Fault operation method and device of air conditioner, air conditioning unit, storage medium and electronic equipment

Abstract

The application provides a fault operation method and device of an air conditioner, an air conditioner unit, a storage medium and an electronic device, and the method comprises the following steps: determining an environment sensor of the air conditioner unit that has a fault; calculating an analog value of the environment sensor; configuring a real-time detection value of the environment sensor by using the analog value; and controlling the operation of the air conditioner unit by using the real-time detection value. The technical problem that the environment sensor of the air conditioner unit cannot be adaptively controlled based on actual environmental changes when the environment sensor fails in the related art is solved, and the stability of the operation of the air conditioner unit is improved, and the user comfort is also improved.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioning, and in particular to a method and device for operating an air conditioner in a faulty manner, an air conditioning unit, a storage medium, and electronic equipment. Background Art

[0002] In the related art, as the air-conditioning unit is put into use for an extended period of time, it may experience a "non-shutdown failure" due to some reason, such as a failure of a temperature sensor or a humidity sensor.

[0003] In related technologies, to avoid affecting user comfort, this situation is typically handled by maintaining the equipment at the pre-failure set temperature or capacity requirement, and continuing to operate the unit. This approach cannot cope with situations where environmental parameters change. Because the temperature and humidity sensors fail and cannot detect real-time temperature / humidity changes, data cannot be updated in real time and sent to the main control to adjust the temperature control strategy, resulting in reduced comfort or wasted electricity. Furthermore, the abnormal data caused by this failure will contaminate the cloud server's data set, negatively impacting subsequent cloud-based big data statistical analysis.

[0004] For the above-mentioned problems existing in related technologies, no efficient and accurate solutions have been found yet. Summary of the Invention

[0005] The present invention provides a method and device for operating an air conditioner in a faulty manner, an air conditioner unit, a storage medium, and an electronic device to solve technical problems in related technologies.

[0006] According to one embodiment of the present invention, a method for faulty operation of an air conditioner is provided, comprising: determining an environmental sensor of a faulty air conditioning unit; calculating an analog value of the environmental sensor; configuring a real-time detection value of the environmental sensor using the analog value; and controlling the operation of the air conditioning unit using the real-time detection value.

[0007] Optionally, the environmental sensor for determining that the air-conditioning unit has failed includes one of the following: an indoor temperature sensor for determining that the air-conditioning unit has failed; an indoor humidity sensor for determining that the air-conditioning unit has failed; an outdoor temperature sensor for determining that the air-conditioning unit has failed; or an outdoor humidity sensor for determining that the air-conditioning unit has failed.

[0008] Optionally, the environmental sensor is an indoor environmental sensor, and calculating the analog value of the environmental sensor includes: locating the faulty indoor unit where the indoor environmental sensor is located and normal indoor units other than the faulty indoor unit in the air-conditioning unit, wherein the air-conditioning unit includes multiple indoor units; obtaining the real-time capacity output of the outdoor unit of the air-conditioning unit, and obtaining the first real-time capacity output of the normal indoor unit, wherein the real-time capacity output of the outdoor unit is used to characterize the amount of heat removed from the air by the outdoor unit per unit time, and the first real-time capacity output is used to characterize the amount of heat removed from the air by the normal indoor unit per unit time; using the real-time capacity output of the outdoor unit and the first real-time capacity output to calculate the second real-time capacity output of the faulty indoor unit, wherein the second real-time capacity output is used to characterize the amount of heat removed from the air by the faulty indoor unit per unit time; and calculating the analog value of the environmental sensor based on the second real-time capacity output.

[0009] Optionally, calculating the analog value of the environmental sensor based on the second real-time capability output includes: determining the fan speed of the faulty indoor unit, the first pressure value on the exhaust side and the second pressure value on the suction side of the compressor, and the indoor temperature value or the indoor humidity value; calculating the first analog value of the indoor humidity sensor based on the fan speed, the first pressure value, the second pressure value, and the indoor temperature value, or calculating the second analog value of the indoor temperature sensor based on the fan speed, the first pressure value, the second pressure value, and the indoor humidity value.

[0010] Optionally, the environmental sensor is an outdoor environmental sensor, and calculating the analog value of the environmental sensor includes: reading the adjacent outdoor environmental parameter values ​​of the outdoor environmental sensor in the period before the fault, and calling the state transition probability table of the corresponding outdoor environmental parameter type, wherein the state transition probability table is used to count the transition probabilities of historical outdoor environmental parameter values ​​recorded by the outdoor environmental sensor at historical times in different parameter intervals; and using the adjacent outdoor environmental parameter values ​​and the state transition probability table to predict the analog value of the outdoor environmental sensor in the current period.

[0011] Optionally, using the adjacent outdoor environment parameter values ​​and the state transition probability table to predict the simulation value of the outdoor environment sensor in the current cycle includes: locating the target row of the historical outdoor environment parameter value in the state transition probability table, wherein the state transition probability table includes multiple rows, each row corresponding to a parameter interval; determining the prediction interval of the simulation value to be predicted in the state transition probability table based on the target row, and reading the upper limit and lower limit values ​​of the prediction interval in the state transition probability table; generating a random number; and using the upper limit value, the lower limit value, and the random number to calculate the simulation value of the outdoor environment sensor in the current cycle.

[0012] Optionally, before calling the state transition probability table corresponding to the outdoor environment parameter type, the method also includes: obtaining a set of historical environment parameter values ​​collected by the outdoor environment sensor; dividing the set of historical environment parameter values ​​into multiple parameter intervals with continuous values, wherein each parameter interval includes several historical environment parameter values; for each first historical environment parameter value in each parameter interval, determining the environmental parameter value of each first historical environment parameter value in the next period to obtain several second historical environment parameter values; calculating the distribution probability of the several second historical environment parameter values ​​in each parameter interval; using the parameter interval as metadata, and using all distribution probabilities of all parameter intervals to construct the state transition probability table.

[0013] According to another embodiment of the present invention, a faulty operation device for an air conditioner is provided, comprising: a determination module for determining an environmental sensor in which a fault occurs in an air-conditioning unit; a calculation module for calculating an analog value of the environmental sensor; a configuration module for configuring a real-time detection value of the environmental sensor using the analog value; and a control module for controlling the operation of the air-conditioning unit using the real-time detection value.

[0014] Optionally, the determination module includes one of the following: a first determination unit, used to determine the indoor temperature sensor of the air-conditioning unit that has failed; a second determination unit, used to determine the indoor humidity sensor of the air-conditioning unit that has failed; a third determination unit, used to determine the outdoor temperature sensor of the air-conditioning unit that has failed; and a fourth determination unit, used to determine the outdoor humidity sensor of the air-conditioning unit that has failed.

[0015] Optionally, the environmental sensor is an indoor environmental sensor, and the calculation module includes: a positioning unit, used to locate the faulty indoor unit where the indoor environmental sensor is located and normal indoor units other than the faulty indoor unit in the air-conditioning unit, wherein the air-conditioning unit includes multiple indoor units; a first acquisition unit, used to obtain the real-time capacity output of the outdoor unit of the air-conditioning unit, and obtain the first real-time capacity output of the normal indoor unit, wherein the real-time capacity output of the outdoor unit is used to characterize the heat removed from the air by the outdoor unit per unit time, and the first real-time capacity output is used to characterize the heat removed from the air by the normal indoor unit per unit time; a first calculation unit, used to calculate the second real-time capacity output of the faulty indoor unit using the real-time capacity output of the outdoor unit and the first real-time capacity output, wherein the second real-time capacity output is used to characterize the heat removed from the air by the faulty indoor unit per unit time; a second calculation unit, used to calculate the analog value of the environmental sensor based on the second real-time capacity output.

[0016] Optionally, the second computing unit comprises: a determining subunit configured to determine a fan rotating speed of the faulty indoor unit, a first pressure value on an exhaust side of a compressor, a second pressure value on an air suction side, and an indoor temperature value or an indoor humidity value; and a computing subunit configured to calculate a first analog value of an indoor humidity sensor based on the fan rotating speed, the first pressure value, the second pressure value, and the indoor temperature value, or to calculate a second analog value of an indoor temperature sensor based on the fan rotating speed, the first pressure value, the second pressure value, and the indoor humidity value.

[0017] Optionally, the environmental sensor is an outdoor environmental sensor, and the computing module comprises: a processing unit configured to read adjacent outdoor environmental parameter values of the outdoor environmental sensor in a previous period before the fault, and to call a state transition probability table of a corresponding outdoor environmental parameter type, wherein the state transition probability table is configured to statistically record transition probabilities of historical outdoor environmental parameter values of the outdoor environmental sensor in different parameter intervals at historical time records; and a prediction unit configured to predict an analog value of the outdoor environmental sensor in a current period by using the adjacent outdoor environmental parameter values and the state transition probability table.

[0018] Optionally, the prediction unit comprises: a positioning subunit configured to position a target row of the historical outdoor environmental parameter values in the state transition probability table, wherein the state transition probability table comprises multiple rows, and each row corresponds to a parameter interval; a processing subunit configured to determine a prediction interval of the analog value to be predicted in the state transition probability table based on the target row, and to read an upper limit value and a lower limit value of the prediction interval in the state transition probability table; a generating subunit configured to generate a random number; and a computing subunit configured to calculate the analog value of the outdoor environmental sensor in the current period by using the upper limit value, the lower limit value, and the random number.

[0019] Optionally, the computing module further comprises: a second acquisition unit configured to acquire a set of historical environmental parameter values collected by the outdoor environmental sensor before the processing unit calls the state transition probability table of the corresponding outdoor environmental parameter type; a division unit configured to divide the set of historical environmental parameter values into multiple parameter intervals with continuous numerical values, wherein each parameter interval comprises a plurality of historical environmental parameter values; a determination unit configured to determine, for each first historical environmental parameter value in each parameter interval, an environmental parameter value of the next period of each first historical environmental parameter value to obtain a plurality of second historical environmental parameter values; a third computing unit configured to calculate distribution probabilities of the plurality of second historical environmental parameter values in each parameter interval; and a construction unit configured to construct the state transition probability table by using all distribution probabilities of all parameter intervals with parameter intervals as metadata.

[0020] According to another embodiment of the present application, there is provided an air conditioning unit, comprising: a determining module configured to determine an environment sensor of the air conditioning unit that has failed; a calculating module configured to calculate an analog value of the environment sensor; a configuring module configured to configure a real-time detection value of the environment sensor with the analog value; and a controlling module configured to control operation of the air conditioning unit with the real-time detection value.

[0021] According to another aspect of the embodiments of the present application, there is also provided a storage medium comprising a stored program, which, when executed, performs the steps described above.

[0022] According to another aspect of the embodiments of the present application, there is also provided an electronic device comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus; and wherein the memory is configured to store a computer program, and the processor is configured to execute the steps of the above method by running the program stored in the memory.

[0023] According to another aspect of the embodiments of the present application, there is also provided a storage medium comprising a stored program, which, when executed, performs the steps described above.

[0024] According to another aspect of the embodiments of the present application, there is also provided a storage medium comprising a stored program, which, when executed, performs the steps described above. BRIEF DESCRIPTION OF DRAWINGS

[0025] The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application. In the drawings:

[0026] Figure 1 is a hardware structure block diagram of an air conditioner according to an embodiment of the present application;

[0027] Figure 2 is a flow chart of a failure operation method of an air conditioner according to an embodiment of the present application;

[0028] Figure 3 This is a system schematic diagram of an air-conditioning unit according to an embodiment of the present invention;

[0029] Figure 4 is a flow chart for predicting a simulated value of an outdoor temperature sensor in an embodiment of the present invention;

[0030] Figure 5 is a flow chart of the faulty operation of the temperature / humidity sensor according to an embodiment of the present invention;

[0031] Figure 6 This is a structural block diagram of a fault operation device for an air conditioner according to an embodiment of the present invention. DETAILED DESCRIPTION

[0032] In order to enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work should fall within the scope of protection of this application. It should be noted that, in the absence of conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0033] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0034] Example 1

[0035] The method embodiment provided in the first embodiment of the present application can be executed in an air conditioner, a ducted air conditioner, a refrigeration controller or a similar equipment management device. Taking the operation on the air conditioner as an example, Figure 1 This is a hardware structure diagram of an air conditioner according to an embodiment of the present invention. Figure 1 As shown, the air conditioner may include one or more ( Figure 1Only one is shown) a processor 102 (the processor 102 may include but is not limited to a microprocessor MCU or a programmable logic device FPGA and other processing devices) and a memory 104 for storing data. Optionally, the air conditioner may also include a transmission device 106 and an input / output device 108 for communication functions. It will be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above air conditioner. Figure 1 More or fewer components than shown, or with Figure 1 Different configurations shown.

[0036] Memory 104 can be used to store air conditioning programs, such as software programs and modules of application software, such as the air conditioning program corresponding to a method for faulty operation of an air conditioner in an embodiment of the present invention. Processor 102 executes the air conditioning program stored in memory 104 to perform various functional applications and data processing, thereby implementing the above-mentioned method. Memory 104 may include high-speed random access memory (RAM) and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some embodiments, memory 104 may further include memory remotely located relative to processor 102, and such remote memory may be connected to the air conditioner via a network. Examples of such networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0037] The transmission device 106 is used to receive or send data via a network. A specific example of the aforementioned network may include a wireless network provided by the air conditioner's communications provider. In one embodiment, the transmission device 106 includes a network interface controller (NIC), which can be connected to other network devices via a base station to enable communication with the Internet. In one embodiment, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0038] In this embodiment, a method for operating an air conditioner in a faulty state is provided. Figure 2 FIG. 1 is a flow chart of a fault operation method of an air conditioner according to an embodiment of the present invention. Figure 2 As shown, the process includes the following steps:

[0039] Step S202, determining the environmental sensor of the air conditioning unit that has failed;

[0040] Optionally, the environmental sensor may be a temperature sensor or a humidity sensor, including an indoor temperature sensor, an indoor humidity sensor, an outdoor temperature sensor, and an outdoor humidity sensor.

[0041] Optionally, the air conditioning unit can be a multi-split air conditioner or a central air conditioner, including at least one outdoor unit and multiple indoor units.

[0042] Step S204, calculating the analog value of the environmental sensor;

[0043] Step S206, using the simulation value to configure the real-time detection value of the environmental sensor;

[0044] The real-time detection value of the environmental sensor is configured by the simulation value, replacing the abnormal detection value or the empty detection value collected by the environmental sensor in the fault state, and the real environmental state of the air-conditioning unit can be reflected by the simulation value.

[0045] Step S208: Using the real-time detection value to control the operation of the air-conditioning unit.

[0046] Through the above steps, the environmental sensor of the air-conditioning unit that has failed is determined; the analog value of the environmental sensor is calculated; the real-time detection value of the environmental sensor is configured using the analog value; and the operation of the air-conditioning unit is controlled using the real-time detection value. By calculating the analog value of the environmental sensor that has failed and replacing it with the actual or abnormal real-time detection value, even if the sensor of the air-conditioning unit fails, the correct environmental parameter value can still be received, so that the air-conditioning unit can operate adaptively instead of operating according to the fixed strategy before the abnormal value or operating according to the abnormal value, thereby improving the fault tolerance of the air-conditioning unit, solving the technical problem in the related art that the environmental sensor of the air-conditioning unit cannot be adaptively controlled based on actual environmental changes when it fails, improving the stability of the operation of the air-conditioning unit, and also improving user comfort.

[0047] Figure 3 This is a system schematic diagram of an air-conditioning unit in an embodiment of the present invention. The air-conditioning unit includes an outdoor unit (external unit) and an indoor unit (indoor unit). Control is achieved between the outdoor unit and the indoor unit through temperature and humidity feedback. The outdoor unit includes a temperature sensor and an outdoor unit main control, and the indoor unit includes an expansion valve, a fan, a return air temperature sensor, and a humidity sensor.

[0048] In this embodiment, the environmental sensors for determining that the air-conditioning unit has failed may be, but are not limited to: an indoor temperature sensor for determining that the air-conditioning unit has failed; an indoor humidity sensor for determining that the air-conditioning unit has failed; an outdoor temperature sensor for determining that the air-conditioning unit has failed; and an outdoor humidity sensor for determining that the air-conditioning unit has failed.

[0049] The indoor temperature sensor and the indoor humidity sensor are arranged on any one of the indoor units of the air-conditioning unit, and the outdoor humidity sensor and the outdoor temperature sensor are arranged on the outdoor unit of the air-conditioning unit.

[0050] By adopting the solution of this embodiment, the positioning accuracy of the air conditioning sensor failure can be improved by determining the faulty temperature sensor and humidity sensor on the indoor or outdoor unit of the air conditioning unit, and then the abnormal real-time detection value collected by it can be configured by analog value, thereby improving the fault tolerance of the air conditioning unit to environmental sensors.

[0051] In one implementation scenario of this embodiment, the environmental sensor is an indoor environmental sensor, and calculating the analog value of the environmental sensor includes: locating the faulty indoor unit where the indoor environmental sensor is located and normal indoor units other than the faulty indoor unit in the air-conditioning unit, wherein the air-conditioning unit includes multiple indoor units; obtaining the real-time capacity output of the outdoor unit of the air-conditioning unit, and obtaining the first real-time capacity output of the normal indoor unit, wherein the real-time capacity output of the outdoor unit is used to characterize the amount of heat removed from the air by the outdoor unit per unit time, and the first real-time capacity output is used to characterize the amount of heat removed from the air by the normal indoor unit per unit time; using the real-time capacity output of the outdoor unit and the first real-time capacity output to calculate the second real-time capacity output of the faulty indoor unit, wherein the second real-time capacity output is used to characterize the amount of heat removed from the air by the faulty indoor unit per unit time; and calculating the analog value of the environmental sensor based on the second real-time capacity output.

[0052] The real-time capacity output of this embodiment is the cooling / heating capacity of the indoor unit, which is an indicator of the amount of air heat removed per unit time, and the unit is watt (W).

[0053] During normal operation, the AC unit calculates the real-time capacity output of each indoor unit using the cooling / heating capacity formula built into the indoor unit program and real-time monitored data such as the indoor ambient temperature, indoor unit inlet and outlet temperatures, and indoor fan speed. Simultaneously, the outdoor unit's real-time capacity output is calculated using the cooling / heating capacity formula built into the outdoor unit program and real-time monitored data such as high-pressure and low-pressure, compressor frequency, vapor separator inlet and outlet temperatures, subcooler liquid outlet temperature, and refrigerant flow rate. If an indoor environmental sensor in the AC unit fails, the unit determines whether the reported fault is a temperature sensor or humidity sensor failure.

[0054] After determining the faulty indoor unit and the normal indoor unit, the capacity output value of the faulty indoor unit is calculated based on the normal indoor unit capacity output value and the outdoor unit capacity output value at the current moment, and then the current indoor ambient temperature or indoor ambient humidity is reversely calculated through the formula.

[0055] Calculating the second real-time capability output of the faulty indoor unit using the real-time capability output of the external unit and the first real-time capability output includes: calculating the difference between the real-time capability output of the external unit and the first real-time capability output of all normal indoor units, and determining the difference as the second real-time capability output of the faulty indoor unit.

[0056] In an example, an air-conditioning unit includes one outdoor unit and three indoor units (indoor unit 1, indoor unit 2, and indoor unit 3). The real-time capacity output of the outdoor unit is the outdoor unit capacity Q, and the real-time capacity outputs of the indoor units are indoor unit 1 capacity Q1, indoor unit 2 capacity Q2, and indoor unit 3 capacity Q3. Based on the principle of conservation of real-time capacity outputs of indoor and outdoor units, it can be obtained that: outdoor unit capacity Q = indoor unit 1 capacity Q1 + indoor unit 2 capacity Q2 + indoor unit 3 capacity Q3.

[0057] For example, the capacity of a one-to-three multi-split air conditioning unit before and after the failure of indoor unit 1 is shown in Table 1:

[0058] Table 1

[0059] External unit capacity Q Internal unit 1 capacity Q1 Internal unit 2 capacity Q2 Internal unit 3 capability Q3 Normal operation 3600W 1200W 1200W 1200W Fault operation 3800W Q1=Q-Q2-Q3 1200W 1200W

[0060] After the indoor unit 1 of the air-conditioning unit fails, the second real-time capacity output of the indoor unit is Q1=Q-Q2-Q3=3800W-1200W-1200W=1400W.

[0061] By adopting the solution of this embodiment, the real-time capacity output of the remaining faulty indoor units is calculated through the total real-time capacity output of the outdoor units of the air-conditioning unit and the real-time capacity output of some normal indoor units, and then the analog value of the environmental sensor of the faulty indoor unit is calculated, thereby realizing the numerical simulation of the indoor environmental sensor in the faulty state and avoiding the missing or abnormal real-time detection value of the indoor environmental sensor after a fault occurs.

[0062] In one example, calculating the analog value of the environmental sensor based on the second real-time capability output includes: determining the fan speed of the faulty indoor unit, the first pressure value on the exhaust side and the second pressure value on the suction side of the compressor, and the indoor temperature value or the indoor humidity value; calculating the first analog value of the indoor humidity sensor based on the fan speed, the first pressure value, the second pressure value, and the indoor temperature value, or calculating the second analog value of the indoor temperature sensor based on the fan speed, the first pressure value, the second pressure value, and the indoor humidity value.

[0063] In this example, the terminal heat transfer model is used to calculate the simulation value of the environmental sensor. Optionally, the terminal heat transfer model can be a neural network model or function obtained through self-learning or training.

[0064] The terminal heat transfer model is understood as a function of the indoor unit capacity Q on the indoor unit fan speed, indoor temperature, indoor humidity, and high / low pressure Q = f(speed, room temperature, humidity, high pressure / low pressure), where high pressure refers to the pressure on the exhaust side of the compressor, that is, the pressure of the refrigerant after it is discharged from the compressor, and low pressure refers to the pressure on the suction side of the compressor, that is, the pressure before the refrigerant enters the compressor. The second real-time capacity output Q of the faulty indoor unit is taken into account. The indoor temperature or indoor humidity can be inversely calculated through the terminal heat transfer model. When calculating the indoor temperature, the indoor humidity needs to be known, and when calculating the indoor humidity, the indoor temperature needs to be known.

[0065] By adopting the solution of this embodiment, the terminal heat transfer model built into the air-conditioning unit is used to calculate the indoor ambient temperature / humidity in real time through the fan speed of the faulty indoor unit and the internal and external pressures of the compressor, thereby improving the accuracy of the analog value of the environmental sensor in calculating the fault state.

[0066] In an implementation scenario of this embodiment, the environmental sensor is an outdoor environmental sensor, and calculating the analog value of the environmental sensor includes: reading the adjacent outdoor environmental parameter values ​​of the outdoor environmental sensor in the period before the failure, and calling the state transition probability table of the corresponding outdoor environmental parameter type, wherein the state transition probability table is used to count the transition probabilities of the historical outdoor environmental parameter values ​​recorded by the outdoor environmental sensor at historical times in different parameter intervals; and using the adjacent outdoor environmental parameter values ​​and the state transition probability table to predict the analog value of the outdoor environmental sensor in the current period.

[0067] Optionally, the outdoor environment sensor may be an outdoor temperature sensor and an outdoor humidity sensor. The outdoor temperature sensor is taken as an example for description, and the humidity sensor is similar.

[0068] The state transition probability table includes probability values ​​of two historical outdoor environment parameter values ​​of multiple adjacent periods transitioning from one parameter interval to another parameter interval.

[0069] The adjacent outdoor environmental parameter values ​​of the outdoor environmental sensor in the period before the fault are normal / accurate outdoor environmental parameter values.

[0070] By adopting the solution of this embodiment, the simulation value after the fault is predicted by using the state transition probability table and the adjacent outdoor environmental parameter values ​​of the outdoor environmental sensor before the fault, a numerical simulation solution for the outdoor environmental sensor is implemented, which avoids the loss or abnormality of real-time detection values ​​caused by the outdoor environmental sensor after a fault occurs.

[0071] In one example, using the adjacent outdoor environment parameter values ​​and the state transition probability table to predict the simulation value of the outdoor environment sensor in the current cycle includes: locating the target row of the historical outdoor environment parameter value in the state transition probability table, wherein the state transition probability table includes multiple rows, each row corresponding to a parameter interval; determining the prediction interval of the simulation value to be predicted in the state transition probability table based on the target row, and reading the upper limit and lower limit values ​​of the prediction interval in the state transition probability table; generating a random number; and using the upper limit value, the lower limit value, and the random number to calculate the simulation value of the outdoor environment sensor in the current cycle.

[0072] By determining the position of the prediction row in the state transition probability table, the corresponding prediction interval can be determined, and each row in the state transition probability table corresponds to a parameter interval. Optionally, determining the prediction interval of the simulation value to be predicted in the state transition probability table based on the target row includes: using a random algorithm to generate a target random value m between 0 and 1, and searching the state transition probability table for a prediction interval k that meets the following conditions: the sum of the probability values ​​of the first k+1 columns of the target row Si is greater than m and the sum of the probability values ​​of the first k columns is less than m.

[0073] Taking the outdoor temperature sensor as an example, based on the outdoor temperature value X at the moment before the sensor failure; determine the target row Si of the state transition probability table where X is located; determine the row Sk (prediction interval) where the analog value of the temperature at the current moment is located: generate a random number m between 0 and 1; in the state transition probability table, find a k value so that the sum of the probability values ​​of the first k+1 columns of the row where Si is located is just greater than m, and the sum of the probability values ​​of the first k columns is less than m; generate the analog value X' of the outdoor temperature at the current moment: generate a random number r between 0 and 1; X'=ai+r*(bi-ai), where r is a random number, bi is the upper limit value, and ai is the lower limit value.

[0074] By adopting the solution of this embodiment, the simulation value of the outdoor environment sensor in the current period is estimated using random values ​​and the state transition probability table, so that the estimated simulation value is between the maximum and minimum values ​​of the historical time, thereby improving the rationality of the simulation value.

[0075] Optionally, before calling the state transition probability table corresponding to the outdoor environment parameter type, it also includes: obtaining a set of historical environment parameter values ​​collected by the outdoor environment sensor; dividing the set of historical environment parameter values ​​into multiple parameter intervals with continuous values, wherein each parameter interval includes several historical environment parameter values; for each first historical environment parameter value in each parameter interval, determining the environmental parameter value of each first historical environment parameter value in the next cycle, and obtaining several second historical environment parameter values; calculating the distribution probability of the several second historical environment parameter values ​​in each parameter interval; using the parameter interval as metadata, and using all distribution probabilities of all parameter intervals to construct the state transition probability table.

[0076] In this embodiment, the state transition probability table is constructed with parameter intervals as metadata of rows and columns, with each row and column corresponding to an interval range of historical environmental parameter values.

[0077] In one example, a state transition probability table is constructed based on historical temperature data: based on the historical temperature data set of outdoor temperature, n equal parts are divided between the maximum value Xmax and the minimum value Xmin, that is, [Xmin, Xmax] = S1∪S2∪...∪Sn, and the lower and upper boundaries of each interval Si correspond to ai, bi; the state transition probability table is obtained: the number Nij of historical temperature data that transition from interval i to another interval j (j∈[1,2,…n]) in the historical data is counted respectively, and the value is divided by the number Ni of temperatures included in interval i to obtain the probability value of interval i transitioning to interval j.

[0078] For example, there are 100 consecutive historical outdoor temperature data. Among these 100 data, the maximum value is 39°C and the minimum value is 30°C. Now divide it into 9 temperature intervals, namely S1 = [30, 31), S2 = [31, 32) ..., S9 = [38, 39], where the temperature data included in each interval are N1 = 10, N2 = 20, N3 = 25, N4 = 15, N5 = 10, N6 = 5, N7 = 5, N8 = 5, and N9 = 5. For S1, among the N1=10 temperature data, N11=2 temperatures at the next moment still belong to S1, N12=6 temperatures belong to the S2 interval, N13=2 temperatures belong to the S3 interval, and 0 temperatures belong to other intervals. Therefore, the state transition rate from interval S1 to S1 is N11 / N1=1 / 5, the state transition rate from S1 to S2 is N12 / N1=3 / 5, and the state transition rate from S1 to S3 is N13 / N1=1 / 5, which corresponds to the first three probability values ​​of the S1 row in the table below. The other probability values ​​in this row are 0. For other intervals Si, the same logic is used to construct a state transition probability table with n rows and n columns as shown in Table 2:

[0079] Table 2

[0080] interval S1 S2 ... Sn S1 N11 / N1 N12 / N1 ... N1n / N1 S2 N21 / N2 N22 / N2 ... N2n / N2 ... ... ... ... ... Sn Nn1 / Nn Nn2 / Nn ... Nnn / Nn

[0081] Figure 4 This is a flowchart for predicting the analog value of an outdoor temperature sensor in an embodiment of the present invention, including: constructing a state transition probability table based on historical temperature data; obtaining a temperature value X at a previous moment; determining the row interval Si of the state transition probability table where X is located; generating a random number m from 0 to 1; accumulating the probability values ​​of the first k+1 columns of the Si row so that the probability value is just greater than m; determining that the temperature value at the current moment is in the Sk interval; generating a random number r from 0 to 1; and determining that the temperature value at the current moment is: the lower boundary of the Sk interval + r*(upper boundary - lower boundary).

[0082] By adopting the solution of this embodiment, a state transition probability table is constructed in advance using a set of historical environmental parameter values ​​collected by the outdoor environmental sensor, and then simulation value prediction can be performed based on the state transition probability table when a fault occurs in the outdoor environmental sensor, thereby improving the efficiency of generating simulation values ​​of the faulty outdoor environmental sensor.

[0083] In this embodiment, when an indoor unit temperature sensor / humidity sensor failure is reported, the air conditioner's built-in cooling / heating capacity formula is used to calculate the indoor ambient temperature / humidity in real time. This calculated value replaces the missing measured value and is fed back to the host computer for dynamic real-time control. If an outdoor unit temperature sensor fails, a Markov-Monte Carlo model learned from historical data is used to generate a simulated post-failure outdoor temperature to replace the missing measured value, maintaining the ability to dynamically adjust the temperature. Figure 5 This is a flow chart of the operation of the temperature / humidity sensor failure in an embodiment of the present invention, including: when the air-conditioning unit is normal, the real-time capacity of each indoor unit and outdoor unit is calculated in real time to determine whether there is a sensor failure. If so, it is determined whether the failure is a failure of the indoor unit temperature / humidity sensor or a failure of the outdoor unit temperature sensor. If it is a failure of the indoor unit temperature / humidity sensor, the indoor temperature / humidity is calculated using the capacity of the outdoor unit and the normal indoor unit, and the indoor unit temperature / humidity sensor failure is reported; if it is a failure of the outdoor unit temperature sensor, the current outdoor temperature is generated using the state transition table, and the outdoor unit temperature sensor failure is reported; if it is other failures, the corresponding fault code is reported and the unit is shut down.

[0084] This embodiment solves the problem of an air conditioner's temperature / humidity sensor failure or anomaly preventing the unit's main control system from adapting to environmental changes and autonomously adjusting the temperature. Even if a sensor fails, the main control algorithm still receives the correct temperature / humidity, enabling adaptive operation rather than a fixed strategy based on the outlier, improving user comfort. This also prevents data contamination uploaded by sensors to the cloud. Data from non-downtime periods can still be used for statistical analysis, just like data from other normal time periods.

[0085] Through the description of the above embodiments, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus the necessary general hardware platform, and of course it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for enabling a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in each embodiment of the present invention.

[0086] Example 2

[0087] This embodiment also provides an air conditioner fault operation device and an air conditioner unit. These devices are used to implement the above-mentioned embodiments and preferred embodiments, and details already described will not be repeated. As used below, the term "module" may refer to a combination of software and hardware that implements the specified functions. Although the devices described in the following embodiments are preferably implemented in software, implementation using hardware, or a combination of software and hardware, is also contemplated.

[0088] Figure 6 This is a structural block diagram of a fault operation device for an air conditioner according to an embodiment of the present invention. Figure 6 Shown, including:

[0089] A determination module 60 is used to determine an environmental sensor of the air conditioning unit that has failed;

[0090] A calculation module 62, configured to calculate the analog value of the environmental sensor;

[0091] a configuration module 64 for configuring the real-time detection value of the environmental sensor using the simulation value;

[0092] The control module 66 is configured to control the operation of the air-conditioning unit using the real-time detection value.

[0093] Optionally, the determination module includes one of the following: a first determination unit, used to determine the indoor temperature sensor of the air-conditioning unit that has failed; a second determination unit, used to determine the indoor humidity sensor of the air-conditioning unit that has failed; a third determination unit, used to determine the outdoor temperature sensor of the air-conditioning unit that has failed; and a fourth determination unit, used to determine the outdoor humidity sensor of the air-conditioning unit that has failed.

[0094] Optionally, the environmental sensor is an indoor environmental sensor, and the calculation module includes: a positioning unit, used to locate the faulty indoor unit where the indoor environmental sensor is located and normal indoor units other than the faulty indoor unit in the air-conditioning unit, wherein the air-conditioning unit includes multiple indoor units; a first acquisition unit, used to obtain the real-time capacity output of the outdoor unit of the air-conditioning unit, and obtain the first real-time capacity output of the normal indoor unit, wherein the real-time capacity output of the outdoor unit is used to characterize the heat removed from the air by the outdoor unit per unit time, and the first real-time capacity output is used to characterize the heat removed from the air by the normal indoor unit per unit time; a first calculation unit, used to calculate the second real-time capacity output of the faulty indoor unit using the real-time capacity output of the outdoor unit and the first real-time capacity output, wherein the second real-time capacity output is used to characterize the heat removed from the air by the faulty indoor unit per unit time; a second calculation unit, used to calculate the analog value of the environmental sensor based on the second real-time capacity output.

[0095] Optionally, the second calculation unit includes: a determination subunit, used to determine the fan speed of the faulty indoor unit, the first pressure value on the exhaust side and the second pressure value on the suction side of the compressor, and the indoor temperature value or the indoor humidity value; a calculation subunit, used to calculate the first analog value of the indoor humidity sensor based on the fan speed, the first pressure value, the second pressure value, and the indoor temperature value, or to calculate the second analog value of the indoor temperature sensor based on the fan speed, the first pressure value, the second pressure value, and the indoor humidity value.

[0096] Optionally, the environmental sensor is an outdoor environmental sensor, and the calculation module includes: a processing unit, used to read the adjacent outdoor environmental parameter values ​​of the outdoor environmental sensor in the period before the fault, and call the state transition probability table of the corresponding outdoor environmental parameter type, wherein the state transition probability table is used to count the transition probabilities of historical outdoor environmental parameter values ​​recorded by the outdoor environmental sensor at historical times in different parameter intervals; a prediction unit, used to use the adjacent outdoor environmental parameter values ​​and the state transition probability table to predict the simulation value of the outdoor environmental sensor in the current period.

[0097] Optionally, the prediction unit includes: a positioning subunit, used to locate the target row of the historical outdoor environment parameter value in the state transition probability table, wherein the state transition probability table includes multiple rows, each row corresponding to a parameter interval; a processing subunit, used to determine the prediction interval of the simulation value to be predicted in the state transition probability table based on the target row, and read the upper limit value and lower limit value of the prediction interval in the state transition probability table; a generation subunit, used to generate a random number; and a calculation subunit, used to use the upper limit value, the lower limit value, and the random number to calculate the simulation value of the outdoor environment sensor in the current period.

[0098] Optionally, the calculation module also includes: a second acquisition unit, used to obtain a set of historical environmental parameter values ​​collected by the outdoor environmental sensor before the processing unit calls the state transition probability table corresponding to the outdoor environmental parameter type; a division unit, used to divide the set of historical environmental parameter values ​​into multiple parameter intervals with continuous values, wherein each parameter interval includes several historical environmental parameter values; a determination unit, used to determine the environmental parameter value of each first historical environmental parameter value in each parameter interval in the next cycle, and obtain several second historical environmental parameter values; a third calculation unit, used to calculate the distribution probability of the several second historical environmental parameter values ​​in each parameter interval; a construction unit, used to use the parameter interval as metadata and adopt all distribution probabilities of all parameter intervals to construct the state transition probability table.

[0099] This embodiment also provides an air-conditioning unit, including: a determination module for determining an environmental sensor in which a fault occurs in the air-conditioning unit; a calculation module for calculating an analog value of the environmental sensor; a configuration module for configuring a real-time detection value of the environmental sensor using the analog value; and a control module for controlling the operation of the air-conditioning unit using the real-time detection value.

[0100] It should be noted that the above modules can be implemented through software or hardware. For the latter, it can be implemented in the following ways, but not limited to: the above modules are all located in the same processor; or the above modules are located in different processors in any combination.

[0101] Example 3

[0102] An embodiment of the present invention further provides a storage medium storing a computer program, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0103] Optionally, in this embodiment, the storage medium may be configured to store a computer program for executing:

[0104] S1, determining the environmental sensor of the air conditioning unit that is faulty;

[0105] S2, calculating the analog value of the environmental sensor;

[0106] S3, configuring the real-time detection value of the environmental sensor using the simulation value;

[0107] S4, using the real-time detection value to control the operation of the air-conditioning unit.

[0108] Optionally, in this embodiment, the above-mentioned storage medium may include but is not limited to: a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and other media that can store computer programs.

[0109] An embodiment of the present invention further provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0110] Optionally, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0111] Optionally, in this embodiment, the processor may be configured to execute the following steps through a computer program:

[0112] S1, determining the environmental sensor of the air conditioning unit that is faulty;

[0113] S2, calculating the analog value of the environmental sensor;

[0114] S3, configuring the real-time detection value of the environmental sensor using the simulation value;

[0115] S4, using the real-time detection value to control the operation of the air-conditioning unit.

[0116] Optionally, specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation modes, and this embodiment will not be described in detail here.

[0117] The serial numbers of the above embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0118] In the above embodiments of the present application, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0119] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0120] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0121] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0122] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a controller or a network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0123] The above is only a preferred embodiment of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for operating an air conditioner in case of a fault, characterized in that: include: Identify malfunctioning environmental sensors on air conditioning units; Calculating an analog value of the environmental sensor; configuring a real-time detection value of the environmental sensor using the analog value; Using the real-time detection value to control the operation of the air-conditioning unit; Wherein, the environmental sensor is an indoor environmental sensor, and calculating the analog value of the environmental sensor includes: locating the faulty indoor unit where the indoor environmental sensor is located and normal indoor units other than the faulty indoor unit in the air-conditioning unit, wherein the air-conditioning unit includes multiple indoor units; obtaining the real-time capacity output of the outdoor unit of the air-conditioning unit, and obtaining the first real-time capacity output of the normal indoor unit, wherein the real-time capacity output of the outdoor unit is used to characterize the heat removed from the air by the outdoor unit per unit time, and the first real-time capacity output is used to characterize the heat removed from the air by the normal indoor unit per unit time; using the real-time capacity output of the outdoor unit and the first real-time capacity output to calculate the second real-time capacity output of the faulty indoor unit, wherein the second real-time capacity output is used to characterize the heat removed from the air by the faulty indoor unit per unit time; and calculating the analog value of the environmental sensor based on the second real-time capacity output.

2. The method according to claim 1, characterized in that Environmental sensors that determine a malfunction in an air conditioning unit include one of the following: Identify a faulty indoor temperature sensor in an air conditioning unit; Identify a malfunctioning indoor humidity sensor in an air conditioning unit; Identify a faulty outdoor temperature sensor in an air conditioning unit; Identify a faulty outdoor humidity sensor on the air conditioning unit.

3. The method according to claim 1, characterized in that Calculating the analog value of the environmental sensor according to the second real-time capability output includes: Determine the fan speed of the faulty indoor unit, a first pressure value on the exhaust side of the compressor, a second pressure value on the suction side, and an indoor temperature value or an indoor humidity value; A first analog value of the indoor humidity sensor is calculated based on the fan speed, the first pressure value, the second pressure value, and the indoor temperature value, or a second analog value of the indoor temperature sensor is calculated based on the fan speed, the first pressure value, the second pressure value, and the indoor humidity value.

4. The method according to claim 1, wherein The environmental sensor is an outdoor environmental sensor, and calculating the analog value of the environmental sensor includes: Reading adjacent outdoor environmental parameter values ​​of the outdoor environmental sensor in a period before the fault, and calling a state transition probability table corresponding to the outdoor environmental parameter type, wherein the state transition probability table is used to count the transition probabilities of historical outdoor environmental parameter values ​​recorded by the outdoor environmental sensor at historical times in different parameter intervals; The adjacent outdoor environment parameter values ​​and the state transition probability table are used to predict the simulation value of the outdoor environment sensor in the current period.

5. The method according to claim 4, characterized in that Predicting the simulation value of the outdoor environment sensor in the current period using the adjacent outdoor environment parameter value and the state transition probability table includes: Locating a target row of the historical outdoor environment parameter value in the state transition probability table, wherein the state transition probability table includes multiple rows, each row corresponding to a parameter interval; Determining a prediction interval of a simulation value to be predicted in the state transition probability table based on the target row, and reading an upper limit value and a lower limit value of the prediction interval in the state transition probability table; Generate random numbers; The upper limit value, the lower limit value, and the random number are used to calculate a simulation value of the outdoor environment sensor in a current period.

6. The method according to claim 4, characterized in that Before calling the state transition probability table corresponding to the outdoor environment parameter type, the method further includes: Obtaining a set of historical environmental parameter values ​​collected by the outdoor environmental sensor; Dividing the historical environmental parameter value set into a plurality of parameter intervals with continuous values, wherein each parameter interval includes a plurality of historical environmental parameter values; For each first historical environmental parameter value in each parameter interval, determine the environmental parameter value of each first historical environmental parameter value in the next period to obtain a plurality of second historical environmental parameter values; Calculating the distribution probability of the plurality of second historical environmental parameter values ​​in each parameter interval; The parameter interval is used as metadata, and all distribution probabilities of all parameter intervals are used to construct the state transition probability table.

7. A fault operation device for an air conditioner, characterized in that: include: a determination module for determining an environmental sensor of the air conditioning unit that has failed; A calculation module, configured to calculate the analog value of the environmental sensor; a configuration module, configured to configure the real-time detection value of the environmental sensor using the analog value; A control module, configured to control the operation of the air-conditioning unit using the real-time detection value; In which, the environmental sensor is an indoor environmental sensor, and the calculation module includes: a positioning unit, used to locate the faulty indoor unit where the indoor environmental sensor is located and normal indoor units other than the faulty indoor unit in the air-conditioning unit, wherein the air-conditioning unit includes multiple indoor units; a first acquisition unit, used to obtain the real-time capacity output of the outdoor unit of the air-conditioning unit, and obtain the first real-time capacity output of the normal indoor unit, wherein the real-time capacity output of the outdoor unit is used to characterize the heat removed from the air by the outdoor unit per unit time, and the first real-time capacity output is used to characterize the heat removed from the air by the normal indoor unit per unit time; a first calculation unit, used to calculate the second real-time capacity output of the faulty indoor unit using the real-time capacity output of the outdoor unit and the first real-time capacity output, wherein the second real-time capacity output is used to characterize the heat removed from the air by the faulty indoor unit per unit time; a second calculation unit, used to calculate the analog value of the environmental sensor based on the second real-time capacity output.

8. An air conditioning unit, characterized in that: include: a determination module for determining an environmental sensor of the air conditioning unit that has failed; A calculation module, configured to calculate the analog value of the environmental sensor; a configuration module, configured to configure the real-time detection value of the environmental sensor using the analog value; A control module, configured to control the operation of the air-conditioning unit using the real-time detection value; In which, the environmental sensor is an indoor environmental sensor, and the calculation module includes: a positioning unit, used to locate the faulty indoor unit where the indoor environmental sensor is located and normal indoor units other than the faulty indoor unit in the air-conditioning unit, wherein the air-conditioning unit includes multiple indoor units; a first acquisition unit, used to obtain the real-time capacity output of the outdoor unit of the air-conditioning unit, and obtain the first real-time capacity output of the normal indoor unit, wherein the real-time capacity output of the outdoor unit is used to characterize the heat removed from the air by the outdoor unit per unit time, and the first real-time capacity output is used to characterize the heat removed from the air by the normal indoor unit per unit time; a first calculation unit, used to calculate the second real-time capacity output of the faulty indoor unit using the real-time capacity output of the outdoor unit and the first real-time capacity output, wherein the second real-time capacity output is used to characterize the heat removed from the air by the faulty indoor unit per unit time; a second calculation unit, used to calculate the analog value of the environmental sensor based on the second real-time capacity output.

9. A storage medium, characterized in that: The storage medium stores a computer program, wherein the computer program is configured to execute the steps of the fault operation method of the air conditioner according to any one of claims 1 to 6 when the computer program is run.

10. An electronic device comprising a processor, a communication interface, a memory and a communication bus, wherein: The processor, communication interface, and memory communicate with each other via a communication bus; wherein: Memory for storing computer programs; A processor is configured to execute the steps of the fault operation method of the air conditioner according to any one of claims 1 to 6 by running a program stored in a memory.

Images