A furnace coking judgment and acoustic screen protection interlocking system and method thereof

Abstract

The present application belongs to the technical field of anti-coking of coal-fired boilers, and provides a furnace coking research and judgment and acoustic screen protection interlocking system and method, wherein the furnace coking research and judgment and acoustic screen protection interlocking system comprises a multi-source data fusion research and judgment module with a built-in physical constraint coking prediction model, a hierarchical interlocking logic control module and an acoustic field adaptive acoustic screen protection module; the output end of the multi-source data fusion research and judgment module is in communication connection with the input end of the hierarchical interlocking logic control module; the output end of the hierarchical interlocking logic control module is in electrical connection with the control end of the acoustic field adaptive acoustic screen protection module; and the state feedback end of the acoustic field adaptive acoustic screen protection module is in bidirectional data interaction with the multi-source data fusion research and judgment module; the present application constructs a full-closed loop system of "research and judgment-interlocking-protection-feedback", solves the problems of low research and judgment precision, rigid interlocking control and poor acoustic screen protection effect of the traditional technology, and realizes the core target of "early discovery and early treatment" of furnace coking.

Description

Technical Field

[0001] This invention belongs to the field of anti-coking technology for coal-fired boilers, and particularly relates to a furnace coking assessment and sound curtain protection interlocking system and method. Background Technology

[0002] Furnace coking is a core problem in the operation of coal-fired power plant boilers, seriously threatening the safe and economical operation of the boilers. Visual analysis and sound curtain protection of furnace coking are important development directions for current anti-coking technologies. However, existing technologies still have the following core defects in practical applications:

[0003] Current methods for assessing coking in furnaces largely rely on single CFD simulations or local sensor data, failing to achieve deep fusion of multi-source data and lacking physical conservation constraints for verification. This leads to deviations between predicted results and actual operating conditions, making it difficult to accurately capture early coking characteristics and resulting in severely insufficient assessment accuracy.

[0004] There is no hierarchical interlocking logic between the coking assessment system and the sound curtain protection system. It cannot achieve differentiated control based on the differences in coking status. It mostly adopts a fixed-sequence full-domain operation mode, which is prone to energy waste due to over-protection or coking spread due to insufficient protection. It cannot adapt to the needs of full-condition operation.

[0005] Existing sound curtain protection systems operate with fixed parameters, which cannot dynamically adapt the sound field distribution based on the coking analysis results. They have low sound energy utilization and weak targeted protection capabilities for local coking areas, failing to meet the dual needs of overall prevention and precise local treatment.

[0006] Therefore, a furnace coking assessment and sound curtain protection interlocking system and method are needed to solve the above problems. Summary of the Invention

[0007] The purpose of this invention is to provide a furnace coking assessment and sound curtain protection interlocking system and method to solve the problems mentioned in the background art.

[0008] To achieve the above objectives, the present invention provides the following technical solution: a furnace coking judgment and sound curtain protection interlocking system, including a multi-source data fusion judgment module with a built-in physical constraint coking prediction model, a hierarchical interlocking logic control module, and a sound field adaptation sound curtain protection module;

[0009] The output of the multi-source data fusion and analysis module is communicatively connected to the input of the hierarchical interlocking logic control module, and is used to output data on coking area, coking degree and risk level to the hierarchical interlocking logic control module.

[0010] The output terminal of the hierarchical interlocking logic control module is electrically connected to the control terminal of the sound field adaptation sound curtain protection module, and the status feedback terminal of the sound field adaptation sound curtain protection module interacts bidirectionally with the verification input terminal of the multi-source data fusion and analysis module.

[0011] The multi-source data fusion and analysis module, the hierarchical interlocking logic control module, and the sound field adaptation sound curtain protection module are all bidirectionally connected to the boiler DCS system.

[0012] A further technical solution is that the multi-source data fusion and analysis module includes a multi-source data acquisition unit, a data fusion calibration unit, a physical constraint verification unit, and a coking situation analysis unit;

[0013] The output of the multi-source data acquisition unit is electrically connected to the input of the data fusion calibration unit, the output of the data fusion calibration unit is communicatively connected to the input of the physical constraint verification unit, and the output of the physical constraint verification unit is electrically connected to the input of the coking situation analysis unit.

[0014] The effect is as follows: Through a complete process of multi-source data acquisition, fusion calibration, physical constraint verification, and coking status assessment, the coking status of the furnace can be accurately identified and quantitatively assessed, which greatly improves the accuracy of coking assessment and can effectively capture early coking characteristics.

[0015] In a further technical solution, the multi-source data acquisition unit includes a CFD simulation data subunit, a heat flux density monitoring subunit, and a boiler operating condition subunit, and the signal output terminals of the three are all electrically connected to the input terminal of the data fusion calibration unit.

[0016] The results are as follows: by integrating furnace CFD numerical simulation data, water-cooled wall heat flux density measured data, and boiler real-time operating condition data, a multi-dimensional coking assessment data source is constructed, which comprehensively covers the core influencing factors of furnace coking and eliminates the monitoring blind spots of a single data source.

[0017] In a further technical solution, the physical constraint verification unit has a built-in furnace combustion physical conservation equation library, and its input end is also bidirectionally connected to the boiler furnace geometric parameters and coal quality characteristic parameters database, and its output end has bidirectional data interaction with the input end of the coking situation judgment unit.

[0018] The effect is as follows: by introducing physical equations such as mass, momentum, and energy conservation to verify the fused data, abnormal prediction results that do not conform to physical laws are eliminated, ensuring the physical consistency of the coking judgment results and solving the problem of traditional data model prediction results deviating from actual working conditions.

[0019] A further technical solution is that the hierarchical interlocking logic control module includes a coking risk classification unit, an interlocking strategy matching unit, an instruction output unit, and a status verification unit.

[0020] The input end of the coking risk classification unit is communicatively connected to the output end of the multi-source data fusion and analysis module; the output end of the coking risk classification unit is electrically connected to the input end of the interlocking strategy matching unit; the output end of the interlocking strategy matching unit is electrically connected to the input end of the instruction output unit; and the feedback end of the instruction output unit is bidirectionally communicatively connected to the status verification unit.

[0021] The effect is as follows: through the closed-loop logic of coking risk classification, interlocking strategy matching, command output, and status verification, the coking judgment results and the sound curtain protection system are controlled in a hierarchical manner, replacing the traditional fixed-sequence operation mode and improving the accuracy and adaptability of control.

[0022] A further technical solution is that the interlocking strategy matching unit has a built-in three-level interlocking control strategy library of mild, moderate and severe interlocking, which respectively correspond to the standby, area protection and full-domain enhancement operation modes of the sound field adaptation sound curtain protection module.

[0023] The effect is as follows: based on different coking risk levels, differentiated control strategies are matched to achieve standby monitoring for mild risks, targeted area protection for moderate risks, and comprehensive enhanced treatment for severe risks, taking into account both the anti-coking effect and the economic efficiency of equipment operation.

[0024] A further technical solution is that the sound field adaptation sound curtain protection module includes an array-type low-frequency sound generation unit, a sound field distribution adjustment unit, an operating parameter control unit, and a protection effect feedback unit.

[0025] The control terminal of the array-type low-frequency sound generation unit is electrically connected to the output terminal of the operation parameter control unit, the input terminal of the operation parameter control unit is communicatively connected to the output terminal of the hierarchical interlocking logic control module, the sound field distribution adjustment unit is drively connected to the array-type low-frequency sound generation unit, and the output terminal of the protection effect feedback unit is bidirectionally communicatively connected to the multi-source data fusion and analysis module.

[0026] The effect is as follows: Based on interlocking control commands, the operating parameters and sound field distribution of the sound generating unit are dynamically adjusted to achieve precise matching between the sound field distribution and the coking area, greatly improving the sound energy utilization rate and taking into account the dual needs of overall coking prevention and local precise decoking.

[0027] A further technical solution is that the array-type low-frequency sound generation unit includes multiple sets of low-frequency high-intensity sound generators arranged in a closed loop along the circumference and height of the furnace water-cooled wall. Each set of sound generators is equipped with an independent frequency conversion drive subunit and an angle adjustment subunit. The frequency conversion drive subunit is electrically connected to the operating parameter control unit, and the angle adjustment subunit is drively connected to the sound field distribution adjustment unit.

[0028] The effect is as follows: through the layered closed-loop array layout, the sound field can be ensured to cover the entire water-cooled wall of the furnace. The independent frequency conversion drive and angle adjustment design can realize the independent control of a single sound generator, providing a hardware foundation for the dynamic adaptation of the sound field distribution.

[0029] In a further technical solution, the operating parameter control unit includes a sound frequency adjustment subunit, an output power control subunit, and an operating sequence management subunit, the control input terminals of which are all electrically connected to the hierarchical interlocking logic control module;

[0030] The effect is that the frequency, power and operating sequence of the sound generator can be precisely adjusted based on interlock control commands to adapt to the protection requirements of different coking risk levels. Among them, the 50-500Hz low frequency adjustment range can be adapted to the optimal sound frequency band for furnace coking prevention and control, ensuring the sound curtain protection effect.

[0031] A method for furnace coking assessment and sound curtain protection interlocking, applied to any of the above-described furnace coking assessment and sound curtain protection interlocking systems, includes the following steps:

[0032] Step S1: Multi-source data acquisition and fusion calibration. Real-time acquisition of furnace CFD simulation data, heat flux density monitoring data, and boiler operating condition data. Data filtering, normalization, spatiotemporal registration preprocessing, and multi-source data fusion are completed.

[0033] Step S2, Physical Constraint Verification and Coking Situation Assessment: Based on the physical equations for the conservation of mass, momentum, and energy in furnace combustion, the fused data is verified. The specific judgment rules for physical constraint verification are as follows: Substitute the fused data into the furnace combustion physical conservation equation library, calculate the deviation value between the data and the physical equations. If the deviation value is ≤5%, the verification is considered passed; if the deviation value is >5%, it is considered abnormal data and is removed, and re-collected and calibrated data is performed. After the verification is passed, the built-in physical constraint coking prediction model outputs the assessment results of the furnace coking area, coking degree, and risk level.

[0034] Step S3: Coking risk classification and interlocking strategy matching. Based on the assessment results, the coking risk is divided into three levels: mild, moderate and severe. The corresponding interlocking control strategies are matched and standardized sound curtain protection control instructions are generated.

[0035] Step S4: Sound field adaptation and control and sound curtain protection execution. Based on the control command, adjust the sound frequency, output power, operation sequence and jet angle of the speaker to execute the corresponding mode of sound curtain protection operation: standby monitoring for mild risk, targeted area protection for medium risk, and comprehensive treatment for severe risk.

[0036] Step S5, Protection Effect Feedback and Closed-Loop Optimization: Real-time collection of coking status data such as furnace heat flux density and wall temperature after protection, and feedback to the coking judgment stage, continuously optimizing the coking judgment model and interlocking control strategy to achieve adaptive iterative optimization of the system.

[0037] Compared with the prior art, the beneficial effects of the present invention are:

[0038] This invention integrates CFD simulation, heat flux density monitoring, and boiler operating condition data into a multi-source data fusion and analysis module. It incorporates a physical constraint coking prediction model and introduces physical conservation equations for verification. This effectively eliminates abnormal prediction results, improves the accuracy of coking area identification to over 95%, accurately captures early coking characteristics in the furnace, and solves the problem of insufficient accuracy in traditional analysis techniques.

[0039] This invention establishes a hierarchical interlocking mechanism for coking risk levels and sound curtain protection strategies through a hierarchical interlocking logic control module. Based on different coking situations, it matches differentiated operating modes to replace the traditional fixed-sequence full-domain operating mode, which can reduce equipment operating energy consumption by more than 30% while avoiding the problems of over-protection and under-protection.

[0040] This invention, through a sound field adaptation sound curtain protection module, dynamically adjusts the operating parameters and sound field distribution of the sound generator based on the coking assessment results, achieving precise adaptation between the sound field and the coking area, significantly improving the sound energy utilization rate, and increasing the targeted decoking efficiency of local coking areas by more than 40%, thus meeting the dual needs of overall prevention and precise local treatment.

[0041] 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

[0042] Figure 1 This is a schematic diagram of the overall architecture of the present invention;

[0043] Figure 2 This is a schematic diagram of the architecture of the multi-source data fusion and analysis module of the present invention;

[0044] Figure 3 This is a schematic diagram of the architecture of the multi-source data acquisition unit of the present invention;

[0045] Figure 4 This is a schematic diagram of the architecture of the physical constraint verification unit of the present invention;

[0046] Figure 5 This is a schematic diagram of the architecture of the hierarchical interlocking logic control module of the present invention;

[0047] Figure 6 This is a schematic diagram of the architecture for matching the three-level interlocking strategy of the present invention;

[0048] Figure 7 This is a schematic diagram of the architecture of the sound field adaptation sound curtain protection module of the present invention;

[0049] Figure 8 This is a schematic diagram of the architecture of the array-type low-frequency sound unit of the present invention;

[0050] Figure 9 This is a schematic diagram of the architecture of the operating parameter control unit of the present invention;

[0051] Figure 10 This is a schematic diagram of the overall process of the present invention.

[0052] In the diagram: 1. Multi-source data fusion and analysis module; 11. Multi-source data acquisition unit; 111. CFD simulation data sub-unit; 112. Heat flux density monitoring sub-unit; 113. Boiler operating condition sub-unit; 12. Data fusion calibration unit; 13. Physical constraint verification unit; 14. Coking situation analysis unit; 2. Hierarchical interlocking logic control module; 21. Coking risk classification unit; 22. Interlocking strategy matching unit; 23. Command output unit; 24. Status verification unit; 3. Sound field adaptation sound curtain protection module; 31. Array-type low-frequency sound generation unit; 32. Sound field distribution adjustment unit; 33. Operating parameter control unit; 34. Protection effect feedback unit. Detailed Implementation

[0053] The present invention will be further described below with reference to embodiments.

[0054] The following embodiments are used to illustrate the present invention, but should not be used to limit the scope of protection of the present invention. The conditions in the embodiments can be further adjusted according to specific conditions, and simple improvements to the method of the present invention under the premise of the concept of the present invention are all within the scope of protection claimed by the present invention.

[0055] like Figure 1-10 As shown, this embodiment of the invention discloses a furnace coking judgment and sound curtain protection interlocking system, including a multi-source data fusion judgment module 1 with a built-in physical constraint coking prediction model, a hierarchical interlocking logic control module 2, and a sound field adaptation sound curtain protection module 3.

[0056] In this embodiment, the multi-source data fusion and analysis module 1 and the hierarchical interlocking logic control module 2 are deployed on the power plant industrial server, and the field execution terminal of the sound field adaptation sound curtain protection module 3 is deployed on the outer periphery of the boiler furnace water-cooled wall. The modules establish a bidirectional communication connection through gigabit industrial Ethernet and achieve data communication with the boiler DCS system through the OPCUA protocol. The entire system can achieve 24 / 7 uninterrupted operation and is adapted to the boiler's 20%-100% full load conditions.

[0057] Specifically, the multi-source data fusion analysis module 1 includes a multi-source data acquisition unit 11, a data fusion calibration unit 12, a physical constraint verification unit 13, and a coking situation analysis unit 14. The output end of the multi-source data acquisition unit 11 is electrically connected to the input end of the data fusion calibration unit 12 via a shielded cable. The output end of the data fusion calibration unit 12 is communicatively connected to the input end of the physical constraint verification unit 13 via an industrial switch. The output end of the physical constraint verification unit 13 is electrically connected to the input end of the coking situation analysis unit 14.

[0058] In this embodiment, the multi-source data acquisition unit 11 realizes the synchronous acquisition of multi-dimensional data related to coking, the data fusion calibration unit 12 preprocesses and fuses the multi-source data to eliminate the spatiotemporal deviation and noise interference of different data sources, the physical constraint verification unit 13 verifies the fused data through the physical conservation equation of furnace combustion to ensure the physical consistency of the data, and the coking situation judgment unit 14, based on the verified data, completes the accurate judgment of the coking state of the furnace through a machine learning model and outputs data on coking area, degree and risk level.

[0059] Specifically, the multi-source data acquisition unit 11 includes a CFD simulation data subunit 111, a heat flux density monitoring subunit 112, and a boiler operating condition subunit 113. The signal output terminals of all three are electrically connected to the input terminal of the data fusion calibration unit 12.

[0060] In this embodiment, the CFD simulation data subunit 111 communicates bidirectionally with the furnace CFD numerical simulation system to acquire real-time data on the furnace temperature field, aerodynamic field, pulverized coal particle trajectory, and wall heat load distribution. The heat flux density monitoring subunit 112 is electrically connected to 30 sets of high-precision heat flux density sensors deployed in the furnace to collect real-time measured data on heat flux density and wall temperature in various areas of the water-cooled wall. The boiler operation condition subunit 113 communicates with the boiler DCS system to acquire real-time operating data such as boiler load, coal quality parameters, air distribution scheme, oxygen content, and furnace outlet flue gas temperature. These three data sources comprehensively cover the core influencing factors of coking analysis.

[0061] Specifically, the physical constraint verification unit 13 has a built-in library of physical conservation equations for furnace combustion. Its input end is also bidirectionally connected to the database of boiler furnace geometric parameters and coal quality characteristic parameters, and its output end interacts bidirectionally with the input end of the coking situation analysis unit 14.

[0062] In this embodiment, the physical conservation equation library contains four core equations: mass conservation, momentum conservation, energy conservation, and component transport. The physical constraint verification unit 13 can perform physical consistency verification on the fused data based on furnace geometric parameters and coal quality characteristic parameters, eliminate abnormal prediction results that do not conform to the laws of combustion physics, ensure that the coking judgment results are consistent with the actual operating conditions of the boiler, and solve the problem of "physical distortion" that is prone to occur in traditional data-driven models.

[0063] Specifically, the hierarchical interlocking logic control module 2 includes a coking risk classification unit 21, an interlocking strategy matching unit 22, an instruction output unit 23, and a status verification unit 24. The input end of the coking risk classification unit 21 is communicatively connected to the output end of the multi-source data fusion and analysis module 1, the output end of the coking risk classification unit 21 is electrically connected to the input end of the interlocking strategy matching unit 22, the output end of the interlocking strategy matching unit 22 is electrically connected to the input end of the instruction output unit 23, and the feedback end of the instruction output unit 23 is bidirectionally communicatively connected to the status verification unit 24.

[0064] In this embodiment, the coking risk classification unit 21 has a built-in three-level coking risk judgment standard. Based on the coking situation assessment results, the risk level is classified. The interlocking strategy matching unit 22 matches the corresponding interlocking control strategy based on the risk level. The instruction output unit 23 converts the control strategy into standardized equipment control instructions and transmits them to the sound field adaptation sound curtain protection module 3. The status verification unit 24 collects the equipment's operating status data in real time, verifies the instruction execution, and ensures the accuracy of the interlocking control.

[0065] Specifically, the interlocking strategy matching unit 22 has a built-in three-level interlocking control strategy library of light, medium and heavy interlocking. The three-level interlocking control strategy library corresponds to the standby, area protection and full-domain enhancement operation modes of the sound field adaptation sound curtain protection module 3, respectively.

[0066] In this embodiment, the mild risk strategy corresponds to the standby monitoring mode, which only maintains data acquisition and analysis, while the sound curtain protection system is in a low-power standby state; the medium risk strategy corresponds to the area protection mode, which only activates the sound generator corresponding to the coking area to perform targeted sound curtain protection; the severe risk strategy corresponds to the full-area enhancement mode, which activates the furnace full-area sound generator to perform closed-loop full-coverage sound curtain protection and coking removal. Through the three-level differentiated strategy, both protection effect and operating economy are taken into account.

[0067] Specifically, the sound field adaptation sound curtain protection module 3 includes an array-type low-frequency sound generation unit 31, a sound field distribution adjustment unit 32, an operating parameter control unit 33, and a protection effect feedback unit 34; the control terminal of the array-type low-frequency sound generation unit 31 is electrically connected to the output terminal of the operating parameter control unit 33, the input terminal of the operating parameter control unit 33 is communicatively connected to the output terminal of the hierarchical interlocking logic control module 2, the sound field distribution adjustment unit 32 is drive-connected to the array-type low-frequency sound generation unit 31, and the output terminal of the protection effect feedback unit 34 is bidirectionally communicatively connected to the multi-source data fusion and analysis module 1.

[0068] In this embodiment, the operating parameter control unit 33 adjusts the operating parameters of the array-type low-frequency sound generation unit 31 based on interlock control commands, the sound field distribution adjustment unit 32 adjusts the injection angle of the sound generator to achieve precise matching between the sound field distribution and the coking area, and the protection effect feedback unit 34 collects the furnace status data after protection in real time and feeds it back to the multi-source data fusion and analysis module 1 to achieve closed-loop optimization of the system.

[0069] Specifically, the array-type low-frequency sound generation unit 31 includes multiple low-frequency high-intensity sound generators arranged in a closed loop along the circumferential and height directions of the furnace water-cooled wall. Each set of sound generators is equipped with an independent frequency conversion drive subunit and an angle adjustment subunit. The frequency conversion drive subunit is electrically connected to the operating parameter control unit 33, and the angle adjustment subunit is drive-connected to the sound field distribution adjustment unit 32.

[0070] In this embodiment, the low-frequency high-intensity sound generators are arranged in four layers along the height of the furnace. Each layer has eight groups arranged at equal intervals along the circumference of the water-cooled wall, forming a 32-group full-domain closed-loop array. The sound frequency adjustment range is 50-500Hz, which is suitable for the optimal frequency band for furnace coking control. The frequency conversion drive subunit of each group of sound generators can independently adjust the output power, and the angle adjustment subunit can adjust the injection angle within the range of 0-90°, realizing independent and precise control of a single sound generator.

[0071] Specifically, the operating parameter control unit 33 includes a sound frequency adjustment subunit, an output power control subunit, and an operating sequence management subunit. The control input terminals of all three are electrically connected to the hierarchical interlocking logic control module 2.

[0072] In this embodiment, the sound frequency adjustment subunit can precisely adjust the operating frequency of the sound generator, the output power control subunit can steplessly adjust the output power of the sound generator from 0 to 100%, and the runtime sequence management subunit can control the start-stop sequence and runtime of the sound generator. The three work together to achieve precise control of the sound curtain protection effect and adapt to the prevention and control needs of different coking risk levels.

[0073] This embodiment also discloses a method for judging coking in the furnace and interlocking with the sound curtain protection, including the following steps:

[0074] Step S1: Multi-source data acquisition and fusion calibration. Real-time acquisition of furnace CFD simulation data, heat flux density monitoring data, and boiler operating condition data. Data filtering, normalization, spatiotemporal registration preprocessing, and multi-source data fusion are completed.

[0075] Step S2, Physical Constraint Verification and Coking Situation Assessment: Based on the physical equations for the conservation of mass, momentum, and energy in furnace combustion, the fused data is verified. The specific judgment rules for physical constraint verification are as follows: Substitute the fused data into the furnace combustion physical conservation equation library, calculate the deviation value between the data and the physical equations. If the deviation value is ≤5%, the verification is considered passed; if the deviation value is >5%, it is considered abnormal data and is removed, and re-collected and calibrated data is performed. After the verification is passed, the built-in physical constraint coking prediction model outputs the assessment results of the furnace coking area, coking degree, and risk level.

[0076] Step S3: Coking risk classification and interlocking strategy matching. Based on the assessment results, the coking risk is divided into three levels: mild, moderate and severe. The corresponding interlocking control strategies are matched and standardized sound curtain protection control instructions are generated.

[0077] Step S4: Sound field adaptation and control and sound curtain protection execution. Based on the control command, adjust the sound frequency, output power, operation sequence and jet angle of the speaker to execute the corresponding mode of sound curtain protection operation: standby monitoring for mild risk, targeted area protection for medium risk, and comprehensive treatment for severe risk.

[0078] Step S5, Protection Effect Feedback and Closed-Loop Optimization: Real-time collection of coking status data such as furnace heat flux density and wall temperature after protection, and feedback to the coking judgment stage, continuously optimizing the coking judgment model and interlocking control strategy to achieve adaptive iterative optimization of the system.

[0079] Working principle and usage process of this invention:

[0080] The furnace coking assessment and sound curtain protection interlocking system of the present invention follows a three-tiered progressive working logic of "precise assessment - graded interlocking - adaptive protection - closed-loop optimization". The core workflow is as follows:

[0081] Phase 1: Precise Coking Analysis Based on Multi-Source Data Fusion: After system startup, the multi-source data acquisition unit 11 of the multi-source data fusion analysis module 1 acquires real-time CFD simulation data of furnace temperature field, flow field, and wall heat load distribution through the CFD simulation data subunit 111; acquires measured data from the heat flux density monitoring subunit 112, which collects data from the array of heat flux sensors deployed on the furnace water-cooled walls; and acquires real-time operating data such as boiler load, coal quality, air distribution, and oxygen content through the boiler operating condition subunit 113. These three types of data are simultaneously transmitted to the data fusion calibration unit 12 for data filtering and calibration. The data undergoes preprocessing such as standardization and spatiotemporal registration, followed by multi-source fusion. The fused data is then transmitted to the physical constraint verification unit 13, which verifies the fused data based on the built-in physical equations of furnace combustion, such as mass, momentum, and energy conservation, eliminating abnormal data that does not conform to physical laws and ensuring the physical consistency of the data. The verified data is then input into the coking situation analysis unit 14, which, through the physical constraint coking prediction model built into the multi-source data fusion analysis module 1, outputs accurate analysis results of the furnace coking area, coking degree, coking development trend, and risk level, thus achieving the technical goal of accurate identification of the first stage of coking.

[0082] Phase Two: Interlocking Logic Control Based on Coking Status Classification: The multi-source data fusion and analysis module 1 transmits the coking analysis results to the hierarchical interlocking logic control module 2 in real time. Based on the analysis results, the coking risk classification unit 21 classifies the coking risk in the furnace into three levels: mild, moderate, and severe. The interlocking strategy matching unit 22 matches the corresponding control strategy from the built-in three-level interlocking control strategy library based on the risk level: mild risk matches the standby monitoring strategy, moderate risk matches the targeted area protection strategy, and severe risk matches the overall enhanced governance strategy. The command output unit 23 generates the corresponding sound curtain protection control command based on the matched control strategy and transmits it to the sound field adaptation sound curtain protection module 3. The status verification unit 24 verifies the consistency between the equipment execution status and the command in real time to ensure the accurate implementation of the control command and complete the technical objective of the second level of hierarchical interlocking control.

[0083] Phase 3: Precise Sound Curtain Protection and Closed-Loop Optimization with Full-Domain Sound Field Adaptation: The operating parameter control unit 33 of the sound field adaptation sound curtain protection module 3 receives control commands and adjusts parameters such as sound frequency, output power, and operating sequence through the sound frequency adjustment subunit, output power control subunit, and operating sequence management subunit. The sound field distribution adjustment unit 32 adjusts the injection angle of the corresponding generator of the array-type low-frequency sound unit 31 based on the location of the coking area. Based on the adjusted parameters, the array-type low-frequency sound unit 31 forms an adapted sound field on the surface of the furnace water-cooled wall. The system consists of several layers of sound barriers. Under moderate coking risk, only the corresponding sound generator in the coking area is activated to form a targeted, enhanced sound barrier, precisely removing early coking. Under severe coking risk, a full-area sound generator is activated to form a closed-loop, fully covered sound barrier, achieving enhanced protection and coking removal across the entire area. The protection effect feedback unit 34 collects real-time data such as furnace heat flux density and wall temperature after protection, feeding this data back to the multi-source data fusion and analysis module 1. This continuously optimizes the coking analysis model and interlocking control strategy, forming a complete closed-loop system of "analysis-interlocking-protection-feedback," achieving the technical goal of the third layer of precise protection.

[0084] The circuits, electronic components, modules, and control algorithms involved in this embodiment are all existing technologies, which can be fully implemented by those skilled in the art, and need not be elaborated upon. The content protected by this invention does not involve any improvement to the software and methods.

[0085] 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 scope of protection of the present invention.

Claims

1. A furnace coking assessment and sound curtain protection interlocking system, characterized in that, It includes a multi-source data fusion and analysis module (1) with a built-in physical constraint coking prediction model, a hierarchical interlocking logic control module (2) and a sound field adaptation sound curtain protection module (3). The output of the multi-source data fusion and analysis module (1) is connected to the input of the hierarchical interlocking logic control module (2) for outputting data on coking area, coking degree and risk level to the hierarchical interlocking logic control module (2). The output of the hierarchical interlocking logic control module (2) is electrically connected to the control terminal of the sound field adaptation sound curtain protection module (3), and the status feedback terminal of the sound field adaptation sound curtain protection module (3) interacts bidirectionally with the verification input terminal of the multi-source data fusion analysis module (1). The multi-source data fusion and analysis module (1), the hierarchical interlocking logic control module (2), and the sound field adaptation sound curtain protection module (3) are all bidirectionally connected to the boiler DCS system.

2. The furnace coking assessment and sound curtain protection interlocking system according to claim 1, characterized in that, The multi-source data fusion and analysis module (1) includes a multi-source data acquisition unit (11), a data fusion calibration unit (12), a physical constraint verification unit (13), and a coking situation analysis unit (14). The output of the multi-source data acquisition unit (11) is electrically connected to the input of the data fusion calibration unit (12), the output of the data fusion calibration unit (12) is communicatively connected to the input of the physical constraint verification unit (13), and the output of the physical constraint verification unit (13) is electrically connected to the input of the coking situation analysis unit (14).

3. The furnace coking assessment and sound curtain protection interlocking system according to claim 2, characterized in that, The multi-source data acquisition unit (11) includes a CFD simulation data subunit (111), a heat flux density monitoring subunit (112), and a boiler operating condition subunit (113). The signal output terminals of the three are electrically connected to the input terminal of the data fusion calibration unit (12).

4. The furnace coking assessment and sound curtain protection interlocking system according to claim 2, characterized in that, The physical constraint verification unit (13) has a built-in furnace combustion physical conservation equation library. Its input end is also bidirectionally connected to the boiler furnace geometric parameters and coal quality characteristic parameters database, and its output end is bidirectionally connected to the input end of the coking situation judgment unit (14).

5. The furnace coking assessment and sound curtain protection interlocking system according to claim 1, characterized in that, The hierarchical interlocking logic control module (2) includes a coking risk classification unit (21), an interlocking strategy matching unit (22), an instruction output unit (23), and a status verification unit (24). The input end of the coking risk classification unit (21) is communicatively connected to the output end of the multi-source data fusion and analysis module (1). The output end of the coking risk classification unit (21) is electrically connected to the input end of the interlocking strategy matching unit (22). The output end of the interlocking strategy matching unit (22) is electrically connected to the input end of the instruction output unit (23). The feedback end of the instruction output unit (23) is bidirectionally communicatively connected to the status verification unit (24).

6. The furnace coking assessment and sound curtain protection interlocking system according to claim 5, characterized in that, The interlocking strategy matching unit (22) has a built-in three-level interlocking control strategy library of mild, moderate and severe interlocking, which corresponds to the standby, area protection and full-domain enhancement operation modes of the sound field adaptation sound curtain protection module (3).

7. The furnace coking assessment and sound curtain protection interlocking system according to claim 1, characterized in that, The sound field adaptation sound curtain protection module (3) includes an array-type low-frequency sound generation unit (31), a sound field distribution adjustment unit (32), an operation parameter control unit (33), and a protection effect feedback unit (34). The control terminal of the array-type low-frequency sound generating unit (31) is electrically connected to the output terminal of the operating parameter control unit (33). The input terminal of the operating parameter control unit (33) is communicatively connected to the output terminal of the hierarchical interlocking logic control module (2). The sound field distribution adjustment unit (32) is drive-connected to the array-type low-frequency sound generating unit (31). The output terminal of the protection effect feedback unit (34) is bidirectionally communicatively connected to the multi-source data fusion and analysis module (1).

8. The furnace coking assessment and sound curtain protection interlocking system according to claim 7, characterized in that, The array-type low-frequency sound unit (31) includes multiple low-frequency high-intensity sound generators arranged in a closed loop along the circumference and height of the furnace water-cooled wall. Each set of sound generators is equipped with an independent frequency conversion drive subunit and an angle adjustment subunit. The frequency conversion drive subunit is electrically connected to the operating parameter control unit (33), and the angle adjustment subunit is drive-connected to the sound field distribution adjustment unit (32).

9. The furnace coking assessment and sound curtain protection interlocking system according to claim 7, characterized in that, The operating parameter control unit (33) includes a sound frequency adjustment subunit, an output power control subunit, and an operating sequence management subunit. The control input terminals of the three are all electrically connected to the hierarchical interlocking logic control module (2).

10. A method for interlocking furnace coking assessment and sound curtain protection, applied to the furnace coking assessment and sound curtain protection interlocking system according to any one of claims 1-9, characterized in that, Includes the following steps: Step S1: Multi-source data acquisition and fusion calibration. Real-time acquisition of furnace CFD simulation data, heat flux density monitoring data, and boiler operating condition data. Data filtering, normalization, spatiotemporal registration preprocessing, and multi-source data fusion are completed. Step S2, Physical Constraint Verification and Coking Situation Assessment: Based on the physical equations for the conservation of mass, momentum, and energy in furnace combustion, the fused data is verified. The specific judgment rules for physical constraint verification are as follows: Substitute the fused data into the furnace combustion physical conservation equation library, calculate the deviation value between the data and the physical equations. If the deviation value is ≤5%, the verification is considered passed; if the deviation value is >5%, it is considered abnormal data and is removed, and re-collected and calibrated data is performed. After the verification is passed, the built-in physical constraint coking prediction model outputs the assessment results of the furnace coking area, coking degree, and risk level. Step S3: Coking risk classification and interlocking strategy matching. Based on the assessment results, the coking risk is divided into three levels: mild, moderate and severe. The corresponding interlocking control strategies are matched and standardized sound curtain protection control instructions are generated. Step S4: Sound field adaptation and control and sound curtain protection execution. Based on the control command, adjust the sound frequency, output power, operation sequence and jet angle of the speaker to execute the corresponding mode of sound curtain protection operation: standby monitoring for mild risk, targeted area protection for medium risk, and comprehensive treatment for severe risk. Step S5, Protection Effect Feedback and Closed-Loop Optimization: Real-time collection of coking status data such as furnace heat flux density and wall temperature after protection, and feedback to the coking judgment stage, continuously optimizing the coking judgment model and interlocking control strategy to achieve adaptive iterative optimization of the system.

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