Refrigeration system and control method therefor

Abstract

A refrigeration system (1000) and a control method therefor. The refrigeration system (1000) comprises a refrigerant loop and a processing device (30); the refrigerant loop is sequentially connected to a compressor (101), an outdoor heat exchanger (105), a throttling device (107, 108), and an indoor heat exchanger (106); the processing device (30) comprises an acquisition part (31), an identification part (32), and a processing part (33). The acquisition part (31) is configured to acquire detection values of a sensor assembly; the identification part (32) is configured to determine whether there is an abnormal value among the detection values; the processing part (33) is configured to determine, when an abnormal value is identification by the identification part (32), on the basis of the current prediction index and the detection values other than the abnormal value, a correction value corresponding to the abnormal value, calculate a real-time suction superheat degree, and update, when the real-time suction superheat degree is higher than a preset superheat degree, the current prediction index on the basis of the correction value and the detection values other than the abnormal value.

Description

Refrigeration system and control method thereof

[0001] This application claims priority to Chinese patent application No. 202410307323.9, filed on March 18, 2024, the entire contents of which are incorporated herein by reference. Technical Field

[0002] The present disclosure relates to the technical field of air conditioning, and in particular to a refrigeration system and a control method for the refrigeration system. Background Art

[0003] A refrigeration system is a system that uses external energy to transfer heat from a substance (or environment) with a low temperature to a substance (or environment) with a high temperature, and is widely used in many fields. Summary of the Invention

[0004] In order to solve the problem that when the data collected by adjacent sensors is used to replace the data required to be detected by the faulty sensor, the backup plan fails due to the inability to update the algorithm in time, which affects the overall control and usage, the present disclosure designs and provides a refrigeration system and its control method.

[0005] In one aspect, some embodiments of the present disclosure provide a refrigeration system. The refrigeration system includes a refrigerant circuit and a processing device. The refrigerant circuit sequentially connects a compressor, an outdoor heat exchanger, a throttling device, and an indoor heat exchanger. The processing device includes a collection unit, an identification unit, and a processing unit. The collection unit is configured to collect detection values ​​from a sensor assembly. The sensor assembly includes at least a first pressure sensor and a first temperature sensor disposed on the suction side of the compressor, and a second pressure sensor and a second temperature sensor disposed on the discharge side of the compressor. The identification unit is configured to determine whether an abnormal value exists in the detection values. The processing unit is configured to: when the identification unit identifies an abnormal value, determine a correction value corresponding to the abnormal value based on a current prediction index and detection values ​​other than the abnormal value; calculate a real-time suction superheat while performing control based on the detection values ​​other than the abnormal value and the determined correction value; and update the current prediction index based on the correction value and detection values ​​other than the abnormal value when the real-time suction superheat exceeds a preset superheat.

[0006] On the other hand, some embodiments of the present disclosure provide a refrigeration system. The refrigeration system includes a refrigerant circuit and a processing device. The refrigerant circuit is sequentially connected to a compressor, an outdoor heat exchanger, a throttling device, and an indoor heat exchanger. The processing device includes a collection unit, an identification unit, and a processing unit. The collection unit is configured to collect detection values ​​from a sensor assembly. The sensor assembly includes a first pressure sensor and a first temperature sensor disposed on the intake side of the compressor, and a second pressure sensor and a second temperature sensor disposed on the exhaust side of the compressor. The identification unit is configured to determine whether the detection value of the second temperature sensor is abnormal. The processing unit is configured to: determine an exhaust temperature correction value based on a current prediction index, the detection value of the first temperature sensor, the detection value of the second pressure sensor, and the detection value of the first pressure sensor when the identification unit identifies that the detection value of the second temperature sensor is abnormal; calculate a real-time intake superheat under the condition of control based on the exhaust temperature correction value, the detection value of the first temperature sensor, the detection value of the second pressure sensor, and the detection value of the first pressure sensor; and update the current prediction index based on the exhaust temperature correction value, the detection value of the first temperature sensor, the detection value of the second pressure sensor, and the detection value of the first pressure sensor when the real-time intake superheat is higher than a preset superheat.

[0007] In yet another aspect, some embodiments of the present disclosure provide a refrigeration system. The refrigeration system includes a refrigerant circuit and a processing device. The refrigerant circuit is sequentially connected to a compressor, an outdoor heat exchanger, a throttling device, and an indoor heat exchanger. The processing device includes a collection unit, an identification unit, and a processing unit. The collection unit is configured to collect detection values ​​from a sensor assembly. The sensor assembly includes a first pressure sensor and a first temperature sensor disposed on the intake side of the compressor, and a second pressure sensor and a second temperature sensor disposed on the exhaust side of the compressor. The identification unit is configured to determine whether the detection value of the first temperature sensor is abnormal. The processing unit is configured to: determine an intake temperature correction value based on a current prediction index, the detection value of the second temperature sensor, the detection value of the second pressure sensor, and the detection value of the first pressure sensor when the identification unit identifies that the detection value of the first temperature sensor is abnormal; calculate a real-time intake superheat while performing control based on the intake temperature correction value, the detection value of the second temperature sensor, the detection value of the second pressure sensor, and the detection value of the first pressure sensor; and update the current prediction index based on the intake temperature correction value, the detection value of the second temperature sensor, the detection value of the second pressure sensor, and the detection value of the first pressure sensor when the real-time intake superheat is higher than a preset superheat.

[0008] In yet another aspect, some embodiments of the present disclosure provide a refrigeration system. The refrigeration system includes a refrigerant circuit and a processing device. The refrigerant circuit is sequentially connected to a compressor, an outdoor heat exchanger, a throttling device, and an indoor heat exchanger. The processing device includes a collection unit, an identification unit, and a processing unit. The collection unit is configured to collect detection values ​​from a sensor assembly. The sensor assembly includes a first pressure sensor and a first temperature sensor disposed on the intake side of the compressor, and a second pressure sensor and a second temperature sensor disposed on the exhaust side of the compressor. The identification unit is configured to identify and determine whether the detection value of the second pressure sensor is abnormal. The processing unit is configured to: determine an exhaust pressure correction value based on a current prediction index, the detection value of the second temperature sensor, the detection value of the first temperature sensor, and the detection value of the first pressure sensor when the identification unit identifies that the detection value of the second pressure sensor is abnormal; calculate a real-time intake superheat while performing control based on the detection value of the first temperature sensor, the detection value of the second temperature sensor, the exhaust pressure correction value, and the detection value of the first pressure sensor; and update the current prediction index based on the detection value of the first temperature sensor, the detection value of the second temperature sensor, the exhaust pressure correction value, and the detection value of the first pressure sensor when the real-time intake superheat is higher than a preset superheat.

[0009] In yet another aspect, some embodiments of the present disclosure provide a refrigeration system. The refrigeration system includes a refrigerant circuit and a processing device. The refrigerant circuit is sequentially connected to a compressor, an outdoor heat exchanger, a throttling device, and an indoor heat exchanger. The processing device includes a collection unit, an identification unit, and a processing unit. The collection unit is configured to collect detection values ​​from a sensor assembly. The sensor assembly includes a first pressure sensor and a first temperature sensor disposed on the intake side of the compressor, and a second pressure sensor and a second temperature sensor disposed on the exhaust side of the compressor. The identification unit is configured to determine whether the detection value of the first pressure sensor is abnormal. The processing unit is configured to: determine an intake pressure correction value based on a current prediction index, the detection value of the second temperature sensor, the detection value of the first temperature sensor, and the detection value of the second pressure sensor when it is identified that the detection value of the first pressure sensor is abnormal; calculate a real-time intake superheat while performing control based on the detection value of the first temperature sensor, the detection value of the second temperature sensor, the detection value of the second pressure sensor, and the intake pressure correction value; and update the current prediction index based on the detection value of the first temperature sensor, the detection value of the second temperature sensor, the detection value of the second pressure sensor, and the intake pressure correction value when the real-time intake superheat is higher than a preset superheat.

[0010] On the other hand, some embodiments of the present disclosure provide a control method for a refrigeration system. The method is applied to a refrigeration system. The refrigeration system includes a refrigerant circuit and a processing device, and the refrigerant circuit is connected to a compressor, an outdoor heat exchanger, a throttling device and an indoor heat exchanger in sequence. The method includes: collecting detection values ​​of a sensor assembly; the sensor assembly includes at least a first pressure sensor and a first temperature sensor arranged on the suction side of the compressor, and a second pressure sensor and a second temperature sensor arranged on the exhaust side of the compressor; when an abnormal value is identified, based on the current prediction index and the detection values ​​other than the abnormal value, a correction value corresponding to the abnormal value is determined; when control is performed based on the detection values ​​other than the abnormal value and the determined correction value, the real-time suction superheat is calculated; when the real-time suction superheat is higher than the preset superheat, the current prediction index is updated based on the correction value and the detection values ​​other than the abnormal value.

[0011] The refrigeration system provided in some embodiments of the present disclosure can, through a processing device, infer a correction value based on the current prediction index and other normal detection values ​​when an abnormal value is detected, and when the real-time suction superheat is higher than the preset superheat, update the current prediction index to adapt to different working conditions, thereby avoiding the problem of failure of the backup plan due to the inability to update and iterate the algorithm in a timely manner, thereby affecting the overall control. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] FIG1 is a structural diagram of a refrigeration system according to some embodiments of the present disclosure;

[0013] FIG2 is a structural diagram of another refrigeration system according to some embodiments of the present disclosure;

[0014] FIG3 is a structural diagram of another refrigeration system according to some embodiments of the present disclosure;

[0015] FIG4 is a structural diagram of a processing device in a refrigeration system according to some embodiments of the present disclosure;

[0016] FIG5 is a structural diagram of another processing device in a refrigeration system according to some embodiments of the present disclosure;

[0017] FIG6 is a pressure-enthalpy diagram of a refrigeration system according to some embodiments of the present disclosure;

[0018] FIG7 is a flow chart of a refrigeration system according to some embodiments of the present disclosure;

[0019] FIG8 is another flow chart of a refrigeration system according to some embodiments of the present disclosure;

[0020] FIG9 is another flow chart of a refrigeration system according to some embodiments of the present disclosure;

[0021] FIG10 is another flow chart of a refrigeration system according to some embodiments of the present disclosure;

[0022] FIG11 is another flow chart of a refrigeration system according to some embodiments of the present disclosure;

[0023] FIG12 is another flow chart of a refrigeration system according to some embodiments of the present disclosure;

[0024] FIG13 is another flow chart of a refrigeration system according to some embodiments of the present disclosure;

[0025] FIG14 is another flow chart of a refrigeration system according to some embodiments of the present disclosure;

[0026] FIG15 is another flow chart of a refrigeration system according to some embodiments of the present disclosure;

[0027] FIG. 16 is yet another flow chart of a refrigeration system according to some embodiments of the present disclosure.

[0028] Reference numerals: 10, outdoor unit; 101, compressor; 102, oil separator; 103, gas-liquid separator; 104, switching valve; 105, outdoor heat exchanger; 106, indoor heat exchanger; 1061, first indoor heat exchanger; 1062, second indoor heat exchanger; 107, outdoor electronic expansion valve; 108, indoor electronic expansion valve; 1081, first indoor electronic expansion valve; 1082, second indoor electronic expansion valve; 109, first piping; 110, second piping; 111, pressure reducer; 112, first stop valve; 113, second stop valve; 114, outdoor fan; 115, second temperature sensor; 116, Second pressure sensor; 117, first temperature sensor; 118, first pressure sensor; 119, indoor fan; 1191, first indoor fan; 1192, second indoor fan; 20, indoor unit; 201, first indoor unit; 202, second indoor unit; 30, processing device; 301, processor; 302, non-volatile memory; 303, volatile memory; 304, display device; 305, operating device; 306, communication interface; 307, drive device; 308, bus; 309, storage medium; 310, storage medium; 31, acquisition unit; 32, identification unit; 33, processing unit. DETAILED DESCRIPTION

[0029] The following will be combined with the accompanying drawings to clearly and completely describe some embodiments of the present disclosure. Obviously, the embodiments described are only some embodiments of the present disclosure, not all embodiments. Based on the embodiments provided by the present disclosure, all other embodiments obtained by ordinary technicians in this field are within the scope of protection of the present disclosure.

[0030] Unless the context requires otherwise, throughout the specification and claims, the term "comprise" and its other forms, such as the third person singular form "comprises" and the present participle form "comprising", are to be interpreted as open and inclusive, that is, "including, but not limited to". In the description of the specification, the terms "one embodiment", "some embodiments", "exemplary embodiments", "example", "specific example" or "some examples" are intended to indicate that the particular features, structures, materials or characteristics associated with the embodiment or example are included in at least one embodiment or example of the present disclosure. The schematic representation of the above terms does not necessarily refer to the same embodiment or example. In addition, the particular features, structures, materials or characteristics may be included in any one or more embodiments or examples in any appropriate manner.

[0031] In the following, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of the technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of some embodiments of the present disclosure, unless otherwise specified, "plurality" means two or more.

[0032] When describing some embodiments, the word "connected" and its derivatives may be used. The term "connected" should be understood broadly. For example, "connected" can mean fixed, removable, or integrated; it can be directly connected or indirectly connected through an intermediary. The embodiments disclosed herein are not necessarily limited to the contents of this document.

[0033] “At least one of A, B and C” has the same meaning as “at least one of A, B or C” and both include the following combinations of A, B and C: A only, B only, C only, the combination of A and B, the combination of A and C, the combination of B and C, and the combination of A, B and C.

[0034] As used herein, the term "if" is optionally interpreted to mean "when" or "upon" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrases "if it is determined that" or "if [stated condition or event] is detected" are optionally interpreted to mean "upon determining" or "in response to determining" or "upon detecting [stated condition or event]" or "in response to detecting [stated condition or event]," depending on the context.

[0035] The use of "adapted to" or "configured to" herein is intended to be open and inclusive language that does not exclude devices adapted or configured to perform additional tasks or steps.

[0036] Additionally, the use of “based on” is meant to be open and inclusive, as a process, step, calculation, or other action “based on” one or more stated conditions or values ​​may, in practice, be based on additional conditions or values ​​beyond those stated.

[0037] As used herein, "about," "substantially," or "approximately" includes the stated value and an average value that is within an acceptable range of deviation from the particular value as determined by one of ordinary skill in the art taking into account the measurements in question and the errors associated with the measurement of the particular quantity (i.e., the limitations of the measurement system).

[0038] Refrigeration systems (such as air-source heat pumps or central cooling systems) are becoming increasingly larger, their control systems are becoming more complex, and they require an increasing number of sensors (such as temperature and pressure sensors). Over extended periods of use, sensor failures, such as abnormal readings or sensor probe detachment, are inevitable. These sensor failures can not only degrade refrigeration system performance but can also cause system downtime, impacting user experience.

[0039] The related art's approach to the above-mentioned problem is to use adjacent sensors to replace the faulty sensors, thereby using the data collected by the adjacent sensors to replace the data required to be detected by the faulty sensors. However, this approach has some limitations, which are mainly reflected in the strong correlation between factors such as the system operating status, the online status of the indoor and outdoor units, the operating load, and the actual installation scenario. In particular, the detection accuracy of some adjacent sensors is sufficient to fully meet the replacement requirements, but the detection accuracy of many adjacent sensors does not meet the replacement requirements. Moreover, in the case of changes in cooling, heating, seasonal changes, indoor unit startup load, indoor unit load, outdoor unit load, building envelope structure, etc., the algorithm corresponding to this method cannot be updated and iterated in a timely manner, resulting in the failure of the backup plan, affecting the overall control, and then causing control abnormalities and shutdowns, which has a great negative impact on the user experience.

[0040] To this end, some embodiments of the present disclosure provide a refrigeration system. This refrigeration system, through a processing device, can, when an abnormal value is detected, estimate a correction value based on the current prediction index and other normal detection values. Furthermore, when the real-time suction superheat exceeds a preset superheat (i.e., a baseline steady-state superheat), the system updates the current prediction index to adapt to different operating conditions. This avoids the problem of backup plans failing due to the algorithm's inability to update and iterate in a timely manner, thus affecting overall control. The following describes the refrigeration system in some embodiments of the present disclosure.

[0041] FIG1 is a structural diagram of a refrigeration system according to some embodiments of the present disclosure.

[0042] Refrigeration systems are installed in buildings such as apartments, hotels, office buildings, and residences. In some embodiments, the refrigeration system may be a central refrigeration system. A central refrigeration system can provide a consistent comfort environment for the entire building, rather than just for a single room or area.

[0043] A refrigeration system integrates a refrigeration cycle. A compressor, condenser, throttling device, and evaporator are sequentially connected to form this refrigeration cycle. This refrigeration cycle involves a series of processes, including compression, condensation, expansion, and evaporation, to cool or heat a room. For example, a refrigeration system has a refrigerant circuit that sequentially connects a compressor, an outdoor heat exchanger, a throttling device, and an indoor heat exchanger to circulate the refrigerant through the system.

[0044] Low-temperature, low-pressure refrigerant enters the compressor, which compresses it into high-temperature, high-pressure refrigerant gas and discharges the compressed refrigerant gas. The discharged refrigerant gas flows into the condenser, which condenses the compressed refrigerant into a liquid phase, releasing heat into the surrounding environment through the condensation process.

[0045] The throttling device expands the high-temperature, high-pressure liquid refrigerant condensed in the condenser into a low-pressure liquid. The evaporator evaporates the refrigerant expanded in the throttling device and returns the low-temperature, low-pressure refrigerant gas to the compressor. The evaporator utilizes the latent heat of evaporation to exchange heat with the material being cooled, achieving a cooling effect. Throughout the entire refrigeration cycle, the refrigeration system regulates the temperature of the indoor space.

[0046] In some embodiments, the throttling device may include an indoor electronic expansion valve.

[0047] In some embodiments, as shown in FIG1 , a refrigeration system 1000 includes an outdoor unit 10 (ie, an outdoor unit) and an indoor unit 20 (ie, an indoor unit). The outdoor unit 10 and the indoor unit 20 are connected to each other.

[0048] In some embodiments, as shown in FIG2 , a refrigeration system 1000 includes an outdoor unit 10. The refrigeration system 1000 also includes a plurality of indoor units 20. The outdoor unit 10 and the plurality of indoor units 20 are connected to each other. FIG1 shows one indoor unit (as shown by reference numeral 20 in FIG1 ), and FIG2 shows two indoor units 20 (as shown by reference numerals 201 and 202 in FIG2 ). However, the present disclosure does not limit the number of indoor units 20, and more indoor units 20 can be arranged in a refrigeration system in the same manner as the indoor unit 20 shown in FIG2 .

[0049] In some embodiments, as shown in Figures 1 to 3, the refrigeration system 1000 further includes a first pipe 109 (i.e., a liquid-side pipe). The refrigeration system 1000 also includes a second pipe 110 (i.e., a gas-side pipe). The indoor unit 20 and the outdoor unit 10 are connected via the first pipe 109 and the second pipe 110. The first pipe 109 and the second pipe 110 are used to carry refrigerant, forming a refrigerant circuit with corresponding components, thereby circulating the refrigerant within the refrigerant circuit.

[0050] In some embodiments, as shown in Figures 1 to 3 , the refrigeration system 1000 further includes a first shutoff valve 112 (liquid-side shutoff valve). The first shutoff valve 112 is provided on the first pipe 109. The first shutoff valve 112 is configured to control the opening and closing of the first pipe 109.

[0051] In some embodiments, as shown in Figures 1 to 3 , the refrigeration system 1000 further includes a second shutoff valve 113 (gas-side shutoff valve). The second shutoff valve 113 is provided on the second pipe 110. The second shutoff valve 113 is configured to control the on-off of the second pipe 110.

[0052] The following describes the basic structure and functions of the outdoor unit 10. Using the same system architecture, the number of outdoor units 10 in the refrigeration system 1000 can be expanded to multiple units, each operating in a group. The outdoor unit 10 is configured to correspond to an outdoor electronic expansion valve.

[0053] In some embodiments, as shown in Figures 1 to 3, the outdoor unit 10 refers to a portion of a refrigeration cycle including a compressor 101 and an outdoor heat exchanger 105. The outdoor unit 10 can perform a heating operation or a cooling operation outdoors to provide energy to the indoor unit 20 for increasing or decreasing the indoor temperature.

[0054] The compressor 101 is configured to draw in refrigerant and compress it into a high-temperature, high-pressure refrigerant gas. The side of the compressor 101 where the refrigerant is drawn in is defined as the low-pressure side, and the side where the refrigerant is discharged is defined as the high-pressure side. The speed of the compressor 101 is variably controlled by an inverter.

[0055] The outdoor heat exchanger 105 is configured to function as a condenser in cooling operation and as an evaporator in heating operation. The outdoor heat exchanger 105 can exchange heat with the air guided by the outdoor fan 114 to cause the refrigerant flowing in the outdoor heat exchanger 105 to undergo a phase change (condensation or evaporation).

[0056] In some embodiments, as shown in Figures 1 to 3, the outdoor unit 10 further includes an outdoor electronic expansion valve 107. The outdoor electronic expansion valve 107 is configured to reduce the pressure of the refrigerant and expand the refrigerant. In heating mode, the outdoor electronic expansion valve 107 is close to the low-pressure side, and in cooling mode, the outdoor electronic expansion valve 107 is close to the high-pressure side. The opening of the outdoor electronic expansion valve 107 is adjustable to control the flow and pressure of the refrigerant. For example, the opening can be adjusted by the number of steps of the motor inside the electronic expansion valve, and the number of steps refers to the fixed angle that the motor rotates each time it runs. The above-mentioned opening can refer to the size of the open channel of the electronic expansion valve.

[0057] In some embodiments, as shown in Figures 1 to 3, the outdoor unit 10 further includes a gas-liquid separator 103. The gas-liquid separator 103 is disposed on the suction side of the compressor 101 and is a shell-shaped component that separates the refrigerant into gas and liquid and stores the refrigerant. The gas-liquid separator 103 can store excess refrigerant.

[0058] In some embodiments, as shown in Figures 1 to 3, the outdoor unit 10 further includes an outdoor fan 114. The outdoor fan 114 is disposed near the outdoor heat exchanger 105, and the speed of the outdoor fan 114 is controllable. By adjusting the speed of the outdoor fan 114, the flow rate of air heat exchanged with the outdoor heat exchanger 105 can be changed. The outdoor fan 114 can be an axial flow fan, a crossflow fan, or other optional fan.

[0059] In some embodiments, as shown in Figures 1 and 2 , the outdoor unit 10 further includes a switching valve 104. The switching valve 104 is connected to the refrigerant circuit and is configured to switch the flow direction of the refrigerant in the refrigerant circuit. For example, as shown in Figures 1 and 2 , the switching valve 104 is a four-way valve having four ports C, D, E, and S.

[0060] In some embodiments, as shown in FIG. 1 to FIG. 3 , the outdoor unit 10 further includes a liquid storage tank.

[0061] In some embodiments, as shown in Figures 1 to 3, the outdoor unit 10 further includes an oil separator 102. The function of the oil separator 102 in the refrigeration system 1000 is to separate the lubricating oil from the refrigerant. Since the compressor 101 requires lubricating oil to reduce friction and wear to ensure operation, the lubricating oil will mix with the refrigerant when the compressor 101 is working. The oil separator 102 can separate the lubricating oil from the refrigerant through the principle of physical separation (for example, by centrifugal force or gravity). The separated lubricating oil can be recovered and recycled, while the refrigerant continues to flow.

[0062] In some embodiments, as shown in Figures 1 to 3, the outdoor unit 10 further includes a pressure reducer 111 (i.e., an oil return capillary tube). The function of the pressure reducer 111 in the refrigeration system 1000 is to recover lubricating oil and direct it back to the compressor 101. For example, through the principles of adsorption and guidance, the pressure reducer 111 recovers deposited lubricating oil and directs it back to the lubrication system of the compressor 101, thereby recycling the lubricating oil. The pressure reducer 111 may include a capillary tube, which is typically a thin, long copper tube.

[0063] When the refrigeration system 1000 cools a room, the outdoor unit 10 forms a corresponding refrigerant circuit. In this case, along the refrigerant flow direction, the compressor 101, the switching valve 104 (e.g., the passage between ports D and C of a four-way valve), the outdoor heat exchanger 105, the outdoor electronic expansion valve 107, the first piping 109, the indoor unit 20, the second piping 110, the switching valve 104 (e.g., the passage between ports E and S of a four-way valve), the gas-liquid separator 103, and the compressor 101 are sequentially connected.

[0064] When the refrigeration system 1000 is heating a room, the outdoor unit 10 forms a corresponding refrigerant circuit. In this case, along the refrigerant flow direction, the compressor 101, the switching valve 104 (e.g., the passage between ports D and E of a four-way valve), the second piping 110, the indoor unit 20, the first piping 109, the outdoor electronic expansion valve 107, the outdoor heat exchanger 105, the switching valve 104 (e.g., the passage between ports C and S of a four-way valve), the gas-liquid separator 103, and the compressor 101 are sequentially connected.

[0065] The structure and function of the indoor unit 20 will be described below by taking the indoor unit 20 including the first indoor unit 201 and the second indoor unit 202 as an example.

[0066] The indoor unit 20 uses the energy generated by the outdoor unit 10 to increase or decrease the indoor temperature to perform cooling or heating. The indoor unit 20 includes an indoor heat exchanger 106. The indoor unit 20 also includes an indoor electronic expansion valve 108. The indoor heat exchanger 106 is connected to the indoor electronic expansion valve 108.

[0067] For example, as shown in FIG. 2 , the first indoor unit 201 includes a first indoor heat exchanger 1061 and a first indoor electronic expansion valve 1081 connected thereto, and the second indoor unit 202 includes a second indoor heat exchanger 1062 and a second indoor electronic expansion valve 1082 connected thereto.

[0068] The first indoor heat exchanger 1061 and the second indoor heat exchanger 1062 function as a condenser in a heating mode and function as an evaporator in a cooling mode.

[0069] The first indoor electronic expansion valve 1081 and the second indoor electronic expansion valve 1082 are configured to reduce the pressure of the refrigerant and expand the refrigerant.

[0070] The openings of the first indoor electronic expansion valve 1081 and the second indoor electronic expansion valve 1082 are adjustable to control the flow and pressure of the refrigerant. For example, the openings can be adjusted by the number of steps of the motor inside the electronic expansion valve, which refers to the fixed angle of rotation of the motor each time it operates.

[0071] It should be noted that the throttling device of the refrigeration system 1000 includes at least one of an outdoor electronic expansion valve and an indoor electronic expansion valve.

[0072] In some embodiments, as shown in Figures 1 to 3, the indoor unit 20 further includes an indoor fan 119. For example, as shown in Figure 2, the first indoor unit 201 further includes a first indoor fan 1191, and the second indoor unit 202 further includes a second indoor fan 1192. The first indoor fan 1191 and the second indoor fan 1192 can be axial flow fans, cross flow fans, or other optional fans.

[0073] In some embodiments, as shown in FIG. 3 , the refrigeration system 1000 further includes a processing device 30 .

[0074] Figure 4 is a block diagram of the hardware configuration of processing device 30. As shown in Figure 4, processing device 30 includes a processor 301. Processing device 30 also includes volatile memory 303. Processing device 30 also includes non-volatile memory 302. Processor 301 can be a dedicated processor, a central processing unit (CPU), etc. Processor 301 can access a storage component to execute instructions or application programs stored in the storage component to implement related functions.

[0075] The processing device 30 further includes a display device 304. The display device 304 is used to display various information.

[0076] The processing device 30 further includes an operating device 305. The operating device 305 is used to perform various operations. The processing device 30 further includes a communication interface 306.

[0077] The processing device 30 further includes a driving device 307 . The driving device is used to control hardware interrupts interacting with the storage medium 310 .

[0078] The processing device 30 further includes a bus 308 . The processor 301 , the volatile memory 303 , the non-volatile memory 302 , the display device 304 , the operating device 305 , the communication interface 306 , and the driving device 307 are interconnected via the bus 308 .

[0079] In some embodiments, the storage medium (e.g., the component indicated by reference numeral 310 in FIG. 4 ) includes a medium that records information optically, electrically, or magnetically, such as a compact disc read-only memory (CD-ROM), a floppy disk, or a magneto-optical disk. The storage medium (e.g., the component indicated by reference numeral 309 in FIG. 4 ) may also be a semiconductor memory that records information electrically, such as a read-only memory (ROM) or a flash memory.

[0080] In some embodiments, the processing device 30 may be an outdoor controller in the outdoor unit 10 of the refrigeration system 1000. For example, the processing device 30 is a system-on-board based on a microcontroller unit (MCU).

[0081] The functional configuration of the processing device 30 will be described below with reference to the drawings.

[0082] In some embodiments, as shown in FIG5 , the processing device 30 includes a collection unit 31. The collection unit 31 is configured to collect detection values ​​of the sensor assembly. As shown in FIG1 to FIG3 , the sensor assembly includes a first pressure sensor 118 (i.e., a suction pressure sensor) and a first temperature sensor 117 (i.e., a suction temperature sensor) provided on the suction side (i.e., the low-pressure side) of the compressor 101, and a second pressure sensor 116 (i.e., a discharge pressure sensor) and a second temperature sensor 115 (i.e., a discharge temperature sensor) provided on the discharge side (i.e., the high-pressure side) of the compressor 101. The first pressure sensor 118 is configured to detect the suction pressure of the compressor 101, the first temperature sensor 117 is configured to detect the suction temperature of the compressor 101, the second pressure sensor 116 is configured to detect the discharge pressure of the compressor 101, and the second temperature sensor 115 is configured to detect the discharge temperature of the compressor 101.

[0083] In some embodiments, as shown in Fig. 5 , the processing device 30 further includes an identification unit 32. The identification unit 32 is configured to determine whether there is an abnormal value in the detection value of the sensor component.

[0084] In some embodiments, the identification unit 32 can determine whether there is an abnormal value in the detection value by comparing the detection value of any sensor with the corresponding expected range (i.e., the normal operating range). If the detection value output by the sensor exceeds the expected range, the identification unit 32 determines that there is an abnormal value in the detection value, which indicates that the sensor may be faulty.

[0085] In some embodiments, the identification unit 32 may also monitor the signal quality of any sensor output to determine whether there are any abnormal values ​​in the detection value. In some examples, signal quality may be determined by detecting the signal-to-noise ratio or signal drift. If the signal quality is abnormal, the identification unit 32 may determine that there is an abnormal value in the detection value, which indicates that the sensor may be faulty. For example, if the signal-to-noise ratio of the signal is less than a preset threshold, the identification unit 32 may determine that there is an abnormal value in the detection value.

[0086] In some embodiments, the identification unit 32 may also determine whether there is an abnormal value in the detection value by monitoring whether any sensor outputs a fault code. If any sensor outputs a fault code, the identification unit 32 determines that there is an abnormal value in the detection value, which indicates that the sensor may be faulty.

[0087] In some embodiments, the identification unit 32 may be configured with a fault detection model for learning the regularity of detection data of any sensor, and then identifying fault data that does not conform to the regularity, ie, abnormal values, through the fault detection model.

[0088] In some embodiments, the identification unit 32 may also determine whether there is an abnormal value in the detection value by comparing the change in the detection value of any sensor with the corresponding preset value.

[0089] In some embodiments, as shown in FIG5 , the processing device 30 further includes a processing unit 33. When the identification unit 32 identifies an outlier, the processing unit 33 is configured to determine a correction value corresponding to the outlier based on the current prediction index and the detected values ​​other than the outlier. It should be noted that any of the acquisition unit 31, the identification unit 32, and the processing unit 33 can be implemented by the processor 301 executing a program.

[0090] For example, in the ideal gas state equation, the compression process of the compressor can be described by the polytropic index. For polytropic processes, the following form of polytropic process state equation is usually used: PV n =constant (1)

[0091] In formula (1), P is pressure, V is volume, n is the polytropic index, and constant is a constant. The ideal gas state equation describes the relationship between pressure and volume during the compression process of a compressor. Here, polytropic processes refer to four typical thermodynamic processes: constant volume process, constant pressure process, constant temperature process, and adiabatic process. In these four typical thermodynamic processes, a certain state parameter remains unchanged, or there is no heat exchange between the thermodynamic system and the outside world (i.e., an adiabatic process). However, actual processes often involve changes in all parameters and are not completely adiabatic.

[0092] The polytropic index is usually related to the nature of the process. According to engineering thermodynamics, the compression process of a compressor can be approximated as an adiabatic compression process. For an adiabatic compression process, the polytropic index n is a constant. The polytropic index n can also be expressed by the specific heat ratio γ, as shown in the following formula (2):

[0093] Here, C p is the specific heat capacity at constant pressure, C v The specific heat capacity at constant volume is the amount of heat required to raise the temperature of a substance per unit mass by 1 Kelvin at constant pressure. The specific heat capacity at constant volume is the amount of heat required to raise the temperature of a substance per unit mass by 1 Kelvin at constant pressure.

[0094] The relationship between temperature T and volume V during adiabatic compression can be expressed as the following formula (3): TV γ-1 =constant (3)

[0095] Consider the adiabatic compression process of the compressor, that is, from the suction state to the discharge state;

[0096] In the inhalation state, the following formula is available:

[0097] In the exhaust state, the following formula is available:

[0098] Based on the above formulas, the following formula can be obtained after sorting:

[0099] Here, T d is the exhaust temperature, T s is the suction temperature, P d is the exhaust pressure, P s is the inspiratory pressure, and n is the polytropic index. Based on the polytropic index n, the expression of the prediction index a can be further obtained. For example, the prediction index a can be expressed as That is to say, further sorting out formula (8) can get the following formula:

[0100] In the above formula (9), the exhaust pressure P d and suction pressure P s are absolute pressure, exhaust temperature T d and suction temperature T s Here, absolute pressure refers to the pressure value with absolute vacuum as the starting point.

[0101] From the above formula (9), it can be seen that when the prediction index a is known, the exhaust pressure P of the compressor is d , suction pressure P s , exhaust temperature T d and suction temperature T s There is a unique corresponding relationship between them. Based on the knowledge of any other three parameters, the remaining unknown quantity can be calculated, thus providing a theoretical basis for replacing the detection value required for the faulty sensor.

[0102] For example, the calculation of the unknown quantity can be as follows:

[0103] According to the compressor suction temperature T s , compressor exhaust pressure P d , compressor suction pressure P s , the compressor exhaust temperature T can be calculated d :

[0104] According to the compressor exhaust temperature T d , compressor exhaust pressure P d , compressor suction pressure P s , the compressor suction temperature T can be calculated s :

[0105] According to the compressor suction pressure P s , compressor exhaust temperature T d and compressor suction temperature T s , the compressor exhaust pressure P can be calculated d :

[0106] According to the compressor exhaust pressure P d , compressor exhaust temperature T d and compressor suction temperature T s , the compressor suction pressure P can be calculated s :

[0107] Based on the above principle, when the identification unit 32 identifies an abnormal value, the processing unit 33 can determine a correction value based on the current prediction index and the detection value other than the abnormal value. The correction value may include the compressor exhaust temperature correction value T' d , compressor suction temperature correction value T' s , compressor exhaust pressure correction value P' d and the compressor suction pressure correction value P' s .

[0108] The prediction index calculated according to the above principle can be considered as a theoretical prediction index. In some embodiments, the theoretical prediction index can be a pre-stored constant. The theoretical prediction index can be obtained by the following steps:

[0109] First, set the initial conditions. For example, a simulation is performed with an outdoor ambient temperature of 35°C, an indoor dry-bulb temperature of 27°C, an indoor wet-bulb temperature of 19°C, a 100% indoor and outdoor unit capacity ratio, and 100% theoretical refrigerant capacity. It should be noted that the indoor and outdoor unit capacity ratio can be the ratio of the sum of the rated cooling capacities of all indoor units in a refrigeration system to the rated cooling capacity of the outdoor units. 100% theoretical refrigerant capacity can be understood as the amount of refrigerant required to operate refrigeration system 1000 being the same as the actual amount of refrigerant injected. For example, the refrigerant capacity in refrigeration system 1000 can be roughly equal to the sum of the rated refrigerant capacity of indoor unit 20, the rated refrigerant capacity of outdoor unit 10, and the rated refrigerant capacity of the piping between indoor unit 20 and outdoor unit 10. The dry-bulb temperature refers to the value read on a dry-bulb thermometer exposed to air and not directly exposed to sunlight. The wet-bulb temperature can be understood as the lowest temperature that can be reached in the current environment solely through evaporation of water.

[0110] During the simulation, multiple sets of actual operating data are collected. This data includes compressor discharge temperature, compressor suction temperature, compressor discharge pressure, and compressor suction pressure. The actual operating data can be collected at a set frequency and for a fixed set period, such as several minutes or tens of minutes.

[0111] Using the collected actual operating data, a fitting analysis is performed to determine the theoretical prediction index. The fitting analysis can use a regression algorithm (such as the least squares method), a mathematical model, a statistical method, or a machine learning algorithm.

[0112] The fitting analysis can be completed under experimental conditions, and the generated theoretical prediction index can be stored in the configuration file or memory of the refrigeration system in the form of constants so that it can be called at any time.

[0113] In some embodiments, fitting analysis can also be used to generate extreme thresholds for the prediction index. For example, fitting analysis can be used to generate upper and lower thresholds for the prediction index. For example, simulations can be performed under various extreme operating conditions, extreme online scenarios, excessive refrigerant volume, or insufficient refrigerant volume to obtain extreme thresholds for the prediction index. Extreme operating conditions can be understood as ambient temperatures below or above the extreme operating temperature of the refrigeration system 1000. Extreme online scenarios can be understood as situations where the total cooling capacity of the indoor unit 20 is greater than the cooling capacity of the outdoor unit 10.

[0114] During operation, especially when the refrigeration system is operating stably, and provided the startup capacity remains unchanged, the correction value determined based on the theoretical prediction index is likely to meet the actual use requirements of replacing a faulty sensor. It should be noted that when the rate of change of the compressor exhaust temperature, compressor suction temperature, compressor exhaust pressure, and compressor suction pressure is less than a preset fluctuation rate, the refrigeration system can be considered to be operating stably. Of course, some embodiments of the present disclosure are not limited to this. The startup capacity can be understood as the cooling capacity corresponding to the initially operating indoor unit 20 when the refrigeration system 1000 is started up.

[0115] However, if the actual working conditions change, especially the startup capacity changes, and the system operating state changes, the theoretical prediction index may not match the actual working conditions, startup capacity, and system state, thereby posing a risk of failure of the backup plan. In order to avoid this situation, by setting relevant steps in the refrigeration system 1000, the theoretical prediction index can be dynamically learned and updated to obtain the current prediction index. Considering that when the system is in an unstable state such as a transition state, the compressor exhaust temperature, the compressor suction temperature, the compressor exhaust pressure, and the compressor suction pressure change dramatically, it is necessary to avoid learning based on the state at this time. It should be noted that the transition state can be the state corresponding to when the refrigeration system 1000 is turned on, or the state corresponding to when the number of indoor units 20 running in the refrigeration system 1000 changes, and the present disclosure is not limited to this.

[0116] Based on this, in some embodiments, the processing unit 33 is further configured to calculate the real-time intake superheat when controlling based on the detection value other than the abnormal value and the determined correction value. The formula for calculating the real-time intake superheat is as follows: ssh =T s -T cs (14)

[0117] T cs is the suction pressure P s The corresponding saturation temperature. ssh It should be noted that the suction pressure P s and saturation temperature T csThe corresponding relationship can be pre-stored in the processing device 30 for easy retrieval.

[0118] In some embodiments, the processing unit 33 is further configured to update the current prediction index based on the correction value and the detected values ​​excluding abnormal values ​​when the real-time suction superheat exceeds a preset superheat (i.e., a reference steady-state superheat). Here, the preset superheat can be understood as the suction superheat that can maintain the refrigerant on the suction side of the compressor in a steady state (gaseous state).

[0119] For example, the updated current prediction index a' can be expressed as: or

[0120] The following explanation is based on the pressure-enthalpy diagram. In some embodiments, the preset superheat can be set to 0. As shown in Figure 6, when the real-time suction superheat T ssh When the superheat is lower than the preset value, as shown by line segments 2, 3, and 4 in Figure 6, the suction point A of the compressor corresponding to the three line segments is in a two-phase state, and the suction pressure P corresponding to these three line segments is s Same, suction temperature T s Similarly, the suction temperature T s The suction pressure P s The corresponding saturation temperature. The exhaust pressure P at the compressor exhaust point B d and exhaust temperature T d According to the above principle, if learning is performed at this time, the calculated current prediction index is the same. However, the suction conditions (such as dryness) of the compressors corresponding to these three line segments are very different, thus introducing external errors.

[0121] When the real-time suction superheat T ssh When the superheat is higher than the preset value, as shown by line segment 1 in Figure 6, the suction pressure P of the compressor suction point A corresponding to line segment 1 is s and suction temperature T s is a fixed single value. At this time, the current prediction index obtained by learning is unique and fixed, so the real-time suction superheat T ssh When the superheat exceeds the preset value, the one-to-one correspondence between the current prediction index, the correction value, and the operating conditions is clearly demonstrated. In this case, the current prediction index can be updated based on the correction value and the detected values ​​excluding abnormal values, so that a prediction index that is appropriate for the operating conditions can be calculated in the next prediction cycle.

[0122] The refrigeration system provided by some embodiments of the present disclosure, through the processing device 30, can determine a correction value based on the current prediction index and other normal detection values ​​when an abnormal value is detected. Furthermore, when the real-time suction superheat exceeds a preset superheat, the current prediction index is updated to adapt to different operating conditions. This avoids the problem of backup plans failing due to the inability to update or iterate the algorithm in a timely manner, thus affecting overall control. Furthermore, the abnormal shutdown rate of the refrigeration system 1000 can be reduced, thereby improving the performance of the refrigeration system 1000.

[0123] In some embodiments, as shown in FIG7 , the processing device 30 is configured to perform steps S101 to S109 .

[0124] In step S101 , detection values ​​of the sensor components are collected.

[0125] In step S102, it is determined whether there is an abnormal value in the detection value. If there is an abnormal value, step S103 is executed; if there is no abnormal value, step S109 is executed.

[0126] In step S103 , based on the current prediction index and the detection values ​​excluding the abnormal value, a correction value corresponding to the abnormal value is determined.

[0127] In some embodiments, the current prediction index in step S103 may be a theoretical prediction index, an initial value of the current prediction index, or a current prediction index after learning iterations.

[0128] In step S104 , control is performed based on the detection values ​​excluding the abnormal values ​​and the determined correction values.

[0129] In step S105 , the real-time suction air superheat is calculated.

[0130] In step S106, it is determined whether the real-time intake air superheat is higher than the preset superheat. If so, step S107 is executed; if not, step S108 is executed.

[0131] In step S107 , the current prediction index is updated based on the correction value and the detection value excluding the abnormal value.

[0132] In step S108, the current prediction index is kept unchanged, and the process returns to step S103.

[0133] In step S109, normal operation is performed.

[0134] In some embodiments, the processing device 30 (such as the processing unit 33) can also be configured to: determine the rate of change of the real-time intake superheat when the real-time intake superheat is higher than the preset superheat; and update the current prediction index based on the correction value and the detection value other than the abnormal value when the rate of change of the real-time intake superheat is lower than the preset fluctuation rate.

[0135] Through the suction superheat change rate, it is possible to further identify whether the refrigeration system 1000 is in an unstable state such as a transition state, thereby comprehensively detecting system fluctuations, capturing the changing trend of the system state, and avoiding iteration or update delays caused by short-term fluctuations.

[0136] For example, as shown in FIG8 , compared with FIG7 , after determining that the real-time suction air superheat is higher than the preset superheat, the processing device 30 is further configured to execute step S207 and step S208 .

[0137] In step S207 , the rate of change of the real-time suction air superheat is determined.

[0138] In step S208, it is determined whether the change rate of the real-time intake superheat is lower than the preset fluctuation rate. If so, step S107 is executed; if not, step S108 is executed.

[0139] In some embodiments, the processing unit 33 is configured to maintain the current prediction index unchanged when the real-time intake superheat is less than or equal to a preset superheat, and not to update the current prediction index until the real-time intake superheat exceeds the preset superheat. For example, as shown in step S108 in FIG9 , the processing unit 33 returns to step S105 after step S108. Alternatively, the processing unit 33 may return to step S103 after step S108.

[0140] In some embodiments, the processing unit 33 is configured to: upon identifying an abnormal value, call a pre-stored theoretical prediction index; and, based on the real-time suction superheat, modify the theoretical prediction index to generate an initial value for the current prediction index. Here, the greater the real-time suction superheat, the smaller the modification to the initial value of the current prediction index. The theoretical prediction index is generated based on the polytropic index in the compressor's polytropic process state equation.

[0141] The principles of the theoretical prediction index and the polytropic index have been introduced above. Suction superheat is a critical performance parameter in refrigeration systems. It represents the difference between the temperature of the gas entering the compressor and the saturation temperature corresponding to the suction pressure. Changes in suction superheat can reflect the nature of the compression process in the refrigeration system. Changes in suction superheat can affect the thermodynamic properties of the gas, and thus the polytropic index and the prediction index. Therefore, in the initial state, the theoretical prediction index can be corrected based on the real-time suction superheat.

[0142] As shown in FIG10 , the processing device 30 is configured to execute steps S401 to S406 during the first operation.

[0143] In step S401 , a detection value of a sensor component is detected.

[0144] In step S402, it is determined whether there are any abnormal values ​​in the detection values. If there are abnormal values, step S403 is executed; if there are no abnormal values, step S406 is executed.

[0145] In step S403, a pre-stored theoretical prediction index is called.

[0146] In step S404 , the theoretical prediction index is corrected based on the real-time intake air superheat to generate an initial value of the current prediction index.

[0147] In step S405 , a correction value is determined based on the initial value of the current prediction index and the detection value excluding the abnormal value.

[0148] In step S406, normal operation is performed.

[0149] In some embodiments, a number of correction coefficients less than or equal to 1 are configured in the processing unit 33. The processing unit 33 can be configured to determine the corresponding correction coefficient based on the real-time intake superheat, and use the product of the theoretical prediction index and the correction coefficient as the initial value of the current prediction index.

[0150] For example, as shown in FIG11 , the processing unit 33 is configured to perform the following steps after calling a pre-stored theoretical prediction index.

[0151] In step S504 , the real-time suction air superheat is calculated.

[0152] In step S505, it is determined whether the real-time intake superheat is higher than the first intake superheat threshold. If so, step S5051 is executed; if not, step S5052 is executed.

[0153] In step S5051, the theoretical prediction index is used as the initial value of the current prediction index. At this time, it can be understood that the corresponding correction coefficient is equal to 1.

[0154] In step S5052, it is determined whether the real-time intake superheat is higher than the second intake superheat threshold. If so, step 5053 is executed; if not, step 5054 is executed.

[0155] In step S5053, the product of the theoretical prediction index and the first correction coefficient is used as the initial value of the current prediction index.

[0156] In step S5054, the product of the theoretical prediction index and the second correction coefficient is used as the initial value of the current prediction index.

[0157] For another example, as shown in FIG12 , the processing unit 33 is configured to: after calling the pre-stored theoretical prediction index, perform the following steps.

[0158] In step S504 , the real-time suction air superheat is calculated.

[0159] In step S505, it is determined whether the real-time intake superheat is higher than the first intake superheat threshold. If so, step S5061 is executed; if not, step S5062 is executed.

[0160] In step S5061, the product of the theoretical prediction index and the first correction coefficient is used as the initial value of the current prediction index.

[0161] In step S5062, it is determined whether the real-time intake superheat is higher than the second intake superheat threshold. If so, step 5063 is executed; if not, step 5064 is executed.

[0162] In step S5063, the product of the theoretical prediction index and the second correction coefficient is used as the initial value of the current prediction index.

[0163] In step S5064, the product of the theoretical prediction index and the third correction coefficient is used as the initial value of the current prediction index.

[0164] Here, the first intake superheat threshold is greater than the second intake superheat threshold. For example, the first intake superheat threshold can be set to 10, and the second intake superheat threshold can be set to 0. When the first correction coefficient is less than 0.5 or greater than 0.9, the initial value of the current prediction index generated using the first correction coefficient has a large error, affecting the accuracy of the corrected detection value. When the second correction coefficient is less than 0.4 or greater than 0.7, the initial value of the current prediction index generated using the second correction coefficient has a large error, affecting the accuracy of the corrected detection value. Therefore, the first correction coefficient can be any value in the range of 0.5 to 0.9, and the second correction coefficient can be any value in the range of 0.4 to 0.7. For example, the first correction coefficient can be 0.5, 0.6, 0.7, 0.8, or 0.9, and the second correction coefficient can be 0.4, 0.5, 0.55, 0.6, or 0.7. In this way, the initial value of the current prediction index generated using the first or second correction coefficient has a small error and high accuracy.

[0165] In some embodiments, the processing unit 33 is configured with a threshold value for the prediction index. The method for generating the threshold value for the prediction index is described above and will not be repeated here. The processing unit 33 is configured to, when the current prediction index exceeds the threshold value, correct the current prediction index to the threshold value, or not perform the step of updating the current prediction index, to ensure that the algorithm does not fail or exceed the limit range.

[0166] In other embodiments, the identification unit 32 is configured to determine whether the detection value of the second temperature sensor is abnormal. In this case, the processing unit 33 is configured to: when the detection value of the second temperature sensor is identified as abnormal, based on the current prediction index a, the detection value T of the first temperature sensor s , the detection value P of the second pressure sensor d and the detection value P of the first pressure sensor s , determine the exhaust temperature correction value T' d , Based on the exhaust temperature correction value T' d , the detection value T of the first temperature sensor s , the detection value P of the second pressure sensor d and the detection value P of the first pressure sensor s When controlling, calculate the real-time suction superheat T ssh When the real-time suction superheat is higher than the preset superheat, the current prediction index is updated, and the updated current prediction index a' satisfies

[0167] For example, as shown in FIG13 , the processing device 30 is configured to execute steps S601 to S611 .

[0168] In step S601 , a detection value of a sensor component is detected.

[0169] For example, the processing device 30 detects the detection value T of the second temperature sensor. d , the detection value T of the first temperature sensor s , the detection value P of the second pressure sensor d and the detection value P of the first pressure sensor s .

[0170] In step S602, the detection value is stored and the real-time suction air superheat T is calculated. ssh .

[0171] Here, the suction superheat T ssh Equal to the suction temperature T s With suction pressure P s The corresponding saturation temperature difference (i.e., T ssh =T s -T cs , T cs is the suction pressure P s corresponding saturation temperature).

[0172] In step S603, it is determined whether the detection value of the second temperature sensor is an abnormal value. If so, step S604 is executed; if not, step S611 is executed.

[0173] In step S604, a pre-stored theoretical prediction index is called.

[0174] In step S605 , the theoretical prediction index is corrected based on the real-time intake air superheat to generate an initial value of the current prediction index.

[0175] In step S606, the exhaust temperature correction value T' is determined based on the current prediction index, the detection value of the first temperature sensor, the detection value of the second pressure sensor, and the detection value of the first pressure sensor. d .here,

[0176] In step S607, based on the exhaust gas temperature correction value T' d , the detection value T of the first temperature sensor s , the detection value P of the second pressure sensor d and the detection value P of the first pressure sensor s Take control.

[0177] In step S608, it is determined whether the real-time suction air superheat is higher than the preset superheat. If so, step S609 is executed; if not, the process returns to step S606.

[0178] In step S609, it is determined whether the change rate of the real-time intake superheat is lower than the preset fluctuation rate. If so, step S610 is executed; if not, the process returns to step S606.

[0179] In step S610, based on the exhaust temperature correction value T' d , the detection value T of the first temperature sensor s , the detection value P of the second pressure sensor d and the detection value P of the first pressure sensor s , update the current prediction index. The updated current prediction index a' satisfies The updated current prediction index can be used to correct subsequent detection values.

[0180] In step S611, normal operation is performed. Here, the normal operation can be understood as the refrigeration system 1000 performing cooling or heating.

[0181] In some other embodiments, the identification unit 32 is configured to determine whether the detection value of the first temperature sensor is abnormal. In this case, the processing unit 33 is configured to: when the detection value of the first temperature sensor is identified as abnormal, based on the current prediction index a and the detection value T of the second temperature sensor d , the detection value P of the second pressure sensor d and the detection value P of the first pressure sensor s , determine the intake temperature correction value T s ', Based on the suction temperature correction value T s ', the detection value T of the second temperature sensor d , the detection value P of the second pressure sensor d and the detection value P of the first pressure sensor s Under the control condition, calculate the real-time suction superheat; when the real-time suction superheat is higher than the preset superheat, update the current prediction index, and the updated current prediction index a' satisfies

[0182] For example, as shown in FIG. 14 , the processing device 30 is configured to execute steps S701 to S711 .

[0183] In step S701 , a detection value of a sensor component is detected.

[0184] For example, the processing device 30 detects the detection value T of the second temperature sensor. d , the detection value T of the first temperature sensor s , the detection value P of the second pressure sensor d and the detection value P of the first pressure sensor s .

[0185] In step S702, the detection value is stored and the real-time suction air superheat T is calculated. ssh .

[0186] Here, the suction superheat T ssh Equal to the suction temperature T s With suction pressure P s The corresponding saturation temperature difference (i.e., T ssh =T s -T cs , T cs is the suction pressure P s The corresponding saturation temperature.

[0187] In step S703, it is determined whether the detection value of the first temperature sensor is an abnormal value. If so, step S704 is executed; if not, step S711 is executed.

[0188] In step S704, a pre-stored theoretical prediction index is called.

[0189] In step S705 , the theoretical prediction index is corrected based on the real-time intake air superheat to generate an initial value of the current prediction index.

[0190] In step S706, the intake air temperature correction value T' is determined based on the current prediction index, the detection value of the second temperature sensor, the detection value of the second pressure sensor, and the detection value of the first pressure sensor. s .here,

[0191] In step S707, based on the intake air temperature correction value T s ', the detection value T of the second temperature sensor d , the detection value P of the second pressure sensor d and the detection value P of the first pressure sensor s Take control.

[0192] In step S708, it is determined whether the real-time suction air superheat is higher than the preset superheat. If so, step S709 is executed; if not, the process returns to step S706.

[0193] In step S709, it is determined whether the change rate of the real-time intake superheat is lower than the preset fluctuation rate. If so, step S710 is executed; if not, the process returns to step S706.

[0194] In step S710, the intake air temperature correction value and the detection value T of the second temperature sensor are used. d , the detection value P of the second pressure sensor d and the detection value P of the first pressure sensor s , update the current prediction index. The updated current prediction index a' satisfies The updated current prediction index can be used to correct subsequent detection values.

[0195] In step S711, normal operation is performed. Here, the normal operation can be understood as the refrigeration system 1000 performing cooling or heating to meet the use demand.

[0196] In some other embodiments, the identification unit 32 is configured to determine whether the detection value of the second pressure sensor is abnormal. In this case, the processing unit 33 is configured to: when the detection value of the second pressure sensor is identified as abnormal, based on the current prediction index a and the detection value T of the second temperature sensor d , the detection value T of the first temperature sensor s and the detection value P of the first pressure sensor s , determine the exhaust pressure correction value P' d , Based on the detection value T of the first temperature sensor s , the detection value T of the second temperature sensor d , the second pressure sensor correction value P' d and the detection value P of the first pressure sensor s Under the control condition, calculate the real-time suction superheat; when the real-time suction superheat is higher than the preset superheat, update the current prediction index, and the updated current prediction index a' satisfies

[0197] For example, as shown in FIG. 15 , the processing device 30 is configured to execute steps S801 to S811 .

[0198] In step S801 , the detection value of the sensor component is detected.

[0199] For example, the processing device 30 detects the detection value T of the second temperature sensor. d , the detection value T of the first temperature sensor s , the detection value P of the second pressure sensor d and the detection value P of the first pressure sensor s .

[0200] In step S802, the detection value is stored and the real-time suction air superheat T is calculated. ssh .

[0201] Here, the suction superheat T ssh Equal to the suction temperature T s With suction pressure P s The corresponding saturation temperature difference (i.e., T ssh =T s -T cs , T cs is the suction pressure P s corresponding saturation temperature).

[0202] In step S803, it is determined whether the detection value of the second pressure sensor is an abnormal value. If so, step S804 is executed; if not, step S811 is executed.

[0203] In step S804, a pre-stored theoretical prediction index is called.

[0204] In step S805 , the theoretical prediction index is corrected based on the real-time intake air superheat to generate an initial value of the current prediction index.

[0205] In step S806, based on the current prediction index, the detection value of the second temperature sensor, the detection value of the first temperature sensor and the detection value of the first pressure sensor, the exhaust pressure correction value P' is determined. d .here,

[0206] In step S807, based on the detection value T of the first temperature sensor s , the detection value T of the second temperature sensor d , exhaust pressure correction value P' d and the detection value P of the first pressure sensor s Take control.

[0207] In step S808, it is determined whether the real-time suction air superheat is higher than the preset superheat. If so, step S809 is executed; if not, the process returns to step S806.

[0208] In step S809, it is determined whether the change rate of the real-time intake superheat is lower than the preset fluctuation rate. If so, step S810 is executed; if not, the process returns to step S806.

[0209] In step S810, the current prediction index is updated based on the exhaust pressure correction value, the detection value of the first temperature sensor, the detection value of the second temperature sensor, and the detection value of the first pressure sensor. The updated current prediction index a' satisfies The updated current prediction index can be used to correct subsequent detection values.

[0210] In step S811, normal operation is performed. Here, the normal operation can be understood as the refrigeration system 1000 performing cooling or heating to meet the use demand.

[0211] In some other embodiments, the identification unit 32 is configured to determine whether the detection value of the first pressure sensor is abnormal. In this case, the processing unit 33 is configured to: when the detection value of the first pressure sensor is identified as abnormal, based on the current prediction index a and the detection value T of the second temperature sensor d , the detection value T of the first temperature sensor s and the detection value P of the second pressure sensor d , determine the suction pressure correction value Based on the detection value T of the first temperature sensor s , the detection value T of the second temperature sensor d , the detection value P of the second pressure sensor d And the suction pressure correction value P s 'When controlling, calculate the real-time suction superheat; when the real-time suction superheat is higher than the preset superheat, update the current prediction index, and the updated current prediction index a' satisfies

[0212] For example, as shown in FIG. 16 , the processing device 30 is configured to execute steps S901 to S911 .

[0213] In step S901 , a detection value of a sensor component is detected.

[0214] For example, the processing device 30 detects the detection value T of the second temperature sensor. d , the detection value T of the first temperature sensor s , the detection value P of the second pressure sensor d and the detection value P of the first pressure sensor s .

[0215] In step S902, the detection value is stored and the real-time suction air superheat T is calculated. ssh .

[0216] Here, the suction superheat T ssh Equal to the suction temperature T s With suction pressure P s The corresponding saturation temperature difference (i.e., T ssh =T s -T cs , T cs is the suction pressure P s The corresponding saturation temperature.

[0217] In step S903, it is determined whether the detection value of the first pressure sensor is an abnormal value. If so, step S904 is executed; if not, step S911 is executed.

[0218] In step S904, a pre-stored theoretical prediction index is called.

[0219] In step S905 , the theoretical prediction index is corrected based on the real-time intake air superheat to generate an initial value of the current prediction index.

[0220] In step S906, the intake pressure correction value P′ is determined based on the current prediction index, the detection value of the second temperature sensor, the detection value of the first temperature sensor, and the detection value of the second pressure sensor. s .here,

[0221] In step S907, based on the detection value T of the first temperature sensor s , the detection value T of the second temperature sensor d , the detection value P of the second pressure sensor d and suction pressure correction value P' s Take control.

[0222] In step S908, it is determined whether the real-time suction air superheat is higher than the preset superheat. If so, step S909 is executed; if not, the process returns to step S906.

[0223] In step S909, it is determined whether the change rate of the real-time intake superheat is lower than the preset fluctuation rate. If so, step S910 is executed; if not, the process returns to step S906.

[0224] In step S910, the current prediction index is updated according to the intake pressure correction value, the detection value of the first temperature sensor, the detection value of the second temperature sensor and the detection value of the second pressure sensor. The updated current prediction index a' satisfies The updated current prediction index can be used to correct subsequent detection values.

[0225] In step S911, normal operation is performed. Here, the normal operation can be understood as the refrigeration system 1000 performing cooling or heating to meet the use demand.

[0226] Some embodiments of the present disclosure also provide a control method for a refrigeration system. This method is applied to the above-mentioned refrigeration system 1000. The method includes: collecting detection values ​​of a sensor assembly; determining whether there are abnormal values ​​in the detection values; when an abnormal value is identified, determining a correction value corresponding to the abnormal value based on a current prediction index and detection values ​​other than the abnormal value; calculating a real-time suction superheat while controlling based on the detection values ​​other than the abnormal value and the determined correction value; and updating the current prediction index based on the correction value and detection values ​​other than the abnormal value when the real-time suction superheat is higher than a preset superheat.

[0227] The steps and beneficial effects of this control method are roughly the same as the steps and beneficial effects performed by the refrigeration system described in some of the above embodiments, and will not be repeated here.

[0228] It should be noted that the description of the steps in a specific order in the figures of some embodiments of the present disclosure does not require or imply that the steps must be performed in that specific order, or that all steps must be performed to achieve the desired results. Additional steps may be added to the figures, some steps may be omitted, multiple steps may be combined into one, or one step may be broken down into multiple steps.

[0229] In the description of the above embodiments, specific features, structures, materials or characteristics may be combined in an appropriate manner in any one or more embodiments or examples.

[0230] It should be noted that any one of the disclosed technical solutions in the present disclosure can solve one or more of the above-mentioned technical problems to a certain extent and achieve corresponding technical effects. Alternatively, multiple disclosed technical solutions can also be combined into an overall solution to solve one or more of the above-mentioned technical problems and achieve corresponding technical effects. Alternatively, some of the disclosed technical solutions are combined into an overall solution, and combined with related technologies and deterioration solutions, but the solution can compensate for the deterioration trend through the technical means of the present disclosure, thereby solving one or more of the above-mentioned technical problems to a certain extent as a whole and achieving corresponding technical effects. Alternatively, each disclosed technical solution is combined into a complete technical solution, constituting an organic and inseparable overall solution, thereby solving the technical problems as a whole and achieving corresponding technical effects.

[0231] Any technical solution disclosed in this disclosure, as well as the recombination of multiple technical solutions disclosed, can form a complete technical solution, and can solve one or more of the above-mentioned technical problems and achieve corresponding technical effects. They all belong to the content of this disclosure and are the content that is directly and unambiguously determined based on the content of this disclosure.

[0232] Those skilled in the art will understand that the scope of the present disclosure is not limited to the above specific embodiments, and that certain elements of the embodiments may be modified and replaced without departing from the spirit of the present disclosure. The scope of the present disclosure is limited by the appended claims.

Claims

1. A refrigeration system comprising: A refrigerant circuit, wherein the refrigerant circuit sequentially connects a compressor, an outdoor heat exchanger, a throttling device, and an indoor heat exchanger; as well as A processing device comprising: a collecting unit configured to collect detection values ​​of a sensor assembly, the sensor assembly comprising at least a first pressure sensor and a first temperature sensor provided on the suction side of the compressor, and a second pressure sensor and a second temperature sensor provided on the discharge side of the compressor; an identification unit configured to determine whether there is an abnormal value in the detection value; and The processing unit is configured as follows: When the recognition unit recognizes the abnormal value, determining a correction value corresponding to the abnormal value based on a current prediction index and detection values ​​other than the abnormal value; calculating a real-time intake air superheat degree while performing control based on the detection values ​​excluding the abnormal value and the determined correction value; and When the real-time intake air superheat is higher than a preset superheat, the current prediction index is updated based on the correction value and the detection values ​​excluding the abnormal value.

2. The refrigeration system according to claim 1, wherein: The processing unit is configured to: When the real-time suction air superheat is higher than the preset superheat, determining a rate of change of the real-time suction air superheat; and When the rate of change of the real-time intake air superheat is lower than a preset fluctuation rate, the current prediction index is updated based on the correction value and the detection values ​​excluding the abnormal value.

3. The refrigeration system according to claim 2, wherein: The processing unit is configured to: When the real-time suction superheat is less than or equal to the preset superheat, the current prediction index is kept unchanged, and the step of updating the current prediction index is not performed until the real-time suction superheat is higher than the preset superheat.

4. The refrigeration system according to any one of claims 1 to 3, wherein: The processing unit is configured to: When the recognition unit recognizes the abnormal value, calling a pre-stored theoretical prediction index; and Based on the real-time suction air superheat, the theoretical prediction index is corrected to generate an initial value of the current prediction index; The greater the real-time suction superheat, the smaller the correction amount of the initial value of the current prediction index. The theoretical prediction index is generated based on the polytropic index in the polytropic process state equation of the compressor.

5. The refrigeration system according to claim 4, wherein: The processing unit is configured with at least one correction coefficient less than or equal to 1, and the processing unit is configured to: Determining a corresponding correction coefficient according to the real-time suction air superheat; and The product of the theoretical prediction index and one of the at least one correction coefficient is used as the initial value of the current prediction index.

6. The refrigeration system according to claim 5, wherein: The processing unit is configured to: After calling the pre-stored theoretical prediction index, calculating the real-time suction superheat; If the real-time intake superheat is higher than a first intake superheat threshold, the theoretical prediction index is used as the initial value of the current prediction index; If the real-time intake superheat is less than or equal to the first intake superheat threshold and higher than the second intake superheat threshold, the product of the theoretical prediction index and the first correction coefficient is used as the initial value of the current prediction index; as well as If the real-time intake superheat is less than or equal to the second intake superheat threshold, the product of the theoretical prediction index and the second correction coefficient is used as the initial value of the current prediction index; wherein, the first intake superheat threshold is greater than the second intake superheat threshold, and the at least one correction coefficient includes the first correction coefficient and the second correction coefficient.

7. The refrigeration system according to claim 6, wherein: The first correction coefficient is any value in the range of 0.5 to 0.9, and the second correction coefficient is any value in the range of 0.4 to 0.

7.

8. The refrigeration system according to any one of claims 1 to 7, wherein: The processing unit is configured with a limit threshold of the prediction index, and the processing unit is configured to: when the current prediction index exceeds the limit threshold of the prediction index, correct the current prediction index to the limit threshold of the prediction index, or not perform the step of updating the current prediction index.

9. The refrigeration system according to any one of claims 1 to 8, wherein: The recognition unit is configured to perform one of the following: By comparing the detection value of any sensor in the sensor assembly with the corresponding expected range, determining whether the abnormal value exists in the detection value; By monitoring the signal quality output by any sensor in the sensor assembly, determining whether the abnormal value exists in the detection value; Determining whether the abnormal value exists in the detection value by monitoring whether any sensor in the sensor assembly outputs a fault code; as well as By comparing the change in the detection value of any sensor in the sensor assembly with the corresponding preset value, it is determined whether the abnormal value exists in the detection value.

10. A refrigeration system comprising: A refrigerant circuit, wherein the refrigerant circuit sequentially connects a compressor, an outdoor heat exchanger, a throttling device, and an indoor heat exchanger; as well as A processing device comprising: a collecting unit configured to collect detection values ​​of a sensor assembly, the sensor assembly including a first pressure sensor and a first temperature sensor provided on the suction side of the compressor, and a second pressure sensor and a second temperature sensor provided on the discharge side of the compressor; an identification unit configured to determine whether a detection value of the second temperature sensor is abnormal; and The processing unit is configured to: determine an exhaust temperature correction value based on a current prediction index, the detection value of the first temperature sensor, the detection value of the second pressure sensor, and the detection value of the first pressure sensor when the identification unit identifies that the detection value of the second temperature sensor is abnormal; calculate a real-time intake superheat while performing control based on the exhaust temperature correction value, the detection value of the first temperature sensor, the detection value of the second pressure sensor, and the detection value of the first pressure sensor; and update the current prediction index based on the exhaust temperature correction value, the detection value of the first temperature sensor, the detection value of the second pressure sensor, and the detection value of the first pressure sensor when the real-time intake superheat is higher than a preset superheat.

11. The refrigeration system according to claim 10, wherein: The processing unit is configured to: When the real-time suction air superheat is higher than the preset superheat, determining a rate of change of the real-time suction air superheat; and When the rate of change of the real-time intake air superheat is lower than a preset fluctuation rate, the current prediction index is updated based on the correction value and the detection values ​​excluding the abnormal value.

12. The refrigeration system according to claim 11, wherein: The processing unit is configured to: When the real-time suction superheat is less than or equal to the preset superheat, the current prediction index is kept unchanged, and the step of updating the current prediction index is not performed until the real-time suction superheat is higher than the preset superheat.

13. A refrigeration system comprising: A refrigerant circuit, wherein the refrigerant circuit sequentially connects a compressor, an outdoor heat exchanger, a throttling device, and an indoor heat exchanger; as well as A processing device comprising: a collecting unit configured to collect detection values ​​of a sensor assembly, the sensor assembly including a first pressure sensor and a first temperature sensor provided on the suction side of the compressor, and a second pressure sensor and a second temperature sensor provided on the discharge side of the compressor; an identification unit configured to determine whether the detection value of the first temperature sensor is abnormal; and The processing unit is configured to: determine an intake temperature correction value based on a current prediction index, the detection value of the second temperature sensor, the detection value of the second pressure sensor, and the detection value of the first pressure sensor when the recognition unit recognizes that the detection value of the first temperature sensor is abnormal; calculate a real-time intake superheat while performing control based on the intake temperature correction value, the detection value of the second temperature sensor, the detection value of the second pressure sensor, and the detection value of the first pressure sensor; and update the current prediction index based on the intake temperature correction value, the detection value of the second temperature sensor, the detection value of the second pressure sensor, and the detection value of the first pressure sensor when the real-time intake superheat is higher than a preset superheat.

14. The refrigeration system according to claim 13, wherein: The processing unit is configured to: When the recognition unit recognizes the abnormal value, calling a pre-stored theoretical prediction index; and Based on the real-time suction air superheat, the theoretical prediction index is corrected to generate an initial value of the current prediction index; The greater the real-time suction superheat, the smaller the correction amount of the initial value of the current prediction index. The theoretical prediction index is generated based on the polytropic index in the polytropic process state equation of the compressor.

15. The refrigeration system according to claim 14, wherein: The processing unit is configured with at least one correction coefficient less than or equal to 1, and the processing unit is configured to: Determining a corresponding correction coefficient according to the real-time suction air superheat; and The product of the theoretical prediction index and one of the at least one correction coefficient is used as the initial value of the current prediction index.

16. The refrigeration system according to claim 15, wherein: The processing unit is configured with a limit threshold of the prediction index, and the processing unit is configured to: when the current prediction index exceeds the limit threshold of the prediction index, correct the current prediction index to the limit threshold of the prediction index, or not perform the step of updating the current prediction index.

17. A refrigeration system comprising: A refrigerant circuit, wherein the refrigerant circuit sequentially connects a compressor, an outdoor heat exchanger, a throttling device, and an indoor heat exchanger; as well as A processing device comprising: a collecting unit configured to collect detection values ​​of a sensor assembly, the sensor assembly including a first pressure sensor and a first temperature sensor provided on the suction side of the compressor, and a second pressure sensor and a second temperature sensor provided on the discharge side of the compressor; an identification unit configured to determine whether a detection value of the second pressure sensor is abnormal; and The processing unit is configured to: determine an exhaust pressure correction value based on a current prediction index, the detection value of the second temperature sensor, the detection value of the first temperature sensor, and the detection value of the first pressure sensor when the identification unit identifies that the detection value of the second pressure sensor is abnormal; calculate a real-time intake superheat while performing control based on the detection value of the first temperature sensor, the detection value of the second temperature sensor, the exhaust pressure correction value, and the detection value of the first pressure sensor; and update the current prediction index based on the detection value of the first temperature sensor, the detection value of the second temperature sensor, the exhaust pressure correction value, and the detection value of the first pressure sensor when the real-time intake superheat is higher than a preset superheat.

18. The refrigeration system according to claim 17, wherein: The recognition unit is configured to perform one of the following: By comparing the detection value of any sensor in the sensor assembly with the corresponding expected range, determining whether the abnormal value exists in the detection value; By monitoring the signal quality output by any sensor in the sensor assembly, determining whether the abnormal value exists in the detection value; Determining whether the abnormal value exists in the detection value by monitoring whether any sensor in the sensor assembly outputs a fault code; as well as By comparing the change in the detection value of any sensor in the sensor assembly with the corresponding preset value, it is determined whether the abnormal value exists in the detection value.

19. A refrigeration system comprising: A refrigerant circuit, wherein the refrigerant circuit sequentially connects a compressor, an outdoor heat exchanger, a throttling device, and an indoor heat exchanger; as well as A processing device comprising: a collecting unit configured to collect detection values ​​of a sensor assembly, the sensor assembly including a first pressure sensor and a first temperature sensor provided on the suction side of the compressor, and a second pressure sensor and a second temperature sensor provided on the discharge side of the compressor; an identification unit configured to determine whether a detection value of the first pressure sensor is abnormal; and The processing unit is configured to: determine an intake pressure correction value based on a current prediction index, the detection value of the second temperature sensor, the detection value of the first temperature sensor, and the detection value of the second pressure sensor when the recognition unit recognizes that the detection value of the first pressure sensor is abnormal; calculate a real-time intake superheat while performing control based on the detection value of the first temperature sensor, the detection value of the second temperature sensor, the detection value of the second pressure sensor, and the intake pressure correction value; and update the current prediction index based on the detection value of the first temperature sensor, the detection value of the second temperature sensor, the detection value of the second pressure sensor, and the intake pressure correction value when the real-time intake superheat is higher than a preset superheat.

20. A control method for a refrigeration system, applied to a refrigeration system, wherein the refrigeration system comprises a refrigerant circuit and a processing device, wherein the refrigerant circuit is sequentially connected to a compressor, an outdoor heat exchanger, a throttling device, and an indoor heat exchanger, wherein: The method comprises: Collecting detection values ​​of a sensor assembly; the sensor assembly includes at least a first pressure sensor and a first temperature sensor provided on the suction side of the compressor, and a second pressure sensor and a second temperature sensor provided on the discharge side of the compressor; When an abnormal value is identified, determining a correction value corresponding to the abnormal value based on the current prediction index and the detection values ​​other than the abnormal value; calculating a real-time intake air superheat degree while performing control based on the detection values ​​excluding the abnormal value and the determined correction value; and When the real-time intake air superheat is higher than a preset superheat, the current prediction index is updated based on the correction value and the detection values ​​excluding the abnormal value.

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