CN115405996A - Method and device for controlling low-carbon operation of heat supply system and nonvolatile storage medium - Google Patents
Method and device for controlling low-carbon operation of heat supply system and nonvolatile storage medium Download PDFInfo
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- CN115405996A CN115405996A CN202211048637.9A CN202211048637A CN115405996A CN 115405996 A CN115405996 A CN 115405996A CN 202211048637 A CN202211048637 A CN 202211048637A CN 115405996 A CN115405996 A CN 115405996A
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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
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- 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
Abstract
The application discloses a method and a device for controlling low-carbon operation of a heating system and a nonvolatile storage medium. Wherein, the method comprises the following steps: the method comprises the steps of obtaining strategy pushing time of a heat supply system, and determining a heat supply strategy to be pushed according to the strategy pushing time, wherein if the strategy pushing time is a first time, the heat supply strategy is determined to be a shutdown strategy, and if the strategy pushing time is not the first time, the heat supply strategy is determined to be a startup strategy or an adjustment strategy, wherein the first time is the last strategy pushing time in a strategy pushing period; and adjusting parameters of the heating system according to the heating strategy, and controlling the heating system to operate at a low carbon according to the parameters. The technical problems that in the prior art, heat supply cannot be carried out as required due to the fact that a mode of manually managing a heat supply system is adopted, and the management standards of the heat supply system are inconsistent are solved.
Description
Technical Field
The application relates to the field of automation control, in particular to automatic management of a hot station operation strategy, and relates to a method and a device for controlling low-carbon operation of a heat supply system, and a nonvolatile storage medium.
Background
At present, heat supply operation units in China often rely on manual experience when managing a heat supply system, and particularly, the property of a large public building project adopting self-heating of a small boiler room has the following problems when managing the heat supply system: 1) The property management is afraid of heat supply and heat supply failure, so that excessive heat supply and energy waste are caused; 2) Depending on experience on how much heat is supplied, when heat is supplied and how the temperature is set, the requirement of professional technology is high, but experienced personnel are few; 3) The effectiveness and the operation effect of the operation strategy cannot be evaluated quantitatively, and the fact that the actual operation condition of the heating system is good or bad is not known; therefore, the manual management heat supply system has obvious limitations that heat supply cannot be carried out as required, resources are wasted and the like.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the application provides a method and a device for controlling a heating system to operate at a low carbon and a nonvolatile storage medium, and aims to at least solve the technical problems that in the prior art, a mode of manually managing the heating system is adopted, so that heat supply cannot be carried out as required, and the management standard of the heating system is inconsistent.
According to one aspect of the embodiment of the application, a method for controlling low-carbon operation of a heating system is provided, and comprises the following steps: the method comprises the steps of obtaining strategy pushing time of a heat supply system, and determining a heat supply strategy to be pushed according to the strategy pushing time, wherein if the strategy pushing time is a first time, the heat supply strategy is determined to be a shutdown strategy, and if the strategy pushing time is not the first time, the heat supply strategy is determined to be a startup strategy or an adjustment strategy, wherein the first time is the last strategy pushing time in a strategy pushing period; and adjusting parameters of the heating system according to the heating strategy, and controlling the heating system to operate at a low carbon according to the parameters.
Optionally, if the policy pushing time is not the first time, determining that the heating policy is a startup policy or a regulation policy, including: acquiring a first average value, wherein the first average value is an average value of outdoor temperatures between the current strategy pushing moment and the next strategy pushing moment; if the first average value is smaller than or equal to a preset value and the strategy pushing moment is a second moment, determining that the heat supply strategy is a starting strategy, wherein the second moment is a first strategy pushing moment in one strategy pushing cycle; and if the first average value is smaller than or equal to the preset value and the strategy pushing moment is not the second moment, determining that the heat supply strategy is the adjusting strategy.
Optionally, before adjusting the parameter of the heating system according to the heating strategy, the method further comprises: obtaining historical parameters of a heating system, wherein the historical parameters comprise at least one of the following parameters: the method comprises the following steps of (1) historical operation state of a heating system, historical primary side flow, historical primary side water supply temperature and historical primary side water return temperature of the heating system, historical secondary side flow, historical secondary side water supply temperature and historical secondary side water return temperature of the heating system, historical indoor temperature and outdoor temperature corresponding to the historical indoor temperature, wherein the primary side is one side of the heating system connected with a heating source system, and the secondary side is one side of the heating system connected with a heating tail end; and generating an operation model of the heating system according to the historical parameters, wherein the operation model is used for representing the relation between the heat exchange quantity and the temperature of the heating system, and the heat exchange quantity is the heat released when heat exchange is carried out in the heating system.
Optionally, under the condition that the heat supply strategy is a shutdown strategy, adjusting parameters of the heat supply system according to the heat supply strategy, and controlling the low-carbon operation of the heat supply system according to the parameters, includes: if the current operation state of the heating system is a shutdown state, outputting a shutdown moment, wherein the shutdown moment is a first moment; if the current operation state of the heating system is not the shutdown state, the current indoor temperature and the target indoor temperature are obtained, the shutdown time of the heating system is determined according to the current indoor temperature, the target indoor temperature and the temperature reduction rate, the heating system is controlled to stop running at the shutdown time, and the temperature reduction rate is provided by the running model.
Optionally, the method for controlling the low-carbon operation of the heating system further includes: and if the strategy pushing moment is not the first moment and the first average value is greater than the preset value, outputting a prompt message, wherein the prompt message is used for prompting the heat supply system to stop running.
Optionally, in a case that the heating strategy is a startup strategy or an adjustment strategy, adjusting a parameter of the heating system according to the heating strategy includes: determining the heat load of the heat supply system by adopting the first average value and the operation model, wherein the heat load is the heat released by the heat supply system for adjusting the current indoor temperature to the target indoor temperature; acquiring rated heating load of a heating system, and determining the number of heating equipment in the heating system according to the heating load and the rated heating load; determining target secondary side flow according to the heat load, wherein the target secondary side flow and the heat load have a direct proportional relation; determining the number of the secondary side water pumps as the number of the heat supply equipment, acquiring the rated flow of the secondary side water pumps, and determining the working frequency of the secondary side water pumps according to the number of the secondary side water pumps, the rated flow of the secondary side water pumps and the target secondary side flow; the number of the primary side water pumps is determined as the number of the heating equipment, the rated flow of the primary side water pumps is obtained, and the product of the number of the primary side water pumps and the rated flow of the primary side water pumps is determined as the target primary side flow.
Optionally, when the heat supply strategy is a startup strategy or an adjustment strategy, adjusting parameters of the heat supply system according to the heat supply strategy, and controlling the low-carbon operation of the heat supply system according to the parameters includes: inputting the heat load, the target indoor temperature and the target primary side flow into the operation model to obtain a target primary side water supply temperature, a target primary side water return temperature, a target secondary side water supply temperature and a target secondary side water return temperature; adjusting parameters of the heating system according to the target primary side water supply temperature, the target primary side water return temperature, the target secondary side water supply temperature and the target secondary side water return temperature; and controlling the heating system to operate according to the adjusted parameters.
Optionally, in a case that the heating strategy is a startup strategy, before adjusting the parameter of the heating system according to the heating strategy, the method further includes: and acquiring a second average value, determining the starting time of the heat supply system according to the relation between the second average value and the historical starting time, and controlling the heat supply system to operate at the starting time, wherein the second average value is the average value of the outdoor temperature at the current day, and the relation between the second average value and the historical starting time is provided by an operation model.
According to another aspect of the embodiments of the present application, there is provided an apparatus for controlling a low-carbon operation of a heating system, including: the system comprises an acquisition module, a judgment module and a control module, wherein the acquisition module is used for acquiring the strategy pushing time of a heat supply system, determining a heat supply strategy to be pushed according to the strategy pushing time, determining that the heat supply strategy is a shutdown strategy if the strategy pushing time is a first time, and determining that the heat supply strategy is a startup strategy or an adjustment strategy if the strategy pushing time is not the first time, wherein the first time is the last strategy pushing time in a strategy pushing period; and the control module is used for adjusting parameters of the heat supply system according to the heat supply strategy and controlling the heat supply system to operate at a low carbon according to the parameters.
According to another aspect of the embodiments of the present application, there is also provided a non-volatile storage medium, where the non-volatile storage medium includes a stored program, and a device in which the non-volatile storage medium is controlled during program operation executes the method for controlling the low-carbon operation of the heating system.
According to another aspect of the embodiments of the present application, a processor is further provided, and the processor is configured to execute a program stored in a memory, where when the program is executed, the method for controlling the low-carbon operation of the heating system is executed.
In an embodiment of the present application, a method for controlling a heating system to operate at a low carbon is provided according to an aspect of the embodiment of the present application, and includes: the method comprises the steps of obtaining strategy pushing time of a heat supply system, and determining a heat supply strategy to be pushed according to the strategy pushing time, wherein if the strategy pushing time is a first time, the heat supply strategy is determined to be a shutdown strategy, and if the strategy pushing time is not the first time, the heat supply strategy is determined to be a startup strategy or an adjustment strategy, wherein the first time is the last strategy pushing time in a strategy pushing period; the parameter of heating system is adjusted according to the heating strategy, according to the mode of parameter control heating system low carbon operation, through confirming the propelling movement strategy constantly according to the tactics propelling movement, and the parameter of adjusting heating system according to the content of propelling movement strategy has reached the purpose of control heating system according to the operation of heating strategy, thereby realized supplying heat as required, reduce carbon emission, promote the technical effect of heating system management uniformity, and then solved because the unable as required heat supply that the mode that prior art adopted artifical management heating system caused, the standard of the management to heating system technical problem that is inconsistent.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a flow chart of a method of controlling a heating system according to an embodiment of the application;
fig. 2 is a structural diagram of an apparatus for controlling a heating system according to an embodiment of the present application;
FIG. 3 is a schematic workflow diagram of a policy generation system according to an embodiment of the present application;
FIG. 4 is a schematic flow chart of a shutdown policy module according to an embodiment of the present application;
FIG. 5 is a schematic view illustrating a working flow of a boot policy module according to an embodiment of the present application;
FIG. 6 is a schematic flow chart of a tuning strategy module according to an embodiment of the present application;
fig. 7 is a schematic workflow diagram of a policy generation module according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the accompanying drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be implemented in sequences other than those illustrated or described herein. Moreover, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In accordance with an embodiment of the application, there is provided an embodiment of a method for controlling a heating system, it being noted that the steps illustrated in the flowchart of the figure may be carried out in a computer system, such as a set of computer executable instructions, and that, although a logical order is illustrated in the flowchart, in some cases, the steps illustrated or described may be carried out in an order different than here.
Fig. 1 is a flowchart of a method of controlling a heating system according to an embodiment of the present application, as shown in fig. 1, the method including the steps of:
step S102, obtaining strategy pushing time of a heat supply system, and determining a heat supply strategy to be pushed according to the strategy pushing time, wherein if the strategy pushing time is a first time, the heat supply strategy is determined to be a shutdown strategy, and if the strategy pushing time is not the first time, the heat supply strategy is determined to be a startup strategy or an adjustment strategy, wherein the first time is the last strategy pushing time in a strategy pushing period.
In step S102, a policy time point of a current heat supply system is obtained, a policy type of a pushed operation policy is determined according to the current policy time point, the policy time point is determined, if the policy time point is determined to be a last policy time point in a policy pushing cycle according to a result of the determination, a shutdown policy is determined to be pushed by the heat supply system, and if the policy time point is determined to be a first policy time point in the policy pushing cycle, a startup policy or an adjustment policy is determined to be pushed by the heat supply system.
And S104, adjusting parameters of the heat supply system according to the heat supply strategy, and controlling the heat supply system to operate at low carbon according to the parameters.
And adjusting parameters of the heat supply system according to the heat supply strategy determined in the step S102, and controlling the heat supply system to operate according to the adjusted parameters so as to achieve the purpose of low-carbon operation.
Through the steps, the heating system can operate based on the generated heating strategy, the purpose of accurate heating according to requirements can be realized, excessive heating of the heating system is avoided, resource waste and carbon emission of the heating system are reduced, and the pushed heating strategy can better meet the actual conditions of projects; in addition, the traditional manual experience control mode is replaced by the automatic pushing heat supply operation strategy, dependence on professional experience of personnel is avoided, and meanwhile labor cost is saved.
According to another aspect of the embodiment of the application, if the strategy pushing time is not the first time, determining that the heat supply strategy is the startup strategy or the regulation strategy includes the following steps: acquiring a first average value, wherein the first average value is an average value of outdoor temperatures between the current strategy pushing moment and the next strategy pushing moment; if the first average value is smaller than or equal to a preset value and the strategy pushing moment is a second moment, determining that the heat supply strategy is a starting strategy, wherein the second moment is a first strategy pushing moment in one strategy pushing cycle; and if the first average value is smaller than or equal to the preset value and the strategy pushing moment is not the second moment, determining that the heat supply strategy is the adjusting strategy.
In this embodiment, the preset value is set to 15, which represents that the preset reference temperature is 15 ℃, and when the policy pushing time is not the last policy pushing time, the average value of the outdoor temperatures from the current policy time to the next policy time is calculated to obtain the future outdoor temperature (i.e. the first average value), and if the future outdoor temperature is less than or equal to 15 ℃ and the current policy pushing time is the first policy pushing time (i.e. the second time) in one policy pushing cycle, the future outdoor temperature is determined to be the heat supply system pushing startup policy; and if the future outdoor temperature is less than or equal to 15 ℃ and the current strategy pushing moment is not the first strategy pushing moment (namely the second moment), determining that the current strategy is the heating system pushing regulation strategy.
According to another aspect of the embodiment of the application, before the parameters of the heating system are adjusted according to the heating strategy, the method for controlling the low-carbon operation of the heating system further comprises the following steps: acquiring historical parameters of a heating system, wherein the historical parameters comprise at least one of the following parameters: the method comprises the following steps of (1) historical operation state of a heating system, historical primary side flow of the heating system, historical primary side water supply temperature and historical primary side water return temperature, historical secondary side flow of the heating system, historical secondary side water supply temperature and historical secondary side water return temperature, historical indoor temperature and outdoor temperature corresponding to the historical indoor temperature, wherein the primary side is one side of the heating system connected with a heat supply source system, and the secondary side is one side of the heating system connected with a heat supply tail end; and generating an operation model of the heating system according to the historical parameters, wherein the operation model is used for representing the relation between the heat exchange quantity and the temperature of the heating system, and the heat exchange quantity is the heat released when heat exchange is carried out in the heating system.
According to this embodiment, before adjusting parameters of the heating system according to the heating strategy, historical operating parameters of the thermal station (i.e. the heating system) need to be collected, such as: the running state of the heating equipment in the heating system (when the heating equipment is a boiler, the historical running state of the boiler is collected), and the total flow G at the primary side 1 (i.e., first flow rate), primary side total feed water temperature t 1,g (i.e., first supply water temperature), primary side total return water temperature t 1,h (i.e., first return water temperature), total secondary side flow rate G 2 (i.e., second flow rate), secondary side total supply water temperature t 2,g (i.e., second supply water temperature), secondary side total return water temperature t 2,h (i.e. the second return water temperature), in addition, the historical working environment of the heating system needs to be collected, such as: actual room temperature t at that time in And then indoorOutdoor temperature t corresponding to temperature out (ii) a And establishing an operation model of the heat supply system according to the acquired data, wherein the operation model is an actual theoretical model of the heat supply system and is used for representing the relationship between each parameter in the heat supply system and the heat supply quantity thereof, and the operation model also provides a fitting formula of the heat exchange quantity, a temperature reduction rate and a starting time fitting formula and other formulas obtained by fitting based on the relationship between the heat exchange quantity and the temperature of the heat supply system. The above model is expressed by the following formula:
building thermal load (Q) 1 )：Q 1 ＝KF 1 (t in -t out ) The relation between the building heat load and the outdoor temperature is shown, wherein the building heat load is the heat released by a heating system of a certain building for adjusting the current temperature to the target temperature;
heat exchange quantity (Q) of tail air-conditioning box 2 )：
Represents the heat released by the terminal (secondary side) equipment (such as an air conditioning box) when the current temperature is adjusted to the target temperature by the heating system;
heat supply capacity of secondary heat supply network (Q) 3 )：Q 3 ＝1.163G 2 (t 2,g -t 2,h ) The heat quantity released by a secondary heat supply network in the heat supply system is expressed when the current temperature of the heat supply system is adjusted to be the target temperature;
heat exchange capacity (Q) of plate heat exchanger 4 )：
The heat quantity released by the primary side equipment (such as a plate heat exchanger) when the current temperature of the heating system is adjusted to the target temperature is represented;
heat supply capacity of primary heating network (Q) 5 )：Q 5 ＝1.163G 1 (t 1,g -t 1,h ) When the current temperature of the heating system is adjusted to the target temperature, the heat released by a primary heating network in the heating system is represented; wherein, KF 1 、KF 2 、KF 3 Respectively represent a building, a tail end air conditioning box and a plate type heat exchangeAnd the heat exchange parameters of the device are obtained by fitting the collected historical operating parameters.
According to some optional embodiments of the present application, in a case that the heating policy is a shutdown policy, adjusting a parameter of the heating system according to the heating policy, and controlling the operation of the heating system according to the parameter, including the following cases: if the current operation state of the heating system is a shutdown state, outputting a shutdown moment, wherein the shutdown moment is a first moment; if the current operation state of the heating system is not the shutdown state, the current indoor temperature and the target indoor temperature are obtained, the shutdown time of the heating system is determined according to the current indoor temperature, the target indoor temperature and the temperature reduction rate, the heating system is controlled to stop running at the shutdown time, and the temperature reduction rate is provided by the operation model.
Under the condition that the heat supply strategy is a shutdown strategy, adjusting parameters of the heat supply system according to the heat supply strategy, and controlling the heat supply system to operate according to the parameters, wherein the method comprises the following steps: if the current operation state of the heating system is a shutdown state, outputting a shutdown moment, wherein the shutdown moment is a first moment; if the current operation state of the heating system is not the shutdown state, the current indoor temperature and the target indoor temperature are obtained, the shutdown time of the heating system is determined according to the current indoor temperature, the target indoor temperature and the temperature reduction rate, the heating system is controlled to stop running at the shutdown time, and the temperature reduction rate is provided by the running model.
In this embodiment, the policy time is the last policy pushing time of a policy pushing period, at this time, a shutdown policy (i.e., a shutdown policy) is pushed to the heat supply system, and a specific process of executing the shutdown policy by the heat supply system is as follows:
firstly, judging the running state of a heating system; if the current heating system is in a shutdown state, outputting the last strategy pushing moment in a time form, and defining the last strategy pushing moment as shutdown time (namely the time for stopping operation) of the heating system; if the current heating system is not in a shutdown state, acquiring the current indoor temperature and the target temperature of the heating system for controlling the indoor temperature, predicting the time required for changing the current indoor temperature into the target indoor temperature after the heating system is closed, and according to a formula: the shutdown time = ending business time-temperature reduction time, and the shutdown time of the heating system is determined; wherein, end the time of business hour for the heat supply building time of stopping business need not to maintain target indoor temperature, and the temperature drop is consuming time through the formula: the time spent on temperature drop = (current indoor temperature-target indoor temperature) × n; wherein n is the indoor temperature drop rate after the heating system is closed, is obtained by fitting the data of the historical operating parameters and is provided by the operating model; then controlling the heating system to stop running at the moment of the obtained shutdown time; for example, if the boiler is currently shut down (for example, all the boilers are in the operating state = 0), outputting the current strategy time as a shutdown time; if the boiler is in the current operation (for example, the operation state of any boiler = 1), calculating the shutdown time; if the temperature drop rate of the project is n, namely n minutes are needed for 1 ℃ drop, the temperature drop time = (the current indoor temperature-indoor temperature control target) × n, and the shutdown time = the end of business time-the temperature drop time.
The end of the business hours is the time when the service object of the heating system no longer needs the heating system to provide the target indoor temperature.
According to other optional embodiments of the present application, the method for controlling low-carbon operation of a heating system further comprises: and if the strategy pushing moment is not the first moment and the first average value is greater than the preset value, outputting a prompt message, wherein the prompt message is used for prompting the heat supply system to stop running.
In some optional embodiments of the present application, in a case where the preset reference temperature is set to 15 ℃, when the strategy pushing time is not the first time and the future outdoor temperature is greater than 15 ℃, a prompt message for prompting the shutdown of the heating system is output.
According to an aspect of the embodiments of the present application, in a case that the heat supply strategy is a startup strategy or an adjustment strategy, adjusting a parameter of the heat supply system according to the heat supply strategy includes: determining the heat load of the heat supply system by adopting the first average value and the operation model, wherein the heat load is the heat released by the heat supply system for adjusting the current indoor temperature to the target indoor temperature; acquiring rated heating load of a heating system, and determining the number of heating equipment in the heating system according to the heating load and the rated heating load; determining target secondary side flow according to the heat load, wherein the target secondary side flow and the heat load have a direct proportional relation; determining the number of the secondary side water pumps as the number of heat supply equipment, acquiring the rated flow of the secondary side water pumps, and determining the working frequency of the secondary side water pumps according to the number of the secondary side water pumps, the rated flow of the secondary side water pumps and the target secondary side flow; the number of the primary side water pumps is determined as the number of the heating equipment, the rated flow of the primary side water pumps is obtained, and the product of the number of the primary side water pumps and the rated flow of the primary side water pumps is determined as the target primary side flow.
In this embodiment, when the heating strategy provided to the heating system is a startup strategy or an adjustment strategy (i.e., an adjustment strategy), before adjusting parameters of the heating system according to the startup strategy or the adjustment strategy, the heat load required by the heating system to reach the target indoor temperature needs to be predicted according to the future outdoor temperature (i.e., the first average value), wherein the fitting relationship between the building heat load provided by the operation model and the outdoor temperature is as follows: q 1 ＝KF 1 (t in -t out ) T in in Replacement by target indoor temperature, t out Instead of predicting the heat load from the future outdoor temperature (i.e. the first average value), the heat load to which the above-mentioned values should be output can then be calculated from the resulting heat load, to which values the parameters of the heating system should be adjusted, for example:
when the heating plant is determined to be a boiler, according to: the number of the boilers = predicting heat load/(rated heat supply of the boiler 1.1), and the obtained result is rounded to determine the number of the boilers, and the number of the primary side water pumps and the number of the secondary side water pumps in the heat supply system are consistent with the number of the boilers; according to the following steps: determining a target secondary side flow rate according to the proportional relation between the secondary side flow rate and the heat load; according to the following steps: the working frequency of the secondary side water pump =50 × secondary side flow/(the number of the secondary side water pumps × rated flow of the secondary side water pumps), and the working frequency of the secondary side water pump is determined; according to the following steps: the primary-side flow = the number of primary-side water pumps × the rated flow rate of the primary-side water pump, and the target primary-side flow rate is determined.
It should be noted that the primary side mentioned above is used to represent a primary heat supply pipe network system in a heat supply system, and refers to a pipe network from a central heating system main heat supply source (heat supply primary station or boiler room) to a plate heat exchanger; the secondary side is used for representing a secondary heat supply pipe network system in a heat supply system, and refers to a hot water pipe network from a plate heat exchanger to a tail end system.
According to another aspect of the embodiment of the present application, in a case that the heating strategy is a startup strategy or an adjustment strategy, adjusting a parameter of the heating system according to the heating strategy, and controlling the operation of the heating system according to the parameter includes the following operations: inputting the heat load, the target indoor temperature and the target primary side flow into the operation model to obtain a target primary side water supply temperature, a primary side water return temperature, a target secondary side water supply temperature and a target secondary side water return temperature; adjusting parameters of the heating system according to the target primary side water supply temperature, the target primary side water return temperature, the target secondary side water supply temperature and the target secondary side water return temperature; and controlling the heating system to operate according to the adjusted parameters.
Inputting the heat load, the primary side total flow (i.e. the target primary side flow), and the secondary side total flow (i.e. the target secondary side flow) obtained in the previous embodiment into the established operation model, so as to determine the (target) primary side water supply temperature, (target) primary side return water temperature, (target) secondary side water supply temperature, and (target) secondary side return water temperature of the heat supply system, and adjusting the heat supply system according to the solved result, wherein the specific solving method is as follows:
temperature of secondary net water supply
Temperature of return water of secondary network
Primary net water supply temperature
Temperature of return water of primary network
Wherein, T in,target Denotes target temperature, Q denotes predicted heat load, G 1 Represents the total flow rate at the primary side, G 2 Indicating total secondary side flow
It should be noted that the future outdoor temperature mentioned in the above embodiments can be obtained by acquiring temperature information in the weather forecast and calculating the temperature information.
According to another aspect of the embodiments of the present application, in a case that the heating strategy is the startup strategy, before adjusting the parameter of the heating system according to the heating strategy, the method further includes: and acquiring a second average value, determining the starting time of the heat supply system according to the relationship between the second average value and the historical starting time, and controlling the heat supply system to operate at the starting time, wherein the second average value is the average value of the outdoor temperature at the same day, and the relationship between the second average value and the historical starting time is provided by an operation model.
In the embodiment, if the strategy pushed to the heating system is a startup strategy, strategy contents of the startup strategy need to be generated before parameters of the heating system are adjusted according to the startup strategy; part of the contents of the boot strategy are as follows: firstly, acquiring the outdoor average temperature (namely a second average value) of the current day, and then acquiring the relation between the starting time of the heating system and the outdoor average temperature, wherein the relation between the starting time and the outdoor average temperature is obtained by performing data fitting on historical operating parameters and is provided by the operating model mentioned in the embodiment; and then predicting the starting time of the heating system according to the outdoor average temperature of the current day and the relation between the starting time and the outdoor average temperature, and controlling the heating system to start to operate at the starting time.
Fig. 2 is a block diagram of an apparatus for controlling a heating system according to an embodiment of the present application, as shown in fig. 2, the apparatus including: an obtaining module 20, configured to obtain a policy pushing time of a heat supply system, and determine a heat supply policy to be pushed according to the policy pushing time, where if the policy pushing time is a first time, it is determined that the heat supply policy is a shutdown policy, and if the policy pushing time is not the first time, it is determined that the heat supply policy is a startup policy or an adjustment policy, where the first time is a last policy pushing time in a policy pushing cycle; and the control module 22 is used for adjusting parameters of the heat supply system according to the heat supply strategy and controlling the heat supply system to operate at a low carbon according to the parameters.
When the device is applied to a heating system of a small boiler room of a public building, historical operating parameters of a heat station and actual historical indoor and outdoor temperatures are collected, and an actual theoretical model of the heating system is established; acquiring parameters required by calculation, including static information and dynamic docking parameters of a heating system; determining the strategy type of the pushed hot station operation strategy according to the current strategy time point; generating specific strategy contents according to various strategy generation modes; pushing a hot station operation strategy to a field operation and maintenance engineer; the purposes of controlling as required, avoiding excessive heat supply, saving energy consumption, reducing carbon emission and improving management consistency under the condition of ensuring indoor environmental quality are achieved.
In addition, when the method is specifically implemented, not only the strategy pushing time is obtained, but also parameters of dynamic docking in the heat supply system are obtained, such as: the current indoor environment, the boiler operating state, the outdoor average temperature of the day when the method is implemented, and the average of the outdoor temperatures from the current strategy moment to the next strategy moment. Strategy daily prediction daily average outdoor temperature and prediction future outdoor temperature
Based on the embodiment, a specific implementation is provided, internet Of Things (IOT) data collected in real time is based on the IOT data collected in real time, a heat source operation model is established by combining expert experience and an Artificial Intelligence (AI) algorithm, a heat source optimal low-carbon operation control strategy is automatically generated according to real-time prediction Of a heat load, fig. 3 is a working flow chart Of a strategy generation system, as shown in fig. 3, the system starts to work, a strategy point is collected and judged whether the strategy point is a last strategy push point, if so, a flow Of a shutdown strategy module is executed, if not, whether future outdoor temperature is larger than preset 15 ℃ is judged, if so, a device shutdown prompt is output, if not, the collected strategy push point is judged whether the strategy push point is a first strategy push point, if so, a flow Of a startup strategy module is executed, and if not, a flow Of a regulation strategy module is executed.
Fig. 4 is a flowchart of the shutdown policy module, and as shown in fig. 4, the current state of the boiler is first determined, if the current boiler is in a shutdown state, the current policy time is output as a shutdown time, if the current boiler is not in the shutdown state, the current indoor temperature and indoor temperature control target in the collected data is called, based on the data, the shutdown time is predicted according to the shutdown temperature drop rate provided by the operation model established in advance, and the shutdown time is output.
Fig. 5 is a flowchart of the startup policy module, and as shown in fig. 5, the process of the startup policy module is divided into two parts, and when the first part is executed, the average temperature in the day and the day is called first, and the startup time is obtained according to a startup time fitting formula provided by an operation model established in advance; and after the heating system is controlled to be started at the starting time, executing a second part of the starting strategy module, calling a weather interface and calculating the future outdoor temperature, predicting the heat released by the heating system when the current temperature is regulated to the target temperature according to a heat load fitting formula provided by the operation model, entering a strategy generation module process, and finally executing the starting strategy generated by the strategy generation module.
Fig. 6 is a flowchart of the adjustment policy module, and as shown in fig. 6, the flow of the adjustment policy module is the same as the second part of the startup policy module, and first, data representing future outdoor temperature is called, heat released by the heating system to adjust the current temperature to the target temperature is predicted according to a heat load fitting formula provided by the operation model, and the predicted heat enters the flow of the policy generation module, and finally, the adjustment policy generated by the policy generation module is executed.
Fig. 7 is a flowchart of a policy generation module existing in both the adjustment policy module and the boot policy module, and as shown in fig. 7, the steps executed by the policy generation module are specifically:
step one, calculating the number of boilers according to the predicted heat load (predicted heat quantity) and the rated heat supply quantity of the boilers,
step two, the number of the primary pumps and the number of the secondary pumps are equal to the number of the boilers;
calculating to obtain the secondary side total flow corresponding to the predicted heat load based on the proportional relation between the secondary network flow and the load;
calculating to obtain primary side flow according to the number of the primary pumps and the rated flow of the primary pumps;
calculating according to the number of secondary pumps and the rated flow of the secondary pumps to obtain the frequency of the secondary pumps;
step six, according to the calculated result and the theoretical model of the heat supply system, a calculation formula of the temperature of the supply water and the return water of the primary network and the secondary network can be deduced:
temperature of secondary network water supply
Temperature of return water of secondary network
Primary net water supply temperature
Temperature of return water of primary network
The data called as representing the future outdoor temperature are all collected by the system in advance, and the system collects static parameters and dynamic docking parameters, wherein the static parameters comprise: total number of boilers and rated heating capacity Q of boiler rated Rated flow G of primary pump 1,rated Rated flow G of secondary pump 2,rated Indoor temperature control target T in,target (ii) a The dynamic docking parameters include: the current indoor environment, the boiler running state, the daily predicted daily average outdoor temperature of the strategy and the predicted future outdoor temperature. In the case of the specific implementation thereof,through learning of historical heat supply data, the relation between heat load and indoor and outdoor temperatures is extracted, a theoretical model of the heat supply system is established, the generated heat supply system operation strategy can realize accurate heat supply as required, and the pushed operation strategy can better meet the actual conditions of projects; in addition, the traditional manual experience control mode is replaced by an automatic pushing heat supply operation strategy, dependence on professional experience of personnel is avoided, and labor cost is saved.
The embodiment of the application also provides a nonvolatile storage medium, which comprises a stored program, wherein when the program runs, the device where the nonvolatile storage medium is located is controlled to execute the above method for controlling the heating system.
The nonvolatile storage medium stores a program for executing the following functions: the method comprises the steps of obtaining strategy pushing time of a heat supply system, and determining a heat supply strategy to be pushed according to the strategy pushing time, wherein if the strategy pushing time is a first time, the heat supply strategy is determined to be a shutdown strategy, and if the strategy pushing time is not the first time, the heat supply strategy is determined to be a startup strategy or an adjustment strategy, wherein the first time is the last strategy pushing time in a strategy pushing period; and adjusting parameters of the heating system according to the heating strategy, and controlling the heating system to operate at a low carbon according to the parameters.
The embodiment of the present application further provides a processor, where the processor is configured to run a program stored in a memory, and when the program is run, the above method for controlling a heating system is performed.
The processor is used for executing the following programs: the method comprises the steps of obtaining strategy pushing time of a heat supply system, and determining a heat supply strategy to be pushed according to the strategy pushing time, wherein if the strategy pushing time is a first time, the heat supply strategy is determined to be a shutdown strategy, and if the strategy pushing time is not the first time, the heat supply strategy is determined to be a startup strategy or an adjustment strategy, wherein the first time is the last strategy pushing time in a strategy pushing period; and adjusting parameters of the heating system according to the heating strategy, and controlling the heating system to operate at a low carbon according to the parameters.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk, and various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present application and it should be noted that those skilled in the art can make several improvements and modifications without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.
Claims (10)
1. A method for controlling low-carbon operation of a heating system is characterized by comprising the following steps:
the method comprises the steps of obtaining strategy pushing time of a heat supply system, and determining a heat supply strategy to be pushed according to the strategy pushing time, wherein if the strategy pushing time is first time, the heat supply strategy is determined to be a shutdown strategy, and if the strategy pushing time is not the first time, the heat supply strategy is determined to be a startup strategy or an adjustment strategy, wherein the first time is the last strategy pushing time in a strategy pushing period;
and adjusting parameters of the heat supply system according to the heat supply strategy, and controlling the heat supply system to operate at a low carbon according to the parameters.
2. The method of claim 1, wherein determining the heating policy as a power-on policy or a regulation policy if the policy pushing time is not the first time comprises:
acquiring a first average value, wherein the first average value is an average value of outdoor temperatures between the current strategy pushing moment and the next strategy pushing moment;
if the first average value is smaller than or equal to a preset value and the strategy pushing moment is a second moment, determining that the heat supply strategy is the starting strategy, wherein the second moment is a first strategy pushing moment in a strategy pushing cycle;
and if the first average value is smaller than or equal to the preset value and the strategy pushing moment is not the second moment, determining that the heat supply strategy is the adjusting strategy.
3. The method according to claim 2, wherein before adjusting the parameters of the heating system according to the heating strategy, the method further comprises:
obtaining historical parameters of the heating system, wherein the historical parameters comprise at least one of the following: the system comprises a historical operation state of the heating system, historical primary side flow, historical primary side water supply temperature and historical primary side water return temperature of the heating system, historical secondary side water flow, historical secondary side water supply temperature and historical secondary side water return temperature of the heating system, historical indoor temperature and the corresponding outdoor temperature, wherein the primary side is one side of the heating system connected with a heat supply source system, and the secondary side is one side of the heating system connected with a heat supply tail end;
and generating an operation model of the heating system according to the historical parameters, wherein the operation model is used for representing the relation between the heat exchange quantity and the temperature of the heating system, and the heat exchange quantity is the heat released when heat exchange is carried out in the heating system.
4. The method according to claim 3, wherein in the case that the heating strategy is the shutdown strategy, adjusting parameters of the heating system according to the heating strategy, and controlling the heating system to operate at a low carbon according to the parameters comprises:
if the current operation state of the heating system is a shutdown state, outputting a shutdown moment, wherein the shutdown moment is the first moment;
if the current operation state of the heat supply system is not the shutdown state, the current indoor temperature and the target indoor temperature are obtained, the shutdown time of the heat supply system is determined according to the current indoor temperature, the target indoor temperature and the temperature reduction rate, the heat supply system is controlled to stop operating at the shutdown time, and the temperature reduction rate is provided by the operation model.
5. A method of controlling a heating system for low carbon operation according to claim 4, further comprising:
and if the strategy pushing moment is not the first moment and the first average value is greater than the preset value, outputting a prompt message, wherein the prompt message is used for prompting the heat supply system to stop running.
6. The method of claim 4, wherein adjusting the parameters of the heating system according to the heating strategy in the case that the heating strategy is the startup strategy or the adjustment strategy comprises:
determining the heat load of the heat supply system by adopting the first average value and the operation model, wherein the heat load is the heat released by the heat supply system for adjusting the current indoor temperature to the target indoor temperature;
acquiring rated heating load of the heating system, and determining the number of heating equipment in the heating system according to the heating load and the rated heating load;
determining a target secondary side flow according to the heat load, wherein the target secondary side flow and the heat load have a direct proportional relation;
determining the number of secondary side water pumps as the number of the heat supply equipment, acquiring the rated flow of the secondary side water pumps, and determining the working frequency of the secondary side water pumps according to the number of the secondary side water pumps, the rated flow of the secondary side water pumps and the target secondary side flow;
and determining the number of the primary side water pumps as the number of the heating equipment, acquiring the rated flow of the primary side water pumps, and determining the product of the number of the primary side water pumps and the rated flow of the primary side water pumps as a target primary side flow.
7. The method of claim 6, wherein in the case that the heating strategy is the startup strategy or the adjustment strategy, adjusting parameters of the heating system according to the heating strategy, and controlling the heating system to operate at a low carbon according to the parameters comprises:
inputting the heat load, the target indoor temperature and the target primary side flow into the operation model to obtain a target primary side water supply temperature, a target primary side water return temperature, a target secondary side water supply temperature and a target secondary side water return temperature;
adjusting parameters of the heating system according to the target primary side water supply temperature, the target primary side water return temperature, the target secondary side water supply temperature and the target secondary side water return temperature;
and controlling the heating system to operate according to the adjusted parameters.
8. The method according to claim 3, wherein in case the heating strategy is the start-up strategy, before adjusting the parameters of the heating system according to the heating strategy, the method further comprises:
and acquiring a second average value, determining the starting time of the heat supply system according to the relation between the second average value and the historical starting time, and controlling the heat supply system to operate at the starting time, wherein the second average value is the average value of the outdoor temperature at the current day, and the relation between the second average value and the historical starting time is provided by the operation model.
9. The utility model provides a control heating system low carbon operation's device which characterized in that includes:
the system comprises an acquisition module, a judgment module and a control module, wherein the acquisition module is used for acquiring the strategy pushing time of a heat supply system and determining a heat supply strategy to be pushed according to the strategy pushing time, if the strategy pushing time is a first time, the heat supply strategy is determined to be a shutdown strategy, if the strategy pushing time is not the first time, the heat supply strategy is determined to be a startup strategy or an adjustment strategy, and the first time is the last strategy pushing time in a strategy pushing cycle;
and the control module is used for adjusting parameters of the heat supply system according to the heat supply strategy and controlling the heat supply system to operate at a low carbon according to the parameters.
10. A non-volatile storage medium, characterized in that the non-volatile storage medium comprises a stored program, wherein when the program runs, a device where the non-volatile storage medium is located is controlled to execute the method for controlling the low-carbon operation of the heating system according to any one of claims 1 to 8.
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| CN116527416A (en) * | 2023-07-03 | 2023-08-01 | 深圳市立湾科技有限公司 | Intelligent AI energy-saving control system and method applied to data center |
| CN116527416B (en) * | 2023-07-03 | 2023-09-01 | 深圳市立湾科技有限公司 | Intelligent AI energy-saving control system and method applied to data center |
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