Air conditioning system, load control method and device, electronic equipment and storage medium

Abstract

The invention relates to an air conditioning system, a load control method and device, electronic equipment and a storage medium, the air conditioning system comprises a refrigerant circulation loop and a first liquid storage device, the first liquid storage device and a second liquid storage device in the refrigerant circulation loop are arranged in parallel, an inlet pipeline of the first liquid storage device is provided with a first electromagnetic valve, and an outlet pipeline of the second liquid storage device is provided with a second electromagnetic valve; a second electromagnetic valve is arranged on an outlet pipeline of the first liquid storage device; under the condition that the first electromagnetic valve is opened and the second electromagnetic valve is closed, a refrigerant in the refrigerant circulation loop flows into the first liquid storage device, and under the condition that the first electromagnetic valve is closed and the second electromagnetic valve is opened, the refrigerant in the first liquid storage device flows into the refrigerant circulation loop. According to the embodiment of the invention, the refrigerant amount 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 effects of energy conservation and consumption reduction are achieved.

Description

Technical Field

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

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

[0003] The imbalance of air conditioning loads required by each area will cause the air conditioning system to always operate in one mode, directly extending the opening time of the air conditioning system until the temperature requirements are met, and the energy consumption of the air conditioning system is high. Summary of the invention

[0004] In order to solve the above technical problems or at least partially solve the above technical problems, the present application provides an air-conditioning system and a load balancing method, device and electronic equipment thereof.

[0005] In a first aspect, the present application provides an air conditioning system, comprising: a refrigerant circulation circuit and a first liquid reservoir, the first liquid reservoir being arranged in parallel with a second liquid reservoir in the refrigerant circulation circuit, a first solenoid valve being arranged on an inlet pipeline of the first liquid reservoir, and a second solenoid valve being arranged on an outlet pipeline of the first liquid reservoir;

[0006] When the first solenoid valve is opened and the second solenoid valve is closed, the refrigerant in the refrigerant circulation circuit flows into the first accumulator, and when the first solenoid valve is closed and the second solenoid valve is opened, the refrigerant in the first accumulator flows into the refrigerant circulation circuit.

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

[0008] Acquire regional environmental data of a temperature control area where the air conditioning system described in the first aspect is located;

[0009] Inputting 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;

[0010] The amount of refrigerant in the refrigerant circulation loop of the air-conditioning system is adjusted according to the predicted load demand data to adjust the regional environmental data of the temperature control area to the target environmental data.

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

[0012] Acquire training environment data of the temperature control area and corresponding training load demand data;

[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] 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 to obtain a trained load demand prediction model.

[0015] Optionally, obtaining the training environment data of the temperature control area and the corresponding training load requirement data includes:

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

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

[0018] Determining the unit cooling capacity of the air conditioner according to the temperature change and a preset cooling capacity calculation formula;

[0019] The training load requirement data is determined according to the unit cooling capacity and a preset refrigerant requirement calculation formula.

[0020] Optionally, determining the temperature change of the temperature control area within a unit time according to the training environment data includes:

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

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

[0023] Obtain multiple temperature values ​​during the temperature change process within a preset time period;

[0024] The temperature change of the temperature control area within a unit time is determined according to a plurality of temperature values ​​within a preset time period.

[0025] Optionally, adjusting the amount of refrigerant in the refrigerant circulation loop of the air-conditioning system according to the predicted load demand data includes:

[0026] Determining the refrigerant demand of the refrigerant circulation loop according to the predicted load demand data;

[0027] If the refrigerant demand is less than the initial refrigerant quantity, open the first solenoid valve and close the second solenoid valve to allow the refrigerant in the refrigerant circulation loop to flow into the first liquid reservoir until the actual refrigerant quantity in the first liquid reservoir is equal to the difference between the initial refrigerant quantity and the refrigerant demand, and then close the first solenoid valve.

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

[0029] 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 liquid storage tank to flow out to the refrigerant circulation circuit.

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

[0031] An acquisition module, used to acquire regional environmental data of a temperature control area where the air-conditioning system as described in the first aspect is located;

[0032] An input module, used for inputting 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, wherein the load demand prediction model is trained using regional historical data of the temperature control area;

[0033] 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.

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

[0035] An acquisition unit, used to acquire the training environment data of the temperature control area and the corresponding training load demand data;

[0036] An input unit, used for inputting the training environment data into the load demand prediction model, so that the load demand prediction model outputs predicted training load demand data;

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

[0038] Optionally, the acquiring unit includes:

[0039] An acquisition subunit, used to acquire training environment data of the temperature control area;

[0040] A first determining subunit, configured to determine a temperature change in the temperature control area within a unit time according to the training environment data;

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

[0042] The third determination subunit is used to determine the training load demand data according to the unit cooling capacity and a preset refrigerant demand calculation formula.

[0043] Optionally, the first determining subunit is further used for:

[0044] Controlling 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, controlling the air conditioner to operate according to a second load, the second load being less than the first load;

[0046] Obtain multiple temperature values ​​during the temperature change process within a preset time period;

[0047] The temperature change of the temperature control area within a unit time is determined according to a plurality of temperature values ​​within a preset time period.

[0048] Optionally, the adjustment module includes:

[0049] a determination unit, configured to determine a refrigerant demand of the refrigerant circulation circuit according to the predicted load demand data;

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

[0051] Optionally, the adjustment module further includes:

[0052] The second solenoid valve control unit is used to open the second solenoid valve if the refrigerant demand is greater than the difference between the initial refrigerant quantity and the refrigerant demand, so as to allow the refrigerant in the first liquid storage tank to flow out to the refrigerant circulation circuit.

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

[0054] Memory, used to store computer programs;

[0055] The processor is used to implement any load control method described in the second aspect when executing the program stored in the memory.

[0056] In a fifth aspect, the present application provides a computer-readable storage medium, on which a program of a load control method is stored. When the load balancing method program of the air-conditioning system is executed by a processor, the steps of any load control method described in the second aspect are implemented.

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

[0058] By adding a first liquid storage tank, 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 solenoid valve and the second solenoid valve, thereby adjusting the output load of the air-conditioning system without changing the frequency of the compressor and the fan speed in the air-conditioning system, thereby facilitating the adjustment of the regional environmental data of the temperature control area where the air-conditioning system is located to the required target environmental parameters, thereby achieving greater stability and achieving the effect of energy saving and consumption reduction.

[0059] The embodiment 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 where the air-conditioning system is located through 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, and finally 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 scenario requirements; moreover, the present application can adjust the output load of the air-conditioning system without changing the frequency and fan speed of the compressor in the air-conditioning system, so that the regional environmental data of the temperature control area where the air-conditioning system is located is adjusted to the required target environmental parameters, with stronger stability and the effect of energy saving and consumption reduction. In the scenario of large granaries, since air-conditioning systems are arranged for different temperature control areas, it is convenient to balance the air-conditioning load required by each temperature control area in the granary, ensure that each area in the granary meets the grain storage requirements, and at the same time reduce energy consumption and operating costs, and improve the working efficiency of the air-conditioning system. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0061] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

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

[0063] Figure 2 A flow chart of a load control method provided in an embodiment of the present application;

[0064] Figure 3 A schematic diagram of the structure of a space for laying out an air conditioning system provided in an embodiment of the present application;

[0065] Figure 4 A structural diagram of a load control device provided in an embodiment of the present application;

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

[0067] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0068] In the air conditioning system of a large agricultural granary, the amount of grain in each area is different, and the heat generated by grain respiration is also different, so the air conditioning load required by each area will be unbalanced. The unbalanced air conditioning load required by each area will cause the air conditioning to always operate in one mode, directly extending the opening time of the air conditioning system until the temperature requirements are met, and the air conditioning system has high energy consumption. To this end, the embodiments of the present application provide an air conditioning system, a load control method, a device, an electronic device, and a storage medium.

[0069] An embodiment of the present application provides an air-conditioning system, which is respectively arranged in different areas of a target space. By way of example, the target space may refer to a large agricultural granary, and the target space may be divided into several temperature-controlled areas. An independent air-conditioning system and a sensor network for detecting environmental data in the area are respectively arranged in each temperature-controlled area. The air-conditioning system can cool down the temperature-controlled areas in which they are located. The sensor network includes one or more sensors, such as a temperature sensor, a humidity sensor, etc.

[0070] like Figure 1 As shown, the air conditioning system comprises: a refrigerant circulation circuit and a first liquid reservoir, the first liquid reservoir is arranged in parallel with a second liquid reservoir in the refrigerant circulation circuit, a first solenoid valve is arranged on the inlet pipeline of the first liquid reservoir, and a second solenoid valve is arranged on the outlet pipeline of the first liquid reservoir;

[0071] like Figure 1 As shown, the refrigerant circulation circuit includes: a second liquid storage tank, a compressor, a finned condenser, an evaporator, an exhaust temperature sensor, a high-pressure sensor, a low-pressure sensor, an intake temperature sensor, a capillary tube, a filter, a liquid spray solenoid valve, a drying filter, a first electronic expansion valve, a filter, an unloading solenoid valve, etc. The connection method of each component can be required in the actual application, and this application does not limit it.

[0072] When the first solenoid valve is opened and the second solenoid valve is closed, the refrigerant in the refrigerant circulation circuit flows into the first accumulator, and when the first solenoid valve is closed and the second solenoid valve is opened, the refrigerant in the first accumulator flows into the refrigerant circulation circuit.

[0073] By adding a first liquid storage tank, 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 solenoid valve and the second solenoid valve, thereby adjusting the output load of the air-conditioning system without changing the frequency of the compressor and the fan speed in the air-conditioning system, thereby facilitating the adjustment of the regional environmental data of the temperature control area where the air-conditioning system is located to the required target environmental parameters, thereby achieving greater stability and achieving the effect of energy saving and consumption reduction.

[0074] In another embodiment of the present application, a load control method is also provided. Figure 2 As shown, including:

[0075] Step S101, obtaining regional environmental data of a temperature control area where the air conditioning system described in the above embodiment is located;

[0076] In the embodiment of the present application, the regional environmental data includes: temperature data, etc. In addition to temperature data, the regional environmental data may also include humidity data, etc.

[0077] Step S102, inputting 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;

[0078] In an embodiment of the present application, the load demand prediction model is trained based on a training data set corresponding to the temperature control area where the air-conditioning system is located. The training data set includes: training environment data historically collected in the temperature control area and its corresponding training load demand data. The training load demand data is calculated based on the training environment data.

[0079] Step S103, 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 regional environmental data of the temperature control area to the target environmental data.

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

[0081] The embodiment 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 where the air-conditioning system is located through 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, and finally 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 scenario requirements; moreover, the present application can adjust the output load of the air-conditioning system without changing the frequency and fan speed of the compressor in the air-conditioning system, so that the regional environmental data of the temperature control area where the air-conditioning system is located is adjusted to the required target environmental parameters, with stronger stability and the effect of energy saving and consumption reduction. In the scenario of large granaries, since air-conditioning systems are arranged for different temperature control areas, it is convenient to balance the air-conditioning load required by each temperature control area in the granary, ensure that each area in the granary meets the grain storage requirements, and at the same time reduce energy consumption and operating costs, and improve 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] Step S201, obtaining training environment data of the temperature control area and corresponding training load demand data;

[0084] In one embodiment of the present application, obtaining the training environment data of the temperature control area and its corresponding training load demand data includes: obtaining the training environment data of the temperature control area; determining the temperature change of the temperature control area per unit time according to the training environment data; determining the unit cooling capacity of the air conditioner according to the temperature change and a preset cooling capacity calculation formula; determining the training load demand data according to the unit cooling capacity and a preset refrigerant demand calculation formula. The embodiment of the present application can accurately calculate the training load demand data by calculating the unit cooling capacity, thereby facilitating obtaining a more accurate refrigerant demand for the refrigerant circulation loop.

[0085] Among them, determining the temperature change of the temperature control area within a unit time according to the training environment data includes: controlling the air conditioning system to operate according to a first load until the temperature control area reaches the training environment data; after the temperature control area reaches the training environment data, controlling the air conditioner to operate according to a second load, the second load being less than the first load; obtaining multiple temperature values ​​during the temperature change process within a preset time period; and determining the temperature change of the temperature control area within a unit time according to the multiple temperature values ​​within the preset time period. The embodiment of the present application can obtain the temperature change of the temperature control area within a unit time by collecting multiple temperature values, thereby facilitating the accurate calculation of the unit cooling capacity.

[0086] In another embodiment of the present application, the training environment data of the temperature control area and its corresponding training load requirement 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, and determining the actual output load as the training load requirement data.

[0087] Step S202, inputting the training environment data into the load demand prediction model, so that the load demand prediction model outputs predicted training load demand data;

[0088] Step S203, adjusting the model parameters of the load demand prediction model according to the deviation between the predicted training load demand data and the training load demand data, until the load demand prediction model converges to obtain a trained load demand prediction model.

[0089] The embodiment of the present application trains the load demand prediction model by utilizing training environment data and training load demand data, so that the trained load demand prediction model can predict the load demand data according to the regional environment data, so as to adjust the operating status of the air-conditioning system in advance, so as to meet the load demand of each temperature control area in advance and better meet the requirements of the application scenarios.

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

[0091] Step S301, determining the refrigerant demand 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 includes the refrigerant demand, the refrigerant demand 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 include the refrigerant demand, the refrigerant demand can be calculated based on the predicted load demand data.

[0094] Step S302, 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 circuit flows into the first liquid reservoir until the actual refrigerant quantity in the first liquid reservoir is equal to the difference between the initial refrigerant quantity and the refrigerant demand, and the first solenoid valve is closed;

[0095] Step S303: 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 liquid storage tank to flow out to the refrigerant circulation circuit.

[0096] In the embodiment of the present application, when the refrigerant demand of the refrigerant circulation loop is less than the initial refrigerant quantity, refrigerant can be injected into the first liquid reservoir, that is, the refrigerant in the refrigerant circulation loop can be reduced until the actual refrigerant quantity in the first liquid reservoir is equal to the difference between the initial refrigerant quantity and the refrigerant demand quantity, and the first solenoid valve is closed to stop injecting refrigerant into the first liquid reservoir. At this time, the remaining refrigerant in the refrigerant circulation loop can enable the air-conditioning system to cool and reach the target environmental parameters of the temperature control area in which it is located;

[0097] When the refrigerant demand of the refrigerant circulation circuit is greater than the difference between the initial refrigerant amount and the refrigerant demand, the second solenoid valve can be opened to inject refrigerant into the refrigerant circulation circuit, that is, to increase the refrigerant in the refrigerant circulation circuit, so that the refrigerant in the refrigerant circulation circuit after the increase can enable the air-conditioning system to cool and reach the target environmental parameters of its temperature control area.

[0098] In the air conditioning system of a large agricultural granary, how to effectively balance the air conditioning load of each area, ensure that the environmental parameters such as temperature and humidity in the granary are stable and meet the requirements of grain storage, and reduce energy consumption and operating costs is a problem to be solved. For ease of understanding, this application also provides an embodiment in practical application.

[0099] Generally, several granary air conditioners are installed in granaries to cool the grain surface, so that the granary can reach the required temperature as quickly as possible. Figure 3 The structural space diagram shown in the figure shows four granary air conditioners cooling down on both sides of the granary (actual needs depend on the design requirements of the granary, more can be used, the structural space diagram is just a schematic diagram). Each granary air conditioner cools down a zone, and multiple temperature sensors are set in one zone to collect temperature changes in the granary. At the same time, the historical collection data can be used to establish a load demand prediction model, and the operating status of the air conditioning system can be adjusted in advance according to the prediction results to meet the load requirements of each area. The operating mode and parameter settings of the air conditioning system can be optimized based on this load prediction result. Under the premise of meeting the load demand, the balanced distribution of air conditioning load in each area can be achieved by adjusting the operating time, power and other parameters of the air conditioning equipment.

[0100] according to Figure 3 In the structure shown, there are four granary air conditioners installed. When the granary needs to be cooled, the four granary air conditioner compressors start to work at the maximum frequency f and the maximum fan speed v, so that the granary reaches the required temperature T as soon as possible. After reaching the required temperature T, the granary air conditioner compressors start to reduce the frequency f1 and the fan speed is reduced to v1.

[0101] After a period of time, the inconsistent amount of grain in each area will lead to inconsistent temperatures in each area. Multiple temperature sensors are set in each area of ​​the granary to collect the temperature values ​​in the granary over a period of time. Within a certain period of time t1, the temperature in each area is collected once. After collecting multiple data, a basic prediction model can be obtained. At this time, taking the temperature change in a region as an example, after multiple certain periods of time t1, multiple temperatures T1, T2...Tn can be obtained. At this time, the temperature change in a certain period of time can be obtained as an average value Ts, and the temperature change per unit time Ts1 can be obtained.

[0102] Ts1=Ts / t1

[0103] Assuming the spatial volume of this area is V, the heat leakage rate is J, the unit cooling coefficient of the cooling capacity and temperature space is K, the unit cooling capacity P required by the air conditioner can be obtained:

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

[0105] according to Figure 1It can be known that there are two liquid storage tanks in the principle of the granary air-conditioning system, namely the liquid storage tank and the liquid storage tank 1. Compared with the traditional granary air-conditioning, the liquid storage tank 1 is added, and two solenoid valves (solenoid valve 1 and solenoid valve 2) are added on both sides for on-off control. When the compressor frequency and the fan speed above remain unchanged, the refrigerant running inside the granary air-conditioning decreases, and the unit refrigerating capacity can also decrease. According to the unit refrigerating capacity P calculated above, the specific heat capacity of the refrigerant is C, the unit proportional coefficient is Ks, and the refrigerant requirement for one unit operation is L1, which can be calculated by the following formula:

[0106] L1 = P * C * Ks

[0107] Set the initial refrigerant amount in the granary air-conditioning at the beginning as L. If L1 < L, at this time, control the solenoid valve 1 to open and the solenoid valve 2 to close. Part of the refrigerant will flow into the liquid storage tank 1. At this time, we need to calculate the refrigerant amount in the liquid storage tank 1 through the liquid level of the liquid storage tank. When the refrigerant amount in the liquid storage tank reaches L - L1, the solenoid valve 1 closes. The unit refrigerating capacity of the unit here is P, that is, it can meet the stable operation in the granary under this state. When more refrigerant is needed for operation subsequently, the solenoid valve 2 opens to make the refrigerant in the liquid storage tank 1 flow into the unit for heat exchange.

[0108] The units in each area automatically collect temperature data according to the above method, and the appropriate operation mode of each unit can be obtained. It is not necessary to change the compressor frequency and the fan speed in each granary air-conditioning. By adjusting the refrigerant amount inside the unit operation, the air-conditioning can maintain stable operation in this mode, achieving the effect of energy conservation and consumption reduction.

[0109] This application realizes the intelligent load balance and efficient operation of the granary air-conditioning system through technical means such as intelligent zoning control, load demand prediction, and intelligent scheduling strategy. Compared with the traditional control method, the present invention has higher control precision, lower energy consumption, and better stability, providing a new solution for the operation of the air-conditioning system of large agricultural granaries.

[0110] In another embodiment of this application, a load control device is also provided, as Figure 4 shown, including:

[0111] An acquisition module 11, configured to acquire the regional environment data of the temperature control area where the air-conditioning system described in claim 1 is located;

[0112] An input module 12, configured to input the regional environment data into a preset load demand prediction model, so that the load demand prediction model outputs prediction load demand data corresponding to the regional environment data, and the load demand prediction model is trained using the regional historical data of the temperature control area;

[0113] The adjustment module 13 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.

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

[0115] An acquisition unit, used to acquire the training environment data of the temperature control area and the corresponding training load demand data;

[0116] An input unit, used for inputting 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 adjustment unit is used to adjust the model parameters of the load demand prediction model according to the deviation between the predicted training load demand data and the training load demand data until the load demand prediction model converges to obtain a trained load demand prediction model.

[0118] Optionally, the acquiring unit includes:

[0119] An acquisition subunit, used to acquire training environment data of the temperature control area;

[0120] A first determining subunit, configured to determine a temperature change in the temperature control area within a unit time according to the training environment data;

[0121] a second determining subunit, configured to determine a unit cooling capacity of the air conditioner according to the temperature change and a preset cooling capacity calculation formula;

[0122] The third determination subunit is used to determine the training load demand data according to the unit cooling capacity and a preset refrigerant demand calculation formula.

[0123] Optionally, the first determining subunit is further used for:

[0124] Controlling the air conditioning system to operate according to a first load until the temperature control area reaches the training environment data;

[0125] After the temperature control area reaches the training environment data, controlling the air conditioner to operate according to a second load, the second load being less than the first load;

[0126] Obtain multiple temperature values ​​during the temperature change process within a preset time period;

[0127] The temperature change of the temperature control area within a unit time is determined according to a plurality of temperature values ​​within a preset time period.

[0128] Optionally, the adjustment module includes:

[0129] a determination unit, configured to determine a refrigerant demand of the refrigerant circulation circuit according to the predicted load demand data;

[0130] The first solenoid valve control unit is used to open the first solenoid valve and close the second solenoid valve if the refrigerant demand is less than the initial refrigerant amount, so that the refrigerant in the refrigerant circulation loop flows into the first liquid reservoir until the actual refrigerant amount in the first liquid reservoir is equal to the difference between the initial refrigerant amount and the refrigerant demand, and then close the first solenoid valve.

[0131] Optionally, the adjustment module further includes:

[0132] The second solenoid valve control unit is used to open the second solenoid valve if the refrigerant demand is greater than the difference between the initial refrigerant quantity and the refrigerant demand, so as to allow the refrigerant in the first liquid storage tank to flow out to the refrigerant circulation circuit.

[0133] In another embodiment of the present application, an electronic device is provided, including 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;

[0134] Memory, used to store computer programs;

[0135] The processor is used to implement the load control method described in any of the above method embodiments when executing the program stored in the memory.

[0136] The electronic device provided by the embodiment of the present invention, the processor can predict the predicted load demand data of the temperature control area according to the regional environmental data of the temperature control area where the air-conditioning system is located through the load demand prediction model by executing the program stored in 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 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 scenario requirements; moreover, the present application can adjust the output load of the air-conditioning system without changing the frequency and fan speed of the compressor in the air-conditioning system, so that the regional environmental data of the temperature control area where the air-conditioning system is located is adjusted to the required target environmental parameters, with stronger stability and the effect of energy saving and consumption reduction. In the scenario of large granaries, since air-conditioning systems are arranged for different temperature control areas, it is convenient to balance the air-conditioning load required by each temperature control area in the granary, ensure that each area in the granary meets the grain storage requirements, and reduce energy consumption and operating costs at the same time, and improve 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. 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 in the diagram, but this 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 may include a random access memory (RAM) or a non-volatile memory, such as at least one disk memory. Optionally, the memory may also be at least one storage device located away from the aforementioned processor.

[0140] The above-mentioned processor 1110 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.

[0141] In another embodiment of the present application, a computer-readable storage medium is provided, on which a load balancing method program for an air-conditioning system is stored. When the load balancing method program for the air-conditioning system is executed by a processor, the steps of the load control method described in any of the aforementioned method embodiments are implemented.

[0142] It should be noted that, in this article, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0143] The foregoing is merely a specific embodiment of the present invention, which enables those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features claimed herein.

Claims

1. An air conditioning system, characterized in that: include: A refrigerant circulation circuit and a first liquid accumulator, wherein the first liquid accumulator is arranged in parallel with a second liquid accumulator in the refrigerant circulation circuit, a first solenoid valve is arranged on an inlet pipeline of the first liquid accumulator, and a second solenoid valve is arranged on an outlet pipeline of the first liquid accumulator; When the first solenoid valve is opened and the second solenoid valve is closed, the refrigerant in the refrigerant circulation circuit flows into the first accumulator, and when the first solenoid valve is closed and the second solenoid valve is opened, the refrigerant in the first accumulator flows into the refrigerant circulation circuit.

2. A load control method, characterized in that: include: Acquire regional environmental data of a temperature control area where the air conditioning system according to claim 1 is located; Inputting 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 amount of refrigerant in the refrigerant circulation loop of the air-conditioning system is adjusted according to the predicted load demand data to adjust the regional environmental data of the temperature control area to the target environmental data.

3. The load control method according to claim 2, characterized in that: The training method of the load demand prediction model includes: Acquire training environment data of the temperature control area and corresponding training load demand data; Inputting the training environment data 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 to obtain a trained load demand prediction model.

4. The load control method according to claim 3, characterized in that: Acquiring the training environment data of the temperature control area and the corresponding training load requirement data, including: Acquiring training environment data of the temperature control area; Determine the temperature change of the temperature control area per unit time according to the training environment data; Determining the unit cooling capacity of the air conditioner according to the temperature change and a preset cooling capacity calculation formula; The training load requirement data is determined according to the unit cooling capacity and a preset refrigerant requirement calculation formula.

5. The load control method according to claim 4, characterized in that: Determining the temperature change of the temperature control area within a unit time according to the training environment data includes: Controlling the air conditioning system to operate according to a first load until the temperature control area reaches the training environment data; After the temperature control area reaches the training environment data, controlling the air conditioner to operate according to a second load, the second load being 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 area within a unit time is determined according to a plurality of temperature values ​​within a preset time period.

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 according to the predicted load demand data includes: Determining the refrigerant demand of the refrigerant circulation loop according to the predicted load demand data; If the refrigerant demand is less than the initial refrigerant quantity, open the first solenoid valve and close the second solenoid valve to allow the refrigerant in the refrigerant circulation loop to flow into the first liquid reservoir until the actual refrigerant quantity in the first liquid reservoir is equal to the difference between the initial refrigerant quantity and the refrigerant demand, and then close the first solenoid valve.

7. The load control method according to claim 6, characterized in that: Adjusting the amount of refrigerant in the refrigerant circulation loop of the air-conditioning system according to 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 liquid storage tank to flow out to the refrigerant circulation circuit.

8. A load control device, characterized in that: include: An acquisition module, used to acquire regional environmental data of a temperature control area where the air conditioning system according to claim 1 is located; An input module, used for inputting 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, wherein the load demand prediction model is trained using 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.

9. 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; The processor is used to implement the load control method described in any one of claims 2 to 7 when executing the program stored in the memory.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a load balancing method program for an air-conditioning system, and when the load balancing method program for the air-conditioning system is executed by a processor, the steps of the load control method described in any one of claims 2 to 7 are implemented.

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