High flux heat exchanger cleaning method, system, and media

Abstract

The application discloses a high-flux heat exchanger cleaning method, system and medium, and relates to the technical field of energy-saving cleaning, and the method comprises the following steps: monitoring the cleanliness of a main passage, periodically determining cleaning, activating a cleaning module according to the cleaning determination reply, firstly performing micro-channel dredging pretreatment based on the cleaning module, entering a directional chemical cleaning stage according to the liquid turbidity of a water outlet, generating a directional cleaning scheme to perform chemical cleaning according to a sediment detection result, and adjusting the cleaning scheme through real-time feedback to perform closed-loop optimization adjustment. The application solves the technical problems that the micro-channel structure of the high-flux heat exchanger is difficult to clean and the sediment accumulates quickly in the prior art, the traditional cleaning method cannot efficiently and accurately remove the sediment, and the cleaning efficiency and energy utilization rate are low, and achieves the technical effects of realizing automatic dynamic cleaning control, improving the cleaning efficiency and reducing energy consumption through a real-time monitoring, directional cleaning evaluation and closed-loop feedback adjustment mechanism.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of energy-saving cleaning, in particular to a high-flux heat exchanger cleaning method, system and medium. BACKGROUND

[0002] The high-flux heat exchanger adopts a micro-channel design, which can improve heat exchange efficiency and reduce volume, and is widely used in chemical industry, energy, aerospace and other fields. Compared with conventional heat exchangers, the narrow structure of the micro-channel of the high-flux heat exchanger makes the cleaning work more complicated. Especially at high flow rate, the fluid throughput is large, and the deposition rate is fast, which is easy to form deposits that are difficult to clean in the heat exchanger, especially in some sanitary dead angle areas. Due to the narrowness of the micro-channel, the traditional cleaning method often cannot effectively enter these dead angle areas, resulting in that the deposits cannot be completely removed, affecting the heat exchange efficiency and the stability of long-term operation of the equipment.

[0003] In addition, traditional cleaning methods such as reverse water flow cleaning and ordinary chemical cleaning often cannot accurately control the concentration and flow rate of the cleaning liquid due to the limited flow and action range of the cleaning liquid, resulting in unstable cleaning effect and serious waste of cleaning resources. SUMMARY

[0004] The present application provides a high-flux heat exchanger cleaning method, system and medium, which is used to solve the technical problems that the micro-channel structure of the high-flux heat exchanger is difficult to clean and the deposition rate is fast in the prior art, and the traditional cleaning method cannot efficiently and accurately remove the deposits, resulting in low cleaning efficiency and energy utilization rate.

[0005] In a first aspect, the present application provides a high-flux heat exchanger cleaning method, which comprises: performing main passage cleanliness monitoring and periodic cleaning determination to generate a cleaning determination receipt; activating a cleaning module according to the cleaning determination receipt, the cleaning module being connected to a special cleaning loop pipeline to form an independent circulating cleaning channel, and being configured with a chemical cleaning agent storage tank, a circulating pump and a filtration unit; based on the cleaning module, injecting a low-pressure pulsed water flow into the interior of the high-flux heat exchanger to perform micro-channel dredging pretreatment, and monitoring the first outlet liquid turbidity in real time at the water outlet, when the first outlet liquid turbidity is less than a set turbidity threshold, entering a directional chemical cleaning stage; in the directional chemical cleaning stage, performing deposit detection according to the outlet liquid information of the water outlet, and performing directional chemical cleaning evaluation according to the deposit detection result to generate a directional cleaning scheme; according to the directional cleaning scheme, performing chemical directional cleaning in a micro-circulation mode, and real-time acquiring inlet and outlet liquid port sensing information and sanitary dead angle monitoring information to feedback adjust the directional cleaning scheme for closed-loop optimization adjustment.

[0006] In a second aspect of the present application, a high-flux heat exchanger cleaning system is provided, which comprises: a periodic cleaning determination module for monitoring the cleanliness of the main passage and determining periodic cleaning, and generating a cleaning determination receipt; a cleaning activation module for activating a cleaning module according to the cleaning determination receipt, wherein the cleaning module is connected to a dedicated cleaning circuit pipeline, forms an independent circulating cleaning channel, and is provided with a chemical cleaning agent storage tank, a circulating pump and a filter unit; a microchannel dredging pretreatment module for injecting a low-pressure pulsed water flow into the high-flux heat exchanger based on the cleaning module to perform microchannel dredging pretreatment, and monitoring the first liquid turbidity at the water outlet in real time, and when the first liquid turbidity is less than a set turbidity threshold, entering a directional chemical cleaning stage; a directional chemical cleaning evaluation module for deposit detection according to the liquid information at the water outlet during the directional chemical cleaning stage, and performing directional chemical cleaning evaluation according to the deposit detection result, and generating a directional cleaning scheme; and a chemical directional cleaning module for performing chemical directional cleaning in a microcirculation mode according to the directional cleaning scheme, and real-time acquisition of inlet and outlet sensing information and sanitary dead angle monitoring information, feedback adjustment of the directional cleaning scheme, and closed-loop optimization adjustment.

[0007] In a third aspect of the present application, a computer-readable storage medium is provided, wherein the storage medium stores a computer program, and the computer program is executed by a processor to implement the method of the first aspect.

[0008] The one or more technical solutions provided in the present application have at least the following technical effects or advantages:

[0009] The high-flux heat exchanger cleaning method, system and medium provided by the present application relate to the field of energy-saving cleaning technology. Through real-time cleaning demand, the cleaning module is activated for microchannel dredging, the directional chemical cleaning stage is entered according to the liquid turbidity, the directional cleaning scheme is generated according to the deposit detection result, the chemical cleaning is performed in a microcirculation mode, and the closed-loop optimization adjustment is performed through real-time sensing information, thereby solving the technical problems of high-flux heat exchanger in the prior art, such as great difficulty in cleaning the microchannel structure, fast deposit accumulation, inability of traditional cleaning methods to efficiently and accurately remove deposits, low cleaning efficiency and low energy utilization rate, and achieving the technical effects of automatic dynamic cleaning control, improved cleaning efficiency and reduced energy consumption through real-time monitoring, directional cleaning evaluation and closed-loop feedback adjustment mechanism. BRIEF DESCRIPTION OF DRAWINGS

[0010] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0011] Figure 1 This is a schematic diagram of a high-throughput heat exchanger cleaning method provided in an embodiment of this application;

[0012] Figure 2 This is a schematic diagram of the high-throughput heat exchanger cleaning system provided in an embodiment of this application.

[0013] Figure labeling: Periodic cleaning determination module 11, cleaning activation module 12, microchannel unblocking pretreatment module 13, directional chemical cleaning evaluation module 14, chemical directional cleaning module 15. Detailed Implementation

[0014] This application provides a method, system, and medium for cleaning high-flux heat exchangers, which addresses the technical problems of high-flux heat exchangers in the prior art, such as the difficulty in cleaning the microchannel structure and the rapid accumulation of deposits, the inability of traditional cleaning methods to efficiently and accurately remove deposits, and the low cleaning efficiency and energy utilization.

[0015] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0016] It should be noted that the terms "first," "second," etc., in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules not explicitly listed or inherent to such processes, methods, products, or devices.

[0017] Example 1, as Figure 1 As shown, this application provides a method for cleaning a high-throughput heat exchanger, the method comprising:

[0018] P10: Perform main channel cleanliness monitoring and periodic cleaning determination, and generate a cleaning determination receipt.

[0019] Specifically, in this step, first, the main channel of the high-flux heat exchanger needs to be monitored in real time for cleanliness to ensure that the heat exchanger maintains good heat exchange efficiency during operation. For this purpose, sensor assemblies are installed at the inlet and outlet of the main channel of the heat exchanger. These sensors can continuously monitor various key parameters of the fluid, including flow rate, turbidity, conductivity, and particle concentration. The flow rate sensor is used to monitor changes in the flow rate of the fluid, which can indirectly reflect whether there is a blockage or an increase in resistance to fluid flow inside the heat exchanger. The turbidity sensor can detect the concentration of suspended particles in the fluid, and an increase in turbidity value usually means that a large amount of sediment has accumulated in the channel of the heat exchanger, resulting in a decrease in heat exchange efficiency. The conductivity sensor reflects changes in water quality by measuring the conductivity of the fluid, which is usually proportional to the concentration of dissolved ions in water. If the conductivity changes significantly, it may mean that a large amount of mineral or metal oxide has accumulated inside the heat exchanger, which can affect the performance of the heat exchanger. The particle concentration sensor detects the number and size of particulate matter in the fluid in real time, further reflecting whether the channel of the heat exchanger is blocked by sediment.

[0020] The real-time monitoring data of all these parameters is transmitted to the central control system, where periodic cleaning determination is made according to pre-set rules. This rule can be based on long-term experimental data and actual operation experience, taking into account the output information of various sensors such as flow rate, turbidity, conductivity, etc., and making periodic judgments according to pre-set cleaning standards, such as whether the threshold for cleaning has been reached. For example, when the turbidity value exceeds the set threshold, it indicates that the cleanliness of the main channel has decreased to the point where cleaning is needed; when the pressure and flow rate change exceed the allowed range, it indicates that there may be a blockage problem inside the heat exchanger, which needs to be cleaned in a timely manner; similarly, abnormal changes in the temperature difference between the inlet and outlet can also trigger cleaning determination. Through this multi-parameter comprehensive determination method, it can more accurately determine whether the heat exchanger needs to be cleaned, avoiding false positives due to accidental fluctuations in a single parameter.

[0021] Finally, according to the results of periodic cleaning determination, a cleaning determination receipt is generated. This receipt details the monitored parameter data, the basis for the determination, and the conclusion of whether cleaning is needed. The cleaning determination receipt is not only an important basis for the activation of the subsequent cleaning module, but also provides detailed records for the maintenance and management of the equipment, facilitating the tracing and analysis of the operating status of the heat exchanger. Through the main channel cleanliness monitoring and periodic cleaning determination method, the efficient operation of the high-flux heat exchanger can be effectively guaranteed, the service life of the equipment can be extended, and the production losses caused by equipment failure can be reduced.

[0022] P20: activating a cleaning module according to the cleaning determination receipt, the cleaning module connecting a dedicated cleaning circuit pipeline, forming an independent circulating cleaning channel, and being configured with a chemical cleaning agent storage tank, a circulating pump and a filtering unit.

[0023] Optionally, according to the result of the cleaning determination receipt, the system will decide whether to start the cleaning module. If the determination result shows that cleaning is needed, the cleaning module is automatically activated, and the system instructs the cleaning module through the control system. Once the cleaning module is activated, the system will connect a dedicated cleaning circuit pipeline designed for cleaning, which is completely independent of the cleaning system of the high-flux heat exchanger, ensuring that the cleaning process will not interfere with the normal operation channel of the heat exchanger.

[0024] The configuration of the cleaning module is the key to achieving efficient cleaning. Its main components include a chemical cleaning agent storage tank, a circulating pump and a filtering unit. Among them, the chemical cleaning agent storage tank stores specific cleaning liquids, which are carefully selected according to the type and accumulation of deposits, usually including detergents, solvents and oil removal agents, etc., with strong cleaning effect. Through the control of the system, the concentration, dosage and injection method of the cleaning agent can be accurately adjusted to ensure that its dissolving effect on the deposits is most efficient during the cleaning process.

[0025] The circulating pump is the key power component of the cleaning module, which drives the cleaning liquid to flow in the independent circulating cleaning channel. The selection of the circulating pump needs to be optimized according to the structure of the heat exchanger, the properties of the cleaning liquid and the requirements of the cleaning flow. Through the continuous action of the circulating pump, the cleaning liquid can form a stable flow state inside the heat exchanger, ensuring that the cleaning agent and the deposits are in full contact, thereby improving the cleaning efficiency. At the same time, the flow and pressure of the circulating pump can be dynamically adjusted according to the cleaning scheme to adapt to the needs of different cleaning intensities, ensuring that the cleaning liquid can effectively cover all areas that need to be cleaned, including those relatively hidden and difficult to access.

[0026] The filtering unit is another important component of the cleaning module, which functions to filter the cleaning liquid during the cleaning process and remove impurities and detached deposits generated during the cleaning process. The filtering unit can adopt a multi-stage filtering design, including coarse filtering and fine filtering stages. Coarse filtering is mainly used to remove larger particle impurities to protect the subsequent fine filtering unit and circulating pump; fine filtering can effectively remove small particle impurities to ensure that the cleaning liquid always maintains high cleanliness during the circulation process. The setting of the filtering unit not only improves the cleaning effect, but also prolongs the service life of the cleaning agent and reduces the cleaning cost.

[0027] Throughout the entire process, the cleaning circuit pipeline is completely isolated from the normal operation circuit of the heat exchanger, preventing any external contamination or cleaning fluid leakage from affecting the heat exchange performance of the heat exchanger during the cleaning process. Through this independent cleaning circuit system, it can ensure that the deposits inside the heat exchanger are thoroughly removed, while maintaining the stability and safety of the heat exchanger operation.

[0028] P30: Based on the cleaning module, low-pressure pulsed clean water flow is injected into the high-flux heat exchanger, micro-channel dredging pretreatment is carried out, and the first liquid turbidity at the outlet is monitored in real time. When the first liquid turbidity is less than the set turbidity threshold, enter the directional chemical cleaning stage.

[0029] It should be understood that after the cleaning module is activated, the micro-channels inside the heat exchanger are first pretreated by injecting low-pressure pulsed clean water flow. The low-pressure pulsed clean water flow here refers to a water flow with a certain pressure but lower than the conventional cleaning pressure, and the water flow is injected into the heat exchanger in the form of pulses. The pulsed water flow has the characteristics of instantaneous high-pressure impact, which can effectively impact and loosen the deposits attached to the channel wall without damaging the micro-channels of the heat exchanger, thereby realizing the dredging of the micro-channels. This dredging method is particularly suitable for the complex and narrow micro-channel structure inside the high-flux heat exchanger, which can effectively avoid channel damage or deformation caused by excessive pressure. The core of this stage is to help loosen the loose deposits inside the micro-channels through the impact force of the pulse flow, and accelerate their shedding.

[0030] At the same time of injecting low-pressure pulsed clean water flow, the first liquid turbidity at the outlet of the heat exchanger is monitored in real time. Turbidity is an important indicator of the content of suspended particles in water, and the turbidity sensor can obtain the turbidity of the outlet liquid in real time. When the first liquid turbidity is less than the set turbidity threshold, it indicates that the deposits in the micro-channels have been mostly removed, and the cleanliness of the water flow has reached the standard that can enter the directional chemical cleaning stage. At this time, the system will automatically stop the injection of low-pressure pulsed clean water flow and prepare to enter the directional chemical cleaning stage.

[0031] In this step, the turbidity threshold is a parameter determined in advance according to the operating requirements and cleaning standards of the heat exchanger. The setting of this threshold needs to consider factors such as the material of the heat exchanger, the structure of the micro-channels, the type of deposits, and the water quality requirements after cleaning. Through scientific and reasonable threshold setting, the effect of micro-channel dredging pretreatment can be optimized, while avoiding waste of resources and equipment damage caused by excessive cleaning.

[0032] The directional chemical cleaning stage will target stubborn deposits that are still tightly attached to the surface of the heat exchanger and are difficult to remove by physical cleaning. By monitoring the turbidity change and comparing it with the set threshold, real-time feedback can be achieved, ensuring that the cleaning process is carried out as needed, avoiding unnecessary cleaning time and chemical cleaning agents.

[0033] The key to this stage is the low-pressure setting and real-time turbidity monitoring of the pulse cleaning. The low-pressure pulsed clean water flow can effectively avoid excessive impact on the internal channels of the high-flux heat exchanger. At the same time, by using real-time monitoring data as feedback, the cleaning progress can be dynamically adjusted to effectively improve the cleaning effect and ensure the safe operation of the heat exchanger.

[0034] P40: During the targeted chemical cleaning stage, sediment is detected based on the effluent information from the outlet, and a targeted chemical cleaning assessment is conducted based on the sediment detection results to generate a targeted cleaning plan.

[0035] Furthermore, step P40 in this embodiment of the application also includes:

[0036] P41: Construct a sediment parameter feature vector based on the effluent information from the outlet. The sediment parameter feature vector includes particle diameter distribution, conductivity variation gradient, and viscosity variation trend. P42: Input the sediment parameter feature vector into the sediment identification model to identify sediment type and analyze accumulation intensity, generating initial detection results. P43: Combine the historical cleaning response data of the heat exchanger to perform a confidence-weighted calibration on the initial detection results, generating sediment detection results.

[0037] Optionally, after entering the targeted chemical cleaning stage, the first step is to detect sediments based on the real-time effluent information from the outlet. By analyzing the effluent information, including parameters such as chemical composition, particle size, conductivity, and viscosity, a sediment parameter feature vector is constructed. This feature vector covers key indicators such as the particle diameter distribution, conductivity gradient, and viscosity trend of the sediments, providing basic data for subsequent sediment identification and analysis. The particle diameter distribution, monitored by a particle size sensor, provides information on the size distribution of sediment particles in the fluid. Particle size directly affects the difficulty of sediment removal; larger particles are generally easier to remove, while small particles may cause microchannel blockage or adhere to the pipe wall. The conductivity gradient reflects the concentration change of dissolved substances in the fluid and is usually related to the accumulation of deposits such as scale and minerals. Changes in conductivity can indirectly reveal the degree of sediment accumulation, especially in water treatment or heat exchange equipment, where fluctuations in conductivity are often used to determine the extent of scaling. Viscosity change trend is to monitor the change of liquid viscosity over time. An increase in viscosity usually indicates that deposits have accumulated in the pipe and may form a more adhesive substance.

[0038] Subsequently, the sediment parameter feature vector is input into a pre-constructed sediment identification model. Based on historical data and existing sediment type information, the model classifies and identifies the sediment through machine learning, pattern recognition, or statistical analysis methods, determines its type (such as scale, oil stain, metal oxide, etc.), and analyzes the sediment accumulation strength to evaluate the tightness and distribution of the sediment. This process not only determines the specific type of sediment, such as carbonate scale, silica scale, or iron oxide scale, but also evaluates the accumulation of sediment inside the heat exchanger, providing preliminary evaluation basis for directional chemical cleaning.

[0039] To further improve the accuracy and reliability of the detection results, historical cleaning response data of the heat exchanger can be combined to perform credibility weighted calibration on the initial detection results. The historical cleaning response data includes the relationship between different sediment types and cleaning effects in previous cleaning processes, as well as specific cleaning fluid ratios, cleaning intensity, and other parameters used in the cleaning process. By comparing and weighting these historical data with the current detection results, the system can eliminate errors caused by external environmental changes or equipment state differences, ensuring that the final sediment detection results are more accurate and reliable.

[0040] Finally, the sediment detection results after credibility weighted calibration will be used as the basis for generating a directional cleaning scheme. Based on these data, the system can accurately develop a targeted cleaning scheme. The scheme will specify the type, concentration, cleaning time, temperature, and other key parameters of the chemical cleaning agent used to ensure that the cleaning process can efficiently and completely remove the sediment while minimizing corrosion and damage to the heat exchanger material.

[0041] Further, the step P40 of the embodiment of the present application further includes:

[0042] P44: The sediment detection results include sediment type, sediment accumulation amount, and sediment clump density; P45: Determine a set of cleaning fluid types based on the sediment type; P46: Perform a first directional evaluation based on the sediment accumulation amount and sediment clump density, combined with the set of cleaning fluid types, to generate a cleaning fluid ratio scheme, which includes cleaning fluid concentration; P47: Obtain heat exchanger tube wall information, and perform a second directional evaluation combined with the cleaning fluid ratio scheme to generate the directional cleaning scheme, which includes cleaning fluid concentration, cleaning fluid temperature, flushing flow rate, and circulation time.

[0043] Specifically, the generation process of the directional chemical cleaning scheme can be further refined to ensure that the cleaning operation can accurately target the actual situation of the sediment inside the heat exchanger.

[0044] After completing the sediment detection, the generated sediment detection results will contain key information such as sediment type, sediment accumulation amount, and sediment clump density. Sediment type refers to the specific physical properties of the sediment, such as scale, oil, metal oxides, bacterial colonies, etc. The accumulation amount refers to the total amount of sediment accumulated on the surface of the heat exchanger or in the pipeline, usually expressed in weight per unit area (e.g., g / m 2 ). Clump density reflects the tightness of the sediment in the heat exchanger. Sediments with higher clump density are more difficult to clean because they adhere more firmly to the surface.

[0045] First, determine the corresponding cleaning fluid type set based on the sediment type. Different types of sediment require different types of cleaning fluid to dissolve or remove. For example, for scale, an acidic cleaning fluid may be selected to dissolve minerals, and for oil, an organic solvent cleaning fluid may be used. The system will automatically select the appropriate cleaning fluid type set based on the type of sediment, including but not limited to acid, base, organic solvent, etc., to ensure that the cleaning fluid has good dissolving and cleaning effect on the sediment.

[0046] Next, based on the sediment accumulation amount and sediment clump density, combined with the determined cleaning fluid type set, a directional evaluation is performed to generate a cleaning fluid ratio scheme. The sediment accumulation amount reflects the total amount of sediment, while the clump density indicates the tightness of the sediment. These two factors together determine the concentration of the cleaning fluid. For example, sediment with high accumulation amount and high clump density may require a higher concentration of cleaning fluid to achieve effective cleaning. Therefore, the cleaning fluid ratio scheme will include the specific cleaning fluid concentration to ensure that the cleaning fluid can function optimally.

[0047] Further, obtain the heat exchanger tube wall information, including tube wall material, thickness, corrosion resistance, etc. Combined with the cleaning fluid ratio scheme, a second directional evaluation is performed. This step is very important because different materials of the tube wall have different adaptability to the cleaning fluid. Some cleaning fluids at high concentrations may cause corrosion or wear to the tube wall. For example, some tube wall materials may be sensitive to high temperatures or prone to erosion under high flow rates. Therefore, the directional cleaning scheme not only includes the cleaning fluid concentration, but also adjusts the cleaning fluid temperature, flushing flow rate, and cycle length according to the tube wall information to ensure that the cleaning process can effectively remove sediment without damaging the heat exchanger tube wall. Finally, the generated directional cleaning scheme will include parameters such as cleaning fluid concentration, cleaning fluid temperature, flushing flow rate, and cycle length. Through the adjustment of these parameters, the system can achieve fine cleaning of different sediments, making the cleaning process both efficient and safe.

[0048] Overall, by introducing sediment type, accumulation amount, caking density, pipe wall information and other multi-dimensional data, the formulation of the cleaning scheme is more intelligent and accurate. Through directional evaluation, the ratio, temperature, flow rate and other parameters of the cleaning fluid can be dynamically adjusted according to the specific situation to ensure the maximum benefit of the cleaning process, while avoiding unnecessary damage to the heat exchanger equipment.

[0049] Further, the step P46 of the embodiment of the present application further includes:

[0050] P46-1: Construct a nonlinear response model of sediment deposition strength and cleaning fluid concentration, and form a reverse prediction matrix through multiple experimental samples, the reverse prediction matrix including a concentration-time joint matching table; P46-2: Using the nonlinear response model, automatically fitting to generate a recommended concentration interval according to the sediment accumulation amount and sediment caking density, and combining the reverse prediction matrix to calculate the minimum effective dissolution time corresponding to the recommended concentration interval, to generate a cleaning fluid ratio scheme.

[0051] Optionally, the generation process of the cleaning fluid ratio scheme can be further refined to achieve precise optimization of cleaning fluid concentration and dissolution time by constructing a nonlinear response model and a reverse prediction matrix.

[0052] First, based on experimental data, a nonlinear response model between the deposition strength of the sediment and the concentration of the cleaning fluid is constructed. The deposition strength of the sediment is usually closely related to the type, accumulation amount and caking density of the sediment, etc. The greater the deposition strength of the sediment, the more firmly it adheres, and the more difficult it is to clean. Therefore, through the nonlinear response model, the system can establish an accurate relationship between the deposition strength of the sediment and the required cleaning fluid concentration, to ensure that different intensity of sediment can be treated with the corresponding concentration of cleaning fluid. For example, by cleaning experiments on different types of sediments (such as scale, oil stains, metal oxides, etc.), experimental data samples such as cleaning fluid concentration, cleaning effect (such as solubility of sediment, removal efficiency) are collected. And through multiple experimental data samples, through mathematical statistics, the effect of cleaning fluid of different concentrations on different types of sediments is analyzed to form a nonlinear response model.

[0053] At the same time, through multiple experimental samples, cleaning experiments are conducted on sediments of different types, accumulation amounts and caking densities to obtain the required cleaning fluid concentration for each type of sediment, thereby forming a reverse prediction matrix. The matrix includes a concentration-time joint matching table, which records the minimum dissolution time (i.e. the shortest dissolution time) required for cleaning fluid at different concentrations to ensure that the sediment can be completely dissolved and removed. The table can recommend the best matching value of cleaning fluid concentration and cleaning time according to the accumulation of different sediments.

[0054] In practical operation, the established nonlinear response model can be used to automatically fit the recommended concentration range based on the actual measured sediment accumulation and sediment agglomerate density. Accumulation and agglomerate density are key factors affecting cleaning effectiveness. The larger the accumulation or the higher the agglomerate density, the higher the concentration and longer the dissolution time of the cleaning fluid required to effectively remove the sediment. Through automatic fitting of the model, the system can calculate a recommended concentration range based on these sediment characteristics, which indicates the range of cleaning fluid concentration that should be used to ensure that the cleaning fluid can effectively dissolve and remove the sediment.

[0055] At the same time, combined with the inverse prediction matrix, the minimum effective dissolution time corresponding to the recommended concentration range is further calculated. The minimum effective dissolution time refers to the shortest time that can ensure complete dissolution of the sediment within a given concentration range. This calculation process takes into account various factors, including the type of sediment, accumulation, agglomerate density, and the chemical properties of the cleaning fluid. Finally, an accurate cleaning fluid proportioning scheme is generated based on the recommended concentration range and the minimum effective dissolution time, which not only includes the concentration of the cleaning fluid, but also other cleaning parameters (such as temperature, flow rate, etc.), ensuring that each cleaning can achieve the best effect, avoiding resource waste and reducing damage to equipment.

[0056] Further, the step P47 of the embodiment of the present application further includes:

[0057] P47-1: Collect the channel cross-sectional area, pipe wall material information, thickness information, and corrosion resistance level of the high-flux heat exchanger to generate a structure risk constraint; P47-2: Based on the structure risk constraint as a basis constraint, taking the cleaning fluid concentration, cleaning fluid temperature, flushing flow rate, and cycle length as adjustment parameters, and taking cleaning efficiency and cleaning cost as optimization objectives, the cleaning fluid proportioning scheme is subjected to incremental optimization to generate the directional cleaning scheme.

[0058] In one possible embodiment of the present application, the generation process of the targeted cleaning scheme can be further refined. Specifically, by first collecting key parameters such as the channel cross-sectional area of the high-flux heat exchanger, the pipe wall material information, the thickness information, and the corrosion resistance level, a structural risk constraint is generated. These parameters are crucial for the design of the cleaning scheme, as different pipe sizes, materials, and thicknesses have a direct impact on the adaptability of the cleaning fluid and the cleaning intensity. The cross-sectional area of the pipe determines the size of the space for the flow of the cleaning fluid, while the material and thickness of the pipe wall determine the corrosion resistance, temperature tolerance range, and solubility of the cleaning fluid. If the pipe wall material is not acid-resistant or has poor high-temperature resistance, the concentration and temperature of the cleaning fluid need to be strictly limited during the cleaning process to avoid corrosion or damage to the pipe. At the same time, the corrosion resistance level of the heat exchanger can help determine the components that should be avoided in the cleaning fluid, ensuring that the selected cleaning fluid does not cause additional damage to the pipe. Based on this information, the system generates a structural risk constraint, i.e., during the cleaning process, it must ensure that the use parameters of the cleaning fluid do not exceed the tolerance of the heat exchanger structure. For example, if the pipe wall material of the heat exchanger is stainless steel and has a low corrosion resistance level, the system will limit the concentration and temperature of the cleaning fluid to avoid damaging the pipe.

[0059] On the basis of the structural risk constraint, the cleaning fluid concentration, cleaning fluid temperature, flushing flow rate, and cycle length are used as adjustment parameters to optimize the cleaning fluid ratio scheme. First, the system sets the initial concentration, temperature, flow rate, and time range of the cleaning fluid, and then adjusts these parameters step by step through a multi-objective optimization algorithm. For each parameter, the system evaluates its impact on cleaning efficiency and cost. During the adjustment process, the change in cleaning fluid concentration directly affects the solubility of the cleaning, but the risk of corrosion on the equipment due to excessively high concentration also needs to be considered; the temperature of the cleaning fluid affects the cleaning speed, but excessively high temperature may cause damage to the pipe wall, so the system optimizes the temperature setting according to the temperature resistance of the pipe wall material; the flushing flow rate determines the scouring efficiency of the cleaning fluid, and excessively low flow rate may result in incomplete cleaning, while excessively high flow rate may waste cleaning fluid; the cycle length is an important factor in the cleaning process, and excessively long time will increase the cost, while excessively short time may affect the cleaning effect. The system evaluates these factors comprehensively and calculates the cleaning effect and cleaning cost under each parameter combination through a multi-dimensional optimization algorithm such as genetic algorithm, simulated annealing algorithm, etc., and adjusts according to the optimization target to ensure the best balance between cleaning efficiency and cost.

[0060] Finally, based on the results of the incremental optimization, an updated targeted cleaning scheme is generated. This scheme includes optimized cleaning fluid concentration, temperature, flow rate, and cycle length, etc. parameters that can maximize cleaning effectiveness without compromising equipment structure. The generated targeted cleaning scheme will be used for subsequent cleaning operations and further adjusted in real time during execution to ensure optimal results each time, thereby extending equipment life and reducing resource waste.

[0061] P50: According to the targeted cleaning scheme, chemical targeted cleaning is performed in micro-circulation mode, and real-time inlet and outlet port sensor information and sanitary dead angle monitoring information are obtained, and the targeted cleaning scheme is adjusted and optimized in a closed loop.

[0062] Further, the embodiment of the present application step P50 also includes:

[0063] P51: Sensor assemblies are arranged at the inlet and outlet ports and the sanitary dead angle of the tube wall, respectively, to obtain real-time inlet and outlet port sensor information and sanitary dead angle monitoring information, and the inlet and outlet port sensor information and sanitary dead angle monitoring information are time-stamped; P52: Based on the inlet and outlet port sensor information and sanitary dead angle monitoring information, periodic cleaning effectiveness evaluation is performed to generate multi-stage evaluation results; P53: For the multi-stage evaluation results, adjacent period cleaning effectiveness comparison is performed to generate a cleaning effectiveness change curve; P54: Based on the cleaning effectiveness change curve, the targeted cleaning scheme is dynamically optimized in real time to generate an updated targeted cleaning scheme, and the updated targeted cleaning scheme is used to perform cleaning work in the next cleaning cycle; P55: By analogy, the targeted cleaning scheme is periodically updated.

[0064] It should be understood that, based on the targeted cleaning scheme, chemical targeted cleaning is performed in micro-circulation mode, and feedback adjustment is performed in combination with real-time monitoring information to ensure the efficiency and accuracy of the cleaning process.

[0065] First, sensor assemblies are arranged at the inlet and outlet ports and the sanitary dead angle of the tube wall, respectively, to collect real-time monitoring data. The inlet and outlet port sensors are used to detect flow rate, temperature, turbidity, and other fluid flow-related parameters, while the sanitary dead angle monitoring assemblies are responsible for monitoring areas that are difficult to access inside the heat exchanger, which are often overlooked in traditional cleaning methods. By placing sensors at these key locations, the system can obtain real-time inlet and outlet port sensor information and sanitary dead angle monitoring information at each location. These information not only includes basic fluid parameters of the cleaning fluid, but also has a time stamp, providing time series data support for subsequent dynamic adjustment.

[0066] Subsequently, based on the real-time collected inlet and outlet sensing information and sanitary dead angle monitoring information, periodic evaluation of cleaning effect is performed, cleaning effect in different time periods is analyzed, cleaning progress and effect of cleaning liquid are evaluated, and a set of multi-stage evaluation results are generated. Through comparison of monitoring data at different time points in the cleaning process, the multi-stage evaluation results can determine in real time whether the cleaning liquid is fully dissolved in the sediment, whether there are dead angle areas that cannot be effectively cleaned, etc.

[0067] Subsequently, adjacent period cleaning effect comparison is performed for the multi-stage evaluation results, and a cleaning effect change curve is generated through the comparison results. The change curve can reflect the cleaning effect change in each stage of the cleaning process. The curve directly shows the dynamic change of the cleaning effect in the cleaning process, which can be used to identify key nodes and potential problems in the cleaning process. For example, if the cleaning effect change curve shows that the cleaning effect of a certain area continues to decline in multiple periods, it may indicate that there are difficult-to-remove sediments or structural problems in the area.

[0068] Based on the cleaning effect change curve, real-time dynamic optimization of the directional cleaning scheme is performed, which means that the system can adjust according to the trend in the change curve, optimize parameters such as concentration, temperature, flow rate and cleaning time of the cleaning liquid. The optimized cleaning scheme will ensure that the cleaning efficiency is improved in the stage of declining cleaning efficiency, or the flow rate and time are adjusted in the cleaning effect plateau period to reduce resource waste. The updated directional cleaning scheme after optimization will be applied to the next cleaning cycle to ensure optimal cleaning effect each time. This dynamic optimization process ensures that the cleaning scheme can be adjusted according to real-time monitoring data, thereby improving cleaning efficiency and effect.

[0069] Finally, periodic update of the directional cleaning scheme is performed, and optimization adjustment is performed according to feedback data in each cleaning process. This continuously circulating optimization mechanism ensures that the cleaning scheme is always in the optimal state and can adapt to changes in the type and amount of sediment inside the heat exchanger, thereby ensuring long-term efficiency of the cleaning process.

[0070] Further, the step P54 of the embodiment of the present application further includes:

[0071] P54-1: Based on the trend slope, hysteresis interval and mutation point characteristics in the cleaning effect change curve, the cleaning effect decline stage and the platform stage are identified; P54-2: In the effect decline stage, the cleaning liquid concentration or flushing flow rate is increased, and in the effect platform stage, the cycle time is reduced, and the updated directional cleaning scheme is generated.

[0072] Specifically, based on the analysis results of the cleaning effect change curve, more detailed dynamic optimization adjustment can be performed to ensure that the cleaning effect in different stages is maximized.

[0073] First, the cleaning effect change curve is analyzed in detail. By analyzing the trend slope in the curve, it can be determined whether the cleaning effect is in the rising stage, the platform stage, or the declining stage. If the slope of the curve is large, it means that the cleaning effect is improving; if the slope tends to be flat, it means that the cleaning effect has reached a stable level; and if the slope of the curve decreases, it means that the cleaning effect is declining, and the dissolution or stripping efficiency of the deposits is declining. In addition to the trend slope, the system also needs to identify the lag interval and the mutation point characteristics. The lag interval reflects the response delay of the cleaning effect, and the mutation point refers to the time when the cleaning effect changes significantly. By considering these characteristics comprehensively, the system can accurately identify different stages in the cleaning process and take appropriate optimization measures for each stage.

[0074] If the cleaning effect is identified to be in the declining stage, the system will increase the cleaning fluid concentration or the flushing flow rate to enhance the dissolution ability and physical impact force of the cleaning fluid, ensuring that the deposits can be completely removed. Increasing the concentration helps to enhance the chemical dissolution ability of the cleaning fluid, while increasing the flow rate can increase the impact force of the liquid, promoting the loosening and removal of the deposits. For example, if the current cleaning fluid concentration is 5%, it can be increased to 8% according to the actual situation. At the same time, the flushing flow rate can also be increased to enhance the scouring effect of the cleaning fluid on the deposits. For example, the flushing flow rate can be increased from 1 meter / second to 1.5 meters / second. These adjustments can help overcome the stubbornness of the deposits and improve cleaning efficiency.

[0075] In the platform stage of the cleaning effect, the cleaning fluid concentration and flow rate have reached a stable level, and further increasing the concentration or flow rate may weaken or even waste cleaning fluid and energy. Therefore, the system will reduce the cycle time to reduce unnecessary cleaning time and save resources and reduce cleaning costs. For example, if the current cycle time is 30 minutes, the system may shorten it to 20 minutes. In this way, the system can reduce unnecessary cleaning time and resource consumption while ensuring cleaning effect.

[0076] Through the above analysis and adjustment based on the cleaning effect change curve, an updated targeted cleaning scheme is generated. This updated scheme will comprehensively consider the optimization and adjustment of cleaning fluid concentration, flushing flow rate, and cycle time, etc. to ensure that the cleaning task can be completed more efficiently and accurately in the next cleaning cycle. This dynamic optimization process not only improves cleaning efficiency, but also adjusts the cleaning strategy in real time according to the actual situation of the heat exchanger and the changes of the deposits, thereby prolonging the service life of the heat exchanger, reducing cleaning costs, and ensuring the efficient operation of the heat exchanger.

[0077] Further, the embodiments of the present application also include the step P60 of monitoring the change trend of the deposit accumulation state in real time. If the change amplitude of the accumulation state is lower than the accumulation threshold, the ultrasonic vibration module is activated. The ultrasonic vibration module resonates and disturbs the inner wall of the structure through multi-frequency collaborative pulse oscillation, and breaks the scale structure in combination with the temperature stage of the current chemical cleaning reaction process.

[0078] Optionally, to further improve the cleaning effect, on the basis of chemical cleaning, the cleaning effect can be enhanced through physical means. When necessary, the ultrasonic vibration module assists the chemical cleaning process.

[0079] During the execution of the cleaning operation, the system continuously monitors the change trend of the deposit accumulation state in real time. This monitoring process is realized through sensors installed at key positions of the heat exchanger, which can detect the changes in the thickness, density and other related parameters of the deposits. When the monitoring result shows that the change amplitude of the deposit accumulation state is lower than the set accumulation threshold, it indicates that the current chemical cleaning method may not be able to effectively remove the deposits, or the structure of the deposits is stubborn and difficult to be removed by chemical cleaning alone.

[0080] At this time, the system will activate the ultrasonic vibration module. The ultrasonic vibration module is a device that generates high-frequency vibration using ultrasonic wave energy, and can resonate and disturb the inner wall of the structure of the heat exchanger through multi-frequency collaborative pulse oscillation. Through resonance, the deposits are physically disturbed. These high-frequency pulse oscillations can effectively break the binding force between the deposits and the pipe wall, especially for stubborn deposits that are difficult to dissolve due to long-term accumulation or chemical cleaning, which can loosen the deposits and assist their peeling and removal.

[0081] The working principle of the ultrasonic vibration module relies on multi-frequency collaborative pulse, which produces stronger vibration effect at the resonance points of different frequencies through the alternating action of oscillation of different frequencies. Oscillation of different frequencies can better adapt to different types of deposits and enhance their removal effect. Through this physical disturbance, the deposits are effectively dispersed with the assistance of the cleaning liquid, avoiding the cleaning dead angle problem that may be caused by single chemical cleaning method.

[0082] In addition, when using ultrasonic vibration, the temperature stage of the current chemical cleaning reaction process can be combined. The effect of ultrasonic vibration will vary with temperature. During the chemical cleaning process, the temperature usually increases gradually with time, and at this time the chemical reaction rate is enhanced, and the disturbance effect of ultrasonic vibration is also enhanced. In combination with the temperature stage, the system adjusts the intensity and frequency of the ultrasonic vibration, so that it is synchronized with the chemical cleaning process, forming a physical and chemical synergistic effect to improve the cleaning efficiency.

[0083] By combining ultrasonic vibration with intelligent control of the temperature stage of the chemical cleaning reaction, the scale layer structure of the deposits can be further broken, especially for deposits that have formed a strong adhesion due to accumulation, which can accelerate their removal on the basis of chemical cleaning, significantly improving cleaning efficiency and thoroughness.

[0084] In summary, step P60 achieves efficient removal of deposits by real-time monitoring of the changing trend of the accumulation state of the deposits and activating the ultrasonic vibration module when necessary, combined with the temperature stage of the chemical cleaning reaction process. This process not only improves the flexibility and adaptability of cleaning, but also further optimizes the cleaning effect, ensuring the long-term stable operation of the heat exchanger.

[0085] In summary, the embodiments of the present application have at least the following technical effects:

[0086] The present application monitors the cleanliness of the main passage and periodically determines whether cleaning is needed, activates the cleaning module and forms an independent circulating cleaning channel. Low-pressure pulsed water flow is used for micro-channel dredging, and the turbidity of the outlet is monitored in real time to determine whether to enter the chemical cleaning stage. A directional cleaning scheme is generated based on the deposit detection results, chemical cleaning is performed in micro-circulation mode, and real-time sensing information feedback is used for closed-loop optimization and adjustment.

[0087] The real-time monitoring, directional cleaning evaluation and closed-loop feedback adjustment mechanism are achieved, which realizes automatic dynamic cleaning control, improves cleaning efficiency and reduces energy consumption.

[0088] Embodiment two, based on the same inventive concept as the high-flux heat exchanger cleaning method in the preceding embodiments, as Figure 2 shown, the present application provides a high-flux heat exchanger cleaning system, and the system and method embodiments in the present application are based on the same inventive concept. The system comprises:

[0089] The periodic cleaning determination module 11 is used for monitoring the cleanliness of the main passage and performing periodic cleaning determination, and generates a cleaning determination receipt.

[0090] The cleaning activation module 12 is used for activating the cleaning module according to the cleaning determination receipt, the cleaning module is connected to a dedicated cleaning circuit pipeline, forms an independent circulating cleaning channel, and is configured with a chemical cleaning agent storage tank, a circulating pump and a filtration unit.

[0091] The micro-channel dredging pretreatment module 13 is used for injecting low-pressure pulsed clean water flow into the high-flux heat exchanger based on the cleaning module, performing micro-channel dredging pretreatment, and monitoring the first outlet liquid turbidity in real time at the outlet. When the first outlet liquid turbidity is less than the set turbidity threshold, enter the directional chemical cleaning stage.

[0092] The targeted chemical cleaning evaluation module 14 is configured to perform deposit detection according to outlet liquid information in a targeted chemical cleaning stage, and perform targeted chemical cleaning evaluation according to the deposit detection result, and generate a targeted cleaning scheme.

[0093] The targeted chemical cleaning module 15 is configured to perform targeted chemical cleaning in a microcirculation mode according to the targeted cleaning scheme, and obtain in real time sensing information of inlet and outlet and health dead angle monitoring information, and feedback adjust the targeted cleaning scheme to perform closed-loop optimization adjustment.

[0094] Further, the targeted chemical cleaning evaluation module 14 is further configured to perform the following steps:

[0095] A deposit parameter feature vector is constructed based on the outlet liquid information, the deposit parameter feature vector including particle diameter distribution, conductivity change gradient and viscosity change trend; the deposit parameter feature vector is input into a deposit identification model to perform deposit type identification and accumulation strength analysis, and generate an initial detection result; the initial detection result is calibrated by credibility weighting in combination with historical cleaning response data of the heat exchanger, and a deposit detection result is generated.

[0096] Further, the targeted chemical cleaning evaluation module 14 is further configured to perform the following steps:

[0097] The deposit detection result includes deposit type, deposit accumulation amount and deposit clump density; a cleaning liquid type set is determined according to the deposit type; a cleaning liquid proportioning scheme is generated by one-time targeted evaluation based on the deposit accumulation amount and the deposit clump density in combination with the cleaning liquid type set, the cleaning liquid proportioning scheme including cleaning liquid concentration; heat exchanger tube wall information is obtained, and the cleaning liquid proportioning scheme is combined to perform two-time targeted evaluation, and the targeted cleaning scheme is generated, the targeted cleaning scheme including cleaning liquid concentration, cleaning liquid temperature, flushing flow rate and circulation time length.

[0098] Further, the targeted chemical cleaning evaluation module 14 is further configured to perform the following steps:

[0099] A nonlinear response model of deposit accumulation strength and cleaning liquid concentration is constructed, and a reverse prediction matrix is formed through a plurality of experimental samples, the reverse prediction matrix including a concentration-time joint matching table; the nonlinear response model is used to automatically fit a recommended concentration interval according to the deposit accumulation amount and the deposit clump density, and the reverse prediction matrix is used to calculate a minimum effective dissolution time corresponding to the recommended concentration interval, and a cleaning liquid proportioning scheme is generated.

[0100] Further, the directional chemical cleaning evaluation module 14 is further used to execute the following steps:

[0101] Collect the channel cross-sectional area, pipe wall material information, thickness information and corrosion resistance grade of the high flux heat exchanger, generate a structure risk constraint; based on the structure risk constraint, take the cleaning liquid concentration, cleaning liquid temperature, flushing flow rate and cycle length as adjustment parameters, and take cleaning efficiency and cleaning cost as optimization objectives, perform incremental optimization on the cleaning liquid ratio scheme, and generate the directional cleaning scheme.

[0102] Further, the chemical directional cleaning module 15 is further used to execute the following steps:

[0103] Sensor assemblies are arranged at the liquid inlet and outlet and the sanitary dead angle of the pipe wall respectively to obtain real-time liquid inlet and outlet sensing information and sanitary dead angle monitoring information, and the liquid inlet and outlet sensing information and the sanitary dead angle monitoring information have time identifiers; based on the liquid inlet and outlet sensing information and the sanitary dead angle monitoring information, periodic evaluation of cleaning effect is performed to generate multi-stage evaluation results; for the multi-stage evaluation results, adjacent period cleaning effect comparison is performed to generate a cleaning effect change curve; based on the cleaning effect change curve, the directional cleaning scheme is dynamically optimized in real time to generate an updated directional cleaning scheme, and the updated directional cleaning scheme is used to perform cleaning work in the next cleaning cycle; in this way, the directional cleaning scheme is periodically updated.

[0104] Further, the chemical directional cleaning module 15 is further used to execute the following steps:

[0105] Based on the trend slope, hysteresis interval and mutation point characteristics in the cleaning effect change curve, the cleaning effect decline stage and the platform stage are identified; in the effect decline stage, the cleaning liquid concentration or the flushing flow rate is increased, and in the effect platform stage, the cycle time is reduced, to generate the updated directional cleaning scheme.

[0106] Further, the system further comprises an ultrasonic auxiliary module for executing the following steps:

[0107] The deposition accumulation state change trend is monitored in real time, and if the accumulation state change amplitude is lower than the accumulation threshold, the ultrasonic vibration module is activated, the ultrasonic vibration module performs resonance disturbance on the inner wall of the structure through multi-frequency cooperative pulse oscillation, and combines the temperature stage of the current chemical cleaning reaction process to assist in breaking the scale structure.

[0108] Embodiment three, based on the same inventive concept as the high flux heat exchanger cleaning method in the foregoing embodiments, the present application also provides a computer readable storage medium, the storage medium stores a computer program, and the computer program is executed by a processor to realize the method in embodiment one.

[0109] The person skilled in the art can clearly understand the high-flux heat exchanger cleaning method, system and medium in the embodiment from the foregoing detailed description of the high-flux heat exchanger cleaning method. Therefore, for the sake of brevity of the specification, no further description is given herein. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant part can be referred to the method part.

[0110] The above description of disclosed embodiments enables a person skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0111] It should be noted that the above sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. The above describes specific embodiments of the present application. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are possible or can be advantageous.

[0112] The above is only the preferred embodiment of the present application, and does not limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

[0113] The present specification and drawings are only exemplary of the present application, and any and all modifications, changes, combinations or equivalents within the scope of the present application are considered to be covered by the present application. Obviously, those skilled in the art can make various modifications and changes to the present application without departing from the scope of the present application. Thus, if these modifications and changes of the present application belong to the scope of the present application and its equivalents, the present application is intended to include these modifications and changes.

Claims

1. A method of cleaning a high flux heat exchanger, characterized in that, The method comprises: Performing main channel cleanliness monitoring and performing periodic cleaning determination to generate a cleaning determination receipt; Activating a cleaning module according to the cleaning determination receipt, the cleaning module being connected to a special cleaning loop pipeline to form an independent circulating cleaning channel and being provided with a chemical cleaning agent storage tank, a circulating pump and a filtering unit; Based on the cleaning module, low-pressure pulsed water flow is injected into the high-flux heat exchanger to perform micro-channel dredging pretreatment, and the first outlet liquid turbidity is monitored in real time at the water outlet, and when the first outlet liquid turbidity is less than a set turbidity threshold, a directional chemical cleaning stage is entered; In the directional chemical cleaning stage, deposit detection is performed according to outlet liquid information at the water outlet, and directional chemical cleaning evaluation is performed according to the deposit detection result to generate a directional cleaning scheme, including: The deposit detection result includes deposit type, deposit accumulation amount and deposit clump density, and the deposit type is used to determine a cleaning liquid type set; Based on the deposit accumulation amount and the deposit clump density, a first directional evaluation is performed in combination with the cleaning liquid type set to generate a cleaning liquid proportioning scheme, and the cleaning liquid proportioning scheme includes cleaning liquid concentration; Heat exchanger tube wall information is acquired, a second directional evaluation is performed in combination with the cleaning liquid proportioning scheme to generate the directional cleaning scheme, and the directional cleaning scheme includes cleaning liquid concentration, cleaning liquid temperature, flushing flow rate and circulating time length; According to the directional cleaning scheme, chemical directional cleaning is performed in a micro-circulation mode, and inlet and outlet liquid port sensing information and sanitary dead angle monitoring information are acquired in real time to feedback adjust the directional cleaning scheme for closed-loop optimization and adjustment, including: Sensor assemblies are arranged at the inlet and outlet liquid ports and the sanitary dead angles of the tube wall respectively to acquire inlet and outlet liquid port sensing information and sanitary dead angle monitoring information in real time, and the inlet and outlet liquid port sensing information and the sanitary dead angle monitoring information are provided with time identifiers; Based on the inlet and outlet liquid port sensing information and the sanitary dead angle monitoring information, periodic cleaning effect evaluation is performed to generate multi-stage evaluation results; For the multi-stage evaluation results, adjacent period cleaning effect comparison is performed to generate a cleaning effect change curve; Based on the cleaning effect change curve, the directional cleaning scheme is dynamically optimized in real time to generate an updated directional cleaning scheme, and the updated directional cleaning scheme is used to perform cleaning work in the next cleaning cycle, and the directional cleaning scheme is periodically updated in this way.

2. The high flux heat exchanger cleaning method of claim 1, wherein, Deposit detection is performed according to outlet liquid information at the water outlet, including: A deposit parameter feature vector is constructed based on the outlet liquid information at the water outlet, and the deposit parameter feature vector includes particle diameter distribution, conductivity change gradient and viscosity change trend; The deposit parameter feature vector is input into a deposit identification model to perform deposit type identification and accumulation strength analysis to generate an initial detection result; The initial detection result is subjected to credibility weighted calibration to generate a deposit detection result in combination with heat exchanger historical cleaning response data.

3. The high flux heat exchanger cleaning method of claim 2, wherein, Based on the deposit accumulation amount and the deposit clump density, a first directional evaluation is performed in combination with the cleaning liquid type set to generate a cleaning liquid proportioning scheme, including: A nonlinear response model of sediment deposition intensity and cleaning liquid concentration is constructed, and a reverse prediction matrix containing a concentration-time joint matching table is formed through multiple sets of experimental samples; Using the nonlinear response model, a recommended concentration interval is automatically fitted according to the sediment accumulation amount and sediment clump density, and the minimum effective dissolution time corresponding to the recommended concentration interval is calculated in combination with the reverse prediction matrix to generate a cleaning liquid proportioning scheme.

4. The high flux heat exchanger cleaning method of claim 3, wherein, Obtain heat exchanger tube wall information, and perform secondary directional evaluation on the cleaning liquid proportioning scheme to generate the directional cleaning scheme, including: Collect the channel cross-sectional area, tube wall material information, thickness information, and corrosion resistance grade of the high-flux heat exchanger to generate a structure risk constraint; Based on the structure risk constraint as a constraint, taking the cleaning liquid concentration, cleaning liquid temperature, flushing flow rate, and circulation time length as adjustment parameters, and taking cleaning efficiency and cleaning cost as optimization objectives, the cleaning liquid proportioning scheme is subjected to incremental optimization to generate the directional cleaning scheme.

5. The high flux heat exchanger cleaning method of claim 1, wherein, Based on the cleaning effect change curve, the directional cleaning scheme is dynamically optimized in real time to generate an updated directional cleaning scheme, including: Based on the trend slope, lag interval, and mutation point characteristics in the cleaning effect change curve, the cleaning effect decline stage and the platform stage are identified; In the effect decline stage, the cleaning liquid concentration or the flushing flow rate is increased, and in the effect platform stage, the circulation time is reduced to generate the updated directional cleaning scheme.

6. The high flux heat exchanger cleaning method of claim 5, wherein, Including: Real-time monitoring of the sediment accumulation state change trend, if the accumulation state change amplitude is lower than the accumulation threshold, the ultrasonic vibration module is activated, the ultrasonic vibration module performs resonance disturbance on the inner wall of the structure through multi-frequency cooperative pulse oscillation, and the current chemical cleaning reaction process temperature stage is combined to assist in breaking the scale structure.

7. A high flux heat exchanger cleaning system characterized by, The system includes: A periodic cleaning determination module for monitoring the cleanliness of the main passage and determining periodic cleaning, and generating a cleaning determination receipt; A cleaning activation module for activating a cleaning module according to the cleaning determination receipt, the cleaning module being connected to a dedicated cleaning circuit pipeline to form an independent circulating cleaning channel, and being provided with a chemical cleaning agent storage tank, a circulating pump, and a filter unit; A micro-channel dredging pretreatment module for injecting low-pressure pulse water flow into the high-flux heat exchanger based on the cleaning module to perform micro-channel dredging pretreatment, and monitoring the first outlet liquid turbidity in real time at the water outlet, and when the first outlet liquid turbidity is less than a set turbidity threshold, entering a directional chemical cleaning stage; A directional chemical cleaning evaluation module for performing sediment detection according to the outlet liquid information at the water outlet during the directional chemical cleaning stage, and performing directional chemical cleaning evaluation according to the sediment detection result to generate a directional cleaning scheme; The directional chemical cleaning evaluation module is also used to perform the following steps: The sediment detection result includes the sediment type, sediment accumulation amount, and sediment clump density, and the cleaning liquid type set is determined according to the sediment type; Based on the sediment accumulation amount, sediment lump density, and in combination with the cleaning liquid type set, a one-time directional evaluation is performed to generate a cleaning liquid proportioning scheme, which includes cleaning liquid concentration; Heat exchanger tube wall information is obtained, and in combination with the cleaning liquid proportioning scheme, a second directional evaluation is performed to generate the directional cleaning scheme, which includes cleaning liquid concentration, cleaning liquid temperature, flushing flow rate, and cycle duration; A chemical directional cleaning module is configured to perform chemical directional cleaning in a micro-circulation mode according to the directional cleaning scheme, and to obtain real-time in-out liquid port sensing information and sanitary dead angle monitoring information, to feed back and adjust the directional cleaning scheme, and to perform closed-loop optimization and adjustment; The chemical directional cleaning module is further configured to perform the following steps: Sensor assemblies are arranged at in-out liquid ports and tube wall sanitary dead angles respectively to obtain real-time in-out liquid port sensing information and sanitary dead angle monitoring information, which are provided with time identifiers; Based on the in-out liquid port sensing information and sanitary dead angle monitoring information, a cleaning effect periodic evaluation is performed to generate multi-stage evaluation results; For the multi-stage evaluation results, adjacent cycle cleaning effect comparisons are performed to generate a cleaning effect change curve; Based on the cleaning effect change curve, the directional cleaning scheme is dynamically optimized in real time to generate an updated directional cleaning scheme, and the updated directional cleaning scheme is used to perform cleaning work in the next cleaning cycle, and the process is repeated to periodically update the directional cleaning scheme.

8. A computer-readable storage medium, characterized in that, The storage medium has a computer program stored thereon, and the computer program is executed by the processor to implement the steps of the method of any one of claims 1 to 6.

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