Environment data processing method and device based on digital twinning and storage medium

Abstract

The invention provides an environment data processing method and device based on digital twinning and a storage medium. The method comprises the following steps: acquiring a temperature time change curve, a humidity time change curve and a pressure time change curve based on historical test environment data of a cloud chamber environment control system to construct a twin simulation operation model of a cloud cabin; a twin operation model is used for simulating the required temperature control duration, the required humidity control duration and the required pressure control duration corresponding to the environment data target value, and through a temperature monitoring subsystem, a humidity monitoring subsystem and a pressure monitoring subsystem, according to the required temperature control duration, the required humidity control duration and the required pressure control duration, the temperature control duration, the humidity control duration and the pressure control duration are controlled. And controlling environmental data of the cloud cabin. The environment data of the cloud cabin can be simulated in advance by using the twin operation model of the cloud chamber environment control system, and the environment data of the cloud cabin is controlled through the monitoring subsystem by using the simulation result, so that the control accuracy of the environment data of the cloud cabin is improved, and the invalid test process is reduced.

Description

Technical Field

[0001] The present application relates to the technical field of cloud chamber environment data processing, and specifically to an environment data processing method, processing equipment and computer-readable storage medium based on digital twins. Background Art

[0002] In order to simulate the physical environment of clouds and fog, the laboratory environmental data of the cloud cabin will be controlled according to the required environmental data (such as temperature, humidity, pressure, etc.). In the related technology, the corresponding instrument or system equipment for controlling the environmental data will be turned on first, and then the corresponding instrument or system equipment for the environmental data will be turned off when it is detected that the environmental data of the cloud cabin reaches the target value; however, the inventors of the present application found in the actual research and development process that there will be a certain time difference between the detection of the environmental data meeting the target value and the shutdown operation, which will lead to inaccurate control of the cloud cabin environmental data. Summary of the invention

[0003] The present application provides an environmental data processing method, processing equipment and computer-readable storage medium based on digital twins, which can improve the control accuracy of cloud cabin environmental data and reduce invalid test processes.

[0004] In a first aspect, the present application provides an environmental data processing method based on digital twins, the method comprising:

[0005] Based on the historical test environment data of the cloud chamber environment control system, a temperature time variation curve, a humidity time variation curve and a pressure time variation curve are obtained, wherein the cloud chamber environment control system includes a cloud chamber, a temperature monitoring subsystem, a humidity monitoring subsystem and a pressure monitoring subsystem;

[0006] Based on the temperature time variation curve, the humidity time variation curve and the pressure time variation curve, construct a twin operation model of the cloud chamber environment control system;

[0007] Obtaining a target value of environmental data of the cloud cabin;

[0008] Obtain the required temperature control time, required humidity control time, and required pressure control time corresponding to the target value of the environmental data simulated by the twin operation model;

[0009] The environmental data of the cloud cabin is controlled by the temperature monitoring subsystem, the humidity monitoring subsystem and the pressure monitoring subsystem according to the required temperature control time, the required humidity control time and the required pressure control time.

[0010] In a second aspect, the present application also provides a processing device, which includes a processor and a memory, wherein a computer program is stored in the memory, and when the processor calls the computer program in the memory, it executes any one of the digital twin-based environmental data processing methods provided in the present application.

[0011] In a third aspect, the present application also provides a computer-readable storage medium on which a computer program is stored, and the computer program is loaded by a processor to execute the digital twin-based environmental data processing method.

[0012] In the present application, by obtaining the temperature time variation curve, humidity time variation curve and pressure time variation curve based on the historical test environment data of the cloud chamber environment control system, the twin operation model of the cloud chamber environment control system is constructed; and the twin operation model is used to simulate the required temperature control time, humidity control time and pressure control time corresponding to the target value of the environment data, and the cloud chamber environment data is controlled according to the required temperature control time, humidity control time and pressure control time corresponding to the target value of the environment data. Thus, on the first hand, the corresponding instruments or system equipment of the cloud chamber can be controlled to be turned on or off according to the required temperature control time, without first detecting that the temperature reaches the target value and then shutting down the refrigeration unit, thereby avoiding the problem of inaccurate temperature control of the cloud chamber due to a certain time difference between detecting that the temperature meets the target value and the shutdown operation, and improving the accuracy of temperature control of the cloud chamber. On the second hand, the corresponding instruments or system equipment of the cloud cabin can be controlled to be turned on or off according to the required humidity control duration, without the need to first detect that the humidity reaches the target value and then close the water vapor generator, the water vapor import outlet valve and the water vapor import inlet valve, so as to avoid the problem of inaccurate cloud cabin humidity control due to a certain time difference between the detection of humidity meeting the target value and the closing operation, thereby improving the accuracy of cloud cabin humidity control. On the third hand, the corresponding instruments or system equipment of the cloud cabin can be controlled to be turned on or off according to the required pressure control duration, without the need to first detect that the pressure reaches the target value and then close the dew point meter isolation valve, so as to avoid the problem of inaccurate cloud cabin pressure control due to a certain time difference between the detection of pressure meeting the target value and the closing operation, thereby improving the accuracy of cloud cabin pressure control. Therefore, this embodiment can use the twin operation model of the cloud chamber environment control system to simulate the environmental data of the cloud cabin in advance, and use the simulation results to control the cloud cabin environmental data through the monitoring subsystem, so as to improve the control accuracy of the cloud cabin environmental data and reduce invalid test processes. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0014] Figure 1 is a schematic block diagram of the structure of a processing device provided in an embodiment of the present application;

[0015] Figure 2 It is a schematic diagram of a framework for the interaction between the cloud chamber environment control system and the processing equipment provided in the embodiment of the present application;

[0016] Figure 3 It is a flow chart of a method for processing environmental data based on digital twins provided in an embodiment of the present application;

[0017] Figure 4 This is a schematic diagram of an embodiment of the flow chart of the temperature monitoring subsystem fault detection in the embodiment of the present application;

[0018] Figure 5 This is a schematic diagram of an embodiment of the flow chart of the humidity monitoring subsystem fault detection in the embodiment of the present application;

[0019] Figure 6 It is a flow chart of an embodiment of fault detection of the pressure monitoring subsystem in the embodiment of the present application. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.

[0021] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0022] In the description of the embodiments of the present application, it should be understood that the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the embodiments of the present application, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.

[0023] In order to enable any person skilled in the art to implement and use the present application, the following description is provided. In the following description, details are listed for the purpose of explanation. It should be understood that those of ordinary skill in the art can recognize that the present application can also be implemented without using these specific details. In other examples, the known process will not be elaborated in detail to avoid unnecessary details that make the description of the present application embodiment obscure. Therefore, the present application is not intended to be limited to the embodiments shown, but is consistent with the widest range of principles and features disclosed in accordance with the embodiments of the present application.

[0024] Embodiments of the present application provide an environmental data processing method, a processing device, and a computer-readable storage medium based on digital twins.

[0025] Some embodiments of the present application are described in detail below in conjunction with the accompanying drawings. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0026] Figure 1 It is a schematic block diagram of the structure of a processing device provided in an embodiment of the present application.

[0027] like Figure 1 As shown, the processing device 100 includes a processor 101 and a memory 102, and the processor 101 and the memory 102 are connected via a bus 103, such as an I2C (Inter-integrated Circuit) bus. The processing device can be a mobile phone, a computer, a server, etc.

[0028] Specifically, the processor 101 is used to provide computing and control capabilities to support the operation of the entire processing device 100. The processor 101 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0029] Specifically, the memory 102 may be a Flash chip, a read-only memory (ROM) disk, an optical disk, a USB flash drive, or a mobile hard disk.

[0030] Those skilled in the art will understand that Figure 1 The structure shown in the figure is merely a block diagram of a partial structure related to the embodiment scheme of the present application, and does not constitute a limitation on the processing device to which the embodiment scheme of the present application is applied. The specific processing device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0031] The processor 101 is used to run a computer program stored in the memory 102, and implements any one of the digital twin-based environmental data processing methods provided in the embodiments of the present application when executing the computer program. For example, the processor 101 is used to run a computer program stored in the memory 102, and can implement the following steps when executing the computer program:

[0032] Based on the historical test environmental data of the cloud chamber environmental control system, the temperature time change curve, the humidity time change curve and the pressure time change curve are obtained, wherein the cloud chamber environmental control system includes a cloud chamber, a temperature monitoring subsystem, a humidity monitoring subsystem and a pressure monitoring subsystem; based on the temperature time change curve, the humidity time change curve and the pressure time change curve, a twin operation model of the cloud chamber environmental control system is constructed; the environmental data target value of the cloud chamber is obtained; the required temperature control time, the required humidity control time and the required pressure control time corresponding to the environmental data target value simulated by the twin operation model are obtained; through the temperature monitoring subsystem, the humidity monitoring subsystem and the pressure monitoring subsystem, the environmental data of the cloud chamber is controlled according to the required temperature control time, the required humidity control time and the required pressure control time.

[0033] It should be noted that technicians in the relevant field can clearly understand that for the convenience and conciseness of description, the specific working process of the processing equipment described above can refer to the corresponding process in the following embodiment of the environmental data processing method based on digital twins, and will not be repeated here.

[0034] In the following, Figure 1 The processing device shown in is used as the execution subject of the digital twin-based environmental data processing method as an example to introduce the digital twin-based environmental data processing method provided in the embodiment of the present application in detail. For the sake of simplicity and convenience of description, the execution subject will be omitted in the subsequent method embodiments. Figure 1 The scenario is only used to explain the digital twin-based environmental data processing method provided in the embodiment of the present application, but does not constitute a limitation on the application scenario of the digital twin-based environmental data processing method provided in the embodiment of the present application.

[0035] Please refer to Figure 2 , Figure 2 It is a framework diagram of the interaction between the cloud chamber environment control system and the processing device provided in the embodiment of the present application. The cloud chamber environment control system 200 includes at least a cloud chamber 201, a temperature monitoring subsystem 202, a humidity monitoring subsystem 203 and a pressure monitoring subsystem 204. The simulation device 100 can exchange information through the temperature monitoring subsystem 202, the humidity monitoring subsystem 203 and the pressure monitoring subsystem 204 respectively (for example, sending a temperature control instruction to the temperature monitoring subsystem 202, sending a humidity control instruction to the humidity monitoring subsystem 203, and sending a humidity control instruction to the pressure monitoring subsystem 204 to monitor and / or control the temperature, humidity and pressure of the cloud chamber 204).

[0036] See also Figure 3 , Figure 3is a flowchart of a method for processing environmental data based on digital twins provided in an embodiment of the present application. Figure 2 The processing device shown is used as the execution subject of the method, which will be omitted in the following text. The digital twin-based environmental data processing method includes steps 301 to 305, wherein:

[0037] 301. Based on the historical test environment data of the cloud chamber environment control system, obtain the temperature time change curve, humidity time change curve and pressure time change curve.

[0038] Among them, the cloud chamber environmental control system includes a cloud cabin, a temperature monitoring subsystem, a humidity monitoring subsystem and a pressure monitoring subsystem.

[0039] The historical test environment data includes the temperature, humidity, pressure and other data at each time point of each test. By fitting the temperature, humidity, pressure and other data at each time point of each test, the relationship between temperature change and time is simulated to obtain the temperature-time change curve, the relationship between humidity change and time is simulated to obtain the humidity-time change curve, and the relationship between pressure change and time is simulated to obtain the pressure-time change curve.

[0040] In order to effectively use the cloud chamber for testing (such as using the cloud chamber to simulate the cloud environment and then enter the test to verify the particle nucleation in the cloud), the environmental data of the cloud chamber (such as temperature, humidity and pressure) will be controlled in advance, and the test will be started when the cloud chamber reaches the target temperature, target humidity and target pressure. Among them, the opening and closing of the refrigeration unit of the cloud chamber is controlled by the temperature monitoring subsystem to control the temperature of the cloud chamber; the opening and closing of the water vapor generator, the water vapor inlet valve and the water vapor inlet valve of the cloud chamber are controlled by the humidity monitoring subsystem to control the humidity of the cloud chamber; the opening and closing of the dew point meter isolation valve of the cloud chamber is controlled by the pressure monitoring subsystem to control the pressure of the cloud chamber.

[0041] 302. Construct a twin operation model of the cloud chamber environment control system based on the temperature time variation curve, the humidity time variation curve, and the pressure time variation curve.

[0042] Among them, the twin operation model is a digital model used to simulate the operation of the cloud chamber environment control system. By utilizing the temperature-time change curve, humidity-time change curve and pressure-time change curve, as well as simulation technology and other means, the cloud chamber environment control system in the real world is simulated to obtain the twin operation model.

[0043] Specifically, the twin operation model includes a digital model of the cloud cabin, a digital model of the temperature monitoring subsystem, a digital model of the humidity monitoring subsystem, and a digital model of the pressure monitoring subsystem, wherein: 1) according to the temperature-time variation curve, it is converted into first simulation data of the relationship between the temperature change of the cloud cabin and the opening time of the refrigeration unit of the cloud cabin; according to the humidity-time variation curve, it is converted into second simulation data of the relationship between the humidity change of the cloud cabin and the opening time of the water vapor generator of the cloud cabin, the opening time of the water vapor introduction outlet valve, and the opening time of the water vapor introduction inlet valve; according to the pressure-time variation curve, it is converted into second simulation data of the relationship between the pressure change of the cloud cabin and the opening time of the dew point meter isolation valve of the cloud cabin. 1) The third simulation data of the relationship between the time length; the first simulation data, the second simulation data and the third simulation data are used as the digital model of the cloud cabin; 2) The action data of the temperature monitoring subsystem controlling the refrigeration unit of the cloud cabin is simulated by digital representation to obtain the digital model of the temperature monitoring subsystem; 3) The action data of the humidity monitoring subsystem controlling the water vapor generator, the water vapor inlet valve and the water vapor inlet valve of the cloud cabin is simulated by digital representation to obtain the digital model of the humidity monitoring subsystem; 4) The action data of the pressure monitoring subsystem controlling the dew point meter isolation valve of the cloud cabin is simulated by digital representation to obtain the digital model of the pressure monitoring subsystem. In this way, the twin operation model of the cloud chamber environment control system can be obtained.

[0044] 303. Obtain a target value of environmental data of the cloud cabin.

[0045] Among them, the environmental data target values ​​include temperature target value, humidity target value and pressure target value.

[0046] Among them, the temperature target value is the target value that the cloud cabin temperature needs to reach before entering the test.

[0047] Among them, the humidity target value is the target value that the cloud cabin humidity needs to reach before entering the test.

[0048] Among them, the pressure target value is the target value that the cloud cabin pressure needs to reach before entering the test.

[0049] Specifically, before the test, the temperature target value, humidity target value and pressure target value set by the user can be obtained as the environmental data target value. For example, if the cloud cabin temperature T needs to be controlled to reach -20°C, the cloud cabin humidity H needs to reach 80%, and the cloud cabin pressure P needs to reach 800Pa before entering the test, the cloud cabin temperature T = -20°C, the cloud cabin humidity H = 80%, and the cloud cabin pressure P = 800Pa can be used as the environmental data target value of the cloud cabin.

[0050] 304. Obtain the required temperature control time, required humidity control time, and required pressure control time corresponding to the twin operation model simulation to achieve the environmental data target value.

[0051] Among them, the environmental data target values ​​include temperature target value, humidity target value and pressure target value.

[0052] Specifically, by running the twin operation model, on the one hand, the total time it takes for the cloud cabin to reach the temperature target value is simulated as the temperature control time required for the cloud cabin to reach the temperature target value. On the other hand, the total time it takes for the cloud cabin to reach the humidity target value is simulated as the humidity control time required for the cloud cabin to reach the humidity target value. On the other hand, the total time it takes for the cloud cabin to reach the humidity target value is simulated as the humidity control time required for the cloud cabin to reach the humidity target value.

[0053] 305. Control the environmental data of the cloud cabin according to the required temperature control time, the required humidity control time, and the required pressure control time through the temperature monitoring subsystem, the humidity monitoring subsystem, and the pressure monitoring subsystem.

[0054] Exemplarily, step 305 may specifically include the following steps 3051 to 3053:

[0055] 3051. Through the temperature monitoring subsystem, the refrigeration unit of the cloud cabin is controlled to be turned on and off according to the required temperature control time to control the temperature of the cloud cabin.

[0056] Specifically, the processing device may send a temperature control instruction carrying the required temperature control duration to the temperature monitoring subsystem, wherein the temperature control instruction is used to control the temperature monitoring subsystem to control the opening and closing of the refrigeration unit of the cloud cabin according to the temperature simulation duration. After receiving the temperature control instruction, the temperature monitoring subsystem controls the refrigeration unit of the cloud cabin to turn on; when the opening duration of the refrigeration unit of the cloud cabin reaches the required temperature control duration, the temperature monitoring subsystem controls the refrigeration unit of the cloud cabin to turn off so that the cloud cabin reaches the temperature target value.

[0057] 3052. Through the humidity monitoring subsystem, the opening and closing of the water vapor generator, the water vapor inlet outlet valve and the water vapor inlet inlet valve of the cloud cabin are controlled according to the required humidity control time to control the humidity of the cloud cabin.

[0058] Specifically, the processing device may send a humidity control instruction carrying the required humidity control duration to the humidity monitoring subsystem, wherein the humidity control instruction is used to control the humidity monitoring subsystem to control the opening and closing of the water vapor generator, the water vapor introduction outlet valve, and the water vapor introduction inlet valve of the cloud cabin according to the humidity simulation duration. After receiving the humidity control instruction, the humidity monitoring subsystem controls the water vapor generator, the water vapor introduction outlet valve, and the water vapor introduction inlet valve of the cloud cabin to open; when the opening duration of the water vapor generator, the water vapor introduction outlet valve, and the water vapor introduction inlet valve of the cloud cabin reaches the required humidity control duration, the humidity monitoring subsystem controls the water vapor generator, the water vapor introduction outlet valve, and the water vapor introduction inlet valve of the cloud cabin to close, so that the cloud cabin reaches the humidity target value.

[0059] 3053. Through the pressure monitoring subsystem, the opening and closing of the dew point meter isolation valve of the cloud cabin is controlled according to the required pressure control time to control the pressure of the cloud cabin.

[0060] Specifically, the processing device can send a pressure control instruction carrying the required pressure control duration to the pressure monitoring subsystem, wherein the pressure control instruction is used to control the pressure monitoring subsystem to control the opening and closing of the dew point meter isolation valve of the cloud cabin according to the pressure simulation duration. After receiving the pressure control instruction, the pressure monitoring subsystem controls the dew point meter isolation valve of the cloud cabin to open; when the opening duration of the dew point meter isolation valve of the cloud cabin reaches the required pressure control duration, the pressure monitoring subsystem controls the dew point meter isolation valve of the cloud cabin to close, so that the cloud cabin reaches the pressure target value.

[0061] Furthermore, after sending the temperature control command to the temperature monitoring subsystem, the twin operation model of the cloud chamber environment control system can be used to detect whether the temperature monitoring subsystem is faulty, so as to avoid the problem that the cloud chamber cannot accurately reach the temperature target value due to the fault of the temperature monitoring subsystem, thereby avoiding the problem of invalid test caused by the cloud chamber failing to reach the temperature target value normally. Figure 4 As shown, detecting whether the temperature monitoring subsystem is faulty may be performed as shown in steps 401 to 404:

[0062] 401. After the first opening time point of the refrigeration unit, obtain the actual temperature of the cloud cabin at the current time point and the first opening time length of the refrigeration unit at the current time point.

[0063] The first opening duration refers to the accumulated opening duration of the refrigeration unit of the cloud cabin from the time when the temperature monitoring subsystem controls the refrigeration unit of the cloud cabin to the current time point.

[0064] Specifically, the temperature monitoring subsystem can control the temperature of the cloud cabin by controlling the opening and closing of the refrigeration unit of the cloud cabin, and can monitor the temperature of the cloud cabin at each time point in real time (such as monitoring the temperature of the cloud cabin once every preset monitoring time of 0.01ms), so as to obtain the actual temperature of the cloud cabin at the current time point; after the temperature monitoring subsystem controls the opening of the refrigeration unit of the cloud cabin, it counts the accumulated opening time of the refrigeration unit of the cloud cabin at each time point in real time, so as to obtain the first opening time of the refrigeration unit at the current time point. The temperature monitoring subsystem feeds back the first opening time at the current time point and the actual temperature of the cloud cabin at the current time point to the processing device in real time; thus, the processing device can obtain the actual temperature of the cloud cabin at the current time point and the first opening time at the current time point.

[0065] 402. Obtain the cloud cabin simulation temperature corresponding to the first opening time of the twin operation model as the cloud cabin simulation temperature at the current time point.

[0066] Among them, the temperature of the cloud cabin is obtained by simulating the twin operation model when simulating the temperature of the cloud cabin.

[0067] Specifically, the twin operation model is used to simulate the opening of the refrigeration unit of the cloud cabin. When the twin operation model simulates the opening of the refrigeration unit of the cloud cabin for a first opening time, the cloud cabin simulated temperature of the twin operation model at this time is recorded as the cloud cabin simulated temperature at the current time point.

[0068] 403. Obtain a temperature fault deviation threshold at the current time point.

[0069] Exemplarily, in order to avoid the problem of inaccurate fault identification caused by using the same temperature fault deviation threshold for different temperature amplitudes, step 403 may include the following steps 4031-4032:

[0070] 4031. Obtain a temperature fault relationship equation of the temperature monitoring subsystem.

[0071] Among them, the temperature fault relationship formula is used to indicate the relationship between the cloud cabin simulation temperature and the temperature fault deviation threshold; in the temperature fault relationship formula, the higher the cloud cabin simulation temperature, the larger the temperature fault deviation threshold; conversely, the lower the cloud cabin simulation temperature, the smaller the temperature fault deviation threshold.

[0072] Therefore, the temperature fault deviation threshold can be dynamically determined in combination with the amplitude of the simulated temperature of the cloud cabin at the current time point, avoiding the use of a unified temperature fault deviation threshold to determine whether there is a fault at different time points. Different temperature fault deviation thresholds can be set according to the measurement errors under different temperature amplitudes, thereby avoiding the problem that the temperature anomaly cannot be identified due to a small temperature amplitude but the temperature fault deviation threshold is set too high, and avoiding the problem that the temperature anomaly cannot be identified due to a large temperature amplitude but the temperature fault deviation threshold is set too low, thereby improving the temperature fault recognition rate.

[0073] 4032. Substitute the simulated temperature of the cloud cabin at the current time point into the temperature fault relationship equation to calculate the temperature fault deviation threshold at the current time point.

[0074] In some embodiments, a functional relationship between the cloud cabin simulation temperature and the temperature fault deviation threshold can be constructed, such as d1=a*T (where d1 is the temperature fault deviation threshold, a is the coefficient, and T is the cloud cabin simulation temperature), as the temperature fault relationship of the temperature monitoring subsystem. Then, the cloud cabin simulation temperature at the current time point can be substituted into the temperature fault relationship to calculate the temperature fault deviation threshold at the current time point.

[0075] 404. Determine whether the temperature monitoring subsystem has a fault based on the actual temperature of the cloud cabin at the current time point, the simulated temperature of the cloud cabin at the current time point, and the temperature fault deviation threshold at the current time point.

[0076] There are many ways to detect whether the temperature monitoring subsystem fails in step 404, which include, for example:

[0077] (1) If the target temperature deviation at the current time point is greater than or equal to the temperature fault deviation threshold at the current time point, it is determined that the temperature monitoring subsystem has a fault. At this time, step 404 may specifically include the following steps 4041A to 4043A:

[0078] 4041A. Determine a target temperature deviation at the current time point based on the actual temperature of the cloud cabin at the current time point and the simulated temperature of the cloud cabin at the current time point.

[0079] Among them, the target temperature deviation refers to the deviation between the actual temperature of the cloud cabin and the simulated temperature of the cloud cabin.

[0080] 4042A. If the target temperature deviation at the current time point is greater than or equal to the temperature fault deviation threshold at the current time point, it is determined that a fault exists in the temperature monitoring subsystem.

[0081] 4043A. If the target temperature deviation at the current time point is less than the temperature fault deviation threshold at the current time point, it is determined that there is no fault in the temperature monitoring subsystem.

[0082] (2) In order to improve the accuracy of temperature fault identification, the target temperature deviation at the current time point and the temperature fault frequency at the current time point can also be combined to determine whether the temperature monitoring subsystem has a fault. At this time, step 404 can specifically include the following steps 4041B to 4046B:

[0083] 4041B. Obtain the number of temperature deviation time points after the first opening time point and before the current time point.

[0084] The temperature deviation time point refers to the time point at which the actual temperature of the cloud cabin differs from the simulated temperature of the cloud cabin. For example, after the first opening time point t1 and before the current time point t10, the temperature of the cloud cabin is monitored once every preset monitoring time (such as 0.01ms) by the temperature monitoring subsystem, and the actual temperature of the cloud cabin at 10 time points t0, t1, t2, t3, ..., t10 is monitored. The simulated temperature of the cloud cabin at time points t1, t2, t3, ..., t10 is simulated by the twin operation model respectively; if the actual temperature of the cloud cabin at time point t1 differs from the simulated temperature of the cloud cabin at time point t1, then time point t1 is used as the temperature deviation time point, and so on, it is determined whether time points t2, t3, ..., t10 are temperature deviation time points, and finally time points t1, t3, t5, t7, t9 are determined as temperature deviation time points, so the number of temperature deviation time points after the first opening time point t0 and before the current time point t10 is 5.

[0085] 4042B. Obtain the number of temperature monitoring time points after the first opening time point and before the current time point.

[0086] For example, after the first opening time point t1 and before the current time point t10, the temperature of the cloud cabin is monitored once every preset monitoring time (such as 0.01ms) by the temperature monitoring subsystem. A total of 10 temperatures at time points t0, t1, t2, t3, ..., t10 are monitored, so the number of temperature monitoring time points is 10.

[0087] 4043B. Obtain the ratio between the number of the temperature deviation time points and the number of the temperature monitoring time points as the temperature failure frequency at the current time point.

[0088] For example, the number of temperature deviation time points after the first opening time point t0 and before the current time point t10 is 5, and the number of temperature monitoring time points after the first opening time point and before the current time point is 10, then the temperature failure frequency at the current time point is 5 / 10.

[0089] 4044B. Determine a target temperature deviation at the current time point based on the actual temperature of the cloud cabin at the current time point and the simulated temperature of the cloud cabin at the current time point.

[0090] 4045B. If the target temperature deviation at the current time point is greater than or equal to the temperature fault deviation threshold at the current time point, or the temperature fault frequency at the current time point is greater than or equal to the preset temperature fault frequency threshold, it is determined that the temperature monitoring subsystem has a fault.

[0091] 4046B. If the target temperature deviation at the current time point is less than the temperature fault deviation threshold at the current time point, and the temperature fault frequency at the current time point is less than the preset temperature fault frequency threshold, it is determined that there is no fault in the temperature monitoring subsystem.

[0092] Therefore, on the one hand, by determining that there is a fault in the temperature monitoring subsystem when the target temperature deviation at the current time point is greater than or equal to the temperature fault deviation threshold at the current time point, it is possible to determine whether the actual temperature of the cloud cabin at the current time point fluctuates too much relative to the simulated temperature of the cloud cabin, and then the temperature deviation amplitude can be used to identify temperature faults and improve the temperature fault recognition rate; on the other hand, by determining that there is a fault in the temperature monitoring subsystem when the temperature fault frequency at the current time point is greater than or equal to the preset temperature fault frequency threshold, the temperature fault can be effectively identified in combination with the temperature fault frequency at the current time point to improve the temperature fault recognition rate.

[0093] Furthermore, in order to improve the temperature control accuracy of the cloud cabin so that the cloud cabin can reach the temperature target value before entering the test, when there is no fault in the temperature monitoring subsystem, but the first opening time is equal to the required temperature control time, and the cloud cabin has not reached the temperature target value at the current time point, you can also refer to the following steps A1~A2 to control the temperature of the cloud cabin to improve the temperature control accuracy of the cloud cabin and avoid the problem of inaccurate temperature control of the cloud cabin due to the low accuracy of the twin operation model. Further, in order to improve the accuracy of the twin operation model's simulation of the cloud chamber environmental control system so that the cloud cabin temperature control can accurately reach the temperature target value using the required temperature control time, when there is no fault in the temperature monitoring subsystem, but the first opening time is equal to the required temperature control time, and the cloud cabin has not reached the temperature target value at the current time point, you can also refer to the following steps A1~A4 to update the twin operation model to improve the accuracy of the required temperature control time. Steps A1~A4 are as follows:

[0094] A1. If the target temperature deviation at the current time point is less than the temperature fault deviation threshold at the current time point, and the temperature fault frequency at the current time point is less than the preset temperature fault frequency threshold, it is determined that there is no fault in the temperature monitoring subsystem, and it is detected whether the first opening time is equal to the required temperature control time.

[0095] A2. If the first opening time is equal to the required temperature control time, and the cloud cabin has not reached the temperature target value at the current time point, the temperature control subsystem is used to control the refrigeration unit of the cloud cabin to be turned on or off until the cloud cabin reaches the temperature target value, and the cloud cabin is used for testing.

[0096] A3. Obtaining the actual control time for the cloud cabin to reach the temperature target value.

[0097] A4. Update the twin operation model using the actual control duration and the temperature target value.

[0098] Therefore, on the first hand, when it is determined through steps 401 to 404 that the temperature monitoring subsystem has a fault, a temperature monitoring subsystem fault reminder can be output, and the cloud cabin can be controlled to stop entering the test phase, so as to avoid the invalid test problem caused by the cloud cabin being unable to accurately reach the temperature target value due to the fault in the temperature monitoring subsystem; on the second hand, when it is determined through steps 401 to 404 that the temperature monitoring subsystem does not have a fault, and through steps A1 to A4 (if the first opening time is equal to the required temperature control time, and the cloud cabin has not reached the temperature target value at the current time point, the temperature control subsystem controls the refrigeration unit of the cloud cabin to be turned on or off) until the cloud cabin is controlled to reach the temperature target value, the cloud cabin is used for testing and the twin operation model is updated, which can avoid the problem of inaccurate temperature control of the cloud cabin due to the low accuracy of the twin operation model and improve the accuracy of the required temperature control time.

[0099] Furthermore, after sending the humidity control command to the humidity monitoring subsystem, the twin operation model of the cloud chamber environment control system can be used to detect whether the humidity monitoring subsystem has a fault, so as to avoid the problem that the cloud chamber cannot accurately reach the humidity target value due to a fault in the humidity monitoring subsystem, thereby avoiding the problem of invalid test caused by the cloud chamber failing to reach the humidity target value normally. For example, Figure 5 As shown, detecting whether the humidity monitoring subsystem is faulty may be performed as shown in steps 501 to 504:

[0100] 501. After the second opening time point of the water vapor generator, the water vapor inlet outlet valve and the water vapor inlet inlet valve, obtain the actual humidity of the cloud cabin at the current time point, and the second opening time length of the water vapor generator, the water vapor inlet outlet valve and the water vapor inlet inlet valve at the current time point.

[0101] Among them, the second opening time refers to the cumulative opening time of the water vapor generator, water vapor import outlet valve and water vapor import inlet valve of the cloud cabin from the time when the humidity monitoring subsystem controls the water vapor generator, water vapor import outlet valve and water vapor import inlet valve of the cloud cabin to the current time point.

[0102] Specifically, the humidity monitoring subsystem can control the humidity of the cloud cabin by controlling the opening and closing of the water vapor generator, water vapor inlet outlet valve and water vapor inlet valve of the cloud cabin, and can monitor the humidity of the cloud cabin at each time point in real time (such as monitoring the humidity of the cloud cabin once every preset monitoring time of 0.01ms), so as to obtain the actual humidity of the cloud cabin at the current time point; after the humidity monitoring subsystem controls the opening of the water vapor generator, water vapor inlet outlet valve and water vapor inlet valve of the cloud cabin, it counts the accumulated opening time of the water vapor generator, water vapor inlet outlet valve and water vapor inlet valve of the cloud cabin at each time point in real time, so as to obtain the second opening time of the water vapor generator, water vapor inlet outlet valve and water vapor inlet valve at the current time point. The humidity monitoring subsystem feeds back the second opening time at the current time point and the actual humidity of the cloud cabin at the current time point to the processing device in real time; thus, the processing device can obtain the actual humidity of the cloud cabin at the current time point and the second opening time at the current time point.

[0103] 502. Obtain the cloud cabin simulated humidity corresponding to the second opening time of the twin operation model as the cloud cabin simulated humidity at the current time point.

[0104] Among them, the humidity of the cloud cabin is obtained by simulating the humidity of the cloud cabin through the twin operation model.

[0105] Specifically, the twin operation model is used to simulate the opening of the water vapor generator, the water vapor inlet outlet valve and the water vapor inlet inlet valve of the cloud cabin. When the twin operation model simulates the opening of the water vapor generator, the water vapor inlet outlet valve and the water vapor inlet inlet valve of the cloud cabin for a second opening time, the simulated humidity of the cloud cabin of the twin operation model at this time is recorded as the simulated humidity of the cloud cabin at the current time point.

[0106] 503. Obtain a humidity fault deviation threshold at the current time point.

[0107] Exemplarily, in order to avoid the problem of inaccurate fault identification caused by using the same humidity fault deviation threshold for different humidity amplitudes, step 503 may include the following steps 5031 to 5032:

[0108] 5031. Obtain a humidity fault relationship equation of the humidity monitoring subsystem.

[0109] Among them, the humidity fault relationship is used to indicate the relationship between the cloud cabin simulated humidity and the humidity fault deviation threshold; in the humidity fault relationship, the higher the cloud cabin simulated humidity, the larger the humidity fault deviation threshold; conversely, the lower the cloud cabin simulated humidity, the smaller the humidity fault deviation threshold.

[0110] Therefore, the humidity fault deviation threshold can be dynamically determined in combination with the amplitude of the cloud cabin simulated humidity at the current time point, avoiding the use of a unified humidity fault deviation threshold to determine whether there is a fault at different time points. Different humidity fault deviation thresholds can be set according to the measurement errors under different humidity amplitudes. This avoids the problem that the humidity anomaly cannot be identified due to a small humidity amplitude but the humidity fault deviation threshold is set too high, and the problem that the humidity anomaly cannot be identified due to a large humidity amplitude but the humidity fault deviation threshold is set too low, thereby improving the humidity fault recognition rate.

[0111] 5032. Substitute the simulated humidity of the cloud cabin at the current time point into the humidity fault relationship equation to calculate the humidity fault deviation threshold value at the current time point.

[0112] In some embodiments, a functional relationship between the cloud cabin simulated humidity and the humidity fault deviation threshold value may be constructed, such as d1=a*T (where d1 is the humidity fault deviation threshold value, a is the coefficient, and T is the cloud cabin simulated humidity) as a humidity fault relationship of the humidity monitoring subsystem. Then, the cloud cabin simulated humidity at the current time point may be substituted into the humidity fault relationship to calculate the humidity fault deviation threshold value at the current time point.

[0113] 504. Determine whether the humidity monitoring subsystem has a fault based on the actual humidity of the cloud cabin at the current time point, the simulated humidity of the cloud cabin at the current time point, and the humidity fault deviation threshold at the current time point.

[0114] There are many ways to detect whether the humidity monitoring subsystem is faulty in step 504, illustratively including:

[0115] (1) If the target humidity deviation at the current time point is greater than or equal to the humidity fault deviation threshold at the current time point, it is determined that the humidity monitoring subsystem has a fault. At this time, step 504 may specifically include the following steps 5041A to 5043A:

[0116] 5041A. Determine a target humidity deviation at the current time point based on the actual humidity of the cloud cabin at the current time point and the simulated humidity of the cloud cabin at the current time point.

[0117] Among them, the target humidity deviation refers to the deviation between the actual humidity in the cloud cabin and the simulated humidity in the cloud cabin.

[0118] 5042A. If the target humidity deviation at the current time point is greater than or equal to the humidity fault deviation threshold at the current time point, it is determined that a fault exists in the humidity monitoring subsystem.

[0119] 5043A. If the target humidity deviation at the current time point is less than the humidity fault deviation threshold at the current time point, it is determined that there is no fault in the humidity monitoring subsystem.

[0120] (2) In order to improve the accuracy of humidity fault identification, the target humidity deviation at the current time point and the humidity fault frequency at the current time point can also be combined to determine whether the humidity monitoring subsystem has a fault. At this time, step 504 can specifically include the following steps 5041B to 5046B:

[0121] 5041B. Obtain the number of humidity deviation time points after the second opening time point and before the current time point.

[0122] The humidity deviation time point refers to the time point at which the actual humidity of the cloud cabin differs from the simulated humidity of the cloud cabin. For example, after the second opening time point t1 and before the current time point t10, the humidity of the cloud cabin is monitored once every preset monitoring time (such as 0.01ms) by the humidity monitoring subsystem, and the actual humidity of the cloud cabin at 10 time points t0, t1, t2, t3, ..., t10 is monitored. The simulated humidity of the cloud cabin at time points t1, t2, t3, ..., t10 is simulated by the twin operation model; if the actual humidity of the cloud cabin at time point t1 differs from the simulated humidity of the cloud cabin at time point t1, then time point t1 is used as the humidity deviation time point, and so on, it is determined whether time points t2, t3, ..., t10 are humidity deviation time points, and finally time points t1, t3, t5, t7, t9 are determined as humidity deviation time points, so the number of humidity deviation time points after the second opening time point t0 and before the current time point t10 is 5.

[0123] 5042B. Obtain the number of humidity monitoring time points after the second opening time point and before the current time point.

[0124] For example, after the second opening time point t1 and before the current time point t10, the humidity of the cloud cabin is monitored once every preset monitoring time (such as 0.01ms) by the humidity monitoring subsystem, and the humidity at a total of 10 time points t0, t1, t2, t3, ..., t10 is monitored, so the number of humidity monitoring time points is 10.

[0125] 5043B. Obtain the ratio between the number of the humidity deviation time points and the number of the humidity monitoring time points as the humidity failure frequency at the current time point.

[0126] For example, the number of humidity deviation time points after the second opening time point t0 and before the current time point t10 is 5, and the number of humidity monitoring time points after the second opening time point and before the current time point is 10, then the humidity failure frequency at the current time point is 5 / 10.

[0127] 5044B. Determine a target humidity deviation at the current time point based on the actual humidity of the cloud cabin at the current time point and the simulated humidity of the cloud cabin at the current time point.

[0128] 5045B. If the target humidity deviation at the current time point is greater than or equal to the humidity fault deviation threshold at the current time point, or the humidity fault frequency at the current time point is greater than or equal to the preset humidity fault frequency threshold, it is determined that the humidity monitoring subsystem has a fault.

[0129] 5046B. If the target humidity deviation at the current time point is less than the humidity fault deviation threshold at the current time point, and the humidity fault frequency at the current time point is less than the preset humidity fault frequency threshold, it is determined that there is no fault in the humidity monitoring subsystem.

[0130] Therefore, on the one hand, by determining that there is a fault in the humidity monitoring subsystem when the target humidity deviation at the current time point is greater than or equal to the humidity fault deviation threshold at the current time point, it is possible to determine whether the actual humidity of the cloud cabin at the current time point fluctuates too much relative to the simulated humidity of the cloud cabin, and then the humidity deviation amplitude can be used to identify humidity faults and improve the humidity fault recognition rate; on the other hand, by determining that there is a fault in the humidity monitoring subsystem when the humidity fault frequency at the current time point is greater than or equal to the preset humidity fault frequency threshold, the humidity fault can be effectively identified in combination with the humidity fault frequency at the current time point to improve the humidity fault recognition rate.

[0131] Furthermore, in order to improve the accuracy of humidity control in the cloud cabin, so that the cloud cabin can reach the humidity target value before entering the test, when there is no fault in the humidity monitoring subsystem, but the second opening time is equal to the required humidity control time, and the cloud cabin has not reached the humidity target value at the current time point, the humidity of the cloud cabin can also be controlled by referring to the following steps B1 to B2 to improve the accuracy of humidity control in the cloud cabin and avoid the problem of inaccurate humidity control in the cloud cabin due to the low accuracy of the twin operation model. Further, in order to improve the accuracy of the twin operation model's simulation of the cloud chamber environmental control system, so that the cloud cabin humidity control can accurately reach the humidity target value using the required humidity control time, when there is no fault in the humidity monitoring subsystem, but the second opening time is equal to the required humidity control time, and the cloud cabin has not reached the humidity target value at the current time point, the twin operation model can also be updated by referring to the following steps B1 to B4 to improve the accuracy of the required humidity control time. Steps B1 to B4 are as follows:

[0132] B1. If the target humidity deviation at the current time point is less than the humidity fault deviation threshold at the current time point, and the humidity fault frequency at the current time point is less than the preset humidity fault frequency threshold, it is determined that there is no fault in the humidity monitoring subsystem, and it is detected whether the second opening time is equal to the required humidity control time.

[0133] B2. If the second opening time is equal to the required humidity control time, and the cloud cabin has not reached the humidity target value at the current time point, the humidity control subsystem controls the water vapor generator, the water vapor inlet outlet valve and the water vapor inlet inlet valve of the cloud cabin to open or close until the cloud cabin reaches the humidity target value, and then the cloud cabin is used for testing.

[0134] B3. Obtaining the actual control time for the cloud cabin to reach the humidity target value.

[0135] B4. Using the actual control duration and the humidity target value, update the twin operation model.

[0136] Therefore, on the first hand, when it is determined through steps 501 to 504 that the humidity monitoring subsystem has a fault, a humidity monitoring subsystem fault reminder can be output, and the cloud cabin can be controlled to stop entering the test phase, so as to avoid the invalid test problem caused by the cloud cabin being unable to accurately reach the humidity target value due to the fault in the humidity monitoring subsystem; on the second hand, when it is determined through steps 501 to 504 that the humidity monitoring subsystem does not have a fault, and through steps B1 to B4 (if the second opening time is equal to the required humidity control time, and the cloud cabin has not reached the humidity target value at the current time point, the humidity control subsystem controls the cloud cabin's water vapor generator, water vapor inlet outlet valve and water vapor inlet valve to be opened or closed) until the cloud cabin is controlled to reach the humidity target value, the cloud cabin is used for testing again, and the twin operation model is updated, which can avoid the problem of inaccurate cloud cabin humidity control caused by the low accuracy of the twin operation model and improve the accuracy of the required humidity control time.

[0137] Furthermore, after sending the pressure control command to the pressure monitoring subsystem, the twin operation model of the cloud chamber environment control system can be used to detect whether the pressure monitoring subsystem has a fault, so as to avoid the problem that the cloud chamber cannot accurately reach the pressure target value due to a fault in the pressure monitoring subsystem, thereby avoiding the problem of invalid test caused by the cloud chamber failing to reach the pressure target value normally. For example, Figure 6 As shown, detecting whether the pressure monitoring subsystem is faulty may be performed as shown in steps 601 to 604:

[0138] 601. After the third opening time point of the dew point meter isolation valve, obtain the actual pressure of the cloud cabin at the current time point and the third opening time length of the dew point meter isolation valve at the current time point.

[0139] Among them, the third opening time refers to the cumulative opening time of the dew point meter isolation valve of the cloud cabin from the time when the pressure monitoring subsystem controls the dew point meter isolation valve of the cloud cabin to open to the current time point.

[0140] Specifically, the pressure monitoring subsystem can control the pressure of the cloud cabin by controlling the opening and closing of the dew point meter isolation valve of the cloud cabin, and can monitor the pressure of the cloud cabin at each time point in real time (such as monitoring the pressure of the cloud cabin once every preset monitoring time of 0.01ms), so as to obtain the actual pressure of the cloud cabin at the current time point; after the pressure monitoring subsystem controls the opening of the dew point meter isolation valve of the cloud cabin, it counts the accumulated opening time of the dew point meter isolation valve of the cloud cabin at each time point in real time, so as to obtain the third opening time of the dew point meter isolation valve at the current time point. The pressure monitoring subsystem feeds back the third opening time at the current time point and the actual pressure of the cloud cabin at the current time point to the processing device in real time; thus, the processing device can obtain the actual pressure of the cloud cabin at the current time point and the third opening time at the current time point.

[0141] 602. Obtain the cloud cabin simulation pressure corresponding to the third opening time length of the twin operation model as the cloud cabin simulation pressure at the current time point.

[0142] Among them, the simulated pressure of the cloud cabin is the pressure of the cloud cabin obtained by simulating the twin operation model.

[0143] Specifically, the twin operation model is used to simulate the opening of the dew point meter isolation valve of the cloud cabin. When the twin operation model simulates the opening of the dew point meter isolation valve of the cloud cabin for a third opening time, the twin operation model records the cloud cabin simulated pressure at this time as the cloud cabin simulated pressure at the current time point.

[0144] 603. Obtain a pressure fault deviation threshold at the current time point.

[0145] Exemplarily, in order to avoid the problem of inaccurate fault identification caused by using the same pressure fault deviation threshold for different pressure amplitudes, step 603 may include the following steps 6031-6032:

[0146] 6031. Obtain a pressure fault relationship equation of the pressure monitoring subsystem.

[0147] Among them, the pressure fault relationship formula is used to indicate the relationship between the cloud cabin simulation pressure and the pressure fault deviation threshold; in the pressure fault relationship formula, the higher the cloud cabin simulation pressure, the larger the pressure fault deviation threshold; conversely, the lower the cloud cabin simulation pressure, the smaller the pressure fault deviation threshold.

[0148] Therefore, the pressure fault deviation threshold can be dynamically determined in combination with the amplitude of the simulated pressure in the cloud cabin at the current time point, avoiding the use of a unified pressure fault deviation threshold to determine whether there is a fault at different time points. Different pressure fault deviation thresholds can be set according to the measurement errors under different pressure amplitudes, thereby avoiding the problem that the pressure anomaly cannot be identified due to a small pressure amplitude but the pressure fault deviation threshold is set too high, and avoiding the problem that the pressure anomaly cannot be identified due to a large pressure amplitude but the pressure fault deviation threshold is set too low, thereby improving the pressure fault recognition rate.

[0149] 6032. Substitute the simulated pressure of the cloud cabin at the current time point into the pressure fault relationship equation to calculate the pressure fault deviation threshold value at the current time point.

[0150] In some embodiments, a functional relationship between the cloud cabin simulation pressure and the pressure fault deviation threshold can be constructed, such as d1=a*T (where d1 is the pressure fault deviation threshold, a is the coefficient, and T is the cloud cabin simulation pressure), as the pressure fault relationship of the pressure monitoring subsystem. Then, the cloud cabin simulation pressure at the current time point can be substituted into the pressure fault relationship to calculate the pressure fault deviation threshold at the current time point.

[0151] 604. Determine whether the pressure monitoring subsystem has a fault based on the actual pressure of the cloud cabin at the current time point, the simulated pressure of the cloud cabin at the current time point, and the pressure fault deviation threshold at the current time point.

[0152] There are many ways to detect whether the pressure monitoring subsystem fails in step 604, which include, for example:

[0153] (1) If the target pressure deviation at the current time point is greater than or equal to the pressure fault deviation threshold at the current time point, it is determined that the pressure monitoring subsystem has a fault. At this time, step 604 may specifically include the following steps 6041A to 6043A:

[0154] 6041A. Determine a target pressure deviation at the current time point based on the actual pressure of the cloud cabin at the current time point and the simulated pressure of the cloud cabin at the current time point.

[0155] Among them, the target pressure deviation refers to the deviation between the actual pressure of the cloud cabin and the simulated pressure of the cloud cabin.

[0156] 6042A. If the target pressure deviation at the current time point is greater than or equal to the pressure fault deviation threshold at the current time point, it is determined that a fault exists in the pressure monitoring subsystem.

[0157] 6043A. If the target pressure deviation at the current time point is less than the pressure fault deviation threshold at the current time point, it is determined that there is no fault in the pressure monitoring subsystem.

[0158] (2) In order to improve the accuracy of pressure fault identification, the target pressure deviation at the current time point and the pressure fault frequency at the current time point can also be combined to determine whether the pressure monitoring subsystem has a fault. At this time, step 604 can specifically include the following steps 6041B to 6046B:

[0159] 6041B. Obtain the number of pressure deviation time points after the third opening time point and before the current time point.

[0160] The pressure deviation time point refers to the time point at which there is a difference between the actual pressure of the cloud cabin and the simulated pressure of the cloud cabin. For example, after the third opening time point t1 and before the current time point t10, the pressure of the cloud cabin is monitored once at a preset monitoring time interval (such as 0.01ms) by the pressure monitoring subsystem, and the actual pressures of the cloud cabin at 10 time points t0, t1, t2, t3, ..., t10 are monitored. The twin operation model is used to simulate and obtain the simulated pressures of the cloud cabin at time points t1, t2, t3, ..., t10 respectively; if there is a difference between the actual pressure of the cloud cabin at time point t1 and the simulated pressure of the cloud cabin at time point t1, then time point t1 is used as the pressure deviation time point, and so on, and whether time points t2, t3, ..., t10 are pressure deviation time points is determined respectively, and finally time points t1, t3, t5, t7, and t9 are determined as pressure deviation time points. Therefore, the number of pressure deviation time points after the third opening time point t0 and before the current time point t10 is 5.

[0161] 6042B. Obtain the number of pressure monitoring time points after the third opening time point and before the current time point.

[0162] For example, after the third opening time point t1 and before the current time point t10, the pressure of the cloud cabin is monitored once every preset monitoring time (such as 0.01ms) by the pressure monitoring subsystem. A total of 10 pressure points t0, t1, t2, t3, ..., t10 are monitored, so the number of pressure monitoring time points is 10.

[0163] 6043B. Obtain the ratio between the number of the pressure deviation time points and the number of the pressure monitoring time points as the pressure failure frequency at the current time point.

[0164] For example, the number of pressure deviation time points after the third opening time point t0 and before the current time point t10 is 5, and the number of pressure monitoring time points after the third opening time point and before the current time point is 10, then the pressure failure frequency at the current time point is 5 / 10.

[0165] 6044B. Determine a target pressure deviation at the current time point based on the actual pressure of the cloud cabin at the current time point and the simulated pressure of the cloud cabin at the current time point.

[0166] 6045B. If the target pressure deviation at the current time point is greater than or equal to the pressure fault deviation threshold at the current time point, or the pressure fault frequency at the current time point is greater than or equal to the preset pressure fault frequency threshold, it is determined that the pressure monitoring subsystem has a fault.

[0167] 6046B. If the target pressure deviation at the current time point is less than the pressure fault deviation threshold at the current time point, and the pressure fault frequency at the current time point is less than the preset pressure fault frequency threshold, it is determined that there is no fault in the pressure monitoring subsystem.

[0168] Therefore, on the one hand, by determining that there is a fault in the pressure monitoring subsystem when the target pressure deviation at the current time point is greater than or equal to the pressure fault deviation threshold at the current time point, it is possible to determine whether the actual pressure of the cloud cabin at the current time point fluctuates too much relative to the simulated pressure of the cloud cabin, and then the pressure deviation amplitude can be used to identify the pressure fault and improve the pressure fault recognition rate; on the other hand, by determining that there is a fault in the pressure monitoring subsystem when the pressure fault frequency at the current time point is greater than or equal to the preset pressure fault frequency threshold, the pressure fault can be effectively identified in combination with the pressure fault frequency at the current time point to improve the pressure fault recognition rate.

[0169] Furthermore, in order to improve the pressure control accuracy of the cloud cabin so that the cloud cabin can reach the pressure target value before entering the test, when there is no fault in the pressure monitoring subsystem, but the third opening time is equal to the required pressure control time, and the cloud cabin has not reached the pressure target value at the current time point, the cloud cabin pressure can also be controlled by referring to the following steps C1 to C2 to improve the pressure control accuracy of the cloud cabin and avoid the problem of inaccurate pressure control of the cloud cabin due to the low accuracy of the twin operation model. Further, in order to improve the accuracy of the twin operation model's simulation of the cloud chamber environmental control system so that the cloud cabin pressure control can accurately reach the pressure target value using the required pressure control time, when there is no fault in the pressure monitoring subsystem, but the third opening time is equal to the required pressure control time, and the cloud cabin has not reached the pressure target value at the current time point, the twin operation model can also be updated by referring to the following steps C1 to C4 to improve the accuracy of the required pressure control time. Steps C1 to C4 are as follows:

[0170] C1. If the target pressure deviation at the current time point is less than the pressure fault deviation threshold at the current time point, and the pressure fault frequency at the current time point is less than the preset pressure fault frequency threshold, it is determined that there is no fault in the pressure monitoring subsystem, and the third opening time is detected whether it is equal to the required pressure control time.

[0171] C2. If the third opening time is equal to the required pressure control time, and the cloud chamber has not reached the target pressure value at the current time point, the dew point meter isolation valve of the cloud chamber is controlled to be opened or closed by the pressure control subsystem until the cloud chamber reaches the target pressure value, and the cloud chamber is used for testing.

[0172] C3. Obtaining the actual control time for the cloud cabin to reach the target pressure value.

[0173] C4. Update the twin operation model using the actual control duration and the pressure target value.

[0174] Therefore, on the first hand, when it is determined through steps 601 to 604 that the pressure monitoring subsystem has a fault, a pressure monitoring subsystem fault reminder can be output, and the cloud cabin can be controlled to stop entering the test phase, so as to avoid the invalid test problem caused by the cloud cabin being unable to accurately reach the pressure target value due to the fault in the pressure monitoring subsystem; on the second hand, when it is determined through steps 601 to 604 that the pressure monitoring subsystem does not have a fault, and through steps C1 to C4 (if the third opening time is equal to the required pressure control time, and the cloud cabin has not reached the pressure target value at the current time point, the dew point meter isolation valve of the cloud cabin is controlled to be opened or closed by the pressure control subsystem) until the cloud cabin is controlled to reach the pressure target value, and then the cloud cabin is used for testing and the twin operation model is updated, which can avoid the problem of inaccurate cloud cabin pressure control due to the low accuracy of the twin operation model and improve the accuracy of the required pressure control time.

[0175] From the above content, it can be seen that by obtaining the temperature time change curve, humidity time change curve and pressure time change curve based on the historical test environment data of the cloud chamber environment control system, the twin operation model of the cloud chamber environment control system is constructed; and the twin operation model is used to simulate the required temperature control time, humidity control time and pressure control time corresponding to the target value of the environmental data, and the cloud chamber environment data is controlled according to the required temperature control time, humidity control time and pressure control time corresponding to the target value of the environmental data. Therefore, on the first hand, the corresponding instruments or system equipment of the cloud chamber can be turned on or off according to the required temperature control time, without first detecting that the temperature reaches the target value and then shutting down the refrigeration unit, avoiding the problem of inaccurate temperature control of the cloud chamber due to a certain time difference between detecting that the temperature meets the target value and the shutdown operation, thereby improving the accuracy of cloud chamber temperature control. On the second hand, the corresponding instruments or system equipment of the cloud cabin can be controlled to be turned on or off according to the required humidity control duration, without the need to first detect that the humidity reaches the target value and then close the water vapor generator, the water vapor import outlet valve and the water vapor import inlet valve, so as to avoid the problem of inaccurate cloud cabin humidity control due to a certain time difference between the detection of humidity meeting the target value and the closing operation, thereby improving the accuracy of cloud cabin humidity control. On the third hand, the corresponding instruments or system equipment of the cloud cabin can be controlled to be turned on or off according to the required pressure control duration, without the need to first detect that the pressure reaches the target value and then close the dew point meter isolation valve, so as to avoid the problem of inaccurate cloud cabin pressure control due to a certain time difference between the detection of pressure meeting the target value and the closing operation, thereby improving the accuracy of cloud cabin pressure control. Therefore, this embodiment can use the twin operation model of the cloud chamber environment control system to simulate the environmental data of the cloud cabin in advance, and use the simulation results to control the cloud cabin environmental data through the monitoring subsystem, so as to improve the control accuracy of the cloud cabin environmental data and reduce invalid test processes.

[0176] A person of ordinary skill in the art can understand that all or part of the steps in the above-mentioned digital twin-based environmental data processing method can be completed by instructions, or by controlling related hardware through instructions. The instructions can be stored in a computer-readable storage medium and loaded and executed by a processor.

[0177] To this end, an embodiment of the present application provides a computer-readable storage medium, in which multiple computer programs are stored. The computer programs can be loaded by a processor to execute any one of the digital twin-based environmental data processing methods provided in the embodiments of the present application.

[0178] The computer-readable storage medium may include: a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0179] In the above processing device and computer-readable storage medium embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, refer to the relevant descriptions of other embodiments. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process and beneficial effects of the computer-readable storage medium, processing device and its corresponding units described above can refer to the description of the environmental data processing method based on digital twins in the above embodiment, and will not be repeated here.

[0180] The above is a detailed introduction to the environmental data processing method, processing equipment and computer-readable storage medium based on digital twins provided in the embodiments of the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for technical personnel in this field, according to the ideas of the present application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A method for processing environmental data based on digital twins, characterized in that: The method comprises: Based on the historical test environment data of the cloud chamber environment control system, a temperature time variation curve, a humidity time variation curve and a pressure time variation curve are obtained, wherein the cloud chamber environment control system includes a cloud chamber, a temperature monitoring subsystem, a humidity monitoring subsystem and a pressure monitoring subsystem; Based on the temperature time variation curve, the humidity time variation curve and the pressure time variation curve, construct a twin operation model of the cloud chamber environment control system; Obtaining a target value of environmental data of the cloud cabin; Obtain the required temperature control time, required humidity control time, and required pressure control time corresponding to the target value of the environmental data simulated by the twin operation model; The environmental data of the cloud cabin is controlled by the temperature monitoring subsystem, the humidity monitoring subsystem and the pressure monitoring subsystem according to the required temperature control time, the required humidity control time and the required pressure control time.

2. The method for processing environmental data based on digital twins according to claim 1, characterized in that: The controlling of the environmental data of the cloud cabin according to the required temperature control time, the required humidity control time and the required pressure control time by the temperature monitoring subsystem, the humidity monitoring subsystem and the pressure monitoring subsystem includes: By means of the temperature monitoring subsystem, the refrigeration unit of the cloud cabin is controlled to be turned on and off according to the required temperature control duration, so as to control the temperature of the cloud cabin; By means of the humidity monitoring subsystem, the opening and closing of the water vapor generator, the water vapor inlet outlet valve and the water vapor inlet inlet valve of the cloud cabin are controlled according to the required humidity control duration, so as to control the humidity of the cloud cabin; The pressure of the cloud chamber is controlled by the pressure monitoring subsystem by controlling the opening and closing of the dew point meter isolation valve of the cloud chamber according to the required pressure control time.

3. The method for processing environmental data based on digital twins according to claim 2 is characterized in that: The method further comprises: After the first opening time point of the refrigeration unit, obtaining the actual temperature of the cloud cabin at the current time point and the first opening time length of the refrigeration unit at the current time point; Obtaining a cloud cabin simulation temperature corresponding to the first opening duration of the twin operation model as the cloud cabin simulation temperature at the current time point; Obtaining a temperature fault deviation threshold at the current time point; Based on the actual temperature of the cloud cabin at the current time point, the simulated temperature of the cloud cabin at the current time point, and the temperature fault deviation threshold at the current time point, it is determined whether the temperature monitoring subsystem has a fault.

4. The method for processing environmental data based on digital twins according to claim 3 is characterized in that: The obtaining of the temperature fault deviation threshold at the current time point includes: Acquire a temperature fault relationship formula of the temperature monitoring subsystem, wherein the temperature fault relationship formula is used to indicate a relationship between a simulated temperature of the cloud cabin and a temperature fault deviation threshold; The simulated temperature of the cloud cabin at the current time point is substituted into the temperature fault relationship equation to calculate the temperature fault deviation threshold at the current time point.

5. The method for processing environmental data based on digital twins according to claim 3 is characterized in that: The determining whether the temperature monitoring subsystem has a fault based on the actual temperature of the cloud cabin at the current time point, the simulated temperature of the cloud cabin at the current time point, and the temperature fault deviation threshold at the current time point includes: Obtaining the number of temperature deviation time points after the first opening time point and before the current time point, wherein the temperature deviation time point refers to a time point at which there is a difference between the actual temperature of the cloud cabin and the simulated temperature of the cloud cabin; Obtaining the number of temperature monitoring time points after the first opening time point and before the current time point; Obtaining the ratio between the number of the temperature deviation time points and the number of the temperature monitoring time points as the temperature fault frequency at the current time point; Determining a target temperature deviation at the current time point based on the actual temperature of the cloud cabin at the current time point and the simulated temperature of the cloud cabin at the current time point; If the target temperature deviation at the current time point is greater than or equal to the temperature fault deviation threshold at the current time point, or the temperature fault frequency at the current time point is greater than or equal to the preset temperature fault frequency threshold, it is determined that the temperature monitoring subsystem has a fault.

6. According to the method for processing environmental data based on digital twins according to claim 5, it is characterized in that: The method further comprises: If the target temperature deviation at the current time point is less than the temperature fault deviation threshold at the current time point, and the temperature fault frequency at the current time point is less than the preset temperature fault frequency threshold, it is determined that there is no fault in the temperature monitoring subsystem, and whether the first opening time is equal to the required temperature control time is detected; If the first opening time is equal to the required temperature control time, and the cloud cabin has not reached the temperature target value at the current time point, the temperature control subsystem is used to control the refrigeration unit of the cloud cabin to be turned on or off until the cloud cabin reaches the temperature target value, and the cloud cabin is used to conduct a test; Obtaining the actual control time for the cloud cabin to reach the temperature target value; The twin operation model is updated using the actual control duration and the temperature target value.

7. The method for processing environmental data based on digital twins according to claim 2, characterized in that: The method further comprises: After the second opening time point of the water vapor generator, the water vapor introduction outlet valve and the water vapor introduction inlet valve, obtaining the actual humidity of the cloud cabin at the current time point, and the second opening time length of the water vapor generator, the water vapor introduction outlet valve and the water vapor introduction inlet valve at the current time point; Obtaining the cloud cabin simulated humidity corresponding to the second opening duration of the twin operation model as the cloud cabin simulated humidity at the current time point; Obtaining the humidity fault deviation threshold at the current time point; Based on the actual humidity of the cloud cabin at the current time point, the simulated humidity of the cloud cabin at the current time point, and the humidity fault deviation threshold at the current time point, it is determined whether the humidity monitoring subsystem has a fault.

8. The method for processing environmental data based on digital twins according to claim 2, characterized in that: The method further comprises: After the third opening time point of the dew point meter isolation valve, obtaining the actual pressure of the cloud cabin at the current time point and the third opening time length of the dew point meter isolation valve at the current time point; Obtaining the cloud cabin simulation pressure of the twin operation model corresponding to the third opening duration as the cloud cabin simulation pressure at the current time point; Obtaining the pressure fault deviation threshold at the current time point; Based on the actual pressure of the cloud cabin at the current time point, the simulated pressure of the cloud cabin at the current time point, and the pressure fault deviation threshold at the current time point, it is determined whether the pressure monitoring subsystem has a fault.

9. A processing device, characterized in that: It includes a processor and a memory, wherein a computer program is stored in the memory, and when the processor calls the computer program in the memory, the digital twin-based environmental data processing method as described in any one of claims 1 to 8 is executed.

10. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and the computer program is loaded by a processor to execute the digital twin-based environmental data processing method as described in any one of claims 1 to 8.

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