Intelligent control method and system for condensed water recovery processing unit

Abstract

The invention relates to the technical field of condensed water treatment, and discloses an intelligent control method and system for a condensed water recovery treatment unit, and the system comprises a monitoring assembly which comprises a pressure transmitter, a temperature transmitter and a plurality of drain valves, the collecting cavity is provided with a low-pressure condensed water inlet, a medium-pressure condensed water inlet, a high-pressure condensed water inlet, a safety valve, a pressure gauge assembly, a liquid level lifting device and a plurality of gate valves; the PLC control cabinet obtains pressure data of the pressure transmitter, condensed water temperature data of the temperature transmitter, filtering signals of the high-position filter and ultrasonic leakage detection signals of the drain valves, and controls the opening degree of the blow-down valves based on the filtering signals. And linkage of the steam regulating valve and the temperature control regulating valve is controlled based on the pressure data and the condensed water temperature data. The problem of cavitation caused by space limitation is solved, the control precision of the blow-down valve is ensured, and the linkage control stability of the steam regulating valve and the temperature control regulating valve is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of condensate water treatment, in particular to an intelligent control method and system for a condensate water recovery treatment unit. BACKGROUND

[0002] In the industrial production process, steam is widely used in power generation and chemical industry as an efficient heat carrier. After releasing heat, steam condenses to form condensate water, which has the characteristics of high temperature and high heat recovery rate. The condensate water recovery treatment unit is a device that collects, cools, and pressurizes condensate water and then sends it back to the heat exchanger. However, in the application process, especially in closed recovery systems with limited installation height, the condensate tank cannot be placed at a high position, causing insufficient net positive suction head of the water pump. When the water pump impeller rotates at high speed, the cavitation caused by the gasification of the liquid phase at the impeller causes the pump to produce loud noise and rapidly reduces its lifespan. Moreover, during the recovery process, the fine impurities in the condensate water can cause the pump to be blocked. The existing condensate water recovery treatment unit usually uses fixed parameters to control the blowdown valve to discharge impurities. It cannot handle different working conditions, causing waste of unit resources. In addition, when dealing with different working conditions, the existing control cannot link the steam regulating valve and the temperature control valve, resulting in the inability to recover and process overloaded steam, thereby affecting the recovery of water resources and heat energy.

[0003] Therefore, it is necessary to design an intelligent control method and system for a condensate water recovery treatment unit to solve the problems in the current technology. SUMMARY

[0004] In view of this, the present application provides an intelligent control method and system for a condensate water recovery treatment unit, aiming to solve the problem of insufficient net positive suction head caused by limited device arrangement and the lack of intelligent control of the condensate water recovery treatment unit under different working conditions.

[0005] The present application provides an intelligent control system for a condensate water recovery treatment unit, comprising:

[0006] A monitoring assembly is arranged in the condensate tank, the condensate tank is provided with a collection cavity and a temperature and pressure control cavity, the collection cavity and the temperature and pressure control cavity are communicated, and the monitoring assembly comprises a pressure transmitter, a temperature transmitter and a plurality of drain valves.

[0007] The collecting cavity is provided with a low-pressure condensate water inlet, a medium-pressure condensate water inlet, a high-pressure condensate water inlet, a safety valve, a pressure gauge assembly, a liquid level lifting device and a plurality of gate valves, the temperature and pressure control cavity is provided with a high-level filter and a water-water heat exchanger, the high-level filter is provided with a blowdown valve, the blowdown valve is connected to a blowdown collection port, the outlet of the water-water heat exchanger is provided with a flow guide pressure boosting device, the water-water heat exchanger is provided with a temperature control regulating valve, and the temperature control regulating valve and the steam regulating valve are connected to the PLC control cabinet through signal lines.

[0008] The outlet of the flow guide pressure boosting device is connected to a plurality of water pumps and is connected to a steam ejector through a pipeline, the collecting cavity is provided with a steam ejecting pipe, the steam ejecting pipe is provided with a steam flow meter, an adjusting valve, a check valve and a steam regulating valve, and the check valve is connected to the steam ejector.

[0009] The PLC control cabinet is used for acquiring pressure data of a pressure transmitter, condensate water temperature data of a temperature transmitter, a filter signal of a high-level filter and ultrasonic leakage detection signals of a plurality of drain valves; the opening degree of a plurality of blowdown valves is controlled based on the filter signal, after the opening degree of the plurality of blowdown valves is controlled, the steam regulating valve and the temperature control regulating valve are controlled based on the pressure data and the condensate water temperature data; whether to issue a leakage warning is judged based on the ultrasonic leakage detection signals in the linkage process, and operation data is uploaded to the cloud.

[0010] Further, the pressure transmitter is arranged in the collecting cavity, the temperature transmitter is arranged in the temperature and pressure control cavity, a plurality of drain valves include high-pressure drain valves, medium-pressure drain valves and low-pressure drain valves with steam ultrasonic leakage detection and wireless signal transmission, the high-pressure drain valves are connected to the high-pressure condensate water inlet, the medium-pressure drain valves are connected to the medium-pressure condensate water inlet, and the low-pressure drain valves are connected to the low-pressure condensate water inlet.

[0011] Further, a remote liquid level meter is arranged on the side of the collecting cavity, both ends of the remote liquid level meter are provided with the gate valves, the temperature and pressure control cavity is provided with an on-site thermometer, the liquid level lifting device is provided with a plurality of flow deflectors and flow guide pipes, the inlet of each flow guide pipe is arranged below the liquid surface of the collecting cavity, the heat exchanger circulating water inlet of the water-water heat exchanger is provided with a butterfly valve, and the temperature control regulating valve and the steam regulating valve are connected to the PLC control cabinet through signal lines.

[0012] Further, the inside of the temperature and pressure regulation cavity is provided with a first exhaust pipe penetrating through the temperature and pressure regulation cavity, the first exhaust pipe is provided with a gas release valve, and the gas of the first exhaust pipe is discharged through the exhaust collection port. The inside of the collection cavity is provided with a second exhaust pipe penetrating through the collection cavity, the second exhaust pipe is provided with an automatic exhaust valve, and the automatic exhaust valve is connected to the exhaust collection port.

[0013] Further, the steam ejector is provided with a stop valve, the outlet of the steam ejector is provided with a flow meter, the flow meter is connected to a condensate outlet, a plurality of water pumps include water pump P-A and water pump P-B, and the outlets of the water pump P-A and the water pump P-B are provided with pressure regulators.

[0014] Further, when controlling the opening degree of the plurality of exhaust valves based on the filtering signal, it includes:

[0015] The PLC control cabinet is provided with an opening degree model based on the historical operation data of the cloud. When the filtering signal exists in the historical operation data of the cloud, the historical data corresponding to the filtering signal is determined as the opening degree of the plurality of exhaust valves. When the filtering signal does not exist in the historical operation data of the cloud, the opening degree of the plurality of exhaust valves is determined based on the filtering signal and the opening degree model.

[0016] Further, when the opening degree of the plurality of exhaust valves is determined based on the filtering signal and the opening degree model, it includes:

[0017] The historical operation data is obtained, and a model data set is constructed according to the historical operation data. The model data set is divided into a training set and a test set. A decision tree model is constructed by using grid search to find the model parameters of the decision tree model. The decision tree model is trained according to the training set, and the test set is substituted into the trained decision tree model to determine the accuracy of the prediction. When the accuracy is greater than or equal to an accuracy threshold, the current trained decision tree model is determined as the opening degree model, and the filtering signal is substituted into the opening degree model to determine the opening degree of the plurality of exhaust valves. Otherwise, the decision tree model is continuously trained until the accuracy is greater than or equal to the accuracy threshold.

[0018] Further, when the linkage of the steam regulating valve and the temperature control regulating valve is controlled based on the pressure data and the condensate temperature data, it includes:

[0019] The safety range of the collection cavity and the temperature and pressure regulation cavity is determined, the association result of the safety range, the pressure data, the condensate temperature data, the opening degree range of the steam regulating valve, and the opening degree range of the temperature control regulating valve is determined based on the association rule algorithm, and the opening degree of the steam regulating valve and the temperature control regulating valve is adjusted by PID linkage based on the association result.

[0020] Further, in the linkage process, based on the ultrasonic leakage detection signal, it is judged whether to issue a leakage warning, and the operation data is uploaded to the cloud, including:

[0021] The PLC control cabinet determines the signal spectrum of the ultrasonic leakage detection signal through FFT transformation analysis, detects the fluctuation amplitude, signal strength and duration of the ultrasonic leakage detection signal, and outputs 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, it is determined to issue the leakage warning, and the abnormal operation data under the leakage warning is uploaded to the abnormal database in the cloud. When the leakage probability is less than the leakage probability threshold, it is determined not to issue the leakage warning, and the operation data under normal conditions is uploaded to the operation database in the cloud.

[0022] Compared with the prior art, the beneficial effects of the present application are that the condensate water in the collection cavity is lifted into the temperature and pressure control cavity by the condensate water level lifting device, the water pump inlet negative pressure difference suction range is changed to positive pressure difference liquid supply, so that the water pump selection in the skid-mounted device affected by the limited high has sufficient device NPSH, and through the synergistic effect of the liquid level lifting device and the flow guide booster device, combined with the real-time monitoring data of the pressure transmitter, the water pump inlet pressure environment is dynamically optimized, the liquid phase gasification at the impeller is avoided, the noise of the water pump is reduced, thereby prolonging the service life of the water pump and reducing the equipment maintenance frequency. Relying on the filtering signal feedback of the high-level filter, the PLC control cabinet can dynamically adjust the opening of the blowdown valve, accurately control the impurity discharge under different working conditions, avoid resource waste caused by fixed parameter blowdown, and at the same time, the high-level filter improves the impurity interception efficiency and reduces the risk of water pump blockage, thereby ensuring the stable operation of the condensate water recovery and treatment unit. Through the linkage control of the PLC on the steam regulating valve and the temperature control regulating valve, combined with the pressure data and the condensate water temperature data, the adjustment strategy is optimized in real time, the overloaded steam is efficiently recovered and treated, the condensate water recovery demand of different pressure grades is flexibly met, and the applicability and stability of the unit in complex industrial environments are improved.

[0023] On the other hand, the present application also provides an intelligent control method for a condensate water recovery and treatment unit, which is used for the above-mentioned intelligent control system for a condensate water recovery and treatment unit, including:

[0024] Obtaining pressure data of a pressure transmitter, condensate water temperature data of a temperature transmitter, filtering signals of a high-level filter, and ultrasonic leakage detection signals of a plurality of drain valves;

[0025] Controlling the opening of a plurality of blowdown valves based on the filtering signals;

[0026] controlling the steam regulating valve and the temperature control regulating valve based on the pressure data and the condensate temperature data after completing the opening degree control of the plurality of blowdown valves;

[0027] judging whether to issue a leakage warning based on the ultrasonic leakage detection signal in the linkage process, and uploading operation data to the cloud.

[0028] It can be understood that the above-mentioned intelligent control method and system for a condensate recovery treatment unit have the same beneficial effects, which will not be repeated here. BRIEF DESCRIPTION OF DRAWINGS

[0029] Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The accompanying drawings are included to provide a description of the preferred embodiments and are not intended to limit the scope of the application. Moreover, the same reference numerals are used throughout the various drawings to designate similar or equivalent parts. In the drawings:

[0030] Figure 1 a structure diagram of an intelligent control system for a condensate recovery treatment unit provided by an embodiment of the present application;

[0031] Figure 2 a flowchart of an intelligent control method for a condensate recovery treatment unit provided by an embodiment of the present application.

[0032] 1, condensate outlet; 2, flowmeter; 3, gate valve; 4, steam ejector; 5, stop valve; 7, pressure regulator; 9, check valve; 13, pressure gauge assembly; 14, water pump P-A; 15, water pump P-B; 20, regulating valve; 21, blowdown valve; 23, air release valve; 24, flow guide booster; 25, blowdown collection port; 27, water-water heat exchanger; 28, butterfly valve; 29, heat exchanger circulating water inlet; 30, heat exchanger circulating water outlet; 31, temperature control regulating valve; 32, high-level filter; 33, temperature and pressure control chamber; 34, temperature transmitter; 35, local thermometer; 36, safety valve; 38, liquid level lifting device; 39, high-pressure trap valve; 40, medium-pressure trap valve; 41, low-pressure trap valve; 42, low-pressure condensate water inlet; 43, medium-pressure condensate water inlet; 44, high-pressure condensate water inlet; 46, pressure transmitter; 47, collection chamber; 49, remote liquid level meter; 51, PLC control cabinet; 52, condensate tank; 55, automatic air release valve; 56, steam flowmeter; 57, steam regulating valve; 60, first air release pipe; 61, second air release pipe; 63, steam ejector pipe. DETAILED DESCRIPTION

[0033] Exemplary embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it is to be understood that the present disclosure can be embodied in various forms without being limited by the embodiments set forth herein. Rather, these embodiments are provided so that the present disclosure will be thorough and complete, and will fully convey the scope of the present disclosure to those skilled in the art. It is to be noted that the embodiments in the present disclosure and the features in the embodiments can be combined with each other without conflict. The present disclosure will be described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.

[0034] In some embodiments of the present application, referring to Figure 1 As shown in the drawings, an intelligent control system for a condensate water recovery treatment unit includes a monitoring assembly, the monitoring assembly is arranged in a condensate tank 52, the condensate tank 52 is provided with a collection cavity 47 and a temperature and pressure control cavity 33, the collection cavity 47 and the temperature and pressure control cavity 33 are communicated, the monitoring assembly includes a pressure transmitter 46, a temperature transmitter 34 and a plurality of drain valves, the collection cavity 47 is provided with a low-pressure condensate water inlet 42, a medium-pressure condensate water inlet 43, a high-pressure condensate water inlet 44, a safety valve 36, a pressure gauge assembly 13, a liquid level lifting device 38 and a plurality of gate valves 3, the temperature and pressure control cavity 33 is provided with a high-level filter 32 and a water-water heat exchanger 27, the high-level filter 32 is provided with a blowdown valve 21, and the blowdown valve 21 is connected to a blowdown collection port 25, the outlet of the water-water heat exchanger 27 is provided with a flow guide and pressure increasing device 24, the water-water heat exchanger 27 is provided with a temperature control and adjustment valve 31, the temperature control and adjustment valve 31 is connected to a heat exchanger circulating water outlet 30, the outlet of the flow guide and pressure increasing device 24 is connected to a plurality of water pumps and leads to a steam ejector 4 through a pipeline, the collection cavity 47 is provided with a steam ejecting pipe 63, the steam ejecting pipe 63 is provided with a steam flow meter 56, an adjustment valve 20, a check valve 9 and a steam adjustment valve 57, and the check valve 9 is connected to the induced port of the steam ejector 4, a PLC control cabinet 51 is used to obtain pressure data of the pressure transmitter 46, condensate water temperature data of the temperature transmitter 34, filtration signals of the high-level filter 32 and ultrasonic leakage detection signals of the plurality of drain valves; based on the filtration signals, the opening degrees of the plurality of blowdown valves 21 are controlled, after the opening degrees of the plurality of blowdown valves 21 are controlled, the steam adjustment valve 57 and the temperature control and adjustment valve 31 are controlled in linkage based on the pressure data and the condensate water temperature data; during the linkage process, whether to issue a leakage warning is judged based on the ultrasonic leakage detection signals, and operation data is uploaded to the cloud.

[0035] Specifically, due to the presence of multiple pressure gauge assemblies, multiple gate valves, multiple check valves, multiple blowdown valves and multiple pressure regulators in the drawings, the same function structure is numbered due to its consistent function. Several drain valves are used to monitor condensate water of different pressure levels, and the gate valve 3 is used to enable the condensate water recovery processing unit to accurately control the flow, so as to import the condensate water into the collection cavity 47 of the condensate water tank 52 according to the logic time or flow. For example, when the condensate water pressure fluctuates greatly, by adjusting various valves and cooperating with the pressure self-adaptive characteristics of the drain valve, the condensate water can be stably collected into the low-pressure condensate water inlet 42, the medium-pressure condensate water inlet 43 and the high-pressure condensate water inlet 44, avoiding the impact of instantaneous high pressure on the condensate water tank 52 and causing the tank body to be damaged. The safety valve 36 of the collection cavity 47 serves as a safety guarantee, which can ensure the safety of the pressure in different situations such as overpressure through the safety valve 36, and the digital display of the pressure gauge assembly 13 and the local thermometer 35 enables relevant personnel to quickly check the pressure and temperature of the collection cavity 47 during on-site inspection. The temperature transmitter 34 converts the acquired temperature signal into an electrical signal (condensate water temperature data) with an accuracy of ±0.5℃, and the pressure transmitter 46 converts the acquired pressure signal into an electrical signal (pressure data) with an allowable error range of ±0.05%, and the remote liquid level meter 49 sends the real-time liquid level to the PLC control cabinet 51, so that the PLC control cabinet 51 can read the liquid level information of the condensate water tank 52 in real time, thereby constructing a dual-dimensional monitoring system (pressure and temperature) and using the liquid level as auxiliary monitoring, so that the PLC control cabinet 51 can master the state of the condensate water tank 52 in real time, laying a foundation for the recovery of the condensate water recovery processing unit. The pipeline on the partition hole of the temperature and pressure regulation cavity 33 and the collection cavity 47 is provided with a high-level filter 32, which can filter to prevent impurities in the condensate water from causing the water pump to be blocked, and the high-level filter 32 is provided with a sensor to monitor the pressure difference before and after filtration in real time. Under normal circumstances, the pressure difference during normal operation is 0.02-0.05MPa, and when the pressure difference exceeds 0.1MPa, the blowdown logic is triggered, and the pressure difference signal (filtering signal) is output to the PLC control cabinet 51, and the opening degree of the blowdown valve 21 is intelligently adjusted by the PLC control cabinet 51. For example: when the pressure difference exceeds the threshold value due to impurities blocking, the blowdown valve 21 is increased by 20% of the opening degree gradient, and the timer is started at the same time. After 30 seconds of blowdown, if the pressure difference has not fallen, the opening degree of the blowdown valve 21 will be increased until the pressure difference returns to the normal range. In this way, different impurity concentrations and blockage degrees can be accurately responded to, and the blowdown valve 21 is connected to the blowdown collection port 25, so that the impurities are discharged through the blowdown collection port 25, avoiding the waste of resources caused by invalid blowdown or incomplete blowdown.The outlet of the water-water heat exchanger 27 is provided with a flow guide booster 24, a temperature control regulating valve 31 is connected to the heat exchanger circulating water outlet 30, and the outlet of the flow guide booster 24 is connected to a plurality of water pumps and leads to the steam ejector 4 through a pipeline. The pipeline from the flow guide booster 24 to the water pump inlet is compressed by multi-stage variable-diameter flow guide to compress the flow passage area, so as to ensure that the condensate water reaching the water pump inlet can reach the condition of micro-positive pressure, which is beneficial to prevent the occurrence of cavitation.

[0036] Specifically, the collection cavity 47 is provided with a liquid level lifting device 38, through which the condensate water in the collection cavity 47 can be lifted and introduced into the temperature and pressure control cavity 33, so as to change the negative pressure difference suction of the water pump inlet into a positive pressure difference liquid supply, so that the skid-mounted equipment affected by the limited height has sufficient net positive suction head when using the water pump, avoiding the problem that the cavitation caused by the gasification of the liquid phase at the impeller causes large noise and rapid decline of the service life of the pump. A steam ejector pipe 63 is arranged in the collection cavity 47, the steam ejector pipe 63 penetrates downward, and the steam ejector pipe 63 is provided with a gate valve 3, a steam flow meter 56, an adjusting valve 20, a check valve 9 and a steam regulating valve 57. The accuracy of the steam flow meter 56 can reach ±1%, so as to feedback the steam flow in real time. The PLC control cabinet 51 adjusts the opening increment in linkage through the pressure data of the pressure transmitter 46 and the condensate water temperature data of the temperature transmitter 34, and recovers the overload steam by using the steam ejector 4, so as to realize the dynamic balance of the heat load. The PLC control cabinet 51 uploads the real-time collected pressure data, condensate water temperature data, flow data, equipment state and liquid level condition data of the condensate water recovery treatment unit to the cloud at a unit minute interval. The system uses the differential pressure signal of the high-level filter 32 to accurately identify the blockage degree of impurities. For example, if rust impurities cause the differential pressure of the high-level filter 32 to rise slowly, or if large particle impurities cause the differential pressure to suddenly change, the system can adapt to different impurity conditions and reduce the frequency of maintenance due to blockage of the water pump. The temperature control regulating valve 31 is connected to the heat exchanger circulating water outlet 30, and is used to stabilize the condensate water temperature in the target range by dynamically adjusting the circulating water flow through the water-water heat exchanger 27. The steam regulating valve 57 and the temperature control regulating valve 31 are controlled in linkage by real-time monitoring of the pressure data and the condensate water temperature data by the PLC, so as to reduce the waste of resources and improve the heat energy recovery rate.

[0037] It can be understood that through accurate monitoring, intelligent control and digital management of the whole process, the problems of cavitation, blowdown and linkage control of the traditional condensate water recovery treatment unit are solved, and the energy recovery efficiency and intelligent level are improved while ensuring stable operation of the condensate water recovery treatment unit.

[0038] In some embodiments of the present application, the pressure transmitter 46 is arranged in the collection chamber 47, the temperature transmitter 34 is arranged in the temperature and pressure regulating chamber 33, and several drain traps include high-pressure drain traps 39 with steam ultrasonic leakage detection and wireless signal transmission, medium-pressure drain traps 40, and low-pressure drain traps 41, the high-pressure drain traps 39 are connected to the high-pressure condensate water inlet 44, the medium-pressure drain traps 40 are connected to the medium-pressure condensate water inlet 43, and the low-pressure drain traps 41 are connected to the low-pressure condensate water inlet 42.

[0039] Specifically, the pressure transmitter 46 is arranged at the top of the collection chamber 47, which captures the pressure changes of the collection chamber 47 and transmits them to the PLC control cabinet 51. During the operation of the steam ejector 4, the pressure signal is an important basis for calculating the opening degree of the steam regulating valve 57 to ensure that the system pressure is always maintained within a safe and efficient range. The temperature transmitter 34 is arranged at the top of the temperature and pressure regulating chamber 33, which is responsible for monitoring the temperature changes of the condensate water in the temperature and pressure regulating chamber 33. When the condensate water enters the water-water heat exchanger 27, the temperature transmitter 34 transmits the condensate water temperature data to the PLC control cabinet 51, which adjusts the temperature control regulating valve 31 by sending instructions to dynamically adjust the temperature changes of the temperature and pressure regulating chamber 33. During this adjustment process, the condensate water temperature data is not only used to optimize the heat exchange efficiency, but also combined with the data of the steam flow meter 56 to evaluate the effect of heat energy recovery. At the same time, it protects the condensate water recovery processing unit from overheating damage. Several drain traps include high-pressure drain traps 39 with steam ultrasonic leakage detection and wireless signal transmission, medium-pressure drain traps 40, and low-pressure drain traps 41. When the drain traps are working normally, the drain water will produce a specific frequency of sound waves, and when steam leakage occurs, the airflow will produce different frequency sound waves. These sound waves are detected by the drain traps to analyze the changes in these sound wave frequencies and accurately determine the leakage characteristics such as the leakage location and the leakage flow rate. The drain traps use LoRa wireless technology for data transmission, which has the characteristics of long-distance transmission and strong penetration, can easily penetrate metal tanks and concrete structures, and ensures stable signal transmission. Drain traps of different pressure levels can automatically adjust the opening pressure according to their own working pressure range to ensure normal operation under various working conditions. This pressure self-adaptive adjustment function makes the system compatible with condensate water recovery of different pressure levels, improving the versatility and adaptability of the condensate water recovery processing unit. In emergency situations, when a drain trap fails, the system can be operated for a short time by opening the bypass drain trap to avoid sudden start-stop damage to the condensate water tank 52. Through the cooperation of the three types of components: pressure transmitter 46, temperature transmitter 34, and drain traps, intelligent control of condensate water recovery processing is achieved, thereby reducing steam leakage, improving energy utilization efficiency, and reducing environmental impact.

[0040] In some embodiments of the present application, a remote liquid level meter 49 is arranged on the side of the collection chamber 47, and gate valves 3 are arranged at both ends of the remote liquid level meter 49. A local temperature meter 35 is arranged in the temperature and pressure control chamber 33. The liquid level lifting device 38 is provided with several flow guides and flow guides. The inlet of each flow guide is arranged below the liquid level of the collection chamber 47. The heat exchanger circulating water inlet 29 of the water-water heat exchanger 27 is provided with a butterfly valve 28. The temperature control regulating valve 31 and the steam regulating valve 57 are connected to the PLC control cabinet 51 through a signal line.

[0041] Specifically, the remote liquid level meter 49 is installed on the side of the collection cavity 47, and the gate valve 3 is arranged at both ends of the remote liquid level meter 49, so that the liquid level in the condensate tank 52 can be accurately measured and monitored in real time. The remote liquid level meter 49 converts the liquid level signal into an electrical signal, such as a 4-20 mA standard signal, and transmits it to the PLC control cabinet 51, so that the control system can dynamically master the liquid level change. When the remote liquid level meter 49 needs to be replaced or calibrated, the gate valve 3 can be closed to isolate the remote liquid level meter 49, avoiding system downtime. For example, in chemical production, when the liquid level exceeds 80% of the upper limit, the PLC control cabinet 51 triggers an alarm and automatically reduces the input of condensate water. When the liquid level is lower than 20% of the lower limit, the water pump is started to supplement water, ensuring the safe operation of the system. The on-site thermometer 35 arranged in the temperature and pressure control cavity 33 is mainly used for the on-site operator to intuitively read the temperature in the temperature and pressure control cavity 33, and is complementary to the remote monitoring of the temperature transmitter 34. In actual operation, the on-site thermometer 35 can display the temperature of the water-water heat exchanger 27 in real time, which is convenient for the operator to quickly judge the heat exchange effect. The water-water heat exchanger 27 increases the contact time of condensate water and cooling water, thereby realizing accurate heat exchange temperature control. Through cooling water heat exchange, the temperature of the saturated steam condensate water is reduced, so that the temperature of the saturated steam condensate water produces a supercooling condition, further solving the problem of impeller cavitation caused by the micro-negative pressure at the inlet of the water pump. A plurality of through holes are arranged on the partition plate between the collection cavity 47 and the temperature and pressure control cavity 33, and a water collecting steel pipe is arranged on each through hole. Each water collecting steel pipe is connected to the liquid level lifting device 38. The liquid level lifting device 38 is provided with a plurality of flow deflectors and flow guide pipes. The inlet of the flow guide pipe is arranged below the condensate water liquid level of the collection cavity 47. By utilizing fluid dynamics to form a pressure difference, the condensate water is smoothly guided into the pump body, avoiding the phenomenon of cavitation. At the same time, the inlet of the flow guide pipe is located below the liquid level, which can avoid the suction of air, ensuring the operation efficiency and stability of the water pump. The heat exchanger circulating water inlet 29 of the water-water heat exchanger 27 is provided with a butterfly valve 28, which is mainly used for quickly adjusting the circulating water flow during system startup. The temperature control adjusting valve 31 adjusts based on the feedback signal of the temperature transmitter 34 during the working process, ensuring the operation stability of the condensate water recovery and treatment unit under different working conditions. The temperature control adjusting valve 31 and the steam adjusting valve 57 are connected with the PLC control cabinet 51 through signal lines, forming a complete closed-loop control system. The PLC makes logical operation and decision based on the pressure transmitter 46 and the temperature transmitter 34. For example, when the pressure rises and the temperature drops, the PLC judges that the steam entrainment is insufficient, and automatically increases the opening of the steam adjusting valve 57. At the same time, the start and stop of the water pump is adjusted according to the liquid level change. This intelligent control realizes the cooperative work of each component of the system, improves the condensate water recovery efficiency and the stability of the system.

[0042] In some embodiments of the present application, the inside of the temperature and pressure regulation cavity 33 is provided with a first exhaust pipe 60, the first exhaust pipe 60 penetrates the temperature and pressure regulation cavity 33, the first exhaust pipe 60 is provided with a gas release valve 23, and the gas of the first exhaust pipe 60 is discharged through the pollution collection port 25. The inside of the collection cavity 47 is provided with a second exhaust pipe 61, the second exhaust pipe 61 penetrates the collection cavity 47, the second exhaust pipe 61 is provided with an automatic exhaust valve 55, and the automatic exhaust valve 55 is connected to the pollution collection port 25.

[0043] Specifically, the first exhaust pipe 60 and the second exhaust pipe 61 are the key to solving gas accumulation and ensuring efficient operation of the system. The first exhaust pipe 60 penetrates the temperature and pressure regulation cavity 33 and is provided with a gas release valve 23 and discharges gas through the pollution collection port 25. During the heat exchange of condensed water, non-condensable gases such as oxygen and carbon dioxide are released and accumulated in the temperature and pressure regulation cavity 33, thereby reducing the heat exchange efficiency. The first exhaust pipe 60 regularly discharges these gases through the gas release valve 23 to maintain the pressure stability of the temperature and pressure regulation cavity 33. The second exhaust pipe 61 penetrates the collection cavity 47 and is equipped with an automatic exhaust valve 55, the outlet is also connected to the pollution collection port 25, and the automatic exhaust valve 55 can monitor the gas content in the collection cavity 47 in real time. When the gas accumulates to a certain extent (such as the liquid level drops to expose the exhaust port), the automatic exhaust valve 55 opens and discharges the gas. Due to the large temperature change during the heat exchange process, the gas will expand to a certain extent. The gas release valve 23 is periodically opened according to the setting, such as 10 seconds of exhaust every 30 minutes. The automatic exhaust valve 55 of the collection cavity 47 responds dynamically based on the liquid level change. The two exhausts eventually converge to the pollution collection port 25 for centralized treatment of the discharged gas, achieving the requirements of resource recycling and environmental protection.

[0044] In some embodiments of the present application, the steam ejector 4 is provided with a stop valve 5, the outlet of the steam ejector 4 is provided with a flow meter 2, the flow meter 2 is connected to the condensed water outlet 1, and the plurality of water pumps include a water pump P-A 14 and a water pump P-B 15. The outlets of the water pump P-A 14 and the water pump P-B 15 are provided with pressure regulators 7.

[0045] Specifically, the outlet of the steam ejector 4 is provided with a flow meter 2 connected to the condensate water outlet 1, a gate valve 3 is arranged in front of the water pump P-A 14 and the water pump P-B 15, the outlet of the water pump P-A 14 is connected with a check valve 9, the gate valve 3 and a pressure regulator 7, and then connected to the gate valve 3 of the steam ejector 4, a pressure gauge assembly 13 is installed on the outlet pipeline of the water pump P-A 14, the outlet of the water pump P-B 15 is connected with a check valve 9, a gate valve 3 and a pressure regulator 7, and then connected to the gate valve 3 of the steam ejector 4, and a pressure gauge assembly 13 is also installed on the outlet pipeline of the water pump P-B 15, the pressure regulator 7 arranged at the outlet of each water pump is used to stabilize the pressure output by the water pump within a normal working range, so as to avoid pressure impact caused by working condition fluctuation of the water pump (such as speed change and inlet pressure fluctuation). When the water pump is running, the outlet pressure may fluctuate instantaneously due to factors such as condensate tank 52 liquid level and impeller wear, and downstream equipment such as the steam ejector 4 has strict requirements on the inlet pressure. When the dual-pump switching is instantaneous, the pressure regulator 7 can quickly buffer the superimposed pressure, avoid pipeline vibration or leakage caused by sudden pressure rise, ensure that the steam ejector 4 is not affected by pressure fluctuation, and solve the problem that the water pump is affected by the pressure fluctuation of the condensate water recovery pipe network and affects the energy efficiency. The pressure regulator 7 can also meet the condition that the water pump is unattended and in a self-starting state, and always keeps the current overload-free. The dual-pump configuration of the water pump P-A 14 and the water pump P-B 15 is adopted in a one-for-one backup or parallel operation mode. For example, in a low load working condition (when the condensate water recovery amount is small), only the water pump P-A 14 is started to meet the basic conveying demand, and when the load increases (the high-pressure condensate water inlet 44 suddenly increases the flow), the PLC control cabinet 51 automatically starts the water pump P-B 15 according to the signals of the remote liquid level meter 49 and the flow meter 2, and the dual-pump parallel operation is adopted to increase the total output, so as to avoid single-pump overload. If the water pump P-A 14 is stopped due to mechanical failure, the PLC control cabinet 51 can quickly switch to the water pump P-B 15 operation to ensure uninterrupted condensate water conveying. The working of these components is as follows: the water pump P-A 14 and / or the water pump P-B 15 provide stable pressure for the steam ejector 4 through the pressure regulator 7, the steam ejector 4 performs pressure boosting under the premise of safety ensured by the stop valve 5, and the flow meter 2 monitors the output flow in real time and feeds back to the PLC control cabinet 51, which then adjusts the steam injection amount and the water pump operation mode (single pump / dual pump) in linkage, so as to finally realize accurate output of the condensate water under the double parameters of flow and pressure, and ensure efficient recovery of heat energy and water resources.

[0046] In some embodiments of the present application, when controlling the opening degree of the plurality of blowdown valves 21 based on the filter signal, the PLC control cabinet 51 is provided with an opening degree model based on cloud-based historical operation data. When the filter signal exists in the cloud-based historical operation data, the historical data corresponding to the filter signal is determined as the opening degree of the plurality of blowdown valves 21. When the filter signal does not exist in the cloud-based historical operation data, the opening degree of the plurality of blowdown valves 21 is determined based on the filter signal and the opening degree model.

[0047] Specifically, when the high-level filter 32 generates a filter signal (a pressure difference change caused by impurity accumulation), the PLC control cabinet 51 first calls the cloud-stored historical operation data for matching. If the current filter signal (such as a specific pressure difference value at a certain pressure level) has a record in the historical operation data, it means that the system has experienced the same working condition. At this time, the historical data (historical blowdown valve 21 opening degree) corresponding to the filter signal is directly called without the need for recalculation to perform adjustment operation, thereby quickly responding to known working conditions and reducing the consumption of PLC computing power. For example, when the fine rust carried by the low-pressure condensate causes the pressure difference of the high-level filter 32 to reach 0.08 MPa, if the historical data shows that the blowdown valve 21 opening degree corresponding to the signal is 25% to remove impurities, the PLC control cabinet 51 directly executes the instruction according to this parameter, avoiding repeated debugging and wasting resources. If the current filter signal is a new working 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 starts the built-in opening degree model for calculation. The model generates an adaptive opening degree scheme based on the analysis of historical operation data, for example, when detecting that the pressure difference suddenly rises from 0.03 MPa to 0.12 MPa within 10 seconds and the liquid level drops at an abnormal rate, the opening degree model automatically calculates the operation parameter of the blowdown valve 21 opening degree as 60% to ensure the discharge of impurities. At the same time, the filter signal of this new working condition and the corresponding opening degree parameter are recorded and uploaded to the cloud for updating the historical operation data, providing a reference for subsequent similar working conditions, forming a closed loop of data accumulation - model optimization - precise control.

[0048] It can be understood that by utilizing historical experience to quickly respond to routine working conditions and by calculating the opening degree model to adapt to complex working conditions, the limitations of traditional fixed parameter control are avoided. In cooperation with devices such as water pumps and steam ejectors 4, the condensate water and heat energy loss can be reduced while efficiently blowing down, further improving the intelligent degree and stability of the condensate water recovery and treatment unit.

[0049] In some embodiments of the present application, when determining the opening degree of the plurality of blowdown valves 21 based on the filtered signal and the opening degree model, the method comprises: obtaining historical operation data, and constructing a model data set according to the historical operation data; dividing the model data set into a training set and a test set; using a grid search to find model parameters of a decision tree model to construct the decision tree model; training the decision tree model according to the training set; and substituting the test set into the trained decision tree model to determine the accuracy of the prediction; when the accuracy is greater than or equal to an accuracy threshold, the current trained decision tree model is determined as the opening degree model, and the filtered signal is substituted into the opening degree model to determine the opening degree of the plurality of blowdown valves 21; otherwise, the decision tree model is continuously trained until the accuracy is greater than or equal to the accuracy threshold.

[0050] Specifically, historical operation data is extracted from the cloud or a manually recorded database, which contains two core pieces of information: input features and output labels. The input features represent the operation of the condensate recovery processing unit, including the differential pressure change of the high-level filter 32, the condensate level fluctuation amplitude, and the temperature change, etc. The output labels represent the opening parameter of the blowdown valve 21, such as the opening percentage, when dealing with these input features. The entire historical operation data forms a complete model data set. The constructed model data set is divided into a training set and a test set in a certain proportion, such as 7:3. The training set is used to let the model learn the association rule between the filtering signal and the opening of the blowdown valve 21, and the test set is used to test the generalization ability of the model, i.e., the prediction accuracy of unseen data, to ensure that it can still work stably under new working conditions. For example, 70% of the historical samples are used to train the model, and the remaining 30% of the samples simulate new working conditions to verify whether the model can correctly predict the opening of the blowdown valve 21. The decision tree model is selected as the basic architecture because it can intuitively present the "if-then" decision logic through the tree structure, such as: if the differential pressure change is greater than 0.08 MPa, then the opening is 30%. The grid search method is used to find the optimal model parameters, such as the depth of the tree, the number of leaf nodes, and the splitting criteria, etc. Finally, the optimal parameter combination is selected as the fixed parameters of the model. For example, through grid search, it is found that when the depth of the tree is 7 layers and the number of leaf nodes is 30, the fitting effect of the model on the historical data is good, which determines the model structure. The decision tree model is trained with the training set. The model adjusts the branch logic of the tree structure through repeated iterations, so that the error between the predicted opening of the blowdown valve 21 and the actual opening gradually decreases. After training is completed, the test set is input into the model to calculate the accuracy of the prediction result. The accuracy reflects the performance indicators of the model, and the accuracy threshold is preferably 0.8. If the accuracy reaches the accuracy threshold, it is determined that the trained model can accurately predict and output the global optimal solution, and it is determined as the opening model. If it does not meet the standard, the model continues to be trained until it meets the requirement of greater than or equal to the accuracy threshold. When encountering a filtering signal without historical records, indicating a complex working condition, the filtering signal is input into the trained opening model, which outputs the opening of the blowdown valve 21 according to the learned rules, thereby flexibly adapting to complex and variable working conditions, ensuring that the blowdown valve 21 can remove impurities while minimizing the waste of condensate, and providing intelligent support for the efficient operation of the system.

[0051] It can be understood that the filtering signal in the new working condition and the opening output by the model will be fed back to the cloud for continuous iterative optimization of the opening model, forming a virtuous cycle of data accumulation-model upgrading-precise control.

[0052] In some embodiments of the present application, in the linkage control of the steam regulating valve 57 and the temperature control valve 31 based on the pressure data and the condensate temperature data, the linkage control includes: determining the safety range of the collection chamber 47 and the temperature-pressure control chamber 33, determining the association result of the safety range, the pressure data, the condensate temperature data, the opening range of the steam regulating valve 57 and the opening range of the temperature control valve 31 based on the association rule algorithm, and adjusting the opening of the steam regulating valve 57 and the temperature control valve 31 based on the association result by the PID linkage.

[0053] Specifically, the safety range of the collection chamber 47 and the temperature-pressure control chamber 33 is obtained, for example, the pressure of the collection chamber 47 is 0.2-0.5 MPa, the pressure of the temperature-pressure control chamber 33 is 0.1-0.3 MPa, the temperature of the collection chamber 47 is 65-95℃, the temperature of the temperature-pressure control chamber 33 is 75-85℃, etc. The specific safe operation parameter interval (safety range) is determined according to the pressure resistance level of the condensate tank 52 and the process requirements. The safety range, the pressure data, the condensate temperature data, the opening range of the steam regulating valve 57 and the opening range of the temperature control valve 31 are analyzed in depth by using the association rule algorithm, such as the Apriori algorithm, to mine the internal relationship between the pressure, the temperature, the opening of the steam regulating valve 57 and the opening of the temperature control valve 31. First, the continuous values such as the pressure data, the temperature data, the opening of the steam regulating valve 57 and the opening of the temperature control valve 31 are discretized, for example, the temperature is divided into low temperature [<75℃], medium temperature [75-85℃] and high temperature [>85℃]. Then, the parameter combinations that appear at the same time are found out, for example, when the pressure is 0.3 MPa, the temperature is 80℃, the opening of the steam regulating valve 57 is 40% and the opening of the temperature control valve 31 is 60%. Thus, the association rules are generated, such as IF the pressure rises by 0.1 MPa and the temperature drops by 5℃, then the opening of the steam regulating valve 57 rises by 10% and the opening of the temperature control valve 31 rises by 8%. These rules constitute the decision basis for the linkage control of the valves. Based on the association result, the PID (proportion-integration-differentiation) algorithm is used to cooperatively adjust the steam regulating valve 57 and the temperature control valve 31, for example, when the pressure rises to 0.4 MPa and the temperature drops to 78℃, the opening of the steam regulating valve 57 is 50% and the opening of the temperature control valve 31 is 70% according to the association rule algorithm. The proportion term of the PID control is adjusted quickly in proportion to the difference between the current opening and the target opening, for example, if the difference is 10%, then the adjustment is 5%. The integral term accumulates the historical error to eliminate the steady-state deviation. The differential term predicts the error trend to act in advance to suppress oscillation. Thus, the opening of the steam regulating valve 57 and the temperature control valve 31 is accurately controlled. Through the intelligent linkage control driven by data, the stability of the linkage control of the opening of the steam regulating valve 57 and the temperature control valve 31 under complex working conditions is ensured, thereby realizing the dual protection of safety and efficiency.

[0054] In some embodiments of the present application, in the linkage process, it is judged whether to issue a leakage warning based on the ultrasonic leakage detection signal, and the running data is uploaded to the cloud, including: the PLC control cabinet 51 determines the signal spectrum of the ultrasonic leakage detection signal through FFT transform analysis, and detects the fluctuation amplitude, signal strength and duration of the ultrasonic leakage detection signal, outputs 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, it is determined to issue a leakage warning, and the abnormal running data under the leakage warning is uploaded to the abnormal database in the cloud, when the leakage probability is less than the leakage probability threshold, it is determined not to issue a leakage warning, and the running data under normal circumstances is uploaded to the running database in the cloud.

[0055] Specifically, the PLC control cabinet 51 receives the ultrasonic leakage detection signal, converts the time domain signal to the frequency domain signal through FFT transform, thereby determining the signal spectrum of the ultrasonic leakage detection signal, and extracting three key parameters, the fluctuation amplitude: reflecting the dynamic change range of the signal, the signal strength: quantifying the energy size through the RMS value, and the duration: the continuation time length of the signal, used to distinguish between temporary interference and persistent leakage. Fuzzy logic is a kind of logic algorithm for handling uncertainty, which is different from traditional binary logic of black or white. Fuzzy logic allows propositions to have a true value between 0 and 1. In the leakage detection scene, by defining fuzzy rules and membership functions, the fluctuation amplitude, signal strength and duration of the three input variables are converted into the membership degree in the fuzzy set. The fluctuation amplitude defines three fuzzy levels of "low", "medium" and "high", and the degree of the current value belonging to each level is calculated by S-shaped or trapezoidal membership function. For example, when the fluctuation amplitude is 100mV, the degree of belonging to "medium" is 0.7, and the degree of belonging to "high" is 0.3. The signal strength is similarly divided into three levels of "weak", "medium" and "strong", and the duration is divided into "short", "medium"

[0056] “long” three levels, based on historical fluctuation amplitude, historical signal strength and historical duration to establish multiple sets of “IF-THEN” rules, 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 the fuzzy combination of multiple input variables, and the conclusion part (THEN) is the fuzzy level of the leakage probability (such as “high”, “medium”, “low”). For specific characteristic values of the current input, the activation strength of each rule is equal to the minimum value of the membership degrees of the input variables (determined by 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 strength of the rule is min(0.3, 0.8, 0.6) = 0.3. For all activated rules, the fuzzy levels of the conclusion parts are aggregated by weighting according to the activation strength to form the final fuzzy output set. Finally, the fuzzy output set is converted into a specific leakage probability value (0-100%), which is usually determined by the barycenter. The abscissa of the barycenter is the final leakage probability. For example, the barycenter position corresponds to 78% through calculation, which means that the leakage probability under the current working condition is 78%. Ultrasonic signals are disturbed by many factors in the actual environment. Fuzzy logic allows effective processing of inaccurate inputs, considers fluctuation amplitude, signal strength, and duration in three dimensions, avoids misjudgment of a single parameter, and adjusts membership functions and rule weights to adapt to different working conditions. The leakage probability threshold is preferably 85%. By comparing the obtained leakage probability with the leakage probability threshold, it is determined whether to issue a leakage warning, ensuring accurate identification of leakage hazards under complex working conditions and ensuring the intelligence and reliability of the condensate recovery processing unit.

[0057] It can be understood that when facing abnormal situations (leakage probability greater than or equal to leakage probability threshold), the abnormal data (including signal spectrum data) are uploaded to the cloud-side abnormal database, and when facing normal situations, the running data under normal situations are uploaded to the cloud-side running database, so that the cloud-side independently stores historical running data, thereby supporting root cause analysis and model training, accumulating normal running data, optimizing control strategy and energy efficiency analysis, and constructing a detection-decision-feedback control closed loop, ensuring the stability and reliability of the linkage control under different working conditions.

[0058] In summary, the application has the beneficial effects that: the condensate water in the collection cavity is lifted into the temperature and pressure control cavity by the condensate water level lifting device, the water pump inlet negative pressure difference suction range is changed into a positive pressure difference liquid supply, the water pump in the pry-mounted device affected by the limited high has sufficient device net positive suction head, and through the synergistic effect of the liquid level lifting device and the flow guide booster device, combined with the real-time monitoring data of the pressure transmitter, the water pump inlet pressure environment is dynamically optimized, the liquid phase gasification at the impeller is avoided, the noise of the water pump is reduced, the service life of the water pump is prolonged, and the equipment maintenance frequency is reduced. Relying on the filtering signal feedback of the high-level filter, the opening of the blowdown valve can be dynamically adjusted by the PLC control cabinet, the impurity discharge can be accurately controlled under different working conditions, the waste of resources caused by fixed parameter blowdown is avoided, the high-level filter improves the impurity interception efficiency and reduces the risk of water pump blockage, and the stable operation of the condensate water recovery and treatment unit is ensured. Through the linkage control of the steam regulating valve and the temperature control regulating valve by the PLC, combined with the pressure data and the condensate water temperature data, the adjustment strategy is optimized in real time, the efficient recovery and treatment of overload steam is realized, the condensate water recovery demand of different pressure grades is flexibly coped with, and the applicability and stability of the unit in complex industrial environments are improved.

[0059] In another preferred mode based on the above embodiment, referring to Figure 2 The present embodiment provides an intelligent control method for a condensate water recovery and treatment unit, which is used in the intelligent control system for the condensate water recovery and treatment unit, and includes the following steps:

[0060] S100: acquiring pressure data of a pressure transmitter, condensate water temperature data of a temperature transmitter, filtering signals of a high-level filter, and ultrasonic leakage detection signals of a plurality of drain valves.

[0061] S200: controlling the opening of a plurality of blowdown valves based on the filtering signals.

[0062] S300: after the opening control of the plurality of blowdown valves is completed, linkage control of a steam regulating valve and a temperature control regulating valve is performed based on the pressure data and the condensate water temperature data.

[0063] S400: determining whether to issue a leakage warning based on the ultrasonic leakage detection signals during the linkage process, and uploading operation data to the cloud.

[0064] Those skilled in the art will appreciate that the embodiments of the present application can be provided as a method, a system or a computer program product. Therefore, the present application can be in the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can be in the form of a computer program product implemented 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] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0066] These computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0067] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0068] Finally, it should be noted that the above-mentioned embodiments are merely intended for describing the technical solutions of the present application, but not for limiting thereof. Although the present application is described in detail with reference to the above embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or equivalent replaced without departing from the spirit and scope of the present application, and any modification or equivalent replacement without departing from the spirit and scope of the present application should be covered in the protection scope of the claims of the present application.

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. Based on the association rule algorithm, the association results of the safe range, pressure data, condensate temperature data, steam control valve opening range and temperature control valve opening range are determined. Based on the association results, the opening of the steam control valve and the temperature control valve is adjusted by PID linkage.

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 leakage detection signal through FFT transformation analysis, and detects the fluctuation amplitude, signal strength, and duration of the ultrasonic leakage 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.

Images