Refrigeration equipment control method and device, electronic equipment and storage medium

Abstract

The invention discloses a refrigeration equipment control method and device, electronic equipment and a storage medium. The method comprises the steps that first temperature data collected by a temperature sensor is obtained; predicting cooling load demand data according to the first temperature data; and according to the cold load demand data, operation parameters of the refrigeration equipment are adjusted, electric power output by the thermoelectric power generation device is called to feed back the refrigeration equipment or store energy, the thermoelectric power generation device comprises a plurality of cold source channels and heat source channels, and the cold source channels and the heat source channels are arranged in an orthogonal mode. By implementing the embodiment of the invention, the refrigeration equipment can predict the cooling load demand data according to the obtained first temperature data collected by the temperature sensor, the operation parameters of the refrigeration equipment can be preliminarily determined, and the operation parameters of the refrigeration equipment can be adjusted according to the cooling load demand data, so that the operation intelligence of the refrigeration equipment is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic devices, and pertains to air conditioning unit technology, and in particular to a refrigeration equipment control method, device, electronic equipment and storage medium. Background Art

[0002] When the refrigeration equipment is in operation, it discharges a large amount of heat to the surrounding environment, causing huge energy waste and certain waste heat pollution. The refrigeration equipment in the prior art does not recover the waste heat, or the heat recovery technology only realizes energy recovery and transfer, and the energy form remains unchanged, which is inconvenient for users to use the energy. Moreover, the recovery and utilization of heat in the refrigeration equipment requires the introduction of additional components, such as circulating water pumps, which require additional energy input. There is a loss in the form of mechanical energy in the process of waste heat recovery and reuse, which leads to low efficiency of waste heat recovery. Summary of the invention

[0003] In view of at least one of the above technical problems, an object of the present invention is to provide a refrigeration equipment control method, device, electronic device and storage medium.

[0004] On the one hand, an embodiment of the present invention includes a refrigeration equipment control method, which is applied to a refrigeration equipment, wherein the refrigeration equipment is provided with a temperature sensor and a temperature difference power generation device, wherein the temperature difference power generation device uses waste heat generated by the operation of the refrigeration equipment to form a temperature difference and generate electricity, and the method includes:

[0005] Acquire first temperature data collected by the temperature sensor;

[0006] predicting cooling load demand data according to the first temperature data;

[0007] According to the cooling load demand data, the operating parameters of the refrigeration equipment are adjusted, and the power output by the temperature difference power generation device is called to feed back to the refrigeration equipment or to store energy. The temperature difference power generation device includes a plurality of cold source channels and heat source channels, and the cold source channels and the heat source channels are arranged orthogonally.

[0008] Further, predicting cooling load demand data according to the first temperature data includes:

[0009] The cooling load demand data is predicted according to the first temperature data using a trained load prediction model.

[0010] Furthermore, before predicting the cooling load demand data according to the first temperature data by using the trained load prediction model, the method further includes:

[0011] Acquire device data and second temperature data corresponding to the refrigeration device;

[0012] The step of predicting the cooling load demand data according to the first temperature data by using the trained load prediction model includes:

[0013] Obtaining initial cooling load demand data according to the first temperature data by using the load prediction model;

[0014] The initial cooling load demand data is corrected according to the equipment data corresponding to the refrigeration equipment and the second temperature data to obtain the cooling load demand data.

[0015] Furthermore, before acquiring the first temperature data collected by the temperature sensor, the method further includes:

[0016] Acquire a sample first temperature data set; the sample first temperature data set includes a plurality of sample first temperature data sets and initial cooling load demand data corresponding to each sample first temperature data set;

[0017] The sample first temperature data set is input into the load prediction model to be trained, and the load prediction model to be trained obtains the predicted cooling load demand data corresponding to each sample first temperature data according to each sample first temperature data. According to the error between the initial cooling load demand data corresponding to each sample first temperature data and the predicted cooling load demand data corresponding to each sample first temperature data, the model parameters of the load prediction model are adjusted until the error is less than the error threshold to obtain a trained load prediction model.

[0018] Further, the operating parameters include operating power; and adjusting the operating parameters of the refrigeration equipment according to the cooling load demand data includes:

[0019] According to the cooling load demand data, the refrigeration equipment is controlled to operate at an operating power corresponding to the cooling load demand data.

[0020] Furthermore, the refrigeration equipment further includes an energy storage device, and the method further includes:

[0021] detecting the output power of the temperature difference power generation device;

[0022] If the output power of the temperature difference power generation device is less than a preset power threshold, the stored power in the energy storage device is called;

[0023] If the output power of the temperature difference power generation device is greater than or equal to a preset power threshold, the energy storage device is charged.

[0024] Furthermore, the temperature difference power generation device generates electricity through waste heat generated when the refrigeration equipment is in operation.

[0025] On the other hand, an embodiment of the present invention further includes a refrigeration equipment control device, which is applied to a refrigeration equipment, wherein the refrigeration equipment is provided with a temperature sensor and a temperature difference power generation device, wherein the temperature difference power generation device uses waste heat generated by the operation of the refrigeration equipment to form a temperature difference and generate electricity, and the device includes:

[0026] A first acquisition module, used to acquire first temperature data collected by the temperature sensor;

[0027] A load prediction module, used for predicting cooling load demand data according to the first temperature data;

[0028] An operation adjustment module is used to adjust the operation parameters of the refrigeration equipment according to the cold load demand data, and call the power output by the temperature difference power generation device to feed back the refrigeration equipment or store energy, the temperature difference power generation device includes a plurality of cold source channels and heat source channels, and the cold source channels and the heat source channels are arranged orthogonally.

[0029] On the other hand, an embodiment of the present invention further includes a computer device, including a memory and a processor, wherein the memory is used to store at least one program, and the processor is used to load the at least one program to execute the refrigeration equipment control method in the embodiment.

[0030] On the other hand, an embodiment of the present invention further includes a storage medium storing a program executable by a processor, wherein the program executable by the processor is used to execute the refrigeration equipment control method in the embodiment when executed by the processor.

[0031] Compared with the related art, the embodiments of the present application have the following beneficial effects:

[0032] The embodiments of the present application provide a refrigeration equipment control method, device, electronic device and storage medium, which obtain the first temperature data collected by the temperature sensor; predict the cold load demand data according to the first temperature data; adjust the operating parameters of the refrigeration equipment according to the cold load demand data, and call the power output by the thermoelectric power generation device to feed back to the refrigeration equipment or store energy, the thermoelectric power generation device is integrated by a large number of thermoelectric power generation sheets, which include multiple cold source channels and hot source channels, and the cold source channels and the hot source channels are orthogonally arranged. By implementing the embodiments of the present application, the refrigeration equipment can predict the cold load demand data according to the first temperature data collected by the temperature sensor, can preliminarily determine the operating parameters of the refrigeration equipment, and adjust the operating parameters of the refrigeration equipment according to the cold load demand data, and call the power output by the thermoelectric power generation device to feed back to the refrigeration equipment or store energy, which can save the electricity required by the refrigeration equipment during operation, thereby improving the intelligence of the operation of the refrigeration equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1It is a flow chart of a refrigeration equipment control method disclosed in an embodiment of the present application;

[0034] Figure 2 It is a schematic diagram of a control process of a temperature difference power generation device disclosed in an embodiment of the present application;

[0035] Figure 3 is a schematic structural diagram of a refrigeration device provided with a temperature difference power generation device in an embodiment;

[0036] Figure 4 is a schematic structural diagram of a temperature difference power generation device in an embodiment;

[0037] Figure 5 It is a structural schematic diagram of a refrigeration equipment control device disclosed in an embodiment of the present application;

[0038] Figure 6 It is a structural schematic diagram of an electronic device disclosed in an embodiment of the present application. DETAILED DESCRIPTION

[0039] The following will be combined with 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 only 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 creative work are within the scope of protection of this application.

[0040] It should be noted that the terms "including" and "having" and any variations thereof in the embodiments of the present application and the accompanying drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products or devices.

[0041] It is understood that the terms "first", "second", etc. used in this application can be used to describe various elements in this article, but these elements are not limited by these terms. These terms are only used to distinguish a first element from another element. For example, without departing from the scope of this application, the first temperature data can be called the second temperature data, and similarly, the second temperature data can be called the first temperature data. Both the first temperature data and the second temperature data are temperature data, but they are not the same temperature data.

[0042] General refrigeration equipment is not designed for heat recovery. The heat of the condenser is dissipated into the environment through water or wind and other media, and the condensed heat is not used. The existing heat recovery technology is to recycle a large amount of waste heat in a certain way and reuse it as the final heat source or primary heat source for users. The high-temperature and high-pressure gaseous refrigerant discharged by the compressor first enters the heat recovery device, releases heat and is recycled, and then passes through the condenser and expansion valve, absorbs heat in the evaporator and evaporates into low-temperature and low-pressure gaseous refrigerant, and returns to the compressor. Refrigeration equipment often uses water as a medium for heat recovery. A circulating water pump is used to send water at room temperature into the heat recovery device, and heat is exchanged with the high-temperature and high-pressure gaseous refrigerant. The water temperature is raised and returned to the hot water storage tank. When the hot water is sent to the heat recovery device again by the water pump, it is heated. After multiple heat exchanges, the water reaches the set temperature and can be used by users, and the circulating water pump stops working. When the user takes water, the device automatically replenishes water, and the hot water circulation pump starts to operate automatically. The hot water is directly used for heating or for cleaning or life. However, this heat recovery technology simply transfers the recovered heat, which cannot be used directly, resulting in a low recovery rate of the recovered heat.

[0043] The embodiments of the present application disclose a refrigeration equipment control method, device, electronic device and storage medium, which can improve the intelligence of the operation of the refrigeration equipment.

[0044] Figure 1 : is a flow chart of a refrigeration equipment control method disclosed in an embodiment of the present application. Figure 1 The described refrigeration equipment control method is applicable to refrigeration equipment, which may be an air conditioner, a refrigerator, a refrigerated display cabinet, etc. Figure 1 As shown, the refrigeration equipment control method may include the following steps:

[0045] Step S101, obtaining first temperature data collected by a temperature sensor.

[0046] In some embodiments, the first temperature data may be used to describe the temperature condition of the room where the refrigeration device is located. The refrigeration device may control the temperature sensor to collect the first temperature data at a preset time interval, so that the refrigeration device may obtain the first temperature data collected by the temperature sensor at every preset time interval. For example, the refrigeration device may control the temperature sensor to collect the first temperature data every 0.1 second.

[0047] As an optional implementation, the temperature sensor may be disposed in a position in the refrigeration device where it can be in direct contact with the indoor air, so as to improve the accuracy of the first temperature data of the indoor air detected by the temperature sensor.

[0048] Step S102: predicting cooling load demand data according to the first temperature data.

[0049] In some embodiments, the cooling load demand data can be used to describe the cooling demand for the room where the refrigeration device is located. The refrigeration device can find the cooling load demand data corresponding to the first temperature data according to the first temperature data. Furthermore, the predicted cooling load demand data corresponding to the first temperature data can be stored in the refrigeration device in advance.

[0050] As an optional implementation, the refrigeration equipment can predict the cooling load demand data according to the first temperature data through a trained load prediction model. The load prediction model can be trained based on a sample first temperature data set. The refrigeration equipment can directly calculate the cooling load demand data according to the first temperature data through a trained load prediction model, or calculate the initial cooling load demand data according to the first temperature data through the load prediction model, and then correct the initial cooling load demand data to obtain the cooling load demand data. The refrigeration equipment can predict the cooling load demand data according to the first temperature data through a trained load prediction model, thereby improving the accuracy of the predicted cooling load demand data, thereby providing a technical basis for the intelligence of the refrigeration equipment.

[0051] Further, the refrigeration device can obtain the device data and the second temperature data corresponding to the refrigeration device; obtain the initial cooling load demand data according to the first temperature data through the load prediction model; correct the initial cooling load demand data according to the device data and the second temperature data corresponding to the refrigeration device to obtain the cooling load demand data. The second temperature data can be used to describe the temperature conditions inside and outside the room where the refrigeration device is located. The refrigeration device can control the temperature sensor to collect the second temperature data. Optionally, the temperature sensor can be the same temperature sensor as the one that collects the first temperature data, or it can be a temperature sensor different from the one that collects the first temperature data. Since the initial cooling load demand data calculated by the load prediction model may not be accurate enough, the initial cooling load data can be corrected according to the device data and the second temperature data, thereby improving the accuracy of the cooling load demand data. Among them, the device data corresponding to the refrigeration device can be data used to describe the operation of the refrigeration device, and the device data corresponding to the refrigeration device can include the operating power, the output load percentage, and the water pump delivery coefficient. The operating power can be used to describe the power used by the refrigeration device during operation. The output load percentage can be used to describe the operating state of the refrigeration device, and the output compliance percentage can be expressed according to the quotient of the actual power of the refrigeration device and the rated power. The water pump delivery coefficient can be used to reflect the cold or heat delivery efficiency of the refrigeration equipment. The water pump delivery coefficient is the ratio of the cold or heat delivered by the water pump in the refrigeration equipment to the water pump power consumption. Furthermore, the refrigeration equipment can correct the initial cold load demand data according to one or more equipment data and the second temperature data to obtain the cold load demand data. The refrigeration equipment corrects the initial cold load demand data according to the equipment data corresponding to the refrigeration equipment and the second temperature data to obtain the cold load demand data, which can further improve the rationality of the cold load demand data, thereby improving the intelligence of the operation of the refrigeration equipment.

[0052] In some embodiments, the refrigeration equipment can input the first temperature data into the load prediction model to obtain the initial cooling load demand data, and correct the initial cooling load demand data to obtain the cooling load demand data. The load prediction model in the refrigeration equipment can be trained based on the sample first temperature data set. The refrigeration equipment can obtain the sample first temperature data set; the sample first temperature data set includes multiple sample first temperature data sets and the initial cooling load demand data corresponding to each sample first temperature data set; the sample first temperature data set is input into the load prediction model to be trained, and the load prediction model to be trained obtains the predicted cooling load demand data corresponding to each sample first temperature data according to each sample first temperature data, and according to the error between the initial cooling load demand data corresponding to each sample first temperature data and the predicted cooling load demand data corresponding to each sample first temperature data, the model parameters of the load prediction model are adjusted until the error is less than the error threshold to obtain a trained load prediction model.

[0053] Step S103, according to the cooling load demand data, the operating parameters of the refrigeration equipment are adjusted, and the power output by the temperature difference power generation device is called to feed back to the refrigeration equipment or to store energy. The temperature difference power generation device includes a plurality of cold source channels and heat source channels, and the cold source channels and the heat source channels are orthogonally arranged.

[0054] In some embodiments, the refrigeration device controls the refrigeration device to operate at an operating power corresponding to the cooling load demand data according to the cooling load demand data. The refrigeration device can find the operating parameters corresponding to the cooling load demand data according to the cooling load demand data, and control the refrigeration device to operate according to the operating parameters. Optionally, the cooling load demand data can also be obtained according to a user instruction input by a user. The refrigeration device obtains the user instruction input by the user, and calculates the corresponding cooling load demand data according to the user instruction, thereby adjusting the operating parameters of the refrigeration device according to the cooling load demand data, thereby enabling the user to control the refrigeration device according to the cooling demand, and further improving the intelligence of the operation of the refrigeration device.

[0055] As an optional implementation, before obtaining new cooling load demand data, the refrigeration device can be controlled to operate at an operating power corresponding to the cooling load demand data according to the current cooling load demand data. After the refrigeration device obtains the new cooling load demand data, the operating parameters of the refrigeration device can be readjusted according to the new cooling load demand data.

[0056] In some embodiments, the refrigeration equipment may be provided with a thermoelectric power generation device, which can generate electricity to provide electricity for the operation of the refrigeration equipment. Specifically, the thermoelectric power generation device can generate electricity by recycling the waste heat generated during the operation of the refrigeration equipment, thereby saving the electricity required for the operation of the refrigeration equipment. At the same time, the thermoelectric power generation device includes a plurality of cold source channels and heat source channels, and the cold source channels and the heat source channels are arranged orthogonally, which can increase the contact area between the cold source channels and the heat source channels, thereby utilizing the largest possible temperature difference to generate electricity, which can ensure a high conversion rate of waste heat into electricity, thereby improving the energy conversion rate of the thermoelectric power generation device.

[0057] In an embodiment of the present application, first temperature data collected by a temperature sensor is obtained; based on the first temperature data, cooling load demand data is predicted; based on the cooling load demand data, the operating parameters of the refrigeration equipment are adjusted. The refrigeration equipment can predict the cooling load demand data based on the first temperature data collected by the temperature sensor, can preliminarily determine the operating parameters of the refrigeration equipment, and adjust the operating parameters of the refrigeration equipment based on the cooling load demand data, thereby improving the intelligence of the operation of the refrigeration equipment.

[0058] Figure 2 Schematic diagram of a control process of a temperature difference power generation device disclosed in the embodiment of the present application. Figure 2 As shown, the process of the temperature difference power generation device may also include the following steps:

[0059] Step S201, detecting the output power of the temperature difference power generation device.

[0060] In some embodiments, the refrigeration equipment may include a thermoelectric power generation device, which can generate electricity using waste heat generated when the refrigeration equipment is running. The thermoelectric power generation device contains thermoelectric materials, which can convert heat energy into electrical energy. Figure 3 is a schematic diagram of the structure of a refrigeration device provided with a temperature difference power generation device in an embodiment, such as Figure 3As shown, the refrigeration equipment may include a cooling tower 01, an upper exhaust pipe 02, a compressor 03, a compressor motor 04, a power transmission device 05, a first cooling water pipe 06, a lower exhaust pipe 07, a condenser outlet pipe 08, a condenser 09, a second cooling water pipe 10 and a thermoelectric power generation device 11. The refrigeration equipment may use the exhaust of the compressor 03 as a heat source, and the ambient air or cooling water where the refrigeration equipment is located as a cold source to provide a temperature difference for the thermoelectric power generation device 11, drive the transport of carriers in the thermoelectric material, and realize thermoelectric conversion. When the high-temperature and high-pressure gas refrigerant and air discharged from the compressor 03 flow through the hot end and the cold end of the thermoelectric power generation device 11 respectively, a temperature difference is generated at both ends of the thermoelectric power generation device, which can meet the requirements of thermoelectric power generation. The waste heat of the refrigeration equipment is converted into electrical energy by the thermoelectric power generation device 11, and is provided to the compressor motor 04 for use, reducing the power consumption demand of the refrigeration equipment to obtain electrical energy from the power grid, thereby realizing waste heat utilization and improving the energy efficiency ratio of the refrigeration equipment. Specifically, the refrigeration equipment can connect the upper exhaust pipe 02 and the lower exhaust pipe 07 of the compressor 03 to the temperature difference power generation device 11, and the temperature difference power generation device 11 is also connected between the first cooling water pipe 06 and the second cooling water pipe 10 of the cooling tower 01.

[0061] When the refrigeration equipment is in operation, the temperature of the compressor 03 gradually increases, and the high-temperature exhaust gas of the compressor 03 enters the thermoelectric power generation device 11 through the upper exhaust pipe 02 and is discharged to the condenser 09 through the lower exhaust pipe 07. The cold water of the cooling tower 01 enters the thermoelectric power generation device 11 through the first cooling water pipe 06, and enters the condenser 09 through the second cooling water pipe 10. The cold water of the cooling tower 01 and the high-temperature exhaust gas of the compressor 03 form a temperature difference in the thermoelectric power generation device 11, and direct current is generated by the thermoelectric power generation device 11. The direct current is input to the compressor motor 04 through the power transmission device 05. The input power of the compressor motor 04 consists of two parts, one part comes from the external power supply, that is, the power provided by the power grid to which the refrigeration equipment is connected, and the other part comes from the power generated by the thermoelectric power generation device 11. Compared with the traditional refrigeration equipment, due to the input power of the thermoelectric power generation device 11, the power supply from the external power grid is significantly reduced, thereby saving energy consumption.

[0062] As an optional embodiment, the refrigeration equipment can detect the output power of the temperature difference power generation device at a preset time interval. The time interval may be different from the time interval for the temperature sensor to collect the first temperature data, or may be the same as the time interval for the temperature sensor to collect the first temperature data, which is not limited here.

[0063] In some embodiments, the thermoelectric power generation device includes a plurality of cold source channels and heat source channels, and the cold source channels and the heat source channels are arranged orthogonally. Among them, the cold source channel in the thermoelectric power generation device is a channel for conveying substances with lower temperatures, such as condensed water, etc. The heat source channel is a channel for conveying substances with higher temperatures, such as high-temperature exhaust gas from a compressor, etc. The cold source channel and the heat source channel are arranged orthogonally, that is, in the thermoelectric power generation device, the arrangement of the cold source channel and the heat source channel is parallel and spaced from each other. For example, assuming that position A, position B and position C are provided with cold source channels or heat source channels, and the three positions are arranged in order, then position A can be placed with cold source channel A, position B can be placed with heat source channel A, and position C can be placed with cold source channel B, so as to form an arrangement in which the cold source channel and the heat source channel are spaced from each other. The flow directions of the cold source fluid and the heat source fluid are orthogonal. Specifically, the thermoelectric power generation device can generate electricity through the waste heat generated when the refrigeration equipment is running, and the thermoelectric power generation device includes a thermoelectric power generation sheet, a fluid channel, a collector, a radiator, an electrode and an external load. In order to achieve a large-scale power generation capacity that can be used by the unit system, the thermoelectric power generation device in the refrigeration equipment is integrated by a large number of thermoelectric power generation chips in series and parallel. The waste heat generated by the operation of the refrigeration equipment is collected and input into the thermoelectric power generation device to generate electricity, and the DC-AC conversion is realized using components such as inverters. The thermoelectric power generation device can generate electricity from the waste heat generated by the operation of the refrigeration equipment, which can improve the utilization rate of energy and thus save the energy usage of the refrigeration equipment. Figure 4 is a schematic diagram of the structure of a temperature difference power generation device in an embodiment, such as Figure 4As shown, several thermoelectric power generation sheets are arranged in rows and columns to form a layer and are connected in series; several layers of the above-mentioned power generation sheets are arranged in a manner of hot end to hot end and cold end to cold end, and are connected in parallel; a certain interlayer spacing is set between each hot end or cold end, which is a fluid channel, wherein the hot end relative to the channel is a heat source fluid channel, and the cold end relative to the channel is a cold end fluid channel, and the flow directions of the hot and cold fluids in the channel are orthogonal. Specifically, 101-1 and 102-1 are cold source fluid partitions, which form a cold source fluid passage 103-1; 104-1 and 105-1 are hot source fluid partitions, which form a hot source fluid passage 106-1. The thermoelectric power generation sheet 107-1 is arranged between the cold source partition 102-1 and the hot source partition 104-1, and a voltage is formed between 102-1 and 104-1 due to the temperature difference between 102-1 and 104-1. Similarly, another cold source fluid passage 103-2 is formed between 102-2 and 101-2, another hot source fluid passage is formed between 104-2 and 105-2, and a temperature difference is formed between 105-1 and 102-2, because 105-1 is the hot end and 102-2 is the cold end, and a voltage is generated through the temperature difference power generation sheet 107-2. 201-1, 201-2, 201-3, 201-4 are wires drawn from the cold source fluid partition, which are gathered at 201. 202-1, 202-2, 202-3, 202-4 are wires drawn from the hot source fluid partition, which are gathered at 202, so that a voltage difference is formed between 202 and 202.

[0064] Step S202: If the output power of the temperature difference power generation device is less than a preset power threshold, the stored power in the energy storage device is called.

[0065] Step S203: If the output power of the temperature difference power generation device is greater than or equal to a preset power threshold, the energy storage device is charged.

[0066] As an optional embodiment, the refrigeration equipment may also be provided with an energy storage device to store the electric energy output from the thermoelectric power generation device. Specifically, the energy storage device may be a lithium-ion battery, a lead-acid battery, etc., which is not limited here. If the output power of the thermoelectric power generation device is less than the preset power threshold, it indicates that the waste heat generated by the current refrigeration equipment is not much, and the electric energy output by the thermoelectric power generation device cannot maintain the normal operation of the refrigeration equipment. Therefore, the stored power in the energy storage device can be called to enable the refrigeration equipment to operate normally. Further, if the electric energy stored in the energy storage device is also insufficient, the electric energy in the power grid to which the refrigeration equipment is connected can be used to maintain the normal operation of the refrigeration equipment. If the output power of the thermoelectric power generation device is greater than or equal to the preset power threshold, it indicates that the waste heat generated by the current refrigeration equipment is relatively large, and the electric energy output by the thermoelectric power generation device can maintain the normal operation of the refrigeration equipment, and there is also additional electric energy. Therefore, these additional electric energies can be transmitted to the temperature energy storage device to improve the energy utilization rate of the refrigeration equipment.

[0067] In an embodiment of the present application, the refrigeration equipment detects the output power of the thermoelectric power generation device. If the output power of the thermoelectric power generation device is less than a preset power threshold, the stored power in the energy storage device is called upon. If the output power of the thermoelectric power generation device is greater than or equal to the preset power threshold, the energy storage device is charged, which can greatly save the energy usage of the refrigeration equipment, thereby improving the energy utilization rate of the refrigeration equipment.

[0068] See also Figure 5 , Figure 5 Schematic diagram of a refrigeration equipment control device disclosed in an embodiment of the present application. The device can be applied to refrigeration equipment. Figure 5 As shown, the refrigeration equipment control device 500 may include: an acquisition module 501 , a prediction module 502 , and an adjustment module 503 .

[0069] A first acquisition module 501 is used to acquire first temperature data collected by a temperature sensor;

[0070] The load prediction module 502 is used to predict the cooling load demand data according to the first temperature data;

[0071] The operation adjustment module 503 is used to adjust the operation parameters of the refrigeration equipment according to the cooling load demand data, and call the power output by the temperature difference power generation device to feed back the refrigeration equipment or store energy. The temperature difference power generation device is integrated by a large number of temperature difference power generation sheets, which include multiple cold source channels and heat source channels. The cold source channels and the heat source channels are arranged orthogonally.

[0072] In one embodiment, the prediction module 502 further includes a load calculation unit:

[0073] The load calculation unit is used to predict the cooling load demand data according to the first temperature data by using a trained load prediction model.

[0074] In one embodiment, the refrigeration equipment control device 500 further includes a second acquisition module:

[0075] A second acquisition module, used to acquire device data corresponding to the refrigeration device and second temperature data;

[0076] The load calculation unit is further used to obtain initial cooling load demand data according to the first temperature data through a load prediction model;

[0077] The initial cooling load demand data is corrected according to the equipment data corresponding to the refrigeration equipment and the second temperature data to obtain the cooling load demand data.

[0078] In one embodiment, the refrigeration equipment control device 500 further includes a sample acquisition module and a model training module:

[0079] The sample acquisition module is used to acquire a sample first temperature data set; the sample first temperature data set includes a plurality of sample first temperature data sets and initial cooling load demand data corresponding to each sample first temperature data set;

[0080] The model training module is used to input the sample first temperature data set into the load prediction model to be trained, and obtain the predicted cooling load demand data corresponding to each sample first temperature data through the load prediction model to be trained according to each sample first temperature data. According to the error between the initial cooling load demand data corresponding to each sample first temperature data and the predicted cooling load demand data corresponding to each sample first temperature data, the model parameters of the load prediction model are adjusted until the error is less than the error threshold to obtain a trained load prediction model.

[0081] In one embodiment, the operation adjustment module 503 is further configured to control the refrigeration equipment to operate at an operating power corresponding to the cooling load demand data according to the cooling load demand data.

[0082] In one embodiment, the refrigeration equipment control device 500 further includes a power detection module, a power calling module and a power storage module:

[0083] A power detection module, used to detect the output power of the temperature difference power generation device;

[0084] A power calling module, used to call the stored power in the energy storage device if the output power of the temperature difference power generation device is less than a preset power threshold;

[0085] The power storage module is used to charge the energy storage device if the output power of the temperature difference power generation device is greater than or equal to a preset power threshold.

[0086] In one embodiment, the temperature difference power generation device generates electricity through waste heat generated when the refrigeration equipment is in operation. The temperature difference power generation device includes multiple cold source channels and hot source channels, and the cold source channels and the hot source channels are arranged orthogonally.

[0087] See also Figure 6 , Figure 6 Schematic diagram of the structure of an electronic device disclosed in the embodiment of the present application. Figure 6 As shown, the electronic device 600 may include:

[0088] A memory 601 storing executable program codes;

[0089] a processor 602 coupled to the memory 601;

[0090] The processor 602 calls the executable program code stored in the memory 601 to execute any refrigeration equipment control method disclosed in the embodiments of the present application.

[0091] An embodiment of the present application discloses a computer-readable storage medium storing a computer program, wherein when the computer program is executed by the processor, the processor implements any one of the refrigeration equipment control methods disclosed in the embodiment of the present application.

[0092] The embodiments of the present application disclose a computer program product, including a computer program, and the computer program can be executed by a processor to implement the methods described in the above embodiments.

[0093] It should be understood that "one embodiment" or "an embodiment" mentioned throughout the specification means that specific features, structures or characteristics related to the embodiment are included in at least one embodiment of the present application. Therefore, "in one embodiment" or "in an embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner. Those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present application.

[0094] In the various embodiments of the present application, it should be understood that the size of the serial numbers of the above-mentioned processes does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0095] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0096] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0097] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-accessible memory. Based on this understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product, which is stored in a memory and includes several requests for a computer device (which can be a personal computer, a server or a network device, etc., specifically a processor in a computer device) to perform some or all of the steps of the above-mentioned methods of various embodiments of the present application.

[0098] Those skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0099] The above is a detailed introduction to a refrigeration equipment control method, device, electronic device and storage medium disclosed in the embodiments of the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and core ideas of the present application. At the same time, for those of ordinary skill in the art, according to the ideas of the present application, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as limiting the present application.

Claims

1. A refrigeration equipment control method, characterized in that: Applied to a refrigeration device, the refrigeration device is provided with a temperature sensor and a temperature difference power generation device, the temperature difference power generation device uses the waste heat generated by the operation of the refrigeration device to form a temperature difference and generate electricity, the method comprises: Acquire first temperature data collected by the temperature sensor; predicting cooling load demand data according to the first temperature data; According to the cooling load demand data, the operating parameters of the refrigeration equipment are adjusted, and the power output by the temperature difference power generation device is called to feed back to the refrigeration equipment or to store energy. The temperature difference power generation device is integrated by a large number of temperature difference power generation sheets, which include multiple cold source channels and heat source channels. The cold source channels and the heat source channels are arranged orthogonally.

2. The refrigeration equipment control method according to claim 1, characterized in that: The step of predicting cooling load demand data according to the first temperature data includes: The cooling load demand data is predicted according to the first temperature data using a trained load prediction model.

3. The refrigeration equipment control method according to claim 2, characterized in that: Before predicting the cooling load demand data according to the first temperature data using the trained load prediction model, the method further includes: Acquire device data and second temperature data corresponding to the refrigeration device; The step of predicting the cooling load demand data according to the first temperature data by using the trained load prediction model includes: Obtaining initial cooling load demand data according to the first temperature data by using the load prediction model; The initial cooling load demand data is corrected according to the equipment data corresponding to the refrigeration equipment and the second temperature data to obtain the cooling load demand data.

4. The refrigeration equipment control method according to claim 3, characterized in that: Before acquiring the first temperature data collected by the temperature sensor, the method further includes: Acquire a sample first temperature data set; the sample first temperature data set includes a plurality of sample first temperature data sets and initial cooling load demand data corresponding to each sample first temperature data set; The sample first temperature data set is input into the load prediction model to be trained, and the load prediction model to be trained obtains the predicted cooling load demand data corresponding to each sample first temperature data according to each sample first temperature data. According to the error between the initial cooling load demand data corresponding to each sample first temperature data and the predicted cooling load demand data corresponding to each sample first temperature data, the model parameters of the load prediction model are adjusted until the error is less than the error threshold, so as to obtain a trained load prediction model.

5. The refrigeration equipment control method according to claim 1, characterized in that: The operating parameters include operating power; and adjusting the operating parameters of the refrigeration equipment according to the cooling load demand data includes: According to the cooling load demand data, the refrigeration equipment is controlled to operate at an operating power corresponding to the cooling load demand data.

6. The refrigeration equipment control method according to claim 1, characterized in that: The refrigeration equipment further includes an energy storage device, and the method further includes: detecting the output power of the temperature difference power generation device; If the output power of the temperature difference power generation device is less than a preset power threshold, the stored power in the energy storage device is called; If the output power of the temperature difference power generation device is greater than or equal to a preset power threshold, the energy storage device is charged.

7. The refrigeration equipment control method according to claim 6, characterized in that: The temperature difference power generation device generates electricity through waste heat generated when the refrigeration equipment is in operation.

8. A refrigeration equipment control device, characterized in that: Applied to refrigeration equipment, the refrigeration equipment is provided with a temperature sensor and a temperature difference power generation device, the temperature difference power generation device uses the waste heat generated by the operation of the refrigeration equipment to form a temperature difference and generate electricity, the device comprises: A first acquisition module, used to acquire first temperature data collected by the temperature sensor; A load prediction module, used for predicting cooling load demand data according to the first temperature data; An operation adjustment module is used to adjust the operation parameters of the refrigeration equipment according to the cold load demand data, and call the power output by the temperature difference power generation device to feed back the refrigeration equipment or store energy, the temperature difference power generation device includes a plurality of cold source channels and heat source channels, and the cold source channels and the heat source channels are arranged orthogonally.

9. A computer device, characterized in that: The invention comprises a memory and a processor, wherein the memory is used to store at least one program, and the processor is used to load the at least one program to execute the refrigeration equipment control method according to any one of claims 1 to 8.

10. A storage medium storing a program executable by a processor, characterized in that: The program executable by the processor is used to execute the refrigeration equipment control method according to any one of claims 1 to 8 when executed by the processor.

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