Method and device for controlling low-carbon operation of heating system, and non-volatile storage medium

Abstract

The present application discloses a method and device for controlling the low-carbon operation of a heating system, and a non-volatile storage medium. The method includes: obtaining the policy push time of the heating system, and determining the heating policy to be pushed according to the policy push time, wherein if the policy push time is the first time, the heating policy is determined to be a shutdown policy; if the policy push time is not the first time, the heating policy is determined to be a startup policy or an adjustment policy, wherein the first time is the last policy push time in a policy push cycle; adjusting the parameters of the heating system according to the heating policy, and controlling the low-carbon operation of the heating system according to the parameters. The present application solves the technical problem that the existing technology adopts the method of manually managing the heating system, which is caused by the inability to provide heating on demand and the inconsistent standards for the management of the heating system.

Description

Technical Field

[0001] The present application relates to the field of automated control, specifically, to the automated management of thermal station operation strategies, and to a method and device for controlling the low-carbon operation of a heating system, and a non-volatile storage medium. Background Art

[0002] At present, heating operation units in my country often rely on manual experience when managing heating systems, especially large public construction projects that use small boiler rooms for self-heating. Their properties have the following problems when managing heating systems: 1) Property management is not afraid of providing heat, but is afraid of not providing heat, which leads to excessive heating and energy waste; 2) How much heat to supply, when to supply heat, and how to set the temperature rely on experience, with high professional and technical requirements but few experienced personnel; 3) The effectiveness of operation strategies and operation results cannot be quantified and evaluated, and it is unknown whether the actual operation status of the heating system is good or bad. It can be seen that manually managed heating systems have obvious limitations such as inability to provide heat on demand and waste of resources.

[0003] To address the above-mentioned problems, no effective solutions have been proposed so far. Summary of the Invention

[0004] The embodiments of the present application provide a method and device for controlling the low-carbon operation of a heating system, and a non-volatile storage medium, to at least solve the technical problems of being unable to provide heating on demand and inconsistent standards for the management of the heating system due to the manual management of the heating system in the existing technology.

[0005] According to one aspect of an embodiment of the present application, a method for controlling the low-carbon operation of a heating system is provided, including: obtaining the policy push moment of the heating system, and determining the heating strategy to be pushed based on the policy push moment, wherein if the policy push moment is the first moment, the heating strategy is determined to be a shutdown strategy; if the policy push moment is not the first moment, the heating strategy is determined to be a startup strategy or an adjustment strategy, wherein the first moment is the last policy push moment in a policy push cycle; adjusting the parameters of the heating system according to the heating strategy, and controlling the low-carbon operation of the heating system according to the parameters.

[0006] Optionally, if the policy push moment is not the first moment, the heating strategy is determined to be a startup strategy or an adjustment strategy, including: obtaining a first average value, wherein the first average value is the average value of the outdoor temperature between the current strategy push moment and the next strategy push moment; if the first average value is less than or equal to the preset value, and the strategy push moment is the second moment, the heating strategy is determined to be a startup strategy, wherein the second moment is the first strategy push moment in a strategy push cycle; if the first average value is less than or equal to the preset value, and the strategy push moment is not the second moment, the heating strategy is determined to be an adjustment strategy.

[0007] Optionally, before adjusting the parameters of the heating system according to the heating strategy, the method also includes: obtaining historical parameters of the heating system, wherein the historical parameters include at least one of the following: historical operating status of the heating system, historical primary side flow of the heating system, historical primary side water supply temperature and historical primary side return water temperature, historical secondary side flow of the heating system, historical secondary side water supply temperature and historical secondary side return water temperature, historical indoor temperature and its corresponding outdoor temperature, wherein the primary side is the side where the heating system is connected to the heat source system, and the secondary side is the side where the heating system is connected to the heating terminal; generating an operation model of the heating system according to the historical parameters, wherein the operation model is used to represent the relationship between the heat exchange amount and temperature of the heating system, wherein the heat exchange amount is the heat released during heat exchange in the heating system.

[0008] Optionally, when the heating strategy is a shutdown strategy, the parameters of the heating system are adjusted according to the heating strategy, and the low-carbon operation of the heating system is controlled according to the parameters, including: if the current operating state of the heating system is a shutdown state, outputting the shutdown time, wherein the shutdown time is the first time; if the current operating state of the heating system is not a shutdown state, obtaining the current indoor temperature and the target indoor temperature, determining the stop operation time of the heating system according to the current indoor temperature, the target indoor temperature and the temperature drop rate, and controlling the heating system to stop operation at the above-mentioned stop operation time, wherein the temperature drop rate is provided by the operation model.

[0009] Optionally, the method for controlling the low-carbon operation of the heating system further includes: if the policy push moment is not the first moment and the first average value is greater than a preset value, outputting a prompt message, wherein the prompt message is used to prompt the heating system to stop operating.

[0010] Optionally, when the heating strategy is a start-up strategy or an adjustment strategy, the parameters of the heating system are adjusted according to the heating strategy, including: using a first average value and an operation model to determine the thermal load of the heating system, wherein the thermal load is the heat released by the heating system to adjust the current indoor temperature to the target indoor temperature; obtaining the rated heating capacity of the heating system, and determining the number of heating equipment in the heating system based on the thermal load and the rated heating capacity; determining the target secondary side flow rate based on the thermal load, wherein the target secondary side flow rate is in direct proportion to the thermal load; determining the number of secondary side water pumps as the number of heating equipment, obtaining the rated flow rate of the secondary side water pump, and determining the operating frequency of the secondary side water pump based on the number of secondary side water pumps, the rated flow rate of the secondary side water pump and the target secondary side flow rate; determining the number of primary side water pumps as the number of heating equipment, obtaining the rated flow rate of the primary side water pump, and determining the target primary side flow rate as the product of the number of primary side water pumps and the rated flow rate of the primary side water pump.

[0011] Optionally, when the heating strategy is a start-up strategy or an adjustment strategy, the parameters of the heating system are adjusted according to the heating strategy, and the low-carbon operation of the heating system is controlled according to the parameters, including: inputting the heat load, target indoor temperature and target primary side flow into the operation model to obtain 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; adjusting the parameters of the heating system according to 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; controlling the heating system to operate according to the adjusted parameters.

[0012] Optionally, when the heating strategy is a start-up strategy, before adjusting the parameters of the heating system according to the heating strategy, the method also includes: obtaining a second average value, determining the start-up time of the heating system based on the relationship between the second average value and the historical start-up time, and controlling the heating system to operate at the start-up time, wherein the second average value is the average value of the outdoor temperature on the day, and the relationship between the second average value and the historical start-up time is provided by the operation model.

[0013] According to another aspect of an embodiment of the present application, a device for controlling the low-carbon operation of a heating system is provided, including: an acquisition module, used to obtain the policy push moment of the heating system, and determine the heating strategy to be pushed according to the policy push moment, if the policy push moment is the first moment, the heating strategy is determined to be a shutdown strategy, if the policy push moment is not the first moment, the heating strategy is determined to be a startup strategy or an adjustment strategy, wherein the first moment is the last policy push moment in a policy push cycle; a control module, used to adjust the parameters of the heating system according to the heating strategy, and control the low-carbon operation of the heating system according to the parameters.

[0014] According to another aspect of an embodiment of the present application, a non-volatile storage medium is also provided, which includes a stored program, wherein when the program is running, the device where the non-volatile storage medium is located is controlled to execute the above-mentioned method for controlling the low-carbon operation of the heating system.

[0015] According to another aspect of an embodiment of the present application, a processor is further provided, which is used to run a program stored in a memory, wherein the above-mentioned method for controlling the low-carbon operation of a heating system is executed when the program is run.

[0016] In an embodiment of the present application, a method for controlling the low-carbon operation of a heating system is provided according to one aspect of an embodiment of the present application, including: obtaining the policy push moment of the heating system, and determining the heating strategy to be pushed according to the policy push moment, wherein, if the policy push moment is the first moment, determining the heating strategy as the shutdown strategy; if the policy push moment is not the first moment, determining the heating strategy as the startup strategy or the adjustment strategy, wherein the first moment is the last policy push moment in a policy push cycle; adjusting the parameters of the heating system according to the heating strategy, and controlling the low-carbon operation of the heating system according to the parameters. By determining the push strategy according to the policy push moment and adjusting the parameters of the heating system according to the content of the push strategy, the purpose of controlling the heating system to operate according to the heating strategy is achieved, thereby realizing the technical effect of on-demand heating, reducing carbon emissions, and improving the consistency of heating system management, thereby solving the technical problem of inability to provide heating on demand and inconsistent standards for the management of the heating system caused by the manual management of the heating system in the existing technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0018] Figure 1 is a flow chart of a method for controlling a heating system according to an embodiment of the present application;

[0019] Figure 2 is a structural diagram of a device for controlling a heating system according to an embodiment of the present application;

[0020] Figure 3 This is a schematic diagram of a workflow of a policy generation system according to an embodiment of the present application;

[0021] Figure 4 1 is a schematic diagram of a shutdown strategy module according to an embodiment of the present application;

[0022] Figure 5 This is a schematic diagram of the workflow of a power-on strategy module according to an embodiment of the present application;

[0023] Figure 6 This is a schematic diagram of a workflow of an adjustment strategy module according to an embodiment of the present application;

[0024] Figure 7 This is a workflow diagram of a strategy generation module according to an embodiment of the present application. DETAILED DESCRIPTION

[0025] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of this application.

[0026] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in a sequence other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0027] According to an embodiment of the present application, an embodiment of a method for controlling a heating system is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0028] Figure 1 is a flow chart of a method for controlling a heating system according to an embodiment of the present application. Figure 1 As shown, the method includes the following steps:

[0029] Step S102, obtain the policy push time of the heating system, and determine the heating strategy to be pushed according to the policy push time, wherein, if the policy push time is the first moment, determine the heating strategy as the shutdown strategy, if the policy push time is not the first moment, determine the heating strategy as the startup strategy or the adjustment strategy, wherein the first moment is the last policy push moment in a policy push cycle.

[0030] In step S102, the strategy time point of the current heating system is obtained, the strategy type of the pushed operation strategy is determined according to the current strategy time point, and the above strategy time point is judged. If it is determined according to the result of the judgment that the above strategy time point is the last strategy time point in a strategy push cycle, it is determined that the heating system pushes a shutdown strategy. If it is determined that the above strategy time point is the first strategy time point in a strategy push cycle, it is determined that the heating system pushes a startup strategy or an adjustment strategy.

[0031] Step S104: adjusting the parameters of the heating system according to the heating strategy, and controlling the low-carbon operation of the heating system according to the parameters.

[0032] According to the heating strategy determined in step S102, the parameters of the heating system are adjusted, and the heating system is controlled to operate according to the adjusted parameters to achieve the purpose of low-carbon operation.

[0033] Through the above steps, the heating system can be operated based on the generated heating strategy, which can achieve the purpose of precise heating on demand, while avoiding excessive heating of the heating system, reducing resource waste and carbon emissions of the heating system, and the pushed heating strategy can better meet the actual situation of the project; in addition, by automatically pushing the heating operation strategy, it replaces the traditional manual experience control method, avoiding dependence on personnel's professional experience, and saving labor costs.

[0034] According to another aspect of an embodiment of the present application, if the strategy push moment is not the first moment, determining that the heating strategy is a startup strategy or an adjustment strategy includes the following steps: obtaining a first average value, wherein the first average value is the average value of the outdoor temperature between the current strategy push moment and the next strategy push moment; if the first average value is less than or equal to a preset value, and the strategy push moment is the second moment, determining that the heating strategy is a startup strategy, wherein the second moment is the first strategy push moment in a strategy push cycle; if the first average value is less than or equal to the preset value, and the strategy push moment is not the second moment, determining that the heating strategy is an adjustment strategy.

[0035] In this embodiment, the preset value is set to 15, which means that the preset reference temperature is 15°C. When the strategy push moment is not the last strategy push moment mentioned above, the average outdoor temperature from the current strategy moment to the next strategy moment is calculated to obtain the future outdoor temperature (i.e., the first average value). If the above-mentioned future outdoor temperature is less than or equal to 15°C, and the current strategy push moment is the first strategy push moment in a strategy push cycle (i.e., the second moment), it is determined that the heating system pushes the startup strategy; if the above-mentioned future outdoor temperature is less than or equal to 15°C, and the current strategy push moment is not the above-mentioned first strategy push moment (i.e., the second moment), it is determined that the heating system pushes the adjustment strategy.

[0036] According to another aspect of the embodiment of the present application, before adjusting the parameters of the heating system according to the heating strategy, the method for controlling the low-carbon operation of the heating system also includes the following steps: obtaining historical parameters of the heating system, wherein the historical parameters include at least one of the following: historical operating status of the heating system, historical primary side flow of the heating system, historical primary side water supply temperature and historical primary side return water temperature, historical secondary side flow of the heating system, historical secondary side water supply temperature and historical secondary side return water temperature, historical indoor temperature and its corresponding outdoor temperature, wherein the primary side is the side where the heating system is connected to the heat source system, and the secondary side is the side where the heating system is connected to the heating terminal; generating an operation model of the heating system according to the historical parameters, wherein the operation model is used to represent the relationship between the heat exchange amount and temperature of the heating system, wherein the heat exchange amount is the heat released during heat exchange in the heating system.

[0037] According to this embodiment, before adjusting the parameters of the heating system according to the heating strategy, it is necessary to collect the historical operating parameters of the heat station (i.e., the heating system), such as: the operating status of the heating equipment in the heating system (when the heating equipment is a boiler, the historical operating status of the boiler is collected), the total flow rate G1 (i.e., the first flow rate) on the primary side, the total water supply temperature t 1,g (i.e. the first water supply temperature), the primary side total return water temperature t 1,h (i.e. the first return water temperature), the total secondary side flow rate G2 (i.e. the second flow rate), the total secondary side water supply temperature t 2,g (i.e. the second water supply temperature), the secondary side total return water temperature t 2,h (i.e. the second return water temperature). In addition, it is also necessary to collect the historical working environment of the above heating system, such as the actual indoor temperature t in , and the outdoor temperature t corresponding to the indoor temperature at that time out Based on the collected data, an operating model of the heating system is established. This operating model is a practical theoretical model of the heating system, used to represent the relationship between various parameters in the heating system and its heat supply. It should be noted that the operating model also provides fitting formulas for heat exchange, temperature drop rate, startup time, and other formulas based on the relationship between the heat exchange and temperature of the heating system. The above model is expressed as the following formula:

[0038] Building heat load (Q1): Q1 = KF1 (t in -t out ), which represents the relationship between building heat load and outdoor temperature, where building heat load is the heat released by a building's heating system to adjust the current temperature to the target temperature;

[0039] Heat exchange capacity of terminal air-conditioning box (Q2): Indicates the amount of heat released by the terminal (secondary side) equipment (such as air conditioning box) when the heating system adjusts the current temperature to the target temperature;

[0040] Secondary heating network heat supply (Q3): Q3 = 1.163G2 (t 2,g -t 2,h ), which represents the heat released by the secondary heating network in the heating system when the heating system adjusts the current temperature to the target temperature;

[0041] Plate heat exchanger heat transfer capacity (Q4): Indicates the heat released by the primary side equipment (such as plate heat exchanger) when the heating system adjusts the current temperature to the target temperature;

[0042] Primary heating network heat supply (Q5): Q5 = 1.163G1 (t 1,g -t 1,h ), which represents the heat released by the primary heat network in the heating system when the heating system adjusts the current temperature to the target temperature; among them, KF1, KF2, and KF3 represent the heat exchange parameters of the building, the terminal air-conditioning box, and the plate heat exchanger, respectively, which are obtained by fitting the historical operating parameters collected above.

[0043] According to some optional embodiments of the present application, when the heating strategy is a shutdown strategy, the parameters of the heating system are adjusted according to the heating strategy, and the operation of the heating system is controlled according to the parameters, including the following situations: if the current operating state of the heating system is a shutdown state, the shutdown time is output, wherein the shutdown time is the first time; if the current operating state of the heating system is not a shutdown state, the current indoor temperature and the target indoor temperature are obtained, and the stopping time of the heating system is determined according to the current indoor temperature, the target indoor temperature and the temperature drop rate, and the heating system is controlled to stop running at the stopping time, wherein the temperature drop rate is provided by the operating model.

[0044] When the heating strategy is a shutdown strategy, the parameters of the heating system are adjusted according to the heating strategy, and the operation of the heating system is controlled according to the parameters, including: if the current operating state of the heating system is a shutdown state, the shutdown time is output, wherein the shutdown time is the first time; if the current operating state of the heating system is not a shutdown state, the current indoor temperature and the target indoor temperature are obtained, and the stopping time of the heating system is determined according to the current indoor temperature, the target indoor temperature and the temperature drop rate, and the heating system is controlled to stop running at the stopping time, wherein the temperature drop rate is provided by the operation model.

[0045] In this embodiment, the strategy moment is the last strategy push moment of a strategy push cycle. At this time, the shutdown strategy (i.e., shutdown strategy) is pushed to the heating system. The specific process of the heating system executing the shutdown strategy is as follows:

[0046] First, determine the operating status of the heating system; if the current heating system is in a shutdown state, output the last strategy push moment in the form of time, and define it as the shutdown time of the heating system (i.e., the time to stop running); if the current heating system is not in a shutdown state, collect the current indoor temperature and the target temperature of the indoor temperature control by the heating system, predict the time required for the current indoor temperature to change to the target indoor temperature after the heating system is shut down, and determine the shutdown time of the heating system according to the formula: shutdown time = end of business time - temperature drop time; among which, the end of business time is the time when the heating building stops operating and does not need to maintain the target indoor temperature, and the temperature drop time is calculated by the formula: temperature drop time The temperature reduction time is determined by: (current indoor temperature - target indoor temperature) * n; wherein, n is the rate of decrease of indoor temperature after the heating system is shut down, which is obtained by fitting the data of the above-mentioned historical operating parameters and provided by the above-mentioned operating model; the heating system is then controlled to stop running at the above-mentioned shutdown time; for example, if the boiler is currently shut down (for example, the operating status of all boilers = 0), the current strategy time is output as the shutdown time; if the boiler is currently running (for example, the operating status of any boiler = 1), the shutdown time is calculated; if the temperature reduction rate of the project is n, that is, it takes n minutes to drop by 1°C, then the temperature reduction time = (current indoor temperature - indoor temperature control target) * n, and the shutdown time = the end of business hours - the temperature reduction time.

[0047] The above-mentioned closing business time is the time when the service recipients of the heating system no longer need the heating system to provide the target indoor temperature.

[0048] According to other optional embodiments of the present application, the method for controlling the low-carbon operation of the heating system also includes: if the strategy push 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 to prompt the heating system to stop operating.

[0049] In some optional embodiments of the present application, when the preset reference temperature is set to 15°C, when the policy push moment is not the first moment and the future outdoor temperature is greater than 15°C, a prompt message is output to remind the heating system to shut down.

[0050] According to one aspect of an embodiment of the present application, when the heating strategy is a start-up strategy or an adjustment strategy, the parameters of the heating system are adjusted according to the heating strategy, including: using a first average value and an operation model to determine the thermal load of the heating system, wherein the thermal load is the heat released by the heating system to adjust the current indoor temperature to the target indoor temperature; obtaining the rated heating capacity of the heating system, and determining the number of heating equipment in the heating system based on the thermal load and the rated heating capacity; determining the target secondary side flow rate based on the thermal load, wherein the target secondary side flow rate is in direct proportion to the thermal load; determining the number of secondary side water pumps as the number of heating equipment, obtaining the rated flow rate of the secondary side water pump, and determining the operating frequency of the secondary side water pump based on the number of secondary side water pumps, the rated flow rate of the secondary side water pump and the target secondary side flow rate; determining the number of primary side water pumps as the number of heating equipment, obtaining the rated flow rate of the primary side water pump, and determining the target primary side flow rate as the product of the number of primary side water pumps and the rated flow rate of the primary side water pump.

[0051] 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 the parameters of the heating system according to the startup strategy or the adjustment strategy, the heat load required by the heating system to achieve the target indoor temperature must be predicted based on the future outdoor temperature (i.e., the first average value), wherein the fitting relationship between the building heat load and the outdoor temperature provided by the above-mentioned operation model is: Q1=KF1(t in -t out ) in t in is replaced by the target indoor temperature, t out The heat load is predicted by replacing the future outdoor temperature (i.e., the first average value). Then, the heat load obtained can be used to calculate the values ​​to which the parameters of the heating system should be adjusted in order to output the heat load of the above value, for example:

[0052] When the heating equipment is determined to be a boiler, the number of boilers is determined based on the following formula: Number of boilers = predicted heat load / (rated heating capacity of boilers * 1.1). The result is rounded to the nearest integer, and the number of primary and secondary water pumps in the heating system is kept consistent with the number of boilers. The target secondary flow rate is determined based on the proportional relationship between secondary flow rate and heat load. The operating frequency of the secondary water pump is determined based on the following formula: operating frequency of the secondary water pump = 50 * secondary flow rate / (number of secondary water pumps * rated flow rate of the secondary water pump). The target primary flow rate is determined based on the following formula: primary flow rate = number of primary water pumps * rated flow rate of the primary water pump.

[0053] It should be noted that the primary side mentioned above is used to represent the primary heating pipe network system in the heating system, which refers to the pipe network between the total heat source of the centralized heating system (the first heating station or boiler room) and the plate heat exchanger; the secondary side is used to represent the secondary heating pipe network system in the heating system, which refers to the hot water pipe network from the plate heat exchanger to the terminal system.

[0054] According to another aspect of an embodiment of the present application, when the heating strategy is a start-up strategy or an adjustment strategy, the parameters of the heating system are adjusted according to the heating strategy, and the operation of the heating system is controlled according to the parameters, including the following operations: the heat load, the target indoor temperature and the target primary side flow are input into the operation model to obtain the target primary side water supply temperature, the primary side return water temperature, the target secondary side water supply temperature and the target secondary side return water temperature; the parameters of the heating system are adjusted according to the target primary side water supply temperature, the target primary side return water temperature, the target secondary side water supply temperature and the target secondary side return water temperature; and the heating system is controlled to operate according to the adjusted parameters.

[0055] By inputting the heat load, total primary flow rate (i.e., target primary flow rate), and total secondary flow rate (i.e., target secondary flow rate) obtained in the previous embodiment into the above-established operation model, the (target) primary supply water temperature, (target) primary return water temperature, (target) secondary supply water temperature, and (target) secondary return water temperature of the heating system can be determined, and the heating system can be adjusted based on the solution results. The specific solution method is as follows:

[0056] Secondary network water supply temperature

[0057] Secondary network return water temperature

[0058] Primary network water supply temperature

[0059] Primary network return water temperature Among them, T in,target Indicates the target temperature, Q indicates the predicted heat load, G1 indicates the total flow rate on the primary side, and G2 indicates the total flow rate on the secondary side.

[0060] It should also be noted that the future outdoor temperature mentioned in the above embodiment can be obtained by obtaining temperature information in the weather forecast and performing calculations.

[0061] According to another aspect of the embodiment of the present application, when the heating strategy is a start-up strategy, before adjusting the parameters of the heating system according to the heating strategy, the method also includes: obtaining a second average value, determining the start-up time of the heating system based on the relationship between the second average value and the historical start-up time, and controlling the heating system to operate at the start-up time, wherein the second average value is the average value of the outdoor temperature on that day, and the relationship between the second average value and the historical start-up time is provided by the operation model.

[0062] In this embodiment, if the strategy pushed to the heating system is a startup strategy, the strategy content of the startup strategy needs to be generated before adjusting the parameters of the heating system according to the startup strategy; some contents of the startup strategy are as follows: first, obtain the outdoor average temperature of the day (i.e., the second average value), and then obtain the relationship between the startup time of the heating system and the outdoor average temperature. The relationship between the startup time and the outdoor average temperature is obtained by data fitting of historical operating parameters, and is provided by the operating model mentioned in the above embodiment; then, the startup time of the heating system is predicted based on the outdoor average temperature of the day, and the relationship between the startup time and the outdoor average temperature, and the heating system is controlled to start operating at the startup time.

[0063] Figure 2 is a structural diagram of a device for controlling a heating system according to an embodiment of the present application, such as Figure 2 As shown, the device includes: an acquisition module 20, which is used to obtain the policy push moment of the heating system, and determine the heating strategy to be pushed according to the policy push moment, wherein, if the policy push moment is the first moment, the heating strategy is determined to be a shutdown strategy, and if the policy push moment is not the first moment, the heating strategy is determined to be a startup strategy or an adjustment strategy, wherein the first moment is the last policy push moment in a policy push cycle; a control module 22, which is used to adjust the parameters of the heating system according to the heating strategy, and control the low-carbon operation of the heating system according to the parameters.

[0064] In this embodiment, a device for controlling a heating system is provided. When the device is applied to a heating system in a small boiler room of a public building, the device collects historical operating parameters of the heating station and actual historical indoor and outdoor temperatures to establish an actual theoretical model of the heating system; obtains parameters required for calculation, including static information of the heating system and dynamic docking parameters; determines the policy type of the pushed heating station operation policy based on the current policy time point; generates specific policy content based on the policy generation method of each type; and pushes the heating station operation policy to on-site operation and maintenance engineers. This achieves the purpose of on-demand control, avoiding excessive heating, saving energy consumption, reducing carbon emissions, and improving management consistency while ensuring the quality of the indoor environment.

[0065] In addition, in the specific implementation, this method not only obtains the strategy push time, but also obtains the parameters of the dynamic docking in the heating system, such as: the current indoor environment, boiler operating status, the average outdoor temperature on the day the method is implemented, and the average outdoor temperature from the current strategy moment to the next strategy moment.

[0066] Based on this embodiment, a specific implementation method is provided. Based on the real-time collected Internet of Things (IoT) data, combined with expert experience and artificial intelligence (AI) algorithms, a heat source operation model is established, and the optimal low-carbon operation control strategy of the heat source is automatically generated according to the real-time predicted heat load. Figure 3 It is the workflow diagram of the strategy generation system, such as Figure 3 As shown, the system starts working, collects strategy points and determines whether it is the last strategy push point. If so, the process of the shutdown strategy module is executed. If not, it determines whether the future outdoor temperature is greater than the preset 15°C. If so, the device shutdown prompt is output. If not, it determines whether the collected strategy push point is the first strategy push point. If so, the process of the startup strategy module is executed. If not, the process of the adjustment strategy module is executed.

[0067] Figure 4 This is the flowchart of the shutdown strategy module, as shown in Figure 4 As shown, first judge the current state of the boiler. If the current boiler is in the shutdown state, the current strategy moment is output as the shutdown moment. If it is not in the shutdown state, call the current indoor temperature and indoor temperature control target in the previously collected data, and based on the above data, predict the shutdown time according to the shutdown temperature drop rate provided by the pre-established operation model, and output the shutdown time.

[0068] Figure 5 This is the flowchart of the above startup strategy module, as shown Figure 5 As shown, the process of the startup strategy module is divided into two parts. When executing the first part, the daily average temperature is first called, and the startup time is obtained according to the startup time fitting formula provided by the operation model established in advance; after the heating system is controlled to start at the startup time, the second part of the startup strategy module is executed, the weather interface is called and the future outdoor temperature is calculated, and the heat released by the heating system when adjusting the current temperature to the target temperature is predicted according to the heat load fitting formula provided by the operation model, and the strategy generation module process is entered. Finally, the startup strategy generated by the strategy generation module is executed.

[0069] Figure 6 This is the flow chart of the above adjustment strategy module, as shown in Figure 6 As shown, the process of the adjustment strategy module is the same as the second part of the startup strategy module. First, the data representing the future outdoor temperature is called, and the heat released by the heating system when adjusting the current temperature to the target temperature is predicted according to the heat load fitting formula provided by the operation model. Then, the strategy generation module process is entered, and finally the adjustment strategy generated by the strategy generation module is executed.

[0070] Figure 7 The flow chart of the policy generation module that exists in both the adjustment policy module and the startup policy module is as follows: Figure 7 As shown, the steps performed by the strategy generation module are as follows:

[0071] Step 1: Calculate the number of boilers based on the predicted heat load (predicted heat) and the rated heat supply of the boilers.

[0072] Step 2: Set the number of primary pumps and secondary pumps to be equal to the number of boilers;

[0073] Step 3: Based on the proportional relationship between secondary network flow and load, calculate the total secondary side flow corresponding to the predicted heat load;

[0074] Step 4: Calculate the primary side flow rate based on the number of primary pumps and the rated flow rate of the primary pump;

[0075] Step 5: Calculate the secondary pump frequency based on the number of secondary pumps and the rated flow rate of the secondary pumps;

[0076] Step 6. Based on the above calculation results and the theoretical model of the heating system, the calculation formula for the supply and return water temperature of the primary and secondary networks can be derived:

[0077] Secondary network water supply temperature

[0078] Secondary network return water temperature

[0079] Primary network water supply temperature

[0080] Primary network return water temperature The data called above, such as the data representing the future outdoor temperature, are all collected in advance by the system. The system collects static parameters and dynamic docking parameters. The static parameters include: the total number of boilers, the rated heating capacity of the boilers Q rated , rated flow of primary pump G 1,rated , Secondary pump rated flow G 2,rated , indoor temperature control target T in,target Dynamic docking parameters include: current indoor environment, boiler operating status, predicted average outdoor temperature on the strategy day, and predicted future outdoor temperature. During implementation, by studying historical heating data, the relationship between heat load and indoor and outdoor temperature was refined, and a theoretical model of the heating system was established. The resulting heating system operation strategy can achieve precise on-demand heating, and the pushed operation strategy is more suitable for the actual project situation. Furthermore, by automatically pushing the heating operation strategy, traditional manual experience-based control methods are replaced, avoiding reliance on personnel professional experience and saving labor costs.

[0081] An embodiment of the present application further provides a non-volatile storage medium, which includes a stored program, wherein when the program is running, the device where the non-volatile storage medium is located is controlled to execute the above method for controlling a heating system.

[0082] The above-mentioned non-volatile storage medium is used to store programs that perform the following functions: obtain the policy push time of the heating system, and determine the heating strategy to be pushed based on the policy push time, wherein, if the policy push time is the first moment, the heating strategy is determined to be a shutdown strategy; if the policy push time is not the first moment, the heating strategy is determined to be a startup strategy or an adjustment strategy, wherein the first moment is the last policy push moment in a policy push cycle; adjust the parameters of the heating system according to the heating strategy, and control the low-carbon operation of the heating system according to the parameters.

[0083] An embodiment of the present application further provides a processor, which is used to run a program stored in a memory, wherein the program executes the above method for controlling a heating system when it is run.

[0084] The above-mentioned processor is used to execute a program with the following functions: obtaining the policy push moment of the heating system, and determining the heating strategy to be pushed based on the policy push moment, wherein, if the policy push moment is the first moment, the heating strategy is determined to be a shutdown strategy; if the policy push moment is not the first moment, the heating strategy is determined to be a startup strategy or an adjustment strategy, wherein the first moment is the last policy push moment in a policy push cycle; adjusting the parameters of the heating system according to the heating strategy, and controlling the low-carbon operation of the heating system according to the parameters.

[0085] The serial numbers of the above embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0086] In the above embodiments of the present application, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0087] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only exemplary. For example, the division of the units can be a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0088] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0089] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0090] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the relevant technology or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0091] The above is only a preferred embodiment of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for controlling low-carbon operation of a heating system, characterized in that: include: Obtaining a policy push time of the heating system, and determining a heating policy to be pushed according to the policy push time, wherein if the policy push time is the first time, determining the heating policy to be a shutdown policy; if the policy push time is not the first time, determining the heating policy to be a startup policy or an adjustment policy, wherein the first time is the last policy push time in a policy push cycle; Adjusting the parameters of the heating system according to the heating strategy, and controlling the low-carbon operation of the heating system according to the parameters; If the strategy push moment is not the first moment, determining that the heating strategy is a startup strategy or an adjustment strategy includes: obtaining a first average value, wherein the first average value is the average value of the outdoor temperature between the current strategy push moment and the next strategy push moment; if the first average value is less than or equal to a preset value, and the strategy push moment is a second moment, determining that the heating strategy is the startup strategy, wherein the second moment is the first strategy push moment in a strategy push cycle; if the first average value is less than or equal to the preset value, and the strategy push moment is not the second moment, determining that the heating strategy is the adjustment strategy.

2. The method according to claim 1, characterized in that Before adjusting the parameters of the heating system according to the heating strategy, the method further includes: Obtaining historical parameters of the heating system, wherein the historical parameters include at least one of the following: a historical operating state of the heating system, a historical primary side flow rate, a historical primary side water supply temperature, and a historical primary side return water temperature of the heating system, a historical secondary side water flow rate, a historical secondary side water supply temperature, and a historical secondary side return water temperature of the heating system, a historical indoor temperature, and the corresponding outdoor temperature, wherein the primary side is the side of the heating system connected to the heat source system, and the secondary side is the side of the heating system connected to the heating terminal; An operation model of the heating system is generated based on the historical parameters, wherein the operation model is used to represent the relationship between the heat exchange amount and the temperature of the heating system, wherein the heat exchange amount is the heat released during heat exchange in the heating system.

3. The method according to claim 2, characterized in that When the heating strategy is the shutdown strategy, adjusting the parameters of the heating system according to the heating strategy, and controlling the heating system to operate in a low-carbon manner according to the parameters, includes: If the current operating state of the heating system is a shutdown state, output the shutdown time, wherein the shutdown time is the first time; If the current operating state of the heating system is not the shutdown state, obtain the current indoor temperature and the target indoor temperature, determine the stopping time of the heating system based on the current indoor temperature, the target indoor temperature and the temperature drop rate, and control the heating system to stop operating at the stopping time, wherein the temperature drop rate is provided by the operating model.

4. The method for controlling low-carbon operation of a heating system according to claim 3, characterized in that: The method further comprises: If the policy push time is not the first time, and the first average value is greater than the preset value, a prompt message is output, wherein the prompt message is used to prompt the heating system to stop operating.

5. The method according to claim 3, characterized in that When the heating strategy is the startup strategy or the adjustment strategy, adjusting the parameters of the heating system according to the heating strategy includes: Determining a heat load of the heating system using the first average value and the operation model, wherein the heat load is the amount of heat released by the heating system when adjusting the current indoor temperature to the target indoor temperature; Obtaining a rated heat supply of the heating system, and determining the number of heating devices in the heating system according to the heat load and the rated heat supply; determining a target secondary-side flow rate according to the heat load, wherein the target secondary-side flow rate is in direct proportion to the heat load; Determining the number of secondary water pumps as the number of the heating equipment, obtaining the rated flow rates of the secondary water pumps, and determining the operating frequency of the secondary water pumps based on the number of the secondary water pumps, the rated flow rates of the secondary water pumps, and the target secondary flow rate; The number of primary water pumps is determined to be the number of the heating equipment, the rated flow of the primary water pump is obtained, and the product of the number of the primary water pumps and the rated flow of the primary water pump is determined as the target primary flow.

6. The method according to claim 5, characterized in that When the heating strategy is the startup strategy or the adjustment strategy, adjusting the parameters of the heating system according to the heating strategy, and controlling the low-carbon operation of the heating system according to the parameters, includes: Inputting the heat load, the target indoor temperature, and the target primary side flow rate into the operation model to obtain a target primary side supply water temperature, a target primary side return water temperature, a target secondary side supply water temperature, and a target secondary side return water temperature; adjusting the parameters of the heating system according to the target primary side water supply temperature, the target primary side return water temperature, the target secondary side water supply temperature, and the target secondary side return water temperature; The heating system is controlled to operate according to the adjusted parameters.

7. The method according to claim 2, characterized in that When the heating strategy is the startup strategy, before adjusting the parameters of the heating system according to the heating strategy, the method further includes: Obtain a second average value, determine the start-up time of the heating system based on the relationship between the second average value and the historical start-up time, and control the heating system to operate at the start-up time, wherein the second average value is the average value of the outdoor temperature on the day, and the relationship between the second average value and the historical start-up time is provided by the operation model.

8. A device for controlling low-carbon operation of a heating system, characterized in that: include: an acquisition module, configured to acquire a policy push time of the heating system, and determine a heating policy to be pushed according to the policy push time, wherein if the policy push time is the first time, the heating policy is determined to be a shutdown policy; if the policy push time is not the first time, the heating policy is determined to be a startup policy or an adjustment policy, wherein the first time is the last policy push time in a policy push cycle; a control module, configured to adjust parameters of the heating system according to the heating strategy, and control the heating system to operate in a low-carbon manner according to the parameters; The device for controlling the low-carbon operation of the heating system is also used to perform the following steps: if the strategy push moment is not the first moment, determining that the heating strategy is a startup strategy or an adjustment strategy, including: obtaining a first average value, wherein the first average value is the average value of the outdoor temperature between the current strategy push moment and the next strategy push moment; if the first average value is less than or equal to a preset value, and the strategy push moment is a second moment, determining that the heating strategy is the startup strategy, wherein the second moment is the first strategy push moment in a strategy push cycle; if the first average value is less than or equal to the preset value, and the strategy push moment is not the second moment, determining that the heating strategy is the adjustment strategy.

9. A non-volatile storage medium, characterized in that: The non-volatile storage medium includes a stored program, wherein when the program is running, the device where the non-volatile storage medium is located is controlled to execute the method for controlling low-carbon operation of a heating system according to any one of claims 1 to 7.

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