Intelligent control method and system for condensate water recovery processing unit

Abstract

This invention relates to the field of condensate treatment technology and discloses an intelligent control method and system for condensate recovery and treatment units. The system includes: a monitoring component comprising a pressure transmitter, a temperature transmitter, and several steam traps; a collection chamber equipped with a low-pressure condensate inlet, a medium-pressure condensate inlet, a high-pressure condensate inlet, a safety valve, a pressure gauge assembly, a level riser, and several gate valves; a PLC control cabinet acquiring pressure data from the pressure transmitter, condensate temperature data from the temperature transmitter, filtration signals from the high-level filter, and ultrasonic leakage detection signals from the several steam traps; controlling the opening degree of several drain valves based on the filtration signals; and controlling the linkage of the steam regulating valve and the temperature regulating valve based on the pressure data and condensate temperature data. This invention solves the cavitation problem caused by space constraints, ensures the control accuracy of the drain valves, and improves the stability of the linkage control of the steam regulating valve and the temperature regulating valve.

Description

Technical Field

[0001] This invention relates to the field of condensate treatment technology, and more specifically, to an intelligent control method and system for condensate recovery and treatment units. Background Technology

[0002] In industrial production, steam, as a highly efficient heat energy carrier, is widely used in power generation and chemical industries. After releasing heat, steam condenses to form condensate, which is characterized by high temperature and high heat recovery rate. Condensate recovery units are devices that collect, cool, and pressurize condensate before returning it to the heat exchange system. However, in applications, especially in skid-mounted or closed-loop recovery systems with limited installation height, the condensate tank cannot be placed at a high position, causing insufficient net positive suction head (NPSH) in the pump. Furthermore, when the pump impeller rotates at high speed, the liquid phase at the impeller... Cavitation caused by vaporization leads to high noise levels and a rapid decrease in pump lifespan. Furthermore, during the recovery process, fine impurities in the condensate can clog the pumps. Existing condensate recovery units typically use fixed parameters to control the drain valve to remove impurities, which cannot address different operating conditions, resulting in wasted unit resources. Secondly, when dealing with different operating conditions, the existing control system cannot link the steam regulating valve and the temperature regulating valve, preventing the recovery of overloaded steam and thus affecting the recovery of water resources and heat energy.

[0003] Therefore, it is necessary to design an intelligent control method and system for condensate recovery and treatment units to solve the problems existing in the current technology. Summary of the Invention

[0004] In view of this, the present invention proposes an intelligent control method and system for condensate recovery and treatment units, aiming to solve the problems of insufficient net positive suction head (NPSH) due to current equipment layout constraints, and the lack of intelligent control of condensate recovery and treatment units under different operating conditions.

[0005] This invention proposes an intelligent control system for condensate recovery and treatment units, comprising:

[0006] A monitoring component is installed in a condensate tank. The condensate tank is provided with a collection chamber and a temperature and pressure control chamber, which are connected. The monitoring component includes a pressure transmitter, a temperature transmitter, and several steam traps.

[0007] The collection chamber is equipped with a low-pressure condensate inlet, a medium-pressure condensate inlet, a high-pressure condensate inlet, a safety valve, a pressure gauge assembly, a level riser, and several gate valves. The temperature and pressure control chamber is equipped with a high-level filter and a water-to-water heat exchanger. The high-level filter is equipped with a drain valve, which is connected to a drain collection port. The outlet of the water-to-water heat exchanger is equipped with a flow guiding and pressurizing device. The water-to-water heat exchanger is equipped with a temperature control valve, which is connected to the circulating water outlet of the heat exchanger.

[0008] The outlet of the flow guiding and pressurizing device is connected to several water pumps and leads to the steam ejector through pipelines. The collection chamber is equipped with a steam ejector pipe, which is equipped with a steam flow meter, a regulating valve, a check valve and a steam regulating valve. The check valve is connected to the ejected port of the steam ejector.

[0009] The PLC control cabinet is used to acquire pressure data from the pressure transmitter, condensate temperature data from the temperature transmitter, filtration signals from the high-level filter, and ultrasonic leak detection signals from several steam traps. Based on the filtration signals, it controls the opening of several drain valves. After controlling the opening of the drain valves, it controls the linkage of the steam regulating valve and the temperature regulating valve based on the pressure and condensate temperature data. During the linkage process, it determines whether to issue a leak warning based on the ultrasonic leak detection signals and uploads the operating data to the cloud.

[0010] Furthermore, the pressure transmitter is disposed in the collection chamber, the temperature transmitter is disposed in the temperature and pressure control chamber, and the plurality of steam traps include a high-pressure steam trap, a medium-pressure steam trap, and a low-pressure steam trap with wireless signal transmission for ultrasonic steam leak detection. The high-pressure steam trap is connected to the high-pressure condensate inlet, the medium-pressure steam trap is connected to the medium-pressure condensate inlet, and the low-pressure steam trap is connected to the low-pressure condensate inlet.

[0011] Furthermore, a remote level gauge is provided on the side of the collection chamber, and gate valves are provided at both ends of the remote level gauge. A local thermometer is provided in the temperature and pressure control chamber. The level lifting device is provided with several guide shrouds and guide pipes. The inlet of each guide pipe is located below the liquid surface in the collection chamber. A butterfly valve is provided at the heat exchanger circulating water inlet of the water-to-water heat exchanger. The temperature control valve and the steam control valve are connected to the PLC control cabinet via signal lines.

[0012] Furthermore, a first exhaust pipe is provided inside the temperature and pressure control chamber, the first exhaust pipe passes through the temperature and pressure control chamber, the first exhaust pipe is provided with a vent valve, and the gas from the first exhaust pipe is discharged through the sewage collection port. A second exhaust pipe is provided inside the collection chamber, the second exhaust pipe passes through the collection chamber, the second exhaust pipe is provided with an automatic exhaust valve, and the automatic exhaust valve is connected to the sewage collection port.

[0013] Furthermore, the steam ejector is equipped with a shut-off valve, and the outlet of the steam ejector is equipped with a flow meter connected to the condensate outlet. Several water pumps, including water pump PA and water pump PB, are provided with pressure regulators at the outlets of water pump PA and water pump PB.

[0014] Furthermore, when controlling the opening degree of several drain valves based on the filter signal, the following is included:

[0015] The PLC control cabinet is equipped with an opening model based on the historical operating data in the cloud. When the filter signal exists in the historical operating data in the cloud, the historical data corresponding to the filter signal is determined as the opening of several drain valves. When the filter signal does not exist in the historical operating data in the cloud, the opening of several drain valves is determined based on the filter signal and the opening model.

[0016] Furthermore, when determining the opening degree of several drain valves based on the filter signal and the opening degree model, the process includes:

[0017] The historical operating data is acquired, and a model dataset is constructed based on the historical operating data. The model dataset is divided into a training set and a test set. A grid search is used to find the model parameters of the decision tree model and construct the decision tree model. The decision tree model is trained based on the training set, and the test set is substituted into the trained decision tree model to determine the prediction accuracy. When the accuracy is greater than or equal to the accuracy threshold, the currently trained decision tree model is determined as the opening model, and the filter signal is substituted into the opening model to determine the opening of several sewage valves. Otherwise, the decision tree model is trained again until the accuracy is greater than or equal to the accuracy threshold.

[0018] Furthermore, when controlling the linkage between the steam regulating valve and the temperature regulating valve based on the pressure data and condensate temperature data, the following steps are included:

[0019] The safe range of the collection chamber and the temperature and pressure control chamber is determined, and the safe range is determined according to the pressure resistance level and process requirements of the condensate tank;

[0020] The association results of the safety range, pressure data, condensate temperature data, steam control valve opening range and temperature control valve opening range are determined based on the association rule algorithm, and the opening of the steam control valve and temperature control valve is adjusted by PID linkage based on the association results.

[0021] Furthermore, during the linkage process, when determining whether to issue a leak warning based on the ultrasonic leak detection signal and uploading the operational data to the cloud, the process includes:

[0022] The PLC control cabinet determines the signal spectrum of the ultrasonic leak detection signal through FFT transformation analysis, and detects the fluctuation amplitude, signal strength, and duration of the ultrasonic leak detection signal. Based on fuzzy logic reasoning, it outputs the leakage probability of the fluctuation amplitude, signal strength, and duration. When the leakage probability is greater than or equal to the leakage probability threshold, it determines to issue the leakage warning and uploads the abnormal operation data under the leakage warning to the abnormal database in the cloud. When the leakage probability is less than the leakage probability threshold, it determines not to issue the leakage warning and uploads the normal operation data to the operation database in the cloud.

[0023] Compared with existing technologies, the beneficial effects of this invention are as follows: By using a condensate level lifting device to raise the condensate from the collection chamber into the temperature and pressure control chamber, the negative pressure differential suction head of the water pump inlet is changed to a positive pressure differential supply. This ensures that the water pump selected for skid-mounted equipment, which is limited by height, has sufficient net positive suction head (NPSH). Furthermore, through the synergistic effect of the level lifting device and the flow-guiding and pressurizing device, combined with real-time monitoring data from the pressure transmitter, the water pump inlet pressure environment is dynamically optimized, preventing liquid phase vaporization at the impeller, reducing pump noise, thereby extending the pump's service life and reducing equipment maintenance frequency. Relying on the filtration signal feedback from the high-level filter, the PLC control cabinet can dynamically adjust the opening of the drain valve, precisely controlling impurity discharge for different operating conditions, avoiding resource waste caused by fixed parameter discharge. Simultaneously, the high-level filter improves impurity interception efficiency, reduces the risk of water pump blockage, and ensures the stable operation of the condensate recovery and treatment unit. By using PLC to control the steam regulating valve and the temperature regulating valve in conjunction with pressure data and condensate temperature data to optimize the regulation strategy in real time, the system achieves efficient recovery of overloaded steam, flexibly responds to condensate recovery needs at different pressure levels, and improves the applicability and stability of the unit in complex industrial environments.

[0024] On the other hand, this application also provides an intelligent control method for a condensate recovery and treatment unit, for applying the above-mentioned intelligent control system for a condensate recovery and treatment unit, including:

[0025] Acquire pressure data from the pressure transmitter, condensate temperature data from the temperature transmitter, filtration signal from the high-level filter, and ultrasonic leakage detection signals from several steam traps.

[0026] The opening degree of several drain valves is controlled based on the filter signal;

[0027] After controlling the opening of several drain valves, the steam regulating valve and the temperature regulating valve are linked based on the pressure data and condensate temperature data.

[0028] During the linkage process, the ultrasonic leak detection signal is used to determine whether to issue a leak warning and the operation data is uploaded to the cloud.

[0029] It is understandable that the intelligent control method and system for condensate recovery and treatment units provided above have the same beneficial effects, and will not be elaborated further here. Attached Figure Description

[0030] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0031] Figure 1 This is a schematic diagram of the structure of an intelligent control system for a condensate recovery and treatment unit provided in an embodiment of the present invention;

[0032] Figure 2 A flowchart of an intelligent control method for a condensate recovery and treatment unit provided in an embodiment of the present invention.

[0033] The components include: 1. Condensate outlet; 2. Flow meter; 3. Gate valve; 4. Steam ejector; 5. Shut-off valve; 7. Pressure regulator; 9. Check valve; 13. Pressure gauge assembly; 14. Water pump PA; 15. Water pump PB; 20. Regulating valve; 21. Drain valve; 23. Vent valve; 24. Flow guiding and pressurizing device; 25. Drain collection port; 27. Water-to-water heat exchanger; 28. Butterfly valve; 29. ​​Heat exchanger circulating water inlet; 30. Heat exchanger circulating water outlet; 31. Temperature control valve; 32. High-level filter; 33. Temperature and pressure control chamber; 34. Temperature variable valve. 35. Local thermometer; 36. Safety valve; 38. Liquid level riser; 39. High-pressure steam trap; 40. Medium-pressure steam trap; 41. Low-pressure steam trap; 42. Low-pressure condensate inlet; 43. Medium-pressure condensate inlet; 44. High-pressure condensate inlet; 46. Pressure transmitter; 47. Collection chamber; 49. Remote level gauge; 51. PLC control cabinet; 52. Condensate tank; 55. Automatic air vent valve; 56. Steam flow meter; 57. Steam regulating valve; 60. First air vent pipe; 61. Second air vent pipe; 62. Steam ejector pipe. Detailed Implementation

[0034] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the disclosure to those skilled in the art. It should be noted that, unless otherwise specified, embodiments and features in the embodiments of the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0035] In some embodiments of this application, see Figure 1As shown, an intelligent control system for a condensate recovery and treatment unit includes: a monitoring component installed in a condensate tank 52; the condensate tank 52 has a collection chamber 47 and a temperature and pressure control chamber 33 connected to each other; the monitoring component includes a pressure transmitter 46, a temperature transmitter 34, and several drain valves; the collection chamber 47 has a low-pressure condensate inlet 42, a medium-pressure condensate inlet 43, a high-pressure condensate inlet 44, a safety valve 36, a pressure gauge assembly 13, a level riser 38, and several gate valves 3; the temperature and pressure control chamber 33 has a high-level filter 32 and a water-to-water heat exchanger 27; the high-level filter 32 has a drain valve 21 connected to a drain collection port 25; the outlet of the water-to-water heat exchanger 27 has a flow guiding and pressurizing device 24; the water-to-water heat exchanger 27 has a temperature control valve 31 connected to the heat exchanger circulating water... The outlet 30, the outlet of the flow guiding and pressurizing device 24 is connected to several water pumps and leads to the steam ejector 4 through pipelines. The collection chamber 47 is equipped with a steam ejector pipe 62, which is equipped with a steam flow meter 56, a regulating valve 20, a check valve 9, and a steam regulating valve 57. The check valve 9 is connected to the ejected port of the steam ejector 4. The PLC control cabinet 51 is used to acquire the pressure data of the pressure transmitter 46, the condensate temperature data of the temperature transmitter 34, the filtration signal of the high-level filter 32, and the ultrasonic leakage detection signals of several steam traps. Based on the filtration signal, the opening degree of several drain valves 21 is controlled. After the opening degree of several drain valves 21 is controlled, the linkage of the steam regulating valve 57 and the temperature regulating valve 31 is controlled based on the pressure data and condensate temperature data. During the linkage process, the ultrasonic leakage detection signal is used to determine whether to issue a leakage warning and the operating data is uploaded to the cloud.

[0036] Specifically, since the attached diagram contains multiple pressure gauge assemblies, multiple gate valves, multiple check valves, multiple drain valves, and multiple pressure regulators, and because their functions are identical, structures with the same function are numbered. Several steam traps are used to monitor condensate at different pressure levels, and in conjunction with gate valve 3, the condensate recovery and treatment unit can accurately control the flow rate, thereby guiding the condensate into the collection chamber 47 of the condensate tank 52 according to logical time-sharing or flow-sharing. For example, when condensate pressure fluctuates greatly, adjustments are made to various valves, and the pressure adaptive characteristics of the steam trap are utilized to ensure that condensate flows smoothly into the low-pressure condensate inlet 42, medium-pressure condensate inlet 43, and high-pressure condensate inlet 44. This prevents instantaneous high pressure from impacting the condensate tank 52 and causing damage. The safety valve 36 in the collection chamber 47 serves as a safety guarantee, ensuring pressure safety in the face of overpressure and other situations. The pressure gauge assembly 13 and the digital display of the local thermometer 35 allow relevant personnel to quickly check the pressure and temperature of the collection chamber 47 during on-site inspections. The device 34 converts the acquired temperature signal into an electrical signal (condensate temperature data) with an accuracy of ±0.5℃, while the pressure transmitter 46 converts the acquired pressure signal into an electrical signal (pressure data) with an allowable error range of ±0.05%. The remote level gauge 49 sends the real-time liquid level to the PLC control cabinet 51, enabling the PLC control cabinet 51 to read the liquid level information of the condensate tank 52 in real time. This constructs a two-dimensional monitoring system (pressure and temperature), with liquid level as an auxiliary monitoring feature, allowing the PLC control cabinet 51 to monitor the status of the condensate tank 52 in real time, laying the foundation for the condensate recovery and treatment unit. A high-level filter 32 is installed on the pipe through the partition hole between the temperature and pressure control chamber 33 and the collection chamber 47. The high-level filter 32 can filter water to prevent impurities in the condensate from clogging the water pump. The high-level filter 32 has a built-in sensor that can monitor the pressure difference before and after filtration in real time. Under normal operation, the pressure difference is 0.02-0.05 MPa. If it exceeds 0.1 MPa, the drain logic will be triggered, and the pressure difference signal (filtration signal) will be output to the PLC control cabinet 51. The PLC control cabinet 51 will intelligently adjust the opening of the drain valve 21. For example, if impurities cause the pressure difference to exceed the threshold, the drain valve 21 will increase its opening in 20% increments, and a timer will be started. If the pressure difference does not drop after 30 seconds of draining, the opening of the drain valve 21 will be increased further until the pressure difference returns to the normal range. This allows for precise handling of different impurity concentrations and blockage levels. The drain valve 21 is connected to the drain collection port 25, allowing impurities to be discharged through the drain collection port 25, thus avoiding waste of resources caused by ineffective or incomplete draining.The outlet of the water-to-water heat exchanger 27 is equipped with a flow guiding and pressurizing device 24. The temperature control valve 31 is connected to the circulating water outlet 30 of the heat exchanger. The outlet of the flow guiding and pressurizing device 24 is connected to several water pumps and leads to the steam ejector 4 through pipelines. The pipeline from the flow guiding and pressurizing device 24 to the inlet of the water pump undergoes multi-stage diameter reduction flow guidance to compress the flow channel area, ensuring that the condensate reaching the inlet of the water pump can reach a slightly positive pressure condition, which helps to prevent cavitation.

[0037] Specifically, the collection chamber 47 is equipped with a liquid level lifting device 38, which lifts the condensate in the collection chamber 47 and introduces it into the temperature and pressure regulating chamber 33. This changes the negative pressure differential suction head of the water pump inlet to a positive pressure differential liquid supply, ensuring that the skid-mounted equipment, which is limited by height, has sufficient net positive suction head (NPSH) when using the water pump. This avoids the problem of cavitation caused by liquid phase vaporization at the impeller, which leads to high pump noise and a rapid decrease in pump life. A steam ejector pipe 62 is installed in the collection chamber 47, extending downwards. The steam ejector pipe 62 is equipped with a gate valve 3, a steam flow meter 56, a regulating valve 20, a check valve 9, and a steam regulating valve 57. The steam flow meter 56 has an accuracy of ±1%, providing real-time feedback on steam flow. The PLC control cabinet 51 uses the pressure data from the pressure transmitter 46 and the condensate temperature data from the temperature transmitter 34 to perform linkage adjustment of the opening increment. The steam ejector 4 is used to recover overloaded steam, thereby achieving dynamic balance of the heat load. The PLC control cabinet 51 uploads real-time data, including pressure, condensate temperature, flow rate, equipment status, and liquid level, of the condensate recovery unit to the cloud at minute intervals. The system utilizes the differential pressure signal from the high-level filter 32 to accurately identify the degree of impurity blockage. For example, rust impurities cause a slow increase in differential pressure at the high-level filter 32, while large particles cause sudden changes in differential pressure. This adapts the system to different impurity conditions and reduces the frequency of pump maintenance due to blockage. The temperature control valve 31 is connected to the circulating water outlet 30 of the heat exchanger. It dynamically adjusts the flow rate of circulating water through the water-to-water heat exchanger 27 to stabilize the condensate temperature within the target range. The PLC monitors pressure and condensate temperature data in real time to control the steam regulating valve 57 and the temperature control valve 31 in a coordinated manner, reducing resource waste and improving heat recovery efficiency.

[0038] Understandably, through precise monitoring, intelligent regulation, and digital management throughout the entire process, problems such as cavitation, sewage discharge, and linkage control of traditional condensate recovery and treatment units have been solved. While ensuring the stable operation of the condensate recovery and treatment units, energy recovery efficiency and intelligence level have been improved.

[0039] In some embodiments of this application, a pressure transmitter 46 is disposed in a collection chamber 47, a temperature transmitter 34 is disposed in a temperature and pressure control chamber 33, and a plurality of steam traps include a high-pressure steam trap 39, a medium-pressure steam trap 40, and a low-pressure steam trap 41 with wireless signal transmission for ultrasonic steam leak detection. The high-pressure steam trap 39 is connected to a high-pressure condensate inlet 44, the medium-pressure steam trap 40 is connected to a medium-pressure condensate inlet 43, and the low-pressure steam trap 41 is connected to a low-pressure condensate inlet 42.

[0040] Specifically, pressure transmitter 46 is deployed at the top of collection chamber 47. Pressure transmitter 46 captures pressure changes in collection chamber 47 and transmits them to PLC control cabinet 51. During the operation of steam ejector 4, the pressure signal is a crucial basis for calculating the opening of steam regulating valve 57, ensuring that the system pressure is always maintained within a safe and efficient range. Temperature transmitter 34 is deployed at the top of temperature and pressure control chamber 33. Temperature transmitter 34 monitors the temperature changes of condensate in temperature and pressure control chamber 33. When condensate enters water-to-water heat exchanger 27, temperature transmitter 34 transmits the condensate temperature data to PLC control cabinet 51. PLC control cabinet 51 sends commands to adjust temperature control valve 31, thereby dynamically regulating the temperature changes in temperature and pressure control chamber 33. During this adjustment process, the condensate temperature data is not only used to optimize heat exchange efficiency but also combined with data from steam flow meter 56 to evaluate the effect of heat recovery. Simultaneously, it protects the condensate recovery and treatment unit from overheating damage. Several steam traps, including a high-pressure steam trap 39, a medium-pressure steam trap 40, and a low-pressure steam trap 41 with wireless signal transmission for ultrasonic steam leak detection, are included. During normal operation, the steam traps generate sound waves of a specific frequency when draining water. When a steam leak occurs, the airflow generates sound waves of different frequencies. These sound waves are detected by the steam traps, and the changes in their frequencies are analyzed to accurately determine leak characteristics, such as leak location, leakage rate, and flow velocity. The steam traps use LoRa wireless technology for data transmission. LoRa wireless technology features long-distance transmission and strong penetration, easily penetrating metal tanks and concrete structures to ensure stable signal transmission. Steam traps of different pressure levels can automatically adjust their opening pressure according to their operating pressure range, ensuring normal operation under various conditions. This pressure adaptive regulation function enables the system to be compatible with condensate recovery at different pressure levels, improving the versatility and adaptability of the condensate recovery treatment unit. In an emergency, if a steam trap malfunctions, opening the bypass steam trap can ensure the system continues to operate for a short period, preventing damage to the condensate tank 52 from sudden start-up and shutdown. Through the cooperation of the pressure transmitter 46, temperature transmitter 34, and steam trap, intelligent control of condensate recovery and treatment is achieved, thereby reducing steam leakage, improving energy efficiency, and reducing environmental impact.

[0041] In some embodiments of this application, a remote level gauge 49 is provided on the side of the collection chamber 47, and gate valves 3 are provided at both ends of the remote level gauge 49. A local thermometer 35 is provided in the temperature and pressure control chamber 33. The level lifting device 38 is provided with several guide shrouds and guide pipes. The inlet of each guide pipe is located below the liquid surface of the collection chamber 47. A butterfly valve 28 is provided at the heat exchanger circulating water inlet 29 of the water-to-water heat exchanger 27. The temperature control valve 31 and the steam control valve 57 are connected to the PLC control cabinet 51 through signal lines.

[0042] Specifically, a remote level gauge 49 is installed on the side of the collection chamber 47, with gate valves 3 at both ends. This enables precise measurement and real-time monitoring of the liquid level in the condensate tank 52. The remote level gauge 49 converts the liquid level signal into an electrical signal, such as a 4-20mA standard signal, and transmits it to the PLC control cabinet 51. This allows the control system to dynamically monitor liquid level changes. When the remote level gauge 49 needs to be replaced or calibrated, the gate valves 3 can be closed to isolate the remote level gauge 49 and prevent system shutdown. For example, in chemical production, when the liquid level exceeds the 80% high limit, the PLC control cabinet 51 triggers an alarm and automatically reduces the input of condensate. When the liquid level falls below the 20% low limit, the water pump is started to replenish water, ensuring the safe operation of the system. The local thermometer 35 installed in the temperature and pressure control chamber 33 is mainly used by on-site operators to visually read the temperature inside the chamber. It complements the remote monitoring of the temperature transmitter 34. In actual operation, the local thermometer 35 can display the temperature of the water-to-water heat exchanger 27 in real time, allowing operators to quickly assess the heat exchange effect. The water-to-water heat exchanger 27 increases the contact time between condensate and cooling water, thereby achieving precise heat exchange temperature control. By reducing the temperature of the saturated steam condensate through cooling water heat exchange, it creates subcooling conditions in the saturated steam condensate, further resolving the impeller cavitation problem caused by the slight negative pressure at the pump inlet. Several through holes are provided in the partition plate between the collecting chamber 47 and the temperature and pressure regulating chamber 33. A water collection steel pipe is installed in each through hole, and each water collection steel pipe is connected to the liquid level lifting device 38. The liquid level lifting device 38 is equipped with several guide shrouds and guide pipes. The inlet of the guide pipe is located below the condensate liquid surface in the collecting chamber 47. By utilizing fluid dynamics to create a pressure difference, the condensate is smoothly guided into the pump body, avoiding cavitation. At the same time, the guide pipe inlet is located below the liquid surface, which can prevent air intake and ensure the pump's operating efficiency and stability. A butterfly valve 28 is installed at the circulating water inlet 29 of the water-to-water heat exchanger 27. The butterfly valve 28 is mainly used to quickly adjust the circulating water flow rate during system startup. Meanwhile, the temperature control valve 31 adjusts based on the feedback signal from the temperature transmitter 34 during operation, ensuring the operational stability of the condensate recovery unit under different operating conditions. The temperature control valve 31 and the steam control valve 57 are connected to the PLC control cabinet 51 via signal lines, forming a complete closed-loop control system. The PLC performs logic calculations and decisions based on the pressure transmitter 46 and the temperature transmitter 34. For example, when the pressure increases and the temperature decreases, the PLC determines that the steam injection is insufficient and automatically increases the opening of the steam control valve 57. Simultaneously, it adjusts the start and stop of the water pump according to changes in the liquid level. This intelligent control enables the coordinated operation of all system components, improving condensate recovery efficiency and system stability.

[0043] In some embodiments of this application, a first exhaust pipe 60 is provided inside the temperature and pressure control chamber 33, the first exhaust pipe 60 penetrates the temperature and pressure control chamber 33, the first exhaust pipe 60 is provided with a vent valve 23, and the gas from the first exhaust pipe 60 is discharged through the sewage collection port 25. A second exhaust pipe 61 is provided inside the collection chamber 47, the second exhaust pipe 61 penetrates the collection chamber 47, the second exhaust pipe 61 is provided with an automatic exhaust valve 55, and the automatic exhaust valve 55 is connected to the sewage collection port 25.

[0044] Specifically, the first exhaust pipe 60 and the second exhaust pipe 61 are key to preventing gas accumulation and ensuring efficient system operation. The first exhaust pipe 60 penetrates the temperature and pressure control chamber 33 and is equipped with a vent valve 23, which discharges the gas through the drain port 25. During the heat exchange process of condensate, non-condensable gases such as oxygen and carbon dioxide are released and accumulate in the temperature and pressure control chamber 33, thereby reducing heat exchange efficiency. The first exhaust pipe 60 periodically discharges these gases through the vent valve 23 to maintain the pressure stability of the temperature and pressure control chamber 33. The second exhaust pipe 61 passes through the collection chamber 47 and is equipped with an automatic exhaust valve 55. The outlet is also connected to the sewage collection port 25. The automatic exhaust valve 55 can monitor the gas content in the collection chamber 47 in real time. When the gas accumulates to a certain level (such as when the liquid level drops and the exhaust port is exposed), the automatic exhaust valve 55 opens and releases the gas. Due to the large temperature change during the heat exchange process, the gas will expand to a certain extent. The venting valve 23 opens periodically according to the setting, such as venting for 10 seconds every 30 minutes. The automatic exhaust valve 55 of the collection chamber 47 responds dynamically based on the liquid level change. The two exhaust pipes eventually converge to the sewage collection port 25, which facilitates centralized treatment of the emitted gas and meets the requirements of resource recycling and environmental protection.

[0045] In some embodiments of this application, the steam ejector 4 is provided with a shut-off valve 5, the outlet of the steam ejector 4 is provided with a flow meter 2, the flow meter 2 is connected to the condensate outlet 1, and a plurality of water pumps including water pump P-A14 and water pump P-B15 are provided with pressure regulators 7 at the outlets of water pump P-A14 and water pump P-B15.

[0046] Specifically, a flow meter 2 is installed at the outlet of the steam ejector 4, which is connected to the condensate outlet 1. A gate valve 3 is installed before water pumps P-A14 and P-B15. A check valve 9, a gate valve 3, and a pressure regulator 7 are connected to the outlet of water pump P-A14, which then leads to the gate valve 3 of the steam ejector 4. A pressure gauge assembly 13 is installed on the outlet pipe of water pump P-A14. A check valve 9, a gate valve 3, and a pressure regulator 7 are connected to the outlet of water pump P-B15, which then leads to the gate valve 3 of the steam ejector 4. A pressure gauge assembly 13 is also installed on the outlet pipe of water pump P-B15. A pressure regulator 7 is installed at the outlet of each water pump. The pressure regulator 7 stabilizes the output pressure of the water pump within the normal operating range to avoid pressure shocks caused by fluctuations in water pump operating conditions (such as changes in speed and inlet pressure fluctuations). When the water pump is running, the outlet pressure may fluctuate momentarily due to factors such as the liquid level of the condensate tank 52 and impeller wear. Downstream equipment, such as the steam ejector 4, has strict requirements on the inlet pressure. When the two pumps switch, the pressure regulator 7 can quickly buffer the superimposed pressure to prevent the pipeline from vibrating or leaking due to the sudden increase in pressure. At the same time, it ensures that the ejection efficiency of the steam ejector 4 is not affected by pressure fluctuations. The pressure regulator 7 not only solves the problem of the water pump's energy efficiency being affected by the pressure fluctuations of the condensate recovery network, but also ensures that the water pump always maintains a current-free state when it is unattended and in self-starting mode. The system employs a dual-pump configuration of pumps P-A14 and P-B15, operating in either a standby or parallel mode. For example, under low-load conditions (when condensate recovery is small), only pump P-A14 is activated to meet basic delivery requirements. When the load increases (the flow rate at the high-pressure condensate inlet 44 suddenly increases), the PLC control cabinet 51 automatically activates pump P-B15 based on signals from the remote level gauge 49 and flow meter 2. The two pumps operate in parallel to increase the total output and prevent single-pump overload. If pump P-A14 stops due to mechanical failure, the PLC control cabinet 51 can quickly switch to pump P-B15 to ensure uninterrupted condensate delivery. The components function as follows: water pump P-A14 and / or water pump P-B15 provide stable pressure to steam ejector 4 through pressure regulator 7. Steam ejector 4 performs ejection and pressurization under the premise of safety guaranteed by shut-off valve 5. Flow meter 2 monitors the output flow in real time and feeds it back to PLC control cabinet 51, which then adjusts the steam ejection amount and water pump operation mode (single pump / dual pump) in a coordinated manner. Ultimately, this achieves accurate output of condensate under both flow and pressure parameters, ensuring efficient recovery of heat energy and water resources.

[0047] In some embodiments of this application, when controlling the opening degree of several drain valves 21 based on the filter signal, the following is included: the PLC control cabinet 51 is equipped with an opening degree model based on historical operating data in the cloud. When the filter signal exists in the historical operating data in the cloud, the historical data corresponding to the filter signal is determined as the opening degree of several drain valves 21. When the filter signal does not exist in the historical operating data in the cloud, the opening degree of several drain valves 21 is determined based on the filter signal and the opening degree model.

[0048] Specifically, when the high-level filter 32 generates a filtration signal (pressure difference change caused by impurity accumulation), the PLC control cabinet 51 first calls the historical operating data stored in the cloud for matching. If the current filtration signal (such as a specific pressure difference value at a certain pressure level) is recorded in the historical operating data, it means that the system has experienced the same operating condition. At this time, the historical data corresponding to the filtration signal (historical drain valve 21 opening) can be directly retrieved, and the adjustment operation can be performed without recalculation, thereby quickly responding to known operating conditions and reducing the computing power consumption of the PLC. For example, when the fine rust carried by the low-pressure condensate causes the pressure difference of the high-level filter 32 to reach 0.08MPa, if the historical data shows that the opening of the drain valve 21 corresponding to this signal is 25%, the impurities can be removed. The PLC control cabinet 51 will directly execute the instruction according to this parameter to avoid repeated debugging and waste of resources. If the current filtration signal is a new operating condition, such as a sudden change in pressure difference caused by special impurities in the condensate, and there is no historical record, the PLC control cabinet 51 will start the built-in opening model for calculation. This model generates adaptive opening schemes based on the analysis of historical operating data. For example, when a sudden increase in differential pressure from 0.03 MPa to 0.12 MPa within 10 seconds is detected, and the liquid level drops at an abnormal rate, the opening model automatically calculates the operating parameter for drain valve 21 to be 60% open, ensuring the discharge of impurities. Simultaneously, the filtration signal and corresponding opening parameters for this new operating condition are recorded and uploaded to the cloud to update historical operating data, providing a reference for subsequent similar operating conditions and forming a closed loop of data accumulation—model optimization—precise control.

[0049] Understandably, by leveraging historical experience to quickly respond to routine operating conditions and adapting to complex conditions through opening model calculations, the limitations of traditional fixed parameter control are avoided. Combined with the synergy of equipment such as water pumps and steam ejectors, it can efficiently discharge wastewater while reducing condensate and heat energy losses, further enhancing the intelligence and stability of the condensate recovery and treatment unit.

[0050] In some embodiments of this application, when determining the opening degree of several drain valves 21 based on the filter signal and the opening degree model, the process includes: acquiring historical operating data, constructing a model dataset based on the historical operating data, dividing the model dataset into a training set and a test set, using grid search to find the model parameters of the decision tree model to construct a decision tree model, training the decision tree model based on the training set, and substituting the test set into the trained decision tree model to determine the prediction accuracy. When the accuracy is greater than or equal to the accuracy threshold, the currently trained decision tree model is determined as the opening degree model, and the filter signal is substituting into the opening degree model to determine the opening degree of several drain valves 21. Otherwise, the decision tree model is trained until the accuracy is greater than or equal to the accuracy threshold.

[0051] Specifically, historical operating data is extracted from cloud-based or manually recorded databases. This historical operating data contains two core pieces of information: input features and output labels. Input features represent the operating status of the condensate recovery and treatment unit, including pressure differential changes in the high-level filter 32, condensate level fluctuations, and temperature changes. Output labels represent the opening parameters of the drain valve 21, such as the opening percentage, when responding to these input features. All historical operating data is used to construct a complete model dataset. The constructed model dataset is then divided into a training set and a test set in a ratio, such as 7:3. The training set is used to allow the model to learn the correlation between the filter signal and the opening of the drain valve 21, while the test set is used to test the model's generalization ability, i.e., the accuracy of its predictions on unseen data, ensuring that it can still operate stably under new operating conditions. For example, the model is trained using 70% of historical samples, while the remaining 30% simulates entirely new operating conditions to verify whether the model can correctly predict the opening degree of the corresponding drain valve 21. A decision tree model is chosen as the basic architecture because it can intuitively present the "if-then" decision logic through a tree structure. For example, if the pressure difference change is greater than 0.08 MPa, then the opening degree is 30%. The optimal model parameters, such as tree depth, number of leaf nodes, and splitting criteria, are found through a grid search method. Finally, the optimal parameter combination is selected as the fixed parameters of the model. For example, the grid search found that when the tree depth is 7 layers and the number of leaf nodes is 30, the model performs well in fitting historical data. This is used to determine the model structure. The decision tree model is trained using a training set. Through repeated iterations, the model continuously adjusts the branching logic of the tree structure, gradually reducing the error between the predicted opening degree of drain valve 21 and the actual opening degree. After training, the test set is input into the model, and the accuracy of the prediction results is calculated. The accuracy reflects the model's performance index, and the preferred accuracy threshold is 0.8. If the accuracy reaches the accuracy threshold, the trained model is deemed capable of making accurate predictions and outputting the global optimal solution, and is thus designated as the opening model. If the accuracy does not meet the threshold, training continues until it exceeds or equals the accuracy threshold. When a filter signal with no historical records is encountered, indicating complex operating conditions, the filter signal is input into the trained opening model. The opening model then outputs the corresponding opening of the drain valve 21 based on learned patterns, flexibly adapting to complex and changing operating conditions. This ensures that the drain valve 21 removes impurities while minimizing condensate waste, providing intelligent support for the efficient operation of the system.

[0052] Understandably, the filtering signals and model output openings that appear in this new operating condition will be sent back to the cloud for continuous iterative optimization of the opening model, forming a virtuous cycle of data accumulation, model upgrade, and precise control.

[0053] In some embodiments of this application, when controlling the linkage of steam regulating valve 57 and temperature regulating valve 31 based on pressure data and condensate temperature data, the method includes: determining the safe range of collection chamber 47 and temperature and pressure regulating chamber 33, wherein the safe range is determined according to the pressure resistance level and process requirements of condensate tank 52; determining the correlation result of safe range, pressure data, condensate temperature data, opening range of steam regulating valve 57 and opening range of temperature regulating valve 31 based on association rule algorithm; and adjusting the opening of steam regulating valve 57 and temperature regulating valve 31 through PID linkage based on the correlation result.

[0054] Specifically, the safety ranges set for the collection chamber 47 and the temperature and pressure control chamber 33 are obtained. For example, the pressure of the collection chamber 47 is 0.2-0.5 MPa, the pressure of the temperature and pressure control chamber 33 is 0.1-0.3 MPa, the temperature of the collection chamber 47 is 65-95℃, and the temperature of the temperature and pressure control chamber 33 is 75-85℃. The specific safe operating parameter range (safety range) is determined according to the pressure resistance level and process requirements of the condensate tank 52. Association rule algorithms, such as the Apriori algorithm, are used to conduct in-depth analysis of the safety range, pressure data, condensate temperature data, the opening range of the steam regulating valve 57, and the opening range of the temperature control valve 31. This reveals the intrinsic relationship between pressure, temperature, the opening of the steam regulating valve 57, and the opening of the temperature control valve 31. First, the continuous values ​​of pressure data, temperature data, the opening of the steam regulating valve 57, and the opening of the temperature control valve 31 are discretized. Temperature is categorized into low temperature [<75℃], medium temperature [75-85℃], and high temperature [>85℃]. Next, combinations of parameters that occur simultaneously are identified. For example, when the pressure is 0.3MPa and the temperature is 80℃, the steam regulating valve 57 frequently corresponds to an opening of 40% and the temperature regulating valve 31 to an opening of 60%, thus generating association rules. For instance, if the pressure increases by 0.1MPa and the temperature decreases by 5℃, the steam regulating valve 57 increases its opening by 10% and the temperature regulating valve 31 increases its opening by 8%. These rules constitute the decision-making basis for valve linkage control. Based on the association results, a PID (proportional-integral-derivative) algorithm is used to coordinate the regulation of the steam regulating valve 57 and the temperature regulating valve 31. For example, when the pressure rises to 0.4MPa and the temperature drops to 78℃, the association rule algorithm determines that the steam regulating valve 57's opening is 50% and the temperature regulating valve 31's opening is 70%. The proportional term of the PID control adjusts rapidly proportionally based on the difference between the current opening and the target opening. For example, if the difference is 10%, the adjustment is 5%. The integral term accumulates historical errors to eliminate steady-state deviations, while the derivative term predicts the error change trend and acts in advance to suppress oscillations. This allows for precise control of the opening of the steam regulating valve 57 and the temperature regulating valve 31. Through data-driven intelligent linkage control, the stability of the linkage adjustment of the opening of the steam regulating valve 57 and the temperature regulating valve 31 under complex operating conditions is ensured, thus achieving a dual guarantee of safety and efficiency.

[0055] In some embodiments of this application, when determining whether to issue a leak warning based on the ultrasonic leak detection signal during the linkage process and uploading the operating data to the cloud, the process includes: PLC control cabinet 51 determining the signal spectrum of the ultrasonic leak detection signal through FFT transformation analysis, detecting the fluctuation amplitude, signal strength, and duration of the ultrasonic leak detection signal, and outputting the leakage probability of the fluctuation amplitude, signal strength, and duration based on fuzzy logic reasoning; when the leakage probability is greater than or equal to the leakage probability threshold, determining to issue a leak warning and uploading the abnormal operating data under the leak warning to the abnormal database in the cloud; when the leakage probability is less than the leakage probability threshold, determining not to issue a leak warning and uploading the operating data under normal conditions to the operating database in the cloud.

[0056] Specifically, the PLC control cabinet 51 receives the ultrasonic leak detection signal and converts the time-domain signal into a frequency-domain signal using FFT transformation, thereby determining the signal spectrum of the ultrasonic leak detection signal. Simultaneously, it extracts three key parameters: fluctuation amplitude (reflecting the dynamic range of the signal), signal strength (quantifying the energy level using RMS value), and duration (the duration of the signal, used to distinguish between short-term interference and continuous leakage). Fuzzy logic is a logical algorithm for handling uncertainty. Unlike traditional black-and-white binary logic, fuzzy logic allows propositions to have truth values ​​between 0 and 1. In the leak detection scenario, by defining fuzzy rules and membership functions, the three input variables—fluctuation amplitude, signal strength, and duration—are converted into membership degrees in a fuzzy set. The fluctuation amplitude is defined with three fuzzy levels: "low," "medium," and "high." The degree to which the current value belongs to each level is calculated using an S-shaped or trapezoidal membership function. For example, when the fluctuation amplitude is 100mV, it may belong to the "medium" level with a degree of 0.7 and to the "high" level with a degree of 0.3. Signal strength is similarly divided into three levels: "weak," "medium," and "strong." Duration is divided into three levels: "short," "medium," and "long." Multiple "IF-THEN" rules are established based on historical fluctuation amplitude, historical signal strength, and historical duration. For example: Rule 1, IF fluctuation amplitude = high, AND signal strength = strong, AND duration = long, THEN leakage probability = high; Rule 2, IF fluctuation amplitude = medium, AND signal strength = medium, AND duration = medium, THEN leakage probability = medium. The premise part (IF) of each rule is a fuzzy combination of multiple input variables, and the conclusion part (THEN) is the fuzzy level of leakage probability (e.g., "high," "medium," "low"). For the specific feature value of the current input, the activation strength of each rule is calculated to be equal to the minimum value of the membership degree of each input variable (determined using the minimum operator). For example, for rule 1, if the membership degree of "high" fluctuation amplitude is 0.3, the membership degree of "strong" signal strength is 0.8, and the membership degree of "long" duration is 0.6, then the activation intensity of this rule is min(0.3, 0.8, 0.6) = 0.3. For all activated rules, the fuzziness levels of their conclusion parts are weighted and aggregated according to the activation intensity to form the final fuzzy output set. This fuzzy output set is then converted into a specific leakage probability value (0-100%), usually determined by the centroid. The geometric centroid of the fuzzy output set is calculated, and the x-coordinate of the centroid is the final leakage probability. For example, if the calculated centroid position corresponds to 78%, then the leakage probability under the current operating condition is 78%.Ultrasonic signals are subject to many interference factors in real-world environments, while fuzzy logic allows for effective processing of inaccurate inputs. It considers three dimensions—fluctuation amplitude, signal strength, and duration—to avoid misjudgment based on a single parameter. By adjusting membership functions and rule weights, it can adapt to different operating conditions. The optimal leakage probability threshold is 85%. By comparing the obtained leakage probability with the leakage probability threshold, it dynamically determines whether to issue a leakage warning, ensuring accurate identification of potential leakage under complex operating conditions and guaranteeing the intelligence level and control reliability of the condensate recovery and treatment unit.

[0057] Understandably, when faced with abnormal situations (leakage probability greater than or equal to the leakage probability threshold), abnormal data (including signal spectrum and other data) is uploaded to the abnormal database in the cloud. When faced with normal situations, normal operating data is uploaded to the operating database in the cloud. This allows the cloud to independently store historical operating data, thereby supporting root cause analysis and model training, as well as accumulating normal operating data. This, in turn, optimizes control strategies and energy efficiency analysis, constructing a control closed loop of detection-decision-feedback, ensuring the stability and reliability of linkage control under different operating conditions.

[0058] In summary, the beneficial effects of this invention are as follows: By using a condensate level raising device to raise the condensate from the collection chamber into the temperature and pressure control chamber, the negative pressure differential suction head of the water pump inlet is changed to a positive pressure differential supply, ensuring that the water pump selected for skid-mounted equipment, which is limited by height, has sufficient net positive suction head (NPSH). Furthermore, through the synergistic effect of the level raising device and the flow guiding and pressurizing device, combined with real-time monitoring data from the pressure transmitter, the water pump inlet pressure environment is dynamically optimized, preventing liquid phase vaporization at the impeller, reducing pump noise, thereby extending the pump's service life and reducing equipment maintenance frequency. Relying on the filtration signal feedback from the high-level filter, the PLC control cabinet can dynamically adjust the opening of the drain valve, precisely controlling impurity discharge for different operating conditions, avoiding resource waste caused by fixed parameter discharge. Simultaneously, the high-level filter improves impurity interception efficiency, reduces the risk of water pump blockage, and ensures the stable operation of the condensate recovery and treatment unit. By using PLC to control the steam regulating valve and the temperature regulating valve in conjunction with pressure data and condensate temperature data to optimize the regulation strategy in real time, the system achieves efficient recovery of overloaded steam, flexibly responds to condensate recovery needs at different pressure levels, and improves the applicability and stability of the unit in complex industrial environments.

[0059] In another preferred embodiment based on the above embodiments, see [reference] Figure 2 As shown, this embodiment provides an intelligent control method for a condensate recovery and treatment unit, which applies the above-described intelligent control system for a condensate recovery and treatment unit, including:

[0060] S100: Acquires pressure data from the pressure transmitter, condensate temperature data from the temperature transmitter, filtration signal from the high-level filter, and ultrasonic leak detection signals from several steam traps.

[0061] S200: Controls the opening degree of several drain valves based on the filter signal.

[0062] S300: After controlling the opening of several drain valves, it controls the linkage of steam regulating valve and temperature regulating valve based on pressure data and condensate temperature data.

[0063] S400: During the linkage process, it determines whether to issue a leak warning based on the ultrasonic leak detection signal and uploads the operation data to the cloud.

[0064] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program goods. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program goods embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0065] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program goods according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0066] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0067] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0068] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. An intelligent control system for a condensate recovery and treatment unit, characterized in that, include: A monitoring component is installed in a condensate tank. The condensate tank is provided with a collection chamber and a temperature and pressure control chamber, which are connected. The monitoring component includes a pressure transmitter, a temperature transmitter, and several steam traps. The collection chamber is equipped with a low-pressure condensate inlet, a medium-pressure condensate inlet, a high-pressure condensate inlet, a safety valve, a pressure gauge assembly, a level riser, and several gate valves. The temperature and pressure control chamber is equipped with a high-level filter and a water-to-water heat exchanger. The high-level filter is equipped with a drain valve, which is connected to a drain collection port. The outlet of the water-to-water heat exchanger is equipped with a flow guiding and pressurizing device. The water-to-water heat exchanger is equipped with a temperature control valve, which is connected to the circulating water outlet of the heat exchanger. The outlet of the flow guiding and pressurizing device is connected to several water pumps and leads to the steam ejector through pipelines. The collection chamber is equipped with a steam ejector pipe, which is equipped with a steam flow meter, a regulating valve, a check valve and a steam regulating valve. The check valve is connected to the ejected port of the steam ejector. The PLC control cabinet is used to acquire pressure data from the pressure transmitter, condensate temperature data from the temperature transmitter, filtration signals from the high-level filter, and ultrasonic leak detection signals from several steam traps. Based on the filtration signals, it controls the opening of several drain valves. After controlling the opening of the drain valves, it controls the linkage of the steam regulating valve and the temperature regulating valve based on the pressure and condensate temperature data. During the linkage process, it determines whether to issue a leak warning based on the ultrasonic leak detection signals and uploads the operating data to the cloud.

2. The intelligent control system for a condensate recovery and treatment unit according to claim 1, characterized in that, The pressure transmitter is located in the collection chamber, the temperature transmitter is located in the temperature and pressure control chamber, and the plurality of steam traps include a high-pressure steam trap, a medium-pressure steam trap, and a low-pressure steam trap with wireless signal transmission for ultrasonic steam leak detection. The high-pressure steam trap is connected to the high-pressure condensate inlet, the medium-pressure steam trap is connected to the medium-pressure condensate inlet, and the low-pressure steam trap is connected to the low-pressure condensate inlet.

3. The intelligent control system for a condensate recovery and treatment unit according to claim 2, characterized in that, A remote level gauge is installed on the side of the collection chamber, and gate valves are installed at both ends of the remote level gauge. A local thermometer is installed in the temperature and pressure control chamber. The level lifting device is equipped with several guide shrouds and guide pipes. The inlet of each guide pipe is located below the liquid surface in the collection chamber. A butterfly valve is installed at the heat exchanger circulating water inlet of the water-to-water heat exchanger. The temperature control valve and the steam control valve are connected to the PLC control cabinet via signal lines.

4. The intelligent control system for a condensate recovery and treatment unit according to claim 3, characterized in that, The temperature and pressure control chamber is provided with a first exhaust pipe that passes through the temperature and pressure control chamber. The first exhaust pipe is equipped with a vent valve, and the gas from the first exhaust pipe is discharged through the sewage collection port. The collection chamber is provided with a second exhaust pipe that passes through the collection chamber. The second exhaust pipe is equipped with an automatic exhaust valve, and the automatic exhaust valve is connected to the sewage collection port.

5. The intelligent control system for a condensate recovery and treatment unit according to claim 4, characterized in that, The steam ejector is equipped with a shut-off valve, and the outlet of the steam ejector is equipped with a flow meter connected to the condensate outlet. Several water pumps, including water pump PA and water pump PB, are provided with pressure regulators at the outlets of water pump PA and water pump PB.

6. The intelligent control system for a condensate recovery and treatment unit according to claim 5, characterized in that, When controlling the opening degree of several drain valves based on the filter signal, the following is included: The PLC control cabinet is equipped with an opening model based on the historical operating data in the cloud. When the filter signal exists in the historical operating data in the cloud, the historical data corresponding to the filter signal is determined as the opening of several drain valves. When the filter signal does not exist in the historical operating data in the cloud, the opening of several drain valves is determined based on the filter signal and the opening model.

7. The intelligent control system for a condensate recovery and treatment unit according to claim 6, characterized in that, When determining the opening degree of several drain valves based on the filter signal and the opening degree model, the following steps are included: The historical operating data is acquired, and a model dataset is constructed based on the historical operating data. The model dataset is divided into a training set and a test set. A grid search is used to find the model parameters of the decision tree model and construct the decision tree model. The decision tree model is trained based on the training set, and the test set is substituted into the trained decision tree model to determine the prediction accuracy. When the accuracy is greater than or equal to the accuracy threshold, the currently trained decision tree model is determined as the opening model, and the filter signal is substituted into the opening model to determine the opening of several sewage valves. Otherwise, the decision tree model is trained again until the accuracy is greater than or equal to the accuracy threshold.

8. The intelligent control system for a condensate recovery and treatment unit according to claim 7, characterized in that, When controlling the linkage of the steam regulating valve and the temperature regulating valve based on the pressure data and condensate temperature data, the following are included: The safe range of the collection chamber and the temperature and pressure control chamber is determined, and the safe range is determined according to the pressure resistance level and process requirements of the condensate tank; The association results of the safety range, pressure data, condensate temperature data, steam control valve opening range and temperature control valve opening range are determined based on the association rule algorithm, and the opening of the steam control valve and temperature control valve is adjusted by PID linkage based on the association results.

9. The intelligent control system for a condensate recovery and treatment unit according to claim 8, characterized in that, During the linkage process, when determining whether to issue a leak warning based on the ultrasonic leak detection signal and uploading the operational data to the cloud, the following is included: The PLC control cabinet determines the signal spectrum of the ultrasonic leak detection signal through FFT transformation analysis, and detects the fluctuation amplitude, signal strength, and duration of the ultrasonic leak detection signal. Based on fuzzy logic reasoning, it outputs the leakage probability of the fluctuation amplitude, signal strength, and duration. When the leakage probability is greater than or equal to the leakage probability threshold, it determines to issue the leakage warning and uploads the abnormal operation data under the leakage warning to the abnormal database in the cloud. When the leakage probability is less than the leakage probability threshold, it determines not to issue the leakage warning and uploads the normal operation data to the operation database in the cloud.

10. An intelligent control method for a condensate recovery and treatment unit, used in applying the intelligent control system for a condensate recovery and treatment unit as described in any one of claims 1-9, characterized in that, include: Acquire pressure data from the pressure transmitter, condensate temperature data from the temperature transmitter, filtration signal from the high-level filter, and ultrasonic leakage detection signals from several steam traps. The opening degree of several drain valves is controlled based on the filter signal; After controlling the opening of several drain valves, the steam regulating valve and the temperature regulating valve are linked based on the pressure data and condensate temperature data. During the linkage process, the ultrasonic leak detection signal is used to determine whether to issue a leak warning and the operation data is uploaded to the cloud.

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