A smart control system for fire smoke exhaust fans based on adaptive regulation

Abstract

The present application relates to the technical field of fire exhaust fan control, and discloses a fire exhaust fan intelligent control system based on adaptive regulation, which comprises an operation data processing module, a suction-through feature recognition module, a fan boundary constraint module and a smoke exhaust working condition adjustment module. The operation data processing module processes basic data to generate filtered temperature and normalized load. The suction-through feature recognition module extracts temperature drop and load rise features to output state recognition results. The fan boundary constraint module calculates safety margin to generate frequency reduction limitation results. The smoke exhaust working condition adjustment module controls the frequency reduction of the smoke exhaust fan and the follow-up of the air supply fan when the frequency reduction is not limited, and controls the opening of the electric bypass adjustment valve when the frequency reduction is limited. The present application excludes interference and accurately identifies the suction-through state through steady-state screening and normalized calculation, sets the operation boundary based on safety margin, continues to suppress the suction-through phenomenon by using external airflow when the frequency reduction is limited, and realizes the safe and smooth recovery of the working condition on the premise of preventing equipment stall.

Description

Technical Field

[0001] This invention relates to the field of fire exhaust fan control technology, specifically to an intelligent control system for fire exhaust fans based on adaptive regulation. Background Technology

[0002] Fire exhaust systems are an important component of building fire protection facilities. Fire exhaust fans are used to expel smoke from buildings during fires to maintain clear visibility of evacuation routes. In actual operation, due to factors such as the location of the fire source, the arrangement of exhaust vents, and indoor thermal pressure, a physical phenomenon known as air entrapment can easily occur below the exhaust vents, where cold air is drawn in. This entrapment alters the airflow field, causing the temperature of the gas mixture drawn in by the exhaust fan to decrease and its density to increase. This reduces the effective amount of actual smoke discharged from the building and increases the operating load on the exhaust duct network.

[0003] Existing smoke exhaust fan control systems have limitations in addressing the suction breakdown phenomenon. Traditional control methods rely on changes in a single parameter for judgment, making them susceptible to interference from transient processes such as fan frequency conversion speed regulation and valve operation. This makes it difficult to accurately identify the suction breakdown state, and frequent switching of identification results is likely to occur under critical operating conditions. Furthermore, existing adjustment methods, when reducing the fan frequency to weaken the cold air entrainment effect, lack quantitative constraints on the safety margin of the smoke exhaust fan operation and do not set clear operating boundaries. Continuously reducing the operating frequency can easily lead to the smoke exhaust fan entering the stall operating zone. In addition, the lack of coordinated action between the individual fan frequency reduction and the mechanical make-up fan can easily disrupt the airflow balance within the smoke control zone. When the frequency reduction adjustment of the smoke exhaust fan is limited, existing control systems lack the means to further suppress the suction breakdown phenomenon, and during the recovery phase after the abnormal state is resolved, the rapid reset actions of valves and fans can easily cause airflow impact within the pipeline network.

[0004] The aforementioned conditions make it difficult for existing fire smoke exhaust control systems to maintain smoke extraction efficiency under complex fire conditions, and also affect the stability of equipment operation. Due to the lack of anti-interference feature recognition mechanisms and multi-device linkage adjustment methods constrained by safety boundaries, the system cannot properly handle the suction breakdown state while ensuring that the smoke exhaust fan does not stall. Therefore, how to accurately identify the suction breakdown state after eliminating data interference, and how to adaptively adjust smoke exhaust and make-up air within the equipment's safe operating boundaries, as well as smoothly restore operating conditions, are problems that need to be solved in this field. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides an intelligent control system for fire exhaust fans based on adaptive regulation. This system solves the problems of existing control systems that rely on a single parameter and are susceptible to dynamic adjustment interference, leading to misjudgment of the suction state; lack of safety boundary constraints for fan frequency reduction, which can easily cause equipment stall; lack of countermeasures when regulation is limited; and sudden changes in action during operation recovery that cause airflow impact.

[0006] To address the above problems, the present invention provides the following technical solution: This invention provides an intelligent control system for fire-fighting smoke exhaust fans based on adaptive regulation, employing the following technical solution: An intelligent control system for fire-fighting smoke exhaust fans based on adaptive regulation includes: The data processing module is used to acquire basic data of the smoke exhaust condition and perform validity verification, filtering, steady-state screening and normalized load calculation on the basic data of the smoke exhaust condition, generate the filtered temperature, the operating frequency of the smoke exhaust fan and the normalized load, and call the fan calibration data. The absorption-breakdown feature recognition module is used to extract temperature drop features and load rise features based on the filtered temperature and the normalized load, and output the absorption-breakdown state recognition result. The fan boundary constraint module is used to calculate the safety margin by combining the operating frequency of the exhaust fan, the normalized load and the fan calibration data, and generate the frequency reduction limit result based on the safety margin; The smoke exhaust condition adjustment module is used to control the fire exhaust fan to reduce its operating frequency and control the mechanical make-up air fan to adjust accordingly when the suction failure state identification result indicates that a suction failure state exists and the frequency reduction limit result is not generated; and to control the electric bypass regulating valve to open when the frequency reduction limit result is generated and the suction failure state identification result indicates that a suction failure state exists.

[0007] By adopting the above technical solution, the operation data processing module acquires and processes multi-dimensional operation data, the absorption and penetration feature recognition module integrates temperature and load change features to determine the operating status, and the fan boundary constraint module calculates the equipment safety margin in real time. Then, the smoke exhaust condition adjustment module performs adaptive actions such as frequency reduction or bypass opening of the fire smoke exhaust fan according to the status and margin. Therefore, on the one hand, it can accurately capture the physical phenomenon of cold air being drawn into the lower part of the smoke exhaust port; on the other hand, while suppressing the suction failure phenomenon, it applies boundary restrictions to the adjustment action based on the safety margin, thereby achieving the control effect of restoring smoke exhaust efficiency and maintaining the stable operation of the building smoke exhaust system while avoiding the stall of the fire exhaust fan.

[0008] Furthermore, the process by which the operational data processing module verifies the validity of the basic data on the smoke exhaust conditions includes: The basic data of the smoke exhaust operating conditions are subjected to range judgment, continuity judgment, communication status judgment and abnormal flag judgment. When the basic data of the smoke exhaust condition fails the range judgment, the continuity judgment, the communication status judgment, or the abnormal flag judgment, abnormal status information is generated. The smoke exhaust condition adjustment module receives the abnormal status information, stops controlling the fire smoke exhaust fan to reduce its operating frequency, stops controlling the mechanical make-up air fan to adjust automatically, and stops controlling the electric bypass regulating valve to open.

[0009] By adopting the above technical solution, a data filtering process is performed at the data input end to eliminate erroneous data that is out of range, discontinuous, or has communication abnormalities. When a sensor or transmission link fails, the system can promptly stop erroneous adjustments based on erroneous data, preventing abnormal frequency reduction of the fire exhaust fan or malfunction of valves due to equipment failure, thereby improving the reliability and fault tolerance of the control system.

[0010] Furthermore, the process by which the running data processing module calculates the normalized load includes: Extract the active power data or output torque data from the basic data of the smoke exhaust operating conditions, and use the active power data or the output torque data as the operating load of the smoke exhaust fan; The operating load of the exhaust fan at its operating frequency is converted into an equivalent load at its rated frequency, and this equivalent load is used as the normalized load.

[0011] By adopting the above technical solution, the actual operating load that changes during variable frequency speed regulation is uniformly converted to the equivalent state at the rated frequency. This process eliminates the influence of speed changes on the load value, so that the converted load data can objectively reflect the changes in gas density and wind resistance inside the flue gas network, providing a reliable data foundation for accurately extracting the abnormal load increase characteristics caused by the mixing of cold air.

[0012] Furthermore, the process by which the operational data processing module performs steady-state screening on the basic data of the smoke exhaust operating conditions includes: Calculate the changes in the operating frequency of the smoke exhaust fan and the changes in the opening of the electric bypass regulating valve at adjacent sampling times, and obtain the fire linkage status; When the change in the operating frequency of the smoke exhaust fan is less than a preset frequency change threshold, the change in the opening of the electric bypass regulating valve is less than a preset valve position change threshold, and the fire linkage state has not been switched, the filtered temperature, the operating frequency of the smoke exhaust fan, and the normalized load at the sampling time are output. When the fire exhaust fan is in the process of frequency increase or decrease, the electric bypass regulating valve is in the process of opening adjustment, or the fire linkage state is switched, the filtered temperature, the operating frequency of the exhaust fan, and the normalized load at the sampling time are paused.

[0013] By adopting the above technical solution, the system only outputs sampled data for status identification when the speed of the fire exhaust fan, the valve opening, and the fire linkage status are all stable. The steady-state screening process eliminates the influence of data fluctuations caused by dynamic adjustments of the equipment and normal frequency modulation or valve opening actions on feature extraction, thus reducing the system's misjudgment rate of abnormal smoke exhaust status.

[0014] Furthermore, the process of the adsorption-breakdown feature recognition module in recognizing the adsorption-breakdown state includes: The temperature change rate is calculated based on the filtered temperature. When the temperature change rate is less than a preset temperature change threshold, the temperature decrease feature is generated. The load change rate is calculated based on the normalized load. When the load change rate is greater than the preset load change threshold, the load increase characteristic is generated. Calculate the absorption breakdown characteristic based on the temperature drop characteristic and the load increase characteristic; When the absorption-breakdown characteristic exceeds the entry threshold and reaches the entry duration, it is determined that an absorption-breakdown state exists. When the adsorption-breakdown characteristic value is less than the exit threshold and the exit duration is reached, the adsorption-breakdown state is determined to be released, and the exit threshold is less than the entry threshold.

[0015] By adopting the above technical solution, based on the phenomenon that cold air intrusion causes a temperature drop and the increase in mixed gas density leads to an increase in load during the absorption breakdown, joint calculation of temperature and load characteristics is performed. Simultaneously, a dual-threshold judgment condition with hysteresis characteristics and a time condition are introduced to eliminate frequent switching of recognition results that may occur in the system under critical conditions, ensuring the stability of state determination.

[0016] Furthermore, the process by which the fan boundary constraint module calculates the safety margin by combining the operating frequency of the exhaust fan, the normalized load, and the fan calibration data includes: Based on the data correspondence between adjacent calibration loads and corresponding calibration air volumes in the fan calibration data, the estimated air volume at the sampling time is estimated in conjunction with the normalized load. The minimum stable air volume corresponding to the operating frequency of the exhaust fan is retrieved from the fan calibration data. The safety margin is calculated by combining the rated air volume of the smoke exhaust fan, the estimated air volume, and the minimum stable air volume.

[0017] By adopting the above technical solution, combining the normalized load with the pre-saved fan calibration data, the current smoke exhaust volume is dynamically estimated, and the safety margin between the current operating state of the fire-fighting smoke exhaust fan and the stall boundary is calculated. This calculation process sets a limiting boundary for subsequent frequency reduction actions, preventing the fire-fighting smoke exhaust fan from stalling due to excessive reduction in operating frequency, thus achieving a balance between the adjustment range and the safety of equipment operation.

[0018] Furthermore, the process by which the smoke exhaust condition adjustment module controls the fire-fighting smoke exhaust fan to reduce its operating frequency and controls the mechanical make-up air fan to adjust accordingly includes: When the suction failure state identification result indicates that a suction failure state exists, and the safety margin is greater than the preset minimum safety margin, the operating frequency of the exhaust fan is reduced according to the preset frequency reduction slope to generate the target frequency of the exhaust fan. The target smoke exhaust volume is determined based on the target frequency of the smoke exhaust fan and the fan calibration data, and the target make-up air volume is calculated in combination with the preset make-up air ratio coefficient. The operating status of the mechanical air supply fan is adjusted dynamically according to the target air supply volume.

[0019] By adopting the above technical solution, under the condition that a suction failure exists and the required safety margin is met, frequency reduction adjustment is performed. This reduces the entrainment effect of the exhaust port on the lower cold air by decreasing the local suction intensity, thus solving the problem of inefficient smoke exhaust. Simultaneously, the mechanical makeup air fan is controlled to adjust dynamically according to the target smoke exhaust volume, maintaining airflow balance and pressure gradient within the smoke control zone, avoiding excessive makeup air and smoke spread caused by simply reducing the exhaust frequency.

[0020] Furthermore, the process by which the wind turbine boundary constraint module generates the frequency reduction limitation result based on the safety margin includes: The safety margin is compared with the preset minimum safety margin. When the safety margin is less than or equal to the preset minimum safety margin, the frequency reduction limit result is generated. After receiving the frequency reduction limit result, the smoke exhaust condition adjustment module maintains the target frequency of the smoke exhaust fan at the operating frequency of the smoke exhaust fan.

[0021] By adopting the above technical solution, when the frequency reduction adjustment approaches the minimum stable operating boundary of the fire exhaust fan, the frequency reduction limit result is generated to prevent the target frequency from decreasing further. This process preserves the smoke exhaust capacity of the fire exhaust fan and avoids the risk of equipment shutdown or damage.

[0022] Furthermore, the process by which the smoke exhaust condition adjustment module controls the opening of the electric bypass regulating valve includes: When the frequency reduction limiting result is generated and the absorption breakdown state identification result indicates that absorption breakdown exists, the target opening degree of the bypass regulating valve is increased according to the preset bypass opening slope.

[0023] By adopting the above technical solution, the electric bypass regulating valve is opened even when frequency reduction is limited but the suction breakdown state still exists. By opening the electric bypass regulating valve to introduce external airflow, the minimum flow rate required by the fire exhaust fan is met to maintain stable operation, while reducing the suction ratio of the fire exhaust branch, further suppressing the suction breakdown state when frequency reduction is limited.

[0024] Furthermore, the operation condition recovery adjustment process of the smoke exhaust condition adjustment module after controlling the opening of the electric bypass regulating valve includes: When the result of the adsorption-breakdown state identification is that the adsorption-breakdown state has been released, it is determined that the working condition recovery condition has been met; The target opening of the bypass regulating valve is reduced according to the preset bypass closing slope; During the process of reducing the target opening of the bypass regulating valve, the target frequency of the exhaust fan is increased according to the preset recovery slope, and the mechanical makeup air fan is controlled to adjust according to the target makeup air volume.

[0025] By adopting the above technical solution, after the suction failure state is resolved, the system performs a recovery adjustment by reducing the bypass opening and increasing the operating frequency according to the set slope. This adjustment process avoids airflow impact caused by rapid valve closure or rapid increase in speed, prevents fluctuations in system operating data during the recovery process, and safely restores the system to normal smoke exhaust state.

[0026] This invention provides an intelligent control system for fire-fighting smoke exhaust fans based on adaptive regulation. It has the following beneficial effects: 1. This invention eliminates data interference caused by dynamic adjustment by performing steady-state screening and normalized load calculation through the running data processing module, and calculates the absorption breakdown characteristic quantity by combining the temperature drop characteristic of the filtered temperature and the load rise characteristic of the normalized load using the absorption breakdown characteristic identification module. At the same time, it makes judgments based on the entry threshold and exit threshold, thereby accurately identifying the absorption breakdown state and avoiding frequent switching of identification results under critical working conditions.

[0027] 2. This invention sets the equipment operating boundary by combining the fan boundary constraint module with the normalized load calculation safety margin. This allows the smoke exhaust condition adjustment module to control the fire exhaust fan to reduce its operating frequency to weaken the cold air entrainment effect when no frequency reduction limit result is generated. It also controls the mechanical makeup air fan to adjust according to the target makeup air volume. This suppresses the suction failure state and maintains the airflow balance of the smoke control zone while preventing the fire exhaust fan from stalling.

[0028] 3. The present invention controls the electric bypass regulating valve to open when the frequency reduction limitation result is generated and the suction breakdown state exists through the smoke exhaust condition regulation module. In this way, when the frequency reduction regulation is limited, the external airflow is used to continue to suppress the suction breakdown phenomenon. After the condition recovery is achieved, the valve opening and operating frequency are adjusted according to the preset bypass closing slope and preset recovery slope, respectively, thereby avoiding the airflow impact caused by rapid equipment action and realizing the safe and smooth recovery of the smoke exhaust condition. Attached Figure Description

[0029] Figure 1 This is a framework diagram of the intelligent control system for fire-fighting smoke exhaust fans according to an embodiment of the present invention; Figure 2 This is a flowchart illustrating the intelligent control method for fire-fighting smoke exhaust fans according to an embodiment of the present invention. Figure 3 This is a flowchart illustrating the acquisition and validity verification of basic data for smoke exhaust conditions in an embodiment of the present invention. Figure 4 This is a flowchart of the basic data processing and fan calibration data retrieval for smoke exhaust conditions in an embodiment of the present invention; Figure 5 This is a flowchart illustrating the absorption-breakdown state recognition process according to an embodiment of the present invention. Figure 6 This is a flowchart illustrating the smoke exhaust frequency reduction adjustment and make-up air follow-up adjustment in an embodiment of the present invention; Figure 7 This is a flowchart of the bypass mixing air adjustment and operating condition recovery adjustment according to an embodiment of the present invention; Figure 8 This is a comparison chart of the normalized load fluctuation amplitude spectrum of an embodiment of the present invention; Figure 9 This is a comparison diagram of the power spectrum of the absorption breakdown characteristic quantity in an embodiment of the present invention. Detailed Implementation

[0030] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0031] See attached document Figure 1 The present invention provides an intelligent control system for fire smoke exhaust fans based on adaptive regulation, including an operation data processing module, a suction penetration feature recognition module, a fan boundary constraint module, and a smoke exhaust condition adjustment module.

[0032] The intelligent control system for fire-fighting smoke exhaust fans, based on adaptive regulation, operates within the building's fire-fighting smoke exhaust facilities. These facilities include fire-fighting smoke exhaust fans, mechanical make-up air fans, smoke exhaust duct networks, bypass mixing branches, detection components, and control cabinets. Each fire-fighting smoke exhaust fan and mechanical make-up air fan is equipped with a frequency converter. The smoke exhaust duct network is connected to the inlet of the fire-fighting smoke exhaust fan, and the mechanical make-up air fan is connected to the make-up air duct. The control cabinet is connected to the frequency converters of the fire-fighting smoke exhaust fan, the mechanical make-up air fan, the detection components, and the fire-fighting linkage equipment.

[0033] The bypass mixing air branch is located at the inlet side of the fire exhaust fan. It includes a bypass duct, an electrically operated bypass regulating valve, a bypass fire damper, a check valve, and a mixing box. The mixing box is situated between the smoke exhaust network and the fire exhaust fan inlet. The bypass duct connects to an outdoor safe air source, an independent make-up air shaft, or a dedicated cold air duct protected by a fireproof partition. The bypass mixing air branch is used to provide additional air intake to the fire exhaust fan inlet when the frequency reduction of the fire exhaust fan is limited.

[0034] The detection components include a smoke exhaust duct temperature detection component, a fan inverter operating parameter reading component, a valve position feedback component, and a fire alarm linkage status detection component. The smoke exhaust duct temperature detection component detects the temperature of the smoke gas before it enters the fire exhaust fan. The fan inverter operating parameter reading component acquires the operating frequency, active power, output torque, and fault status of the fire exhaust fan. The valve position feedback component acquires the status of relevant valves. The fire alarm linkage status detection component acquires fire alarm signals, manual control signals from the fire control room, and fire interlock signals.

[0035] The control cabinet includes a PLC controller or DDC controller, a frequency converter communication interface, analog input / output interfaces, digital input / output interfaces, a fire alarm linkage interface, and an alarm output interface. The operation data processing module, the suction penetration feature recognition module, the fan boundary constraint module, and the smoke exhaust condition adjustment module are located within the PLC controller or DDC controller; each module is part of the controller's data processing and control logic.

[0036] The operation data processing module is used to complete operation data acquisition, data filtering, steady-state screening, load normalization processing, and fan calibration data retrieval. The operation data processing module receives data from the detection components and the frequency converter, and outputs the processed temperature change data, normalized load data, valve position status data, fire alarm linkage status data, and fan calibration data to the suction failure feature recognition module and the fan boundary constraint module.

[0037] The suction rupture feature recognition module is used to identify whether the smoke exhaust outlet is in a suction rupture state based on the temperature change characteristics of the smoke exhaust main pipe and the normalized load change characteristics of the fire smoke exhaust fan. The suction rupture feature recognition module receives temperature change data and normalized load data output by the operation data processing module, and forms a suction rupture state recognition result based on the temperature drop characteristics and the normalized load rise characteristics.

[0038] The fan boundary constraint module is used to determine the safety margin of the current operating point of the fire exhaust fan based on the calibration curve, current operating frequency, current operating load, and preset stall boundary. The fan boundary constraint module limits the frequency reduction of the fire exhaust fan based on the safety margin result and outputs the safety margin result to the smoke exhaust condition adjustment module.

[0039] The smoke exhaust condition adjustment module is used to adjust the operating frequency of the fire exhaust fan, the operating status of the mechanical make-up air fan, and the opening of the electric bypass regulating valve in conjunction with the suction failure status recognition result output by the suction failure feature recognition module and the safety margin result output by the fan boundary constraint module. When the smoke exhaust condition adjustment module recognizes a suction failure state and the safety margin of the fire exhaust fan meets the requirements, it controls the fire exhaust fan to reduce its operating frequency and controls the mechanical make-up air fan to adjust accordingly according to the target make-up air volume.

[0040] When the frequency reduction of the fire exhaust fan is restricted by the fan boundary constraint module and the suction failure state is not lifted, the smoke exhaust condition adjustment module controls the electric bypass regulating valve to open, so that the bypass mixing branch provides additional air intake to the inlet of the fire exhaust fan. After the bypass mixing branch is opened, the total flow rate of the fire exhaust fan impeller increases, and the proportion of the fire exhaust branch in the total intake flow rate decreases, thereby suppressing the suction failure state of the smoke exhaust outlet while maintaining the safe operation of the fire exhaust fan.

[0041] The operation data processing module, the suction puncture feature recognition module, the fan boundary constraint module, and the smoke exhaust condition adjustment module form a closed-loop control relationship. The operation data processing module provides basic operation data, the suction puncture feature recognition module outputs the suction puncture status recognition result, the fan boundary constraint module outputs the safety margin result, and the smoke exhaust condition adjustment module generates the smoke exhaust fan frequency control signal, the make-up air fan follow-up control signal, and the bypass valve opening control signal based on the suction puncture status recognition result and the safety margin result.

[0042] See attached document Figure 2 This invention provides an intelligent control method for fire-fighting smoke exhaust fans based on adaptive regulation. This method is applied to an intelligent control system for fire-fighting smoke exhaust fans based on adaptive regulation and includes the following steps: S100. Under the fire smoke exhaust control state, the operation data processing module acquires the basic data of the smoke exhaust condition and verifies the validity of the basic data of the smoke exhaust condition. S200, the operation data processing module filters, performs steady-state screening and normalized load calculation on the basic data of the smoke exhaust operation, and calls the fan calibration data and safe operation boundary corresponding to the current smoke exhaust fan; S300, the suction puncture feature recognition module calculates the suction puncture feature quantity based on the temperature change characteristics of the exhaust main pipe and the normalized load change characteristics of the exhaust fan, and identifies the suction puncture status of the exhaust port based on the suction puncture feature quantity; S400, the fan boundary constraint module calculates the safety margin of the smoke exhaust fan based on the smoke exhaust fan operation data, fan calibration data and safe operation boundary. When the smoke exhaust condition adjustment module exists in the suction break state and the smoke exhaust fan safety margin meets the frequency reduction condition, it performs smoke exhaust frequency reduction adjustment and make-up air follow-up adjustment. When the safety margin of the exhaust fan does not meet the conditions for continued frequency reduction and the suction failure state is not lifted, the S500 exhaust condition adjustment module performs bypass mixing adjustment and performs condition recovery adjustment after the suction failure state is lifted.

[0043] The specific implementation process of steps S100 to S500 is explained below.

[0044] See attached document Figure 3 After the fire smoke exhaust control status is established, the data processing module performs data acquisition and validity verification. This process provides basic data for subsequent filtering, normalized load calculation, absorption failure status identification, and smoke exhaust condition adjustment, and prevents missing, out-of-limit, or communication-abnormal data from entering subsequent calculation processes.

[0045] S101. After receiving the fire smoke exhaust control status signal, the operation data processing module performs a status judgment on the fire smoke exhaust control status signal. The fire smoke exhaust control status signal is formed by the fire alarm linkage signal, the fire control room manual control signal, and the smoke exhaust control cabinet operation enable signal.

[0046] When the data processing module determines that the fire exhaust control status signal is valid, it establishes a process for collecting basic data on the smoke exhaust operating conditions. When the data processing module determines that the fire exhaust control status signal is not valid, it does not initiate the absorption status identification process, but continues to monitor the fire exhaust control status signal.

[0047] S102. The operation data processing module collects basic data on smoke exhaust conditions according to a preset sampling period, and organizes the data obtained at the same sampling time into a set of basic data on smoke exhaust conditions. The basic data on smoke exhaust conditions comes from feedback on the operation of smoke exhaust fans, feedback on the temperature of smoke exhaust main pipes, feedback on the operation of make-up air, feedback on valve positions, and feedback on fire alarm linkage.

[0048] Sampling time The corresponding basic data set of smoke exhaust conditions Represented as: ; in, The sampling sequence number; Sampling sequence number The corresponding sampling time; Sampling time The corresponding set of basic data for smoke exhaust operation conditions; Sampling time The corresponding smoke exhaust fan operating data set; Sampling time Corresponding exhaust pipe temperature data; Sampling time The corresponding make-up air operation data set; Sampling time The corresponding valve position status data group; Sampling time The corresponding fire alarm linkage status data group.

[0049] Smoke exhaust fan operation data group Record the operating frequency, active power, output torque, operating current, and inverter fault status of the smoke exhaust fan. Makeup air operation data group. Record the operating frequency, operating status, and air supply control feedback of the make-up air fan. Valve position status data group. Record the opening degree of the bypass regulating valve, the status of the bypass fire damper, the status of the smoke exhaust fire damper, and the status of the check valve. Fire alarm linkage status data group. Record the status of fire alarm linkage, manual control status of fire control room, and fire interlock status.

[0050] The data processing module establishes a correspondence between data sources according to data type. (Exhaust fan operation data group) Temperature data of flue gas main pipe from the inverter feedback terminal and the electrical parameter acquisition terminal. Data from temperature detection terminal, make-up air operation group Valve position status data group from the feedback terminals of the make-up air fan inverter and the make-up air control. Fire alarm linkage status data group from valve position feedback terminal This data originates from the fire alarm linkage interface. This mapping allows data from the same sampling time to be processed synchronously in subsequent steps.

[0051] S103, The data processing module processes the basic data set of smoke exhaust conditions in the data cache area. Perform validity verification. Validity verification is performed based on range, continuity, communication status, and anomaly flags.

[0052] Range determination is used to confirm that the operating frequency, active power, output torque, exhaust pipe temperature, and bypass regulating valve opening of the exhaust fan are within the corresponding allowable range. Continuity determination is used to confirm that there are no jumps exceeding preset variation limits between adjacent sampling times for the same type of data.

[0053] The communication status check is used to confirm that the data transmission status of the inverter feedback terminal, temperature detection terminal, valve position feedback terminal, and fire alarm linkage interface is normal. The anomaly flag check is used to confirm that the data does not carry inverter fault, sensor fault, valve position feedback fault, or fire alarm interlock anomaly flags.

[0054] Basic data set of smoke exhaust conditions When the validity conditions are met, the data processing module will run the basic data set of smoke exhaust conditions. Write to the valid data cache area. Basic data set for smoke exhaust operation. If the validity conditions are not met, the running data processing module will prevent the collection of basic data on smoke exhaust conditions. Enter the adsorption and penetration feature recognition module.

[0055] S104, Operation data processing module in the basic data set of smoke exhaust conditions When the validity conditions are not met, abnormal status information is generated and output to the smoke exhaust condition adjustment module. The abnormal status information is used to characterize data missing status, data exceeding limits status, communication abnormal status, and equipment failure status.

[0056] Upon receiving abnormal status information, the smoke exhaust condition adjustment module ceases its adaptive adjustment based on the suction failure status identification result and outputs a control signal according to the preset safety logic under the fire smoke exhaust control status. This processing method is used to prevent invalid data from triggering smoke exhaust frequency reduction, make-up air follow-up, or bypass mixing adjustment.

[0057] See attached document Figure 4 After obtaining valid basic data on smoke exhaust conditions, the data processing module updates, filters, performs steady-state screening and normalization on the continuously collected data, and calls upon the fan calibration data. This process enables the suction penetration feature recognition module to obtain data that reflects changes in the smoke exhaust state, and enables the fan boundary constraint module to obtain data that can determine the safe operating boundaries of the fan.

[0058] S201. The operation data processing module updates the basic data of the smoke exhaust condition according to the preset sampling period. The basic data on smoke exhaust conditions are updated periodically, with sampling times as follows: With sampling time The relationship is: ; in, The sampling sequence number; Sampling sequence number The corresponding sampling time; Sampling sequence number The corresponding sampling time; This is the preset sampling period.

[0059] The data processing module runs at the sampling time. Read the basic data set of smoke exhaust operation And the basic data set of smoke exhaust conditions verified through effectiveness will be used. Write to the data buffer. The data buffer stores data from multiple consecutive sampling times in the order of sampling time, which is used for subsequent filtering, rate of change calculation, and steady-state screening.

[0060] S202, the operation data processing module performs moving average filtering on the exhaust pipe temperature data and exhaust fan operating load data to reduce the impact of instantaneous disturbances on subsequent identification results. Sampling time Corresponding filter temperature Represented as: ; in, The sampling sequence number; The sampling point number within the sliding window; Sampling sequence number The corresponding sampling time; Sampling sequence number The corresponding sampling time; Sampling time The corresponding filter temperature; This represents the number of sampling points within the sliding window; Sampling time Corresponding exhaust pipe temperature data; This is the summation symbol.

[0061] The operating load data of the smoke exhaust fans were processed using the same moving average method. Sampling time Corresponding filter load Represented as: ; in, The sampling sequence number; The sampling point number within the sliding window; Sampling sequence number The corresponding sampling time; Sampling sequence number The corresponding sampling time; Sampling time The corresponding filter load; Sampling time The corresponding exhaust fan operating load data.

[0062] When the exhaust fan's operating load data uses output torque data, the operating data processing module substitutes the output torque data into the same sliding window processing flow to obtain the sampling time. Corresponding filter torque Filtering temperature Filter load and filter torque Write the data to the valid data buffer for subsequent normalized load calculation and absorption-breakdown feature identification.

[0063] S203. The operation data processing module performs steady-state screening on the filtered smoke exhaust operating condition data. Steady-state screening is used to eliminate interference caused by smoke exhaust fan frequency regulation, bypass regulating valve operation, and fire alarm linkage switching on temperature and load changes.

[0064] Sampling time Corresponding change in the operating frequency of the smoke exhaust fan Represented as: ; in, The sampling sequence number; Sampling sequence number The corresponding sampling time; Sampling sequence number The corresponding sampling time; Sampling time The corresponding change in the operating frequency of the smoke exhaust fan; Sampling time The corresponding operating frequency of the smoke exhaust fan; Sampling time The corresponding operating frequency of the smoke exhaust fan; This represents absolute value operations.

[0065] Sampling time Corresponding change in the opening of the bypass control valve Represented as: ; in, The sampling sequence number; Sampling sequence number The corresponding sampling time; Sampling sequence number The corresponding sampling time; Sampling time The corresponding change in the opening of the bypass control valve; Sampling time The corresponding bypass control valve opening; Sampling time The corresponding bypass control valve opening; This represents absolute value operations.

[0066] When the operating frequency of the exhaust fan changes The change in the opening of the bypass regulating valve is less than the preset frequency change threshold. When the valve position change is less than the preset threshold and the fire alarm linkage status has not changed, the operation data processing module determines the sampling time. The data meets the conditions for absorption and penetration recognition.

[0067] When the smoke exhaust fan is in the process of increasing or decreasing frequency, the bypass regulating valve is in the process of adjusting its opening, or the fire alarm linkage status changes, the operation data processing module pauses the output of sampling time to the suction penetration feature recognition module. The data will be processed after the operating frequency of the exhaust fan, the opening degree of the bypass regulating valve, and the status of the fire alarm linkage return to stable conditions. The operation data processing module will then resume outputting data.

[0068] S204. The operation data processing module calculates the normalized load based on the operating frequency and load of the exhaust fan. When the exhaust fan operates using a variable frequency drive, changes in the operating frequency will cause changes in the fan power or torque with the speed. To mitigate the impact of variable frequency speed control on load changes, the operation data processing module converts the exhaust fan's operating load to an equivalent load at the rated frequency.

[0069] When the operating load data of the exhaust fan uses active power data, the sampling time is... Corresponding normalized load Represented as: ; in, The sampling sequence number; Sampling sequence number The corresponding sampling time; Sampling time The corresponding normalized load; Sampling time The corresponding filter load; The rated frequency of the smoke exhaust fan; Sampling time The corresponding operating frequency of the smoke exhaust fan.

[0070] When the exhaust fan's operating load data uses output torque data, the sampling time... Corresponding normalized load Represented as: ; in, The sampling sequence number; Sampling sequence number The corresponding sampling time; Sampling time The corresponding normalized load; Sampling time The corresponding filtered torque; The rated frequency of the smoke exhaust fan; Sampling time The corresponding operating frequency of the smoke exhaust fan.

[0071] Normalized load This is used to reflect the equivalent load of the exhaust fan under the current gas conditions and exhaust branch conditions. The running data processing module normalizes the load. The output is sent to the absorption-breakdown feature recognition module for subsequent load change feature extraction.

[0072] S205. The operation data processing module retrieves the fan calibration data and safe operating boundaries corresponding to the current smoke exhaust fan. The fan calibration data records the frequency data, air volume data, air pressure data, power data, torque data, and safe operating boundary data corresponding to the current smoke exhaust fan model. The safe operating boundary data records the minimum stable air volume and the corresponding safety margin threshold at different operating frequencies.

[0073] The operation data processing module retrieves the corresponding fan calibration data based on the current exhaust fan model or the fan number preset in the control cabinet, and sends the fan calibration data to the fan boundary constraint module. The fan boundary constraint module calculates the safety margin of the exhaust fan based on the fan calibration data, the current operating frequency, and the normalized load.

[0074] For sampling period settings, inverter communication, analog quantity acquisition, digital quantity acquisition, moving average filtering, median filtering, amplitude limiting filtering, and fan performance testing, those skilled in the art can configure them according to the interface conditions of the PLC controller or DDC controller, sensor noise characteristics, controller computing power, and fan performance testing procedures. The specific implementation is a well-known technology in this field and will not be elaborated here.

[0075] See attached document Figure 5 The suction breakdown feature recognition module receives the filtered temperature and normalized load output from the operation data processing module. When a suction breakdown occurs at the exhaust port, the lower low-temperature air is drawn into the exhaust airflow, causing the temperature of the exhaust main pipe to decrease; simultaneously, the density of the mixed gas entering the exhaust fan increases, causing the equivalent load of the exhaust fan to increase at the same operating frequency. The suction breakdown feature recognition module forms a suction breakdown state recognition result by jointly judging the temperature change characteristics and the normalized load change characteristics.

[0076] S301, the absorption-breakdown feature recognition module calculates the temperature change rate based on the filtered temperature and extracts the temperature drop feature. The absorption-breakdown feature recognition module receives the filtered temperature output from the running data processing module. And according to the sampling time and sampling time The corresponding filter temperature is used to calculate the rate of temperature change. : ; in, The sampling sequence number; Sampling sequence number The corresponding sampling time; Sampling sequence number The corresponding sampling time; Sampling time The corresponding rate of temperature change; Sampling time The corresponding filter temperature; Sampling time The corresponding filter temperature; This is the preset sampling period.

[0077] The absorption and penetration feature recognition module identifies the temperature change rate. Compare with 0. When the rate of temperature change When the value is less than 0, the absorption and penetration feature recognition module determines the sampling time. There is a decreasing temperature trend.

[0078] To avoid misjudgments caused by minute fluctuations, the absorption-permeability feature recognition module uses the temperature change rate. Compared with the preset temperature change threshold Comparison. When Less than At that time, the absorption and penetration feature recognition module extracts the temperature drop feature.

[0079] S302, the absorption-breakdown feature recognition module calculates the load change rate based on the normalized load and extracts the normalized load rise feature. The absorption-breakdown feature recognition module receives the normalized load output from the running data processing module. And according to the sampling time and sampling time The corresponding normalized load calculation load change rate : ; in, The sampling sequence number; Sampling sequence number The corresponding sampling time; Sampling sequence number The corresponding sampling time; Sampling time The corresponding load change rate; Sampling time The corresponding normalized load; Sampling time The corresponding normalized load; This is the preset sampling period.

[0080] The absorption and wear feature recognition module will identify the load change rate. Compare with 0. When the load change rate When the value is greater than 0, the absorption-penetration feature recognition module determines the sampling time. There is an upward trend in normalized load.

[0081] To avoid misjudgment caused by small load fluctuations, the absorption-breakdown feature recognition module uses the load change rate. Compared with the preset load change threshold Comparison. When Greater than At that time, the absorption-penetration feature recognition module extracts the normalized load increase feature.

[0082] S303, the absorption breakdown feature recognition module calculates the absorption breakdown feature quantity based on the temperature decrease characteristic and the normalized load increase characteristic. To ensure that the temperature change rate and load change rate can form a unified evaluation metric, the absorption breakdown feature recognition module uses a preset temperature change threshold for each. and preset load change threshold The intensity of temperature drop and load increase are normalized. Sampling time Corresponding absorption-breakdown characteristic Represented as: ; in, The sampling sequence number; Sampling sequence number The corresponding sampling time; Sampling time The corresponding absorption-breakdown characteristic; Sampling time The corresponding rate of temperature change; Sampling time The corresponding load change rate; The preset temperature change threshold; The preset load change threshold; This is a function that takes the maximum value.

[0083] Absorption and penetration characteristics It simultaneously reflects both the intensity of temperature drop and the intensity of normalized load increase. When the exhaust pipe temperature does not reach the temperature drop trigger condition, or the normalized load does not reach the load increase trigger condition, the absorption breakdown characteristic is... The corresponding product term is 0, and the feature recognition module does not include the sampling time. As the effective trigger moment for the adsorption-breakdown state.

[0084] When the exhaust pipe temperature reaches the temperature drop trigger condition and the normalized load reaches the load increase trigger condition, the absorption breakdown characteristic quantity The intensity increases with decreasing temperature and increasing normalized load. This combined calculation allows the identification of the absorption breakdown state to be constrained by both temperature and load changes, reducing the risk of misjudgment caused by relying on only a single parameter.

[0085] S304, The adsorption-breakdown feature recognition module identifies the adsorption-breakdown state based on the entry threshold and duration conditions. The adsorption-breakdown feature recognition module will then input the adsorption-breakdown feature quantity. With entry threshold Compare them. When the absorption-breakdown characteristic value Greater than the entry threshold At that time, sampling time It was recorded as a candidate moment for absorption and penetration.

[0086] The adsorption-breakdown feature recognition module counts the duration of adsorption-breakdown candidate moments within a continuous time window. When the duration of the adsorption-breakdown candidate state reaches the entry duration... At that time, the adsorption-penetration feature recognition module outputs the recognition result indicating that an adsorption-penetration state exists.

[0087] Entry threshold Trigger intensity used to limit the absorption breakdown characteristic quantity, entering the duration Used to limit the amount of absorption-breakdown feature from exceeding the entry threshold. The persistence of the threshold. and duration of entry The determination is based on the fan model, the layout of the smoke exhaust branch, the number of smoke exhaust outlets, and the engineering commissioning data.

[0088] S305, the adsorption-breakdown feature recognition module identifies the release of the adsorption-breakdown state based on the exit threshold and duration conditions. The adsorption-breakdown feature recognition module will then determine the adsorption-breakdown feature quantity. With exit threshold Compare them. When the absorption-breakdown characteristic value Less than the exit threshold At that time, sampling time It was recorded as a candidate moment for recovery.

[0089] The absorption-through feature recognition module counts the duration of the recovery candidate moment within a continuous time window. When the duration of the recovery candidate state reaches the exit duration... When the adsorption-penetration feature recognition module is activated, it outputs the recognition result indicating that the adsorption-penetration state has been released.

[0090] Exit threshold Less than the entry threshold By setting different entry thresholds and exit threshold The adsorption-breakdown feature recognition module establishes a hysteresis relationship between adsorption-breakdown state recognition and adsorption-breakdown state release, thus avoiding adsorption-breakdown feature quantity... Fluctuations around the threshold cause frequent switching of recognition results.

[0091] See attached document Figure 6 After the suction penetration feature recognition module outputs a result indicating the presence of a suction penetration state, the smoke exhaust condition adjustment module does not directly reduce the operating frequency of the fire exhaust fan. Instead, it determines the adjustment method based on the safety margin result output by the fan boundary constraint module. This process ensures that the smoke exhaust frequency reduction action is limited by the safe operating boundary of the fire exhaust fan, preventing the fire exhaust fan from entering the stall risk zone due to a reduction in the suction intensity of the smoke exhaust outlet.

[0092] S401, the fan boundary constraint module estimates the current operating point of the fire-fighting smoke exhaust fan based on the smoke exhaust fan's operating data, normalized load, and fan calibration data. The fan boundary constraint module receives the smoke exhaust fan's operating frequency output from the operating data processing module. and normalized load It also retrieves the fan calibration data corresponding to the current exhaust fan.

[0093] The fan calibration data records the air volume, air pressure, power, torque, and safe operating boundaries at different operating frequencies. The fan boundary constraint module interpolates the current operating point based on adjacent calibration points in the fan calibration data.

[0094] Sampling time Corresponding estimated air volume Represented as: ; in, The sampling sequence number; Sampling sequence number The corresponding sampling time; Sampling time The corresponding estimated air volume; Sampling time The corresponding normalized load; and In the wind turbine calibration data Two adjacent rated loads; and To correspond to respectively and The two rated air volumes.

[0095] When the current operating frequency When the frequency is between two calibration frequencies, the wind turbine boundary constraint module first determines the frequency based on the current operating frequency. Frequency interpolation is performed on the fan calibration data, and then the normalized load is considered. Estimating sampling time Corresponding estimated air volume .

[0096] S402, the fan boundary constraint module calculates the safety margin of the fire exhaust fan based on the current operating point and the safe operating boundary. The fan boundary constraint module retrieves the current operating frequency from the fan calibration data. Corresponding minimum stable air volume Minimum stable air volume This is used to indicate the air volume boundary that a fire exhaust fan needs to meet to stay away from the stall risk zone at the current operating frequency.

[0097] Sampling time Corresponding safety margin Represented as: ; in, The sampling sequence number; Sampling sequence number The corresponding sampling time; Sampling time The corresponding safety margin; Sampling time The corresponding estimated air volume; Current operating frequency The corresponding minimum stable air volume; This refers to the rated air volume of the smoke exhaust fan.

[0098] safety margin Used to characterize the distance between the current operating point and the safe operating boundary. When estimating airflow... Higher than the minimum stable air volume At that time, the fire exhaust fan has a margin for continued frequency reduction; when the estimated air volume Approaching minimum stable air volume At that time, continuing to reduce the operating frequency of the fire exhaust fan will increase the risk of stall.

[0099] S403, the smoke exhaust condition adjustment module determines whether to enter the smoke exhaust frequency reduction adjustment process based on the suction failure status identification result and the safety margin. The smoke exhaust condition adjustment module receives the suction failure status identification result output by the suction failure feature identification module and the safety margin output by the fan boundary constraint module. .

[0100] When the adsorption-breakdown feature recognition module outputs a recognition result indicating an adsorption-breakdown state, and the safety margin is... Greater than the preset minimum safety margin At this time, the smoke exhaust condition adjustment module enters the smoke exhaust frequency reduction adjustment process.

[0101] When safety margin Less than or equal to the preset minimum safety margin At this time, the smoke exhaust condition adjustment module will not continue to perform smoke exhaust frequency reduction adjustment and will retain the current operating frequency of the fire smoke exhaust fan. This process is used to ensure that the smoke exhaust frequency reduction adjustment is limited by the safe operating boundary of the fan.

[0102] S404. The smoke exhaust condition adjustment module reduces the operating frequency of the fire smoke exhaust fan according to the preset frequency reduction slope. After entering the smoke exhaust frequency reduction adjustment process, the smoke exhaust condition adjustment module adjusts the operating frequency according to the current operating frequency. Preset frequency reduction slope and preset sampling period Generate sampling time Corresponding target frequency of smoke exhaust fan : ; in, The sampling sequence number; Sampling sequence number The corresponding sampling time; Sampling sequence number The corresponding sampling time; Sampling time The corresponding target frequency for the smoke exhaust fan; Sampling time The corresponding operating frequency of the smoke exhaust fan; The preset frequency reduction slope; The preset sampling period; This is the minimum permissible operating frequency for the smoke exhaust fan; This is a function that takes the maximum value.

[0103] The smoke exhaust operating condition adjustment module adjusts the target frequency of the smoke exhaust fan. The output is sent to the frequency converter of the smoke exhaust fan, causing the fire smoke exhaust fan to reduce its operating frequency according to the restricted slope. The frequency reduction process reduces the local suction intensity of the smoke exhaust outlet, thereby reducing the entrapment of the lower, low-temperature air at the smoke exhaust outlet.

[0104] During the frequency reduction process, the wind turbine boundary constraint module continuously updates the safety margin. When safety margin When the conditions for further frequency reduction are not met, the smoke exhaust condition adjustment module stops reducing the target frequency of the smoke exhaust fan and switches the control process to the bypass mixing air adjustment process.

[0105] S405, the smoke exhaust condition adjustment module generates a makeup air follow-up adjustment amount based on the target smoke exhaust condition. When performing smoke exhaust frequency reduction adjustment, the smoke exhaust condition adjustment module simultaneously generates the makeup air follow-up adjustment amount. This makeup air follow-up adjustment amount is used to match the makeup air volume of the mechanical makeup air fan with the target smoke exhaust condition, preventing airflow disturbances caused by the makeup air volume remaining at the original operating condition after the smoke exhaust fan frequency is reduced.

[0106] Sampling time Corresponding target make-up air volume Represented as: ; in, The sampling sequence number; Sampling sequence number The corresponding sampling time; Sampling time The corresponding target make-up air volume; This refers to the make-up air ratio coefficient; Sampling time The corresponding target smoke emission volume.

[0107] Target smoke volume Based on the target frequency of the smoke exhaust fan The fan calibration data was determined. Makeup air ratio coefficient. The determination is based on the volume of the smoke control zone, the layout of the air supply outlets, the air supply volume in the engineering design, and the fire protection commissioning data.

[0108] The smoke exhaust condition adjustment module adjusts the air supply volume according to the target air volume. The system generates a control signal for the make-up air fan and outputs it to the make-up air fan inverter or make-up air control interface. The mechanical make-up air fan adjusts its operating status according to the make-up air fan control signal, so that the make-up air volume changes with the target smoke exhaust conditions.

[0109] For the interpolation of the fan calibration curve and the conversion between the target make-up air volume and the operating frequency of the make-up air fan, those skilled in the art can configure it according to the fan performance curve and the make-up air fan performance curve. The data processing process is a well-known technology in the field and will not be described in detail here.

[0110] See attached document Figure 7 When the fan boundary constraint module determines that the fire exhaust fan does not meet the conditions for further frequency reduction, the smoke exhaust condition adjustment module changes the adjustment method. At this time, the control objective changes from continuing to reduce the operating frequency of the smoke exhaust fan to changing the air intake composition on the fan inlet side through the bypass mixing branch, so as to keep the fire exhaust fan in a safe flow state and reduce the extraction ratio of the fire exhaust branch.

[0111] S501, the wind turbine boundary constraint module generates frequency reduction limit results based on the safety margin results. The wind turbine boundary constraint module continuously receives sampling data. Corresponding safety margin and safety margin With preset minimum safety margin Compare them.

[0112] When safety margin Greater than the preset minimum safety margin At this time, the smoke exhaust condition adjustment module allows the generation of the target frequency for the smoke exhaust fan to continue according to the frequency reduction adjustment process. When the safety margin... Less than or equal to the preset minimum safety margin At that time, the fan boundary constraint module generates the frequency reduction limit result and outputs the frequency reduction limit result to the exhaust condition adjustment module.

[0113] After receiving the frequency reduction limiting result, the smoke exhaust condition adjustment module will set the sampling time. Corresponding target frequency of smoke exhaust fan Keep as sampling time Corresponding operating frequency of smoke exhaust fan : ; in, The sampling sequence number; Sampling sequence number The corresponding sampling time; Sampling sequence number The corresponding sampling time; Sampling time The corresponding target frequency for the smoke exhaust fan; Sampling time The corresponding operating frequency of the smoke exhaust fan.

[0114] By maintaining the frequency, the smoke exhaust condition adjustment module stops further reducing the operating frequency of the fire smoke exhaust fan, thus preventing the operating point of the fire smoke exhaust fan from getting closer to the safe operating boundary.

[0115] S502, the smoke exhaust condition adjustment module determines the bypass mixing air adjustment conditions based on the frequency reduction limitation result and the suction breakdown state identification result. The smoke exhaust condition adjustment module receives the frequency reduction limitation result output by the fan boundary constraint module and the suction breakdown state identification result output by the suction breakdown feature identification module.

[0116] When the frequency reduction limit result indicates that the fire exhaust fan does not meet the conditions for continued frequency reduction, and the suction penetration feature identification module still outputs the identification result that there is a suction penetration state, the smoke exhaust condition adjustment module enters the bypass mixing air adjustment process.

[0117] When the frequency reduction limit result indicates that the fire exhaust fan does not meet the conditions for continued frequency reduction, but the suction penetration feature identification module outputs the identification result that the suction penetration state is released, the exhaust condition adjustment module does not enter the bypass mixing air adjustment process, but enters the condition recovery adjustment process.

[0118] This judgment method ensures that bypass mixing air regulation is only performed when the frequency reduction of the fire exhaust fan is limited by the safety margin and the suction failure state still exists, thus preventing the bypass mixing air branch from continuing to participate in regulation when the suction failure state has been lifted.

[0119] S503, the smoke exhaust condition adjustment module controls the opening of the bypass mixing branch and restricts the opening of the bypass regulating valve. After entering the bypass mixing adjustment process, the smoke exhaust condition adjustment module generates sampling times according to the preset bypass opening slope. The corresponding target opening of the bypass regulating valve : ; in, The sampling sequence number; Sampling sequence number The corresponding sampling time; Sampling sequence number The corresponding sampling time; Sampling time The corresponding target opening degree of the bypass regulating valve; Sampling time The corresponding bypass control valve opening; Preset bypass opening slope; The preset sampling period; This represents the maximum permissible opening of the bypass control valve. It is a function that takes the minimum value.

[0120] The smoke exhaust condition adjustment module will adjust the target opening of the bypass regulating valve. The output is sent to the electric bypass regulating valve, causing the bypass mixing branch to open according to the restricted slope. After the bypass mixing branch is opened, safe cold air enters the inlet side of the fire exhaust fan through the bypass mixing branch, and mixes with the smoke from the fire exhaust branch in front of the fan inlet.

[0121] After the bypass mixed ventilation branch is turned on, sampling time Corresponding total air volume at the fan inlet Air volume of fire exhaust branch and bypass mixed airflow Together they form: ; in, The sampling sequence number; Sampling sequence number The corresponding sampling time; Sampling time The corresponding total air volume at the fan inlet; Sampling time The corresponding air volume for fire smoke exhaust branch; Sampling time The corresponding bypass mixing branch air volume.

[0122] Bypass Mixed Airflow After the increase, the total airflow through the fire exhaust fan impeller increases, causing the operating point of the fire exhaust fan to shift towards the side with the larger airflow. Simultaneously, within the total intake airflow of the fire exhaust fan, the airflow of the fire exhaust branch increases. The reduced proportion of smoke exhaust reduces the local suction intensity at the smoke exhaust outlet. This adjustment method suppresses the suction breakdown state without further reducing the operating frequency of the fire exhaust fan.

[0123] S504, the smoke exhaust condition adjustment module determines the condition recovery conditions based on the suction breakdown status identification result. During the bypass mixing air adjustment process, the suction breakdown feature identification module continuously calculates the suction breakdown feature quantity. And based on the exit threshold and Exit Duration Output the results of the absorption and penetration status recognition.

[0124] When the breakdown characteristic quantity Less than the exit threshold And the corresponding state continues until the exit duration is reached. At that time, the suction puncture feature recognition module outputs the recognition result that the suction puncture state has been released. After receiving the recognition result that the suction puncture state has been released, the smoke exhaust condition adjustment module determines that the bypass mixing air adjustment has reached the condition recovery condition.

[0125] When the breakdown characteristic quantity Exit threshold not met and Exit Duration Under the given conditions, the smoke exhaust condition adjustment module maintains the bypass mixing air adjustment process and continues to receive the safety margin result output by the fan boundary constraint module. If the safety margin... Restored to a level greater than the preset minimum safety margin The smoke exhaust condition adjustment module still uses the suction failure status recognition result as the basis for recovery judgment to avoid the bypass mixing air adjustment exiting too early.

[0126] S505. After the suction failure state is lifted, the smoke exhaust condition adjustment module performs condition recovery adjustment. Once the smoke exhaust condition adjustment module determines that the condition recovery conditions have been met, it reduces the opening of the bypass regulating valve according to the preset bypass closing slope. Sampling time. The corresponding target opening of the bypass regulating valve Represented as: ; in, The sampling sequence number; Sampling sequence number The corresponding sampling time; Sampling sequence number The corresponding sampling time; Sampling time The corresponding target opening degree of the bypass regulating valve; Sampling time The corresponding bypass control valve opening; Preset bypass closure slope; The preset sampling period; This is the minimum permissible opening degree of the bypass control valve; This is a function that takes the maximum value.

[0127] During the process of reducing the opening of the bypass regulating valve, the smoke exhaust condition adjustment module simultaneously adjusts the operating frequency of the fire exhaust fan and the operating status of the mechanical makeup air fan. The operating frequency of the fire exhaust fan recovers to the preset fire exhaust frequency or stable smoke exhaust frequency according to the preset recovery slope, and the mechanical makeup air fan is adjusted accordingly based on the target makeup air volume.

[0128] Sampling time Corresponding target frequency of smoke exhaust fan Represented as: ; in, The sampling sequence number; Sampling sequence number The corresponding sampling time; Sampling sequence number The corresponding sampling time; Sampling time The corresponding target frequency for the smoke exhaust fan; Pre-set or stabilize the smoke exhaust frequency for fire protection; Sampling time The corresponding operating frequency of the smoke exhaust fan; Preset recovery slope; The preset sampling period; It is a function that takes the minimum value.

[0129] During the operation condition recovery and adjustment process, the operation data processing module continues to update the basic data of the smoke exhaust operation condition, the suction puncture feature recognition module continues to output the suction puncture status recognition result, and the fan boundary constraint module continues to output the safety margin result.

[0130] When the suction failure state recurs, the smoke exhaust condition adjustment module re-enters the smoke exhaust frequency reduction adjustment or bypass mixing air adjustment process; when the suction failure state does not recur and the safety margin of the fire exhaust fan meets the safety operation requirements, the system maintains stable smoke exhaust condition or fire preset condition.

[0131] The conversion between the opening of the bypass regulating valve and the air volume of the bypass mixing branch can be determined by those skilled in the art based on the valve flow characteristic curve, the resistance characteristics of the bypass duct, and engineering commissioning data. The conversion process is a well-known technology in the field and will not be elaborated here.

[0132] Specific application examples: To aid in understanding the present invention, an application verification was conducted using an intelligent control system for a fire exhaust fan in a smoke control zone of a building. The rated frequency of this fire exhaust fan is 50.0 Hz, and the rated air volume is 60,000 m³ / h. 3 The minimum permissible operating frequency of the smoke exhaust fan is 35.0Hz, and the preset sampling period is 1s. After the system enters the fire smoke exhaust control state, the operation data processing module acquires the smoke exhaust main temperature data, smoke exhaust fan operating frequency, active power data, bypass regulating valve opening data, and fire linkage status data. After validity verification, if the data does not show any range exceeding, communication abnormalities, or abnormal flags, it proceeds to filtering, steady-state screening, and normalized load calculation.

[0133] In this application example, the operating load data of the smoke exhaust fan uses active power data. Sampling time Corresponding operating frequency of smoke exhaust fan 42.0Hz, filter load The rated power of the exhaust fan is 51.0 kW, and its frequency is [missing information]. The frequency is 50.0Hz. The data processing module calculates according to the normalized load formula: ; Substituting the values, we get: ; The calculation results show that the normalized load of the smoke exhaust fan measured at an operating frequency of 42.0 Hz, after being converted to the rated frequency, is 86.1 kW. This data can be used for subsequent load increase feature extraction.

[0134] The absorption-breakdown feature recognition module receives filtered temperature and normalized load. Sampling time. Corresponding filter temperature The temperature was 318.0℃, and the sampling time was [missing information]. Corresponding filter temperature The temperature change rate is 311.6℃. The sampling rate is -6.4℃ / s. (Sampling time) Corresponding normalized load It is 84.9kW, sampling time Corresponding normalized load The load change rate is 86.1 kW. The speed is 1.2 kW / s. The preset temperature change threshold is... The preset load change threshold is 4.0. The value is 0.50, and the absorption breakdown characteristic is calculated according to the formula: ; Substituting the values, we get: ; In this application embodiment, the entry threshold The value is 0.80, indicating the duration has started. The duration is 15 seconds. Absorption-breakdown characteristic quantity. It reached 0.84 and remained above the entry threshold for 15 consecutive seconds. The adsorption breakdown feature recognition module outputs a result indicating the presence of adsorption breakdown. This calculation process demonstrates that the temperature decrease feature and the normalized load increase feature can jointly form the basis for adsorption breakdown identification, avoiding the need to rely solely on a single temperature parameter or a single load parameter for judgment.

[0135] The fan boundary constraint module receives the operating frequency, normalized load, and fan calibration data of the exhaust fan. It then interpolates the sampling time based on the fan calibration data. Corresponding estimated air volume 35800m 3 / h, current operating frequency Corresponding minimum stable air volume 30000m 3 / h, Rated air volume of exhaust fan 60000m 3 / h. The safety margin is calculated using the formula: ; Substituting the values, we get: ; Preset minimum safety margin It is 0.060. Due to the safety margin... Greater than the preset minimum safety margin The smoke exhaust operating condition adjustment module performs smoke exhaust frequency reduction adjustment and make-up air follow-up adjustment. After continuous frequency reduction, when the operating frequency of the smoke exhaust fan drops to 38.0Hz, the estimated air volume is determined. 32800m 3 / h, current operating frequency Corresponding minimum stable air volume 29800m 3 / h, safety margin It is 0.0500. Due to the safety margin... Less than the preset minimum safety margin The wind turbine boundary constraint module generates frequency reduction limit results.

[0136] When frequency reduction is limited and the suction breakdown condition persists, the smoke exhaust condition adjustment module enters the bypass mixing air adjustment process. Current opening degree of the electric bypass regulating valve. The preset bypass activation slope is 30%. The maximum allowable opening of the bypass control valve is 3pp / s. The target opening degree is 60%, where pp is the percentage point opening. The target opening degree of the bypass control valve is calculated according to the formula: ; Substituting the values, we get: ; Calculation results show that when the target opening of the electric bypass regulating valve increases from 30% to 33%, i.e., the opening value increases by 3pp, the bypass mixing branch opens according to the restricted slope. After the bypass mixing branch opens, the inlet side of the fire exhaust fan receives additional air intake, the proportion of the fire exhaust branch in the total intake flow decreases, and the local suction intensity of the exhaust outlet decreases accordingly. After continuous adjustment, the suction breakdown characteristic value falls below the exit threshold. And reach the exit duration The suction penetration feature recognition module outputs the recognition result of the suction penetration state being released, and the smoke exhaust condition adjustment module performs bypass shutdown, frequency restoration, and make-up air follow-up adjustment.

[0137] To verify the effectiveness of the present invention, a comparative experiment was conducted under the same smoke control zone, the same smoke exhaust duct network, and the same simulated fire source conditions. In the control group, the control logic of the present invention was not activated; the fire exhaust fan operated at the preset fire frequency, the mechanical make-up air fan maintained its original make-up air condition, and the electric bypass regulating valve remained closed. In the experimental group, the control logic of the present invention was activated, with the data processing module, the suction-breakdown feature recognition module, the fan boundary constraint module, and the smoke exhaust condition adjustment module participating in the control. The experiment recorded the smoke exhaust main duct temperature, smoke exhaust fan operating frequency, active power, normalized load, suction-breakdown feature quantity, safety margin, and the opening degree of the electric bypass regulating valve.

[0138] See attached document Figure 8 , attached Figure 8The horizontal axis represents frequency, and the vertical axis represents the normalized load fluctuation amplitude. Without the control logic of this invention enabled, the normalized load fluctuation forms a main peak around 0.032Hz with an amplitude of approximately 0.76, a secondary peak around 0.078Hz with an amplitude of approximately 0.37, and a smaller peak around 0.145Hz. After enabling the control logic of this invention, the main peak around 0.032Hz decreases to approximately 0.26, the secondary peak around 0.078Hz decreases to approximately 0.12, and the peak around 0.145Hz decreases to approximately 0.04. The two curves show significant differences within the range of 0.02Hz to 0.15Hz, indicating that the exhaust frequency reduction, make-up air follow-up, and bypass mixing air adjustment reduce the normalized load fluctuation amplitude.

[0139] See attached document Figure 9 , attached Figure 9 The horizontal axis represents frequency, and the vertical axis represents the power spectrum of the breakdown characteristic. Without the control logic of this invention enabled, the power spectrum of the breakdown characteristic forms a major peak around 0.032Hz, with corresponding peaks around 0.078Hz and 0.145Hz, indicating continuous fluctuations in the breakdown characteristic within the low-frequency range. After enabling the control logic of this invention, the peak values ​​of the power spectrum at the corresponding frequencies decrease, and the curve is generally below the control group curve. This result demonstrates that the exhaust frequency reduction adjustment, make-up air follow-up adjustment, and bypass mixing air adjustment after breakdown state identification can reduce the intensity of low-frequency fluctuations in the breakdown characteristic.

[0140] In summary, this application example verifies the feasibility of normalized load calculation, absorption breakdown characteristic calculation, safety margin calculation, and bypass control valve target opening calculation through numerical substitution. Experimental verification and appendix. Figure 8 Appendix Figure 9 The spectrum results show that the present invention can identify the suction failure state based on the temperature change of the smoke exhaust duct and the normalized load change of the smoke exhaust fan, and perform smoke exhaust frequency reduction regulation, make-up air follow-up regulation and bypass mixing air regulation under the safety margin constraint, thereby suppressing the suction failure state of the smoke exhaust outlet and maintaining the safe operation of the fire smoke exhaust fan.

Claims

1. An intelligent control system for fire-fighting smoke exhaust fans based on adaptive regulation, characterized in that, include: The data processing module is used to acquire basic data of the smoke exhaust condition and perform validity verification, filtering, steady-state screening and normalized load calculation on the basic data of the smoke exhaust condition, generate the filtered temperature, the operating frequency of the smoke exhaust fan and the normalized load, and call the fan calibration data. The absorption-breakdown feature recognition module is used to extract temperature drop features and load rise features based on the filtered temperature and the normalized load, and output the absorption-breakdown state recognition result. The fan boundary constraint module is used to calculate the safety margin by combining the operating frequency of the exhaust fan, the normalized load and the fan calibration data, and generate the frequency reduction limit result based on the safety margin; The smoke exhaust condition adjustment module is used to control the fire exhaust fan to reduce its operating frequency and control the mechanical make-up air fan to adjust accordingly when the suction failure state identification result indicates that a suction failure state exists and the frequency reduction limit result is not generated; and to control the electric bypass regulating valve to open when the frequency reduction limit result is generated and the suction failure state identification result indicates that a suction failure state exists.

2. The intelligent control system for fire-fighting smoke exhaust fans based on adaptive regulation according to claim 1, characterized in that, The process by which the operational data processing module verifies the validity of the basic data on smoke exhaust conditions includes: The basic data of the smoke exhaust operating conditions are subjected to range judgment, continuity judgment, communication status judgment and abnormal flag judgment. When the basic data of the smoke exhaust condition fails the range judgment, the continuity judgment, the communication status judgment, or the abnormal flag judgment, abnormal status information is generated. The smoke exhaust condition adjustment module receives the abnormal status information, stops controlling the fire smoke exhaust fan to reduce its operating frequency, stops controlling the mechanical make-up air fan to adjust automatically, and stops controlling the electric bypass regulating valve to open.

3. The intelligent control system for fire-fighting smoke exhaust fans based on adaptive regulation according to claim 1, characterized in that, The process by which the runtime data processing module calculates the normalized load includes: Extract the active power data or output torque data from the basic data of the smoke exhaust operating conditions, and use the active power data or the output torque data as the operating load of the smoke exhaust fan; The operating load of the exhaust fan at its operating frequency is converted into an equivalent load at its rated frequency, and this equivalent load is used as the normalized load.

4. The intelligent control system for fire-fighting smoke exhaust fans based on adaptive regulation according to claim 1, characterized in that, The process by which the operational data processing module performs steady-state screening on the basic data of the smoke exhaust conditions includes: Calculate the changes in the operating frequency of the smoke exhaust fan and the changes in the opening of the electric bypass regulating valve at adjacent sampling times, and obtain the fire linkage status; When the change in the operating frequency of the smoke exhaust fan is less than a preset frequency change threshold, the change in the opening of the electric bypass regulating valve is less than a preset valve position change threshold, and the fire linkage state has not been switched, the filtered temperature, the operating frequency of the smoke exhaust fan, and the normalized load at the sampling time are output. When the fire exhaust fan is in the process of frequency increase or decrease, the electric bypass regulating valve is in the process of opening adjustment, or the fire linkage state is switched, the filtered temperature, the operating frequency of the exhaust fan, and the normalized load at the sampling time are paused.

5. The intelligent control system for fire-fighting smoke exhaust fans based on adaptive regulation according to claim 1, characterized in that, The process of the adsorption-breakdown feature recognition module in recognizing the adsorption-breakdown state includes: The temperature change rate is calculated based on the filtered temperature. When the temperature change rate is less than a preset temperature change threshold, the temperature decrease feature is generated. The load change rate is calculated based on the normalized load. When the load change rate is greater than the preset load change threshold, the load increase characteristic is generated. Calculate the absorption breakdown characteristic based on the temperature drop characteristic and the load increase characteristic; When the absorption-breakdown characteristic exceeds the entry threshold and reaches the entry duration, it is determined that an absorption-breakdown state exists. When the adsorption-breakdown characteristic value is less than the exit threshold and the exit duration is reached, the adsorption-breakdown state is determined to be released, and the exit threshold is less than the entry threshold.

6. The intelligent control system for fire-fighting smoke exhaust fans based on adaptive regulation according to claim 1, characterized in that, The process by which the fan boundary constraint module calculates the safety margin by combining the operating frequency of the exhaust fan, the normalized load, and the fan calibration data includes: Based on the data correspondence between adjacent calibration loads and corresponding calibration air volumes in the fan calibration data, the estimated air volume at the sampling time is estimated in conjunction with the normalized load. The minimum stable air volume corresponding to the operating frequency of the exhaust fan is retrieved from the fan calibration data. The safety margin is calculated by combining the rated air volume of the smoke exhaust fan, the estimated air volume, and the minimum stable air volume.

7. The intelligent control system for fire-fighting smoke exhaust fans based on adaptive regulation according to claim 1, characterized in that, The process by which the smoke exhaust condition adjustment module controls the fire smoke exhaust fan to reduce its operating frequency and controls the mechanical make-up air fan to adjust accordingly includes: When the suction failure state identification result indicates that a suction failure state exists, and the safety margin is greater than the preset minimum safety margin, the operating frequency of the exhaust fan is reduced according to the preset frequency reduction slope to generate the target frequency of the exhaust fan. The target smoke exhaust volume is determined based on the target frequency of the smoke exhaust fan and the fan calibration data, and the target make-up air volume is calculated in combination with the preset make-up air ratio coefficient. The operating status of the mechanical air supply fan is adjusted dynamically according to the target air supply volume.

8. The intelligent control system for fire-fighting smoke exhaust fans based on adaptive regulation according to claim 7, characterized in that, The process by which the wind turbine boundary constraint module generates the frequency reduction limitation result based on the safety margin includes: The safety margin is compared with the preset minimum safety margin. When the safety margin is less than or equal to the preset minimum safety margin, the frequency reduction limit result is generated. After receiving the frequency reduction limit result, the smoke exhaust condition adjustment module maintains the target frequency of the smoke exhaust fan at the operating frequency of the smoke exhaust fan.

9. The intelligent control system for fire-fighting smoke exhaust fans based on adaptive regulation according to claim 8, characterized in that, The process by which the smoke exhaust condition adjustment module controls the opening of the electric bypass regulating valve includes: When the frequency reduction limiting result is generated and the absorption breakdown state identification result indicates that absorption breakdown exists, the target opening degree of the bypass regulating valve is increased according to the preset bypass opening slope.

10. The intelligent control system for fire-fighting smoke exhaust fans based on adaptive regulation according to claim 9, characterized in that, The operation condition recovery adjustment process of the smoke exhaust condition adjustment module after controlling the opening of the electric bypass regulating valve includes: When the result of the adsorption-breakdown state identification is that the adsorption-breakdown state has been released, it is determined that the working condition recovery condition has been met; The target opening of the bypass regulating valve is reduced according to the preset bypass closing slope; During the process of reducing the target opening of the bypass regulating valve, the target frequency of the exhaust fan is increased according to the preset recovery slope, and the mechanical makeup air fan is controlled to adjust according to the target makeup air volume.

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