status of the system and generating early warnings based on data from the oil quality monitoring sensor 12. For example, when the system detects a sudden increase in particle size, it will not only issue a filter blockage warning, but also combine the metal abrasive data to make a preliminary judgment on the wear parts (such as bearings or gears) and suggest that maintenance personnel check the relevant components.

[0096] The controller 10 uses fuzzy PID or model predictive control algorithms to control the oil temperature.

[0097] The beneficial effects of this invention are reflected in the following four aspects:

[0098] First, high reliability. Through online monitoring of multiple oil parameters, early warning of faults can be achieved, transforming passive maintenance into predictive maintenance and avoiding unplanned downtime.

[0099] Secondly, it is highly economical. The variable frequency oil pump and intelligent temperature control system significantly reduce the system's own energy consumption, extend the service life of the lubricating oil, and reduce the cost of oil changes.

[0100] Third, it has high adaptability. The control system can automatically adapt to the start and stop of the water pump and load fluctuations, and always maintain the best lubrication condition.

[0101] Fourth, it is highly intelligent, forming a complete intelligent monitoring system and improving the overall intelligence level of the power plant.

[0102] While the invention has been described herein with reference to specific embodiments, it should be understood that these embodiments are merely examples of the principles and applications of the invention. Therefore, it should be understood that many modifications can be made to the exemplary embodiments, and other arrangements can be designed without departing from the spirit and scope of the invention as defined by the appended claims. It should be understood that different dependent claims and features described herein can be combined in ways different from those described in the original claims. It is also understood that features described in conjunction with individual embodiments can be used in other described embodiments.

Claims

1. A boiler feedwater pump lubrication oil system based on real-time state perception, characterized in that, It includes basic components and intelligent control components; The basic components serve as the execution unit of the lubricating oil system, used to realize the supply, filtration and temperature control of lubricating oil; The intelligent control component, as the sensing and decision-making unit of the lubricating oil system, senses the operating status of the basic components, oil quality parameters, and water pump operating status in real time through a multi-dimensional sensor network. It generates control commands through built-in intelligent algorithms and evaluation models to perform closed-loop optimization control on the key actuators in the basic components, thereby making the lubricating oil system an intelligent lubrication system that can adapt to operating conditions.

2. The boiler feedwater pump lubrication oil system based on real-time state perception according to claim 1, characterized in that, The basic components include an oil tank (1), a lubricating oil pump (2), a variable frequency motor (3), a frequency converter (4), a filter (5), a heater (6), a cooler (7), an electric regulating valve (8), and an external electric filter (9). The oil outlet of the oil tank (1) is connected to the oil inlet of the lubricating oil pump (2) through a pipeline; the oil outlet of the lubricating oil pump (2) is connected in sequence to the oil inlet of the filter (5) and the heater (6); the oil outlet of the heater (6) is connected in parallel with the oil inlet of the cooler (7) to form a selectable temperature control branch; thereafter, the lubricating oil after temperature adjustment is transported to lubrication points such as the boiler feed water pump group; the lubricated return oil is finally returned to the oil tank (1); The lubricating oil pump (2) is driven by a variable frequency motor (3), which is controlled by a frequency converter (4). The electric regulating valve (8) is installed on the cooling water return pipe of the cooler (7); The external electric filter (9) is connected in parallel in the main pipeline.

3. The boiler feedwater pump lubrication oil system based on real-time state perception according to claim 2, characterized in that, The number of the lubricating oil pump (2), the variable frequency motor (3), and the frequency converter (4) are all two sets; Furthermore, the oil supply capacity of a single lubricating oil pump (2) meets the system's full operating requirements, and the two lubricating oil pumps (2) serve as backups for each other.

4. The boiler feedwater pump lubrication oil system based on real-time state perception according to claim 2, characterized in that, The intelligent control component includes a controller (10), a status monitoring sensor (11), an oil quality monitoring sensor (12), and an operating condition monitoring sensor (13). The status monitoring sensor (11) is used to monitor the operating status of the lubricating oil system in real time; The oil quality monitoring sensor (12) is used to monitor oil quality parameters in real time; The operating condition monitoring sensor (13) is used to monitor the operating status of the water supply pump in real time; The signal output terminals of the condition monitoring sensor (11), oil quality monitoring sensor (12) and operating condition monitoring sensor (13) are respectively connected to the signal input terminal of the controller (10) for uploading the collected real-time data; The control signal output terminals of the controller (10) are respectively connected to the key actuators; the key actuators include the frequency converter (4), the heater (6) and the electric regulating valve (8). The controller (10) has built-in intelligent algorithms and evaluation models to generate decisions and issue control commands.

5. The boiler feedwater pump lubrication oil system based on real-time state perception according to claim 4, characterized in that, The condition monitoring sensor (11) includes a pressure transmitter, a temperature transmitter, and a pressure switch; The pressure switches consist of three units, and a "two-out-of-three" logic voting strategy is used to trigger the protection action.

6. The boiler feedwater pump lubrication oil system based on real-time state perception according to claim 4, characterized in that, The oil quality monitoring sensor (12) includes a moisture content sensor, a particulate contamination sensor, and a metal abrasive sensor. The moisture content sensor is used to monitor the moisture content in the oil; The particulate contamination sensor is used to monitor the cleanliness of the oil. The metal abrasive sensor is used to monitor wear conditions.

7. A method for regulating a boiler feedwater pump lubricating oil system based on real-time state perception as described in any one of claims 1-6, characterized in that, This regulatory method specifically includes: The intelligent control component can perceive the operating status of the basic components, oil quality parameters, and water pump operating status in real time. Based on real-time perceived information, the system integrates and analyzes the built-in intelligent algorithms and evaluation models to generate optimized control commands. The control commands are sent to the key actuators in the basic components to perform dynamic, closed-loop coordinated control of their operation, so as to achieve adaptive and stable control of the pressure and temperature of the lubricating oil system.

8. The method for regulating a boiler feedwater pump lubricating oil system based on real-time state perception according to claim 7, characterized in that, The operating status of the real-time sensing basic components includes: lubricating oil pressure and temperature; The oil quality parameters of the real-time sensing basic components include: moisture content, particulate contamination level, and metal abrasive content. The real-time sensing infrastructure component's water pump operating status includes: water pump speed and main unit load.

9. The method for regulating a boiler feedwater pump lubricating oil system based on real-time state perception according to claim 7, characterized in that, During the fusion analysis of the built-in intelligent algorithm and the evaluation model, the intelligent algorithm used is either a fuzzy PID control algorithm or a model predictive control algorithm, which is used to achieve adaptive and precise control of lubricating oil temperature.

10. The method for regulating a boiler feedwater pump lubricating oil system based on real-time state perception according to claim 7, characterized in that, Sending the control commands to the key actuators in the basic components and performing dynamic, closed-loop coordinated control of their operation also includes: The power of the heater (6) and the opening of the electric regulating valve (8) are dynamically coordinated through the collaborative control interface to jointly regulate the lubricating oil temperature.

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