CN111486428A - Boiler load control method and system and storage medium - Google Patents
Boiler load control method and system and storage medium Download PDFInfo
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- CN111486428A CN111486428A CN202010306487.1A CN202010306487A CN111486428A CN 111486428 A CN111486428 A CN 111486428A CN 202010306487 A CN202010306487 A CN 202010306487A CN 111486428 A CN111486428 A CN 111486428A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F22—STEAM GENERATION
- F22B—METHODS OF STEAM GENERATION; STEAM BOILERS
- F22B35/00—Control systems for steam boilers
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2477—Temporal data queries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention relates to a boiler load control method, a system and a storage medium, relating to the technical field of gas boiler control and comprising the following steps: step S100: the main control terminal obtains the estimated total heat supply quantity of all heat supply targets in the next time period; step S200: the method comprises the steps that a main control terminal determines an opened boiler and a heat supply load condition of the opened corresponding boiler in advance based on heat supply load conditions of different boilers and estimated heat supply total heat of a next time period; step S300: the main control terminal starts the determined boiler before the next time period and adjusts the heat supply load of the corresponding boiler; step S400: the main control terminal performs adaptive fine adjustment on the number of the boilers and the heat supply load of the started boilers based on the actual heat supply load requirements of all heat supply targets in the next time period to meet the actual heat supply load requirements, wherein the fine adjustment is preferentially performed on the boilers with the smaller maximum heat supply load. The invention has the effects of accurately controlling the heat supply of the boiler, improving the comprehensive operation efficiency of the boiler and saving energy.
Description
Technical Field
The invention relates to the technical field of gas boiler control, in particular to a boiler load control method, a boiler load control system and a storage medium.
Background
The boiler is an energy conversion device, the energy input to the boiler comprises chemical energy and electric energy in fuel, and the boiler outputs steam, high-temperature water or an organic heat carrier with certain heat energy.
An indirect heating system of a gas boiler for heat supply is shown in fig. 5, and mainly comprises a boiler and a user, wherein a high-temperature heat source is generated by the boiler and is sent to the user through a heating network.
In this direct heating mode, the boiler load is a very important parameter, which refers to the capacity of the boiler to produce steam per unit time. Before supplying heat to users, the load of the boiler needs to be set so as to achieve a preset heating effect.
At present, the boiler load control technology is mainly manually operated, workers automatically and slowly adjust the coal supply amount according to the heat supply requirement of the current heat supply target, and the coal supply amount is gradually increased and decreased completely through personal experience or experiments.
The above prior art solutions have the following drawbacks, on one hand, that the lifting is in accordance with the stepped addition and subtraction of fuel quantity when the boiler load is manually operated. Due to the fact that the quantity of the added and reduced fuel quantity is not accurate, an operator cannot watch the existing running state at all times, and due to the fact that the operating levels are different, the situation that the fuel quantity is too high or too low often occurs in the running process, therefore, load control of the boiler is not stable, and certain adverse effects are brought to the quality of steam and the running stability of the boiler.
Disclosure of Invention
The invention aims to provide a boiler load control method which has the effects of accurately controlling the heat supply of a boiler, improving the comprehensive operation efficiency of the boiler and saving energy.
The above object of the present invention is achieved by the following technical solutions:
a boiler load control method comprising the steps of:
step S100: the main control terminal obtains the estimated total heat supply quantity of all heat supply targets in the next time period;
step S200: the method comprises the steps that a main control terminal determines an opened boiler and a heat supply load condition of the opened corresponding boiler in advance based on heat supply load conditions of different boilers and estimated heat supply total heat of a next time period;
step S300: the main control terminal starts the determined boiler before the next time period and adjusts the heat supply load of the corresponding boiler;
step S400: the main control terminal performs adaptive fine adjustment on the number of the boilers and the heat supply load of the started boilers based on the actual heat supply load requirements of all heat supply targets in the next time period to meet the actual heat supply load requirements, wherein the fine adjustment is preferentially performed on the boilers with the smaller maximum heat supply load.
By adopting the technical scheme, the estimation of the total heat supply quantity in the next time period is effectively realized through the arrangement of the step S100 and the step S200, the condition of the opened boiler and the heat supply load of the corresponding boiler is determined by combining the estimated total heat supply quantity, and the advance opening of the determined boiler is realized by combining the arrangement of the step S300 and the step S400, so that the adjustment of the heat supply load of the subsequent boiler is reduced, the heat supply load requirement is met, and the comprehensive operation efficiency of the boiler is improved.
The invention is further configured to:
step S100 includes the steps of:
step S110: the main control terminal takes the next time period as a query object in a first database, queries the estimated total heat supply quantity preset by the user in the next time period, and takes the estimated total heat supply quantity as the estimated total heat supply quantity in the next time period, if the estimated total heat supply quantity is not queried, the step S120 is carried out;
the first database is a preset database and stores the total heat supply quantity of all heat supply targets in the future planned at different time periods;
step S120: the main control terminal predicts the total heat supply quantity of the next time period based on the situation of the estimated total heat supply quantity of the past time period and the actual total heat supply quantity of the corresponding past time period.
By adopting the technical scheme, the total heat supply quantity is determined based on whether the user has the heat supply target preset in the next time period or not through the combination of the step S110 and the step S120, so that the total heat supply quantity in the next time period can be flexibly and accurately analyzed, and the boiler which is determined to be started and the heat supply load condition of the corresponding boiler which is started can be more accurately determined.
The invention is further configured to:
step S120 includes the steps of:
step S121: the main control terminal takes the historical time period as an inquiry object to be arranged in a second database, inquires the actual total heat supply quantity and the estimated total heat supply quantity of the corresponding historical time period, and the second database is a preset database and stores the actual total heat supply quantity and the estimated total heat supply quantity corresponding to the historical time period and the corresponding historical time period;
step S122: the main control terminal starts the heat supply prediction module to analyze the predicted total heat supply in the next time period, and the specific calculation formula of the heat supply prediction module is as follows:
Qt=a1Bt-1+a2Bt-2+a3Bt-3+a4Bi；
a1-actual heating total heat weight coefficient of previous first time period;
a2-actual heating total heat weight coefficient of the previous second time period;
a3-actual heating total heat weight coefficient of the previous third time period;
a4-a weighting factor of the heating heat for a time period with the current heating load;
Bt-1-actual total heat supplied during the previous first time period;
Bt-2-actual total heat supplied during the previous second time period;
Bt-3-actual total heat supplied during the previous third period;
Bi-heating heat for a period of time with the current heating load;
Qt-an estimated value of the total heat supplied for the next time period.
By adopting the technical scheme, the method effectively discloses that when the total heat supply quantity of the next time period is not set by the user through the setting of the step S121 and the step S122, accurate calculation can be carried out through the heat supply prediction module, so that the boiler which is determined to be started and the heat supply load condition of the corresponding boiler which is started are more accurately predicted.
The invention is further configured to:
step S120 further includes step S123, which is arranged after step S122, where step S123 specifically includes the following steps:
the main control terminal takes actual heat supply total heat quantity of the first three time periods as an output value, is used for calculating actual heat supply total heat quantity of the first time periods of the estimated heat supply total heat quantity of the corresponding time periods and heat supply heat quantity of a time period of the real-time heat supply load before the corresponding time periods as input values, and starts the neural network module to calculate a1、a2、a3、a4And will calculate a1、a2、a3、a4The calculation of the estimated total heat of the heating in the next time period is applied.
By adopting the technical scheme, the a is realized by combining the arrangement of the master control terminal and the neural network module1、a2、a3、a4The accuracy of the total heat supply heat estimation in the next time period is indirectly improved.
The invention is further configured to:
step S200 includes the steps of:
step S210: the main control terminal calls a third database to obtain heat supply loads corresponding to different boilers, wherein the third database is a preset database and stores boiler numbers and heat supply loads of boilers with corresponding numbers;
step S220: and the main control terminal calculates and obtains the total heat supply load based on the total heat supply predicted in the next time period as a dividend, the specific time of the next time period is used as a divisor, at least heating loads are added in sequence according to the maximum heating load of the boiler until the sum of the boiler loads reaches or exceeds the total heat supply load, the boiler corresponding to the added heating load is used as the boiler which is determined to be started, the sum of the heating loads of the started boiler is adjusted to be consistent with the total heat supply load, and the boiler with the larger heat supply load is preferentially started to reach the maximum heat supply load value.
By adopting the technical scheme, the combination arrangement of the step S210 and the step S220 discloses how to arrange the boiler based on the predicted total heat supply to meet the requirement, and the starting of the boiler is reduced as much as possible in the arranging process so as to meet the requirement of the boiler through the reduced boiler.
The invention is further configured to:
step S200 further includes step S230, which is provided after step S220:
if the predicted total heat supply load exceeds the sum of the heat supply loads of all numbered boilers, the master control terminal calls a fourth database to acquire the contact telephone of the responsible person and informs the responsible person of the information that the heat supply of the related boiler does not meet the heat supply requirement of the predicted boiler through a voice prompter, and the fourth database is a preset database and stores the contact telephone of the responsible person.
By adopting the technical scheme, the voice prompter can be used for timely notifying the responsible person when the boiler heat supply does not meet the predicted boiler heat supply requirement of the next time period through the setting of the step S230, so that the responsible person can be prepared in advance.
The invention also aims to provide a boiler load control system which can predict the required heat supply amount in the next time period and perform management and control on a plurality of boilers before the next time period comes, so that the adjustment range of the boilers is reduced while the heat supply requirement is met, and the energy is saved.
The system has the effects of accurately controlling the heat supply of the boiler, improving the comprehensive operation efficiency of the boiler and saving energy.
The above object of the present invention is achieved by the following technical solutions:
a boiler load control system comprising a memory, a processor and a program stored on said memory and executable on said processor, the program being capable of being loaded and executed by the processor to implement the boiler load control method as claimed in the preceding claim.
By adopting the technical scheme, the total heat supply quantity is estimated in the next time period, the boiler which is started and the heat supply load condition which is started by the corresponding boiler are determined by combining the estimated total heat supply quantity, and the number management and control mode of starting the boiler is determined, so that the fluctuation caused by boiler adjustment is reduced, and the heat supply requirement is met.
The third purpose of the present invention is to provide a computer storage medium, which can store corresponding programs, and can realize accurate control of the boiler through the calling of the programs, thereby reducing energy consumption.
The above object of the present invention is achieved by the following technical solutions:
a computer storage medium comprising a program which is loadable by a processor and which, when executed, carries out the boiler load control method of the preceding claim.
By adopting the technical scheme, the program of the boiler load control method can be stored, the processor can conveniently call the degree when required, the boiler is controlled and controlled, and the energy loss is reduced.
In conclusion, the beneficial technical effects of the invention are as follows: the heat supply requirement of the next time period in the future is predicted, and the boiler is controlled in advance based on the prediction result, so that the trouble of large regulation and control amplitude of the follow-up boiler is reduced, and the energy loss is reduced.
Drawings
FIG. 1 is a schematic diagram of the overall steps of the boiler load control method of the present invention.
Fig. 2 is a detailed step diagram of step S100 in fig. 1.
Fig. 3 is a detailed step diagram of step S120 in fig. 2.
Fig. 4 is a detailed step diagram of step S200 in fig. 1.
Fig. 5 is a schematic view of an indirect heating system of a gas boiler for heating.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
Referring to fig. 1, a method for controlling a boiler load according to the present invention includes steps S100 to S400.
In step S100, the main control terminal obtains the estimated total heat of heat supply for all heat supply targets in the next time period.
The step S100 can be divided into steps S110 to S120, referring to fig. 2.
In step S110, the main control terminal queries the estimated total heat supply amount preset by the user in the next time period as a query object in a first database, and uses the estimated total heat supply amount as the estimated total heat supply amount in the next time period, if the estimated total heat supply amount is not queried, there is step S120, in which the first database is a preset database and stores the total heat supply amounts planned by all heat supply targets in future in different time periods.
The main control terminal mentioned in step S110 is preferably a central processing unit.
In step S120, the main control terminal predicts the total heat supply amount for the next time period based on the predicted total heat supply amount for the past time period and the actual total heat supply amount for the corresponding past time period.
The step S120 can be further divided into steps S121 to S123, referring to fig. 3.
In step S121, the main control terminal uses the historical time period as a query object to query the second database to obtain the actual total heat supply amount and the estimated total heat supply amount of the corresponding historical time period, where the second database is a preset database and stores the actual total heat supply amount and the estimated total heat supply amount corresponding to the historical time period and the corresponding historical time period.
In step S122, the main control terminal starts the heat supply prediction module to analyze the predicted total heat supply in the next time period, and the calculation formula of the heat supply prediction module is as follows: qt=a1Bt-1+a2Bt-2+a3Bt-3+a4Bi；a1-actual heating total heat weight coefficient of previous first time period; a is2-actual heating total heat weight coefficient of the previous second time period; a is3-actual heating total heat weight coefficient of the previous third time period; a is4-a weighting factor of the heating heat for a time period with the current heating load; b ist-1-actual total heat supplied during the previous first time period; b ist-2-actual total heat supplied during the previous second time period; b ist-3-actual total heat supplied during the previous third period; b isi-heating heat for a period of time with the current heating load; qt-an estimated value of the total heat supplied for the next time period.
In step S123, the main control terminal starts the neural network module to calculate a based on the actual total heat supply amount in the first three time periods as an output value, the actual total heat supply amount in the first several time periods for calculating the estimated total heat supply amount in the corresponding time period and the heat supply amount in the real-time heat supply load before the corresponding time period lasting for one time period as an input value, and calculates a1、a2、a3、a4And will calculate a1、a2、a3、a4The calculation of the estimated total heat of the heating in the next time period is applied.
For example, assume the actual total heat supplied, Q, of the previous first time periodt1.8 x 10^5 joules, corresponding to the actual total heat of heating for the first several periods as follows: b ist-1Is 10^5 joules, Bt-2Is 2 x 10^5 joules, Bt-3Is 1.5 x 10^5, Bt-4Is 17/8 x 10 < Lambda > 5J.
Actual total heat supply quantity Q in the previous second periodt10^5 joules, the actual total heat supply amount corresponding to the previous time periods is respectively as follows: b ist-1Is 2 x 10^5 joules, Bt-2Is 1.5 x 10^5 joules, Bt-3Is 4 x 10^5 joules, Bt-4Is 10^5 joules.
Actual total heat supply quantity Q in the first third periodt2 x 10^5 joules, corresponding to the actual total heat supplied for the first several periods as follows: b ist-1Is 1.5 x 10^5 joules, Bt-2Is 4 x 10^5 joules, Bt-3Is 13/6X 10^5 joules, Bt-4Is 10^5 joules.
In conclusion, the master control terminal starts the neural network and can calculate a1To a4Each of (1)Values are specifically as follows: a is1Is 0.1, a2Is 0.2, a3Is 0.3, a4Is 0.4, then based on Qt=a1Bt-1+a2Bt-2+a3Bt-3+a4BiThe total heating heat prediction of the next time period can be made, and if the heating heat of the current heating load lasting for one time period is 3 x 10^5 joules, QtIs 1.98 x 10^5 joules.
In step S200, the main control terminal determines in advance the started boiler and the heating load condition of the corresponding boiler based on the heating load conditions of different boilers and the estimated total heating heat in the next time period.
The step S200 can be divided into steps S210 to S230, referring to fig. 4.
In step S210, the main control terminal calls a third database to obtain the heat supply loads corresponding to different boilers, where the third database is a preset database and stores boiler numbers and the heat supply loads of boilers with corresponding numbers.
In step S220, the main control terminal calculates and obtains a total heat supply load based on the total heat supply amount predicted in the next time period as a dividend, and the specific time of the next time period as a divisor, and adds the heat supply loads in sequence from at least to some extent according to the maximum heat supply load of the boiler until the sum of the boiler loads reaches or exceeds the total heat supply load, and uses the boiler corresponding to the added heat supply load as a boiler determined to be turned on, and adjusts the sum of the heat supply loads of the turned-on boilers to be consistent with the total heat supply load, wherein the boiler with a larger heat supply load is preferentially turned on to the maximum heat supply load value.
For example, the boilers are 3000W, 2000W, 1000W, 700W and 500W in sequence from at least one maximum heating load, and the total heating load is 5800W, so that the boilers with the maximum heating loads of 3000W, 2000W and 1000W are selected as the boilers to be started, wherein the boiler load with the maximum heating load of 1000W is started to 800W, and the rest two boilers are started to the maximum heating load, so as to meet the requirements of the heating loads.
In step S230, if the predicted total heat supply load exceeds the sum of the heat supply loads of all numbered boilers, the main control terminal calls a fourth database to obtain the contact number of the responsible person, and notifies the responsible person of the information that the heat supply of the related boiler does not meet the heat supply requirement of the predicted boiler through a voice prompt, where the fourth database is a preset database and stores the contact number of the responsible person.
The voice prompt mentioned in step S230 is a voice alarm.
In step S300, the main control terminal starts the determined boiler before the next time period, and adjusts the heating load of the corresponding boiler.
In step S400, the main control terminal performs adaptive fine-tuning on the number of boilers and the heating load of the turned-on boiler based on the actual heating load requirements of all heating targets in the next time period to meet the actual heating load requirements, where the fine-tuning is preferentially directed to the boiler with the smaller maximum heating load.
For example, the currently required heating load is 3000W, the predicted heating load is 3200W, three boilers are started, and the maximum loads are 1600W, 1400W and 800W from large to small, so that two boilers with larger loads are started to be the maximum loads, and the smallest boilers are closed, that is, the smaller loads are adjusted to reduce the application of the boilers.
An embodiment of the present invention provides a boiler load control system, which includes a memory, a processor, and a program stored in the memory and executable on the processor, and the program can be loaded and executed by the processor to implement any one of the boiler load control methods shown in fig. 1 to 4.
An embodiment of the present invention provides a computer-readable storage medium, which includes a program capable of being loaded and executed by a processor to implement a boiler load control method as any one of fig. 1-4.
Computer storage media include, for example: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The embodiments of the present invention are preferred embodiments of the present invention, and the scope of the present invention is not limited by these embodiments, so: all equivalent changes made according to the structure, shape and principle of the invention are covered by the protection scope of the invention.
Claims (8)
1. A boiler load control method, comprising the steps of:
step S100: the main control terminal obtains the estimated total heat supply quantity of all heat supply targets in the next time period;
step S200: the method comprises the steps that a main control terminal determines an opened boiler and a heat supply load condition of the opened corresponding boiler in advance based on heat supply load conditions of different boilers and estimated heat supply total heat of a next time period;
step S300: the main control terminal starts the determined boiler before the next time period and adjusts the heat supply load of the corresponding boiler;
step S400: the main control terminal performs adaptive fine adjustment on the number of the boilers and the heat supply load of the started boilers based on the actual heat supply load requirements of all heat supply targets in the next time period to meet the actual heat supply load requirements, wherein the fine adjustment is preferentially performed on the boilers with the smaller maximum heat supply load.
2. A boiler load control method according to claim 1, characterized in that step S100 comprises the steps of:
step S110: the main control terminal takes the next time period as a query object in a first database, queries the estimated total heat supply quantity preset by the user in the next time period, and takes the estimated total heat supply quantity as the estimated total heat supply quantity in the next time period, if the estimated total heat supply quantity is not queried, the step S120 is carried out;
the first database is a preset database and stores the total heat supply quantity of all heat supply targets in the future planned at different time periods;
step S120: the main control terminal predicts the total heat supply quantity of the next time period based on the situation of the estimated total heat supply quantity of the past time period and the actual total heat supply quantity of the corresponding past time period.
3. A boiler load control method according to claim 2, characterized in that step S120 comprises the steps of:
step S121: the main control terminal takes the historical time period as an inquiry object to be arranged in a second database, inquires the actual total heat supply quantity and the estimated total heat supply quantity of the corresponding historical time period, and the second database is a preset database and stores the actual total heat supply quantity and the estimated total heat supply quantity corresponding to the historical time period and the corresponding historical time period;
step S122: the main control terminal starts the heat supply prediction module to analyze the predicted total heat supply in the next time period, and the specific calculation formula of the heat supply prediction module is as follows:
Qt=a1Bt-1+a2Bt-2+a3Bt-3+a4Bi；
a1-actual heating total heat weight coefficient of previous first time period;
a2-actual heating total heat weight coefficient of the previous second time period;
a3-actual heating total heat weight coefficient of the previous third time period;
a4-a weighting factor of the heating heat for a time period with the current heating load;
Bt-1-actual total heat supplied during the previous first time period;
Bt-2-actual total heat supplied during the previous second time period;
Bt-3-actual total heat supplied during the previous third period;
Bi-heating heat for a period of time with the current heating load;
Qt-an estimated value of the total heat supplied for the next time period.
4. A boiler load control method according to claim 3, characterized in that step S120 further comprises a step S123 arranged after step S122, wherein step S123 is as follows:
the main control terminal takes actual heat supply total heat quantity of the first three time periods as an output value, is used for calculating actual heat supply total heat quantity of the first time periods of the estimated heat supply total heat quantity of the corresponding time periods and heat supply heat quantity of a time period of the real-time heat supply load before the corresponding time periods as input values, and starts the neural network module to calculate a1、a2、a3、a4And will calculate a1、a2、a3、a4The calculation of the estimated total heat of the heating in the next time period is applied.
5. The boiler load control method according to claim 4, wherein the step S200 comprises the steps of:
step S210: the main control terminal calls a third database to obtain heat supply loads corresponding to different boilers, wherein the third database is a preset database and stores boiler numbers and heat supply loads of boilers with corresponding numbers;
step S220: and the main control terminal calculates and obtains the total heat supply load based on the total heat supply predicted in the next time period as a dividend, the specific time of the next time period is used as a divisor, at least heating loads are added in sequence according to the maximum heating load of the boiler until the sum of the boiler loads reaches or exceeds the total heat supply load, the boiler corresponding to the added heating load is used as the boiler which is determined to be started, the sum of the heating loads of the started boiler is adjusted to be consistent with the total heat supply load, and the boiler with the larger heat supply load is preferentially started to reach the maximum heat supply load value.
6. A boiler load control method according to claim 5, characterized in that step S200 further comprises a step S230 arranged after step S220 of:
if the predicted total heat supply load exceeds the sum of the heat supply loads of all numbered boilers, the master control terminal calls a fourth database to acquire the contact telephone of the responsible person and informs the responsible person of the information that the heat supply of the related boiler does not meet the heat supply requirement of the predicted boiler through a voice prompter, and the fourth database is a preset database and stores the contact telephone of the responsible person.
7. A boiler load control system, characterized by: comprising a memory, a processor and a program stored on said memory and executable on said processor, which program, when loaded and executed by the processor, is adapted to carry out the boiler load control method according to any one of claims 1 to 6.
8. A computer storage medium, characterized in that: comprising a program which can be loaded into execution by a processor for implementing the boiler load control method as claimed in any one of claims 1 to 6.
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| CN114593526A (en) * | 2022-03-12 | 2022-06-07 | 再发现(北京)科技有限公司 | Boiler load adjusting method and device, electronic equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE3410316A1 (en) * | 1984-03-21 | 1985-10-03 | Felix Dipl.-Ing. Jäger (FH), 7631 Kappel-Grafenhausen | Multi-boiler heating installation for liquid heat-transfer media |
| CN103471176A (en) * | 2013-10-10 | 2013-12-25 | 张久明 | Energy-saving linkage control system and energy-saving linkage control method |
| CN105570866A (en) * | 2015-12-29 | 2016-05-11 | 北京市燃气集团有限责任公司 | Adjusting method and system for load parameters of gas-fired boiler used for heat supply |
| CN108280556A (en) * | 2018-04-02 | 2018-07-13 | 长沙理工大学 | Power supply volume dual-stage Optimization Scheduling based on heat load adjustment |
| CN110794775A (en) * | 2019-10-16 | 2020-02-14 | 北京华远意通热力科技股份有限公司 | Multi-boiler load intelligent control system and method |
-
2020
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE3410316A1 (en) * | 1984-03-21 | 1985-10-03 | Felix Dipl.-Ing. Jäger (FH), 7631 Kappel-Grafenhausen | Multi-boiler heating installation for liquid heat-transfer media |
| CN103471176A (en) * | 2013-10-10 | 2013-12-25 | 张久明 | Energy-saving linkage control system and energy-saving linkage control method |
| CN105570866A (en) * | 2015-12-29 | 2016-05-11 | 北京市燃气集团有限责任公司 | Adjusting method and system for load parameters of gas-fired boiler used for heat supply |
| CN108280556A (en) * | 2018-04-02 | 2018-07-13 | 长沙理工大学 | Power supply volume dual-stage Optimization Scheduling based on heat load adjustment |
| CN110794775A (en) * | 2019-10-16 | 2020-02-14 | 北京华远意通热力科技股份有限公司 | Multi-boiler load intelligent control system and method |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114593526A (en) * | 2022-03-12 | 2022-06-07 | 再发现(北京)科技有限公司 | Boiler load adjusting method and device, electronic equipment and storage medium |
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