An intelligent load control method for large users in an energy IoT management platform

Abstract

The present invention discloses an intelligent load control method for large users of an energy Internet of Things management platform, which relates to the technical field of energy Internet of Things. The method includes: determining the required cooling capacity and cooling space distribution of the first space, as well as the required cooling capacity and cooling space distribution of the second space, based on the temperature requirements and ambient temperature of the first and second spaces; and determining the start and stop of the first and second cold machines, the first and second cold machines, the first and second split cabinet air conditioners, based on the required cooling capacity and cooling space distribution of the first and second spaces, the rated cooling capacity of the first and second cold machines, and the rated cooling capacity of the first and second split cabinet air conditioners. By controlling the energy consumption load, the present invention meets the requirements of different areas and different cooling capacities of large buildings, thereby reducing energy consumption.

Description

Technical Field

[0001] The embodiments of the present invention relate to the technical field of energy Internet of Things, and in particular to an intelligent load control method for large users on an energy Internet of Things management platform. Background Art

[0002] With the rapid development of information technology and energy technology, the energy Internet has emerged. It uses advanced power electronics technology, information technology and intelligent management technology to interconnect a large number of new power networks, oil networks, natural gas networks and other energy nodes composed of distributed energy collection devices, distributed energy storage devices and various types of loads, so as to realize a two-way energy flow, peer-to-peer exchange and sharing network.

[0003] Controlling the energy load of large users to achieve both demand-satisfying and energy-saving goals is a current research hotspot. For example, in shopping malls, staff currently set the temperature and the central air conditioning system begins operating at full capacity, failing to consider the varying cooling capacity requirements of different areas, resulting in energy waste.

[0004] In view of this, the present invention is proposed. Summary of the Invention

[0005] The present invention provides an intelligent load control method for large users on an energy IoT management platform, which can control energy-consuming loads to meet the needs of different areas and different cooling capacities of large buildings and reduce energy consumption.

[0006] The present invention provides an intelligent load control method for large users on an energy IoT management platform, comprising:

[0007] The energy IoT management platform includes a control center, a central air-conditioning system, a network platform, a first split cabinet air conditioner, a second split cabinet air conditioner, and a data collection terminal that are communicatively connected to the control center; the first split cabinet air conditioner and the first refrigeration unit of the central air-conditioning system are used to cool the first space, and the second split cabinet air conditioner and the second refrigeration unit of the central air-conditioning system are used to cool the second space;

[0008] The acquisition terminal is used to collect parameters of the central air-conditioning system, the first split cabinet air conditioner, and the second split cabinet air conditioner; the network platform provides the temperature requirements and ambient temperature of the first space and the second space;

[0009] The method is executed by the control center, and includes:

[0010] determining, based on the temperature requirements and ambient temperature of the first and second spaces, a required cooling capacity and a cooling space distribution for the first space, and a required cooling capacity and a cooling space distribution for the second space;

[0011] Determine the start and stop of the first cold machine, the second cold machine, the first split cabinet air conditioner and the second split cabinet air conditioner based on the cooling capacity and cooling space distribution required by the first space, the cooling capacity and cooling space distribution required by the second space, the rated cooling capacity of the first cold machine, the rated cooling capacity of the second cold machine, the rated cooling capacity of the first split cabinet air conditioner and the rated cooling capacity of the second split cabinet air conditioner.

[0012] Optionally, determining whether to start or stop the first cold machine, the second cold machine, the first split cabinet air conditioner, and the second split cabinet air conditioner based on the cooling capacity and cooling space distribution required by the first space, the cooling capacity and cooling space distribution required by the second space, the rated cooling capacity of the first cold machine, the rated cooling capacity of the second cold machine, the rated cooling capacity of the first split cabinet air conditioner, and the rated cooling capacity of the second split cabinet air conditioner includes:

[0013] If the refrigeration space of the first space is distributed locally, the first refrigeration machine is stopped and the first split cabinet air conditioner in the local area is started according to the cooling capacity required by the first space;

[0014] If the cooling space of the second space is distributed locally, the second cold machine is stopped and the second split cabinet air conditioner in the local area is started according to the cooling capacity required by the second space.

[0015] Optionally, determining whether to start or stop the first cold machine, the second cold machine, the first split cabinet air conditioner, and the second split cabinet air conditioner based on the cooling capacity and cooling space distribution required by the first space, the cooling capacity and cooling space distribution required by the second space, the rated cooling capacity of the first cold machine, the rated cooling capacity of the second cold machine, the rated cooling capacity of the first split cabinet air conditioner, and the rated cooling capacity of the second split cabinet air conditioner includes:

[0016] If the refrigeration space of the first space is distributed throughout, starting the first chiller according to the refrigeration capacity required by the first space;

[0017] If the refrigeration space of the second space is distributed throughout, the second refrigerator is started according to the refrigeration capacity required by the second space.

[0018] Optionally, the energy IoT management platform further includes a heat exchanger, the heat exchanger being connected to the first refrigerator and the second refrigerator, and being in communication with the first space and the second space;

[0019] After the first and second cold machines are started, the method further includes:

[0020] If the refrigeration space of the first space is distributed throughout and the refrigeration capacity required by the first space is less than a refrigeration capacity threshold, stopping the first refrigeration machine and starting the heat exchanger;

[0021] The cooling capacity required by the first space is smaller than the cooling capacity required by the second space.

[0022] Optionally, after the heat exchanger is started, the method further includes:

[0023] If the refrigeration space of the first space is distributed throughout and the refrigeration capacity required by the first space is greater than or equal to the refrigeration capacity threshold, the heat exchanger is stopped and the first refrigerator is started.

[0024] Optionally, if the refrigeration space of the first space is distributed throughout, starting the first refrigerator according to the refrigeration capacity required by the first space includes:

[0025] If the refrigerated space of the first space is distributed throughout the entire space, a first chiller with a matching cooling capacity is selected from the central air-conditioning system according to the cooling capacity required by the first space and started; the operating parameters of the first chiller, as well as the water pump and terminal system associated with the first chiller are determined by minimizing the total energy consumption of the central air-conditioning system as an objective function;

[0026] If the refrigeration space of the second space is distributed throughout, starting the second refrigeration machine according to the refrigeration capacity required by the second space includes:

[0027] If the refrigeration space of the second space is distributed as a whole, a second refrigeration machine with a matching cooling capacity is selected from the central air-conditioning system according to the cooling capacity of the second space and started; the total energy consumption of the central air-conditioning system is used as the objective function, and the objective function is minimized to determine the operating parameters of the second refrigeration machine, as well as the water pump and terminal system associated with the second refrigeration machine.

[0028] Optionally, determining the required cooling capacity and cooling space distribution of the first space, and the required cooling capacity and cooling space distribution of the second space according to the temperature requirements and ambient temperature of the first space and the second space includes:

[0029] Determining a required cooling temperature difference for the first space based on the temperature requirement of the first space and the ambient temperature;

[0030] Determining the required cooling temperature difference for the second space based on the temperature requirement of the second space and the ambient temperature;

[0031] Determining the required cooling capacity and cooling space distribution of the first space based on the cooling area of ​​the first space and the required temperature difference;

[0032] The required cooling capacity and cooling space distribution of the second space are determined according to the cooling area of ​​the second space and the cooling temperature difference.

[0033] Optionally, the network platform is connected to a mobile terminal;

[0034] The user inputs the cooling area and temperature requirements of the first space and the second space through the mobile terminal.

[0035] Optionally, the network platform is integrated with a weather service module;

[0036] The weather service module provides the ambient temperature of the first space and the second space.

[0037] Optionally, the first space and the second space are different spaces of a large building;

[0038] The large buildings include schools and shopping malls.

[0039] The energy IoT management platform provided by the present invention is used to manage the refrigeration systems of large users. The buildings corresponding to the large users include at least a first space and a second space. A control center receives corresponding data from the network platform and the data collection terminal, and controls the start and stop of the central air conditioning system, the first split cabinet air conditioner, and the second split cabinet air conditioner according to preset logic, thereby achieving load control of the platform. Specifically, cooling of different areas is achieved by controlling the first split cabinet air conditioner and the second split cabinet air conditioner. The cooling capacity of the first and second spaces is used to control the first and second chillers with matching cooling capacities, respectively, achieving energy saving. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0041] Figure 1 This is a structural diagram of an energy IoT management platform provided by an embodiment of the present invention;

[0042] Figure 2 This is a flow chart of the intelligent load control method for large users of the energy Internet of Things management platform provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0043] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention are described clearly and completely below. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. All other embodiments derived by persons of ordinary skill in the art based on the embodiments of the present invention without inventive effort are also within the scope of protection of the present invention.

[0044] In the description of the present invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings and are intended solely to facilitate and simplify the description of the present invention. They are not intended to indicate or imply that the devices or components referred to must have, be constructed, or operate in a specific orientation, and therefore should not be construed as limitations on the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0045] In the description of the present invention, it should also be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood broadly. For example, they may refer to fixed, detachable, or integral connections; mechanical or electrical connections; direct or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on the specific circumstances.

[0046] The embodiment of the present invention provides an energy IoT management platform, see Figure 1 , including the following structure:

[0047] The central air-conditioning system includes at least a first chiller (water chiller) and a second chiller, and also includes cooling towers, water pumps and terminal systems corresponding to different chillers.

[0048] The principles of central air conditioning systems include the working principles of the air system, the water system, and the coil system. The chiller's operating principle is as follows: an outdoor unit cools refrigerant water, which is then pumped to a fan coil unit installed indoors. The fan coil unit then uses local return air to exchange heat with the indoor air to achieve indoor air conditioning. The central air conditioning system regulates the temperature of each room. When a room reaches the set temperature, a signal is transmitted to the control center, which in turn signals the compressor to reduce its speed and energy consumption.

[0049] Optionally, the first chiller and the second chiller have different rated cooling capacities, and the types of the two chillers may be the same or different, such as a screw water-cooled chiller and a centrifugal water-cooled chiller.

[0050] The first chiller is used to cool the entire first space, and the second chiller is used to cool the entire second space. The first space and the second space are different spaces in a large building and may or may not be adjacent. Large buildings include schools and shopping malls.

[0051] The network platform provides the temperature requirements and ambient temperature of the first space and the second space. Optionally, the network platform is connected to a mobile terminal; the user inputs the cooling area and temperature requirements of the first space and the second space through the mobile terminal, so that the mobile terminal transmits the cooling area and temperature requirements to the network platform through the network connection. For example, the cooling area of ​​the first space is 300 square meters, and the temperature requirement is 25 degrees; the cooling area of ​​the second space is 200 square meters, and the temperature requirement is 24 degrees. Optionally, the network platform is integrated with a weather service module to provide the ambient temperature of the location of the first space and the second space. Specifically, the location of the first space and the second space is the location of a large building. The weather service module provides the real-time ambient temperature of the location.

[0052] The first split cabinet air conditioner is located in the first space and is used to cool a part of the first space. The second split cabinet air conditioner is located in the second space and is used to cool a part of the second space.

[0053] The data collection terminal includes sensors located in the central air conditioning system, the first and second split-type cabinet air conditioners, and the user's mobile terminal. The sensors measure parameters such as the flow rate and temperature of the chillers, the status of the cooling pumps, and the power of the first and second split-type cabinet air conditioners. The user's mobile terminal inputs the type and rated cooling capacity of the first and second chillers, as well as the rated cooling capacity of the first and second split-type cabinet air conditioners.

[0054] The control center is communicatively connected to the central air conditioning system, the network platform, the first split cabinet air conditioner, the second split cabinet air conditioner, and the data collection terminal. The control center integrates a control algorithm. Based on this, the present invention also provides an intelligent load control method for large users on an energy IoT management platform, which is executed by the control center. Optionally, the control center can be a separate server or a server cluster. Based on the data collected by the network platform and the data collection terminal, the control center generates control instructions for starting and stopping the central air conditioning system, the first split cabinet air conditioner, and the second split cabinet air conditioner according to the control algorithm.

[0055] See also Figure 2 The intelligent load control method for large users provided by the present invention includes the following steps:

[0056] S110 : Determine the cooling capacity and cooling space distribution required for the first space, and the cooling capacity and cooling space distribution required for the second space according to the temperature requirements and ambient temperature of the first space and the second space.

[0057] Specifically, the required cooling temperature difference for the first space is determined based on the temperature requirement and the ambient temperature of the first space; the required cooling temperature difference for the second space is determined based on the temperature requirement and the ambient temperature of the second space. For example, if the temperature requirement is 25 degrees and the ambient temperature is 30 degrees, the cooling temperature difference is 5 degrees.

[0058] Then, based on the cooling area of ​​the first space and the required cooling temperature difference, the cooling capacity and cooling space distribution required for the first space are determined. The cooling area of ​​the first space is not constant. For example, the cooling area is overall during the day and local at night, and there is no need for overall cooling. In actual application scenarios, in school computer rooms, there is traffic during the day and the entire space needs to be cooled. At night, there is no traffic and the equipment is turned off. Only the local space where the server unit is located needs to be cooled. Therefore, the first split cabinet air conditioner is located in the area where local cooling is required in the first space, and correspondingly, the second split cabinet air conditioner is located in the area where local cooling is required in the second space.

[0059] The cooling capacity required for the first space is also known as the cooling load of the first space. This refers to the amount of heat that must be removed from the space by the air conditioner to maintain the desired thermal and humid environment and indoor temperature, or the amount of cooling that must be supplied to the space at a given moment. The cooling capacity required for the first space is related to the cooling area of ​​the first space and the required temperature difference. In one example, an experimental relationship was established between the required cooling capacity, the cooling area, and the temperature difference. This relationship allows the required cooling capacity to be directly determined by looking up this relationship, saving calculation time.

[0060] The required cooling capacity and cooling space distribution of the second space are determined based on the cooling area of ​​the second space and the required temperature difference. The specific determination method is the same as that for the first space and will not be repeated here.

[0061] S120. Determine the start and stop of the first cold machine, the second cold machine, the first split cabinet air conditioner and the second split cabinet air conditioner based on the cooling capacity and cooling space distribution required by the first space, the cooling capacity and cooling space distribution required by the second space, the rated cooling capacity of the first cold machine, the rated cooling capacity of the second cold machine, the rated cooling capacity of the first split cabinet air conditioner and the rated cooling capacity of the second split cabinet air conditioner.

[0062] Specifically, there are four implementation methods:

[0063] 1. If the cooling space of the first space is distributed locally, stop the first refrigeration machine and start the first split cabinet air conditioner in the local area according to the cooling capacity required by the first space.

[0064] Since the first cold machine is used to cool the entire first space, when only local cooling is required, the first cold machine needs to be stopped and the first split cabinet air conditioner in the local area needs to be started. It should be noted that only the first split cabinet air conditioner can be started if the rated cooling capacity of the first split cabinet air conditioner is greater than or equal to the cooling capacity required by the first space. If the rated cooling capacity of the first split cabinet air conditioner is less than the cooling capacity required by the first space, it means that starting only the first split cabinet air conditioner cannot meet the cooling demand of the first space, then the first split cabinet air conditioner is started at full load, and the first cold machine is started at the same time to meet the cooling demand of the first space.

[0065] 2. If the cooling space of the second space is distributed locally, stop the second refrigeration machine and start the second split cabinet air conditioner in the local area according to the cooling capacity required by the second space.

[0066] Since the second cold machine is used to cool the entire second space, when only local cooling is required, the second cold machine needs to be stopped and the second split cabinet air conditioner in the local area needs to be started. It should be noted that only the second split cabinet air conditioner can be started if the rated cooling capacity of the second split cabinet air conditioner is greater than or equal to the cooling capacity required by the second space. If the rated cooling capacity of the second split cabinet air conditioner is less than the cooling capacity required by the second space, it means that only starting the second split cabinet air conditioner cannot meet the cooling demand of the second space, then the second split cabinet air conditioner is started at full load, and the second cold machine is started at the same time to meet the cooling demand of the first space so that the space temperature meets the temperature requirement.

[0067] 3. If the refrigeration space of the first space is distributed throughout, start the first refrigerator according to the refrigeration capacity required by the first space.

[0068] If the refrigeration space of the first space is distributed as a whole, a first refrigeration machine with a matching cooling capacity is selected from the central air-conditioning system according to the cooling capacity required by the first space and started; the total energy consumption of the central air-conditioning system is used as the objective function, and the objective function is minimized to determine the operating parameters of the first refrigeration machine, as well as the water pump and terminal system associated with the first refrigeration machine.

[0069] Cooling capacity matching means that the rated cooling capacity of a chiller should be equal to or greater than the required cooling capacity of the space to meet the required temperature. If a central air conditioning system includes multiple chillers with different rated cooling capacities, the chiller with the lowest rated cooling capacity, which is equal to or greater than the required cooling capacity of the first space, should be selected to fully utilize the chiller's power and minimize energy consumption.

[0070] The control center controls the operating parameters of the first chiller, its associated water pump, and the terminal system, such as energy control, enthalpy control, fresh air control, and operating parameter control of the cooling source. Based on the temperature demand and ambient temperature, maintaining a comfortable environment in the first space is constrained, and total energy consumption is used as the objective function. By minimizing the objective function, the required cooling capacity, the operating time of the air conditioner, fan, and water pump, and the operating mode of each link are determined. It should be noted that the method for determining operating parameters can be referenced in existing control methods for central air conditioning systems. The present invention primarily integrates the control methods of central air conditioning systems into the control center, which provides unified control.

[0071] Exemplarily, the control method includes: constructing a corresponding first chiller energy consumption model, a water pump energy consumption model, and a terminal system energy consumption model based on the operating parameters and respective operating mechanisms of the first chiller, the water pump, and the terminal system. Each energy consumption model represents a conversion relationship between the respective operating parameters and power.

[0072] For example, the energy consumption model of the first chiller is:

[0073] P1=a0+a1(T cws -T chws )+a2(T cws +T chws ) 2 +a3*Qch+a4Qch 2 +a5Qch(T cws +T chws )

[0074] Among them, P1 is the energy consumption per unit time of the first cooling machine, T cws T is the cooling water outlet temperature. chws is the chilled water supply temperature, Qch is the load of the chiller, and a0, a1, a2, a3, a4, and a5 are model parameters that can be obtained through experiments.

[0075] The energy consumption model of the water pump is:

[0076] P2=λρgQH*10 -3

[0077] Among them, P2 is the energy consumption of the pump per unit time, λ is the operating efficiency of the pump, ρ is the liquid density, g is the acceleration of gravity, H is the pump head, and Q is the volume flow rate of the pump output liquid.

[0078] The energy consumption of the fan accounts for a large proportion of the total energy consumption of the terminal system. The energy consumption model of the fan is now used as the energy consumption model of the terminal system. The energy consumption model of the terminal system is:

[0079] P3=W / (3600*η CD *η F )(4.3.22)

[0080] Where P3 is the energy consumption per unit air volume of the fan, W is the residual pressure of the air conditioning unit or the wind pressure of the ventilation system fan, η CD is the motor and transmission efficiency, η F is the fan efficiency.

[0081] Total energy consumption = P1 + P2 + P3. The parameters in the above energy consumption formula are controlled to minimize the total energy consumption. This embodiment does not limit the specific control method, which can be a fuzzy PID algorithm or a neural network control algorithm.

[0082] 4. If the refrigeration space of the second space is distributed throughout, start the second refrigerator according to the cooling capacity required by the second space.

[0083] If the refrigeration space of the second space is distributed as a whole, a second refrigeration machine with matching cooling capacity is selected from the central air-conditioning system according to the cooling capacity required by the second space and started; the total energy consumption of the central air-conditioning system is used as the objective function, and the objective function is minimized to determine the operating parameters of the second refrigeration machine, as well as the water pump and terminal system associated with the second refrigeration machine.

[0084] Cooling capacity matching means that the rated cooling capacity of a chiller should be equal to or greater than the required cooling capacity of the space to meet the required temperature. If a central air conditioning system includes multiple chillers with different rated cooling capacities, the chiller with the smallest rated cooling capacity, which is equal to or greater than the required cooling capacity of the second space, should be selected to fully utilize the chiller's power and minimize energy consumption.

[0085] The control center controls the operating parameters of the second chiller, its associated water pump, and the terminal system, such as energy control, enthalpy control, fresh air control, and operating parameter control of the cooling source. Based on the temperature demand and ambient temperature, maintaining a comfortable environment in the first space is constrained, and the total energy consumption is used as the objective function. By minimizing the objective function, the required cooling capacity, the operating time of the air conditioner, fan, and water pump, and the operating mode of each link are determined. It should be noted that the method for determining operating parameters can be referenced in the control methods of existing central air conditioning systems. The present invention primarily integrates the control methods of central air conditioning systems into the control center, which provides unified control.

[0086] Please refer to the formulas of the first chiller energy consumption model, water pump energy consumption model and terminal system energy consumption model and the calculation method of total energy consumption, which will not be repeated here.

[0087] The energy IoT management platform provided by the present invention is used to manage the refrigeration systems of large users. The buildings corresponding to the large users include at least a first space and a second space. A control center receives corresponding data from the network platform and the data collection terminal, and controls the start and stop of the central air conditioning system, the first split cabinet air conditioner, and the second split cabinet air conditioner according to preset logic, thereby achieving load control of the platform. Specifically, cooling of different areas is achieved by controlling the first split cabinet air conditioner and the second split cabinet air conditioner. The cooling capacity of the first and second spaces is used to control the first and second chillers with matching cooling capacities, respectively, achieving energy saving.

[0088] In a preferred embodiment, the energy IoT management platform further includes a heat exchanger, which is connected to the first refrigerator and the second refrigerator, and communicates with the first space and the second space.

[0089] After the control center starts the first and second chillers, the method further includes: if the cooling space of the first space is distributed throughout and the cooling capacity required by the first space is less than a cooling capacity threshold, stopping the first chiller and starting the heat exchanger, wherein the cooling capacity required by the first space is less than the cooling capacity required by the second space.

[0090] When the temperature demand of the first space increases or the ambient temperature decreases, the required cooling capacity will be less than the cooling capacity threshold. If the first refrigerator continues to operate, it will cause the first refrigerator to run at low load for a long time, resulting in serious energy waste, low COP (heating efficiency ratio), and easy surge, affecting the normal operation of the system. Therefore, this embodiment obtains cooling capacity from the second space through a heat exchanger and discharges heat to the second space. Obviously, this will lead to an increase in the cooling capacity required for the second space, which is solved by increasing the cooling capacity of the second refrigerator. Optionally, the cooling capacity threshold is the cooling capacity required for the first space when the second refrigerator is running at full load, thereby giving priority to ensuring that the second space meets the temperature demand. It should be noted that the control center ensures that the first space meets the temperature demand by controlling the power of the heat exchanger.

[0091] Optionally, after the heat exchanger is started, the method further includes: if the refrigeration space of the first space is distributed as a whole and the refrigeration capacity required by the first space is greater than or equal to a first refrigeration capacity threshold, stopping the heat exchanger and starting the first refrigerator.

[0092] Among them, when the temperature demand of the first space decreases or the ambient temperature increases, the required cooling capacity will be greater than or equal to the cooling capacity threshold, the heat exchanger will be stopped and the first cold machine will be started according to the required cooling capacity; correspondingly, if the cooling space of the second space is distributed as a whole and the cooling capacity required by the second space is greater than or equal to the second threshold, the heat exchanger will be stopped and the second cold machine will be started according to the required cooling capacity.

[0093] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent load control method for large users on an energy IoT management platform, characterized in that: The energy IoT management platform includes a control center, a central air-conditioning system, a network platform, a first split cabinet air conditioner, a second split cabinet air conditioner, and a collection terminal that are communicatively connected to the control center; the first split cabinet air conditioner and the first refrigeration machine of the central air-conditioning system are used to cool the first space, and the second split cabinet air conditioner and the second refrigeration machine of the central air-conditioning system are used to cool the second space; the energy IoT management platform also includes a heat exchanger that connects the first refrigeration machine and the second refrigeration machine and connects the first space and the second space; The acquisition terminal is used to collect parameters of the central air-conditioning system, the first split cabinet air conditioner and the second split cabinet air conditioner; The network platform provides temperature requirements and ambient temperature of the first space and the second space; The method is executed by the control center, and includes: Determining the cooling capacity and cooling space distribution required for the first space, and the cooling capacity and cooling space distribution required for the second space, based on the temperature requirements and ambient temperature of the first space and the second space, including: determining the cooling temperature difference required for the first space based on the temperature requirement and ambient temperature of the first space; determining the cooling temperature difference required for the second space based on the temperature requirement and ambient temperature of the second space; determining the cooling capacity and cooling space distribution required for the first space based on the cooling area of ​​the first space and the required cooling temperature difference; determining the cooling capacity and cooling space distribution required for the second space based on the cooling area of ​​the second space and the required cooling temperature difference; the cooling areas of the first space and the second space are not constant, the first split cabinet air conditioner is located in an area of ​​the first space requiring local cooling, and the second split cabinet air conditioner is located in an area of ​​the second space requiring local cooling; Determining the start and stop of the first cold machine, the second cold machine, the first split cabinet air conditioner, and the second split cabinet air conditioner based on the cooling capacity and cooling space distribution required by the first space, the cooling capacity and cooling space distribution required by the second space, the rated cooling capacity of the first cold machine, the rated cooling capacity of the second cold machine, the rated cooling capacity of the first split cabinet air conditioner, and the rated cooling capacity of the second split cabinet air conditioner; After the first and second cold machines are started, if the cooling space of the first space is distributed as a whole and the cooling capacity required by the first space is less than a cooling capacity threshold, the first cold machine is stopped and the heat exchanger is started; the cooling capacity threshold is the cooling capacity required by the first space when the second cold machine is running at full load; wherein the cooling capacity required by the first space is less than the cooling capacity required by the second space.

2. The method according to claim 1, characterized in that Determining whether to start or stop the first chiller, the second chiller, the first split cabinet air conditioner, and the second split cabinet air conditioner based on the cooling capacity and cooling space distribution required by the first space, the cooling capacity and cooling space distribution required by the second space, the rated cooling capacity of the first chiller, the rated cooling capacity of the second chiller, the rated cooling capacity of the first split cabinet air conditioner, and the rated cooling capacity of the second split cabinet air conditioner includes: If the refrigeration space of the first space is distributed locally, the first refrigeration machine is stopped and the first split cabinet air conditioner in the local area is started according to the cooling capacity required by the first space; If the cooling space of the second space is distributed locally, the second cooling machine is stopped and the second split cabinet air conditioner in the local area is started according to the cooling capacity required by the second space.

3. The method according to claim 1, characterized in that Determining whether to start or stop the first chiller, the second chiller, the first split cabinet air conditioner, and the second split cabinet air conditioner based on the cooling capacity and cooling space distribution required by the first space, the cooling capacity and cooling space distribution required by the second space, the rated cooling capacity of the first chiller, the rated cooling capacity of the second chiller, the rated cooling capacity of the first split cabinet air conditioner, and the rated cooling capacity of the second split cabinet air conditioner includes: If the refrigeration space of the first space is distributed throughout, starting the first chiller according to the refrigeration capacity required by the first space; If the refrigeration space of the second space is distributed throughout, the second refrigerator is started according to the refrigeration capacity required by the second space.

4. The method according to claim 1, wherein After the heat exchanger is started, the method further comprises: If the refrigeration space of the first space is distributed throughout and the refrigeration capacity required by the first space is greater than or equal to the refrigeration capacity threshold, the heat exchanger is stopped and the first refrigerator is started.

5. The method according to claim 3, characterized in that If the refrigeration space of the first space is distributed throughout, starting the first refrigeration machine according to the refrigeration capacity required by the first space includes: If the refrigerated space of the first space is distributed throughout the entire space, a first chiller with a matching cooling capacity is selected from the central air-conditioning system according to the cooling capacity required by the first space and started; the operating parameters of the first chiller, as well as the water pump and terminal system associated with the first chiller are determined by minimizing the total energy consumption of the central air-conditioning system as an objective function; If the refrigeration space of the second space is distributed throughout, starting the second refrigeration machine according to the refrigeration capacity required by the second space includes: If the refrigeration space of the second space is distributed as a whole, a second chiller with matching cooling capacity is selected from the central air-conditioning system according to the cooling capacity required by the second space and started; the total energy consumption of the central air-conditioning system is used as the objective function, and the objective function is minimized to determine the operating parameters of the second chiller, as well as the water pump and terminal system associated with the second chiller.

6. The method according to claim 1, wherein The network platform is connected to the mobile terminal; The user inputs the cooling area and temperature requirements of the first space and the second space through the mobile terminal.

7. The method according to claim 1, characterized in that The network platform is integrated with a weather service module; The weather service module provides the ambient temperature of the first space and the second space.

8. The method according to any one of claims 1 to 7, characterized in that The first space and the second space are different spaces of a large building; The large buildings include schools and shopping malls.

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