Double-fan parallel operation control system and method based on dynamic flow balance

Abstract

The invention belongs to the technical field of intelligent control, and provides a double-fan parallel operation control system and method based on dynamic flow balance, and the system comprises a flow guide assembly, an electric control valve, a flow sensor and a control assembly; the flow sensors are used for collecting air flow data at the inlets and outlets of the corresponding fan branches and sending the air flow data to the control assembly; the control assembly is used for inputting the air flow data into the three-dimensional dynamic fluid mechanics model to obtain a flow deviation value between the current air flow and the target air flow, inputting the flow deviation value into the control decision model to obtain a control instruction, and issuing the control instruction to the flow guide assembly and / or the electric adjusting valve. And the flow guide direction of the flow guide assembly and / or the opening degree of the electric control valve are / is controlled. According to the scheme, the three-dimensional dynamic fluid mechanics model and the control decision model can be combined, the accurate control instruction is obtained, and the accuracy, reliability and convenience of the double-fan parallel operation control link are improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control technology, and in particular to a dual-fan parallel operation control system and method based on dynamic flow balance. Background Art

[0002] During the production of quartz boat products, process exhaust systems play a crucial role in discharging specialty gases, ensuring production safety, maintaining process stability, and complying with environmental standards. Dual-fan parallel operation is widely used in this field because it improves exhaust efficiency and enhances system reliability. However, current dual-fan parallel exhaust systems have numerous limitations in airflow distribution and control, making them difficult to meet the high-precision, high-efficiency demands of modern production.

[0003] Specifically, existing dual-fan parallel exhaust systems typically use fixed-structure ducts and flow guides, lacking the ability to dynamically adjust airflow. In actual operation, due to factors such as differences in fan performance, uneven distribution of duct resistance, and changes in operating conditions, each fan branch is prone to airflow distribution imbalances, resulting in excessive flow in some branches, exacerbating equipment wear, while other branches have insufficient flow, affecting the exhaust effect and resulting in low overall system energy efficiency. At the same time, the control method of traditional systems requires human intervention, relying mostly on simple manual adjustments or extensive control based on experience. It is impossible to accurately regulate fans, valves, and other equipment according to real-time operating conditions, making it difficult to achieve efficient airflow delivery and dynamic balance.

[0004] Therefore, the traditional dual-fan parallel exhaust system has technical problems such as low control accuracy and lack of intelligence and convenience. Summary of the Invention

[0005] The present invention provides a dual-fan parallel operation control system and method based on dynamic flow balance, which is used to solve the defects of traditional dual-fan parallel exhaust systems such as low control accuracy, lack of intelligence and convenience.

[0006] On the one hand, the present invention provides a dual-fan parallel operation control system based on dynamic flow balance, comprising: a flow guide component, an electric regulating valve, a flow sensor and a control component; The flow guide assembly is installed at the center of the dual-fan parallel three-way pipe section, the electric regulating valve is installed on each fan branch, and the flow sensor is installed at the entrance and exit of each fan branch. The flow guide assembly, the electric regulating valve and the flow sensor are all connected to the control assembly; The flow sensor is used to collect air flow data at the inlet and outlet of the corresponding fan branch, and send the air flow data to the control component; The control component is used to input the air flow data into a pre-established three-dimensional dynamic fluid mechanics model to obtain a flow deviation value between the current air flow and the target air flow, input the flow deviation value into a pre-built control decision model to obtain a control instruction, and send the control instruction to the guide component and / or the electric control valve to control the guide direction of the guide component and / or the opening of the electric control valve.

[0007] According to the dual-fan parallel operation control system based on dynamic flow balance provided by the present invention, the guide assembly includes: a guide plate and a micro servo motor; The guide plate is installed at the central axis position of the dual-fan parallel three-way pipe section, the micro servo motor is connected to the central axis position of the guide plate through a coupling, the servo motor is connected to the control component, and the servo motor drives the guide plate to rotate to adjust the diversion direction.

[0008] According to the dual-fan parallel operation control system based on dynamic flow balance provided by the present invention, the control decision model includes: an adaptive regulator and a PID controller; The adaptive regulator is used to determine the deviation change rate based on the flow deviation value, and obtain the PID parameter adjustment amount through fuzzy reasoning according to the flow deviation value and the deviation change rate; The PID controller is used to adjust the current PID parameters according to the PID parameter adjustment amount, perform proportional-integral-differential operation on the flow deviation value to obtain the target control amount, and generate a control instruction based on the target control amount.

[0009] According to the dual-fan parallel operation control system based on dynamic flow balance provided by the present invention, the PID parameter adjustment amount is obtained through fuzzy reasoning based on the flow deviation value and the deviation change rate, including: After normalizing the flow deviation value and the deviation change rate, the values ​​are mapped to a fuzzy domain of a set numerical interval and divided into multiple fuzzy subsets; Performing fuzzy reasoning on the plurality of fuzzy subsets according to a preset fuzzy rule base to generate fuzzy output quantities; A defuzzification operation is performed on the fuzzy output to obtain a PID parameter adjustment amount.

[0010] According to the dual-fan parallel operation control system based on dynamic flow balance provided by the present invention, the target control variable includes a target opening value, and the control instruction includes an opening control instruction; Generating a control instruction according to the target control variable includes: When the flow deviation value is higher than a first set threshold value, the control instruction is to adjust the opening of the electric regulating valve to a target opening value according to a first adjustment step; When the flow deviation value is lower than a second set threshold, the control instruction is to adjust the opening of the electric regulating valve to a target opening value according to a second adjustment step; When the flow deviation value is between the second set threshold value and the first set threshold value, the control instruction is to adjust the opening of the electric control valve to the target opening value according to the third adjustment step; The first adjustment step, the third adjustment step and the second adjustment step decrease in sequence.

[0011] According to the dual-fan parallel operation control system based on dynamic flow balance provided by the present invention, the control component is further used for: The air flow data and the flow deviation value are input into a pre-built state assessment model to obtain a state assessment result.

[0012] According to the dual-fan parallel operation control system based on dynamic flow balance provided by the present invention, the control component is further used for: When it is detected that the status assessment result is a hidden danger state, the pre-established flow deviation-maintenance strategy comparison table is retrieved, the target maintenance strategy corresponding to the flow deviation value in the flow deviation-maintenance strategy comparison table is extracted, and based on the target maintenance strategy, hidden danger warning information is generated and issued.

[0013] According to the dual-fan parallel operation control system based on dynamic flow balance provided by the present invention, the system further includes: a temperature sensor and a pressure sensor; The temperature sensor is used to collect ambient temperature data near the three-way pipe section of the dual-fan parallel connection, and the pressure sensor is used to collect atmospheric pressure data near the three-way pipe section of the dual-fan parallel connection; The control component is further configured to correct the air flow data according to the ambient temperature data and the atmospheric pressure data to obtain corrected air flow data.

[0014] According to the dual-fan parallel operation control system based on dynamic flow balance provided by the present invention, the control component corrects the air flow data according to the ambient temperature data and the atmospheric pressure data to obtain the corrected air flow data, including: Determining the temperature correction coefficient corresponding to the ambient temperature data based on a pre-established temperature-correction coefficient curve; Determining the pressure correction coefficient corresponding to the atmospheric pressure data based on a pre-established pressure-correction coefficient curve; Establishing a correction compensation model according to the pressure correction coefficient and the temperature correction coefficient; The air flow data is input into the correction compensation model to obtain corrected air flow data.

[0015] On the other hand, the present invention further provides a method for controlling the parallel operation of two fans based on dynamic flow balance, based on any of the above-mentioned control systems for the parallel operation of two fans based on dynamic flow balance, the method comprising: Collecting air flow data at the inlet and outlet of the corresponding fan branch through a flow sensor, and sending the air flow data to the control component; The air flow data is input into a pre-established three-dimensional dynamic fluid mechanics model through the control component to obtain a flow deviation value between the current air flow and the target air flow, the flow deviation value is input into a pre-built control decision model to obtain a control instruction, and the control instruction is sent to the guide component and / or the electric control valve to control the guide direction of the guide component and / or the opening of the electric control valve.

[0016] The present invention provides a dual-fan parallel operation control system and method based on dynamic flow balance. The flow sensor collects air flow data at the inlet and outlet of the corresponding fan branch and sends the air flow data to the control component. The control component inputs the air flow data into a pre-established three-dimensional dynamic fluid mechanics model to obtain a flow deviation value between the current air flow and the target air flow, inputs the flow deviation value into a pre-established control decision model to obtain a control instruction, and sends the control instruction to the flow guide component and / or the electric control valve to control the flow direction of the flow guide component and / or the opening of the electric control valve. Since the control link can obtain more accurate control instructions based on the air flow data at the inlet and outlet of each fan branch, combined with the three-dimensional dynamic fluid mechanics model and the control decision model, the accuracy and reliability of the dual-fan parallel operation control link are improved. The entire control process can be automatically executed, which improves the convenience of the control link. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 Schematic diagram of the structural framework of a dual-fan parallel operation control system based on dynamic flow balance provided by an embodiment of the present invention; Figure 2It is a flow chart of a dual-fan parallel operation control method based on dynamic flow balance provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0019] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0020] The following combination Figure 1 and Figure 2 The detailed scheme of the control system and method for parallel operation of dual fans based on dynamic flow balance provided by the embodiment of the present invention is described.

[0021] like Figure 1 As shown, the dual-fan parallel operation control system based on dynamic flow balance provided by the embodiment of the present invention mainly includes: a flow guide component 110, an electric regulating valve 120, a flow sensor 130 and a control component 140.

[0022] The guide component 110 is installed at the center position of the dual-fan parallel three-way pipe section, the electric regulating valve 120 is installed on each fan branch, and the flow sensor 130 is installed at the entrance and exit of each fan branch. The guide component 110, the electric regulating valve 120 and the flow sensor 130 are all connected to the control component 140.

[0023] The flow sensor 130 is used to collect air flow data at the inlet and outlet of the corresponding fan branch, and send the air flow data to the control component 140.

[0024] The control component 140 is used to input the air flow data into a pre-established three-dimensional dynamic fluid mechanics model to obtain a flow deviation value between the current air flow and the target air flow, input the flow deviation value into a pre-built control decision model to obtain a control instruction, and send the control instruction to the diversion component 110 and / or the electric control valve 120 to control the diversion direction of the diversion component 110 and / or the opening of the electric control valve 120.

[0025] The solution provided in this embodiment can obtain more accurate control instructions by collecting air flow data at the inlet and outlet of each fan branch, combining it with a three-dimensional dynamic fluid mechanics model and a control decision model, and then effectively control the diversion direction of the diversion component and / or the opening of the electric regulating valve to achieve the control goal of dynamic flow balance.

[0026] In one embodiment, the guide assembly specifically includes: a guide plate and a micro servo motor.

[0027] The guide plate is installed at the central axis position of the dual-fan parallel three-way pipe section. The micro servo motor is connected to the central axis position of the guide plate through a coupling. The servo motor is connected to the control component. The servo motor drives the guide plate to rotate to adjust the diversion direction.

[0028] In this embodiment, the deflector can utilize a multi-layer composite rotatable structure. Specifically, a modular stacked design can be employed, consisting of three layers of 3-5mm thick high-strength aluminum alloy plates. Each layer is connected by high-precision ball bearings, ensuring independent rotation around its central axis. Each deflector layer is specially treated with a low-friction coating to effectively reduce airflow resistance. The edges of the deflector can be designed as streamlined curves.

[0029] In one specific implementation, each deflector layer can be composed of a high-strength, lightweight alloy skeleton and a deflector panel coated with a nano-scale ultra-smooth coating. The alloy skeleton adopts a honeycomb-like hollow design to reduce weight while maintaining structural strength. The nano-scale ultra-smooth coating on the deflector panel is based on a fluoropolymer material and is specially processed to form an extremely low surface energy microstructure, effectively reducing airflow resistance.

[0030] In practice, the central axis of each deflector plate is directly connected to its corresponding micro-servo motor via a coupling. The micro-servo motor has a built-in absolute encoder, enabling precise angle control. Each micro-servo motor is synchronously controlled by a bus-type servo drive, enabling independent adjustment of a single axis or coordinated adjustment of multiple axes. To ensure rotational reliability, deep-groove ball bearings are installed at each end of the central axis, along with torque limiters to prevent overload damage.

[0031] In this embodiment, the valve body of the electric control valve is made of a new duplex stainless steel material, integrated into a special forging process, combining high strength with excellent corrosion resistance. The internal flow path of the valve body adopts a streamlined design, with gradual transition sections at both the inlet and outlet to further reduce fluid flow resistance. The valve sealing structure uses a multi-layer composite sealing material, with an inner layer of highly elastic polytetrafluoroethylene and an outer layer of a metal corrugated compensation structure. While ensuring good sealing, it can effectively compensate for seal deformation caused by temperature changes and pressure fluctuations, ensuring zero leakage during long-term operation of the valve.

[0032] In actual applications, before the entire control system is officially put into operation, multiple tests can be carried out to ensure the availability of the entire control system. The testing process specifically involves functional testing, performance testing, reliability testing, and environmental adaptability testing.

[0033] During the functional testing phase, each function of the entire control system can be tested individually, including the angle adjustment function of the guide plate, the valve opening adjustment function, the flow sensor measurement function, the control algorithm execution function, etc. By simulating different flow conditions, it is verified whether the entire control system can achieve dynamic flow balance control, whether it can accurately respond to control commands, and whether various functional indicators meet the design requirements.

[0034] During performance testing, the entire control system can be tested in a laboratory environment. Tests include indicators such as the system's flow adjustment range, flow control accuracy, response time, and energy consumption. By varying system operating parameters and simulating different operating conditions, system operating data is collected and analyzed for performance. Furthermore, the entire control system is compared with a traditional dual-fan parallel operation system to verify the performance advantages of the improved control system.

[0035] During reliability testing, the entire control system can be subjected to long-term continuous operation tests, simulating its actual operating conditions. This allows the operation of each system module to be monitored, and the time, type, and frequency of system failures to be recorded. Through reliability testing, the MTBF of the entire control system can be assessed, potential reliability issues can be identified, and targeted improvements can be made to improve the reliability and stability of the entire control system.

[0036] During the environmental adaptability test, the entire control system is subjected to various environmental conditions, including high and low temperatures, high humidity, and high dust levels. The system's operational performance and reliability are tested under these conditions, assessing its ability to adapt to changing environments. Based on the test results, protection design and optimization are performed on the entire control system to ensure its ability to operate normally in a variety of complex environments.

[0037] In practical applications, the construction of a three-dimensional dynamic fluid dynamics model can be based on the Bernoulli equation and the continuity equation as a theoretical framework. This, combined with the actual operating characteristic curves of the fan under different speed and wind pressure conditions, allows for precise determination of fan performance parameters. Furthermore, by combining experimental measurements with theoretical calculations, the longitudinal and local resistance coefficients of the pipeline are determined, as well as the flow characteristics of the three-way pipe guide assembly. By integrating these elements, a three-dimensional dynamic fluid dynamics model of a dual-fan parallel system can be established.

[0038] Furthermore, computational fluid dynamics methods can be used to numerically simulate and optimize the three-dimensional dynamic fluid dynamics model, using professional simulation software such as ANSYS Fluent to set various boundary conditions and operating parameters. By simulating the flow field distribution within the dual-fan parallel system under different operating conditions, including typical scenarios such as steady-state operation, sudden load changes, and the start and stop of a single fan, visualization methods such as streamline diagrams, pressure cloud diagrams, and velocity vector diagrams are used to carefully analyze the impact of factors such as the diversion direction of the diversion component, the opening of the electric control valve, and the pipeline layout on airflow distribution. For example, the variation pattern of the air volume of each branch when the diversion direction of the diversion component changes can be analyzed; the coupling relationship between system pressure loss and flow distribution when the opening of the electric control valve ranges from 20% to 100% can be analyzed, thereby providing a theoretical basis for the generation of subsequent control instructions.

[0039] In some embodiments, a three-dimensional dynamic fluid dynamics model can be used to simulate and analyze the operating state of a dual-fan parallel system under various operating conditions, including system startup, shutdown, sudden load changes, and single-fan failures. Through simulation and analysis, corresponding emergency response plans and control strategies can be developed to ensure stable operation and flow balance of the dual-fan parallel system under various operating conditions. Simultaneously, simulation results can be used to train system operators, improving their understanding of the operating characteristics of the dual-fan parallel system and their emergency response capabilities.

[0040] In one embodiment, the control decision model specifically includes: an adaptive regulator and a PID controller.

[0041] The adaptive regulator is used to determine the deviation change rate based on the flow deviation value, and obtain the PID parameter adjustment amount through fuzzy reasoning based on the flow deviation value and the deviation change rate.

[0042] In a specific implementation, the PID parameter adjustment amount is obtained through fuzzy reasoning based on the flow deviation value and the deviation change rate, specifically including: Firstly, the flow deviation value and the deviation change rate are normalized and mapped to the fuzzy domain of the set numerical interval, and then divided into multiple fuzzy subsets.

[0043] In practical applications, the fuzzy domain of the flow deviation value is usually set to [-E, E], such as [-10, 10]. Then, the fuzzy level number is divided by the upper limit value E of the fuzzy domain to obtain the quantization factor corresponding to the flow deviation value. The fuzzy domain of the deviation change rate is usually set to [-EC, EC], such as [-5, 5]. Then, the fuzzy level number is divided by the upper limit value EC of the fuzzy domain to obtain the quantization factor corresponding to the deviation change rate.

[0044] In this embodiment, the fuzzy subset generally adopts 7 levels, such as {negative large (NB), negative medium (NM), negative small (NS), zero (ZO), positive small (PS), positive medium (PM), positive large (PB)}.

[0045] Then, according to the preset fuzzy rule base, fuzzy reasoning is performed on multiple fuzzy subsets to generate fuzzy output quantities.

[0046] It should be noted that the input of the adaptive regulator includes the flow deviation value e and the deviation change rate ec. The PID parameter adjustment output by the adaptive regulator includes the proportional coefficient adjustment ΔP, the integral coefficient adjustment ΔI, and the differential coefficient adjustment ΔD. The fuzzy rules in the fuzzy rule base need to be designed in combination with the PID control principle and the characteristics of the flow system, mainly following the following logic: The rule design of ΔP is as follows: When |e| is large, increase ΔP to quickly reduce the deviation; When |e| is small, reduce ΔP to avoid overshoot.

[0047] The rule design of ΔI is as follows: When |e| is large, reduce ΔI to avoid integral saturation; When the system approaches steady state, increase ΔI to eliminate static error.

[0048] The rule design of ΔD is as follows: When ec is large, ΔD is increased to suppress dynamic changes; When ec is small, ΔD is reduced to avoid system oscillation.

[0049] In this embodiment, fuzzy reasoning is performed on multiple fuzzy subsets using a single-rule reasoning plus multi-rule synthesis method. The single-rule reasoning step is implemented using the Mamdani reasoning method, and the multi-rule synthesis step obtains the fuzzy output by taking the union (i.e., the maximum value) of all activated rule results.

[0050] Finally, the fuzzy output is defuzzified to obtain the PID parameter adjustment amount.

[0051] This embodiment uses the center of gravity method to implement the defuzzification operation. Specifically, the defuzzification result can be calculated through the corresponding membership degree and the discrete points in the fuzzy domain. Then, the defuzzification result is multiplied by the proportional factor, the integral factor, and the differential factor respectively to obtain the proportional coefficient adjustment amount, the integral coefficient adjustment amount, and the differential coefficient adjustment amount, thereby obtaining the PID parameter adjustment amount.

[0052] The PID controller is used to adjust the current PID parameters according to the PID parameter adjustment amount, perform proportional-integral-differential operations on the flow deviation value, obtain the target control amount, and generate control instructions based on the target control amount.

[0053] In the proportional operation link, the control action can be output proportionally according to the size of the flow deviation; the role of the integral link is to eliminate the steady-state error of the system, that is, when the system reaches a stable state, the flow deviation between the actual flow and the target flow is made zero, and the output of the integral link is the accumulation of the flow deviation over time; the differential link is mainly used to predict the changing trend of the flow deviation value, and the control action can be output according to the deviation change rate. The differential link can give a larger control action in advance when the flow deviation value just shows a changing trend, suppressing the further increase of the flow deviation value, thereby improving the stability and dynamic performance of the system.

[0054] Finally, the three output quantities of the proportional link, integral link and differential link are added together to obtain the total output of the PID controller, that is, the target control quantity.

[0055] In this embodiment, the target control variable includes a target opening value, and the control instruction includes an opening control instruction.

[0056] Furthermore, based on the target control quantity, a control instruction is generated, specifically including: When the flow deviation value is higher than the first set threshold, the control instruction is to adjust the opening of the electric control valve to the target opening value according to the first adjustment step.

[0057] When the flow deviation value is lower than the second set threshold, the control instruction is to adjust the opening of the electric control valve to the target opening value according to the second adjustment step.

[0058] When the flow deviation value is between the second set threshold value and the first set threshold value, the control instruction is to adjust the opening of the electric control valve to the target opening value according to the third adjustment step.

[0059] Among them, the first adjustment step, the third adjustment step and the second adjustment step decrease in sequence.

[0060] In this embodiment, when the flow deviation value is large, in order to improve the regulation efficiency, a larger regulation step can be set to quickly adjust the opening of the current regulating valve. When the flow deviation value is small, in order to improve the regulation accuracy, a smaller regulation step can be set to accurately adjust the opening of the current regulating valve. That is to say, this embodiment can adopt different regulation steps to achieve opening adjustment according to the size of the flow deviation value, so as to better meet the actual regulation needs.

[0061] In one embodiment, the control component is further configured to: The air flow data and flow deviation value are input into the pre-built state assessment model to obtain the state assessment results.

[0062] In this embodiment, the status assessment model can adopt a machine learning model built by a deep learning neural network and be obtained through training with a large amount of sample data. It can realize the status assessment of the dual fans under the parallel operation condition based on the air flow data and flow deviation value, and specifically can output two status assessment results: hidden danger status and normal status.

[0063] Furthermore, the control component is also used to: When the status assessment result is detected as a hidden danger state, the pre-established flow deviation-maintenance strategy comparison table is retrieved, the target maintenance strategy corresponding to the flow deviation value in the flow deviation-maintenance strategy comparison table is extracted, and based on the target maintenance strategy, hidden danger warning information is generated and issued.

[0064] In this embodiment, when the status assessment result is a hidden danger state, in order to avoid further deduction of the hidden danger and causing actual failure, the target maintenance strategy corresponding to the current flow deviation value can be extracted from the flow deviation-maintenance strategy comparison table by looking up the table, and then the hidden danger warning information containing the target maintenance strategy is generated to promptly remind relevant staff of the hidden danger of failure and give maintenance suggestions to facilitate timely manual intervention by staff.

[0065] In one embodiment, the dual-fan parallel operation control system based on dynamic flow balance may further include: a temperature sensor and a pressure sensor.

[0066] The temperature sensor is used to collect ambient temperature data near the three-way pipe section of the dual-fan parallel connection, and the pressure sensor is used to collect atmospheric pressure data near the three-way pipe section of the dual-fan parallel connection.

[0067] The control component is further used to correct the air flow data according to the ambient temperature data and the atmospheric pressure data to obtain corrected air flow data.

[0068] In practical applications, the ambient temperature data and atmospheric pressure data can be combined to perform temperature and pressure compensation on the air flow data through the built-in compensation algorithm to improve measurement accuracy.

[0069] In a specific implementation, the control component corrects the air flow data based on the ambient temperature data and the atmospheric pressure data to obtain the corrected air flow data, specifically including: The first step is to determine the temperature correction coefficient corresponding to the ambient temperature data based on the pre-established temperature-correction coefficient curve.

[0070] In this embodiment, during the construction phase of the temperature-correction coefficient curve, multiple sets of ambient temperature values ​​and corresponding temperature correction coefficients can be obtained through pre-calibration. The temperature correction coefficient is used as the vertical coordinate value, and the ambient temperature value is used as the horizontal coordinate value to construct multiple two-dimensional data points. The multiple two-dimensional data points are fitted to obtain the temperature-correction coefficient curve.

[0071] The second step is to determine the pressure correction coefficient corresponding to the atmospheric pressure data based on the pre-established pressure-correction coefficient curve.

[0072] In this embodiment, during the construction phase of the pressure-correction coefficient curve, multiple sets of atmospheric pressure values ​​and corresponding pressure correction coefficients can be obtained through pre-calibration. The pressure correction coefficient is used as the vertical coordinate value, and the atmospheric pressure value is used as the horizontal coordinate value to construct multiple two-dimensional data points. The multiple two-dimensional data points are fitted to obtain the pressure-correction coefficient curve.

[0073] The third step is to establish a correction compensation model based on the pressure correction coefficient and the temperature correction coefficient.

[0074] In this embodiment, the modified compensation model can be expressed as follows: (1) Among them, Q is the air flow data after correction, Q0 is the air flow data before correction, K T is the temperature correction coefficient, K P is the pressure correction factor.

[0075] The fourth step is to input the air flow data into the correction compensation model to obtain the corrected air flow data.

[0076] In some embodiments, the flow sensor also has a self-diagnosis function and can regularly detect its own working status. When it detects that the temperature sensor itself has faults such as zero point drift and sensitivity decrease, it automatically sends a fault alarm message to the control component and provides a fault code to facilitate maintenance personnel to quickly locate and troubleshoot the fault.

[0077] Based on the same general inventive concept, the present invention also protects a dual-fan parallel operation control method based on dynamic flow balance. The dual-fan parallel operation control method based on dynamic flow balance provided by the present invention is described below. The dual-fan parallel operation control method based on dynamic flow balance described below and the dual-fan parallel operation control system based on dynamic flow balance described above can be referenced to each other.

[0078] like Figure 2 As shown, the dual-fan parallel operation control method based on dynamic flow balance provided in an embodiment of the present invention can be implemented based on the dual-fan parallel operation control system based on dynamic flow balance provided in the above embodiments. The method mainly includes the following steps: Step 210: Collect air flow data at the inlet and outlet of the corresponding fan branch through a flow sensor, and send the air flow data to the control component.

[0079] Step 220: The air flow data is input into a pre-established three-dimensional dynamic fluid mechanics model through the control component to obtain a flow deviation value between the current air flow and the target air flow, the flow deviation value is input into a pre-built control decision model to obtain a control instruction, and the control instruction is sent to the guide component and / or the electric control valve to control the guide direction of the guide component and / or the opening of the electric control valve.

[0080] Regarding the method in the above embodiment, the specific implementation of each step has been described in detail in the embodiment of the relevant system and will not be elaborated again here.

[0081] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A dual-fan parallel operation control system based on dynamic flow balance, characterized in that: include: Flow guide components, electric regulating valves, flow sensors and control components; The flow guide assembly is installed at the center of the dual-fan parallel three-way pipe section, the electric regulating valve is installed on each fan branch, and the flow sensor is installed at the entrance and exit of each fan branch. The flow guide assembly, the electric regulating valve and the flow sensor are all connected to the control assembly; The flow sensor is used to collect air flow data at the inlet and outlet of the corresponding fan branch, and send the air flow data to the control component; The control component is used to input the air flow data into a pre-established three-dimensional dynamic fluid mechanics model to obtain a flow deviation value between the current air flow and the target air flow, input the flow deviation value into a pre-built control decision model to obtain a control instruction, and send the control instruction to the guide component and / or the electric control valve to control the guide direction of the guide component and / or the opening of the electric control valve.

2. The dual-fan parallel operation control system based on dynamic flow balance according to claim 1 is characterized in that: The guide assembly includes: a guide plate and a micro servo motor; The guide plate is installed at the central axis position of the dual-fan parallel three-way pipe section, the micro servo motor is connected to the central axis position of the guide plate through a coupling, the servo motor is connected to the control component, and the servo motor drives the guide plate to rotate to adjust the diversion direction.

3. The dual-fan parallel operation control system based on dynamic flow balance according to claim 1 is characterized in that: The control decision model includes: an adaptive regulator and a PID controller; The adaptive regulator is used to determine the deviation change rate based on the flow deviation value, and obtain the PID parameter adjustment amount through fuzzy reasoning according to the flow deviation value and the deviation change rate; The PID controller is used to adjust the current PID parameters according to the PID parameter adjustment amount, perform proportional-integral-differential operation on the flow deviation value to obtain the target control amount, and generate a control instruction based on the target control amount.

4. The dual-fan parallel operation control system based on dynamic flow balance according to claim 3 is characterized in that: According to the flow deviation value and the deviation change rate, the PID parameter adjustment amount is obtained through fuzzy reasoning, including: After normalizing the flow deviation value and the deviation change rate, the values ​​are mapped to a fuzzy domain of a set numerical interval and divided into multiple fuzzy subsets; Performing fuzzy reasoning on the plurality of fuzzy subsets according to a preset fuzzy rule base to generate fuzzy output quantities; A defuzzification operation is performed on the fuzzy output to obtain a PID parameter adjustment amount.

5. The dual-fan parallel operation control system based on dynamic flow balance according to claim 3 is characterized in that: The target control variable includes a target opening value, and the control instruction includes an opening control instruction; Generating a control instruction according to the target control variable includes: When the flow deviation value is higher than a first set threshold value, the control instruction is to adjust the opening of the electric regulating valve to a target opening value according to a first adjustment step; When the flow deviation value is lower than a second set threshold, the control instruction is to adjust the opening of the electric regulating valve to a target opening value according to a second adjustment step; When the flow deviation value is between the second set threshold value and the first set threshold value, the control instruction is to adjust the opening of the electric control valve to the target opening value according to the third adjustment step; The first adjustment step, the third adjustment step and the second adjustment step decrease in sequence.

6. The dual-fan parallel operation control system based on dynamic flow balance according to claim 1, characterized in that: The control component is also used to: The air flow data and the flow deviation value are input into a pre-built state assessment model to obtain a state assessment result.

7. The dual-fan parallel operation control system based on dynamic flow balance according to claim 6, characterized in that: The control component is also used to: When it is detected that the status assessment result is a hidden danger state, the pre-established flow deviation-maintenance strategy comparison table is retrieved, the target maintenance strategy corresponding to the flow deviation value in the flow deviation-maintenance strategy comparison table is extracted, and based on the target maintenance strategy, hidden danger warning information is generated and issued.

8. The dual-fan parallel operation control system based on dynamic flow balance according to claim 1, characterized in that: The system further comprises: a temperature sensor and a pressure sensor; The temperature sensor is used to collect ambient temperature data near the three-way pipe section of the dual-fan parallel connection, and the pressure sensor is used to collect atmospheric pressure data near the three-way pipe section of the dual-fan parallel connection; The control component is further configured to correct the air flow data according to the ambient temperature data and the atmospheric pressure data to obtain corrected air flow data.

9. The dual-fan parallel operation control system based on dynamic flow balance according to claim 8, characterized in that: The control component corrects the air flow data according to the ambient temperature data and the atmospheric pressure data to obtain corrected air flow data, including: Determining the temperature correction coefficient corresponding to the ambient temperature data based on a pre-established temperature-correction coefficient curve; Determining the pressure correction coefficient corresponding to the atmospheric pressure data based on a pre-established pressure-correction coefficient curve; Establishing a correction compensation model according to the pressure correction coefficient and the temperature correction coefficient; The air flow data is input into the correction compensation model to obtain corrected air flow data.

10. A dual-fan parallel operation control method based on dynamic flow balance, characterized in that: Based on the dual-fan parallel operation control system based on dynamic flow balance according to any one of claims 1 to 9, the method includes: Collecting air flow data at the inlet and outlet of the corresponding fan branch through a flow sensor, and sending the air flow data to the control component; The air flow data is input into a pre-established three-dimensional dynamic fluid mechanics model through the control component to obtain a flow deviation value between the current air flow and the target air flow, the flow deviation value is input into a pre-built control decision model to obtain a control instruction, and the control instruction is sent to the guide component and / or the electric control valve to control the guide direction of the guide component and / or the opening of the electric control valve.

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