Flue flow field optimization and acoustic wave soot blowing combined energy-saving system

Abstract

The present application belongs to the field of energy saving technology of coal-fired boiler flue, and provides a flue flow field optimization and acoustic wave soot blowing combined energy saving system, which comprises a flow field optimization flue assembly, a millimeter wave radar detection module, an acoustic wave soot blowing assembly and an intelligent control unit; the flow field optimization flue assembly is arranged between the horizontal flue of the boiler and the flue of the air preheater, and is used for homogenizing the flue gas flow field and reducing the local soot deposition probability; the millimeter wave radar detection module is installed on the flue wall surface, and is used for real-time acquisition of soot deposition thickness data; the acoustic wave soot blowing assembly is arranged corresponding to the soot deposition area, and is used for soot blowing operation; the intelligent control unit is electrically connected with the detection module and the soot blowing assembly respectively, and is used for outputting soot blowing control instructions; the present application can realize integrated configuration of flow field homogenization, soot deposition detection and intelligent soot blowing, and is suitable for soot deposition treatment and energy saving reconstruction of the tail flue of large coal-fired boiler.

Description

Technical Field

[0001] This invention belongs to the field of energy-saving technology for coal-fired boiler flue gas, and particularly relates to a combined energy-saving system for flue gas flow field optimization and acoustic soot blowing. Background Technology

[0002] In the prior art, several related technologies have been disclosed for the treatment and energy-saving optimization of ash accumulation in coal-fired boiler flues. For example, Chinese Patent (Publication No.: CN121346259A) discloses an intelligent acoustic soot blowing method, system, and terminal for coal-fired boiler flues, which adjusts the operating status of the acoustic transmitter by real-time monitoring of flue environmental parameters to improve soot blowing efficiency. Another example is Chinese Patent (Publication No.: CN121168333A), which discloses a method and device for simulating and optimizing the flow field and ash accumulation in the tail flue of a boiler. This method simulates the flow field and ash accumulation distribution by constructing a multi-field coupling model, dividing different treatment areas, and generating corresponding optimization schemes. The above technologies have improved the treatment of flue ash accumulation from the perspectives of soot blowing control and flow field simulation, but a system configuration scheme integrating flow field structure optimization, online ash accumulation detection, and intelligent soot blowing control has not yet been formed.

[0003] The existing technology has the following three main shortcomings:

[0004] The flow field optimization scheme and the soot blowing treatment scheme are independent of each other and have not formed an integrated system configuration: existing flow field optimization technologies mostly focus on the structural design of reducing flue resistance, and soot blowing systems are mostly configured according to a general model. The two lack linkage and matching in the design stage. The arrangement of soot blowers is usually not specifically set according to the ash distribution obtained from flow field simulation, which easily leads to a mismatch between the soot blowing coverage area and the actual ash accumulation area, making it difficult to achieve a balance between operating energy consumption and soot cleaning effect at the system level.

[0005] There is room for improvement in the environmental adaptability and detection stability of ash accumulation detection devices: some existing contact-type ash accumulation detection devices are in high-temperature and high-dust flue gas environments for a long time, and the detection components are prone to wear and corrosion, requiring relatively high maintenance frequency; some non-contact detection methods are easily affected by fluctuations in dust concentration in flue gas, and the long-term stability of detection data is insufficient, making it difficult to provide continuous and reliable sensing data support for the refined operation of the soot blowing system.

[0006] The control dimensions of acoustic soot blowing systems are relatively simple, and the influence of flue flow field state on sound wave propagation is not fully considered: most existing acoustic soot blowing systems operate with fixed parameters and do not make adaptive adjustments to the attenuation and deflection of sound waves in combination with the flow field distribution in the flue; at the same time, the input parameters of soot blowing control are limited in dimension, making it difficult to dynamically match according to the boiler operating state and ash accumulation state, and there is room for further optimization of soot blowing efficiency.

[0007] Therefore, a combined energy-saving system for flue gas flow field optimization and acoustic soot blowing is needed to solve the above problems. Summary of the Invention

[0008] The purpose of this invention is to provide a combined energy-saving system for flue gas flow field optimization and acoustic soot blowing to solve the problems mentioned in the background art.

[0009] To achieve the above objectives, the present invention provides the following technical solution:

[0010] A combined energy-saving system for flue gas flow field optimization and acoustic soot blowing includes a flow field optimization flue gas component, a millimeter-wave radar detection module, an acoustic soot blowing component, and an intelligent control unit. The flow field optimization flue gas component is disposed between the boiler horizontal flue gas duct and the air preheater flue gas duct. The millimeter-wave radar detection module and the acoustic soot blowing component are both installed on the flue gas duct wall. The millimeter-wave radar detection module and the acoustic soot blowing component are electrically connected to the intelligent control unit.

[0011] By combining and configuring four types of modules, a complete system architecture integrating flow field equalization, ash accumulation detection and soot blowing is constructed. The modules are interconnected and operate in coordination, which can be applied to ash accumulation treatment and energy-saving renovation scenarios of various large coal-fired boiler flues.

[0012] A further technical solution is that the flow field optimization flue assembly includes a pre-denitrification flue optimization section, a post-denitrification guide section, and a cross-sectional gradient transition section; the post-denitrification guide section is provided with several sets of guide plates, and the cross-sectional gradient transition section is connected between the post-denitrification guide section and the air preheater flue.

[0013] The flow field optimization flue assembly adopts a three-section structure design. Through the cooperation of the guide section and the gradual transition section, the flow direction of the flue gas before and after denitrification can be guided and adjusted, alleviating the problem of uneven flow velocity in the flue section. At the same time, the smooth transition structure can reduce the generation of local flow resistance.

[0014] A further technical solution is that the guide plates in each group are arranged in parallel along the width of the flue, and the installation angle of the guide plates is adapted to the flow direction of the flue gas in the flue.

[0015] The guide vanes are arranged in parallel to regulate and guide the stray flue gas in the flue. The design of the installation angle is adapted to the flue gas flow direction, which can play a role in guiding and equalizing the flow while reducing the increase in resistance caused by the guide structure itself.

[0016] A further technical solution is that the millimeter-wave radar detection module includes multiple millimeter-wave radar probes and a signal processing unit; the multiple millimeter-wave radar probes are installed at intervals along the length of the flue on the outer wall of the flue, and each millimeter-wave radar probe is electrically connected to the signal processing unit.

[0017] The millimeter-wave radar detection module adopts a multi-probe distributed layout and unified signal processing architecture, which can simultaneously cover multiple areas prone to ash accumulation in the flue, realize the synchronous detection of ash accumulation status at multiple points, and provide corresponding data support for zoned soot blowing control.

[0018] A further technical solution is that the acoustic soot blowing assembly includes several low-frequency high-power acoustic soot blowers and several stacked tower jet soot blowers; both types of soot blowers are fixed to the flue wall by mounting flanges, and the sound-emitting end extends into the flue.

[0019] The acoustic soot blowing assembly adopts a structure that combines two types of soot blowers, which can be adapted to the ash accumulation characteristics and heating surface structure of different flue areas. Through the complementarity of different soot blowing methods, the cleaning application range and intensity level of the system are expanded.

[0020] In a further technical solution, the low-frequency high-power acoustic sootblower is arranged in the air preheater flue, and the stacked tower jet sootblower is arranged in the heating surface area of ​​the boiler horizontal flue.

[0021] The two types of sootblowers are arranged according to the flue area. The low-frequency high-power acoustic sootblower is suitable for large-area ash accumulation treatment in the air preheater area, while the stacked tower jet sootblower is suitable for targeted ash removal on the heating surface of the boiler horizontal flue, which can improve the ash removal adaptability of each area.

[0022] In a further technical solution, the intelligent control unit includes a data acquisition module, a fuzzy control module, and a parameter storage module; the input end of the data acquisition module is electrically connected to the millimeter-wave radar detection module, the output end of the data acquisition module is electrically connected to the input end of the fuzzy control module, the output end of the fuzzy control module is electrically connected to the acoustic soot blowing assembly, and the parameter storage module is electrically connected to the fuzzy control module.

[0023] The intelligent control unit adopts a modular architecture for data acquisition, logic operation, and parameter storage. Each module has a clear division of labor and a clear signal transmission path, which can ensure timely processing of detection data and rapid response to soot blowing commands, thereby improving the stability of system operation.

[0024] In a further technical solution, the fuzzy control module has a built-in fuzzy rule library, and the parameter storage module is used to store flow field structure parameters and radar calibration parameters.

[0025] The fuzzy control module has a built-in fuzzy rule base, which can realize the mapping reasoning from multiple input parameters to output instructions. The parameter storage module can uniformly store and manage various operating parameters, which facilitates the subsequent calling of parameters and the updating and adjustment of rules.

[0026] In a further technical solution, the flow field optimization flue assembly also includes a flow straightening grid, which is installed at the flue section before the air preheater inlet.

[0027] Adding a rectifier grid structure before the air preheater inlet can perform secondary rectification of the flue gas on the basis of the flow uniformity of the guide plate, further eliminating small-scale velocity deviations, improving the uniformity of the flue gas entering the air preheater, and improving the operating conditions of the air preheater.

[0028] In a further technical solution, the millimeter-wave radar detection module also includes a purge protection unit, which is equipped with a purge nozzle for each millimeter-wave radar probe and is connected to an external compressed air system.

[0029] Equipping the millimeter-wave radar probe with a purge protection unit can clean and protect the probe mirror surface through the purge airflow, reducing the impact of fly ash on the detection signal. At the same time, it can prevent high-temperature flue gas from directly contacting the probe, extending the service life of the detection components.

[0030] Compared with the prior art, the beneficial effects of the present invention are:

[0031] This invention achieves an integrated system configuration of flow field optimization structure and soot blowing components: the flow field optimization flue components are used to homogenize and adjust the flow of flue gas in the flue, improve the flue gas deflection and swirling state, and reduce the probability of local ash accumulation from the perspective of flow characteristics; at the same time, the arrangement of the acoustic soot blowing components can be set according to the ash accumulation distribution obtained by flow field simulation, so that the soot blowing area corresponds to the ash accumulation prone area, and improve the overall ash accumulation control adaptability of the system.

[0032] This invention employs a millimeter-wave radar detection scheme to improve the environmental adaptability and data stability of dust accumulation sensing: the millimeter-wave radar detection module uses a non-contact detection method, and the detection components do not directly contact the high-temperature flue gas, which can reduce the corrosion of the detection components by the high-temperature and high-dust environment; the dust accumulation thickness calculation method based on the characteristics of millimeter-wave echoes is less affected by the fluctuation of flue gas dust concentration, and can provide stable dust accumulation status data over a long operating cycle, providing a reliable sensing basis for the control of the soot blowing system;

[0033] This invention improves the energy efficiency of soot blowing by combining multi-dimensional soot blowing control logic with flow field adaptation design: the intelligent control unit adopts fuzzy control logic with multi-parameter input, which can output corresponding soot blowing control parameters based on multiple types of operating data; at the same time, the system can adapt and adjust the installation parameters and operating parameters of the soot blower based on the flow field distribution characteristics, reduce the adverse effects of the flow field on sound wave propagation, make the utilization of soot blowing energy more reasonable, and help reduce the operating energy consumption of the soot blowing system.

[0034] To more clearly illustrate the structural features and effects of the present invention, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. Attached Figure Description

[0035] Figure 1 This is a schematic diagram of the overall layout of the present invention;

[0036] Figure 2 This is a schematic diagram of the layout of the flow field optimization flue assembly of the present invention;

[0037] Figure 3 This is a schematic diagram of the arrangement of the millimeter-wave radar detection module of the present invention;

[0038] Figure 4 This is a schematic diagram showing the arrangement of the acoustic soot blowing assembly of the present invention;

[0039] Figure 5 This is a schematic diagram of the architecture of the intelligent control unit module of the present invention.

[0040] In the diagram: 1. Flue gas duct assembly for flow field optimization; 11. Boiler horizontal flue; 12. Air preheater flue; 13. Optimized flue section before denitrification; 14. Guide section after denitrification; 141. Guide plate; 15. Gradual transition section; 16. Rectifying grid; 2. Millimeter-wave radar detection module; 21. Millimeter-wave radar probe; 22. Signal processing unit; 23. Purging protection unit; 3. Acoustic soot blowing assembly; 31. Low-frequency high-power acoustic soot blower; 32. Stacked tower jet soot blower; 4. Intelligent control unit; 41. Data acquisition module; 42. Fuzzy control module; 43. Parameter storage module. Detailed Implementation

[0041] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0042] The specific implementation of the present invention will be described in detail below with reference to specific embodiments.

[0043] Example 1

[0044] like Figure 1-5 As shown, this embodiment of the invention provides a combined energy-saving system for flue gas flow field optimization and acoustic soot blowing, including a flow field optimization flue gas component 1, a millimeter-wave radar detection module 2, an acoustic soot blowing component 3, and an intelligent control unit 4.

[0045] The flow field optimization flue assembly 1 is installed between the boiler horizontal flue 11 and the air preheater flue 12, including a pre-denitrification flue optimization section 13, a post-denitrification guide section 14, and a cross-section gradual transition section 15. Several sets of guide plates 141 are installed inside the post-denitrification guide section 14. Each set of guide plates 141 is arranged parallel to the width of the flue, and the installation angle is set according to the flue gas flow direction in the flue, which is used to guide the flue gas to flow evenly to the air preheater flue 12. The cross-section gradual transition section 15 connects the post-denitrification guide section 14 and the air preheater flue 12. It adopts a smooth diameter change structure to alleviate the flue gas swirl caused by the change of flue cross-section.

[0046] The millimeter-wave radar detection module 2 includes multiple millimeter-wave radar probes 21 and a signal processing unit 22. The multiple millimeter-wave radar probes 21 are installed at intervals along the length of the flue at the detection holes on the outer wall of the flue, with the probe transmitting ends facing the dust accumulation area inside the flue. The signal processing unit 22 is installed in a protective box outside the flue and is electrically connected to each millimeter-wave radar probe 21. It is used to process the echo signal and output dust accumulation thickness data.

[0047] The acoustic soot blowing assembly 3 includes several low-frequency high-power acoustic soot blowers 31 and several stacked tower jet soot blowers 32. Both types of soot blowers are fixed to the flue wall by mounting flanges, and the sound-emitting end extends into the flue. The low-frequency high-power acoustic soot blowers 31 are arranged in the ash accumulation area of ​​the air preheater flue 12, and the stacked tower jet soot blowers 32 are arranged in the heating surface area of ​​the boiler horizontal flue 11.

[0048] The intelligent control unit 4 is located in the power plant control room and includes a data acquisition module 41, a fuzzy control module 42, and a parameter storage module 43. The input terminal of the data acquisition module 41 is electrically connected to the signal processing unit 22 and the power plant DCS system. The output terminal of the data acquisition module 41 is electrically connected to the input terminal of the fuzzy control module 42. The output terminal of the fuzzy control module 42 is electrically connected to the acoustic soot blowing assembly 3. The parameter storage module 43 is electrically connected to the fuzzy control module 42. The fuzzy control module 42 has a built-in fuzzy rule library, and the parameter storage module 43 is used to store flow field structure parameters and radar calibration parameters.

[0049] In this embodiment, the uniformity of the system's flow field can be evaluated using the velocity deviation coefficient, calculated as follows:

[0050]

[0051] In the formula, This is the velocity deviation coefficient, which is dimensionless. The smaller the value, the more uniform the velocity distribution across the flue cross section. The flue gas velocity at the i-th measuring point is expressed in m / s and can be obtained through CFD numerical simulation output or on-site velocity measurement device. The average flue gas velocity at the cross-section of the flue is expressed in m / s and is calculated by dividing the flue gas flow rate by the cross-sectional area. The total number of measuring points on the cross section is dimensionless. The measuring points are evenly distributed along the flue cross section, covering the central area and the near-wall area.

[0052] This formula is applicable to the evaluation of the flow field of a flue section under steady-state flow conditions. When a flow guiding structure is installed in the flue, test surfaces can be set before and after the structure to compare the flow uniformity effect. During the flow field optimization design stage, the number, angle, and installation position of the guide plates 141 can be iteratively adjusted using this formula to ensure that the velocity deviation coefficient of the optimized section is within a reasonable range, balancing the flow uniformity effect and the resistance increment.

[0053] During system operation, the flow field optimization flue component 1 guides and homogenizes the flue gas, reducing the local ash accumulation rate; the millimeter-wave radar detection module 2 collects echo signals from each area and calculates the ash accumulation thickness, which is then transmitted to the intelligent control unit 4; the intelligent control unit 4 combines the ash accumulation data with the boiler operation data, and generates soot blowing control commands through the fuzzy control module 42, driving the acoustic soot blowing component 3 in the corresponding area to operate, thus completing the ash accumulation treatment.

[0054] Example 2

[0055] The difference between this embodiment and Embodiment 1 is that the guide plate 141 adopts an arc-shaped guide plate structure, and the bending angle of each group of guide plates 141 gradually increases along the flue gas flow direction.

[0056] In this embodiment, the frontal surface of the arc-shaped guide vane adopts a smooth curved surface design, which reduces local resistance and turbulence loss caused by flue gas impact compared to a straight-plate guide vane. Along the flue gas flow direction, the bending angle of the front guide vane is smaller, mainly used to initially correct the flow direction of the deflected flue gas; the bending angle of the rear guide vane gradually increases, used to further homogenize the cross-sectional velocity distribution. Through the gradient angle design, the flue gas can be gradually turned during the guiding process, avoiding flow separation and eddies caused by excessively large single turning angles.

[0057] This embodiment is suitable for flue gas deflection angle scenarios, achieving improved flow field uniformity with relatively low resistance increment. The arc-shaped guide vane is made of high-temperature and wear-resistant alloy steel, and its surface can be coated with a wear-resistant coating according to operating conditions, extending the service life of the equipment in high-ash flue gas environments. During the design phase, CFD numerical simulation can be used to optimize the bending angle gradient, ensuring that the flow field homogenization effect and resistance performance are well-matched.

[0058] Example 3

[0059] The difference between this embodiment and embodiment 1 is that the millimeter-wave radar detection module 2 also includes a purge protection unit 23, which is connected to an external compressed air system and has a purge nozzle for each millimeter-wave radar probe 21.

[0060] In this embodiment, purge nozzles are arranged around the outer periphery of the transmitting end of the millimeter-wave radar probe 21, with the air outlet direction facing the probe mirror and the flue gas detection hole area. During system operation, the purge protection unit 23 introduces compressed air at a set cycle to purge the probe mirror and detection hole area, reducing the detection signal attenuation caused by fly ash adhering to the probe mirror. Simultaneously, the continuous purge airflow forms an air curtain barrier at the probe tip, preventing high-temperature flue gas from directly contacting the probe and reducing the probe's operating environment temperature.

[0061] In this embodiment, the dust accumulation thickness is calculated using millimeter-wave time-of-flight difference, and the calculation formula is as follows:

[0062]

[0063] In the formula, The thickness of the ash accumulation is expressed in meters (m). The correction factor for the ash accumulation material is dimensionless and is obtained by on-site calibration of the return time coefficient under different fly ash compositions. The propagation speed of millimeter waves in a standard flue gas environment is expressed in m / s. The time of return of the reflected wave from the dust-covered surface, in seconds, is collected by the timing unit of the radar detection module; The reference reflection return time, in seconds, is used when there is no ash accumulation on the flue wall. It is calibrated and stored before the system is put into operation.

[0064] This formula is applicable to detection scenarios involving millimeter-wave perpendicular incidence on dust-covered surfaces. The purging protection unit maintains the cleanliness of the probe mirror, ensuring the stability of the echo signal and improving the accuracy of thickness calculation. The pressure and cycle of the purging gas can be adjusted according to the fly ash concentration in the flue, controlling the consumption of compressed air while ensuring the protective effect.

[0065] Example 4

[0066] The difference between this embodiment and embodiment 1 is that the low-frequency high-power acoustic soot blower 31 is equipped with an adjustable frequency acoustic generator, and the sound frequency can be continuously adjusted within a set range.

[0067] In this embodiment, the intelligent control unit 4 can dynamically adjust the emission frequency of the low-frequency high-power acoustic sootblower 31 based on the ash thickness data and ash state analysis results. When a large ash thickness is detected, a lower frequency acoustic wave is selected to utilize the penetrating characteristics of low-frequency acoustic waves to act on the deep ash layer; when the ash thickness is small, a relatively higher frequency acoustic wave is selected to act on the surface ash layer. At the same time, the corresponding acoustic wave frequency can be matched according to the flow field attenuation characteristics of different regions to compensate for the energy attenuation caused by the flow field.

[0068] In this embodiment, the total sound attenuation coefficient within the flue can be calculated using the following formula:

[0069]

[0070] In the formula, The total sound attenuation coefficient is expressed in dB / m. is the inherent sound attenuation coefficient in stationary flue gas, in dB / m, and is determined by the composition and temperature of the flue gas. The velocity influence coefficient is dimensionless and calibrated through acoustic simulation. The local flue gas velocity, in m / s, is obtained from the flow field simulation results; The sound wave emission frequency is expressed in Hz. The speed of sound in stationary flue gas, in m / s, is calculated from the flue gas temperature. The turbulent kinetic energy influence coefficient is dimensionless. The local flue gas turbulent kinetic energy, in meters. 2 / s 2 The output is generated by CFD simulation.

[0071] This formula is applicable to subsonic flue gas flow scenarios and can be used to assess the degree of sound wave attenuation in different areas, providing data reference for frequency adjustment and installation location optimization. The frequency adjustment range covers commonly used low-frequency intervals, meeting the ash removal needs of most coal-fired fly ash.

[0072] Example 5

[0073] The difference between this embodiment and embodiment 1 is that the data acquisition module 41 is also provided with a flue resistance data access interface, which can collect differential pressure data at the flue inlet and outlet and input it into the fuzzy control module 42.

[0074] In this embodiment, the data acquisition module 41 synchronously acquires differential pressure data at the flue inlet and outlet, using flue resistance as an input parameter for the fuzzy controller. When the flue resistance increases rapidly, the fuzzy control module 42 outputs multiple sets of alternating soot blowing commands to accelerate the overall soot removal speed; when the flue resistance is within the normal range and the ash accumulation thickness is low, it outputs intermittent operation commands to reduce the soot blowing frequency. With the addition of the flue resistance parameter, the control logic can determine the ash accumulation status from the perspective of overall resistance, complementing the local ash accumulation thickness data and improving the overall reliability of the control system.

[0075] This embodiment is applicable to ash accumulation control scenarios in large, long flues, enabling multi-dimensional sootblowing control that combines overall and local conditions. The sootblowing operation modes include three types: full-group operation, half-group alternating operation, and single-group fixed-point operation. These modes can automatically switch based on ash accumulation distribution and resistance status, controlling the sootblowing system's energy consumption while ensuring effective ash removal.

[0076] Example 6

[0077] The difference between this embodiment and embodiment 1 is that the flow field optimization flue assembly 1 also includes a flow straightening grid 16, which is installed at the flue section before the air preheater inlet.

[0078] In this embodiment, the rectifier grille 16 is a grid structure formed by splicing multiple vertical and horizontal guide plates, and the size of the grid unit is designed according to the cross-sectional dimensions of the flue. After the flue gas undergoes initial flow equalization through the guide plates, it undergoes secondary rectification through the rectifier grille 16, which can further eliminate small-scale eddies and velocity deviations, making the velocity distribution of the flue gas entering the air preheater more uniform, improving the heat transfer uniformity inside the air preheater, and reducing local ash accumulation and wear inside the air preheater. The drag of the rectifier grille 16 is relatively small and will not significantly increase the total flue gas drag.

[0079] This embodiment is suitable for units with high requirements for the uniformity of the air preheater inlet flow field, and can further improve the flow field quality based on the optimization of the guide vanes. The rectifying grid is made of corrosion-resistant and high-temperature resistant steel, and the mesh opening ratio can be adjusted according to the flue resistance requirements to achieve a suitable balance between the flow field homogenization effect and the resistance increase.

[0080] Example 7

[0081] The difference between this embodiment and embodiment 1 is that the intelligent control unit 4 further includes a data iteration optimization module 44, which is electrically connected to the data acquisition module 41 and the parameter storage module 43 respectively.

[0082] In this embodiment, the data iteration optimization module 44 has a built-in simplified numerical calculation model that can periodically collect data on flow rate, temperature, resistance, and ash accumulation during on-site operation. It compares the actual operating data with the simulation results from the design phase, correcting boundary parameters in the model such as wall roughness and fly ash particle size distribution, making the calculation results more consistent with actual working conditions. The corrected parameters can be stored in the parameter storage module 43 for optimizing subsequent soot blowing strategies and flow field fine-tuning schemes, achieving dynamic mapping between the digital model and the physical entity.

[0083] This embodiment improves the long-term operational adaptability of the system. As the boiler's operating years increase and equipment status changes, the system can automatically iterate and optimize parameters, reducing the workload of manual readjustment. The data iteration cycle can be set according to operational needs. After each iteration, the relevant parameters in the parameter storage module are automatically updated to ensure that the system control logic is adapted to the current operating conditions.

[0084] Example 8

[0085] The difference between this embodiment and embodiment 1 is that the stacked tower jet sootblower 32 is equipped with a telescopic installation structure, and the sound-emitting end of the sootblower can be adjusted to extend into the flue.

[0086] In this embodiment, the mounting base of the stacked tower jet sootblower 32 is equipped with an electric propulsion mechanism, which is electrically connected to the intelligent control unit 4. When a large thickness of ash is detected on the heated surface, the intelligent control unit 4 controls the electric propulsion mechanism to extend the sootblower's sound-emitting end into the flue, shortening the distance between the sound-emitting end and the ash-accumulated surface and increasing the intensity of the jet sootblowing. After the ash is removed, the sootblower is controlled to retract to its initial position, reducing the obstruction and resistance to the flue gas flow field.

[0087] The retractable design balances cleaning effectiveness with flow resistance, avoiding flow interference and wear caused by the sootblower being extended into the flue for extended periods. This embodiment is suitable for areas prone to thick ash accumulation, such as the heating surface of the boiler's horizontal flue 11. The electric propulsion mechanism is equipped with stroke limit and position feedback functions, which can precisely control the extension length and feed the position signal back to the intelligent control unit to achieve closed-loop control.

[0088] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A combined energy-saving system for flue gas flow field optimization and acoustic soot blowing, characterized in that, The system includes a flow field optimization flue assembly (1), a millimeter-wave radar detection module (2), an acoustic soot blowing assembly (3), and an intelligent control unit (4). The flow field optimization flue assembly (1) is located between the boiler horizontal flue (11) and the air preheater flue (12). The millimeter-wave radar detection module (2) and the acoustic soot blowing assembly (3) are both installed on the flue wall. The millimeter-wave radar detection module (2) and the acoustic soot blowing assembly (3) are electrically connected to the intelligent control unit (4).

2. The combined energy-saving system for flue gas flow field optimization and acoustic soot blowing according to claim 1, characterized in that, The flow field optimization flue assembly (1) includes a pre-denitrification flue optimization section (13), a post-denitrification guide section (14), and a cross-section gradual transition section (15); the post-denitrification guide section (14) is provided with several sets of guide plates (141), and the cross-section gradual transition section (15) is connected between the post-denitrification guide section (14) and the air preheater flue (12).

3. The combined energy-saving system for flue gas flow field optimization and acoustic soot blowing according to claim 2, characterized in that, The guide plates (141) of each group are arranged in parallel along the width of the flue, and the installation angle of the guide plates (141) is adapted to the flue gas flow direction in the flue.

4. The combined energy-saving system for flue gas flow field optimization and acoustic soot blowing according to claim 1, characterized in that, The millimeter-wave radar detection module (2) includes multiple millimeter-wave radar probes (21) and a signal processing unit (22); the multiple millimeter-wave radar probes (21) are installed at intervals along the length of the flue on the outer wall of the flue, and each millimeter-wave radar probe (21) is electrically connected to the signal processing unit (22).

5. The combined energy-saving system for flue gas flow field optimization and acoustic soot blowing according to claim 1, characterized in that, The acoustic soot blowing assembly (3) includes several low-frequency high-power acoustic soot blowers (31) and several stacked tower jet soot blowers (32); both types of soot blowers are fixed to the flue wall by mounting flanges, and the sound-emitting end extends into the flue.

6. The combined energy-saving system for flue gas flow field optimization and acoustic soot blowing according to claim 5, characterized in that, The low-frequency high-power acoustic soot blower (31) is arranged in the air preheater flue (12), and the stacked tower jet soot blower (32) is arranged in the heating surface area of ​​the boiler horizontal flue (11).

7. The combined energy-saving system for flue gas flow field optimization and acoustic soot blowing according to claim 1, characterized in that, The intelligent control unit (4) includes a data acquisition module (41), a fuzzy control module (42), and a parameter storage module (43). The input end of the data acquisition module (41) is electrically connected to the millimeter-wave radar detection module (2), the output end of the data acquisition module (41) is electrically connected to the input end of the fuzzy control module (42), the output end of the fuzzy control module (42) is electrically connected to the acoustic soot blowing assembly (3), and the parameter storage module (43) is electrically connected to the fuzzy control module (42).

8. The combined energy-saving system for flue gas flow field optimization and acoustic soot blowing according to claim 7, characterized in that, The fuzzy control module (42) has a built-in fuzzy rule library, and the parameter storage module (43) is used to store flow field structure parameters and radar calibration parameters.

9. The combined energy-saving system for flue gas flow field optimization and acoustic soot blowing according to claim 2, characterized in that, The flow field optimization flue assembly (1) also includes a flow straightening grid (16), which is installed at the flue section before the air preheater inlet.

10. The combined energy-saving system for flue gas flow field optimization and acoustic soot blowing according to claim 4, characterized in that, The millimeter-wave radar detection module (2) also includes a purge protection unit (23), which is provided with a purge nozzle for each millimeter-wave radar probe (21) and is connected to an external compressed air system.

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