Multi-objective coordinated control method and system for biomass gas pulsating pressure coupling system

Abstract

The application discloses a multi-target coordinated control method and system of a biomass gas pulsating pressure coupling system, relates to the technical field of pressure control, and comprises the following steps: establishing a pressure rhythm baseline, synchronously mapping the biomass gas pulsating pressure and the negative pressure of a second subsystem to a unified time sequence, identifying a section where the pulsating rhythm approaches the inherent rhythm of a suction actuator and forming a negative pressure resonance triggering zone; on this basis, time dislocation regulation is implemented on the biomass gas pulsating rhythm and a new pressure rhythm baseline is constructed, gradual buffer release is implemented on the negative pressure of the second subsystem, and finally, the two rhythm relationships are continuously coordinated, so that they remain in a stable staggered operation state in the unified time sequence. Through the construction of the pressure rhythm baseline and the negative pressure resonance triggering zone, the application realizes active staggered regulation of the biomass gas pulsating rhythm and the negative pressure rhythm of the second subsystem, weakens resonance amplification, inhibits ash back-spraying and stabilizes the flow field, establishes a rhythm coordination mechanism, makes the gas pressure change smooth, and improves the operation stability and thermal efficiency.

Description

Technical Field

[0001] This invention relates to the field of pressure control technology, specifically to a multi-objective coordinated control method and system for a biomass gas pulsating pressure coupling system. Background Technology

[0002] A biomass gas coupled combustion system refers to a highly efficient and clean combustion device that uses combustible gas produced from the gasification of biomass (such as straw, sawdust, rice husks, etc.) as both primary and secondary fuels, or alternates with solid fossil fuels. Its core principle lies in converting solid biomass into a mixed gas containing carbon monoxide, hydrogen, methane, etc., through a biomass gasification device. This biomass gas is then introduced into the main combustion zone or secondary gas supply zone of the combustion system, allowing it to complement the primary fuel combustion process with energy and achieve temperature stratification, thereby improving fuel utilization and reducing pollutant emissions. Multi-objective performance optimization of the biomass gas coupled combustion system involves establishing a dynamic balance and comprehensive optimization model among multiple performance indicators such as system thermal efficiency, pollutant emission levels, combustion stability, and operational economy. By adjusting multi-dimensional control variables such as fuel ratio, gas supply distribution, combustion temperature field distribution, and flue gas circulation parameters, combined with numerical simulation or intelligent algorithms, the system achieves synergistic optimization of maximizing thermal energy utilization efficiency, minimizing pollutant emissions, and improving system operational economy, thereby enhancing overall operational performance and environmental adaptability.

[0003] The existing technology has the following shortcomings:

[0004] When biomass gas exhibits pulsating fluctuations during the gasification output stage, and its pulsation frequency gradually enters the effective operating range of the exhaust system's inherent frequency, negative pressure resonance within the controlled negative pressure space is easily induced. This negative pressure resonance causes periodic fluctuations in the internal pressure of the combustion space, resulting in local airflow reversal within a short period. Consequently, ash particles are carried back to the combustion zone from the ash discharge channel. After the ash flows back in reverse, it will, on the one hand, continuously and rapidly scour the lining structure and heated components, causing significant wear; on the other hand, it may gradually accumulate in the combustion zone, blocking the combustion channel and disrupting the original airflow organization structure. As the operating time increases, the negative pressure resonance effect will continue to amplify the pressure fluctuation amplitude, making the combustion process unstable, the flue gas field more turbulent, and the ash discharge process disturbed. This may lead to incomplete combustion or localized coking, resulting in decreased system operating efficiency and a significant increase in the risk of equipment damage.

[0005] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0006] The purpose of this invention is to provide a multi-objective coordinated control method and system for a biomass gas pulsating pressure coupling system, so as to solve the problems in the background art mentioned above.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a multi-objective coordinated control method for a biomass gas pulsating pressure coupling system, comprising the following steps:

[0008] Step 1: Based on the dynamic correlation between the negative pressure of the first subsystem and the second subsystem, establish a continuous pressure change time chain, synchronously map the pulsating pressure waveform of the first subsystem and the negative pressure waveform in the second subsystem to a unified time series, extract the corresponding points of the peak rhythm of biomass gas pulsation and the rhythm of controlled negative pressure fluctuation, and form a pressure rhythm baseline to characterize the dynamic traction relationship between the two. Here, the first subsystem is the biomass gas output end, the second subsystem is the furnace, the first subsystem and the second subsystem constitute a pressure coupling system, and the furnace constitutes a controlled negative pressure space.

[0009] Step 2: Based on the constructed pressure rhythm baseline, identify the changing segment of the pulsating rhythm of the first subsystem gradually approaching the inherent rhythm of the suction actuator, extract the starting node of the amplification of the negative pressure fluctuation amplitude of the second subsystem, and associate each starting node according to the time sequence to form a negative pressure resonance trigger zone, so that the resonance formation area has a continuous path that can be identified and intervened in advance in the time dimension. The suction actuator is the boiler induced draft system.

[0010] Step 3: Based on the established negative pressure resonance trigger zone, time misalignment control is performed on the pulsation rhythm of the first subsystem. A controlled micro-time difference interval is introduced into the original pulsation rhythm sequence, so that the peak value of biomass gas pulsation deviates from the corresponding node of the negative pressure resonance trigger zone in the time sequence, thereby obtaining the pressure rhythm baseline after time misalignment control, so as to actively separate the overlapping interval between the pulsation rhythm of the first subsystem and the inherent rhythm of the suction actuator in the time dimension.

[0011] Step 4: Based on the pressure rhythm baseline after time misalignment adjustment, implement gradual buffer release control on the negative pressure change process of the second subsystem, so that the negative pressure fluctuation of the second subsystem changes from concentrated fluctuation to dispersed fluctuation, gradually weaken the periodic reverse airflow effect in the negative pressure resonance trigger zone, reduce the reverse airflow intensity in the second subsystem and avoid the formation of reverse accumulation of ash in the combustion zone.

[0012] Step 5: Based on the pressure rhythm baseline formed after buffer release control, continuously adjust the coordination rhythm between the pulsating rhythm of the first subsystem and the controlled negative pressure fluctuation rhythm, so that the two maintain a stable off-peak operation state in a unified time series, eliminate the conditions for negative pressure resonance from the overall operation level, prevent ash backflow and maintain the continuous stability of the combustion process.

[0013] Preferably, the process of establishing a pressure rhythm baseline includes the following steps:

[0014] Around the pressure transmission channel between the first subsystem and the second subsystem, pressure measuring devices are set up in the air outlet pipe of the first subsystem and the negative pressure area inside the second subsystem to continuously collect pressure changes at the two locations and transmit them to the data acquisition terminal in real time through the data channel, so that the pulsating pressure curve of the first subsystem and the negative pressure curve inside the second system are consistent in the time dimension.

[0015] Time series mapping was performed on the collected pulsed pressure waveform of the first subsystem and the negative pressure waveform of the second subsystem. The two sets of data were arranged with a unified time step and time synchronization correction was performed to ensure that the rising segment of the biomass gas pulsed pressure and the negative pressure response segment of the second subsystem maintained a corresponding relationship on the same time axis.

[0016] The peak point of the pulsating pressure waveform of the first subsystem and the lowest point of the negative pressure waveform of the second subsystem are identified along a unified time series. The peak and valley points with the smallest time difference are used as corresponding nodes and connected in time sequence to form a continuous time chain.

[0017] By connecting the corresponding nodes as base points, a rhythm change curve is formed, which is used to obtain the pressure rhythm baseline to characterize the dynamic traction relationship between the first subsystem and the second subsystem under negative pressure.

[0018] Preferably, the process of forming the negative pressure resonance trigger band includes the following steps:

[0019] Along the established pressure rhythm baseline, the pulsation rhythm change process of the first subsystem and the negative pressure fluctuation change process of the second subsystem are continuously scanned. The biomass gas pulsation cycle and the negative pressure response cycle of the second subsystem are recorded point by point, and it is determined whether the pulsation rhythm of the first subsystem gradually approaches the inherent rhythm of the suction actuator.

[0020] The variation trend of the negative pressure fluctuation amplitude of the second subsystem is extracted along the pressure rhythm baseline. The time points of negative pressure fluctuation amplification are marked point by point, and the starting node of negative pressure fluctuation amplification is determined. This node corresponds to the intersection point of the pulsating rhythm of the first subsystem and the controlled negative pressure fluctuation rhythm.

[0021] By associating the starting nodes of multiple negative pressure fluctuations in time sequence, the time interval between adjacent nodes is kept consistent with the pressure rhythm baseline, forming a negative pressure resonance trigger zone that extends continuously along the time axis, which is used to characterize the accumulation process of negative pressure fluctuation energy.

[0022] By combining the established pressure rhythm baseline, the negative pressure resonance trigger zone is subjected to time extension processing, so that it has a continuous path that can be identified and intervened in advance in the time dimension.

[0023] Preferably, during the time extension process of the negative pressure resonance trigger zone, the time segment from the starting point of the first negative pressure fluctuation amplification is traced back to include the time segment where the pulsation rhythm of the first subsystem approaches the inherent rhythm of the suction actuator. At the same time, the time segment from the starting point of the last negative pressure fluctuation amplification is extended backward to include the time segment where the amplitude of the negative pressure fluctuation of the second subsystem tends to stabilize, so as to form a continuous path that runs through the entire process of negative pressure resonance formation.

[0024] Preferably, the process of obtaining the baseline of the pressure rhythm after time-displacement modulation includes the following steps:

[0025] Within the time range of the negative pressure resonance trigger zone, the pulsation rhythm of the first subsystem and the negative pressure fluctuation node of the second subsystem are matched accordingly. The time points of the peak value of biomass gas pulsation and the starting node of negative pressure fluctuation are extracted point by point along the time series to establish a time correspondence table. The synchronization area of ​​the two is determined with the pressure rhythm baseline as a reference.

[0026] Time-displacement control is implemented in the identified synchronization area. Based on the time axis of the pressure rhythm baseline, the pulsation peak of the first subsystem is controlled to be delayed or advanced, so that the pulsation peak deviates from the corresponding position of the negative pressure fluctuation node of the second subsystem in the time series, forming a new time distribution pattern.

[0027] Based on the completion of the time-shifted regulation operation, the time mapping relationship between the peak value of biomass gas pulsation and the negative pressure fluctuation curve of the second subsystem is redrawn along the time series, and the pressure rhythm baseline after time-shifted regulation is generated, so that the pulsation rhythm of the first subsystem and the negative pressure fluctuation of the second subsystem are in a periodic staggered distribution state in the time dimension.

[0028] Preferably, the process of implementing gradual buffer release control for the negative pressure change process of the second subsystem includes the following steps:

[0029] By combining the pressure rhythm baseline after time misalignment regulation, the negative pressure fluctuation characteristics in the second subsystem are continuously identified. The instantaneous change value of negative pressure in the second subsystem is extracted point by point along the time axis of the pressure rhythm baseline after time misalignment regulation. The time interval and fluctuation amplitude change between adjacent peaks are judged, the concentrated fluctuation section of negative pressure is determined, and the starting node of negative pressure fluctuation amplification is marked.

[0030] A gradual buffer release control is implemented on the identified negative pressure concentration fluctuation section along the time series. The pressure rhythm baseline after time misalignment adjustment is used as the control reference. The resistance and velocity distribution of the gas flow channel of the second subsystem are gradually adjusted to prolong the negative pressure drop phase and form a smooth transition. At the same time, the gas return velocity is controlled to release in stages to weaken the negative pressure energy concentration effect.

[0031] Based on the completion of the gradual buffer release control operation, the dispersed fluctuation pattern of the negative pressure change of the second subsystem is reconstructed along the pressure rhythm baseline after time misalignment adjustment. The time interval between the peaks and troughs of the negative pressure change of the second subsystem is rearranged, so that the negative pressure curve of the second subsystem is transformed from concentrated fluctuation to periodic and gentle dispersed fluctuation, thereby achieving dynamic balance of the air pressure of the second subsystem.

[0032] Preferably, during the gradual buffer release control process, the adjustment of the gas flow channel resistance and velocity distribution in the second subsystem is implemented through segmented control. This maintains the duration of the negative pressure drop phase consistent with the time interval of the pressure rhythm baseline after time misalignment regulation, and distributes the gas return velocity in multiple local release zones during the negative pressure rise phase to ensure that the gas pressure fluctuations inside the second subsystem remain in a continuous, stable, and dispersed state in both time and space dimensions.

[0033] Preferably, the process of continuously adjusting the coordination rhythm between the pulsating rhythm of the first subsystem and the controlled negative pressure fluctuation rhythm includes the following steps:

[0034] Along the pressure rhythm baseline after buffer release control, the time correspondence between the pulsating rhythm of the first subsystem and the controlled negative pressure fluctuation rhythm is recorded point by point. The coordination and deviation status of the pulsating rhythm of the first subsystem and the controlled negative pressure fluctuation rhythm in the unified time series are identified, and the segment and direction of rhythm deviation are determined according to the change of time interval.

[0035] The rhythm intervals of the identified deviation segments are dynamically adjusted along the pressure rhythm baseline. The peak time point of biomass gas pulsation is used as the control reference. The corresponding time point of the negative pressure fluctuation trough of the second subsystem is compared. By slightly delaying or advancing the operation, the two are re-established to form a balanced peak-shifting relationship, and the time interval between adjacent cycles is kept uniform.

[0036] By combining the pressure rhythm baseline after buffer release control, the coordinated rhythm of the first subsystem pulsation rhythm and the controlled negative pressure fluctuation rhythm is continuously synchronized, so that the two maintain a fixed time staggered relationship in the time dimension, and the time offset is adjusted in real time within each pulsation cycle to maintain rhythm stability.

[0037] The overall operating status is continuously adjusted along the pressure rhythm baseline after buffer release control. By continuously comparing the rhythm coordination relationship in multiple operating cycles, the duration of the biomass gas pulsation cycle or the negative pressure release cycle of the second subsystem is finely adjusted so that both can maintain a stable off-peak operating state under long-term operating conditions.

[0038] Preferably, during the process of continuously adjusting the coordination rhythm between the pulsation rhythm of the first subsystem and the controlled negative pressure fluctuation rhythm, the pressure rhythm baseline after buffer release control is used as a unified time reference. The peak time point of biomass gas pulsation and the trough time point of negative pressure fluctuation of the second subsystem are periodically compared. When a shift in the time interval between the two is detected, the time position of the pulsation rhythm of the first subsystem is adjusted so that the peak value of biomass gas pulsation is always within the fixed time interval of the corresponding trough of negative pressure fluctuation of the second subsystem, thereby maintaining the stable staggered operation state of the pulsation rhythm of the first subsystem and the controlled negative pressure fluctuation rhythm in the unified time series.

[0039] A multi-objective coordinated control system for a biomass gas pulsating pressure coupling system includes a pressure rhythm construction module, a resonance trigger identification module, a rhythm misalignment control module, a negative pressure buffer release module, and a rhythm coordination and stabilization module.

[0040] The pressure rhythm construction module establishes a continuous pressure change time chain, synchronously maps the pulsating pressure waveform of the first subsystem and the negative pressure waveform in the second subsystem to a unified time series, extracts the corresponding points of the peak rhythm of biomass gas pulsation and the controlled negative pressure fluctuation rhythm, and forms a pressure rhythm baseline.

[0041] The resonance trigger identification module, based on the constructed pressure rhythm baseline, identifies the changing segment of the pulsating rhythm of the first subsystem gradually approaching the inherent rhythm of the suction actuator, extracts the starting node of the amplification of the negative pressure fluctuation amplitude of the second subsystem, and associates each starting node according to the time sequence to form a negative pressure resonance trigger zone;

[0042] The rhythm misalignment control module, based on the established negative pressure resonance triggering zone, performs time misalignment control on the pulsating rhythm of the first subsystem, introduces a controlled micro-time difference interval into the original pulsating rhythm sequence, and obtains the pressure rhythm baseline after time misalignment control;

[0043] The negative pressure buffer release module, combined with the pressure rhythm baseline after time misalignment adjustment, implements gradual buffer release control on the negative pressure change process of the second subsystem, so that the negative pressure fluctuation of the second subsystem is transformed from concentrated fluctuation to dispersed fluctuation.

[0044] The rhythm coordination and stabilization module, based on the pressure rhythm baseline formed after buffer release control, continuously adjusts the coordination rhythm between the pulsating rhythm of the first subsystem and the controlled negative pressure fluctuation rhythm, so that the two maintain a staggered operation state in a unified time series.

[0045] The technical effects and advantages provided by the present invention in the above technical solution are as follows:

[0046] This invention constructs a pressure rhythm baseline and introduces a negative pressure resonance trigger zone to precisely characterize and actively regulate the dynamic relationship between the pulsating rhythm of the first subsystem and the controlled negative pressure fluctuation rhythm in the time dimension. This ensures that the peak value of biomass gas pulsation and the negative pressure sensitive range of the second subsystem maintain a stable staggered distribution, thereby weakening the resonance amplification trend caused by the overlap of pressure rhythms at the source. Through the synergistic effect of time-staggered regulation and gradual buffer release, the negative pressure fluctuation of the second subsystem changes from concentrated and violent fluctuations to uniform and dispersed changes. The intensity of the reverse airflow movement decreases, and ash is stably transported along the predetermined discharge direction, thus effectively suppressing the ash backflow phenomenon. This provides continuous protection for the lining and heating surface of the second subsystem, slows down the wear process, and improves the stability of the internal flow field of the combustion field, similar to the combustion field inside a boiler.

[0047] This invention establishes a long-term coordination mechanism between the peak rhythm of biomass gas pulsation and the controlled negative pressure fluctuation rhythm at the overall operation level. This ensures that the two rhythms maintain a continuous staggered operation state within a unified time series, thereby eliminating the conditions for repeated negative pressure resonance. Through continuous adjustment and dynamic guidance of the pressure rhythm baseline, the gas pressure changes within the combustion zone remain stable and continuous, the airflow organization structure tends to be stable, and the combustion reaction process becomes more uniform and controllable, effectively avoiding the occurrence of local rich or lean combustion states. This enables the boiler to maintain a continuous and stable combustion state under the coupled operation of biomass gas and coal, improves the uniformity of heat energy release, reduces the risk of operational fluctuations, and provides a reliable guarantee for the long-term safe and efficient operation of the boiler. Attached Figure Description

[0048] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0049] Figure 1 This is a flowchart of the multi-objective coordinated control method for the biomass gas pulsating pressure coupling system of the present invention;

[0050] Figure 2 A flowchart for establishing a pressure rhythm baseline for this invention;

[0051] Figure 3 This is a flowchart illustrating the process of obtaining the pressure rhythm baseline after time misalignment regulation according to the present invention.

[0052] Figure 4 This is a schematic diagram of the multi-objective coordinated control system of the biomass gas pulsating pressure coupling system of the present invention. Detailed Implementation

[0053] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, they are provided so that the description of this disclosure will be more complete and fully convey the concept of the exemplary embodiments to those skilled in the art.

[0054] This invention provides, for example Figures 1 to 3 The multi-objective coordinated control method for the biomass gas pulsating pressure coupling system shown includes the following steps:

[0055] Step 1: Based on the dynamic correlation between the negative pressure of the first subsystem and the second subsystem, establish a continuous pressure change time chain, synchronously map the pulsating pressure waveform of the first subsystem and the negative pressure waveform in the second subsystem to a unified time series, extract the corresponding points of the peak rhythm of biomass gas pulsation and the rhythm of controlled negative pressure fluctuation, and form a pressure rhythm baseline to characterize the dynamic traction relationship between the two. Here, the first subsystem is the biomass gas output end, the second subsystem is the furnace, the first subsystem and the second subsystem constitute a pressure coupling system, and the furnace constitutes a controlled negative pressure space.

[0056] The corresponding points of the peak rhythm of biomass gas pulsation and the controlled negative pressure fluctuation rhythm are extracted to form a pressure rhythm baseline for characterizing the dynamic traction relationship between the two. The specific steps are as follows:

[0057] Pressure measuring devices are installed around the pressure transmission channel between the first and second subsystems, in the outlet pipe of the first subsystem and in the negative pressure region within the second subsystem, to continuously acquire pressure changes at both locations. In the first subsystem, the measuring device is positioned on the straight section between the gasification device outlet and the coupling interface, ensuring stable airflow, uniform temperature, and no eddy current interference, allowing the collected pressure signal to accurately reflect the true pulsating state of the gasified gas. Inside the second subsystem, the measuring device is positioned near the secondary air mixing zone, close to the combustion center, allowing simultaneous sensing of negative pressure changes and local disturbances in the main airflow within the second subsystem. Both measuring devices employ continuous sampling, recording pressure values ​​at fixed time intervals and transmitting them in real-time to the data acquisition terminal via a wired data channel to ensure synchronization and continuity of time information. This arrangement ensures that the pulsating pressure curve of the first subsystem and the negative pressure curve within the second subsystem maintain strict consistency over time, providing continuous and stable pressure change data for subsequent time-chain construction.

[0058] After obtaining the pulsating pressure waveform of the first subsystem and the negative pressure waveform of the second subsystem, the two sets of data are mapped using a unified time series. Specifically, with the pressure acquisition start time as zero, the two pressure change processes are arranged with the same time step, ensuring that each time point contains the correspondence between the biomass gas pulsating pressure value and the negative pressure value of the second subsystem. To eliminate signal delay caused by sampling channels at different locations, time synchronization correction is performed between the two time series to align the rising segment of the biomass gas pulsating pressure waveform with the response segment of the second subsystem negative pressure waveform, maintaining a complete correspondence between their temporal changes on the same time axis. After the time series mapping is completed, a continuous pressure change time chain is formed, where each time point simultaneously reflects the real-time status of the pressure change in the first subsystem and the negative pressure change in the second subsystem. Through this mapping method, the biomass gas pulsating pressure waveform and the second subsystem negative pressure waveform change synchronously in a unified time series, thereby ensuring the continuity and accuracy of subsequent rhythm relationship extraction.

[0059] After obtaining a unified time series, the dynamic correspondence between the peak rhythm of biomass gas pulsation and the rhythm of controlled negative pressure fluctuations is extracted along the pressure change time chain. Specifically, each peak point is first identified in the biomass gas pulsation pressure waveform—the instant when the gas pressure reaches its highest point and begins to decline. Simultaneously, each minimum point is identified in the negative pressure waveform of the second subsystem—the instant when the negative pressure in the second subsystem reaches its minimum and begins to recover. Then, using time as a reference axis, the peak points of the biomass gas pulsation pressure are compared one by one with the minimum points of the negative pressure in the second subsystem to determine the correspondence between them. The peak and trough points with the smallest time difference are used as a set of associated nodes. Multiple sets of such corresponding nodes are formed along the entire pressure change time chain, and all nodes are connected in chronological order. In this way, the correspondence between the intensity change of biomass gas pulsation and the fluctuation of negative pressure in the second subsystem is clearly established in the time dimension. Each set of nodes reflects the pulling effect of biomass gas pulsating pressure changes on the negative pressure response of the second subsystem, thus forming a continuous pressure response trajectory in the time series, so that the pulsating characteristics of the first subsystem and the response characteristics of negative pressure fluctuations in the second subsystem have a traceable corresponding path in time.

[0060] After establishing a complete time-chain correspondence node, all corresponding nodes are connected in chronological order to form a continuous rhythmic variation curve, i.e., the pressure rhythm baseline. This pressure rhythm baseline characterizes the dynamic traction relationship between the negative pressures of the first and second subsystems. Its longitudinal fluctuations reflect the influence of biomass gas pulsation intensity changes on the amplitude of negative pressure fluctuations in the second subsystem, while its lateral extension reflects the phase relationship and rhythmic synchronization between the two in the time dimension. To ensure that the pressure rhythm baseline accurately reflects the dynamic changes of both during operation, the pulsating pressure of the first subsystem and the negative pressure of the second subsystem are continuously monitored during boiler operation, and new data points are continuously added to the time chain in chronological order, causing the pressure rhythm baseline to extend continuously over time. In this way, the pressure rhythm baseline can comprehensively describe the dynamic coupling characteristics between the pulsating pressure fluctuations of the first subsystem and the negative pressure fluctuations of the second subsystem, and can reflect the changes in the traction state between the two in real time during operation.

[0061] Through the implementation of the above consecutive steps, the dynamic correlation between the negative pressure of the first subsystem and the second subsystem is fully established in the time dimension. The peak rhythm of biomass gas pulsation and the rhythm of controlled negative pressure fluctuation form a continuous mapping in a unified time series. The constructed pressure rhythm baseline can clearly show the response law of the pulsation behavior of the first subsystem to the negative pressure change of the second subsystem, providing a complete and accurate time series basis and dynamic rhythm reference for the subsequent identification of the negative pressure resonance trigger zone, time misalignment control, and negative pressure buffer release of the second subsystem.

[0062] Step 2: Based on the constructed pressure rhythm baseline, identify the changing segment of the pulsating rhythm of the first subsystem gradually approaching the inherent rhythm of the suction actuator, extract the starting node of the amplification of the negative pressure fluctuation amplitude of the second subsystem, and associate each starting node according to the time sequence to form a negative pressure resonance trigger zone, so that the resonance formation area has a continuous path that can be identified and intervened in advance in the time dimension. The suction actuator is the boiler induced draft system.

[0063] The starting node for amplifying the negative pressure fluctuation amplitude of the second subsystem is extracted, and the starting nodes are correlated according to the time series to form a negative pressure resonance trigger zone. The specific steps are as follows:

[0064] Along the established pressure rhythm baseline, the pulsation rhythm changes of the first subsystem and the negative pressure fluctuations of the second subsystem are continuously scanned, and the pulsation period of the first subsystem and the negative pressure response period of the second subsystem are recorded point by point. Specifically, using the time axis of the pressure rhythm baseline as a reference, the time interval between adjacent biomass gas pulsation peaks within a continuous time period is selected as the main parameter characterizing the pulsation rhythm of the first subsystem. Simultaneously, the fluctuation period between the minimum and maximum values ​​of the negative pressure fluctuations of the second subsystem is extracted within the same time period as a parameter characterizing the controlled negative pressure fluctuation rhythm. The two sets of rhythm parameters are compared over the entire time chain to determine the changing trend of the biomass gas pulsation period. When it is found that the pulsation period of the first subsystem gradually shortens within a continuous time period, and the time interval between adjacent peaks approaches the negative pressure response period of the second subsystem, it indicates that the pulsation rhythm of the first subsystem is approaching the inherent rhythm of the suction actuator. During this process, the pulsation rhythm changes in each time period are consistent with the corresponding nodes on the pressure rhythm baseline to ensure that the rhythm change trend is continuous in the time dimension. This continuous scanning method can accurately locate the time segment in which the pulsation rhythm of the first subsystem gradually approaches the inherent rhythm of the suction actuator, and determine the specific position of this segment on the pressure rhythm baseline.

[0065] To facilitate understanding, the specific implementation method of this process will be explained in detail below:

[0066] During the operation of a biomass gas coupled with a coal-fired boiler with a rated evaporation capacity of 75 tons / hour, pressure measurement points within the first and second subsystems were selected to collect continuous operational data for 600 seconds. The sampling frequency was 50Hz, resulting in 30,000 pressure data points. Peak identification was performed on the pressure curve of the first subsystem. In the first 100 seconds, the average time interval between biomass gas pulsation peaks was 0.95 seconds; in the 200-300 second range, this time interval shortened to 0.72 seconds; and in the 400-500 second range, it further shortened to 0.60 seconds. Simultaneously, extreme value extraction was performed on the negative pressure waveform of the second subsystem. Within the same time interval, the negative pressure response period of the second subsystem stabilized from an initial 0.58 seconds to 0.56 seconds. Comparing the two sets of rhythm parameters, it can be seen that when the biomass gas pulsation period gradually shortened from 0.95 seconds to 0.60 seconds, its fluctuation period was close to the 0.56-second range of the negative pressure response period of the second subsystem, with a time interval difference of less than 0.04 seconds. At this time, within the time period corresponding to the pressure rhythm baseline, the negative pressure fluctuation amplitude of the second subsystem begins to increase, and the peak-to-valley difference expands from the original 180 Pa to 280 Pa, indicating that the pulsation rhythm of the first subsystem is gradually approaching the inherent rhythm range of the suction actuator, and the trend of negative pressure resonance begins to appear.

[0067] Secondly, it should be noted that:

[0068] The variation segment close to the inherent rhythm of the suction actuator refers to the variation segment where the rhythm difference between the pulsating rhythm of the first subsystem and the inherent rhythm of the suction actuator falls within a preset threshold range.

[0069] After identifying the segment where the pulsation rhythm of the first subsystem gradually approaches the inherent rhythm of the suction actuator, the trend of negative pressure fluctuation amplitude in the second subsystem is further analyzed along the pressure rhythm baseline. The instantaneous fluctuation amplitude of the negative pressure waveform of the second subsystem is extracted point-by-point along the time axis, and the negative pressure change amplitudes at each time point are continuously arranged to form a fluctuation amplitude curve. The fluctuations in negative pressure amplitude are observed on the fluctuation amplitude curve. When the negative pressure amplitude at multiple consecutive time points is higher than the average level of the previous time period and shows an increasing trend, the first time point where fluctuation amplification occurs is marked as the starting node of negative pressure fluctuation amplification. In specific operation, the starting node of negative pressure fluctuation amplification is usually located within a time period where the biomass gas pulsation cycle and the inherent rhythm of the suction actuator are close. Its position on the pressure rhythm baseline corresponds to the intersection point where the peak rhythm of biomass gas pulsation and the controlled negative pressure fluctuation rhythm tend to synchronize. In this way, multiple starting nodes of negative pressure fluctuation amplification can be accurately identified on the time series, each node corresponding to a critical moment when the negative pressure inside the second subsystem begins to increase and the fluctuation amplitude expands.

[0070] To facilitate understanding, the specific implementation method of this process will be explained in detail below:

[0071] During the operation of the same 75-ton / hour biomass gas coupled coal-fired boiler, negative pressure data was continuously collected for 600 seconds at a sampling frequency of 50Hz from pressure measurement points within the second subsystem, resulting in 30,000 sets of negative pressure values. The instantaneous fluctuation amplitude of the negative pressure data was calculated point-by-point along the time axis, and a fluctuation amplitude curve was plotted. In the first 200 seconds, the average range of the negative pressure amplitude was ±160 Pa, with stable fluctuation amplitude. Starting from the 250th second, the local negative pressure amplitude rose to ±210 Pa, and then gradually increased to ±260 Pa over the next 30 seconds, with the amplitude at 15 consecutive time points exceeding the average of the previous time period. At this point, a significant amplitude jump occurred for the first time at 252.4 seconds, with the instantaneous fluctuation reaching ±235 Pa, an increase of approximately 45 Pa compared to the previous time period, marking this as the starting point of the amplified negative pressure fluctuation. Subsequently, on the pressure rhythm baseline, it can be seen that the biomass gas pulsation cycle corresponding to this node is nearly synchronized with the negative pressure response cycle of the second subsystem, indicating that the negative pressure energy of the second subsystem begins to accumulate and enters the resonance triggering stage.

[0072] After extracting multiple starting nodes of the amplified negative pressure fluctuations in the second subsystem, these nodes are correlated in chronological order to form a negative pressure resonance trigger zone. Adjacent starting nodes are connected sequentially along the pressure rhythm baseline, ensuring the time intervals between these nodes align with the time axis of the pressure rhythm baseline, thus forming a continuous path extending along time. This continuous path describes the accumulation process of negative pressure fluctuation energy and the temporal evolution of resonance formation in the time dimension. By connecting adjacent nodes, the formation process of negative pressure resonance is transformed from a scattered node phenomenon into a coherent and describable time trajectory, with the time interval between each node representing the energy transfer rate of negative pressure fluctuations within the second subsystem. As the time interval between nodes gradually shortens, it indicates that the energy transfer speed of the negative pressure fluctuations in the second subsystem is accelerating, and the trend of negative pressure resonance formation is gradually strengthening. Through this chronological correlation method, a complete negative pressure resonance trigger zone can be formed, continuously presenting the formation path of negative pressure resonance in the time dimension.

[0073] After the negative pressure resonance trigger zone is formed, it is extended over time in conjunction with the established pressure rhythm baseline. This extends the trigger zone to create a continuous path that can be identified and intervened in advance. Along the time direction of the trigger zone, tracing back from the starting point of the first amplified negative pressure fluctuation, the segment before this starting point where the first subsystem's pulsating rhythm gradually approaches the inherent rhythm of the suction actuator is included in the initial range of the trigger zone, describing the preparatory stage before the formation of negative pressure resonance. Simultaneously, extending backward from the last starting point, the segment where the amplitude of the second subsystem's negative pressure fluctuation gradually weakens and stabilizes is included in the later range of the trigger zone, describing the attenuation stage of negative pressure resonance. Through this bidirectional extension, the entire trigger zone spans the complete process of the first subsystem's pulsating rhythm approaching, coinciding, and deviating, as well as the amplification and recovery of the second subsystem's negative pressure response, thus creating a continuous, traceable, and predictably identifiable path in the time dimension for the resonance formation zone. By establishing an early warning zone for rhythmic proximity at the front end of the negative pressure resonance trigger zone and a buffer zone for negative pressure recovery at the rear end of the negative pressure resonance trigger zone, the entire negative pressure resonance trigger zone not only reflects the formation process of negative pressure resonance but also has the functions of time prediction and intervention guidance.

[0074] Through the above steps, based on the constructed pressure rhythm baseline, the identification of the changing segments where the pulsating rhythm of the first subsystem gradually approaches the inherent rhythm of the suction actuator was completed, and the starting node of the amplification of the negative pressure fluctuation amplitude of the second subsystem was extracted in the time dimension. All starting nodes were correlated in a time sequence to form a negative pressure resonance trigger zone, ensuring a continuous identification path and early intervention conditions for the negative pressure resonance formation zone in the time dimension. The entire process ensures a continuous correspondence in the time chain between the dynamic response relationship of the pulsating rhythm changes of the first subsystem, the peak pulsating rhythm of biomass gas, and the controlled negative pressure fluctuation rhythm. The dynamic process of negative pressure resonance formation is fully characterized in the time domain, providing an accurate time reference interval for subsequent implementation of time-displacement control of the pulsating rhythm of the first subsystem.

[0075] Step 3: Based on the established negative pressure resonance trigger zone, time misalignment control is performed on the pulsation rhythm of the first subsystem. A controlled micro-time difference interval is introduced into the original pulsation rhythm sequence, so that the peak value of biomass gas pulsation deviates from the corresponding node of the negative pressure resonance trigger zone in the time sequence, thereby obtaining the pressure rhythm baseline after time misalignment control, so as to actively separate the overlapping interval between the pulsation rhythm of the first subsystem and the inherent rhythm of the suction actuator in the time dimension.

[0076] The specific steps for obtaining the baseline of the pressure rhythm after time-displacement modulation are as follows:

[0077] Within the established negative pressure resonance trigger zone time range, the pulsation rhythm of the first subsystem and the negative pressure fluctuation nodes of the second subsystem are matched one-to-one to determine their synchronization relationship in the original time series. In practice, the peak pulsation position of the first subsystem and the starting point of the negative pressure fluctuation of the second subsystem are extracted point-by-point along the time series, arranged chronologically, and a time correspondence table is established. To ensure the accuracy of the correspondence, the pressure rhythm baseline is used as a reference during the identification process. Each biomass gas pulsation peak is compared with an adjacent negative pressure fluctuation node. When the time interval between the two is less than one-third of a single pulsation cycle, a temporal overlap is determined, and this pair of time points is recorded as synchronization nodes. Subsequently, these synchronization nodes are continuously marked along the pressure rhythm baseline, forming a continuous synchronization region on the time axis. This synchronization region corresponds to the time period where the pulsation rhythm of the first subsystem and the inherent rhythm of the suction actuator overlap most densely, and is also the key interval where negative pressure resonance is easily triggered. By using this point-to-point correspondence method, we can accurately determine the specific moment when each biomass gas pulsation peak overlaps with the negative pressure fluctuation node of the second subsystem in the time series, clarify the core position of resonance formation in the negative pressure resonance trigger zone, and provide a clear target time point for subsequent time misalignment control.

[0078] After identifying the synchronization region and its corresponding node, the pulsation rhythm sequence of the first subsystem is time-displaced to actively change the temporal distribution of the original peak values. During implementation, using the time axis of the pressure rhythm baseline as a reference, each pulsation peak of the first subsystem is adjusted sequentially according to its position within the synchronization region. For pulsation peaks that coincide with the negative pressure fluctuation node, controlled time delays or advances are implemented based on their time offset direction within the negative pressure resonance trigger zone. Specifically, when a biomass gas pulsation peak appears before the negative pressure fluctuation node and the time interval between the two is too close, the occurrence time of the biomass gas pulsation peak is slightly delayed, causing its time position to deviate from the node; conversely, when a biomass gas pulsation peak appears after the negative pressure fluctuation node and the overlap area is too wide, its occurrence time is slightly advanced, allowing it to avoid the node's influence range. The time interval for each adjustment is controlled within the millisecond range to ensure that the adjusted pulsation rhythm maintains its original periodic continuity and does not alter the overall gasification supply rhythm structure. After adjustment, the pulsation peaks and negative pressure fluctuation nodes, which originally coincided on the pressure rhythm baseline, were separated, forming a new temporal distribution pattern. Observation along the time series shows that the misaligned pulsation peaks and negative pressure fluctuation peaks and troughs no longer exhibit synchronous occurrences, but rather show an alternating and staggered distribution, significantly weakening the coupling between the two pressure changes. Through this continuous temporal misalignment control process, the pulsation rhythm of the first subsystem actively avoids the influence zone of the inherent rhythm of the suction actuator in the time dimension, fundamentally disrupting the synchronization conditions for resonance formation.

[0079] When the peak value of biomass gas pulsation occurs after the negative pressure fluctuation node and the overlap region is too wide, its occurrence time is slightly advanced to avoid the influence range of the node. The specific implementation method of this process is explained in detail below:

[0080] During the operation of a biomass gas coupled with coal-fired boiler with a rated evaporation capacity of 35 tons per hour, monitoring revealed that when the pulsation cycle of the first subsystem was 4.8 seconds, its pressure peak occurred approximately 0.15 seconds after the negative pressure fluctuation node of the second subsystem, and the overlap between the two lasted for 0.32 seconds. Within this time range, the amplitude of the negative pressure fluctuation of the second subsystem gradually increased from 420 Pa during normal operation to 670 Pa, and the peak-to-valley difference of the negative pressure fluctuation increased by approximately 59.5%, clearly indicating a negative pressure resonance triggering state.

[0081] To eliminate this overlap effect, during the time misalignment control process, the occurrence time of the first subsystem's pulsation peak is advanced by a slight 0.25 seconds, adjusting its time position from the original 5.10 seconds to 4.85 seconds, thereby avoiding the time interval where the negative pressure fluctuation node of the second subsystem is located.

[0082] After completing the time-misalignment control operation, a new pressure rhythm baseline was established to characterize the new temporal correspondence between the pulsation rhythm of the first subsystem and the controlled negative pressure fluctuation rhythm. In practice, the time distribution curve of the biomass gas pulsation peak was redrawn along the time series and time-matched with the negative pressure fluctuation curve of the second subsystem. Each adjusted biomass gas pulsation peak was mapped to a new negative pressure fluctuation time point, generating a new time mapping relationship. Compared to the original pressure rhythm baseline, the pressure rhythm baseline after time-misalignment control exhibits a more uniform fluctuation pattern on the time axis. The time interval between the biomass gas pulsation peak and the negative pressure fluctuation node of the second subsystem remains stable, without continuous overlapping intervals. When observed along this time-misalignment control pressure rhythm baseline, the pressure change curve exhibits a periodic staggered peak distribution characteristic in the time dimension. The high-pressure peak of the first subsystem pulsation rhythm and the low-pressure trough of the second subsystem negative pressure fluctuation no longer overlap. The entire time chain exhibits a complementary rather than overlapping rhythmic operation. During subsequent boiler operation, the pressure rhythm baseline after time-displacement regulation dynamically extends as the negative pressure of the first and second subsystems continues to operate, maintaining a stable peak-shaving relationship between the pulsating rhythm of the first subsystem and the inherent rhythm of the suction actuator, so that the internal pressure field of the second subsystem remains in continuous balance over time, avoiding the amplification of gas pressure fluctuations caused by synchronous resonance.

[0083] Through the execution of the above steps, based on the established negative pressure resonance trigger zone, time-displacement regulation was applied to the pulsation rhythm of the first subsystem. A controlled micro-time difference interval was introduced into the original pulsation rhythm sequence, causing the peak value of biomass gas pulsation to deviate from the corresponding node of the negative pressure resonance trigger zone in the time series, ultimately forming a pressure rhythm baseline after time-displacement regulation. This pressure rhythm baseline, after time-displacement regulation, achieves active separation of the pulsation rhythm of the first subsystem from the inherent rhythm of the suction actuator in the time dimension, eliminating any overlap between the two rhythms and completely breaking the conditions for negative pressure resonance formation. This process plays a continuous role in the dynamic process of boiler combustion operation, maintaining a long-term stable staggered operation state between the pulsation rhythm of the first subsystem and the negative pressure fluctuations of the second subsystem. From a time dimension, this ensures the stability and continuity of the combustion process, preventing problems such as airflow reversal, ash backflow, and drastic pressure fluctuations caused by resonance within the second subsystem.

[0084] Step 4: Based on the pressure rhythm baseline after time misalignment adjustment, implement gradual buffer release control on the negative pressure change process of the second subsystem, so that the negative pressure fluctuation of the second subsystem changes from concentrated fluctuation to dispersed fluctuation, gradually weaken the periodic reverse airflow effect in the negative pressure resonance trigger zone, reduce the reverse airflow intensity in the second subsystem and avoid the formation of reverse accumulation of ash in the combustion zone.

[0085] A gradual buffer release control is implemented for the negative pressure change process of the second subsystem, so that the negative pressure fluctuations of the second subsystem are transformed from concentrated fluctuations to dispersed fluctuations. The specific steps are as follows:

[0086] By combining the pressure rhythm baseline adjusted for time misalignment, the negative pressure fluctuation characteristics within the second subsystem are continuously identified to determine the concentrated negative pressure fluctuation sections requiring buffer release control. In practice, the instantaneous changes in negative pressure in the second subsystem are extracted point-by-point along the time axis of the pressure rhythm baseline adjusted for time misalignment, and the pressure rise and fall trends at each time point are recorded. By comparing the negative pressure fluctuation amplitudes over consecutive time periods, when the time interval between two adjacent negative pressure peaks is significantly shorter than the average fluctuation period, and the fluctuation amplitude is higher than the average negative pressure amplitude under steady-state operation of the second subsystem, this time period can be identified as a concentrated negative pressure fluctuation section. This concentrated negative pressure fluctuation section is typically distributed within a short time range following the peak time of biomass gas pulsation; it is the area where negative pressure energy is released in a concentrated manner within a short period, forming a pressure reversal. During the identification process, the time correspondence between negative pressure fluctuations and reverse airflow movement must also be observed in conjunction with the airflow distribution state of the second subsystem. When a short-term reverse flow is observed in the local airflow of the second subsystem during a period of rapid negative pressure change, this is identified as a key section for buffer release. By identifying and tracking each point one by one, the time distribution, duration and range of influence of the concentrated negative pressure fluctuations in the second subsystem can be clearly defined, and the starting point of each fluctuation amplification can be marked on the time axis, providing an accurate time reference for subsequent buffer release operations.

[0087] After identifying the concentrated negative pressure fluctuation zone, a gradual buffer release control is implemented along the time series to control the negative pressure change process of the second subsystem. This stretches the negative pressure fluctuation energy over time and disperses it spatially, thereby weakening the periodic energy superposition within the negative pressure resonance trigger zone. Specifically, using the pressure rhythm baseline after time-displacement adjustment as the control reference, during the period of rapid negative pressure decline, the channel resistance and velocity distribution of gas flow within the second subsystem are gradually adjusted to transform the originally rapidly declining negative pressure curve into a continuous and smooth downward trend. By extending the duration of the negative pressure decline phase, the flow energy of the gas within the second subsystem is released in segments, preventing the concentrated accumulation of negative pressure energy and the generation of strong pressure waves in a short period. Subsequently, during the reverse rise phase of the negative pressure fluctuation, the return flow velocity of the gas within the second subsystem is controlled segment by segment, transforming the reverse airflow from a concentrated impact state to a layered release state. In specific operations, the distribution of air channels and flue gas flow paths within the second subsystem is adjusted to create multiple local release zones in space, thereby avoiding the synchronous superposition of large-scale reverse flows. When the reverse airflow is dispersed into multiple small intervals, the intensity of pressure fluctuations within the second subsystem is significantly weakened. The pressure back impact, originally concentrated at a single moment, is evenly distributed over a longer period, allowing the kinetic energy of the airflow to be released gradually rather than bursting instantaneously. Through this continuous buffering and energy dispersion control process, the negative pressure fluctuation curve within the second subsystem gradually becomes smoother from its original sharp fluctuations, the amplitude of pressure changes decreases, the time span is extended, and the duration of the reverse airflow impact is significantly shortened.

[0088] After completing the gradual buffer release control operation, the dispersed fluctuation pattern of the negative pressure change in the second subsystem is reconstructed along the pressure rhythm baseline adjusted by time misalignment, so that the pressure change process of the second subsystem forms a stable dynamic equilibrium in both time and space dimensions. Specifically, the negative pressure fluctuation data after buffer release is first reconstructed into a time series, and the time intervals between each negative pressure peak and trough are rearranged according to the change rhythm after buffer release, ensuring a uniform distribution of negative pressure fluctuations on the time axis. In this way, the high-frequency fluctuations that were originally concentrated in a short period are redistributed over a longer time range, forming stable rhythmic fluctuations. Subsequently, during the transition between the rising and falling phases of the negative pressure fluctuations, the trend of airflow direction changes is continuously monitored, ensuring a smooth transition of gas flow within the second subsystem between the rising and falling negative pressure phases, preventing sudden reversals of local airflow direction. At this point, the airflow movement within the second subsystem exhibits a continuous and smooth flow state, the pressure distribution gradually becomes balanced, the difference in gas velocity between different regions decreases, and the overall pressure field tends to be balanced. Observation along the pressure rhythm baseline after time-displacement regulation reveals that the peaks and troughs of the negative pressure curve of the second subsystem are more evenly distributed, the fluctuation amplitude is reduced, and the waveform transforms from concentrated fluctuations to periodically smooth, dispersed fluctuations. The internal pressure field of the second subsystem exhibits a stable and controllable state. Through this reconstruction and extension process, the negative pressure change process of the second subsystem forms an adaptive buffering characteristic, preventing pressure fluctuations from being superimposed and amplified in the time dimension and from concentrating and reversing in the spatial dimension. At this time, the reverse airflow intensity is significantly weakened, and ash particles maintain a unidirectional movement trend within the combustion zone, no longer experiencing backflow caused by reverse attraction from negative pressure. The airflow organization structure within the combustion zone remains stable, ensuring the continuity of the combustion process.

[0089] Through the specific implementation of the above steps, combined with the pressure rhythm baseline after time-displacement regulation, a gradual buffer release control was implemented for the negative pressure change process of the second subsystem. This gradually transformed the concentrated fluctuations of the negative pressure in the second subsystem into dispersed fluctuations, effectively weakening the periodic reverse airflow effect within the negative pressure resonance trigger zone. The reverse airflow intensity within the second subsystem was significantly reduced, and the conditions for ash and slag to form reverse accumulation in the combustion zone were eliminated. The entire process maintained a dynamic balance of the second subsystem's gas pressure in the time dimension and formed a multi-level balanced flow field structure in the spatial distribution. This enabled the boiler to operate stably for a long time under coupled combustion conditions, improving combustion efficiency, reducing wear on the heating surface, ensuring unobstructed combustion channels, and making the heat energy release process more uniform.

[0090] Step 5: Based on the pressure rhythm baseline formed after buffer release control, continuously adjust the coordination rhythm between the pulsating rhythm of the first subsystem and the controlled negative pressure fluctuation rhythm, so that the two maintain a stable off-peak operation state in a unified time series, eliminate the conditions for negative pressure resonance from the overall operation level, prevent ash backflow and maintain the continuous stability of the combustion process.

[0091] The coordination rhythm between the pulsating rhythm of the first subsystem and the controlled negative pressure fluctuation rhythm is continuously adjusted to ensure that both maintain a stable, staggered operating state within a unified time series. The specific steps are as follows:

[0092] Along the pressure rhythm baseline after buffer release control, the time correspondence between the pulsating rhythm of the first subsystem and the controlled negative pressure fluctuation rhythm is recorded point by point to identify their coordination and deviation states in a unified time series. In practice, using the time axis as a reference, the peak points of the pulsating pressure of the first subsystem and the trough points of the negative pressure fluctuations of the second subsystem are mapped onto the same time series, and the time intervals between adjacent peaks and troughs are recorded. Multiple consecutive operating cycles are compared along the time axis of the pressure rhythm baseline, and the time difference curve between the two rhythms is plotted to identify changes in rhythm synchronicity. When the time interval between the two remains constant across multiple consecutive cycles, it indicates that the pulsating rhythm of the first subsystem and the controlled negative pressure fluctuation rhythm are in a coordinated range; conversely, when the interval shows a trend of gradually shortening or lengthening, it indicates that the rhythm has deviated in that segment. During the identification process, combined with the analysis of the internal pressure change trend of the second subsystem, it can be found that when the time interval decreases, the negative pressure fluctuation response speed in the second subsystem accelerates, the pressure fluctuation amplitude increases accordingly, and the airflow distribution in the combustion zone tends to be concentrated. When the time interval increases, the biomass gas output and the negative pressure response of the second subsystem are out of sync, the airflow linkage is delayed, and the combustion stability decreases. By continuously tracking the time offset change trend between the two, the time range, direction, and amount of rhythm deviation can be accurately determined, providing a precise time basis for subsequent dynamic adjustment of the rhythm.

[0093] After identifying the rhythm deviation segment, the rhythm interval of the deviation segment is dynamically adjusted along the pressure rhythm baseline to restore the staggered and coordinated state between the pulsating rhythm of the first subsystem and the controlled negative pressure fluctuation rhythm. In specific implementation, the peak time point of the biomass gas pulsation is used as a control reference, and the corresponding time point of the negative pressure fluctuation trough of the second subsystem is compared. When the time interval is too short, it indicates that the peak value of the gasified gas pulsation enters the sensitive stage of the negative pressure fluctuation cycle prematurely, easily triggering resonance amplification. In this case, a slight delay is made to the biomass gas pulsation cycle, shifting the occurrence time of the pulsation peak backward on the time axis. Conversely, when the time interval is too long, it indicates that the output of the gasified gas pulsation lags behind the response cycle of the negative pressure in the second subsystem, causing airflow regulation lag. In this case, the peak time of the biomass gas pulsation is slightly advanced, restoring a balanced staggered relationship with the negative pressure fluctuation waveform. This slight adjustment is performed point-by-point along the time series, making the interval between the pulsation peak and the negative pressure trough within adjacent cycles tend to be uniform. This segmented dynamic adjustment method ensures that the time difference between the pulsating rhythm of the first subsystem and the controlled negative pressure fluctuation rhythm remains within a stable range, thus preventing resonance overlap caused by the accumulation of time drift. After adjustment, the staggered distribution of the biomass gas pulsating curve and the negative pressure curve of the second subsystem on the pressure rhythm baseline is more uniform, and the consistency of the time interval between peaks and troughs is enhanced, indicating that the peak-shifting relationship between the two rhythms has been restored to balance.

[0094] To facilitate understanding, the specific implementation method of this process will be explained in detail below:

[0095] During a certain operating period, time-series recordings revealed that the peak pulsations of the first subsystem occurred at 120.35s, 120.95s, and 121.55s, while the corresponding troughs of negative pressure fluctuations in the second subsystem occurred at 120.48s, 121.08s, and 121.68s, with time intervals of 0.13s, 0.13s, and 0.13s respectively. These intervals were significantly shorter than the set peak-shifting reference interval of 0.25s for this operating condition. Based on this comparison, it was determined that the biomass gas pulsation peak entered a sensitive segment of the second subsystem's negative pressure fluctuation cycle. Therefore, a slight delay was made to the biomass gas pulsation cycle for the next cycle, adjusting the peak pulsation originally planned for 122.15s to 122.27s. After the adjustment, the corresponding trough of negative pressure fluctuations in the second subsystem occurred at 122.02s, increasing the time interval to 0.25s. Continuing to observe along the time series, in the next set of data, the peak value of biomass gas pulsation appeared at 122.87s, while the trough value of the negative pressure in the second subsystem appeared at 122.45s, with a time interval of 0.42s, exceeding the peak shift reference time interval. Therefore, a slight advance operation was performed on this pulsation peak value, adjusting it to 122.70s, thus reducing the corresponding time interval to 0.25s. By comparing point by point in the above manner and implementing slight delays or advances within continuous cycles, the time interval between the peak value of biomass gas pulsation and the trough value of the negative pressure fluctuation in the second subsystem in adjacent operating cycles was stably maintained at approximately 0.25s, thereby completing the micro-amplitude time control process in this step.

[0096] After completing the dynamic interval adjustment, and combining it with the pressure rhythm baseline after buffer release control, the coordination rhythm between the first subsystem's pulsation rhythm and the controlled negative pressure fluctuation rhythm is continuously synchronized, ensuring a stable coordination between the two in the time dimension. In practice, the relative displacement of the first subsystem's pulsation peak and the second subsystem's negative pressure fluctuation trough is continuously observed along the time series. When the relative time difference remains constant, it indicates that the two are in a synchronized and coordinated state. To maintain this state, within each pulsation cycle of the first subsystem, its pulsation peak is compared in real time with the time offset of the previous cycle, ensuring that its output rhythm and the response cycle of the second subsystem's negative pressure always maintain a fixed time staggered relationship. When a slight change in the time interval of the first subsystem's pulsation rhythm is detected, the corresponding time adjustment is immediately made according to the direction of the offset, causing the deviated pulsation peak to return to the original time difference range. Through this continuous synchronization method, the high-pressure peak of the biomass gas output rhythm and the low-pressure trough of the second subsystem's negative pressure are always staggered in time, avoiding the superposition of the two rhythms in the time series. At this point, when observed along the pressure rhythm baseline, it can be seen that the two curves exhibit a periodic alternating distribution of fluctuations. The peak of the pulsation always lags behind the trough of the negative pressure fluctuation by a fixed time difference, and the entire waveform presents a regular rhythmic balance structure on the time axis.

[0097] After establishing a stable rhythmic coordination, the overall operating status of the first subsystem's pulsating rhythm and the controlled negative pressure fluctuation rhythm is continuously adjusted along the pressure rhythm baseline after buffer release control, ensuring the boiler maintains a stable off-peak operation state under long-term operating conditions. In practice, the changes in the pulsating rhythm of the first subsystem and the response changes in the negative pressure fluctuations of the second subsystem are continuously recorded along a time series over multiple operating cycles. The rhythmic coordination relationship of each cycle is compared and analyzed with the previous cycle. When the time interval shows a gradual deviation, the duration of the biomass gas pulsating cycle or the second subsystem's negative pressure release cycle is immediately adjusted slightly to restore the time off-peak relationship. Simultaneously, the rhythmic coordination state during long-term operation is tracked based on the changing trend of the pressure rhythm baseline. When the negative pressure of the second subsystem is affected by changes in external load or fluctuations in the biomass gas calorific value, the time difference is promptly corrected by fine-tuning the rhythm interval, ensuring the entire system maintains rhythmic stability under dynamic conditions. After continuous adjustments, the pressure rhythm baseline exhibits a regular distribution over time. The peak value of biomass gas pulsation consistently falls within a constant time period following the negative pressure trough of the second subsystem, maintaining a stable rhythmic peak-shaving relationship. At this point, the airflow within the second subsystem achieves temporal equilibrium, with the negative pressure fluctuation cycle and the gasification gas output cycle maintaining peak-shaving coordination. The conditions for negative pressure resonance are completely eliminated over time. Observations along the combustion zone show a stable and continuous airflow direction, with ash particles moving smoothly along their original emission direction without reverse intake or backflow. The combustion channel of the second subsystem remains unobstructed, the pressure field is uniform and stable, and the continuity of the combustion process is fully guaranteed.

[0098] Through the above steps, based on the pressure rhythm baseline established after buffer release control, the coordination rhythm between the pulsating rhythm of the first subsystem and the controlled negative pressure fluctuation rhythm is continuously adjusted, ensuring that both maintain a stable, staggered operating state within a unified time series. This eliminates the conditions for negative pressure resonance at the overall operational level, blocks the superposition channel of gas pressure energy, prevents ash and slag backflow, and enables the boiler combustion process to achieve a continuous, stable, coordinated, and orderly operating state in the time dimension, maintaining the efficient thermal balance and long-term reliable operation of the combustion system.

[0099] Beneficial effect 1:

[0100] This invention constructs a pressure rhythm baseline and introduces a negative pressure resonance trigger zone to precisely characterize and actively regulate the dynamic relationship between the pulsating rhythm of the first subsystem and the controlled negative pressure fluctuation rhythm in the time dimension. This ensures that the peak value of biomass gas pulsation and the negative pressure sensitive range of the second subsystem maintain a stable staggered distribution, thereby weakening the resonance amplification trend caused by the overlap of pressure rhythms at the source. Through the synergistic effect of time-staggered regulation and gradual buffer release, the negative pressure fluctuation of the second subsystem changes from concentrated and violent fluctuations to uniform and dispersed changes. The intensity of the reverse airflow movement decreases, and ash is stably transported along the predetermined discharge direction, thus effectively suppressing the ash backflow phenomenon. This provides continuous protection for the lining and heating surface of the second subsystem, slows down the wear process, and improves the stability of the internal flow field of the combustion field, similar to the combustion field inside a boiler.

[0101] Benefit 2:

[0102] This invention establishes a long-term coordination mechanism between the peak rhythm of biomass gas pulsation and the controlled negative pressure fluctuation rhythm at the overall operation level. This ensures that the two rhythms maintain a continuous staggered operation state within a unified time series, thereby eliminating the conditions for repeated negative pressure resonance. Through continuous adjustment and dynamic guidance of the pressure rhythm baseline, the gas pressure changes within the combustion zone remain stable and continuous, the airflow organization structure tends to be stable, and the combustion reaction process becomes more uniform and controllable, effectively avoiding the occurrence of local rich or lean combustion states. This enables the boiler to maintain a continuous and stable combustion state under the coupled operation of biomass gas and coal, improves the uniformity of heat energy release, reduces the risk of operational fluctuations, and provides a reliable guarantee for the long-term safe and efficient operation of the boiler.

[0103] This invention provides, for example Figure 4 The multi-objective coordinated control system of the biomass gas pulsating pressure coupling system shown includes a pressure rhythm construction module, a resonance trigger identification module, a rhythm misalignment control module, a negative pressure buffer release module, and a rhythm coordinated stabilization module.

[0104] The pressure rhythm construction module establishes a continuous pressure change time chain, synchronously maps the pulsating pressure waveform of the first subsystem and the negative pressure waveform in the second subsystem to a unified time series, extracts the corresponding points of the peak rhythm of biomass gas pulsation and the controlled negative pressure fluctuation rhythm, and forms a pressure rhythm baseline.

[0105] The resonance trigger identification module, based on the constructed pressure rhythm baseline, identifies the changing segment of the pulsating rhythm of the first subsystem gradually approaching the inherent rhythm of the suction actuator, extracts the starting node of the amplification of the negative pressure fluctuation amplitude of the second subsystem, and associates each starting node according to the time sequence to form a negative pressure resonance trigger zone;

[0106] The rhythm misalignment control module, based on the established negative pressure resonance triggering zone, performs time misalignment control on the pulsating rhythm of the first subsystem, introduces a controlled micro-time difference interval into the original pulsating rhythm sequence, and obtains the pressure rhythm baseline after time misalignment control;

[0107] The negative pressure buffer release module, combined with the pressure rhythm baseline after time misalignment adjustment, implements gradual buffer release control on the negative pressure change process of the second subsystem, so that the negative pressure fluctuation of the second subsystem is transformed from concentrated fluctuation to dispersed fluctuation.

[0108] The rhythm coordination and stabilization module, based on the pressure rhythm baseline formed after buffer release control, continuously adjusts the coordination rhythm between the pulsating rhythm of the first subsystem and the controlled negative pressure fluctuation rhythm, so that the two maintain a staggered operation state in a unified time series.

[0109] The multi-objective coordinated control system for the biomass gas pulsating pressure coupling system provided in this embodiment of the invention is used to implement the aforementioned multi-objective coordinated control method for the biomass gas pulsating pressure coupling system. During operation, the multi-objective coordinated control system executes various control steps in the multi-objective coordinated control method to achieve the multi-objective coordinated control function in the biomass gas pulsating pressure coupling process. Its execution flow corresponds one-to-one with the steps in the method embodiment, and the specific process will not be elaborated further.

[0110] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A multi-objective coordinated control method for a biomass gas pulsating pressure coupling system, characterized in that, Includes the following steps: Step 1: Establish a continuous pressure change time chain, synchronously map the pulsating pressure waveform of the first subsystem and the negative pressure waveform in the second subsystem to a unified time series, extract the corresponding points of the peak rhythm of biomass gas pulsation and the controlled negative pressure fluctuation rhythm, and form a pressure rhythm baseline. Step 2: Based on the constructed pressure rhythm baseline, identify the changing segment of the pulsating rhythm of the first subsystem gradually approaching the inherent rhythm of the suction actuator, extract the starting node of the amplification of the negative pressure fluctuation amplitude of the second subsystem, and associate each starting node according to the time sequence to form a negative pressure resonance trigger zone; Step 3: Based on the established negative pressure resonance triggering zone, perform time misalignment control on the pulsating rhythm of the first subsystem, introduce a controlled micro-time difference interval into the original pulsating rhythm sequence, and obtain the pressure rhythm baseline after time misalignment control. Step four: Based on the pressure rhythm baseline adjusted by time misalignment, implement buffer release control for the negative pressure change process of the second subsystem; Step 5: Based on the pressure rhythm baseline formed after buffer release control, continuously adjust the coordination rhythm between the pulsating rhythm of the first subsystem and the controlled negative pressure fluctuation rhythm.

2. The multi-objective coordinated control method for a biomass gas pulsating pressure coupling system according to claim 1, characterized in that, The process of establishing a baseline for stress rhythms includes the following steps: Pressure measuring devices are installed around the pressure transmission channel between the first subsystem and the second subsystem, respectively, in the air outlet pipe of the first subsystem and the negative pressure area inside the second subsystem, to continuously collect pressure changes in the air outlet pipe of the first subsystem and the negative pressure area inside the second subsystem. Time-series mapping was performed on the collected pulsed pressure waveform of the first subsystem and the negative pressure waveform of the second subsystem to ensure that the rising segment of the biomass gas pulsed pressure and the negative pressure response segment of the second subsystem corresponded on the same time axis. The peak point of the pulsating pressure waveform of the first subsystem and the lowest point of the negative pressure waveform of the second subsystem are identified along a unified time series. The peak and valley points with the smallest time difference are used as corresponding nodes and connected in time sequence to form a continuous time chain. By connecting the corresponding nodes as base points, a rhythm change curve is formed, and the pressure rhythm baseline is obtained.

3. The multi-objective coordinated control method for a biomass gas pulsating pressure coupling system according to claim 1, characterized in that, The process of forming a negative pressure resonance trigger band includes the following steps: Along the established pressure rhythm baseline, the pulsation rhythm change process of the first subsystem and the negative pressure fluctuation change process of the second subsystem are continuously scanned. The biomass gas pulsation cycle and the negative pressure response cycle of the second subsystem are recorded point by point, and it is determined whether the pulsation rhythm of the first subsystem gradually approaches the inherent rhythm of the suction actuator. The variation trend of the negative pressure fluctuation amplitude of the second subsystem is extracted along the pressure rhythm baseline. The time points of negative pressure fluctuation amplification are marked point by point, and the starting node of negative pressure fluctuation amplification is determined. The starting node corresponds to the intersection point of the pulsating rhythm of the first subsystem and the controlled negative pressure fluctuation rhythm. By associating the starting nodes of multiple negative pressure fluctuations in a time sequence, the time interval between adjacent nodes is kept consistent with the pressure rhythm baseline, forming a negative pressure resonance trigger zone that extends continuously along the time axis.

4. The multi-objective coordinated control method for a biomass gas pulsating pressure coupling system according to claim 3, characterized in that, The negative pressure resonance trigger zone is extended over time, including: tracing back from the starting point of the first negative pressure fluctuation amplification, the time segment of the first subsystem's pulsation rhythm that is close to the inherent rhythm of the suction actuator is included in the front section of the negative pressure resonance trigger zone; at the same time, extending backward from the starting point of the last negative pressure fluctuation amplification, the time segment of the second subsystem's negative pressure fluctuation amplitude that is stable is included in the rear section of the negative pressure resonance trigger zone.

5. The multi-objective coordinated control method for a biomass gas pulsating pressure coupling system according to claim 3, characterized in that, The process of obtaining the baseline of the pressure rhythm after time-displacement modulation includes the following steps: Within the time range of the negative pressure resonance trigger zone, the pulse rhythm of the first subsystem and the negative pressure fluctuation node of the second subsystem are matched accordingly. The time points of the peak value of biomass gas pulse and the starting node of negative pressure fluctuation are extracted point by point along the time series to establish a time correspondence table. The synchronization area is determined with the pressure rhythm baseline as a reference. Time-displacement control is implemented in the identified synchronization area. Based on the time axis of the pressure rhythm baseline, the pulsation peak of the first subsystem is controlled to be delayed or advanced, so that the pulsation peak deviates from the corresponding position of the negative pressure fluctuation node of the second subsystem in the time series, forming a new time distribution pattern. Based on the completion of the time-displacement control operation, the time mapping relationship between the peak value of biomass gas pulsation and the negative pressure fluctuation curve of the second subsystem is redrawn along the time series to generate the pressure rhythm baseline after time-displacement control.

6. The multi-objective coordinated control method for a biomass gas pulsating pressure coupling system according to claim 5, characterized in that, The process of implementing buffer release control for the negative pressure change process of the second subsystem includes the following steps: By combining the pressure rhythm baseline after time misalignment regulation, the negative pressure fluctuation characteristics in the second subsystem are continuously identified. The instantaneous change value of negative pressure in the second subsystem is extracted point by point along the time axis of the pressure rhythm baseline after time misalignment regulation. The time interval and fluctuation amplitude change between adjacent peaks are judged, the concentrated fluctuation section of negative pressure is determined, and the starting node of negative pressure fluctuation amplification is marked. Buffer release control is implemented on the identified negative pressure concentrated fluctuation section along the time series. The pressure rhythm baseline after time misalignment adjustment is used as the control reference to adjust the resistance and velocity distribution of the gas flow channel in the second subsystem, while controlling the gas return velocity to be released in segments. Based on the completion of the buffer release control operation, the dispersed fluctuation pattern of the negative pressure change of the second subsystem is reconstructed along the pressure rhythm baseline after time misalignment adjustment, and the time interval between the peaks and troughs of the negative pressure change of the second subsystem is rearranged.

7. The multi-objective coordinated control method for a biomass gas pulsating pressure coupling system according to claim 6, characterized in that, During the buffer release control process, the adjustment of the gas flow channel resistance and velocity distribution in the second subsystem is implemented through segmented control. The duration of the negative pressure drop phase is kept consistent with the time interval of the pressure rhythm baseline after time misalignment regulation, and the gas return velocity is distributed in multiple local release zones during the negative pressure rise phase.

8. The multi-objective coordinated control method for a biomass gas pulsating pressure coupling system according to claim 6, characterized in that, The process of continuously adjusting the coordination rhythm between the pulsating rhythm of the first subsystem and the controlled negative pressure fluctuation rhythm includes the following steps: Along the pressure rhythm baseline after buffer release control, the time correspondence between the pulsating rhythm of the first subsystem and the controlled negative pressure fluctuation rhythm is recorded point by point. The coordination and deviation status of the pulsating rhythm of the first subsystem and the controlled negative pressure fluctuation rhythm in the unified time series are identified, and the segment and direction of rhythm deviation are determined according to the change of time interval. The rhythm intervals of the identified deviation segments are dynamically adjusted along the pressure rhythm baseline. The peak time point of biomass gas pulsation is used as the control reference to compare the corresponding time point of the negative pressure fluctuation trough of the second subsystem. The peak-shifting relationship is re-established by delaying or advancing the operation. By combining the pressure rhythm baseline after buffer release control, the coordinated rhythm of the first subsystem's pulsating rhythm and the controlled negative pressure fluctuation rhythm is continuously synchronized. The overall operating status is continuously adjusted along the pressure rhythm baseline after buffer release control. By continuously comparing the rhythm coordination relationship in multiple operating cycles, the duration of the biomass gas pulsation cycle or the negative pressure release cycle of the second subsystem is adjusted.

9. The multi-objective coordinated control method for a biomass gas pulsating pressure coupling system according to claim 8, characterized in that, In the process of continuously adjusting the coordination rhythm between the pulsation rhythm of the first subsystem and the controlled negative pressure fluctuation rhythm, the pressure rhythm baseline after buffer release control is used as a unified time reference. The peak time point of biomass gas pulsation and the trough time point of negative pressure fluctuation of the second subsystem are periodically compared. When a shift in the time interval is detected, the time position of the pulsation rhythm of the first subsystem is adjusted so that the peak value of biomass gas pulsation is always within the fixed time interval of the corresponding trough of negative pressure fluctuation of the second subsystem.

10. A multi-objective coordinated control system for a biomass gas pulsating pressure coupling system, used to implement the multi-objective coordinated control method for the biomass gas pulsating pressure coupling system according to any one of claims 1-9, characterized in that, It includes a pressure rhythm construction module, a resonance trigger identification module, a rhythm misalignment control module, a negative pressure buffer release module, and a rhythm coordination and stabilization module; The pressure rhythm construction module establishes a continuous pressure change time chain, synchronously maps the pulsating pressure waveform of the first subsystem and the negative pressure waveform in the second subsystem to a unified time series, extracts the corresponding points of the peak rhythm of biomass gas pulsation and the controlled negative pressure fluctuation rhythm, and forms a pressure rhythm baseline. The resonance trigger identification module, based on the constructed pressure rhythm baseline, identifies the changing segment of the pulsating rhythm of the first subsystem gradually approaching the inherent rhythm of the suction actuator, extracts the starting node of the amplification of the negative pressure fluctuation amplitude of the second subsystem, and associates each starting node according to the time sequence to form a negative pressure resonance trigger zone; The rhythm misalignment control module, based on the established negative pressure resonance triggering zone, performs time misalignment control on the pulsating rhythm of the first subsystem, introduces a controlled micro-time difference interval into the original pulsating rhythm sequence, and obtains the pressure rhythm baseline after time misalignment control; The negative pressure buffer release module, combined with the pressure rhythm baseline adjusted by time misalignment, implements buffer release control for the negative pressure change process of the second subsystem; The rhythm coordination and stabilization module continuously adjusts the coordination rhythm between the pulsating rhythm of the first subsystem and the controlled negative pressure fluctuation rhythm, based on the pressure rhythm baseline formed after buffer release control.

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