Intelligent fan energy-saving control method and system for frequency dynamic optimization under efficiency matching

Abstract

The invention discloses an intelligent fan energy-saving control method and system for frequency dynamic optimization under efficiency matching. The method comprises the steps that the torque of a motor and the air volume and air pressure of a fan are obtained in real time; according to the torque, the air volume and the air pressure which are obtained in real time, the output power of a motor and the output power of a fan are calculated according to the input power and the output power of the frequency converter, and the real-time efficiency of the frequency converter, the motor and the fan under different working conditions is calculated according to the input power and the output power; according to the real-time efficiency, in combination with a pre-configured efficiency matching model, calculating an optimal efficiency matching interval; and performing dynamic optimization in the optimal efficiency matching interval by using a pre-configured intelligent analysis model, and calculating the frequency corresponding to the lowest power point as the control frequency. According to the invention, the energy-saving control of the intelligent fan is realized by tracking and controlling the change of the efficiency of the frequency converter, the efficiency of the motor and the efficiency of the fan caused by the frequency change of the frequency converter caused by the load change in real time.

Description

Technical Field

[0001] The present invention relates to the field of electrical control of a dust removal fan, and in particular to an intelligent fan energy-saving control method and system based on dynamic frequency optimization under efficiency matching. Background Art

[0002] As a highly energy- and resource-intensive enterprise, steel enterprises are also energy-intensive industries, and are the focus of energy-saving optimization and transformation. Dust removal fans are one of the most powerful and power-consuming equipment in steel enterprises, so the research on energy-saving technology of dust removal fans is one of the ways to transform and innovate steel enterprises.

[0003] In the production process of steel enterprises, dust removal fans mostly use variable frequency speed regulation. Variable frequency speed regulation is the most effective way to save electricity and the most widely used energy-saving measure. However, there are several traditional ways to control dust removal fans: 1. Adjust the speed of the dust removal fan motor to the set speed; 2. The dust removal point valve is not controlled, and the dust collector inlet pressure is introduced as the control parameter, and constant pressure control is achieved through fan speed regulation; 3. The dust removal point valve is opened and closed according to the working conditions and process requirements, and the variable frequency system controls the dust removal fan speed by detecting the opening of the dust removal point valve.

[0004] The above control methods can achieve energy saving to a certain extent, but they do not take into account the changes in the inverter's own efficiency, motor efficiency and fan efficiency caused by the change in inverter frequency due to load changes. The changes in the efficiency of these equipment systems cause a significant drop in the overall efficiency of the dust removal fan system and serious waste of electricity. Summary of the invention

[0005] In order to overcome the shortcomings of the above-mentioned prior art, the present invention provides an intelligent fan energy-saving control method and system for dynamically optimizing frequency under efficiency matching, which realizes intelligent fan energy-saving control by real-time tracking and controlling the changes in the inverter's own efficiency, motor efficiency and fan efficiency caused by changes in the inverter frequency caused by load changes.

[0006] According to one aspect of the present invention, there is provided an intelligent fan energy-saving control method for dynamically optimizing frequency under efficiency matching, comprising: Obtain the motor torque and the fan air volume and pressure in real time; The motor output power and the fan output power are calculated based on the torque, air volume and air pressure obtained in real time, combined with the input power and output power of the frequency converter, and the real-time efficiency of the frequency converter, the motor and the fan under different working conditions is calculated based on the input power and output power; According to the real-time efficiency, combined with a pre-configured efficiency matching model, an optimal efficiency matching interval is calculated; A pre-configured intelligent analysis model is used to dynamically optimize within the optimal efficiency matching interval, and the frequency corresponding to the lowest power point is calculated as the control frequency.

[0007] As a further technical solution, the pre-configuration of the efficiency matching model includes: Configuration database for storing efficiency operating curves of inverters, motors and fans; A matching module is configured to automatically detect the efficiency operating curves of the inverter, motor and fan according to the real-time efficiency to obtain the best efficiency matching range.

[0008] As a further technical solution, the lower limit of the optimal efficiency matching range is the lowest frequency point corresponding to two intersection points of the three efficiency operation curves, and the upper limit is the highest frequency point corresponding to two intersection points of the three efficiency operation curves.

[0009] As a further technical solution, the pre-configuration of the intelligent analysis model includes: According to the real-time fan output power, combined with the pre-set mapping relationship between frequency and fan output power, determine whether the current fan output power is within the optimal efficiency matching range; If it is not within the optimal efficiency matching interval, the input power of the motor at each frequency point within the optimal efficiency matching interval is calculated based on the motor parameters, and the frequency corresponding to the minimum input power is used as the inverter frequency.

[0010] As a further technical solution, if it is within the optimal efficiency matching range, the frequency obtained by mapping the current fan output power is used as the inverter control frequency.

[0011] According to one aspect of the invention specification, there is provided an intelligent fan energy-saving control system for dynamically optimizing frequency under efficiency matching, comprising a control system server, a system switch, a frequency converter communication module, a data acquisition module, a torque sensor, an air volume sensor and a wind pressure sensor, wherein the control system server, the frequency converter communication module and the data acquisition module are respectively connected to the system switch to form a control system network; the frequency converter communication module is respectively connected to the frequency converter and the system switch; the torque sensor, the air volume sensor and the wind pressure sensor are respectively connected to the data acquisition module.

[0012] According to one aspect of the present invention specification, there is provided a control device, comprising: at least one processor, at least one memory and a communication interface; wherein the processor, memory and communication interface communicate with each other; the memory stores program instructions executed by the processor, and the processor calls the program instructions to execute the described method.

[0013] According to one aspect of the present specification, a non-transitory computer-readable storage medium is provided, wherein the non-transitory computer-readable storage medium stores computer instructions, wherein the computer instructions enable the computer to execute the method described above.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention discloses an intelligent fan energy-saving control method based on dynamic frequency optimization under efficiency matching. The method calculates the real-time efficiency of the frequency converter, the motor and the fan under different working conditions by detecting the torque of the motor and the air volume and air pressure of the fan in real time. The best efficiency matching interval is calculated according to the real-time efficiency in combination with a pre-configured efficiency matching model. The pre-configured intelligent analysis model is used to dynamically optimize within the best efficiency matching interval, and the frequency corresponding to the lowest power point is calculated as the control frequency, thereby ensuring that the fan system always operates at the frequency corresponding to the lowest power point within the best efficiency matching interval, ensuring that the system efficiency is greatly improved while meeting the system requirements, and ensuring the maximization of the energy-saving benefits.

[0015] The present invention discloses an intelligent fan energy-saving control system based on dynamic optimization of frequency under efficiency matching, which is composed of a control system server, a system switch, a frequency converter communication module, a data acquisition module, a torque sensor, an air volume sensor and a wind pressure sensor. A database is configured in the control system server to store characteristic curves of frequency converters, motors and fans in the existing dust removal fan system. The control system server is configured with an efficiency matching model and an intelligent analysis model to ensure that the dust removal fan system always operates at a frequency corresponding to the lowest power point within an optimal efficiency matching interval, ensuring that the system efficiency is greatly improved while meeting the system requirements, and ensuring the maximization of energy-saving benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, a brief introduction is given below to the drawings used in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0017] Figure 1 A schematic flow chart of an intelligent fan energy-saving control method for dynamically optimizing frequency under efficiency matching provided by an embodiment of the present invention.

[0018] Figure 2 A schematic diagram of the optimal efficiency matching interval provided by an embodiment of the present invention.

[0019] Figure 3 A schematic diagram of the structure of an intelligent fan energy-saving control system with dynamic frequency optimization under efficiency matching provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0020] In view of the fact that the current dust removal fan system still has great energy-saving potential, the present invention provides an intelligent fan energy-saving control method for dynamically optimizing frequency under efficiency matching, so as to further reduce the energy consumption of the dust removal fan and realize precise control of the dust removal fan frequency.

[0021] The terms "including" and "having" and any variations thereof in the specification and claims of the present invention and the above-mentioned drawings are intended to cover non-exclusive inclusions, for example, a process, method, system, product or apparatus comprising a series of steps or units is not necessarily limited to the steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to these processes, methods, products or apparatuses.

[0022] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices. The flowcharts shown in the accompanying drawings are merely exemplary and do not necessarily include all the contents and operations / steps, nor do they necessarily have to be executed in the order described. For example, some operations / steps may be further decomposed, while some operations / steps may be combined or partially combined, so the actual execution order may change according to the actual situation.

[0023] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. In addition, the technical features in the various embodiments or single embodiments provided by the present invention are arbitrarily combined with each other to form a new technical solution. This combination is not restricted by the sequence of steps and / or the structural composition mode, but must be based on the ability of ordinary technicians in this field to achieve. When the combination of technical solutions is contradictory or cannot be achieved, it should be considered that this combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0024] The present invention provides an intelligent fan energy-saving control method for dynamically optimizing frequency under efficiency matching. Figure 1 As shown, including: Step 1: Obtain the torque of the motor and the air volume and air pressure of the fan in real time.

[0025] Specifically, the torque sensor is installed on the output side of the motor to detect the output torque value of the motor in real time. It is connected to the data acquisition module through a cable and transmits the measured torque value to the system server through the system network.

[0026] The air volume sensor is installed in the duct at the fan outlet to detect the output air volume value of the fan in real time. It is connected to the data acquisition module through a cable and transmits the measured air volume value to the control system server through the system network.

[0027] The wind pressure sensor is installed in the pipe at the fan outlet to detect the wind pressure value of the fan in real time. It is connected to the data acquisition module through a cable and transmits the measured wind pressure value to the control system server through the system network.

[0028] Step 2, based on the real-time acquired torque, air volume and air pressure, combined with the input power and output power of the inverter, calculate the motor output power and the fan output power, and calculate the real-time efficiency of the inverter, motor and fan under different working conditions based on the input power and output power.

[0029] A database is configured in the control system server to store the characteristic curves of the inverter, motor and fan in the existing dust removal fan system. When the dust removal system is running, the control system calculates the motor output power P2 and fan output power P3 based on the real-time detected data (torque T, air volume Q and air pressure P) and the inverter input power P0 and output power P1 obtained through communication with the inverter, and then calculates the real-time efficiency of the inverter, motor and fan under different working conditions: η 变频器 , η 风机 and η 风机 , and at the same time analyze and record the load data of the dust removal system under its changes.

[0030] The input power of the frequency converter is P0, the output power is P1, the input power of the motor is the same as the output power of the frequency converter P1, the output power of the motor is the same as the input power of the fan P2, and the output power of the fan is P3.

[0031]

[0032] Among them, P0 and P1 can be directly obtained from the inverter through the inverter communication module;

[0033] Wherein, T is the torque value measured by the torque sensor;

[0034] Among them, P is the fan outlet pressure value measured by the wind pressure sensor, Q is the fan outlet pressure value measured by the air volume sensor, and k is the motor capacity coefficient.

[0035] Step 3: Calculate the best efficiency matching interval based on the real-time efficiency and a pre-configured efficiency matching model.

[0036] The efficiency matching model configured in the control system server automatically detects the operating efficiency curves of the inverter, motor, and load based on the changes in the load P3 (i.e., the fan output power) calculated in real time and the original data comparison results of the motor and fan stored in the database, analyzes the efficiency matching degree based on the curve, and calculates the additional Figure 2 The best efficiency matching interval shown in is f 01 -f 02 , where f 01 is η 变频器 , η 风机 and η 风机 The lowest frequency point corresponding to the two intersection points of the three curves, f 02 is η 变频器 , η 风机 and η 风机 The highest frequency point corresponding to the intersection of two of the three curves.

[0037] Step 4: dynamically optimize within the optimal efficiency matching interval using a pre-configured intelligent analysis model, and calculate the frequency corresponding to the lowest power point as the control frequency.

[0038] The control system server is equipped with an intelligent analysis model. According to the operation status of the previous fixed time, it can analyze the data such as "process demand law" and "optimization trend and range of power saving parameters" under the current load of the dust removal system. It can dynamically optimize within the optimal efficiency matching range obtained by the above efficiency matching model, calculate the frequency f0 corresponding to the lowest power point, and use f0 as the control frequency. The control system server sends it to the inverter to realize the overall analysis and real-time control of the dust removal fan running speed, ensuring that the dust removal fan system always runs at the frequency f0 corresponding to the lowest power point within the optimal efficiency matching range. The current load is the input power P1 of the motor.

[0039] In the embodiment of the present invention, the pre-configuration of the intelligent analysis model includes: According to the real-time fan output power, combined with the pre-set mapping relationship between frequency and fan output power, determine whether the current fan output power is within the optimal efficiency matching range; If it is not within the optimal efficiency matching interval, the input power of the motor at each frequency point within the optimal efficiency matching interval is calculated based on the motor parameters, and the frequency corresponding to the minimum input power is used as the inverter frequency.

[0040] If it is within the optimal efficiency matching range, the frequency obtained by mapping the current fan output power is used as the inverter control frequency.

[0041] It should be noted that the “process demand law” is a frequency value preset manually, which corresponds to the output power of the fan one-to-one, such as the fan output power P 31 Corresponding to f0, if the value of f0 is in f 01 -f 02 If the value of f0 is not within the range of f 01 -f 02 If the inverter operating frequency f0 is within the range, the inverter operating frequency f0 is calculated using the "power saving parameter optimization trend and range" method, and the calculated frequency value is guaranteed to be within f 01 -f 02 within the range.

[0042] "Power saving parameter optimization trend and range" is an intelligent analysis model that analyzes the motor parameters. 01 -f 02 The range calculation compares the frequency point at which the input power P1 of the motor is the smallest. If it is calculated that the P1 value is the smallest when the inverter is running at f0, the inverter operating frequency is set to f0, and the f0 value is at f 01 -f 02 within the range.

[0043] When the load changes, the control system efficiency matching model automatically calculates the next optimal efficiency matching range. At the same time, the intelligent analysis model calculates the frequency f0 corresponding to the next minimum power point, ensuring that the fan operating frequency is always at the optimal frequency point within this range, ensuring that the dust removal fan system is always in the optimal operating state, and ensuring maximum energy-saving benefits.

[0044] Based on the same inventive concept as the aforementioned method embodiment, the embodiment of the present invention also provides an intelligent fan energy-saving control system for dynamically optimizing frequency under efficiency matching, such as Figure 3As shown, it includes a control system server 1-1, a system switch 1-2, a frequency converter communication module 1-3, a data acquisition module 1-4, a torque sensor 1-5, an air volume sensor 1-6 and an air pressure sensor 1-7. The control system server, the frequency converter communication unit and the data acquisition module are connected to the switch through a network cable to form a control system network; the frequency converter communication module is connected to the frequency converter and the system switch through a network cable respectively; the torque sensor is installed on the output side of the motor, detects the output torque value of the motor in real time, is connected to the data acquisition module through a cable, and transmits the measured torque value to the system server through the system network; the air volume sensor is installed in the pipe at the outlet of the fan, detects the output air volume value of the fan in real time, is connected to the data acquisition module through a cable, and transmits the measured air volume value to the control system server through the system network; the air pressure sensor is installed in the pipe at the outlet of the fan, detects the wind pressure value of the fan in real time, is connected to the data acquisition module through a cable, and transmits the measured wind pressure value to the control system server through the system network.

[0045] A database is configured in the control system server for storing characteristic curves of the frequency converter 2, the motor 3 and the fan 4 in the existing dust removal fan system.

[0046] The control system calculates the motor output power P2 and fan output power P3 based on the real-time detected data (torque T, air volume Q and air pressure P) and the inverter input power P0 and output power P1 obtained through communication with the inverter, and then calculates the real-time efficiency of the inverter, motor and fan under different working conditions: η 变频器 , η 风机 and η 风机 .

[0047] The input power of the inverter is P0, and the output power is P1. The input power of the motor is the same as the output power of the inverter, which is P1. The output power of the motor is the same as the input power of the fan, which is P2. The output power of the fan is P3.

[0048] The efficiency matching model configured in the control system server automatically detects the operating efficiency curves of the inverter, motor, and load based on the changes in the load P3 (i.e., the fan output power) calculated in real time and the original data comparison results of the motor and fan stored in the database, analyzes the efficiency matching degree based on the curve, and calculates the additional Figure 2 The optimal efficiency matching range shown in is 30Hz-33Hz. The control system makes the dust removal fan system always operate in this range, ensuring that the system efficiency is greatly improved and the energy consumption is reduced as much as possible while meeting the system requirements.

[0049] At the same time, the intelligent analysis model configured by the control system server can analyze the current "load rate", "process demand law", "power-saving parameter optimization trend and range" and other data of the dust removal system according to the operation status of the previous fixed time. It can dynamically optimize within the optimal efficiency matching range obtained by the above-mentioned efficiency matching model, and calculate that the frequency f0 corresponding to the lowest power point is 31.5Hz. At this time, the total energy consumption of the motor, inverter and fan load is the lowest. Therefore, 31.5Hz is used as the control frequency, which is sent from the control system server to the inverter to realize the overall analysis and real-time control of the dust removal fan operating speed, ensuring that the dust removal fan system always operates at the frequency corresponding to the lowest power point within an optimal efficiency matching range, thereby achieving the best energy-saving effect.

[0050] Based on the same inventive concept as the aforementioned embodiment, an embodiment of the present invention also provides a control device, comprising: at least one processor, at least one memory and a communication interface; wherein the processor, memory and communication interface communicate with each other; the memory stores program instructions executed by the processor, and the processor calls the program instructions to execute the described method.

[0051] When the control device is used for intelligent fan control, the database configured by the memory storage is used to store the characteristic curves of the inverter, motor and fan in the existing dust removal fan system. At the same time, through the efficiency matching model and intelligent analysis model configured by the memory storage, when the processor calls the stored instructions, the real-time efficiency and the best efficiency matching range are calculated and the inverter control frequency is dynamically optimized to ensure that the dust removal fan system always runs at the frequency f0 corresponding to the lowest power point in the best efficiency matching range, ensuring that the system efficiency is greatly improved while meeting the system requirements and maximizing the energy saving benefits. Based on the same inventive concept as the above-mentioned embodiment, the embodiment of the present invention further provides a non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium stores computer instructions, and the computer instructions enable the computer to execute the method: Obtain the motor torque and the fan air volume and pressure in real time; The motor output power and the fan output power are calculated based on the torque, air volume and air pressure obtained in real time, combined with the input power and output power of the frequency converter, and the real-time efficiency of the frequency converter, the motor and the fan under different working conditions is calculated based on the input power and output power; According to the real-time efficiency, combined with a pre-configured efficiency matching model, an optimal efficiency matching interval is calculated; A pre-configured intelligent analysis model is used to dynamically optimize within the optimal efficiency matching interval, and the frequency corresponding to the lowest power point is calculated as the control frequency.

[0052] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent fan energy-saving control method for dynamically optimizing frequency under efficiency matching, characterized in that: include: Obtain the motor torque and the fan air volume and pressure in real time; The motor output power and the fan output power are calculated based on the torque, air volume and air pressure obtained in real time, combined with the input power and output power of the frequency converter, and the real-time efficiency of the frequency converter, the motor and the fan under different working conditions is calculated based on the input power and output power; According to the real-time efficiency, combined with a pre-configured efficiency matching model, an optimal efficiency matching interval is calculated; A pre-configured intelligent analysis model is used to dynamically optimize within the optimal efficiency matching interval, and the frequency corresponding to the lowest power point is calculated as the control frequency.

2. The intelligent fan energy-saving control method for dynamically optimizing frequency under efficiency matching according to claim 1 is characterized in that: The pre-configuration of the efficiency matching model includes: Configuration database for storing efficiency operating curves of inverters, motors and fans; A matching module is configured to automatically detect the efficiency operating curves of the inverter, motor and fan according to the real-time efficiency to obtain the best efficiency matching range.

3. The intelligent fan energy-saving control method for dynamically optimizing frequency under efficiency matching according to claim 2 is characterized in that: The lower limit of the optimal efficiency matching range is the lowest frequency point corresponding to two intersection points of the three efficiency operation curves, and the upper limit is the highest frequency point corresponding to two intersection points of the three efficiency operation curves.

4. The intelligent fan energy-saving control method for dynamically optimizing frequency under efficiency matching according to claim 1 is characterized in that: The pre-configuration of the intelligent analysis model includes: According to the real-time fan output power, combined with the pre-set mapping relationship between frequency and fan output power, determine whether the current fan output power is within the optimal efficiency matching range; If it is not within the optimal efficiency matching interval, the input power of the motor at each frequency point within the optimal efficiency matching interval is calculated based on the motor parameters, and the frequency corresponding to the minimum input power is used as the inverter frequency.

5. The intelligent fan energy-saving control method of dynamically optimizing frequency under efficiency matching according to claim 4 is characterized in that: If it is within the optimal efficiency matching range, the frequency obtained by mapping the current fan output power is used as the inverter control frequency.

6. Intelligent fan energy-saving control system with dynamic frequency optimization under efficiency matching, characterized by: It includes a control system server, a system switch, a frequency converter communication module, a data acquisition module, a torque sensor, an air volume sensor and a wind pressure sensor, wherein the control system server, the frequency converter communication module and the data acquisition module are respectively connected to the system switch to form a control system network; the frequency converter communication module is respectively connected to the frequency converter and the system switch; the torque sensor, the air volume sensor and the wind pressure sensor are respectively connected to the data acquisition module.

7. A control device, characterized in that: include: At least one processor, at least one memory and a communication interface; wherein the processor, memory and communication interface communicate with each other; The memory stores program instructions executed by the processor, and the processor calls the program instructions to execute the method according to any one of claims 1 to 5.

8. A non-transitory computer readable storage medium, characterized in that: The non-transitory computer-readable storage medium stores computer instructions, which cause the computer to execute the method of any one of claims 1 to 5.

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