Spray washing tower with built-in intelligent backwashing cleaning function

Abstract

The invention relates to a spray scrubbing tower with a built-in intelligent backwashing function, and aims to improve the industrial waste gas treatment efficiency and reduce the equipment maintenance cost, the spray scrubbing tower comprises a monitoring module, a control module, an execution module, an adjustment module and an analysis module, all the modules are connected with one another through data links to form a closed-loop control system, and the monitoring module is connected with the control module. Compared with the prior art, manual intervention is remarkably reduced, the cleaning efficiency is improved, the use amount of a backwashing medium is reduced, and the device has good economic benefits and environmental adaptability and is suitable for various industrial waste gas treatment occasions.

Description

Technical Field

[0001] The invention relates to a spray washing tower with a built-in intelligent backwashing cleaning function. Background Art

[0002] Spray scrubbers are important equipment for gas purification and are widely used in waste gas treatment, chemical industry, metallurgy and other fields. Their working principle is to absorb or precipitate pollutants in the gas by spraying liquid in contact with the gas containing pollutants, thereby purifying the gas. With the increasing complexity of industrial emission gases, the working efficiency and stability of spray scrubbers have become a key issue. Especially during long-term operation, the internal pipes, nozzles and filter components of the spray scrubber are prone to blockage due to the accumulation of pollutants, resulting in increased system pressure and decreased flow, which in turn reduces purification efficiency and increases equipment maintenance costs.

[0003] Traditional spray scrubber cleaning methods mostly rely on manual periodic cleaning or simple automatic backwashing systems. These systems usually start backwashing operations based on fixed time cycles or preliminary pressure monitoring. However, this model has the following problems:

[0004] Traditional systems can often only perform cleaning at preset time intervals or when the pressure reaches a certain threshold. They cannot be dynamically adjusted according to the actual blockage situation, which may lead to too frequent or untimely cleaning, affecting equipment efficiency. Due to the lack of specificity, the traditional backwashing system cannot optimize the settings of cleaning pressure, flow and time according to actual operating conditions, which may lead to inadequate cleaning, especially in local areas of the nozzle or when the pressure fluctuates frequently, the cleaning effect is not ideal. Traditional backwashing systems cannot adjust the usage of cleaning media according to actual needs, which often results in waste of resources such as water and energy, and increases operating costs.

[0005] Therefore, technical personnel in this field need a spray washing tower with built-in intelligent backwashing cleaning function that uses a dynamic algorithm to determine the optimal time and specific parameters for backwashing. The introduction of this technology can achieve accurate and intelligent cleaning of the interior of the spray washing tower, reduce equipment blockage problems, and improve the long-term operating efficiency of the spray washing tower. Summary of the invention

[0006] The purpose of the present invention is to solve the deficiencies of the above prior art and provide a spray washing tower with built-in intelligent backwashing cleaning function, aiming to solve the problems of low cleaning efficiency, untimely cleaning and waste of resources in the prior art. The present invention realizes intelligent backwashing operation inside the spray washing tower by introducing various modules to work together, thereby improving the equipment operation efficiency, reducing maintenance costs and extending the service life of the equipment. The following is a specific solution:

[0007] On the one hand, a spray washing tower with built-in intelligent backwash cleaning function includes a monitoring module, a control module, an execution module, an adjustment module and an analysis module, wherein the monitoring module is used to collect various operating parameters in a fluid processing system in real time; the control module is communicated with the monitoring module, and is used to generate a cleaning operation control signal according to the operating parameters, and the control module includes a processing unit, and the processing unit dynamically determines the cleaning conditions based on a preset algorithm or an adaptive algorithm and triggers the cleaning operation; the execution module is used to receive the cleaning operation control signal of the control module and perform the corresponding cleaning operation, and the execution module cleans the spray washing tower by adjusting the fluid parameters; the adjustment module is used to adjust the flow, pressure and composition of the cleaning medium, and the adjustment module adjusts the cleaning parameters according to the instructions of the control module; the analysis module is communicated with the control module, and is used to perform an in-depth analysis of the operating data provided by the monitoring module, and generate a dynamic cleaning strategy based on the analysis, and the strategy includes the optimization of the cleaning frequency, cleaning intensity and cleaning duration.

[0008] The monitoring module is designed to monitor the key operating parameters within the fluid treatment system in real time. These parameters include pressure, flow, blockage and other operating data, especially the flow velocity offset and pressure difference fluctuation in the local area of ​​the nozzle. These parameters can effectively reflect the working status and possible blockage problems inside the spray scrubber. The distributed monitoring feedback function of the monitoring module can ensure that the key areas of the spray scrubber are monitored in real time, and local problems that may cause blockages can be discovered and dealt with in a timely manner. The setting of this module enables the spray scrubber to adjust the cleaning strategy in real time according to the actual operating conditions, rather than relying on a preset fixed cleaning time, thereby achieving more precise cleaning control.

[0009] The control module is the core module of the present invention, which is used to calculate and generate the control signal of the cleaning operation according to the parameters collected by the monitoring module. The module dynamically determines the cleaning conditions through a preset algorithm or an adaptive algorithm, and generates a backwashing control vector to trigger the cleaning operation; the control module in the present invention adopts a mathematical model based on the flow rate offset and the pressure difference fluctuation, and analyzes the backwashing demand matrix through the following formula: 需求 (t) = α Q ·ΔQ(t)+α P ·ΔP(t), the introduction of this demand matrix solves the problem of judging when to perform the cleaning operation and the intensity of the cleaning demand. It can calculate the best cleaning time and parameters according to the actual status of the equipment, avoiding the problem of cleaning too early or too late in the traditional system, thereby improving the cleaning efficiency.

[0010] The execution module is responsible for executing the cleaning operation generated by the control module. According to the backwash control vector provided by the control module, the execution module adjusts the fluid parameters inside the spray washing tower, starts the backwash operation, and adjusts the liquid flow, pressure and duration in real time during the entire cleaning process to achieve a highly targeted cleaning effect. This module eliminates the uncertainty and errors caused by manual operation through automated cleaning operations, and improves the accuracy and efficiency of cleaning.

[0011] The regulating module is used to adjust the flow, pressure and composition of the cleaning medium according to the instructions of the control module. It is designed to flexibly adjust the cleaning medium according to different cleaning requirements to achieve the best cleaning effect; for example, the regulating module can increase the flow of the cleaning medium under high pressure to clean stubborn dirt, or reduce the flow in the case of slight blockage to save resources. This dynamic regulation function significantly improves the resource utilization and cleaning efficiency of the system; Where C(t) is the composition ratio of the cleaning liquid, S j (t) is the solvent composition ratio of the cleaning liquid, F j (t) is the additive ratio, γ j and δ j It is a weight coefficient based on fluid characteristics and cleaning requirements. The weight coefficient is adaptively adjusted through a machine learning algorithm to optimize the cleaning effect.

[0012] The analysis module communicates with the monitoring module and the control module, and generates a dynamic cleaning strategy by performing in-depth analysis of the monitoring data. By analyzing the current pressure fluctuations and flow rate offsets, the optimal time and intensity of the next cleaning can be accurately predicted. The analysis module optimizes the cleaning frequency, cleaning intensity and cleaning duration to ensure that the spray scrubber remains in the best condition during operation. This data-driven optimization strategy avoids excessive cleaning and waste of resources.

[0013] Furthermore, the monitoring module is configured to acquire and process a set of parameters collected in real time, wherein the set of parameters includes the flow velocity offset and the pressure difference fluctuation in the local area of ​​the nozzle. The cleaning monitoring module is connected to the central processor via a data transmission link, and the cleaning monitoring module also provides distributed monitoring feedback to the central processor.

[0014] Furthermore, the control module analyzes the backwashing demand matrix in real time according to the flow rate offset and pressure difference fluctuation fed back by the monitoring module, and the control module determines whether to start the cleaning operation and generates a specific backwashing control vector.

[0015] Furthermore, the control module analyzes the backwash demand matrix in real time based on the following formula according to the flow rate offset and pressure difference fluctuation fed back by the monitoring module:

[0016] M需求 (t) = α Q ·ΔQ(t)+α P ·ΔP(t), where ΔQ(t) is the flow rate deviation, ΔP(t) is the pressure difference fluctuation, and α Q and α P Represent the weight coefficients of flow rate and pressure difference, M 需求 (t) is the demand matrix.

[0017] Furthermore, the control module determines whether to start the cleaning operation and generates a specific backwashing control vector based on the following formula: V 清洗 (t)=(Q 反冲 (t), P 反冲 (t), T 反冲 (t)), where V 清洗 (t) is the backwash control vector, Q 反冲 (t) is the backwash liquid flow rate, P 反冲 (t) is the backwash pressure, T 反冲 (t) is the cleaning duration.

[0018] Furthermore, the backwash fluid flow rate is calculated based on the following formula:

[0019] in, is the base flow rate, k Q The coefficient for adjusting the flow rate according to the demand matrix; the backwash pressure is calculated based on the following formula: in, is the reference pressure, k P is the factor for adjusting the pressure according to the demand matrix; the cleaning duration is calculated based on the following formula: in, is the benchmark cleaning time, k T is the coefficient for adjusting the cleaning time according to the demand matrix.

[0020] On the other hand, a backwash cleaning method includes the following steps: real-time monitoring of fluid parameters in a spray washing tower and transmitting data to a control module; the control module calculates a backwash demand matrix in real time based on the flow rate offset and pressure difference fluctuation fed back by the monitoring module; the control module determines whether to start the backwash operation, and generates a backwash control vector when the demand matrix exceeds a preset critical value; based on the components of the backwash control vector, the backwash liquid flow, backwash pressure and cleaning duration are calculated; in the execution module, the backwash operation is started based on the calculated backwash liquid flow, pressure and cleaning duration, and the parameters of the cleaning medium are adjusted in real time; after the cleaning operation is completed, the fluid parameters are re-acquired through the monitoring module, the cleaning effect is evaluated, and the cleaning strategy is updated based on the evaluation results to form a closed-loop control.

[0021] Beneficial effects: Through the calculation of the demand matrix, the cleaning timing is dynamically adjusted based on the actual equipment status to avoid unnecessary cleaning operations; through the joint work of the execution module and the adjustment module, the backwash flow, pressure and time are optimized according to real-time data to ensure the cleaning effect; through real-time monitoring and feedback control, the use of cleaning resources is optimized to achieve more efficient and economical cleaning operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a schematic diagram of the structure of a spray scrubber with built-in intelligent backwash cleaning function;

[0023] Figure 2 It is a schematic diagram of a flushing method of a spray scrubber with a built-in intelligent backwash cleaning function. DETAILED DESCRIPTION

[0024] In order to deepen the understanding of the present invention, the present invention will be further described in detail below in conjunction with embodiments and drawings. The embodiments are only used to explain the present invention and do not constitute a limitation on the protection scope of the present invention.

[0025] Please see Figure 1-2 A spray washing tower with built-in intelligent backwashing cleaning function includes a monitoring module, a control module, an execution module, a regulation module and an analysis module. The monitoring module is used to collect multiple operating parameters in the fluid processing system in real time, and the parameters include pressure, flow and blockage; the control module is communicated with the monitoring module and is used to generate a cleaning operation control signal according to the operating parameters. The control module includes a processing unit, and the processing unit dynamically determines the cleaning condition based on a preset algorithm or an adaptive algorithm and triggers the cleaning operation; the execution module is used to receive the cleaning operation control signal of the control module and perform the corresponding cleaning operation. The execution module cleans the spray washing tower by adjusting the fluid parameters; the regulation module is used to adjust the flow, pressure and composition of the cleaning medium, and the regulation module adjusts the cleaning parameters according to the instructions of the control module; the analysis module is communicated with the control module and is used to perform an in-depth analysis of the operating data provided by the monitoring module, and generate a dynamic cleaning strategy based on the analysis, and the strategy includes the optimization of the cleaning frequency, cleaning intensity and cleaning duration.

[0026] The monitoring module is configured to acquire and process a set of parameters collected in real time, including the flow velocity offset and pressure difference fluctuation in the local area of ​​the nozzle. The cleaning monitoring module is connected to the central processor via a data transmission link, and the cleaning monitoring module also provides distributed monitoring feedback to the central processor.

[0027] The control module analyzes the backwash demand matrix in real time according to the flow rate offset and pressure difference fluctuation fed back by the monitoring module. The control module determines whether to start the cleaning operation and generates a specific backwash control vector.

[0028] The control module analyzes the backwash demand matrix in real time based on the flow rate offset and pressure difference fluctuation feedback from the monitoring module and is calculated based on the following formula: 需求 (t) = α Q ·ΔQ*(t)+α P ·ΔP(t), where ΔQ(t) is the flow rate deviation, ΔP(t) is the pressure difference fluctuation, and α Q and α P Represent the weight coefficients of flow rate and pressure difference, M 需求 (t) is the demand matrix.

[0029] The control module determines whether to start the cleaning operation and generates a specific backwash control vector based on the following formula: V 清洗 (t)=(Q 反冲 (t), P 反冲 (t), T 反冲 (t)), where V 清洗 (t) is the backwash control vector, Q 反冲 (t) is the backwash liquid flow rate, P 反冲 (t) is the backwash pressure, T 反冲 (t) is the cleaning duration.

[0030] The backwash fluid flow rate is calculated based on the following formula:

[0031] in, is the base flow rate, k Q The coefficient for adjusting the flow rate according to the demand matrix; the backwash pressure is calculated based on the following formula: in, is the reference pressure, k P is the factor for adjusting the pressure according to the demand matrix; the cleaning duration is calculated based on the following formula: in, is the benchmark cleaning time, k T is the coefficient for adjusting the cleaning time according to the demand matrix.

[0032] A backwash cleaning method comprises the following steps: real-time monitoring of fluid parameters in a spray washing tower and transmitting data to a control module; the control module calculating a backwash demand matrix in real time according to the flow rate offset and pressure difference fluctuation fed back by the monitoring module; the control module judging whether to start the backwash operation, and generating a backwash control vector when the demand matrix exceeds a preset critical value; calculating the backwash liquid flow, backwash pressure and cleaning duration according to the components of the backwash control vector; in an execution module, starting the backwash operation according to the calculated backwash liquid flow, pressure and cleaning duration, and adjusting the parameters of the cleaning medium in real time; after completing the cleaning operation, reacquiring the fluid parameters through the monitoring module, evaluating the cleaning effect, and updating the cleaning strategy according to the evaluation results to form a closed-loop control.

[0033] For the purpose of greater clarity, the invention is described in detail through the following examples.

[0034] In a specific embodiment, the monitoring module includes a flow sensor: installed at the inlet and outlet of the washing tower, to monitor the fluid flow rate in real time, with a sensor accuracy of ±0.5% and a flow range of 0-200L / min; a pressure sensor: installed near the nozzle and on the backwash pipe to monitor pressure fluctuations, with a sensor accuracy of ±0.01bar and a working range of 0-10bar; a blockage sensor: indirectly judges the nozzle blockage condition by measuring the flow rate difference and pressure fluctuation of the fluid.

[0035] In a specific embodiment, the core of the control module is a high-performance processing unit, which is responsible for receiving data from the monitoring module and making cleaning decisions based on a specific algorithm. Q and α P are 0.6 and 0.4 respectively. 需求 (t) exceeds the set critical value 4, the control module generates a backwash control vector:

[0036] V 反冲 =[Q 反冲 , P 反冲 , T 反冲 ], where Q 反冲 =120L / min, P 反冲 =7bar, T 反冲 =10 minutes.

[0037] In a specific embodiment, the execution module directly controls the physical operation of backwashing and starts backwashing by receiving the cleaning parameter signal sent by the control module. The solenoid valve group is responsible for opening and closing the flow of backwashing liquid. The valve response time is less than 0.5 seconds, and the flow rate of backwashing liquid can be accurately controlled; the pump group is installed on the cleaning liquid storage tank. The maximum output power of the pump is 3kW, the flow range is 50-150L / min, and the response is fast. Execution operation example: When receiving the control signal V反冲 After that, the execution module starts the backwash operation and injects the backwash liquid into the spray system at a flow rate of 120L / min and a pressure of 7bar for 10 minutes.

[0038] In a specific embodiment, the regulating module is used to dynamically adjust the flow, pressure and composition of the cleaning medium during the backwashing operation to ensure the optimal cleaning effect; the main components include a frequency converter: used to adjust the output power of the backwashing pump to achieve dynamic adjustment of the liquid flow; a pressure regulating valve: adjusts the pressure in the backwashing pipeline according to the instructions of the control module, with an accuracy of ±0.05bar. Implementation example: When the flow rate deviates during the backwashing operation, the regulating module adjusts the flow from 120L / min to 110L / min through the frequency converter, and adjusts the pressure to 6.8bar through the pressure regulating valve.

[0039] In the gas purification system of a chemical plant, the spray scrubber with intelligent backwash cleaning function is used to treat the highly corrosive waste gas discharged daily. Since the waste gas contains a lot of particulate matter, the nozzle is prone to clogging. Chemical plant operating parameters: treatment gas flow: 10,000 cubic meters per hour; waste gas composition: sulfur dioxide 300ppm, hydrogen chloride 150ppm, total amount of other particulate matter 100mg / m 3 . In actual use, the monitoring module frequently detected a drop in flow and an increase in pressure difference at the nozzle. The system determined the risk of blockage based on real-time data and quickly restored the system to normal operation by dynamically adjusting backwash parameters. After six months of use, the chemical plant's equipment maintenance records showed that the frequency of blockage of the spray scrubber was significantly reduced, equipment downtime was reduced by 40%, and the efficiency of the cleaning medium was increased by 20%.

[0040] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the purpose and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

Claims

1. A spray scrubber with built-in intelligent backwash cleaning function, characterized in that: It includes a monitoring module, a control module, an execution module, a regulating module and an analysis module. The monitoring module is used to collect various operating parameters in the fluid treatment system in real time; the control module is connected to the monitoring module in communication and is used to generate a cleaning operation control signal according to the operating parameters. The control module includes a processing unit. The processing unit dynamically determines the cleaning condition based on a preset algorithm or an adaptive algorithm and triggers the cleaning operation; the execution module is used to receive the cleaning operation control signal of the control module and perform the corresponding cleaning operation. The execution module cleans the spray washing tower by adjusting the fluid parameters; the regulating module is used to adjust the flow, pressure and composition of the cleaning medium. The regulating module adjusts the cleaning parameters according to the instructions of the control module; The analysis module is in communication with the control module, and is used for performing an in-depth analysis on the operation data provided by the monitoring module, and generating a dynamic cleaning strategy based on the analysis, wherein the strategy includes optimization of the cleaning frequency, cleaning intensity and cleaning duration.

2. A spray scrubber with built-in intelligent backwashing cleaning function according to claim 1, characterized in that: The monitoring module is configured to acquire and process a parameter set collected in real time, wherein the parameter set includes a flow velocity offset and a pressure difference fluctuation in a local area of ​​the nozzle. The cleaning monitoring module is connected to the central processor via a data transmission link, and the cleaning monitoring module also provides distributed monitoring feedback to the central processor.

3. A spray scrubber with built-in intelligent backwashing cleaning function according to claim 2, characterized in that: The control module analyzes the backwashing demand matrix in real time according to the flow rate offset and pressure difference fluctuation fed back by the monitoring module, determines whether to start the cleaning operation, and generates a specific backwashing control vector.

4. A spray scrubber with built-in intelligent backwashing cleaning function according to claim 3, characterized in that: The control module analyzes the backwash demand matrix in real time based on the following formula according to the flow rate offset and pressure difference fluctuation feedback from the monitoring module: M 需求 (t) = α Q ·ΔQ(t)+α P ·ΔP(t), where ΔQ(t) is the flow rate deviation, ΔP(t) is the pressure difference fluctuation, and α Q and α P Represent the weight coefficients of flow rate and pressure difference, M 需求 (t) is the demand matrix.

5. A spray scrubber with built-in intelligent backwashing cleaning function according to claim 3, characterized in that: The control module determines whether to start the cleaning operation and generates a specific backwash control vector based on the following formula: V 清洗 (t)=(Q 反冲 (t), P 反冲 (t), T 反冲 (t)), where V 清洗 (t) is the backwash control vector, Q 反冲 (t) is the backwashing liquid flow rate, P 反冲 (t) is the backwash pressure, T 反冲 (t) is the cleaning duration.

6. A spray scrubber with built-in intelligent backwashing cleaning function according to claim 5, characterized in that: The backwash fluid flow rate is calculated based on the following formula: in, is the base flow rate, k Q The coefficient for adjusting the flow rate according to the demand matrix; the backwash pressure is calculated based on the following formula: in, is the reference pressure, k P is the factor for adjusting the pressure according to the demand matrix; the cleaning duration is calculated based on the following formula: in, is the benchmark cleaning time, k T is the coefficient for adjusting the cleaning time according to the demand matrix.

7. A backwash cleaning method, implemented by a spray scrubber with built-in intelligent backwash cleaning function as described in claims 1-6, characterized in that: The method comprises the following steps: real-time monitoring of the fluid parameters in the spray scrubber and transmitting the data to the control module; the control module calculates the backwash demand matrix in real time according to the flow rate offset and pressure difference fluctuation fed back by the monitoring module; the control module determines whether to start the backwash operation, and generates a backwash control vector when the demand matrix exceeds a preset critical value; and calculates the backwash liquid flow, backwash pressure and cleaning duration according to the components of the backwash control vector; In the execution module, the backwash operation is started according to the calculated backwash fluid flow, pressure and cleaning duration, and the parameters of the cleaning medium are adjusted in real time. After the cleaning operation is completed, the fluid parameters are re-acquired through the monitoring module, the cleaning effect is evaluated, and the cleaning strategy is updated according to the evaluation results to form a closed-loop control.

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