CN116293896A - Heating efficiency adjusting method and system for thermal power plant - Google Patents
Heating efficiency adjusting method and system for thermal power plant Download PDFInfo
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- CN116293896A CN116293896A CN202310044289.6A CN202310044289A CN116293896A CN 116293896 A CN116293896 A CN 116293896A CN 202310044289 A CN202310044289 A CN 202310044289A CN 116293896 A CN116293896 A CN 116293896A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D19/00—Details
- F24D19/10—Arrangement or mounting of control or safety devices
- F24D19/1006—Arrangement or mounting of control or safety devices for water heating systems
- F24D19/1009—Arrangement or mounting of control or safety devices for water heating systems for central heating
- F24D19/1048—Counting of energy consumption
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24H—FLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
- F24H15/00—Control of fluid heaters
- F24H15/10—Control of fluid heaters characterised by the purpose of the control
- F24H15/172—Scheduling based on user demand, e.g. determining starting point of heating
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24H—FLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
- F24H15/00—Control of fluid heaters
- F24H15/30—Control of fluid heaters characterised by control outputs; characterised by the components to be controlled
- F24H15/355—Control of heat-generating means in heaters
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24H—FLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
- F24H15/00—Control of fluid heaters
- F24H15/40—Control of fluid heaters characterised by the type of controllers
- F24H15/414—Control of fluid heaters characterised by the type of controllers using electronic processing, e.g. computer-based
- F24H15/421—Control of fluid heaters characterised by the type of controllers using electronic processing, e.g. computer-based using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24H—FLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
- F24H15/00—Control of fluid heaters
- F24H15/40—Control of fluid heaters characterised by the type of controllers
- F24H15/414—Control of fluid heaters characterised by the type of controllers using electronic processing, e.g. computer-based
- F24H15/443—Control of fluid heaters characterised by the type of controllers using electronic processing, e.g. computer-based using a central controller connected to several sub-controllers
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- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
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Abstract
The application relates to the technical field of data processing, and provides a heating efficiency adjusting method and system for a thermal power plant. Determining unit heat supply amount distribution information according to user heat supply demand information, taking the ratio of the unit heat supply amount distribution information to the unit heat supply efficiency conversion coefficient as unit heat generation amount distribution information, and obtaining heat supply unit parameter adjustment information based on the unit heat generation amount distribution information and unit heat generation real-time data flow; and adjusting, controlling and controlling the heat supply efficiency of the thermal power plant based on the parameter adjusting information of the heat supply unit. The technical problems that in the prior art, the heat supply efficiency of the thermal power plant is adjusted depending on the manual experience of staff of the thermal power plant, so that the heat supply efficiency of the thermal power plant cannot meet the actual heat supply requirement of a user, energy consumption is wasted, and the heat supply experience of the user is poor are solved, the dependence of the heat supply efficiency adjustment on the manual experience is reduced, the adaptation degree of the heat supply efficiency of the thermal power plant and the user requirement is improved, and the heat supply experience of the user is improved.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a heat supply efficiency adjusting method and system of a thermal power plant.
Background
The collective heating of the thermal power plant is an important heating means in the work and life of residents in northern cities in severe cold seasons, the adjustment and control of the heat supply efficiency of the thermal power plant at the present stage is often carried out by the staff of the thermal power plant, the empirical adjustment and control often has subjectivity, and the situation that the heat supply efficiency adjustment and control result of the thermal power plant is not matched with the actual temperature requirement and the heat supply time requirement of a heat supply user, so that the heat energy loss of the thermal power plant and the heat supply experience of the user are poor is caused.
In order to reduce the contradiction between heat supply efficiency and user demand, the thermal power plant adopts the form of pre-water test and heat supply user questionnaire to acquire the user heat supply demand before formally performing collective heat supply, and then refers to the heat supply efficiency regulation management of the thermal power plant, but the method can only realize the contradiction alleviation on heat supply temperature, and has very little contradiction alleviation effect on heat supply time.
In summary, in the prior art, the adjustment of the heat supply efficiency of the thermal power plant depends on the manual experience of the staff of the thermal power plant, so that the heat supply efficiency of the thermal power plant cannot meet the actual heat supply requirement of a user, and the technical problems of energy consumption waste and poor heat supply experience of the user are caused.
Disclosure of Invention
Based on the above, it is necessary to provide a heat supply efficiency adjusting method and system for a thermal power plant, which can reduce the dependency of heat supply efficiency adjustment on manual experience, improve the adaptation degree of heat supply efficiency and user requirements of the thermal power plant, and improve the heat supply experience of the user.
A heating efficiency adjustment method of a thermal power plant, the method comprising: obtaining heat supply demand information of a target user; performing heat allocation according to the target user heat supply demand information, and determining unit heat supply quantity allocation information; obtaining a unit heating efficiency conversion coefficient based on a heating system operation mode of the thermal power plant; taking the ratio of the unit heat supply quantity distribution information to the unit heat supply efficiency conversion coefficient as unit heat generation quantity distribution information; monitoring operation data of a heat supply unit of the thermal power plant to obtain a real-time heating data stream of the unit; inputting the heat generation amount distribution information of the unit and the real-time data stream of the heat generation of the unit into a heat supply unit parameter adjustment model for analysis to obtain heat supply unit parameter adjustment information; and adjusting, controlling and controlling the heat supply efficiency of the thermal power plant based on the heat supply unit parameter adjusting information.
A heating efficiency regulating system of a thermal power plant, the system comprising: the heat supply demand acquisition module is used for acquiring heat supply demand information of a target user; the heat distribution execution module is used for carrying out heat distribution according to the heat supply demand information of the target user and determining heat supply distribution information of the unit; the conversion coefficient obtaining module is used for obtaining the conversion coefficient of the heat supply efficiency of the unit based on the operation mode of the heat supply system of the thermal power plant; the heating distribution calculation module is used for taking the ratio of the unit heating quantity distribution information to the unit heating efficiency conversion coefficient as unit heating quantity distribution information; the unit monitoring execution module is used for monitoring operation data of a heat supply unit of the thermal power plant to obtain a real-time heating data stream of the unit; the adjusting parameter obtaining module is used for inputting the unit heating value distribution information and the unit heating real-time data stream into a heating unit parameter adjusting model for analysis to obtain heating unit parameter adjusting information; and the regulation control execution module is used for regulating and controlling the heat supply efficiency of the thermal power plant based on the heat supply unit parameter regulation information.
A computer device comprising a memory storing a computer program and a processor which when executing the computer program performs the steps of:
obtaining heat supply demand information of a target user;
performing heat allocation according to the target user heat supply demand information, and determining unit heat supply quantity allocation information;
obtaining a unit heating efficiency conversion coefficient based on a heating system operation mode of the thermal power plant;
taking the ratio of the unit heat supply quantity distribution information to the unit heat supply efficiency conversion coefficient as unit heat generation quantity distribution information;
monitoring operation data of a heat supply unit of the thermal power plant to obtain a real-time heating data stream of the unit;
inputting the heat generation amount distribution information of the unit and the real-time data stream of the heat generation of the unit into a heat supply unit parameter adjustment model for analysis to obtain heat supply unit parameter adjustment information;
and adjusting, controlling and controlling the heat supply efficiency of the thermal power plant based on the heat supply unit parameter adjusting information.
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
obtaining heat supply demand information of a target user;
performing heat allocation according to the target user heat supply demand information, and determining unit heat supply quantity allocation information;
obtaining a unit heating efficiency conversion coefficient based on a heating system operation mode of the thermal power plant;
taking the ratio of the unit heat supply quantity distribution information to the unit heat supply efficiency conversion coefficient as unit heat generation quantity distribution information;
monitoring operation data of a heat supply unit of the thermal power plant to obtain a real-time heating data stream of the unit;
inputting the heat generation amount distribution information of the unit and the real-time data stream of the heat generation of the unit into a heat supply unit parameter adjustment model for analysis to obtain heat supply unit parameter adjustment information;
and adjusting, controlling and controlling the heat supply efficiency of the thermal power plant based on the heat supply unit parameter adjusting information.
According to the heat supply efficiency adjusting method and system for the thermal power plant, the technical problems that in the prior art, the heat supply efficiency adjustment of the thermal power plant depends on the manual experience of staff of the thermal power plant, so that the heat supply efficiency of the thermal power plant cannot meet the actual heat supply requirement of a user, energy consumption is wasted and the heat supply experience of the user is poor are solved, the dependence of the heat supply efficiency adjustment on the manual experience is reduced, the adaptation degree of the heat supply efficiency of the thermal power plant and the user requirement is improved, and the heat supply experience of the user is improved are solved.
The foregoing description is only an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
Drawings
FIG. 1 is a schematic flow chart of a heating efficiency adjustment method of a thermal power plant according to an embodiment;
FIG. 2 is a schematic flow chart of determining unit heat supply distribution information in a heat supply efficiency adjustment method of a thermal power plant according to an embodiment;
FIG. 3 is a block diagram showing a heating efficiency adjusting system of a thermal power plant according to an embodiment;
fig. 4 is an internal structural diagram of a computer device in one embodiment.
Reference numerals illustrate: the system comprises a heat supply demand obtaining module 1, a heat distribution executing module 2, a conversion coefficient obtaining module 3, a heat distribution calculating module 4, a unit monitoring executing module 5, an adjusting parameter obtaining module 6 and an adjusting management and control executing module 7.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
As shown in fig. 1, the present application provides a heating efficiency adjustment method of a thermal power plant, the method comprising:
s100, obtaining heat supply demand information of a target user;
specifically, in this embodiment, the thermal power plant is a cogeneration power plant, and except for power production and supply, heat is supplied to unspecified users at a fixed heating time every year, high-temperature and high-pressure steam generated by a boiler of the thermal power plant enters a steam turbine to perform electric energy production, and part of the steam enters a heat supply unit to supply heat to unspecified users. The target users are unspecified users of the thermal power plant for the supply of thermal energy at fixed times per year, for example, the residents of northern urban cells.
The heat supply method of the thermal power plant is that a water inlet main pipe is adopted to convey hot water to a radiator or a floor heater in the home of the target user, and a water return main pipe collects cold water with the heat dissipation temperature reduced by the radiator or the floor heater and flows back to the thermal power plant for recycling.
In order to avoid the problem that the thermal power plant energy is unbalanced in thermal power supply and electric energy production and causes too high energy consumption or poor target user heat supply experience due to the fact that the thermal power plant thermal energy supply is not matched with the target user heat supply demand, the method adopts a letter or network communication mode to acquire target user heat supply demand information, the heat supply demand information comprises heat supply indoor temperature interval requirements and heat supply time interval requirements, and the heat supply demand information provides references for follow-up thermal power plant equipment regulation and control and heat supply efficiency improvement.
S200, performing heat allocation according to the heat supply demand information of the target user, and determining heat supply allocation information of the unit;
in one embodiment, as shown in fig. 2, the heat allocation is performed according to the target user heat demand information to determine unit heat supply distribution information, and the method step S200 provided in the present application further includes:
s210, obtaining unit demand heat supply information according to the target user heat supply demand information;
s220, carrying out use time analysis on the heat supply demand information of the target user to obtain a heat supply time change trend;
s230, integrating the unit demand heat supply information according to the heat supply time change trend to obtain demand heat supply distribution information;
and S240, obtaining heat supply increment prediction information, and determining heat supply quantity distribution information of the unit based on the unit demand heat supply information and the heat supply increment prediction information.
In one embodiment, the obtaining the heating increment prediction information, the method provided in the present application, step S240, further includes:
s241, obtaining heat supply data of a historical unit;
s242, performing sequence fitting on the heat supply data of the historical unit according to the time change characteristic to obtain a heat supply change characteristic curve;
s243, carrying out change trend analysis on the heat supply change characteristic curve to obtain a heat supply change time trend component;
and S244, obtaining the heat supply increment prediction information based on the heat supply change time trend component.
Specifically, in this embodiment, the heat supply requirement information includes a heat supply indoor temperature interval requirement and a heat supply time interval requirement, and the heat supply indoor temperature interval requirement of the target user is obtained by extracting according to the heat supply requirement information of the target user, where the heat supply indoor temperature interval requirement of the target user is an average value of the heat supply indoor temperature interval requirements of a plurality of users, and can reflect a collective requirement of the target user in a certain heat supply area.
And obtaining the unit demand heat supply information based on the indoor temperature interval requirement and the heat loss back-push calculation of the heat supply pipeline in the heat transfer process, wherein the unit demand heat supply information refers to a water supply temperature interval which actually flows out of a thermal power plant unit and enters a water supply main pipe.
And extracting and obtaining a heat supply time interval requirement based on the heat supply requirement information of the target users, wherein the heat supply time interval requirement is a heat supply time interval requirement given by a plurality of target users living in the same heat supply coverage area, counting the interval occupation ratio based on a plurality of groups of heat supply time interval requirements, completing the analysis of the using time to obtain the heat supply requirement occupation ratio of each hour split according to the hour, and generating a heat supply time change trend graph based on the heat supply requirement occupation ratio disassembled according to the time.
And integrating the unit demand heat supply information according to the heat supply time change trend, calculating to obtain the water supply temperature and circulating water flow of the highest point by taking the highest point of the heat supply demand change trend as a reference, calculating to obtain the corresponding water supply temperature and circulating water flow according to the numerical proportion of other coordinate points and the highest point of the heat supply time change trend, and generating the demand heat supply distribution information, wherein the demand heat supply distribution information is the thermal power plant unit control parameters of the water supply temperature and the circulating water flow at different times.
And after the obtained water supply temperature and the heat supply hot water after circulating water flow are regulated based on the heat supply distribution information of the requirements, the heat supply hot water enters the heat supply coverage area of the target user through the water inlet main pipe, and the heat supply distribution is performed secondarily according to the heat supply time interval requirements of different users, so that the heat supply tasks of different heat supply time requirements of the users are accurately met.
It should be understood that, in theory, the heat loss of the heating pipe (main pipe) in the heat transfer process is only related to the heat transfer distance, but in the actual heat transfer process of the main pipe, the heat loss in the heat transfer process is aggravated due to the change of the external environment temperature, so that the water supply temperature in the actual heat transfer process needs to be calculated and obtained by overlapping the heat loss of the environmental factors on the basis of the requirement of the heat supply temperature interval of the target user.
The heat supply increment prediction information is additional heat supply quantity prediction information for eliminating heat loss caused by environmental factors to the heat supply process, and the heat loss quantity of the actual heat supply process can be calculated and obtained by combining the heat loss caused by the heat supply distance on the basis of the heat supply increment prediction information.
The method for obtaining the heat supply increment prediction information comprises the steps of obtaining historical unit heat supply data, wherein the historical unit heat supply data are multiple groups of water supply temperature data for supplying heat to the same heat supply target area, and the multiple groups of water supply temperature data have time marks. And fitting the heat supply data of the historical unit according to the time change characteristics, namely according to the time identification sequences of the plurality of groups of water supply temperature data to generate a heat supply change characteristic curve, wherein the heat supply change characteristic curve reflects the influence condition of heat loss increment caused by external environment temperature change on the water supply temperature change.
And carrying out change trend analysis on the heat supply change characteristic curve, and carrying out smoothing treatment on an abnormal fluctuation section in the heat supply change curve to obtain a heat supply change time trend component, wherein the heat supply change time trend component reflects the overall change trend of the external environment temperature along with seasons and the overall change rule of the heat loss increment along with the external environment temperature. And obtaining the heat supply increment prediction information based on the heat supply change time trend component.
And optimizing the heat supply quantity distribution information of the unit obtained in advance based on the heat supply increment prediction information, obtaining the heat supply quantity distribution information of the unit for eliminating the heat loss increment caused by the change of the external environment temperature, and stably supplying heat according to the heat supply time requirement and the heat supply time requirement of the target user during the heat supply period based on the optimized heat supply quantity distribution information of the unit, thereby improving the adaptation degree of heat supply of the thermal power plant and the heat supply requirement of the target user and reducing the heat loss caused by the heat supply of the thermal power plant.
S300, obtaining a unit heating efficiency conversion coefficient based on a heating system operation mode of the thermal power plant;
s400, taking the ratio of the unit heat supply quantity distribution information to the unit heat supply efficiency conversion coefficient as unit heat generation quantity distribution information;
specifically, in this embodiment, the heat supply efficiency conversion coefficient of the unit is a heat supply unit operated by a heat supply system of the thermal power plant for heat supply, a ratio of heat actually applied to heat supply of a target user to actual heat generation amount of the heat supply unit in an operation process is obtained based on a heat generation data of unit time of the heat supply unit and heat supply data of heating water used for heating in a main pipe of the heat supply unit and applied to the heat supply unit for water supply in unit time, and the calculation of the heat supply efficiency conversion coefficient of the unit is performed based on the heat supply data and the heat generation data. The heat supply efficiency conversion coefficient of the unit can also be used for accurately representing the heat loss condition in the heat production process of the unit.
It should be understood that the unit heat supply quantity distribution information is heat supply data applied to a heat supply unit for heating water in a water supply main pipe, so that on the basis of obtaining the unit heat supply quantity distribution information, the unit heat supply quantity distribution information reflecting the unit heat generation data information of the thermal power plant required for realizing the unit heat supply quantity distribution information can be calculated and obtained by combining the unit heat supply efficiency conversion coefficient.
S500, monitoring operation data of a heat supply unit of a thermal power plant to obtain a real-time heating data stream of the unit;
in one embodiment, after the unit heating real-time data stream is obtained, the method step S500 provided in the present application further includes:
s510, setting data specification constraint conditions, wherein the data specification constraint conditions comprise normalization processing, data cleaning and format standardization;
s520, carrying out normalization processing on the unit heating real-time data stream to obtain a normalized unit heating data stream;
s530, performing traversal data cleaning based on the normalized unit heating data stream to obtain a normalized unit heating data stream;
s540, carrying out format standardization on the standardized unit heating data stream based on the data display rule to obtain a standard unit heating real-time data stream.
Specifically, in this embodiment, the unit heating real-time data stream is a real-time record of the time-varying condition of the data of the water supply temperature and the circulating water flow rate determined by the water supply temperature, the water return temperature, the pressure, the water flow rate and the like in the operation process of the heat supply unit of the thermal power plant.
Setting data specification constraint conditions, wherein the data specification constraint conditions comprise normalization processing, data cleaning and format standardization, and the data specification constraint conditions aim at performing normalization processing on the unit heating real-time data stream so that the unit heating real-time data stream can be used for performing heating unit parameter adjustment reference.
And carrying out normalization processing on the unit heating real-time data stream based on the data specification constraint condition to obtain a normalized unit heating data stream, carrying out traversal data cleaning based on the normalized unit heating data stream, and removing abnormal fluctuation data or abnormal data of a deviation constant in the normalized unit heating data stream to obtain the normalized unit heating data stream.
The method comprises the steps of presetting a data display rule, sorting data according to data types, sorting the data according to data types and data types according to data quantity of corresponding data types to generate a data table, carrying out format standardization on a normalized unit heating data stream based on the preset data display rule to obtain a standard unit heating real-time data stream, wherein compared with the unit heating real-time data stream, the standard unit heating real-time data stream removes manually-entered defect data or machine abnormal operation defect data, formatting is carried out on the data, data accuracy and visibility are optimized, and the standard unit heating real-time data stream replaces the unit heating real-time data stream to be used for carrying out reference for heat supply unit parameter adjustment determination.
According to the embodiment, the data of the directly obtained unit heating real-time data stream is effectively removed by manual or machine operation abnormal record data, and the data display rule is set to conduct data adjustment, so that the technical effects of obtaining the scientifically and accurately obtained standard unit heating real-time data stream with reduced data error amount and providing reference data for the later obtained more scientific and accurate heating unit adjustment parameters are achieved.
S600, inputting the heat generation amount distribution information of the unit and the real-time data stream of the heat generation of the unit into a heat supply unit parameter adjustment model for analysis to obtain heat supply unit parameter adjustment information;
in one embodiment, the unit heating value distribution information and the unit heating real-time data stream are input into a heating unit parameter adjustment model for analysis, so as to obtain heating unit parameter adjustment information, and the method provided in step S600 further includes:
s610, building a heat supply unit parameter adjustment model, wherein the heat supply unit parameter adjustment model comprises an information input layer, a deviation coefficient evaluation layer, an adjustment parameter analysis layer and an information output layer;
s620, inputting the unit heating value distribution information and the unit heating real-time data stream into the deviation coefficient evaluation layer through the information input layer to obtain a unit heating value deviation coefficient;
s630, carrying out parameter analysis on the heat deviation coefficient of the unit based on the adjustment parameter analysis layer to obtain an adaptive unit adjustment parameter;
and S640, outputting a model result of the adaptive unit adjusting parameter based on the information output layer.
In one embodiment, the method steps provided herein further comprise:
s611, verifying analysis effects of the heating unit parameter adjustment model to obtain model adjustment accuracy;
s612, if the model adjustment accuracy does not reach the preset model accuracy, obtaining a model adjustment deviation degree based on a difference value between the model adjustment accuracy and the preset model accuracy;
and S613, optimizing and training the heating unit parameter adjustment model based on a PSO algorithm and the model adjustment deviation degree to obtain the heating unit parameter optimization adjustment model.
Specifically, in this embodiment, the optimal obtaining method of the parameter adjustment information of the heating unit is based on a parameter adjustment model of the heating unit, where the parameter adjustment model of the heating unit is a multi-layer data processing model including an information input layer, a deviation coefficient evaluation layer, an adjustment parameter analysis layer, and an information output layer.
The unit heating value distribution information is thermal power plant unit heat generation data information required by the unit heating value distribution information, and theoretical thermal power plant unit heat generation requirement data for realizing target user heat supply requirement information. And the unit heating real-time data stream is actual thermal power plant unit heat generation data. The deviation coefficient evaluation layer is a data deviation calculation layer and is used for evaluating the deviation degree between the actual unit heat generation amount of the current heat supply unit and the unit heat generation data required by theory based on unit heat generation amount distribution information and unit heat generation real-time data flow, and the unit heat deviation coefficient is obtained.
The adjusting parameter analysis layer generates an adaptive unit adjusting parameter which is applied to the adjustment of the heating unit equipment of the thermal power plant and improves the heating efficiency of the heating unit of the thermal power plant based on the unit heat deviation coefficient output by the deviation coefficient evaluation layer, wherein the adaptive unit adjusting parameter comprises a water supply temperature adjusting parameter, a pressure adjusting parameter and a water flow adjusting parameter.
The adjusting parameter analysis layer is built based on a PSO algorithm, specifically, a plurality of groups of sample adaptive unit adjusting parameters which correspond to a plurality of sample unit heat deviation coefficients and are adjusted based on manual experience are obtained based on big data acquisition, a coordinate system is built by the heat supply unit adjusting parameter items which correspond to the plurality of groups of sample adaptive unit adjusting parameters, particle points are built according to the plurality of groups of sample adaptive unit adjusting parameters and the corresponding plurality of sample unit heat deviation coefficients to complete the construction of a particle swarm optimization space, and each particle point reflects the water supply temperature, pressure and water flow parameter adjusting information under the sample unit heat deviation coefficients.
And inputting the unit heat deviation coefficient output by the deviation coefficient evaluation layer into a particle swarm optimization space of the regulation parameter analysis layer, and traversing to obtain parameter regulation information corresponding to a sample unit heat deviation coefficient with the same value as the unit heat deviation coefficient or the minimum deviation degree, namely the heat supply unit parameter regulation information.
And carrying out analysis effect verification on the heating unit parameter adjustment model based on a plurality of groups of sample adaptive unit adjustment parameter extraction part data which correspond to a plurality of sample unit heat deviation coefficients and are used for carrying out heating unit adjustment based on manual experience, so as to obtain model adjustment accuracy, for example, the model adjustment accuracy is 88%, and the preset model accuracy is 95%.
If the model adjustment accuracy does not reach the preset model accuracy, obtaining a model adjustment deviation degree based on a difference value between the model adjustment accuracy and the preset model accuracy; and based on a PSO algorithm and the model adjustment deviation degree, performing iterative optimization training on the heating unit parameter adjustment model, and continuously performing optimal adjustment parameter acquisition and output in a particle swarm optimization space to obtain the heating unit parameter optimization adjustment model.
And inputting the unit heating value distribution information and the unit heating real-time data stream into the deviation coefficient evaluation layer through the information input layer to obtain a unit heating value deviation coefficient, carrying out parameter analysis on the unit heating value deviation coefficient based on the particle swarm optimization space of the adjustment parameter analysis layer to obtain an adaptive unit adjustment parameter, and outputting a model result of the adaptive unit adjustment parameter based on the information output layer.
According to the embodiment, the deviation degree between the actual unit heat generation amount of the current heat supply unit and the theoretical required unit heat generation data is accurately known based on the heat supply unit parameter adjustment model, the heat supply unit heat generation deviation correction parameter is obtained by separating from the manual experience, the heat supply unit heat generation parameter adjustment is scientifically and dynamically carried out, and the technical effect of heat supply efficiency of the heat supply unit of the thermal power plant is achieved.
And S700, adjusting, controlling and controlling the heat supply efficiency of the thermal power plant based on the heat supply unit parameter adjusting information.
Specifically, in this embodiment, water supply temperature parameter adjustment information, pressure parameter adjustment information and water flow parameter adjustment information are obtained based on the heat supply unit parameter adjustment information, and parameter adjustment of the heat supply unit of the thermal power plant is correspondingly performed based on the water supply temperature parameter adjustment information, the pressure parameter adjustment information and the water flow parameter adjustment information, so that heat supply efficiency of the thermal power plant is effectively adjusted, managed and controlled, actual real-time heat generation of the heat supply unit of the thermal power plant meets heat supply requirement information of a target user, energy consumption of the thermal power plant is balanced, heat supply requirements of the target user are met adaptively, and heat supply experience of the target user is improved.
In one embodiment, the method steps provided herein further comprise:
s810, obtaining a unit thermal conversion response rate based on the operation mode of the heat supply system of the thermal power plant;
s820, obtaining a thermal conversion delay coefficient of the unit according to the thermal conversion response rate of the unit;
s830, performing heat loss analysis on the thermal conversion delay coefficient of the unit to obtain a thermal conversion loss factor;
and S840, correcting the heat supply unit parameter adjustment information based on the heat conversion loss factor.
Specifically, in this embodiment, based on the operation mode of the heat supply system of the thermal power plant, the unit thermal conversion response rate reflecting the response efficiency of the thermoelectric unit of the power plant to the execution of the thermal effect control adjustment is obtained, and according to the unit thermal conversion response rate, a unit thermal conversion delay coefficient is obtained, where the unit thermal conversion delay coefficient is a delay time length for executing the thermal effect control adjustment, a proportion of thermoelectric unit heat loss occurring in a time span of the unit thermal conversion delay coefficient is obtained based on extraction of thermoelectric unit operation data, the thermal conversion loss factor is obtained, and the heat unit parameter adjustment information is corrected based on the thermal conversion loss factor, so that a phenomenon of thermoelectric unit heat loss caused by delay deviation in a thermoelectric unit thermal conversion process is eliminated, and a technical effect of obtaining heat unit parameter adjustment information of thermoelectric unit heat loss generated by a correction system delay phenomenon and improving the accuracy of the adjustment of the thermoelectric unit parameter of the thermal power plant is achieved.
In one embodiment, as shown in fig. 3, there is provided a heating efficiency adjustment system of a thermal power plant, comprising: the heat supply demand obtains module 1, heat distribution execution module 2, conversion coefficient obtains module 3, the distribution that generates heat calculates module 4, unit monitoring execution module 5, regulation parameter obtains module 6, regulation management and control execution module 7, wherein:
the heat supply demand acquisition module 1 is used for acquiring heat supply demand information of a target user;
the heat distribution execution module 2 is used for carrying out heat distribution according to the heat supply demand information of the target user and determining heat supply distribution information of the unit;
the conversion coefficient obtaining module 3 is used for obtaining the conversion coefficient of the heat supply efficiency of the unit based on the operation mode of the heat supply system of the thermal power plant;
the heating distribution calculation module 4 is used for taking the ratio of the unit heating quantity distribution information to the unit heating efficiency conversion coefficient as unit heating quantity distribution information;
the unit monitoring execution module 5 is used for monitoring operation data of a heat supply unit of the thermal power plant to obtain a real-time heating data stream of the unit;
the adjusting parameter obtaining module 6 is used for inputting the unit heating value distribution information and the unit heating real-time data stream into a heating unit parameter adjusting model for analysis to obtain heating unit parameter adjusting information;
and the regulation and control execution module 7 is used for regulating and controlling the heat supply efficiency of the thermal power plant based on the heat supply unit parameter regulation information.
In one embodiment, the heat distribution execution module 2 further includes:
the heat supply demand obtaining unit is used for obtaining unit demand heat supply information according to the target user heat supply demand information;
the heat supply time-varying analysis unit is used for carrying out time-of-use analysis on the heat supply demand information of the target user to obtain a heat supply time variation trend;
the time-varying trend integrating unit is used for integrating the unit demand heat supply information according to the heat supply time variation trend to obtain demand heat supply distribution information;
and the heat supply distribution obtaining unit is used for obtaining heat supply increment prediction information and determining heat supply quantity distribution information of the unit based on the unit demand heat supply information and the heat supply increment prediction information.
In one embodiment, the heating distribution obtaining unit further includes:
the historical data acquisition unit is used for acquiring heat supply data of the historical unit;
the sequence fitting execution unit is used for performing sequence fitting on the heat supply data of the historical unit according to the time change characteristic to obtain a heat supply change characteristic curve;
the change trend analysis unit is used for carrying out change trend analysis on the heat supply change characteristic curve to obtain a heat supply change time trend component;
and the heat supply increment prediction unit is used for obtaining the heat supply increment prediction information based on the heat supply change time trend component.
In one embodiment, the crew monitoring execution module 5 further comprises:
the constraint condition setting unit is used for setting data specification constraint conditions, wherein the data specification constraint conditions comprise normalization processing, data cleaning and format standardization;
the normalization processing unit is used for carrying out normalization processing on the unit heating real-time data stream to obtain a normalized unit heating data stream;
the data cleaning execution unit is used for performing traversal data cleaning based on the normalized unit heating data stream to obtain the normalized unit heating data stream;
and the data standardization executing unit is used for carrying out format standardization on the standardized unit heating data stream based on the data display rule to obtain a standard unit heating real-time data stream.
In one embodiment, the adjustment parameter obtaining module 6 further includes:
the model construction execution unit is used for constructing a heat supply unit parameter adjustment model, and the heat supply unit parameter adjustment model comprises an information input layer, a deviation coefficient evaluation layer, an adjustment parameter analysis layer and an information output layer;
the deviation coefficient obtaining unit is used for inputting the unit heating value distribution information and the unit heating real-time data stream into the deviation coefficient evaluating layer through the information input layer to obtain a unit heating value deviation coefficient;
the parameter analysis execution unit is used for carrying out parameter analysis on the heat deviation coefficient of the unit based on the adjustment parameter analysis layer to obtain an adaptive unit adjustment parameter;
and the model result output unit is used for outputting the model result of the adaptive unit adjusting parameter based on the information output layer.
In one embodiment, the adjustment parameter obtaining module 6 further includes:
the analysis effect verification unit is used for verifying the analysis effect of the heating unit parameter adjustment model to obtain the model adjustment accuracy;
a model deviation calculation unit, configured to obtain a model adjustment deviation degree based on a difference between the model adjustment accuracy and the preset model accuracy if the model adjustment accuracy does not reach the preset model accuracy;
and the model optimization training unit is used for carrying out optimization training on the heating unit parameter adjustment model based on a PSO algorithm and the model adjustment deviation degree to obtain the heating unit parameter optimization adjustment model.
In one embodiment, the system provided herein further comprises:
the response efficiency obtaining unit is used for obtaining a unit thermal conversion response rate based on the operation mode of the heat supply system of the thermal power plant;
the delay coefficient obtaining unit is used for obtaining a unit thermal conversion delay coefficient according to the unit thermal conversion response rate;
the heat loss analysis execution unit is used for carrying out heat loss analysis on the unit heat conversion delay coefficient to obtain a heat conversion loss factor;
and the unit parameter correction unit is used for correcting the heat supply unit parameter adjustment information based on the heat conversion loss factor.
For a specific embodiment of a heating efficiency adjustment system of a thermal power plant, reference may be made to the above embodiment of a heating efficiency adjustment method of a thermal power plant, and the description thereof will not be repeated here. The above-mentioned respective modules in the heating efficiency adjusting apparatus of a thermal power plant may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 4. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing news data, time attenuation factors and other data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by a processor, implements a heating efficiency adjustment method for a thermal power plant.
Those skilled in the art will appreciate that the structures shown in FIG. 4 are block diagrams only and do not constitute a limitation of the computer device on which the present aspects apply, and that a particular computer device may include more or less components than those shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of: obtaining heat supply demand information of a target user; performing heat allocation according to the target user heat supply demand information, and determining unit heat supply quantity allocation information; obtaining a unit heating efficiency conversion coefficient based on a heating system operation mode of the thermal power plant; taking the ratio of the unit heat supply quantity distribution information to the unit heat supply efficiency conversion coefficient as unit heat generation quantity distribution information; monitoring operation data of a heat supply unit of the thermal power plant to obtain a real-time heating data stream of the unit; inputting the heat generation amount distribution information of the unit and the real-time data stream of the heat generation of the unit into a heat supply unit parameter adjustment model for analysis to obtain heat supply unit parameter adjustment information; and adjusting, controlling and controlling the heat supply efficiency of the thermal power plant based on the heat supply unit parameter adjusting information.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (10)
1. A heating efficiency adjustment method of a thermal power plant, characterized by comprising:
obtaining heat supply demand information of a target user;
performing heat allocation according to the target user heat supply demand information, and determining unit heat supply quantity allocation information;
obtaining a unit heating efficiency conversion coefficient based on a heating system operation mode of the thermal power plant;
taking the ratio of the unit heat supply quantity distribution information to the unit heat supply efficiency conversion coefficient as unit heat generation quantity distribution information;
monitoring operation data of a heat supply unit of the thermal power plant to obtain a real-time heating data stream of the unit;
inputting the heat generation amount distribution information of the unit and the real-time data stream of the heat generation of the unit into a heat supply unit parameter adjustment model for analysis to obtain heat supply unit parameter adjustment information;
and adjusting, controlling and controlling the heat supply efficiency of the thermal power plant based on the heat supply unit parameter adjusting information.
2. The method of claim 1, wherein the determining unit heat supply distribution information by heat distribution according to the target user heat supply demand information comprises:
obtaining unit demand heat supply information according to the target user heat supply demand information;
analyzing the service time of the heat supply demand information of the target user to obtain a heat supply time change trend;
integrating the unit demand heat supply information according to the heat supply time change trend to obtain demand heat supply distribution information;
and obtaining heat supply increment prediction information, and determining heat supply quantity distribution information of the unit based on the unit demand heat supply information and the heat supply increment prediction information.
3. The method of claim 2, wherein the obtaining heating increment prediction information comprises:
obtaining heat supply data of a historical unit;
performing sequence fitting on the heat supply data of the historical unit according to the time variation characteristic to obtain a heat supply variation characteristic curve;
carrying out change trend analysis on the heat supply change characteristic curve to obtain a heat supply change time trend component;
and obtaining the heat supply increment prediction information based on the heat supply change time trend component.
4. The method of claim 1, wherein after obtaining the crew heating real-time data stream, comprising:
setting data specification constraint conditions, wherein the data specification constraint conditions comprise normalization processing, data cleaning and format standardization;
normalizing the unit heating real-time data stream to obtain a normalized unit heating data stream;
performing traversal data cleaning based on the normalized unit heating data stream to obtain a normalized unit heating data stream;
and carrying out format standardization on the normalized unit heating data stream based on the data display rule to obtain a standard unit heating real-time data stream.
5. The method of claim 1, wherein inputting the unit heating value allocation information and the unit heating real-time data stream into a heating unit parameter adjustment model for analysis, obtaining heating unit parameter adjustment information, comprises:
building a heating unit parameter adjustment model, wherein the heating unit parameter adjustment model comprises an information input layer, a deviation coefficient evaluation layer, an adjustment parameter analysis layer and an information output layer;
inputting the unit heating value distribution information and the unit heating real-time data stream into the deviation coefficient evaluation layer through the information input layer to obtain a unit heating value deviation coefficient;
performing parameter analysis on the heat deviation coefficient of the unit based on the adjustment parameter analysis layer to obtain an adaptive unit adjustment parameter;
and outputting a model result of the adaptive unit adjusting parameter based on the information output layer.
6. The method of claim 1, wherein the method comprises:
performing analysis effect verification on the heating unit parameter adjustment model to obtain model adjustment accuracy;
if the model adjustment accuracy does not reach the preset model accuracy, obtaining a model adjustment deviation degree based on a difference value between the model adjustment accuracy and the preset model accuracy;
and carrying out optimization training on the heating unit parameter adjustment model based on a PSO algorithm and the model adjustment deviation degree to obtain the heating unit parameter optimization adjustment model.
7. The method of claim 1, wherein the method comprises:
based on the operation mode of the heat supply system of the thermal power plant, obtaining the thermal conversion response rate of the unit;
obtaining a thermal conversion delay coefficient of the unit according to the thermal conversion response rate of the unit;
carrying out heat loss analysis on the thermal conversion delay coefficient of the unit to obtain a thermal conversion loss factor;
and correcting the heat supply unit parameter adjustment information based on the heat conversion loss factor.
8. A heating efficiency regulating system of a thermal power plant, the system comprising:
the heat supply demand acquisition module is used for acquiring heat supply demand information of a target user;
the heat distribution execution module is used for carrying out heat distribution according to the heat supply demand information of the target user and determining heat supply distribution information of the unit;
the conversion coefficient obtaining module is used for obtaining the conversion coefficient of the heat supply efficiency of the unit based on the operation mode of the heat supply system of the thermal power plant;
the heating distribution calculation module is used for taking the ratio of the unit heating quantity distribution information to the unit heating efficiency conversion coefficient as unit heating quantity distribution information;
the unit monitoring execution module is used for monitoring operation data of a heat supply unit of the thermal power plant to obtain a real-time heating data stream of the unit;
the adjusting parameter obtaining module is used for inputting the unit heating value distribution information and the unit heating real-time data stream into a heating unit parameter adjusting model for analysis to obtain heating unit parameter adjusting information;
and the regulation control execution module is used for regulating and controlling the heat supply efficiency of the thermal power plant based on the heat supply unit parameter regulation information.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
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