CN114909312B - Fan control method and system of air cooling system and electronic equipment - Google Patents

Fan control method and system of air cooling system and electronic equipment Download PDF

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Publication number
CN114909312B
CN114909312B CN202111680237.5A CN202111680237A CN114909312B CN 114909312 B CN114909312 B CN 114909312B CN 202111680237 A CN202111680237 A CN 202111680237A CN 114909312 B CN114909312 B CN 114909312B
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fan
air cooling
heat exchanger
cooling system
matrix
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CN114909312A (en
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杨晨
刘志远
陈昊阳
潘亮亮
赵欣洋
于晓军
侯亮
陈瑞
刘立军
李早阳
林恒
刘亮
陆洪建
安燕杰
尹琦云
崔鹏
吴明凯
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Super High Voltage Co Of State Grid Ningxia Electric Power Co ltd
Xian Jiaotong University
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Super High Voltage Co Of State Grid Ningxia Electric Power Co ltd
Xian Jiaotong University
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04DNON-POSITIVE-DISPLACEMENT PUMPS
    • F04D27/00Control, e.g. regulation, of pumps, pumping installations or pumping systems specially adapted for elastic fluids
    • F04D27/008Stop safety or alarm devices, e.g. stop-and-go control; Disposition of check-valves
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25DREFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
    • F25D29/00Arrangement or mounting of control or safety devices
    • F25D29/005Mounting of control devices
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B30/00Energy efficient heating, ventilation or air conditioning [HVAC]
    • Y02B30/70Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Physics & Mathematics (AREA)
  • Thermal Sciences (AREA)
  • Cooling Or The Like Of Electrical Apparatus (AREA)

Abstract

The application relates to the technical field of air cooling systems, in particular to a fan control method, a fan control system and electronic equipment of an air cooling system, wherein the method comprises the following steps: calculating the weight corresponding to each fan according to the environmental parameters, the fan state, the fan starting state and the fan operation interval parameters of the fan in each heat exchanger in the air cooling system; and determining the fan corresponding to the maximum weight as a starting fan and controlling operation. By comprehensively considering factors such as surrounding environment and performance states among different fans when the air cooling system operates, and automatically selecting the optimal fan, namely the fan corresponding to the maximum weight, the air cooling system can realize the purposes of maximum heat exchange and automatic regulation and control under different environments, and the operation and maintenance process of the air cooling system can be further simplified.

Description

Fan control method and system of air cooling system and electronic equipment
Technical Field
The application relates to the technical field of air cooling systems, in particular to a fan control method, a fan control system and electronic equipment of an air cooling system.
Background
The air cooling system is widely applied to the fields of chemical production, power transmission, steel forging and the like due to the characteristics of simplicity, easiness in use, low operation and maintenance cost, low water resource requirement and the like. However, the air cooling system is often located in an open environment, so that the air cooling system is easily affected by the ambient temperature, wind direction and wind speed, so that the inlet temperature and pressure of each heat exchanger in the air cooling system are different, the working states of fans in the heat exchangers at different positions are different, and the difference of heat exchange quantity is further caused. Therefore, the fan is used as main power equipment in the air cooling system, and has important significance for optimizing the operation of the fan.
In the initial design stage of the current air cooling system, the design is designed to meet the heat dissipation requirement of equipment under the extreme environment working condition, so that fans in the air cooling system are not all started in winter, transitional seasons and in a state with low heat dissipation requirement, and the running number and the starting mode of the fans are controlled according to the set sequence and the corresponding outlet temperature set values of the air cooling system. At present, the starting sequence of the fans is sequentially selected according to the set fixed sequence, the influence of the surrounding environment and the state of the fans cannot be considered, the self-adaptive adjustment sequence cannot be carried out according to the environment, and the economical efficiency is poor.
Therefore, it is necessary to improve the fan control strategy of the air cooling system, so that the purposes of maximum heat exchange and automatic regulation can be achieved in different environments.
Disclosure of Invention
The application aims to solve the technical problem of providing a fan control method, a fan control system and electronic equipment of an air cooling system aiming at the defects of the prior art.
The technical scheme of the fan control method of the air cooling system is as follows:
calculating the weight corresponding to each fan according to the environmental parameters, the fan state, the fan starting state and the fan operation interval parameters of the fan in each heat exchanger in the air cooling system;
and determining the fan corresponding to the maximum weight as a starting fan and controlling the starting.
The fan control method of the air cooling system has the following beneficial effects:
by comprehensively considering factors such as surrounding environment and performance states among different fans when the air cooling system operates, and automatically selecting the optimal fan, namely the fan corresponding to the maximum weight, the air cooling system can realize the purposes of maximum heat exchange and automatic regulation and control under different environments, and the operation and maintenance process of the air cooling system can be further simplified.
The technical scheme of the fan control system of the air cooling system is as follows:
the system comprises a calculation module and a determination starting module;
the computing module is used for: calculating the weight corresponding to each fan according to the environmental parameters, the fan state, the fan starting state and the fan operation interval parameters of the fan in each heat exchanger in the air cooling system;
and the determining and starting module is used for determining the fan corresponding to the maximum weight as a starting fan and controlling the operation.
The fan control system of the air cooling system has the following beneficial effects:
by comprehensively considering factors such as surrounding environment and performance states among different fans when the air cooling system operates, and automatically selecting the optimal fan, namely the fan corresponding to the maximum weight, the air cooling system can realize the purposes of maximum heat exchange and automatic regulation and control under different environments, and the operation and maintenance process of the air cooling system can be further simplified.
The technical scheme of the electronic equipment is as follows:
the fan control method for the air cooling system comprises a memory, a processor and a program stored in the memory and running on the processor, wherein the processor realizes the steps of the fan control method for the air cooling system according to any one of the above when executing the program.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments of the present application will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a fan control method of an air cooling system according to an embodiment of the present application;
FIG. 2 is a schematic diagram of the relationship of pressure with respect to air volume;
FIG. 3 is a schematic diagram of the locations of the heat exchanger inlet pressure and temperature measurement points;
fig. 4 is a schematic structural diagram of a fan control system of an air cooling system according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
As shown in fig. 1, a fan control method of an air cooling system according to an embodiment of the present application includes the following steps:
s1, calculating the weight corresponding to each fan according to the environmental parameters, the fan state, the fan starting state and the fan operation interval parameters of the fan in each heat exchanger in the air cooling system;
s2, determining the fan corresponding to the maximum weight as a starting fan and controlling the starting.
By comprehensively considering factors such as surrounding environment and performance states among different fans when the air cooling system operates, and automatically selecting the optimal fan, namely the fan corresponding to the maximum weight, the air cooling system can realize the purposes of maximum heat exchange and automatic regulation and control under different environments, and the operation and maintenance process of the air cooling system can be further simplified.
Before S1, the current outlet temperature of the air cooling system is obtained through the outlet temperature monitoring device of the air cooling system, and whether the current outlet temperature is lower than a set threshold value is judged, when the current outlet temperature is higher than the set threshold value, the execution of S1 is started, and when the current outlet temperature is lower than the set threshold value, no fan is started.
Wherein, the execution frequency of S1-S2 is also set, such as executing every 5 minutes and every 10 minutes.
Preferably, in the above technical solution, in S1, calculating the weight corresponding to each fan according to the environmental parameter, the fan state, the fan start state, and the fan operation interval parameter of the fan in each heat exchanger includes:
s10, obtaining an environment parameter matrix alpha according to the environment parameters of each fan;
s11, obtaining a fan state matrix beta according to the fan state of each fan;
s12, obtaining a fan starting matrix gamma according to the fan starting state of each fan;
s13, obtaining a fan operation interval matrix delta according to the fan operation interval parameters of each fan;
s14, calculating a total weight matrix according to the environment parameter matrix alpha, the fan state matrix beta, the fan starting matrix gamma and the fan operation interval matrix delta, and acquiring the weight corresponding to each fan from the total weight matrix.
Preferably, in the above technical solution, before obtaining the environmental parameter matrix α according to the environmental parameters of each fan, that is, before S10, the method further includes:
s010, according to the operation data of each heat exchanger in the air cooling system, obtaining the theoretical heat exchange amount added by each heat exchanger after the fan of each heat exchanger is started, and sequencing all the theoretical heat exchange amounts according to the sequence from large to small to obtain a sequencing sequence;
obtaining an environment parameter matrix alpha according to the environment parameters of the fans in each heat exchanger, namely S10 comprises:
s100, obtaining a first weight alpha corresponding to the ith fan by using a first formula i The method comprises the steps of obtaining a first weight corresponding to each fan, and arranging the first weights corresponding to each fan according to a preset sequence to form an environment parameter matrix alpha with dimension of m multiplied by 1, wherein the first formula is as follows:wherein n is i Representing the serial number of the ith fan in the ordered sequence, and m represents the total number of all fans.
The preset sequence specifically comprises the following steps: the order of the user's manual arrangement, or the order of the ordered sequence.
Preferably, in the above technical solution, the obtaining a fan state matrix β according to the fan state of each fan, that is, S11 includes:
s110, acquiring a second weight of each fan according to the fan state of each fan;
s111, arranging the second weights corresponding to the fans according to a preset sequence to form a fan state matrix beta with dimension of m multiplied by 1.
According to the fan state of any fan, the second weight of the fan is acquired, and the specific process is as follows:
when any fan is in good state, the second weight of the fan is set to be 1 by operation and maintenance personnel, when the fan fails and cannot operate, the second weight of the fan is set to be 0 by the operation and maintenance personnel, and when the operation time of a certain fan needs to be reduced, the operation and maintenance personnel can select a value between 0 and 1 as the second weight of the fan according to specific conditions and actual experience.
Preferably, in the above technical solution, the obtaining a fan start matrix γ according to the fan start state in each heat exchanger, that is, S12 includes:
s120, acquiring a third weight of each fan according to the fan state of each fan, wherein the fan starting state is as follows: an on-running state or a stopped state;
s121, arranging the third weights corresponding to the fans according to the preset sequence to form a fan starting matrix gamma with dimension of m multiplied by 1.
The specific process of acquiring the third weight of any fan according to the fan state of the fan is as follows:
when any fan is running, namely the fan is in a running state, setting the third weight of the fan to be 0; when the fan is not running, namely the fan is in a stop state, setting the third weight of the fan to be 1.
Preferably, in the above technical solution, the obtaining a fan operation interval matrix δ according to the fan operation interval parameter of each fan, that is, S13 includes:
s130, obtaining a fourth weight delta corresponding to the ith fan by using the second formula i And arranging the fourth weights corresponding to the fans according to the preset sequence until the fourth weights corresponding to the fans are obtained, so as to form a fan operation interval matrix delta with dimension of m multiplied by 1, wherein the second formula is as follows:wherein k is i The number of interval fans running for the ith fan twice continuously is represented, wherein i is a positive integer, and m is a positive integer.
Preferably, in the above technical solution, in S14, the calculating the total weight matrix according to the environmental parameter matrix α, the fan state matrix β, the fan start matrix γ, and the fan operation interval matrix δ includes:
s140, calculating the total weight matrix P by using a third formula, wherein the third formula is as follows: p=α×β×γ×δ.
Preferably, in the above technical solution, in S010, the obtaining, according to the operation data of each heat exchanger in the air cooling system, the theoretical heat exchange amount added by each heat exchanger after the fan of each heat exchanger is started includes:
s0100, calculating the theoretical heat exchange quantity Q corresponding to any heat exchanger by using a fourth formula, wherein the fourth formula is as follows: q=a×g×ρ×c p ×(t-t in ) Wherein, the method comprises the steps of, wherein,
wherein DeltaP fan Is the flow pressure drop curve of the fan, f 1 、f 2 、f 3 For the coefficient obtained by fitting the performance curve provided by the fan manufacturer, G is the air quantity, delta P HE C is the flow pressure drop curve of the heat exchanger 1 、C 2 、C 3 For providing coefficients of performance parameter fitting by heat exchanger manufacturer, ΔP is the difference between the heat exchanger outlet pressure and inlet pressure obtained by the pressure monitoring device, A is the heat exchanger area, t in Is inlet air temperature, t is medium temperature in the heat exchanger tube, ρ is air density, c p Is the constant pressure specific heat capacity of air.
As shown in fig. 2, the flow pressure drop curve of the fan and the flow pressure drop curve of the heat exchanger are both the relation of pressure and air quantity, the fan is used for providing power, and the heat exchanger provides resistance; when the power is equal to the resistance, the actual air quantity passing through the heat exchanger is only the actual air quantity; the intersection point of the two curves is the air quantity G;
Δp is a resistance value added by an environmental parameter, and the presence of Δp causes the intersection point in the upper graph to move, resulting in a change in the air volume. Therefore, the theoretical air quantity G which can be obtained after the fan is opened, namely the air quantity G of the application, can be obtained through calculation through the two curves and the additional resistance obtained through monitoring.
The operation data of the heat exchangers include inlet temperature, inlet pressure and outlet pressure of the heat exchangers, as shown in fig. 3, each heat exchanger comprises an air cooling fan and a heat exchange tube bundle, a measuring point for measuring the inlet pressure is arranged at the inlet of each heat exchanger, the measuring point is measured through a pressure sensor, a temperature measuring point for measuring the inlet temperature is arranged at the inlet of each heat exchanger, the measuring point is measured through a temperature sensor, and the measuring point for measuring the outlet pressure is arranged at the outlet of each heat exchanger, and the measuring point is also measured through the pressure sensor.
The fan control method of the air cooling system according to the present application is described below by way of another embodiment:
s20, when the air cooling system is operated for the first time, no fan is operated in the air cooling system, no historical operation data exists, and then:
(1) The outlet temperature of the air cooling system is higher than an initial set value, and a group of fans are required to be added for operation.
(2) Each fan in the air cooling system is numbered, for example, six fans are sequentially numbered A, B, C, D, E, F, that is, the number of the 1 st fan is a, the number of the 2 nd fan is B, the number of the 3 rd fan is C, the number of the 4 th fan is D, the number of the 5 th fan is E, the number of the 6 th fan is F, and the total number m of all fans is 6, at this time, the preset sequence may be: the fan with the number A, the fan with the number B, the fan with the number C, the fan with the number D, the fan with the number E and the fan with the number F are arranged in sequence from front to back;
s21, obtaining a sequencing sequence, specifically:
the working environment, namely the operation data of each heat exchanger in the air cooling system is obtained through the temperature and pressure monitoring device of the air cooling system, and the flow pressure drop curve of the fan is determined to be delta P fan =240.36+0.4964G-0.03679G 2 The method comprises the steps of carrying out a first treatment on the surface of the The flow pressure drop curve of the heat exchanger is delta P HE =-20.122+2.1338G+0.1055G 2 The method comprises the steps of carrying out a first treatment on the surface of the The heat exchange area A of each heat exchanger is 400m 2 The method comprises the steps of carrying out a first treatment on the surface of the The air density ρ is 1kg/m 3 The method comprises the steps of carrying out a first treatment on the surface of the The specific heat capacity of air is 1.056 kJ/(kg.K), the medium temperature t in the heat exchanger tube is 58 ℃, the difference delta P between the outlet pressure and the inlet pressure of the heat exchanger obtained by the air cooling unit monitoring device, the inlet air temperature tin and the calculated air quantity G are obtained, all theoretical heat exchange quantities are ordered according to the order from large to small according to the theoretical heat exchange quantity added by each heat exchanger after the fan of each heat exchanger is started according to a fourth formula, and the ordering sequence is obtained as shown in the following table 1.
Table 1:
as can be seen from table 1, the fans from a to F, the sequences n are 6, 4, 3, 1, 5, 2, respectively, in particular: the number of the 1 st fan with the number A is 6, the number of the 2 nd fan with the number B is 4, the number of the 3 rd fan with the number C is 3, the number of the 4 th fan with the number D is 1, the number of the 5 th fan with the number E is 5, and the number of the 6 th fan with the number F is 2.
S22, calculating an environment parameter matrix alpha, specifically:
obtaining a first weight alpha corresponding to an ith fan by using a first formula i Until a first weight corresponding to each fan is obtained, and the corresponding fans are aligned according to a preset sequenceThe first weights corresponding to each fan are arranged to form an environment parameter matrix alpha with dimension of m multiplied by 1, and the first formula is as follows:wherein n is i Representing the serial number of the ith fan in the ordered sequence, and m represents the total number of all fans. Then:
the first weights calculated from A to F are 0.4344, 0.6063, 0.7164, 1.0000, 0.5132, 0.8464 respectively, then the environment parameter matrix α= [0.4344 0.6063 0.7164 1.0000 0.5132 0.8464 ]] T
S23, acquiring a fan state matrix beta, and specifically:
according to the state of each group of fans, the operation and maintenance personnel sets the weight of each group of fans to obtain a fan state matrix beta, in the example, the 4 th fan with the number of D is poor in state, the running times are required to be reduced, the second weight of the 4 th fan with the number of D is reset to 0.4, the second weights of the other fans are all 1, the second weights corresponding to each fan are arranged according to a preset sequence, and the fan state matrix beta= [1.0000 1.00001.0000 0.4000 1.00001.0000 ] is obtained] T
S24, acquiring a fan starting matrix gamma, and specifically:
in this example, all fans are not running, and if the third weight of each fan is 1, the fan start matrix γ= [1.0000 1.00001.0000 1.00001.0000 1.0000]] T
S25, acquiring a fan operation interval matrix delta, and specifically:
because the air-cooled system in this example is first operated, there is no historical operating data. Then from a to F, each fan has the same fourth weight. The running interval matrix δ= [1.0000 1.00001.0000 1.00001.0000 1.0000]T;
s26, calculating a total weight matrix, specifically:
calculating the total weight matrix P by using a third formula, wherein the third formula is as follows: p=α×β×γ×δ. Then:
and S27, determining the fan corresponding to the maximum weight as a starting fan and controlling the operation, and determining the fan corresponding to 0.716 as the starting fan and controlling the operation, namely determining the 6 th fan with the number F as the starting fan, if 0.8464 is the maximum weight, according to the calculated total weight matrix P.
In another embodiment, in particular:
s30, the air cooling system is not operated for the first time, at the moment, the fan C, B is operated, historical operation data exist, the historical starting sequence of the fan is A, D, F, E, C, B, and then:
(1) The outlet temperature of the air cooling system is higher than an initial set value, and a group of fans are required to be added for operation.
(2) Numbering each group of fans in the air cooling system. The six groups of fans are numbered A, B, C, D, E, F in sequence; for example, the serial numbers of the six fans are set as A, B, C, D, E, F in turn, that is, the serial number of the 1 st fan is a, the serial number of the 2 nd fan is B, the serial number of the 3 rd fan is C, the serial number of the 4 th fan is D, the serial number of the 5 th fan is E, the serial number of the 6 th fan is F, the total number m of all fans is 6, and the preset sequence may be: the fan with the number A, the fan with the number B, the fan with the number C, the fan with the number D, the fan with the number E and the fan with the number F are arranged in sequence from front to back;
s31, obtaining a sequencing sequence, specifically:
the working environment, namely the operation data of each heat exchanger in the air cooling system is obtained through the temperature and pressure monitoring device of the air cooling system, and the flow pressure drop curve of the fan is determined to be delta P fan =240.36+0.4964G-0.03679G 2 The method comprises the steps of carrying out a first treatment on the surface of the The flow pressure drop curve of the heat exchanger is delta P HE =-20.122+2.1338G+0.1055G 2 The method comprises the steps of carrying out a first treatment on the surface of the The heat exchange area A of each heat exchanger is 400m 2 The method comprises the steps of carrying out a first treatment on the surface of the The air density ρ is 1kg/m 3 The method comprises the steps of carrying out a first treatment on the surface of the The specific heat capacity of the air is 1.056 kJ/(kg.K), the medium temperature t in the heat exchanger tube is 58 ℃, and the air cooling unit is obtained by a monitoring deviceThe difference Δp between the outlet pressure and the inlet pressure of the heat exchangers, the inlet air temperature tin, and the calculated air volume G, and the theoretical heat exchange amount added by each heat exchanger after the fan of each heat exchanger is started according to the fourth formula, and all the theoretical heat exchange amounts are ordered in the order from large to small to obtain an ordering sequence, as shown in the following table 2.
Table 2:
as can be seen from table 2, the fans from a to F, the sequences n are 6, 4, 3, 1, 5, 2, respectively, in particular: the number of the 1 st fan with the number A is 6, the number of the 2 nd fan with the number B is 4, the number of the 3 rd fan with the number C is 3, the number of the 4 th fan with the number D is 1, the number of the 5 th fan with the number E is 5, and the number of the 6 th fan with the number F is 2.
S32, calculating an environment parameter matrix alpha, specifically:
obtaining a first weight alpha corresponding to an ith fan by using a first formula i The method comprises the steps of obtaining a first weight corresponding to each fan, and arranging the first weights corresponding to each fan according to a preset sequence to form an environment parameter matrix alpha with dimension of m multiplied by 1, wherein the first formula is as follows:wherein n is i Representing the serial number of the ith fan in the ordered sequence, and m represents the total number of all fans. Then:
the first weights calculated from A to F are 0.4344, 0.6063, 0.7164, 1.0000, 0.5132, 0.8464 respectively, then the environment parameter matrix α= [0.4344 0.6063 0.7164 1.0000 0.5132 0.8464 ]] T
S23, acquiring a fan state matrix beta, and specifically:
according to the state of each group of fans, the operation and maintenance personnel sets the weight of each group of fans to obtain a fan state matrix beta, in the example, the firstIf the states of 4 fans with the number of D are bad and the running times are required to be reduced, the second weight of the 4 th fan with the number of D is set to 0.4, the second weights of the other fans are all 1, and a fan state matrix beta= [1.0000 1.00001.0000 0.4000 1.00001.0000 ]] T
S24, acquiring a fan starting matrix gamma, and specifically:
in this example, the 2 nd fan, i.e. the number B, and the 3 rd fan, i.e. the number C, are running, and the third weights of both fans are 0; if all other fans are not operated, the third weights of the fans are 1, and the fan starting matrix gamma= [1.0000001.00001.0000 1.0000]] T
S25, acquiring a fan operation interval matrix delta, and specifically:
from A to F, the number k of fans at intervals between the latest operation of the fans from A to F is 5, 0, 1, 4, 2 and 3. Calculating a fourth weight corresponding to each fan according to the second formula, wherein from A to F, the fourth weight of each fan is respectively as follows: 0.8809, 0.0473, 0.1191, 0.7312, 0.2688, 0.5000, then the running interval matrix δ= [0.8809 0.0473 0.1191 0.7312 0.2688 0.5000 ]] T
S25, calculating a total weight matrix, specifically:
calculating the total weight matrix P by using a third formula, wherein the third formula is as follows: p=α×β×γ×δ, then:
s26, determining the fan corresponding to the maximum weight as a starting fan and controlling the operation, and determining the fan corresponding to 0.4232 as the starting fan and controlling the operation if 0.4232 is the maximum weight as the calculated total weight matrix P, namely determining the 6 th fan with the number F as the starting fan.
In the above embodiments, although steps S1, S2, etc. are numbered, only specific embodiments of the present application are given, and those skilled in the art may adjust the execution sequence of S1, S2, etc. according to the actual situation, which is also within the scope of the present application, and it is understood that some embodiments may include some or all of the above embodiments.
As shown in fig. 4, a fan control system 200 of an air cooling system according to an embodiment of the present application includes a calculation module 210 and a determination starting module 220;
the computing module 210 is configured to: calculating the weight corresponding to each fan according to the environmental parameters, the fan state, the fan starting state and the fan operation interval parameters of the fan in each heat exchanger in the air cooling system;
the determining and starting module 220 is configured to determine a fan corresponding to the maximum weight as a starting fan and control starting.
By comprehensively considering factors such as surrounding environment and performance states among different fans when the air cooling system operates, and automatically selecting the optimal fan, namely the fan corresponding to the maximum weight, the air cooling system can realize the purposes of maximum heat exchange and automatic regulation and control under different environments, and the operation and maintenance process of the air cooling system can be further simplified.
Preferably, in the above technical solution, the calculating module 210 is specifically configured to:
obtaining an environmental parameter matrix alpha according to the environmental parameters of each fan;
obtaining a fan state matrix beta according to the fan state of each fan;
obtaining a fan starting matrix gamma according to the fan starting state of each fan;
obtaining a fan operation interval matrix delta according to the fan operation interval parameters of each fan;
and calculating a total weight matrix according to the environment parameter matrix alpha, the fan state matrix beta, the fan starting matrix gamma and the fan operation interval matrix delta, and acquiring the weight corresponding to each fan from the total weight matrix.
Preferably, in the above technical solution, the system further includes a calculation ordering module, where the calculation ordering module is configured to:
according to the operation data of each heat exchanger in the air cooling system, the theoretical heat exchange amount added by each heat exchanger after the fan of each heat exchanger is started is obtained, and all the theoretical heat exchange amounts are sequenced according to the sequence from large to small to obtain a sequencing sequence;
the computing module 210 includes a first computing module for: obtaining a first weight alpha corresponding to an ith fan by using a first formula i And arranging the first weights corresponding to each fan according to the sequence of the sequencing sequence until the first weights corresponding to each fan are obtained, so as to form an environment parameter matrix alpha with dimension of m multiplied by 1, wherein the first formula is as follows:wherein n is i Representing the serial number of the ith fan in the ordered sequence, and m represents the total number of all fans.
Preferably, in the above technical solution, the computing module 210 includes a second computing module, where the second computing module is configured to:
acquiring a second weight of each fan according to the fan state of each fan;
and arranging the second weights corresponding to each fan according to the sequence of the ordering sequence to form a fan state matrix beta with dimension of m multiplied by 1.
Preferably, in the above technical solution, the computing module 210 includes a third computing module, where the third computing module is configured to:
according to the fan state of each fan, obtaining a third weight of each fan, wherein the fan starting state is as follows: an on-running state or a stopped state;
and arranging the third weights corresponding to each fan according to the sequence of the sequencing sequence to form a fan starting matrix gamma with dimension of m multiplied by 1.
Preferably, in the above technical solution, the computing module 210 includes a fourth computing module, where the fourth computing module is configured to: obtaining a fourth weight delta corresponding to the ith fan by using the second formula i And arranging the fourth weights corresponding to each fan according to the sequence of the sequencing sequence until the fourth weights corresponding to each fan are obtained, so as to form a fan operation interval matrix delta with dimension of m multiplied by 1, wherein the second formula is as follows:wherein k is i The number of interval fans running twice continuously for the ith fan is shown.
Preferably, in the foregoing technical solution, the computing module 210 includes a fifth computing module, where the fifth computing module is configured to:
calculating the total weight matrix P by using a third formula, wherein the third formula is as follows: p=α×β×γ×δ.
Preferably, in the above technical solution, the calculation ordering module is specifically configured to:
calculating the theoretical heat exchange quantity Q corresponding to any heat exchanger by using a fourth formula, wherein the fourth formula is as follows: q=a×g×ρ×c p ×(t-t in ) Wherein, the method comprises the steps of, wherein,wherein DeltaP fan Is the flow pressure drop curve of the fan, f 1 、f 2 、f 3 For the coefficient obtained by fitting the performance curve provided by the fan manufacturer, G is the air quantity, delta P HE C is the flow pressure drop curve of the heat exchanger 1 、C 2 、C 3 For providing coefficients of performance parameter fitting by heat exchanger manufacturer, ΔP is the difference between the heat exchanger outlet pressure and inlet pressure obtained by the pressure monitoring device, A is the heat exchanger area, t in Is inlet air temperature, t is medium temperature in the heat exchanger tube, ρ is air density, c p Is the constant pressure specific heat capacity of air.
The steps for implementing the corresponding functions of the parameters and the unit modules in the fan control system 200 of the air cooling system according to the present application may refer to the parameters and the steps in the embodiments of the fan control method of the air cooling system according to the present application, which are not described herein.
In another embodiment, the air cooling system monitoring device comprises a temperature sensor, a processor and a controller, wherein each heat exchanger comprises an air cooling fan and a heat exchange tube bundle, a measuring point for measuring inlet pressure is arranged at the inlet of each heat exchanger, the inlet pressure is measured through the pressure sensor, the temperature electricity measuring point for measuring inlet temperature is arranged at the inlet of each heat exchanger, the inlet temperature is measured through the temperature sensor, the measuring point for measuring outlet pressure is arranged at the outlet of each heat exchanger, the outlet pressure is measured through the pressure sensor, and the operating data are sent to the processor.
The electronic equipment comprises a memory, a processor and a program stored in the memory and running on the processor, wherein the processor realizes the steps of the fan control method of the air cooling system implemented by any one of the above steps when executing the program.
The electronic device may be a computer, a mobile phone, or the like, and the program is corresponding to computer software or mobile phone APP, and the parameters and steps in the embodiment of the fan control method of the air cooling system are referred to for the parameters and steps in the electronic device of the present application, which are not described herein.
Those skilled in the art will appreciate that the present application may be implemented as a system, method, or computer program product.
Accordingly, the present disclosure may be embodied in the following forms, namely: either entirely hardware, entirely software (including firmware, resident software, micro-code, etc.), or entirely software, or a combination of hardware and software, referred to herein generally as a "circuit," module "or" system. Furthermore, in some embodiments, the application may also be embodied in the form of a computer program product in one or more computer-readable media, which contain computer-readable program code.
Any combination of one or more computer readable media may be employed. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium can be, for example, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of the computer-readable storage medium include an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
While embodiments of the present application have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the application, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the application.

Claims (4)

1. The fan control method of the air cooling system is characterized by comprising the following steps of:
calculating the weight corresponding to each fan according to the environmental parameters, the fan state, the fan starting state and the fan operation interval parameters of the fan in each heat exchanger in the air cooling system; comprising the following steps:
according to the operation data of each heat exchanger in the air cooling system, the theoretical heat exchange amount added by each heat exchanger after the fan of each heat exchanger is started is obtained, and all the theoretical heat exchange amounts are sequenced according to the sequence from large to small to obtain a sequencing sequence;
obtaining an environment parameter matrix alpha according to the environment parameters of the fans in each heat exchanger; comprising the following steps:
obtaining a first weight alpha corresponding to an ith fan by using a first formula i The method comprises the steps of obtaining a first weight corresponding to each fan, and arranging the first weights corresponding to each fan according to a preset sequence to form an environment parameter matrix alpha with dimension of m multiplied by 1, wherein the first formula is as follows:wherein n is i Representing the serial number of the ith fan in the sequencing sequence, and m represents the total number of all fans;
obtaining a fan state matrix beta according to the fan state of each fan; comprising the following steps:
acquiring a second weight of each fan according to the fan state of each fan;
arranging the second weights corresponding to each fan according to the preset sequence to form a fan state matrix beta with dimension of m multiplied by 1;
obtaining a fan starting matrix gamma according to the fan starting state of each fan; comprising the following steps:
according to the fan state of each fan, obtaining a third weight of each fan, wherein the fan starting state is as follows: an on-running state or a stopped state;
arranging the third weights corresponding to each fan according to the preset sequence to form a fan starting matrix gamma with dimension of m multiplied by 1;
obtaining a fan operation interval matrix delta according to the fan operation interval parameters of each fan; comprising the following steps:
obtaining a fourth weight delta corresponding to the ith fan by using the second formula i And arranging the fourth weights corresponding to the fans according to the preset sequence until the fourth weights corresponding to the fans are obtained, so as to form a fan operation interval matrix delta with dimension of m multiplied by 1, wherein the second formula is as follows:wherein k is i Interval wind for representing continuous twice operation of ith fanA machine number;
calculating a total weight matrix according to the environment parameter matrix alpha, the fan state matrix beta, the fan starting matrix gamma and the fan operation interval matrix delta, wherein the total weight matrix comprises the following components:
calculating the total weight matrix P by using a third formula, wherein the third formula is as follows: p=α×β×γ×δ;
acquiring the weight corresponding to each fan from the total weight matrix;
and determining the fan corresponding to the maximum weight as a starting fan and controlling the starting.
2. The method for controlling a fan of an air cooling system according to claim 1, wherein the obtaining the theoretical heat exchange amount added by each heat exchanger after the fan of each heat exchanger is started according to the operation data of each heat exchanger in the air cooling system comprises:
calculating the theoretical heat exchange quantity Q corresponding to any heat exchanger by using a fourth formula, wherein the fourth formula is as follows: q=a×g×ρ×c p ×(t-t in ) Wherein, the method comprises the steps of, wherein,wherein DeltaP fan Is the flow pressure drop curve of the fan, f 1 、f 2 、f 3 For the coefficient obtained by fitting the performance curve provided by the fan manufacturer, G is the air quantity, delta P HE C is the flow pressure drop curve of the heat exchanger 1 、C 2 、C 3 For providing coefficients of performance parameter fitting by heat exchanger manufacturer, ΔP is the difference between the heat exchanger outlet pressure and inlet pressure obtained by the pressure monitoring device, A is the heat exchanger area, t in Is inlet air temperature, t is medium temperature in the heat exchanger tube, ρ is air density, c p Is the constant pressure specific heat capacity of air.
3. A fan control system of an air cooling system, characterized by comprising a calculation module and a determination starting module for executing the fan control method of the air cooling system of claim 2;
the computing module is used for: calculating the weight corresponding to each fan according to the environmental parameters, the fan state, the fan starting state and the fan operation interval parameters of the fan in each heat exchanger in the air cooling system;
and the determining and starting module is used for determining the fan corresponding to the maximum weight as a starting fan and controlling the operation.
4. An electronic device comprising a memory, a processor, and a program stored on the memory and running on the processor, wherein the processor, when executing the program, implements the steps of a fan control method of an air cooling system according to claim 1 or 2.
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0004448A1 (en) * 1978-03-23 1979-10-03 Armstrong Engineering Limited Method and apparatus for control of a cooling system
CN107328026A (en) * 2017-07-31 2017-11-07 珠海格力电器股份有限公司 Blower control method and device, air-conditioner outdoor unit
CN107477802A (en) * 2017-09-11 2017-12-15 广东美的暖通设备有限公司 Air conditioner and its indoor set control device and control method
CN112503666A (en) * 2020-12-07 2021-03-16 珠海格力电器股份有限公司 Natural cooling unit control method, device and equipment and cooling system
CN112664468A (en) * 2020-11-27 2021-04-16 北京华能新锐控制技术有限公司 Fan control system fault-tolerant control method considering random time delay

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0004448A1 (en) * 1978-03-23 1979-10-03 Armstrong Engineering Limited Method and apparatus for control of a cooling system
CN107328026A (en) * 2017-07-31 2017-11-07 珠海格力电器股份有限公司 Blower control method and device, air-conditioner outdoor unit
CN107477802A (en) * 2017-09-11 2017-12-15 广东美的暖通设备有限公司 Air conditioner and its indoor set control device and control method
CN112664468A (en) * 2020-11-27 2021-04-16 北京华能新锐控制技术有限公司 Fan control system fault-tolerant control method considering random time delay
CN112503666A (en) * 2020-12-07 2021-03-16 珠海格力电器股份有限公司 Natural cooling unit control method, device and equipment and cooling system

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