Fan control method and device

Abstract

The invention relates to the technical field of draught fans, and discloses a draught fan control method and device.The method comprises the steps that application working condition parameters of a draught fan are matched according to collected thermal load parameters and fluid flow parameters of application equipment corresponding to the draught fan; generating a first fan rotating speed control parameter of the fan according to the application working condition parameter and a preset open-loop control curve parameter; collecting a first multi-dimensional operation state parameter of the fan; judging whether the fan meets a preset regulation and control condition or not according to the first multi-dimensional operation state parameter; when the judgment result is yes, dynamic regulation and control compensation logic of the fan is generated according to the first multi-dimensional operation state parameter and the first fan rotating speed control parameter, and the dynamic regulation and control compensation logic is used for adjusting the first fan rotating speed control parameter into a second fan rotating speed control parameter; the second multi-dimensional operation state parameter of the fan corresponding to the second fan rotating speed control parameter does not meet the preset regulation and control condition. Therefore, the accuracy and the flexibility of fan control can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of fans, and particularly to a fan control method and device. Background Art

[0002] With the rapid development of industrial automation technology, fans, as key power equipment, are widely used in fields such as electric power, metallurgy, chemical industry, and environmental protection.

[0003] Traditional fan control methods usually rely on closed-loop regulation by detecting the bus current or power of the fan. For example, the speed is regulated at a constant current or constant power. When the current or power drops, the speed is increased. However, it has been found in practice that if the speed is regulated at a constant current, there are more or less subtle differences in the internal resistance of the fans, and the actual speed deviation of different fans under the same current is relatively large. Moreover, over-reliance on current adjustment may cause the fan to be overloaded, triggering automatic shutdown of safety protection. At the same time, if the speed is adjusted at a constant power, when the system resistance increases, the fan cannot actively increase the speed to maintain the air volume, which may lead to incomplete combustion of the corresponding fuel and increase the risk of production safety accidents.

[0004] It can be seen that how to improve the accuracy and flexibility of fan control is particularly important. Summary of the Invention

[0005] The present invention provides a fan control method and device, which can improve the accuracy and flexibility of fan control.

[0006] To solve the above technical problems, a first aspect of the present invention discloses a fan control method, which includes:

[0007] Collect the heat load parameter and fluid flow parameter of the application equipment corresponding to the fan;

[0008] Match the application working condition parameter of the fan according to the heat load parameter and the fluid flow parameter;

[0009] Generate a first fan speed control parameter of the fan according to the application working condition parameter and the preset open-loop control curve parameter;

[0010] Collect the first multi-dimensional operation state parameter of the fan;

[0011] Judge whether the fan meets the preset regulation condition according to the first multi-dimensional operation state parameter;

[0012] When it is determined that the fan meets the preset regulation condition, a dynamic regulation compensation logic for the fan is generated according to the first multi-dimensional operating state parameter and the first fan speed control parameter. The dynamic regulation compensation logic is used to adjust the first fan speed control parameter to a second fan speed control parameter, and the second multi-dimensional operating state parameter of the fan corresponding to the second fan speed control parameter does not meet the preset regulation condition.

[0013] As an optional implementation manner, in the first aspect of the present invention, before generating the first fan speed control parameter of the fan according to the application condition parameter and the preset open-loop control curve parameter, the method further includes:

[0014] Collect the third multi-dimensional operating state parameters of the fan under different dimensional working conditions. The third multi-dimensional operating state parameters include at least two of a speed dimension parameter, a current dimension parameter, a wind pressure dimension parameter, a voltage dimension parameter, and a power dimension parameter. The working condition environment parameters under different dimensional working conditions are different, and the working condition environment parameters include at least one of an environmental temperature parameter, a flue duct resistance parameter, and a flue duct flow parameter;

[0015] Generate a heat load-fluid flow-speed mapping relationship curve parameter according to the third multi-dimensional operating state parameter and the working condition environment parameter. The heat load-fluid flow-speed mapping relationship curve parameter is the preset open-loop control curve parameter.

[0016] As an optional implementation manner, in the first aspect of the present invention, the collecting the heat load parameter of the application device corresponding to the fan includes:

[0017] Collect the heat transfer parameter and the air pressure parameter within a preset first range of the application device corresponding to the fan. The heat transfer parameter is used to represent the presence of physical quantities related to heat transfer within the preset first range of the application device corresponding to the fan. The heat transfer parameter includes at least one of a temperature parameter, a fluid exchange heat parameter, a fluid-solid exchange heat parameter, and a thermal radiation parameter;

[0018] Calculate the heat load parameter of the application device corresponding to the fan according to the heat transfer parameter and the air pressure parameter.

[0019] As an optional implementation manner, in the first aspect of the present invention, the collecting the fluid flow parameter of the application device corresponding to the fan includes:

[0020] Collect the target detection frequency parameter in the application device corresponding to the fan. The target detection frequency parameter is used to represent the situation of the alternating shedding vortex frequency generated when the fluid in the application device corresponding to the fan passes through the bluff body;

[0021] Calculate the fluid volume parameter in the application device according to the physical volume parameter of the application device and the target detection frequency parameter;

[0022] Calculate the fluid flow rate parameter according to the fluid volume parameter and the fluid density parameter in the application device.

[0023] As an optional implementation manner, in the first aspect of the present invention, the first multi-dimensional operating state parameter includes at least three-dimensional operating state parameters among power quality operating parameters, multi-point temperature distribution characteristic parameters, vibration characteristic parameters, and hydrodynamic parameters. The determining whether the fan meets the preset regulation condition according to the first multi-dimensional operating state parameter includes:

[0024] For each of the operating state parameters, determine whether the operating state parameter is within the corresponding preset operating state threshold parameter range. When it is determined that the operating state parameter is not within the corresponding preset operating state threshold parameter range, determine that the operating state parameter is a target dimension state parameter;

[0025] Calculate the dynamic performance parameter value of the fan according to all the target dimension state parameters and the preset priority values of all the target dimension state parameters. The preset priority value is determined according to the application scenario parameter and the associated component parameter corresponding to the target dimension state parameter;

[0026] Determine whether the dynamic performance parameter value is greater than or equal to the preset dynamic performance parameter threshold. When it is determined that the dynamic performance parameter value is greater than or equal to the preset dynamic performance parameter threshold, determine that the fan meets the preset regulation condition.

[0027] As an optional implementation manner, in the first aspect of the present invention, the generating the dynamic regulation compensation logic of the fan according to the first multi-dimensional operating state parameter and the first fan speed control parameter includes:

[0028] For each of the target dimension state parameters, extract the first target feature item and the second target feature item of the target dimension state parameter. The first target feature item is used to represent the characteristic situation that the target dimension state parameter is not within the corresponding preset operating state threshold parameter range, and the second target feature item is opposite to the first target feature item;

[0029] Analyze the abnormal feature factor corresponding to the first target feature item according to the second target feature item. The abnormal feature factor is used to represent the reason situation that the target dimension state parameter is not within the corresponding preset operating state threshold parameter range;

[0030] Extract the first rotational speed control sub-parameter mapped to the first target feature item and the second rotational speed control sub-parameter mapped to the second target feature item from the first fan rotational speed control parameters respectively;

[0031] Generate a basic compensation parameter for the target dimension state parameter according to the first target feature item and its mapped first rotational speed control sub-parameter and the second target feature item and its mapped second rotational speed control sub-parameter, and the basic compensation parameter corresponds to the abnormal feature factor;

[0032] Obtain the compensation operation state parameter of the target dimension state parameter, and the compensation operation state parameter is used to represent the parameter performance of the target dimension state parameter after the basic compensation parameter;

[0033] Generate a dynamic compensation parameter for the target dimension state parameter according to the compensation operation state parameter and the basic compensation parameter, and the dynamic compensation parameter is used to correct the basic compensation parameter;

[0034] Generate the dynamic regulation compensation logic of the fan according to the basic compensation parameters and their corresponding dynamic compensation parameters of all the target dimension state parameters, and the dynamic regulation compensation logic is comprehensively generated based on the basic compensation parameters and their corresponding dynamic compensation parameters of all the target dimension state parameters.

[0035] As an optional implementation manner, in the first aspect of the present invention, the method further includes:

[0036] Collect the compensation energy consumption change trajectory parameters of the dynamic regulation compensation logic;

[0037] Judge whether the compensation energy consumption change trajectory parameters are within the preset compensation energy consumption change trajectory parameter range. When it is judged that the compensation energy consumption change trajectory parameters are not within the preset compensation energy consumption change trajectory parameter range, then determine the target energy consumption change feature parameters in the compensation energy consumption change trajectory parameters according to the preset compensation energy consumption change trajectory parameter range, and the target energy consumption change feature parameters are used to represent the feature distribution of the compensation energy consumption change trajectory parameters that are not within the preset compensation energy consumption change trajectory parameter range;

[0038] Determine the corresponding dynamic regulation compensation item in the dynamic regulation compensation logic according to the target energy consumption change feature parameters;

[0039] Generate a comprehensive compensation control parameter for the dynamic control compensation logic of the dynamic control compensation item according to the dynamic control compensation item, the target energy consumption change characteristic parameter, and the compensation energy consumption change trajectory threshold corresponding to the preset compensation energy consumption change trajectory parameter range, so as to adjust the dynamic control compensation logic, so that the compensation energy consumption change trajectory parameter of the adjusted dynamic control compensation logic is within the preset compensation energy consumption change trajectory parameter range.

[0040] The second aspect of the present invention discloses a fan control device, which includes:

[0041] An acquisition module, configured to acquire the heat load parameter and the fluid flow parameter of the application equipment corresponding to the fan;

[0042] A matching module, configured to match the application working condition parameter of the fan according to the heat load parameter and the fluid flow parameter;

[0043] A generation module, configured to generate a first fan speed control parameter of the fan according to the application working condition parameter and the preset open-loop control curve parameter;

[0044] The acquisition module is further configured to acquire the first multi-dimensional operation state parameter of the fan;

[0045] A judgment module, configured to judge whether the fan meets a preset regulation condition according to the first multi-dimensional operation state parameter;

[0046] The generation module is further configured to, when the judgment module judges that the fan meets the preset regulation condition, generate a dynamic control compensation logic of the fan according to the first multi-dimensional operation state parameter and the first fan speed control parameter, and the dynamic control compensation logic is used to adjust the first fan speed control parameter to a second fan speed control parameter, and the second multi-dimensional operation state parameter of the fan corresponding to the second fan speed control parameter does not meet the preset regulation condition.

[0047] As an optional implementation manner, in the second aspect of the present invention, the acquisition module is further configured to acquire a third multi-dimensional operation state parameter of the fan under different dimensional working conditions before the generation module generates the first fan speed control parameter of the fan according to the application working condition parameter and the preset open-loop control curve parameter, and the third multi-dimensional operation state parameter includes at least two of a speed dimension parameter, a current dimension parameter, a wind pressure dimension parameter, a voltage dimension parameter, and a power dimension parameter, and the working condition environment parameters under different dimensional working conditions are different, and the working condition environment parameters include at least one of an environment temperature parameter, a flue resistance parameter, and a flue flow parameter;

[0048] The generating module is further configured to generate heat load - fluid flow rate - rotation speed mapping relationship curve parameters according to the third multi - dimensional operating state parameters and the working condition environment parameters, and the heat load - fluid flow rate - rotation speed mapping relationship curve parameters are the preset open - loop control curve parameters.

[0049] As an optional implementation manner, in the second aspect of the present invention, the specific manner in which the acquisition module acquires the heat load parameters of the application device corresponding to the fan includes:

[0050] Acquire the heat transfer parameters and air pressure parameters within a preset first range of the application device corresponding to the fan. The heat transfer parameters are used to represent the presence of physical quantities related to heat transfer within the preset first range of the application device corresponding to the fan, and the heat transfer parameters include at least one of temperature parameters, fluid - to - fluid heat exchange parameters, fluid - to - solid heat exchange parameters, and heat radiation parameters;

[0051] Calculate the heat load parameters of the application device corresponding to the fan according to the heat transfer parameters and the air pressure parameters.

[0052] As an optional implementation manner, in the second aspect of the present invention, the specific manner in which the acquisition module acquires the fluid flow rate parameters of the application device corresponding to the fan includes:

[0053] Acquire the target detection frequency parameters in the application device corresponding to the fan, and the target detection frequency parameters are used to represent the situation of the alternating shedding vortex frequency generated when the fluid in the application device corresponding to the fan passes through the bluff body;

[0054] Calculate the fluid volume parameters in the application device according to the physical volume parameters of the application device and the target detection frequency parameters;

[0055] Calculate the fluid flow rate parameters according to the fluid volume parameters and the fluid density parameters in the application device.

[0056] As an optional implementation manner, in the second aspect of the present invention, the first multi - dimensional operating state parameters include at least three - dimensional operating state parameters among power quality operating parameters, multi - point temperature distribution characteristic parameters, vibration characteristic parameters, and fluid dynamic parameters. The specific manner in which the judgment module judges whether the fan meets the preset regulation conditions according to the first multi - dimensional operating state parameters includes:

[0057] For each of the operating state parameters, judge whether the operating state parameter is within the corresponding preset operating state threshold parameter range. When it is judged that the operating state parameter is not within the corresponding preset operating state threshold parameter range, then determine that the operating state parameter is the target dimension state parameter;

[0058] Calculate the dynamic performance parameter value of the fan according to all the target dimension state parameters and the preset priority values of all the target dimension state parameters, where the preset priority values are determined according to the application scenario parameters and associated component parameters corresponding to the target dimension state parameters;

[0059] Judge whether the dynamic performance parameter value is greater than or equal to a preset dynamic performance parameter threshold. When it is judged that the dynamic performance parameter value is greater than or equal to the preset dynamic performance parameter threshold, it is determined that the fan meets the preset regulation condition.

[0060] As an alternative implementation manner, in the second aspect of the present invention, the specific manner in which the generation module generates the dynamic regulation compensation logic of the fan according to the first multi-dimensional operation state parameter and the first fan speed control parameter includes:

[0061] For each of the target dimension state parameters, extract the first target feature item and the second target feature item of the target dimension state parameter. The first target feature item is used to represent the feature situation where the target dimension state parameter is not within the corresponding preset operation state threshold parameter range, and the second target feature item is opposite to the first target feature item;

[0062] According to the second target feature item, analyze the abnormal feature factor corresponding to the first target feature item, where the abnormal feature factor is used to represent the reason situation where the target dimension state parameter is not within the corresponding preset operation state threshold parameter range;

[0063] Respectively extract the first speed control sub-parameter in the first fan speed control parameter that maps to the first target feature item and the second speed control sub-parameter that maps to the second target feature item;

[0064] According to the first target feature item, its corresponding first speed control sub-parameter, the second target feature item, and its corresponding second speed control sub-parameter, generate the basic compensation parameter of the target dimension state parameter, where the basic compensation parameter corresponds to the abnormal feature factor;

[0065] Obtain the compensated operation state parameter of the target dimension state parameter, where the compensated operation state parameter is used to represent the parameter performance situation of the target dimension state parameter after the basic compensation parameter;

[0066] According to the compensated operation state parameter and the basic compensation parameter, generate the dynamic compensation parameter of the target dimension state parameter, where the dynamic compensation parameter is used to correct the basic compensation parameter;

[0067] Generate the dynamic regulation compensation logic of the fan according to the basic compensation parameters of all the target dimension state parameters and their corresponding dynamic compensation parameters. The dynamic regulation compensation logic is comprehensively generated based on the basic compensation parameters of all the target dimension state parameters and their corresponding dynamic compensation parameters.

[0068] As an optional implementation manner, in the second aspect of the present invention, the acquisition module is further configured to acquire the compensation energy consumption change trajectory parameters of the dynamic regulation compensation logic;

[0069] The judgment module is further configured to judge whether the compensation energy consumption change trajectory parameters are within a preset compensation energy consumption change trajectory parameter range;

[0070] Moreover, the method further includes:

[0071] A determination module, configured to, when the judgment module determines that the compensation energy consumption change trajectory parameters are not within the preset compensation energy consumption change trajectory parameter range, determine target energy consumption change characteristic parameters in the compensation energy consumption change trajectory parameters according to the preset compensation energy consumption change trajectory parameter range. The target energy consumption change characteristic parameters are used to represent the characteristic distribution of the compensation energy consumption change trajectory parameters that are not within the preset compensation energy consumption change trajectory parameter range;

[0072] The determination module is further configured to determine the dynamically regulated compensation items mapped in the dynamic regulation compensation logic according to the target energy consumption change characteristic parameters;

[0073] The generation module is further configured to generate comprehensive compensation regulation parameters for the dynamic regulation compensation logic of the dynamic regulation compensation items according to the dynamic regulation compensation items, the target energy consumption change characteristic parameters, and the compensation energy consumption change trajectory thresholds corresponding to them within the preset compensation energy consumption change trajectory parameter range, so as to regulate the dynamic regulation compensation logic, so that the compensation energy consumption change trajectory parameters of the regulated dynamic regulation compensation logic are within the preset compensation energy consumption change trajectory parameter range.

[0074] The third aspect of the present invention discloses another fan control device, and the device includes:

[0075] A memory storing executable program code;

[0076] A processor coupled to the memory;

[0077] The processor calls the executable program code stored in the memory and executes the fan control method disclosed in the first aspect of the present invention.

[0078] A fourth aspect of the present invention discloses a computer storage medium storing computer instructions, which are used to execute the fan control method disclosed in the first aspect of the present invention when called.

[0079] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0080] In the embodiments of the present invention, the heat load parameters and fluid flow parameters of the application device corresponding to the fan are collected; according to the heat load parameters and fluid flow parameters, the application working condition parameters of the fan are matched; according to the application working condition parameters and the preset open-loop control curve parameters, the first fan speed control parameter of the fan is generated; the first multi-dimensional operating state parameters of the fan are collected; according to the first multi-dimensional operating state parameters, it is judged whether the fan meets the preset regulation conditions; when it is judged that the fan meets the preset regulation conditions, a dynamic regulation compensation logic for the fan is generated according to the first multi-dimensional operating state parameters and the first fan speed control parameter, and the dynamic regulation compensation logic is used to adjust the first fan speed control parameter to the second fan speed control parameter, and the second multi-dimensional operating state parameters of the fan corresponding to the second fan speed control parameter do not meet the preset regulation conditions. It can be seen that implementing the present invention can match the application working condition parameters of the fan according to the collected heat load parameters and fluid flow parameters of the application device corresponding to the fan, so as to accurately reflect the actual operation requirements of the application device, improve the demand detection accuracy of fan control, and generate the first fan speed control parameter of the fan based on the application working condition parameters and the preset open-loop control curve parameters, which can quickly establish a basic control framework, improve the efficiency and timeliness of fan control while ensuring the accuracy of fan control, and shorten the response time. Based on the collected first multi-dimensional operating state parameters of the fan, a comprehensive judgment of the preset regulation conditions is carried out, which can further improve the accuracy and comprehensiveness of fan control, identify hidden associated faults ignored by traditional methods, and when it is judged that the fan meets the preset regulation conditions, a dynamic regulation compensation logic for the fan is generated according to the first multi-dimensional operating state parameters and the first fan speed control parameter, thereby realizing the dynamic adjustment of the fan speed control parameter, solving abnormal states in multiple dimensions at the same time, avoiding compensation conflicts in traditional single-loop control systems, improving the flexibility of fan control while improving the accuracy, comprehensiveness, efficiency and timeliness of fan control, better adapting to different fan application scenarios and promptly solving various emergencies occurring in the corresponding scenarios, which is beneficial to improving the safety and stability of fan use. Description of the Drawings

[0081] To more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0082] Figure 1 is a schematic flowchart of a fan control method disclosed in an embodiment of the present invention;

[0083] Figure 2 is a schematic flowchart of another fan control method disclosed in an embodiment of the present invention;

[0084] Figure 3 is a schematic structural diagram of a fan control device disclosed in an embodiment of the present invention;

[0085] Figure 4 is a schematic structural diagram of another fan control device disclosed in an embodiment of the present invention;

[0086] Figure 5 is a schematic structural diagram of yet another fan control device disclosed in an embodiment of the present invention. Detailed implementation manners

[0087] In order to enable those skilled in the art of the present technology to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0088] The terms "first", "second", etc. in the specification, claims and drawings of the present invention are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, device, product or terminal that includes a series of steps or units is not limited to the listed steps or units, but optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products or terminals.

[0089] Reference to "embodiment" in this text means that the specific features, structures, or characteristics described in connection with the embodiment may be included in at least one embodiment of the present invention. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment each time, nor are they independent or alternative embodiments mutually exclusive of other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0090] The present invention discloses a fan control method and device, which can match the application working condition parameters of the fan according to the collected heat load parameters and fluid flow parameters of the application device corresponding to the fan, so as to accurately reflect the actual operation requirements of the application device, improve the demand detection accuracy of fan control. Based on the application working condition parameters and the preset open-loop control curve parameters, the first fan speed control parameter of the fan is generated, which can quickly establish a basic control framework, improve the efficiency and timeliness of fan control while ensuring the accuracy of fan control, and shorten the response time. Based on the collected first multi-dimensional operation state parameters of the fan, a comprehensive judgment of the preset regulation conditions is carried out, which can further improve the accuracy and comprehensiveness of fan control, identify hidden associated faults ignored by traditional methods, and when it is determined that the fan meets the preset regulation conditions, according to the first multi-dimensional operation state parameters and the first fan speed control parameter, a dynamic regulation compensation logic of the fan is generated, and then the dynamic adjustment of the fan speed control parameter is realized, while solving abnormal states in multiple dimensions, avoiding compensation conflicts in traditional single-loop control systems, improving the flexibility of fan control while improving the accuracy, comprehensiveness, efficiency and timeliness of fan control, better adapting to different fan application scenarios and promptly solving various emergencies occurring in the corresponding scenarios, which is beneficial to improving the safety and stability of fan use. The following will be described in detail respectively.

[0091] Embodiment 1

[0092] Please refer to Figure 1 , Figure 1 which is a schematic flow chart of a fan control method disclosed in an embodiment of the present invention. Among them, Figure 1 the described fan control method can be applied to fans, and correspondingly, it is also applicable to fan usage scenarios, such as gas water heaters, industrial exhaust systems, air purification devices, etc., and can also be applied to intelligent devices associated with fans. The intelligent devices include, but are not limited to, one or more of battery devices, cloud devices, edge computing devices, relay devices, base station devices, urban management devices, and intelligent networked devices. The embodiments of the present invention do not make limitations. As Figure 1 shown, the fan control method may include the following operations:

[0093] 101. Collect the heat load parameters and fluid flow parameters of the application device corresponding to the fan;

[0094] In the embodiments of the present invention, optionally, for the heat load parameter, in addition to the subsequent defined steps, its acquisition method can also be specifically implemented through the following operations:

[0095] Temperature acquisition: Uniformly arrange temperature sensors in the heat exchange area of the device to measure the surface temperature values at each point.

[0096] Heat transfer calculation:

[0097] Conducted heat: Heat of each region = Thermal conductivity of the material × Temperature difference in this region (temperature difference between the surface temperature and the ambient temperature) × Contact area;

[0098] Radiated heat: Emissivity of the material × Stefan constant × Fourth power of the surface absolute temperature;

[0099] Total heat load = Sum of the conducted heat of all regions + Radiated heat;

[0100] Further optionally, for the fluid flow rate parameter, in addition to the subsequent defined steps, its acquisition method can also be specifically implemented through the following operations:

[0101] Vortex street frequency detection: Periodic vortices are generated by the fluid behind the bluff body, and the sensor detects the vortex shedding frequency;

[0102] Flow velocity calculation: Flow velocity = (Vortex frequency × Characteristic size of the bluff body) / Strouhal number (empirical constant, calibrated);

[0103] Flow rate calculation: Volume flow rate = Flow velocity × Cross-sectional area of the pipeline;

[0104] 102. According to the heat load parameter and the fluid flow rate parameter, match the application working condition parameters of the fan;

[0105] In the embodiments of the present invention, optionally, input the current heat load and flow rate into the pre-stored typical working condition database, and match the closest combination of working condition parameters through a distance algorithm (such as the nearest neighbor), so as to match the application working condition parameters of the fan;

[0106] 103. Generate the first fan speed control parameter of the fan according to the application working condition parameters and the preset open-loop control curve parameters;

[0107] In the embodiments of the present invention, as an optional implementation manner, before generating the first fan speed control parameter of the fan according to the application working condition parameters and the preset open-loop control curve parameters, the method further includes:

[0108] Collect the third multi-dimensional operating state parameters of the fan under different dimensional working conditions. The third multi-dimensional operating state parameters include at least two of the rotational speed dimensional parameter, current dimensional parameter, air pressure dimensional parameter, voltage dimensional parameter, and power dimensional parameter. The working condition environment parameters are different under different dimensional working conditions, and the working condition environment parameters include at least one of the environmental temperature parameter, flue gas resistance parameter, and flue gas flow parameter;

[0109] Generate the heat load-fluid flow-rotational speed mapping relationship curve parameters according to the third multi-dimensional operating state parameters and the working condition environment parameters. The heat load-fluid flow-rotational speed mapping relationship curve parameters are preset open-loop control curve parameters.

[0110] In the embodiment of the present invention, optionally, specifically, the multi-dimensional data collection can be carried out through environmental simulation. In an experimental chamber with controllable temperature and pressure, the fan operation data under different environmental temperatures and flue gas resistances are tested; for curve generation, a three-dimensional surface can be constructed through experimental data, with the heat load and flow as the input axes and the rotational speed as the output axis, and a high-precision surface fitting algorithm (such as NURBS) is used to generate the mapping relationship;

[0111] It can be seen that implementing this optional embodiment can, before generating the first fan rotational speed control parameter of the fan according to the application working condition parameters and the preset open-loop control curve parameters, collect the third multi-dimensional operating state parameters including at least two of the rotational speed dimensional parameter, current dimensional parameter, air pressure dimensional parameter, voltage dimensional parameter, and power dimensional parameter of the fan under different dimensional working conditions, and combine the working condition environment parameters including at least one of the environmental temperature parameter, flue gas resistance parameter, and flue gas flow parameter to generate the heat load-fluid flow-rotational speed mapping relationship curve parameters. The heat load-fluid flow-rotational speed mapping relationship curve parameters are preset open-loop control curve parameters. On the one hand, it can cover the typical operating scenarios within the entire life cycle of the equipment, visualize the complex non-linear relationship through the establishment of a three-dimensional mapping curve, and compared with the traditional two-dimensional look-up table method, it can improve the generation accuracy and timeliness of the first fan rotational speed control parameter. At the same time, as the basis of the open-loop control, the mapping curve can reduce the computational amount of real-time calculation and reduce the resource occupancy rate of the control system.

[0112] In the embodiment of the present invention, as another optional implementation manner, the above-mentioned collection of the heat load parameter of the application device corresponding to the fan includes:

[0113] Collect the heat transfer parameter and air pressure parameter within a preset first range of the application device corresponding to the fan. The heat transfer parameter is used to represent the existence of physical quantities related to heat transfer within the preset first range of the application device corresponding to the fan. The heat transfer parameter includes at least one of the temperature parameter, fluid exchange heat parameter, fluid-solid exchange heat parameter, and heat radiation parameter;

[0114] Calculate the heat load parameters of the fan corresponding to the application device according to the heat transfer parameters and air pressure parameters.

[0115] It can be seen that implementing this alternative embodiment can comprehensively calculate the heat load parameters of the fan corresponding to the application device by collecting at least one of the heat transfer parameters including temperature parameters, fluid exchange heat parameters, fluid-solid exchange heat parameters, and thermal radiation parameters within a preset first range of the fan corresponding to the application device and the air pressure parameters. By multi-point temperature monitoring, local overheating / cooling areas of the device can be identified, avoiding the "blind spot effect" of traditional single-point temperature measurement. By introducing thermal radiation parameters, the error of the calculation result in high-temperature scenarios (>300°C) can be reduced. By compensating and correcting the air pressure parameters, the interference of altitude changes on heat load calculation can be eliminated (such as in applications in plateau areas). In the application of gas boilers, the combustion efficiency can be improved, and the fault diagnosis ability can be enhanced: early warning of heat exchange tube blockage faults can be given 24 hours in advance through abnormal heat transfer, and at the same time, the application range can be expanded: supporting heat load calculation from atmospheric pressure to 0.5 MPa pressure vessels.

[0116] In an embodiment of the present invention, as another alternative implementation manner, collecting the fluid flow parameters of the fan corresponding to the application device includes:

[0117] Collect the target detection frequency parameter in the fan corresponding to the application device, and the target detection frequency parameter is used to represent the situation of the alternating shedding vortex frequency generated when the fluid in the fan corresponding to the application device passes through the bluff body;

[0118] Calculate the fluid volume parameter in the application device according to the physical volume parameter of the application device and the target detection frequency parameter;

[0119] Calculate the fluid flow parameter according to the fluid volume parameter and the fluid density parameter in the application device.

[0120] It can be seen that implementing this alternative embodiment is insensitive to fluid components through vortex street frequency detection. Compared with traditional differential pressure flowmeters, the measurement error in particulate-containing media can be reduced. By introducing physical volume parameters, the influence of changes in the flow area caused by pipeline deformation, fouling, etc. can be automatically compensated. Through real-time correction of density parameters, the accuracy of fluid flow measurement within a certain range during temperature and pressure fluctuations is beneficial to improving the measurement reliability of fluid flow parameters: stable readings can still be maintained in a flue gas environment with a dust concentration > 200 mg / m 3 . At the same time, the maintenance frequency is reduced: the design without moving parts prolongs the calibration period of the flowmeter, and the compatibility is enhanced: supporting the measurement of various media such as liquids, gases, and gas-liquid two-phase flows.

[0121] 104. Collect the first multi-dimensional operating state parameters of the fan;

[0122] 105. Determine whether the fan meets the preset regulation conditions according to the first multi-dimensional operating state parameters;

[0123] In an embodiment of the present invention, as an optional implementation manner, the above-mentioned first multi-dimensional operating state parameters include operating state parameters of at least three dimensions among power quality operating parameters, multi-point temperature distribution characteristic parameters, vibration characteristic parameters, and hydrodynamic parameters. Determining whether the fan meets the preset regulation conditions according to the first multi-dimensional operating state parameters includes:

[0124] For each operating state parameter, determine whether the operating state parameter is within the corresponding preset operating state threshold parameter range. When it is determined that the operating state parameter is not within the corresponding preset operating state threshold parameter range, determine that the operating state parameter is a target dimension state parameter;

[0125] Calculate the dynamic performance parameter value of the fan according to all target dimension state parameters and the preset priority weights of all target dimension state parameters. The preset priority weight is determined according to the application scenario parameters and associated component parameters corresponding to the target dimension state parameters;

[0126] Determine whether the dynamic performance parameter value is greater than or equal to the preset dynamic performance parameter threshold. When it is determined that the dynamic performance parameter value is greater than or equal to the preset dynamic performance parameter threshold, determine that the fan meets the preset regulation conditions.

[0127] In an embodiment of the present invention, optionally, the above-mentioned first multi-dimensional operating state parameters may specifically include: current waveform distortion rate, voltage fluctuation parameter, bearing vibration intensity (RMS value) and frequency spectrum characteristic parameters, multi-point temperature distribution gradient in the flue, etc.;

[0128] Further, optionally, for the calculation of the dynamic performance parameter value:

[0129] Weight distribution: Power quality (40%), mechanical vibration (30%), thermal distribution (30%).

[0130] Scoring rule: The proportion of the actual value of each parameter exceeding the threshold is multiplied by its weight. If the total score ≥ 70% after summation, the regulation is triggered.

[0131] It can be seen that implementing this optional embodiment can achieve joint judgment of multi-dimensional parameters to identify compound faults (such as abnormal vibration + temperature indicating bearing lubrication failure), reduce the false alarm rate of fan control, improve the fault identification priority of key subsystems (motor drive units) through the weighted calculation model of dynamic performance parameters, and the scenario adaptation mechanism of priority values (such as explosion prevention is emphasized in chemical plants and energy efficiency is emphasized in power plants), improve the industry applicability of control strategies, and can improve the fault identification rate: the detection rate of early compound faults is also improved, optimize resource allocation: prioritize the handling of high-risk abnormalities, reduce maintenance costs, and enhance scenario adaptability: adapt to various industry-specific requirements through weight adjustment.

[0132] 106. When it is determined that the fan meets the preset regulation conditions, a dynamic regulation compensation logic for the fan is generated according to the first multi-dimensional operating state parameter and the first fan speed control parameter. The dynamic regulation compensation logic is used to adjust the first fan speed control parameter to a second fan speed control parameter, and the second multi-dimensional operating state parameter of the fan corresponding to the second fan speed control parameter does not meet the preset regulation conditions.

[0133] In an embodiment of the present invention, as another optional implementation manner, generating the dynamic regulation compensation logic for the fan according to the first multi-dimensional operating state parameter and the first fan speed control parameter includes:

[0134] For each target dimension state parameter, extract the first target feature item and the second target feature item of the target dimension state parameter. The first target feature item is used to represent the feature situation where the target dimension state parameter is not within the corresponding preset operating state threshold parameter range, and the second target feature item is opposite to the first target feature item;

[0135] According to the second target feature item, analyze the abnormal feature factor corresponding to the first target feature item. The abnormal feature factor is used to represent the reason situation where the target dimension state parameter is not within the corresponding preset operating state threshold parameter range;

[0136] Respectively extract the first speed control sub-parameter in the first fan speed control parameter that is mapped to the first target feature item and the second speed control sub-parameter that is mapped to the second target feature item;

[0137] According to the first target feature item and its mapped first speed control sub-parameter and the second target feature item and its mapped second speed control sub-parameter, generate the basic compensation parameter of the target dimension state parameter. The basic compensation parameter corresponds to the abnormal feature factor;

[0138] Obtain the compensated operating state parameter of the target dimension state parameter. The compensated operating state parameter is used to represent the parameter performance situation of the target dimension state parameter after the basic compensation parameter;

[0139] Generate dynamic compensation parameters for the target dimension status parameters according to the compensation operation status parameters and the basic compensation parameters, where the dynamic compensation parameters are used to correct the basic compensation parameters;

[0140] Generate the dynamic regulation compensation logic of the fan according to the basic compensation parameters of all target dimension status parameters and their corresponding dynamic compensation parameters. The dynamic regulation compensation logic is comprehensively generated based on the basic compensation parameters of all target dimension status parameters and their corresponding dynamic compensation parameters.

[0141] In an embodiment of the present invention, optionally, compensation logic generation:

[0142] Feature extraction: For current distortion, extract the amplitudes and phases of the main harmonic components (such as the 5th and 7th harmonics); for abnormal vibration, decompose the high-frequency fault feature frequency bands in the spectrum;

[0143] Compensation fusion: Basic compensation: Reverse adjust the speed according to the main abnormality; Dynamic correction: Predict the compensation effect within the next 3 control cycles and roll-optimize the compensation amount;

[0144] It can be seen that implementing this optional embodiment can identify the first target feature item (abnormal feature) and the second target feature item (normal benchmark), and achieve comparative analysis, accurately locate the root cause of the fault (such as the 5th harmonic exceeding the standard corresponding to grid-side interference), provide a fast response (<100 ms) through basic compensation, and achieve long-term optimization (10 - 30 second cycle) through dynamic compensation, forming a control closed-loop with a dual time scale. By establishing the mapping relationship of the compensation parameters, the non-linear relationship between the speed adjustment amount and the fault severity can be accurately expressed, improving the compensation accuracy: under variable load conditions, reducing the control deviation and avoiding over-compensation; reducing the overshoot of the system by the dynamic attenuation mechanism and enhancing the anti-interference ability: maintaining the speed stability even when the grid voltage drops suddenly.

[0145] It can be seen that implementing the embodiments of the present invention can match the application working condition parameters of the fan according to the collected heat load parameters and fluid flow parameters of the application device corresponding to the fan, so as to accurately reflect the actual operation requirements of the application device, improve the accuracy of demand detection for fan control. Based on the application working condition parameters and the preset open-loop control curve parameters, the first fan speed control parameter of the fan is generated, which can quickly establish a basic control framework, improve the efficiency and timeliness of fan control while ensuring the accuracy of fan control, and shorten the response time. Based on the collected first multi-dimensional operation state parameters of the fan, a comprehensive judgment of the preset regulation conditions is carried out, which can further improve the accuracy and comprehensiveness of fan control, identify hidden associated faults ignored by traditional methods, and when it is determined that the fan meets the preset regulation conditions, a dynamic regulation compensation logic for the fan is generated according to the first multi-dimensional operation state parameters and the first fan speed control parameter, thereby realizing the dynamic adjustment of the fan speed control parameter, solving abnormal states in multiple dimensions at the same time, avoiding compensation conflicts in traditional single-loop control systems, improving the flexibility of fan control while improving the accuracy, comprehensiveness, efficiency and timeliness of fan control, better adapting to different fan application scenarios and promptly solving various emergencies occurring in the corresponding scenarios, which is beneficial to improving the safety and stability of fan use.

[0146] Embodiment 2

[0147] Please refer to Figure 2 , Figure 2 which is a schematic flowchart of another fan control method disclosed in the embodiments of the present invention. Among them, Figure 2 the described fan control method can be applied to fans, and correspondingly, it is also applicable to fan usage scenarios, such as gas water heaters, industrial exhaust systems, air purification equipment, etc., and can also be applied to intelligent devices associated with fans. The intelligent devices include, but are not limited to, one or more of battery devices, cloud devices, edge computing devices, relay devices, base station devices, urban management devices, and intelligent networked devices. The embodiments of the present invention do not make limitations. As Figure 2 shown, the fan control method may include the following operations:

[0148] 201. Collect the heat load parameters and fluid flow parameters of the application device corresponding to the fan;

[0149] 202. Match the application working condition parameters of the fan according to the heat load parameters and fluid flow parameters;

[0150] 203. Generate the first fan speed control parameter of the fan according to the application working condition parameters and the preset open-loop control curve parameters;

[0151] 204. Collect the first multi-dimensional operation state parameters of the fan;

[0152] 205. Determine whether the fan meets the preset regulation conditions according to the first multi-dimensional operating state parameter;

[0153] 206. When it is determined that the fan meets the preset regulation conditions, generate a dynamic regulation compensation logic for the fan according to the first multi-dimensional operating state parameter and the first fan speed control parameter. The dynamic regulation compensation logic is used to adjust the first fan speed control parameter to the second fan speed control parameter, and the second multi-dimensional operating state parameter of the fan corresponding to the second fan speed control parameter does not meet the preset regulation conditions;

[0154] In the embodiments of the present invention, for the supplementary description of steps 201 - 206, please refer to the supplementary description of steps 101 - 106 in Embodiment 1, and the embodiments of the present invention will not elaborate herein.

[0155] 207. Collect the compensation energy consumption change trajectory parameters of the dynamic regulation compensation logic;

[0156] 208. Determine whether the compensation energy consumption change trajectory parameters are within the preset compensation energy consumption change trajectory parameter range;

[0157] 209. When it is determined that the compensation energy consumption change trajectory parameters are not within the preset compensation energy consumption change trajectory parameter range, determine the target energy consumption change characteristic parameters in the compensation energy consumption change trajectory parameters according to the preset compensation energy consumption change trajectory parameter range. The target energy consumption change characteristic parameters are used to represent the characteristic distribution of the compensation energy consumption change trajectory parameters that are not within the preset compensation energy consumption change trajectory parameter range;

[0158] 210. Determine the dynamically regulated compensation item corresponding to the dynamically regulated compensation logic according to the target energy consumption change characteristic parameters;

[0159] 211. Generate a comprehensive compensation regulation parameter for the dynamic regulation compensation logic of the dynamic regulation compensation item according to the dynamic regulation compensation item, the target energy consumption change characteristic parameters, and the compensation energy consumption change trajectory threshold corresponding to them within the preset compensation energy consumption change trajectory parameter range, so as to regulate the dynamic regulation compensation logic, so that the compensation energy consumption change trajectory parameters of the regulated dynamic regulation compensation logic are within the preset compensation energy consumption change trajectory parameter range.

[0160] In the embodiments of the present invention, optionally, for energy consumption optimization:

[0161] Energy consumption assessment: Compare the power consumption rates before and after compensation. If the energy-saving effect is insufficient, readjust the compensation parameters;

[0162] Adaptive adjustment: Use an evolutionary algorithm (such as a genetic algorithm) to iteratively optimize the compensation strategy with the lowest energy consumption as the goal;

[0163] It can be seen that implementing this optional embodiment can identify inefficient compensation modes through energy consumption trajectory analysis (such as the increase in motor copper loss caused by high-frequency speed adjustment). Through the mapping relationship between characteristic parameters and compensation items, energy consumption optimization can be precise to specific control links (such as reducing the vibration compensation frequency to reduce power consumption). Through the adaptive generation of comprehensive compensation control parameters, the Pareto optimal balance between energy efficiency and control can be achieved, and the operating cost can be reduced. For example, in the application of cement plants, the comprehensive power consumption can be reduced, and the equipment life can be extended. By reducing ineffective actions, the number of motor starts and stops can be reduced, supporting green operation. The carbon emissions are reduced to meet the national first-level energy efficiency standard, and the intelligent level is improved. The self-learning algorithm enables the energy efficiency of the system to increase every 1000 hours of operation.

[0164] Embodiment 3

[0165] Please refer to Figure 3 , Figure 3 which is a schematic structural diagram of a fan control device disclosed in an embodiment of the present invention. Among them, this fan control device can be applied to a fan, and correspondingly, it is also applicable to fan usage scenarios, such as gas water heaters, industrial exhaust systems, air purification equipment, etc. It can also be applied to intelligent devices associated with the fan. The intelligent devices include, but are not limited to, one or more of battery devices, cloud devices, edge computing devices, relay devices, base station devices, urban management devices, and intelligent networked devices. The embodiments of the present invention do not make limitations. As Figure 3 shown, this fan control device may include:

[0166] An acquisition module 301, configured to acquire the heat load parameter and fluid flow parameter of the application device corresponding to the fan;

[0167] A matching module 302, configured to match the application working condition parameter of the fan according to the heat load parameter and the fluid flow parameter;

[0168] A generation module 303, configured to generate the first fan speed control parameter of the fan according to the application working condition parameter and the preset open-loop control curve parameter;

[0169] The acquisition module 301 is further configured to acquire the first multi-dimensional operation state parameter of the fan;

[0170] A judgment module 304, configured to judge whether the fan meets the preset regulation condition according to the first multi-dimensional operation state parameter;

[0171] The generating module 303 is further configured to, when the judging module 304 determines that the fan meets the preset regulation condition, generate a dynamic regulation compensation logic for the fan according to the first multi-dimensional operating state parameter and the first fan speed control parameter, where the dynamic regulation compensation logic is used to adjust the first fan speed control parameter to a second fan speed control parameter, and the second multi-dimensional operating state parameter of the fan corresponding to the second fan speed control parameter does not meet the preset regulation condition.

[0172] It can be seen that implementing the embodiments of the present invention can match the application working condition parameters of the fan according to the collected heat load parameters and fluid flow parameters of the application device corresponding to the fan, so as to accurately reflect the actual operation requirements of the application device, improve the accuracy of demand detection for fan control. Based on the application working condition parameters and the preset open-loop control curve parameters, the first fan speed control parameter of the fan is generated, which can quickly establish a basic control framework, improve the efficiency and timeliness of fan control while ensuring the accuracy of fan control, and shorten the response time. Based on the collected first multi-dimensional operating state parameters of the fan, a comprehensive judgment of the preset regulation condition is carried out, which can further improve the accuracy and comprehensiveness of fan control, identify hidden associated faults ignored by traditional methods, and when it is determined that the fan meets the preset regulation condition, generate a dynamic regulation compensation logic for the fan according to the first multi-dimensional operating state parameter and the first fan speed control parameter, thereby realizing the dynamic adjustment of the fan speed control parameter, solving abnormal states in multiple dimensions at the same time, avoiding compensation conflicts in traditional single-loop control systems, improving the flexibility of fan control while improving the accuracy, comprehensiveness, efficiency and timeliness of fan control, better adapting to different fan application scenarios and promptly solving various emergencies occurring in the corresponding scenarios, which is beneficial to improving the safety and stability of fan use.

[0173] In an optional implementation manner of the embodiments of the present invention, the above-mentioned acquisition module 301 is further configured to collect third multi-dimensional operating state parameters of the fan under different dimensional working conditions before the generating module 303 generates the first fan speed control parameter of the fan according to the application working condition parameters and the preset open-loop control curve parameters. The third multi-dimensional operating state parameters include at least two of a speed dimension parameter, a current dimension parameter, a wind pressure dimension parameter, a voltage dimension parameter, and a power dimension parameter. The working condition environment parameters under different dimensional working conditions are different, and the working condition environment parameters include at least one of an environmental temperature parameter, a flue gas resistance parameter, and a flue gas flow parameter.

[0174] The generating module 303 is further configured to generate heat load-fluid flow-speed mapping relationship curve parameters according to the third multi-dimensional operating state parameters and the working condition environment parameters, and the heat load-fluid flow-speed mapping relationship curve parameters are preset open-loop control curve parameters.

[0175] It can be seen that implementing this optional embodiment can, before generating the first fan speed control parameter of the fan according to the application working condition parameters and the preset open-loop control curve parameters, collect at least two of the third multi-dimensional operating state parameters including the rotational speed dimension parameter, current dimension parameter, air pressure dimension parameter, voltage dimension parameter, and power dimension parameter of the fan under different dimensional working conditions, and combine at least one of the working condition environment parameters including the ambient temperature parameter, flue gas resistance parameter, and flue gas flow parameter to generate the heat load-fluid flow-rotational speed mapping relationship curve parameter. The heat load-fluid flow-rotational speed mapping relationship curve parameter is the preset open-loop control curve parameter. On the one hand, it can cover the typical operating scenarios within the entire life cycle of the equipment, visualize the complex non-linear relationship through the establishment of a three-dimensional mapping curve. Compared with the traditional two-dimensional look-up table method, it can improve the accuracy and timeliness of generating the first fan speed control parameter. At the same time, as the basis of open-loop control, the mapping curve can reduce the computational workload of real-time calculation and reduce the resource occupancy rate of the control system.

[0176] In the embodiment of the present invention, as another optional implementation manner, the specific method for the above-mentioned acquisition module 301 to acquire the heat load parameter of the application device corresponding to the fan includes:

[0177] Acquire the heat transfer parameter and air pressure parameter within a preset first range of the application device corresponding to the fan. The heat transfer parameter is used to represent the presence of physical quantities related to heat transfer within the preset first range of the application device corresponding to the fan. The heat transfer parameter includes at least one of the temperature parameter, fluid exchange heat parameter, fluid-solid exchange heat parameter, and heat radiation parameter;

[0178] Calculate the heat load parameter of the application device corresponding to the fan according to the heat transfer parameter and the air pressure parameter.

[0179] It can be seen that implementing this optional embodiment can comprehensively calculate the heat load parameter of the application device corresponding to the fan by acquiring at least one of the heat transfer parameter including the temperature parameter, fluid exchange heat parameter, fluid-solid exchange heat parameter, and heat radiation parameter and the air pressure parameter within a preset first range of the application device corresponding to the fan. By monitoring the temperature at multiple points, local overheating / overcooling areas of the device can be identified, avoiding the "blind spot effect" of traditional single-point temperature measurement. By introducing the heat radiation parameter, the error of the calculation result in high-temperature scenarios (>300 °C) can be reduced. By compensating and correcting the air pressure parameter, the interference of altitude change on heat load calculation can be eliminated (such as in applications in plateau areas). In the application of gas boilers, the combustion efficiency can be improved, and the fault diagnosis ability can be enhanced: early warning of heat exchange tube blockage faults can be given 24 hours in advance through abnormal heat transfer. At the same time, the application range can also be extended: supporting heat load calculations for pressure vessels from atmospheric pressure to 0.5 MPa.

[0180] In an embodiment of the present invention, as another alternative embodiment, the specific manner in which the above-mentioned acquisition module 301 acquires the fluid flow rate parameter of the fan corresponding to the application device includes:

[0181] Acquire the target detection frequency parameter in the fan corresponding application device, where the target detection frequency parameter is used to represent the alternating shedding vortex frequency situation of the fluid in the fan corresponding application device when passing through the bluff body;

[0182] Calculate the fluid volume parameter in the application device according to the physical volume parameter of the application device and the target detection frequency parameter;

[0183] Calculate the fluid flow rate parameter according to the fluid volume parameter and the fluid density parameter in the application device.

[0184] It can be seen that implementing this alternative embodiment can be insensitive to the fluid composition through vortex street frequency detection. Compared with traditional differential pressure flowmeters, it reduces the measurement error in particulate-containing media; by introducing physical volume parameters, it can automatically compensate for the influence of changes in the flow area caused by pipeline deformation, fouling, etc. Through real-time correction of density parameters, the accuracy of fluid flow measurement within a certain range under temperature and pressure fluctuations is beneficial to improving the measurement reliability of fluid flow rate parameters: it can still maintain a stable reading in a flue gas environment with a dust concentration > 200mg / m 3 At the same time, it reduces the maintenance frequency: the design without moving parts extends the calibration period of the flowmeter, and enhances compatibility: it supports the measurement of various media such as liquids, gases, and gas-liquid two-phase flows.

[0185] In an embodiment of the present invention, as an alternative embodiment, the above-mentioned first multi-dimensional operating state parameters include at least three-dimensional operating state parameters among power quality operating parameters, multi-point temperature distribution characteristic parameters, vibration characteristic parameters, and fluid dynamic parameters. The specific manner in which the judgment module 304 judges whether the fan meets the preset regulation conditions according to the first multi-dimensional operating state parameters includes:

[0186] For each operating state parameter, judge whether the operating state parameter is within the corresponding preset operating state threshold parameter range. When it is judged that the operating state parameter is not within the corresponding preset operating state threshold parameter range, determine the operating state parameter as the target dimension state parameter;

[0187] Calculate the dynamic performance parameter value of the fan according to all the target dimension state parameters and the preset priority values of all the target dimension state parameters. The preset priority values are determined according to the application scenario parameters and associated component parameters corresponding to the target dimension state parameters;

[0188] Determine whether the dynamic performance parameter value is greater than or equal to the preset dynamic performance parameter threshold. When it is determined that the dynamic performance parameter value is greater than or equal to the preset dynamic performance parameter threshold, it is determined that the fan meets the preset regulation condition.

[0189] It can be seen that implementing this optional embodiment can achieve multi-dimensional parameter joint judgment to identify compound faults (such as vibration + temperature anomaly indicating bearing lubrication failure), reduce the false alarm rate of fan control, improve the fault recognition priority of key subsystems (motor drive units) through the weighted calculation model of dynamic performance parameters, and the scenario adaptation mechanism of priority values (such as explosion protection is emphasized in chemical plants and energy efficiency is emphasized in power plants), improve the industry applicability of control strategies, and can improve the fault recognition rate: the detection rate of early compound faults is also improved, optimize resource allocation: prioritize the handling of high-risk anomalies, reduce maintenance costs, and enhance scenario adaptability: adapt to various industry special requirements through weight adjustment.

[0190] In this optional embodiment, as an optional implementation manner, the specific manner in which the above-mentioned generation module 303 generates the dynamic regulation compensation logic of the fan according to the first multi-dimensional operating state parameter and the first fan speed control parameter includes:

[0191] For each target dimension state parameter, extract the first target feature item and the second target feature item of the target dimension state parameter. The first target feature item is used to represent the feature situation where the target dimension state parameter is not within the corresponding preset operating state threshold parameter range, and the second target feature item is opposite to the first target feature item;

[0192] According to the second target feature item, analyze the abnormal feature factor corresponding to the first target feature item. The abnormal feature factor is used to represent the reason situation where the target dimension state parameter is not within the corresponding preset operating state threshold parameter range;

[0193] Respectively extract the first speed control sub-parameter in the first fan speed control parameter that is mapped to the first target feature item and the second speed control sub-parameter that is mapped to the second target feature item;

[0194] According to the first target feature item and its mapped first speed control sub-parameter and the second target feature item and its mapped second speed control sub-parameter, generate the basic compensation parameter of the target dimension state parameter. The basic compensation parameter corresponds to the abnormal feature factor;

[0195] Obtain the compensated operating state parameter of the target dimension state parameter. The compensated operating state parameter is used to represent the parameter performance situation of the target dimension state parameter after the basic compensation parameter;

[0196] Generate the dynamic compensation parameter of the target dimension state parameter according to the compensation operation state parameter and the basic compensation parameter, where the dynamic compensation parameter is used to correct the basic compensation parameter;

[0197] Generate the dynamic regulation compensation logic of the fan according to the basic compensation parameters of all target dimension state parameters and their corresponding dynamic compensation parameters. The dynamic regulation compensation logic is comprehensively generated based on the basic compensation parameters of all target dimension state parameters and their corresponding dynamic compensation parameters.

[0198] It can be seen that implementing this optional embodiment can identify the first target feature item (abnormal feature) and the second target feature item (normal benchmark), and perform comparative analysis, so as to accurately locate the root cause of the fault (such as the 5th harmonic exceeding the standard corresponding to the grid-side interference). Provide fast response through basic compensation (<100ms), and achieve long-term optimization through dynamic compensation (10 - 30 seconds cycle), forming a control closed-loop with double time scales. By establishing the mapping relationship of compensation parameters, the non-linear relationship between the speed adjustment amount and the fault severity can be accurately expressed, improving the compensation accuracy: under variable load conditions, reducing the control deviation and avoiding over-compensation; reducing the overshoot of the system by the dynamic attenuation mechanism and enhancing the anti-interference ability; maintaining the speed stability when the grid voltage drops suddenly.

[0199] In the embodiment of the present invention, as another optional implementation manner, the above acquisition module 301 is further configured to acquire the compensation energy consumption change trajectory parameter of the dynamic regulation compensation logic;

[0200] The judgment module 304 is further configured to judge whether the compensation energy consumption change trajectory parameter is within the preset compensation energy consumption change trajectory parameter range;

[0201] Optionally, as Figure 4 shown, the device further includes:

[0202] The determination module 305 is configured to, when the judgment module 304 determines that the compensation energy consumption change trajectory parameter is not within the preset compensation energy consumption change trajectory parameter range, determine the target energy consumption change characteristic parameter in the compensation energy consumption change trajectory parameter according to the preset compensation energy consumption change trajectory parameter range. The target energy consumption change characteristic parameter is used to represent the characteristic distribution of the compensation energy consumption change trajectory parameter that is not within the preset compensation energy consumption change trajectory parameter range;

[0203] The determination module 305 is further configured to determine the dynamically regulated compensation item mapped in the dynamic regulation compensation logic according to the target energy consumption change characteristic parameter;

[0204] The generating module 303 is further configured to generate a comprehensive compensation control parameter for the dynamic control compensation logic of the dynamic control compensation item according to the dynamic control compensation item, the target energy consumption change characteristic parameter, and the compensation energy consumption change trajectory threshold corresponding to the preset compensation energy consumption change trajectory parameter range, so as to adjust the dynamic control compensation logic, so that the compensation energy consumption change trajectory parameter of the adjusted dynamic control compensation logic is within the preset compensation energy consumption change trajectory parameter range.

[0205] It can be seen that implementing this optional embodiment can identify inefficient compensation modes through energy consumption trajectory analysis (such as increased copper loss of the motor caused by high-frequency speed adjustment), make energy consumption optimization accurate to specific control links through the mapping relationship between characteristic parameters and compensation items (such as reducing the vibration compensation frequency to reduce power consumption), achieve the Pareto optimal balance between energy efficiency and control through the adaptive generation of comprehensive compensation control parameters, and can reduce operating costs: for example, in the application of cement plants, the comprehensive power consumption can be reduced, and the equipment life can be extended: by reducing ineffective actions, reducing the start-stop times of the motor, supporting green operation: the carbon emissions are reduced corresponding to the national first-level energy efficiency standard, and the intelligent level is improved: the self-learning algorithm makes the energy efficiency of the system increase every 1000 hours of operation.

[0206] Embodiment 4

[0207] Please refer to Figure 5 , Figure 5 which is a schematic structural diagram of another fan control device disclosed in the embodiments of the present invention. Among them, the fan control device can be applied to a fan, and correspondingly, it is also applicable to fan usage scenarios, such as gas water heaters, industrial exhaust systems, air purification equipment, etc., and can also be applied to intelligent devices associated with the fan. The intelligent devices include, but are not limited to, one or more of battery devices, cloud devices, edge computing devices, relay devices, base station devices, urban management devices, and intelligent networked devices, which are not limited in the embodiments of the present invention. As Figure 5 shown, the fan control device may include:

[0208] A memory 401 storing executable program code.

[0209] A processor 402 coupled to the memory 401.

[0210] The processor 402 calls the executable program code stored in the memory 401 and executes the steps in the fan control method described in Embodiment 1 or Embodiment 2 of the present invention.

[0211] Embodiment 5

[0212] An embodiment of the present invention discloses a computer storage medium storing computer instructions, which when called, are used to execute the steps in the fan control method described in Embodiment 1 or Embodiment 2 of the present invention.

[0213] Embodiment 6

[0214] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer storage medium storing a computer program, and the computer program is operable to cause a computer to execute the steps in the fan control method described in Embodiment 1 or Embodiment 2.

[0215] The device embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed to multiple network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0216] Through the specific descriptions of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution, in essence, or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc memories, magnetic disk memories, tape memories, or any other computer-readable medium capable of carrying or storing data.

[0217] Finally, it should be noted that: What is disclosed by a fan control method and device according to an embodiment of the present invention is only a preferred embodiment of the present invention, which is only used to illustrate the technical solution of the present invention, rather than limiting it; Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: They can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; And these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A fan control method, characterized in that: The method comprises: Collect the heat load parameters and fluid flow parameters of the fan corresponding to the application equipment; Matching the application operating condition parameters of the fan according to the heat load parameters and the fluid flow parameters; Generating a first fan speed control parameter of the fan according to the application operating condition parameter and a preset open-loop control curve parameter; Collecting a first multi-dimensional operating state parameter of the wind turbine; According to the first multi-dimensional operating state parameter, determining whether the fan meets a preset control condition; When it is determined that the fan meets the preset control conditions, the dynamic control compensation logic of the fan is generated according to the first multi-dimensional operating status parameter and the first fan speed control parameter. The dynamic control compensation logic is used to adjust the first fan speed control parameter to a second fan speed control parameter. The second multi-dimensional operating status parameter of the fan corresponding to the second fan speed control parameter does not meet the preset control conditions.

2. The fan control method according to claim 1, characterized in that: Before generating the first fan speed control parameter of the fan according to the application condition parameter and the preset open-loop control curve parameter, the method further includes: Collecting third multi-dimensional operating state parameters of the fan under different dimensional working conditions, the third multi-dimensional operating state parameters include at least two of a speed dimension parameter, a current dimension parameter, a wind pressure dimension parameter, a voltage dimension parameter, and a power dimension parameter, and the working condition environment parameters under different dimensional working conditions are different, and the working condition environment parameters include at least one of an ambient temperature parameter, a flue resistance parameter, and a flue flow parameter; According to the third multi-dimensional operating state parameter and the operating environment parameter, a heat load-fluid flow-speed mapping relationship curve parameter is generated, and the heat load-fluid flow-speed mapping relationship curve parameter is the preset open-loop control curve parameter.

3. The fan control method according to claim 1, characterized in that: The heat load parameters of the application equipment corresponding to the collection fan include: Collecting heat transfer parameters and air pressure parameters within a preset first range of the application equipment corresponding to the fan, wherein the heat transfer parameters are used to indicate the existence of physical quantities related to heat transfer within a preset first range of the application equipment corresponding to the fan, and the heat transfer parameters include at least one of a temperature parameter, a fluid exchange heat parameter, a fluid-solid exchange heat parameter, and a thermal radiation parameter; The heat load parameter of the fan corresponding to the application equipment is calculated according to the heat transfer parameter and the air pressure parameter.

4. The fan control method according to claim 1, characterized in that: The fluid flow parameters of the application equipment corresponding to the fan are collected, including: Collecting a target detection frequency parameter in the application device corresponding to the fan, wherein the target detection frequency parameter is used to indicate the frequency of alternating shedding vortices generated when the fluid in the application device corresponding to the fan passes through a blunt body; Calculating a fluid volume parameter in the application device according to a physical volume parameter of the application device and the target detection frequency parameter; The fluid flow parameter is calculated according to the fluid volume parameter and the fluid density parameter in the application equipment.

5. The fan control method according to any one of claims 1 to 4, characterized in that: The first multi-dimensional operating state parameter includes operating state parameters of at least three dimensions among power quality operating parameters, multi-point temperature distribution characteristic parameters, vibration characteristic parameters and fluid dynamic parameters. The judging whether the wind turbine meets the preset control condition according to the first multi-dimensional operating state parameter includes: For each of the operating status parameters, determine whether the operating status parameter is within the corresponding preset operating status threshold parameter range. When it is determined that the operating status parameter is not within the corresponding preset operating status threshold parameter range, determine that the operating status parameter is a target dimension status parameter; Calculating the dynamic performance parameter value of the wind turbine according to all the target dimension state parameters and the preset priority values ​​of all the target dimension state parameters, wherein the preset priority values ​​are determined according to the application scenario parameters and the associated component parameters corresponding to the target dimension state parameters; It is determined whether the dynamic performance parameter value is greater than or equal to a preset dynamic performance parameter threshold value. When it is determined that the dynamic performance parameter value is greater than or equal to the preset dynamic performance parameter threshold value, it is determined that the fan meets the preset control condition.

6. The fan control method according to claim 5, characterized in that: Generating the dynamic control compensation logic of the fan according to the first multi-dimensional operating state parameter and the first fan speed control parameter includes: For each of the target dimension state parameters, extract a first target feature item and a second target feature item of the target dimension state parameter, wherein the first target feature item is used to indicate a characteristic situation where the target dimension state parameter is not within the corresponding preset operating state threshold parameter range, and the second target feature item is opposite to the first target feature item; According to the second target feature item, analyzing the abnormal feature factor corresponding to the first target feature item, the abnormal feature factor is used to indicate the reason why the target dimension state parameter is not within the corresponding preset operating state threshold parameter range; Respectively extracting a first speed control sub-parameter mapped to the first target characteristic item and a second speed control sub-parameter mapped to the second target characteristic item from the first fan speed control parameter; Generate a basic compensation parameter of the target dimension state parameter according to the first target characteristic item and the first speed control sub-parameter mapped thereto and the second speed control sub-parameter mapped thereto, wherein the basic compensation parameter corresponds to the abnormal characteristic factor; Obtaining a compensation operation state parameter of the target dimension state parameter, wherein the compensation operation state parameter is used to indicate a parameter performance of the target dimension state parameter after the basic compensation parameter; Generate a dynamic compensation parameter of the target dimension state parameter according to the compensation operation state parameter and the basic compensation parameter, wherein the dynamic compensation parameter is used to correct the basic compensation parameter; According to the basic compensation parameters of all the target dimensional state parameters and the corresponding dynamic compensation parameters, the dynamic control compensation logic of the wind turbine is generated, and the dynamic control compensation logic is comprehensively generated based on the basic compensation parameters of all the target dimensional state parameters and the corresponding dynamic compensation parameters.

7. The fan control method according to any one of claims 1 to 4 and 6, characterized in that: The method further comprises: Collecting compensation energy consumption change trajectory parameters of the dynamic control compensation logic; Determine whether the compensation energy consumption change trajectory parameter is within a preset compensation energy consumption change trajectory parameter range. When it is determined that the compensation energy consumption change trajectory parameter is not within the preset compensation energy consumption change trajectory parameter range, determine a target energy consumption change characteristic parameter in the compensation energy consumption change trajectory parameter according to the preset compensation energy consumption change trajectory parameter range. The target energy consumption change characteristic parameter is used to indicate a characteristic distribution of the compensation energy consumption change trajectory parameter that is not within the preset compensation energy consumption change trajectory parameter range. Determining a dynamic control compensation item mapped in the dynamic control compensation logic according to the target energy consumption change characteristic parameter; Based on the dynamic control compensation item, the target energy consumption change characteristic parameter and the compensation energy consumption change trajectory threshold value corresponding to it within the preset compensation energy consumption change trajectory parameter range, a comprehensive compensation control parameter of the dynamic control compensation logic for the dynamic control compensation item is generated to control the dynamic control compensation logic so that the compensation energy consumption change trajectory parameter of the dynamic control compensation logic after control is within the preset compensation energy consumption change trajectory parameter range.

8. A fan control device, characterized in that: The device comprises: A collection module is used to collect heat load parameters and fluid flow parameters of the fan corresponding to the application equipment; A matching module, used for matching the application operating condition parameters of the fan according to the heat load parameters and the fluid flow parameters; A generating module, configured to generate a first fan speed control parameter of the fan according to the application operating condition parameter and a preset open-loop control curve parameter; The acquisition module is further used to acquire the first multi-dimensional operating state parameter of the wind turbine; A judgment module, used for judging whether the fan meets a preset control condition according to the first multi-dimensional operating state parameter; The generation module is also used to generate a dynamic control compensation logic for the fan based on the first multi-dimensional operating state parameter and the first fan speed control parameter when the judgment module determines that the fan meets the preset control condition. The dynamic control compensation logic is used to adjust the first fan speed control parameter to a second fan speed control parameter. The second multi-dimensional operating state parameter of the fan corresponding to the second fan speed control parameter does not meet the preset control condition.

9. A fan control device, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the fan control method according to any one of claims 1 to 7.

10. A computer storage medium, characterized in that: The computer storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the fan control method according to any one of claims 1 to 7.

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