Axial flow fan optimization control method and system based on adaptive temperature

Abstract

The invention provides an axial flow fan optimization control method and system based on self-adaptive temperature. The method comprises the steps that all main and standby axial flow fan combinations, the temperature at the to-be-optimized moment, the temperature return difference at the to-be-optimized moment and the temperature change rate at the to-be-optimized moment in a hydraulic power plant are obtained in real time; according to the temperature of the to-be-optimized moment, the temperature return difference of the to-be-optimized moment, the temperature change rate of the to-be-optimized moment and a preset temperature threshold and temperature change rate two-parameter control model, the number of axial flow fans needing to run at the to-be-optimized moment is determined; and determining an optimization control strategy of each main and standby axial flow fan at the to-be-optimized moment according to each main and standby axial flow fan combination, the number of the axial flow fans needing to operate at the to-be-optimized moment and a preset rotation strategy. According to the technical scheme provided by the invention, the operation efficiency of the fan is improved, the service power of a power station is reduced, and the service life of equipment is prolonged.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of hydroelectric equipment cooling control, and in particular to an axial flow fan optimization control method and system based on adaptive temperature. BACKGROUND

[0002] The axial flow fan is the core equipment of the forced circulation ventilation cooling system of the bulb tubular hydroelectric generating unit. The axial flow fan drives air to flow along the axial direction, carries out the heat generated in the operation of the generator through the water-air cooler, and completes the circulation, thereby guaranteeing the heat dissipation requirement of the key components such as the stator and the rotor. The operation efficiency of the axial flow fan directly affects the energy consumption and the equipment life of the unit.

[0003] The existing axial flow fan control mainly depends on the unit load threshold triggering logic. For example, a certain hydroelectric power station is configured with six axial flow fans with a single-machine power of 30 kW. In the original control scheme, when the unit load is lower than a certain threshold, four fans are fixedly operated, and when the unit load is higher than the threshold, all six fans are started. This mode has the following defects: in the low load condition, the number of fans operated is not dynamically adjusted according to the actual heat generation, resulting in waste of plant power (for example, four fans still need to be operated in the low load condition); at the same time, due to the lack of fan rotation mechanism, some fans are operated for a long time under high load, which aggravates the uneven wear problem and shortens the overall service life of the equipment. Therefore, it is urgent to propose a scheme that can improve the operation efficiency of the fan, reduce the plant power of the power station, and prolong the service life of the equipment. SUMMARY

[0004] The present application provides an axial flow fan optimization control method and system based on adaptive temperature, to at least solve the technical problems of high energy consumption and uneven wear of the fan caused by the existing load control logic of the axial flow fan.

[0005] The first aspect embodiment of the present application provides an axial flow fan optimization control method based on adaptive temperature, which comprises the following steps:

[0006] real-time acquisition of a combination of main and standby axial flow fans in a hydroelectric power plant, a temperature at an optimization time, a temperature hysteresis at the optimization time, and a temperature change rate at the optimization time;

[0007] determination of the number of axial flow fans required to be operated at the optimization time according to the temperature at the optimization time, the temperature hysteresis at the optimization time, the temperature change rate at the optimization time, and a preset temperature threshold and temperature change rate double-parameter control model;

[0008] determination of an optimization control strategy of each main and standby axial flow fan at the optimization time according to the combination of main and standby axial flow fans, the number of axial flow fans required to be operated at the optimization time, and a preset rotation strategy.

[0009] Preferably, the calculation formula of the preset temperature threshold and temperature change rate double-parameter control model is as follows:

[0010]

[0011] wherein, is the temperature T and the temperature change rate at the time to be optimized is the number of operation of the lower axial flow fan, T is the temperature at the time to be optimized, and ΔT is the temperature difference at the time to be optimized, is the temperature change rate at the time to be optimized, T1 is the first temperature threshold, T2 is the second temperature threshold, T3 is the third temperature threshold, and ∪ is the logical relationship or.

[0012] Further, the optimization control strategy of each main and standby axial flow fan at the time to be optimized is determined according to the combination of each main and standby axial flow fan, the number of axial flow fans required to be operated at the time to be optimized, and the preset rotation strategy, and the method comprises the steps of:

[0013] acquiring the main axial flow fan and the standby axial flow fan in the combination of each main and standby axial flow fan;

[0014] collecting the running time of each main axial flow fan and the running time of each standby axial flow fan by using a time counter;

[0015] determining the optimization control strategy of each main and standby axial flow fan at the time to be optimized based on the running time of each main axial flow fan, the running time of each standby axial flow fan, the number of axial flow fans required to be operated at the time to be optimized, and the preset rotation strategy.

[0016] Further, the optimization control strategy of each main and standby axial flow fan at the time to be optimized is determined based on the running time of each main axial flow fan, the running time of each standby axial flow fan, the number of axial flow fans required to be operated at the time to be optimized, and the preset rotation strategy, and the method comprises the steps of:

[0017] determining the rotation strategy level at the time to be optimized according to the number of axial flow fans required to be operated at the time to be optimized;

[0018] determining the operable time of each main axial flow fan and each standby axial flow fan according to the rotation strategy level at the time to be optimized;

[0019] determining the optimization control strategy of each main and standby axial flow fan at the time to be optimized based on the operable time of each main axial flow fan and each standby axial flow fan, the running time of each main axial flow fan, the running time of each standby axial flow fan, and the preset rotation strategy.

[0020] Further, the rotation strategy level at the time to be optimized is determined according to the number of axial flow fans required to be operated at the time to be optimized, and the method comprises the steps of:

[0021] When the number of axial flow fans required to run at the time to be optimized is equal to 3, it is judged that the rotation strategy level of the time to be optimized is level one;

[0022] When the number of axial flow fans required to run at the time to be optimized is equal to 4, it is judged that the rotation strategy level of the time to be optimized is level two;

[0023] When the number of axial flow fans required to run at the time to be optimized is equal to 5, it is judged that the rotation strategy level of the time to be optimized is level three;

[0024] When the number of axial flow fans required to run at the time to be optimized is equal to 6, it is judged that the rotation strategy level of the time to be optimized is level four.

[0025] Further, the calculation formula of the running time of each main axial flow fan and each standby axial flow fan is as follows:

[0026]

[0027] In the formula, t S is the running time of each main axial flow fan and each standby axial flow fan, t0 is a time constant, and S is the rotation strategy level number.

[0028] Further, the optimization control strategy of each main and standby axial flow fan at the time to be optimized is determined based on the running time of each main axial flow fan and each standby axial flow fan, the running time of each main axial flow fan, the running time of each standby axial flow fan, and a preset rotation strategy, and the optimization control strategy comprises the following steps:

[0029] If the rotation strategy level of the time to be optimized is level one, each main axial flow fan is started when starting, and each standby axial flow fan is started and each main axial flow fan is turned off when the actual running time of each main axial flow fan is equal to the running time, and then the main axial flow fan and the standby axial flow fan are alternately run based on the running time and the actual running time;

[0030] If the rotation strategy level of the time to be optimized is level two, each main axial flow fan is started when starting, and the standby axial flow fan with the shortest cumulative running time is started among the standby axial flow fans, and when the actual running time of the started axial flow fan is equal to the running time, the cumulative running time of each main axial flow fan and the cumulative running time of the standby axial flow fan not started are obtained, each main axial flow fan is sorted in descending order of the cumulative running time to form a first sequence, the first two main axial flow fans in the first sequence are switched to standby and turned off, and the two standby axial flow fans not started are switched to main and started, and then the main axial flow fan and the standby axial flow fan are alternately run based on the running time, the actual running time and the cumulative running time;

[0031] If the rotation strategy level of the to-be-optimized time instant is three, then at startup, each main axial flow fan is started, and two standby axial flow fans with the shortest cumulative running time among the standby axial flow fans are started at the same time; when the actual running time of the started axial flow fan is equal to the available running time, the main axial flow fan with the longest cumulative running time among the main axial flow fans is switched to standby and is powered off, and the standby axial flow fan that is not powered on is switched to main and is powered on; then, based on the available running time, the actual running time and the cumulative running time, the axial flow fans are alternately run;

[0032] If the rotation strategy level of the to-be-optimized time instant is four, then each main axial flow fan and each standby axial flow fan are started at the same time.

[0033] The second aspect embodiment of the present application provides an axial flow fan optimization control system based on adaptive temperature, comprising:

[0034] An acquisition module is configured to acquire, in real time, a combination of main and standby axial flow fans in a hydropower plant, a temperature at a to-be-optimized time instant, a temperature hysteresis at the to-be-optimized time instant, and a temperature change rate at the to-be-optimized time instant.

[0035] A first determination module is configured to determine, according to the temperature at the to-be-optimized time instant, the temperature hysteresis at the to-be-optimized time instant, the temperature change rate at the to-be-optimized time instant, and a preset temperature threshold and temperature change rate double-parameter control model, a number of axial flow fans required to run at the to-be-optimized time instant.

[0036] A second determination module is configured to determine, according to the combination of main and standby axial flow fans, the number of axial flow fans required to run at the to-be-optimized time instant, and a preset rotation strategy, an optimization control strategy of each main and standby axial flow fan at the to-be-optimized time instant.

[0037] The third aspect embodiment of the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method according to the first aspect embodiment is implemented.

[0038] The fourth aspect embodiment of the present application provides a computer readable storage medium, which stores a computer program, and when the program is executed by a processor, the method according to the first aspect embodiment is implemented.

[0039] The technical scheme provided by the embodiments of the present application at least brings the following beneficial effects:

[0040] The application provides an adaptive temperature-based axial flow fan optimization control method and system. The method comprises the following steps: acquiring, in real time, a combination of main and standby axial flow fans in a hydropower plant, a temperature at an optimization time, a temperature difference at the optimization time, and a temperature change rate at the optimization time; determining the number of axial flow fans required to be operated at the optimization time according to the temperature at the optimization time, the temperature difference at the optimization time, the temperature change rate at the optimization time, and a preset temperature threshold and temperature change rate double-parameter control model; and determining an optimization control strategy of the main and standby axial flow fans at the optimization time according to the combination of the main and standby axial flow fans, the number of axial flow fans required to be operated at the optimization time, and a preset rotation strategy. The technical scheme provided by the application improves the operation efficiency of the fan, reduces the power consumption of the power plant, and prolongs the service life of the equipment.

[0041] The additional aspects and advantages of the application will be partially given in the following description, partially become obvious from the following description, or be known by the practice of the application. BRIEF DESCRIPTION OF DRAWINGS

[0042] The above and / or additional aspects and advantages of the application will become apparent and more readily appreciated from the following description, taken in conjunction with the following drawings, in which:

[0043] Figure 1 A flow chart of an adaptive temperature-based axial flow fan optimization control method according to one embodiment of the application;

[0044] Figure 2 A structure diagram of an adaptive temperature-based axial flow fan optimization control system according to one embodiment of the application. DETAILED DESCRIPTION

[0045] The embodiments of the application are described in detail below, examples of which are shown in the accompanying drawings, in which the same or similar reference numerals represent the same or similar elements or elements having the same or similar functions throughout. The embodiments described below are exemplary and are intended to explain the application, and cannot be understood as a limitation of the application.

[0046] The application provides an adaptive temperature-based axial flow fan optimization control method and system.

[0047] An adaptive temperature-based axial flow fan optimization control method and system are described below with reference to the accompanying drawings.

[0048] Embodiment one

[0049] Figure 1 A flowchart of an adaptive temperature-based axial flow fan optimization control method according to an embodiment of the application is shown in FIG. 1. Figure 1 The method comprises the following steps.

[0050] Step 1: Real-time acquisition of the combination of main and standby axial flow fans in a hydropower plant, the temperature at the time to be optimized, the temperature difference at the time to be optimized, and the temperature change rate at the time to be optimized.

[0051] It should be noted that the basic grouping: 6 axial flow fans are divided into 3 groups of redundant units, with 1 main and 1 standby in each group.

[0052] G1: main fan F1, standby fan F4; G2: main fan F3, standby fan F6; G3: main fan F5, standby fan F2.

[0053] Step 2: Determination of the number of axial flow fans required to be operated at the time to be optimized according to the temperature at the time to be optimized, the temperature difference at the time to be optimized, the temperature change rate at the time to be optimized, and a preset temperature threshold and temperature change rate double-parameter control model.

[0054] In the embodiments of the present disclosure, the calculation formula of the preset temperature threshold and temperature change rate double-parameter control model is as follows:

[0055]

[0056] In the formula, T is the temperature at the time to be optimized, and the temperature change rate is the temperature change rate at the time to be optimized. The number of operation of the lower axial flow fan, T is the temperature at the time to be optimized, and AT is the temperature difference at the time to be optimized, which can be 3 ℃, to prevent frequent switching of the fan, is the temperature change rate at the time to be optimized, T1 is the first temperature threshold, T2 is the second temperature threshold, T3 is the third temperature threshold, and is the logical relationship or.

[0057] It should be noted that the first temperature threshold can be 60 ℃, the second temperature threshold can be 65 ℃, and the third temperature threshold can be 70 ℃.

[0058] Step 3: determining the optimization control strategy of each main and standby axial flow fan at the time to be optimized according to the combination of each main and standby axial flow fan, the number of axial flow fans required to be operated at the time to be optimized, and the preset rotation strategy.

[0059] In the embodiments of the present disclosure, the step 3 specifically includes:

[0060] 3.1 obtaining the main axial flow fan and the standby axial flow fan in each combination of main and standby axial flow fans;

[0061] 3.2 collecting the running time of each main axial flow fan and the running time of each standby axial flow fan by using a time counter;

[0062] 3.3 determining the optimization control strategy of each main and standby axial flow fan at the time to be optimized based on the running time of each main axial flow fan, the running time of each standby axial flow fan, the number of axial flow fans required to be operated at the time to be optimized, and the preset rotation strategy.

[0063] Further, the determination of the optimization control strategy of each main and standby axial flow fan at the time to be optimized based on the running time of each main axial flow fan, the running time of each standby axial flow fan, the number of axial flow fans required to be operated at the time to be optimized, and the preset rotation strategy includes:

[0064] 3.3.1 determining the rotation strategy level at the time to be optimized according to the number of axial flow fans required to be operated at the time to be optimized;

[0065] The 3.3.1 includes:

[0066] When the number of axial flow fans required to be operated at the time to be optimized is equal to 3, it is determined that the rotation strategy level at the time to be optimized is level one;

[0067] When the number of axial flow fans required to be operated at the time to be optimized is equal to 4, it is determined that the rotation strategy level at the time to be optimized is level two;

[0068] When the number of axial flow fans required to be operated at the time to be optimized is equal to 5, it is determined that the rotation strategy level at the time to be optimized is level three;

[0069] When the number of axial flow fans required to run at the time to be optimized is equal to 6, it is determined that the rotation strategy level of the time to be optimized is level four.

[0070] 3.3.2 Determining the runable time of each main axial flow fan and each standby axial flow fan according to the rotation strategy level of the time to be optimized;

[0071] The calculation formula of the runable time of each main axial flow fan and each standby axial flow fan is as follows:

[0072]

[0073] In the formula, t S is the runable time of each main axial flow fan and each standby axial flow fan, t0 is a time constant, and S is the number of rotation strategy levels.

[0074] It should be noted that when the running time of the running fan reaches t S , the system automatically switches to the standby fan and resets the counter.

[0075] 3.3.3 Determining the optimization control strategy of each main and standby axial flow fan at the time to be optimized based on the runable time of each main axial flow fan and each standby axial flow fan, the running time of each main axial flow fan, the running time of each standby axial flow fan, and the preset rotation strategy.

[0076] It should be noted that the 3.3.3 specifically includes:

[0077] If the rotation strategy level of the time to be optimized is level one, each main axial flow fan is started when starting, and when the actual running time of each main axial flow fan is equal to the runable time, each standby axial flow fan is started and each main axial flow fan is turned off, and then the main axial flow fan and the standby axial flow fan are alternately run based on the runable time and the actual running time;

[0078] If the rotation strategy level of the time to be optimized is level two, each main axial flow fan is started when starting, and the standby axial flow fan with the shortest cumulative running time among the standby axial flow fans is also started, when the actual running time of the started axial flow fan is equal to the runable time, the cumulative running time of each main axial flow fan and the cumulative running time of the standby axial flow fan not started are obtained, the main axial flow fans are sorted in descending order of the cumulative running time to form a first sequence, the first two main axial flow fans in the first sequence are switched to standby and turned off, and the two standby axial flow fans not started are switched to main and started, and then the main axial flow fan and the standby axial flow fan are alternately run based on the runable time, the actual running time, and the cumulative running time;

[0079] If the rotation strategy level of the time to be optimized is three, then at startup, each main axial flow fan is started, and the two standby axial flow fans with the shortest cumulative running time are started at the same time. When the actual running time of the started axial flow fan is equal to the available running time, the main axial flow fan with the longest cumulative running time is switched to standby and shut down, and the standby axial flow fan that is not started is switched to main and started. Then, based on the available running time, the actual running time and the cumulative running time, the alternate running is performed.

[0080] If the rotation strategy level of the time to be optimized is four, then each main axial flow fan and each standby axial flow fan is started at the same time.

[0081] It should be noted that, (1) S = 1 fan rotation mechanism:

[0082] At S = 1, t is calculated S = 168h, at startup, the main fans F1, F2 and F3 are started in priority. When the running time accumulates to 168 hours, the standby fans F2, F4 and F6 are automatically switched to run.

[0083] (2) S = 2 fan rotation mechanism:

[0084] At S = 2, t is calculated S = 84h, the switching rule in running is that the two main fans with the longest cumulative running time are switched to standby in priority, and the two fans with the shortest cumulative running time are selected from the standby set to be put into operation, so as to ensure that the number of running 4 is unchanged.

[0085] (3) S = 3 switching rule:

[0086] At S = 2, t is calculated S = 56h, the switching rule in running is that the one with the longest cumulative running time in the current running fan is switched to standby state in priority; and the one with the shortest cumulative running time is selected from the standby fan set to be put into operation, so as to ensure that the total number of running 5 remains unchanged.

[0087] S = 4: start all 6 fans, and run in parallel in the main and standby groups.

[0088] It should be noted that when the temperature rises and a new fan needs to be added (such as from 3 to 4), the standby fan with the shortest cumulative running time is selected in priority: i = arg min t i i∈F 备用 , in the formula, F 备用 is the current non-running fan set, and t i is the cumulative running time (hours) of the fan.

[0089] Example: 3 operating (F1, F3, F5) → need to add 1, select the smallest fan from the standby set {F2, F4, F6} to put in.

[0090] When the temperature needs to be reduced (such as from 4 to 3), the fan with the longest cumulative running time is preferred:

[0091] F i = arg maxt i i∈F 运行

[0092] Example: 4 operating (F1, F2, F3, F4) → need to reduce 1, select the largest fan from the standby set {F1, F2, F3, F4} to exit. i

[0093] It should be noted that when any running fan fails (such as abnormal current or speed below threshold), the standby fan is immediately triggered and the fault group rotation timer is reset.

[0094] The adaptive temperature-based axial flow fan optimization control method proposed in this embodiment can start the standby fan in advance when the temperature rises rapidly, improve the adjustment response rate, and avoid the temperature exceeding the alarm value.

[0095] In summary, the adaptive temperature-based axial flow fan optimization control method proposed in this embodiment improves fan operation efficiency, reduces power plant auxiliary power, and prolongs equipment life.

[0096] Embodiment Two

[0097] Figure 2 The structure diagram of an adaptive temperature-based axial flow fan optimization control system according to an embodiment of the present application is shown in FIG. 1, which includes: Figure 2 An acquisition module 100 is configured to acquire in real time the combination of main and standby axial flow fans in the hydropower plant, the temperature at the time to be optimized, the temperature difference at the time to be optimized, and the temperature change rate at the time to be optimized.

[0098] A first determination module 200 is configured to determine the number of axial flow fans to be operated at the time to be optimized according to the temperature at the time to be optimized, the temperature difference at the time to be optimized, the temperature change rate at the time to be optimized, and a preset temperature threshold and temperature change rate double-parameter control model.

[0099] The calculation formula of the preset temperature threshold and temperature change rate double-parameter control model is as follows:

[0100]

[0101] ​​

[0102] wherein, is the temperature T at the time to be optimized and the temperature change rate is the number of operation of the lower axial flow fan, T is the temperature at the time to be optimized, ΔT is the temperature difference at the time to be optimized, is the temperature change rate at the time to be optimized, T1 is the first temperature threshold, T2 is the second temperature threshold, T3 is the third temperature threshold, and is the logical relationship or.

[0103] The second determination module 300 is configured to determine the optimization control strategy of each main and standby axial flow fan at the time to be optimized according to the combination of each main and standby axial flow fan, the number of axial flow fans to be operated at the time to be optimized, and the preset rotation strategy.

[0104] In the embodiments of the present disclosure, the second determination module 300 is further configured to:

[0105] acquire the main axial flow fan and the standby axial flow fan in each combination of main and standby axial flow fans;

[0106] collect the running time of each main axial flow fan and the running time of each standby axial flow fan by using a time counter;

[0107] determine the optimization control strategy of each main and standby axial flow fan at the time to be optimized based on the running time of each main axial flow fan, the running time of each standby axial flow fan, the number of axial flow fans to be operated at the time to be optimized, and the preset rotation strategy.

[0108] Further, the second determination module 300 is further configured to:

[0109] determine the rotation strategy level at the time to be optimized according to the number of axial flow fans to be operated at the time to be optimized;

[0110] determine the operable time of each main axial flow fan and each standby axial flow fan according to the rotation strategy level at the time to be optimized;

[0111] wherein, the calculation formula of the operable time of each main axial flow fan and each standby axial flow fan is as follows:

[0112]

[0113] wherein, t S is the operable time of each main axial flow fan and each standby axial flow fan, t0 is a time constant, and S is the number of rotation strategy levels.

[0114] determine the optimization control strategy of each main and standby axial flow fan at the time to be optimized based on the operable time of each main axial flow fan and each standby axial flow fan, the running time of each main axial flow fan, the running time of each standby axial flow fan, and the preset rotation strategy.

[0115] Further, the second determining module 300 is further used for:

[0116] when the number of axial flow fans required to run at the time to be optimized is equal to 3, judging that the rotation strategy level of the time to be optimized is level one;

[0117] when the number of axial flow fans required to run at the time to be optimized is equal to 4, judging that the rotation strategy level of the time to be optimized is level two;

[0118] when the number of axial flow fans required to run at the time to be optimized is equal to 5, judging that the rotation strategy level of the time to be optimized is level three;

[0119] when the number of axial flow fans required to run at the time to be optimized is equal to 6, judging that the rotation strategy level of the time to be optimized is level four.

[0120] Further, the second determining module 300 is further used for:

[0121] if the rotation strategy level of the time to be optimized is level one, starting each main axial flow fan at start-up, when the actual running time of each main axial flow fan is equal to the running time, controlling each standby axial flow fan to start up and each main axial flow fan to shut down, and then sequentially performing main axial flow fan and standby axial flow fan alternate running based on the running time and the actual running time;

[0122] if the rotation strategy level of the time to be optimized is level two, starting each main axial flow fan and the standby axial flow fan with the shortest cumulative running time among the standby axial flow fans at start-up, when the actual running time of the started axial flow fan is equal to the running time, obtaining the cumulative running time of each main axial flow fan and the cumulative running time of the standby axial flow fan not started, sorting each main axial flow fan in descending order of cumulative running time to form a first sequence, switching the first two main axial flow fans in the first sequence to standby and shutting down, and simultaneously switching the two standby axial flow fans not started to main and starting, and then performing alternate running based on the running time, the actual running time and the cumulative running time;

[0123] if the rotation strategy level of the time to be optimized is level three, starting each main axial flow fan and the two standby axial flow fans with the shortest cumulative running time among the standby axial flow fans at start-up, when the actual running time of the started axial flow fan is equal to the running time, switching the main axial flow fan with the longest cumulative running time among the main axial flow fans to standby and shutting down, and simultaneously switching the standby axial flow fan not started to main and starting, and then performing alternate running based on the running time, the actual running time and the cumulative running time;

[0124] If the rotation strategy level of the time to be optimized is four, the main axial flow fans and the standby axial flow fans are started simultaneously.

[0125] In summary, the embodiment proposes an axial flow fan optimization control system based on adaptive temperature to improve fan operation efficiency, reduce power plant auxiliary power consumption, and prolong equipment life.

[0126] Embodiment three

[0127] To achieve the above-mentioned embodiments, the disclosure further proposes an electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to realize the method of embodiment one.

[0128] Embodiment four

[0129] To achieve the above-mentioned embodiments, the disclosure further proposes a computer-readable storage medium having a computer program stored thereon, wherein the program is executed by a processor to realize the method of embodiment one.

[0130] In the description of the present specification, the description of the terms "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" and the like means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In the present specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any appropriate manner in any one or more embodiments or examples. In addition, the skilled in the art can combine and combine the different embodiments or examples described in the present specification and the features of the different embodiments or examples without contradiction.

[0131] Any process or method descriptions in flow charts or described elsewhere herein can be understood as representing code modules, segments, or portions of code which include one or more executable instructions for implementing specific logic functions (or steps) in the process, and that the various embodiments of preferred implementations of the application can include other implementations with additional or different code modules, segments, or portions of code. The various embodiments of the preferred implementations of the application can also be implemented with one or more hardware components, or with a combination of hardware and software components, including one or more hardware components that support the execution of code.

[0132] Although the embodiments of the present application have been shown and described above, it should be understood that the above-described embodiments are exemplary and should not be construed as limiting the present application, and those skilled in the art can make changes, modifications, replacements and variations to the above-described embodiments within the scope of the present application.

Claims

1. A method for optimized control of an axial flow fan based on adaptive temperature, characterized in that, The method includes: Real-time acquisition of the combination of main and standby axial flow fans in the hydropower plant, the temperature at the time to be optimized, the temperature hysteresis at the time to be optimized, and the temperature change rate at the time to be optimized; The number of axial flow fans required to operate at the time of optimization is determined based on the temperature at the time of optimization, the temperature hysteresis at the time of optimization, the temperature change rate at the time of optimization, and the preset temperature threshold and temperature change rate dual-parameter control model. The optimization control strategy for each main and backup axial flow fan at the time to be optimized is determined based on the combination of each main and backup axial flow fan, the number of axial flow fans required to operate at the time to be optimized, and the preset rotation strategy.

2. The method as described in claim 1, characterized in that, The calculation formula for the preset temperature threshold and temperature change rate dual-parameter control model is as follows: In the formula, The temperature T and the rate of temperature change at the time to be optimized. The number of axial flow fans in operation, T is the temperature at the time to be optimized, and ΔT is the temperature hysteresis at the time to be optimized. Let T1 be the temperature change rate at the time to be optimized, T2 be the first temperature threshold, T3 be the second temperature threshold, and ∪ be the logical OR.

3. The method as described in claim 2, characterized in that, The optimization control strategy for each main and backup axial flow fan at the time to be optimized, determined based on the main and backup axial flow fan combinations, the number of axial flow fans required to operate at the time to be optimized, and the preset rotation strategy, includes: Obtain the primary and standby axial flow fans in each primary and standby axial flow fan combination; The running time of each main axial flow fan and the running time of each standby axial flow fan are collected using a time counter. The optimization control strategy for each main and standby axial flow fan is determined based on the running time of each main axial flow fan, the running time of each standby axial flow fan, the number of axial flow fans required to run at the time to be optimized, and the preset rotation strategy.

4. The method as described in claim 3, characterized in that, The optimization control strategy for each primary and backup axial flow fan at the time to be optimized is determined based on the running time of each primary axial flow fan, the running time of each backup axial flow fan, the number of axial flow fans required to run at the time to be optimized, and a preset rotation strategy. This includes: The rotation strategy level for the time to be optimized is determined based on the number of axial flow fans required to operate at the time to be optimized. The operable time of each primary axial flow fan and each standby axial flow fan is determined based on the rotation strategy level at the time to be optimized. Based on the available operating time of each main axial flow fan and each standby axial flow fan, the operating time of each main axial flow fan, the operating time of each standby axial flow fan, and the preset rotation strategy, the optimization control strategy for each main and standby axial flow fan at the time to be optimized is determined.

5. The method as described in claim 4, characterized in that, The step of determining the rotation strategy level for the time to be optimized based on the number of axial flow fans required to operate at the time to be optimized includes: When the number of axial flow fans required to operate at the time to be optimized is equal to 3, the rotation strategy level of the time to be optimized is determined to be Level 1. When the number of axial flow fans required to operate at the time to be optimized is equal to 4, the rotation strategy level of the time to be optimized is determined to be level two. When the number of axial flow fans required to operate at the time to be optimized is equal to 5, the rotation strategy level of the time to be optimized is determined to be level three. When the number of axial flow fans required to operate at the time to be optimized is equal to 6, the rotation strategy level of the time to be optimized is determined to be level four.

6. The method as described in claim 5, characterized in that, The formulas for calculating the operating time of each main axial flow fan and each standby axial flow fan are as follows: In the formula, t S t0 represents the operating time of each primary axial flow fan and each standby axial flow fan, t0 is the time constant, and S is the number of rotation strategy levels.

7. The method as described in claim 6, characterized in that, The optimization control strategy for each main and backup axial flow fan at the time to be optimized is determined based on the available operating time of each main axial flow fan and each backup axial flow fan, the operating time of each main axial flow fan, the operating time of each backup axial flow fan, and a preset rotation strategy. This includes: If the rotation strategy level for the time to be optimized is Level 1, then each main axial flow fan is started when the machine is powered on. When the actual running time of each main axial flow fan is equal to the available running time, each standby axial flow fan is powered on and each main axial flow fan is powered off. Then, based on the available running time and the actual running time, the main axial flow fans and standby axial flow fans are operated alternately in sequence. If the rotation strategy level for the time to be optimized is level two, then upon startup, all primary axial flow fans are started, and simultaneously, the standby axial flow fan with the shortest cumulative running time among all standby axial flow fans is started. When the actual running time of the started axial flow fan equals the available running time, the cumulative running time of each primary axial flow fan and the cumulative running time of the non-started standby axial flow fans are obtained. The primary axial flow fans are sorted in descending order of cumulative running time to form a first sequence. The first two primary axial flow fans in the first sequence are switched to standby and shut down, while the two non-started standby axial flow fans are switched to primary and started. Then, the fans are alternately operated based on the available running time, the actual running time, and the cumulative running time. If the rotation strategy level for the time to be optimized is level three, then when the machine is started, each main axial flow fan will be started simultaneously, along with the two standby axial flow fans with the shortest cumulative running time. When the actual running time of the started axial flow fan is equal to the available running time, the main axial flow fan with the longest cumulative running time will be switched to standby and shut down. At the same time, the standby axial flow fan that is not started will be switched to main and started. Then, the operation will alternate based on the available running time, the actual running time, and the cumulative running time. If the rotation strategy level for the time to be optimized is level four, then all primary axial flow fans and all standby axial flow fans will be turned on simultaneously.

8. An optimized control system for an axial flow fan based on adaptive temperature, characterized in that, The system includes: The acquisition module is used to acquire in real time the combination of main and standby axial flow fans in the hydropower plant, the temperature at the time to be optimized, the temperature hysteresis at the time to be optimized, and the temperature change rate at the time to be optimized. The first determining module is used to determine the number of axial flow fans to be operated at the time to be optimized based on the temperature at the time to be optimized, the temperature hysteresis at the time to be optimized, the temperature change rate at the time to be optimized, and the preset temperature threshold and temperature change rate dual-parameter control model. The second determining module is used to determine the optimization control strategy for each main and backup axial flow fan at the time to be optimized based on the combination of each main and backup axial flow fan, the number of axial flow fans required to operate at the time to be optimized, and the preset rotation strategy.

9. An electronic device, characterized in that, include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the program, implements the method as described in any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the method as described in any one of claims 1-7.

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