Central air conditioner energy-saving mode control method, equipment, medium and product

Abstract

The invention discloses a central air conditioner energy-saving mode control method and device, a medium and a product, and relates to the field of central air conditioner control. The method comprises the steps that the demand quantity is determined according to historical basic data of a current space, and a first curve is generated; determining supply and demand according to historical pipeline data, and generating a second curve; according to the current weather forecast data, the current pipeline data and the basic data of the current space, the water supply set temperature and the water supply flow are predicted in combination with the first curve and the second curve; the predicted water supply set temperature and the predicted water supply flow are optimized in real time through a circulating pump set flow adjusting strategy; and the air conditioning unit is controlled through the optimized water supply set temperature and the optimized water supply flow. The adjusting precision and the energy efficiency of the central air conditioning system can be improved.

Description

Technical Field

[0001] The present application relates to the field of central air-conditioning control, and particularly to a control method, device, medium and product for the energy-saving mode of central air-conditioning. Background Art

[0002] Existing central air-conditioning systems have problems such as insufficient accuracy in valve control and circulating pump group flow regulation, inability to dynamically adjust the set supply water temperature, high energy consumption, and lack of prediction of cooling / heating demands in future time periods, resulting in energy waste. Among them, the central air-conditioning system mainly has the following deficiencies:

[0003] (1) Most of the valves in the current central air-conditioning circulation pipeline are manual gate valves, and the opening and closing of the valves need to be manually operated. Even if some of the valves in the central air-conditioning project circulation pipeline use electric valves, the control of the electric valves is still manual control and requires manual control; therefore, after many central air-conditioning devices are put into use, the valves are in the normally open state. If all the valves in the circulation pipeline are in the normally open state, then the unoperated air-conditioning unit modules will inevitably divide part of the flow and pressure of the total outlet pipeline of the circulating pump group. In order to meet the requirements of the operated air-conditioning unit modules, the circulating pump group needs to output more energy to meet the flow and pressure required by the operated air-conditioning unit modules;

[0004] (2) The control methods of the current central air-conditioning circulating pump group are mostly industrial frequency operation or constant frequency operation; industrial frequency operation or constant frequency operation makes the outlet water flow always the same, but when the heating / cooling demand decreases or the current ambient temperature is not much different from the heating / cooling demand (the ambient temperature is higher in the heating mode and lower in the cooling mode), due to the inability to automatically adjust the flow in the circulation pipeline or the adjustment is not accurate enough, energy waste will occur;

[0005] (3) The set value of the supply water temperature of the current central air-conditioning system is generally a fixed value or set according to the administrator's experience. The central air-conditioning system cannot automatically adjust dynamically according to the change of the ambient temperature, resulting in the problem of energy waste;

[0006] (4) The current central air-conditioning system cannot predict or suggest the cooling / heating demands required in future time periods, and thus the central air-conditioning system cannot automatically adjust the target temperature of cooling or heating according to the actual demand. Therefore, when the demand increases, the central air-conditioning system cannot meet the demand in time, and when the demand decreases, the central air-conditioning system cannot make timely adjustments, which will surely cause energy waste;

[0007] Based on the above problems, there is an urgent need to provide a control method for the energy-saving mode of central air-conditioning to improve the adjustment accuracy and energy efficiency of the central air-conditioning system. Summary of the Invention

[0008] The purpose of this application is to provide a central air - conditioning energy - saving mode control method, device, medium and product, which can improve the adjustment accuracy and energy efficiency of the central air - conditioning system.

[0009] To achieve the above object, this application provides the following solutions:

[0010] In the first aspect, this application provides a central air - conditioning energy - saving mode control method, and the central air - conditioning energy - saving mode control method includes:

[0011] Determine the demand quantity according to the historical basic data of the current space and generate a first curve; the basic data includes: the area of each room, the number of air conditioners used, the ambient temperature, the floor height of each air - conditioned room, and the number of people; the demand quantity is the heating demand quantity or the cooling demand quantity; the first curve is used to characterize the relationship between the basic data and the demand quantity;

[0012] Determine the supply - demand quantity according to the historical pipeline data and generate a second curve; the supply - demand quantity is the heating supply - demand or the cooling supply - demand; the pipeline data includes the instantaneous flow rate of the circulating pump group outlet water, the supply water temperature, and the return water temperature; the second curve is used to characterize the relationship between the pipeline data and the supply - demand quantity;

[0013] Predict the supply water set temperature and the supply water flow rate according to the current weather forecast data, the current pipeline data and the basic data of the current space, in combination with the first curve and the second curve;

[0014] Use the circulating pump group flow rate adjustment strategy to optimize the predicted supply water set temperature and the supply water flow rate in real - time; the circulating pump group flow rate adjustment strategy is to determine the deviation value corresponding to the supply water set temperature according to the ambient temperature in different temperature intervals, and use the deviation value to optimize the supply water temperature; and optimize the supply water flow rate according to the interval where the difference between the optimized supply water set temperature and the return water temperature is located;

[0015] Control the air - conditioning unit by using the optimized supply water set temperature and the supply water flow rate.

[0016] Optionally, the step of determining the demand quantity according to the historical basic data of the current space and generating a first curve specifically includes:

[0017] Use the formula \(W = S\times Z\) to determine the demand quantity \(W\);

[0018] Where \(S\) is the area of the room and \(Z\) is the heating / cooling quantity required per unit area.

[0019] Optionally, the step of determining the supply - demand quantity according to the historical pipeline data and generating a second curve specifically includes:

[0020] Use the formula \(N=\dot{m}\times c_p\times\Delta T\) to determine the supply - demand quantity \(N\);

[0021] Wherein, m˙ is the mass flow rate of the circulating water, cp is the specific heat capacity of the circulating water, and ΔT is the difference between the supply water temperature and the return water temperature.

[0022] Optionally, before predicting the supply water set temperature and the supply water flow rate according to the current weather forecast data, the current pipeline data, and the basic data of the current space, in combination with the first curve and the second curve, it further includes:

[0023] Obtaining the current weather forecast data by using a heating and ventilation platform;

[0024] Obtaining the current supply water temperature by using a supply water temperature sensor installed on the water inlet pipeline of the air conditioning unit;

[0025] Obtaining the current return water temperature by using a return water temperature sensor installed on the water return pipeline of the air conditioning unit;

[0026] Obtaining the instantaneous flow rate of the water outlet of the current circulating pump group by using a flow meter installed at the water outlet end of the circulating pump;

[0027] Obtaining the current ambient temperature by using an ambient temperature sensor installed outdoors.

[0028] Optionally, before using the flow rate adjustment strategy of the circulating pump group to optimize the predicted supply water set temperature and the supply water flow rate in real time, it further includes:

[0029] Determining the flow rate adjustment strategy of the circulating pump group.

[0030] Optionally, the determining the flow rate adjustment strategy of the circulating pump group specifically includes:

[0031] Determining multiple temperature intervals;

[0032] Determining the deviation value of the corresponding supply water set temperature according to different temperature intervals;

[0033] Dividing the difference between the supply water set temperature and the return water temperature into multiple intervals;

[0034] Determining the pressure of the circulating pump by using a pressure sensor installed at the water outlet end of the circulating pump;

[0035] Determining the supply water flow rate corresponding to each interval according to the pressure of the circulating pump.

[0036] In a second aspect, the present application provides a central air-conditioning energy-saving mode control device, and the central air-conditioning energy-saving mode control device includes:

[0037] The first curve determination module is configured to determine the demand quantity according to the historical basic data of the current space and generate a first curve; the basic data includes: the area of each room, the number of air conditioners used, the ambient temperature, the floor height of each air-conditioned room, and the number of people; the demand quantity is the heating demand quantity or the cooling demand quantity; the first curve is used to characterize the relationship between the basic data and the demand quantity;

[0038] The second curve determination module is configured to determine the supply-demand quantity according to the historical pipeline data and generate a second curve; the supply-demand quantity is the heating supply-demand or the cooling supply-demand; the pipeline data includes the instantaneous flow rate of the circulating pump group outlet water, the supply water temperature, and the return water temperature; the second curve is used to characterize the relationship between the pipeline data and the supply-demand quantity;

[0039] The data prediction module is configured to predict the supply water set temperature and the supply water flow rate according to the current weather forecast data, the current pipeline data, and the basic data of the current space, in combination with the first curve and the second curve;

[0040] The data optimization module is configured to use the circulating pump group flow rate adjustment strategy to optimize the predicted supply water set temperature and the supply water flow rate in real time; the circulating pump group flow rate adjustment strategy is to determine the deviation value corresponding to the supply water set temperature according to the ambient temperature in different temperature intervals, and use the deviation value to optimize the supply water temperature; and optimize the supply water flow rate according to the interval where the difference between the optimized supply water set temperature and the return water temperature is located;

[0041] The control module is configured to control the air conditioner unit by using the optimized supply water set temperature and the supply water flow rate.

[0042] In a third aspect, the present application provides a computer device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor executes the computer program to implement the central air conditioner energy-saving mode control method described above.

[0043] In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the central air conditioner energy-saving mode control method described above.

[0044] In a fifth aspect, the present application provides a computer program product, including a computer program, and when the computer program is executed by a processor, it implements the central air conditioner energy-saving mode control method described above.

[0045] According to the specific embodiments provided by the present application, the present application has the following technical effects:

[0046] The present application provides a central air - conditioning energy - saving mode control method, device, medium and product. By predicting the water supply set temperature and water supply flow according to the current weather forecast data, current pipeline data and basic data of the current space, in combination with the first curve and the second curve, it solves the problem of the lack of prediction of cooling / heating demand in future periods in the prior art, prevents energy waste, and improves the energy efficiency of the central air - conditioning system. The present application uses the flow regulation strategy of the circulating pump group to optimize the predicted water supply set temperature and water supply flow in real - time, which can ensure that the central air - conditioning system can adjust the temperature and flow accurately according to the actual situation, and improves the adjustment accuracy of the central air - conditioning system. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0048] Figure 1 It is a schematic flow chart of a central air - conditioning energy - saving mode control method in an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0049] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, rather than all embodiments. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0050] To make the above - mentioned objects, features and advantages of the present application more obvious and understandable, the present application will be further described in detail below with reference to the drawings and specific embodiments.

[0051] In an exemplary embodiment, as Figure 1 shown, a central air - conditioning energy - saving mode control method is provided, and this method includes the following S101 to S105. Among them:

[0052] S101, determine the demand according to the historical basic data of the current space, and generate the first curve; the basic data includes: the area of each room, the number of air conditioners used, the ambient temperature, the floor height of each air - conditioned room, and the number of people; the demand is the heating demand or the cooling demand; the first curve is used to characterize the relationship between the basic data and the demand;

[0053] S101 specifically includes:

[0054] Determine the demand quantity W using the formula W = S × Z;

[0055] where S is the area of the room, in m 2 , and Z is the heating / cooling capacity required per unit area, in W / m 2 .

[0056] The determination process of the first curve is as follows:

[0057] 1. According to the opening situation of the room air conditioner, calculate the area that needs to be heated or cooled, and then calculate the heating or cooling capacity based on this area. During this process, the number of people in the room and the ambient temperature can be comprehensively considered to make some corrections to the calculated heating or cooling capacity (taking heating as an example, when the ambient temperature is low and there are many people, add some empirical values to the calculated heating demand, and vice versa subtract some empirical values);

[0058] 2. The data of heating or cooling demand actually changes in real time, and the formed first curve is also real-time. Its horizontal coordinate is time (this time is from 0 to 24 hours, and the minimum unit of the time axis can be set to 1 minute, 10 minutes, 1 hour... according to the data acquisition period. Therefore, this curve can truly reflect the demand changes every day), and the vertical coordinate represents the demand value;

[0059] In an exemplary embodiment, the number of air conditioners in use is determined by collecting the status of the air inlet valves in each room, that is, if the status of the air inlet valve is open, the air conditioner in the current room is in use; the area of each room is pre-set in the host computer (data platform) in advance. The host computer obtains the status of the air inlet valve and determines the heating / cooling capacity required per unit area according to the ambient temperature (T_out) obtained by the ambient temperature sensor installed outdoors, the floor height of each air-conditioned room, and the number of people.

[0060] S102. Determine the supply-demand quantity according to historical pipeline data and generate a second curve; the supply-demand quantity is the supply-demand of heating capacity or cooling capacity; the pipeline data includes the instantaneous flow rate of the circulating pump group outlet water, the supply water temperature, and the return water temperature; the second curve is used to characterize the relationship between the pipeline data and the supply-demand quantity;

[0061] S102 specifically includes:

[0062] Determine the supply-demand quantity N using the formula N = ṁ × cp × ΔT;

[0063] where ṁ is the mass flow rate of the circulating water, cp is the specific heat capacity of the circulating water, and ΔT is the difference between the supply water temperature and the return water temperature.

[0064] The second curve is obtained based on the flow rate, supply water temperature, return water temperature, and specific heat capacity of water; the horizontal coordinate of the second curve is time, and the setting of the time axis can refer to the setting of the first curve;

[0065] S103. Predict the set water supply temperature and water supply flow rate based on the current weather forecast data, current pipeline data, and basic data of the current space, in combination with the first curve and the second curve.

[0066] The first curve is the curve of demand, and the second curve is the curve of supply. The definitions of the abscissa and ordinate of the first curve and the second curve are the same. Therefore, the two curves can be placed in the same coordinate system for comparison, so as to clearly view the supply and demand quantities at the same time. If the supply is greater than the demand, reduce the heating temperature or the flow rate value. If the supply is less than the demand, check whether the temperature perception of each room is appropriate. If the temperature perception of the room is appropriate, the heating or cooling capacity can remain unchanged. If the temperature perception is inappropriate, increase the heating or cooling capacity.

[0067] Before S103, it also includes:

[0068] Obtain the current weather forecast data using the HVAC platform.

[0069] Obtain the current water supply temperature using the water supply temperature sensor installed on the inlet pipeline of the air conditioning unit.

[0070] Obtain the current return water temperature using the return water temperature sensor installed on the return pipeline of the air conditioning unit.

[0071] Obtain the instantaneous water flow rate at the outlet of the current circulating pump group using the flow meter installed at the outlet end of the circulating pump.

[0072] Obtain the current ambient temperature using the ambient temperature sensor installed outdoors.

[0073] S104. Optimize the predicted set water supply temperature and water supply flow rate in real time using the circulating pump group flow regulation strategy; the circulating pump group flow regulation strategy is to determine the deviation value corresponding to the set water supply temperature according to the ambient temperature in different temperature intervals, and use the deviation value to optimize the water supply temperature; and optimize the water supply flow rate according to the interval where the difference between the optimized set water supply temperature and the return water temperature is located.

[0074] The process of determining the circulating pump group flow regulation strategy is:

[0075] S1. Determine multiple temperature intervals.

[0076] S2. Determine the deviation value of the corresponding set water supply temperature according to different temperature intervals.

[0077] S3. Divide the difference between the set water supply temperature and the return water temperature into multiple intervals.

[0078] S4. Determine the pressure of the circulating pump using the pressure sensor installed at the outlet end of the circulating pump.

[0079] S5. Determine the water supply flow rate corresponding to each interval according to the pressure of the circulating water pump.

[0080] As an exemplary embodiment, taking the winter heating mode as an example, six temperature intervals of the ambient temperature T_out are determined, which are respectively:

[0081] N0: T_out < -10°C;

[0082] N1: -10°C ≤ T_out < -5°C;

[0083] N2: -5°C ≤ T_out < -0°C;

[0084] N3: 0°C ≤ T_out < 5°C;

[0085] N4: 5°C ≤ T_out < 10°C;

[0086] N5: 10°C ≤ T_out.

[0087] Determine the deviation values of different water supply set temperatures T_set according to the above temperature intervals, which are respectively:

[0088] When the ambient temperature T_out is in the N3 interval: T_set has no deviation;

[0089] When the ambient temperature T_out is in the N2 interval: T_set + 1°C;

[0090] When the ambient temperature T_out is in the N1 interval: T_set + 2°C;

[0091] When the ambient temperature T_out is in the N0 interval: T_set + 3°C;

[0092] When the ambient temperature T_out is in the N4 interval: T_set - 1°C;

[0093] When the ambient temperature T_out is in the N5 interval: T_set - 2°C;

[0094] The deviation value of each interval can be adjusted according to the actual situation, so as to realize the dynamic adjustment of the water supply set temperature;

[0095] Divide the difference △T between the water supply temperature set value T_set and the return water temperature T_return into 5 intervals; each interval corresponds to a different water supply flow rate Q (the minimum water supply flow rate should be able to meet the minimum operating flow rate of the entire air conditioner unit):

[0096] Interval 0: 20°C < △T, the water supply flow rate Q0 is set to 200 m 3 / h;

[0097] Interval 1: 15°C < △T ≤ 20°C, the water supply flow rate Q1 is set to 180 m 3 / h;

[0098] Interval 2: 10°C < △T ≤ 15°C, the water supply flow rate Q2 is set to 160 m 3 / h;

[0099] Interval 3: 5°C < △T ≤ 10°C, the water supply flow rate Q3 is set to 145 m 3 / h;

[0100] Interval 4: △T ≤ 5°C, the water supply flow rate Q4 is set to 135 m 3 / h;

[0101] Among them, Q0, Q1, Q2, Q3, and Q4 can be set according to the actual flow demand. Q4 is the minimum flow rate, which should be able to meet the minimum flow rate for the normal operation of the air-conditioning unit. Q0 is the maximum operating flow rate of the pump group. When operating at the maximum flow rate, it corresponds to the maximum frequency of the pump group. At this time, the pipeline pressure needs to be considered, and the pipeline pressure cannot exceed the maximum working pressure it can withstand.

[0102] S105. Use the optimized water supply set temperature and water supply flow rate to control the air-conditioning unit, thereby ensuring the stable operation of the entire central air-conditioning system.

[0103] Specifically, the air-conditioning unit is controlled by the PLC control unit. That is, the PLC control unit controls the water pump and the air-conditioning unit, and obtains weather forecast data, pipeline data, and basic data of the current space. At the same time, the PLC control unit can communicate with the upper computer.

[0104] Based on the above S101 - S105, a central air-conditioning energy-saving mode control method provided by the present application corresponds to a control system and an upper computer. The control system includes: a temperature sensor, a pressure sensor, a flow meter, a PLC control unit, and a heating, ventilation, and air-conditioning (HVAC) platform; the upper computer serves as a data platform. The control system transmits the collected sensing data to the data platform, and at the same time receives some control instructions issued by the data platform and executes these instructions.

[0105] In order to control the water supply flow rate, an electric valve is set in the pipeline; the electric valve is used for the water supply end and the return water end of the air-conditioning unit. A set of central air-conditioning units may have multiple small units (referred to as modules). A condition for each module to work properly is that the flow rate of the water supply pipeline needs to reach a certain value. If this flow rate value is less than the corresponding threshold, in order to protect the equipment safety, the module will not start. At the same time, when the central air-conditioning unit starts, not every small module will start. When the cooling or heating demand is small, it may only be necessary to start a small module.

[0106] Conventional units use mechanical valves. To ensure that each module of the unit starts normally, all valves are opened and the flow rate of the water supply pipeline is set very high. However, when only one module starts, if the electric valves at the water supply and return ends of the other non-started modules are all closed, this reduces the diversion of the pipeline flow rate. At this time, the actual flow rate of the pipeline will be much larger than that of one module. Therefore, the pipeline flow rate can be reduced (as long as the flow rate required for one module to operate is met). The pipeline flow rate can be reduced by reducing the number of operating water pumps and the operating frequency, thereby achieving the purpose of reducing energy consumption.

[0107] Based on the same inventive concept, an embodiment of the present application also provides a central air-conditioning energy-saving mode control device for implementing the central air-conditioning energy-saving mode control method involved above. The implementation solutions provided by this device to solve problems are similar to the implementation solutions described in the above method. Therefore, the specific limitations in one or more embodiments of the central air-conditioning energy-saving mode control device provided below can refer to the limitations on the central air-conditioning energy-saving mode control method in the above text, and will not be elaborated here.

[0108] In an exemplary embodiment, a central air-conditioning energy-saving mode control device is provided, including:

[0109] A first curve determination module, configured to determine a demand quantity according to historical basic data of the current space and generate a first curve; the basic data includes: the area of each room, the number of air conditioners used, the ambient temperature, the floor height of each air-conditioned room, and the number of people; the demand quantity is the heating demand quantity or the cooling demand quantity; the first curve is used to characterize the relationship between the basic data and the demand quantity;

[0110] A second curve determination module, configured to determine a supply-demand quantity according to historical pipeline data and generate a second curve; the supply-demand quantity is the heating supply-demand or the cooling supply-demand; the pipeline data includes the instantaneous flow rate of the circulating pump group at the water outlet, the supply water temperature, and the return water temperature; the second curve is used to characterize the relationship between the pipeline data and the supply-demand quantity;

[0111] A data prediction module, configured to predict the supply water set temperature and the supply water flow rate according to the current weather forecast data, the current pipeline data, and the basic data of the current space, in combination with the first curve and the second curve;

[0112] A data optimization module, configured to use the circulating pump group flow rate adjustment strategy to optimize the predicted supply water set temperature and the supply water flow rate in real time; the circulating pump group flow rate adjustment strategy is to determine the deviation value corresponding to the supply water set temperature according to the ambient temperature in different temperature ranges, and use the deviation value to optimize the supply water temperature; and optimize the supply water flow rate according to the interval where the difference between the optimized supply water set temperature and the return water temperature is located;

[0113] A control module for controlling the air-conditioning unit by using the optimized water supply set temperature and water supply flow rate.

[0114] In an exemplary embodiment, a computer device is provided, which can be a server or a terminal. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O), and a communication interface. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used for exchanging information between the processor and external devices. The communication interface of the computer device is used for communicating with external terminals through a network connection. When the computer program is executed by the processor, it implements a central air-conditioning energy-saving mode control method.

[0115] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, which when executed by a processor implements the steps in the above method embodiments.

[0116] In an exemplary embodiment, a computer program product is provided, including a computer program, which when executed by a processor implements the steps in the above method embodiments.

[0117] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with relevant regulations.

[0118] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memories. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0119] The databases involved in the embodiments provided in the present application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in the present application can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logic devices, data processing logics based on quantum computing, etc., without limitation.

[0120] In the present application, all actions of obtaining signals, information, or data are carried out on the premise of complying with the corresponding data protection regulations and policies of the country where it is located and obtaining authorization from the owner of the corresponding device.

[0121] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0122] In this text, specific examples are used to illustrate the principle and implementation manner of the present application. The description of the above embodiments is only used to help understand the method and its core idea of the present application; at the same time, for those of ordinary skill in the art, according to the idea of the present application, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to the present application.

Claims

1. A central air conditioning energy-saving mode control method, characterized in that: The central air-conditioning energy-saving mode control method comprises: Determine the demand according to the historical basic data of the current space and generate a first curve; the basic data includes: the area of ​​each room, the number of air conditioners used, the ambient temperature, the floor height of each air-conditioned room, and the number of people; the demand is the heating demand or the cooling demand; the first curve is used to characterize the relationship between the basic data and the demand; Determine the supply and demand according to the historical pipeline data, and generate a second curve; the supply and demand is heating supply and demand or cooling supply and demand; the pipeline data includes the instantaneous water flow rate of the circulating pump group, the water supply temperature and the return water temperature; the second curve is used to characterize the relationship between the pipeline data and the supply and demand; According to the current weather forecast data, the current pipeline data and the basic data of the current space, the water supply set temperature and the water supply flow rate are predicted in combination with the first curve and the second curve; The predicted water supply set temperature and water supply flow rate are optimized in real time by using the flow regulation strategy of the circulating pump group; the flow regulation strategy of the circulating pump group is to determine the deviation value corresponding to the water supply set temperature according to the ambient temperature in different temperature intervals, and optimize the water supply temperature by using the deviation value; and optimize the water supply flow rate according to the interval where the difference between the optimized water supply set temperature and the return water temperature is located; The air conditioning unit is controlled using the optimized water supply set temperature and water supply flow.

2. The central air conditioning energy-saving mode control method according to claim 1, characterized in that: The step of determining the demand according to the historical basic data of the current space and generating the first curve specifically includes: Determine the demand W using the formula W = S × Z; Where S is the area of ​​the room and Z is the heating / cooling capacity required per unit area.

3. The central air conditioning energy-saving mode control method according to claim 1, characterized in that: The step of determining the supply and demand according to the historical pipeline data and generating the second curve specifically includes: Use the formula N = m˙ × cp × ΔT to determine the supply and demand quantity N; Where m˙ is the mass flow rate of circulating water, cp is the specific heat capacity of circulating water, and ΔT is the difference between the supply water temperature and the return water temperature.

4. The central air conditioning energy-saving mode control method according to claim 1, characterized in that: The method of predicting the water supply set temperature and water supply flow rate according to the current weather forecast data, the current pipeline data and the basic data of the current space in combination with the first curve and the second curve also includes: Use the HVAC platform to obtain current weather forecast data; The current water supply temperature is obtained by using a water supply temperature sensor installed in the water inlet pipe of the air conditioning unit; The current return water temperature is obtained by using the return water temperature sensor installed in the return water pipe of the air conditioning unit; Use the flow meter installed at the outlet of the circulating water pump to obtain the current instantaneous water outlet flow of the circulating water pump group; The current ambient temperature is obtained using an ambient temperature sensor installed outdoors.

5. The central air-conditioning energy-saving mode control method according to claim 1, characterized in that: The method of using the circulating pump group flow rate regulation strategy to optimize the predicted water supply set temperature and water supply flow rate in real time also includes: Determine the flow regulation strategy for the circulation pump group.

6. The central air-conditioning energy-saving mode control method according to claim 5, characterized in that: Determining the flow rate regulation strategy of the circulation pump group specifically includes: Determine multiple temperature intervals; Determine the corresponding deviation value of the water supply set temperature according to different temperature ranges; Divide the difference between the supply water set temperature and the return water temperature into multiple intervals; The pressure of the circulating water pump is determined by using a pressure sensor installed at the outlet of the circulating water pump; The water supply flow rate corresponding to each interval is determined according to the pressure of the circulating water pump.

7. A central air conditioning energy-saving mode control device, characterized in that: The central air-conditioning energy-saving mode control device comprises: A first curve determination module is used to determine the demand according to the historical basic data of the current space and generate a first curve; the basic data includes: the area of ​​each room, the number of air conditioners used, the ambient temperature, the floor height of each air-conditioned room, and the number of people; the demand is the heating demand or the cooling demand; the first curve is used to characterize the relationship between the basic data and the demand; A second curve determination module is used to determine the supply and demand according to the historical pipeline data and generate a second curve; the supply and demand is the heating supply and demand or the cooling supply and demand; the pipeline data includes the instantaneous water flow rate of the circulating pump group, the water supply temperature and the return water temperature; the second curve is used to characterize the relationship between the pipeline data and the supply and demand; A data prediction module, used to predict the water supply set temperature and water supply flow rate according to the current weather forecast data, the current pipeline data and the basic data of the current space in combination with the first curve and the second curve; A data optimization module is used to optimize the predicted water supply set temperature and water supply flow rate in real time by using a circulation pump group flow regulation strategy; the circulation pump group flow regulation strategy is to determine a deviation value corresponding to the water supply set temperature according to the ambient temperature in different temperature intervals, and optimize the water supply temperature by using the deviation value; and optimize the water supply flow rate according to the interval where the difference between the optimized water supply set temperature and the return water temperature is located; The control module is used to control the air conditioning unit by using the optimized water supply set temperature and water supply flow rate.

8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the central air-conditioning energy-saving mode control method described in any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the central air-conditioning energy-saving mode control method described in any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the central air-conditioning energy-saving mode control method described in any one of claims 1 to 6 is implemented.

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