CN116050737A - Steam pipe network end user steam temperature optimization control method - Google Patents
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Abstract
The invention discloses a steam pipe network end user steam temperature optimization control method, which comprises the following steps: acquiring a steam temperature fluctuation rule of a downstream end user based on historical operation data of the regional energy system, and determining main influencing factors of the steam of the end user according to the steam temperature fluctuation rule; determining a delay time between the steam temperature of the specific end user and the main influencing factors through the correlation coefficient; aligning the operation data on a time axis by utilizing delay time, and constructing a correlation model of the steam temperature of the terminal user through a multiple linear regression model; establishing a temperature directional control optimization association according to an association model of the steam temperature of the terminal user, and realizing the optimization control of the steam temperature of the terminal user; the method provided by the invention can effectively reduce the temperature fluctuation of the terminal user, control the steam temperature of the user to be near the target value, realize the directional regulation and control of the steam temperature of the user, reduce the excessive supply of the steam parameters of the plant source and effectively improve the efficiency of the whole heat network.
Description
Technical Field
The invention relates to the technical field of energy conservation and emission reduction, in particular to a steam pipe network end user steam temperature optimization control method.
Background
The regional energy system often adopts a central heating mode, a heat source transmits steam to a downstream terminal user through a steam pipe network, the steam relates to a complex thermodynamic process in the pipeline transmission process, and the steam load of the terminal user fluctuates severely, so that the temperature fluctuation of the steam received by the terminal user is large, and the temperature adjustment of the steam at the user side is difficult; because the steam needs to be conveyed in a steam pipeline for a long distance, the propagation of the steam temperature has obvious delay phenomenon, and the steam temperature adjustment of the terminal user is difficult; and the plant source steam parameters are correspondingly regulated according to the change of the heat supply working condition, and the moderate matching of the plant source steam temperature and the flow parameters is carried out, so that the temperature fluctuation of a terminal user can be effectively reduced, the excessive supply of the plant source steam parameters is reduced, and the overall heat network efficiency is effectively improved.
At present, a Computational Fluid Dynamics (CFD) modeling method widely adopted in a thermodynamic process has the problems of difficult modeling, poor model accuracy, large operand, long calculation time consumption, poor instantaneity and the like, and is difficult to apply to the optimal control of steam temperature of a steam pipe network; as technologies such as big data, artificial intelligence and industrial internet are mature, machine learning and intelligent algorithms are widely applied in the aspects of thermal power equipment state monitoring, fault early warning diagnosis, operation optimization and the like; the steam pipe network can generate mass data in daily operation, and how to use the precipitation data to generate valuable information so as to guide actual operation, optimize the operation parameters of the heat supply network and improve the control method becomes a current industry hotspot.
Disclosure of Invention
This section is intended to outline some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section as well as in the description summary and in the title of the application, to avoid obscuring the purpose of this section, the description summary and the title of the invention, which should not be used to limit the scope of the invention.
The present invention has been made in view of the above-described problems.
In a first aspect of the embodiment of the present invention, there is provided a steam pipe network end user steam temperature optimization control method, including: acquiring a steam temperature fluctuation rule of a downstream end user based on historical operation data of a regional energy system, and determining main influencing factors of the steam of the end user according to the steam temperature fluctuation rule; determining a delay time between the steam temperature of the specific end user and the main influencing factors through the correlation coefficient; aligning the operation data on a time axis by utilizing the delay time, and constructing a correlation model of the steam temperature of the terminal user through a multiple linear regression model; and establishing a temperature directional control optimization association according to the association model of the steam temperature of the terminal user, and realizing the optimization control of the steam temperature of the terminal user.
As a preferable scheme of the steam pipe network end user steam temperature optimization control method, the invention comprises the following steps: the historical operating data of the regional energy system includes user steam temperature, plant source steam flow, and user steam flow.
As a preferable scheme of the steam pipe network end user steam temperature optimization control method, the invention comprises the following steps: the determination of the primary influencing factors of the end user steam includes,
acquiring a steam temperature fluctuation rule of a downstream end user based on the historical operation data, wherein the fluctuation rule is that the temperature of the end user changes along with the change of a plant source steam flow signal;
and determining main influencing factors of the steam of the terminal user according to the fluctuation rule, and selecting the steam flow of the plant source as a main variable and the temperature of the terminal user as a following variable.
As a preferable scheme of the steam pipe network end user steam temperature optimization control method, the invention comprises the following steps: the determination of the delay time includes,
the temperature of the terminal user has hysteresis phenomenon relative to the steam flow signal of the plant source, the time delay of a temperature channel is calculated through a data segment translation method, and the delay time between the steam temperature of the specific terminal user and main influencing factors is determined through a correlation coefficient;
the pearson correlation coefficient between the particular end-user steam temperature and the primary influencing factor is defined as the quotient of the covariance and the standard deviation;
the calculation of the correlation coefficient corr (X, Y) includes,
wherein Cov (X, Y) represents the covariance between the steam temperature and the dominant contributor for a particular end user, σ X Standard deviation, sigma, representative of steam temperature for a particular end user Y Representing the standard deviation of the main influencing factors.
As a preferable scheme of the steam pipe network end user steam temperature optimization control method, the invention comprises the following steps: construction of the correlation model of end user steam temperature includes,
aligning the operation data on a time axis by utilizing the obtained delay time, and establishing a correlation type of the steam temperature of a downstream end user and the steam temperature and flow parameters of a plant source through a multiple linear regression model;
the calculation of the correlation includes,
T s ＝a*P+b*T e +c
wherein T is s Representing the steam temperature of a user, P representing the steam flow of a plant source, T e The temperature of the source steam is represented, and a, b and c represent coefficients.
As a preferable scheme of the steam pipe network end user steam temperature optimization control method, the invention comprises the following steps: the establishment of the temperature orientation control optimization association comprises,
establishing a temperature directional control optimization correlation according to the correlation model of the steam temperature of the terminal user;
the calculation of the temperature orientation control optimization association includes,
T w ＝a*P+b*T e +c
wherein T is w Indicating the user steam temperature target value.
As a preferable scheme of the steam pipe network end user steam temperature optimization control method, the invention comprises the following steps: also included is a method of manufacturing a semiconductor device,
acquiring a source steam temperature value corresponding to the current source steam flow according to the temperature directional control optimization association;
and the corresponding plant source steam parameters are regulated by utilizing the real-time steam flow, so that the temperature of a steam user at the pipeline terminal is controlled near the target value, and the optimal control of the steam temperature of the terminal user is realized.
In a second aspect of the embodiment of the present invention, there is provided a steam pipe network end user steam temperature optimization control system, including:
the data processing module is used for acquiring a steam temperature fluctuation rule of a downstream terminal user based on historical operation data of the regional energy system, and determining main influencing factors of the steam of the terminal user according to the steam temperature fluctuation rule;
the model construction module is used for determining the delay time between the steam temperature of the specific terminal user and the main influencing factors through the correlation coefficient, aligning the operation data on a time axis by utilizing the delay time, and constructing a correlation model of the steam temperature of the terminal user through a multiple linear regression model;
and the optimization control module is used for establishing a temperature directional control optimization association according to the association model of the steam temperature of the terminal user, so as to realize the optimization control of the steam temperature of the terminal user.
In a third aspect of embodiments of the present invention, there is provided an apparatus, comprising,
a processor;
a memory for storing processor-executable instructions;
the processor is configured to invoke the instructions stored in the memory to perform the method according to any of the embodiments of the present invention.
In a fourth aspect of embodiments of the present invention, there is provided a computer readable storage medium having stored thereon computer program instructions comprising:
the computer program instructions, when executed by a processor, implement a method according to any of the embodiments of the present invention.
The invention has the beneficial effects that: the invention provides a steam pipe network end user steam temperature optimization control method, which can be used for directional regulation and control of downstream user steam temperature of a steam pipe network, can correspondingly regulate the plant source steam temperature according to the target value of user steam required to be regulated and the current steam pipe network flow, can directionally regulate the user steam temperature to be near the target value, and is beneficial to the optimization control of the steam temperature; in addition, the optimization control method provided by the invention can be used for maintaining the steam temperature of the downstream user of the steam pipe network at a given target value relatively stable, and can effectively reduce the fluctuation range of the steam temperature of the user, which is beneficial to the stability of the steam temperature of the downstream user and reduces the difficulty of temperature regulation of the user side; in addition, the optimized control method provided by the invention can effectively reduce the excessive supply of the steam temperature of the plant source, and can reduce the fluctuation range and amplitude of the steam temperature of the user, so that the steam temperature of the user can be closer to the contract preset value of the steam temperature in the actual operation process, the temperature of the steam of the plant source can be moderately reduced, and the downstream steam temperature can be ensured to be above the contract preset value, thereby reducing the excessive supply of the steam temperature of the plant source and improving the efficiency of the whole heat network.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
FIG. 1 is a flow chart of a steam pipe network end user steam temperature optimization control method provided by the invention;
FIG. 2 is a schematic diagram of a steam pipe network of a regional energy system for a steam pipe network end user steam temperature optimization control method provided by the invention;
FIG. 3 is a graph of correlation coefficient versus translation time for a steam pipe network end user steam temperature optimization control method provided by the invention;
FIG. 4 is a line graph of time sequence data of end user temperature, plant source steam temperature and plant source steam flow of the steam pipe network end user steam temperature optimizing control method provided by the invention;
FIG. 5 is a timing diagram of end-user temperature and source steam flow for a steam pipe network end-user steam temperature optimization control method according to the present invention;
fig. 6 is a graph of correlation coefficient and delay time judgment of a steam pipe network end user steam temperature optimization control method provided by the invention.
Detailed Description
So that the manner in which the above recited objects, features and advantages of the present invention can be understood in detail, a more particular description of the invention, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present invention is not limited to the specific embodiments disclosed below.
Further, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic can be included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
While the embodiments of the present invention have been illustrated and described in detail in the drawings, the cross-sectional view of the device structure is not to scale in the general sense for ease of illustration, and the drawings are merely exemplary and should not be construed as limiting the scope of the invention. In addition, the three-dimensional dimensions of length, width and depth should be included in actual fabrication.
Also in the description of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "upper, lower, inner and outer", etc. are based on the orientation or positional relationship shown in the drawings, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the apparatus or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first, second, or third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected, and coupled" should be construed broadly in this disclosure unless otherwise specifically indicated and defined, such as: can be fixed connection, detachable connection or integral connection; it may also be a mechanical connection, an electrical connection, or a direct connection, or may be indirectly connected through an intermediate medium, or may be a communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
Example 1
Referring to fig. 1 to 3, in one embodiment of the present invention, there is provided a steam pipe network end user steam temperature optimization control method, including:
s1: and acquiring a steam temperature fluctuation rule of a downstream end user based on historical operation data of the regional energy system, and determining main influencing factors of the steam of the end user according to the steam temperature fluctuation rule. It should be noted that:
historical operating data of the regional energy system includes user steam temperature, plant source steam flow and user steam flow;
further, the determination of the primary influencing factors of the end user steam includes,
acquiring a steam temperature fluctuation rule of a downstream end user based on historical operation data, wherein the fluctuation rule is that the temperature of the end user changes along with the change of a plant source steam flow signal;
and determining main influencing factors of the steam of the end user according to the fluctuation rule, and selecting the steam flow of the plant source as a main variable and the temperature of the end user as a following variable.
S2: and determining the delay time between the steam temperature of the specific end user and the main influencing factors through the correlation coefficient, aligning the operation data on a time axis by utilizing the delay time, and constructing a correlation model of the steam temperature of the end user through a multiple linear regression model. It should be noted that:
determining delay time comprises the steps that the temperature of an end user has hysteresis relative to a plant source steam flow signal, the time delay of a temperature channel is calculated through a data segment translation method, and the delay time between the steam temperature of the specific end user and main influencing factors is determined through a correlation coefficient;
the pearson correlation coefficient between the steam temperature of a particular end user and the dominant influencing factor is defined as the quotient of the covariance and the standard deviation, and the calculation of the correlation coefficient corr (X, Y) includes,
wherein Cov (X, Y) represents the covariance between the steam temperature and the dominant contributor for a particular end user, σ X Standard deviation, sigma, representative of steam temperature for a particular end user Y Standard deviation representing the dominant influencing factor;
it should be noted that, as shown in fig. 3, the larger the absolute value of the correlation coefficient, the larger the correlation between the steam temperature of the specific end user and the main influencing factor, the correlation coefficient shows a unimodal characteristic along with the change of the translation time, and the translation time corresponding to the maximum value of the correlation coefficient can be regarded as the most probable delay time;
further, the obtained delay time is utilized to align the operation data on a time axis, and a relation between the steam temperature of the downstream end user and the steam temperature and flow parameters of the plant source is established through a multiple linear regression model, wherein the calculation of the relation comprises,
T s ＝a*P+b*T e +c
wherein T is s Representing the steam temperature of a user, P representing the steam flow of a plant source, T e The temperature of the source steam is represented, and a, b and c represent coefficients.
S3: and establishing a temperature directional control optimization association according to the association model of the steam temperature of the terminal user, so as to realize the optimal control of the steam temperature of the terminal user. It should be noted that:
establishing a temperature orientation control optimization association according to an association model of the steam temperature of the end user, wherein the calculation of the temperature orientation control optimization association comprises,
T w ＝a*P+b*T e +c
wherein T is w Representing a user steam temperature target value;
it should be noted that, the factory source steam temperature value corresponding to the current factory source steam flow is obtained according to the temperature directional control optimization association, and the corresponding factory source steam parameters are adjusted by utilizing the real-time steam flow, so that the steam user temperature of the pipeline terminal is controlled near the target value, the optimization control of the steam temperature of the terminal user is realized, and the steam temperature fluctuation condition is effectively reduced.
It should be noted that the invention provides a steam pipe network end user steam temperature optimization control method, which can be used for directional regulation and control of downstream user steam temperature of a steam pipe network, can correspondingly regulate the plant source steam temperature according to the target value of user steam to be regulated and the current steam pipe network flow, can directionally regulate the user steam temperature to the vicinity of the target value, and is beneficial to optimization control of steam temperature; in addition, the optimization control method provided by the invention can be used for maintaining the steam temperature of the downstream user of the steam pipe network at a given target value relatively stable, and can effectively reduce the fluctuation range of the steam temperature of the user, which is beneficial to the stability of the steam temperature of the downstream user and reduces the difficulty of temperature regulation of the user side; in addition, the optimized control method provided by the invention can effectively reduce the excessive supply of the steam temperature of the plant source, and can reduce the fluctuation range and amplitude of the steam temperature of the user, so that the steam temperature of the user can be closer to the contract preset value of the steam temperature in the actual operation process, the temperature of the steam of the plant source can be moderately reduced, and the downstream steam temperature can be ensured to be above the contract preset value, thereby reducing the excessive supply of the steam temperature of the plant source and improving the efficiency of the whole heat network.
In a second aspect of the present disclosure,
the utility model provides a steam pipe network end user steam temperature optimizing control system, includes:
the data processing module is used for acquiring a steam temperature fluctuation rule of a downstream terminal user based on historical operation data of the regional energy system, and determining main influencing factors of the steam of the terminal user according to the steam temperature fluctuation rule;
the model construction module is used for determining the delay time between the steam temperature of the specific terminal user and the main influencing factors through the correlation coefficient, aligning the operation data on a time axis by utilizing the delay time, and constructing a correlation model of the steam temperature of the terminal user through a multiple linear regression model;
and the optimization control module is used for establishing a temperature directional control optimization association type according to the association type model of the steam temperature of the terminal user, so as to realize the optimization control of the steam temperature of the terminal user.
In a third aspect of the present disclosure,
there is provided an apparatus comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to invoke the instructions stored in the memory to perform the method of any of the preceding.
In a fourth aspect of the present disclosure,
there is provided a computer readable storage medium having stored thereon computer program instructions comprising:
the computer program instructions, when executed by a processor, implement a method of any of the preceding.
The present invention may be a method, apparatus, system, and/or computer program product, which may include a computer-readable storage medium having computer-readable program instructions embodied thereon for performing various aspects of the present invention.
The computer readable storage medium may be a tangible device that can hold and store instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: portable computer disks, hard disks, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static Random Access Memory (SRAM), portable compact disk read-only memory (CD-ROM), digital Versatile Disks (DVD), memory sticks, floppy disks, mechanical coding devices, punch cards or in-groove structures such as punch cards or grooves having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media, as used herein, are not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., optical pulses through fiber optic cables), or electrical signals transmitted through wires.
Example 2
Referring to fig. 4 to 6, a second embodiment of the present invention, which is different from the first embodiment, provides a verification test of a steam pipe network end user steam temperature optimization control method, so as to verify and explain the technical effects adopted in the method.
Analyzing a steam heat supply network in an regional energy system, selecting a main user of a downstream terminal as a research object, and FIG. 4 shows historical operation data of user steam temperature, plant source steam flow and user steam flow in time sequence, wherein an abnormal working condition data segment obviously shows that the temperature of the terminal user changes along with a plant source steam flow signal, and searching a steam temperature fluctuation rule of the downstream terminal user through the historical operation data to determine that a main influencing factor of the steam of the terminal user is the plant source steam flow.
From the time series data of the end user steam temperature and the plant source steam flow shown in fig. 5, obvious hysteresis exists between the end user steam temperature and the plant source steam flow in time, and the user steam temperature signal lags the plant source steam flow signal by 2-3 hours, so that the plant source steam flow is selected as a main variable, and the end user temperature is selected as a following variable.
And continuously shifting the whole data segment backwards on a time axis, selecting the plant source steam flow data in the data segment, continuously analyzing the correlation coefficient with the user steam temperature signal in a time window after shifting, wherein the shifting time corresponding to the highest correlation coefficient is the most probable delay time, and when 162.67 minutes is shown in fig. 6, the correlation coefficient is taken to be the maximum 0.8308, namely the most probable delay time.
After obtaining the corresponding delay time, translating the factory source steam signal backwards along the time axis according to the corresponding delay time, and obtaining a multi-element linear regression relation of the steam temperature of the end user, the steam flow of the factory source and the steam temperature of the factory source after the time axis is aligned, wherein the multi-element linear regression relation is expressed as: user steam temperature (c) = 0.1336 ×plant source steam flow (t/h) +0.4411 ×plant source steam temperature (c) +74.51, and can be obtained by transformation: source steam temperature (°c) = ((user steam temperature target value (°c) -74.51) -0.1336 source steam flow (t/h))/0.4411.
According to the current heat supply working condition, the temperature of the source steam is regulated according to the flow of the source steam, so that the steam temperature accepted by a certain key user in the pipe network is kept near a target value; therefore, the method provided by the invention can moderately reduce the temperature of the source steam and also can ensure that the temperature of the downstream steam is above the contract appointment value, thereby reducing the excessive supply of the source steam temperature and improving the overall heat network efficiency.
It should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention may be modified or substituted without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered in the scope of the claims of the present invention.
Claims (10)
1. The steam pipe network end user steam temperature optimization control method is characterized by comprising the following steps:
acquiring a steam temperature fluctuation rule of a downstream end user based on historical operation data of a regional energy system, and determining main influencing factors of the steam of the end user according to the steam temperature fluctuation rule;
determining a delay time between the steam temperature of the specific end user and the main influencing factors through the correlation coefficient;
aligning the operation data on a time axis by utilizing the delay time, and constructing a correlation model of the steam temperature of the terminal user through a multiple linear regression model;
and establishing a temperature directional control optimization association according to the association model of the steam temperature of the terminal user, and realizing the optimization control of the steam temperature of the terminal user.
2. The steam pipe network end user steam temperature optimization control method of claim 1, wherein the steam pipe network end user steam temperature optimization control method comprises the following steps: the historical operating data of the regional energy system includes user steam temperature, plant source steam flow, and user steam flow.
3. The steam pipe network end user steam temperature optimization control method of claim 2, wherein: the determination of the primary influencing factors of the end user steam includes,
acquiring a steam temperature fluctuation rule of a downstream end user based on the historical operation data, wherein the fluctuation rule is that an end user temperature signal changes along with a plant source steam flow signal;
and determining main influencing factors of the steam of the terminal user according to the fluctuation rule, and selecting the steam flow of the plant source as a main variable and the temperature of the terminal user as a following variable.
4. A steam pipe network end user steam temperature optimization control method according to any one of claims 1 to 3, characterized in that: the determination of the delay time includes,
the temperature signal of the terminal user has hysteresis phenomenon relative to the steam flow signal of the plant source, the time delay of the temperature channel is calculated by a data segment translation method, and the delay time between the steam temperature of the specific terminal user and the main influencing factors is determined by the correlation coefficient;
the pearson correlation coefficient between the particular end-user steam temperature and the primary influencing factor is defined as the quotient of the covariance and the standard deviation;
the calculation of the correlation coefficient corr (X, Y) includes,
wherein Cov (X, Y) represents the covariance between the steam temperature and the dominant contributor for a particular end user, σ X Standard deviation, sigma, representative of steam temperature for a particular end user Y Representing the standard deviation of the main influencing factors.
5. The steam pipe network end user steam temperature optimization control method of claim 4, wherein: construction of the correlation model of end user steam temperature includes,
aligning the operation data on a time axis by utilizing the obtained delay time, and establishing a correlation type of the steam temperature of a downstream end user and the steam temperature and flow parameters of a plant source through a multiple linear regression model;
the calculation of the correlation includes,
T s ＝a*P+b*T e +c
wherein T is s Representing the steam temperature of a user, P representing the steam flow of a plant source, T e The temperature of the source steam is represented, and a, b and c represent coefficients.
6. The steam pipe network end user steam temperature optimization control method of claim 5, wherein the steam pipe network end user steam temperature optimization control method comprises the following steps: the establishment of the temperature orientation control optimization association comprises,
establishing a temperature directional control optimization correlation according to the correlation model of the steam temperature of the terminal user;
the calculation of the temperature orientation control optimization association includes,
T w ＝a*P+b*T e +c
wherein T is w Indicating the user steam temperature target value.
7. The steam pipe network end user steam temperature optimization control method of claim 6, wherein: also included is a method of manufacturing a semiconductor device,
acquiring a source steam temperature value corresponding to the current source steam flow according to the temperature directional control optimization association;
the corresponding factory source steam temperature parameters are adjusted by utilizing the real-time factory source steam flow, so that the steam user temperature of the pipeline terminal can be controlled near the target value, and the optimal control of the steam temperature of the terminal user is realized.
8. Steam pipe network end user steam temperature optimizing control system, characterized by comprising:
the data processing module is used for acquiring a steam temperature fluctuation rule of a downstream terminal user based on historical operation data of the regional energy system, and determining main influencing factors of the steam of the terminal user according to the steam temperature fluctuation rule;
the model construction module is used for determining the delay time between the steam temperature of the specific terminal user and the main influencing factors through the correlation coefficient, aligning the operation data on a time axis by utilizing the delay time, and constructing a correlation model of the steam temperature of the terminal user through a multiple linear regression model;
and the optimization control module is used for establishing a temperature directional control optimization association according to the association model of the steam temperature of the terminal user, so as to realize the optimization control of the steam temperature of the terminal user.
9. An apparatus, characterized in that the apparatus comprises,
a processor;
a memory for storing processor-executable instructions;
the processor is configured to invoke the instructions stored in the memory to perform the method of any of claims 1-7.
10. A computer readable storage medium having stored thereon computer program instructions, which when executed by a processor, implement the method of any of claims 1 to 7.
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| CN116795065B (en) * | 2023-07-26 | 2024-02-20 | 浙江东大树脂科技股份有限公司 | Control method and system for unsaturated polyester resin production equipment |
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