Load control method, device, electronic device, and storage medium

Abstract

The application relates to a load control method and device, electronic equipment and a storage medium, wherein the air conditioning system comprises a refrigerant circulation loop and a first liquid accumulator, the first liquid accumulator is arranged in parallel with a second liquid accumulator in the refrigerant circulation loop, a first electromagnetic valve is arranged on an inlet pipeline of the first liquid accumulator, and a second electromagnetic valve is arranged on an outlet pipeline of the first liquid accumulator; in the case that the first electromagnetic valve is opened and the second electromagnetic valve is closed, the refrigerant in the refrigerant circulation loop flows into the first liquid accumulator; and in the case that the first electromagnetic valve is closed and the second electromagnetic valve is opened, the refrigerant in the first liquid accumulator flows into the refrigerant circulation loop. According to the embodiment of the application, the amount of refrigerant in the refrigerant circulation loop can be adjusted by adjusting the opening and closing states of the first electromagnetic valve and the second electromagnetic valve, the output load of the air conditioning system can be adjusted without changing the frequency of a compressor and the rotating speed of a fan in the air conditioning system, and the effect of energy saving and consumption reduction is achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of air conditioners, and in particular to a load control method and device, an electronic device, and a storage medium. BACKGROUND

[0002] In an air conditioning system of a large agricultural warehouse, because the amount of grain in each area is different, the heat generated by the respiration of the grain is also different, so the air conditioning load required by each area will be unbalanced.

[0003] The unbalanced air conditioning load required by each area will cause the air conditioning system to always run in one mode, directly prolonging the opening time of the air conditioning system until the temperature requirement is met, and the energy consumption of the air conditioning system is high. SUMMARY

[0004] To solve the above technical problems or at least partially solve the above technical problems, the present application provides a load control method and device, an electronic device, and a storage medium.

[0005] In a first aspect, the present application provides an air conditioning system, comprising: a refrigerant circulation loop and a first liquid accumulator, the first liquid accumulator is arranged in parallel with a second liquid accumulator in the refrigerant circulation loop, a first electromagnetic valve is arranged on an inlet pipeline of the first liquid accumulator, and a second electromagnetic valve is arranged on an outlet pipeline of the first liquid accumulator.

[0006] In the case that the first electromagnetic valve is opened and the second electromagnetic valve is closed, the refrigerant in the refrigerant circulation loop flows into the first liquid accumulator, and in the case that the first electromagnetic valve is closed and the second electromagnetic valve is opened, the refrigerant in the first liquid accumulator flows into the refrigerant circulation loop.

[0007] In a second aspect, the present application provides a load control method, comprising:

[0008] Obtaining area environmental data of a temperature control area where the air conditioning system is located;

[0009] Inputting the area environmental data into a preset load demand prediction model, so that the load demand prediction model outputs predicted load demand data corresponding to the area environmental data;

[0010] Adjusting the amount of refrigerant in the refrigerant circulation loop of the air conditioning system according to the predicted load demand data, so as to adjust the area environmental data of the temperature control area to target environmental data.

[0011] Optionally, the training method of the load demand prediction model comprises:

[0012] Obtaining training environmental data of the temperature control area and corresponding training load demand data thereof;

[0013] inputting the training environment data into the load demand prediction model, so that the load demand prediction model outputs predicted training load demand data;

[0014] adjusting model parameters of the load demand prediction model according to deviation of the predicted training load demand data from the training load demand data until the load demand prediction model converges, to obtain a trained load demand prediction model.

[0015] Optionally, the training environment data of the temperature control area and the corresponding training load demand data are obtained, including:

[0016] obtaining the training environment data of the temperature control area;

[0017] determining a temperature change amount of the temperature control area per unit time according to the training environment data;

[0018] determining a unit refrigeration capacity of the air conditioner according to the temperature change amount and a preset refrigeration capacity calculation formula;

[0019] determining the training load demand data according to the unit refrigeration capacity and a preset refrigerant demand calculation formula.

[0020] Optionally, the temperature change amount of the temperature control area per unit time is determined according to the training environment data, including:

[0021] controlling the air conditioning system to operate according to a first load until the temperature control area reaches the training environment data;

[0022] controlling the air conditioner to operate according to a second load after the temperature control area reaches the training environment data, the second load being less than the first load;

[0023] obtaining a plurality of temperature values in a temperature change process in a preset time period;

[0024] determining the temperature change amount of the temperature control area per unit time according to the plurality of temperature values in the preset time period.

[0025] Optionally, the refrigerant amount in the refrigerant circulation loop of the air conditioning system is adjusted according to the predicted load demand data, including:

[0026] determining a refrigerant demand amount of the refrigerant circulation loop according to the predicted load demand data;

[0027] If the refrigerant demand is less than the initial refrigerant amount, the first electromagnetic valve is opened and the second electromagnetic valve is closed, so that the refrigerant in the refrigerant circulation loop flows into the first accumulator until the actual refrigerant amount in the first accumulator is equal to the difference between the initial refrigerant amount and the refrigerant demand, and the first electromagnetic valve is closed.

[0028] Optionally, the adjusting the refrigerant amount in the refrigerant circulation loop of the air conditioning system according to the predicted load demand data further comprises:

[0029] If the refrigerant demand is greater than the difference between the initial refrigerant amount and the refrigerant demand, the second electromagnetic valve is opened, so that the refrigerant in the first accumulator flows out to the refrigerant circulation loop.

[0030] In a third aspect, the present application provides a load control device, comprising:

[0031] An obtaining module is configured to obtain area environmental data of a temperature control area in which the air conditioning system is located;

[0032] An input module is configured to input the area environmental data into a preset load demand prediction model, so that the load demand prediction model outputs predicted load demand data corresponding to the area environmental data, and the load demand prediction model is trained by using area historical data of the temperature control area;

[0033] An adjusting module is configured to adjust a refrigerant amount in a refrigerant circulation loop of the air conditioning system according to the predicted load demand data, so as to adjust the area environmental data of the temperature control area to target environmental data.

[0034] Optionally, the training device of the load demand prediction model comprises:

[0035] An obtaining unit is configured to obtain training environmental data of the temperature control area and corresponding training load demand data;

[0036] An input unit is configured to input the training environmental data into the load demand prediction model, so that the load demand prediction model outputs predicted training load demand data;

[0037] An adjusting unit is configured to adjust model parameters of the load demand prediction model according to a deviation between the predicted training load demand data and the training load demand data, until the load demand prediction model converges, so as to obtain a trained load demand prediction model.

[0038] Optionally, the obtaining unit comprises:

[0039] An obtaining subunit is configured to obtain training environmental data of the temperature control area;

[0040] a first determining subunit, configured to determine a temperature change amount of the temperature control area per unit time according to the training environment data;

[0041] a second determining subunit, configured to determine a unit refrigeration amount of the air conditioner according to the temperature change amount and a preset refrigeration amount calculation formula;

[0042] a third determining subunit, configured to determine the training load demand data according to the unit refrigeration amount and a preset refrigerant demand amount calculation formula.

[0043] Optionally, the first determining subunit is further configured to:

[0044] control the air conditioning system to operate according to a first load until the temperature control area reaches the training environment data;

[0045] after the temperature control area reaches the training environment data, control the air conditioner to operate according to a second load, the second load being less than the first load;

[0046] obtain a plurality of temperature values in a process of temperature change in a preset time period;

[0047] determine the temperature change amount of the temperature control area per unit time according to the plurality of temperature values in the preset time period.

[0048] Optionally, the adjustment module comprises:

[0049] a determining unit, configured to determine a refrigerant demand amount of the refrigerant circulation loop according to the predicted load demand data;

[0050] a first electromagnetic valve control unit, configured to, if the refrigerant demand amount is less than an initial refrigerant amount, open the first electromagnetic valve and close the second electromagnetic valve, so that the refrigerant in the refrigerant circulation loop flows into the first liquid accumulator until an actual refrigerant amount in the first liquid accumulator is equal to a difference between the initial refrigerant amount and the refrigerant demand amount, and then close the first electromagnetic valve.

[0051] Optionally, the adjustment module further comprises:

[0052] a second electromagnetic valve control unit, configured to, if the refrigerant demand amount is greater than the difference between the initial refrigerant amount and the refrigerant demand amount, open the second electromagnetic valve, so that the refrigerant in the first liquid accumulator flows out to the refrigerant circulation loop.

[0053] In a fourth aspect, the present application provides an electronic device, comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete communication with each other through the communication bus;

[0054] a memory for storing a computer program;

[0055] a processor for executing the program stored on the memory to implement the load control method of any of the second aspect.

[0056] In a fifth aspect, the present application provides a computer readable storage medium, the computer readable storage medium stores a program of a load control method, the program of the load balancing method of the air conditioning system is executed by a processor to implement the steps of the load control method of any of the second aspect.

[0057] The above technical solution provided by the embodiments of the present application has the following advantages compared with the prior art:

[0058] The embodiments of the present application can adjust the amount of refrigerant in the refrigerant circulation loop by adjusting the opening and closing states of the first electromagnetic valve and the second electromagnetic valve, and then adjust the output load of the air conditioning system without changing the frequency of the compressor and the rotating speed of the fan in the air conditioning system, so as to adjust the regional environmental data of the temperature control area where the air conditioning system is located to the target environmental parameters, which is more stable and achieves the effect of energy saving and consumption reduction.

[0059] The embodiments of the present application can predict the predicted load demand data of the temperature control area according to the regional environmental data of the temperature control area by the load demand prediction model, and then adjust the amount of refrigerant in the refrigerant circulation loop of the air conditioning system according to the predicted load demand data, so as to adjust the regional environmental data of the temperature control area to the target environmental data. The present application can adjust the operating state of the air conditioning system in advance according to the predicted load demand data to meet the load demand of each temperature control area in advance and better meet the application scene demand. Moreover, the present application can adjust the output load of the air conditioning system without changing the frequency of the compressor and the rotating speed of the fan in the air conditioning system, so as to adjust the regional environmental data of the temperature control area where the air conditioning system is located to the target environmental parameters, which is more stable and achieves the effect of energy saving and consumption reduction. In the application of large grain warehouse scene, since the air conditioning system is arranged for different temperature control areas, it is convenient to balance the air conditioning load required by each temperature control area in the grain warehouse to ensure that each area in the grain warehouse meets the grain storage requirements, while reducing energy consumption and operating cost and improving the working efficiency of the air conditioning system. BRIEF DESCRIPTION OF DRAWINGS

[0060] The accompanying drawings, which are incorporated herein and form part of the specification, illustrate embodiments consistent with the present application and, together with the description, further serve to explain the principles of the application.

[0061] 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 by the embodiments or the prior art description. Obviously, for those skilled in the art, other drawings can also be obtained based on these drawings without creative labor.

[0062] Figure 1 A structural diagram of an air conditioning system provided by the embodiments of the present application;

[0063] Figure 2 A flowchart of a load control method provided by the embodiments of the present application;

[0064] Figure 3 A structural schematic diagram of a space in which an air conditioning system is arranged, provided by the embodiments of the present application;

[0065] Figure 4 A structural diagram of a load control device provided by the embodiments of the present application;

[0066] Figure 5 A structural diagram of an electronic device provided by the embodiments of the present application. DETAILED DESCRIPTION

[0067] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the following will combine the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0068] Because in the air conditioning system of a large agricultural warehouse, the heat generated by the respiration of grains in each region is different due to the different grain amounts in each region, the required air conditioning load of each region is unbalanced, and the unbalanced air conditioning load of each region causes the air conditioner to always run in one mode, directly prolonging the opening time of the air conditioning system until the temperature requirement is met, and the energy consumption of the air conditioning system is high. Therefore, the embodiments of the present application provide a load control method, device, electronic device and storage medium.

[0069] The embodiments of the present application provide an air conditioning system arranged in different regions of a target space. For example, the target space can refer to a large agricultural warehouse, and the target space can be divided into a plurality of temperature control regions. An independent air conditioning system and a sensor network for detecting environmental data in the region are arranged in each temperature control region. The air conditioning system can cool the temperature control region in which it is located. The sensor network includes one or more sensors, such as a temperature sensor and a humidity sensor.

[0070] As shown in Figure 1 The air conditioning system comprises a refrigerant circulation loop and a first liquid accumulator which is arranged in parallel with a second liquid accumulator in the refrigerant circulation loop, a first electromagnetic valve is arranged on an inlet pipeline of the first liquid accumulator, and a second electromagnetic valve is arranged on an outlet pipeline of the first liquid accumulator.

[0071] As shown in Figure 1 The refrigerant circulation loop comprises a second liquid accumulator, a compressor, a finned condenser, an evaporator, an exhaust temperature bulb, a high-pressure sensor, a low-pressure sensor, a suction temperature bulb, a capillary, a filter, a liquid injection electromagnetic valve, a drying filter, a first electronic expansion valve, a filter, an unloading electromagnetic valve, etc. The connection mode of each component can be in a mode required in actual application, and the present application is not limited.

[0072] In a case where the first electromagnetic valve is opened and the second electromagnetic valve is closed, the refrigerant in the refrigerant circulation loop flows into the first liquid accumulator, and in a case where the first electromagnetic valve is closed and the second electromagnetic valve is opened, the refrigerant in the first liquid accumulator flows into the refrigerant circulation loop.

[0073] The embodiment of the present application can adjust the amount of refrigerant in the refrigerant circulation loop by adjusting the opening and closing states of the first electromagnetic valve and the second electromagnetic valve, so as to realize the adjustment of the output load of the air conditioning system without changing the frequency of the compressor and the rotation speed of the fan in the air conditioning system, facilitate the adjustment of the regional environmental data of the temperature control area where the air conditioning system is located to the target environmental parameters, have stronger stability, and achieve the effect of energy saving and consumption reduction.

[0074] In another embodiment of the present application, a load control method is also provided, as shown in Figure 2 The method comprises the following steps.

[0075] In step S101, the regional environmental data of a temperature control area where an air conditioning system is located is obtained, as described in the foregoing embodiments.

[0076] In the embodiment of the present application, the regional environmental data comprises temperature data and the like. In addition to the temperature data, the regional environmental data can also comprise humidity data and the like.

[0077] In step S102, the regional environmental data is input into a preset load demand prediction model, so that the load demand prediction model outputs predicted load demand data corresponding to the regional environmental data.

[0078] In the embodiment of the present application, the load demand prediction model is trained according to the training data set corresponding to the temperature control area where the air conditioning system is located. The training data set includes training environment data collected in the temperature control area in the past and corresponding training load demand data calculated according to the training environment data.

[0079] In step S103, the amount of refrigerant in the refrigerant circulation loop of the air conditioning system is adjusted according to the predicted load demand data, so as to adjust the regional environment data of the temperature control area to the target environment data.

[0080] After obtaining the predicted load demand data in step S102, the amount of refrigerant required in the refrigerant circulation loop of the air conditioning system can be determined according to the predicted load demand data. The amount of refrigerant required is compared with the initial amount of refrigerant in the refrigerant circulation loop of the air conditioning system. The amount of refrigerant in the refrigerant circulation loop is adjusted according to the size relationship between the two. Further, the amount of refrigerant in the refrigerant circulation loop can be adjusted by adjusting the opening and closing states of the first electromagnetic valve and the second electromagnetic valve. In turn, the regional environment data of the temperature control area can be adjusted to the target environment data to which the temperature control area needs to be adjusted, so as to adapt to the requirements of the actual application scenario, such as the environmental data requirements of the grain in the grain storehouse.

[0081] The load demand prediction model can predict the predicted load demand data of the temperature control area according to the regional environment data of the temperature control area where the air conditioning system is located, and then adjust the amount of refrigerant in the refrigerant circulation loop of the air conditioning system according to the predicted load demand data, so as to finally adjust the regional environment data of the temperature control area to the target environment data. The present application can adjust the operating state of the air conditioning system in advance according to the predicted load demand data, so as to meet the load demand of each temperature control area in advance and better meet the requirements of the application scenario. Moreover, the present application can adjust the output load of the air conditioning system without changing the frequency of the compressor and the rotating speed of the fan in the air conditioning system, so as to adjust the regional environment data of the temperature control area where the air conditioning system is located to the required target environment parameters, which is more stable and achieves the effect of energy saving and consumption reduction. In the application scenario of large grain storehouses, the air conditioning system is arranged for different temperature control areas, which facilitates balancing the air conditioning load required by each temperature control area in the grain storehouse, ensures that each area in the grain storehouse meets the requirements of grain storage, reduces energy consumption and operating cost, and improves the working efficiency of the air conditioning system.

[0082] In another embodiment of the present application, the training method of the load demand prediction model includes:

[0083] In step S201, the training environment data of the temperature control area and the corresponding training load demand data are obtained.

[0084] In an embodiment of the present application, the training environment data of the temperature control area and the corresponding training load demand data are obtained, including: obtaining the training environment data of the temperature control area; determining the temperature change amount of the temperature control area per unit time according to the training environment data; determining the unit refrigeration amount of the air conditioner according to the temperature change amount and a preset refrigeration amount calculation formula; and determining the training load demand data according to the unit refrigeration amount and a preset refrigerant demand amount calculation formula. The training load demand data can be accurately calculated by calculating the unit refrigeration amount, and the refrigerant demand amount of the refrigerant circulation loop can be more accurately obtained.

[0085] In the embodiment of the present application, the temperature change amount of the temperature control area per unit time is determined according to the training environment data, including: controlling the air conditioning system to operate according to a first load until the temperature control area reaches the training environment data; controlling the air conditioner to operate according to a second load after the temperature control area reaches the training environment data, the second load being smaller than the first load; obtaining a plurality of temperature values in a preset time period during which the temperature changes; and determining the temperature change amount of the temperature control area per unit time according to the plurality of temperature values in the preset time period. The temperature change amount of the temperature control area per unit time can be obtained by collecting the plurality of temperature values, and the unit refrigeration amount can be accurately calculated.

[0086] In another embodiment of the present application, the training environment data of the temperature control area and the corresponding training load demand data are obtained, including: obtaining the training environment data of the temperature control area; adjusting the load of the air conditioner with the target environment data as the adjustment target, and recording the actual output load, which is determined as the training load demand data.

[0087] In step S202, the training environment data is input into the load demand prediction model, so that the load demand prediction model outputs the predicted training load demand data.

[0088] In step S203, the model parameters of the load demand prediction model are adjusted according to the deviation between the predicted training load demand data and the training load demand data until the load demand prediction model converges, and the trained load demand prediction model is obtained.

[0089] The load demand prediction model is trained by using the training environment data and the training load demand data in the embodiment of the present application, so that the trained load demand prediction model can predict the predicted load demand data according to the area environment data, so as to adjust the operating state of the air conditioning system in advance to meet the load demand of each temperature control area in advance and better meet the application scenario demand.

[0090] In another embodiment of the present application, the step S103 of adjusting the amount of refrigerant in the refrigerant circulation loop of the air conditioning system according to the predicted load demand data comprises:

[0091] The step S301 of determining the refrigerant demand amount of the refrigerant circulation loop according to the predicted load demand data;

[0092] In the embodiment of the present application, when the predicted load demand data comprises the refrigerant demand amount, the refrigerant demand amount can be directly extracted from the predicted load demand data.

[0093] In another embodiment of the present application, when the predicted load demand data does not comprise the refrigerant demand amount, the refrigerant demand amount can be calculated according to the predicted load demand data.

[0094] The step S302 of opening the first electromagnetic valve and closing the second electromagnetic valve to make the refrigerant in the refrigerant circulation loop flow into the first accumulator until the actual refrigerant amount in the first accumulator is equal to the difference between the initial refrigerant amount and the refrigerant demand amount, and then closing the first electromagnetic valve, if the refrigerant demand amount is less than the initial refrigerant amount.

[0095] The step S303 of opening the second electromagnetic valve to make the refrigerant in the first accumulator flow out to the refrigerant circulation loop, if the refrigerant demand amount is greater than the difference between the initial refrigerant amount and the refrigerant demand amount.

[0096] The embodiment of the present application can inject refrigerant into the first accumulator when the refrigerant demand amount of the refrigerant circulation loop is less than the initial refrigerant amount, that is, reduce the refrigerant in the refrigerant circulation loop until the actual refrigerant amount in the first accumulator is equal to the difference between the initial refrigerant amount and the refrigerant demand amount, and then close the first electromagnetic valve to stop injecting refrigerant into the first accumulator. At this time, the remaining refrigerant in the refrigerant circulation loop can make the air conditioning system refrigerate and reach the target environmental parameters of the temperature control area it is in.

[0097] When the refrigerant demand amount of the refrigerant circulation loop is greater than the difference between the initial refrigerant amount and the refrigerant demand amount, the second electromagnetic valve can be opened to inject refrigerant into the refrigerant circulation loop, that is, increase the refrigerant in the refrigerant circulation loop, so that the refrigerant in the refrigerant circulation loop after the increase can make the air conditioning system refrigerate and reach the target environmental parameters of the temperature control area it is in.

[0098] In the air conditioning system of a large agricultural warehouse, how to effectively balance the air conditioning load of each area to ensure that the temperature, humidity and other environmental parameters in the warehouse are stable and meet the requirements of grain storage, while reducing energy consumption and operating costs, is a problem to be solved. In order to facilitate understanding, the present application also provides an embodiment in practical application.

[0099] Generally, several grain silo air conditioners are configured in the grain silo to perform grain surface cooling treatment, so that the required temperature in the grain silo can be reached as soon as possible. According to the structure space diagram shown in Figure 3 , four grain silo air conditioners are shown to perform cooling on both sides of the grain silo (more air conditioners can be used according to the design requirements of the grain silo, and the structure space diagram is only illustrative), each grain silo air conditioner performs partition cooling on one area, multiple temperature sensors are arranged in one area to collect temperature changes in the grain silo. Meanwhile, historical data can be collected to establish a load demand prediction model, and the operation state of the air conditioning system can be adjusted in advance according to the prediction result to meet the load demand of each area. On the basis of the load prediction result, the operation mode and parameter setting of the air conditioning system can be optimized. Under the premise of meeting the load demand, the operation time and power of the air conditioning equipment are adjusted to realize the balanced distribution of air conditioning load in each area.

[0100] According to the structure shown in Figure 3 , four grain silo air conditioners are arranged here, when the grain silo needs to be cooled, the compressors of the four grain silo air conditioners start to work at the maximum frequency f, and the fan starts to work at the maximum speed v, so that the internal temperature of the grain silo can be reached as soon as possible. After reaching the required temperature T, the compressor of the grain silo air conditioner starts to reduce the frequency f1, and the speed of the fan is reduced to v1.

[0101] After a period of time, due to the inconsistent amount of grain in each area, the temperature in each area will be inconsistent. Multiple temperature sensors are arranged in each area of the grain silo to collect temperature values in the grain silo within a period of time. Within a certain time t1, the temperature in each area is collected once, and after collecting multiple data, a basic prediction model can be obtained. At this time, taking the temperature change in one area as an example, after a certain time t1, multiple temperatures T1, T2,..., Tn can be obtained, and at this time, the temperature change amount within a certain time Ts can be obtained, and at this time, the temperature change amount Ts1 per unit time can be obtained.

[0102] Ts1=Ts / t1

[0103] The space volume of this area is set as V, the heat leakage rate is J, the refrigeration capacity and the unit refrigeration coefficient of the temperature space are K, and at this time, the unit refrigeration capacity P required by the air conditioner can be obtained:

[0104] P=K*V*Ts1*J

[0105] According to the structure shown in Figure 1It can be known that the grain warehouse air conditioning system principle has two liquid storage tanks, which are liquid storage tank and liquid storage tank 1, and compared with the traditional grain warehouse air conditioner, the liquid storage tank 1 is added, and two electromagnetic valves (electromagnetic valve 1 and electromagnetic valve 2) are added on both sides for on-off control. Under the condition that the frequency of the above compressor and the rotating speed of the fan are unchanged, the running refrigerant in the grain warehouse air conditioner can be reduced, and the unit refrigerating capacity can also be reduced. According to the calculated unit refrigerating capacity P, the specific heat capacity of the refrigerant C, and the unit proportionality coefficient Ks, the refrigerant required for one unit to run L1 can be calculated as follows:

[0106] L1=P*C*Ks

[0107] The initial refrigerant amount in the grain warehouse air conditioner is set as L. If L1

[0108] The temperature data of each area can be collected automatically according to the above method, and the appropriate running mode of each unit can be obtained. The frequency and rotating speed of the compressor in each grain warehouse air conditioner do not need to be changed. By adjusting the refrigerant amount in the unit, the air conditioner can be kept in this mode and run stably, so that the effect of energy saving and consumption reduction is achieved.

[0109] The present application realizes intelligent load balancing and efficient operation of the grain warehouse air conditioning system through intelligent partition control, load demand prediction, intelligent scheduling strategy and other technical means. Compared with the traditional control method, the present application has higher control precision, lower energy consumption and better stability, and provides a new solution for the operation of the air conditioning system of large agricultural grain warehouses.

[0110] In another embodiment of the present application, a load control device is also provided, as shown in Figure 4 , comprising:

[0111] The acquisition module 11 is configured to acquire area environmental data of a temperature control area where the air conditioning system according to claim 1 is located.

[0112] The input module 12 is configured to input the area environmental data into a preset load demand prediction model, so that the load demand prediction model outputs predicted load demand data corresponding to the area environmental data, and the load demand prediction model is obtained by training area historical data of the temperature control area.

[0113] An adjusting module 13 is configured to adjust the amount of refrigerant in the refrigerant circulation loop of the air conditioning system according to the predicted load demand data, so as to adjust the zone environment data of the temperature-controlled zone to the target environment data.

[0114] Optionally, the training device of the load demand prediction model comprises:

[0115] An obtaining unit is configured to obtain training environment data of the temperature-controlled zone and corresponding training load demand data;

[0116] An input unit is configured to input the training environment data into the load demand prediction model, so that the load demand prediction model outputs predicted training load demand data;

[0117] An adjusting unit is configured to adjust model parameters of the load demand prediction model according to a deviation between the predicted training load demand data and the training load demand data, until the load demand prediction model converges, thereby obtaining a trained load demand prediction model.

[0118] Optionally, the obtaining unit comprises:

[0119] An obtaining subunit is configured to obtain training environment data of the temperature-controlled zone;

[0120] A first determining subunit is configured to determine a temperature change amount of the temperature-controlled zone per unit time according to the training environment data;

[0121] A second determining subunit is configured to determine a unit refrigeration amount of the air conditioner according to the temperature change amount and a preset refrigeration amount calculation formula;

[0122] A third determining subunit is configured to determine the training load demand data according to the unit refrigeration amount and a preset refrigerant demand amount calculation formula.

[0123] Optionally, the first determining subunit is further configured to:

[0124] control the air conditioning system to operate at a first load until the temperature-controlled zone reaches the training environment data;

[0125] after the temperature-controlled zone reaches the training environment data, control the air conditioner to operate at a second load, the second load being less than the first load;

[0126] obtain a plurality of temperature values in a temperature change process in a preset time period;

[0127] determine a temperature change amount of the temperature-controlled zone per unit time according to the plurality of temperature values in the preset time period.

[0128] Optionally, the adjusting module comprises:

[0129] a determining unit configured to determine a refrigerant demand of the refrigerant circulation loop according to the predicted load demand data;

[0130] a first electromagnetic valve control unit configured to open the first electromagnetic valve and close the second electromagnetic valve if the refrigerant demand is less than an initial refrigerant amount, so that the refrigerant in the refrigerant circulation loop flows into the first accumulator until an actual refrigerant amount in the first accumulator is equal to a difference between the initial refrigerant amount and the refrigerant demand, and then close the first electromagnetic valve.

[0131] Optionally, the adjusting module further comprises:

[0132] a second electromagnetic valve control unit configured to open the second electromagnetic valve if the refrigerant demand is greater than the difference between the initial refrigerant amount and the refrigerant demand, so that the refrigerant in the first accumulator flows out to the refrigerant circulation loop.

[0133] In still another embodiment of the present application, an electronic device is provided, comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete communication with each other through the communication bus;

[0134] the memory is configured to store a computer program;

[0135] the processor is configured to execute the program stored on the memory to implement the load control method of any of the preceding method embodiments.

[0136] The electronic device provided by the embodiments of the present application can predict the predicted load demand data of the temperature control area where the air conditioning system is located according to the area environmental data of the temperature control area by the processor through the load demand prediction model by executing the program stored on the memory, and then adjust the refrigerant amount in the refrigerant circulation loop of the air conditioning system according to the predicted load demand data, and finally adjust the area environmental data of the temperature control area to the target environmental data. The present application can adjust the operating state of the air conditioning system in advance according to the predicted load demand data to meet the load demand of each temperature control area in advance, and better meet the application scenario demand. Moreover, the present application can adjust the output load of the air conditioning system without changing the frequency of the compressor and the fan speed in the air conditioning system, so as to adjust the area environmental data of the temperature control area where the air conditioning system is located to the required target environmental parameter, which is more stable and achieves the effect of energy saving and consumption reduction. In the application in the large grain warehouse scene, since the air conditioning systems are respectively arranged for different temperature control areas, it is convenient to balance the air conditioning load required by each temperature control area in the grain warehouse, to ensure that each area in the grain warehouse meets the grain storage requirements, while reducing energy consumption and operation cost, and improving the working efficiency of the air conditioning system.

[0137] The communication bus 1140 mentioned in the above electronic device can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The communication bus 1140 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 Only one thick line is used to represent the bus in the middle, but it does not mean that there is only one bus or only one type of bus.

[0138] The communication interface 1120 is used for communication between the above electronic device and other devices.

[0139] The memory 1130 can include a Random Access Memory (RAM) and can also include a non-volatile memory such as at least one disk memory. Optionally, the memory can also be at least one storage device located away from the aforementioned processor.

[0140] The aforementioned processor 1110 can be a general-purpose processor including a Central Processing Unit (CPU), a Network Processor (NP), etc.; can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component.

[0141] In still another embodiment of the present application, a computer readable storage medium is also provided, and the computer readable storage medium has a load balancing method program of an air conditioning system stored thereon. The load balancing method program of the air conditioning system, when executed by a processor, implements the steps of the load control method according to any of the preceding method embodiments.

[0142] It is noted that, as used in this document, the terms "indicate", "comprises" or "comprising", or the like, are inclusive or open-ended and do not exclude additional, unrecited elements or method steps. "Comprising" as used herein is synonymous with "including", "containing", or "comprehending", and is inclusive or open-ended and does not exclude additional, unrecited elements or method steps. As such, this term encompasses the terms "consisting of" and "consisting essentially of". By "consisting of" is meant including, and limited to, whatever follows the term "consisting of". Thus, the term "consisting of" indicates that the listed elements are required or mandatory, and that no other elements can be present. By "consisting essentially of" is meant including any elements listed after the term "consisting essentially of", and limited to other elements that do not interfere with or contribute to the activity or action specified in the disclosure for the listed elements. Thus, the term "consisting essentially of" indicates that the listed elements are required or mandatory, but that other elements are optional and can or can not be present depending upon whether or not they materially affect the activity or action specified in the disclosure for the listed elements.

[0143] The foregoing is considered as illustrative only of the principles of the application. Numerous modifications and changes will readily occur to those skilled in the art, and it is intended to embody these modifications and changes into the scope of the application. Accordingly, it is not intended that the application be limited, except as by the claims made and the semantics of the patent terminology.

Claims

1. A load control method, characterized in that, include: The system acquires regional environmental data for the temperature-controlled area where the air conditioning system is located. The air conditioning system includes a refrigerant circulation loop and a first liquid receiver. The first liquid receiver is connected in parallel with a second liquid receiver in the refrigerant circulation loop. A first solenoid valve is installed on the inlet pipe of the first liquid receiver, and a second solenoid valve is installed on the outlet pipe of the first liquid receiver. When the first solenoid valve is open and the second solenoid valve is closed, the refrigerant in the refrigerant circulation loop flows into the first liquid receiver. When the first solenoid valve is closed and the second solenoid valve is open, the refrigerant in the first liquid receiver flows into the refrigerant circulation loop. The regional environmental data is input into a preset load demand forecasting model so that the load demand forecasting model outputs predicted load demand data corresponding to the regional environmental data. The amount of refrigerant in the refrigerant circulation loop of the air conditioning system is adjusted according to the predicted load demand data in order to adjust the regional environmental data of the temperature control area to the target environmental data.

2. The load control method according to claim 1, characterized in that, The training method for the load demand forecasting model includes: Acquire training environment data and corresponding training load requirements data for the temperature-controlled area; The training environment data is input into the load demand prediction model so that the load demand prediction model outputs predicted training load demand data. The model parameters of the load demand prediction model are adjusted according to the deviation between the predicted training load demand data and the training load demand data until the load demand prediction model converges, thus obtaining the trained load demand prediction model.

3. The load control method according to claim 2, characterized in that, Acquire training environment data and corresponding training load requirements data for the temperature-controlled area, including: Acquire training environment data for the temperature-controlled area; The temperature change of the temperature control zone per unit time is determined based on the training environment data. The unit cooling capacity of the air conditioner is determined based on the temperature change and the preset cooling capacity calculation formula. The training load requirement data is determined based on the unit cooling capacity and the preset refrigerant demand calculation formula.

4. The load control method according to claim 3, characterized in that, The temperature change of the temperature-controlled area per unit time is determined based on training environment data, including: The air conditioning system is controlled to operate at a first load until the temperature control zone reaches the training environment data. After the temperature control zone reaches the training environment data, the air conditioner is controlled to operate at a second load, which is less than the first load. Obtain multiple temperature values ​​during the temperature change process within a preset time period; The temperature change of the temperature control zone per unit time is determined based on multiple temperature values ​​within a preset time period.

5. The load control method according to claim 4, characterized in that, Adjusting the amount of refrigerant in the refrigerant circulation loop of the air conditioning system based on the predicted load demand data includes: The refrigerant demand of the refrigerant circulation loop is determined based on the predicted load demand data. If the refrigerant demand is less than the initial refrigerant quantity, the first solenoid valve is opened and the second solenoid valve is closed, so that the refrigerant in the refrigerant circulation loop flows into the first liquid receiver until the actual refrigerant quantity in the first liquid receiver is equal to the difference between the initial refrigerant quantity and the refrigerant demand, and then the first solenoid valve is closed.

6. The load control method according to claim 5, characterized in that, Adjusting the amount of refrigerant in the refrigerant circulation loop of the air conditioning system based on the predicted load demand data also includes: If the refrigerant demand is greater than the difference between the initial refrigerant quantity and the refrigerant demand, the second solenoid valve is opened to allow the refrigerant in the first receiver to flow out into the refrigerant circulation loop.

7. A load control device, characterized in that, include: An acquisition module is used to acquire regional environmental data for the temperature-controlled area where the air conditioning system is located. The air conditioning system includes a refrigerant circulation loop and a first liquid receiver. The first liquid receiver is connected in parallel with a second liquid receiver in the refrigerant circulation loop. A first solenoid valve is installed on the inlet pipe of the first liquid receiver, and a second solenoid valve is installed on the outlet pipe of the first liquid receiver. When the first solenoid valve is open and the second solenoid valve is closed, the refrigerant in the refrigerant circulation loop flows into the first liquid receiver. When the first solenoid valve is closed and the second solenoid valve is open, the refrigerant in the first liquid receiver flows into the refrigerant circulation loop. A load control device is also included. The input module is used to input the regional environmental data into a preset load demand prediction model so that the load demand prediction model outputs predicted load demand data corresponding to the regional environmental data. The load demand prediction model is trained using the regional historical data of the temperature control area. The adjustment module is used to adjust the amount of refrigerant in the refrigerant circulation loop of the air conditioning system according to the predicted load demand data, so as to adjust the regional environmental data of the temperature control area to the target environmental data.

8. An electronic device, characterized in that, It includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; A processor, when executing a program stored in memory, implements the load control method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a load balancing method program for an air conditioning system, which, when executed by a processor, implements the steps of the load control method according to any one of claims 1-6.

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