High-flux heat exchanger cleaning method and system and medium

Abstract

The invention discloses a high-flux heat exchanger cleaning method and system and a medium, and relates to the technical field of energy-saving cleaning, the method comprises the following steps: monitoring the cleanliness of a main passage, performing periodic cleaning judgment, and activating a cleaning module according to a cleaning judgment receipt; the micro-channel dredging pretreatment is firstly carried out based on the cleaning module, the directional chemical cleaning stage is carried out according to the turbidity of outlet liquid of a water outlet, a directional cleaning scheme is generated according to a sediment detection result to execute chemical cleaning, and closed-loop optimization adjustment is carried out by feeding back and adjusting the cleaning scheme in real time. The technical problems that in the prior art, a micro-channel structure of a high-flux heat exchanger is large in cleaning difficulty and high in deposit accumulation speed, a traditional cleaning method cannot efficiently and accurately remove deposits, and the cleaning efficiency and the energy utilization rate are low are solved, and the aim of improving the cleaning efficiency and the energy utilization rate is achieved through real-time monitoring, directional cleaning evaluation and a closed-loop feedback regulation mechanism. The technical effects that automatic dynamic cleaning control is achieved, the cleaning efficiency is improved, and energy consumption is reduced are achieved.

Description

Technical Field

[0001] The present invention relates to the field of energy-saving cleaning technology, and in particular to a high-flux heat exchanger cleaning method, system and medium. Background Art

[0002] High-throughput heat exchangers utilize a microchannel design, which improves heat exchange efficiency and reduces size. They are widely used in the chemical, energy, aerospace, and other fields. Compared to conventional heat exchangers, the narrow microchannel structure of high-throughput heat exchangers makes cleaning more complicated. Especially at high flow rates, the large amount of fluid passing through causes sediment to accumulate rapidly, easily forming difficult-to-clean deposits inside the heat exchanger, especially in areas with sanitary blind spots. Due to the narrow microchannels, traditional cleaning methods often have difficulty effectively accessing these blind spots, resulting in incomplete removal of deposits, which in turn affects heat exchange efficiency and the long-term stability of the equipment.

[0003] In addition, traditional cleaning methods such as reverse water flow cleaning and ordinary chemical cleaning are often unable to accurately control the concentration and flow rate of the cleaning liquid due to the limited flow and range of the cleaning liquid, resulting in unstable cleaning effects and serious waste of cleaning resources. Summary of the Invention

[0004] The present application provides a high-throughput heat exchanger cleaning method, system and medium, which are used to solve the technical problems in the prior art that the microchannel structure of the high-throughput heat exchanger is difficult to clean and the sediment accumulates quickly, the traditional cleaning method cannot remove the sediment efficiently and accurately, and the cleaning efficiency and energy utilization rate are low.

[0005] The first aspect of the present application provides a high-flux heat exchanger cleaning method, which includes: monitoring the cleanliness of the main channel, performing periodic cleaning judgments, and generating a cleaning judgment receipt; activating a cleaning module based on the cleaning judgment receipt, the cleaning module being connected to a dedicated cleaning loop pipeline to form an independent circulating cleaning channel, and being equipped with a chemical cleaning agent storage tank, a circulation pump, and a filtration unit; injecting a low-pressure pulsed clean water flow into the high-flux heat exchanger based on the cleaning module to perform microchannel dredging pretreatment, and monitoring the first outlet turbidity in real time at the outlet, and entering a directional chemical cleaning stage when the first outlet turbidity is less than a set turbidity threshold; in the directional chemical cleaning stage, performing sediment detection based on the outlet outlet information, and performing a directional chemical cleaning evaluation based on the sediment detection results to generate a directional cleaning plan; according to the directional cleaning plan, performing chemical directional cleaning in a microcirculation mode, and obtaining inlet and outlet sensor information and sanitary dead corner monitoring information in real time, feedback-adjusting the directional cleaning plan, and performing closed-loop optimization adjustment.

[0006] The second aspect of the present application provides a high-flux heat exchanger cleaning system, the system comprising: a periodic cleaning determination module, the periodic cleaning determination module is used to monitor the cleanliness of the main channel, perform periodic cleaning determinations, and generate a cleaning determination receipt; a cleaning activation module, the cleaning activation module is used to activate the cleaning module according to the cleaning determination receipt, the cleaning module is connected to a dedicated cleaning loop pipeline to form an independent circulating cleaning channel, and is equipped with a chemical cleaning agent storage tank, a circulation pump and a filter unit; a microchannel dredging pretreatment module, the microchannel dredging pretreatment module is used to inject a low-pressure pulsed clean water flow into the high-flux heat exchanger based on the cleaning module to perform micro- Channel dredging pretreatment, and real-time monitoring of the first liquid outlet turbidity at the outlet. When the first liquid outlet turbidity is less than the set turbidity threshold, the directional chemical cleaning stage is entered; a directional chemical cleaning evaluation module, the directional chemical cleaning evaluation module is used to perform sediment detection according to the liquid outlet information in the directional chemical cleaning stage, and perform directional chemical cleaning evaluation based on the sediment detection results to generate a directional cleaning plan; a chemical directional cleaning module, the chemical directional cleaning module is used to perform chemical directional cleaning in microcirculation mode according to the directional cleaning plan, and obtain inlet and outlet sensor information and sanitary dead corner monitoring information in real time, feedback adjust the directional cleaning plan, and perform closed-loop optimization adjustment.

[0007] According to a third aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the method of the first aspect is implemented.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages: The high-throughput heat exchanger cleaning method, system and medium provided in the present application relate to the field of energy-saving cleaning technology. According to real-time cleaning needs, the cleaning module is activated to clear the microchannel, and the directional chemical cleaning stage is entered according to the turbidity of the liquid outlet. A directional cleaning plan is generated according to the sediment detection results, and chemical cleaning is performed in the microcirculation mode. Closed-loop optimization and adjustment are performed through real-time sensor information. The technical problems in the prior art that the microchannel structure of the high-throughput heat exchanger is difficult to clean and the sediment accumulates quickly, the traditional cleaning method cannot remove the sediment efficiently and accurately, and the cleaning efficiency and energy utilization rate are low are solved. The technical effects of automated dynamic cleaning control, improved cleaning efficiency and reduced energy consumption are achieved through real-time monitoring, directional cleaning evaluation and closed-loop feedback adjustment mechanism. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0010] Figure 1 A schematic flow chart of a high-flux heat exchanger cleaning method provided in an embodiment of the present application; Figure 2 Schematic diagram of the structure of the high-throughput heat exchanger cleaning system provided in an embodiment of the present application.

[0011] Description of the reference numerals: periodic cleaning determination module 11 , cleaning activation module 12 , microchannel dredging pretreatment module 13 , directed chemical cleaning evaluation module 14 , chemical directed cleaning module 15 . DETAILED DESCRIPTION

[0012] The present application provides a high-throughput heat exchanger cleaning method, system and medium, which are used to solve the technical problems in the prior art that the microchannel structure of the high-throughput heat exchanger is difficult to clean and the sediment accumulates quickly, the traditional cleaning method cannot remove the sediment efficiently and accurately, and the cleaning efficiency and energy utilization rate are low.

[0013] The following will be combined with the accompanying drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only some of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0014] It should be noted that the terms "first", "second", etc. in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, 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 clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products or devices.

[0015] Example 1, as Figure 1 As shown, the present application provides a high-flux heat exchanger cleaning method, the method comprising: P10: Monitor the cleanliness of the main passage, perform periodic cleaning judgments, and generate a cleaning judgment receipt.

[0016] Specifically, in this step, the main channel of the high-throughput heat exchanger must first be monitored for cleanliness in real time to ensure that the heat exchanger maintains excellent heat exchange efficiency during operation. To this end, sensor assemblies are installed at the inlet and outlet of the heat exchanger's main channel. These sensors continuously monitor key fluid parameters, including flow rate, turbidity, conductivity, and particle concentration. The flow sensor monitors changes in fluid flow rate. By monitoring the flow rate, it can indirectly indicate whether there is blockage or increased resistance to fluid flow within the heat exchanger. The turbidity sensor measures the concentration of suspended particles in the fluid. An increase in turbidity typically indicates a large amount of sediment accumulated in the heat exchanger channel, resulting in a decrease in heat exchange efficiency. The conductivity sensor measures the fluid's conductivity to reflect changes in water quality. Conductivity is generally proportional to the concentration of dissolved ions in water. A significant change in conductivity may indicate the accumulation of large amounts of minerals or metal oxides within the heat exchanger, which can affect its performance. The particle concentration sensor measures the number and size of particles in the fluid in real time, further indicating whether the heat exchanger channel is clogged by sediment.

[0017] Real-time monitoring data for all these parameters is transmitted to a central control system, where cleaning decisions are made based on preset periodic cleaning judgment rules. These rules can be developed based on long-term experimental data and actual operating experience, taking into account the output information of various sensors, such as flow rate, turbidity, conductivity, and so on, and making periodic judgments based on preset cleaning standards, such as whether a threshold for cleaning has been reached. For example, when the turbidity value exceeds the set threshold, it indicates that the cleanliness of the main passage has dropped to a level that requires cleaning; when changes in pressure and flow rate exceed the allowable range, it indicates that there may be a blockage problem inside the heat exchanger and timely cleaning is required; similarly, abnormal changes in the inlet and outlet temperature difference can also trigger a cleaning decision. This multi-parameter comprehensive judgment method can more accurately determine whether the heat exchanger needs cleaning operations, avoiding misjudgments caused by accidental fluctuations in a single parameter.

[0018] Finally, a cleaning decision receipt is generated based on the results of the periodic cleaning assessment. This receipt details the monitored parameter data, the basis for the assessment, and the conclusion on whether cleaning is necessary. The cleaning decision receipt is not only an important basis for subsequent cleaning module activation, but also provides a detailed record for equipment maintenance and management, facilitating the traceability and analysis of the heat exchanger's operating status. Main channel cleanliness monitoring and periodic cleaning assessment methods can effectively ensure the efficient operation of high-throughput heat exchangers, extend equipment life, and reduce production losses caused by equipment failures.

[0019] P20: Activate the cleaning module according to the cleaning determination receipt. The cleaning module is connected to a dedicated cleaning circuit pipeline to form an independent circulation cleaning channel and is equipped with a chemical cleaning agent storage tank, a circulation pump and a filter unit.

[0020] Optionally, the system will determine whether to activate the cleaning module based on the cleaning determination result. If the determination indicates that cleaning is necessary, the cleaning module is automatically activated and linked to the cleaning module via control system commands. Once the cleaning module is activated, the system connects to a cleaning circuit designed specifically for cleaning. This circuit is completely independent of the high-throughput heat exchanger's cleaning system, ensuring that the cleaning process does not interfere with the normal operation of the heat exchanger.

[0021] The configuration of the cleaning module is key to achieving efficient cleaning. Its main components include a chemical cleaning agent reservoir, a circulation pump, and a filtration unit. The chemical cleaning agent reservoir contains a specific cleaning fluid carefully selected based on the type and accumulation of deposits. These fluids typically include detergents, dissolvers, and degreasers, providing a powerful cleaning effect. Through system control, the concentration, dosage, and injection method of the cleaning agent can be precisely adjusted to ensure the most efficient dissolution of deposits during the cleaning process.

[0022] The circulation pump is the key power component of the cleaning module, driving the cleaning fluid through independent circulation cleaning channels. The selection of the circulation pump needs to be optimized based on the structure of the heat exchanger, the properties of the cleaning fluid, and the cleaning flow requirements. Through the continuous action of the circulation pump, the cleaning fluid can form a stable flow state inside the heat exchanger, ensuring full contact between the cleaning agent and the deposits, thereby improving cleaning efficiency. At the same time, the flow rate and pressure of the circulation pump can be dynamically adjusted according to the cleaning plan to meet the needs of different cleaning intensities, ensuring that the cleaning fluid can effectively cover all areas requiring cleaning, including those that are more hidden and difficult to reach.

[0023] The filtration unit is another key component of the cleaning module. Its function is to filter the cleaning fluid during the cleaning process, removing impurities and loose sediment generated during the cleaning process. The filtration unit can adopt a multi-stage filtration design, including coarse filtration and fine filtration. Coarse filtration is mainly used to remove larger particles to protect the subsequent fine filtration unit and circulation pump; fine filtration can effectively remove fine particles, ensuring that the cleaning fluid maintains a high level of cleanliness during the circulation process. The installation of the filtration unit not only improves cleaning results, but also extends the service life of the cleaning agent and reduces cleaning costs.

[0024] Throughout the entire cleaning process, the cleaning circuit piping is completely isolated from the heat exchanger's normal operating circuit, preventing any external contamination or cleaning fluid leakage from affecting the heat exchanger's heat exchange performance. This independent cleaning circuit system ensures that internal deposits are thoroughly removed while maintaining stable and safe operation.

[0025] P30: Based on the cleaning module, a low-pressure pulsed clean water flow is injected into the high-flux heat exchanger to perform microchannel dredging pretreatment, and the turbidity of the first outlet liquid is monitored in real time at the outlet. When the turbidity of the first outlet liquid is less than the set turbidity threshold, the directional chemical cleaning stage is entered.

[0026] It should be understood that after the cleaning module is activated, the microchannels inside the heat exchanger are first pre-treated by injecting a low-pressure pulse clean water flow. The low-pressure pulse 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 pulse water flow has the characteristic of instantaneous high-pressure impact, which can effectively impact and loosen the sediment attached to the channel wall without damaging the microchannel of the heat exchanger, thereby achieving the dredging of the microchannel. This dredging method is particularly suitable for the complex and narrow microchannel structure inside the high-throughput heat exchanger, and can effectively avoid channel damage or deformation caused by excessive pressure. The core of this stage is to use the impact force of the pulse flow to help loosen the loose sediments inside the microchannel and accelerate their shedding.

[0027] While injecting low-pressure pulsed clean water, the turbidity of the first outlet liquid is monitored in real time at the heat exchanger's outlet. Turbidity is a key indicator of suspended particle content in water, and the turbidity sensor provides real-time information on the turbidity of the outlet liquid. When the turbidity of the first outlet liquid falls below the set turbidity threshold, it indicates that the sediment within the microchannel has been largely removed and the water cleanliness has reached the standard for entering the targeted chemical cleaning phase. At this point, the system automatically stops injecting low-pressure pulsed clean water and prepares to enter the targeted chemical cleaning phase.

[0028] In this step, the turbidity threshold is a pre-determined parameter based on the heat exchanger's operating requirements and cleaning standards. Setting this threshold requires comprehensive consideration of factors such as the heat exchanger's material, microchannel structure, sediment type, and post-cleaning water quality requirements. By setting this threshold scientifically and rationally, we can ensure optimal microchannel dredging pretreatment results while avoiding resource waste and equipment loss caused by excessive cleaning.

[0029] The targeted chemical cleaning stage deeply removes stubborn deposits that remain tightly attached to the heat exchanger surface and are difficult to remove through physical cleaning. By monitoring turbidity changes and comparing them to set thresholds, real-time feedback is provided to ensure the cleaning process is carried out as needed, avoiding unnecessary cleaning time and chemical cleaning agents.

[0030] Key to this stage is the low-pressure setting for pulse cleaning and real-time turbidity monitoring. The low-pressure, pulsed clean water flow effectively avoids excessive impact on the channels within the high-throughput heat exchanger. Using real-time monitoring data as feedback, the cleaning schedule is dynamically adjusted, effectively improving cleaning effectiveness and ensuring safe operation of the heat exchanger.

[0031] P40: During the directional chemical cleaning stage, sediment detection is performed based on the outlet liquid information, and based on the sediment detection results, a directional chemical cleaning evaluation is performed to generate a directional cleaning plan.

[0032] Furthermore, step P40 in this embodiment of the present application further includes: P41: Construct a sediment parameter characteristic vector based on the outlet liquid information, and the sediment parameter characteristic vector includes particle diameter distribution, conductivity change gradient and viscosity change trend; P42: Input the sediment parameter characteristic vector into the sediment identification model to perform sediment type identification and stacking strength analysis to generate an initial detection result; P43: Combined with the historical cleaning response data of the heat exchanger, the initial detection result is calibrated with credibility weighting to generate a sediment detection result.

[0033] Optionally, after entering the directional chemical cleaning stage, it is first necessary to detect sediments based on the real-time discharge information of the fluid at the outlet. By analyzing the discharge information of the outlet, including parameters such as chemical composition, particle size, conductivity, viscosity, etc., a sediment parameter feature vector is constructed. This feature vector covers key indicators such as the particle diameter distribution of the sediment, the conductivity change gradient, and the viscosity change trend, providing basic data for subsequent sediment identification and analysis. Among them, the particle diameter distribution is monitored by a particle size sensor, providing the size distribution of sediment particles in the fluid. The size of the particles directly affects the difficulty of removing the sediment. Larger particles are usually easier to remove, while tiny particles may cause microchannels to clog or adhere to the pipe wall. The conductivity change gradient reflects the change in the concentration of dissolved substances in the fluid, which is usually related to the accumulation of deposits such as scale and minerals. The change in conductivity can indirectly reveal the degree of sediment accumulation. Especially in water treatment or heat exchange equipment, it is often necessary to judge the scaling situation based on the fluctuation of conductivity. Viscosity trending monitors changes in liquid viscosity over time. An increase in viscosity typically indicates that deposits have accumulated in the pipe and may form a more adherent material.

[0034] The sediment parameter feature vector is then fed into a pre-built sediment identification model. Based on historical data and existing sediment type information, the model uses machine learning, pattern recognition, or statistical analysis to classify and identify sediment types (e.g., scale, oil, metal oxide, etc.). The model also analyzes the sediment accumulation intensity and assesses its compactness and distribution. This process not only identifies the specific sediment type (e.g., carbonate scale, silica scale, or iron oxide scale), but also assesses the sediment accumulation within the heat exchanger, providing a preliminary assessment basis for targeted chemical cleaning.

[0035] To further improve the accuracy and reliability of test results, the initial test results can be calibrated using a confidence-weighted approach, combining historical cleaning response data from the heat exchanger. This data includes data on the relationship between different deposit types and cleaning effectiveness during previous cleaning processes, as well as parameters such as the specific cleaning fluid ratio and cleaning intensity used during the cleaning process. By comparing and weighting this historical data with the current test results, the system can eliminate errors caused by changes in the external environment or differences in equipment status, ensuring that the final deposit detection results are more accurate and reliable.

[0036] Ultimately, the confidence-weighted, calibrated deposit detection results serve as the basis for generating a targeted cleaning plan. Based on this data, the system accurately formulates a highly targeted cleaning plan. This plan specifies key parameters such as the type of cleaning chemical, concentration, cleaning time, and temperature to ensure the cleaning process efficiently and thoroughly removes deposits while minimizing corrosion and damage to the heat exchanger material.

[0037] Furthermore, step P40 in this embodiment of the present application further includes: P44: The sediment detection results include sediment type, sediment accumulation amount, and sediment agglomeration density; P45: Determine a set of cleaning fluid types based on the sediment type; P46: Based on the sediment accumulation amount and sediment agglomeration density, a directional evaluation is performed in combination with the cleaning fluid type set to generate a cleaning fluid ratio scheme, and the cleaning fluid ratio scheme includes the cleaning fluid concentration; P47: Obtain the heat exchanger tube wall information, and perform a secondary directional evaluation in combination with the cleaning fluid ratio scheme to generate the directional cleaning scheme, which includes the cleaning fluid concentration, cleaning fluid temperature, flushing flow rate, and circulation time.

[0038] Specifically, the generation process of the targeted chemical cleaning solution can be further refined to ensure that the cleaning operation can accurately target the actual situation of deposits inside the heat exchanger.

[0039] After the sediment test is completed, the generated sediment test results will include key information such as sediment type, sediment accumulation, and sediment agglomeration density. Sediment type refers to the specific physical properties of the sediment, such as scale, oil, metal oxides, bacterial colonies, etc., while accumulation refers to the total amount of sediment accumulated on the heat exchanger surface or in the pipeline, usually expressed as the weight of sediment per unit area (such as g / m 2 The agglomeration density reflects the compactness of the deposits in the heat exchanger. Deposits with higher agglomeration density will make cleaning more difficult because they are more firmly attached to the surface.

[0040] First, the appropriate set of cleaning fluids is determined based on the deposit type. Different types of deposits require different cleaning fluids to dissolve or remove them. For example, an acidic cleaning fluid might be selected to dissolve minerals for scale, while an organic solvent might be used for oil stains. The system automatically selects the appropriate set of cleaning fluids based on the deposit type, including but not limited to acidic, alkaline, and organic solvents, to ensure the cleaning fluid has the best dissolution and removal effect on the deposits.

[0041] Next, a targeted assessment is conducted based on the sediment accumulation and sediment agglomeration density, combined with the identified set of cleaning fluid types, to generate a cleaning fluid ratio plan. Sediment accumulation reflects the total amount of sediment, while agglomeration density indicates how compact the sediment is. These two factors together determine the cleaning fluid concentration. For example, sediments with large accumulations and high agglomeration density may require a higher concentration of cleaning fluid for effective cleaning. Therefore, the cleaning fluid ratio plan will include specific cleaning fluid concentrations to ensure optimal cleaning performance.

[0042] Furthermore, information about the heat exchanger tube wall is obtained, including parameters such as the tube wall material, thickness, and corrosion resistance. Combined with the cleaning fluid ratio plan, a secondary directional evaluation is performed. This step is very important because tube walls of different materials have different adaptability to cleaning fluids, and some cleaning fluids may cause corrosion or wear to the tube wall at high concentrations. For example, some tube wall materials may be sensitive to high temperatures or susceptible to erosion corrosion at high flow rates. Therefore, the directional cleaning plan not only includes the cleaning fluid concentration, but also needs to adjust the cleaning fluid temperature, flushing flow rate, and cycle time according to the tube wall information to ensure that the cleaning process can effectively remove deposits without causing damage to the heat exchanger tube wall. Ultimately, the generated directional cleaning plan will include parameters such as cleaning fluid concentration, cleaning fluid temperature, flushing flow rate, and cycle time. By adjusting these parameters, the system can achieve refined cleaning of different deposits, making the cleaning process both efficient and safe.

[0043] Overall, the inclusion of multi-dimensional data, including sediment type, accumulation, agglomeration density, and tube wall information, makes cleaning plans more intelligent and precise. Through targeted assessment, parameters such as the cleaning fluid ratio, temperature, and flow rate can be dynamically adjusted based on specific circumstances, ensuring maximum efficiency during the cleaning process while avoiding unnecessary damage to the heat exchanger equipment.

[0044] Furthermore, step P46 of the embodiment of the present application further includes: P46-1: Construct a nonlinear response model of sediment deposition intensity and cleaning fluid concentration, and form a reverse prediction matrix through multiple groups of experimental samples. The reverse prediction matrix contains a concentration-time joint matching table; P46-2: Utilize the nonlinear response model to automatically fit and generate a recommended concentration range based on the sediment accumulation amount and sediment agglomeration density, and calculate the minimum effective dissolution time corresponding to the recommended concentration range in combination with the reverse prediction matrix to generate a cleaning fluid ratio scheme.

[0045] Optionally, the generation process of the cleaning solution ratio scheme can be further refined, and the precise optimization of the cleaning solution concentration and dissolution time can be achieved by constructing a nonlinear response model and a reverse prediction matrix.

[0046] First, based on experimental data, a nonlinear response model is constructed to determine the relationship between sediment deposition intensity and cleaning fluid concentration. Deposits deposition intensity is typically closely related to factors such as sediment type, accumulation, and agglomeration density. The stronger the sediment deposition, the more firmly adhered it is, and the more difficult it is to clean. Therefore, using this nonlinear response model, the system can establish a precise relationship between sediment deposition intensity and the required cleaning fluid concentration, ensuring that deposits of varying strengths can be treated with the appropriate cleaning fluid concentration. For example, cleaning experiments are conducted on different types of deposits (such as scale, grease, and metal oxides), and experimental data samples are collected on cleaning fluid concentration and cleaning effectiveness (such as sediment solubility and removal efficiency). Using multiple sets of experimental data samples, mathematical statistics are used to analyze the effects of different cleaning fluid concentrations on different types of deposits, forming a nonlinear response model.

[0047] At the same time, cleaning experiments were conducted on multiple sets of experimental samples, measuring sediment types, accumulation amounts, and agglomeration densities. The required cleaning solution concentration for each type of sediment was determined, thereby forming a reverse prediction matrix. This matrix includes a concentration-time matching table, which records the minimum dissolution time (i.e., the shortest dissolution time) required for different cleaning solution concentrations to ensure complete sediment dissolution and removal. This table can recommend the optimal matching value between cleaning solution concentration and cleaning time based on the different sediment accumulation conditions.

[0048] In practice, the established nonlinear response model can be used to automatically fit a recommended concentration range based on the measured sediment accumulation and sediment agglomeration density. Accumulation and agglomeration density are key factors affecting cleaning effectiveness. A larger accumulation or higher agglomeration density requires a higher cleaning solution concentration and a longer dissolution time to effectively remove sediment. By automatically fitting the model, the system calculates a recommended concentration range based on these sediment characteristics. This range indicates the appropriate cleaning solution concentration range to ensure effective sediment dissolution and removal.

[0049] At the same time, combined with the reverse prediction matrix, the minimum effective dissolution time corresponding to the recommended concentration range is further calculated. The minimum effective dissolution time is the shortest time within a given concentration range that ensures complete dissolution of the sediment. This calculation process takes into account a variety of factors, including sediment type, accumulation, agglomeration density, and the chemical properties of the cleaning fluid. Ultimately, based on the recommended concentration range and minimum effective dissolution time, a precise cleaning fluid ratio is generated. This ratio includes not only the cleaning fluid concentration but also other cleaning parameters (such as temperature and flow rate), ensuring that each cleaning achieves the best results, avoiding waste of resources and reducing damage to equipment.

[0050] Furthermore, step P47 of the embodiment of the present application further includes: P47-1: Collect the channel cross-sectional area, tube wall material information, thickness information and corrosion resistance grade of the high-throughput heat exchanger to generate structural risk constraints; P47-2: Based on the structural risk constraints, with the cleaning liquid concentration, cleaning liquid temperature, flushing flow rate and circulation time as adjustment parameters, and with cleaning efficiency and cleaning cost as optimization goals, the cleaning liquid ratio scheme is optimized by adding items to generate the directional cleaning scheme.

[0051] In one possible embodiment of the present application, the process of generating a targeted cleaning solution can be further improved. Specifically, structural risk constraints are first generated by collecting key parameters of the high-throughput heat exchanger, such as the channel cross-sectional area, pipe wall material information, thickness information, and corrosion resistance level. These parameters are crucial to the design of the cleaning solution, as different pipe sizes, materials, and thicknesses have a direct impact on the adaptability and cleaning intensity of the cleaning fluid. The cross-sectional area of ​​the pipe determines the amount of space the cleaning fluid can flow, while the material and thickness of the pipe wall determine the corrosiveness, temperature tolerance, 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 ingredients 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 structural risk constraints, namely, during the cleaning process, it must be ensured that the parameters used for the cleaning fluid do not exceed the tolerance of the heat exchanger structure. For example, if the heat exchanger tube wall is made of stainless steel with a low corrosion resistance level, the system will limit the concentration and temperature of the cleaning fluid to avoid damaging the pipes.

[0052] Based on structural risk constraints, the cleaning fluid ratio scheme is optimized by using cleaning fluid concentration, cleaning fluid temperature, flushing flow rate and cycle time as adjustment parameters. First, the system sets the initial concentration, temperature, flow rate and cycle time range of the cleaning fluid, and then gradually adjusts these parameters through a multi-objective optimization algorithm. For each parameter, the system will evaluate its impact on cleaning efficiency and cost. During the adjustment process, changes in cleaning fluid concentration will directly affect the cleaning solubility, but the risk of corrosion to equipment caused by excessively high concentrations must also be considered; the temperature of the cleaning fluid will affect the cleaning speed, but excessively high temperatures may damage the pipe wall, so the system will optimize the temperature setting based on the temperature resistance of the pipe wall material; the flushing flow rate determines the flushing efficiency of the cleaning fluid. Too low a flow rate may result in incomplete cleaning, while too high a flow rate may waste cleaning fluid; the cycle time is an important factor in the cleaning process. Too long a time will increase costs, while too short a time may affect the cleaning effect. The system comprehensively evaluates these factors and performs multi-objective optimization calculations through multi-dimensional optimization algorithms (such as genetic algorithms, simulated annealing algorithms, etc.). It comprehensively evaluates cleaning effects, resource consumption, and equipment safety, calculates the cleaning effect and cleaning cost under each parameter combination, and makes adjustments based on the optimization goals to ensure the optimal balance between cleaning efficiency and cost.

[0053] Ultimately, based on the results of the incremental optimization process, an updated directional cleaning plan is generated. This plan incorporates optimized parameters such as cleaning fluid concentration, temperature, flow rate, and cycle duration, ensuring maximum cleaning effectiveness without compromising the equipment structure. This generated directional cleaning plan is used in subsequent cleaning operations and further adjusted during execution based on real-time data to ensure optimal cleaning results each time, thereby extending equipment life and reducing resource waste.

[0054] P50: According to the directional cleaning scheme, chemical directional cleaning is performed in microcirculation mode, and the inlet and outlet sensor information and sanitary dead corner monitoring information are obtained in real time, and the directional cleaning scheme is adjusted through feedback to perform closed-loop optimization adjustment.

[0055] Furthermore, step P50 in the embodiment of the present application further includes: P51: Sensor components are respectively set at the liquid inlet and outlet and the sanitary dead corner of the pipe wall to obtain the liquid inlet and outlet sensing information and the sanitary dead corner monitoring information in real time, and the liquid inlet and outlet sensing information and the sanitary dead corner monitoring information are time-stamped; P52: Based on the liquid inlet and outlet sensing information and the sanitary dead corner monitoring information, the cleaning effect is periodically evaluated to generate a multi-stage evaluation result; P53: Based on the multi-stage evaluation result, the cleaning effects of adjacent cycles are compared to generate a cleaning effect change curve; P54: 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 the cleaning work of the next cleaning cycle; P55: And so on, the directional cleaning scheme is periodically updated.

[0056] It should be understood that, based on the directional cleaning scheme, chemical directional cleaning is performed through a microcirculation mode, and feedback adjustment is performed in combination with real-time monitoring information to ensure the efficiency and accuracy of the cleaning process.

[0057] First, sensor assemblies are installed at the liquid inlets and outlets and at sanitary blind spots on the heat exchanger's tube walls to collect relevant monitoring data in real time. The inlet and outlet sensors are used to detect flow-related parameters such as flow rate, temperature, and turbidity, while the sanitary blind spot monitoring assembly is responsible for monitoring difficult-to-reach areas within the heat exchanger, which are often easily overlooked by traditional cleaning methods. By deploying sensors in these key locations, the system can obtain real-time sensor information from the liquid inlets and outlets and sanitary blind spot monitoring information at various locations. This information not only includes the basic fluid parameters of the cleaning fluid but also carries a time stamp, providing time series data support for subsequent dynamic adjustments.

[0058] Next, based on real-time sensor data collected from the inlet and outlet ports and blind spot monitoring, a periodic evaluation of cleaning effectiveness is conducted. This analysis analyzes cleaning results over different time periods, assesses cleaning progress and the effectiveness of the cleaning fluid, and generates a set of multi-stage evaluation results. By comparing monitoring data at different time points during the cleaning process, these multi-stage evaluation results can determine in real time whether the cleaning fluid is adequately dissolving sediment and whether any blind spots are being effectively cleaned.

[0059] The multi-stage evaluation results are then compared for cleaning performance in adjacent cycles, and a cleaning performance curve is generated from these comparisons. This curve reflects the changing cleaning performance at each stage of the cleaning process. This curve visually demonstrates the dynamic changes in cleaning performance during the cleaning process and can be used to identify critical nodes and potential problems in the cleaning process. For example, if the cleaning performance curve shows a consistent decrease in cleaning performance in a particular area over multiple cycles, this may indicate difficult-to-remove deposits or structural issues in that area.

[0060] Based on the cleaning effect change curve, the directional cleaning plan is dynamically optimized in real time. This means that the system can adjust according to the trend in the change curve and optimize parameters such as the concentration, temperature, flow rate and cleaning time of the cleaning liquid. The optimized cleaning plan will ensure that appropriate reinforcement is made during the stage of reduced cleaning efficiency, or the flow rate and time are adjusted during the cleaning effect plateau period to reduce resource waste. The optimized updated directional cleaning plan will be applied to the next round of cleaning cycle to ensure that the best effect is achieved every time. This dynamic optimization process ensures that the cleaning plan can be adjusted according to real-time monitoring data, thereby improving cleaning efficiency and effect.

[0061] Finally, the targeted cleaning plan is periodically updated and optimized based on feedback from each cleaning process. This continuous optimization cycle ensures that the cleaning plan is always optimal and can adapt to changes in the type and amount of deposits inside the heat exchanger, thereby ensuring the long-term effectiveness of the cleaning process.

[0062] Furthermore, step P54 of the embodiment of the present application also includes: P54-1: Based on the trend slope, hysteresis interval and mutation point characteristics in the cleaning effect change curve, identify the cleaning effect decline stage and platform stage; P54-2: In the effect decline stage, increase the cleaning liquid concentration or flushing flow rate, and in the effect platform stage, reduce the cycle time to generate the updated directional cleaning plan.

[0063] Specifically, based on the analysis results of the cleaning effect change curve, more refined dynamic optimization adjustments can be made to ensure that the effects of the cleaning process at different stages are maximized.

[0064] First, a detailed analysis of the cleaning effect change curve is performed. By analyzing the trend slope in the curve, it can be determined whether the cleaning effect is in an ascending stage, a plateau stage, or a descending 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 enters the plateau stage, indicating that the effect of the cleaning fluid has reached a stable level; and if the slope of the curve decreases, it means that the cleaning effect has decreased, and the efficiency of dissolving or stripping the deposits has decreased. In addition to the trend slope, the system also needs to identify the hysteresis interval and mutation point characteristics. The hysteresis interval reflects the response delay of the cleaning effect, while the mutation point refers to the moment when the cleaning effect changes significantly. By comprehensively considering these characteristics, the system can accurately identify the different stages of the cleaning process and take appropriate optimization measures for each stage.

[0065] If it is identified that the cleaning effect is in a declining stage, the system will increase the cleaning fluid concentration or flushing flow rate to enhance the dissolving ability and physical impact force of the cleaning fluid to ensure that the deposits can be completely removed. Increasing the concentration helps to enhance the chemical dissolving ability of the cleaning fluid, while increasing the flow rate can increase the impact force of the liquid, promoting the loosening and removal of deposits. For example, if the current cleaning fluid concentration is 5%, it can be increased to 8% according to actual conditions. At the same time, you can also choose to increase the flushing flow rate to enhance the flushing effect of the cleaning fluid on the deposits. For example, increase the flushing flow rate from 1 m / s to 1.5 m / s. These adjustments can help overcome the stubbornness of deposits and improve cleaning efficiency.

[0066] During the plateau phase of cleaning effectiveness, the cleaning fluid concentration and flow rate have reached a stable level. Further increasing the concentration or flow rate may weaken the effect or even waste cleaning fluid and energy. Therefore, the system reduces the cycle time and eliminates unnecessary cleaning time to conserve resources and reduce cleaning costs. For example, if the current cycle time is 30 minutes, the system might reduce it to 20 minutes. In this way, the system can reduce unnecessary cleaning time and resource consumption while maintaining cleaning effectiveness.

[0067] Through the above analysis and adjustment based on the cleaning effect change curve, an updated targeted cleaning plan is generated. This updated plan will comprehensively consider the optimization and adjustment of parameters such as cleaning fluid concentration, flushing flow rate, and cycle time 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 condition of the heat exchanger and changes in deposits, thereby extending the service life of the heat exchanger, reducing cleaning costs, and ensuring efficient operation of the heat exchanger.

[0068] Furthermore, the embodiment of the present application also includes step P60: real-time monitoring of the change trend of the sediment accumulation state. If the amplitude of the accumulation state change 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 coordinated pulse oscillation, and combines the temperature stage of the current chemical cleaning reaction process to assist in breaking the scale layer structure.

[0069] Optionally, in order to further improve the cleaning effect, on the basis of chemical cleaning, the cleaning effect can be enhanced by physical means, and when necessary, an ultrasonic vibration module can be used to assist the chemical cleaning process.

[0070] During the cleaning process, the system continuously monitors the evolution of the deposit state in real time. This monitoring is achieved through sensors installed at strategic locations on the heat exchanger, which detect changes in deposit thickness, density, and other relevant parameters. If the monitoring results show that the change in the deposit state falls below the set accumulation threshold, this indicates that the current chemical cleaning method may not be able to effectively remove the deposits, or that the deposit structure is too stubborn to be removed by chemical cleaning alone.

[0071] At this point, the system activates the ultrasonic vibration module. This module uses ultrasonic energy to generate high-frequency vibrations. Through multi-frequency coordinated pulse oscillations, it resonates and perturbs the heat exchanger's internal structural walls. This resonance physically disturbs the deposits. These high-frequency pulse oscillations effectively break the bonds between the deposits and the pipe wall, especially for stubborn deposits that have accumulated over time or are difficult to dissolve with chemical cleaning. This helps loosen and remove them.

[0072] The ultrasonic vibration module operates on the principle of multi-frequency coordinated pulses. By alternating oscillations of different frequencies, a stronger vibration effect is generated at the resonance points of different frequencies. The varying frequencies of oscillation are more adaptable to different types of deposits, enhancing their removal effectiveness. This physical disturbance effectively breaks up deposits with the aid of the cleaning fluid, avoiding the potential blind spots associated with single chemical cleaning methods.

[0073] Furthermore, the use of ultrasonic vibration can be combined with the temperature stage of the current chemical cleaning reaction. The effectiveness of ultrasonic vibration varies with temperature. During the chemical cleaning process, the temperature typically rises gradually over time, increasing the chemical reaction rate and the disruptive effect of ultrasonic vibration. Based on the temperature stage, the system adjusts the intensity and frequency of the ultrasonic vibration to synchronize with the chemical cleaning process, creating a physical and chemical synergy to enhance cleaning efficiency.

[0074] By combining ultrasonic vibration with intelligent control of the chemical cleaning reaction temperature stage, the scale layer structure of the deposits can be further broken down. In particular, for deposits that form a solid attachment due to accumulation, their removal can be accelerated on the basis of chemical cleaning, significantly improving cleaning efficiency and thoroughness.

[0075] In summary, step P60 achieves efficient deposit removal by monitoring the changing trends of deposit accumulation in real time and activating the ultrasonic vibration module when necessary, combined with the temperature phase of the chemical cleaning reaction process. This process not only improves cleaning flexibility and adaptability, but also further optimizes the cleaning effect, ensuring the long-term stable operation of the heat exchanger.

[0076] In summary, the embodiments of the present application have at least the following technical effects: This application monitors the cleanliness of the main channel and periodically determines whether cleaning is needed, activating the cleaning module and forming an independent circulating cleaning channel. Low-pressure pulsed clean water is used to dredge the microchannels, and outlet turbidity is monitored in real time to determine whether to enter the chemical cleaning phase. A targeted cleaning plan is generated based on sediment detection results, and chemical cleaning is performed in microcirculation mode. Closed-loop optimization and regulation are achieved through real-time sensor information feedback.

[0077] The technical effect of achieving automated dynamic cleaning control, improving cleaning efficiency and reducing energy consumption has been achieved through real-time monitoring, targeted cleaning evaluation and closed-loop feedback adjustment mechanism.

[0078] Example 2, based on the same inventive concept as the high flux heat exchanger cleaning method in the above embodiment, Figure 2 As shown, the present application provides a high-flux heat exchanger cleaning system. The system and method embodiments in the present application are based on the same inventive concept. The system includes: The periodic cleaning determination module 11 is used to monitor the cleanliness of the main passage, perform periodic cleaning determination, and generate a cleaning determination receipt.

[0079] The cleaning activation module 12 is used to activate the cleaning module according to the cleaning determination receipt. The cleaning module is connected to a dedicated cleaning loop pipeline to form an independent circulating cleaning channel and is equipped with a chemical cleaning agent storage tank, a circulating pump and a filter unit.

[0080] The microchannel dredging pretreatment module 13 is used to inject a low-pressure pulsed clean water flow into the high-flux heat exchanger based on the cleaning module to perform microchannel dredging pretreatment, and monitor the first outlet turbidity in real time at the outlet. When the first outlet turbidity is less than the set turbidity threshold, the directional chemical cleaning stage is entered.

[0081] The directional chemical cleaning evaluation module 14 is used to perform sediment detection according to the liquid discharge information of the water outlet during the directional chemical cleaning stage, and to perform directional chemical cleaning evaluation based on the sediment detection result to generate a directional cleaning plan.

[0082] The chemical directional cleaning module 15 is used to perform chemical directional cleaning in microcirculation mode according to the directional cleaning scheme, and obtain inlet and outlet sensor information and sanitary dead corner monitoring information in real time, feedback adjust the directional cleaning scheme, and perform closed-loop optimization adjustment.

[0083] Furthermore, the directional chemical cleaning evaluation module 14 is further configured to perform the following steps: A sediment parameter characteristic vector is constructed based on the outlet liquid information, and the sediment parameter characteristic vector includes particle diameter distribution, conductivity change gradient, and viscosity change trend; the sediment parameter characteristic vector is input into a sediment identification model to perform sediment type identification and accumulation strength analysis to generate an initial detection result; and the initial detection result is calibrated with a credibility weighted value in combination with historical cleaning response data of the heat exchanger to generate a sediment detection result.

[0084] Furthermore, the directional chemical cleaning evaluation module 14 is further configured to perform the following steps: The sediment detection results include sediment type, sediment accumulation amount, and sediment agglomeration density; based on the sediment type, a set of cleaning fluid types is determined; based on the sediment accumulation amount and sediment agglomeration density, a directional evaluation is performed in combination with the cleaning fluid type set to generate a cleaning fluid ratio scheme, wherein the cleaning fluid ratio scheme includes cleaning fluid concentration; heat exchanger tube wall information is obtained, and a secondary directional evaluation is performed in combination with the cleaning fluid ratio scheme to generate the directional cleaning scheme, wherein the directional cleaning scheme includes cleaning fluid concentration, cleaning fluid temperature, flushing flow rate, and circulation time.

[0085] Furthermore, the directional chemical cleaning evaluation module 14 is further configured to perform the following steps: A nonlinear response model of sediment deposition intensity and cleaning fluid concentration is constructed, and a reverse prediction matrix is ​​formed using multiple groups of experimental samples. The reverse prediction matrix includes a concentration-time joint matching table. The nonlinear response model is used to automatically fit and generate a recommended concentration range based on the sediment accumulation amount and sediment agglomeration density. The minimum effective dissolution time corresponding to the recommended concentration range is calculated in combination with the reverse prediction matrix to generate a cleaning fluid ratio scheme.

[0086] Furthermore, the directional chemical cleaning evaluation module 14 is further configured to perform the following steps: The channel cross-sectional area, tube wall material information, thickness information and corrosion resistance grade of the high-flux heat exchanger are collected to generate structural risk constraints. Based on the structural risk constraints as the basic constraints, the cleaning fluid concentration, cleaning fluid temperature, flushing flow rate and circulation time as the adjustment parameters, and the cleaning efficiency and cleaning cost as the optimization goals, the cleaning fluid ratio scheme is optimized by adding items to generate the directional cleaning scheme.

[0087] Furthermore, the chemical directional cleaning module 15 is further configured to perform the following steps: Sensor components are respectively set at the liquid inlet and outlet and the sanitary dead corner of the pipe wall to obtain the liquid inlet and outlet sensing information and sanitary dead corner monitoring information in real time, and the liquid inlet and outlet sensing information and sanitary dead corner monitoring information are time-stamped; based on the liquid inlet and outlet sensing information and sanitary dead corner monitoring information, the cleaning effect is periodically evaluated to generate a multi-stage evaluation result; based on the multi-stage evaluation result, the cleaning effects of adjacent cycles are compared 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 the cleaning work of the next cleaning cycle; and so on, the directional cleaning scheme is periodically updated.

[0088] Furthermore, the chemical directional cleaning module 15 is further configured to perform the following steps: Based on the trend slope, hysteresis interval and mutation point characteristics in the cleaning effect change curve, the cleaning effect decline stage and platform stage are identified; 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 to generate the updated directional cleaning plan.

[0089] Furthermore, the system further includes an ultrasound auxiliary module for performing the following steps: The trend of sediment accumulation state changes is monitored in real time. If the amplitude of the accumulation state change 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 coordinated pulse oscillation, and combines the temperature stage of the current chemical cleaning reaction process to assist in breaking the scale layer structure.

[0090] In the third embodiment, based on the same inventive concept as the high-throughput heat exchanger cleaning method in the aforementioned embodiment, the present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the method in the first embodiment is implemented.

[0091] The above detailed description of the high-flux heat exchanger cleaning method will clearly explain the high-flux heat exchanger cleaning method, system, and medium of this embodiment to those skilled in the art. Therefore, for the sake of brevity, a detailed description will not be given here. The device disclosed in the embodiment corresponds to the method disclosed in the embodiment, so the description is relatively simple. For relevant details, please refer to the method description.

[0092] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

[0093] It should be noted that the order in which the embodiments of the present application are presented is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. Furthermore, the foregoing descriptions of specific embodiments of this specification are provided. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order or sequential sequence shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0094] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should be included in the scope of protection of the present application.

[0095] This specification and drawings are merely illustrative of the present application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Obviously, those skilled in the art may make various modifications and variations to this application without departing from the scope of this application. Thus, this application is intended to include such modifications and variations as fall within the scope of this application and its equivalents.

Claims

1. A high-throughput heat exchanger cleaning method, characterized in that: The method comprises: Monitor the cleanliness of the main passage, make periodic cleanliness assessments, and generate cleanliness assessment receipts; 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 equipped with a chemical cleaning agent storage tank, a circulating pump and a filtering unit; Based on the cleaning module, a low-pressure pulsed clean water flow is injected into the high-flux heat exchanger to perform microchannel dredging pretreatment, and the turbidity of the first outlet liquid is monitored in real time at the outlet. When the turbidity of the first outlet liquid is less than the set turbidity threshold, the directional chemical cleaning stage is entered; During the directional chemical cleaning phase, sediment detection is performed based on the outlet liquid information, and based on the sediment detection results, a directional chemical cleaning evaluation is performed to generate a directional cleaning plan; According to the directional cleaning scheme, chemical directional cleaning is performed in microcirculation mode, and inlet and outlet sensor information and sanitary dead corner monitoring information are obtained in real time, and the directional cleaning scheme is feedback-adjusted to perform closed-loop optimization adjustment.

2. The high-flux heat exchanger cleaning method according to claim 1, characterized in that: Sediment detection is performed based on the outlet liquid information, including: Constructing a sediment parameter characteristic vector based on the outlet liquid information, wherein the sediment parameter characteristic vector includes particle diameter distribution, conductivity change gradient and viscosity change trend; Inputting the sediment parameter characteristic vector into a sediment identification model to perform sediment type identification and accumulation intensity analysis to generate an initial detection result; Combined with historical cleaning response data of the heat exchanger, the initial detection result is calibrated with a credibility weight to generate a deposit detection result.

3. The high-flux heat exchanger cleaning method according to claim 2, characterized in that: Based on the sediment test results, a targeted chemical cleaning evaluation is conducted and a targeted cleaning plan is generated, including: The sediment detection results include sediment type, sediment accumulation, and sediment agglomeration density; Determining a set of cleaning fluid types according to the sediment type; Based on the sediment accumulation amount and sediment agglomeration density, a targeted evaluation is performed in combination with the set of cleaning fluid types to generate a cleaning fluid ratio scheme, wherein the cleaning fluid ratio scheme includes a cleaning fluid concentration; The heat exchanger tube wall information is obtained, and a secondary directional evaluation is performed in combination with the cleaning liquid ratio scheme to generate the directional cleaning scheme, which includes cleaning liquid concentration, cleaning liquid temperature, flushing flow rate and circulation time.

4. The high-flux heat exchanger cleaning method according to claim 3, characterized in that: Based on the sediment accumulation amount and sediment agglomeration density, a targeted evaluation is performed in combination with the set of cleaning fluid types to generate a cleaning fluid ratio scheme, including: A nonlinear response model of sediment deposition intensity and cleaning fluid concentration is constructed, and a reverse prediction matrix is ​​formed through multiple groups of experimental samples, wherein the reverse prediction matrix includes a concentration-time joint matching table; The nonlinear response model is used to automatically fit the recommended concentration range according to the sediment accumulation amount and sediment agglomeration density, and the minimum effective dissolution time corresponding to the recommended concentration range is calculated in combination with the reverse prediction matrix to generate a cleaning solution ratio scheme.

5. The high-flux heat exchanger cleaning method according to claim 4, characterized in that: Obtaining heat exchanger tube wall information, performing secondary directional evaluation in combination with the cleaning liquid ratio scheme, and generating the directional cleaning scheme, including: Collecting the channel cross-sectional area, tube wall material information, thickness information, and corrosion resistance grade of the high-flux heat exchanger to generate structural risk constraints; Based on the structural risk constraint as the basic constraint, the cleaning liquid concentration, cleaning liquid temperature, flushing flow rate and circulation time as the adjustment parameters, and the cleaning efficiency and cleaning cost as the optimization goals, the cleaning liquid ratio scheme is optimized by adding items to generate the directed cleaning scheme.

6. The high-flux heat exchanger cleaning method according to claim 1, characterized in that: According to the directional cleaning scheme, chemical directional cleaning is performed in microcirculation mode, and inlet and outlet sensor information and sanitary dead corner monitoring information are obtained in real time, and the directional cleaning scheme is adjusted by feedback to perform closed-loop optimization adjustment, including: Sensor components are respectively set at the liquid inlet and outlet and the sanitary dead corner of the pipe wall to obtain the liquid inlet and outlet sensing information and sanitary dead corner monitoring information in real time. The liquid inlet and outlet sensing information and sanitary dead corner monitoring information are marked with time; Performing a periodic evaluation of the cleaning effect based on the inlet and outlet sensor information and the sanitary blind spot monitoring information to generate a multi-stage evaluation result; Based on the multi-stage evaluation results, the cleaning effects of adjacent cycles are compared 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.

7. The high-flux heat exchanger cleaning method according to claim 6, characterized in that: 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, hysteresis interval and mutation point characteristics in the cleaning effect change curve, identifying the cleaning effect decline stage and plateau stage; In the effect decreasing stage, the cleaning liquid concentration or flushing flow rate is increased, and in the effect plateau stage, the cycle time is reduced to generate the updated directional cleaning plan.

8. The high-flux heat exchanger cleaning method according to claim 7, characterized in that: include: The trend of sediment accumulation state changes is monitored in real time. If the amplitude of the accumulation state change 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 coordinated pulse oscillation, and combines the temperature stage of the current chemical cleaning reaction process to assist in breaking the scale layer structure.

9. High-throughput heat exchanger cleaning system, characterized in that: The system comprises: A periodic cleaning determination module, which is used to monitor the cleanliness of the main passage, perform periodic cleaning determinations, and generate a cleaning determination receipt; A cleaning activation module, the cleaning activation module is used to activate the cleaning module according to the cleaning determination receipt, the cleaning module is connected to a dedicated cleaning circuit pipeline to form an independent circulation cleaning channel, and is equipped with a chemical cleaning agent storage tank, a circulation pump and a filter unit; a microchannel dredging pretreatment module, which is used to inject a low-pressure pulsed clean water flow into the high-flux heat exchanger based on the cleaning module to perform microchannel dredging pretreatment, and monitor the turbidity of the first outlet liquid in real time at the outlet. When the turbidity of the first outlet liquid is less than a set turbidity threshold, the directional chemical cleaning stage is entered; A directional chemical cleaning evaluation module, which is used to perform sediment detection based on the liquid discharge information of the water outlet during the directional chemical cleaning stage, and to perform directional chemical cleaning evaluation based on the sediment detection results to generate a directional cleaning plan; The chemical directional cleaning module is used to perform chemical directional cleaning in microcirculation mode according to the directional cleaning scheme, and obtain inlet and outlet sensor information and sanitary dead corner monitoring information in real time, feedback adjust the directional cleaning scheme, and perform closed-loop optimization adjustment.

10. A computer-readable storage medium, characterized in that The storage medium stores a computer program, which implements the method steps according to any one of claims 1 to 8 when executed by a processor.

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