CN113108643A - Heat exchange system based on micro-channel heat exchanger and computer readable storage medium - Google Patents

Heat exchange system based on micro-channel heat exchanger and computer readable storage medium Download PDF

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CN113108643A
CN113108643A CN202110299507.1A CN202110299507A CN113108643A CN 113108643 A CN113108643 A CN 113108643A CN 202110299507 A CN202110299507 A CN 202110299507A CN 113108643 A CN113108643 A CN 113108643A
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cooling bin
water
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吕佳潞
王浩
杨金钢
买嘉琦
张政
王一博
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Jilin Jianzhu University
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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F28—HEAT EXCHANGE IN GENERAL
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    • F28F27/00—Control arrangements or safety devices specially adapted for heat-exchange or heat-transfer apparatus
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Abstract

The invention belongs to the technical field of heat exchange, and discloses a heat exchange system based on a microchannel heat exchanger and a computer readable storage medium, wherein the heat exchange system comprises: the system comprises a water inlet module, a cooling bin parameter acquisition module, a cooling bin pressure acquisition module, a water inlet amount calculation module, a central control module, a water amount early warning module, a heat exchange module, a temperature monitoring module, a heat exchange termination module and a condensation recovery module. According to the invention, the water inflow in the cooling bin is calculated by acquiring the parameters of the cooling bin and the pressure of the cooling bin, and the early warning is carried out according to the calculation result of the water inflow in the cooling bin, so that the waste caused by the overflow of water in the cooling bin or the damage to a heat exchange device is avoided, the effect of cooling and heat exchange is better, and the heat exchange is more conveniently realized; the heat exchange is realized by driving the cooling water in the cooling bin, the heat exchange effect is better, the heat exchange cost is low, the cooling water is recycled after the heat exchange, and the resources are fully saved. The invention can realize effective heat exchange and has low cost.

Description

Heat exchange system based on micro-channel heat exchanger and computer readable storage medium
Technical Field
The invention belongs to the technical field of heat exchange, and particularly relates to a heat exchange system based on a micro-channel heat exchanger and a computer readable storage medium.
Background
At present, with the development of science and technology, high-power instruments and equipment are gradually developed towards large scale and high density, and both the heating of electronic equipment and the friction heat generation of mechanical motion can cause the damage of the equipment and the reduction of the production quality.
At present, the processing modes for local hot spots are mainly divided into two categories: (1) the cooling capacity is increased integrally by increasing the air supply quantity of the system or reducing the air supply temperature and the like, and the temperature of the environment is reduced comprehensively; (2) the air flow organization form of the machine room is adjusted by the modes of sealing the cold channel, accurately supplying air, supplying air between columns and the like, so that the air flow organization form is directly acted on a plurality of or single equipment, and the utilization efficiency of cold energy is improved. In addition, with the development of science and technology, the density of heat flow carried away by air cooling cannot be matched with the increase of the heat productivity of equipment gradually.
The microchannel cooling is a novel cooling mode for exchanging heat of a cooled object through the wall surface of the channel and a cooling medium flowing in the channel, and has the advantages that: high heat transfer coefficient, high surface area-volume ratio, low heat transfer temperature difference, high efficiency fixed point cooling capability, capability of being combined with the existing chip manufacturing process and the like. However, in the prior art, the control method of the microchannel cooling device is complex, and accurate heat exchange is difficult to realize.
Through the above analysis, the problems and defects of the prior art are as follows: in the prior art, a control method of a micro-channel cooling device is complex and accurate heat exchange is difficult to realize.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a heat exchange system based on a micro-channel heat exchanger and a computer readable storage medium.
The invention is realized in this way, a heat exchange system based on a micro-channel heat exchanger, comprising:
the water inlet module is connected with the central control module and used for conveying cooling water into the cooling bin by starting the water inlet pump;
the cooling bin parameter acquisition module is connected with the central control module and used for acquiring cooling bin parameters through a cooling bin parameter acquisition program to obtain the cooling bin parameters; the cooling bin parameters comprise the specification and the volume of the cooling bin;
the cooling bin pressure acquisition module is connected with the central control module and used for acquiring real-time pressure information of the cooling bin through a pressure sensor arranged at the bottom end inside the cooling bin to obtain total pressure information of water in the cooling bin;
the water inflow calculation module is connected with the central control module and used for calculating the water inflow inside the cooling bin according to the total pressure information of the water in the cooling bin through a water inflow calculation program to obtain the water inflow information inside the cooling bin;
the central control module is connected with the water inlet module, the cooling bin parameter acquisition module, the cooling bin pressure acquisition module, the water inlet amount calculation module, the water amount early warning module, the heat exchange module, the temperature monitoring module, the heat exchange termination module and the condensation recovery module, and is used for controlling the operation of each connection module through the main control computer and ensuring the normal operation of each module.
Further, the heat exchange system based on the micro-channel heat exchanger also comprises:
the water quantity early warning module is connected with the central control module and is used for carrying out water quantity early warning when the water inflow in the cooling bin is close to the volume of the cooling bin according to the collected cooling bin parameters and the water inflow information in the cooling bin through a water quantity early warning program;
the heat exchange module is connected with the central control module and used for driving the cooling water in the cooling bin through the driving motor so as to enable the cooling water to move in the cooling bin for heat exchange;
the temperature monitoring module is connected with the central control module and is used for monitoring the temperature of the water in the cooling bin through the temperature sensor to obtain the temperature of the water in the cooling bin;
the heat exchange termination module is connected with the central control module and is used for terminating heat exchange when the temperature of the water in the cooling bin reaches a threshold value through a heat exchange termination program;
and the condensation recovery module is connected with the central control module and is used for condensing the water in the cooling bin through the condenser, and recovering the water in the cooling bin when the temperature of the water in the cooling bin is reduced to a preset value, so that the water is reused.
Further, the obtaining of the cooling bin parameters through the cooling bin parameter obtaining program to obtain the cooling bin parameters includes:
(1) determining a database in which the cooling bin parameters are located, the database comprising one or more data elements;
(2) acquiring information of one or more cooling bin parameters corresponding to the data elements on the basis of the extraction path of the information corresponding to the data elements; the information of the large-diameter pipe network welding part at least comprises the name of a cooling bin;
(3) associating information of one or more of the cooling bin parameters by name of the corresponding cooling bin based on the name of the cooling bin;
(4) obtaining corresponding structured data based on the associated information; converting the structured data based on the corresponding relationship between the data elements and the information of the cooling bin parameters to obtain standard data corresponding to the data elements;
(5) and based on the names of the cooling bins, respectively storing the standard data corresponding to the same name of the cooling bin in association with the data elements corresponding to the standard data.
Further, the calculation of the water inflow inside the cooling bin according to the total pressure information of the water in the cooling bin by the water inflow calculation program comprises: and carrying out normalization processing on the total pressure information of the water in the cooling bin to obtain normalized data, and calculating the water inflow inside the cooling bin according to the normalized data.
Further, the normalizing the total pressure information of the water in the cooling bin to obtain normalized data includes:
receiving rule parameters related to a total pressure information normalization strategy of water in a cooling bin input by a user;
generating a program code corresponding to the total pressure information normalization strategy of the water in the cooling bin according to the rule parameters and a preset code generation rule;
and operating a program code corresponding to the total pressure information normalization strategy of the water in the cooling bin, carrying out normalization judgment on the total pressure information of the water in the cooling bin in a preset total pressure data set of the water in the cooling bin, and clustering the same data.
Further, the clustering the same data includes:
classifying the data according to a fuzzy clustering algorithm, and calculating a clustering center of each class;
FCM combines n vectors xkDividing the data into c fuzzy classes, and calculating the clustering center c of each classiTo minimize the fuzzy objective function;
the objective function of fuzzy clustering is:
Figure BDA0002984123350000041
wherein d isij＝||ci-xjI is the Euclidean distance of the sample vector from the center point, ciIs the center of the ith class, m is the number of samples, and j is the attribute column; the calculation formula of each cluster center is as follows:
Figure BDA0002984123350000042
calculating a membership value through a membership function to form a fuzzy matrix;
the membership function is:
Figure BDA0002984123350000043
selecting a training sample from the fuzzy matrix as the training input of the generalized neural network;
selecting m samples with the minimum distance from the central value in the fuzzy matrix as training samples, and using n x m groups of data as the training input of the generalized neural network; n is the number of classified intrusion data according to a fuzzy clustering algorithm, and m is data between 1 and 5;
predicting and outputting the type of intrusion data according to the training input of the generalized neural network;
data are subdivided into n classes, and a sample closest to the central value of each class is found out to be used as a training sample; and obtaining a clustering result.
Further, the generalized neural network is composed of four-level structures of an input layer, a mode layer, a summation layer and an output layer.
Further, the central control module includes: grey prediction control unit, fuzzy logic control unit and PID control unit.
Further, the gray prediction control module is used for controlling through a gray model;
the grey model is a dynamic model composed of a set of grey differential equations, and the grey model GM (1,1) model is established, and the modeling comprises the following steps:
X(0)for the original non-negative data sequence: x(0)＝[x(0)(1),x(0)(2),...,x(0)(n)]To X(0)Performing an accumulation generation operation to obtain X(0)1-AGO sequence of (A), X(1)＝[x(1)(1),x(1)(2),...,x(1)(n)]Wherein, in the step (A),
Figure BDA0002984123350000051
for sequence X(1)Performing adjacent mean value generation operation to obtain X(1)Is generated by the adjacent mean generation sequence Z(1)Wherein z is(1)(k)＝0.5[x(1)(k)+x(1)(k-1)],k＝1,2,...,n；
The gray differential equation for GM (1,1) is obtained: x is the number of(0)(k)+az(1)(k) U, and the corresponding whitening equation:
Figure BDA0002984123350000052
wherein a is a development coefficient, and u is a gray effect amount;
and (3) solving a and u: using least squares
Figure BDA0002984123350000053
Wherein the content of the first and second substances,
Figure BDA0002984123350000054
Yn＝[x(0)(2)x(0)(3)...x(0)(n)]t; the solution of the whitening equation is
Figure BDA0002984123350000055
The time response sequence of the corresponding gray differential equation is: i.e. the value at time k
Figure BDA0002984123350000056
To the sequence
Figure BDA0002984123350000057
Performing an accumulation and subtraction operation, i.e. performing the inverse operation of the accumulation and generation, and recording the operation as IAGO, to obtain a prediction sequence
Figure BDA0002984123350000058
Wherein the content of the first and second substances,
Figure BDA0002984123350000059
the predicted value at the time k + d is:
Figure BDA00029841233500000510
d is the system lag time.
It is another object of the present invention to provide a computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for applying the microchannel heat exchanger based heat exchange system when executed on an electronic device.
It is another object of the present invention to provide a computer readable storage medium storing instructions that, when executed on a computer, cause the computer to employ the microchannel heat exchanger based heat exchange system.
By combining all the technical schemes, the invention has the advantages and positive effects that: according to the invention, the water inflow in the cooling bin is calculated by acquiring the parameters of the cooling bin and the pressure of the cooling bin, and the early warning is carried out according to the calculation result of the water inflow in the cooling bin, so that the waste caused by the overflow of water in the cooling bin or the damage to a heat exchange device is avoided, the effect of cooling and heat exchange is better, and the heat exchange is more conveniently realized; the heat exchange is realized by driving the cooling water in the cooling bin, the heat exchange effect is better, the heat exchange cost is low, the cooling water is recycled after the heat exchange, and the resources are fully saved. The system has simple structure, can realize effective heat exchange and has low cost.
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In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained from the drawings without creative efforts.
FIG. 1 is a flow chart of a heat exchange method based on a micro-channel heat exchanger according to an embodiment of the present invention
Fig. 2 is a structural block diagram of a heat exchange system based on a microchannel heat exchanger according to an embodiment of the present invention.
Fig. 3 is a flowchart of obtaining parameters of a cooling chamber by a cooling chamber parameter obtaining program according to an embodiment of the present invention.
Fig. 4 is a flowchart of normalized data obtained by performing normalization processing on total pressure information of water in the cooling bin according to the embodiment of the present invention.
Fig. 5 is a block diagram of a central control module according to an embodiment of the present invention.
In the figure: 1. a water inlet module; 2. a cooling bin parameter acquisition module; 3. a cooling bin pressure acquisition module; 4. a water inflow calculation module; 5. a central control module; 6. a water quantity early warning module; 7. a heat exchange module; 8. a temperature monitoring module; 9. a heat exchange termination module; 10. a condensation recovery module; 5-1, a grey prediction control unit; 5-2, a fuzzy logic control unit; 5-3 and a PID control unit.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In view of the problems in the prior art, the present invention provides a heat exchange system based on a microchannel heat exchanger, which is described in detail below with reference to the accompanying drawings.
As shown in fig. 1, a heat exchange method based on a microchannel heat exchanger provided by an embodiment of the present invention includes the following steps:
s101, conveying cooling water into a cooling bin by starting a water inlet pump through a water inlet module; obtaining the parameters of the cooling bin by a parameter obtaining module of the cooling bin by utilizing a parameter obtaining program of the cooling bin to obtain the parameters of the cooling bin; the cooling bin parameters comprise the specification and the volume of the cooling bin;
s102, acquiring real-time pressure information of the cooling bin by using a pressure sensor arranged at the bottom end in the cooling bin through a cooling bin pressure acquisition module to obtain total pressure information of water in the cooling bin; calculating the water inflow inside the cooling bin by a water inflow calculation module according to the total pressure information of the water in the cooling bin by using a water inflow calculation program to obtain the water inflow information inside the cooling bin;
s103, controlling the operation of each connecting module by using a main control computer through a central control module to ensure the normal operation of each module;
s104, performing water quantity early warning by using a water quantity early warning module according to the collected cooling bin parameters and the water inflow information in the cooling bin when the water inflow in the cooling bin is close to the volume of the cooling bin;
s105, driving cooling water in the cooling bin by using a driving motor through a heat exchange module, so that the cooling water moves in the cooling bin for heat exchange; monitoring the temperature of the water in the cooling bin by using a temperature sensor through a temperature monitoring module to obtain the temperature of the water in the cooling bin;
s106, terminating heat exchange when the temperature of the water in the cooling bin reaches a threshold value by using a heat exchange terminating program through a heat exchange terminating module; the water in the cooling bin is condensed by the condenser through the condensation recycling module, and when the temperature of the water in the cooling bin is reduced to a preset value, the water in the cooling bin is recycled and reused.
As shown in fig. 2, a heat exchange system based on a microchannel heat exchanger according to an embodiment of the present invention includes:
the water inlet module 1 is connected with the central control module 5 and used for conveying cooling water into the cooling bin by starting a water inlet pump;
the cooling bin parameter acquisition module 2 is connected with the central control module 5 and is used for acquiring cooling bin parameters through a cooling bin parameter acquisition program to obtain the cooling bin parameters; the cooling bin parameters comprise the specification and the volume of the cooling bin;
the cooling bin pressure acquisition module 3 is connected with the central control module 5 and is used for acquiring real-time pressure information of the cooling bin through a pressure sensor arranged at the bottom end inside the cooling bin to obtain total pressure information of water in the cooling bin;
the water inflow calculation module 4 is connected with the central control module 5 and is used for calculating the water inflow inside the cooling bin according to the total pressure information of the water in the cooling bin through a water inflow calculation program to obtain the water inflow information inside the cooling bin;
the central control module 5 is connected with the water inlet module 1, the cooling bin parameter acquisition module 2, the cooling bin pressure acquisition module 3, the water inflow calculation module 4, the water amount early warning module 6, the heat exchange module 7, the temperature monitoring module 8, the heat exchange termination module 9 and the condensation recovery module 10, and is used for controlling the operation of each connection module through a main control computer and ensuring the normal operation of each module;
the water quantity early warning module 6 is connected with the central control module 5 and is used for carrying out water quantity early warning when the water inflow in the cooling bin is close to the volume of the cooling bin according to the collected cooling bin parameters and the water inflow information in the cooling bin through a water quantity early warning program;
the heat exchange module 7 is connected with the central control module 5 and used for driving cooling water in the cooling bin through a driving motor so that the cooling water moves in the cooling bin to exchange heat;
the temperature monitoring module 8 is connected with the central control module 5 and used for monitoring the temperature of the water in the cooling bin through a temperature sensor to obtain the temperature of the water in the cooling bin;
the heat exchange termination module 9 is connected with the central control module 5 and is used for terminating heat exchange when the temperature of water in the cooling bin reaches a threshold value through a heat exchange termination program;
and the condensation recovery module 10 is connected with the central control module 5 and is used for condensing the water in the cooling bin through a condenser, and recovering the water in the cooling bin when the temperature of the water in the cooling bin is reduced to a preset value for reutilization.
As shown in fig. 3, the obtaining of the parameters of the cooling chamber by the cooling chamber parameter obtaining program according to the embodiment of the present invention includes:
s201, determining a database where the cooling bin parameters are located, wherein the database comprises one or more data elements;
s202, acquiring information of one or more cooling bin parameters corresponding to the data elements based on the extraction path of the information corresponding to the data elements; the information of the large-diameter pipe network welding part at least comprises the name of a cooling bin;
s203, based on the names of the cooling bins, associating the information of one or more cooling bin parameters according to the names of the corresponding cooling bins;
s204, obtaining corresponding structured data based on the associated information; converting the structured data based on the corresponding relationship between the data elements and the information of the cooling bin parameters to obtain standard data corresponding to the data elements;
s205, based on the names of the cooling bins, the standard data corresponding to the same name of the cooling bin are respectively stored in association with the data elements corresponding to the standard data.
The method for calculating the water inflow in the cooling bin according to the total pressure information of the water in the cooling bin by the water inflow calculation program comprises the following steps: and carrying out normalization processing on the total pressure information of the water in the cooling bin to obtain normalized data, and calculating the water inflow inside the cooling bin according to the normalized data.
As shown in fig. 4, the normalization processing of the total pressure information of the water in the cooling bin according to the embodiment of the present invention to obtain normalized data includes:
s301, receiving rule parameters related to a total pressure information normalization strategy of water in a cooling bin, which are input by a user;
s302, generating a program code corresponding to a total pressure information normalization strategy of the water in the cooling bin according to the rule parameters and a preset code generation rule;
and S303, operating a program code corresponding to the total pressure information normalization strategy of the water in the cooling bin, carrying out normalization judgment on the total pressure information of the water in the cooling bin in a preset total pressure data set of the water in the cooling bin, and clustering the same data.
The clustering of the same data provided by the embodiment of the invention comprises the following steps:
classifying the data according to a fuzzy clustering algorithm, and calculating a clustering center of each class;
FCM combines n vectors xkDividing the data into c fuzzy classes, and calculating the clustering center c of each classiTo minimize the fuzzy objective function;
the objective function of fuzzy clustering is:
Figure BDA0002984123350000101
wherein d isij＝||ci-xjI is the Euclidean distance of the sample vector from the center point, ciIs the center of the ith class, m is the number of samples, and j is the attribute column; the calculation formula of each cluster center is as follows:
Figure BDA0002984123350000102
calculating a membership value through a membership function to form a fuzzy matrix;
the membership function is:
Figure BDA0002984123350000103
selecting a training sample from the fuzzy matrix as the training input of the generalized neural network;
selecting m samples with the minimum distance from the central value in the fuzzy matrix as training samples, and using n x m groups of data as the training input of the generalized neural network; n is the number of classified intrusion data according to a fuzzy clustering algorithm, and m is data between 1 and 5;
predicting and outputting the type of intrusion data according to the training input of the generalized neural network;
data are subdivided into n classes, and a sample closest to the central value of each class is found out to be used as a training sample; and obtaining a clustering result.
The generalized neural network provided by the embodiment of the invention is composed of four-level structures of an input layer, a mode layer, a summation layer and an output layer.
As shown in fig. 5, the central control module provided in the embodiment of the present invention includes: a gray prediction control unit 5-1, a fuzzy logic control unit 5-2 and a PID control unit 5-3.
The gray prediction control module provided by the embodiment of the invention is controlled by a gray model;
the grey model is a dynamic model composed of a set of grey differential equations, and the grey model GM (1,1) model is established, and the modeling comprises the following steps:
X(0)for the original non-negative data sequence: x(0)＝[x(0)(1),x(0)(2),...,x(0)(n)]To X(0)Performing an accumulation generation operation to obtain X(0)1-AGO sequence of (A), X(1)＝[x(1)(1),x(1)(2),...,x(1)(n)]Wherein, in the step (A),
Figure BDA0002984123350000111
for sequence X(1)Performing adjacent mean value generation operation to obtain X(1)Is generated by the adjacent mean generation sequence Z(1)Wherein z is(1)(k)＝0.5[x(1)(k)+x(1)(k-1)],k＝1,2,...,n；
The gray differential equation for GM (1,1) is obtained: x is the number of(0)(k)+az(1)(k) U, and the corresponding whitening equation:
Figure BDA0002984123350000112
wherein a is a development coefficient, and u is a gray effect amount;
and (3) solving a and u: using least squares
Figure BDA0002984123350000113
Wherein the content of the first and second substances,
Figure BDA0002984123350000114
Yn＝[x(0)(2)x(0)(3)...x(0)(n)]t; the solution of the whitening equation is
Figure BDA0002984123350000115
The time response sequence of the corresponding gray differential equation is: i.e. the value at time k
Figure BDA0002984123350000116
To the sequence
Figure BDA0002984123350000121
Performing an accumulation and subtraction operation, i.e. performing the inverse operation of the accumulation and generation, and recording the operation as IAGO, to obtain a prediction sequence
Figure BDA0002984123350000122
Wherein the content of the first and second substances,
Figure BDA0002984123350000123
the predicted value at the time k + d is:
Figure BDA0002984123350000124
d is the system lag time.
In the description of the present invention, "a plurality" means two or more unless otherwise specified; the terms "upper", "lower", "left", "right", "inner", "outer", "front", "rear", "head", "tail", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, should not be construed as limiting the invention. Furthermore, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The above description is only for the purpose of illustrating the present invention and the appended claims are not to be construed as limiting the scope of the invention, which is intended to cover all modifications, equivalents and improvements that are within the spirit and scope of the invention as defined by the appended claims.

Claims (10)

1. A heat exchange system based on a microchannel heat exchanger, the heat exchange system based on the microchannel heat exchanger comprising:
the water inlet module is connected with the central control module and used for conveying cooling water into the cooling bin by starting the water inlet pump;
the cooling bin parameter acquisition module is connected with the central control module and used for acquiring cooling bin parameters through a cooling bin parameter acquisition program to obtain the cooling bin parameters; the cooling bin parameters comprise the specification and the volume of the cooling bin;
the cooling bin pressure acquisition module is connected with the central control module and used for acquiring real-time pressure information of the cooling bin through a pressure sensor arranged at the bottom end inside the cooling bin to obtain total pressure information of water in the cooling bin;
the water inflow calculation module is connected with the central control module and used for calculating the water inflow inside the cooling bin according to the total pressure information of the water in the cooling bin through a water inflow calculation program to obtain the water inflow information inside the cooling bin;
the calculation of the inside inflow of cooling bin is carried out according to the total pressure information of water in the cooling bin through the inflow calculation program, including: carrying out normalization processing on total pressure information of water in the cooling bin to obtain normalized data, and calculating the water inflow in the cooling bin according to the normalized data;
the normalization processing of the total pressure information of the water in the cooling bin is carried out to obtain normalized data, and the normalization processing comprises the following steps:
receiving rule parameters related to a total pressure information normalization strategy of water in a cooling bin input by a user;
generating a program code corresponding to the total pressure information normalization strategy of the water in the cooling bin according to the rule parameters and a preset code generation rule;
and operating a program code corresponding to the total pressure information normalization strategy of the water in the cooling bin, carrying out normalization judgment on the total pressure information of the water in the cooling bin in a preset total pressure data set of the water in the cooling bin, and clustering the same data.
The clustering the same data comprises:
classifying the data according to a fuzzy clustering algorithm, and calculating a clustering center of each class;
FCM combines n vectors xkDividing into c fuzzy classes and evaluating each classCluster center ciTo minimize the fuzzy objective function;
the objective function of fuzzy clustering is:
Figure FDA0002984123340000021
wherein d isij＝||ci-xjI is the Euclidean distance of the sample vector from the center point, ciIs the center of the ith class, m is the number of samples, and j is the attribute column; the calculation formula of each cluster center is as follows:
Figure FDA0002984123340000022
calculating a membership value through a membership function to form a fuzzy matrix;
the membership function is:
Figure FDA0002984123340000023
selecting a training sample from the fuzzy matrix as the training input of the generalized neural network;
selecting m samples with the minimum distance from the central value in the fuzzy matrix as training samples, and using n x m groups of data as the training input of the generalized neural network; n is the number of classified intrusion data according to a fuzzy clustering algorithm, and m is data between 1 and 5;
predicting and outputting the type of intrusion data according to the training input of the generalized neural network;
data are subdivided into n classes, and a sample closest to the central value of each class is found out to be used as a training sample; obtaining a clustering result;
the central control module is connected with the water inlet module, the cooling bin parameter acquisition module, the cooling bin pressure acquisition module, the water inlet amount calculation module, the water amount early warning module, the heat exchange module, the temperature monitoring module, the heat exchange termination module and the condensation recovery module, and is used for controlling the operation of each connection module through the main control computer and ensuring the normal operation of each module.
2. The microchannel heat exchanger based heat exchange system of claim 1, wherein the microchannel heat exchanger based heat exchange system further comprises:
and the water quantity early warning module is connected with the central control module and is used for carrying out water quantity early warning when the water quantity in the cooling bin is close to the volume of the cooling bin according to the collected cooling bin parameters and the collected water inflow information in the cooling bin through a water quantity early warning program.
3. The microchannel heat exchanger based heat exchange system of claim 1, wherein the microchannel heat exchanger based heat exchange system further comprises: and the heat exchange module is connected with the central control module and used for driving the cooling water in the cooling bin through the driving motor so that the cooling water moves in the cooling bin to exchange heat.
4. The microchannel heat exchanger based heat exchange system of claim 1, wherein the microchannel heat exchanger based heat exchange system further comprises: and the temperature monitoring module is connected with the central control module and used for monitoring the temperature of the water in the cooling bin through the temperature sensor to obtain the temperature of the water in the cooling bin.
5. The microchannel heat exchanger based heat exchange system of claim 1, wherein the microchannel heat exchanger based heat exchange system further comprises: and the heat exchange termination module is connected with the central control module and is used for terminating heat exchange when the temperature of the water in the cooling bin reaches a threshold value through a heat exchange termination program.
6. The microchannel heat exchanger based heat exchange system of claim 1, wherein the microchannel heat exchanger based heat exchange system further comprises: and the condensation recovery module is connected with the central control module and is used for condensing the water in the cooling bin through the condenser, and recovering the water in the cooling bin when the temperature of the water in the cooling bin is reduced to a preset value, so that the water is reused.
7. The heat exchange system based on the microchannel heat exchanger as recited in claim 1, wherein the obtaining of the cooling chamber parameters by the cooling chamber parameter obtaining program to obtain the cooling chamber parameters comprises:
(1) determining a database in which the cooling bin parameters are located, the database comprising one or more data elements;
(2) acquiring information of one or more cooling bin parameters corresponding to the data elements on the basis of the extraction path of the information corresponding to the data elements; the information of the large-diameter pipe network welding part at least comprises the name of a cooling bin;
(3) associating information of one or more of the cooling bin parameters by name of the corresponding cooling bin based on the name of the cooling bin;
(4) obtaining corresponding structured data based on the associated information; converting the structured data based on the corresponding relationship between the data elements and the information of the cooling bin parameters to obtain standard data corresponding to the data elements;
(5) based on the name of the cooling bin, respectively storing each standard data corresponding to the same name of the cooling bin and each data element corresponding to each standard data in an associated manner;
the generalized neural network is composed of four-level structures of an input layer, a mode layer, a summation layer and an output layer.
8. The microchannel heat exchanger based heat exchange system of claim 1, wherein the central control module comprises: grey prediction control unit, fuzzy logic control unit and PID control unit.
9. The microchannel heat exchanger based heat exchange system of claim 8, wherein the gray predictive control module is controlled by a gray model;
the grey model is a dynamic model composed of a set of grey differential equations, and the grey model GM (1,1) model is established, and the modeling comprises the following steps:
X(0)for the original non-negative data sequence: x(0)＝[x(0)(1),x(0)(2),...,x(0)(n)]To X(0)Performing an accumulation generation operation to obtain X(0)1-AGO sequence of (A), X(1)＝[x(1)(1),x(1)(2),...,x(1)(n)]Wherein, in the step (A),
Figure FDA0002984123340000041
for sequence X(1)Performing adjacent mean value generation operation to obtain X(1)Is generated by the adjacent mean generation sequence Z(1)Wherein z is(1)(k)＝0.5[x(1)(k)+x(1)(k-1)],k＝1,2,...,n；
The gray differential equation for GM (1,1) is obtained: x is the number of(0)(k)+az(1)(k) U, and the corresponding whitening equation:
Figure FDA0002984123340000042
wherein a is a development coefficient, and u is a gray effect amount;
and (3) solving a and u: using least squares
Figure FDA0002984123340000043
Wherein the content of the first and second substances,
Figure FDA0002984123340000044
Yn＝[x(0)(2)x(0)(3)...x(0)(n)]t; the solution of the whitening equation is
Figure FDA0002984123340000045
The time response sequence of the corresponding gray differential equation is: i.e. the value at time k
Figure FDA0002984123340000051
To the sequence
Figure FDA0002984123340000052
Performing an accumulation and subtraction operation, i.e. performing the inverse operation of the accumulation and generation, and recording the operation as IAGO, to obtain a prediction sequence
Figure FDA0002984123340000053
Wherein the content of the first and second substances,
Figure FDA0002984123340000054
the predicted value at the time k + d is:
Figure FDA0002984123340000055
d is the system lag time.
10. A computer readable storage medium storing instructions that, when executed on a computer, cause the computer to apply the functionality of the microchannel heat exchanger based heat exchange system as recited in any one of claims 1-9.
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